CN110073857A - A kind of greenhouse facade ventilating and thermal insulating global anti-wind system and control method - Google Patents
A kind of greenhouse facade ventilating and thermal insulating global anti-wind system and control method Download PDFInfo
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- CN110073857A CN110073857A CN201910358744.3A CN201910358744A CN110073857A CN 110073857 A CN110073857 A CN 110073857A CN 201910358744 A CN201910358744 A CN 201910358744A CN 110073857 A CN110073857 A CN 110073857A
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
- A01G9/14—Greenhouses
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
- A01G9/24—Devices or systems for heating, ventilating, regulating temperature, illuminating, or watering, in greenhouses, forcing-frames, or the like
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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
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
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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
- Y02P60/00—Technologies relating to agriculture, livestock or agroalimentary industries
- Y02P60/14—Measures for saving energy, e.g. in green houses
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- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Greenhouses (AREA)
Abstract
The invention belongs to greenhouse technology field, a kind of greenhouse facade ventilating and thermal insulating global anti-wind system and control method are disclosed, temperature sensor is utilized to acquire greenhouse temperature data；Chamber humidity data are acquired using humidity sensor；Greenhouse ventilation air speed data is acquired using air velocity transducer；Pressure data is hit by wind using pressure sensor acquisition greenhouse；Greenhouse deformation data is calculated using calculation procedure by deformation calculation module；Temperature prediction of greenhouses model is constructed using data model construction procedures；Coordinate power-save operation using optimization program optimization control kind greenhouse multiple-factor；Calculating alert notification is carried out according to collected abnormal data using alarm device；Utilize temperature, the humidity, wind speed, deformation data of memory storage acquisition.This invention ensures that the accurate and efficiency of greenhouse regulation, in turn avoids unnecessary energy consumption waste, saved the cost of regulation, the accurate effective of control ensure that.
Description
Technical field
The invention belongs to greenhouse technology field more particularly to a kind of greenhouse facade ventilating and thermal insulating global anti-wind systems and controlling party
Method.
Background technique
Greenhouse can provide breeding time and increase yield, be chiefly used in low temperature season in the season for being not suitable for plant growth
The plant cultures such as warm season vegetable, flowers, forest or nursery etc..The type in greenhouse is more, according to different roof truss materials, lighting material,
Shape and heating condition etc. can be divided into many types again, such as glasshouse, plastics polycarbonate greenhouse；Single-ridgepole glasshouse, Lian Dongwen
Room；Single roof greenhouse, double roof greenhouses；Heat greenhouse, unheating hothouse etc..Greenhouse structure answers sealing thermal insulation, but should be convenient for
It is aeration-cooling.There is the equipment of the conditions such as control temperature and humidity, illumination in modern greenhouse, automatically controlled with computer and create plant institute
The optimal environmental condition needed.Greenhouse be using daylighting covering material as all or part of space enclosing structure material, can in winter or its
It is not suitable for building of the season for cultivated plant of open country plant growth.However, existing greenhouse is inaccurate to temperature prediction, it cannot
It is heated in advance or the operation that cools down in time；Meanwhile greenhouse energy consumption is excessively high.
In conclusion problem of the existing technology is:
Existing greenhouse cannot heat or the operation that cools down temperature prediction inaccuracy in advance in time；Meanwhile greenhouse energy consumption
It is excessively high.
In the prior art, overcome temperature prediction model mechanistic weak, pervasive not over temperature prediction model building module
Property difference defect, and greenhouse energy consumption cannot be effectively reduced, influencing environmental factor to plant products not can be carried out setting value optimization.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of greenhouse facade ventilating and thermal insulating global anti-wind system and controls
Method.
