CN110050673A - A kind of intelligent irrigation management system - Google Patents
A kind of intelligent irrigation management system Download PDFInfo
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- CN110050673A CN110050673A CN201910363189.3A CN201910363189A CN110050673A CN 110050673 A CN110050673 A CN 110050673A CN 201910363189 A CN201910363189 A CN 201910363189A CN 110050673 A CN110050673 A CN 110050673A
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- 238000003973 irrigation Methods 0.000 title claims abstract description 112
- 230000002262 irrigation Effects 0.000 title claims abstract description 112
- 239000002689 soil Substances 0.000 claims abstract description 74
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 68
- 230000005540 biological transmission Effects 0.000 claims abstract description 36
- 239000003621 irrigation water Substances 0.000 claims abstract description 32
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 claims abstract description 24
- 238000009736 wetting Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 8
- 239000003673 groundwater Substances 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 5
- 238000005259 measurement Methods 0.000 claims description 5
- 238000005286 illumination Methods 0.000 claims description 4
- 238000011160 research Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 description 19
- 238000000034 method Methods 0.000 description 11
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 8
- 238000004891 communication Methods 0.000 description 8
- 229910052744 lithium Inorganic materials 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 238000013316 zoning Methods 0.000 description 6
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- 230000005611 electricity Effects 0.000 description 4
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- 239000003990 capacitor Substances 0.000 description 3
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- 239000002699 waste material Substances 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000004146 energy storage Methods 0.000 description 2
- 238000009313 farming Methods 0.000 description 2
- 230000009123 feedback regulation Effects 0.000 description 2
- 238000009472 formulation Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000001154 acute effect Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
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- 230000008901 benefit Effects 0.000 description 1
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- 229910052729 chemical element Inorganic materials 0.000 description 1
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- 238000000576 coating method Methods 0.000 description 1
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- 238000005260 corrosion Methods 0.000 description 1
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- 230000004927 fusion Effects 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- 238000005457 optimization Methods 0.000 description 1
- 230000008635 plant growth Effects 0.000 description 1
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- 210000003462 vein Anatomy 0.000 description 1
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Classifications
-
- 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
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
- A01G25/167—Control by humidity of the soil itself or of devices simulating soil or of the atmosphere; Soil humidity sensors
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- Life Sciences & Earth Sciences (AREA)
- Soil Sciences (AREA)
- Engineering & Computer Science (AREA)
- Water Supply & Treatment (AREA)
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of intelligent irrigation management systems, including application management platform, cloud data center, wireless transmission platform and Intellisense platform；The application management platform includes intelligent terminal and irrigation management software；The Intellisense platform includes data acquisition controller, LoRa transmission module, soil moisture content sensor, soil temperature sensor, water level sensor, weather environment sensor, water pump and solenoid valve；The cloud data center includes Cloud Server, the cloud data center receives the collected information of Intellisense platform by wireless transmission platform, crop water forecast and Irrigation Forecast are generated according to collected information and preset irrigation water demand model, and it is transferred to irrigation management software, by the corresponding irrigation strategy of irrigation management Software Create.The present invention can be avoided the problems of the prior art, can require to set different pouring strategies to the different of pouring according to crops, realize personalized pour.
Description
Technical field
The present invention relates to field of agricultural irrigation, especially a kind of to be based on collected soil information, weather information, pass through work
It, being capable of the intelligent irrigation management system irrigated with water information of feedback regulation after object irrigation water demand model calculates.
Background technique
In China, agricultural water accounts for about the 63% of water total amount, and traditional agriculture Irrigation water resource waste is serious, so that
The effective rate of utilization of China's agricultural water is only 45% or so.China's agriculture field is since water utilization rate is low and arable land pipe
The problems such as managing low efficiency constrains the development of agricultural.It waters in irrigation period entirely with the experience of peasant and feeling, causes water resource
Serious waste also prevents crops from obtaining optimal growing environment, affects the yield and quality of crops.By manually into
Row agricultural management, not only working efficiency is low, heavy workload, but also cannot effectively carry out crop water condition monitoring for a long time,
It is unfavorable for the scientific management irrigated and the popularization of advanced irrigation technique.
