433 results about "Irrigation district" patented technology

The invention discloses a digital twinborn-based irrigation area water distribution scheduling method and system, and relates to the technical field of water distribution scheduling, and the method comprises the steps: collecting data, and constructing a digital twinborn model; dynamically simulating water resources in an irrigation area by using a hydrological model simulation technology based on a digital twinborn model; performing irrigation demand prediction by using a machine learning algorithm according to a simulation result; optimizing a water distribution scheduling model according to a prediction result; performing real-time scheduling control according to the scheduling strategy; performing scheduling effect evaluation according to the scheduling control data; adjusting a scheduling strategy according to an evaluation result; and performing irrigation area water resource management and long-term optimization by using an irrigation area water distribution scheduling system based on digital twinning according to an adjustment result. According to the method, the limitation of static weight distribution of a traditional method is overcome, the accuracy and flexibility of water distribution scheduling are improved, the actual requirements of a complex irrigation area environment are met, the maintenance cost and the operation risk are reduced, and efficient and stable operation of an irrigation area water distribution system is guaranteed.

The invention discloses a multi-source information fusion irrigation decision optimization method and platform, and relates to the related field of data processing, and the method comprises the steps: determining a data collection node, and enabling the data collection node to be determined by taking a preset time interval as a reference and taking an interval irrigation factor feature as a compensation amount; triggering source end acquisition equipment, synchronously performing data acquisition on the irrigation area, and determining multi-source information; performing fuzzy set analysis on the irrigation factors, mining a confidence coefficient matrix, and supervising and training an irrigation decision model; transmitting the multi-source information to an irrigation decision model, executing deisomerization and matrix operation decision, and determining an irrigation strategy; an intelligent irrigation decision-making system is carried, an irrigation strategy is responded, and irrigation equipment is managed and controlled. The technical problems that an existing irrigation decision is lack of intelligentization and low in decision precision are solved, and the technical effect of achieving intelligentization and precision of irrigation management is achieved.

The invention discloses an AI-based digital twinborn irrigation area automatic irrigation method and system, and relates to the technical field of artificial intelligence, and the method comprises the following steps: collecting data, and constructing a digital twinborn model; irrigation demand prediction is carried out according to the digital twinborn model; making an irrigation control decision according to the irrigation demand prediction result; performing automatic irrigation based on the irrigation control decision content; crop growth evaluation is carried out according to the irrigation execution result; performing irrigation strategy optimization according to a growth evaluation result; maintaining and updating the irrigation system according to the irrigation strategy; and performing water resource management based on the planning result. According to the method, the digital twin model can be updated in real time and adapt to environmental changes by introducing the data stream based on the Internet of Things and a reinforcement learning mechanism. The feedback mechanism based on AI and reinforcement learning enables the digital twinborn model to more accurately simulate an irrigation environment and provide an optimal irrigation strategy under different environmental conditions.

The invention discloses an irrigation area scale irrigation water consumption monitoring method based on physical constraint machine learning, and is applied to the technical field of irrigation water consumption monitoring. Comprising the following steps: constructing a space-time continuous sequence of irrigation response characteristics of an irrigation area by using a multi-source data integration and assimilation technology; the irrigation water amount balance equation and the earth surface energy conservation law are used as regularization terms of physical constraints to be embedded into the training process of the long and short term memory deep learning model, so that an irrigation water amount prediction model is established; and dynamically estimating the irrigation water consumption of the irrigation area based on the irrigation water consumption prediction model obtained by training. According to the method, the water balance equation and the energy conservation law are embedded into the machine learning model, so that the model prediction result follows the basic physical law, and water consumption estimation violating the physical common sense is avoided. The introduction of the physical constraint improves the robustness and generalization ability of the model under an unconventional climate condition or a limited training data condition, and enhances the credibility and interpretability of a result.

