38 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 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 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 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.

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 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.

This invention discloses a smart agricultural energy storage irrigation and drainage water-saving drip irrigation system, belonging to the field of agricultural irrigation technology. It includes: a rainwater replenishment module, which collects rainwater from nearby farmland using a drone swarm and transports it to an aqueduct for storage; a ground water conveyance module, which connects to the aqueduct via a four-tiered canal system (main canal, branch canal, distribution canal, and farm canal); a canal-irrigated field module, which irrigates crops by arranging drip irrigation tapes connected to the farm canals along the distribution of crops; an energy storage and power generation module, which generates electricity using the gravity potential energy of water stored in the aqueduct, complementing photovoltaic power generation; and a smart management platform, which enables intelligent monitoring, scheduling, and control of the entire process of the rainwater replenishment module, ground water conveyance module, canal-irrigated field module, and energy storage and power generation module. This invention can solve the problems of traditional agriculture's over-reliance on groundwater replenishment, insufficient supporting facilities for natural rainwater collection and transportation, large land occupation of water conveyance canal systems without terrain utilization advantages, and water waste caused by extensive control of water conveyance nodes.

The present application relates to the technical field of data processing, in particular to a kind of based on digital twin's irrigation area global wisdom management and control platform, system includes: disturbance structure construction module constructs three-dimensional disturbance characteristic matrix, rhythm division module executes amplitude contrast and generates irrigation area time series disturbance partition map, evapotranspiration layer generation module constructs evapotranspiration difference heat map layer, fluctuation mapping module generates flow evaporation correlation graph, and regulation and control graph generation module constructs wisdom management and control graph.The present application, by collecting multidimensional data to construct disturbance matrix, accurately identify fluctuation rhythm characteristics to divide high and low disturbance area, utilize plot evapotranspiration record to invert high dynamic area heat distribution, with evapotranspiration intensity path and canal system water flow node space connectivity matching, establish flow evaporation correlation mechanism, according to the cross-path evapotranspiration density ranking and regulation and control element position comparison result, automatically screen key control valve, realize water resource dynamic multidimensional response and high-precision space-time configuration.

The invention discloses an agricultural canal system intelligent water distribution system and method based on multi-modal deep learning, and the system comprises a multi-modal data fusion and characterization module which is used for fusing meteorological, soil, crop and canal system data, and constructing a unified spatial-temporal feature tensor through a multi-modal large model; the meteorological-water demand coupling analysis module is used for analyzing future refined net irrigation water demand by using a deep space-time diagram neural network; the physical constraint embedded channel system response modeling module is used for constructing a physical information driving model to predict channel system hydraulic response; the multi-objective collaborative optimization decision module is used for solving an optimal water distribution instruction sequence by adopting a deep reinforcement learning framework; and the instruction execution and self-adaptive feedback correction module is used for realizing instruction issuing and closed-loop regulation and control based on online learning. According to the invention, accurate conversion from meteorological data to an executable irrigation instruction is realized, the physical feasibility and engineering applicability of a water distribution scheme are ensured, and the robustness and adaptability of the system to cope with environmental changes are significantly improved.

The present application belongs to the technical field of hydrogeology, and discloses a prediction method for spatial distribution of groundwater recovery force and uncertainty thereof, comprising: calculating groundwater recovery force by using groundwater performance index and recovery force index; and quantitatively analyzing the relationship between the groundwater recovery force and nine kinds of groundwater control factors, i.e., lithology, topography, slope, distance to river, soil, canal system density, permeability coefficient, groundwater depth and land use, based on GIS technology combined with DS model to generate a groundwater recovery force zoning map. The present application can reliably predict the spatial distribution of groundwater recovery force. The present application can not only output the support degree of the evidence layer to the prediction result through the belief function, but also can quantify the uncertainty of the prediction result to reflect systematic error and random error, so that the generated spatial prediction result is accurate and reliable.