As China's the contradiction of supply and demand for the water resource is becoming increasingly acute, agricultural water quota reduce the problem of become increasingly conspicuous, use is low
Energy consumption has obtained rapid popularization and application using drip irrigation and spray irrigation, slight irrigation as the automatic water-saving irrigation technique of representative, and agricultural is automatic
Change irrigation system to be changed from traditional sufficiently irrigating to insufficient irrigation.By carrying out automation control and optimization to irrigated area resource
Configuration can greatly improve the utilization rate of agricultural irrigation water, alleviate the status of China's water scarcity.
Summary of the invention
In view of this, the present invention provides a kind of intelligent irrigation management system, to solve problems of the prior art,
Irrigation water demand model can be passed through for each growing stage of variety classes crops according to different soils and climatic condition
It calculates and needs irrigation quantity, the intelligent irrigation management system that feedback regulation is irrigated with water information.
The invention adopts the following technical scheme:
A kind of intelligent irrigation management system, wherein including Intellisense platform, wireless transmission platform, cloud data center and
Application management platform；The Intellisense platform includes data acquisition controller, LoRa transmission module, data acquisition module and control
Terminal module processed；The data acquisition module includes soil moisture content sensor, soil temperature sensor, water level sensor, meteorology
Environmental sensor；The controlling terminal module includes water pump and solenoid valve, the solenoid valve be it is multiple, the multiple solenoid valve is equal
It is wirelessly connected with data acquisition controller；The wireless transmission platform includes GPRS network and 4G network；The cloud data center
Including Cloud Server, irrigation water demand model, crop water forecast and Irrigation Forecast；The irrigation water demand model according to
In Intellisense platform data collecting module collected to soil moisture content, the soil moisture, water level, weather information calculate automatically, send out
The forecast of cloth crop water and Irrigation Forecast；The application management platform includes irrigation management software and user terminal, the user
Terminal includes the end PC and mobile phone terminal.
Preferably, the Intellisense platform include data acquisition controller, LoRa transmission module, data acquisition module with
Controlling terminal module；The data acquisition module is for acquiring different depth soil water content data, different depth soil temperature
Degree evidence, implements the data such as wind speed, intensity of illumination at level of ground water data, atmospheric temperature, atmospheric humidity；The LoRa transmits mould
Block by data collecting module collected to data information data acquisition controller is wirelessly transmitted to by LoRa technology.
Preferably, the data that data acquisition controller is collected by the wireless transmission platform pass through GPRS network or 4G
Cloud Server of the network transmission into cloud data center.
Preferably, the Cloud Server will receive the collected letter of Intellisense platform by wireless transmission platform
Breath, automatically enters the irrigation water demand model；The irrigation water demand model is according to the information that receives and preset
Crop parameter generates Irrigation Forecast, and is transmitted to application management platform.
The Irrigation Forecast includes: prediction soil moisture content θiChange with time, when soil moisture content drop to it is suitable
When water content lower limit, by water-retaining quantity among field of soil crop irrigation wetting depth humidity, calculating in conjunction with the difference between water content lower limit value
Obtain crop single irrigation requirement, i.e. irrigating water quota；Finally according to Different Crop cultivated area in specific irrigated area, calculate
Obtain regional irrigation water requirement.
The crop single irrigation requirement predictor formula is as follows:
In formula, IIFor all kinds of crop single irrigation requirements, unit: m3/ mu；θfFor field capacity；θiTo predict soil
Water content；γ is the soil weight, unit: g/cm3, obtained according to actual measurement；HiFor irrigation wetting depth depth in specific growing stage,
Unit: m is estimated according to local crop.
