CN116257102B - Digital twin pig farm based remote control system and control method - Google Patents
Digital twin pig farm based remote control system and control method Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention relates to the technical field of intelligent breeding control, in particular to a digital twin pig farm-based remote control system and a control method, wherein the system comprises a marking unit, a data acquisition unit, a data processing unit, an execution unit, an input unit, a display unit and a control platform, and the control platform determines whether the sign of a pig body is stable according to the body temperature condition of the pig body; determining the activity degree of the pig body according to the path length of the pig body activity path in unit time; determining the engraving degree of the pig body according to the repetition degree of the pig body movement path in unit time, determining the comprehensive digestion index value of the pig body according to the feed intake and excretion of the pig body, predicting the growth period of the pig body according to the weight growth condition of the pig body, and changing the feed types and quality of the pig body in different growth stages so as to meet the growth needs of the pig body in different growth stages.
Description
Technical Field
The invention relates to the technical field of intelligent breeding control, in particular to a digital twin pig farm-based remote control system and a digital twin pig farm-based remote control method.
Background
With the development and application of information technology, artificial intelligence technology is gradually and widely applied to the fields of industrial production, energy sources, traffic and the like. In the breeding industry, the problems of high labor cost, low production efficiency, low disease prevention and control capability, high feed waste rate and the like of the traditional large-scale breeding mode are difficult to meet the increasing pork demands in the development process of China society, so that the pig breeding industry in the future is necessarily upgraded to a large-scale, intelligent and intensive breeding mode with the advantages of low labor cost, high production efficiency, high disease prevention and control capability and the like.
Chinese patent publication No.: CN107578341a discloses a farming data monitoring system for livestock farms, comprising: ear tags mounted on ears of each animal; the electronic scales are distributed in each cultivation fence, and each electronic scale is positioned beside a drinking point so that livestock can weigh when drinking water; ear tag readers distributed in the breeding columns, wherein an ear tag reader is arranged beside each electronic scale so as to read the ear tag number of the ear tag of the livestock when the livestock are weighed; a meter mounted on each electronic scale, the meter collecting information about the ear tag, weight, number of the breeding fence, and date and time of weighing of the livestock when the livestock drinks water as a livestock drinking message; the data processing device receives livestock drinking water information from each instrument to acquire breeding data; the early warning unit is used for responding to the abnormal cultivation data to generate early warning information; the communication unit is used for transmitting the early warning information to the mobile terminal of the user; therefore, the technical scheme can provide data of each livestock, each column, each house and each farm, provides important attention objects for a raising manager and provides early warning information, but has the following problems: the intelligent level of the technical scheme is imperfect, early warning information can be provided only according to the comparison of the culture data and the standard, the standard can not be updated according to the growth state of the breeding object, and a solution and an execution scheme for the corresponding early warning information are not provided.
Disclosure of Invention
Therefore, the invention provides a digital twin pig farm-based remote control system and a digital twin pig farm-based remote control method, which are used for solving the problems that standards cannot be updated according to the growth state of a feeding object in the prior art and the intelligent level is low.
To achieve the above object, in one aspect, the present invention provides a digital twin pig farm based remote control system, comprising:
further, the marking unit comprises a plurality of radio frequency identification tags for determining the pig body information, and is used for distinguishing each pig body and recording the birth date information and the birth weight information of the pig body bound with the radio frequency identification tags;
the data acquisition unit comprises a tag identifier which is arranged in the pig farm and used for identifying the marking unit, a first acquisition unit which is used for acquiring environmental data in the pig farm, a plurality of second acquisition units which are used for acquiring position data and physical sign data of each pig body, and a plurality of third acquisition units which are used for acquiring feeding and defecating data of the pig body;
the data processing unit is respectively connected with the marking unit and the data acquisition unit and is used for generating a pig body moving path according to the position data acquired by the second acquisition unit, calculating the repetition degree of the pig body moving path in unit time, generating an average value of each pig body according to the pig body temperature acquired by the second acquisition unit and calculating the comprehensive digestion index value of the pig body according to the pig body feeding data and the defecation data acquired by the third acquisition unit;
The execution unit is connected with the control platform and arranged in the pig farm and comprises a pig farm cleaning unit for adjusting the environmental parameters of the pig farm through ventilation, cleaning, heating and cooling, through the intelligent robot which runs on the track and is used for providing toys, feeding feeds with different types and different weights and drinking water to each pig house, the isolation device which is hung on the inner wall of the roof of the pig house and is used for isolating unstable pig bodies and the multipoint feeding device which is used for increasing the movement quantity of the pig bodies;
the input unit is connected with the control platform and used for inputting a fixed execution command and a modification command for modifying the fixed execution command, wherein the fixed execution command comprises a ventilation command, a temperature adjustment command, a cleaning command and a timing feeding command;
the control platform is respectively connected with the data acquisition unit, the data processing unit and the execution unit and is used for determining the activity degree of the pig body according to the path length of the pig body activity path in unit time, determining the engraving degree of the pig body according to the repetition degree of the pig body activity path in unit time under the condition of the first activity degree, determining whether the pig body is normally digested or not according to the comparison result of the comprehensive digestion index value of the pig body and the preset index calculated by the data processing unit, and predicting the growth period of the pig body and adjusting the corresponding standard path length values of different growth stages of the pig body according to the birth weight and the weight growth condition of the pig body;
The display unit is respectively connected with the data acquisition unit and the control platform and used for generating a digital twin model of each pig body activity of the pig farm according to the data acquired by the data acquisition unit and the operation executed by the control platform control execution unit;
the first liveness is that the length of the pig body moving path is not smaller than a standard path length value.
Further, the control platform determines whether the sign of the pig body is stable or not according to the highest value of the body temperature of the single pig body, the preset normal pig body temperature and the preset deviation absolute value of the body temperature average value of each pig body;
if the body temperature of the pig is not greater than the highest value of the preset normal body temperature of the pig and is smaller than the absolute value of the preset deviation of the average body temperature value of each pig, the control platform judges that the body sign of the pig is stable;
if the body temperature of the pig is greater than the highest value of the preset normal body temperature of the pig or greater than the absolute value of the preset deviation of the average body temperature of each pig, the control platform judges that the sign of the pig is unstable, and the control platform controls the execution unit to execute isolation measures on the pig and send sign exceeding early warning information;
the isolation measures are to physically separate the physical unstable pig body from other pig bodies so that body fluid of the physical unstable pig body cannot escape out of the physical separation area.
Further, the isolation device used in the isolation measure includes:
the movable rail is arranged on the inner side of the roof of the pig farm, and is paved according to the positions of the pig farms so that the closed isolation box can automatically move to the position right above each pig farm;
the size of the closed isolation box is set according to the size of the pig house, the rollers of the closed isolation box are fixed in the moving track, the top of the box body of the closed isolation box is connected with the rollers through a telescopic rope, and the bottom of the box body is provided with a movable bottom plate capable of being controlled to open and close and used for isolating the unstable pig body with signs;
the closed ventilation unit comprises a ventilation device which is connected to the outside of the pig farm from the inside of the closed isolation box through the top of the isolation box, and an injection device which is arranged in the closed isolation box and used for injecting disinfectant and an ultraviolet lamp used for disinfection;
the sign monitoring assembly is arranged inside the closed isolation box and comprises a temperature sensor and a miniature camera head, and is used for monitoring the body temperature and the state condition of the pig body in the closed isolation box.
