Water resource scheduling method and system based on digital twinning

Abstract

The invention discloses a water resource scheduling method and system based on digital twinning. The method comprises the steps of performing regional division on a geographic space according to human production activities to obtain a regional division result; obtaining the historical water resource consumption of each region based on a region division result, detecting the water resource remaining amount S of each region, and obtaining the water resource theoretical demand degree C theory based on the historical water resource consumption and the demand degree of the historical water resource consumption analysis theory on the water resource; detecting the meteorological environment information of each region, analyzing the influence of meteorological conditions and environmental conditions on the water resource demand degree based on the meteorological environment information to obtain an environmental influence coefficient A *, and obtaining the water resource actual demand degree C < actual > of each region based on the water resource theoretical demand degree C < theory > and the environmental influence coefficient A *; and based on the actual water resource demand degree C of each region, classifying each region in the region division result to obtain a region demand classification result. The method has the effect of improving the water resource scheduling efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of water resource scheduling, and in particular to a water resource scheduling method and system based on digital twins. Background Art

[0002] At present, digital twins make full use of data such as physical models, sensor updates, and operation history, integrate multi-disciplinary, multi-physical, multi-scale, and multi-probability simulation processes, and complete mapping in virtual space, thereby reflecting the entire life cycle of the corresponding physical equipment. Water resource scheduling refers to a control and application technology that formulates water supply strategies for water conservancy projects to various users based on the operation plan of water conservancy projects and with the goal of meeting water demand as much as possible, while ensuring the safety of water conservancy projects within the system.

[0003] The existing water resource scheduling method based on digital twins is to formulate an annual scheduling plan based on the predicted water inflow and water storage, combined with regional water demand, to clarify the annual water allocation indicators. However, the existing water resource scheduling method does not fully consider the impact of the meteorological environment on the regional water resource demand level and the impact of regional terrain conditions on water resource transportation, resulting in low water resource scheduling efficiency. There is room for improvement. Summary of the invention

[0004] In order to improve the efficiency of water resource scheduling, the present application provides a water resource scheduling method and system based on digital twins.

[0005] In the first aspect, the present application provides a water resources scheduling method based on digital twins, which adopts the following technical solutions:

[0006] A water resources scheduling method based on digital twins includes the following steps:

[0007] The geographical space is divided into regions according to human production activities to obtain the regional division results;

[0008] Based on the regional division results, the historical water resource consumption of each region is obtained, the remaining water resource S of each region is detected, and the theoretical demand for water resources in each region is analyzed based on the historical water resource consumption and historical water resource consumption of each region to obtain the theoretical demand for water resources C of each region. 理论 ;

[0009] Detect the meteorological environment information of each region, analyze the impact of meteorological conditions and environmental conditions on the water resource demand of each region based on the meteorological environment information, and obtain the environmental impact coefficient A*. 理论 And the environmental impact coefficient A* to obtain the actual water resource demand C of each region 实际 ;

[0010] Based on the actual water resource demand of each region C 实际 Classify each region in the regional division result to obtain the regional demand classification result;

[0011] Detect the terrain conditions of each region to obtain regional terrain condition information, and match the water resource scheduling between regions based on the regional demand classification results and the regional terrain condition information to obtain the regional scheduling matching results;

[0012] Based on the regional demand classification results, each region is photographed and a digital twin model of water resource scheduling is created to calculate the actual water resource demand of each region. 实际 The regional demand classification results are displayed on the water resource scheduling digital twin model. Based on the water resource scheduling digital twin model and the regional demand classification results, water resource scheduling between regions is performed to obtain the twin scheduling matching results. The twin scheduling matching results are compared with the regional scheduling matching results to determine whether they are consistent. If they are inconsistent, the actual water resource demand C of each region is repeatedly compared. 实际 And the regional demand classification results are input into the water resources scheduling digital twin model until they are consistent.

[0013] Preferably, the geographical space is divided into regions according to whether human production activities exist to obtain a first region division result, wherein the first region division result includes a natural region and a human region;

[0014] Further dividing the humanities area in the first area division result according to the human production and living type to obtain a second area division result, wherein the human production and living type includes industrial type, agricultural type and living type, and the second area division result includes industrial area, agricultural area and living area;

[0015] The first area division result and the second area division result are combined to form an area division result.