The prediction soil moisture content θiCalculation formula are as follows:
In formula, θi-1For upper period soil moisture content；ETi-1For crop daily consumption of water (mm/d)；Ri-1For in calculation interval
Effective precipitation (mm) can use weather forecast data；Δ W is that irrigation wetting depth increases and increased water (mm), according to existing
Research achievement combines local crop estimation；Fi-1For deep subsoil leakage (mm), 0 is taken；H is irrigation wetting depth depth (mm), root
It is estimated according to local crop；γ is the soil weight, unit: g/cm3；Gi-1For crop utilization groundwater run off.
Preferably, the upper period soil moisture content θi-1It is right with it according to fixed point actual measurement soil moisture content value by computer
The image picture element attribute value fitting answered is found out, and computer program calls fitting function to obtain fit equation automatically, chooses phase relation
The number maximum fitting function in the side R carries out calculating determination.
The ETi-1It is to utilize reference evapotranspiration ET for crop daily consumption of water0It is calculated with crop coefficient kc；The ET0Pass through
Following formula is calculated:
Preferably, a, b, c are undetermined coefficient in above-mentioned formula, and being set as can input variable；Tmax、TminRespectively the same day is most
High, minimum gas, the data from the weather environment sensor of above-mentioned data collecting module collected；J is day ordinal number, such as January 12, J
=12；T is next mean daily temperature, the data from the weather environment sensor of above-mentioned data collecting module collected.
This method it is innovative traditional calculation method based on multiple meteorologic parameters is reduced to need to only to input precipitation,
Three highest temperature, lowest temperature parameters, the meteorologic parameter faced in the Irrigation Forecast greatly mitigated obtain difficult, type is more,
The problems such as input service amount is big.
As calculated prediction soil moisture content θi> soil irrigates critical point θkWhen, irrigation water demand model is sentenced automatically
It is disconnected to be not necessarily to irrigate, then it returns to model and continues to monitor.As calculated prediction soil moisture content θi< soil irrigates critical point θkWhen,
Irrigation water demand model, which judges automatically, to need to irrigate, and predicts regional irrigation water requirement by the calculating of following formula at this time:
W in formulatFor the zoning irrigation requirement of entitled t；AtFor the area of the zoning of entitled t, the area
Visual interpretation is carried out to area crops pattern of farming by remote sensing technology to calculate with supervised classification, self is learned by computer software
It practises, judgement determines；IiFor the duty in the i-th ten days.
Preferably, the application management platform is corresponding by irrigation management Software Create according to the Irrigation Forecast received
Irrigation strategy, the irrigation strategy are transmitted to control by remote transmission to data acquisition controller, then by LoRa transmission module
Terminal module processed, and at the same time irrigation strategy is sent to the user terminal, user can be checked simultaneously at the end PC with mobile phone terminal；Control
Terminal module opens or closes water pump and solenoid valve according to the order received.
Preferably, controlling terminal module uses wireless valve controller.The wireless valve controller includes controller shell
Body is provided with antenna and bracket on the controller housing, solar panel, the control is provided on the controller housing
Be provided in device shell processed lithium battery, boost module, accumulator, valve control relay, DC-DC module, MCU and LoRa without
Line communication module, the solar panel are connect with lithium battery, are charged for the lithium battery；The lithium battery respectively with institute
Boost module and DC-DC module electrical connection are stated, is that the boost module and DC-DC module are powered；The boost module, energy storage electricity
Road, valve control relay are sequentially connected electrically, and the valve control relay, LoRa wireless communication module are electric with the MCU
Connection；The antenna is connect with LoRa wireless communication module.
The irrigation management software not only can pass through irrigation water demand according to the collected data of Intellisense platform
Auto-building model irrigation strategy can also manually formulate irrigation strategy by user terminal；The artificial formulation irrigation strategy
Including water pump and solenoid valve open time, open number and irrigation quantity.
