CN109028480A - A kind of thermostatic constant wet control system and its method - Google Patents
A kind of thermostatic constant wet control system and its method Download PDFInfo
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- CN109028480A CN109028480A CN201810587841.5A CN201810587841A CN109028480A CN 109028480 A CN109028480 A CN 109028480A CN 201810587841 A CN201810587841 A CN 201810587841A CN 109028480 A CN109028480 A CN 109028480A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
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- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a kind of thermostatic constant wet control systems comprising: suitable for the cloud server, acquisition module and control module communicated to connect with external the Internet；Wherein acquisition module and control module are communicated to connect with cloud server respectively, acquisition module is for detecting data of the Temperature and Humidity module in collecting chamber and being sent to cloud server, control module is used to control the working condition of room conditioning, cloud server has a temperature and humidity prediction model, temperature and humidity prediction model can combine the current indoor data of the Temperature and Humidity module from acquisition module, control data from control module, and the outdoor temperature data from external the Internet makes prediction to the temperature and humidity variation of indoor environment, then different air conditioner operations is traversed according to prediction result, it is screened out from it and keeps the constant air-conditioning Optimum Operation Data Concurrent of indoor temperature and humidity to send to control module carrying out pre-control in advance to room conditioning, ensure indoor maintaining constant temperature constant humidity.
Description
Technical field
The present invention relates to a kind of thermostatic constant wet control system and its methods.
Background technique
Traditional air conditioner in the prior art realizes Indoor Temperature by comparing current indoor temperature and temperature set by user
The adjusting of degree.By the current room temperature of sensing element senses, then compared with temperature set by user, tied according to comparing
Fruit carries out corresponding control processing.If there are deviations for current indoor temperature and set temperature, continue temperature adjustment running；Such as
Deviation is not present in fruit current indoor temperature and set temperature, then stops temperature adjustment running.Air-conditioning can control to adjust room temperature
In the range of human body feels comfortable, people's lives level is improved.
But there is also apparent defects for existing traditional airconditioning control mode.Indoor temperature is easy by outdoor
The influence of environment is interfered.For example, indoor temperature also will receive influence and correspondingly decline after the decline of late into the night outdoor temperature, in
After noon outdoor temperature rises, indoor temperature also will receive influence and accordingly rise.Since traditional airconditioning control mode is simple
By current indoor temperature and set temperature is compared to carry out temperature adjustment running, the regulation for room temperature is lag on ground.
Traditional air conditioner, which only detects, just will do it corresponding regulation after Current Temperatures obvious deviation occur with set temperature, can not be real
It realizes and the constant temperature and humidity of indoor environment is controlled.
Summary of the invention
It is an object of the present invention to provide a kind of thermostatic constant wet control system and its method, can Accurate Prediction it is certain
Indoor temperature and humidity after time, and indoor temperature and humidity is regulated and controled in advance, realize the constant temperature and humidity control of indoor environment.
To achieve the goals above, the present invention provides a kind of thermostatic constant wet control system comprising:
Cloud server is suitable for communicating to connect with external the Internet；
Acquisition module, control module；Wherein the acquisition module and the control module respectively with the cloud server
Communication connection, the acquisition module is for detecting data of the Temperature and Humidity module in collecting chamber and being sent to the cloud server, the control
Molding block is suitable for being controllably connected to room conditioning, for controlling the working condition of room conditioning, the cloud service utensil
There is a temperature and humidity prediction model, the temperature and humidity prediction model can be in conjunction with the current indoor temperature and humidity from the acquisition module
Data, the control data from the control module and the outdoor temperature data from external the Internet are to indoor environment
Temperature and humidity variation is made prediction, and is then traversed according to prediction result to different air conditioner operations, is screened out from it and is kept room
The constant air-conditioning Optimum Operation Data Concurrent of interior temperature and humidity is sent to the control module, is shifted to an earlier date to realize to room conditioning
Pre-control, it is ensured that indoor maintaining constant temperature constant humidity.
Preferred embodiment in accordance with the present invention, the control module, which is set, to be taken every one section of preset time to the cloud
Business device sends newly generated control data, trains the temperature and humidity pre- according to new control data for the cloud server
Model is surveyed, the accuracy of prediction is improved.