[0016] Preferably, the historical water resource consumption of each region is obtained based on the regional division result;

[0017] Calculate the historical water resource consumption rate of each region at each time based on the historical water resource consumption, and draw a historical water resource consumption rate curve of each region based on the historical water resource consumption rate of each region at each time;

[0018] Acquire seasonal type information, the seasonal type information includes spring, summer, autumn and winter, and based on the historical water resource consumption rate curve of each region, select the maximum historical water resource consumption rate of different seasonal type information in each region to obtain a maximum historical water resource consumption rate data group, the maximum historical water resource consumption rate data group includes the maximum historical water resource consumption rate in spring, the maximum historical water resource consumption rate in summer, the maximum historical water resource consumption rate in autumn and the maximum historical water resource consumption rate in winter;

[0019] Based on the regional division results, the remaining water resources S of each region are detected in real time, wherein the remaining water resources include the water resource storage amount and the flowing water resource remaining amount;

[0020] Analyze the season type of the time to be tested to obtain real-time season type information, and select the theoretical historical water resource consumption rate v based on the real-time season type information;

[0021] According to the remaining water resources S in each region and the theoretical historical water resource consumption rate v, based on the theoretical demand function C 理论 =θ×S×v×100% to calculate the theoretical water resource demand C of each region 理论 , where θ is the scaling factor and is greater than 0.

[0022] Preferably, the meteorological environment information of each area is detected, and the meteorological environment information includes a rainfall value and a temperature value;

[0023] Based on the numerical analysis of rainfall, the impact of rainfall in each region on the demand for water resources in each region is obtained to obtain the rainfall impact coefficient AQ;

[0024] Based on the temperature value, the influence of the temperature of each region on the water resource demand of each region is analyzed to obtain the temperature influence coefficient AW;

[0025] According to the rainfall influence coefficient AQ and the temperature influence coefficient AW, the environmental influence coefficient A* of each region is calculated based on the meteorological environment function A*=a1×AQ+a2×AW, where a1 and a2 are both proportional factors, a1 is less than 0, and a2 is greater than 0;

[0026] Comprehensive theoretical demand for water resources in each region C 理论 and the environmental impact coefficient A*, based on the actual demand function C 实际 =C 理论 +ω×A* to calculate the actual water resource demand C of each region 实际 , where ω is the scaling factor and is greater than 0.

[0027] Preferably, the actual water resource demand C of each region is 实际The actual water resource demand C 实际 Areas with water demand greater than the threshold are marked as water-deficient areas;

[0028] If the actual demand for water resources is C 实际 If it is less than or equal to the water resource demand threshold, the actual water resource demand C is calculated. 实际 The difference between the water resource demand threshold and the water resource demand difference is obtained;

[0029] Compare the water resource demand difference with the preset demand difference threshold, mark the area where the water resource demand difference is less than or equal to the demand difference threshold as a water resource self-sufficient area, and mark the area where the water resource demand difference is greater than the demand difference threshold as a water resource supply area;

[0030] The water resource-deficient area, the water resource self-sufficient area and the water resource supply area are combined to form a regional demand classification result.

[0031] Preferably, based on the regional water resource division result, the distance between the location of the water resource shortage area and the location of each water resource supply area is detected to obtain multiple transmission distance values, and the influence of the transmission distance on the difficulty of the water resource transmission process is analyzed based on the transmission distance values ​​to obtain the transmission distance influence coefficient BC;

[0032] Calculate the height difference between the location of the water resource shortage area and the location of each water resource supply area to obtain regional height difference information, and determine the influence of the height between the water resource shortage area and the water resource supply area on the difficulty of the water resource transmission process based on the regional height difference information to obtain the height difference influence coefficient BG;

[0033] Detect the degree of terrain fluctuation between the water resource shortage area and the water resource supply area to obtain regional fluctuation information, and analyze the difficulty of the terrain fluctuation between the water resource shortage area and the water resource supply area for the water resource transmission process based on the regional fluctuation information to obtain the terrain fluctuation influence coefficient BD;

[0034] According to the transmission distance influence coefficient BC, the height difference influence coefficient BG and the terrain fluctuation influence coefficient BD, based on the transmission efficiency function The water resource transmission efficiency η is calculated, where b1, b2, and b3 are proportional factors and are all greater than 0;

[0035] Actual water demand based on water-scarce areas C 实际 Determine the dispatching priority of each water resource shortage area to obtain the dispatching priority information of the shortage area;

[0036] Based on the scheduling priority information of the lacking areas and the water resource transmission efficiency η, the water resource supply areas matching each water resource lacking area are determined in turn to obtain the regional scheduling matching results.

[0037] Preferably, based on a drone equipped with a camera and a positioning sensor, each area in the regional demand classification result is photographed to obtain photographed image information, and each area in the regional demand classification result is positioned to obtain positioning information;

[0038] A digital twin model of water resource scheduling is created based on the captured image information and positioning information, and the actual water resource demand of each region is calculated. 实际 and the regional demand classification results are input into the water resources scheduling digital twin model;

[0039] The water resource scheduling digital twin model matches the water resource scheduling between regions according to the regional terrain condition information to obtain the twin scheduling matching result;

[0040] Compare the twin scheduling matching results with the regional scheduling matching results to determine whether they are consistent;

[0041] If they are inconsistent, the actual water resource demand of each region is repeated. 实际 And the regional demand classification results are input into the water resources scheduling digital twin model until the twin scheduling matching results are consistent with the regional scheduling matching results.

