CN107087539A - A kind of fruits and vegetables Intelligent irrigation system based on Internet of Things - Google Patents
A kind of fruits and vegetables Intelligent irrigation system based on Internet of Things Download PDFInfo
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- CN107087539A CN107087539A CN201710391674.2A CN201710391674A CN107087539A CN 107087539 A CN107087539 A CN 107087539A CN 201710391674 A CN201710391674 A CN 201710391674A CN 107087539 A CN107087539 A CN 107087539A
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- 238000003973 irrigation Methods 0.000 title claims abstract description 86
- 230000002262 irrigation Effects 0.000 title claims abstract description 86
- 235000012055 fruits and vegetables Nutrition 0.000 title claims abstract description 30
- 238000004891 communication Methods 0.000 claims abstract description 64
- 239000002689 soil Substances 0.000 claims abstract description 56
- 238000001514 detection method Methods 0.000 claims abstract description 19
- 230000015654 memory Effects 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 18
- 238000013480 data collection Methods 0.000 claims abstract description 9
- 238000005286 illumination Methods 0.000 claims abstract description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 50
- 235000013399 edible fruits Nutrition 0.000 claims description 45
- 235000013311 vegetables Nutrition 0.000 claims description 45
- 230000005068 transpiration Effects 0.000 claims description 10
- 230000003698 anagen phase Effects 0.000 claims description 9
- 239000003673 groundwater Substances 0.000 claims description 8
- 238000001556 precipitation Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 5
- 230000007613 environmental effect Effects 0.000 claims description 5
- 238000010276 construction Methods 0.000 claims description 3
- 239000003337 fertilizer Substances 0.000 claims description 3
- 230000004907 flux Effects 0.000 claims description 3
- 230000008595 infiltration Effects 0.000 claims description 3
- 238000001764 infiltration Methods 0.000 claims description 3
- 230000005855 radiation Effects 0.000 claims description 3
- 230000010365 information processing Effects 0.000 claims description 2
- 238000005303 weighing Methods 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 abstract description 5
- 230000002354 daily effect Effects 0.000 description 9
- 238000000034 method Methods 0.000 description 7
- 241000196324 Embryophyta Species 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000011897 real-time detection Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 210000003608 fece Anatomy 0.000 description 2
- 230000012010 growth Effects 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 239000010871 livestock manure Substances 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000005325 percolation Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 241000219068 Actinidia Species 0.000 description 1
- 244000298715 Actinidia chinensis Species 0.000 description 1
- 235000009434 Actinidia chinensis Nutrition 0.000 description 1
- 235000009436 Actinidia deliciosa Nutrition 0.000 description 1
- 240000004658 Medicago sativa Species 0.000 description 1
- 235000017587 Medicago sativa ssp. sativa Nutrition 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 235000021028 berry Nutrition 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 239000003595 mist Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 238000010561 standard procedure Methods 0.000 description 1
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P60/00—Technologies relating to agriculture, livestock or agroalimentary industries
- Y02P60/12—Technologies relating to agriculture, livestock or agroalimentary industries using renewable energies, e.g. solar water pumping
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- Agronomy & Crop Science (AREA)
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Abstract
The invention discloses a kind of fruits and vegetables Intelligent irrigation system based on Internet of Things, including context detection module, data collection station, intelligent irrigation policy server and the irrigation control terminal being sequentially connected;Environment monitoring module includes soil temperature-moisture sensor, intensity of illumination detector and rainfall detection instrument;Data collection station, including the first cpu central processing unit and the first communication module, A/D module, sun-generated electric power and the memory module that are connected respectively with the first cpu central processing unit;Intelligent irrigation policy server, including irrigation decision inference machine and connected memory module and computing module;Irrigation control terminal, including the second cpu central processing unit and the control module, second communication module, the A/D module that are connected by pci bus with the second cpu central processing unit.
Description
Technical field
The invention belongs to the technical field of fruits and vegetables intelligent irrigation, and in particular to a kind of fruits and vegetables intelligent irrigation based on Internet of Things
System.
