CN116700036B - Intelligent linkage monitoring management system for intelligent kitchen multiple devices - Google Patents
Intelligent linkage monitoring management system for intelligent kitchen multiple devices Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 77
- 238000010411 cooking Methods 0.000 claims abstract description 208
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- 238000000034 method Methods 0.000 claims abstract description 14
- 230000008569 process Effects 0.000 claims abstract description 9
- 235000021186 dishes Nutrition 0.000 claims description 56
- 235000015097 nutrients Nutrition 0.000 claims description 29
- 239000004615 ingredient Substances 0.000 claims description 26
- 238000012545 processing Methods 0.000 claims description 22
- 235000016709 nutrition Nutrition 0.000 claims description 18
- 230000035764 nutrition Effects 0.000 claims description 15
- 238000004458 analytical method Methods 0.000 claims description 13
- 230000002354 daily effect Effects 0.000 claims description 11
- 230000003203 everyday effect Effects 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 5
- 235000007164 Oryza sativa Nutrition 0.000 claims description 3
- 230000006399 behavior Effects 0.000 claims description 3
- 230000030279 gene silencing Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 235000009566 rice Nutrition 0.000 claims description 3
- 241000209094 Oryza Species 0.000 claims 2
- 238000001514 detection method Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 20
- 238000005516 engineering process Methods 0.000 description 5
- 238000004140 cleaning Methods 0.000 description 3
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- 150000001720 carbohydrates Chemical class 0.000 description 2
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- 239000003925 fat Substances 0.000 description 2
- 102000004169 proteins and genes Human genes 0.000 description 2
- 108090000623 proteins and genes Proteins 0.000 description 2
- 235000013555 soy sauce Nutrition 0.000 description 2
- 235000013311 vegetables Nutrition 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 240000007594 Oryza sativa Species 0.000 description 1
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
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- 238000004422 calculation algorithm Methods 0.000 description 1
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- LPUQAYUQRXPFSQ-DFWYDOINSA-M monosodium L-glutamate Chemical compound [Na+].[O-]C(=O)[C@@H](N)CCC(O)=O LPUQAYUQRXPFSQ-DFWYDOINSA-M 0.000 description 1
- 235000013923 monosodium glutamate Nutrition 0.000 description 1
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- 235000002639 sodium chloride Nutrition 0.000 description 1
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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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 discloses an intelligent linkage monitoring management system for multiple intelligent kitchen devices, and belongs to the technical field of intelligent kitchens; by carrying out automatic control of cooking temperature and dynamic prompt and management of different operations in a self-adaptive manner on real-time cooking of different food materials, and simultaneously carrying out supervision and prompt on operation coordination among different devices, the overall effect of operation supervision of different devices in a kitchen, the safety effect and the resource utilization effect of cooking can be effectively improved, the operation of different devices in the cooking process is dynamically supervised through food material data counted by early monitoring, the food material data are expanded and excavated in the later stage to dynamically suggest and prompt the selection of the food materials for subsequent daily cooking, and the usability and the expansibility of intelligent linkage monitoring management of the kitchen multi-device are improved; the method and the device are used for solving the technical problems that in the existing scheme, the operation of different equipment cannot be dynamically controlled, and the cooking effect and the resource utilization effect are poor due to monitoring prompt.
Description
Technical Field
The invention relates to the technical field of intelligent kitchens, in particular to an intelligent linkage monitoring management system for multiple devices of an intelligent kitchen.
Background
The intelligent kitchen is a novel life style, and various technologies are applied to kitchen life, such as artificial intelligence, internet of things, big data and the like; the core lies in the application of information technology, realizes intelligent control and management through networking, so as to realize more personalized and intelligent service.
Most of the existing intelligent kitchen multi-equipment linkage monitoring schemes stay on single data monitoring statistics and display alarm or monitor alarm after abnormality is found, monitoring analysis and self-adaptive dynamic management and control and prompt cannot be implemented on the whole process of cooking food materials, and operation of different equipment cannot be dynamically managed and controlled, so that poor cooking effect and poor resource utilization effect are caused by monitoring and prompt.