[0042] In the second aspect, the present application provides a water resources scheduling system based on digital twins, which adopts the following technical solutions:

[0043] A water resources scheduling system based on digital twins, including:

[0044] A regional division module is configured to divide the geographical space into regions according to human production activities to obtain regional division results;

[0045] The theoretical demand analysis module is configured to obtain the historical water resource consumption of each region based on the regional division results, detect the remaining water resources S of each region, and analyze the theoretical demand for water resources of each region based on the historical water resource consumption and historical water resource consumption of each region to obtain the theoretical water resource demand C of each region. 理论 ;

[0046] The actual demand analysis module is used to detect the meteorological environment information of each region, analyze the impact of meteorological conditions and environmental conditions on the water resource demand of each region based on the meteorological environment information, and obtain the environmental impact coefficient A*. 理论 And the environmental impact coefficient A* to obtain the actual water resource demand C of each region 实际 ;

[0047] The regional demand classification module is configured based on the actual water resource demand of each region. 实际 Classify each region in the regional division result to obtain the regional demand classification result;

[0048] The regional scheduling matching analysis module is used to detect the terrain conditions of each region to obtain regional terrain condition information, and to match the water resource scheduling between regions based on the regional demand classification results and the regional terrain condition information to obtain the regional scheduling matching results;

[0049] The deep feedback module is configured to photograph each region based on the regional demand classification results and create a digital twin model of water resource scheduling, and calculate the actual water resource demand of each region. 实际 The regional demand classification results are displayed on the water resource scheduling digital twin model. Based on the water resource scheduling digital twin model and the regional demand classification results, water resource scheduling between regions is performed to obtain the twin scheduling matching results. The twin scheduling matching results are compared with the regional scheduling matching results to determine whether they are consistent. If they are inconsistent, the actual water resource demand C of each region is repeatedly compared. 实际 And the regional demand classification results are input into the water resources scheduling digital twin model until they are consistent.

[0050] In summary, the present application includes at least one of the following beneficial technical effects:

[0051] 1. Regional division is carried out through human production activities to obtain regional division results, and the historical water resource consumption of each region is obtained according to the regional division results. The theoretical water resource demand C of each region is calculated based on the historical water resource consumption and the remaining water resource S. 理论 According to the theoretical demand for water resources C 理论 and meteorological environment information to calculate the actual water resource demand C in each region 实际 , and then classify each region in the regional division result to obtain the regional demand classification result, match the water resource scheduling between regions according to the regional demand classification result and the regional terrain condition information to obtain the regional scheduling matching result, which improves the accuracy of water resource scheduling between regions, thereby improving the efficiency of water resource scheduling;

[0052] 2. By detecting the distance between the location of the water resource shortage area and the location of each water resource supply area, a plurality of transmission distance values ​​are obtained, and the transmission distance influence coefficient BC is obtained according to the transmission distance value. The height difference between the location of the water resource shortage area and the location of each water resource supply area is calculated to obtain the regional height difference information, and the height difference influence coefficient BG is obtained according to the regional height difference information. The fluctuation degree of the terrain between the location of the water resource shortage area and the location of each water resource supply area is detected to obtain the regional fluctuation information, and the terrain fluctuation influence coefficient BD is obtained according to the regional fluctuation information. The water resource transmission efficiency η for transmission scheduling between the water resource shortage area and the water resource supply area is obtained by comprehensively considering the transmission distance influence coefficient BC, the height difference influence coefficient BG and the terrain fluctuation influence coefficient BD, thereby improving the detection accuracy of the water resource transmission efficiency η, and according to the actual water resource demand C of the water resource shortage area 实际 The scheduling priority of each water-deficient area is determined to obtain the scheduling priority information of the water-deficient area. According to the scheduling priority information of the water-deficient area and the water resource transmission efficiency η, the water resource supply area matching each water-deficient area is determined in turn to obtain the regional scheduling matching result, which improves the matching accuracy of water resource scheduling between water-deficient areas and water resource supply areas, greatly reduces the invalid scheduling situation, and further improves the water resource scheduling efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 This is a flow chart of a water resources scheduling method based on digital twins, which is mainly reflected in this embodiment;

[0054] Figure 2 This is a module diagram of a water resources scheduling system based on digital twins, which is mainly embodied in this embodiment.

