Fine joint dispatching method and system for large reservoir group

By installing intelligent monitoring equipment in the reservoir group, constructing water area models, acquiring reservoir information in real time, and generating flood control plans, the problem of insufficient real-time performance in the reservoir group scheduling process has been solved, enabling rapid and accurate scheduling decisions.

CN122114470APending Publication Date: 2026-05-29ANHUI SURVEY & DESIGN INST OF WATER CONSERVANCY & HYDROPOWER

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ANHUI SURVEY & DESIGN INST OF WATER CONSERVANCY & HYDROPOWER
Filing Date
2026-02-05
Publication Date
2026-05-29

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Abstract

The application relates to the technical field of flood control scheduling, and particularly discloses a large-scale reservoir group fine joint scheduling method and system, which comprises the following steps: selecting a water flow monitoring point; obtaining water flow velocity and water pressure based on the water flow monitoring point, and constructing a water area model; determining the positive and negative regulation demand of any gate based on the water area model; constructing a flood control plan based on the positive and negative regulation demand of each gate, and performing hydrological simulation on the flood control plan based on the water area model; and selecting a final flood control plan according to the hydrological simulation result; the intelligent monitoring equipment is installed to obtain reservoir information in real time, the regulation demand of the scheduling target is determined according to the reservoir information, a plurality of scheduling plans are determined according to the regulation demand, basic water area simulation is performed on each scheduling plan, and the scheduling plan is optimized, the response speed of the process is extremely fast, and the intuitiveness is extremely strong.
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Description

Technical Field

[0001] This invention relates to the field of flood control scheduling technology, specifically a method and system for refined joint scheduling of large reservoir groups. Background Technology

[0002] Reservoir group scheduling is a scheduling method that unifies and jointly controls multiple related reservoirs to meet the needs of flood control, water supply, etc. Its core tasks include coordinating objectives such as flood control, irrigation, and power generation. It is necessary to formulate a joint scheduling plan based on the geographical location, hydrological characteristics, and reservoir capacity of each reservoir to achieve dynamic and coordinated use of flood control capacity and maximize benefits.

[0003] Existing reservoir group scheduling processes largely rely on historical experience. For certain scenarios, the control mode adopted is a standardized operation. This operation is highly standardized and has a very low error rate, but it lacks timeliness, which naturally results in a certain lag in the scheduling process. Updating the operating methods requires long-term information collection and meetings, which consumes a large amount of human resources. In fact, a large part of this situation is due to insufficient real-time information collection. Therefore, how to provide a real-time reservoir information collection scheme to build a more timely joint scheduling scheme is the technical problem that this invention aims to solve. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for refined joint scheduling of large reservoir groups to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A method and system for refined joint scheduling of large reservoir groups, the method comprising: Obtain a watershed map and select water flow monitoring points based on the watershed map; Water flow velocity and pressure are obtained from water flow monitoring points, and a water area model is constructed based on the watershed map, water flow velocity, and water pressure. For any gate, the positive and negative regulation demands of the gate are determined based on the water area model; the positive regulation is set to open the gate, and the negative regulation is set to close the gate. Flood control plans are constructed based on the positive and negative regulation demands of each sluice gate, and hydrological simulations of the flood control plans are performed based on the water area model. The final flood control plan will be selected based on the hydrological simulation results.

[0006] Furthermore, the step of obtaining the watershed map and selecting water flow monitoring points based on the watershed map includes: Obtain the watershed map; Obtain the watershed map patches, mark the reservoir blocks and their affected blocks based on the patches, and determine the feature values ​​according to the type and area of ​​the affected sub-blocks; For any reservoir block, insert a grid into the reservoir block and adjust the grid nodes based on the feature values ​​that affect the sub-blocks; The adjusted grid nodes will be used as water flow monitoring points; The process for determining the importance is as follows: The process of selecting air detection points based on the aforementioned importance is as follows:

[0007] Furthermore, the steps of obtaining water flow velocity and pressure based on water flow monitoring points, and constructing a water area model based on the watershed map, water flow velocity, and water pressure include: Establish connection channels with the monitoring equipment at the water flow monitoring points to obtain the water flow velocity and water pressure at each water flow monitoring point; Read the watershed map and locate the reservoir outline based on the watershed map patches; The water depth is determined based on the water pressure at the water flow monitoring point, and the water depth is then inserted into the reservoir outline. A three-dimensional model of the reservoir outline is created based on the water depth at the water flow monitoring point to obtain a three-dimensional water body. By inserting water velocity into a three-dimensional water body, we obtain water body models at various times.

[0008] Furthermore, the step of inserting water velocity into a three-dimensional water body to obtain the water area model at each time point includes: Based on the water area model, the target water area is matched in the preset water area model library, and the constraint terrain parameters of the target water area are queried. The constrained terrain parameters are compared with the actual terrain parameters in the watershed map to mark risk locations; By inserting water velocity into the water area model, the risk level of the marked risk locations can be determined.

[0009] Furthermore, the step of determining the positive and negative regulation demand of any gate based on the water area model includes: For any gate, the water area model is divided into zones according to the gate's location and status; the gate status includes open and closed states. Obtain the positive adjustment requirements of each area upstream of the gate for the gate; Obtain the negative regulation demand of various areas downstream of the gate for the gate.

[0010] Furthermore, the steps of constructing a flood control plan based on the positive and negative regulation demands of each sluice gate, and performing hydrological simulation of the flood control plan based on a water area model, include: The overall regulation demand is determined based on the positive and negative regulation demand of each gate. The gate is selected based on the overall regulation demand, and control commands are generated; the control commands include closing commands and opening commands. Hydrological simulation of control commands is performed based on a water area model; when there are marked risk locations, the simulation accuracy at the risk locations is determined according to the risk level. The steps for selecting the final flood control plan based on hydrological simulation results include: The hydrological simulation results are input into the preset evaluation model to obtain the evaluation score; The gate selection results and their control instructions that reach the preset threshold in the evaluation score are selected as the final flood control plan.

[0011] The present invention also provides a refined joint scheduling system for a large reservoir group, the system comprising: The monitoring point selection module is used to acquire a watershed map and select water flow monitoring points based on the watershed map. The water area model building module is used to obtain water flow velocity and water pressure based on water flow monitoring points, and to build a water area model based on the watershed map, water flow velocity and water pressure. The regulation demand determination module is used to determine the positive and negative regulation demand of any gate based on the water area model; the positive regulation is set to open the gate and the negative regulation is set to close the gate. The flood control plan simulation module is used to construct flood control plans based on the positive and negative regulation demand of each gate, and to perform hydrological simulation of the flood control plans based on the water area model. The final scheme selection module is used to select the final flood control plan based on the hydrological simulation results.

[0012] Furthermore, the monitoring point selection module includes: Map acquisition unit, used to acquire watershed maps; The feature value calculation unit is used to obtain the patch map of the watershed, mark the reservoir block and its affected block based on the patch map, and determine the feature value according to the type and area of ​​the affected sub-block; The importance determination unit is used to insert a grid into any reservoir block and adjust the grid nodes based on the feature values ​​of the affected sub-blocks. Select an execution unit to use the adjusted grid nodes as water flow monitoring points; The process for determining the importance is as follows: The process of selecting air detection points based on the aforementioned importance is as follows:

[0013] Furthermore, the water area model construction module includes: The parameter acquisition unit is used to establish a connection channel with the monitoring equipment at the water flow monitoring points to acquire the water flow velocity and water pressure at each water flow monitoring point. The contour positioning unit is used to read the watershed map and locate the reservoir contour based on the patch map of the watershed map; The water depth calibration unit is used to determine the water depth based on the water pressure at the water flow monitoring point and insert the water depth into the reservoir outline. The 3D modeling unit is used to perform 3D modeling of the reservoir outline based on the water depth at the water flow monitoring point to obtain a 3D water body. The water velocity calibration unit is used to insert the water velocity into the three-dimensional water body to obtain the water body model at each time.