Background technology
Realize agriculture scale, high yield, high-quality, efficiently produce, must just use advanced industrialization and informationization
The mode of production is controlled and managed to the implementation Process of agricultural production.But there is systemic-function in the irrigation of domestic existing wisdom agricultural
It is single, the problems such as small grade of data message amount is not enough.
Prior art is irrigated fruits and vegetables using the rainwater after filtering, can save substantial amounts of water resource;Or according to
The humidity value of family setting controls the humidity of soil, to solve the problem of crop automatic irrigation is conserved;And can realize to fruits and vegetables
The intelligent irrigation inside and outside root is carried out Deng plant, its spray particle diameter is small, mist amount is big, haze covering diameter is big, can effectively cover whole
Plant.
But these above-mentioned existing irrigation methods are mostly simple for the purpose of water saving, use and fill at regular time and quantity on irrigation method
Irrigate or only simple do not consider Different Crop in different growths using soil moisture threshold values as foundation, existing patented technology is irrigated
The water requirement in stage is different, and the dynamic factors such as rainfall, crop transpirstion amount and Soil percolation are not considered yet, and these have
Irrigation method has been difficult the technology of Internet of things and artificial intelligence technology paces for keeping up with fast development.
The content of the invention
It is an object of the invention to for above-mentioned deficiency of the prior art, there is provided a kind of fruits and vegetables intelligence based on Internet of Things
Irrigation system, the dynamic such as rainfall, crop transpirstion amount and Soil percolation is not associated with to solve existing fruits and vegetables Intelligent irrigation system
The problem of factor.
To reach above-mentioned purpose, the present invention is adopted the technical scheme that:
A kind of fruits and vegetables Intelligent irrigation system based on Internet of Things, including
Context detection module, for detect, gather and transmit the environment temperature around fruits and vegetables local environment, soil temperature and humidity, too
The information of positive intensity of illumination and rainfall;
Data collection station, receives the environmental information of context detection module collection, and the environmental information processing of receiving is converted and passed
Send;
Intelligent irrigation policy server, including:
Memory module, including the different fruit trees and vegetables that are stored with most preferably are needing the need of water fertilizer requirement data needed for different growth phases
Water needs fertile database;With ambient parameter number of the different fruit trees and vegetables in the suitable environment parameter needed for different growth phases that be stored with
According to storehouse;
Computing module, by simulating the precipitation of fruit trees and vegetables local environment, run-off, the infiltration capacity of soil moisture, underground water
Relation between increment and specific fruit trees and vegetables moisture transpiration amount, puts down for meeting different fruit trees and vegetables to the revenue and expenditure of moisture
Weighing apparatus, computing module internal construction has soil water balance model, calculates core formula and is:
I+P+G=ETc+D+R+△W
Wherein, I is irrigation volume, and P is precipitation, and G is the increment of groundwater, and ETc is reference crop transpiration rate, and D is soil moisture
Leakage, R is run-off, and △ W are the variable quantity of effective soil water;
With Crop transpirstion model, its calculation formula is:
ETc=f(△,es,ea,ea,R n ,Gt, γ,μ 2)
f=K*(0.46Tmean+8)
Wherein, f is correction factor, and △ is the slope on saturation vapour pressure-temperature curve(kpa/oC), esFor saturation vapour pressure
(kpa), eaFor the actual vapour pressure of air(kpa), Rn is the net radiation of plant surface(MJ/m2.d), Gt is soil heat flux
(oC), γ is hygrometer constant(kpa/oC), μ2For the mean wind speed at 2 meters from the ground(M/s), Tmean is mean daily temperature
(℃), the daily average percent of sunshine hour in year that K draws for the latitude of planting site and specific time;
And irrigation decision inference machine, according to different fruit trees and vegetables, reading needs water to need correspondence fruit trees and vegetables in fertile data module to need
Water needs the suitable environment parameter needed for correspondence fruit trees and vegetables in fertile data and ambient parameter data module, and coordinates soil moisture to put down
Weigh the balance between revenue and expenditure of model and Crop transpirstion modeling to fruit trees and vegetables moisture, during pouring to predict and judge fruit trees and vegetables
Between, pour number of times and irrigation amount, wherein, daily pouring total amount calculation formula is:
I=Ix+P+Py-Ic-R-D-ETc
Wherein, I be daily pouring total amount, Ix be reference crop different growth phases water requirement, Ix directly from need water need
Extracted in fertile data module, P is the existing rainfall after irrigating the last time that sensor is measured, Py estimates according to weather forecast
Following several days rainfall, Ic is the soil moisture that sensor is measured in real time, and ETc is crop transpirstion amount, and D is leakage, and R is footpath
Flow;
And irrigation control terminal, the watering time for the fruit trees and vegetables that reception intelligent irrigation policy server is predicted and judged,
The information such as number of times and irrigation amount is poured, and controls to complete the irrigation to fruit trees and vegetables.
