CN107330804A - A kind of wisdom water conservancy management and control cloud platform and method - Google Patents

A kind of wisdom water conservancy management and control cloud platform and method Download PDF

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Publication number
CN107330804A
CN107330804A CN201710544605.0A CN201710544605A CN107330804A CN 107330804 A CN107330804 A CN 107330804A CN 201710544605 A CN201710544605 A CN 201710544605A CN 107330804 A CN107330804 A CN 107330804A
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information
control
water
cloud
irrigation
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王永涛
张和喜
刘浏
胡玥
周琴慧
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GUIZHOU WATER RESOURCES RESEARCH INSTITUTE
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GUIZHOU WATER RESOURCES RESEARCH INSTITUTE
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models
    • G06N5/048Fuzzy inferencing
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01CPLANTING; SOWING; FERTILISING
    • A01C23/00Distributing devices specially adapted for liquid manure or other fertilising liquid, including ammonia, e.g. transport tanks or sprinkling wagons
    • A01C23/04Distributing under pressure; Distributing mud; Adaptation of watering systems for fertilising-liquids
    • A01C23/042Adding fertiliser to watering systems
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01GHORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G25/00Watering gardens, fields, sports grounds or the like
    • A01G25/16Control of watering
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Mining
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

The invention discloses a kind of wisdom water conservancy management and control cloud platform and method.The wisdom water conservancy management and control cloud platform includes data collection station, cloud terminal, control of intelligent terminal and intelligence and performs terminal;The data collection station collection field water amount information, crop growth information, pumping plant water source information, and the field water amount information of collection, crop growth information, pumping plant water source information are sent to the cloud terminal;The cloud terminal storage has the Suitable Soil Moisture threshold value in each crops each growth period, the cloud terminal is according to Suitable Soil Moisture threshold value, the weather information, field moisture information, crop growth information and pumping plant water source information, irrigation scheme is formulated, the irrigation scheme of formulation is sent to the control of intelligent terminal;The control of intelligent terminal performs terminal according to irrigation scheme control intelligence and realizes intelligent irrigation, makes full use of Water Conservancy Information Resources to carry out intelligent irrigation, improves water conservancy irrigation engineering construction and water thing treatment efficiency and benefit.

Description

A kind of wisdom water conservancy management and control cloud platform and method
Technical field
The present invention relates to water conservancy irrigation field, more particularly to a kind of wisdom water conservancy management and control cloud platform and method.
Background technology
It is mutual using cloud computing, Internet of Things, movement for Irrigated area Informationization, garden informationization, irrigation and water conservancy information system requirement The advanced information technology such as connection, big data, intelligent control, develops wisdom water conservancy irrigation management and control cloud platform, including to water conservancy information Be acquired, transmit, store, handle and utilize, strengthen resource consolidation, set up shared mechanism, using water conservancy Constructing data center as Emphasis, builds the unified storage and management platform of water conservancy irrigation data, implements the letter between each subservice application system of water conservancy irrigation Resource consolidation is ceased, the exploitation of Water Conservancy Information Resources are actively developed, so as to improve water conservancy irrigation engineering construction and water thing comprehensively Treatment efficiency and benefit, are significant, and in existing irrigation technique analysis and the irrigation of water conservancy irrigation data implementation It is separated, although irrigation system realizes automation to a certain extent, but still needs personnel according to field crops Specifying information sends to irrigate or irrigate to irrigation system and ceased and desisted order, and needs personnel further to control duty, therefore, How to make full use of Water Conservancy Information Resources to carry out intelligent irrigation, be a relevant problem.
The content of the invention
The purpose of the present invention is that there is provided a kind of wisdom water conservancy in order to make full use of Water Conservancy Information Resources to carry out intelligent irrigation Management and control cloud platform and method.
To achieve the above object, the invention provides following scheme:
A kind of wisdom water conservancy management and control cloud platform, including data collection station, cloud terminal, control of intelligent terminal and intelligence are performed Terminal;The data collection station collection weather information, field moisture information, crop growth information, pumping plant water source information, And the weather information of collection, field moisture information, crop growth information, pumping plant water source information are sent to the cloud end End;The cloud terminal storage has the Suitable Soil Moisture threshold value in each crops each growth period, and the cloud terminal is according to suitable soil Soil Moisture Threshold, the weather information, field moisture information, crop growth information and pumping plant water source information, formulate irrigation side Case, the control of intelligent terminal is sent to by the irrigation scheme of formulation;The control of intelligent terminal controls intelligence according to irrigation scheme Terminal can be performed and realize intelligent irrigation.
Optionally, the cloud terminal also includes the drought forecast early warning subsystem of video monitoring subsystem and weather monitoring, The video monitoring subsystem is used to monitor the real time data at scene, real-time damage caused by a drought degree, irrigation situation and checks historical data, The damage caused by a drought alarm early warning subsystem, the early warning for carrying out different damage caused by a drought degree, and the early warning of different damage caused by a drought degree is sent To control of intelligent terminal.
Optionally, the control of intelligent terminal is the mobile phone with intelligent control software, and the intelligent control software has Pumping station automatization control function and water-fertilizer integral automatic control function.
Optionally, the intelligence, which performs terminal, includes water-fertilizer integral control system, the water-fertilizer integral control system Irrigation valve, fertilising valve and water pump for controlling irrigation section, realize water-fertilizer integral control.
Optionally, the intelligence, which performs terminal, includes pumping station automatization control system, the pumping station automatization control system Including programmable controller, display touch-screen, intelligent frequency-conversion cabinet, flowmeter, pressure transmitter, voltameter, for irrigation pipe Road carries out constant pressure control, realizes that constant pressure water supply is irrigated.
