Urban water system flood control combined dispatching command system based on digital twinborn technology

Abstract

The invention relates to an urban water system flood control joint dispatching command system based on a digital twinborn technology, and the system comprises a multi-stage digital bottom plate which constructs digital twinborn city data resources based on urban geospatial data, and the construction mode of the digital bottom plate carries out the grading and construction according to the data precision required by a model and the construction range corresponding to the model; a three-dimensional electronic water conservancy visualization chart is built based on the multi-stage data base plate; establishing a flood control platform model library, wherein the flood control platform model library comprises a flood prediction and engineering scheduling model of multilayer information fusion; flood control joint dispatching command is carried out through a multi-stage data base plate, a three-dimensional electronic water conservancy visualization chart and a flood control platform model library. According to the method, real-time tracking of flood control safety information is realized by utilizing urban geospatial data, a flood control monitoring and early warning system is formed, an urban river channel and water system combined dispatching model is constructed, the flood control project safety risk identification and early warning capability is improved, and technical support is provided for urban flood defense decision making.

Description

Technical Field

[0001] The present invention relates to a combined urban water system flood control dispatching and commanding system based on digital twin technology, which belongs to the technical field of flood control dispatching. Background Art

[0002] In response to the integrated development trend of smart water conservancy, the concept of digital twin basins has emerged. Digital twin basins are built based on digital twin technology. They map physical systems to virtual models in information space in a digital way, and collect real-time data with the help of various sensors and communication equipment to realize virtual representation and human-computer interaction of water conservancy facilities. These systems basically follow the hierarchical system of sensor information, computational simulation and optimization models of digital twins. Therefore, it is of great research value and practical significance to apply advanced virtual physical models and computational simulation technologies to explore multi-level and integrated smart water conservancy systems. At present, based on digital twin basins, smart water conservancy platforms have been gradually established based on digital twin technology to manage urban flood disasters through systematic thinking. The current research has established a simulation system for flood prediction and collaborative management, and improved physical systems through digital twins, such as monitoring and control of water conservancy facilities.

[0003] For mountainous cities, residents live in scattered areas, and there are complex and disaster-prone areas such as the lack of mountain-blocking ditches and retention areas at the foot of the mountains. Once a flood occurs, there will be no buffer and it will have a huge impact on the residents. Building a four-prevention platform for flood control in mountainous areas to achieve precise forecasting and warning of water disaster defense and intelligent scheduling and decision-making can play an important role in flood control in mountainous areas.

[0004] At present, for water conservancy project scheduling, there are still bottlenecks in data base, thorough perception, intelligent decision-making, etc. that need to be further broken through. In addition, the scheduling model still has problems such as single mode, poor applicability of complex systems, and differences from actual scheduling operations. It is urgent to carry out research on a general model for the joint scheduling of the overall water system.

[0005] At the same time, the virtual objects and computational models of complex water environments are not complete, and the virtual objects are mainly static natural objects and water conservancy projects. Moreover, the full-factor virtual scene of urban flood control is still imperfect. For specific regional and water resource intensive application needs, it is necessary to further expand virtual objects, quickly integrate dynamic data, and realize a digital twin system for intensive use of water resources. Summary of the invention

[0006] In order to overcome the above problems, the present disclosure provides a detachable electromechanical mounting frame, which has a simple structure, is easy to disassemble, has replaceable components, and is suitable for installing electromechanical equipment of different specifications.

[0007] The technical solution of the present disclosure is as follows:

[0008] A joint dispatching and commanding system for urban water system flood control based on digital twin technology includes the following steps:

[0009] Construct a multi-level digital baseplate of digital twin city data resources based on urban geographic spatial data, wherein the digital baseplate is constructed by level division and construction according to the data accuracy required by the model and the construction scope corresponding to the model;

[0010] Based on the multi-level data base, construct a three-dimensional electronic water conservancy visualization chart;

[0011] Establishing a flood control platform model library, which includes a flood prediction and engineering scheduling model with multi-layer information fusion;

[0012] Joint flood control dispatching and command is carried out through the multi-level data baseboard, the three-dimensional electronic water conservancy visualization chart and the flood control platform model library.

[0013] Furthermore, the urban geographic spatial data includes digital orthophotos, first data, second data and BIM data; the first data is a digital elevation model or a digital surface model, and the second data is an oblique photography image or a laser point cloud.

[0014] Furthermore, when constructing digital twin city data resources based on urban geographic spatial data, the model will be divided into three levels: L1, L2, and L3 according to the data accuracy required by the model and the construction scope corresponding to the model. Specifically:

[0015] The L1 model construction scope covers the entire urban area, using digital orthophotos and first data. The first data accuracy uses a 30m resolution, and the digital orthophoto data resolution is better than 2m.

[0016] The L2 construction scope is the key flood control area in the basin, which includes key river sections and key water conservancy projects. Digital orthophotos, first data and second data are used, where the accuracy of the first data is 2.5m, the resolution of the digital orthophoto data is 10cm, and the second data uses a resolution of 2.5cm;

[0017] The L3 construction scope includes key urban water conservancy projects, drainage facilities, sewage treatment plants, emergency rescue vehicles and drainage networks, and BIM data construction is carried out.