The invention discloses an intelligent fish and rice symbiosis ecological control system and method based on the Internet of Things. The system comprises a fish breeding area, a rice irrigation area and a circulating water channel arranged between the fish breeding area and the rice irrigation area. The central control platform is used for collecting a dissolved oxygen (DO) value and a pH value in a water body in real time through a plurality of water quality sensors configured in the system; the dissolved oxygen DO value and the pH value are water quality data; and analyzing the dissolved oxygen DO value, generating a water quality regulation and control instruction, and regulating the oxygenation equipment according to the water quality regulation and control instruction. The automatic buffering agent adding device is used for automatically adding a buffering agent according to an instruction sent by the central control platform; the oxygenation equipment comprises an aeration device and is used for adjusting the content of dissolved oxygen in the water body. According to the intelligent fish and rice symbiosis ecological control system based on the Internet of Things, the fish culture area, the rice irrigation area and the circulating water channel are integrated, effective management and control of the fish and rice symbiosis ecological system are achieved, the water body environment is optimized, and the symbiosis benefits of fishes and rice are improved.

The invention provides an intelligent agricultural irrigation optimization method and system, and relates to the technical field of agricultural management. The method comprises the following steps: acquiring first irrigation monitoring data of a plurality of sub-irrigation areas in a target planting area, calculating a temperature influence parameter and a humidity influence parameter of each sub-irrigation area, and constructing an irrigation feature vector of each sub-irrigation area; clustering the plurality of sub-irrigation areas to construct a plurality of irrigation area sets, calculating a water demand urgency factor of each irrigation area set and optimizing an initial irrigation scheme to obtain a first target irrigation scheme, and collecting second irrigation monitoring data of the plurality of sub-irrigation areas, and calculating an irrigation gain parameter of each irrigation area set, and optimizing the first target irrigation scheme to generate a second target irrigation scheme. According to the invention, accurate and efficient irrigation water distribution is realized.

The invention belongs to the technical field of Internet of Things prediction, and discloses a soil moisture content prediction method and system based on a BiLSTM-Transform dynamic weight hybrid architecture, and the method comprises the steps: collecting an observation data set of soil moisture content influence factors of an irrigation region, the observation data set comprising a meteorological element sequence and a soil parameter sequence; the method comprises the following steps: collecting time series data of soil moisture content influence factors, carrying out noise reduction processing on the time series data by adopting a wavelet noise reduction method to obtain noise reduction data, and filling missing values of the noise reduction data by adopting a linear interpolation method to obtain a continuous data set. According to the method, a feature fusion strategy is adaptively adjusted through a dynamic weight mechanism, the time sequence modeling capability of soil moisture content prediction is remarkably improved, parameter quantities are compressed while the prediction precision is kept, the feasibility of deployment on edge computing equipment is achieved, and the constructed framework has the advantages of improving the stability of a prediction result and improving the prediction efficiency. And the prediction result error of the soil moisture content can be effectively reduced.

The invention provides an irrigation district water resource optimal configuration, scheduling and control system and software, the system comprises a water resource configuration module, a water volume optimal scheduling module and an operation control module, the water resource configuration module is used for realizing a water resource configuration process, and comprises three parts of objective function determination, model expression and model solution; and in the water volume optimization scheduling module, according to a water resource configuration model, time period parameters are substituted for solution to obtain the water distribution volume of each time period of each water consumption unit, and then water volume scheduling is carried out according to the water distribution volume. According to the invention, all-around and multi-layer configuration of water resources is realized; according to the method, a reasonable objective function is determined, for example, economic benefits, social benefits, natural resource balance and the like are considered, and a corresponding mathematical model is constructed to express a water resource allocation problem, so that a basis is provided for solution, and accurate management of water resources is realized. The objective function can reflect the demands of different benefit groups, and ensures the fairness and sustainability of water resource allocation.

The invention provides an intelligent irrigation district management method and system based on the Internet of Things, and the method comprises the steps: obtaining the real-time irrigation water amount and water pump energy consumption data of each water conveyance channel in a target irrigation district; according to the real-time irrigation water amount and the water pump energy consumption data, generating a dynamic water resource supply and demand relation graph; determining a target water delivery channel corresponding to the water resource transaction request of the water consumption terminal of each irrigation area from a target irrigation area, and if any target water delivery channel has a condition that a water pump is overloaded or a deposition diffusion coefficient value is greater than a preset diffusion coefficient threshold value, determining the water resource transaction request of the water consumption terminal of each irrigation area based on a dynamic water price adjustment rule and a dynamic water resource supply and demand relationship graph, generating a water resource transaction price of the target water conveyance channel; and according to the water resource transaction prices of all the target water conveyance channels and the node states in the dynamic water resource supply and demand relationship graph, generating target water conveyance optimization parameters of each target water conveyance channel. The water resource allocation efficiency of the irrigation area and the operation stability of the water conveying system are improved.