A kind of wisdom water conservancy management-control method, comprises the following steps:
Obtain weather information, field moisture information, crop growth information, pumping plant water source information;
Obtained predicting rainfall according to the weather information and history precipitation data;
According to the growth information of the crops and the Suitable Soil Moisture threshold value in each crops each growth period, farming is determined The Suitable Soil Moisture threshold value of thing;
According to the prediction rainfall and the Suitable Soil Moisture threshold value of the crops, and with reference to the field moisture Information, determines damage caused by a drought degree;
According to the damage caused by a drought degree, and combine pumping plant water source information formulation irrigation scheme;
Terminal is performed according to irrigation scheme control intelligence to be irrigated.
Optionally, the specific steps bag for obtaining predicting rainfall according to the weather information and history precipitation data Include:
According to n annual rainfall sequence E=(e1,e2,e3,...en), draw input, output vector X, Y, wherein, input to The component x of amounti=ei, i=1,2 ..., n-1, output vector component yi=ei+1, i=1,2 ... n-1;
Data in X are arranged from big to small, the Data Position in Y makes corresponding change, using fuzzy clustering method to X In data clustered;
Data are classified accordingly in Y, and according to X, Y cluster situation generates c groups using backward cloud generator and predicted Cloud;
Current t annual rainfalls sequence data is obtained according to the weather information, according to current t annual rainfalls sequence data, utilized Backward cloud generator, generates current trend cloud, and merges with each prediction cloud, forms final regular consequent cloud;
Prediction of precipitation is carried out using the final regular consequent cloud of generation.
Optionally, according to the prediction rainfall and the Suitable Soil Moisture threshold value of the crops, and with reference to the field Between water content information, determining the specific steps of damage caused by a drought degree includes:
Judge whether field moisture is in the Suitable Soil Moisture of the crops according to the field moisture information In threshold range, if so, then without damage caused by a drought, if it is not, then there is damage caused by a drought;
If there is damage caused by a drought, further combined with the prediction rainfall, damage caused by a drought degree is determined.
Optionally, the process that the intelligence execution terminal is irrigated includes water-fertilizer integral control process, the liquid manure Overall-in-one control schema process is specifically included:
According to the law of needing the water and fertilizer application formula of crops, water-fertilizer coupling model is set up;
Obtain soil humidity information, nutrient information, water level in water pool information and ductwork pressure information;
According to the soil humidity information, the nutrient information and the water-fertilizer coupling model, using FUZZY ALGORITHMS FOR CONTROL The opening for irrigating valve and fertilising valve of section is irrigated in control;According to the water level in water pool information, section is irrigated in control The pond water pump start and stop;According to ductwork pressure information, control to irrigate the water pump of section using PID control algolithms Speed.
Optionally, the water-fertilizer coupling model is:
Wherein, Q is to need irrigation quantity, and unit is L;B is the amount of urea in high concentration coupling liquid, and unit is g;Y1 is target The electrical conductivity of coupling liquid, unit is ms/cm;X1 is target coupling liquid concentration, and unit is %.
The specific embodiment provided according to the present invention, the invention discloses following technique effect:
The invention discloses a kind of wisdom water conservancy management and control cloud platform and method, the wisdom water conservancy management and control cloud platform includes number Terminal is performed according to acquisition terminal, cloud terminal, control of intelligent terminal and intelligence;The data collection station collection weather information, field Between water amount information, crop growth information, pumping plant water source information, and by the weather information of collection, field water amount information, crops Growth information, pumping plant water source information are sent to the cloud terminal;The cloud terminal storage has the suitable of each crops each growth period Soil moisture threshold, the cloud terminal is according to Suitable Soil Moisture threshold value, the weather information, field moisture information, farming Thing growth information and pumping plant water source information, formulate irrigation scheme;The control of intelligent terminal is held according to irrigation scheme control intelligence Row terminal realizes intelligent irrigation, takes full advantage of weather information, field water amount information, crop growth information, pumping plant water source letter Breath, and the Suitable Soil Moisture threshold value in each crops each growth period is combined, the formulation of irrigation scheme is carried out, intelligence science is realized Irrigation.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment The accompanying drawing needed to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the present invention Example, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these accompanying drawings Obtain other accompanying drawings.
A kind of structure composition figure for wisdom water conservancy management and control cloud platform that Fig. 1 provides for the present invention;
A kind of flow chart for wisdom water conservancy management-control method that Fig. 2 provides for the present invention;
A kind of normal state cloud atlas for wisdom water conservancy management-control method that Fig. 3 provides for the present invention;
A kind of Rule Generator schematic diagram for wisdom water conservancy management-control method that Fig. 4 provides for the present invention.
Embodiment
It is an object of the invention to provide a kind of wisdom water conservancy management and control cloud platform and method, water conservancy information is made full use of to realize Resource carries out intelligent irrigation.
In order to facilitate the understanding of the purposes, features and advantages of the present invention, it is below in conjunction with the accompanying drawings and specific real Applying mode, the present invention is further detailed explanation.
As shown in figure 1, a kind of wisdom water conservancy management and control cloud platform, including data collection station 101, cloud terminal 102, intelligence Control terminal 103 and intelligence perform terminal 104;The data collection station 101 collection weather information, field moisture information, Crop growth information, pumping plant water source information, and by the weather information of collection, field moisture information, crop growth information, Pumping plant water source information is sent to the cloud terminal 102;The cloud terminal storage has the suitable soil water in each crops each growth period Divide threshold value, the cloud terminal 102 is according to Suitable Soil Moisture threshold value, the weather information, field moisture information, crops Growth information and pumping plant water source information, formulate irrigation scheme, the irrigation scheme of formulation are sent into the control of intelligent terminal 103;The control of intelligent terminal 103 performs terminal 104 according to irrigation scheme control intelligence and realizes intelligent irrigation.