Further, the control platform determines the activity degree of the single pig body according to the path length of the single pig body moving path in unit time under the first sign judging condition, the control platform compares the accumulated moving path length of the pig body with the standard path length value in a preset period,
If the accumulated movement path length in the preset period is not smaller than the standard path length value, judging that the amount of the pig body exercise reaches the standard and is in the first liveness;
if the accumulated movement path length in the preset period is smaller than the standard path length value, judging that the movement quantity of the pig body does not reach the standard, and judging that the pig is in the second activity;
and the first sign judging condition is that the control platform judges that the pig sign is stable.
Further, under the first liveness condition, the control platform determines the engraving degree of the pig body according to the repetition degree of the pig body movement path in unit time, wherein the engraving degree of the pig body movement pathDetermined by the following formula:
wherein the first activity degree is the repeatability of the pig body moving path in the current unit time, the length of the pig body moving path is not less than the standard path length value,
A1=,/>for measuring total length of accumulated motion path in single pig body measuring period, s1 is 1 st segment repeat path length, < >>For the number of repetitions of the 1 st repetition path length, k is the number of total repetition path sections,/>For the kth segment repetition path length, +.>Repeat times for the kth segment repeat path length; a0 is the average value of the repetitiveness of the historical activity path of the pig body.
Further, the control platform determines a comprehensive digestion index value of the individual pig body according to the feeding amount and the defecation amount of the individual pig body, wherein the comprehensive digestion index value D of the individual pig body is determined by the following formula:
D=
Wherein E1 is the feed intake of the pig body, E0 is the normal feed intake of the preset pig body, the adjustment is carried out according to the weight change of the pig body, L1 is the defecation amount of the pig body, and L0 is the normal defecation amount of the preset pig body.
Further, under the first liveness condition, the control platform is used for controlling the degree of engraving of the pig bodyAnd the preset notch level->0, comparing the comprehensive digestion index value D of the pig body with a preset normal comprehensive digestion value range D0, determining whether the state of the pig body is normal, and controlling the execution unit to take corresponding treatment measures by the control platform under the first state judgment condition, wherein the method comprises the following steps:
if it is0 and D is D0, the control platform judges that the pig body is in a normal state, and no measures are taken for the pig body;
if it is0 and D->D0, the control platform judges that the pig body is in a digestion abnormal state, and the control platform controls the execution unit to adopt a first execution strategy;
if it is0 and D epsilon D0, the control platform judges that the pig body is in an emotional anxiety state, and the control platform controls the execution unit to adopt a second execution strategy;
if it is0 and D->D0, judging that the pig body has a disease risk, and controlling the execution unit to adopt a third execution strategy by the control platform;
the first state judging condition is that the pig body is judged to be in a digestion abnormal state or the pig body is judged to be in an emotional anxiety state or the pig body is judged to have a disease risk;
The first execution strategy is to reduce the feeding amount of the pig body and change the pig feed into digestible feed under a first preset condition; stopping feeding the feed to the pig body under a second preset condition, only providing drinking water on time, observing whether the feeding amount and the defecation amount of the pig body are balanced, if not, judging that the pig body has a digestive disease risk, implementing isolation measures on the pig body and sending digestive disease risk early warning information;
the second execution strategy provides toys and/or plays music for the pig body, observes whether the activity path of the pig body is recovered to be normal, judges that the pig body has an emotional disease risk if the activity path of the pig body is not recovered to be normal, performs isolation measures on the pig body and sends disease risk early warning information;
the third execution strategy is to execute the isolation measures on the pig bodies and send disease risk early warning information;
the first preset condition is that the comprehensive digestion index value D of the pig body is larger than the upper limit value of the preset normal comprehensive digestion value range, and the second preset condition is that the comprehensive digestion index value D of the pig body is smaller than the lower limit value of the preset normal comprehensive digestion value range.
Further, under the second liveness condition, the control platform determines whether the pig body is digested normally according to the comprehensive digestion index value D of the pig body, and controls the execution unit to take corresponding processing measures, including:
If D epsilon D0, the control platform judges that the pig body is normally digested and the quantity of exercise is insufficient, the control platform controls the execution unit to change the feeding mode of the pig body, and the feeding is changed into a plurality of scattered feeding point positions outside the pig house at the fixed feeding position of the pig house so as to improve the quantity of exercise of the pig body;
if the comprehensive digestion index value D of the pig body is larger than the upper limit value of the preset normal comprehensive digestion value range, the control platform judges that the diet movement of the pig body is unbalanced, the control platform controls the execution unit to change the feeding mode of the pig body, the feeding mode is changed into a plurality of scattered feeding point positions outside the pig house at the fixed feeding position of the pig house, and the pig feed is adjusted to be high-fiber feed;
if the comprehensive digestion index value D of the pig body is smaller than the lower limit value of the preset normal comprehensive digestion value range, the control platform judges that the digestion metabolism of the pig body is unbalanced, the control platform controls the execution unit to change the feeding mode of the pig body, the feeding mode is changed into a plurality of scattered feeding point positions outside the pig house at the fixed feeding position of the pig house, and the pig feed is changed into high-energy digestible feed;
the second liveness is that the activity path length of the pig body is smaller than a standard path length value.
Further, the multipoint feeding device comprises:
The fixed weighing feed boxes are respectively arranged on the ground connected to each wall in the pig house, and the feed boxes are adjacent to each other at fixed distances and are used for containing pig feed and detecting the feeding amount of pigs;
the automatic feeders are fixedly arranged on the wall bodies corresponding to the first height right above the weighing feed boxes, and the feeding outlets are connected with the fixed weighing feed boxes and used for feeding pig feed for a plurality of times at fixed time;
the feed conveying unit is used for conveying quantitative feed into each automatic feeder according to the instruction of the control platform;
the first height is a height which can not be reached by the pig body standing, and is set according to the pig body type.
Further, the data processing unit calculates the body weight of the pig according to the length and chest circumference of the pig acquired by the data acquisition unit, and the control platform predicts the growth stages of the pig according to the birth weight and the growth condition of the pig so as to adjust the feed types of the pig in different growth stages, preset the normal feed intake of the pig, and adjust the corresponding standard path length value range, and specifically comprises: the birth weight of a single pig body is preset as M0, the calculated value of the current pig body weight is M1,
If M1 is less than or equal to 2×M0, judging that the pig body is in a stage of a primary period, comparing the weight increment of the pig body in unit time with a first preset weight increment M2 at the stage by a control platform, determining whether the breast milk sucked by the pig body is sufficient or not, and under the insufficient condition, controlling an execution unit to provide supplementary food with corresponding quantity by the control platform according to the insufficient quantity;
if M1 is more than 2×M0 and less than or equal to 10×M0, judging that the pig body is in a stage of infant and young pig stage, and determining the required powdery feed amount to be matched with breast feeding according to comparison of the weight increment of the pig body in unit time and a second preset weight increment M3 in the stage by the control platform so as to promote the growth and development of the pig body in the stage;
if M1 is more than 10×M0 and less than or equal to 30×M0, judging that the pig body is in juvenile pig stage, and regulating the feed amount of the supplied coarse fodder and cereal by the control platform according to the weight increment of the pig body in unit time so as to provide sufficient energy and nutrient substances for pigs;
if 30 XM 0 is less than M1, judging that the pig body is in a fattening period stage, and regulating the amount of the high-energy and high-protein feed supplied by the control platform according to the weight increment of the pig body in unit time so as to promote accumulation of fat meat and improve the feed utilization rate.
