CN113222296B - Flood control scheduling method based on digital twinning - Google Patents
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Abstract
The invention discloses a flood control scheduling method based on digital twinning, which comprises the following steps of S1, constructing a digital twinning body of a flood control scheduling system; s2, tracking and updating the digital twin bodies of the flood control dispatching system to acquire the digital twin bodies of the flood control dispatching system in real time and synchronization; s3, a digital twin body of the flood control dispatching system based on real-time synchronization is utilized to develop weather and hydrologic set forecast by utilizing a weather model and a plurality of hydrologic models, the flood control dispatching process of a week in the future of the target reservoir is predicted, analysis and judgment are carried out on flood control situations according to the prediction result, and an adjustment scheme of the current dispatching rule of the reservoir is provided. The advantages are that: the method overcomes the defects that the existing flood control scheduling method cannot comprehensively reflect real-time information of flood control scheduling, the weather hydrologic forecast is short in effective forecast period and low in forecast accuracy, can accurately provide information of a flood control scheduling process, dynamically evaluates flood control risks, and is convenient for smoothly carrying out flood disaster defense work.
Description
Technical Field
The invention relates to the technical field of flood control scheduling, in particular to a flood control scheduling method based on digital twinning.
Background
Flood is a water flow phenomenon caused by natural factors such as storm, flash ice and snow melting, storm tide and the like, wherein the water quantity of rivers, lakes and seas is rapidly increased or the water level is rapidly increased. Is influenced by the monsoon climate and the topography and topography, and flood disaster events in summer of China are frequent, which causes serious threat to the development of natural environment and national economy. Therefore, the planned control and dispatch of flood are always the focus of scientific research in the related fields by utilizing the regulation and control capability of the reservoir.
At present, reservoir flood control dispatching mainly comprises the following methods, namely a conventional dispatching mode and a forecast dispatching mode. The conventional dispatching method generally does not consider forecast information, and dispatching is carried out by taking the measured reservoir water level or the actual reservoir flow or the combination of the measured reservoir water level and the actual reservoir flow as the judging index of the reservoir discharge flow according to the task of reservoir flood control dispatching, the flood control characteristic water level and the reservoir flood control mode. The scheduling mode does not fully utilize weather and hydrologic forecast information, and has less real-time information feedback to the dam body and the flood discharge gate, and the simulated scheduling is different from the actual situation. The forecast scheduling mode is to consider weather and hydrologic forecast information, schedule according to the flood level of forecast, and pre-store or pre-discharge schedule by taking the forecast information (including forecast warehouse-in flow, forecast accumulated net rainfall, etc.) or the forecast information and the actual measured warehouse water level as the index of reservoir control leakage flow. However, the forecast scheduling also has a certain problem, on one hand, in order to provide a stable initial boundary condition for the model during the weather hydrologic forecast, a long-time cyclic numerical integration operation is often needed, and in addition, the model usually needs to perform a large amount of operations to determine an optimal parameter scheme, so that the calculation efficiency is greatly influenced, and the effective forecast period of the weather hydrologic forecast is shortened to a certain extent; on the other hand, when hydrologic forecasting is performed, real-time operation information of a plurality of hydraulic engineering on the current river basin is difficult to obtain in real time, calculation of a river channel converging process in a hydrologic model is affected, and accuracy of hydrologic forecasting is further affected. Both aspects bring a certain influence to the accurate decision of flood control scheduling.
Disclosure of Invention
The invention aims to provide a flood control scheduling method based on digital twinning, so as to solve the problems in the prior art.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
A flood control scheduling method based on digital twinning is carried out aiming at a flood control scheduling system, and the flood control scheduling system comprises a dam main body of a target reservoir, a flood discharge gate, an upstream river channel of a control river basin of the target reservoir and a reservoir; the flood control scheduling method comprises the following steps,
S1, constructing a digital twin body of a flood control dispatching system;
s2, tracking and updating the digital twin bodies of the flood control dispatching system to acquire the digital twin bodies of the flood control dispatching system in real time and synchronization;
S3, a digital twin body of the flood control dispatching system based on real-time synchronization is utilized to develop weather and hydrologic set forecast by utilizing a weather model and a plurality of hydrologic models, the flood control dispatching process of a week in the future of the target reservoir is predicted, analysis and judgment are carried out on flood control situations according to the prediction result, and an adjustment scheme of the current dispatching rule of the reservoir is provided.