[0014] Furthermore, the adjustment demand determination module includes: A partitioning unit is used to partition the water area model according to the location and status of any gate; the gate status includes open and closed states. The forward demand determination unit is used to obtain the forward adjustment demand of each area upstream of the gate for the gate. The negative demand determination unit is used to obtain the negative regulation demand of various areas downstream of the gate for the gate.

[0015] Compared with the prior art, the beneficial effects of the present invention are: This invention acquires reservoir information in real time by installing intelligent monitoring equipment, determines the regulation requirements of the scheduling target based on the reservoir information, determines multiple scheduling plans based on the regulation requirements, performs basic water area simulation for each scheduling plan, and then optimizes the scheduling plan. This process has an extremely fast response speed and is highly intuitive, providing extremely accurate and real-time information reference for the regulation process, and greatly expanding the scheduling space for dispatchers. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention.

[0017] Figure 1 The overall flowchart of the refined joint scheduling method for large reservoir groups is shown.

[0018] Figure 2 A structural diagram of a large reservoir group's refined joint scheduling system is shown. Detailed Implementation

[0019] To make the technical problems to be solved, the technical solutions, and the beneficial effects of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present invention and are not intended to limit the present invention.

[0020] Figure 1 This is a flowchart illustrating the overall process of a refined joint scheduling method for large reservoir groups. In this embodiment of the invention, a refined joint scheduling method for large reservoir groups includes: Step S100: Obtain the watershed map and select water flow monitoring points based on the watershed map; A watershed map is a map of a water body's watershed. In the technical solution of this invention, it is assumed to be known data and can be obtained directly. After obtaining the watershed map, it is analyzed, and points for monitoring water flow parameters are selected in the watershed map, which are called water flow monitoring points.

[0021] Step S200: Obtain water flow velocity and water pressure based on water flow monitoring points, and construct a water area model based on the watershed map, water flow velocity, and water pressure; By installing detection equipment at water flow monitoring points, water flow velocity and water pressure can be obtained. It should be noted that the correlation between water pressure and water flow velocity is actually very low, and it is almost only related to water depth. The water depth at each location is determined by water pressure. Based on the watershed map, the water depth at all locations is statistically analyzed to obtain a static model of the water area. The water flow velocity is then inserted into the static model to fit a dynamic model, which is called the water area model.

[0022] Step S300: For any gate, determine the positive and negative regulation demand based on the water area model; the positive regulation is set to open the gate, and the negative regulation is set to close the gate. After the water area model is created, the distribution of the water area is obtained. Based on the distribution of the water area, each gate is analyzed separately to determine the positive and negative regulation demand of each gate. In the technical solution of this invention, positive regulation is set as opening the gate and negative regulation is set as closing the gate. Accordingly, the positive regulation demand indicates the degree of demand for opening the gate, and the negative regulation demand indicates the degree of demand for closing the gate. This demand can correspond to the gate opening size, or a binary architecture can be adopted. If the overall demand is positive, the gate is opened directly; conversely, if the overall demand is negative, the gate is closed directly.

[0023] Step S400: Construct a flood control plan based on the positive and negative regulation demand of each sluice gate, and perform hydrological simulation of the flood control plan based on the water area model; Each sluice gate has multiple positive and negative regulation demands. By statistically analyzing all the positive and negative regulation demands of each sluice gate, the gate can be regulated. Each regulation method corresponds to a flood control plan. Given a known water area model, the flood control plan is inserted into the water area model to perform hydrological simulation. The hydrological simulation process can be carried out using existing finite element analysis software.

[0024] Step S500: Select the final flood control plan based on the hydrological simulation results; Read the hydrological simulation results of each generated flood control plan, select the optimal flood control plan as the final flood control plan.