On the other hand, the invention also provides a control method based on the digital twin pig farm remote control system, which comprises the following steps:
Step S1, inputting a fixed execution command and a judging and executing program into a control platform through an input unit, wherein the fixed execution command comprises ventilation instructions according to indoor and outdoor air quality in each period; a temperature adjustment command according to a temperature change in the room; a timing pig farm cleaning instruction, a timing feeding instruction of feed and drinking water according to the weight and the state of each pig body;
step S2, the control platform controls the execution unit to adjust the overall temperature and humidity of the pig farm according to the input content and the data acquired by the acquisition unit, feeds quantitative feed and drinking water at regular time and cleans the pig farm at regular time;
step S3, according to the sex of the pig bodies, installing radio frequency identification tags for recording the birth date or weight of each pig body on the left ear or the right ear of each pig body;
step S4, the control platform determines whether the sign of the pig body is stable or not according to comparison of the body temperature of the pig with a preset normal pig body temperature maximum value and a preset deviation absolute value of the body temperature average value of each pig, and if the sign of the pig body is stable, the step S5 is executed; if the body temperature of the pig body is unstable, the execution unit executes isolation measures on the pig body and sends sign exceeding warning information;
step S5, the control platform determines the activity degree of the pig body according to the path length of the pig body moving path in unit time, determines the comprehensive digestion index value of the pig body according to the feeding quantity and the defecation quantity of the pig body, and executes the step S6 when the activity path length of the pig body is not less than the lower limit value of the standard path length value range; when the length of the pig body moving path is smaller than the lower limit value of the standard path length value range, executing the step S7;
Step S6, the control platform determines the engraving degree of the pig body according to the repetition degree of the pig body movement path in unit time, compares the engraving degree of the pig body with the preset engraving degree, compares the comprehensive digestion index value of the pig body with the preset normal comprehensive digestion value range, determines whether the pig body state is normal or not, and controls the execution unit to take corresponding treatment measures under the first state judging condition;
step S7, the control platform determines whether the pig body is digested normally or not according to comparison of the comprehensive digestion index value D of the pig body and a preset normal comprehensive digestion value range D0, and controls the execution unit to take corresponding treatment measures;
step S8, the control platform calculates the weight of each pig body according to the length and the width of each pig body, predicts the growth period of the pig body according to the birth weight and the weight growth condition of the pig body, and adjusts the standard path length value, the feed amount and the feed type corresponding to the pig body;
the standard path length value range is set according to the growth stage and the weight of the pig body, and the first state condition is that the pig body is judged to be in a digestion abnormal state or is judged to be in an emotional anxiety state or is judged to be in a disease risk.
Compared with the prior art, the system has the beneficial effects that the system comprises the marking unit, the data acquisition unit, the data processing unit, the execution unit, the input unit, the display unit and the control platform, the control platform automatically adjusts the environmental parameters such as temperature, humidity, ventilation time and the like in the pig farm according to the data fed back by the data acquisition unit and the data processing unit, so that the comfort and stability of the growth environment of pigs are ensured, and the growth speed and the breeding benefit of the pigs are improved; the control platform determines whether the pig body is in a normal state according to the body temperature of the pig body, the feed intake, the defecation and the movement path indexes of the pig body, and controls the execution unit to take different corresponding treatment measures under each index condition in an abnormal state, so that the input of manpower is reduced, the execution efficiency is improved, the isolation speed of the pig body with the risk of illness is improved, and the risk of the rise of the mutual infection illness rate among the pig bodies is reduced; the control platform predicts the growth period of the pig body according to the birth weight and the weight growth condition of the pig body, adjusts the feed types and the weight of the pig body in different growth stages to meet the growth requirements of the pig in different growth stages, and enables the pig to reach the weight requirement of market demands in a shorter time, thereby increasing the economic benefit of farmers.
Further, the control platform provided by the invention determines whether the sign of the pig body is stable or not according to comparison between the body temperature of the pig body and the preset maximum value of the preset normal pig body and the preset absolute value of the average value of the body temperatures of all the pigs, and controls the execution unit to execute isolation measures on the pig body and send early warning information to specific equipment when the sign of the pig body is not stable, so that the isolation speed of the pig body with the risk of illness is improved, and the risk of the rise of the inter-infection illness rate of all the pig bodies is reduced.
Further, the control platform determines the activity degree of the pig body according to the path length of the pig body movement path in unit time, combines the food consumption and defecation indexes of the pig body, controls the execution unit to take different countermeasures to increase the movement quantity of the pig body, improve the digestion level of the pig body and the anxiety emotion of the pig body, improves the treatment efficiency of different conditions, is beneficial to improving the immunity and disease resistance of the pig, reduces the incidence and death rate of diseases, improves the immunity and disease resistance of the pig, and reduces the incidence and death rate of diseases.
Furthermore, the control platform predicts the growth stage of the pig body according to the birth weight and the weight growth condition of the pig body so as to change the feed types and weights of the pig body in different growth stages, so that feeds with different nutritional values are provided in the different growth stages of the pig body, the risks of overfeeding and insufficient nutrition of the pig body are reduced, the growth and development of the pig body are promoted, the quality and taste of the pork are improved, the utilization rate of the feeds is improved, the waste is reduced, and the breeding cost is reduced.
Drawings
FIG. 1 is a block diagram of a digital twin pig farm based remote control system of the present invention;
FIG. 2 is a flow chart of a control method of the present invention based on a digital twin pig farm remote control system;
FIG. 3 is a diagram of a feeding device in a digital twin pig farm based remote control system according to the present invention;
in the figure: 1, a wall; 2, an automatic feeder; 3, fixing a weighing feed box; and 4, the ground.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, the present invention provides a digital twin pig farm based remote control system, comprising:
the marking unit comprises a plurality of radio frequency identification tags for determining pig body information, is used for distinguishing each pig body, and records birth date information and birth weight information of the pig body bound with the radio frequency identification tags;
the data acquisition unit comprises a tag identifier which is arranged in the pig farm and used for identifying the marking unit, a first acquisition unit which is used for acquiring environmental data in the pig farm, a plurality of second acquisition units which are used for acquiring position data and physical sign data of each pig body, and a plurality of third acquisition units which are used for acquiring feeding and defecating data of the pig body;
The data processing unit is respectively connected with the marking unit and the data acquisition unit and is used for generating a pig body moving path according to the position data acquired by the second acquisition unit, calculating the repetition degree of the pig body moving path in unit time, generating an average value of each pig body according to the pig body temperature acquired by the second acquisition unit and calculating the comprehensive digestion index value of the pig body according to the pig body feeding data and the defecation data acquired by the third acquisition unit;
the execution unit is connected with the control platform and arranged in the pig farm and comprises a pig farm cleaning unit for adjusting the environmental parameters of the pig farm through ventilation, cleaning, heating and cooling, through the intelligent robot which runs on the track and is used for providing toys, feeding feeds with different types and different weights and drinking water to each pig house, the isolation device which is hung on the inner wall of the roof of the pig house and is used for isolating unstable pig bodies and the multipoint feeding device which is used for increasing the movement quantity of the pig bodies;
the input unit is connected with the control platform and used for inputting a fixed execution command and a modification command for modifying the fixed execution command, wherein the fixed execution command comprises a ventilation command, a temperature adjustment command, a cleaning command and a timing feeding command;
The control platform is respectively connected with the data acquisition unit, the data processing unit and the execution unit and is used for determining the activity degree of the pig body according to the path length of the pig body activity path in unit time, determining the engraving degree of the pig body according to the repetition degree of the pig body activity path in unit time under the condition of the first activity degree, determining whether the pig body is normally digested or not according to the comparison result of the comprehensive digestion index value of the pig body and the preset index calculated by the data processing unit, and predicting the growth period of the pig body and adjusting the corresponding standard path length values of different growth stages of the pig body according to the birth weight and the weight growth condition of the pig body;
the display unit is respectively connected with the data acquisition unit and the control platform and used for generating a digital twin model of each pig body activity of the pig farm according to the data acquired by the data acquisition unit and the operation executed by the control platform control execution unit;
the first liveness is that the length of a pig body moving path is not smaller than a standard path length value, and in specific implementation, the control platform is provided with different standard path length value ranges according to growth stages of different pig bodies.