The invention relates to a multi-source data driven farmland irrigation decision-making method and device, equipment and a medium. The method comprises the following steps: acquiring multi-source heterogeneous data; carrying out fusion processing on the multi-source heterogeneous data, and constructing a unified farmland information database; performing spatial analysis on the data in the farmland information database; based on the analysis result, a preliminary irrigation prescription scheme is generated in combination with soil variation information and a crop water demand rule; on the basis of the preliminary irrigation prescription scheme, dividing the farmland into different irrigation areas, and calculating to obtain differential irrigation parameters of each irrigation area; integrating the differentiated irrigation parameters to obtain a differentiated irrigation strategy corresponding to each irrigation area; and dynamically optimizing a farmland irrigation decision based on each irrigation strategy. By adopting the method, multi-source data such as soil humidity, meteorological conditions and crop growth states can be effectively integrated, and a decision-making method capable of analyzing and generating an optimal irrigation scheme in real time is constructed.

The invention relates to the field of data processing, and particularly provides a reservoir irrigation area water resource allocation method based on big data analysis, which comprises the following steps: acquiring allocation detail information of a reservoir template and an irrigation demand training label, and acquiring an irrigation demand training label from the allocation detail information of the reservoir template; obtaining water resource allocation sequence characteristics of the reservoir template and drainage basin basic characteristics of a drainage basin template corresponding to the reservoir template; performing irrigation demand estimation on the irrigation area template by adopting a basic water resource allocation algorithm according to the water resource allocation sequence features and the basin basic features to obtain irrigation demand estimation information of the irrigation area template; and according to the irrigation demand training label and the irrigation demand estimation information, training the basic water resource allocation algorithm to obtain a target water resource allocation algorithm. According to the invention, the accuracy of the training template can be improved, and the accuracy of irrigation demand prediction by the algorithm is improved.

The invention provides an irrigation district water resource scheduling optimization method based on cloud computing, and the method comprises the following steps: collecting irrigation district multi-source data in real time through a space-air-ground integrated sensing network, and uploading the data to a cloud platform after preprocessing; the method comprises the following steps: constructing digital twin bodies of an irrigation area in a cloud platform, dividing the irrigation area into a plurality of sub-areas according to water consumption attributes, and integrating hydraulics and hydrological agriculture models; real-time data and future weather information are fused, and a water demand prediction value is generated through a water demand prediction model by taking the sub-region as a unit; a scheduling scheme is generated by adopting a multi-objective optimization algorithm based on the predicted value, and the minimum economic benefit, water resource utilization rate and energy consumption are taken as optimization objectives; and performing simulation evaluation on the scheme by using the digital twinborn body, outputting a performance index aided decision, and finally determining an optimal scheduling scheme. According to the method, accurate prediction, dynamic optimization and intelligent scheduling of the water resources in the irrigation area are realized, and the utilization efficiency of the water resources and the irrigation management level are improved.

The invention discloses a distributed intelligent drip irrigation control system based on the Internet of Things, and belongs to the technical field of agricultural irrigation. The distributed intelligent drip irrigation control system comprises a basic water conservancy facility used for providing a water supply demand of certain water pressure for a drip irrigation system; the water tower is designed as a constant-pressure water source to ensure the water pressure uniformity of the whole irrigation area; the water and fertilizer mixing box is used for mixing fertilizer and water in proportion to form a water and fertilizer solution suitable for being absorbed by crops, the mixing proportion is determined by an algorithm # imgabs0 #, F is the fertilizer concentration, Nreq is the nutrient amount needed by the crops, and Nsoil is the current nutrient amount in soil. According to the invention, through efficient and accurate water and fertilizer resource management, the problems of unreasonable resource allocation, low utilization efficiency and the like in a traditional irrigation method are solved, and through integration of an advanced sensor technology, a wireless communication module and an intelligent control algorithm, accurate regulation and control of farmland water and fertilizer supply can be realized; and an irrigation strategy can be automatically adjusted according to real-time environment data and crop growth conditions.