The invention is realized in this way a kind of control method of greenhouse facade ventilating and thermal insulating global anti-wind system, comprising:
Step 1 acquires greenhouse temperature data using temperature sensor by temperature collecting module；Pass through humidity collection mould
Block acquires chamber humidity data using humidity sensor；Greenhouse ventilation wind is acquired using air velocity transducer by wind speed acquisition module
Fast data；Greenhouse, which is acquired, using pressure sensor by pressure acquisition module is hit pressure data by wind；
Step 2, central control module calculate greenhouse deformation data using calculation procedure by deformation calculation module；Pass through
Temperature prediction model constructs module and constructs temperature prediction of greenhouses model using data model construction procedures；Construct temperature prediction of greenhouses
In model, with the temperature in constant duration △ t acquisition greenhouse, the time series data of temperature is obtained；According to consecutive days to described
The time series data of temperature is split, and selected part data are used for from the time series data of the temperature after segmentation
Modeling, referred to as data set RA, remaining data are used for testing model, referred to as data set RB；The RA is smoothed, then
Data building data set A is extracted from the RA after smoothing processing using sliding time window；Using sliding time window from
Data are extracted in the RB constructs data set B；When constructing the data set A and B, the width of the sliding time window is set as
4, sliding step is set as 1, and the acquisition time of 4 data is respectively with t in window-2、t-1、t0And t1It indicates, t1Away from it is present when
Between recently, t-2It is farthest away from the now time, t-2、t-1、t0And t1The temperature at moment is respectively with T-2、T-1、T0And T1It indicates；According to institute
State data set A building greenhouse winter temperature change prediction model M1；The M1 are as follows: TP=a+bT0+cT0D0D-1, wherein described
TP is the temperature DEG C at the t1 moment of M1 prediction, and described a, b and c are undetermined coefficient, utilizes A the and SPSS software
Nonlinear fitting function calculating described in a, b and c, when calculating described a, b and c, enable TP=T1, the D0=(T0-T-1)/
(t0-t-1), D-1=(T-1-T-2)/(t-1-t-2)；The M1 degree of being fitted is examined using the data set B；
Coordinate power-save operation using optimization program optimization control kind greenhouse multiple-factor by optimization module；Set crop
In the expectation mean daily temperature of each growth period, and obtain the following data of weather forecast on the seven；Estimate ventilating system for greenhouse shape
State；The growth period according to locating for crop weekly determines all mean temperatures and is set according to desired mean daily temperature and data of weather forecast
Each environmental factor setting value in greenhouse；The environmental factor includes temperature, humidity, light radiation intensity and gas concentration lwevel；
Environmental factor real value is obtained, according to respective execution mechanisms in the environmental factor setting value controllable greenhouse；
Calculating alert notification is carried out according to collected abnormal data using alarm device by alarm modules；
Step 3 utilizes temperature, the humidity, wind speed, texturing variables of memory storage acquisition by greenhouse data memory module
According to；
Step 4 utilizes temperature, the humidity, wind speed, deformation data in display display acquisition greenhouse by display module.
Further, deformation calculation model: Δ l=m × Ti is preset in the deformation calculation module, wherein Δ l is deformation
Amount, it is positive number that m, which is computational constant,；Deformation upper limit value lmax, 0 < Δ l≤lmax are preset in deformation calculation module；Deformation
Deformation temperature difference mapping set is preset in computing module, deformation temperature difference mapping set includes multiple subsets, each subset includes
One temperature difference and a deformation values；Deformation calculation module calculates greenhouse deformation data using calculation procedure according to the current temperature difference；
Then the correspondence deformation values of acquisition are input to central control module, central control module utilizes optimization program by optimization module
It is automatically repaired according to temperature difference deformation.
Further, according to desired mean daily temperature and data of weather forecast China, future is calculated using rolling optimization mode
Optimal mean daily temperature on the seven, the frequency of rolling optimization are the performance function J1 that when rolling optimization uses once a day are as follows:
In formula, qtomηDMFMDMHar(TDi) indicate mean daily temperature on the i-thth for TDiWhen crop generate income, qtom
Indicate crop unit price, ηDMFMIndicate transforming factor of the fruit dry weight to fruit fresh weight, DMHarIndicate that the fruit dry matter of harvest produces
Amount,
qheatQheat(TDi) the i-th mean daily temperature of expression be TDiWhen heating energy consumption cost, qheatIndicate heat energy
Unit price, QheatIndicate heating energy consumption,
The constraint condition used when rolling optimization includes accumulation temperature conditions on the seven and room temperature bound condition；
The same day hourly average temperature met under the optimal mean daily temperature constraint, rolling are calculated using rolling optimization mode
The frequency of dynamic optimization is the performance function J2 that when rolling optimization uses once every hour are as follows:
In formula, THjIndicate the hourly average temperature of jth hour；
Constraint condition day accumulation temperature condition, room temperature bound condition, the average temperature on daytime used when rolling optimization
Degree condition and adjacent hour temperature difference upper bound condition.
Further, ventilating system for greenhouse state is estimated specifically:
Using the temperature value in data of weather forecast as outdoor temperature, by the outdoor temperature and frosting temperature and ventilation temperature
Degree is compared, and the opening degree of ventilating system is obtained according to comparison result.
Further, in controllable greenhouse when respective execution mechanisms, with mutually coordinated between controllable greenhouse environmental factor and regulation hand
Mutually coordinated section is principle；
When regulating and controlling to greenhouse, specifically includes temperature control, humid control, light control, carbon dioxide control and lead to
Air control system.