Preferably, the first acquisition unit can include the intelligent hygrothermograph fixed on pig farm intermediate position wall body, the second acquisition unit can include the infrared sensor who is used for monitoring pig body real-time body temperature of installing in each pig farm rear top and including installing in pig farm roof summit department be used for monitoring the infrared camera of moving path of pig, the third acquisition unit can include the pig body measuring transducer that is used for measuring pig body length and chest circumference of installing in each pig farm rear top and place the weight sensor that is used for calculating each pig body and drinks down the condition under manger and trough, place the solid weight sensor that is used for measuring the excrement weight in the water drainage tank, purchase and install according to pig farm's scale of various acquisition device's model, quantity and mounted position.
The system comprises a marking unit, a data acquisition unit, a data processing unit, an execution unit, an input unit, a display unit and a control platform, wherein the control platform automatically adjusts environmental parameters such as temperature, humidity, ventilation time and the like in a pig farm according to data fed back by the data acquisition unit and the data processing unit, so that the comfort and stability of the growth environment of pigs are ensured, and the growth speed and the breeding benefit of the pigs are improved; the control platform determines whether the pig body is in a normal state according to the body temperature of the pig body, the feed intake, the defecation and the movement path indexes of the pig body, and controls the execution unit to take different corresponding treatment measures under each index condition in an abnormal state, so that the input of manpower is reduced, the execution efficiency is improved, the isolation speed of the pig body with the risk of illness is improved, and the risk of the rise of the mutual infection illness rate among the pig bodies is reduced; the control platform predicts the growth period of the pig body according to the birth weight and the weight growth condition of the pig body, adjusts the feed types and the weight of the pig body in different growth stages to meet the growth requirements of the pig in different growth stages, and enables the pig to reach the weight requirement of market demands in a shorter time, thereby increasing the economic benefit of farmers.
Specifically, the control platform determines whether the sign of the pig body is stable or not according to the highest value of the body temperature of the single pig body, the preset normal pig body temperature and the preset deviation absolute value of the body temperature average value of each pig body;
if the body temperature of the pig is not greater than the highest value of the preset normal body temperature of the pig and is smaller than the absolute value of the preset deviation of the average body temperature value of each pig, the control platform judges that the body sign of the pig is stable;
if the body temperature of the pig is greater than the highest value of the preset normal body temperature of the pig or greater than the absolute value of the preset deviation of the average body temperature of each pig, the control platform judges that the sign of the pig is unstable, and the control platform controls the execution unit to execute isolation measures on the pig and send sign exceeding early warning information;
the isolation measures are to physically separate the physical unstable pig body from other pig bodies so that body fluid of the physical unstable pig body does not escape out of a physical separation area;
in a specific implementation, the preset normal pig body maximum value is usually set to 39.5 ℃, and the preset deviation absolute value is set to 1 ℃.
According to the control platform provided by the invention, whether the sign of the pig body is stable or not is determined according to the comparison between the body temperature of the pig body and the preset maximum value of the preset normal pig body and the preset absolute value of the average value of the body temperatures of all the pigs, and when the sign of the pig body is unstable, the execution unit is controlled to execute isolation measures on the pig body and send early warning information to specific equipment, so that the isolation speed of the pig body with the risk of illness is improved, and the risk of the rise of the inter-infection disease rate of all the pig bodies is reduced.
Specifically, the isolation device used in the isolation measure includes:
the movable rail is arranged on the inner side of the roof of the pig farm, and is paved according to the positions of the pig farms so that the closed isolation box can automatically move to the position right above each pig farm;
the size of the closed isolation box is set according to the size of the pig house, the rollers of the closed isolation box are fixed in the moving track, the top of the box body of the closed isolation box is connected with the rollers through a telescopic rope, and the bottom of the box body is provided with a movable bottom plate capable of being controlled to open and close and used for isolating the unstable pig body with signs;
the closed ventilation unit comprises a ventilation device which is connected to the outside of the pig farm from the inside of the closed isolation box through the top of the isolation box, and an injection device which is arranged in the closed isolation box and used for injecting disinfectant and an ultraviolet lamp used for disinfection;
the sign monitoring assembly is arranged inside the closed isolation box and comprises a temperature sensor and a miniature camera head, and is used for monitoring the body temperature and the state condition of the pig body in the closed isolation box.
In the implementation, when the control platform judges that the sign of the pig body is unstable, the closed type isolation box is controlled to operate above the pig body and the pig house, after the box body is stable, the box body falls outside the pig house and surrounds the pig house at a constant speed through ropes arranged at four top points of the top of the isolation box, and the control platform controls to open a closed ventilation unit and a sign monitoring assembly in the isolation box so as to perform closed type disinfection monitoring on the isolation of the pig body and wait for further diagnosis of professionals.
Specifically, the control platform determines the activity degree of the single pig body according to the path length of the single pig body activity path in unit time under the first sign judging condition, the control platform compares the accumulated motion path length of the pig body with a standard path length value in a preset period,
if the accumulated movement path length in the preset period is not smaller than the standard path length value, judging that the amount of the pig body exercise reaches the standard and is in the first liveness;
if the accumulated movement path length in the preset period is smaller than the standard path length value, judging that the movement quantity of the pig body does not reach the standard, and judging that the pig is in the second activity;
and the first sign judging condition is that the control platform judges that the pig sign is stable.
In a specific implementation, the standard path length is set according to the growth stages of different pig bodies, and the method comprises the following steps: in the primary stage, since the pig body in the primary stage is positioned at the sow for most of the time, the amount of exercise is small, and the standard path length of the pig body can be set to about 10 meters or not; in the stage of the infant and young pig period, the standard path length of the pig body with the weight of less than 10 kg can be set to be 1-2 km, and the standard path length of the pig body with the weight of more than 10 kg can be set to be 2-3 km; in juvenile pig stage, the standard path length of pig body can be set to 3-5 km; in the fattening period, the standard path length of the pig body can be set to be 2-4 km. Preferably, the pig body is set to 0 in the primary stage; in the stage of the infant stage, when the weight is 10 kg or less, the standard path length is set to be 1.5 km, and when the weight is 10 kg or more, the standard path length is set to be 2.5 km; in the juvenile pig stage, the standard path length is set to be 4 km; in the fattening period, the standard path length is set to 3 km.
Specifically, the control platform determines the engraving degree of the pig body according to the repetition degree of the pig body movement path in unit time under the first liveness condition, wherein the engraving degree of the pig body movement pathDetermined by the following formula:
wherein the first activity degree is the repeatability of the pig body moving path in the current unit time, the length of the pig body moving path is not less than the standard path length value,
A1=,/>for measuring total length of accumulated motion path in single pig body measuring period, s1 is 1 st segment repeat path length, < >>For the number of repetitions of the 1 st repetition path length, k is the number of total repetition path sections,/>For the kth segment repetition path length, +.>Repeat times for the kth segment repeat path length; a0 is the average value of the repetitiveness of the historical activity path of the pig body.
