357 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 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 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 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 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 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 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 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 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 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 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 relates to the technical field of irrigation area water and soil resource management, and discloses an irrigation plot multi-element information coding method comprising the following steps: S1, plot coding architecture design; s2, constructing a parcel code segmentation parameter database; s3, collecting and storing multi-element information; and S4, determining the land parcel code. According to the method, the multi-element information of the irrigation district canal system and the plot is visually and conveniently expressed by adopting the limited character length according to the established rule, the water consumption information and the plot multivariate attribute information on each plot are fully combined, and a unique identification code is compiled for each plot for identity recognition of the plot; water and soil resource management efficiency and scientific management level of the irrigation area are improved, and digital twinborn construction and modernization development of the irrigation area are assisted.

The invention relates to the technical field of agricultural irrigation, in particular to a precision agricultural drip irrigation system based on intelligent sensing and a control method thereof, and the system comprises an intelligent sensing module which is used for collecting meteorological data, soil humidity data and soil temperature data of different irrigation areas; the model prediction module comprises a moisture diffusion model and a rainfall prediction model which are respectively used for performing soil moisture diffusion prediction and rainfall prediction on different irrigation areas by utilizing the soil humidity data, the environment temperature data and the meteorological data, and outputting prediction results; the drip irrigation control module is used for controlling operation of a drip irrigation pump; the drip irrigation control module is further used for controlling electromagnetic valves in drip irrigation pipes in different irrigation areas to be opened and closed by utilizing an intelligent control mechanism according to the prediction result of the model prediction module so as to adjust the irrigation volumes in the different irrigation areas; the soil moisture diffusion rule can be predicted, repeated irrigation and irrigation blind areas are reduced, and waste of water resources is reduced.

The invention relates to the technical field of tea garden fog irrigation, in particular to a rotary fog irrigation machine and a use method. According to the technical scheme, the device comprises a conveying frame, a transposition driving assembly used for adjusting the irrigation position is installed at the top of the conveying frame, a water tank is installed at the top of the transposition driving assembly, a conversion assembly is installed at the top of the transposition driving assembly, and the water tank and the conversion assembly are connected through a high-pressure pump. The single-tooth rotating wheel pushes a third gear to rotate along a third auxiliary rotating rod every time the single-tooth rotating wheel rotates by a circle, so that a large difference value is generated between the rotating speed of fan blades and the rotating speed of the rotary mist irrigation assembly, in the process, the rotary mist irrigation assembly rotates to throw water mist to a farther distance through centrifugal force, and the water mist can be sprayed to the farther distance through centrifugal force; and the rotation difference value of the fan blades and the rotary fog irrigation assembly is also utilized, so that wind power can guide water mist to enter a standard area, the irrigation range is expanded, the control force on the irrigation area is improved, and the cost and time cost are also saved.

The invention relates to spray irrigation equipment and method, and belongs to the technical field of irrigation, a plurality of spray irrigation units are arranged on the side face of an irrigation area at intervals, and the spray irrigation area of the spray irrigation units completely covers the irrigation area; the water tower is arranged on the outer side of the irrigation area, connected with the sprinkling irrigation unit through a pipeline and used for storing a water source, and the water source is naturally injected into the sprinkling irrigation unit through the height difference between the water tower and the sprinkling irrigation unit; the air compressor is arranged on the outer side of the irrigation area, the air compressor is connected with the spray irrigation unit through a pipeline, and compressed air generated by the air compressor generates negative pressure in the spray irrigation unit to suck out a water source and scatter the water source at a high speed and spray the water source to the irrigation area; the technical problem that in the prior art, soluble minerals form incrustation, a small-interval structure is blocked, and the sprinkling irrigation stability is affected can be solved.

The invention discloses an irrigation district water distribution scheduling method and device and a medium, belongs to the field of irrigation district management, and aims to solve the problem that accurate irrigation cannot be uniformly and efficiently carried out, and the method comprises the following steps: determining a digital elevation model and a crop planting distribution diagram of an irrigation district; according to the digital elevation model and the crop planting distribution map, determining different irrigation subareas of the irrigation area, and a water delivery energy consumption coefficient, a crop suitability coefficient and a subarea water demand critical period of each irrigation subarea; constructing a water delivery energy matrix of the irrigation area according to the water delivery energy consumption coefficient of each irrigation subarea and the irrigation water demand in the irrigation period; determining a rotation irrigation group of the irrigation area according to the water delivery energy weight combination and the water delivery energy matrix of each irrigation subarea in the current irrigation period; and determining the irrigation time sequence of the rotation irrigation group according to the crop suitability coefficient of each irrigation subarea and the subarea water demand critical period. And water distribution in the irrigated area can be more efficiently and reasonably carried out.

The invention provides an irrigation area sediment deposition prediction method and system, computer equipment and a storage medium, and belongs to the field of water conservancy project intellectualization, and the method comprises the steps: collecting historical hydrological data, real-time monitoring data and remote sensing observation data of a to-be-predicted irrigation area; the method comprises the following steps: resampling historical hydrological data and real-time monitoring data, carrying out forward filling completion on missing data, filling remote sensing observation data into a unified time axis, and filling missing spatial features based on spatial feature values of an adjacent time reference to obtain multi-source data with time-space alignment; extracting features of the multi-source data to obtain four features; and combining the four features and calculating correlation weights among the features so as to determine the sediment flow, the sediment concentration and the sediment flow velocity of the to-be-predicted irrigation area. According to the method, aiming at the defect of non-uniform spatial and temporal distribution among multi-source data sources, spatial and temporal alignment is realized through time re-adoption and spatial feature completion, the input information can accurately reflect the sediment transportation process of an irrigation area, and the prediction accuracy is improved.

