CN109116827A - Heliogreenhouse water-fertilizer integral control method of irrigation and device based on Internet of Things - Google Patents
Heliogreenhouse water-fertilizer integral control method of irrigation and device based on Internet of Things Download PDFInfo
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- CN109116827A CN109116827A CN201811095803.4A CN201811095803A CN109116827A CN 109116827 A CN109116827 A CN 109116827A CN 201811095803 A CN201811095803 A CN 201811095803A CN 109116827 A CN109116827 A CN 109116827A
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- 230000002262 irrigation Effects 0.000 title claims abstract description 117
- 238000003973 irrigation Methods 0.000 title claims abstract description 117
- 239000003337 fertilizer Substances 0.000 title claims abstract description 74
- 238000000034 method Methods 0.000 title claims abstract description 47
- 239000002689 soil Substances 0.000 claims abstract description 137
- 230000005068 transpiration Effects 0.000 claims abstract description 100
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 51
- 239000011159 matrix material Substances 0.000 claims abstract description 41
- 238000012549 training Methods 0.000 claims abstract description 26
- 238000005286 illumination Methods 0.000 claims abstract description 18
- 210000003608 fece Anatomy 0.000 claims description 13
- 239000007788 liquid Substances 0.000 claims description 13
- 239000010871 livestock manure Substances 0.000 claims description 13
- 238000001514 detection method Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 7
- 230000006870 function Effects 0.000 claims description 6
- 230000001052 transient effect Effects 0.000 claims description 5
- 238000010845 search algorithm Methods 0.000 claims description 4
- 238000012706 support-vector machine Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 6
- 238000011161 development Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 241000208340 Araliaceae Species 0.000 description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
- 230000009605 growth rhythm Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 239000000758 substrate Substances 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 208000033748 Device issues Diseases 0.000 description 1
- 241000372132 Hydrometridae Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000004720 fertilization Effects 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000003621 irrigation water Substances 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000010025 steaming Methods 0.000 description 1
- 239000008400 supply water Substances 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
- 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]
- G05B19/4183—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] characterised by data acquisition, e.g. workpiece identification
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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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- Automation & Control Theory (AREA)
- General Engineering & Computer Science (AREA)
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- Cultivation Of Plants (AREA)
- Greenhouses (AREA)
Abstract
The embodiment of the present invention provides a kind of heliogreenhouse water-fertilizer integral control method of irrigation and device based on Internet of Things, this method comprises: obtaining the greenhouse meteorologic parameter and target matrix moisture information of heliogreenhouse, greenhouse meteorologic parameter includes air themperature information, air humidity information and illumination intensity information；Greenhouse meteorologic parameter is input in trained transpiration rate model, the transpiration rate of heliogreenhouse is obtained, trained transpiration rate model is based on the training of greenhouse meteorologic parameter and obtains；The soil humidity lower limit value of heliogreenhouse is obtained, soil humidity lower limit value is obtained according to target matrix moisture information and transpiration rate；The real-time soil humidity value for obtaining heliogreenhouse, goes out target irrigation scheme according to soil humidity lower limit value and real-time soil humidity value decision, for carrying out water-fertilizer integral irrigation control to the indoor crop of sunlight.The embodiment of the present invention improves the precision of the heliogreenhouse water-fertilizer integral irrigation control based on Internet of Things, improves the utility rate of water of water and fertilizer irrigation.
Description
Technical field
The present embodiments relate to agricultural irrigation technology more particularly to a kind of heliogreenhouse liquid manure based on Internet of Things
Integrated control method of irrigation and device.
Background technique
With the development of agricultural modernization, Irrigation and fertilization system is developing industrialized agriculture, water-saving agriculture and ecological agriculture etc.
The importance of aspect becomes increasingly conspicuous.Agricultural sustainable development is the target that modern agriculture is pursued, in order to improve liquid manure benefit in irrigation
With rate, reduces soil and be punished for being related to and disaster and protect environment, propose water-fertilizer integral concept.Water-fertilizer integral is to carry using water
Fertilizer and water are irrigated in soil or matrix simultaneously, substantially increase water and fertilizer utilization rate by body.
With the development of technology of Internet of things, in current water-fertilizer integral irrigation technique, greenhouse letter is comprehensively considered
It ceases with substrate water content and predicts that irrigation strategy is more and more important, it is more representational in numerous simulation models
Wageningen model and CROPWAT model etc..Especially CROPWAT model, function is more comprehensive, can to irrigation requirement into
The calculating of rower standard, moreover it is possible to assess the influence of different irrigation strategy and insufficient irrigation to crop yield.