Preferred embodiment in accordance with the present invention, before the outdoor temperature data includes current outdoor temperature, preset time period
Outdoor temperature and preset time period after outdoor temperature.
Preferably, the acquisition module is SR3 sensor.
Preferably, the control module is RM IR remote controller.
Other side under this invention, the present invention further provides a kind of constant temperature and humidity control methods comprising following
Step:
(S1) current indoor data of the Temperature and Humidity module, current indoor airconditioning control data and outdoor temperature data are acquired；
(S2) current indoor data of the Temperature and Humidity module, current indoor airconditioning control data and outdoor temperature data are inputted one
Temperature and humidity prediction model predicts the variation of indoor temperature and humidity, obtains a prediction result；
(S3) different air conditioner operations is traversed according to the prediction result, is screened out from it holding indoor temperature and humidity
Constant air-conditioning Optimum Operation data；
(S4) pre-control in advance is carried out to room conditioning according to the air-conditioning Optimum Operation data.
Preferred embodiment in accordance with the present invention, the constant temperature and humidity control method further comprises: step (S5) is using newly
The airconditioning control data of generation are trained the temperature and humidity prediction model.
Preferred embodiment in accordance with the present invention, before the outdoor temperature data includes current outdoor temperature, preset time period
Outdoor temperature and preset time period after outdoor temperature.
Preferred embodiment in accordance with the present invention, the step (S5) further include steps of
(S51) Artificial Neural Network Structures are fixed；
(S52) data of the Temperature and Humidity module of input is divided into training set and test set；
(S53) in random initializtion neural network each weight and offset parameter value；
(S54) data of training set are input in neural network, carry out the linear and nonlinear operation of full articulamentum, it is defeated
The predicted value of neural network out；
(S55) error for calculating predicted value and true value, carries out backpropagation, obtains the change of each weight and offset parameter
Amount, is modified weight and offset parameter；
(S56) step (S52)-step (S55) is repeated, until predicted value and the error of true value meet preset threshold value item
Part terminates.
Preferred embodiment in accordance with the present invention, the step (S5) further comprises: step (S57) changes neural network mould
Type structure repeats step (S52)-step (S56), and it is the smallest to choose predicted value error in all different Artificial Neural Network Structures
Model is used for the prediction of indoor temperature and humidity variation.
Compared with prior art, the beneficial effects of the present invention are:
Can be according to current indoor temperature and humidity data, and combine the control number of outdoor temperature and current indoor air-conditioning
According to, it realizes the prediction to indoor temperature and humidity environmental change, pre-control adjustment in advance is carried out to indoor temperature and humidity according to prediction result, it is real
Existing indoor environment keeps constant temperature and humidity.
The above and other purposes of the present invention, feature, advantage will in the following detailed description, attached drawing and appended
Claim further clarify.
Detailed description of the invention
Fig. 1 is the configuration schematic diagram of preferred embodiment in accordance with the present invention；
Fig. 2 is the method flow diagram of preferred embodiment in accordance with the present invention；
Fig. 3 is the another method flow chart of preferred embodiment in accordance with the present invention；
In figure: cloud server 10；Acquisition module 20；Control module 30.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to invention, it should be noted that in not phase
Under the premise of conflict, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
It is described below for disclosing the present invention so that those skilled in the art can be realized the present invention.It is excellent in being described below
Embodiment is selected to be only used as illustrating, it may occur to persons skilled in the art that other obvious modifications.It defines in the following description
Basic principle of the invention can be applied to other embodiments, deformation scheme, improvement project, equivalent program and do not carry on the back
Other technologies scheme from the spirit and scope of the present invention.
It will be understood by those skilled in the art that in exposure of the invention, term " longitudinal direction ", " transverse direction ", "upper",
The orientation or position of the instructions such as "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside"
Relationship is to be based on the orientation or positional relationship shown in the drawings, and is merely for convenience of description of the present invention and simplification of the description, rather than
The device or element of indication or suggestion meaning must have a particular orientation, be constructed and operated in a specific orientation, therefore above-mentioned
Term is not considered as limiting the invention.
