61 results about "Canal system" patented technology

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 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 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 belongs to the technical field of irrigation management and control, and provides a multi-source sensing data-driven irrigation area water demand prediction and accurate water distribution method. The method comprises the steps of obtaining multi-source data of a target irrigation area when a preset irrigation condition is met; performing quantitative evaluation on the first soil water content data and the second soil water content data based on the meteorological data to determine respective confidence degrees, and giving dynamic weights based on the confidence degrees, the temporal and spatial variation characteristics and the actual condition of the irrigation area; performing fusion processing on the first soil water content data and the second soil water content data based on the dynamic weight to obtain third soil water content data; on the basis of the third soil water content data and the crop growth stage data of the target irrigation area, the water demand of the stage is predicted; and generating a control instruction of the intelligent valve of the water delivery canal system based on the water demand. The accuracy of water demand prediction can be remarkably improved, the problems of water resource waste and insufficient supply are reduced, and efficient utilization and scientific management of water resources in an irrigation area are 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 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 embodiment of the invention provides a water and sediment concentration and water quality multi-index automatic monitoring and analyzing device for a southern Xinjiang canal system, and relates to the technical field of environment monitoring. Comprising a steel rope connecting ring, the outer wall of the steel rope connecting ring is rotatably connected with a collecting frame, and the bottom of the collecting frame is fixedly connected with a counterweight circular plate. The rotating rod drives a driving bevel gear to rotate, the driving bevel gear drives a driven bevel gear and the rotating rod to rotate, the rotating rod drives a propeller to rotate, the propeller sucks water into a pressure suction cylinder through a filtering water inlet pipe so that the gravity of the device can be increased, redundant water is discharged out of a water discharging pipe, and through propelling force generated by discharged water flow, the water is discharged out of the water discharging pipe. The equipment can accelerate the settling velocity and quickly reach a predetermined detection water area, so that the sampling time is greatly shortened, and the working efficiency is also remarkably improved.

The invention discloses an irrigation decision determination method considering a multi-source water conversion process, and relates to the technical field of agricultural water conservancy irrigation, and the method comprises the steps: obtaining a multi-spectral image and a thermal infrared image of crops in a target irrigation region, calculating a vegetation index and a leaf area index, and combining with the actually measured growth vigor data of the crops, a growth vigor model of crops is constructed by establishing a mapping relation, the rainfall, the irrigation volume, the canal system infiltration replenishment volume and the groundwater capillary rise volume of a target irrigation area are obtained, and a soil moisture income and expenditure model is constructed based on a water circulation process. According to the method, a plurality of paths such as rainfall, irrigation, canal system leakage and groundwater capillary rise are considered through the constructed soil water volume income and expenditure model, crop physiological moisture inflection points are accurately recognized by simulating the root zone volumetric moisture content and growth vigor response curve, threshold control irrigation based on crop requirements is achieved, and the crop yield is improved. And the multi-source input and conversion process of the farmland hydrological system is comprehensively reflected.

The invention relates to an irrigation area canal system logic generalization graph generation method based on multi-source data fusion. The method comprises the steps of obtaining multi-source related data of an irrigation area, and performing preprocessing to obtain holographic data of the irrigation area; performing feature extraction according to the holographic data of the irrigation area, and determining a channel system contour line layer, a running water path layer and a continuous attribute layer; matching the channel system contour line graph layer with the running water path graph layer, comparing with the existing channel system vector graph layer, and screening to obtain a channel; generating an irrigation area topological graph based on the channel extraction nodes and the connection relationship in combination with control facility information; and according to a preset drawing rule, generating an irrigation area canal system logic generalization graph according to the irrigation area topological graph. By adopting the method, the remote sensing image, the three-dimensional point cloud, the vector layer and the sensor data can be utilized to construct a feature layer fusion mechanism and a topology identification mechanism under a unified geographic reference system so as to improve the accuracy of channel line extraction and the automation degree of channel system logic modeling.

The application discloses a method and related equipment for reconstructing a canal system based on farmland irrigation capacity, and the method comprises the following steps: acquiring various water source data, canal network data and farmland plot data of a target area; constructing a weighted directed graph based on the various water source data, canal network data and farmland plot data; calculating the network reachability, water supply adequacy and water demand pressure reciprocal of each farmland plot according to the weighted directed graph, and then calculating the comprehensive irrigation capacity index of each farmland plot; determining a farmland plot to be reconstructed based on the comprehensive irrigation capacity index of each farmland plot; and solving a preset planning model with the minimum total reconstruction cost as the target based on the farmland plot to be reconstructed and the comprehensive irrigation capacity index of the farmland plot to be reconstructed, so as to obtain a canal system reconstruction scheme. The application can realize quantitative trade-off between irrigation benefits and investment costs, thereby maximizing the overall improvement benefits of the irrigation system under the limitation of the investment cost budget, and can be widely applied to the field of agricultural water conservancy technology.