[0025] Regarding step S100, the step of obtaining the watershed map and selecting water flow monitoring points based on the watershed map includes: Obtain the watershed map; Obtain the watershed map patches, mark the reservoir blocks and their affected blocks based on the patches, and determine the feature values ​​according to the type and area of ​​the affected sub-blocks; For any reservoir block, insert a grid into the reservoir block and adjust the grid nodes based on the feature values ​​that affect the sub-blocks; The adjusted grid nodes will be used as water flow monitoring points.

[0026] In one example of the technical solution of this invention, the process of determining the location of water flow monitoring points is specifically described. The watershed map is used as the default known data and can be directly read to obtain the watershed map patches. The patch map refers to the function of each block in the watershed, such as farmland, residential land, and commercial land. By analyzing the patch map, the reservoir area can be located, called the reservoir block. Simultaneously, the impact blocks of the reservoir block are determined, and the type and area of ​​the impact sub-blocks are queried. The characteristic values ​​are determined based on the type and area of ​​the impact sub-blocks. In the actual scenario, the impact sub-blocks around the reservoir are only of two types: farmland and residential land. The average yield of the previous year can be used to describe the characteristics of farmland, and the population density can be used to describe the characteristics of residential land. The data is standardized to make it dimensionless data, and then combined with the area of ​​the sub-block, the characteristic values ​​of the sub-block can be determined.

[0027] Furthermore, for any reservoir block, a grid is inserted into the reservoir block. The cell size of the grid is a preset value, used to represent the distance at which a monitoring point is set in the reservoir. Initially, all grid cells are rectangular, and the grid nodes correspond to the monitoring points. This method does not actually consider the actual impact. In the above content, a monitoring point optimization process based on the impact block is also introduced. For any point, it is adjusted based on the calculated characteristic values ​​of the impact block. The specific adjustment method can be as follows: For any grid node, sequentially query the feature values ​​of the affected blocks and simultaneously query the block center to obtain the distance from the grid node to the block center. Calculate the comprehensive feature value based on the direct proportion of the feature value and the inverse proportion of the distance. Then, combine this with the correction coefficient determined by the type of the affected block to correct the comprehensive feature value, resulting in a vector pointing from the grid node to the block center. The magnitude of this vector is the corrected comprehensive feature value. This vector represents the degree of attraction of the affected block to the grid node. The more important the affected block, the stronger its attraction to the grid node; the farther away, the weaker the attraction. Based on this, calculate the resultant vector of all vectors to obtain the comprehensive attraction of all affected blocks to the grid node. Adjust the grid node based on the resultant vector. The adjustment method can be to calculate the ratio of the magnitude of the resultant vector to the preset unit distance magnitude, multiply the ratio by the unit distance to obtain the attraction distance of the resultant vector to the grid node, and then adjust the grid node along the resultant vector.

[0028] Regarding step S200, the step of obtaining water flow velocity and water pressure based on water flow monitoring points, and constructing a water area model based on the watershed map, water flow velocity, and water pressure includes: Establish connection channels with the monitoring equipment at the water flow monitoring points to obtain the water flow velocity and water pressure at each water flow monitoring point; Read the watershed map and locate the reservoir outline based on the watershed map patches; The water depth is determined based on the water pressure at the water flow monitoring point, and the water depth is then inserted into the reservoir outline. A three-dimensional model of the reservoir outline is created based on the water depth at the water flow monitoring point to obtain a three-dimensional water body. By inserting water velocity into a three-dimensional water body, we obtain water body models at various times.