Preferably, step S1 comprises in particular,
S11, establishing a geometric model of the flood control dispatching system, wherein the geometric model comprises elevation features, appearance features, size features and structural features of the flood control dispatching system;
S12, establishing a physical model of the flood control dispatching system based on a geometric model of the flood control dispatching system, wherein the physical model of the flood control dispatching system comprises a river channel dredging physical module, a dam monitoring physical module, a gate electric element physical module and a gate mechanical assembly physical module; the river channel dredging physical module comprises a river flow rate parameter, a river water depth parameter and a water-sand ratio parameter; the dam monitoring physical module comprises a dam body elastic modulus parameter and a dam foundation deformation modulus parameter, the flood control dispatching system gate electrical element physical module comprises a power supply system parameter, a main control system configuration parameter, a signal transmission parameter and an automatic monitoring system parameter, and the flood control dispatching system gate mechanical assembly physical module comprises an executing mechanism parameter and a connecting piece parameter;
s13, an operation behavior model of the flood control dispatching system is established based on a physical model of the flood control dispatching system, and the operation behavior model comprises a current dispatching rule of a reservoir, an information transmission module and a gate operation flow module.
Preferably, step S2 specifically includes,
S21, reading system state data of a flood control dispatching system;
s22, adjusting and calculating a flood process based on the current reservoir dispatching rules in the operation behavior model by utilizing system state data acquired in real time, and generating digital twin simulation data of the flood control dispatching system;
S23, real-time monitoring information of a flood control dispatching system is acquired in real time by using the arranged silt, water level and flow monitoring devices;
S24, matching the real-time monitoring information into a digital twin body, uploading historical data of the digital twin body to a database, analyzing digital twin analog data, and updating matched data in the digital twin body;
S25, comparing the updated digital twin body with a real-time reservoir flood control dispatching operation result, calculating deviation of the digital twin body and the real-time reservoir flood control dispatching operation result, and dynamically adjusting and correcting internal parameters of the digital twin body in real time by using an extended Kalman filtering algorithm so as to obtain the digital twin body of the real-time synchronous flood control dispatching system.
Preferably, the system state data comprises sediment monitoring system state data, water level monitoring system state data, flow monitoring system state data, flood discharge gate monitoring system state data and dam monitoring system state data; the sediment monitoring system state data comprises state data of a piezoelectric ceramic sensing piece of an information acquisition device, a temperature sensor, a communication device and a power supply module; the water level monitoring system state data comprises a water level data monitoring acquisition module, a GPRS module, a transmission network and general control room state data; the flow monitoring system state data comprises a communication server, WEB information monitoring management and centralized control management system state data of a branch center; the floodgate monitoring system status data comprises an industrial control computer, a programmable controller, an interface converter and power status data.
Preferably, the real-time monitoring information of the flood control dispatching system comprises target upstream river channel erosion monitoring information of a reservoir, target upstream river channel water level flow monitoring information of the reservoir, target upstream reservoir group monitoring information of the reservoir, target reservoir water level monitoring information and target reservoir flood discharge flow information; the upstream river channel silt flushing monitoring information of the target reservoir comprises upstream river channel silt content, silt condition and river channel change condition; the target reservoir upstream river channel water level flow monitoring information comprises upstream river channel water level real-time monitoring information and upstream river channel real-time flow monitoring information; the target reservoir upstream reservoir group monitoring information comprises upstream reservoir group warehousing flow real-time monitoring information, upstream reservoir group water level real-time monitoring information and upstream reservoir group downstream flow real-time monitoring information; the target reservoir water level monitoring information comprises target reservoir water level real-time monitoring information; the target reservoir flood discharge flow information comprises real-time monitoring information of the target reservoir subsurface discharge flow.