[0055] Figure numerals: 1. Regional division module; 2. Theoretical demand analysis module; 3. Actual demand analysis module; 4. Regional demand classification module; 5. Regional scheduling matching analysis module; 6. Deep feedback module. DETAILED DESCRIPTION

[0056] The present application is further described in detail below in conjunction with the accompanying drawings.

[0057] An embodiment of the present application discloses a water resources scheduling method based on digital twins.

[0058] A water resources scheduling method based on digital twins includes the following steps:

[0059] Reference Figure 1 , step S1, divide the geographical space into regions according to human production activities to obtain a regional division result. Step S1 specifically includes the following sub-steps:

[0060] Step S11, divide the geographical space into regions according to whether there are human production activities to obtain a first region division result, wherein the first region division result includes natural regions and human regions. Regions without human production activities are divided into natural regions, and regions with human production activities are divided into human regions.

[0061] Step S12, further dividing the humanistic area in the first area division result according to the human production and living type to obtain a second area division result, wherein the human production and living type includes industrial type, agricultural type and living type, and the second area division result includes industrial area, agricultural area and living area.

[0062] Step S13: The first area division result and the second area division result are combined to form an area division result.

[0063] Reference Figure 1 Step S2: Based on the regional division results, the historical water resource consumption of each region is obtained, the remaining water resource S of each region is detected, and the theoretical demand for water resources of each region is analyzed based on the historical water resource consumption of each region and the historical water resource consumption to obtain the theoretical demand for water resources C of each region. 理论 Step S2 specifically includes the following sub-steps:

[0064] Step S21, obtaining the historical water resource consumption of each region based on the regional division result.

[0065] Step S22, calculating the historical water resource consumption rate of each region at each time based on the historical water resource consumption, and drawing a historical water resource consumption rate curve of each region based on the historical water resource consumption rate of each region at each time.

[0066] Step S23, obtaining seasonal type information, the seasonal type information includes spring, summer, autumn and winter, based on the historical water resource consumption rate curve of each region, selecting the maximum historical water resource consumption rate of different seasonal type information in each region to obtain the maximum historical water resource consumption rate data group, the maximum historical water resource consumption rate data group includes the maximum historical water resource consumption rate in spring, the maximum historical water resource consumption rate in summer, the maximum historical water resource consumption rate in autumn and the maximum historical water resource consumption rate in winter.

[0067] Step S24, based on the regional division result, the remaining water resources S of each region are detected in real time. The remaining water resources include the water resource storage amount and the flowing water resource remaining amount, which improves the detection accuracy of the remaining water resources in each region.

[0068] Step S25, analyzing the season type of the time to be measured to obtain real-time season type information, and selecting a theoretical historical water resource consumption rate v based on the real-time season type information.

[0069] If the real-time season type information is spring, the theoretical historical water resource consumption rate v is the maximum historical water resource consumption rate in spring. If the real-time season type information is summer, the theoretical historical water resource consumption rate v is the maximum historical water resource consumption rate in summer. If the real-time season type information is autumn, the theoretical historical water resource consumption rate v is the maximum historical water resource consumption rate in autumn. If the real-time season type information is winter, the theoretical historical water resource consumption rate v is the maximum historical water resource consumption rate in winter.

[0070] Step S26: Based on the remaining water resources S in each area and the theoretical historical water resource consumption rate v, the theoretical demand function C 理论 =θ×S×v×100% to calculate the theoretical water resource demand C of each region 理论 , where θ is the scaling factor and is greater than 0.

[0071] Reference Figure 1 Step S3: Detect the meteorological environment information of each region, analyze the influence of meteorological conditions and environmental conditions on the water resource demand of each region based on the meteorological environment information, and obtain the environmental impact coefficient A*. 理论 And the environmental impact coefficient A* to obtain the actual water resource demand C of each region 实际 Step S3 specifically includes the following sub-steps:

[0072] Step S31, detecting the meteorological environment information of each area, the meteorological environment information includes the rainfall value and the temperature value.

[0073] Step S32: Based on the rainfall value, the influence of rainfall in each region on the demand for water resources in each region is analyzed to obtain a rainfall influence coefficient AQ, wherein the larger the rainfall value, the larger the rainfall influence coefficient AQ.

[0074] Step S33: Analyze the influence of the temperature of each area on the water resource demand of each area based on the temperature value to obtain the temperature influence coefficient AW. The larger the temperature value, the larger the temperature influence coefficient AW.

[0075] Step S34, according to the rainfall influence coefficient AQ and the temperature influence coefficient AW, based on the meteorological environment function A*=a1×AQ+a2×AW, the environmental influence coefficient A* of each area is calculated, wherein a1 and a2 are both proportional factors, a1 is less than 0, and a2 is greater than 0.