Specifically, the cloud terminal 102 is used to be obtained predicting rainfall according to the weather information and history precipitation data Amount;According to the growth information of the crops and the Suitable Soil Moisture threshold value in each crops each growth period, crops are determined Suitable Soil Moisture threshold value;According to the prediction rainfall and the Suitable Soil Moisture threshold value of the crops, and with reference to described Field moisture information, determines damage caused by a drought degree;According to the damage caused by a drought degree, and combine pumping plant water source information formulation irrigation scheme.
Optionally, the cloud terminal 102 also includes the drought forecast early warning subsystem of video monitoring subsystem and weather monitoring System, the video monitoring subsystem is used to monitor the real time data at scene, real-time damage caused by a drought degree, irrigation situation and checks history number According to, the damage caused by a drought alarm early warning subsystem, the early warning for carrying out different damage caused by a drought degree, and the early warning of different damage caused by a drought degree is sent out Deliver to control of intelligent terminal;The video monitoring subsystem is additionally operable to the real time data of real-time displaying scene and checks historical data And tendency chart, set upper lower limit value to realize overload alarm;Monitoring remote video can reflect the growth phase of crop, irrigation situation And the operation conditions of garden key equipment, avoid theft and lose, the centre management work of auxiliary garden;The damage caused by a drought alarm is pre- Alert subsystem, is additionally operable to the main meteorological parameters such as collection Designer Frames rainfall, wind direction, wind speed and aerial temperature and humidity, with reference to soil moisture in the soil Feelings Monitoring Data, realizes applying and the assessment of damage caused by a drought, decision-making foundation is provided for irrigation management, its automatic control function Mainly have:Constant pressure water supply function, lightning function, unattended function, trouble handling function, PLC instrument automatic control functions etc..
Optionally, the control of intelligent terminal 103 is the mobile phone with intelligent control software, the intelligent control software tool There are pumping station automatization control function and water-fertilizer integral automatic control function.Optionally, the control of intelligent terminal 103 may be used also Think PC or industrial computer with intelligent control software;The control of intelligent terminal can realize the pipe to irrigation and water conservancy information Reason, the real-time monitoring to data such as gravity irrigation, lift pumping station, level of ground water, rainfall, soil moisture content, images, and pass through GPRS network transfers data to cloud terminal 102, and the processing and analysis of data, and energy are completed by the software platform of cloud terminal 102 Various statistics and inquiry are easily carried out, duty, level of ground water, rainfall, soil moisture content and irrigated area video are grasped in time Information, and control of intelligent terminal is sent a command to, guidance intelligence performs terminal and realizes intelligent irrigation, and system can be also production, resist Drought, work of flood prevention provide decision-making foundation.
The intelligent irrigation control terminal is additionally operable to utilize cell phone software remote control water-fertilizer integral equipment, by simple Mobile phone operation can complete irrigation process.
Optionally, the intelligence, which performs terminal 104, includes water-fertilizer integral control system, the water-fertilizer integral control system Unite for the irrigation valve, fertilising valve and water pump for controlling irrigation section, realize water-fertilizer integral control.
Specifically, the water-fertilizer integral control system is used for law of needing the water and fertilizer application formula according to crops, set up Water-fertilizer coupling model;According to the soil humidity information, the nutrient information and the water-fertilizer coupling model, using fuzzy control The opening for irrigating valve and fertilising valve of section is irrigated in algorithm control;According to the water level in water pool information, control is irrigated The start and stop of the water pump in the pond of section;According to ductwork pressure information, control to irrigate the water pump of section using pid control algorithm Speed.The water-fertilizer integral control system is additionally operable to monitor soil and fertilizer, nutrient situation in real time, and according to default crop Fertilizer application formula instructs crop fertilization, realizes water-fertilizer integral.After the completion of system, the management operating daily except Demonstration Garden is served Outside, it may also be used for hydro science is tested when carrying out regular and long, such as crop irrigation experiment, the automatic survey of water efficiency of irrigation Calculation, Water Resources Irrigation reasonable disposition model test etc..
Optionally, the intelligence, which performs terminal, includes pumping station automatization control system, the pumping station automatization control system Including programmable controller, display touch-screen, intelligent frequency-conversion cabinet, flowmeter, pressure transmitter, voltameter, for irrigation pipe Road carries out constant pressure control, realizes that constant pressure water supply is irrigated.
As shown in Fig. 2 a kind of intelligent irrigation method, comprises the following steps:
Step 201:Obtain weather information, field moisture information, crop growth information, pumping plant water source information;
Step 202:Obtained predicting rainfall according to the weather information and history precipitation data;
Step 203:According to the growth information of the crops and the Suitable Soil Moisture threshold value in each crops each growth period, Determine the Suitable Soil Moisture threshold value of crops;
Step 204:According to the prediction rainfall and the Suitable Soil Moisture threshold value of the crops, and with reference to the field Between water content information, determine damage caused by a drought degree;
Step 205:According to the damage caused by a drought degree, and combine pumping plant water source information formulation irrigation scheme;
Step 206:Terminal is performed according to irrigation scheme control intelligence to be irrigated.
Optionally, obtain predicting the tool of rainfall described in step 202 according to the weather information and history precipitation data Body step includes:
According to n annual rainfall sequence E=(e1,e2,e3,...en), draw input, output vector X, Y, wherein, input to The component x of amounti=ei, i=1,2 ..., n-1, output vector component yi=ei+1, i=1,2 ... n-1;
Data in X are arranged from big to small, the Data Position in Y makes corresponding change, using fuzzy clustering method to X In data clustered;
Data are classified accordingly in Y, and according to X, Y cluster situation generates c groups using backward cloud generator and predicted Cloud;
Current t annual rainfalls sequence data is obtained according to the weather information, according to current t annual rainfalls sequence data, utilized Backward cloud generator, generates current trend cloud, and merges with each prediction cloud, forms final regular consequent cloud;
Prediction of precipitation is carried out using the final regular consequent cloud of generation.