However, since these systems are excessively many and diverse, information content to be treated is excessively huge, to the configuration requirement of system
It is relatively high, so that entire water-fertilizer integral control system is chronically at top load operating condition, reduces the performance of whole system and make
With the service life, the control precision for causing water-fertilizer integral to be irrigated is lower, and applicability is poor low with water-use efficiency.
Summary of the invention
In view of the problems of the existing technology, the embodiment of the invention provides a kind of heliogreenhouse liquid manure based on Internet of Things
Integrated control method of irrigation and device.
In a first aspect, the embodiment of the present invention provides a kind of heliogreenhouse water-fertilizer integral irrigation control side based on Internet of Things
Method, comprising:
The greenhouse meteorologic parameter and target matrix moisture information of heliogreenhouse are obtained, the greenhouse meteorologic parameter includes air
Temperature information, air humidity information and illumination intensity information；
The greenhouse meteorologic parameter is input in trained transpiration rate model, the transpiration speed of heliogreenhouse is obtained
Rate, the trained transpiration rate model are based on greenhouse meteorologic parameter training and obtain；
The soil humidity lower limit value of heliogreenhouse is obtained, the soil humidity lower limit value is believed according to the target matrix moisture
Breath and the transpiration rate obtain；
The real-time soil humidity value for obtaining heliogreenhouse, according to the soil humidity lower limit value and the real-time soil humidity
Value decision goes out target irrigation scheme, for carrying out water-fertilizer integral irrigation control to the indoor crop of sunlight.
Second aspect, the embodiment of the present invention provide a kind of heliogreenhouse water-fertilizer integral irrigation control dress based on Internet of Things
It sets, comprising:
Greenhouse parameter acquisition module, for obtaining the greenhouse meteorologic parameter and target matrix moisture information of heliogreenhouse, institute
Stating greenhouse meteorologic parameter includes air themperature information, air humidity information and illumination intensity information；
Transpiration rate detection module, for the greenhouse meteorologic parameter to be input in trained transpiration rate model,
The transpiration rate of heliogreenhouse is obtained, the trained transpiration rate model is based on greenhouse meteorologic parameter training and obtains；
Intelligent control module, for obtaining the soil humidity lower limit value of heliogreenhouse, the soil humidity lower limit value according to
The target matrix moisture information and the transpiration rate obtain；
Water supply in media detection module, for obtaining the real-time soil humidity value of heliogreenhouse, according under the soil humidity
Limit value and the real-time soil humidity value decision go out target irrigation scheme, for carrying out liquid manure one to the indoor crop of sunlight
Change irrigation control.
The third aspect, the embodiment of the present invention provides a kind of electronic equipment, including memory, processor and is stored in memory
Computer program that is upper and can running on a processor, is realized when the processor executes described program as first aspect provides
Method the step of.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating
Machine program is realized as provided by first aspect when the computer program is executed by processor the step of method.
A kind of heliogreenhouse water-fertilizer integral control method of irrigation and dress based on Internet of Things provided in an embodiment of the present invention
It sets, corresponding transpiration is acquired by air themperature information, air humidity information and the illumination intensity information in heliogreenhouse
Rate obtains the soil humidity lower limit of crop in conjunction with the target matrix moisture information of transpiration rate and sunlight indoor crops
Value, goes out corresponding irrigation scheme according to the soil humidity lower limit value of crop and real-time soil humidity value decision, improves based on object
The precision of the water-fertilizer integral irrigation control of networking, improves the utility rate of water of water and fertilizer irrigation, has reached water-saving result.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the stream of the heliogreenhouse water-fertilizer integral control method of irrigation provided in an embodiment of the present invention based on Internet of Things
Journey schematic diagram；
Fig. 2 is provided in an embodiment of the present invention based on deepness belief network-least square method supporting vector machine transpiration rate
The training flow diagram of model；
Fig. 3 is the knot of the heliogreenhouse water-fertilizer integral control device for irrigating provided in an embodiment of the present invention based on Internet of Things
Structure schematic diagram；
Fig. 4 is electronic devices structure schematic diagram provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
In heliogreenhouse water-fertilizer integral irrigation system, irrigation water management is an extremely complex task, this is
Because the water demand of crop is not only influenced by crop growth period, also by a variety of environment such as temperature, humidity, precipitation, transpiration
The influence of condition.A large amount of irrigation tests data show: the size and edaphic condition of crop irrigation quantity (including the soil texture, soil
Water content, structure and level of ground water etc.), meteorological condition (including solar radiation, gas epidemic disaster etc.), agricultural technology and irrigate row
Water measure etc. is related.The condition of crop energy normal growth is that the moisture content of planting environment is higher than certain value, and crop can just be obtained at this time
Obtain larger increment.