The utility model discloses an assembly type canal lining device, and belongs to the technical field of water conservancy projects. The device comprises a horizontal module and a slope module, the horizontal module is provided with a clamping groove opening, a clamping groove hole, a tenon and a first expansion rubber water stop block, and the slope module is provided with a tenon, a clamping groove opening, a clamping groove hole and a second expansion rubber water stop block. All the modules are connected through tenon-clamping groove structures, the horizontal modules and the slope modules are connected to adapt to the current gradient of a channel, and the adjacent horizontal modules and slope modules are connected to adapt to the bottom slope and the width of the channel correspondingly. And the water stop blocks on the module tenons and the elastic sealing materials at the joints form a multiple water stop structure. The device is simple in structure, convenient to operate, good in water stopping effect, high in adaptability and capable of effectively overcoming the defects of an existing canal lining technology, improving the canal system water utilization coefficient and reducing water resource waste.

This invention provides a method and system for economical operation scheduling of water source pumping stations based on time-of-use pricing. By constructing a two-layer architecture model for water lifting capacity configuration and start-up combination decision-making, and using unit start-up and shutdown limits, canal system safety operation, and ten-day water lifting targets as constraints, an optimization model is built and solved to minimize pumping station operating energy consumption and electricity costs, accurately generating start-up combination schemes for each time period within a ten-day period. This invention overcomes the scheduling limitations of discrete flow regulation for constant-speed pump units, comprehensively considering engineering safety, water supply safety, and operational economy. It constructs a scheduling methodology adapted to the dual constraints of poor unit flexibility and weak canal system regulation and storage, achieving economical operation based on time-of-use pricing while ensuring the dynamic optimization performance of the model, improving the robustness and intelligence of scheduling decisions, and filling the research gap in the optimized scheduling of pure constant-speed pump water source pumping stations.

The application relates to the technical field of image processing, in particular to an image acquisition method for canal system engineering in an irrigation area based on a UAV (unmanned aerial vehicle). A canal system gray-scale image is segmented to obtain a canal surface region and a non-canal surface region. According to the corner point distribution characteristics in the non-canal surface region, a corner point uniformity factor is obtained, and according to the difference of the corner point uniformity factor, a region characteristic intensity is obtained. According to the number of corner points and the region characteristic intensity of the non-canal surface region, a non-canal surface traversal region robustness index is obtained. According to the water line mark length characteristics, water mark completeness is obtained, according to the distribution characteristics and distance characteristics of the pixel points, a canal surface region color distance difference is obtained, and according to the water mark completeness and the region color distance difference, a canal surface traversal region robustness index is obtained. According to the canal system traversal robustness index, the range of image splicing can be adaptively determined, the splicing efficiency is improved while the splicing effect is ensured, and the acquisition efficiency of the canal system overall view image is improved.

The invention provides a canal system topological relation intelligent generation method and system. The method comprises the following steps: forming an irrigation canal position point based on identification position information of an irrigation canal; overlapping elevation value grid data on the irrigation channel position points to generate an irrigation channel point set with latitude and longitude and elevation attributes; calculating the direction gradient between each point in the irrigation channel point set and other points in the spatial neighborhood of the irrigation channel point set; generating a candidate edge according to the direction gradient, wherein the attributes of the candidate edge comprise a starting point, an end point, the length of the edge, the elevation difference and the direction gradient; the candidate edges are input into the trained GNN architecture model to predict the connection probability of the candidate edges, and the labeled candidate edges are used as sample data for training by the GNN architecture model; and screening the candidate edges of which the connection probability is higher than a preset threshold value, and forming an initial canal system connection edge set according to the screened candidate edges. According to the method, the channel system topological relation can be automatically and intelligently generated, so that the channel system network can be quickly generated based on the position points of the channel system.