[0076] Step S35: Comprehensively calculate the theoretical water resource demand C of each region 理论 and the environmental impact coefficient A*, based on the actual demand function C 实际 =C 理论+ω×A* to calculate the actual water resource demand C of each region 实际 , where ω is the scaling factor and is greater than 0.

[0077] Reference Figure 1 , step S4, based on the actual water resource demand C of each region 实际 Classify each region in the regional division result to obtain the regional demand classification result. Step S4 specifically includes the following sub-steps:

[0078] Step S41: calculate the actual water resource demand C of each region. 实际 The actual water resource demand C 实际 Areas with water demand greater than the threshold are marked as water-deficient areas.

[0079] Step S42: If the actual water resource demand C 实际 If it is less than or equal to the water resource demand threshold, the actual water resource demand C is calculated. 实际 The difference between the water resource demand threshold and the water resource demand difference is obtained.

[0080] Step S43, compare the water resource demand difference with a preset demand difference threshold, mark the area where the water resource demand difference is less than or equal to the demand difference threshold as a water resource self-sufficient area, and mark the area where the water resource demand difference is greater than the demand difference threshold as a water resource supply area.

[0081] Step S44, the water resource shortage area, the water resource self-sufficient area and the water resource supply area are combined to form a regional demand classification result.

[0082] Reference Figure 1 Step S5, detecting the terrain conditions of each region to obtain regional terrain condition information, matching the water resource scheduling between regions based on the regional demand classification results and the regional terrain condition information to obtain the regional scheduling matching result. Step S5 specifically includes the following sub-steps:

[0083] Step S51, based on the regional water resource division result, detect the distance between the water resource shortage area and each water resource supply area to obtain multiple transmission distance values, and analyze the influence of the transmission distance on the difficulty of the water resource transmission process based on the transmission distance value to obtain the transmission distance influence coefficient BC.

[0084] Step S52, calculate the height difference between the water resource shortage area and the water resource supply area to obtain regional height difference information, and determine the influence of the height between the water resource shortage area and the water resource supply area on the difficulty of the water resource transmission process based on the regional height difference information to obtain the height difference influence coefficient BG.

[0085] Step S53, detecting the degree of terrain fluctuation between the water-deficient area and each water-supply area to obtain regional fluctuation information, and analyzing the degree of difficulty of the terrain fluctuation between the water-deficient area and the water-supply area for the water resource transmission process based on the regional fluctuation information to obtain the terrain fluctuation influence coefficient BD.

[0086] Step S54: Based on the transmission efficiency function, the transmission distance influence coefficient BC, the height difference influence coefficient BG and the terrain fluctuation influence coefficient BD are calculated. The water resource transmission efficiency η is calculated, where b1, b2, and b3 are proportional factors and are all greater than 0.

[0087] Step S55: based on the actual water demand C of the water-deficient area 实际 The scheduling priority of each water-deficient area is determined to obtain the scheduling priority information of the water-deficient area. Among them, the actual demand for water resources C 实际 The higher it is, the greater the lack of regional scheduling priority information.

[0088] Step S56, based on the scheduling priority information of the water resource shortage area and the water resource transmission efficiency η, the water resource supply area matching each water resource shortage area is determined in turn to obtain the regional scheduling matching result.

[0089] An example is now given to illustrate: a supply area selection pool is created, which includes water resource supply areas. The water resource supply area with the highest water resource transmission efficiency is selected to match the water resource-deficient area with the highest scheduling priority information, and it is judged whether the water resources in the water resource supply area are sufficient to supply other water resource-deficient areas after the water resource supply area supplies water to the water resource-deficient area. If insufficient, the water resources are screened and deleted from the supply area pool, and the water resource-deficient area is matched with the water resource supply area in turn according to the scheduling priority information of the water resource-deficient area to obtain the regional scheduling matching result.

[0090] Reference Figure 1 , step S6, based on the regional demand classification results, photograph each region and create a water resources scheduling digital twin model, and calculate the actual water resource demand C of each region. 实际 The regional demand classification results are displayed on the digital twin model of water resource scheduling. Based on the digital twin model of water resource scheduling and the regional demand classification results, water resource scheduling between regions is performed to obtain the twin scheduling matching results. The twin scheduling matching results are compared with the regional scheduling matching results to determine whether they are consistent. If they are inconsistent, the actual water resource demand C of each region is repeated. 实际The regional demand classification results are input into the water resources scheduling digital twin model until they are consistent. Step S6 specifically includes the following sub-steps:

[0091] Step S61, based on the drone equipped with a camera and a positioning sensor, each area in the regional demand classification result is photographed to obtain photographed image information, and each area in the regional demand classification result is positioned to obtain positioning information.