Preferably, context detection module includes soil temperature-moisture sensor, intensity of illumination detector and rainfall detection instrument.
Preferably, data collection station includes the first central processing unit and be connected respectively with the first central processing unit first
Communication module, A/D module, sun-generated electric power and memory module.
Preferably, first communication module is serial including RS232 serial communication modules, RS485 serial communication modules, RS422
Communication module, WIFI communication modules 305,2G 3G 4G mobile data communication modules and Ethernet ethernet communication modules, its
It is connected by pci bus with the first central processing unit;The memory module includes SDRAM running memories module and FLASH flash memories
Module.
Preferably, RS232 serial communication modules, RS485 serial communication modules, RS422 serial communication modules respectively with ring
Soil temperature-moisture sensor, intensity of illumination detector and rainfall detection instrument serial communication in the detection module of border.
Preferably, WIFI communication modules, 2G 3G 4G mobile data communication modules, Ethernet ethernet communications module with
Intelligent irrigation policy server realizes communication.
Preferably, irrigation control terminal includes the second central processing unit and connected by pci bus and the second central processing unit
Control module, second communication module, the A/D module connect.
Preferably, control module includes Relay relay control modules, DO numeral outputs control module, DI numeral inputs
Module.
Preferably, second communication module include WIFI communication modules, 2G 3G 4G mobile data communication modules, Ethernet
Ethernet communication module.
The fruits and vegetables Intelligent irrigation system based on Internet of Things that the present invention is provided, has the advantages that:
The present invention, which is set up, needs water to need fertile data module and ambient parameter data module, for storing fruit trees and vegetables in different lifes
Long stage and varying environment and pass through soil water balance model and Crop transpirstion mould for the optimum data of liquid manure amount demand
Type, with reference to and simulate the precipitation of fruit trees and vegetables local environment, run-off, the infiltration capacity of soil moisture, the increment of groundwater and
Relation between specific fruit trees and vegetables moisture transpiration amount, realizes balance between revenue and expenditure of the fruit trees and vegetables to moisture;Show that fruits and vegetables are made simultaneously
The optimal irrigation strategy of thing, its optimal irrigation strategy specific to every day watering time, pour number of times and irrigation amount, except this,
Draw after optimal pouring strategy, this strategy is sent to block client, perform and complete last water and fertilizer irrigation and economized on water in guarantee
While, it also ensure that the optimum growh state of fruit trees and vegetables.
Present inventive concept is ingenious, the real-time detection by environment monitoring module to the ambient parameter of fruit trees and vegetables local environment
Collection, and coordinate being used in conjunction with for multiple modules in intelligent irrigation policy server and multiple models, draw optimal pouring
Strategy, with very strong practicality and generalization.
Brief description of the drawings
Fig. 1 is the theory diagram of the fruits and vegetables Intelligent irrigation system based on Internet of Things.
Fig. 2 is the theory diagram of the fruits and vegetables Intelligent irrigation system intelligent irrigation policy server based on Internet of Things.
Fig. 3 is the theory diagram of the fruits and vegetables Intelligent irrigation system data collection station based on Internet of Things.
Fig. 4 is the theory diagram of the fruits and vegetables Intelligent irrigation system irrigation control terminal based on Internet of Things.