[0018] Furthermore, based on the multi-level data baseboard, a three-dimensional electronic water conservancy visualization chart is constructed, including:

[0019] Based on the multi-level data base, the basic information of river and lake systems, sluice dams and pumping stations, rainwater condition monitoring information and information provided by smart applications are superimposed and displayed to provide a visual statistical view;

[0020] Supports full-factor interface display, including a weather module. The weather module can realize the dynamic simulation display of morning and evening scene changes and light rain, moderate rain, heavy rain and snowfall scenes according to the input time and rainfall information;

[0021] The water level, flow rate and flow information at the monitoring sites are displayed graphically.

[0022] Furthermore, the multi-layer information fusion flood prediction and engineering scheduling model is constructed in the following way:

[0023] Obtain basin information, historical hydrological data, basic parameters and dispatching rules of hydraulic structures, and establish a hydrological-hydrodynamic coupling river flood forecasting model based on the MIKE series software;

[0024] According to the dispatching rules of water conservancy projects, a real-time dispatching model of water conservancy projects is established by simulating the flow capacity of the gates and the drainage capacity of the pumping stations, taking into account the hydraulic connection between the main river channels and the reservoirs.

[0025] Furthermore, the watershed data includes watershed digital elevation model data, river elevation data and watershed image maps;

[0026] The historical hydrological data include historical hydrological data and historical flood data;

[0027] The historical hydrological data are divided into a calibration data set and a verification data set.

[0028] Furthermore, a hydrological-hydrodynamic coupling river flood forecasting model is established based on the MIKE series software. According to the dispatching rules of water conservancy projects, a real-time dispatching model of water conservancy projects is established by simulating the flow capacity of the gate and the drainage capacity of the pumping station, considering the hydraulic connection between the main river and the reservoir. Specifically:

[0029] Use ArcGIS software to divide the watershed into sub-basins; perform Thiessen polygon processing, calculate the weight coefficient of the watershed rainfall station, process the river elevation data, extract the regional river network to divide it into multiple sub-basins, and import the sub-basin basic data of each sub-basin into the MIKE NAM module. The various parameters and variables of the NAM model represent the average values ​​of the sub-basins. The initial values ​​of the model parameters and variables can be initially determined according to the natural characteristics of the watershed and calibrated using historical hydrological data;

[0030] Based on the basin image map, the model river network file is drawn using the electronic image map, and the measured river section data is made into a section file. The basin boundary file, model parameter file and river network file are imported into the MIKE 11HD module, and the MIKE NAM module and MIKE 11HD module are imported into the MIKE 11sim file to establish a hydrological-hydrodynamic coupling flood forecasting model.

[0031] According to the types of hydraulic structures in the urban area, combined with the basic parameters of hydraulic structures, and targeting the discharge and flow characteristics of various hydraulic projects, a hydraulic model simulating hydraulic structures is built in the initial hydrological-hydrodynamic coupling model, and the scheduling rules of hydraulic projects are built in to establish a real-time scheduling model for hydraulic projects;

[0032] The calibration data set and the hydraulic structure scheduling plan of the historical rainfall events are introduced into the hydrological-hydrodynamic coupling flood forecasting model, and the hydrological-hydrodynamic coupling flood forecasting model is calibrated by using a parameter optimization algorithm; during the calibration process, four different calibration targets are optimized at the same time, and the four targets are total water volume balance, overall shape of the process line, high flow and low flow;

[0033] The Nash-Sutcliffe efficiency coefficient R 2 As the evaluation index, the objective function Obj(F) is defined as:

[0034]

[0035] in, is the arithmetic mean of the measured runoff; Q sim,i is the simulated runoff corresponding to time i; Q obs,i is the actual runoff corresponding to time i; N is the total number of time steps during the calibration period;

[0036] Importing the verification data set into the calibrated hydrological-hydrodynamic coupling flood forecasting model, determining the model accuracy through the Nash efficiency coefficient between the measured data and the simulated data generated by the model calculation, verifying the calibrated hydrological-hydrodynamic coupling flood forecasting model, and using the verified hydrological-hydrodynamic coupling flood forecasting model as the calibrated hydrological-hydrodynamic coupling flood forecasting model;

[0037] Regularly obtain the grid meteorological forecast data and warm-up period rainfall data of each rainfall station in the study basin, where the grid meteorological forecast data must provide a forecast period of no less than that set by the automatic forecast, and the warm-up period rainfall data refers to the historical rainfall data of each rainfall station in the study basin a preset number of days before the current time; obtain the forecast period rainfall data of the rainfall stations in the study basin based on the grid meteorological forecast data and the longitude and latitude of each rainfall station;

[0038] The forecast period rainfall data and the warm-up period rainfall data are processed into time rainfall series files with equal time intervals, and the two time rainfall series files are spliced ​​to form a complete time series rainfall data file;