The invention provides an irrigation district reservoir and canal system water resource joint optimization scheduling method and device based on partition decoupling, and the method comprises the steps: obtaining the topological information of a target irrigation district reservoir and canal system, carrying out the irrigation division, and determining the water supply and demand of a future time period; based on the topological information, aggregating and generalizing each reservoir and channel in the irrigation area reservoir and channel system into a plurality of aggregated reservoirs and aggregated channel systems according to a coupling relationship, and dividing the target irrigation area reservoir and channel system into a plurality of subareas; channel water distribution flow feasible regions of different types of aggregation channel systems are deduced step by step from bottom to top from the last-stage channel; a double-layer water resource joint optimization scheduling model is established, the upper layer takes the maximum sum of the ratio of the water supply amount to the water demand amount of each subarea as the optimization target, and the lower layer takes the shortest water delivery time and the minimum water delivery loss of each subarea as the optimization target; the model is solved, the optimal water supply amount of each partition and the flow of the reservoir and the channel of each partition are obtained, and a scheduling optimization scheme is obtained. The method can maximize the water-saving benefit of the irrigated area.

The invention discloses an irrigation district water storage management and control system and a dynamic water storage management and control method for slope planting, and relates to the field of mountain water resource management and agricultural irrigation, and the irrigation district water storage management and control system comprises a server side which is used for deploying front and rear end codes, files, models and databases; the background management control platform is used for managing and controlling water storage stations, drip irrigation valves, soil moisture content information, crop planting information, crop fertilization information and data analysis related models in an irrigation area; the foreground statistical analysis platform is used for monitoring, analyzing and visually displaying the information in the irrigation area; and the mobile terminal management and control platform is used for checking the multi-dimensional information of the irrigation area in a portable manner and performing corresponding management and control. According to the method, the large-scale multi-point-position operation state is displayed in a partitioned, blocked and multi-dimensional manner by combining terrain and geographic information data, and the method can adapt to visual monitoring, management and control of irrigation areas in complex geographic environments such as slopes and the like.

The invention relates to the technical field of water conservancy monitoring, and provides an intelligent water conservancy monitoring method for an irrigation area and related equipment thereof. Water body boundary extraction is carried out on remote sensing image data to obtain an initial water body boundary data set, time sequence interpolation processing is carried out on the initial water body boundary data set to obtain a water body change trend data set, and soil moisture content prediction deduction is carried out according to a satellite cloud picture and the water body change trend data set to generate a soil moisture content prediction data set. Performing water level and area fitting on the regional DEM according to the water body change trend data set to construct a water storage capacity model, and performing crop water demand calculation according to regional data and crop data to obtain a crop water demand matrix data set; and performing constrained programming according to the soil moisture content prediction data set, the crop water demand matrix data set and the water storage capacity model to obtain a multi-target irrigation scheduling decision set. According to the application, dynamic balance between irrigation requirements and water resource supply is realized through multi-level and multi-source data fusion and intelligent scheduling.

The invention discloses an irrigation area ditch drainage-farmland waterlogging simulation evaluation method. The method comprises the following steps: S1, obtaining meteorological and hydrological data, DEM data, drainage facility vector data and land utilization classification data of a target area; s2, generalizing a drainage system of the irrigation area, and generating nodes, drainage channels and sub catchment area. Shp files; s3, converting the. Shp file into an. Inp file, constructing a parameterized model, and performing parameter calibration and verification on the model; s4, simulating waterlogging conditions under different rainfall and channel siltation situations; s5, extracting overflow node data, and performing flood inundation analysis; and S6, generating a flood risk density map according to the overflow node data. The invention further discloses an irrigation area ditch drainage-farmland waterlogging simulation evaluation system. According to the irrigation area ditch drainage-farmland waterlogging simulation evaluation method and system disclosed by the invention, the problem that ditch drainage simulation and farmland waterlogging risk evaluation cannot be carried out under an irrigation area waterlogging disaster in the prior art is solved.