Fig. 5 is the theory diagram of the fruits and vegetables Intelligent irrigation system irrigation decision inference machine based on Internet of Things.
Embodiment
The embodiment to technical scheme is described in detail below in conjunction with the accompanying drawings:
According to one embodiment of the application, as Figure 1-5, the fruits and vegetables Intelligent irrigation system based on Internet of Things of this programme,
Including the context detection module being sequentially connected, data collection station, intelligent irrigation policy server and irrigation control terminal.
Environment monitoring module, including soil temperature-moisture sensor, intensity of illumination detector and rainfall detection instrument, in real time detection
The informations parameter such as environment temperature, soil temperature and humidity, Intensity of the sunlight and the rainfall of fruit trees and vegetables local environment, and will detection
To above-mentioned parameter be sent to data collection station.
Data collection station, including the first central processing unit and be connected respectively with the first central processing unit first communication mould
Block, A/D module, sun-generated electric power and memory module.
Wherein, first communication module serially leads to including RS232 serial communication modules, RS485 serial communication modules, RS422
Believe module, WIFI communication modules 305,2G 3G 4G mobile data communication modules, Ethernet ethernet communication modules, it passes through
Pci bus is connected with the first central processing unit, and memory module includes SDRAM running memories module and FLASH flash memory modules.
In RS232 serial communication modules, RS485 serial communication modules, RS422 serial communication modules and context detection module
Soil temperature-moisture sensor, intensity of illumination detector and rainfall detection instrument serial communication, the ring of transmission environment monitoring module collection
Border parameter.
WIFI communication modules, 2G 3G 4G mobile data communication modules, Ethernet ethernet communications module with intelligence fill
Irrigate policy server and realize communication, the ambient parameter information after conversion is sent in intelligent irrigation policy server.
Intelligent irrigation policy server, including irrigation decision inference machine and connected memory module and computing module.
Wherein, memory module includes needing water to need fertile database and ambient parameter data storehouse.
Water is needed to need fertile databases to contain different fruit trees and vegetables in optimal demand data of the different growth phases to liquid manure.
Ambient parameter data storehouse, its memory storage difference fruit trees and vegetables are in the suitable environment parameter needed for different growth phases.
Computing module internal construction has soil water balance model and Crop transpirstion model.
Soil water balance model, is oozed by simulating the precipitation of fruit trees and vegetables local environment, run-off, soil moisture
Relation between penetration, the increment of groundwater and specific fruit trees and vegetables moisture transpiration amount, for meeting different fruit trees and vegetables to water
Point balance between revenue and expenditure, its calculate core formula be:
I+P+G=ETc+D+R+△W
Wherein, I is irrigation volume, unit mm;P is precipitation, unit mm;G is the increment of groundwater, unit mm;ETc is with reference to work
Thing transpiration rate, unit mm;D is the leakage of soil moisture, unit mm;R is run-off, unit mm;△ W are effective soil water
Variable quantity, unit mm.
Wherein, increment of groundwater G refers to local conditions, level of ground water is relatively low, underground water buries deeper situation
Under, it is believed that the increment of groundwater is 0.Knowable to soil water leakage amount D analog study result, the soil water leakage of 1m soil layers
In addition to individual other time, zero is generally equal to.Soil water balance model is the basis of intelligent irrigation, but pure soil
Earth water balance model cannot be directly used to seek irrigation volume, because it does not reflect the demand of reference crop, also not consider not
Come the rain fall of two days, and the effective soil water and real sensor measured value calculated according to soil water balance model,
Have certain deviation, it is therefore desirable to which combining environmental detection module measured value is modified to it so that soil water balance model
It is more scientific and reasonable.