Preferably, step S3 comprises in particular,
S31, carrying out cyclic numerical integration simulation on a meteorological model and a hydrological model by utilizing precipitation, flow and water level data of a target reservoir acquired in real time based on a digital twin body of a real-time synchronous flood control dispatching system to acquire a stable meteorological model and a stable hydrological model; parameters in the stable meteorological model and the hydrological model are continuously corrected by utilizing precipitation, flow and water level data of the target reservoir, which are acquired in real time, and the meteorological model and the hydrological model under the optimal parameter combination are acquired;
S32, driving a meteorological model and a plurality of hydrologic models under the optimal parameter combination by utilizing weather forecast product data of the future week, developing weather hydrologic set forecast, and acquiring an average process, an upper limit process and a lower limit process of a warehouse-in runoff process of the future week of the target reservoir;
S33, analyzing a digital twin body of the real-time synchronous flood control dispatching system, extracting time domain features, dynamic features and drainage features, and regulating and calculating an average process, an upper limit process and a lower limit process of a warehouse-in runoff process of a target reservoir every hour in the future week by using the current dispatching rule of the reservoir to obtain three corresponding flood control dispatching results;
S34, carrying out flood control situation research and judgment based on three flood control dispatching results, and reminding decision-making staff to consider and adjust the current dispatching rules of the reservoir if the highest flood level of the dispatching results exceeds the design flood level, so that flood control risks are reduced; and if the highest flood level of the dispatching result does not exceed the flood control high water level, reminding a decision maker to consider further raising the flood limit water level to store water for benefit.
Preferably, step S32 is specifically to collect weather forecast product data of a future week in an upstream range of a control river basin of a target reservoir, and input the weather forecast product data into a weather model to forecast precipitation in a future week hour-by-hour scale; and then, the rainfall forecast information of the future week hour by hour is input into a plurality of hydrologic models to carry out multi-model set forecast, and the average process, the upper limit process and the lower limit process of the warehouse-in runoff process of the target reservoir of the future week hour by hour are obtained.
The beneficial effects of the invention are as follows: 1. the method overcomes the defects that the existing flood control scheduling method cannot comprehensively reflect real-time information of flood control scheduling, the weather hydrologic forecast is short in effective forecast period and low in forecast accuracy, can accurately provide information of a flood control scheduling process, dynamically evaluates flood control risks, and is convenient for smoothly carrying out flood disaster defense work. 2. The constructed real-time digital twin body better accords with the actual running condition of the reservoir dam, and the flood control scheduling result is more reliable. 3. And the real-time data feedback is used for analyzing the dispatching result and adjusting the existing dispatching rule, so that the comprehensive benefits of the reservoir can be better exerted compared with the existing dispatching mode. 4. By constructing the digital twin body at the upstream of the control river basin of the target reservoir, the real-time operation information of a plurality of hydraulic engineering at the upstream of the control river basin of the target reservoir is obtained in real time, and the calculation precision of the converging process in the hydrologic model is improved. Meanwhile, the weather hydrologic forecasting model keeps stable initial state and optimal parameter combination at all times, numerical simulation preheating and parameter calibration processing are not needed, direct hot start is performed, operation efficiency is greatly improved, effective forecasting period is prolonged, forecasting precision is improved, and further more accurate studying and judging can be provided for flood control scheduling decisions. 5. The real-time digital twin body at the upstream of the control river basin of the target reservoir is constructed, and the digital twin system can be rapidly applied to other upstream target reservoirs on the basis of the real-time digital twin body, so that the combined flood control scheduling of reservoir groups is realized.
Drawings
Figure 1 is a schematic flow chart of a flood control scheduling method in an embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the detailed description is presented by way of example only and is not intended to limit the invention.