[0029] In one example of the technical solution of this invention, the construction process of the water area model is described. A connection channel is established with the monitoring equipment at each water flow monitoring point to obtain the water flow velocity and water pressure at each monitoring point. Regarding water pressure, the monitoring equipment installed at each water flow monitoring point is at a fixed height (a certain height from the bottom of the water body). Therefore, the water pressure reflects its distance from the water surface. Thus, the height from the water surface to the bottom can be determined from the water pressure (fixed height plus distance). Further, a watershed map is read, and the reservoir outline is located based on the map features. The water depth at each monitoring point is then inserted into the reservoir outline. The water depth refers to the distance from the water surface to the bottom. Combining the water depth with the water surface depth, the water surface position can be obtained. At that time, the top view of the reservoir is known, and the height of some points is known. Using existing 3D modeling software, 3D modeling can be performed to obtain a 3D water body. The obtained 3D water body is a static model. Since the water velocity and water pressure at each water flow monitoring point are parameters at a certain moment, the obtained static model is also a model at that moment. Furthermore, water velocity is inserted into the 3D water body to obtain the water body model at each moment. Here, water velocity is just the water velocity at each location in the water body model, which is an independent attribute. In existing 3D modeling software, the 3D water body can be displayed dynamically. However, since the reservoir itself is turbulent, this display process is not very accurate. Water velocity is more of a reservoir information, stored in the water body model in 3D form.

[0030] Specifically, the step of inserting water velocity into a three-dimensional water body to obtain the water body model at each time point includes: Based on the water area model, the target water area is matched in the preset water area model library, and the constraint terrain parameters of the target water area are queried. The constrained terrain parameters are compared with the actual terrain parameters in the watershed map to mark risk locations; By inserting water velocity into the water area model, the risk level of the marked risk locations can be determined.

[0031] In one example of the technical solution of this invention, based on the insertion of water velocity, a risk analysis of the entire reservoir can also be performed based on the water velocity. The water area model itself is a three-dimensional model containing water velocity. It is discretized (from a computer perspective, it is inherently discretized) to obtain a three-dimensional matrix, where each position represents a spatial location. Water velocities exist at certain spatial locations, and the water velocities at adjacent locations are almost identical. The water area model is upsampled based on points with known water velocities to enrich the data as much as possible. If water area models from different times are available, this upsampling process can be more accurate. At this point, the water area model itself is a three-dimensional matrix, which is used as an element in a pre-set water area model library for traversal and matching. The most similar water area model is called the target water area. The pre-set water area model library is relevant to the technical solution of this invention. The database is a known database of water body models with different constrained topographic parameters, pre-compiled by staff. Both the constrained topographic parameters and the water body models are stored in the water body model library. After the current water body model matches the target data item, the corresponding constrained topographic parameters are queried in reverse. At this time, the constrained topographic parameters are compared with the actual topographic parameters in the watershed map to indicate what the theoretical topographic features are to achieve the current water body state. When there is a large amount of data in the water body model library, the constrained topographic parameters and the actual topographic parameters in the watershed map should be similar. On the one hand, the constrained topographic parameters themselves contain risk locations; on the other hand, the differences between the constrained topographic parameters and the actual topographic parameters in the watershed map can also be regarded as risk locations. For the identified risk locations, the risk level of the risk location is determined by combining the obtained flow velocity.

[0032] One feasible approach to determining the risk level is as follows: For a risk location, query the monitoring points of each known flow velocity within a preset range, calculate the position vectors of the monitoring points and the risk location, calculate the projection of the flow velocity onto the position vector (the projection itself is a scalar, and the direction of the position vector is used as its direction to convert it into a vector), for a risk location, query all the converted vectors at that location, calculate the vector difference between each pair of vectors, and the magnitude of the cumulative vector difference represents the degree of conflict between each flow velocity at that risk location (the vector difference itself reflects the difference). The larger the cumulative value, the higher the risk level.

[0033] Regarding step S300, the step of determining the positive and negative regulation demand of any gate based on the water area model includes: For any gate, the water area model is divided into zones according to the gate's location and status; the gate status includes open and closed states. Obtain the positive adjustment requirements of each area upstream of the gate for the gate; Obtain the negative regulation demand of various areas downstream of the gate for the gate.