Crop transpirstion model, simulates and calculates specific transpiration rate of the fruit trees and vegetables under local environment, its calculation formula is:
ETc=f(△,es,ea,ea,R n ,Gt, γ,μ 2)
f=K*(0.46Tmean+8)
Wherein, f is correction factor, and △ is the slope on saturation vapour pressure-temperature curve(kpa/oC), esFor saturation vapour pressure
(kpa), eaFor the actual vapour pressure of air(kpa), Rn is the net radiation of plant surface(MJ/m2.d), Gt is soil heat flux
(oC), γ is hygrometer constant(kpa/oC), μ2For the mean wind speed at 2 meters from the ground(M/s), Tmean is mean daily temperature
(℃), the daily average percent of sunshine hour in year that K draws for the latitude of planting site and specific time.
Above-mentioned formula calculates the standard method of reference crop transpiration rate using various meteorologic parameters, but the formula needs
Detailed meteorological data, very big difficulty is brought to calculating process, falls into a trap infeasible at last in production practices.Therefore,
Calculating transpiration rate is modified according to FA0-24 Blaney-Criddle methods.
According to the minimum relative humidity on the day of calculating, average sunshine hour number and estimation daytime, wind-force can be calculated goes out
Correction factor f, by taking In Chengdu as an example, Chengdu is located at 104.06 ° of east longitude, 30.67 ° of north latitude, the amendment of In Chengdu February
Coefficient:
f=0.25*(0.46Tmean+8)
In formula, 0.46 and 8 be empirically determined constant, and 0.25 is the latitude and given time according to planting site Chengdu
The daily average percent of the sunshine hour in year drawn, the correction factor of In Chengdu August is 0.30.
Irrigation decision inference machine, according to different fruit trees and vegetables, reading needs water to need correspondence fruit trees and vegetables in fertile data module to need
Water needs the suitable environment parameter needed for correspondence fruit trees and vegetables in fertile data and ambient parameter data module, and coordinates soil moisture to put down
Weigh the balance between revenue and expenditure of model and Crop transpirstion modeling to fruit trees and vegetables moisture, during pouring to predict and judge fruit trees and vegetables
Between, pour number of times and irrigation amount, wherein, daily pouring total amount calculation formula is:
I=Ix+P+Py-Ic-R-D-ETc
Wherein, I be daily pouring total amount, Ix be reference crop different growth phases water requirement, Ix directly from need water need
Extracted in fertile data module, P is the existing rainfall after irrigating the last time that sensor is measured, Py estimates according to weather forecast
Following several days rainfall, Ic is the soil moisture that soil temperature-moisture sensor is measured in real time, and ETc is crop transpirstion amount, and D is to ooze
Leakage quantity, R is run-off.
The effective soil water of Ic and soil is directly related, and the effective soil water W of soil is former according to soil water balance
Then determine, irrigate ability and the factor such as cultivated area and a number because practical application is limited by water pump, subregion irrigation by rotation is
Rational irrigation method.Therefore the time and number of times irrigated are discrete, it is impossible to be to irrigate and arbitrarily repeatedly irrigate at any time, be
This is, it is necessary to carry out effective soil water W estimations according to soil water balance model and predict the change of the effective soil water of different time
Change amount △ W, it can be used for the Ic of amendment Temperature Humidity Sensor measurement, more accurate reasonably when time irrigation volume to determine.
Following rainfall Py is incorporated into decision model by irrigation decision inference machine, so as to avoid following heavy rainfall
To the adverse effect of the growth of crop.
By taking Kiwi berry as an example, if following two days Py values are larger, irrigation system still gives sufficient irrigation, then
It is easy to induce the easy blackening of root skin of actinidia tree after future is rainy, rots, or even cause root system anoxic, so as to causes plant
The serious conditions such as death.
Irrigation control terminal, including the second central processing unit and the control that is connected by pci bus with the second central processing unit
Molding block, second communication module, A/D module.
Control module includes Relay relay control modules, DO numeral outputs control module, DI digital input modules.
Relay relay control modules and DO numeral outputs control module control the keying of specific alfalfa valve, complete Different Irrigation
The different irrigation volume demand in region, realizes that fruits and vegetables are grown under best soil humidity.
Second communication module include WIFI communication modules, 2G 3G 4G mobile data communication modules, Ethernet Ethernets
Communication module, for receive intelligent irrigation policy server predict and the fruit trees and vegetables judged watering time, pour number of times
With the information such as irrigation amount, and then control to complete the irrigation to fruit trees and vegetables.