Further, when regulating and controlling to greenhouse, weighted linear function T determines the movements of each control means, the weighting
The expression formula of linear function T are as follows:
T(mco2,mT,mR,mH)=α × F (mco2set,mTset,mRset,mHset)+β·G(mco2in,mTin,mRin,mHin)+λ·H
(mTout,mRout,mHout,Fv,Prain)
In formula, T indicates specific control means, and F indicates that artificial setup parameter value function, G indicate indoor environment parameter, H table
Show that Outdoor Air Parameters, α, β, λ respectively indicate corresponding weight；mco2Indicate carbon dioxide releasing amount, mTIndicate target temperature, mR
Indicate illumination target emanation amount, mHIndicate target humidity, mco2setIndicate indoor carbon dioxide concentration set point, mTsetIndicate indoor
Desired temperature, mRsetIndicate indoor illumination amount of radiation setting value, mHsetIndicate indoor humidity setting value, mco2inIndicate interior two
Aoxidize concentration of carbon, mTinIndicate room temperature, mRinIndicate indoor illumination amount of radiation, mHinIndicate indoor humidity, mco2outIndicate room
Outer gas concentration lwevel, mToutIndicate outdoor temperature, mRoutIndicate that outdoor optical shines amount of radiation, mHoutIndicate outside humidity, Fv is indicated
Outdoor wind speed, PrainIndicate outdoor rainfall.
Another object of the present invention is to provide a kind of control program of greenhouse facade ventilating and thermal insulating global anti-wind system, the temperature
The control program of room facade ventilating and thermal insulating global anti-wind system realizes the control method of the greenhouse facade ventilating and thermal insulating global anti-wind system.
Another object of the present invention is to provide a kind of terminal, the terminal, which is carried, realizes the greenhouse facade ventilating and thermal insulating
The controller of the control method of global anti-wind system.
Another object of the present invention is to provide a kind of computer readable storage mediums, including instruction, when it is in computer
When upper operation, so that computer executes the control method of the greenhouse facade ventilating and thermal insulating global anti-wind system.
Another object of the present invention is to provide a kind of controlling parties for implementing the greenhouse facade ventilating and thermal insulating global anti-wind system
The greenhouse facade ventilating and thermal insulating global anti-wind system of method, the greenhouse facade ventilating and thermal insulating global anti-wind system include:
Temperature collecting module is connect with central control module, for acquiring greenhouse temperature data by temperature sensor；
Humidity collection module, connect with central control module, for acquiring chamber humidity data by humidity sensor；
Wind speed acquisition module, connect with central control module, for acquiring greenhouse ventilation wind speed number by air velocity transducer
According to；
Pressure acquisition module, connect with central control module, is hit for acquiring greenhouse by pressure sensor by wind
Pressure data；
Central control module, with temperature collecting module, humidity collection module, wind speed acquisition module, pressure acquisition module, shape
Become computing module, temperature prediction model building module, optimization module, alarm modules, greenhouse data memory module, display module to connect
It connects, is worked normally for controlling modules by single-chip microcontroller；
Deformation calculation module, connect with central control module, for calculating greenhouse deformation data by calculation procedure；
Temperature prediction model constructs module, connect with central control module, for being constructed by data model construction procedures
Temperature prediction of greenhouses model；
Optimization module is connect with central control module, for passing through optimization program optimization control kind greenhouse multiple-factor
Coordinate power-save operation；
Alarm modules are connect with central control module, based on being carried out by alarm device according to collected abnormal data
Calculate alert notification；
Greenhouse data memory module, connect with central control module, for the temperature, wet by memory storage acquisition
Degree, wind speed, deformation data；
Display module is connect with central control module, for showing temperature, the humidity, wind in acquisition greenhouse by display
Speed, deformation data.
Advantages of the present invention and good effect are as follows:
The present invention by temperature prediction model construct module overcome previous temperature prediction model it is mechanistic it is weak, universality is poor
Defect, provide a kind of according to temperature inertness, by tracking temperature change first derivative, building greenhouse winter temperature change is pre-
The forecasting accuracy of the method for surveying model, the model of this method building is high, and universality is good；Meanwhile by optimization module to each temperature
The setting value-acquiring method of the room environmental factor has carried out coordinate design, and the realization of greenhouse energy consumption is effectively reduced and increases income, to plant products
The environmental factor setting value being affected optimizes, and achievees the purpose that energy conservation and increases income；The present invention uses deformation calculation module
Greenhouse deformation data is calculated using calculation procedure according to the current temperature difference, central control module will obtain data and pass through optimization module,
It is automatically repaired using optimization program according to temperature difference deformation, is conducive to improve the accurate of greenhouse regulation.