Fig. 1 is the stream of the heliogreenhouse water-fertilizer integral control method of irrigation provided in an embodiment of the present invention based on Internet of Things
Journey schematic diagram, as shown in Figure 1, the embodiment of the invention provides heliogreenhouse water-fertilizer integral irrigation control of the kind based on Internet of Things
Method, comprising:
Step 101, the greenhouse meteorologic parameter and target matrix moisture information of heliogreenhouse, the greenhouse meteorologic parameter are obtained
Including air themperature information, air humidity information and illumination intensity information；
Step 102, the greenhouse meteorologic parameter is input in trained transpiration rate model, obtains heliogreenhouse
Transpiration rate, the trained transpiration rate model are based on greenhouse meteorologic parameter training and obtain；
Step 103, the soil humidity lower limit value of heliogreenhouse is obtained, the soil humidity lower limit value is according to the target base
Matter moisture information and the transpiration rate obtain；
Step 104, the real-time soil humidity value for obtaining heliogreenhouse, according to the soil humidity lower limit value and it is described in real time
Soil humidity value decision goes out target irrigation scheme, for carrying out water-fertilizer integral irrigation control to the indoor crop of sunlight.
In embodiments of the present invention, in a step 101, first by being mounted on the indoor sensor of sunlight to sunlight
The greenhouse meteorologic parameter of room is monitored, and specifically, greenhouse air-temperature sensor is used to monitor the real-time temperature information of heliogreenhouse,
Chamber humidity sensor is used to monitor the real-time humidity information of heliogreenhouse, and greenhouse intensity of illumination sensor is for monitoring sunlight
The real-time lighting strength information of room, the information that all types of sensors monitor is uploaded to by way of network based on Internet of Things
Heliogreenhouse water-fertilizer integral control device for irrigating in, trained transpiration rate model and cultivation are provided in control device
The corresponding target matrix moisture information of crop matrix.Then, control device, which will receive greenhouse meteorologic parameter and be input to, trains
Transpiration rate model in, the transpiration rate of heliogreenhouse is calculated, at this point, control device is according to the indoor crop of sunlight
Type chooses corresponding target matrix moisture information, respective handling is carried out in conjunction with transpiration rate, for example, in the embodiment of the present invention
In, this is needed to carry out by built-in blur controller in the heliogreenhouse water-fertilizer integral control device for irrigating based on Internet of Things
The corresponding target matrix moisture information of the crop of water and fertilizer irrigation and transpiration rate are input in fuzzy controller, at blurring
Reason, obtains the corresponding soil humidity lower limit value of crop in the heliogreenhouse.At this point, the real-time soil humidity value monitored is uploaded
Into control system, control system compares real-time soil humidity value and soil humidity lower limit value, judges whether to crop
It is irrigated, if real-time soil humidity value at this time is less than or equal to soil humidity lower limit value, illustrates that the crop lacks in water shortage
Fertile state, control device will by remotely control in heliogreenhouse supply water accordingly, fertilizer battery valve for crop provides liquid manure
It irrigates, decision goes out corresponding irrigation scheme.In addition, the transpiration speed of the heliogreenhouse obtained by trained transpiration rate model
Rate changing value can analyze to obtain corresponding irrigation time, to obtain more optimized irrigation scheme.
In embodiments of the present invention, each sensor in heliogreenhouse keeps strong to the indoor temperature of temperature, humidity, illumination
Degree and soil humidity value etc. are continued to monitor, so that control system goes out phase according to the variation Real-time Decision of heliogreenhouse intrinsic parameter
The irrigation scheme answered, it is in addition to this, also settable for monitoring gas concentration lwevel in heliogreenhouse or crop leaf information
Sensor improves the accuracy of irrigation scheme.In embodiments of the present invention, the heliogreenhouse water-fertilizer integral based on Internet of Things fills
It irrigates control system and is sent related data in USB485 module by communication serial port, upper PC machine passes through TCP/IP communication agreement
It is communicated with USB485 module, so that upper PC machine and control device can mutually transmit data by Internet of Things, meanwhile, it is upper
PC machine and control device establish agreement, and upper PC machine is handled according to the information that control device issues, and feedback information is passed
Defeated to arrive control device, control device carries out corresponding control processing according to feedback information.
A kind of heliogreenhouse water-fertilizer integral control method of irrigation based on Internet of Things provided in an embodiment of the present invention, passes through
Air themperature information, air humidity information and illumination intensity information in heliogreenhouse acquire corresponding transpiration rate, then
The soil humidity lower limit value of crop is obtained in conjunction with the target matrix moisture information of transpiration rate and sunlight indoor crops, according to work
The soil humidity lower limit value of object and real-time soil humidity value decision go out corresponding irrigation scheme, improve the liquid manure based on Internet of Things
The precision of integrated irrigation control improves the utility rate of water of water and fertilizer irrigation, has reached water-saving result.