Disclosure of Invention
The invention aims to provide an intelligent linkage monitoring management system for intelligent kitchen multi-equipment, which is used for solving the technical problems that the operation of different equipment cannot be dynamically controlled and the monitoring prompt causes poor cooking effect and poor resource utilization effect in the existing scheme.
The aim of the invention can be achieved by the following technical scheme:
the intelligent linkage monitoring management system comprises a kitchen processing state monitoring and identifying module, a linkage monitoring platform and a control platform, wherein the kitchen processing state monitoring and identifying module is used for monitoring and identifying different food materials in a kitchen processing area, acquiring dishes to be processed corresponding to the food materials according to an identifying result and uploading the dishes to the linkage monitoring platform;
the kitchen cooking state monitoring management module is used for receiving dishes to be processed forwarded by the linkage monitoring platform, and dynamically controlling and prompting different food materials in a cooking area according to the dishes to be processed; comprising the following steps:
generating a monitoring instruction when the cooking equipment starts to run, and performing image recognition on food materials which are started to be cooked by the cooking equipment according to the monitoring instruction by using the camera equipment of the cooking area, so as to obtain corresponding individual dishes, and obtaining corresponding cooking operation data according to names of the food materials in the individual dishes, wherein the cooking operation data comprises cooking time, flame temperatures and cooking behaviors corresponding to different times and placement time and placement amounts corresponding to different ingredients;
the flame temperature of the cooking equipment is controlled in real time according to the flame temperatures corresponding to different times in the cooking operation data, and different ingredients are prompted to be placed through voice at different placing times;
monitoring and evaluating actions of cooking staff in the cooking process, dynamically controlling operation of cooking equipment when the cooking staff leaves a kitchen and a cooking area works, and synchronously prompting messages to mobile equipment of a manager;
meanwhile, the starting and running of the cooking equipment are monitored and dynamically prompted according to the cooking time length in the cooking operation data corresponding to different food materials.
Preferably, the working steps of the kitchen processing state monitoring and identifying module include:
image recognition is carried out on the food to be processed through the camera equipment of the processing area to obtain the corresponding food name, voice questioning is carried out according to the food name, dishes corresponding to the food to be processed are confirmed, meanwhile, bearing statistics is carried out on the weights of different food to be processed through the bearing equipment of the processing area, the weights of the food to be processed in the bearing statistics are associated with the corresponding dishes to obtain individual dishes, and a plurality of individual dishes form the dishes to be processed and are uploaded to the linkage monitoring platform.
Preferably, the placement amounts corresponding to the different ingredients are calculated by the formulaCalculating to obtain; wherein Fz is the amount of the ingredients to be placed, i is the ingredients, i=1, 2,3, … …, n; n is a positive integer; SZi is the actual weight corresponding to the different ingredients, BZi is the standard weight corresponding to the different ingredients, and BLi is the standard placement corresponding to the different ingredients.
Preferably, when a cooking person leaves the kitchen and the cooking area works, a tracking instruction is generated, the time of the cooking person leaving the kitchen is counted according to the tracking instruction to obtain the leaving time, the corresponding early warning time is obtained according to the cooking time of the real-time cooking food material, and if the leaving time is smaller than the early warning time, a maintenance instruction is generated;
if the leaving time is not less than the early warning time, generating a control instruction, controlling the cooking equipment to be turned off when the real-time cooking time of the real-time cooking food materials is the same as the corresponding cooking time according to the control instruction, and synchronously prompting a message to the mobile equipment of the manager.
Preferably, the cooking time lengths of different food materials in the corresponding cooking operation data are obtained, the cooking time lengths of all the food materials are summed to obtain a total cooking time length, whether the cooking equipment is started or not is checked and confirmed according to the monitoring instruction, and if the cooking equipment is started or is started in an effective time range, a silencing instruction is generated;
if the total cooking time length is compared with the total cooking time length, if the cooking equipment does not start to operate outside the effective time range, generating a cooking prompt instruction and prompting a cooking person to immediately prepare a cooking prompt; the effective time range is obtained by subtracting the total cooking time from the total cooking time.