The present invention, by the equivalent coordination to temperature main gene of the secondary factor of greenhouse, is guaranteed simultaneously using corresponding strategy
Mutually coordinate between executing agency, both ensure that the accurate and efficiency of greenhouse regulation, in turn avoids unnecessary energy consumption waste, save
The cost of regulation, ensure that control it is accurate effectively.
Detailed description of the invention
Fig. 1 is greenhouse facade ventilating and thermal insulating global anti-wind system structure chart provided in an embodiment of the present invention.
In figure: 1, temperature collecting module；2, humidity collection module；3, wind speed acquisition module；4, pressure acquisition module；5, in
Entreat control module；6, deformation calculation module；7, temperature prediction model constructs module；8, optimization module；9, alarm modules；10, warm
Room data memory module；11, display module.
Fig. 2 is the control method flow chart of facade ventilating and thermal insulating global anti-wind system in greenhouse provided in an embodiment of the present invention.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Existing greenhouse cannot heat or the operation that cools down temperature prediction inaccuracy in advance in time；Meanwhile greenhouse energy consumption
It is excessively high.In the prior art, not over temperature prediction model building module overcome temperature prediction model it is mechanistic it is weak, universality is poor
Defect, and greenhouse energy consumption cannot be effectively reduced, influencing environmental factor to plant products not can be carried out setting value optimization.
To solve the above problems, being explained in detail with reference to the accompanying drawing to structure of the invention.
As shown in Figure 1, facade ventilating and thermal insulating global anti-wind system in greenhouse provided in an embodiment of the present invention includes: temperature collecting module
1, humidity collection module 2, wind speed acquisition module 3, pressure acquisition module 4, central control module 5, deformation calculation module 6, temperature
Prediction model constructs module 7, optimization module 8, alarm modules 9, greenhouse data memory module 10, display module 11.
Temperature collecting module 1 is connect with central control module 5, for acquiring greenhouse temperature data by temperature sensor；
Humidity collection module 2 is connect with central control module 5, for acquiring chamber humidity data by humidity sensor；
Wind speed acquisition module 3 is connect with central control module 5, for acquiring greenhouse ventilation wind speed by air velocity transducer
Data；
Pressure acquisition module 4 is connect with central control module 5, for acquiring greenhouse by wind by pressure sensor
Hit pressure data；
Central control module 5, with temperature collecting module 1, humidity collection module 2, wind speed acquisition module 3, pressure acquisition mould
Block 4, deformation calculation module 6, temperature prediction model construct module 7, optimization module 8, alarm modules 9, greenhouse data memory module
10, display module 11 connects, and works normally for controlling modules by single-chip microcontroller；
Deformation calculation module 6 is connect with central control module 5, for calculating greenhouse deformation data by calculation procedure；
Temperature prediction model constructs module 7, connect with central control module 5, for passing through data model construction procedures structure
Build temperature prediction of greenhouses model；
Optimization module 8 is connect with central control module 5, for by optimization program optimization control kind of greenhouse mostly because
Son coordinates power-save operation；
Alarm modules 9 are connect with central control module 5, for being carried out by alarm device according to collected abnormal data
Calculate alert notification；
Greenhouse data memory module 10 is connect with central control module 5, for by memory storage acquisition temperature,
Humidity, wind speed, deformation data；
Display module 11 is connect with central control module 5, for by display show the acquisition temperature in greenhouse, humidity,
Wind speed, deformation data.
As shown in Fig. 2, the control method of facade ventilating and thermal insulating global anti-wind system in greenhouse provided in an embodiment of the present invention includes:
S101 acquires greenhouse temperature data using temperature sensor by temperature collecting module 1；Pass through humidity collection module
2 acquire chamber humidity data using humidity sensor；Greenhouse ventilation wind is acquired using air velocity transducer by wind speed acquisition module 3
Fast data；Greenhouse, which is acquired, using pressure sensor by pressure acquisition module 4 is hit pressure data by wind.
S102, central control module 5 calculate greenhouse deformation data using calculation procedure by deformation calculation module 6；Pass through
Temperature prediction model constructs module 7 and constructs temperature prediction of greenhouses model using data model construction procedures；Pass through 8 benefit of optimization module
Coordinate power-save operation with optimization program optimization control kind greenhouse multiple-factor；By alarm modules 9 using alarm device according to adopting
The abnormal data collected carries out calculating alert notification.