Specifically, the control platform determines a comprehensive digestion index value of the individual pig body according to the feeding amount and the defecation amount of the individual pig body, wherein the comprehensive digestion index value D of the individual pig body is determined by the following formula:
D=
wherein E1 is the feed intake of the pig body, E0 is the normal feed intake of the preset pig body, the adjustment is carried out according to the weight change of the pig body, L1 is the defecation amount of the pig body, and L0 is the normal defecation amount of the preset pig body.
In the specific implementation, E0 is set and adjusted according to the weight of the pig body in each growth stage, and the normal feed intake of the pig body is set to be 200 ml-400 ml when the pig body is in the primary stage; in the stage of the infant and young pig period, the normal feed intake of the preset pig body is set to be 3% -4% of the weight of the pig body; in the juvenile pig stage, the normal feed intake of the preset pig body is set to be 2% -3% of the weight of the pig body; in the fattening period, the normal feed intake of the preset pig body is set to be 1.5-2% of the weight of the pig body. Preferably, the normal feed intake of the pig body is set to be 3% of the weight of the pig body in the stage of the infant stage; in the juvenile pig stage, the normal feed intake of the preset pig body is set to be 2.5% of the weight of the pig body; in the fattening period, the normal feed intake of the preset pig body is set to be 1.5% of the weight of the pig body.
L0 is set and adjusted according to the feeding amount of the pig body in each growth stage, and the defecation amount is relatively small when the pig body is in the primary stage, so long as the defecation behavior of the pig body is detected; in the stage of the infant and young pig period, the normal defecation amount of the preset pig body is set to be 10-15% of the preset normal feed intake amount of the pig body; in the juvenile pig stage, the normal defecation amount of the preset pig body is set to be 8-10% of the preset normal feed intake amount of the pig body; in the fattening period, the normal defecation amount of the preset pig body is set to be 6-8% of the preset normal feed intake amount of the pig body. Preferably, the normal defecation amount of the pig body is set to be 12% of the preset normal feed amount of the pig body in the stage of the infant and young pig period; in the juvenile pig stage, the normal defecation amount of the preset pig body is set to be 9% of the preset normal feed amount of the pig body; in the fattening period, the normal defecation amount of the preset pig body is set to be 7% of the preset normal feed intake amount of the pig body.
Specifically, the control platform is used for controlling the control platform according to the engraving degree of the pig body under the first liveness conditionAnd the preset notch level->0, comparing the comprehensive digestion index value D of the pig body with a preset normal comprehensive digestion value range D0, determining whether the state of the pig body is normal, and controlling the execution unit to take corresponding treatment measures by the control platform under the first state judgment condition, wherein the method comprises the following steps:
If it is0 and D is D0, the control platform judges that the pig body is in a normal state, and no measures are taken for the pig body;
if it is0 and D->D0, the control platform judges that the pig body is in a digestion abnormal state, and the control platform controls the execution unit to adopt a first execution strategy;
if it is0 and D epsilon D0, the control platform judges that the pig body is in an emotional anxiety state, and the control platform controls the execution unit to adopt a second execution strategy;
if it is0 and D->D0, judging that the pig body has a disease risk, and controlling the execution unit to adopt a third execution strategy by the control platform;
the first state judging condition is that the pig body is judged to be in a digestion abnormal state or the pig body is judged to be in an emotional anxiety state or the pig body is judged to have a disease risk;
the first execution strategy is to reduce the feeding amount of the pig body and change the pig feed into digestible feed under a first preset condition; stopping feeding the feed to the pig body under a second preset condition, only providing drinking water on time, observing whether the feeding amount and the defecation amount of the pig body are balanced, if not, judging that the pig body has a digestive disease risk, implementing isolation measures on the pig body and sending digestive disease risk early warning information;
The second execution strategy provides toys and/or plays music for the pig body, observes whether the activity path of the pig body is recovered to be normal, judges that the pig body has an emotional disease risk if the activity path of the pig body is not recovered to be normal, performs isolation measures on the pig body and sends disease risk early warning information;
the third execution strategy is to execute the isolation measures on the pig bodies and send disease risk early warning information;
the first preset condition is that the comprehensive digestion index value D of the pig body is larger than the upper limit value of the preset normal comprehensive digestion value range, and the second preset condition is that the comprehensive digestion index value D of the pig body is smaller than the lower limit value of the preset normal comprehensive digestion value range.
The preset engraving degree0 is according to the size of the activity region of the pig body [1.5,4 ]]Setting in a range, wherein in a specific implementation, the larger the pig body activity field is, the smaller the value is set; the preset normal comprehensive digestion value range D0 is set according to the average feeding and defecation amount of each pig body in the pig farm, and is preferably set to [0.8,1.3 ]]。
The control platform determines the activity degree of the pig body according to the path length of the pig body movement path in unit time, combines the food intake and defecation indexes of the pig body, controls the execution unit to take different countermeasures to increase the movement quantity of the pig body, improve the digestion level of the pig body and the anxiety emotion of the pig body, improves the treatment efficiency of different conditions, is beneficial to improving the immunity and disease resistance of the pig, reduces the incidence and death rate of diseases, improves the immunity and disease resistance of the pig, and reduces the incidence and death rate of diseases.
Specifically, under the second liveness condition, the control platform determines whether the pig body is digested normally according to the comprehensive digestion index value D of the pig body, and controls the execution unit to take corresponding processing measures, including:
if D epsilon D0, the control platform judges that the pig body is normally digested and the quantity of exercise is insufficient, the control platform controls the execution unit to change the feeding mode of the pig body, and the feeding is changed into a plurality of scattered feeding point positions outside the pig house at the fixed feeding position of the pig house so as to improve the quantity of exercise of the pig body;
if the comprehensive digestion index value D of the pig body is larger than the upper limit value of the preset normal comprehensive digestion value range, the control platform judges that the diet movement of the pig body is unbalanced, the control platform controls the execution unit to change the feeding mode of the pig body, the feeding mode is changed into a plurality of scattered feeding point positions outside the pig house at the fixed feeding position of the pig house, and the pig feed is adjusted to be high-fiber feed;
if the comprehensive digestion index value D of the pig body is smaller than the lower limit value of the preset normal comprehensive digestion value range, the control platform judges that the digestion metabolism of the pig body is unbalanced, the control platform controls the execution unit to change the feeding mode of the pig body, the feeding mode is changed into a plurality of scattered feeding point positions outside the pig house at the fixed feeding position of the pig house, and the pig feed is changed into high-energy digestible feed;
The second liveness is that the activity path length of the pig body is smaller than a standard path length value.
Referring to fig. 3, the multi-point feeding device includes:
a plurality of fixed weighing feed boxes 3 which are respectively arranged on the ground 4 connected to each wall 1 in the pig house, and the feed boxes are adjacent to each other at fixed distances and are used for containing pig feed and detecting the feeding quantity of pigs;
the automatic feeders 2 are fixedly arranged on the wall bodies corresponding to the first height above the weighing feed boxes, and the feeding outlets are connected with the fixed weighing feed boxes and are used for feeding pig feed for a plurality of times at fixed time;
a feed conveying unit (not shown) for conveying quantitative feed into each automatic feeder according to the instruction of the control platform, wherein the intelligent robot can be adopted according to the need;
the first height is a height which can not be reached by the pig body standing, and is set according to the pig body type.