On the basis of the above embodiments, Fig. 2 is provided in an embodiment of the present invention based on deepness belief network-least square
The training flow diagram of the transpiration rate model of support vector machines, as shown in Fig. 2, the training provided in an embodiment of the present invention
Good transpiration rate model is obtained by following steps training:
Step 201, the feature vector that sample greenhouse meteorologic parameter is extracted by deepness belief network, obtains training sample
Collection；
Step 202, it according to the network structure of the hyper parameter of grid-search algorithms Optimized Least Square Support Vector, obtains
Least square method supporting vector machine to be trained；
Step 203, the training sample set is input in the least square method supporting vector machine to be trained, to described
Least square method supporting vector machine to be trained is trained, and the sample transpiration rate of the training sample set is obtained, to obtain
To the trained transpiration rate model；
Step 204, the greenhouse meteorologic parameter is input to the trained transpiration rate model, gets the steaming
Rise rate.
In embodiments of the present invention, it needs strong according to the indoor air themperature information of sunlight, air humidity information, illumination
Information and transpiration rate are spent, the transpiration rate model that deepness belief network DBN is combined with least square method supporting vector machine is established.
Before step 201, sample greenhouse meteorologic parameter is pre-processed first, information unrelated in parameter is gone by pretreatment
It removes, then, pretreated sample greenhouse meteorologic parameter is input in deepness belief network, to extract greenhouse meteorologic parameter
Feature vector, and using the feature vector extracted as the training sample set of least square method supporting vector machine.Sample will trained
This collection is input to before least square method supporting vector machine, by step 202, in conjunction with grid-search algorithms to least square support to
The network structure and parameters of hyper parameter in amount machine optimize.Super ginseng is set finally, training sample set is input to
In several least square method supporting vector machines, for being trained in least square method supporting vector machine, to obtain training sample set
Corresponding transpiration rate further obtains trained transpiration rate model.In addition, being carried out to the transpiration rate model after training
Test, by test result, whether the transpiration rate of the transpiration rate model prediction after training of judgement is accurate.
The embodiment of the present invention eliminates change by the multiple dimensioned feature vector for extracting greenhouse meteorologic parameter of deepness belief network
The correlation of amount to reduce the sample input of least square method supporting vector machine, and combines grid-search algorithms to hyper parameter
Network structure optimizes, and improves the predictive ability and generalization ability of model, so that the transpiration rate got is quicker
With it is accurate, improve the precision of water-fertilizer integral irrigation control.
On the basis of the above embodiments, the soil humidity lower limit value for obtaining heliogreenhouse, comprising:
The target matrix moisture information and the transpiration rate are blurred, and established according to Triangleshape grade of membership function
Result after blurring is converted by the fuzzy rule, gets the soil humidity lower limit value by fuzzy rule, with
For going out the target irrigation scheme with the real-time soil humidity value decision.
In embodiments of the present invention, mould is provided in the heliogreenhouse water-fertilizer integral irrigation control system based on Internet of Things
Fuzzy controllers convert correspondence for the transpiration rate that target matrix moisture information and trained transpiration rate model obtain first
Fuzzy subset, fuzzy rule is then constituted by hazy condition, and computational reasoning obtains the corresponding fuzzy relation of fuzzy rule,
I.e. fuzzy output is adjudicated, and converts precise volume by fuzzy quantity for it, to obtain soil humidity lower limit value, for real-time base
Matter humidity value decision goes out the target irrigation scheme.In embodiments of the present invention, target matrix moisture information and transpiration rate are made
Need the two to be converted to the subordinating degree function of fuzzy set, usually before using fuzzy control method for accurate input quantity
Subordinating degree function is using hanging bell, figure and triangle, in embodiments of the present invention, using triangle subordinating degree function calculation amount compared with
It is small, it can more rapidly get calculated result.
The embodiment of the present invention improves filling by the way that FUZZY ALGORITHMS FOR CONTROL to be introduced into water-fertilizer integral irrigation control system
The accuracy of the amount of irrigating control so that crop irrigation is more reasonable, while playing the effect for saving water resource, more conducively crop
Growth and development.
On the basis of the above embodiments, described to be determined according to the soil humidity lower limit value and the real-time soil humidity value
Plan goes out target irrigation scheme, for carrying out water-fertilizer integral irrigation control to the crop in heliogreenhouse, comprising:
By the soil humidity lower limit value and the transpiration rate, soil humidity upper limit value is set, it is wet according to the matrix
Degree lower limit value determines whether to irrigate the indoor crop of sunlight with the real-time soil humidity value, and according to the matrix
Top limit value of humidity, which determines, continues irrigation time, so that decision goes out the target irrigation scheme, for the indoor crop of sunlight
Carry out water-fertilizer integral irrigation control.