As shown in fig. 1, in this embodiment, a flood control scheduling method based on digital twinning is provided, and the flood control scheduling method is performed for a flood control scheduling system, where the flood control scheduling system includes a dam main body of a target reservoir, a flood discharge gate, and upstream river channels and reservoirs of a control river basin of the target reservoir; the flood control scheduling method comprises the following steps,
S1, constructing a digital twin body of a flood control dispatching system;
s2, tracking and updating the digital twin bodies of the flood control dispatching system to acquire the digital twin bodies of the flood control dispatching system in real time and synchronization;
S3, a digital twin body of the flood control dispatching system based on real-time synchronization is utilized to develop weather and hydrologic set forecast by utilizing a weather model and a plurality of hydrologic models, the flood control dispatching process of a week in the future of the target reservoir is predicted, analysis and judgment are carried out on flood control situations according to the prediction result, and an adjustment scheme of the current dispatching rule of the reservoir is provided.
In this embodiment, referring to the above method process, it can be seen that the scheduling method provided by the present invention mainly includes three parts of content, namely, construction of a digital twin, tracking and updating of the digital twin, prediction of a flood control scheduling process, and adjustment of a flood control scheduling rule; the following is a detailed explanation of these three parts, respectively.
1. Construction of digital twins
This part corresponds to step S1, step S1 specifically comprising,
S11, establishing a geometric model of the flood control dispatching system, wherein the geometric model comprises elevation features, appearance features, size features and structural features of the flood control dispatching system;
The modeling object of the aggregate model is a flood control dispatching system, and the flood control dispatching system comprises a dam main body of a target reservoir, a flood discharge gate of the target reservoir, an upstream river channel of a control river basin of the target reservoir and the reservoir; modeling information of the geometric model comprises elevation features, appearance features, dimension features and structural features; the target reservoir and the elevation features of the upstream river channel and the reservoir can be extracted by utilizing data such as SRTM, ASTER and the like; river channel geometric features such as river width, river length and the like can be obtained through remote sensing image data and the GIS technology; the size and the structural characteristics of the flood discharge gate can be obtained through detection of an underwater robot;
S12, establishing a physical model of the flood control dispatching system based on a geometric model of the flood control dispatching system, wherein the physical model of the flood control dispatching system comprises a river channel dredging physical module, a dam monitoring physical module, a gate electric element physical module and a gate mechanical assembly physical module; the river channel dredging physical module comprises a river flow rate parameter, a river water depth parameter and a water-sand ratio parameter; the dam monitoring physical module comprises a dam body elastic modulus parameter and a dam foundation deformation modulus parameter, the flood control dispatching system gate electrical element physical module comprises a power supply system parameter, a main control system configuration parameter, a signal transmission parameter and an automatic monitoring system parameter, and the flood control dispatching system gate mechanical assembly physical module comprises an executing mechanism parameter and a connecting piece parameter;
The river flow rate parameter can be monitored by a flow rate meter, the river water depth parameter can be obtained by detecting by an underwater robot, river sediment can be tested by a sediment monitoring device, and the water-sediment ratio parameter can be obtained by combining the river flow rate, sediment quantity and the river geometrical characteristics. The dam body elastic modulus parameter and the dam foundation deformation modulus parameter can be obtained by inversion through utilizing dam prototype displacement monitoring data and combining a statistical model and a finite element method. The parameters of the power supply system, the configuration parameters of the main control system, the signal transmission parameters, the parameters of the automatic monitoring system, the parameters of the actuating mechanism and the parameters of the connecting piece can be obtained through the model of the actual reservoir gate equipment.
S13, an operation behavior model of the flood control dispatching system is established based on a physical model of the flood control dispatching system, and the operation behavior model comprises a current dispatching rule of a reservoir, an information transmission module and a gate operation flow module.
The operation behavior model comprises a reservoir current dispatching rule, an information transmission module and a gate operation flow module. Based on the construction of the geometric model and the physical model, the flood control dispatching process can be obtained according to the geometric and physical characteristic parameters of the target reservoir and the current dispatching rules of the reservoir, and then the situation of a flood process can be judged and decided by combining information transmission and gate operation flow information.