The single-hole multi-channel sheathing canal system comprises an incision sleeve and a first flexible sealing cover, the incision sleeve is communicated with the first flexible sealing cover in a sealed mode, and meanwhile a plurality of connecting holes are formed in the other end of the first flexible sealing cover; each connecting hole is provided with a flexible pipe sealing assembly, and each flexible pipe sealing assembly is connected with the first flexible sealing cover through a rigid sealing assembly. According to the sheath tube system, the connecting areas of the flexible sealing tube assemblies and the first flexible sealing cover have high rigidity through the rigid sealing assemblies, so that the overall flexibility of the sheath tube system is guaranteed, and meanwhile the non-deformable local rigidity is guaranteed in part of areas; therefore, the air tightness of the sheathing canal system is ensured, operation at any limit angle in the hemispherical space is realized, the flexibility of instrument operation is improved, and meanwhile, the realization of the limit operation angle can also ensure that all instruments do not interfere with one another when a plurality of instruments are operated.

This invention discloses a gate-controlled canal system and method for simulating the transport process of new pollutants, comprising an experimental chamber, a multi-stage gate control unit, and an environmental control and monitoring unit. The experimental chamber has multiple fixed partitions inside, forming water flow channels between adjacent partitions, allowing experimental water to circulate repeatedly along these channels. The multi-stage gate control unit includes multiple adjustable flow gates located inside the experimental chamber, dividing the water flow channels into multiple study zones. The environmental control and monitoring unit includes an automatic controller, a hydrodynamic propulsion device, a temperature control device, an aeration device, a lighting device, and an online water quality monitoring device. This invention achieves accurate simulation of the core characteristics of gate-controlled canals, such as multi-stage gate regulation, stepped water levels, and variable hydraulic residence time, providing a key experimental means for studying the migration and transformation behavior of new pollutants under complex hydraulic conditions.

The irrigation canal system comprises a main canal, a plurality of branch canals and a plurality of water distribution assemblies, the branch canals are sequentially arranged in the length direction of the main canal, one end of each branch canal communicates with the main canal, and the bottom face of each branch canal is higher than the bottom face of the main canal. The water distribution assemblies correspond to the branch channels in a one-to-one mode, each water distribution assembly comprises a baffle and a driving part, the baffles are installed at the junctions of the main channel and the branch channels and can slide relative to the main channel, and the sliding tracks of the baffles are provided with first positions separated from the main channel. The bottom end of the second position is attached to the inner wall of the main channel, and the top end is aligned with the bottom surfaces of the branch channels. By means of the irrigation canal system, after the upstream branch canal draws water and the water level of the main canal drops, the subsequent branch canal can still smoothly draw water, and it is avoided that water drawing operation of the downstream branch canal is affected by water drawing of the upstream branch canal.

The application discloses an irrigation area data anomaly analysis method and a server, relates to the field of data anomaly analysis, and comprises the following steps: acquiring irrigation area canal system topological data and sensor deployment information, and constructing a topological causal diagram; acquiring time series data for a sensor pair in the topological causal diagram, and determining a space-time lag parameter; constructing a physical conduction prediction model; acquiring actual measurement time series data of a downstream sensor and real-time time series data of an upstream sensor, and generating physical expected time series data of the downstream sensor by using the physical conduction prediction model according to the real-time time series data and the space-time lag parameter; and calculating a residual sequence based on the actual measurement time series data and the physical expected time series data of the downstream sensor, and determining whether the data of the downstream sensor is abnormal based on the residual sequence. The application can effectively solve the problem of high false alarm rate in irrigation area application.

The utility model discloses a building optimization structure for an irrigation district canal system, which belongs to the technical field of irrigation district canal systems and is characterized by comprising a slope body, the top of the slope body is fixedly connected with a drainage component, the front side of the slope body is clamped with a building block component, the building block component comprises cells, and the cells are clamped on the front side of the slope body. Inverted filter pads are fixedly connected to the bottoms of the cells, drainage pads are fixedly connected to the tops of the inverted filter pads, planting blocks are clamped in the cells, planting plates are clamped in the cells, the effect of preventing the slope from collapsing is achieved by arranging the building block assembly, meanwhile, the shear strength of soil is improved, and the stability of the slope is improved; according to the device, the occurrence risk of geological disasters such as landslide and collapse is reduced, the amount of pollutants entering a water body is reduced, the water quality is improved, meanwhile, rainwater drainage is conveniently guided in the rainfall process by arranging the drainage assembly, rainwater can be prevented from being concentrated at plant root systems, and therefore it is avoided that the water content of the plant root systems is too large due to rainwater.

The utility model discloses a composite canal system for a large-area planting site, which comprises a canal main body, a plurality of planting grooves are arranged above the canal main body at intervals along the outline direction of the canal main body, and each planting groove comprises a main groove body and a limiting structure fixedly connected with the main groove body. The planting groove is limited and mounted on the canal main body through a limiting structure; the height-adjustable shelf type planting groove is mounted above the canal body, various aquatic plants or vegetables can be cultivated in the planting groove, and backwater is utilized for irrigation, so that water resources are saved, and crop yield is increased. The design of the planting grooves facilitates adjustment of illumination and ventilation conditions, and optimizes the growth environment of crops.