Further, on the basis of the above embodiments, described by the soil humidity lower limit value and described rising fast
Soil humidity upper limit value is arranged in rate, is determined whether according to the soil humidity lower limit value and the real-time soil humidity value to sunlight
The indoor crop of temperature is irrigated, and is determined according to the soil humidity upper limit value and continued irrigation time, so that decision is described out
Target irrigation method, for carrying out water-fertilizer integral irrigation control to the indoor crop of sunlight, comprising:
If the real-time soil humidity value is less than or equal to the soil humidity lower limit value, to the crop of heliogreenhouse into
Row water and fertilizer irrigation stops after the real-time soil humidity value is more than or equal to the soil humidity upper limit value to heliogreenhouse
Crop carries out water and fertilizer irrigation；
If the real-time soil humidity value is greater than the soil humidity lower limit value, water is not carried out to the crop of heliogreenhouse
Fertilizer is irrigated.
In embodiments of the present invention, by transpiration rate in soil humidity lower limit value and heliogreenhouse, in conjunction with heliogreenhouse
The growth rhythm of interior Different Crop, decision obtain the corresponding soil humidity upper limit value of crop.Soil humidity upper limit value and matrix are wet
Can be changed by transpiration rate between degree lower limit value and be adjusted so that the optimal irrigation effect of crop and water and fertilizer irrigation reach compared with
The state of balance, for example, after getting the soil humidity lower limit value of heliogreenhouse, by being compared with real-time soil humidity value
Compared with, judgement knows that real-time soil humidity value at this time is less than soil humidity lower limit value, then it controls corresponding liquid manure solenoid valve and opens,
Start to carry out continuing irrigation to the indoor crop of sunlight, meanwhile, persistently the real-time soil humidity value of crop is monitored, and
It is compared with soil humidity upper limit value, by carrying out comprehensive analysis to duration needed for transpiration rate and crop irrigation etc., certainly
Plan goes out corresponding irrigation scheme, i.e., stops irrigating after real-time soil humidity value reaches soil humidity upper limit value, and to matrix
Time needed for humidity is gradually decrease until the water and fertilizer irrigation of crop next time by transpiration, in the process, to crop
Irrigation volume is best suitable for its growth rhythm, while having reached water-saving fertilizer-saving effect.
The embodiment of the present invention passes through the corresponding soil humidity upper limit value of soil humidity lower limit value of setting crop, so that crop
In water and fertilizer irrigation, decision goes out corresponding irrigation scheme, the accuracy of irrigation volume control is improved, so that crop irrigation more adduction
Reason, while playing the effect for saving water resource, the more conducively growth and development of crop.
Fig. 3 is the knot of the heliogreenhouse water-fertilizer integral control device for irrigating provided in an embodiment of the present invention based on Internet of Things
Structure schematic diagram, as shown in figure 3, the embodiment of the invention provides a kind of, the heliogreenhouse water-fertilizer integral based on Internet of Things irrigates control
The structural schematic diagram of device processed, including greenhouse parameter acquisition module 301, transpiration rate detection module 302, intelligent control module
303 and water supply in media detection module 304, wherein greenhouse parameter acquisition module 301 is used to obtain the greenhouse meteorology ginseng of heliogreenhouse
Several and target matrix moisture information, the greenhouse meteorologic parameter includes air themperature information, air humidity information and intensity of illumination
Information；Transpiration rate detection module 302 is obtained for the greenhouse meteorologic parameter to be input in trained transpiration rate model
To the transpiration rate of heliogreenhouse, the trained transpiration rate model is based on greenhouse meteorologic parameter training and obtains；Intelligence
Energy control module 303 is used to obtain the soil humidity lower limit value of heliogreenhouse, and the soil humidity lower limit value is according to the target
Water supply in media information and the transpiration rate obtain；Water supply in media detection module 304 is used to obtain the real-time matrix of heliogreenhouse
Humidity value goes out target irrigation scheme according to the soil humidity lower limit value and the real-time soil humidity value decision, for day
The indoor crop of light temperature carries out water-fertilizer integral irrigation control.