2. Tracking and updating of digital twins
The core content of the part is as follows: and reading system state data of the flood control dispatching system, analyzing system logic of the flood control dispatching system by combining with an operation behavior model, simulating an operation flow and system response, and generating digital twin simulation data of the flood control dispatching system. Based on the method, various data monitoring devices are utilized to collect data in real time, real-time monitoring information is matched into a digital twin body, digital twin body historical data is uploaded to a database, the matched data in the digital twin body are updated through analysis of digital twin body analog data, and parameters in the digital twin body are adjusted to obtain the real-time synchronous digital twin body.
The partial content corresponds to step S2, step S2 specifically includes the following,
S21, reading system state data of a flood control dispatching system;
The system state data comprise sediment monitoring system state data, water level monitoring system state data, flow monitoring system state data, flood discharge gate monitoring system state data and dam monitoring system state data; the sediment monitoring system state data comprises state data of a piezoelectric ceramic sensing plate of an information acquisition device, a temperature sensor, a communication device and a power supply module, and the state data is read once per hour; the water level monitoring system state data comprises a water level data monitoring acquisition module, a GPRS module, a transmission network and a general control room state data, and the water level data is automatically read once per hour; the flow monitoring system state data comprises a communication server, WEB information monitoring management and centralized control management system state data of a branch center, and the data is automatically read once per hour; the flood discharge gate monitoring system state data comprises an industrial control computer, a programmable controller, an interface converter and power supply power state data, and the data is automatically read once per hour.
S22, adjusting and calculating a flood process based on the current reservoir dispatching rules in the operation behavior model by utilizing system state data acquired in real time, and generating digital twin simulation data of the flood control dispatching system;
The adjustment calculation process needs to consider constraint conditions such as water level constraint and flow constraint of a target reservoir.
S23, real-time monitoring information of a flood control dispatching system is acquired in real time by using the arranged silt, water level and flow monitoring devices;
The real-time monitoring information of the flood control dispatching system comprises target reservoir upstream river channel erosion monitoring information, target reservoir upstream river channel water level flow monitoring information, target reservoir upstream water bank group monitoring information, target reservoir water level monitoring information and target reservoir flood discharge flow information; the upstream river channel flushing monitoring information of the target reservoir comprises upstream river channel sediment content, a sediment condition and a river channel change condition, and is automatically collected every half an hour; the upstream river water level flow monitoring information of the target reservoir comprises upstream river water level real-time monitoring information and upstream river real-time flow monitoring information, and is automatically collected once every half an hour; the target reservoir upstream reservoir group monitoring information comprises upstream reservoir group warehousing flow real-time monitoring information, upstream reservoir group water level real-time monitoring information and upstream reservoir group downstream drainage flow real-time monitoring information, and the information is automatically collected once every half hour; the target reservoir water level monitoring information comprises target reservoir water level real-time monitoring information; the flood discharge flow information of the target reservoir comprises real-time monitoring information of the discharge flow of the target reservoir, and the information is automatically collected every half hour.
And finally, rationality analysis is carried out on the acquired data information, and the analysis and correction of abnormal data shapes are carried out, so that the reliability of the real-time monitored data quality is ensured.
S24, matching the real-time monitoring information into a digital twin body, uploading historical data of the digital twin body to a database, analyzing digital twin analog data, and updating matched data in the digital twin body;
S25, comparing the updated digital twin body with a real-time reservoir flood control dispatching operation result, calculating deviation of the digital twin body and the real-time reservoir flood control dispatching operation result, and dynamically adjusting and correcting internal parameters of the digital twin body in real time by using an extended Kalman filtering algorithm so as to obtain the digital twin body of the real-time synchronous flood control dispatching system.
3. Flood control scheduling process prediction and flood control scheduling rule adjustment
The core content of the part is the basis of collecting weather forecast products, on the basis of stable operation of a weather model, the weather model and a plurality of hydrologic models are utilized to develop weather hydrologic set forecast, the flood control scheduling process of a week in the future is predicted, the flood control situation is analyzed and judged according to the prediction result, and an adjustment scheme of the flood control scheduling procedure is provided.