In specific implementation, when the accumulated motion path length of the pig body is smaller than the standard path length value and the pig body is in the second activity, the control platform is used for controlling the feed conveying unit to convey corresponding amounts of different types of feeds into each automatic feeder according to the comparison of the comprehensive digestion index value of the pig body and the preset normal comprehensive digestion value range, the control platform is used for determining the quantity of motion of the pig body to be increased according to the accumulated motion path length of the pig body so as to determine the feeding times of the automatic feeders, each feeder is used for throwing the feeds into the corresponding fixed weighing feed boxes for multiple times according to the control instruction of the control platform, and then the control platform is used for controlling the pig body pigsty door to be opened, so that the pig body can eat the feeds in each fixed weighing feed box in a reciprocating manner.
Specifically, the data processing unit calculates the body weight of the pig according to the length and chest circumference of the pig acquired by the data acquisition unit, and the control platform predicts the growth stages of the pig according to the birth weight and the growth condition of the pig so as to adjust the feed types of the pig in different growth stages, preset the normal feed intake of the pig, and adjust the corresponding standard path length value range, and specifically comprises the following steps: the birth weight of a single pig body is preset as M0, the calculated value of the current pig body weight is M1,
if M1 is less than or equal to 2×M0, judging that the pig body is in a stage of a primary period, comparing the weight increment of the pig body in unit time with a first preset weight increment M2 at the stage by a control platform, determining whether the breast milk sucked by the pig body is sufficient or not, and under the insufficient condition, controlling an execution unit to provide supplementary food with corresponding quantity by the control platform according to the insufficient quantity;
if M1 is more than 2×M0 and less than or equal to 10×M0, judging that the pig body is in a stage of infant and young pig stage, and determining the required powdery feed amount to be matched with breast feeding according to comparison of the weight increment of the pig body in unit time and a second preset weight increment M3 in the stage by the control platform so as to promote the growth and development of the pig body in the stage;
If M1 is more than 10×M0 and less than or equal to 30×M0, judging that the pig body is in juvenile pig stage, and regulating the feed amount of the supplied coarse fodder and cereal by the control platform according to the weight increment of the pig body in unit time so as to provide sufficient energy and nutrient substances for pigs;
if 30 XM 0 is less than M1, judging that the pig body is in a fattening period stage, and regulating the amount of the high-energy and high-protein feed supplied by the control platform according to the weight increment of the pig body in unit time so as to promote accumulation of fat meat and improve the feed utilization rate.
In the invention, values of 2×m0, 10×m0 and 30×m0 are obtained according to the existing literature and experience, and corresponding to the pig growth stage, the settings of the first preset weight gain M2 and the second preset weight gain M3 can be calculated according to the corresponding pig type and historical growth data, and preferably, the historical average value of the weight gain of each pig in the pig farm is obtained.
According to the birth weight and weight growth condition of the pig body, the control platform predicts the growth stage of the pig body so as to change the feed types and weights of the pig body in different growth stages, so that feeds with different nutritional values are provided in the different growth stages of the pig body, the risks of overfeeding and insufficient nutrition of the pig body are reduced, the growth and development of the pig body are promoted, the quality and taste of pork are improved, the utilization rate of the feeds is improved, the waste is reduced, and the cultivation cost is reduced.
The adjustment method of the standard path length value range is described in the foregoing, and will not be described herein.
Referring to fig. 2, a flowchart of a control method based on a digital twin pig farm remote control system according to the present invention includes:
step S1, inputting a fixed execution command and a judging and executing program into a control platform through an input unit, wherein the fixed execution command comprises ventilation instructions according to indoor and outdoor air quality in each period; a temperature adjustment command according to a temperature change in the room; a timing pig farm cleaning instruction, a timing feeding instruction of feed and drinking water according to the weight and the state of each pig body;
step S2, the control platform controls the execution unit to adjust the overall temperature and humidity of the pig farm according to the input content and the data acquired by the acquisition unit, feeds quantitative feed and drinking water at regular time and cleans the pig farm at regular time;
step S3, according to the sex of the pig bodies, installing radio frequency identification tags for recording the birth date or weight of each pig body on the left ear or the right ear of each pig body;
step S4, the control platform determines whether the sign of the pig body is stable or not according to comparison of the body temperature of the pig with a preset normal pig body temperature maximum value and a preset deviation absolute value of the body temperature average value of each pig, and if the sign of the pig body is stable, the step S5 is executed; if the body temperature of the pig body is unstable, the execution unit executes isolation measures on the pig body and sends sign exceeding warning information;
Step S5, the control platform determines the activity degree of the pig body according to the path length of the pig body moving path in unit time, determines the comprehensive digestion index value of the pig body according to the feeding quantity and the defecation quantity of the pig body, and executes the step S6 when the activity path length of the pig body is not less than the lower limit value of the standard path length value range; when the length of the pig body moving path is smaller than the lower limit value of the standard path length value range, executing the step S7;
step S6, the control platform determines the engraving degree of the pig body according to the repetition degree of the pig body movement path in unit time, compares the engraving degree of the pig body with the preset engraving degree, compares the comprehensive digestion index value of the pig body with the preset normal comprehensive digestion value range, determines whether the pig body state is normal or not, and controls the execution unit to take corresponding treatment measures under the first state judging condition;
step S7, the control platform determines whether the pig body is digested normally or not according to comparison of the comprehensive digestion index value D of the pig body and a preset normal comprehensive digestion value range D0, and controls the execution unit to take corresponding treatment measures;
step S8, the control platform calculates the weight of each pig body according to the length and the width of each pig body, predicts the growth period of the pig body according to the birth weight and the weight growth condition of the pig body, and adjusts the standard path length value, the feed amount and the feed type corresponding to the pig body;
The standard path length value range is set according to the growth stage and the weight of the pig body, and the first state condition is that the pig body is judged to be in a digestion abnormal state or is judged to be in an emotional anxiety state or is judged to be in a disease risk.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A digital twin pig farm based remote control system, comprising:
The marking unit comprises a plurality of radio frequency identification tags for determining pig body information, is used for distinguishing each pig body, and records birth date information and birth weight information of the pig body bound with the radio frequency identification tags;
the data acquisition unit comprises a tag identifier which is arranged in the pig farm and used for identifying the marking unit, a first acquisition unit which is used for acquiring environmental data in the pig farm, a plurality of second acquisition units which are used for acquiring position data and physical sign data of each pig body, and a plurality of third acquisition units which are used for acquiring feeding and defecating data of the pig body;
the data processing unit is respectively connected with the marking unit and the data acquisition unit and is used for generating a pig body moving path according to the position data acquired by the second acquisition unit, calculating the repetition degree of the pig body moving path in unit time, generating an average value of each pig body according to the pig body temperature acquired by the second acquisition unit and calculating the comprehensive digestion index value of the pig body according to the pig body feeding data and the defecation data acquired by the third acquisition unit;
the execution unit is connected with the control platform and arranged in the pig farm and comprises a pig farm cleaning unit for adjusting the environmental parameters of the pig farm through ventilation, cleaning, heating and cooling, through the intelligent robot which runs on the track and is used for providing toys, feeding feeds with different types and different weights and drinking water to each pig house, the isolation device which is hung on the inner wall of the roof of the pig house and is used for isolating unstable pig bodies and the multipoint feeding device which is used for increasing the movement quantity of the pig bodies;
The input unit is connected with the control platform and used for inputting a fixed execution command and a modification command for modifying the fixed execution command, wherein the fixed execution command comprises a ventilation command, a temperature adjustment command, a cleaning command and a timing feeding command;