[0092] Step S62: Create a digital twin model for water resource scheduling based on the captured image information and positioning information, and calculate the actual water resource demand C of each area. 实际 And the regional demand classification results are input into the water resources scheduling digital twin model.

[0093] Step S63, the water resources scheduling digital twin model matches the water resources scheduling between regions according to the regional terrain condition information to obtain the twin scheduling matching result.

[0094] Step S64, compare the twin scheduling matching result with the regional scheduling matching result to determine whether they are consistent.

[0095] Step S65: If they are inconsistent, repeat the process of calculating the actual water resource demand C of each area. 实际 The regional demand classification results are input into the water resources scheduling digital twin model until the twin scheduling matching results are consistent with the regional scheduling matching results. Among them, the water resources scheduling digital twin model is used to calculate the actual water resource demand C in each region. 实际 The regional demand classification results are used to optimize the regional scheduling matching results, thereby improving the accuracy of the regional scheduling matching results and thus improving the scheduling efficiency of water resources.

[0096] An embodiment of the present application also discloses a water resource scheduling system based on digital twins.

[0097] Reference Figure 2 , a water resources scheduling system based on digital twins includes:

[0098] The regional division module is configured to divide the geographical space into regions according to human production activities to obtain regional division results.

[0099] The theoretical demand analysis module is configured to obtain the historical water resource consumption of each region based on the regional division results, detect the remaining water resources S of each region, and analyze the theoretical demand for water resources of each region based on the historical water resource consumption and historical water resource consumption of each region to obtain the theoretical water resource demand C of each region. 理论 .

[0100] The actual demand analysis module is used to detect the meteorological environment information of each region, analyze the impact of meteorological conditions and environmental conditions on the water resource demand of each region based on the meteorological environment information, and obtain the environmental impact coefficient A*. 理论 And the environmental impact coefficient A* to obtain the actual water resource demand C of each region 实际 .

[0101] The regional demand classification module is configured based on the actual water resource demand of each region. 实际 Classify each region in the regional division results to obtain the regional demand classification results.

[0102] The regional scheduling matching analysis module is used to detect the terrain conditions of each region to obtain regional terrain condition information, and to match the water resource scheduling between regions based on the regional demand classification results and the regional terrain condition information to obtain the regional scheduling matching results.

[0103] The deep feedback module is configured to photograph each region based on the regional demand classification results and create a digital twin model of water resource scheduling, and calculate the actual water resource demand of each region. 实际 The regional demand classification results are displayed on the digital twin model of water resource scheduling. Based on the digital twin model of water resource scheduling and the regional demand classification results, water resource scheduling between regions is performed to obtain the twin scheduling matching results. The twin scheduling matching results are compared with the regional scheduling matching results to determine whether they are consistent. If they are inconsistent, the actual water resource demand C of each region is repeated. 实际 And the regional demand classification results are input into the water resources scheduling digital twin model until they are consistent.

[0104] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A water resources scheduling method based on digital twin, characterized in that: The following steps are involved: The geographical space is divided into regions according to human production activities to obtain the regional division results; Based on the regional division results, the historical water resource consumption of each region is obtained, the remaining water resource S of each region is detected, and the theoretical demand for water resources in each region is analyzed based on the historical water resource consumption and historical water resource consumption of each region to obtain the theoretical demand for water resources C of each region. 理论 ; Detect the meteorological environment information of each region, analyze the impact of meteorological conditions and environmental conditions on the water resource demand of each region based on the meteorological environment information, and obtain the environmental impact coefficient A*. 理论 And the environmental impact coefficient A* to obtain the actual water resource demand C of each region 实际 ; Based on the actual water resource demand of each region C 实际 Classify each region in the regional division result to obtain the regional demand classification result; Detect the terrain conditions of each region to obtain regional terrain condition information, and match the water resource scheduling between regions based on the regional demand classification results and the regional terrain condition information to obtain the regional scheduling matching results; Based on the regional demand classification results, each region is photographed and a digital twin model of water resource scheduling is created to calculate the actual water resource demand of each region. 实际 The regional demand classification results are displayed on the water resource scheduling digital twin model. Based on the water resource scheduling digital twin model and the regional demand classification results, water resource scheduling between regions is performed to obtain the twin scheduling matching results. The twin scheduling matching results are compared with the regional scheduling matching results to determine whether they are consistent. If they are inconsistent, the actual water resource demand C of each region is repeatedly compared. 实际 And the regional demand classification results are input into the water resources scheduling digital twin model until they are consistent.