This part corresponds to step S3, step S3 comprising in particular,
S31, carrying out cyclic numerical integration simulation on a meteorological model and a hydrological model by utilizing precipitation, flow and water level data of a target reservoir acquired in real time based on a digital twin body of a real-time synchronous flood control dispatching system to acquire a stable meteorological model and a stable hydrological model; parameters in the stable meteorological model and the hydrological model are continuously corrected by utilizing precipitation, flow and water level data of the target reservoir, which are acquired in real time, and the meteorological model and the hydrological model under the optimal parameter combination are acquired;
And inputting the data such as precipitation and flow acquired in real time into the meteorological model and the hydrological model, and performing cyclic numerical integration simulation so as to provide a stable initial state for the next operation, and simultaneously, continuously correcting parameters in the meteorological model and the hydrological model according to the parameters acquired in real time to ensure that the parameter combination in the model is optimal, and acquiring the meteorological model and the hydrological model under the optimal parameter combination.
S32, driving a meteorological model and a plurality of hydrologic models under the optimal parameter combination by utilizing weather forecast product data of the future week, developing weather hydrologic set forecast, and acquiring an average process, an upper limit process and a lower limit process of a warehouse-in runoff process of the future week of the target reservoir;
And collecting weather forecast product data of a future week in the upstream range of the control river basin of the target reservoir under the condition that the weather model and the hydrologic model reach stable and optimal, wherein the data are released in a rolling way every 6 hours. Interpolation processing is carried out on the data, so that the time-space scale of the data is consistent with the upstream range of the control river basin of the target reservoir;
inputting the weather forecast product data into a weather model to forecast the precipitation in a future week hour-by-hour scale; on the basis, the rainfall forecast information of the future week hour by hour is input into a plurality of hydrologic models, multi-model set forecast is carried out, and the average process, the upper limit process and the lower limit process of the warehouse-in runoff process of the target reservoir week hour by hour are obtained.
S33, analyzing a digital twin body of the real-time synchronous flood control dispatching system, extracting time domain features, dynamic features and drainage features, and regulating and calculating an average process, an upper limit process and a lower limit process of a warehouse-in runoff process of a target reservoir every hour in the future week by using the current dispatching rule of the reservoir to obtain three corresponding flood control dispatching results;
according to 3 warehouse-in runoff processes of the future week and hour by hour, the current reservoir dispatching rules of the target reservoir are adopted to carry out adjustment calculation on the flood control dispatching processes of the future week, and because weather data of the future week are issued in a rolling way every 6 hours, the flood control dispatching processes of the future week of the target reservoir are also calculated in a rolling way every 6 hours, flood control dispatching decision-making personnel can carry out flood control situation research and judgment according to dispatching results, and adjustment can be carried out again every 6 hours.
S34, carrying out flood control situation research and judgment based on three flood control dispatching results, and reminding decision-making staff to consider and adjust the current dispatching rules of the reservoir if the highest flood level of the dispatching results exceeds the design flood level, so that flood control risks are reduced; and if the highest flood level of the dispatching result does not exceed the flood control high water level, reminding a decision maker to consider further raising the flood limit water level to store water for benefit.
The 3 scheduling processes are integrated, and the variation range of flood control risk rate and reservoir comprehensive benefit after adjustment of the scheduling rules can be provided for decision-making staff.