the control platform is respectively connected with the data acquisition unit, the data processing unit and the execution unit and is used for determining the activity degree of the pig body according to the path length of the pig body activity path in unit time, determining the engraving degree of the pig body according to the repetition degree of the pig body activity path in unit time under the condition of the first activity degree, determining whether the pig body is normally digested or not according to the comparison result of the comprehensive digestion index value of the pig body and the preset index calculated by the data processing unit, and predicting the growth period of the pig body and adjusting the corresponding standard path length values of different growth stages of the pig body according to the birth weight and the weight growth condition of the pig body;
the display unit is respectively connected with the data acquisition unit and the control platform and used for generating a digital twin model of each pig body activity of the pig farm according to the data acquired by the data acquisition unit and the operation executed by the control platform control execution unit;
The first liveness is that the length of a pig body moving path is not smaller than a standard path length value;
the control platform determines the activity degree of the single pig body according to the path length of the single pig body activity path in unit time under the first sign judging condition, the control platform compares the accumulated motion path length of the pig body with a standard path length value in a preset period,
if the accumulated movement path length in the preset period is not smaller than the standard path length value, judging that the amount of the pig body exercise reaches the standard and is in the first liveness;
if the accumulated movement path length in the preset period is smaller than the standard path length value, judging that the movement quantity of the pig body does not reach the standard, and judging that the pig body is in the second activity;
wherein the first sign judging condition is that the control platform judges that the pig sign is stable;
under the first liveness condition, the control platform determines the engraving degree of the pig body according to the repetition degree of the pig body moving path in unit time, wherein the engraving degree of the pig body moving pathDetermined by the following formula:
wherein the first activity degree is the repeatability of the pig body moving path in the current unit time, the length of the pig body moving path is not less than the standard path length value,
A1=,/>For measuring total length of accumulated motion path in single pig body periodS1 is the 1 st segment repetition path length, < >>The number of repetitions for the 1 st repetition path length, k being the number of total repetition path segments,for the kth segment repetition path length, +.>Repeat times for the kth segment repeat path length; a0 is the average value of the repetitiveness of the historical activity path of the pig body;
wherein, the standard path length value range is set according to the growth stage and the weight of the pig body;
the control platform determines the comprehensive digestion index value of the individual pig body according to the feeding amount and the defecation amount of the individual pig body, wherein the comprehensive digestion index value D of the individual pig body is determined by the following formula:
D=
wherein E1 is the feed intake of the pig body, E0 is the normal feed intake of the preset pig body, the adjustment is carried out according to the weight change of the pig body, L1 is the defecation amount of the pig body, and L0 is the normal defecation amount of the preset pig body;
the control platform is used for controlling the control platform to control the pig body according to the engraving degree of the pig body under the first liveness conditionAnd the preset notch level->0, comparing the comprehensive digestion index value D of the pig body with a preset normal comprehensive digestion value range D0, determining whether the state of the pig body is normal, and controlling the execution unit to take corresponding treatment measures by the control platform under the first state judgment condition, wherein the method comprises the following steps:
If it is0 and D epsilon D0, and judging that the pig body is in a normal state by the control platform;
if it is0 and D->D0, the control platform judges that the pig body is in a digestion abnormal state, and the control platform controls the execution unit to adopt a first execution strategy;
if it is0 and D epsilon D0, the control platform judges that the pig body is in an emotional anxiety state, and the control platform controls the execution unit to adopt a second execution strategy;
if it is0 and D->D0, judging that the pig body has a disease risk, and controlling the execution unit to adopt a third execution strategy by the control platform;
the first state judging condition is that the pig body is judged to be in a digestion abnormal state or the pig body is judged to be in an emotional anxiety state or the pig body is judged to have a disease risk;
under the second liveness condition, the control platform judges whether the pig body is digested normally according to the comprehensive digestion index value D of the pig body, and controls the execution unit to take corresponding treatment measures, and the method comprises the following steps:
if D epsilon D0, the control platform judges that the pig body is normally digested and the quantity of exercise is insufficient, the control platform controls the execution unit to change the feeding mode of the pig body, and the feeding is changed into a plurality of scattered feeding point positions outside the pig house at the fixed feeding position of the pig house so as to improve the quantity of exercise of the pig body;
If the comprehensive digestion index value D of the pig body is larger than the upper limit value of the preset normal comprehensive digestion value range, the control platform judges that the diet movement of the pig body is unbalanced, the control platform controls the execution unit to change the feeding mode of the pig body, the feeding mode is changed into a plurality of scattered feeding point positions outside the pig house at the fixed feeding position of the pig house, and the pig feed is adjusted to be high-fiber feed;
if the comprehensive digestion index value D of the pig body is smaller than the lower limit value of the preset normal comprehensive digestion value range, the control platform judges that the digestion metabolism of the pig body is unbalanced, the control platform controls the execution unit to change the feeding mode of the pig body, the feeding mode is changed into a plurality of scattered feeding point positions outside the pig house at the fixed feeding position of the pig house, and the pig feed is changed into high-energy digestible feed;
the second liveness is that the activity path length of the pig body is smaller than a standard path length value.
2. The digital twin pig farm based remote control system according to claim 1, wherein the control platform determines whether the sign of the pig body is stable according to the absolute value of the preset deviation of the body temperature of the individual pig from the preset normal pig body temperature maximum value and the average body temperature value of each pig, comprising;
If the body temperature of the pig is not greater than the highest value of the preset normal body temperature of the pig and is smaller than the absolute value of the preset deviation of the average body temperature value of each pig, the control platform judges that the body sign of the pig is stable;
if the body temperature of the pig is greater than the highest value of the preset normal body temperature of the pig or greater than the absolute value of the preset deviation of the average body temperature of each pig, the control platform judges that the sign of the pig is unstable, and the control platform controls the execution unit to execute isolation measures on the pig and send sign exceeding early warning information;
the isolation measures are to physically separate the physical unstable pig body from other pig bodies so that body fluid of the physical unstable pig body cannot escape out of the physical separation area.
3. The digital twin pig farm based remote control system according to claim 2, wherein the isolation means used in the isolation means comprises:
the movable rail is arranged on the inner side of the roof of the pig farm, and is paved according to the positions of the pig farms so that the closed isolation box can automatically move to the position right above each pig farm;
the size of the closed isolation box is set according to the size of the pig house, the rollers of the closed isolation box are fixed in the moving track, the top of the box body of the closed isolation box is connected with the rollers through a telescopic rope, and the bottom of the box body is provided with a movable bottom plate capable of being controlled to open and close and used for isolating the unstable pig body with signs;
The closed ventilation unit comprises a ventilation device which is connected to the outside of the pig farm from the inside of the closed isolation box through the top of the isolation box, and an injection device which is arranged in the closed isolation box and used for injecting disinfectant and an ultraviolet lamp used for disinfection;
the sign monitoring assembly is arranged inside the closed isolation box and comprises a temperature sensor and a miniature camera head, and is used for monitoring the body temperature and the state condition of the pig body in the closed isolation box.
4. The digital twin pig farm based remote control system according to claim 3, wherein,
the first execution strategy is to reduce the feeding amount of the pig body and change the pig feed into digestible feed under a first preset condition; stopping feeding the feed to the pig body under a second preset condition, only providing drinking water on time, observing whether the feeding amount and the defecation amount of the pig body are balanced, if not, judging that the pig body has a digestive disease risk, implementing isolation measures on the pig body and sending digestive disease risk early warning information;
the second execution strategy provides toys and/or plays music for the pig body, observes whether the activity path of the pig body is recovered to be normal, judges that the pig body has an emotional disease risk if the activity path of the pig body is not recovered to be normal, performs isolation measures on the pig body and sends disease risk early warning information;
The third execution strategy is to execute the isolation measures on the pig bodies and send disease risk early warning information;
the first preset condition is that the comprehensive digestion index value D of the pig body is larger than the upper limit value of the preset normal comprehensive digestion value range, and the second preset condition is that the comprehensive digestion index value D of the pig body is smaller than the lower limit value of the preset normal comprehensive digestion value range.