Preferably, the system also comprises a kitchen cooking food material monitoring and prompting module which is used for carrying out nutrition analysis on all dishes to be processed at different times every day and dynamically suggesting and prompting the selection of the food materials for subsequent daily cooking according to the nutrition analysis result.
Preferably, all daily dishes to be treated are obtained and numbered j, j=1, 2,3, … …, m; m is a positive integer; acquiring the weight of food materials in different dishes to be treated according to the food materials to be treated in the dishes to be treated, and marking the weight as SZj; marking standard contents corresponding to different nutrient elements of food materials in dishes to be treated as YYjk, k=1, 2,3, … … and p; p is a positive integer;
when analyzing the utilization conditions of different nutrient elements corresponding to all dishes to be processed every day, obtaining the utilization values Ly corresponding to the different nutrient elements of the dishes to be processed after cooking through calculation;
summing the utilization values of the same daily nutrient elements to obtain a utilization total value corresponding to the nutrient elements, obtaining a corresponding standard utilization range according to the number of the total people and the required quantity of the corresponding nutrient elements of each person, and comparing the utilization total value of the nutrient elements with the corresponding standard utilization range to obtain qualified elements or unqualified elements and corresponding unqualified differential;
and when dynamically suggesting and prompting the selection of the food materials for subsequent daily cooking according to the nutrition analysis result, prompting according to the unqualified difference corresponding to all unqualified elements in the nutrition analysis result.
Preferably, the calculation formula of the utilization value Ly corresponding to different nutrient elements is as followsSZj0 the weight of the food material is the standard weight; αjk is the amount of loss of different nutritional elements after the dish is cooked.
Preferably, if the total utilization value belongs to the standard utilization range, generating a qualified signal and marking the corresponding nutrient element as a qualified element;
if the total utilization value does not belong to the standard utilization range, generating a disqualified signal and marking the corresponding nutrition element as a disqualified element, and acquiring a difference value between the utilization value of the disqualified element and the minimum value of the corresponding standard utilization range according to the disqualified signal and marking the difference value as a disqualified difference.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, by monitoring, identifying and data statistics on different food materials in the kitchen processing area, the diversity of the function utilization of the existing kitchen equipment is improved, and meanwhile, effective data support can be provided for the equipment monitoring management of different subsequent functions and the collaborative coordination management among multiple equipment; by monitoring the whole cooking process of the food materials, automatically controlling the cooking temperature and dynamically prompting the operation flow by voice, cooking staff unfamiliar with cooking can complete the cooking of the food materials more conveniently and efficiently, the overall effect of the cooking staff with different cooking technologies and the safety of the cooking in a kitchen can be effectively improved, and meanwhile, the problem of waste caused by unreasonable cooking of the food materials can be avoided;
according to the invention, through the automatic control of the cooking temperature of the real-time cooking self-adaption implementation of different food materials and the dynamic prompt and management of different operations, and the supervision and prompt of the operation coordination among different devices, the overall effect of the operation supervision of the different devices in the kitchen, the safety effect and the resource utilization effect of the cooking can be effectively improved, the operation of the different devices in the cooking process can be dynamically supervised through the food material data counted by the early monitoring, and the food material data can be expanded and excavated in the later period to dynamically suggest and prompt the selection of the food materials for the subsequent daily cooking, so that the usability and the expansibility of the intelligent linkage monitoring management of the kitchen multi-device are improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a system for intelligent linkage monitoring and management of intelligent kitchen multi-equipment according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the invention relates to an intelligent linkage monitoring management system for intelligent kitchen multi-equipment, which comprises a kitchen processing state monitoring and identifying module, a kitchen cooking state monitoring and managing module, a kitchen cooking food material monitoring and prompting module and a linkage monitoring platform;
the kitchen processing state monitoring and identifying module is used for monitoring and identifying different food materials in the kitchen processing area, acquiring dishes to be processed corresponding to the food materials according to the identifying result and uploading the dishes to the linkage monitoring platform; comprising the following steps:
the method comprises the steps that image recognition is carried out on food to be processed through camera equipment of a processing area to obtain corresponding food names, the camera equipment can be a monitoring camera, voice questioning is carried out according to the food names, dishes corresponding to the food to be processed are confirmed, meanwhile, bearing statistics is carried out on the weights of different food to be processed through bearing equipment of the processing area, the weights of the food to be processed in the bearing statistics are associated with the corresponding dishes to obtain individual dishes, and a plurality of individual dishes form the dishes to be processed and are uploaded to a linkage monitoring platform;
the processing area comprises a cleaning area and a vegetable cutting area, wherein the cleaning area can be a cleaning water tank area and a tap area, and the vegetable cutting area can be a chopping board placing area; when the food material is cleaned in the processing area, image recognition is carried out on the food material through the image pickup equipment of the processing area to obtain a corresponding food material name, wherein the image recognition is carried out on the food material as the conventional technical means, and specific steps are not repeated here; the bearing equipment can be a chopping board with a bearing function, and can also be a storage basket with a bearing function, and the storage basket is used for storing and bearing the cleaned food;
comparing and searching the food material names through a food material database, carrying out voice questioning and confirmation, wherein the confirmation is carried out by identifying voice replies of cooking personnel and extracting keywords, the identification of the voice replies and the extraction of the keywords are the conventional technical means, and specific steps are not repeated here;
in the embodiment of the invention, the diversity of the function utilization of the existing kitchen equipment is improved by monitoring, identifying and data statistics of different food materials in the kitchen processing area, and meanwhile, effective data support can be provided for the equipment monitoring management of different subsequent functions and the collaborative coordination management among multiple equipment.
The kitchen cooking state monitoring management module is used for receiving dishes to be processed forwarded by the linkage monitoring platform, and dynamically controlling and prompting different food materials in a cooking area according to the dishes to be processed; comprising the following steps:
when the cooking equipment starts to run, a monitoring instruction is generated, the cooking equipment can be a gas stove, and the camera equipment of the cooking area is controlled according to the monitoring instruction to perform image recognition on food materials which are started to be cooked by the cooking equipment so as to obtain corresponding individual dishes;
the cooking area comprises a cooking operation area and a cooking treatment area, wherein the cooking operation area can be a gas stove area, and the cooking treatment area can be a range hood area; the camera equipment of the cooking area is used for carrying out image recognition on food materials which are started to be cooked by the cooking equipment, and the aim of the camera equipment is to confirm specific food materials and corresponding dishes which are cooked in real time;
acquiring corresponding cooking operation data according to the names of food materials in the individual dishes, wherein the cooking operation data comprises cooking time, flame temperatures and cooking behaviors corresponding to different times, and placement time and placement quantity corresponding to different ingredients;
wherein the placement amounts corresponding to different ingredients are calculated by the formulaCalculating to obtain; wherein Fz is the amount of the ingredients to be placed, i is the ingredients, i=1, 2,3, … …, n; n is a positive integer; sZi is the actual weight corresponding to the different ingredients, BZi is differentStandard weight corresponding to the ingredients and standard placement quantity corresponding to different ingredients of BLi;
it should be noted that, the cooking operation data corresponding to the food materials may be obtained by matching based on the cooking database corresponding to the existing cooking software; the unit of cooking time length is minutes, and the flame temperature can be specifically divided into four types, namely, slight fire, small fire, medium fire and big fire, and the corresponding temperatures are 30 ℃, 50 ℃, 80 ℃ and 110 ℃ respectively; ingredients include, but are not limited to, table salt, monosodium glutamate, light soy sauce, and dark soy sauce; the unit of the amount is gram or milliliter;
according to the embodiment of the invention, the whole cooking process of the food materials is monitored, the cooking temperature is automatically controlled, and the operation flow is dynamically prompted by voice, so that cooking staff unfamiliar with cooking can complete the cooking of the food materials more conveniently and efficiently, the overall cooking effect of the cooking staff with different cooking technologies and the safety of the kitchen in cooking can be effectively improved, and meanwhile, the problem of waste caused by unreasonable cooking of the food materials can be avoided;