[0034] In a large reservoir group, sluice gates are set between different reservoirs. For any sluice gate, the water area model is divided into zones based on the gate's location and status. The sluice gate status includes open and closed states. If the sluice gate is always open, two reservoirs are considered as one region and merged. Then, the positive regulation demand of each region upstream of the sluice gate is obtained. The positive regulation demand is directly proportional to the volume of the water area model, indicating that the more water volume upstream, the greater the probability of opening the sluice gate. The negative regulation demand of each region downstream of the sluice gate is also obtained. The negative regulation demand is directly proportional to the volume of the water area model, indicating that the more water volume downstream, the less likely the sluice gate will be opened. At the same time, a risk-based regulation process can be introduced. The risk levels of all risk locations are accumulated to obtain a comprehensive risk level. The positive regulation demand is inversely proportional to the comprehensive risk level, indicating that the more dangerous the upstream location, the less likely the sluice gate will be opened. The negative regulation demand is directly proportional to the risk level, indicating that the more dangerous the downstream location, the less likely the sluice gate will be opened.

[0035] As a preferred embodiment of the technical solution of the present invention, the steps of constructing a flood control plan based on the positive and negative regulation demand of each sluice gate, and performing hydrological simulation of the flood control plan based on a water area model, include: The overall regulation demand is determined based on the positive and negative regulation demand of each gate. The gate is selected based on the overall regulation demand, and control commands are generated; the control commands include closing commands and opening commands. Hydrological simulation of control commands is performed based on a water area model; when there are marked risk locations, the simulation accuracy at the risk locations is determined according to the risk level. In the architecture of this invention, both the positive and negative regulation demands are positive numbers. The comprehensive regulation demand is obtained by subtracting the negative regulation demand from the positive regulation demand. When any comprehensive regulation demand reaches a preset condition, a closing or opening command is generated. Each time a control command is generated, the state of the entire water area changes. At this time, hydrological simulation is performed on the control command based on the water area model. The simulation process is a connected simulation process, which is a basic function of fluid simulation software. If there are marked risk locations, the risk level of the risk location is queried, and the simulation accuracy at the risk location is determined based on the risk level. The simulation accuracy is directly proportional to the risk level; the higher the simulation accuracy, the longer the simulation time.

[0036] It should be noted that the above scheme is a theoretical simulation process. Flood control plans are not unique, and different sluice gates have different requirements. The simplest approach is to perform hydrological simulations sequentially, then combine them in pairs, perform hydrological simulations sequentially, then combine them in groups of three, and perform hydrological simulations sequentially, and so on. Alternatively, a selection port can be opened to receive selection information uploaded by the administrator for simulation. In this case, the comprehensive regulation demand provided by the technical solution of this invention is used as a parameter.

[0037] The steps for selecting the final flood control plan based on hydrological simulation results include: The hydrological simulation results are input into the preset evaluation model to obtain the evaluation score; The gate selection results and their control instructions that reach the preset threshold in the evaluation score are selected as the final flood control plan.

[0038] For multiple flood control plans, after each simulation is completed, an evaluation is conducted. The evaluation process uses the existing evaluation model, and the specific evaluation criteria are also preset. In actual scenarios, the criteria are dynamic and are not limited here. The gate selection results and their control instructions that reach the preset threshold evaluation score are selected as the final flood control plan.

[0039] Figure 2 A structural diagram of a refined joint scheduling system for a large reservoir group is shown. In a preferred embodiment of the technical solution of the present invention, a refined joint scheduling system for a large reservoir group is also provided, the system 10 comprising: The monitoring point selection module 11 is used to acquire a watershed map and select water flow monitoring points based on the watershed map. The water area model construction module 12 is used to obtain water flow velocity and water pressure based on water flow monitoring points, and to construct a water area model based on the watershed map, water flow velocity and water pressure. The regulation demand determination module 13 is used to determine the positive and negative regulation demand of any gate based on the water area model; the positive regulation is set to open the gate and the negative regulation is set to close the gate. The contingency plan simulation module 14 is used to construct flood control plans based on the positive and negative regulation demand of each gate, and to perform hydrological simulation of the flood control plans based on the water area model. The final scheme selection module 15 is used to select the final flood control plan based on the hydrological simulation results.