In embodiments of the present invention, greenhouse parameter acquisition module 301 first carries out the greenhouse meteorologic parameter of heliogreenhouse
Monitoring, specifically, greenhouse parameter acquisition module 301 include that greenhouse air-temperature sensor, chamber humidity sensor and greenhouse illumination are strong
Sensor is spent, while the information that all types of sensors monitor is uploaded into transpiration rate detection module by way of network
In 302.The transpiration rate of heliogreenhouse is calculated in transpiration rate detection module 302, at this point, 303 basis of intelligent control module
The indoor agrotype of sunlight chooses corresponding target matrix moisture information, carries out respective handling in conjunction with transpiration rate, for example,
In embodiments of the present invention, this, is needed to carry out the crop of water and fertilizer irrigation by built-in blur controller in intelligent control module 303
Corresponding target matrix moisture information and transpiration rate are input in fuzzy controller, by Fuzzy processing, obtain the daylight
The corresponding soil humidity lower limit value of crop in greenhouse.At this point, the indoor matrix liquid manure detection module 304 of sunlight passes through substrate water
Sub-sensor gets real-time soil humidity value, and real-time soil humidity value and soil humidity lower limit value are compared, judgement
Whether crop is irrigated, if real-time soil humidity value at this time is less than or equal to soil humidity lower limit value, illustrates the crop
In water shortage fertilizer deficiency state, matrix liquid manure detection module 304 will be by remotely controlling water supply, fertilizer accordingly in heliogreenhouse
Battery valve provides water and fertilizer irrigation for crop, and decision goes out corresponding irrigation scheme.
A kind of heliogreenhouse water-fertilizer integral irrigation control side device based on Internet of Things provided in an embodiment of the present invention leads to
Air themperature information, air humidity information and the illumination intensity information crossed in heliogreenhouse acquire corresponding transpiration rate,
The soil humidity lower limit value of crop is obtained in conjunction with the target matrix moisture information of transpiration rate and sunlight indoor crops, according to
The soil humidity lower limit value of crop and real-time soil humidity value decision go out corresponding irrigation scheme, improve the water based on Internet of Things
The precision of fertile integration irrigation control, improves the utility rate of water of water and fertilizer irrigation, has reached water-saving result.
On the basis of the above embodiments, described device further includes main control box and water control equipment, in which:
The main control box refers to for sending corresponding control to water control equipment according to the target irrigation scheme
It enables, the main control box connects the water and controls equipment；
The water controls equipment, the corresponding control instruction sent for executing the main control box, for sunlight
Indoor crop carries out water-fertilizer integral irrigation control.
In embodiments of the present invention, main control box includes single-chip microcontroller, peripheral circuit and the output letter connecting with single-chip microcontroller
Number amplifying circuit, wherein transpiration rate model and fuzzy controller are provided in single-chip microcontroller.Firstly, the indoor sensing of sunlight
Corresponding data are uploaded to main control box by device, are obtained corresponding transpiration rate by transpiration rate model, are then transferred and pass through
The target matrix moisture information of the corresponding crop stored in the upper PC machine of USB485 module connection main control box, fuzzy controller
The soil humidity lower limit value of heliogreenhouse is calculated according to transpiration rate combining target water supply in media information.Meanwhile sunlight
Sensor in room uploads to real-time soil humidity value in the single-chip microcontroller of main control box, and single-chip microcontroller is according to soil humidity lower limit value
Go out corresponding target irrigation scheme with real-time soil humidity value decision, main control box is sent out target irrigation scheme by driving circuit
It is sent to the water control equipment of heliogreenhouse, water controls equipment and is controlled according to corresponding operation instruction water clock equipment,
Liquid manure solenoid valve is opened or closed, for carrying out water-fertilizer integral irrigation control to the indoor crop of sunlight.Of the invention real
It applies in example, memory can also be set on main control box, for storing the irrigation data of water-fertilizer integral irrigation, under improving
The accuracy once irrigated, while can also be studied in order to which operator transfers related data.In addition, in main control box
It is provided with display device, for showing the real-time weather of heliogreenhouse, the parameter of soil humidity and gas concentration lwevel.
A kind of heliogreenhouse water-fertilizer integral control device for irrigating based on Internet of Things provided in an embodiment of the present invention, passes through
Air themperature information, air humidity information and illumination intensity information in heliogreenhouse acquire corresponding transpiration rate, then
The soil humidity lower limit value of crop is obtained in conjunction with the target matrix moisture information of transpiration rate and sunlight indoor crops, according to work
The soil humidity lower limit value of object and real-time soil humidity value decision go out corresponding irrigation scheme, improve the liquid manure based on Internet of Things
The precision of integrated irrigation control improves the utility rate of water of water and fertilizer irrigation, has reached water-saving result.
On the basis of the above embodiments, described device is by wirelessly or non-wirelessly connecting upper PC machine.
In embodiments of the present invention, between main control box and upper PC machine by the way of wireless telecommunications or wire communication into
Transmission between row data is monitored and is controlled including the relevant device to water-fertilizer integrated irrigation, to realize number
According to the transmission of all datas such as acquisition, equipment control and parameter regulation.In addition, mobile terminal can also be arranged in the embodiment of the present invention
Telecommunication is carried out with upper PC machine, realizes the water-fertilizer integral irrigation control of packaged type.