The invention discloses an irrigation area data anomaly analysis method and a server, and relates to the field of data anomaly analysis, and the method comprises the steps: obtaining irrigation area canal system topological data and sensor deployment information, and constructing a topological cause and effect graph; acquiring time sequence data for the sensor pair in the topological causal diagram, and determining a time-space lag parameter; constructing a physical conduction prediction model; acquiring actual measurement time sequence data of the downstream sensor and real-time time sequence data of the upstream sensor, and generating physical expected time sequence data of the downstream sensor according to the real-time time sequence data and the time-space lag parameter by using the physical conduction prediction model; and calculating a residual sequence based on the actual measurement time sequence data and the physical expected time sequence data of the downstream sensor, and determining whether the data of the downstream sensor is abnormal or not based on the residual sequence. The problem of high false alarm rate in irrigation area application can be effectively solved.

The invention discloses an energy efficiency optimization method and system for an irrigation area, a storage medium and electronic equipment, and relates to the field of intelligent irrigation. The method comprises the steps that crop information and soil information of all sub-areas in an irrigation area are obtained, and the irrigation area is communicated with branch pipelines of all the sub-areas through a main pipeline; for any sub-region, according to the crop information and the soil information, determining the irrigation amount and the irrigation priority required by crops in the sub-region; according to the irrigation amount and the irrigation priority corresponding to each sub-region, a first irrigation plan of a connected region is generated, the connected region is composed of at least two sub-regions, and the first irrigation plan comprises an irrigation mode for irrigating crops in each sub-region in the connected region in different time periods. By implementing the technical scheme provided by the invention, the overall energy efficiency optimization of the irrigation system can be realized.

The invention relates to the technical field of agricultural irrigation, and discloses a high-efficiency water-saving intelligent drip irrigation system which comprises a soil humidity sensor used for monitoring the humidity level in soil in real time; the meteorological sensor is used for monitoring environment temperature, humidity, wind speed, wind direction and rainfall; the central controller is connected with the soil humidity sensor and the meteorological sensor and used for receiving and processing sensor data and dynamically adjusting the irrigation area and the irrigation amount based on the data; and the partition control valves are mounted on branch nodes of the irrigation pipe network, are connected with the central controller and are used for controlling the water flow of each irrigation area according to instructions of the central controller. By monitoring soil humidity and meteorological conditions in real time, the system can accurately control irrigation time and water volume according to actual requirements. According to the demand-driven irrigation strategy, waste of water resources is greatly reduced, it is ensured that irrigation is conducted at the most needed time, only the needed water is supplied, and the use efficiency of the water resources is further optimized.

The invention relates to the technical field of agricultural irrigation, and discloses a water-saving irrigation intelligent self-adaptive regulation and control system which comprises a sensor module including a soil humidity sensor, a meteorological sensor group and a crop growth sensor group, and the soil humidity sensor and the crop growth sensor group are installed in a farmland; and the meteorological sensor group is arranged near the farmland. According to the intelligent self-adaptive regulation and control system and method for water-saving irrigation, various sensors are integrated, so that data such as real-time temperature, humidity, rainfall and wind speed of an irrigation area and data such as plant height, leaf area and chlorophyll content of crops are monitored, and indexes for further reflecting the water demand condition of the crops are provided. According to the method, comprehensive and accurate environment and crop information can be obtained in real time, comprehensive analysis is carried out by utilizing an algorithm based on the data, and the actual water demand of the crops in different growth stages is accurately determined, so that targeted irrigation of the land is realized, and water source waste is reduced.

The invention provides an irrigation district water diversion quantity multistage distribution method under total quantity index constraint, comprising the following steps: dividing an irrigation district into a plurality of calculation units based on an administrative division boundary and a canal system network; respectively calculating the initial water demand of each calculation unit under the living water demand, the industrial water demand, the agricultural water demand and the ecological water demand; based on the initial water demand and according to multiple water resource rigid constraint indexes, performing at least one round of checking and pressure reduction on the initial water demand of each calculation unit to obtain an initial distribution water amount of each calculation unit; and carrying out secondary distribution on surplus water generated after checking and pressure reduction, and compensating the calculation units of which the water demand is not met to obtain the final distribution water of each calculation unit. According to the method, fair, reasonable and efficient distribution of water resources in a complex system with cross coupling of administrative division and canal system networks is realized, and the problems of conflict between a scheme and actual management requirements, water consumption contradiction and the like caused by a traditional single-dimension distribution method are avoided.