the flame temperature of the cooking equipment is controlled in real time according to the flame temperatures corresponding to different times in the cooking operation data, and different ingredients are prompted to be placed through voice at different placing times; the cooking staff can actively intervene to control the flame temperature, and meanwhile, the cooking staff can be placed without corresponding placement amounts of different ingredients, so that personalized cooking requirements of the cooking staff with different cooking technologies are met;
monitoring and evaluating actions of a cooking person in a cooking process, generating a tracking instruction when the cooking person leaves a kitchen and the cooking area works, timing the time of the cooking person leaving the kitchen according to the tracking instruction to obtain a leaving time length, wherein the unit of the leaving time length is minutes, acquiring a corresponding early warning time length according to the cooking time length of a real-time cooking food material, wherein the early warning time length can be half of the cooking time length, and generating a maintenance instruction if the leaving time length is smaller than the early warning time length;
if the leaving time is not less than the early warning time, generating a control instruction, controlling the cooking equipment to be turned off when the real-time cooking time of the real-time cooking food materials is the same as the corresponding cooking time according to the control instruction, and synchronously prompting a message to the mobile equipment of the manager;
it should be noted that, according to the cooking duration of real-time cooking food and corresponding early warning duration, the operation of cooking equipment is dynamically controlled, so as to avoid fire hazards caused by dry burning of the cooking equipment all the time, such as long-time stewing of soup by the cooking equipment and fire hazards caused by non-on-site cooking personnel all the time, and the cooking equipment can realize active monitoring and active control, so that the monitoring effect of avoiding fire generation and simultaneously achieving the effect of not wasting the cooking food can be achieved.
Acquiring cooking time lengths in the cooking operation data corresponding to different food materials, summing the cooking time lengths of all the food materials to obtain a total cooking time length, detecting and confirming whether the cooking equipment is started according to the monitoring instruction, and generating a silencing instruction if the cooking equipment is started or started within an effective time range;
if the total cooking time length is compared with the total cooking time length, if the cooking equipment does not start to operate outside the effective time range, generating a cooking prompt instruction and prompting a cooking person to immediately prepare a cooking prompt; the effective time range is obtained by subtracting the total cooking time from the total cooking time;
in order to overcome the defect that cooking staff forgets to cook due to busy cooking, and the cooked rice is not cooked or is not cooked when the cooking staff is ready, the embodiment of the invention can improve the integral linkage coordination effect in a kitchen from the aspects of cooking and cooking by carrying out linkage supervision and dynamic prompt and management on the operation of cooking equipment and the operation of the cooking equipment;
according to the embodiment of the invention, through the self-adaptive implementation of automatic control of cooking temperature and dynamic prompt and management of different operations of the real-time cooking of different food materials and the supervision and prompt of the operation coordination among different devices, the overall effect of the operation supervision of different devices in a kitchen, the safety effect of cooking and the resource utilization effect can be effectively improved.
The kitchen cooking food material monitoring and prompting module is used for carrying out nutrition analysis on all dishes to be processed at different times every day, and dynamically suggesting and prompting the selection of the food materials for subsequent daily cooking according to the nutrition analysis result; comprising the following steps:
acquiring all dishes to be treated every day and numbering j, j=1, 2,3, … …, m; m is a positive integer; acquiring the weight of food materials in different dishes to be treated according to the food materials to be treated in the dishes to be treated, and marking the weight as SZj; the unit of weight is gram;
marking standard contents corresponding to different nutrient elements of food materials in dishes to be treated as YYjk, k=1, 2,3, … … and p; p is a positive integer; wherein the nutritional elements include, but are not limited to, proteins, fats, and carbohydrates;
when analyzing the utilization condition of different nutrient elements corresponding to all dishes to be treated every day, the method passes through the formulaCalculating and obtaining utilization values Ly corresponding to different nutrient elements of the cooked dishes to be processed; SZj0 the weight of the food material is the standard weight; alpha jk is the loss amount of different nutrient elements after dishes are cooked, the loss amount is obtained by training sample big data of different food materials in different cooking modes and cooking time periods through the existing neural network algorithm model, and the cooking modes comprise but are not limited to frying, stewing and steaming; in general, protein in food materials during ordinary cooking can be roughly estimated to be lost 6%, fat lost 12%, carbohydrate lost 9%;