2. A water resources scheduling method based on digital twin according to claim 1, characterized in that: The steps of dividing the geographical space into regions according to human production activities to obtain the regional division results specifically include: Dividing the geographical space into regions according to whether there are human production activities to obtain a first region division result, wherein the first region division result includes a natural region and a human region; Further dividing the humanities area in the first area division result according to the human production and living type to obtain a second area division result, wherein the human production and living type includes industrial type, agricultural type and living type, and the second area division result includes industrial area, agricultural area and living area; The first area division result and the second area division result are combined to form an area division result.

3. A water resources scheduling method based on digital twin according to claim 2, characterized in that: Based on the regional division results, the historical water resource consumption of each region is obtained, the remaining water resource S of each region is detected, and the theoretical demand for water resources in each region is analyzed based on the historical water resource consumption and historical water resource consumption of each region to obtain the theoretical demand for water resources C of each region. 理论 The steps include: Based on the regional division results, the historical water resource consumption of each region is obtained; Calculate the historical water resource consumption rate of each region at each time based on the historical water resource consumption, and draw a historical water resource consumption rate curve of each region based on the historical water resource consumption rate of each region at each time; Acquire seasonal type information, the seasonal type information includes spring, summer, autumn and winter, and based on the historical water resource consumption rate curve of each region, select the maximum historical water resource consumption rate of different seasonal type information in each region to obtain a maximum historical water resource consumption rate data group, the maximum historical water resource consumption rate data group includes the maximum historical water resource consumption rate in spring, the maximum historical water resource consumption rate in summer, the maximum historical water resource consumption rate in autumn and the maximum historical water resource consumption rate in winter; Based on the regional division results, the remaining water resources S of each region are detected in real time, wherein the remaining water resources include the water resource storage amount and the flowing water resource remaining amount; Analyze the season type of the time to be tested to obtain real-time season type information, and select the theoretical historical water resource consumption rate v based on the real-time season type information; According to the remaining water resources S in each region and the theoretical historical water resource consumption rate v, based on the theoretical demand function C 理论 =θ×S×v×100% to calculate the theoretical water resource demand C of each region 理论 , where θ is the scaling factor and is greater than 0.

4. A water resources scheduling method based on digital twin according to claim 3, characterized in that: Detect the meteorological environment information of each region, analyze the impact of meteorological conditions and environmental conditions on the water resource demand of each region based on the meteorological environment information, and obtain the environmental impact coefficient A*. 理论 And the environmental impact coefficient A* to obtain the actual water resource demand C of each region 实际 The steps include: Detecting meteorological environment information of each area, wherein the meteorological environment information includes rainfall value and temperature value; Based on the numerical analysis of rainfall, the impact of rainfall in each region on the demand for water resources in each region is obtained to obtain the rainfall impact coefficient AQ; Based on the temperature value, the influence of the temperature of each region on the water resource demand of each region is analyzed to obtain the temperature influence coefficient AW; According to the rainfall influence coefficient AQ and the temperature influence coefficient AW, the environmental influence coefficient A* of each region is calculated based on the meteorological environment function A*=a1×AQ+a2×AW, where a1 and a2 are both proportional factors, a1 is less than 0, and a2 is greater than 0; Comprehensive theoretical water resource demand of each region C 理论 and the environmental impact coefficient A*, based on the actual demand function C 实际 =C 理论 +ω×A* to calculate the actual water resource demand C of each region 实际 , where ω is the scaling factor and is greater than 0.

5. A water resources scheduling method based on digital twin according to claim 4, characterized in that: Based on the actual water resource demand of each region C 实际 The step of classifying each region in the regional division result to obtain the regional demand classification result specifically includes: The actual water resource demand of each region C 实际 The actual water resource demand C 实际 Areas with water demand greater than the threshold are marked as water-deficient areas; If the actual demand for water resources is C 实际 If it is less than or equal to the water resource demand threshold, the actual water resource demand C is calculated. 实际 The difference between the water resource demand threshold and the water resource demand difference is obtained; Compare the water resource demand difference with the preset demand difference threshold, mark the area where the water resource demand difference is less than or equal to the demand difference threshold as a water resource self-sufficient area, and mark the area where the water resource demand difference is greater than the demand difference threshold as a water resource supply area; The water resource-deficient area, the water resource self-sufficient area and the water resource supply area are combined to form a regional demand classification result.