The invention discloses an irrigation district canal network water transmission and distribution optimization regulation and control method and device, electronic equipment and a medium. The method comprises the steps that irrigation district irrigation data recorded by historical characters and irrigation district irrigation data collected by a sensor after informatization construction are collected; constructing a canal network hydrodynamic model; calibrating the canal network hydrodynamic model by using the irrigation data of the irrigation area, and generating a simulation data set by using the calibrated canal network hydrodynamic model; constructing a Transform model, and training the model by using the simulation data set; using the trained model and a particle swarm algorithm, and combining with an optimization target to find an optimal gate scheduling scheme; and acquiring actual irrigation data of the irrigation area applying the optimal gate scheduling scheme, and retraining the trained model by taking the actual irrigation data of the irrigation area as negative feedback. The water demand of crops in an irrigation area is more accurately met, and popularization and use and future model iteration are facilitated while optimal utilization of water resources is achieved.

The invention discloses a rice irrigation district irrigation amount simulation method and system, and the method comprises the steps: taking a region controlled by a backbone channel and a drainage main ditch as a standard for dividing sub-units based on a DEM and a digital canal system, carrying out the grid division of the sub-units, and obtaining an irrigation district sub-basin division result; constructing a dynamic irrigation triggering mechanism of each irrigation area sub-basin, and determining a multi-water-source cooperative scheduling scheme of each irrigation area sub-basin based on the division result of the irrigation area sub-basin; and when each irrigation sub-basin is irrigated according to the multi-water-source cooperative scheduling scheme, calculating the canal system leakage amount in each irrigation sub-basin, and determining a water distribution scheme of each irrigation sub-basin according to the canal system leakage amount. The method can be used for quickly and accurately simulating the irrigation amount and the runoff volume of the rice irrigation area, and provides a scientific basis for formulating agricultural management measures and screening water-saving high-yield technical modes.

The invention provides an irrigation system for landscaping, which comprises a drainage channel, a settling tank arranged at the tail end of the drainage channel, a secondary filter screen plate arranged in the settling tank, a guide rod arranged above the secondary filter screen plate in the settling tank, a cleaning brush slidably arranged on the guide rod, a reciprocating slide block I arranged on the cleaning brush, and a multiscrew rod I rotationally arranged on the settling tank, a first rotating rod is rotationally arranged in the settling tank, a first hydraulic plate is arranged on the first rotating rod, and the first rotating rod and the first reciprocating lead screw are arranged in a transmission mode; an overflow port I is formed in the side wall of the settling tank; a water storage tank is correspondingly arranged below the overflow port I, and an overflow port II is formed in the side wall of the water storage tank; a water delivery pump is arranged outside the water storage tank, an inlet of the water delivery pump is connected with the second overflow port, an outlet of the water delivery pump is connected with a distribution pipe pipeline, a water distribution pipe is arranged on the distribution pipe and extends to each irrigation area, and a spraying device is arranged corresponding to each irrigation area and connected with the water distribution pipe. The irrigation system for landscaping provided by the invention can efficiently irrigate gardens on the premise of saving energy.

The invention provides an implementation method of an irrigation area real-time data monitoring system based on unmanned aerial vehicles, and the method comprises the steps: uniformly deploying an unmanned aerial vehicle group over an irrigation area, and enabling the unmanned aerial vehicle group to comprise a monitoring unmanned aerial vehicle and a plurality of working unmanned aerial vehicles; the unmanned aerial vehicle establishes a position table by sending a position message; the monitoring unmanned aerial vehicle establishes an irrigation district table by sending irrigation district information; wherein the position message comprises a message ID, a coordinate, energy and a node ID, the irrigated area message comprises a message ID, a coordinate, a source two-tuple set and a destination two-tuple set, and a two-tuple comprises a node ID and a coefficient; according to the implementation method of the irrigation area real-time data monitoring system based on the unmanned aerial vehicle, provided by the invention, the unmanned aerial vehicle can quickly obtain monitoring data of an irrigation area environment, such as humidity and drought degree, so that effective measures are taken, healthy growth of crops and sustainability of crop production are ensured, and the implementation method has a wide application prospect.