summing the utilization values of the same nutrient elements every day to obtain a corresponding utilization total value of the nutrient elements, acquiring a corresponding standard utilization range according to the number of the total people and the required quantity of the corresponding nutrient elements every day, and comparing the utilization total value of the nutrient elements with the corresponding standard utilization range;
if the total utilization value belongs to the standard utilization range, generating a qualified signal and marking the corresponding nutrient element as a qualified element;
if the utilization total value does not belong to the standard utilization range, generating a disqualified signal and marking the corresponding nutrition element as a disqualified element, and acquiring a difference value between the utilization value of the disqualified element and the minimum value of the corresponding standard utilization range according to the disqualified signal and marking the difference value as a disqualified difference;
wherein the unqualified differential comprises a positive value and a negative value, the positive value indicates that the intake of the corresponding nutrient element exceeds the standard, and the negative value indicates that the intake of the corresponding nutrient element does not reach the standard;
and when dynamically suggesting and prompting the selection of the food materials for subsequent daily cooking according to the nutrition analysis result, prompting according to the unqualified difference corresponding to all unqualified elements in the nutrition analysis result.
In the embodiment of the invention, the operation of different equipment in the cooking process is dynamically monitored by monitoring the statistical food material data in the early stage, and meanwhile, the food material data can be expanded and mined in the later stage to dynamically suggest and prompt the selection of the food material for the subsequent daily cooking, so that the usability and the expansibility of the intelligent linkage monitoring management of the kitchen multi-equipment are improved.
In addition, the formulas related in the above are all formulas for removing dimensions and taking numerical calculation, and are one formula which is obtained by acquiring a large amount of data and performing software simulation through simulation software and is closest to the actual situation.
In the several embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (7)
1. The intelligent linkage monitoring management system for the intelligent kitchen is characterized by comprising a kitchen processing state monitoring and identifying module, a linkage monitoring platform and a control module, wherein the kitchen processing state monitoring and identifying module is used for monitoring and identifying different food materials in a kitchen processing area, acquiring dishes to be processed corresponding to the food materials according to an identifying result and uploading the dishes to the linkage monitoring platform; comprising the following steps:
image recognition is carried out on the food to be processed through the camera equipment of the processing area to obtain the corresponding food names, voice questioning is carried out according to the food names, dishes corresponding to the food to be processed are confirmed, meanwhile, bearing statistics is carried out on the weights of different food to be processed through the bearing equipment of the processing area, the weights of the food to be processed in the bearing statistics are associated with the corresponding dishes to obtain individual dishes, and a plurality of individual dishes form the dishes to be processed and are uploaded to the linkage monitoring platform;
the kitchen cooking state monitoring management module is used for receiving dishes to be processed forwarded by the linkage monitoring platform, and dynamically controlling and prompting different food materials in a cooking area according to the dishes to be processed; comprising the following steps:
generating monitoring when cooking apparatus is started upThe method comprises the steps that an image pickup device of a cooking area is controlled according to a monitoring instruction to perform image recognition on food materials which are started to be cooked by the cooking area to obtain corresponding individual dishes, corresponding cooking operation data are obtained according to names of the food materials in the individual dishes, and the cooking operation data comprise cooking time, flame temperatures and cooking behaviors corresponding to different times, and placement time and placement quantity corresponding to different ingredients; the corresponding placement amounts of different ingredients pass through the formulaCalculating to obtain; wherein Fz is the amount of the ingredients to be placed, i is the ingredients, i=1, 2,3, … …, n; n is a positive integer; SZi is the actual weight corresponding to different ingredients, BZi is the standard weight corresponding to different ingredients, and BLi is the standard placement corresponding to different ingredients;
the flame temperature of the cooking equipment is controlled in real time according to the flame temperatures corresponding to different times in the cooking operation data, and different ingredients are prompted to be placed through voice at different placing times;
monitoring and evaluating actions of cooking staff in the cooking process, dynamically controlling operation of cooking equipment when the cooking staff leaves a kitchen and a cooking area works, and synchronously prompting messages to mobile equipment of a manager;
meanwhile, the starting and running of the cooking equipment are monitored and dynamically prompted according to the cooking time length in the cooking operation data corresponding to different food materials.