The invention discloses a canal system optimization water distribution method, a medium, equipment and a product, and relates to the technical field of agricultural irrigation. The method comprises the following steps: taking the water distribution starting time, the water distribution duration and the water transmission and distribution flow of all levels of canal systems as decision variables; taking minimization of the total water shortage amount of crops in an irrigation area, the excessive irrigation water amount of the crops in the irrigation area and the water transportation and distribution loss water amount as objective functions, and taking a water diversion flow constraint, a channel water transportation capacity constraint, an irrigation time constraint and a water balance constraint as constraint conditions to construct a channel system optimization water distribution model; and solving the canal system optimization water distribution model by adopting DCNSGAIII. The model provided by the invention can adapt to dynamically changing incoming water flow and effectively process complex constraints.

The utility model belongs to the technical field of water conservancy monitoring, and particularly relates to an irrigation canal system monitoring device which comprises a monitoring assembly, an installation support, a moving assembly and a carrying platform. The installation support comprises a cross beam and stand columns fixed to the two ends of the cross beam. The cross beam is erected above an irrigation canal system through the stand columns at the two ends. The moving assembly is arranged on the cross beam and provided with a moving plate moving in the length direction of the cross beam. The carrying platform is installed on the moving plate, the monitoring assembly is arranged on the carrying platform, and the carrying platform is used for adjusting the position of the monitoring assembly in the width direction of the irrigation canal system along with movement of the moving plate on the cross beam. The cross beam is movably arranged in the water flow direction of the irrigation canal system, the carrying platform moves on the cross beam through the moving assembly, the device can flexibly move and accurately position the monitoring assembly above the irrigation canal system, the monitoring range is expanded, and the monitoring comprehensiveness and accuracy are improved.

FIELD: dentistry.SUBSTANCE: intended for practicing manual endodontic treatment skills in students to improve the effectiveness of treating diseases of the periapical tissues of teeth. A phantom simulation model of a tooth with external root resorption is used, which includes a 3D-printed model of a tooth with a root canal having a hemispherical expansion at the root apex. In this case, the phantom simulation model of the tooth is made of transparent or radiopaque photopolymer resin, has a length of 30 mm with a red-colored canal system of 15 mm in length. In this case, the transparent model of the affected tooth is intended for the initial level of manual skill, and the opaque radiopaque model of the affected tooth is intended for the process of training in endodontic root canal treatment, where quality control of treatment and filling of root canals is possible only by radiographic method. In this case, the root apex has a size of No. 80 according to ISO, and the hemispherical expansion at the root apex of the tooth model, simulating a chronic lesion of the periapical tissues of the tooth, has a diameter of 8 mm. In this case, using Blue Sky Bio software, a three-dimensional image of the affected tooth is extracted from the patient's cone-beam computed tomography (CBCT) scan in DICOM format, then, using artificial intelligence algorithms in Blender software, the model is corrected, virtually modeling a tooth with a root cyst and external resorption. After this, the model is imported into STL format, 1.9 ml of resin is collected for subsequent slicing and 3D printing, and the walls of the root canal system of the resulting model are painted red with Funtodo photopolymer resin.EFFECT: inventions, by simulating endodontic treatment training conditions that are as close as possible to real conditions, namely, an apical plug in the area of the wide apex of a tooth root during inflammatory external resorption or after apical resection, allow for the practice of existing variations of endodontic treatment, and also minimize the time costs for model production.3 cl, 14 dwg, 1 ex

This invention relates to a microscopic lacunar-canal mass transfer chip and experimental method. The microscopic lacunar-canal mass transfer chip includes an upper cover plate, a micropore design, and a lower cover plate. The micropore design has several lacunae arranged sequentially, and the lacunae are connected sequentially by corresponding canals. The three longitudinal canals are Haver tubes, and the transverse canals are Folkmann tubes. The micropores are etched onto the lower cover plate. The upper cover plate is made of polydimethylsiloxane (PDMS), and the lower cover plate is made of quartz glass. The micropores are deepened to the desired depth to form a pore network etched chip. The upper cover plate and the lower cover plate with the etched micropore structure are bonded together to form the microscopic chip. This invention provides a lacunar-canal microscopic mass transfer chip that allows for clear observation of the transport patterns of the lacunar-canal system, improving the understanding of intraosseous mass transfer.

