15 results about "Canal system" patented technology

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.

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.

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.

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 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.

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 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.

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

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.

This invention relates to the field of computer computational modeling technology and discloses an adaptive optimization system for canal system water conveyance and distribution efficiency based on neural networks. The system includes a neural network, a physical boundary inversion calculation unit, a topological feature extraction module, a temporal causal masking module, and a decision strategy optimization center. The physical boundary inversion calculation unit extracts physical disturbance response data from controlled endpoint actuators to generate boundary correction features, thereby correcting the connection weights of the neural network. The temporal causal masking module constructs a causal logic effective window based on the minimum expected arrival time of signal propagation and converts it into a mask matrix to prune spurious correlation paths in the neural network. The decision strategy optimization center generates fluctuation gradients based on energy field distribution rules constraining the strategy. This invention utilizes a physical causal coupling mechanism to solve the spatial correlation overfitting problem of attention mechanisms in large and complex systems, achieving real-time alignment between the computational model logic and the physical flow boundary.

The application belongs to the technical field of water conservancy project operation scheduling, and discloses a cascade pump station-canal system intelligent collaborative scheduling method and system based on multi-model coupling, which is suitable for the Shandong main line project of the east line of the South-to-North Water Diversion. The method collects and pre-processes whole-process data, constructs a water balance analysis model and a one-dimensional water dynamic model, realizes deep coupling, solves an optimal scheduling scheme by using a multi-objective optimization algorithm based on project-specific constraint conditions, and forms a closed-loop control in combination with real-time feedback. The application innovatively realizes the integration and collaboration of monthly-scale water quantity prediction and hourly-scale hydraulic control, greatly improves the scheduling scientificity, safety guarantee capability and operation energy efficiency, and solves the technical problems of experience dependence, response lag and insufficient collaboration in traditional scheduling.