The invention discloses an irrigation water and fertilizer fine adjustment system and method, and relates to the technical field of agricultural irrigation adjustment, and the method comprises the steps of information collection and storage, visual feature recognition and growth stage matching, irrigation area division, water application amount and fertilization amount calculation, irrigation instruction generation and irrigation operation execution. According to the invention, crop information is collected and visual feature identification is carried out to determine a growth stage, a crop growth stage spatial distribution map is generated, and irrigation area division is carried out according to the map; water and fertility calculation is carried out according to the soil moisture content and the soil conductivity of the soil in the irrigation area to obtain the water application amount and the fertilizer application amount, finally, an irrigation instruction is generated according to the water application amount and the fertilizer application amount, irrigation operation is executed, accurate water and fertilizer supply for crops in different growth stages is achieved, and the irrigation water and fertilizer adjustment fineness is improved.

The utility model relates to the technical field of sewage treatment, and discloses a water-saving and pollution-reducing ecological circulation treatment system for an irrigation area, which comprises a main channel, a branch channel, a water diversion channel, the irrigation area, a channel tail ecological pool system, a water lifting channel and a pump station, the branch channel is arranged on one side of the main channel, one end of the branch channel is connected with the main channel, and the other end of the branch channel is connected with the water diversion channel. The water inlet end of the water diversion channel is connected with the first water outlet end of the branch channel, the water outlet end of the water diversion channel is connected with the second water outlet end of the branch channel, the irrigation area is located between the branch channel and the water diversion channel, and the water outlet end of the water lifting channel is connected with the branch channel; the water-saving and pollution-reducing ecological cycle treatment system for the irrigation area solves the problems that existing rural domestic sewage treatment has pollution risks, lacks high-quality real-time monitoring data and irrigation water demand prediction and cannot meet the requirement for timely monitoring water quality pollution or change trend.

The invention discloses a digital twinborn irrigation district-oriented water resource efficient utilization and rice population quality comprehensive evaluation method and system, and relates to the technical field of irrigation district water resource efficient utilization and agricultural technology evaluation. Comprising the following steps: constructing a five-dimensional multi-level comprehensive evaluation index system, and determining a level framework; weighting the second-level indexes based on an analytic hierarchy process and calculating scores of the first-level indexes; a comprehensive integration model is established, the five first-level index scores serve as input, the nonlinear relation between the indexes is automatically learned, and an irrigation area comprehensive performance index is output; an evaluation system and a CatBoost model are integrated to a digital twinborn irrigation area platform, and multi-source data automatic access, model online reasoning and evaluation result space visualization are achieved. According to the method, the problems that an existing evaluation method is split in system, difficult in index quantification, depends on subjective authority assignment and cannot achieve dynamic spatialization display are solved, and intelligent and engineering decision support is provided for collaborative optimization of irrigation area water resources and crop production.

The invention belongs to the technical field of irrigation disaster monitoring, and provides an irrigation disaster monitoring method and system based on remote sensing monitoring, and the method comprises the steps: carrying out the quantitative analysis of the growth data difference between an irrigation region and a surrounding region through a neighborhood matrix method, determining a suspected drought disaster region, and constructing a drought evaluation model of the suspected drought disaster region; determining whether the suspected drought disaster area is a drought disaster area; the irrigation area disaster monitoring efficiency is improved, the irrigation area disaster monitoring resource cost is saved, the drought time sequence is processed and analyzed by combining the self-correlation function and the partial self-correlation function, whether the drought occurrence of the drought disaster area has periodic changes or not is judged, the monitoring system of the drought disaster area is updated according to the periodic changes, and the drought disaster monitoring efficiency is improved. The irrigation area drought disaster monitoring efficiency is improved, the prediction model is constructed according to the analysis results of the autocorrelation function and the partial autocorrelation function, irrigation area drought prediction is achieved, irrigation area disaster comprehensive monitoring is achieved, and monitoring comprehensiveness is improved.

An irrigation water treatment device may include a housing and an oxygen nanobubble generator carried by the housing and coupled downstream from an irrigation water supply for an irrigation area and having a first pressure. The irrigation water treatment device may include a solid-state oxygen concentrator carried by the housing and supplying an oxygen stream to the oxygen nanobubble generator at a second pressure higher than the first pressure. The irrigation water treatment device may also include a biological additive device carried by the housing for the irrigation water, and an irrigation water outlet carried by the housing and coupled downstream from the oxygen nanobubble generator.

The invention relates to the field of irrigation valve control, in particular to an intelligent valve group for irrigation of hydraulic engineering and a control system. According to the system, firstly, humidity data of different soil depths of an irrigation area where each sprinkling irrigation valve is located at each moment and the valve opening degree of each sprinkling irrigation valve during last irrigation are obtained, and for each irrigation area, the humidity data of different soil depths are divided to obtain an irrigation period of each soil depth; obtaining the moisture demand degree of each soil depth based on the change of the humidity data in each irrigation period of each soil depth, and obtaining the optimal valve opening degree of each irrigation area according to the difference of the moisture demand degrees of the same soil depth between each irrigation area and other irrigation areas and the valve opening degrees of the other irrigation areas. And the crops are irrigated. The opening degree of the sprinkling irrigation valve can be accurately controlled, so that the requirement of current crops for water is met, and the irrigation effect is improved.