Specifically, the regular cloud is cloud model, the cloud model can be divided into accurate concept according to the epitaxial nature of concept And imprecise concept.The extension of imprecise concept is uncertain, ambiguity, and it is related to two kinds of uncertainties:One be with Machine, two be ambiguity, generally describes imprecise concept with uncertain language value.These are true for the processing that is introduced as of fuzzy mathematics Determine after the blooming that is widely present in concept provides research tool, still, membership function once being expressed as exact numerical, Just there is no a bit ambiguity.For these problems that there is currently, on the basis of traditional fuzzy mathematics and probability statistics The cloud model set up propose it is uncertain quantitatively exchange model, it the ambiguity and randomness of uncertain concept organically It is combined together, realizes the Natural Transformation between uncertain language value and quantitative value.
It is a quantitative domain represented with exact numerical to define 1 and set U, and C is the qualitativing concept on U, if quantitative values x ∈ U, And x is a qualitativing concept C Stochastic implementation, x is the random number for having steady tendency to C degree of certainty u (x) ∈ [0,1]:
Then distributions of the x on domain U is referred to as cloud, and each x is referred to as a water dust.
Cloud has the following properties that:
(1) domain U can be one-dimensional or multidimensional.
(2) Stochastic implementation referred in defining, is the realization under probability meaning;The degree of certainty referred in definition, is fuzzy Collect the degree of membership under meaning, while having the distribution of probability meaning again.All these passes for all embodying ambiguity and randomness Connection property.
(3) it is one-to-many conversion, degree of certainties of the x to C for the mapping on any one x ∈ U, x to interval [0,1] It is a probability distribution, rather than a fixed numerical value.
(4) cloud is made up of water dust, property out of order between water dust, and a water dust is the once reality of qualitativing concept quantitatively Existing, water dust is more, more can reflect the global feature of this qualitativing concept.
(5) probability that water dust occurs is big, and the degree of certainty of water dust is big, then contribution of the water dust to concept is big.
The mathematical feature of cloud includes:
Cloud expectation Ex, entropy En and super entropy He tri- concept of numerical characteristic general token one.
Expect Ex:Expectation of the water dust in domain spatial distribution.Generally, exactly it is best able to represent the point of qualitativing concept, The most typically sample that this concept quantifies in other words.
Entropy En:The uncertainty measure of qualitativing concept, is together decided on by the randomness and ambiguity of concept.
Super entropy He:It is the entropy of the uncertainty measure of entropy, i.e. entropy.Together decided on by the randomness and ambiguity of entropy.
Cloud model is the concrete methods of realizing of cloud, is also the basis of the methods such as cloud computing, cloud cluster, cloud reasoning, cloud control, Cloud can represent with image, abbreviation cloud atlas, and the meaning of normal state cloud atlas and numerical characteristic is as shown in Figure 3.
The method for building up of the cloud model is normal state cloud generator, and the normal state cloud generator is Normal Cloud Generator or inverse To cloud generator.
The Normal Cloud Generator is the mapping from qualitative to quantitative, and it is produced according to the numerical characteristic (Ex, En, He) of cloud Raw water dust, positive Normal Cloud is defined as follows:
It is a quantitative domain represented with exact numerical to define 2 and set U, and C is the qualitativing concept on U.If quantitative values x ∈ U, And x is a qualitativing concept C Stochastic implementation;
If x is met:X~N (Ex, En ' 2), wherein, En '~N (En, He2), and x meets to C degree of certainty Then distributions of the x on domain U is referred to as Normal Cloud.
The specific algorithm of positive normal state cloud generator is:
(1) generation is using En as desired value, He2For a normal random number of variance
(2) generate using Ex as desired value,For a normal random number of variance
(3) calculate
(4) there is degree of certainty uiXiAs a water dust in number field;
(5) repeat step (1) arrives (4) n times, produces n desired water dust.
Wherein, NORM is the function for producing Normal Distribution random number.
The backward cloud generator is to realize the transformation model from quantitative values to qualitativing concept.It can will be a number of Precise information is converted to the qualitativing concept represented with numerical characteristic (Ex, En, He), and specific algorithm is as follows:
(1) according to xiCalculate the sample average of this group of dataSingle order sample Absolute Central Moment Sample variance
(2)
(3)
(4)
The process of cloud reasoning includes:
Step 1:Generate former piece cloud and consequent cloud generator;
Step 2:Create-rule cloud generator;
Step 3:The merging of rule.
If defining 3 given domain U, in a specified point α, this specified point α category can be generated by cloud generator In concept C1Degree of certainty distribution, cloud generator at this moment is referred to as former piece cloud generator;Given degree of certainty u, u a ∈ [0,1], leads to Domain U can be generated by crossing cloud generator2In concept C2On meet this degree of certainty water dust distribution, cloud generator at this moment Referred to as consequent cloud generator.
In step 1, the detailed process of cloud generator is built before generation is one-dimensional to be included:
(1) random number of normal distribution is generated according to the numerical characteristic closely related En and He of qualitativing concept
(2) degree of certainty is calculated according to desired value Ex and specific input value α
The detailed process of cloud generator is built after generation is one-dimensional to be included:
(1) random number of normal distribution is generated according to the numerical characteristic closely related En and He of qualitativing concept
(2) its corresponding water dust is calculated according to desired value Ex and determination angle value u
In step 2, the method for create-rule generator is, a former piece cloud generator and a consequent cloud generator, to press It is attached according to shown in Fig. 4, single conditional plan, referred to as wall scroll part list Rule Generator can be constructed.