Present inventive concept is ingenious, the real-time detection by environment monitoring module to the ambient parameter of fruit trees and vegetables local environment
Collection, and coordinate being used in conjunction with for multiple modules in intelligent irrigation policy server and multiple models, draw optimal pouring
Strategy, with very strong practicality and generalization.
Although being described in detail with reference to accompanying drawing to the embodiment of invention, it should not be construed as to this patent
Protection domain restriction.In the scope described by claims, those skilled in the art are without creative work
The various modification and variation made still belong to the protection domain of this patent.
Claims (9)
1. a kind of fruits and vegetables Intelligent irrigation system based on Internet of Things, it is characterised in that:Including
Context detection module, for detect, gather and transmit the environment temperature around fruits and vegetables local environment, soil temperature and humidity, too
The information of positive intensity of illumination and rainfall;
Data collection station, receives the environmental information of context detection module collection, and the environmental information processing of receiving is converted and passed
Send;
Intelligent irrigation policy server, including:
Memory module, including the different fruit trees and vegetables that are stored with most preferably are needing the need of water fertilizer requirement data needed for different growth phases
Water needs fertile database;With ambient parameter number of the different fruit trees and vegetables in the suitable environment parameter needed for different growth phases that be stored with
According to storehouse;
Computing module, by simulating the precipitation of fruit trees and vegetables local environment, run-off, the infiltration capacity of soil moisture, underground water
Relation between increment and specific fruit trees and vegetables moisture transpiration amount, puts down for meeting different fruit trees and vegetables to the revenue and expenditure of moisture
Weighing apparatus, computing module internal construction has soil water balance model, calculates core formula and is:
I+P+G=ETc+D+R+△W
Wherein, I is irrigation volume, and P is precipitation, and G is the increment of groundwater, and ETc is reference crop transpiration rate, and D is soil moisture
Leakage, R is run-off, and △ W are the variable quantity of effective soil water;
With Crop transpirstion model, its calculation formula is:
ETc=f(△,es,ea,ea,R n ,Gt, γ,μ 2)
f=K*(0.46Tmean+8)
Wherein, f is correction factor, and △ is the slope on saturation vapour pressure-temperature curve(kpa/oC), esFor saturation vapour pressure
(kpa), eaFor the actual vapour pressure of air(kpa), Rn is the net radiation of plant surface(MJ/m2.d), Gt is soil heat flux
(oC), γ is hygrometer constant(kpa/oC), μ2For the mean wind speed at 2 meters from the ground(M/s), Tmean is mean daily temperature
(℃), the daily average percent of sunshine hour in year that K draws for the latitude of planting site and specific time;
And irrigation decision inference machine, according to different fruit trees and vegetables, reading needs water to need correspondence fruit trees and vegetables in fertile data module to need
Water needs the suitable environment parameter needed for correspondence fruit trees and vegetables in fertile data and ambient parameter data module, and coordinates soil moisture to put down
Weigh the balance between revenue and expenditure of model and Crop transpirstion modeling to fruit trees and vegetables moisture, during pouring to predict and judge fruit trees and vegetables
Between, pour number of times and irrigation amount, wherein, daily pouring total amount calculation formula is:
I=Ix+P+Py-Ic-R-D-ETc
Wherein, I be daily pouring total amount, Ix be reference crop different growth phases water requirement, Ix directly from need water need
Extracted in fertile data module, P is the existing rainfall after irrigating the last time that sensor is measured, Py estimates according to weather forecast
Following several days rainfall, Ic is the soil moisture that sensor is measured in real time, and ETc is crop transpirstion amount, and D is leakage, and R is footpath
Flow;
And irrigation control terminal, the watering time for the fruit trees and vegetables that reception intelligent irrigation policy server is predicted and judged,
The information such as number of times and irrigation amount is poured, and controls to complete the irrigation to fruit trees and vegetables.