[0040] Furthermore, the monitoring point selection module 11 includes: Map acquisition unit, used to acquire watershed maps; The feature value calculation unit is used to obtain the patch map of the watershed, mark the reservoir block and its affected block based on the patch map, and determine the feature value according to the type and area of ​​the affected sub-block; The importance determination unit is used to insert a grid into any reservoir block and adjust the grid nodes based on the feature values ​​of the affected sub-blocks. Select an execution unit to use the adjusted grid nodes as water flow monitoring points; The process for determining the importance is as follows: The process of selecting air detection points based on the aforementioned importance is as follows:

[0041] Specifically, the water area model construction module 12 includes: The parameter acquisition unit is used to establish a connection channel with the monitoring equipment at the water flow monitoring points to acquire the water flow velocity and water pressure at each water flow monitoring point. The contour positioning unit is used to read the watershed map and locate the reservoir contour based on the patch map of the watershed map; The water depth calibration unit is used to determine the water depth based on the water pressure at the water flow monitoring point and insert the water depth into the reservoir outline. The 3D modeling unit is used to perform 3D modeling of the reservoir outline based on the water depth at the water flow monitoring point to obtain a 3D water body. The water velocity calibration unit is used to insert the water velocity into the three-dimensional water body to obtain the water body model at each time.

[0042] Furthermore, the adjustment demand determination module 13 includes: A partitioning unit is used to partition the water area model according to the location and status of any gate; the gate status includes open and closed states. The forward demand determination unit is used to obtain the forward adjustment demand of each area upstream of the gate for the gate. The negative demand determination unit is used to obtain the negative regulation demand of various areas downstream of the gate for the gate.

[0043] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for refined joint scheduling of large reservoir groups, characterized in that, The method includes: Obtain a watershed map and select water flow monitoring points based on the watershed map; Water flow velocity and pressure are obtained from water flow monitoring points, and a water area model is constructed based on the watershed map, water flow velocity, and water pressure. For any gate, the positive and negative regulation demands of the gate are determined based on the water area model; the positive regulation is set to open the gate, and the negative regulation is set to close the gate. Flood control plans are constructed based on the positive and negative regulation demands of each sluice gate, and hydrological simulations of the flood control plans are performed based on the water area model. The final flood control plan will be selected based on the hydrological simulation results.

2. The method for refined joint scheduling of large reservoir groups according to claim 1, characterized in that, The steps of obtaining the watershed map and selecting water flow monitoring points based on the watershed map include: Obtain the watershed map; Obtain the watershed map patches, mark the reservoir blocks and their affected blocks based on the patches, and determine the feature values ​​according to the type and area of ​​the affected sub-blocks; For any reservoir block, insert a grid into the reservoir block and adjust the grid nodes based on the feature values ​​that affect the sub-blocks; The adjusted grid nodes will be used as water flow monitoring points; The process for determining the importance is as follows: The process of selecting air detection points based on the aforementioned importance is as follows:

3. The method for refined joint scheduling of large reservoir groups according to claim 1, characterized in that, The steps of obtaining water flow velocity and pressure based on water flow monitoring points, and constructing a water area model based on the watershed map, water flow velocity, and water pressure include: Establish connection channels with the monitoring equipment at the water flow monitoring points to obtain the water flow velocity and water pressure at each water flow monitoring point; Read the watershed map and locate the reservoir outline based on the watershed map patches; The water depth is determined based on the water pressure at the water flow monitoring point, and the water depth is then inserted into the reservoir outline. A three-dimensional model of the reservoir outline is created based on the water depth at the water flow monitoring point to obtain a three-dimensional water body. By inserting water velocity into a three-dimensional water body, we obtain water body models at various times.

4. The method for refined joint scheduling of large reservoir groups according to claim 3, characterized in that, The steps of inserting water velocity into a three-dimensional water body to obtain the water body model at each time point include: Based on the water area model, the target water area is matched in the preset water area model library, and the constraint terrain parameters of the target water area are queried. The constrained terrain parameters are compared with the actual terrain parameters in the watershed map to mark risk locations; By inserting water velocity into the water area model, the risk level of the marked risk locations can be determined.