It is understood that term " one " is interpreted as " at least one " or " one or more ", i.e., in one embodiment,
The quantity of one element can be one, and in a further embodiment, the quantity of the element can be it is multiple, term " one " is no
It can be interpreted as the limitation to quantity.
Referring to Fig. 1 to Fig. 3 of attached drawing, the thermostatic constant wet control system and its method of preferred embodiment in accordance with the present invention will
It is elucidated in following description.The thermostatic constant wet control system provided by the present invention can be warm and humid according to current indoor
Degree evidence is made the temperature and humidity variation of indoor environment and is mentioned in conjunction with the current control data of outdoor temperature data and room conditioning
Then preceding prediction carries out the adjustment of pre-control in advance to room conditioning according to prediction result, avoids indoor environment because of outdoor environment
Change and be interfered, realizes that indoor environment keeps constant temperature and humidity.
Preferably, the outdoor temperature data includes outdoor temperature before current outdoor temperature, preset time period and pre-
If the outdoor temperature after the period.
Specifically, attached drawing 1 shows the configuration schematic diagram of thermostatic constant wet control system according to the preferred embodiment of the invention.
The thermostatic constant wet control system include suitable for communicated to connect with external the Internet cloud server 10, acquisition module 20, with
And control module 30.The acquisition module 20 and the control module 30 by electronic communications network (ECN) respectively with the cloud service
Device 10 communicates to connect.Illustratively, the cloud server 10 can transfer current outdoor temperature, a upper integral point from external the Internet
The parameter of the outdoor environments such as outdoor temperature and next integral point outdoor temperature.
It will be readily appreciated by those skilled in the art that the electronic communications network (ECN) can be any realization cloud service
Device 10 is respectively with the control module 30, the electronic communications network (ECN) communicated between the acquisition module 20.For example, the electronics is logical
Interrogating network can be a local area network (LAN), and a Metropolitan Area Network (MAN) (MAN), a wide area network (WAN) waits one kind of Internets.The electricity
Sub-communication network network is also possible to other can be realized the cloud server 10 and the control module 30, the acquisition module 20
Between the communication network that communicates, such as GSM, 3G mobile communication network (CDMA, CDMA 200, TD-CDMA, WCDMA), 4G be mobile
Communication networks such as communication network (TD-LTE, FDD-LTE etc.), 5G mobile communication network, satellite communication etc..In addition, the control
Module 30 and the acquisition module 20 can also be by first accessing WLAN (WLAN), Bluetooth transmission (Bluetooth) or heat
The networks such as point (Hot Point), are then accessed or are connected to again the electronic communications network (ECN) by these wireless communication networks
Mode is realized and is communicated between the cloud server 10.Alternatively, the control module 30 and the acquisition module 20 can also be with
It is communicated by preset customized telecommunication data protocol with the cloud server 10.
The acquisition module 20 is for detecting data of the Temperature and Humidity module in collecting chamber and being sent to the cloud server 10.It is described
Control module 30 is suitable for being controllably connected to room conditioning, for controlling the working condition of room conditioning.The cloud service
Device 10 has a temperature and humidity prediction model, can change to indoor temperature and humidity and make prediction, then according to prediction result to not
Same air conditioner operation is traversed, and is screened out from it the air-conditioning Optimum Operation Data Concurrent for keeping indoor temperature and humidity constant and is sent to institute
Control module 30 is stated, the adjustment of pre-control in advance is carried out by working condition of the control module 30 to room conditioning.
Preferably, the acquisition module 20 is SR3 sensor.
Preferably, the control module 30 is RM IR remote controller.
For more specifically, the cloud server 10 receives and in conjunction with the current indoor temperature from the acquisition module 20
Humidity data, from the control module 30 to the control data of room conditioning and from the outdoor temp of external the Internet
Degree evidence constantly train to the temperature and humidity prediction model by adjusting model structure and model parameter, chooses prediction and misses
The smallest model structure of difference and fixed model parameter.The temperature and humidity prediction model can be in conjunction with from the acquisition module 20
Current indoor data of the Temperature and Humidity module, the control data from the control module 30 and from the outdoor temperature of external the Internet
Data make prediction to the temperature and humidity variation of indoor environment, are then traversed according to prediction result to different air conditioner operations,
The air-conditioning Optimum Operation Data Concurrent for keeping indoor temperature and humidity constant is screened out from it to send to the control module 30.The control
Module 30 carries out the adjustment of pre-control in advance to room conditioning according to the air-conditioning Optimum Operation data, so that indoor environment keeps permanent
Constant temperature and humidity.