This invention discloses an irrigation scheduling system for irrigation canal systems, comprising: multiple remotely controlled gates, multiple flow meters, multiple water level gauges, and a cloud-based processing and control subsystem. Each canal has a remotely controlled gate at its inlet; the flow meters are located downstream of the remotely controlled gates; a water level gauge is installed at both the head and tail of each canal; the cloud-based processing and control subsystem sends gate adjustment commands to the remotely controlled gates based on the instantaneous flow rate detected by the flow meters. This invention detects water flow in the canals using flow meters and water level gauges and transmits the data wirelessly to the cloud-based processing and control subsystem. This allows for real-time acquisition of irrigation data for the canal system and automatic control of the gate openings, improving the automation level of irrigation canal system water management. This significantly reduces the difficulty of water resource scheduling in irrigation areas, saves labor, improves the efficiency of water resource scheduling, and further enhances irrigation area management efficiency.

This invention belongs to the field of agricultural water resource management technology and relates to a rolling water allocation method for irrigation canal systems. The method includes: 1) constructing a two-layer, two-stage water allocation model; 2) calibrating the two-layer, two-stage water allocation model obtained in step 1) and extracting the water allocation parameter lines of the two-layer, two-stage water allocation model; 3) based on the water allocation parameter lines obtained in step 2), determining the required water allocation volume for each branch canal in real time for the current period. This invention provides a rolling water allocation method for irrigation canal systems that can improve the utilization efficiency of contracted water volume and reduce the overall water shortage risk of the system.

The invention relates to the technical field of computer calculation models, and discloses a neural network-based canal system water transmission and distribution efficiency adaptive optimization model, which comprises a neural network, a physical boundary inversion calculation unit, a topological feature extraction module, a time sequence causal mask module and a decision strategy optimization center, the physical boundary inversion calculation unit extracts physical disturbance response data of the controlled endpoint actuator to generate a boundary correction characteristic quantity so as to correct the connection weight of the neural network; a time sequence causal mask module constructs a causal logic effective window according to the minimum expected arrival time of signal propagation, and converts the window into a mask matrix to trim a false association path of the neural network; according to the method, a physical causal law coupling mechanism is utilized, the problem of spatial correlation overfitting of an attention mechanism in a large complex system is solved, and real-time alignment of calculation model logic and physical overcurrent boundaries is achieved.

The application is based on a complex supply-demand relationship canal system optimal water distribution method, the canal system includes a primary channel and multiple secondary channels, and is specifically implemented according to the following steps: collecting canal system water distribution data; establishing a canal system optimal water distribution model according to the canal system water distribution data; using a geatpy toolbox to realize a genetic algorithm to solve the canal system optimal water distribution model to obtain optimal water distribution time; and summarizing the data in the above steps to obtain a water distribution scheme. An irrigation mode of 'group rotation irrigation and group continuous irrigation' is adopted, a complex supply-demand relationship canal system optimal water distribution model is established, the travel time of water in the canal is added to the model, and finally the model is solved by using a genetic algorithm, so that the water distribution time meeting the complex supply-demand relationship is obtained.

The invention discloses a rice yield and quality collaborative optimization intelligent cultivation decision-making method and system, and particularly relates to the technical field of agricultural informationization, and the method comprises the steps: carrying out the regional modeling and canal system digital twinning of an irrigation area, constructing a unified time base and a data lake, and building a canal segment dynamic model and a field mapping device; fusing multi-source observation data to carry out state estimation and field surface water level prediction, outputting state posteriori and uncertainty, and generating a water level look-ahead trajectory; a water level target zone is dynamically set based on a phenological calendar and a quality risk identification result, two-layer rolling predictive control is adopted, the output and water distribution time sequence of a pump station is optimized on the upper layer, the opening, closing and drainage arrangement of a water distribution port is refined on the lower layer, and opportunity constraint or safety margin is introduced in control to process uncertainty. According to the method, the field surface water level can be accurately and steadily controlled under the engineering constraint, the AWD border crossing rate and the equipment starting and stopping frequency are effectively reduced, and the rice yield and quality collaborative optimization level is improved.