5. The method for refined joint scheduling of large reservoir groups according to claim 1, characterized in that, The step of determining the positive and negative regulation demand of any gate based on the water area model includes: For any gate, the water area model is divided into zones according to the gate's location and status; the gate status includes open and closed states. Obtain the positive adjustment requirements of each area upstream of the gate for the gate; Obtain the negative regulation demand of various areas downstream of the gate for the gate.

6. The method for refined joint scheduling of large reservoir groups according to claim 1, characterized in that, The steps of constructing a flood control plan based on the positive and negative regulation demands of each sluice gate, and performing hydrological simulation of the flood control plan based on a water area model, include: The overall regulation demand is determined based on the positive and negative regulation demand of each gate. The gate is selected based on the overall regulation demand, and control commands are generated; the control commands include closing commands and opening commands. Hydrological simulation of control commands is performed based on a water area model; when there are marked risk locations, the simulation accuracy at the risk locations is determined according to the risk level. The steps for selecting the final flood control plan based on hydrological simulation results include: The hydrological simulation results are input into the preset evaluation model to obtain the evaluation score; The gate selection results and their control instructions that reach the preset threshold in the evaluation score are selected as the final flood control plan.

7. A refined joint scheduling system for a large reservoir group, characterized in that, The system includes: The monitoring point selection module is used to acquire a watershed map and select water flow monitoring points based on the watershed map. The water area model building module is used to obtain water flow velocity and water pressure based on water flow monitoring points, and to build a water area model based on the watershed map, water flow velocity and water pressure. The regulation demand determination module is used to determine the positive and negative regulation demand of any gate based on the water area model; the positive regulation is set to open the gate and the negative regulation is set to close the gate. The flood control plan simulation module is used to construct flood control plans based on the positive and negative regulation demand of each gate, and to perform hydrological simulation of the flood control plans based on the water area model. The final scheme selection module is used to select the final flood control plan based on the hydrological simulation results.

8. The refined joint scheduling system for large reservoir groups according to claim 7, characterized in that, The monitoring point selection module includes: Map acquisition unit, used to acquire watershed maps; The feature value calculation unit is used to obtain the patch map of the watershed, mark the reservoir block and its affected block based on the patch map, and determine the feature value according to the type and area of ​​the affected sub-block; The importance determination unit is used to insert a grid into any reservoir block and adjust the grid nodes based on the feature values ​​of the affected sub-blocks. Select an execution unit to use the adjusted grid nodes as water flow monitoring points; The process for determining the importance is as follows: The process of selecting air detection points based on the aforementioned importance is as follows:

9. The refined joint scheduling system for large reservoir groups according to claim 7, characterized in that, The water area model construction module includes: The parameter acquisition unit is used to establish a connection channel with the monitoring equipment at the water flow monitoring points to acquire the water flow velocity and water pressure at each water flow monitoring point. The contour positioning unit is used to read the watershed map and locate the reservoir contour based on the patch map of the watershed map; The water depth calibration unit is used to determine the water depth based on the water pressure at the water flow monitoring point and insert the water depth into the reservoir outline. The 3D modeling unit is used to perform 3D modeling of the reservoir outline based on the water depth at the water flow monitoring point to obtain a 3D water body. The water velocity calibration unit is used to insert the water velocity into the three-dimensional water body to obtain the water body model at each time.

10. The refined joint scheduling system for large reservoir groups according to claim 7, characterized in that, The adjustment demand determination module includes: A partitioning unit is used to partition the water area model according to the location and status of any gate; the gate status includes open and closed states. The forward demand determination unit is used to obtain the forward adjustment demand of each area upstream of the gate for the gate. The negative demand determination unit is used to obtain the negative regulation demand of various areas downstream of the gate for the gate.