The present application relates to a kind of canal system water gate collaborative scheduling method and system based on supply and demand water prediction, belong to water conservancy engineering intelligent scheduling technical field.Pass through the supply and demand water quantity prediction model of multi-time scale of multi-source data fusion construction, and output water demand prediction result, and the water supply of water source;According to the water supply of each period, water demand carries out supply and demand balance analysis;Construction irrigation area water resources scheduling model, formulate irrigation area water resources scheduling scheme;With the minimum channel water loss, multi-water gate collaborative scheduling as goal establishes irrigation area global water distribution coordination model, the sum of each branch canal and following channel water distribution is approximately equal to water distribution main canal design flow, water distribution flow is evenly used as constraint condition, carries out global optimization to collaborative scheduling strategy.The present application realizes the dynamic collaborative scheduling of multiple water gates in the region by multi-source data fusion, accurate prediction of water demand, inflow prediction and multi-objective collaborative optimization algorithm, improves water resources utilization efficiency and scheduling reliability.

The invention discloses a multi-water-source joint optimization scheduling method for a cold region rice irrigation area, and belongs to the technical field of agricultural water resource optimization configuration and irrigation engineering. Selecting typical representative years of a high-water year, a flat-water year and a low-water year; the method comprises the following steps: simulating the growth and yield of rice under different irrigation conditions by using an AquaCrop crop model, obtaining a Pareto optimal solution set under each hydrological year type by taking the maximum rice yield and the minimum irrigation water quantity as targets, and fitting and constructing a secondary moisture production function. The multi-stage canal system of the irrigation area is classified, a representative canal is selected to construct a random multi-target two-stage planning model, and underground water level constraint, water balance constraint and canal flow constraint are embedded by taking system economic benefit maximization and canal system water delivery loss minimization as double targets. And solving to obtain a plurality of groups of Pareto optimal scheduling schemes, carrying out multi-index comprehensive evaluation and sorting, and selecting an optimal scheme. According to the method, the irrigation water consumption and the channel water delivery loss are reduced while the rice yield is guaranteed or increased.

The application discloses a kind of rice yield quality synergic optimization intelligent cultivation decision method and system, specifically related to agricultural information technology field, including: zoning modeling and canal system digital twin are carried out to irrigation area, unified time base and data lake are constructed, and canal segment dynamics model and field mapper are established;Fusion multi-source observation data is carried out state estimation and field water level prediction, exports state posteriori and uncertainty, and generates water level forward trajectory;Based on phenology calendar and quality risk identification result, dynamically set water level target band, adopt two-layer rolling prediction control, optimize pump station output and water distribution time sequence in upper layer, refine water outlet opening and closing and drainage arrangement in lower layer, and introduce opportunity constraint or safety margin in control to handle uncertainty.The application can realize the accurate, robust control of field water level under engineering constraint, effectively reduce AWD out-of-bound rate and equipment start-stop frequency, and improve the level of rice yield and quality synergic optimization.

The utility model provides a water diversion aqueduct and slag retaining wall combined arrangement structure, which is characterized in that a water diversion canal system is arranged under the topographic conditions of a high and steep slope and a developed deep trench in a high seismic intensity area, an aqueduct is arranged in a building of the water diversion canal system to cross the deep trench, and a concrete slag retaining wall is arranged in the deep trench in combination with the aqueduct to reduce the height of the aqueduct. Pier columns of the aqueduct take slag blocking walls as foundations, the bottoms of the pier columns adopt an expanded section form, and vertical steel bars are arranged to penetrate into the concrete slag blocking walls. The inner side of the slag blocking wall is filled with waste slag of channel system construction, and a water intercepting and draining ditch is arranged around a slag stacking body and penetrates through the aqueduct. According to the aqueduct structure, the anti-seismic safety degree of the aqueduct structure can be improved, the engineering investment of the aqueduct is saved, the slag field can be arranged on the inner side of the slag stopping wall, and nearby slag discarding of canal system engineering is facilitated so that the transportation cost can be saved.