5. The digital twin pig farm based remote control system according to claim 4, wherein the multi-point feeding apparatus comprises:
the fixed weighing feed boxes are respectively arranged on the ground connected to each wall in the pig house, and the feed boxes are adjacent to each other at fixed distances and are used for containing pig feed and detecting the feeding amount of pigs;
the automatic feeders are fixedly arranged on the wall bodies corresponding to the first height right above the weighing feed boxes, and the feeding outlets are connected with the fixed weighing feed boxes and used for feeding pig feed for a plurality of times at fixed time;
the feed conveying unit is used for conveying quantitative feed into each automatic feeder according to the instruction of the control platform;
the first height is a height which can not be reached by the pig body standing, and is set according to the pig body type.
6. The digital twin pig farm remote control system according to claim 5, wherein the data processing unit calculates the body weight of the pig according to the body length and the chest circumference of the pig collected by the data collecting unit, and the control platform predicts the growth stage of the pig according to the body weight and the body weight growth condition, and adjusts the corresponding standard path length value range, specifically comprising: the birth weight of a single pig body is preset as M0, the calculated value of the current pig body weight is M1,
if M1 is less than or equal to 2 xM 0, judging that the pig body is in the stage of the primary period;
if M1 is more than 2×M0 and less than or equal to 10×M0, judging that the pig body is in the stage of infant and young pig stage;
if M1 is more than 10×M0 and less than or equal to 30×M0, judging that the pig body is in juvenile pig stage;
if 30 XM 0 is less than M1, the pig body is judged to be in the fattening stage.
7. A control method applied to the digital twin pig farm based remote control system according to any of claims 1-6, comprising:
step S1, inputting a fixed execution command and a judging and executing program into a control platform through an input unit, wherein the fixed execution command comprises ventilation instructions according to indoor and outdoor air quality in each period; a temperature adjustment command according to a temperature change in the room; a timing pig farm cleaning instruction, a timing feeding instruction of feed and drinking water according to the weight and the state of each pig body;
Step S2, the control platform controls the execution unit to adjust the overall temperature and humidity of the pig farm according to the input content and the data acquired by the acquisition unit, feeds quantitative feed and drinking water at regular time and cleans the pig farm at regular time;
step S3, according to the sex of the pig bodies, installing radio frequency identification tags for recording the birth date or weight of each pig body on the left ear or the right ear of each pig body;
step S4, the control platform determines whether the sign of the pig body is stable or not according to comparison of the body temperature of the pig with a preset normal pig body temperature maximum value and a preset deviation absolute value of the body temperature average value of each pig, and if the sign of the pig body is stable, the step S5 is executed; if the body temperature of the pig body is unstable, the execution unit executes isolation measures on the pig body and sends sign exceeding warning information;
step S5, the control platform determines the activity degree of the pig body according to the path length of the pig body moving path in unit time, determines the comprehensive digestion index value of the pig body according to the feeding quantity and the defecation quantity of the pig body, and executes the step S6 when the activity path length of the pig body is not less than the lower limit value of the standard path length value range; when the length of the pig body moving path is smaller than the lower limit value of the standard path length value range, executing the step S7;
step S6, the control platform determines the engraving degree of the pig body according to the repetition degree of the pig body movement path in unit time, compares the engraving degree of the pig body with the preset engraving degree, compares the comprehensive digestion index value of the pig body with the preset normal comprehensive digestion value range, determines whether the pig body state is normal or not, and controls the execution unit to take corresponding treatment measures under the first state judging condition;
Step S7, the control platform determines whether the pig body is digested normally or not according to comparison of the comprehensive digestion index value D of the pig body and a preset normal comprehensive digestion value range D0, and controls the execution unit to take corresponding treatment measures;
step S8, the control platform calculates the weight of each pig body according to the length and the width of each pig body, predicts the growth period of the pig body according to the birth weight and the weight growth condition of the pig body, and adjusts the standard path length value, the feed amount and the feed type corresponding to the pig body;
the standard path length value range is set according to the growth stage and the weight of the pig body, and the first state judgment condition is that the pig body is judged to be in a digestion abnormal state or in an emotional anxiety state or the pig body is judged to be at risk of illness.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104008367A (en) * | 2014-05-08 | 2014-08-27 | 中国农业大学 | Automatic fattening pig behavior analyzing system and method based on computer vision |
KR101445698B1 (en) * | 2013-03-27 | 2014-10-06 | 한국로봇융합연구원 | Real Time Auto Medical Examination Method and Domestic Animal Auto Care System thereof |
CN105191821A (en) * | 2015-09-30 | 2015-12-30 | 杭州慧牧科技有限公司 | Intelligent raising station for growing and fattening pigs |
CN110149297A (en) * | 2018-02-12 | 2019-08-20 | 北京数安鑫云信息技术有限公司 | A kind of path analysis method and apparatus |
CN113598081A (en) * | 2021-08-19 | 2021-11-05 | 安徽大学 | Beef cattle health automatic monitoring system |
CN114287357A (en) * | 2021-12-31 | 2022-04-08 | 双胞胎(集团)股份有限公司 | Intelligent live pig breeding service platform |
CN218245004U (en) * | 2022-05-13 | 2023-01-10 | 云南农业大学 | Isolation fence for mutton sheep breeding |
CN218389322U (en) * | 2022-08-23 | 2023-01-31 | 许永滨 | Chicken is with device of growing seedlings |
CN115758240A (en) * | 2022-11-07 | 2023-03-07 | 深圳开鸿数字产业发展有限公司 | Livestock health state intelligent classification method, device, equipment and storage medium |
-
2023
- 2023-05-15 CN CN202310539821.1A patent/CN116257102B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101445698B1 (en) * | 2013-03-27 | 2014-10-06 | 한국로봇융합연구원 | Real Time Auto Medical Examination Method and Domestic Animal Auto Care System thereof |
CN104008367A (en) * | 2014-05-08 | 2014-08-27 | 中国农业大学 | Automatic fattening pig behavior analyzing system and method based on computer vision |
CN105191821A (en) * | 2015-09-30 | 2015-12-30 | 杭州慧牧科技有限公司 | Intelligent raising station for growing and fattening pigs |
CN110149297A (en) * | 2018-02-12 | 2019-08-20 | 北京数安鑫云信息技术有限公司 | A kind of path analysis method and apparatus |
CN113598081A (en) * | 2021-08-19 | 2021-11-05 | 安徽大学 | Beef cattle health automatic monitoring system |
CN114287357A (en) * | 2021-12-31 | 2022-04-08 | 双胞胎(集团)股份有限公司 | Intelligent live pig breeding service platform |
CN218245004U (en) * | 2022-05-13 | 2023-01-10 | 云南农业大学 | Isolation fence for mutton sheep breeding |
CN218389322U (en) * | 2022-08-23 | 2023-01-31 | 许永滨 | Chicken is with device of growing seedlings |
CN115758240A (en) * | 2022-11-07 | 2023-03-07 | 深圳开鸿数字产业发展有限公司 | Livestock health state intelligent classification method, device, equipment and storage medium |
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