The invention has the benefit that
The present invention provides a kind of intelligent irrigation management system, automatically generates Optimum Irrigation plan by irrigation water demand model
Slightly, can more rationally, science utilization water resource, avoid water resource waste；The present invention realizes the intelligent irrigation automatically controlled,
It greatly improves labour productive forces and reduces labour cost.The present invention can be realized different depth soil moisture, different depth
The soil moisture, level of ground water, atmospheric temperature, atmospheric humidity, the automatic collection and transmission for implementing the data such as wind speed, intensity of illumination,
The workload for not only saving artificial field survey also ensures the continuous of data；By the way that live irrigation state is uploaded to mutually
Networked platforms, can be with real-time remote monitoring operating status；Irrigation strategy can be manually formulated, avoids acquiring or transmitting hair because of data
The case where raw failure is without can be carried out automatic irrigation generation.
The present invention provides a kind of crop daily consumption of water ETi-1Calculation method, this method formula required input parameter is only
Same day highest, the lowest temperature and next mean daily temperature, these data can simply can be obtained from weather station with weather forecast
It takes, parameter type and calculating process needed for simplifying original work object daily consumption of water general formula-Penman-Montieth equation.It should
System can according to the soil moisture content, the soil moisture, weather information real-time monitored, remote transmission into Cloud Server, in conjunction with
Plant growth demand is calculated by irrigation water demand model and needs irrigation quantity, and automatic formulate pours strategy, and control is irrigated,
Realize personalized pour.
Detailed description of the invention
Fig. 1 is flow chart of the method for the present invention；
Fig. 2 is the structural schematic diagram of wireless valve controller.
Fig. 3 is the structural block diagram of wireless valve controller.
Fig. 4 is the circuit diagram of wireless valve controller MCU module.
Fig. 5 is wireless valve controller booster circuit schematic diagram.
Fig. 6 is wireless valve controller solar charging circuit schematic diagram.
Fig. 7 is wireless valve controller valve control relay No. 1 pulse valve circuit diagram.
Fig. 8 is wireless valve controller valve control relay No. 2 pulse valve circuit diagram.
In figure: 1- controller housing；2- solar panel；3- antenna；4- bracket；5- wiring hole；101- application management
Platform；102- cloud data center；103- wireless transmission platform；104- Intellisense platform.
Specific embodiment
As shown in Figure 1, the present invention provides a kind of intelligent irrigation management system, including Intellisense platform 104, wireless transmission
Platform 103, cloud data center 102 and application management platform 101；The Intellisense platform include data acquisition controller,
LoRa transmission module, data acquisition module and controlling terminal module；The data acquisition module includes soil moisture content sensor, soil
Earth temperature sensor, water level sensor, weather environment sensor；The controlling terminal module includes water pump and solenoid valve, described
Solenoid valve be it is multiple, the multiple solenoid valve with data acquisition controller be wirelessly connected；The wireless transmission platform includes
GPRS network and 4G network；The cloud data center includes Cloud Server, irrigation water demand model, crop water forecast and fills
Irrigate forecast；The irrigation water demand model is according to the soil moisture content that data collecting module collected arrives in Intellisense platform, soil
Earth temperature, water level, weather information calculate automatically, the forecast of publication crop water and Irrigation Forecast；The application management platform includes
Irrigation management software and user terminal, the user terminal include the end PC and mobile phone terminal.
Intellisense platform includes data acquisition controller, LoRa transmission module, data acquisition module and controlling terminal mould
Block；The data acquisition module is for acquiring different depth soil water content data, different depth soil temperature data, underground
Waterlevel data, atmospheric humidity, implements the data such as wind speed, intensity of illumination at atmospheric temperature；The LoRa transmission module acquires data
The collected data information of module is wirelessly transmitted to data acquisition controller by LoRa technology.
In one embodiment, the data that data acquisition controller is collected by wireless transmission platform, pass through GPRS network
Or Cloud Server of the 4G network transmission into cloud data center.