Specific algorithm is as follows:
(1) according to regular former piece A qualitativing concept C1(ExA,EnA,HeA) generation normal distribution random number
(2) particular value a degree of certainty is calculated
(3) according to consequent B qualitativing concept C2(ExB,EnB,HeB) generation normal distribution random number
(4) if input value is the rising edge of regular former piece, i.e. a≤Ex, then regular consequent also select rising edge, i.e.,Conversely,
In step 3, regular merges into the regular former piece cloud or consequent cloud close to two, enters the union operation that racks, Specifically method is:
Give two adjacent cloud model C1(Ex1,En1,He1),C2(Ex2,En2,He2), the cloud model after order merges is C (Ex, En, He), then have
Specifically, the Suitable Soil Moisture threshold value in each crops each growth period described in step 203 includes:
The Suitable Soil Moisture threshold value of paddy rice:
Result of the test shows that " section's filling " is the rice irrigation method economized on water the most, the normal growth paddy field water of local paddy rice Lower limit is divided to be shown in Table 1.In order that rice shoot is inserted shallow, straight in period of seedling establishment, is difficult to float seedling, and promote early tiller, Soil surface water layer control exists 15~40mm;Tiller early stage should keep field soil to be in saturation state, during late tillering state dry field, average in 0~20cm soil layers Soil moisture content lower limit is the 70% of saturated aqueous rate;Jointing-booting stage is paddy rice physiological water requirement peak period in life, and field face is protected Hold 20~30mm shoaling layers;In full heading time, field face keeps 5~15mm thin water layers.
The Suitable Soil Moisture threshold value of the paddy rice of table 1
Wherein:θ f are the field capacity in rice field.
The Suitable Soil Moisture threshold value of corn:
The Suitable Soil Moisture threshold value of corn is shown in Table 2, when soil moisture content of the corn in seedling stage-jointing stage is less than 70% field Between specific retention when, crop yield is decreased obviously, Maize at Seedling Stage soil moisture content be less than 60% field capacity when, corn field moisture Wane serious, the hysteresis effect influence on later growth period is larger, and crop yield decline is especially notable, and Maize at Seedling Stage soil contains Water rate is not lower than 70% field capacity.In jointing-tasseling stage, said from the angle of water saving and high yield, jointing-tasseling stage Soil moisture content should be less than 60% field capacity.Take out the main stage that hero-pustulation period is reproductive development, soil water-containing When rate should be less than 65% field capacity, the significantly underproduction occurs for yield.In grouting-maturity period, it is ensured that the suitable soil water Leaf senile can be avoided by dividing, and strengthen Photosynthetic property of leaf, unobvious in the water deficit influence in grouting-maturity period, and grouting-into The soil moisture content of ripe phase should be maintained at 70% field capacity.
The Suitable Soil Moisture threshold value of the corn of table 2
Seedling stage~jointing Jointing~take out hero Take out hero~grouting Grouting~maturation
70% θf 60% θf 65% θf 70% θf
The Suitable Soil Moisture threshold value of wheat:
The Suitable Soil Moisture threshold value of wheat is shown in Table 3, from sow-turn green be winter wheat growth the starting phase, soil moisture Deficiency can cause tiller number substantially to reduce, and late growing stage is bad, and growing way is poor, and finally influence spike number and yield.Survive the winter to examination Test research to show, Guizhou Province winter wheat is not lower than the 70% of field capacity in the soil moisture of sowing-period of seedling establishment, to ensure The normal growth of soil moisture and under ground portion of the winter wheat between sowing-period of seedling establishment, soil water-physical properties are field water holding The 70% of rate.Jointing-heading stage is that winter wheat stamen is differentiated to form the phase, and wheat strain aims at nutrient growth by nutrient growth and given birth to reproduction Length is gone forward side by side the stage, and now wheat growth speed is accelerated, and dry accumulates, and intensity of photosynthesis is increased, now soil moisture 55% in field capacity should be controlled.Heading-maturity period is the final stage of wheat plant differentiation, and strain body metabolism is most By force, transpiration is strong, photosynthesis has reached maximum, and the reaction to water deficit is most sensitive, is that wheat needs water critical Phase, when soil moisture content is less than 60% field capacity, wheat strain is reduced by water stress, spike number, and grain number per spike is significantly reduced, Plant is obvious by stress symptom.
The Suitable Soil Moisture threshold value of the winter wheat of table 3
Sowing~point Tiller~more Survive the winter~return Turn green~pull out Jointing~take out Heading~into
70% θf 70% θf 70% θf 55% θf 55% θf 60% θf
The Suitable Soil Moisture threshold value of rape:
As shown in table 4, requirement of the different growing stage of rape to soil moisture is different, seedling stage not preferably less than 65% field Specific retention, prosperous long-term not preferably less than 75% field capacity, florescence not preferably less than 80% field capacity, the maturity period is not preferably less than 65% field capacity.Florescence is the rape stage most sensitive to moisture, and when the florescence is less than 80% field capacity, moisture loses Lack the branch for having influence on rape, the growth of germination and inflorescence, and have impact on effective branch in later stage and reduce effective branch And number of flowers, final influence pod increase, therefore, the soil moisture content in maturity period not preferably less than 65% field capacity.