S103 utilizes temperature, the humidity, wind speed, texturing variables of memory storage acquisition by greenhouse data memory module 10
According to.
S104 utilizes temperature, the humidity, wind speed, deformation data in display display acquisition greenhouse by display module 11.
It is small combined with specific embodiments below that the invention will be further described.
Embodiment 1
Temperature prediction model building 7 construction method of module provided in an embodiment of the present invention is as follows:
(1) with the temperature in constant duration △ t acquisition greenhouse, the time series data of temperature is obtained；
(2) be split according to time series data of the consecutive days to the temperature, from the temperature after segmentation when
Between selected part data are for modeling in sequence data, referred to as data set RA, remaining data is used for testing model, referred to as data set
RB；
(3) RA is smoothed, is then mentioned from the RA after smoothing processing using sliding time window
Access is according to building data set A；Data building data set B is extracted from the RB using sliding time window；
When constructing the data set A and B, the width of the sliding time window is set as 4, and sliding step is set as 1, window
The acquisition time of interior 4 data is respectively with t-2、t-1、t0And t1It indicates, t1It is nearest away from the now time, t-2Away from the now time
Farthest, t-2、t-1、t0And t1The temperature at moment is respectively with T-2、T-1、T0And T1It indicates；
(4) greenhouse winter temperature change prediction model M is constructed according to the data set A1；
The M1 are as follows: TP=a+bT0+cT0D0D-1, wherein the TP is the M1The temperature at the t1 moment of prediction
DEG C, described a, b and c are undetermined coefficient, a, b and c described in the nonlinear fitting function calculating using A the and SPSS software,
When calculating described a, b and c, T is enabledP=T1, the D0=(T0-T-1)/(t0-t-1), D-1=(T-1-T-2)/(t-1-
t-2)；
(5) the M1 degree of being fitted is examined using the data set B.
In embodiments of the present invention, deformation calculation model: Δ l=m × Ti, wherein Δ is preset in deformation calculation module 6
L is deformation quantity, and it is positive number that m, which is computational constant,；It is preset with deformation upper limit value lmax in deformation calculation module, 0 < Δ l≤
lmax；Deformation temperature difference mapping set is preset in deformation calculation module, deformation temperature difference mapping set includes multiple subsets, each
Subset includes a temperature difference and a deformation values；Deformation calculation module 6 calculates greenhouse using calculation procedure according to the current temperature difference
Deformation data；Then the correspondence deformation values of acquisition are input to central control module 5, central control module 5 passes through optimization module 8
It is automatically repaired using optimization program according to temperature difference deformation.
Embodiment 2
8 optimization method of optimization module provided by the invention is as follows:
1) crop is set in the expectation mean daily temperature of each growth period, and obtains the following data of weather forecast on the seven；
2) ventilating system for greenhouse state is estimated；
3) described according to step 1) and step 2) using each environmental factor setting value in multiple-factor tuning algorithm setting greenhouse
Environmental factor includes temperature, humidity, light radiation intensity and gas concentration lwevel；
4) environmental factor real value is obtained, according to respective execution mechanisms in the environmental factor setting value controllable greenhouse.
In embodiments of the present invention, in the step 3), detailed process that temperature is set are as follows:
A) growth period according to locating for crop weekly determines all mean temperatures；
B) according to desired mean daily temperature and data of weather forecast, the optimal of seven days futures is calculated using rolling optimization mode
Mean daily temperature, the frequency of rolling optimization are the performance function J1 that when rolling optimization uses once a day are as follows:
In formula, qtomηDMFMDMHar(TDi) indicate mean daily temperature on the i-thth for TDiWhen crop generate income, qtom
Indicate crop unit price, ηDMFMIndicate transforming factor of the fruit dry weight to fruit fresh weight, DMHarIndicate that the fruit dry matter of harvest produces
Amount,
qheatQheat(TDi) the i-th mean daily temperature of expression be TDiWhen heating energy consumption cost, qheatIndicate heat energy
Unit price, QheatIndicate heating energy consumption,
The constraint condition used when rolling optimization includes accumulation temperature conditions on the seven and room temperature bound condition；
C the same day hourly average temperature met under the optimal mean daily temperature constraint) is calculated using rolling optimization mode,
The frequency of rolling optimization is the performance function J2 that when rolling optimization uses once every hour are as follows:
In formula, THjIndicate the hourly average temperature of jth hour；
Constraint condition day accumulation temperature condition, room temperature bound condition, the average temperature on daytime used when rolling optimization
Degree condition and adjacent hour temperature difference upper bound condition.