The invention discloses an irrigation area canal system water and sediment resource cooperative regulation and control method, system and device and a storage medium. The method comprises the steps that a canal system is divided into a plurality of canal sections, information of all the canal sections is collected, a canal system water quantity balance model and a sediment resource supply and demand model are established, a sediment needing area and a sediment controlling area are recognized, and the configurable sediment amount is calculated. And on the basis, with maximization of the water consumption satisfaction rate, maximization of the sediment guarantee degree of the sediment needing area and minimization of the sedimentation risk of the sediment control area as targets, a water-sediment coupling collaborative optimization model is constructed, an optimal configuration solution set of the water quantity distribution and sediment resource configuration weight of each channel section is solved, and an executable scheduling instruction is generated. The regulation and control system dynamically adjusts a scheduling scheme by monitoring the flow, the sand content and the deposition change data of the canal section on line, and scientific management and optimal configuration of water and sand resources of the canal system in the irrigation area are achieved. The method has the advantages of being easy and convenient to operate and high in feasibility, and can be widely applied to optimal configuration and cooperative regulation and control of irrigation area canal system water and sand resources.

The invention discloses a dynamic water distribution method suitable for a multi-stage pump station pumping irrigation area. The method comprises the steps that S1, basic data are collected; s2, setting nodes and dividing a shared flow interval; s3, setting basic information such as a minimum water demand unit, a pump station, a node and a shared flow interval; s4, setting irrigation preference; s5, establishing an initial pump station combination screening model; s6, establishing an irrigation process simulation model; s7, simulating the irrigation process of the effective combination scheme of the initial pump station; s8, setting an optimization target, and establishing an optimal scheme screening model; s9, operating the optimal scheme screening model, and outputting an optimal scheme irrigation simulation process chart; s10, establishing a dynamic water distribution model; and S11, setting water supply and demand change information, and operating the dynamic water distribution model. According to the dynamic water distribution method suitable for the pumping irrigation area of the multi-stage pump station, the problems that an existing canal system optimization water distribution method is not suitable for the actual condition of the irrigation area, cannot respond to the dynamic requirement and is not suitable for the pumping irrigation area are solved.

The present application relates to the technical field of water conservancy dispatching and water resources management, and particularly relates to a reservoir-gate-pump group water resources optimal dispatching method suitable for irrigation areas. The method comprises the following steps: receiving water resources optimal allocation of the irrigation area; obtaining water conservancy engineering data of the irrigation area, and constructing a water conservancy engineering topology relationship of the irrigation area according to the water conservancy engineering data of the irrigation area; respectively establishing a canal system one-dimensional hydrodynamic model, a gate flow calculation model and a pump station operation model according to the water resources optimal allocation of the irrigation area and each engineering parameter in the water conservancy engineering data of the irrigation area; coupling the canal system one-dimensional hydrodynamic model, the gate flow calculation model and the pump station operation model to construct a water resources dispatching efficiency optimization model; solving the water resources dispatching efficiency optimization model by using a preset simulation-optimization coupling solving method, so as to output a final dispatching scheme. The present application realizes the transformation of the water resources allocation of the irrigation area from static allocation to dynamic executable dispatching as a whole, and improves the water resources utilization efficiency and the dispatching accuracy.

The utility model discloses a construction support device close to an existing canal system building, which comprises a support structure and a dewatering structure, the support structure is provided with a support monitoring instrument, and the dewatering structure is respectively provided with a water level monitoring instrument and a water pumping device. And the support monitoring instrument and the water level monitoring instrument are connected with intelligent regulation and control early warning equipment. The utility model has the beneficial effects that the support structure and the precipitation structure are respectively provided with the support monitoring instrument and the water level monitoring instrument, and the support monitoring instrument and the water level monitoring instrument are connected with the intelligent regulation and control early warning equipment; then displacement, stress and deformation of the supporting structure can be detected and fed back to the intelligent regulation and early warning equipment by means of the supporting monitoring instrument, and water level changes of the rainfall structure can be detected and fed back to the intelligent regulation and early warning equipment by means of the water level monitoring instrument, so that early warning information can be conveniently sent to constructors and managers in time; the construction safety is ensured.

The invention discloses a channel system optimization water distribution model construction method coupling an attention mechanism and a multi-target particle swarm. The method comprises the steps of research area data collection, channel system optimization water distribution model establishment and model solving. According to the canal system optimization water distribution model, stable water flow transition and minimum abandoned water amount are taken as objective functions, the drought level is converted into effective priority time constraint, and the model takes a coupling attention mechanism and a multi-objective particle swarm optimization as solving algorithms to reasonably configure the irrigation water amount of an irrigation area; the method can solve the problem of precise water distribution in the arid region under complex constraints.