The Suitable Soil Moisture threshold value of the rape of table 4
Seedling stage It is prosperous long-term Florescence Maturity period
65% θf 75% θf 80% θf 65% θf
The Suitable Soil Moisture threshold value of flue-cured tobacco
The Suitable Soil Moisture threshold value of flue-cured tobacco is shown in Table 5, and seedling-slowing stage is the transplanting stage of flue-cured tobacco, and the phase soil moisture is less than During 75% soil moisture content, dead seedling can occur for vega, prevent flue-cured tobacco from surviving, and group's phase soil moisture content should be maintained at 70% More than, otherwise flue-cured tobacco can not normally restrain the growth of seedlings, and the prosperous long-term growth animated period for flue-cured tobacco, is also the critical period of water need of flue-cured tobacco, soil Earth moisture content lower limit is 75%, and less than soil moisture content lower limit, the growing way and yield of flue-cured tobacco will be severely impacted, the maturity period pair The sensitiveness of moisture is poor, but during less than 55% field capacity, the aging of flue-cured tobacco will shift to an earlier date rapidly, and the yield of flue-cured tobacco will significantly Spend the underproduction.
The Suitable Soil Moisture threshold value of the flue-cured tobacco of table 5
Specifically, according to the growth information of the crops and the suitable soil in each crops each growth period described in step 203 Earth Soil Moisture Threshold, determining the specific steps of the Suitable Soil Moisture threshold value of crops includes:
According to the growth information of the crops determine the species of crops and be presently in growth period;
The crop specie is determined and in current life according to the Suitable Soil Moisture threshold value in each crops each growth period Threshold value when long-term.
Optionally, according to the prediction rainfall and the Suitable Soil Moisture threshold value of the crops described in step 204, and With reference to the field moisture information, determining the specific steps of damage caused by a drought degree includes:
Judge whether field moisture is in the Suitable Soil Moisture of the crops according to the field moisture information In threshold range, if so, then without damage caused by a drought, if it is not, then there is damage caused by a drought;
If there is damage caused by a drought, further combined with the prediction rainfall, damage caused by a drought degree is determined.
Optionally, the process that terminal irrigated intelligently is performed described in step 206 includes water-fertilizer integral control process, institute Water-fertilizer integral control process is stated to specifically include:
According to the law of needing the water and fertilizer application formula of crops, water-fertilizer coupling model is set up;
Obtain soil humidity information, nutrient information, water level in water pool information and ductwork pressure information;
According to the soil humidity information, the nutrient information and the water-fertilizer coupling model, using FUZZY ALGORITHMS FOR CONTROL The opening for irrigating valve and fertilising valve of section is irrigated in control;According to the water level in water pool information, section is irrigated in control The pond water pump start and stop;According to ductwork pressure information, control to irrigate the water pump of section using PID control algolithms Speed.
Optionally, the water-fertilizer coupling model is:
Wherein, Q is to need irrigation quantity, and unit is L;B is the amount of urea in high concentration coupling liquid, and unit is g;Y1 is target Coupling liquid EC values, the EC values are electrical conductivity, and unit is ms/cm;X1 is target coupling liquid concentration, and unit is %.
Optionally, the detailed process of the FUZZY ALGORITHMS FOR CONTROL includes:By the change of the error of soil moisture and humidity error Change the input respectively as two-dimensional fuzzy controller and output variable, after humidity information and calculating that soil is obtained in real time, according to Fuzzy control rule carries out fuzzy reasoning, finally draws fuzzy membership functions, obtains suitable irrigation time as output quantity, real Existing fuzzy control is irrigated;Wherein, it is r to set soil current humidity value, and the current desired humidity value of crop is y, then input variable is missed Poor e=r-y, error rate ec=de/dt;Output variable be solenoid valve open time t, set e basic domain for [- 5%, 5%], ec is [- 5%, 5%], and time t is [0,30];Set the corresponding fuzzy variable of e, ec and t be respectively E, EC and T, E and EC fuzzy set are { NB, NM, NS, 0, PS, PM, PB }, and it is { -3, -2, -1,0,1,2,3 } to quantify domain, T's Fuzzy set is { 0, PS, PM, PB }, and it is { 0,1,2,3 } to quantify domain, then quantizing factor is respectively K1=3/5=0.6, K2=3/ 5=0.6, scale factor is K3=30/3=10;So as to obtain E, EC and T fuzzy membership functions;The fuzzy control rule By hazy condition ifandthenTo express, whereinRespectively E, EC, U fuzzy subset.