In step 2) provided by the invention, ventilating system for greenhouse state is estimated specifically:
Using the temperature value in data of weather forecast as outdoor temperature, by the outdoor temperature and frosting temperature and ventilation temperature
Degree is compared, and the opening degree of ventilating system is obtained according to comparison result.
In step 4) provided by the invention, in controllable greenhouse when respective execution mechanisms, with phase between controllable greenhouse environmental factor
Mutually coordinate and control measures are mutually coordinated for principle.
In step 4) provided by the invention, when regulating and controlling to greenhouse, temperature control, humid control, illumination are specifically included
Control, carbon dioxide control and Ventilation Control.
In step 4) provided by the invention, when regulating and controlling to greenhouse, weighted linear function T determines each control means
Movement, the expression formula of the weighted linear function T are as follows:
T(mco2,mT,mR,mH)=α × F (mco2set,mTset,mRset,mHset)+β·G(mco2in,mTin,mRin,mHin)+λ·H
(mTout,mRout,mHout,Fv,Prain)
In formula, T indicates specific control means, and F indicates that artificial setup parameter value function, G indicate indoor environment parameter, H table
Show that Outdoor Air Parameters, α, β, λ respectively indicate corresponding weight；mco2Indicate carbon dioxide releasing amount, mTIndicate target temperature, mR
Indicate illumination target emanation amount, mHIndicate target humidity, mco2setIndicate indoor carbon dioxide concentration set point, mTsetIndicate indoor
Desired temperature, mRsetIndicate indoor illumination amount of radiation setting value, mHsetIndicate indoor humidity setting value, mco2inIndicate interior two
Aoxidize concentration of carbon, mTinIndicate room temperature, mRinIndicate indoor illumination amount of radiation, mHinIndicate indoor humidity, mco2outIndicate room
Outer gas concentration lwevel, mToutIndicate outdoor temperature, mRoutIndicate that outdoor optical shines amount of radiation, mHoutIndicate outside humidity, Fv is indicated
Outdoor wind speed, PrainIndicate outdoor rainfall.
Embodiment 3
When the invention works, firstly, acquiring greenhouse temperature data using temperature sensor by temperature collecting module 1；It is logical
It crosses humidity acquisition module 2 and acquires chamber humidity data using humidity sensor；Air velocity transducer is utilized by wind speed acquisition module 3
Acquire greenhouse ventilation air speed data；Greenhouse, which is acquired, using pressure sensor by pressure acquisition module 4 is hit number pressure by wind
According to；Secondly, central control module 5 calculates greenhouse deformation data using calculation procedure by deformation calculation module 6；It is pre- by temperature
It surveys model construction module 7 and constructs temperature prediction of greenhouses model using data model construction procedures；Optimization is utilized by optimization module 8
Program optimization control kind greenhouse multiple-factor coordinates power-save operation；By alarm modules 9 using alarm device according to collected
Abnormal data carries out calculating alert notification；Then, by greenhouse data memory module 10 using memory storage acquisition temperature,
Humidity, wind speed, deformation data；Finally, by display module 11 using the display display acquisition temperature in greenhouse, humidity, wind speed,
Deformation data.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or
Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to
Process described in the embodiment of the present invention or function.The computer can be general purpose computer, special purpose computer, computer network
Network or other programmable devices.The computer instruction may be stored in a computer readable storage medium, or from one
Computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from one
A web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)
Or wireless (such as infrared, wireless, microwave etc.) mode is carried out to another web-site, computer, server or data center
Transmission).The computer-readable storage medium can be any usable medium or include one that computer can access
The data storage devices such as a or multiple usable mediums integrated server, data center.The usable medium can be magnetic Jie
Matter, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk Solid
State Disk (SSD)) etc..