In one embodiment, it is collected will to receive the Intellisense platform by wireless transmission platform for Cloud Server
Information automatically enters the irrigation water demand model；The irrigation water demand model is according to the information received and presets
Crop parameter generate Irrigation Forecast, and be transmitted to application management platform.
The Irrigation Forecast includes: prediction soil moisture content θiChange with time, when soil moisture content drop to it is suitable
When water content lower limit, by water-retaining quantity among field of soil crop irrigation wetting depth humidity, calculating in conjunction with the difference between water content lower limit value
Obtain crop single irrigation requirement, i.e. irrigating water quota；Finally according to Different Crop cultivated area in specific irrigated area, calculate
Obtain regional irrigation water requirement.
The crop single irrigation requirement predictor formula is as follows:
In formula, IIFor all kinds of crop single irrigation requirements, unit: m3/ mu；θfFor field capacity；θiTo predict soil
Water content；γ is the soil weight, unit: g/cm3, obtained according to actual measurement；HiFor irrigation wetting depth depth in specific growing stage,
Unit: m is estimated according to local crop.
The prediction soil moisture content θiCalculation formula are as follows:
In formula, θi-1For upper period soil moisture content；ETi-1For crop daily consumption of water (mm/d)；Ri-1For in calculation interval
Effective precipitation (mm) can use weather forecast data；Δ W is that irrigation wetting depth increases and increased water (mm), according to existing
Research achievement combines local crop estimation；Fi-1For deep subsoil leakage (mm), 0 is taken；H is irrigation wetting depth depth (mm), root
It is estimated according to local crop；γ is the soil weight, unit: g/cm3；Gi-1For crop utilization groundwater run off.
Preferably, the upper period soil moisture content θi-1It is right with it according to fixed point actual measurement soil moisture content value by computer
The image picture element attribute value fitting answered is found out, and computer program calls fitting function to obtain fit equation automatically, chooses phase relation
The number maximum fitting function in the side R carries out calculating determination.
This method is by computing unit soil moisture content variations different within the scope of remote sensing combination measured data zoning
Situation.The initial soil moisture content in irrigated area needed for system obtains system using the characteristic wavelengths raster data of Landsat8
Then satellite image is carried out the operation such as radiant correction, atmospheric correction and image enhancement, data fusion, to eliminate satellite by information
By being influenced, improve image resolution in imaging process, such as satellite velocities variation, atmosphere and clutter reflections and transmitting electromagnetic wave
Interaction, random noise, visible light wave range merge with panchromatic wave-band.After the processing to resulting satellite image,
Temperature vegetation is calculated by the normalized differential vegetation index (NDVI) of the characteristic wavelengths zoning of image, then by normalized differential vegetation index
Drought index (TVDI) establishes TVDI and the correlativity of monitoring soil moisture content between the two on the spot.
The raster data of the irrigated area current soil moisture content obtained by satellite image is made of pixel one by one, as
The size of member depends on the resolution ratio of image, each pixel represents one piece of area in composition irrigated area, because of present Landsat8
Resolution ratio can achieve 15m, it is assumed that the current soil moisture content in each pixel is the same, each picture in this way
Member is a basic computational ele- ment, is equivalent to and carries out discretization, i.e. cell subdivision to irrigated area.Then element characteristics analysis is carried out,
Current soil moisture content in pixel is known that by satellite image raster data.
The ETi-1It is to utilize reference evapotranspiration ET for crop daily consumption of water0It is calculated with crop coefficient kc.The present invention is to subtract
The workload of light model user of service, by ET0Prediction model and crop coefficient, the calculating of soil coefficient and prediction technique are brought into
Penman-Montieth equation, it may be determined that go out reference evapotranspiration ET0Computation model.The ET0It is counted by following formula
It calculates:
Preferably, a, b, c are undetermined coefficient in above-mentioned formula, and being set as can input variable；Tmax、TminRespectively the same day is most
High, minimum gas, the data from the weather environment sensor of above-mentioned data collecting module collected；J is day ordinal number, such as January 12, J
=12；T is next mean daily temperature, the data from the weather environment sensor of above-mentioned data collecting module collected.