The wisdom water conservancy management and control cloud platform and method of the present invention can be applied to Guizhou Province and carry out intelligent irrigation, but be not limited to expensive State province, wherein, the detailed process for obtaining the pumping plant water source information in Guizhou Province is as follows:
According to the principles such as regional representativeness, feasibility and stability selection sampling point irrigated area, make selected sampling point irrigated area Can the basic overall feature in reflecting regional irrigated area;
By the actual conditions in Guizhou Province, there will be Large-Sized Irrigation Districts to include sampling point irrigated area measuring and calculating analyst coverage in fact, and by medium-sized Irrigated area and the Large-Sized Irrigation Districts of miniature irrigation area bundling, it then follows medium-sized irrigated area and miniature irrigation area quantitative requirement;
In view of the reality that Guizhou Province Large-Sized Irrigation Districts are come by small and medium-sized irrigation areas bundling, therefore the method for still taking Points replacing surfaces Inquire into Large-Sized Irrigation Districts water efficiency of irrigation, specific practice is a medium-sized irrigated area to be chosen in each Large-Sized Irrigation Districts and two small Type irrigated area is that sampling point irrigated area is calculated, and Large-Sized Irrigation Districts water efficiency of irrigation is inquired into based on results of measuring;
Large-Sized Irrigation Districts irrigation water using efficiency, has Large-Sized Irrigation Districts irrigation water using efficiency according to sampling point Irrigation Project Design water use efficiency in fact Calculated;Bundling Large-Sized Irrigation Districts, its irrigation water using efficiency is by the medium-sized irrigated area in bundling region and miniature irrigation area hair irrigation water Amount and corresponding irrigation water using efficiency are weighted average computation:
In formula:
ηGreatly--- Large-Sized Irrigation Districts irrigation water using efficiency;
ηIn、ηIt is small--- it is respectively the irrigation water using efficiency in medium and small irrigated area in bundling Large-Sized Irrigation Districts;
WIn、WIt is small--- it is respectively the hair water consumption in medium and small irrigated area in bundling Large-Sized Irrigation Districts, m3
The specific embodiment provided according to the present invention, the invention discloses following technique effect:
The invention discloses a kind of wisdom water conservancy management and control cloud platform and method, wisdom water conservancy management and control cloud platform passes through cloud terminal The soil moisture data to relevant position soil moisture content monitoring station analyze, and the soil moisture content not up to standard to soil moisture Monitoring station carries out automatic early-warning, starts intelligent irrigation function, analyzes the pumping plant of soil moisture content monitoring station position, whether is water source Meet to irrigate and require, whether irrigation equipment is normal, if meeting correlated condition, and scheduling system carries out intelligent reminding automatically, and according to Operating right opens water pump and sprinkling irrigation equipment carries out intelligent irrigation, makes full use of modern information technologies, including water conservancy information is entered Row is gathered, transmits, stores, handles and utilized, reinforcement resource consolidation, is set up shared mechanism, is attached most importance to water conservancy Constructing data center Point, builds the unified storage and management platform of water conservancy irrigation data, implements the information between each subservice application system of water conservancy irrigation Resource consolidation, actively develops the exploitation of Water Conservancy Information Resources.So as to improve water conservancy irrigation engineering construction and Shui Shichu comprehensively Manage efficiency and benefit.
The embodiment of each in this specification is described by the way of progressive, and what each embodiment was stressed is and other Between the difference of embodiment, each embodiment identical similar portion mutually referring to.For system disclosed in embodiment For, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is said referring to method part It is bright.
Specific case used herein is set forth to the principle and embodiment of invention, the explanation of above example The method and its core concept for helping to understand the present invention are only intended to, described embodiment is only that the part of the present invention is real Example, rather than whole embodiments are applied, based on the embodiment in the present invention, those of ordinary skill in the art are not making creation Property work under the premise of the every other embodiment that is obtained, belong to the scope of protection of the invention.

Claims (10)

1. a kind of wisdom water conservancy management and control cloud platform, it is characterised in that including data collection station, cloud terminal, control of intelligent terminal Terminal is performed with intelligence;The data collection station collection weather information, field moisture information, crop growth information, pump Stand water source information, and the weather information of collection, field moisture information, crop growth information, pumping plant water source information are sent To the cloud terminal;The cloud terminal storage has the Suitable Soil Moisture threshold value in each crops each growth period, the cloud terminal root According to Suitable Soil Moisture threshold value, the weather information, field moisture information, crop growth information and pumping plant water source information, Irrigation scheme is formulated, the irrigation scheme of formulation is sent to the control of intelligent terminal;The control of intelligent terminal is according to irrigation Scheme control intelligence performs terminal and realizes intelligent irrigation.
2. wisdom water conservancy management and control cloud platform according to claim 1, it is characterised in that the cloud terminal also includes video and supervised The drought forecast early warning subsystem of subsystem and weather monitoring is controlled, the video monitoring subsystem is used for the real-time number for monitoring scene According to, real-time damage caused by a drought degree, irrigation situation and check historical data, the damage caused by a drought alarm early warning subsystem, for carrying out different droughts The early warning of feelings degree, and the early warning of different damage caused by a drought degree is sent to control of intelligent terminal.
3. wisdom water conservancy management and control cloud platform according to claim 1, it is characterised in that the control of intelligent terminal be with The mobile phone of intelligent control software, the intelligent control software has pumping station automatization control function and water-fertilizer integral automation control Function processed.
4. wisdom water conservancy management and control cloud platform according to claim 1, it is characterised in that the intelligence, which performs terminal, includes water Fertile integral control system, the water-fertilizer integral control system be used for control irrigate section irrigation valve, fertilising valve and Water pump, realizes water-fertilizer integral control.
5. wisdom water conservancy management and control cloud platform according to claim 1, it is characterised in that the intelligence, which performs terminal, includes pump Station automatic control system, the pumping station automatization control system includes programmable controller, display touch-screen, intelligent frequency-conversion Cabinet, flowmeter, pressure transmitter, voltameter, for carrying out constant pressure control to irrigation conduit, realize that constant pressure water supply is filled Irrigate.
6. a kind of wisdom water conservancy management-control method, it is characterised in that comprise the following steps:
Obtain weather information, field moisture information, crop growth information, pumping plant water source information;
Obtained predicting rainfall according to the weather information and history precipitation data;
According to the growth information of the crops and the Suitable Soil Moisture threshold value in each crops each growth period, crops are determined Suitable Soil Moisture threshold value;
According to the prediction rainfall and the Suitable Soil Moisture threshold value of the crops, and with reference to field moisture letter Breath, determines damage caused by a drought degree;
According to the damage caused by a drought degree, and combine pumping plant water source information formulation irrigation scheme;
Terminal is performed according to irrigation scheme control intelligence to be irrigated.