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (10)
1. a kind of control method of greenhouse facade ventilating and thermal insulating global anti-wind system, which is characterized in that the greenhouse facade ventilating and thermal insulating
The control method of global anti-wind system includes:
Step 1 acquires greenhouse temperature data using temperature sensor by temperature collecting module；Pass through humidity collection module benefit
Chamber humidity data are acquired with humidity sensor；Greenhouse ventilation wind speed number is acquired using air velocity transducer by wind speed acquisition module
According to；Greenhouse, which is acquired, using pressure sensor by pressure acquisition module is hit pressure data by wind；
Step 2, central control module calculate greenhouse deformation data using calculation procedure by deformation calculation module；Pass through temperature
Prediction model constructs module and constructs temperature prediction of greenhouses model using data model construction procedures；Construct temperature prediction of greenhouses model
In, with the temperature in constant duration △ t acquisition greenhouse, obtain the time series data of temperature；According to consecutive days to the temperature
Time series data be split, selected part data are for building from the time series data of the temperature after segmentation
Mould, referred to as data set RA, remaining data are used for testing model, referred to as data set RB；The RA is smoothed, is then made
Data building data set A is extracted from the RA after smoothing processing with sliding time window；Using sliding time window from institute
It states and extracts data building data set B in RB；When constructing the data set A and B, the width of the sliding time window is set as 4,
Sliding step is set as 1, and the acquisition time of 4 data is respectively with t in window-2、t-1、t0And t1It indicates, t1Away from the now time
Recently, t-2It is farthest away from the now time, t-2、t-1、t0And t1The temperature at moment is respectively with T-2、T-1、T0And T1It indicates；According to described
Data set A constructs greenhouse winter temperature change prediction model M1；The M1 are as follows: TP=a+bT0+cT0D0D-1, wherein the TP
For the temperature DEG C at the t1 moment of M1 prediction, described a, b and c are undetermined coefficient, utilize A the and SPSS software
A, b and c described in nonlinear fitting function calculating when calculating described a, b and c, enable TP=T1, and the D0=(T0-T-1)/
(t0-t-1), D-1=(T-1-T-2)/(t-1-t-2)；The M1 degree of being fitted is examined using the data set B；
Coordinate power-save operation using optimization program optimization control kind greenhouse multiple-factor by optimization module；Crop is set each
The expectation mean daily temperature of a growth period, and obtain the following data of weather forecast on the seven；Estimate ventilating system for greenhouse state；Root
All mean temperatures are determined according to growth period locating for crop weekly and greenhouse is set according to desired mean daily temperature and data of weather forecast
Interior each environmental factor setting value；The environmental factor includes temperature, humidity, light radiation intensity and gas concentration lwevel；It obtains
Environmental factor real value, according to respective execution mechanisms in the environmental factor setting value controllable greenhouse；
Calculating alert notification is carried out according to collected abnormal data using alarm device by alarm modules；
Step 3 utilizes temperature, the humidity, wind speed, deformation data of memory storage acquisition by greenhouse data memory module；
Step 4 utilizes temperature, the humidity, wind speed, deformation data in display display acquisition greenhouse by display module.
2. the control method of facade ventilating and thermal insulating global anti-wind system in greenhouse as described in claim 1, which is characterized in that
Deformation calculation model: Δ l=m × Ti is preset in the deformation calculation module, wherein Δ l is deformation quantity, and m is to calculate
Constant is positive number；Deformation upper limit value lmax, 0 < Δ l≤lmax are preset in deformation calculation module；In deformation calculation module
It is preset with deformation temperature difference mapping set, deformation temperature difference mapping set includes multiple subsets, each subset includes a temperature difference
With a deformation values；Deformation calculation module calculates greenhouse deformation data using calculation procedure according to the current temperature difference；Then it will obtain
Correspondence deformation values be input to central control module, central control module is by optimization module using optimization program according to temperature difference shape
Change is automatically repaired.
3. the control method of facade ventilating and thermal insulating global anti-wind system in greenhouse as described in claim 1, which is characterized in that
According to desired mean daily temperature and data of weather forecast China, following seven days optimal days are calculated using rolling optimization mode
Mean temperature, the frequency of rolling optimization are the performance function J1 that when rolling optimization uses once a day are as follows:
In formula, qtomηDMFMDMHar(TDi) indicate mean daily temperature on the i-thth for TDiWhen crop generate income, qtomIt indicates
Crop unit price, ηDMFMIndicate transforming factor of the fruit dry weight to fruit fresh weight, DMHarIndicate the fruit dry matter production of harvest,
qheatQheat(TDi) the i-th mean daily temperature of expression be TDiWhen heating energy consumption cost, qheatIndicate the unit price of heat energy,
QheatIndicate heating energy consumption,
The constraint condition used when rolling optimization includes accumulation temperature conditions on the seven and room temperature bound condition；
The same day hourly average temperature met under the optimal mean daily temperature constraint is calculated using rolling optimization mode, is rolled excellent
The frequency of change is the performance function J2 that when rolling optimization uses once every hour are as follows:
In formula, THjIndicate the hourly average temperature of jth hour；
The accumulation of constraint condition day the temperature condition, room temperature bound condition, mean temperature item on daytime used when rolling optimization
Part and adjacent hour temperature difference upper bound condition.