The embodiment of the present invention makes long-range upper PC machine to heliogreenhouse liquid manure one by connection type wirelessly or non-wirelessly
Change control device for irrigating and carry out information transmission and control, improves practicability, reach water-saving fertilizer-saving, intelligent and efficient effect.
Device provided in an embodiment of the present invention is for executing above-mentioned each method embodiment, detailed process and detailed content
Above-mentioned each method embodiment is please referred to, details are not described herein again.
Fig. 4 is electronic devices structure schematic diagram provided in an embodiment of the present invention, as shown in figure 4, the electronic equipment can wrap
It includes: processor (processor) 401, communication interface (Communications Interface) 402, memory (memory)
403 and communication bus 404, wherein processor 401, communication interface 402, memory 403 are completed mutually by communication bus 404
Between communication.Processor 401 can call the logical order in memory 403, to execute following method: obtaining heliogreenhouse
Greenhouse meteorologic parameter and target matrix moisture information, the greenhouse meteorologic parameter include air themperature information, air humidity information
And illumination intensity information；The greenhouse meteorologic parameter is input in trained transpiration rate model, heliogreenhouse is obtained
Transpiration rate, the trained transpiration rate model are based on greenhouse meteorologic parameter training and obtain；Obtain heliogreenhouse
Soil humidity lower limit value, the soil humidity lower limit value are obtained according to the target matrix moisture information and the transpiration rate；
The real-time soil humidity value for obtaining heliogreenhouse, goes out according to the soil humidity lower limit value and the real-time soil humidity value decision
Target irrigation scheme, for carrying out water-fertilizer integral irrigation control to the indoor crop of sunlight.
In addition, the logical order in above-mentioned memory 403 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
Substantially the part of the part that contributes to existing technology or the technical solution can be in other words for the technical solution of invention
The form of software product embodies, which is stored in a storage medium, including some instructions to
So that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation of the present invention
The all or part of the steps of example the method.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. it is various
It can store the medium of program code.
The embodiment of the present invention discloses a kind of computer program product, and the computer program product is non-transient including being stored in
Computer program on computer readable storage medium, the computer program include program instruction, when described program instructs quilt
When computer executes, computer is able to carry out method provided by above-mentioned each method embodiment, for example, obtains heliogreenhouse
Greenhouse meteorologic parameter and target matrix moisture information, the greenhouse meteorologic parameter include air themperature information, air humidity letter
Breath and illumination intensity information；The greenhouse meteorologic parameter is input in trained transpiration rate model, heliogreenhouse is obtained
Transpiration rate, the trained transpiration rate model be based on the greenhouse meteorologic parameter training obtain；Obtain heliogreenhouse
Soil humidity lower limit value, the soil humidity lower limit value obtains according to the target matrix moisture information and the transpiration rate
It arrives；The real-time soil humidity value for obtaining heliogreenhouse, determines according to the soil humidity lower limit value and the real-time soil humidity value
Plan goes out target irrigation scheme, for carrying out water-fertilizer integral irrigation control to the indoor crop of sunlight.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage medium
The instruction of matter storage server, the computer instruction make computer execute the sunlight based on Internet of Things provided by above-described embodiment
Room water-fertilizer integral control method of irrigation, for example, obtain the greenhouse meteorologic parameter and target matrix moisture letter of heliogreenhouse
Breath, the greenhouse meteorologic parameter includes air themperature information, air humidity information and illumination intensity information；The greenhouse is meteorological
Parameter is input in trained transpiration rate model, obtains the transpiration rate of heliogreenhouse, the trained transpiration rate
Model is based on greenhouse meteorologic parameter training and obtains；The soil humidity lower limit value for obtaining heliogreenhouse, under the soil humidity
Limit value is obtained according to the target matrix moisture information and the transpiration rate；The real-time soil humidity value of heliogreenhouse is obtained,
Go out target irrigation scheme according to the soil humidity lower limit value and the real-time soil humidity value decision, for in heliogreenhouse
Crop carry out water-fertilizer integral irrigation control.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of heliogreenhouse water-fertilizer integral control method of irrigation based on Internet of Things characterized by comprising
The greenhouse meteorologic parameter and target matrix moisture information of heliogreenhouse are obtained, the greenhouse meteorologic parameter includes air themperature
Information, air humidity information and illumination intensity information；
The greenhouse meteorologic parameter is input in trained transpiration rate model, the transpiration rate of heliogreenhouse, institute are obtained
Trained transpiration rate model is stated to obtain based on greenhouse meteorologic parameter training；
Obtain the soil humidity lower limit value of heliogreenhouse, the soil humidity lower limit value according to the target matrix moisture information and
The transpiration rate obtains；
The real-time soil humidity value for obtaining heliogreenhouse, determines according to the soil humidity lower limit value and the real-time soil humidity value
Plan goes out target irrigation scheme, for carrying out water-fertilizer integral irrigation control to the indoor crop of sunlight.