That is, the temperature and humidity prediction model can be in known current indoor temperature and humidity, current outdoor temperature, upper one
It is indoor later that certain time is predicted when integral point outdoor temperature, next integral point outdoor temperature and current airconditioning control data
Temperature and humidity, then different air conditioner operations is traversed, be screened out from it keep indoor temperature and humidity it is constant air-conditioning it is optimal
Operation data.For example, being currently ten two points of the late into the night, the cloud server 10 is transferred to obtain 30 minutes rear chambers by internet
Outer temperature will decline 2 degree, and the temperature and humidity prediction model can predict indoor temperature and humidity because external environmental interference was at 30 minutes
Then variation afterwards traverses different air conditioner operations according to prediction result, be screened out from it and keep indoor temperature and humidity permanent
Fixed air-conditioning Optimum Operation Data Concurrent, which is sent to the control module 30, carries out pre-control in advance to room conditioning so that 30 minutes it
Indoor temperature and humidity not will receive the influence that outdoor temperature sharply declines afterwards.
Preferably, the control module 30, which is set, sends new production to the cloud server 10 every one section of preset time
Raw control data are trained the temperature and humidity prediction model according to new control data for the cloud server 10, are mentioned
The accuracy of height prediction.
Merely current indoor temperature is compared in dependence to traditional air conditioner in the prior art and the deviation of set temperature is come to sky
The working condition of tune is adjusted, and the regulation for indoor environment is lag.Compared with the prior art, provided by the present invention
Thermostatic constant wet control system can be according to current indoor temperature and humidity data, and combine outdoor temperature and current air-conditioning control
Data processed realize the prediction to indoor temperature and humidity environmental change, carry out pre- control in advance to indoor temperature and humidity according to prediction result
It is whole, realize that indoor environment keeps constant temperature and humidity.
As shown in Fig. 2, the present invention further provides a kind of constant temperature and humidity control methods comprising following steps:
(S1) current indoor data of the Temperature and Humidity module, current indoor airconditioning control data and outdoor temperature data are acquired；
(S2) current indoor data of the Temperature and Humidity module, current indoor airconditioning control data and outdoor temperature data are inputted one
Temperature and humidity prediction model predicts the variation of indoor temperature and humidity, obtains a prediction result；
(S3) different air conditioner operations is traversed according to the prediction result, is screened out from it holding indoor temperature and humidity
Constant air-conditioning Optimum Operation data；
(S4) pre-control in advance is carried out to room conditioning according to the air-conditioning Optimum Operation data.
Preferably, the constant temperature and humidity control method further comprises: step (S5) utilizes newly generated airconditioning control number
It is trained according to the temperature and humidity prediction model, improves the accuracy rate of prediction.
Preferably, the outdoor temperature data includes outdoor temperature before current outdoor temperature, preset time period and pre-
If the outdoor temperature after the period.
Specifically, as shown in Fig. 3, the step (S5) further includes steps of
(S51) Artificial Neural Network Structures are fixed；
(S52) data of the Temperature and Humidity module of input is divided into training set and test set；
(S53) in random initializtion neural network each weight and offset parameter value；
(S54) data of training set are input in neural network, carry out the linear and nonlinear operation of full articulamentum, it is defeated
The predicted value of neural network out；
(S55) error for calculating predicted value and true value, carries out backpropagation, obtains the change of each weight and offset parameter
Amount, is modified weight and offset parameter；
(S56) step (S52)-step (S55) is repeated, until predicted value and the error of true value meet preset threshold value item
Part terminates.
Preferably, the step (S5) further comprises: step (S57) changes Artificial Neural Network Structures, repeats step
(S52)-step (S56) chooses the smallest model of predicted value error in all different Artificial Neural Network Structures and is used for Indoor Temperature
The prediction of humidity variation.