4. the control method of facade ventilating and thermal insulating global anti-wind system in greenhouse as described in claim 1, which is characterized in that it is logical to estimate greenhouse
Wind system state specifically:
Using the temperature value in data of weather forecast as outdoor temperature, by the outdoor temperature and frosting temperature and ventilation temperature into
Row compares, and the opening degree of ventilating system is obtained according to comparison result.
5. the control method of facade ventilating and thermal insulating global anti-wind system in greenhouse as described in claim 1, which is characterized in that in controllable greenhouse
It is mutually coordinated for principle with mutually coordinated and control measures between controllable greenhouse environmental factor when respective execution mechanisms；
When regulating and controlling to greenhouse, temperature control, humid control, light control, carbon dioxide control and ventilation control are specifically included
System.
6. the control method of facade ventilating and thermal insulating global anti-wind system in greenhouse as described in claim 1, which is characterized in that carried out to greenhouse
When regulation, weighted linear function T determines the movements of each control means, the expression formula of the weighted linear function T are as follows:
T(mco2,mT,mR,mH)=α × F (mco2set,mTset,mRset,mHset)+β·G(mco2in,mTin,mRin,mHin)+λ·H
(mTout,mRout,mHout,Fv,Prain)
In formula, T indicates specific control means, and F indicates that artificial setup parameter value function, G indicate indoor environment parameter, and H indicates room
External environment parameter, α, β, λ respectively indicate corresponding weight；mco2Indicate carbon dioxide releasing amount, mTIndicate target temperature, mRIt indicates
Illumination target emanation amount, mHIndicate target humidity, mco2setIndicate indoor carbon dioxide concentration set point, mTsetIndicate room temperature
Setting value, mRsetIndicate indoor illumination amount of radiation setting value, mHsetIndicate indoor humidity setting value, mco2inIndicate indoor titanium dioxide
Concentration of carbon, mTinIndicate room temperature, mRinIndicate indoor illumination amount of radiation, mHinIndicate indoor humidity, mco2outIndicate outdoor two
Aoxidize concentration of carbon, mToutIndicate outdoor temperature, mRoutIndicate that outdoor optical shines amount of radiation, mHoutIndicate outside humidity, Fv indicates outdoor
Wind speed, PrainIndicate outdoor rainfall.
7. a kind of control program of greenhouse facade ventilating and thermal insulating global anti-wind system, which is characterized in that the greenhouse facade ventilating and thermal insulating
The control program of global anti-wind system realizes the control of greenhouse facade ventilating and thermal insulating global anti-wind system described in claim 1~6 any one
Method processed.
8. a kind of terminal, which is characterized in that the terminal, which is carried, realizes that greenhouse facade described in claim 1~6 any one is logical
Wind keeps the temperature the controller of the control method of global anti-wind system.
9. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer is executed as weighed
Benefit requires the control method of facade ventilating and thermal insulating global anti-wind system in greenhouse described in 1-6 any one.
10. a kind of greenhouse facade ventilation of control method for implementing greenhouse facade ventilating and thermal insulating global anti-wind system described in claim 1
Keep the temperature global anti-wind system, which is characterized in that the greenhouse facade ventilating and thermal insulating global anti-wind system includes:
Temperature collecting module is connect with central control module, for acquiring greenhouse temperature data by temperature sensor；
Humidity collection module, connect with central control module, for acquiring chamber humidity data by humidity sensor；
Wind speed acquisition module, connect with central control module, for acquiring greenhouse ventilation air speed data by air velocity transducer；
Pressure acquisition module, connect with central control module, is hit pressure by wind for acquiring greenhouse by pressure sensor
Data；
Central control module, with temperature collecting module, humidity collection module, wind speed acquisition module, pressure acquisition module, deformation meter
Module, temperature prediction model building module, optimization module, alarm modules, greenhouse data memory module, display module connection are calculated,
It is worked normally for controlling modules by single-chip microcontroller；
Deformation calculation module, connect with central control module, for calculating greenhouse deformation data by calculation procedure；
Temperature prediction model constructs module, connect with central control module, for constructing greenhouse by data model construction procedures
Temperature prediction model；
Optimization module is connect with central control module, for being coordinated by optimization program optimization control kind greenhouse multiple-factor
Power-save operation；
Alarm modules are connect with central control module, for carrying out calculating police according to collected abnormal data by alarm device
Report notice；
Greenhouse data memory module, connect with central control module, for temperature, the humidity, wind by memory storage acquisition
Speed, deformation data；
Display module is connect with central control module, for showing temperature, humidity, wind speed, the shape in acquisition greenhouse by display
Parameter evidence.
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