The invention discloses an intelligent irrigation system based on environmental perception, and belongs to the technical field of irrigation systems. Comprising a plurality of acquisition terminals, an intra-domain orthographic projection acquisition unit, a photosynthetic determination unit, an irrigation processing host and an irrigation system, and the acquisition terminals are distributed in an irrigation area; the acquisition terminal comprises an acquisition controller, and the acquisition controller is connected with a soil moisture content transmitter and a sampling point plant orthographic projection acquisition unit; at least one acquisition terminal is provided with a temperature transmitter and an air humidity transmitter which are connected with the acquisition controller; a sensing processing system is arranged in the irrigation processing host; the intra-domain orthographic projection acquisition unit is connected to the irrigation processing host; and the irrigation processing host is connected with the irrigation system. According to the intelligent irrigation system based on environmental perception, the irrigation amount of plants in the irrigation area can be accurately predicted according to the environmental perception, the soil moisture content and the plant growth state data; and crops can obtain accurate moisture.

The invention discloses a digital twinborn irrigation district visualization method and browser based on network graphical processing, and belongs to the technical field of irrigation district visualization. An irrigation district visualization scheme in the prior art cannot effectively meet the requirements for data processing timeliness and irrigation district visualization display in a complex irrigation district visualization scene. According to the digital twinborn irrigation area visualization method based on network graphical processing, an irrigation area drainage basin visualization unit, an irrigation area coordinate construction unit, a hydrological change simulation unit and a three-dimensional irrigation area generation unit are created, and hydrological change data of an irrigation area are mapped into simulation information in a geographic information system coordinate system; according to the method, the simulation information and the geographic information map are coupled, and meanwhile, parallel rendering processing is carried out, so that large-scale or complex irrigation area data can be efficiently processed, the processing timeliness requirement of the geographic information data is met, a finer visual effect can be provided, and the requirement of visual display of the irrigation area is met.

The invention discloses a garden irrigation intelligent analysis system and method, and relates to the technical field of artificial intelligence, and the system comprises an irrigation area monitoring end, an irrigation mode analysis end, and an irrigation analysis correction end. The irrigation area monitoring end is used for judging whether irrigation reaches the standard or not in real time according to the area of the area and the irrigation flow speed and judging whether the irrigation position deviates or not in real time; the irrigation mode analysis end is used for analyzing the irrigation state of the corresponding time period in real time according to the irrigation position and the soil moisture complement amount and judging whether the irrigation mode can continue to be executed or not in time; the irrigation analysis and correction end is used for timely judging whether garden irrigation meets irrigation requirements or not and automatically adjusting garden irrigation parameters in combination with weather changes and rainwater irrigation early warning information. According to the intelligent garden irrigation analysis system and method, whether the irrigation position is abnormal or not is monitored in real time in the whole process, whether the irrigation mode at the current moment can be executed or not is judged in time according to the irrigation state, irrigation parameters can be automatically regulated and controlled according to weather changes, and water resource waste is avoided.

The invention discloses an intelligent regulation and control system for cotton growth in an arid region, and the system comprises the steps: carrying out the periodic fixed-point scanning type soil conductivity detection of a cotton planting region through a conductivity sensor carried by an unmanned plane, and obtaining a soil conductivity time sequence; the camera collects a plurality of remote sensing images of a cotton planting area in real time; the regulation and control terminal performs cotton region division on the complete orthoimage of the cotton planting region according to the position coordinates of the fixed points of the conductivity sensor; constructing a time-varying vector autoregression model, calculating the dynamic influence of a soil conductivity time sequence and meteorological data on the water and salt content through an impulse response function, and determining the contribution degree of each variable to the change of the water and salt content through variance decomposition; screening a to-be-irrigated area, and generating a transverse and longitudinal operation connection path of the irrigation equipment by considering the U-turn area constraint. According to the method, the dynamic influence relation between variables is fully considered, and irrigation requirements are accurately reflected; and the operation path of the irrigation equipment is generated through the path planning module, so that intelligent regulation and control of cotton growth are realized.