By adopting the technical scheme disclosed by the invention, the following beneficial effects are obtained:
The invention discloses a flood control scheduling method based on digital twinning, which overcomes the defects that the existing flood control scheduling method cannot comprehensively reflect real-time information of flood control scheduling, has short effective prediction period of weather and hydrologic prediction and low prediction precision, can accurately provide information of a flood control scheduling process, dynamically evaluates flood control risks, and is convenient for smoothly developing flood disaster defense work. The constructed real-time digital twin body better accords with the actual running condition of the reservoir dam, and the flood control scheduling result is more reliable. And the real-time data feedback is used for analyzing the dispatching result and adjusting the existing dispatching rule, so that the comprehensive benefits of the reservoir can be better exerted compared with the existing dispatching mode. By constructing the digital twin body at the upstream of the control river basin of the target reservoir, the real-time operation information of a plurality of hydraulic engineering at the upstream of the control river basin of the target reservoir is obtained in real time, and the calculation precision of the converging process in the hydrologic model is improved. Meanwhile, the weather hydrologic forecasting model keeps stable initial state and optimal parameter combination at all times, numerical simulation preheating and parameter calibration processing are not needed, direct hot start is performed, operation efficiency is greatly improved, effective forecasting period is prolonged, forecasting precision is improved, and further more accurate studying and judging can be provided for flood control scheduling decisions. The real-time digital twin body at the upstream of the control river basin of the target reservoir is constructed, and the digital twin system can be rapidly applied to other upstream target reservoirs on the basis of the real-time digital twin body, so that the combined flood control scheduling of reservoir groups is realized.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which is also intended to be covered by the present invention.
Claims (5)
1. A flood control scheduling method based on digital twinning is characterized in that: the flood control scheduling method is performed aiming at a flood control scheduling system, and the flood control scheduling system comprises a dam main body of a target reservoir, a flood discharge gate, an upstream river channel of a control river basin of the target reservoir and the reservoir; the flood control scheduling method comprises the following steps,
S1, constructing a digital twin body of a flood control dispatching system; step S1 specifically includes the following,
S11, establishing a geometric model of the flood control dispatching system, wherein the geometric model comprises elevation features, appearance features, size features and structural features of the flood control dispatching system;
S12, establishing a physical model of the flood control dispatching system based on a geometric model of the flood control dispatching system, wherein the physical model of the flood control dispatching system comprises a river channel dredging physical module, a dam monitoring physical module, a gate electric element physical module and a gate mechanical assembly physical module; the river channel dredging physical module comprises a river flow rate parameter, a river water depth parameter and a water-sand ratio parameter; the dam monitoring physical module comprises a dam body elastic modulus parameter and a dam foundation deformation modulus parameter, the flood control dispatching system gate electrical element physical module comprises a power supply system parameter, a main control system configuration parameter, a signal transmission parameter and an automatic monitoring system parameter, and the flood control dispatching system gate mechanical assembly physical module comprises an executing mechanism parameter and a connecting piece parameter;
s13, establishing an operation behavior model of the flood control dispatching system based on a physical model of the flood control dispatching system, wherein the operation behavior model comprises a current dispatching rule of a reservoir, an information transmission module and a gate operation flow module;
s2, tracking and updating the digital twin bodies of the flood control dispatching system to acquire the digital twin bodies of the flood control dispatching system in real time and synchronization;
S3, a digital twin body of the flood control dispatching system based on real-time synchronization is utilized to develop weather hydrologic set forecast by utilizing a weather model and a plurality of hydrologic models, the flood control dispatching process of a week in the future of a target reservoir is predicted, analysis and judgment are carried out on flood control situations according to a prediction result, and an adjustment scheme of the current dispatching rule of the reservoir is provided; step S3 specifically includes the following,
S31, carrying out cyclic numerical integration simulation on a meteorological model and a hydrological model by utilizing precipitation, flow and water level data of a target reservoir acquired in real time based on a digital twin body of a real-time synchronous flood control dispatching system to acquire a stable meteorological model and a stable hydrological model; parameters in the stable meteorological model and the hydrological model are continuously corrected by utilizing precipitation, flow and water level data of the target reservoir, which are acquired in real time, and the meteorological model and the hydrological model under the optimal parameter combination are acquired;
S32, driving a meteorological model and a plurality of hydrologic models under the optimal parameter combination by utilizing weather forecast product data of the future week, developing weather hydrologic set forecast, and acquiring an average process, an upper limit process and a lower limit process of a warehouse-in runoff process of the future week of the target reservoir;
S33, analyzing a digital twin body of the real-time synchronous flood control dispatching system, extracting time domain features, dynamic features and drainage features, and regulating and calculating an average process, an upper limit process and a lower limit process of a warehouse-in runoff process of a target reservoir every hour in the future week by using the current dispatching rule of the reservoir to obtain three corresponding flood control dispatching results;
S34, carrying out flood control situation research and judgment based on three flood control dispatching results, and reminding decision-making staff to consider and adjust the current dispatching rules of the reservoir if the highest flood level of the dispatching results exceeds the design flood level, so that flood control risks are reduced; and if the highest flood level of the dispatching result does not exceed the flood control high water level, reminding a decision maker to consider further raising the flood limit water level to store water for benefit.