As calculated prediction soil moisture content θi> soil irrigates critical point θkWhen, irrigation water demand model is sentenced automatically
It is disconnected to be not necessarily to irrigate, then it returns to model and continues to monitor.As calculated prediction soil moisture content θi< soil irrigates critical point θkWhen,
Irrigation water demand model, which judges automatically, to need to irrigate, and predicts regional irrigation water requirement by the calculating of following formula at this time:
W in formulatFor the zoning irrigation requirement of entitled t；AtFor the area of the zoning of entitled t, the area
Visual interpretation is carried out to area crops pattern of farming by remote sensing technology to calculate with supervised classification, self is learned by computer software
It practises, judgement determines；IiFor the duty in the i-th ten days.
Application management platform is according to the Irrigation Forecast received, by the corresponding irrigation strategy of irrigation management Software Create, institute
It states irrigation strategy and is transmitted to controlling terminal module by remote transmission to data acquisition controller, then by LoRa transmission module,
And at the same time irrigation strategy is sent to the user terminal, user can be checked simultaneously at the end PC with mobile phone terminal；Controlling terminal module root
According to the order received, water pump and solenoid valve are opened or closed.
Irrigation management software not only can pass through irrigation water demand model according to the collected data of Intellisense platform
Irrigation strategy is automatically generated, irrigation strategy can also manually be formulated by user terminal；The artificial formulation irrigation strategy includes
Water pump and solenoid valve open time open number and irrigation quantity.
Intellisense platform of the invention passes through soil moisture content sensor, soil temperature sensor, water level sensor acquisition
Soil moisture content, temperature and water level information, the weather environment information of weather environment sensor collection site, are controlled by data acquisition controller
Soil moisture content sensor, soil temperature sensor, water level sensor and meteorological environmental sensor carry out the acquisition of information, collect
Information data acquisition controller is transmitted to by LoRa transmission module.Pass through the GPRS network of wireless transmission platform, 4G network
Etc. the Cloud Server for sending information to cloud data center, cloud data center is according to collected information and preset irrigation water
Demand model generates crop water forecast and Irrigation Forecast, and is transferred to irrigation management software, by irrigation management Software Create phase
The irrigation strategy answered opens or closes solenoid valve according to irrigation strategy by intelligent terminal control irrigation management software, passes through electromagnetism
The pouring for opening or closing control water pump of valve.
As shown in Fig. 2-Fig. 8, in one embodiment, controlling terminal module uses wireless valve controller.Wireless valve
Controller includes controller housing 1, solar panel 2, antenna 3 and bracket 4, and antenna 3, branch are provided on controller housing 1
Frame 4 and solar panel 2 are provided with lithium battery, boost module, accumulator, valve control relay in controller housing 1
Device, DC-DC module, MCU and LoRa wireless communication module, solar panel 2 are connect with lithium battery, are filled for the lithium battery
Electricity；Lithium battery is electrically connected with boost module and DC-DC module respectively, is that boost module and DC-DC module are powered；Boost module,
Accumulator, valve control relay be sequentially connected electrically, valve control relay, LoRa wireless communication module with the MCU
Electrical connection；Antenna 3 is connect with LoRa wireless communication module.The wiring hole 5 of connection pulse valve is provided on bracket 4, bracket is circle
Cylinder metallic support, is provided with corrosion-inhibiting coating on bracket.