2. The intelligent linkage monitoring and management system for intelligent kitchen multi-equipment according to claim 1, wherein when a cooking person leaves a kitchen and a cooking area works, a tracking instruction is generated, the time of the cooking person leaving the kitchen is counted according to the tracking instruction to obtain a leaving time, a corresponding early warning time is obtained according to the cooking time of the real-time cooking food, and if the leaving time is smaller than the early warning time, a maintenance instruction is generated;
if the leaving time is not less than the early warning time, generating a control instruction, controlling the cooking equipment to be turned off when the real-time cooking time of the real-time cooking food materials is the same as the corresponding cooking time according to the control instruction, and synchronously prompting a message to the mobile equipment of the manager.
3. The intelligent linkage monitoring and management system for intelligent kitchen multi-equipment according to claim 1, wherein cooking time lengths in cooking operation data corresponding to different food materials are obtained, the cooking time lengths of all the food materials are summed to obtain a total cooking time length, whether the rice cooking equipment is started or not is confirmed according to detection of a monitoring instruction, and if the rice cooking equipment is started or is started within an effective time range, a silencing instruction is generated;
if the total cooking time length is compared with the total cooking time length, if the cooking equipment does not start to operate outside the effective time range, generating a cooking prompt instruction and prompting a cooking person to immediately prepare a cooking prompt; the effective time range is obtained by subtracting the total cooking time from the total cooking time.
4. The intelligent linkage monitoring and management system for intelligent kitchen multi-equipment according to claim 1, further comprising a kitchen cooking food material monitoring and prompting module for performing nutrition analysis on all dishes to be processed at different times of day, and dynamically suggesting and prompting selection of food materials for subsequent daily cooking according to nutrition analysis results.
5. The intelligent kitchen multi-device intelligent linkage monitoring and management system according to claim 4, wherein all dishes to be processed are obtained every day and numbered j, j=1, 2,3, … …, m; m is a positive integer; acquiring the weight of food materials in different dishes to be treated according to the food materials to be treated in the dishes to be treated, and marking the weight as SZj; marking standard contents corresponding to different nutrient elements of food materials in dishes to be treated as YYjk, k=1, 2,3, … … and p; p is a positive integer;
when analyzing the utilization conditions of different nutrient elements corresponding to all dishes to be processed every day, obtaining the utilization values Ly corresponding to the different nutrient elements of the dishes to be processed after cooking through calculation;
summing the utilization values of the same daily nutrient elements to obtain a utilization total value corresponding to the nutrient elements, obtaining a corresponding standard utilization range according to the number of the total people and the required quantity of the corresponding nutrient elements of each person, and comparing the utilization total value of the nutrient elements with the corresponding standard utilization range to obtain qualified elements or unqualified elements and corresponding unqualified differential;
and when dynamically suggesting and prompting the selection of the food materials for subsequent daily cooking according to the nutrition analysis result, prompting according to the unqualified difference corresponding to all unqualified elements in the nutrition analysis result.
6. The intelligent kitchen multi-equipment intelligent linkage monitoring and management system according to claim 5, wherein the calculation formula of the utilization value Ly corresponding to different nutrient elements is as followsThe method comprises the steps of carrying out a first treatment on the surface of the SZj0 the weight of the food material is the standard weight; αjk is the amount of loss of different nutritional elements after the dish is cooked.
7. The intelligent linkage monitoring and management system for intelligent kitchen multi-equipment according to claim 5, wherein if the total utilization value belongs to the standard utilization range, a qualified signal is generated and the corresponding nutrient element is marked as a qualified element;
if the total utilization value does not belong to the standard utilization range, generating a disqualified signal and marking the corresponding nutrition element as a disqualified element, and acquiring a difference value between the utilization value of the disqualified element and the minimum value of the corresponding standard utilization range according to the disqualified signal and marking the difference value as a disqualified difference.
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