2. the fruits and vegetables Intelligent irrigation system according to claim 1 based on Internet of Things, it is characterised in that:The environment measuring
Module includes soil temperature-moisture sensor, intensity of illumination detector and rainfall detection instrument.
3. the fruits and vegetables Intelligent irrigation system according to claim 1 based on Internet of Things, it is characterised in that:The data acquisition
Terminal includes the first central processing unit and the first communication module, A/D module, the solar energy that are connected respectively with the first central processing unit
Power supply and memory module.
4. the fruits and vegetables Intelligent irrigation system according to claim 3 based on Internet of Things, it is characterised in that:First communication
Module includes RS232 serial communication modules, RS485 serial communication modules, RS422 serial communication modules, WIFI communication modules
305th, 2G 3G 4G mobile data communication modules and Ethernet ethernet communication modules, its pass through pci bus with first center
Processor is connected;The memory module includes SDRAM running memories module and FLASH flash memory modules.
5. the fruits and vegetables Intelligent irrigation system according to claim 4 based on Internet of Things, it is characterised in that:The RS232 strings
Row communication module, RS485 serial communication modules, RS422 serial communication modules respectively with soil temperature and humidity in context detection module
Sensor, intensity of illumination detector and rainfall detection instrument serial communication.
6. the fruits and vegetables Intelligent irrigation system according to claim 4 based on Internet of Things, it is characterised in that:The WIFI communications
Module, 2G 3G 4G mobile data communication modules, Ethernet ethernet communications module and intelligent irrigation policy server realize
Communication.
7. the fruits and vegetables Intelligent irrigation system according to claim 1 based on Internet of Things, it is characterised in that:The irrigation control
Terminal includes the second central processing unit and the control module being connected by pci bus with the second central processing unit, the second communication mould
Block, A/D module.
8. the fruits and vegetables Intelligent irrigation system according to claim 7 based on Internet of Things, it is characterised in that:The control module
Including Relay relay control modules, DO numeral outputs control module, DI digital input modules.
9. the fruits and vegetables Intelligent irrigation system according to claim 7 based on Internet of Things, it is characterised in that:Second communication
Module include WIFI communication modules, 2G 3G 4G mobile data communication modules, Ethernet ethernet communication modules.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1631098A (en) * | 2003-12-25 | 2005-06-29 | 中国农业大学 | Insufficient irrigation forecast and control method |
CN1951170A (en) * | 2005-10-17 | 2007-04-25 | 王光强 | Remote controlled automated irrigation system based on public communication network and control method thereof |
CN104012375A (en) * | 2014-05-07 | 2014-09-03 | 娄志 | Agricultural automatic sensing irrigation monitoring system |
CN104521699A (en) * | 2014-11-18 | 2015-04-22 | 华北水利水电大学 | Field intelligent irrigation on-line control management method |
CN104904569A (en) * | 2015-05-25 | 2015-09-16 | 华南农业大学 | Intelligent irrigation regulation and control system and method based on dynamic water content estimation |
-
2017
- 2017-05-27 CN CN201710391674.2A patent/CN107087539A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1631098A (en) * | 2003-12-25 | 2005-06-29 | 中国农业大学 | Insufficient irrigation forecast and control method |
CN1951170A (en) * | 2005-10-17 | 2007-04-25 | 王光强 | Remote controlled automated irrigation system based on public communication network and control method thereof |
CN104012375A (en) * | 2014-05-07 | 2014-09-03 | 娄志 | Agricultural automatic sensing irrigation monitoring system |
CN104521699A (en) * | 2014-11-18 | 2015-04-22 | 华北水利水电大学 | Field intelligent irrigation on-line control management method |
CN104904569A (en) * | 2015-05-25 | 2015-09-16 | 华南农业大学 | Intelligent irrigation regulation and control system and method based on dynamic water content estimation |
Non-Patent Citations (2)
Title |
---|
康绍忠 主编: "《农业水土工程概论》", 30 September 2007, 中国农业出版社 * |
潘其泉 主编: "《土地规划》", 30 September 1993, 天津科学技术出版社 * |
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