7. intelligent irrigation method according to claim 6, it is characterised in that described to be dropped according to the weather information and history Water data obtain predicting that the specific steps of rainfall include:
According to n annual rainfall sequence E=(e1,e2,e3,...en), input, output vector X, Y are drawn, wherein, point of input vector Measure xi=ei, i=1,2 ..., n-1, output vector component yi=ei+1, i=1,2 ... n-1;
Data in X are arranged from big to small, the Data Position in Y makes corresponding change, using fuzzy clustering method in X Data are clustered;
Data are classified accordingly in Y, and according to X, Y cluster situation generates c groups using backward cloud generator and predicts cloud;
Current t annual rainfalls sequence data is obtained according to the weather information, according to current t annual rainfalls sequence data, using reverse Cloud generator, generates current trend cloud, and merges with each prediction cloud, forms final regular consequent cloud;
Prediction of precipitation is carried out using the final regular consequent cloud of generation.
8. management-control method according to claim 6, it is characterised in that according to the prediction rainfall and the crops Suitable Soil Moisture threshold value, and with reference to the field moisture information, determining the specific steps of damage caused by a drought degree includes:
Judge whether field moisture is in the Suitable Soil Moisture threshold value of the crops according to the field moisture information In the range of, if so, then without damage caused by a drought, if it is not, then there is damage caused by a drought;
If there is damage caused by a drought, further combined with the prediction rainfall, damage caused by a drought degree is determined.
9. management-control method according to claim 6, it is characterised in that the intelligence performs the process bag that terminal is irrigated Water-fertilizer integral control process is included, the water-fertilizer integral control process is specifically included:
According to the law of needing the water and fertilizer application formula of crops, water-fertilizer coupling model is set up;
Obtain soil humidity information, nutrient information, water level in water pool information and ductwork pressure information;
According to the soil humidity information, the nutrient information and the water-fertilizer coupling model, controlled using FUZZY ALGORITHMS FOR CONTROL Irrigate the opening for irrigating valve and fertilising valve of section;According to the water level in water pool information, the institute of section is irrigated in control State the start and stop of the water pump in pond;According to ductwork pressure information, control to irrigate the speed of the water pump of section using pid control algorithm.
10. management-control method according to claim 9, it is characterised in that the water-fertilizer coupling model is:
<mrow> <mi>Q</mi> <mo>=</mo> <mfrac> <mrow> <mn>0.46</mn> <mi>b</mi> <mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mi>x</mi> <mn>1</mn> <mo>)</mo> </mrow> </mrow> <mrow> <mi>x</mi> <mn>1</mn> </mrow> </mfrac> <mo>=</mo> <mfrac> <mrow> <mn>0.46</mn> <mi>b</mi> <mo>&amp;times;</mo> <mrow> <mo>(</mo> <msqrt> <mrow> <mfrac> <mrow> <mn>184.89</mn> <mo>-</mo> <mi>y</mi> <mn>1</mn> </mrow> <mn>0.2598</mn> </mfrac> <mo>+</mo> <mn>99.4</mn> </mrow> </msqrt> <mo>-</mo> <mn>8.97</mn> <mo>)</mo> </mrow> </mrow> <mrow> <mn>9.97</mn> <mo>-</mo> <msqrt> <mrow> <mfrac> <mrow> <mn>184.89</mn> <mo>-</mo> <mi>y</mi> <mn>1</mn> </mrow> <mn>0.2598</mn> </mfrac> <mo>+</mo> <mn>99.4</mn> </mrow> </msqrt> </mrow> </mfrac> </mrow>
Wherein, Q is to need irrigation quantity, and unit is L;B is the amount of urea in high concentration coupling liquid, and unit is g;Y1 is target coupling liquid Electrical conductivity, unit is ms/cm;X1 is target coupling liquid concentration, and unit is %.
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Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108536101A (en) * 2018-03-29 2018-09-14 北京中农精准科技有限公司 A kind of intelligent row's of filling cyclic utilization system and method
CN108628374A (en) * 2018-06-29 2018-10-09 王倩 A kind of wheat growth intelligent control method and system
CN109618633A (en) * 2018-12-19 2019-04-16 云南省农业科学院园艺作物研究所 High dense planting fruit tree micro-spray system
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CN115880101A (en) * 2023-03-02 2023-03-31 江西贵兴信息技术有限公司 Water conservancy data management system based on big data
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7883029B2 (en) * 2007-03-23 2011-02-08 International Business Machines Corporation Irrigation system and methodology
US20130269798A1 (en) * 2012-04-11 2013-10-17 Kevin James Wood Programmable intelligent control method of and system for irrigation system
CN104460582A (en) * 2014-09-29 2015-03-25 贵州省水利科学研究院 Fuzzy-control-based internet of things intelligent irrigation and fertilization control method and system
CN106707767A (en) * 2017-03-13 2017-05-24 山东农业大学 System and method for integrally and intelligently controlling water and fertilizer in field based on multi-source information fusion

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7883029B2 (en) * 2007-03-23 2011-02-08 International Business Machines Corporation Irrigation system and methodology
US20130269798A1 (en) * 2012-04-11 2013-10-17 Kevin James Wood Programmable intelligent control method of and system for irrigation system
CN104460582A (en) * 2014-09-29 2015-03-25 贵州省水利科学研究院 Fuzzy-control-based internet of things intelligent irrigation and fertilization control method and system
CN106707767A (en) * 2017-03-13 2017-05-24 山东农业大学 System and method for integrally and intelligently controlling water and fertilizer in field based on multi-source information fusion

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CN110050666B (en) * 2019-04-29 2021-05-18 扬州大学 Rainfall forecast-based irrigation optimization method for small electromechanical rice irrigation areas
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CN110419415B (en) * 2019-04-29 2021-10-12 扬州大学 Rainfall forecast-based large irrigation area paddy field irrigation plan optimization method
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CN112317010A (en) * 2020-11-20 2021-02-05 北京中仪智控科技有限公司 Intelligent wheat flour milling-electronic flour mill system
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