As shown in figure 4, MCU is STM8L152C8T6 chip.As shown in Figure 7, Figure 8, valve control relay includes 1 road arteries and veins
Rush valve circuit and No. 2 pulse valve circuits.No. 1 pulse valve circuit include capacitor C16, diode D5, relay S1, resistance R15,
R13, triode Q2, resistance R17, resistance R19, triode Q4, diode D7, D9, D11, relay S3, the cathode of capacitor C16
Ground connection, anode connect the cathode of diode D5, and the coil of capacitor C16, the cathode of diode D5 and relay S1 connect 12V electricity jointly
Pressure, anode, the relay S1 of diode D5 are commonly connected on the collector of triode Q2, the one end resistance R15 ground connection, the other end
The base stage of triode Q2, the H2+ signal wire of another termination MCU of resistance R13, the hair of triode Q2 are commonly connected to resistance R13
Emitter grounding.The plus earth of diode D7, the normally closed switch of cathode contact relay S1, the normally closed switch ground connection of relay S1；
The normal open switch of relay S1 connects 12V voltage.The plus earth of diode D9, the normally closed switch of cathode contact relay S3, relay
The normally closed switch of device S3 is grounded, and normal open switch connects 12V voltage.The cathode of diode D11 is connect jointly with the coil of relay S1
To 12V voltage, diode D11 is in parallel with relay S1, and the anode of diode D11 meets the collector of triode Q4, triode Q4
Emitter ground connection, base stage is separately connected one end of resistance R17, R19, the H2- signal end of another termination MCU of resistance R17, electricity
Hinder the other end ground connection of R19.
No. 2 pulse valve circuits include diode D6, relay S2, resistance R14, R16, triode Q3, resistance R18, resistance
R20, triode Q5, diode D8, D10, D12, relay S4.The one end resistance R14 connects H1+ signal end, and the other end connects respectively
The emitter of one end of connecting resistance R16 and the base stage of triode Q3, the resistance R16 other end and triode Q3 are grounded.Triode Q3
Collector connect with the coil of relay S2, diode D6 is in parallel with relay S2, and the cathode of diode D6 connects 12V voltage,
The normal open switch of relay S2 connects 12V voltage, and normally closed switch is grounded respectively and the cathode of diode D8, and the anode of diode D8 connects
Ground.Diode D12 is in parallel with relay S4, and the cathode of diode D12 connects 12V voltage, and the anode of diode D12 meets triode Q5
Collector, triode Q5 emitter ground connection, base stage distinguish connecting resistance R18 and R20 one end, another termination of resistance R18
H1- signal end, the other end ground connection of resistance R20.The normal open switch of relay S4 connects 12V voltage, normally closed switch ground connection.Resistance
The normally closed switch of the cathode contact relay S4 of D10, plus earth.
The LoRa wireless communication module of wireless valve controller will send MCU after the signal resolution received, after MCU processing under
Hair on or off valve instruction, at this time the circuits such as subsequent boosting, energy storage, relay cooperate sending it is positive/negative to pulse
To control pulse valve work.In normal operation, user can issue control by control centre according to environmental monitoring data
System order, by the opening and closing of wireless valve controller control valve door, when wireless valve controller is in the complete control of successful execution
The working condition of valve can be returned after order, if control centre was not received by the return command of equipment at 10 seconds or so, said
Bright order fails execution, at this moment can transmitting order to lower levels again.Wireless valve controller in normal state can by LoRa without
Line communication module timing uploads real time environmental data and valve state.
The present invention greatly optimizes existing irrigation system framework, has been greatly saved the investment of hardware cost, in each irrigation
Corresponding solenoid valve is arranged in node, realizes intelligent irrigation by the solenoid valve of the inlet of water pump.Pass through weather environment sensor
To on-site data gathering, the irrigation scheme of systematic science is formulated.By by the collected data of each sensor in scene and irrigation
State uploads to internet platform, can be with real-time remote monitoring operating status.Pass through irrigation water need according to collected data
Modulus type generates crop water forecast and Irrigation Forecast, judges whether to irrigate, and it is much for calculating irrigation intensity.This
The Irrigation Forecast of invention includes irrigating starting time, irrigation time, irrigation frequency, water etc..