2. The digital twinning-based flood control scheduling method according to claim 1, wherein: step S2 specifically includes the following,
S21, reading system state data of a flood control dispatching system;
s22, adjusting and calculating a flood process based on the current reservoir dispatching rules in the operation behavior model by utilizing system state data acquired in real time, and generating digital twin simulation data of the flood control dispatching system;
S23, real-time monitoring information of a flood control dispatching system is acquired in real time by using the arranged silt, water level and flow monitoring devices;
S24, matching the real-time monitoring information into a digital twin body, uploading historical data of the digital twin body to a database, analyzing digital twin analog data, and updating matched data in the digital twin body;
S25, comparing the updated digital twin body with a real-time reservoir flood control dispatching operation result, calculating deviation of the digital twin body and the real-time reservoir flood control dispatching operation result, and dynamically adjusting and correcting internal parameters of the digital twin body in real time by using an extended Kalman filtering algorithm so as to obtain the digital twin body of the real-time synchronous flood control dispatching system.
3. The digital twinning-based flood control scheduling method according to claim 2, wherein: the system state data comprise sediment monitoring system state data, water level monitoring system state data, flow monitoring system state data, flood discharge gate monitoring system state data and dam monitoring system state data; the sediment monitoring system state data comprises state data of a piezoelectric ceramic sensing piece of an information acquisition device, a temperature sensor, a communication device and a power supply module; the water level monitoring system state data comprises a water level data monitoring acquisition module, a GPRS module, a transmission network and general control room state data; the flow monitoring system state data comprises a communication server, WEB information monitoring management and centralized control management system state data of a branch center; the floodgate monitoring system status data comprises an industrial control computer, a programmable controller, an interface converter and power status data.
4. The digital twinning-based flood control scheduling method according to claim 2, wherein: the real-time monitoring information of the flood control dispatching system comprises target reservoir upstream river channel erosion monitoring information, target reservoir upstream river channel water level flow monitoring information, target reservoir upstream water bank group monitoring information, target reservoir water level monitoring information and target reservoir flood discharge flow information; the upstream river channel silt flushing monitoring information of the target reservoir comprises upstream river channel silt content, silt condition and river channel change condition; the target reservoir upstream river channel water level flow monitoring information comprises upstream river channel water level real-time monitoring information and upstream river channel real-time flow monitoring information; the target reservoir upstream reservoir group monitoring information comprises upstream reservoir group warehousing flow real-time monitoring information, upstream reservoir group water level real-time monitoring information and upstream reservoir group downstream flow real-time monitoring information; the target reservoir water level monitoring information comprises target reservoir water level real-time monitoring information; the target reservoir flood discharge flow information comprises real-time monitoring information of the target reservoir subsurface discharge flow.
5. The digital twinning-based flood control scheduling method according to claim 1, wherein: step S32 is specifically to collect weather forecast product data of a target reservoir control river basin in a future week, input the weather forecast product data into a weather model, and forecast precipitation in a future week hour-by-hour scale; and then, the rainfall forecast information of the future week hour by hour is input into a plurality of hydrologic models to carry out multi-model set forecast, and the average process, the upper limit process and the lower limit process of the warehouse-in runoff process of the target reservoir of the future week hour by hour are obtained.
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