6. A water resources scheduling method based on digital twin according to claim 5, characterized in that: The steps of detecting the terrain conditions of each region to obtain regional terrain condition information, matching the water resource scheduling between the regions based on the regional demand classification result and the regional terrain condition information to obtain a regional matching result, wherein the regional terrain condition information includes a transmission distance value, regional height difference information, and regional fluctuation information, specifically include: Based on the regional water resources division results, the distance between the water resource shortage area and each water resource supply area is detected to obtain multiple transmission distance values. Based on the transmission distance values, the influence of the transmission distance on the difficulty of the water resource transmission process is analyzed to obtain the transmission distance influence coefficient BC; Calculate the height difference between the location of the water resource shortage area and the location of each water resource supply area to obtain regional height difference information, and determine the influence of the height between the water resource shortage area and the water resource supply area on the difficulty of the water resource transmission process based on the regional height difference information to obtain the height difference influence coefficient BG; Detect the degree of terrain fluctuation between the water resource shortage area and the water resource supply area to obtain regional fluctuation information, and analyze the difficulty of the terrain fluctuation between the water resource shortage area and the water resource supply area for the water resource transmission process based on the regional fluctuation information to obtain the terrain fluctuation influence coefficient BD; According to the transmission distance influence coefficient BC, the height difference influence coefficient BG and the terrain fluctuation influence coefficient BD, based on the transmission efficiency function The water resource transmission efficiency η is calculated, where b1, b2, and b3 are proportional factors and are all greater than 0; Actual water demand based on water-scarce areas C 实际 Determine the dispatching priority of each water resource shortage area to obtain the dispatching priority information of the shortage area; Based on the scheduling priority information of the lacking areas and the water resource transmission efficiency η, the water resource supply areas matching each water resource lacking area are determined in turn to obtain the regional scheduling matching results.

7. A water resources scheduling method based on digital twin according to claim 6, characterized in that: Based on the regional demand classification results, each region is photographed and a digital twin model of water resource scheduling is created to calculate the actual water resource demand of each region. 实际 The regional demand classification results are displayed on the water resource scheduling digital twin model. Based on the water resource scheduling digital twin model and the regional demand classification results, water resource scheduling between regions is performed to obtain the twin scheduling matching results. The twin scheduling matching results are compared with the regional scheduling matching results to determine whether they are consistent. If they are inconsistent, the actual water resource demand C of each region is repeatedly compared. 实际 The steps of inputting the regional demand classification results into the water resources scheduling digital twin model until they are consistent include: Based on the drone equipped with a camera and a positioning sensor, each area in the regional demand classification result is photographed to obtain photographed image information, and each area in the regional demand classification result is positioned to obtain positioning information; A digital twin model of water resource scheduling is created based on the captured image information and positioning information, and the actual water resource demand of each region is calculated. 实际 and the regional demand classification results are input into the water resources scheduling digital twin model; The water resource scheduling digital twin model matches the water resource scheduling between regions according to the regional terrain condition information to obtain the twin scheduling matching result; Compare the twin scheduling matching results with the regional scheduling matching results to determine whether they are consistent; If they are inconsistent, the actual water resource demand of each region is repeated. 实际 And the regional demand classification results are input into the water resources scheduling digital twin model until the twin scheduling matching results are consistent with the regional scheduling matching results.

8. A water resources scheduling system based on digital twins, characterized in that: The water resource scheduling system based on digital twin is used to implement the water resource scheduling method based on digital twin described in any one of claims 1 to 7, including: A regional division module is configured to divide the geographical space into regions according to human production activities to obtain regional division results; The theoretical demand analysis module is configured to obtain the historical water resource consumption of each region based on the regional division results, detect the remaining water resources S of each region, and analyze the theoretical demand for water resources of each region based on the historical water resource consumption and historical water resource consumption of each region to obtain the theoretical water resource demand C of each region. 理论 ; The actual demand analysis module is used to detect the meteorological environment information of each region, analyze the impact of meteorological conditions and environmental conditions on the water resource demand of each region based on the meteorological environment information, and obtain the environmental impact coefficient A*. 理论 And the environmental impact coefficient A* to obtain the actual water resource demand C of each region 实际 ; The regional demand classification module is configured based on the actual water resource demand of each region. 实际 Classify each region in the regional division result to obtain the regional demand classification result; The regional scheduling matching analysis module is used to detect the terrain conditions of each region to obtain regional terrain condition information, and to match the water resource scheduling between regions based on the regional demand classification results and the regional terrain condition information to obtain the regional scheduling matching results; The deep feedback module is configured to photograph each region based on the regional demand classification results and create a digital twin model of water resource scheduling, and calculate the actual water resource demand of each region. 实际 The regional demand classification results are displayed on the water resource scheduling digital twin model. Based on the water resource scheduling digital twin model and the regional demand classification results, water resource scheduling between regions is performed to obtain the twin scheduling matching results. The twin scheduling matching results are compared with the regional scheduling matching results to determine whether they are consistent. If they are inconsistent, the actual water resource demand C of each region is repeatedly compared. 实际 And the regional demand classification results are input into the water resources scheduling digital twin model until they are consistent.

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