Entire irrigation control process of the invention passes through the irrigation management software on mobile terminal on application management platform
It is remotely controlled, wirelessly remotely solenoid valve and data acquisition controller is controlled, it is flat using wireless transmission
Platform carries out data interaction on Cloud Server.The present invention realizes to field meteorologic parameter and irrigates the real-time acquisition of parameter.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (7)
1. a kind of intelligent irrigation management system, it is characterised in that: including in Intellisense platform, wireless transmission platform, cloud data
The heart and application management platform；The Intellisense platform includes data acquisition controller, LoRa transmission module, data acquisition module
With controlling terminal module；The data acquisition module include soil moisture content sensor, soil temperature sensor, water level sensor,
Weather environment sensor；The controlling terminal module includes water pump and solenoid valve, and the solenoid valve is multiple, the multiple electromagnetism
Valve is wirelessly connected with data acquisition controller；The wireless transmission platform includes GPRS network and 4G network；The cloud data
Center includes Cloud Server, irrigation water demand model, crop water forecast and Irrigation Forecast；The irrigation water demand model
According to data collecting module collected in Intellisense platform to soil moisture content, the soil moisture, water level, weather information count automatically
It calculates, the forecast of publication crop water and Irrigation Forecast；The application management platform includes irrigation management software and user terminal, described
User terminal includes the end PC and mobile phone terminal.
2. a kind of intelligent irrigation management system according to claim 1, it is characterised in that: the Intellisense platform includes
Data acquisition controller, LoRa transmission module, data acquisition module and controlling terminal module；The data acquisition module is for adopting
Collect different depth soil water content data, different depth soil temperature data, level of ground water data, atmospheric temperature, atmospheric moisture
Degree implements the data such as wind speed, intensity of illumination；The LoRa transmission module by data collecting module collected to data information pass through
LoRa technology is wirelessly transmitted to data acquisition controller.
3. a kind of intelligent irrigation management system according to claim 1, it is characterised in that: the wireless transmission platform will count
The data being collected into according to acquisition controller pass through the cloud service of GPRS network or 4G network transmission into cloud data center
Device.
4. a kind of intelligent irrigation management system according to claim 1, it is characterised in that: the Cloud Server will pass through nothing
Line transmission platform receives the collected information of Intellisense platform, automatically enters the irrigation water demand model；It is described
Irrigation water demand model generates Irrigation Forecast according to the information received and preset crop parameter, and is transmitted to application management
Platform.
5. a kind of intelligent irrigation management system according to claim 1, it is characterised in that: the Irrigation Forecast includes: pre-
Survey soil moisture content θiIt changes with time, when soil moisture content drops to appropriate aqueous amount lower limit, by soil field water holding
Crop irrigation wetting depth humidity in conjunction with the difference between water content lower limit value is measured, calculates and obtains crop single irrigation requirement, that is, fill
Water quota；Finally according to Different Crop cultivated area in specific irrigated area, calculates and obtain regional irrigation water requirement.
6. a kind of intelligent irrigation management system according to claim 5, it is characterised in that: the crop single crop structure
It is as follows to measure predictor formula:
In formula, IIFor all kinds of crop single irrigation requirements, unit: m3/ mu；θfFor field capacity；θiTo predict soil water-containing
Amount；γ is the soil weight, unit: g/cm3, obtained according to actual measurement；HiFor irrigation wetting depth depth in specific growing stage, unit:
M is estimated according to local crop.
7. a kind of intelligent irrigation management system according to claim 6, it is characterised in that: the prediction soil moisture content θi
Calculation formula are as follows:
In formula, θi-1For upper period soil moisture content；ETi-1For crop daily consumption of water (mm/d)；Ri-1It is effective in calculation interval
Rainfall (mm) can use weather forecast data；Δ W is that irrigation wetting depth increases and increased water (mm), according to existing research
Achievement combines local crop estimation；Fi-1For deep subsoil leakage (mm), 0 is taken；H is irrigation wetting depth depth (mm), according to working as
The estimation of ground crop；γ is the soil weight, unit: g/cm3；Gi-1For crop utilization groundwater run off.
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