It should be understood by those skilled in the art that foregoing description and the embodiment of the present invention shown in the drawings are only used as illustrating
And it is not intended to limit the present invention.The purpose of the present invention has been fully and effectively achieved.Function and structural principle of the invention exists
It shows and illustrates in embodiment, under without departing from the principle, embodiments of the present invention can have any deformation or modification.
Claims (9)
1. a kind of thermostatic constant wet control system characterized by comprising
Cloud server is suitable for communicating to connect with external the Internet；
Acquisition module, control module；Wherein the acquisition module and the control module are communicated with the cloud server respectively
Connection, the acquisition module is for detecting data of the Temperature and Humidity module in collecting chamber and being sent to the cloud server, the control mould
Block is suitable for being controllably connected to room conditioning, and for controlling the working condition of room conditioning, the cloud server has one
Temperature and humidity prediction model, the temperature and humidity prediction model can be in conjunction with the warm and humid degrees of current indoor from the acquisition module
According to, control data from the control module and the outdoor temperature data from external the Internet to the temperature of indoor environment
Humidity variation is made prediction, and is then traversed according to prediction result to different air conditioner operations, and it is indoor to be screened out from it holding
The constant air-conditioning Optimum Operation Data Concurrent of temperature and humidity is sent to the control module, and the control module is optimal according to the air-conditioning
Operation data carries out pre-control in advance to room conditioning.
2. thermostatic constant wet control system as described in claim 1, which is characterized in that the control module is set every one section
Preset time sends newly generated control data to the cloud server, for the cloud server according to new control number
According to training the temperature and humidity prediction model.
3. thermostatic constant wet control system as described in claim 1, which is characterized in that the outdoor temperature data includes working as cup
The outdoor temperature after outdoor temperature and preset time period before outer temperature, preset time period.
4. the thermostatic constant wet control system as described in any one of claim 1-3, which is characterized in that the acquisition module is
SR3 sensor, the control module are RM IR remote controller.
5. a kind of constant temperature and humidity control method, which comprises the following steps:
(S1) current indoor data of the Temperature and Humidity module, current indoor airconditioning control data and outdoor temperature data are acquired；
(S2) input one of current indoor data of the Temperature and Humidity module, current indoor airconditioning control data and outdoor temperature data is warm and humid
Prediction model is spent, the variation of indoor temperature and humidity is predicted, a prediction result is obtained；
(S3) different air conditioner operations is traversed according to the prediction result, is screened out from it and keeps indoor temperature and humidity constant
Air-conditioning Optimum Operation data；
(S4) pre-control in advance is carried out to room conditioning according to the air-conditioning Optimum Operation data.
6. constant temperature and humidity control method as claimed in claim 5, which is characterized in that the outdoor temperature data includes working as cup
The outdoor temperature after outdoor temperature and preset time period before outer temperature, preset time period.
7. the constant temperature and humidity control method as described in claim 5 or 6, which is characterized in that further comprise: step (S5) utilizes
Newly generated airconditioning control data are trained the temperature and humidity prediction model.
8. constant temperature and humidity control method as claimed in claim 7, which is characterized in that the step (S5) further comprises following
Step:
(S51) Artificial Neural Network Structures are fixed；
(S52) data of the Temperature and Humidity module of input is divided into training set and test set；
(S53) in random initializtion neural network each weight and offset parameter value；
(S54) data of training set are input in neural network, carry out the linear and nonlinear operation of full articulamentum, output mind
Predicted value through network；
(S55) error for calculating predicted value and true value, carries out backpropagation, obtains the knots modification of each weight and offset parameter,
Weight and offset parameter are modified；
(S56) step (S52)-step (S55) is repeated, until predicted value and the error of true value meet preset threshold condition knot
Beam.
9. constant temperature and humidity control method as claimed in claim 8, which is characterized in that the step (S5) further comprises: step
Suddenly (S57) changes Artificial Neural Network Structures, repeats step (S52)-step (S56), chooses all different neural network models
The smallest model of predicted value error is used for the prediction of indoor temperature and humidity variation in structure.
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