2. the method according to claim 1, wherein the trained transpiration rate model passes through following steps
Training obtains:
The feature vector that sample greenhouse meteorologic parameter is extracted by deepness belief network, obtains training sample set；
According to the network structure of the hyper parameter of grid-search algorithms Optimized Least Square Support Vector, minimum to be trained is obtained
Two multiply support vector machines；
The training sample set is input in the least square method supporting vector machine to be trained, to the minimum to be trained
Two, which multiply support vector machines, is trained, and obtains the sample transpiration rate of the training sample set, to get described train
Transpiration rate model；
The greenhouse meteorologic parameter is input to the trained transpiration rate model, gets the transpiration rate.
3. the method according to claim 1, wherein the soil humidity lower limit value for obtaining heliogreenhouse, packet
It includes:
The target matrix moisture information and the transpiration rate are blurred, and is established and is obscured according to Triangleshape grade of membership function
Result after blurring is converted by the fuzzy rule, gets the soil humidity lower limit value by rule, for
The real-time soil humidity value decision goes out the target irrigation scheme.
4. the method according to claim 1, wherein described according to the soil humidity lower limit value and described real-time
Soil humidity value decision goes out target irrigation scheme, for carrying out water-fertilizer integral irrigation control, packet to the crop in heliogreenhouse
It includes:
Soil humidity upper limit value is set by the soil humidity lower limit value and the transpiration rate, according under the soil humidity
Limit value determines whether to irrigate the indoor crop of sunlight with the real-time soil humidity value, and according to the soil humidity
Upper limit value, which determines, continues irrigation time, so that decision goes out the target irrigation scheme, for carrying out to the indoor crop of sunlight
Water-fertilizer integral irrigation control.
5. according to the method described in claim 4, it is characterized in that, described pass through the soil humidity lower limit value and the transpiration
Soil humidity upper limit value is arranged in rate, is determined whether according to the soil humidity lower limit value and the real-time soil humidity value to sun
The indoor crop of light temperature is irrigated, and is determined according to the soil humidity upper limit value and continued irrigation time, so that decision goes out institute
Target irrigation method is stated, for carrying out water-fertilizer integral irrigation control to the indoor crop of sunlight, comprising:
If the real-time soil humidity value is less than or equal to the soil humidity lower limit value, water is carried out to the crop of heliogreenhouse
Fertilizer is irrigated, and after the real-time soil humidity value is more than or equal to the soil humidity upper limit value, stops the crop to heliogreenhouse
Carry out water and fertilizer irrigation；
If the real-time soil humidity value is greater than the soil humidity lower limit value, liquid manure filling is not carried out to the crop of heliogreenhouse
It irrigates.
6. a kind of based on any heliogreenhouse water-fertilizer integral control method of irrigation based on Internet of Things of claim 1 to 5
Control device characterized by comprising
Greenhouse parameter acquisition module, for obtaining the greenhouse meteorologic parameter and target matrix moisture information of heliogreenhouse, the temperature
Room meteorologic parameter includes air themperature information, air humidity information and illumination intensity information；
Transpiration rate detection module is obtained for the greenhouse meteorologic parameter to be input in trained transpiration rate model
The transpiration rate of heliogreenhouse, the trained transpiration rate model are based on greenhouse meteorologic parameter training and obtain；
Intelligent control module, for obtaining the soil humidity lower limit value of heliogreenhouse, the soil humidity lower limit value is according to
Target matrix moisture information and the transpiration rate obtain；
Water supply in media detection module, for obtaining the real-time soil humidity value of heliogreenhouse, according to the soil humidity lower limit value
Go out target irrigation scheme with the real-time soil humidity value decision, for carrying out water-fertilizer integral filling to the indoor crop of sunlight
Irrigate control.
7. device according to claim 6, which is characterized in that described device further includes that main control box and water control are set
It is standby, in which:
The main control box, for sending corresponding control instruction to water control equipment according to the target irrigation scheme,
The main control box connects the water and controls equipment；
The water controls equipment, the corresponding control instruction sent for executing the main control box, for in heliogreenhouse
Crop carry out water-fertilizer integral irrigation control.
8. device according to claim 6, which is characterized in that described device is by wirelessly or non-wirelessly connecting upper PC machine.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor is realized when executing described program such as any one of claim 1 to 5 the method
Step.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer
It is realized when program is executed by processor such as the step of any one of claim 1 to 5 the method.
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