[0039] Calculate the weight coefficient of the rainfall station in the basin, and calculate the surface rainfall of each sub-basin according to the surface rainfall calculation formula and the rainfall data file of the rainfall station:

[0040] P=∑a j p i ;

[0041] Where: P is the rainfall intensity of the sub-basin; i is the number of rainfall stations associated with the sub-basin, a j is the area proportion of the sub-basin affected by each rainfall station, p i is the rainfall intensity at each raingauge station;

[0042] The Hamon daily scale method is used to calculate the daily scale evaporation within the automatic forecast time:

[0043] E P =αD 2 Pt;

[0044] Among them, E P is the daily evaporation; D is the daytime duration; Pt is the saturated water vapor density term; α is the adjustment coefficient;

[0045] The daily-scale evaporation is distributed into evaporations with the same time interval as the rainfall data file using a sine function;

[0046] The surface rainfall and evaporation of each sub-basin in the study basin are imported into the hydrological-hydrodynamic coupling flood forecasting model to generate and display the flood forecast and warning information of the study basin.

[0047] Furthermore, the flood control joint dispatching and commanding is carried out through the multi-level data baseboard, the three-dimensional electronic water conservancy visualization chart and the flood control platform model library, including:

[0048] The forecast module displays real-time rainfall measurement data, forecast rainfall data and short-term forecast rainfall trends. It establishes a river hydrodynamic model based on the operating information of key river projects and historical rainfall data, realizes the prediction of cumulative rainfall in a period of time and the maximum water levels upstream and downstream of the main sections of key projects within the period of time, and the prediction of cumulative rainfall in a period of time; realizes the prediction of the maximum water level and the time of occurrence of the maximum water level in the main sections of the river, and displays the relationship between the maximum water level and the riverbank elevation.

[0049] Furthermore, the flood control joint dispatching and commanding is carried out through the multi-level data baseboard, the three-dimensional electronic water conservancy visualization chart and the flood control platform model library, including:

[0050] The early warning module issues early warnings for real-time rainfall, forecast rainfall, real-time reservoir water level, and real-time river water level that exceed the threshold; based on the flood control platform model library, it simulates the cross-section water level at future times and the cross-section water level adjacent to the hydraulic structure, and issues early warnings for cross-sections where the highest water level exceeds the threshold

[0051] Furthermore, the flood control joint dispatching and commanding is carried out through the multi-level data baseboard, the three-dimensional electronic water conservancy visualization chart and the flood control platform model library, including:

[0052] The rehearsal module conducts intelligent simulation and presents the simulation results of the scheduling plan for early warning risks based on forecast information, water conservancy project scheduling rules and historical plans. The accuracy of water system scheduling simulation results is improved by combining automatic configuration, manual configuration, automatic configuration and manual configuration modules. Among them, the manual configuration, automatic configuration and manual configuration coordination modes can simulate the number of gate opening holes, realizing the programmed scheduling control of water conservancy projects.

[0053] The present disclosure has the following beneficial effects:

[0054] This paper uses the urban geographic spatial data of the city to achieve real-time tracking of flood safety information, form a flood monitoring and early warning system, build a joint dispatching model for urban river systems, improve the safety risk identification and early warning capabilities of flood control projects, and provide technical support for urban flood defense decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 The present invention is a method flow chart of an embodiment of the present invention.

[0056] Figure 2 The figure is a schematic diagram of data flow of the command platform of the embodiment of the present disclosure.

[0057] Figure 3 It is a module schematic diagram of the command system of the embodiment of the present disclosure. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution of the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings of the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the described embodiments of the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0059] Unless otherwise defined, the technical terms or scientific terms used in the present disclosure should be understood by people with ordinary skills in the field to which the present disclosure belongs. The "first", "second" and similar words used in the present disclosure do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing in front of the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly. In order to keep the following description of the embodiments of the present disclosure clear and concise, the present disclosure omits the detailed description of some known functions and known components.

[0060] The present disclosure is described in detail below with reference to the accompanying drawings and specific embodiments.

[0061] refer to Figure 1 and 3 , a joint dispatching and commanding system for urban water system flood control based on digital twin technology, including the following steps:

[0062] Construct a multi-level digital baseplate of digital twin city data resources based on urban geographic spatial data, wherein the digital baseplate is constructed by level division and construction according to the data accuracy required by the model and the construction scope corresponding to the model;

[0063] Based on the multi-level data base, construct a three-dimensional electronic water conservancy visualization chart;

[0064] Establishing a flood control platform model library, which includes a flood prediction and engineering scheduling model with multi-layer information fusion;

[0065] Joint flood control dispatching and command is carried out through the multi-level data baseboard, the three-dimensional electronic water conservancy visualization chart and the flood control platform model library.

[0066] In one embodiment of the present invention, the urban geographic spatial data includes a digital orthophoto map, first data, second data and BIM data; the first data is a digital elevation model or a digital surface model, and the second data is an oblique photography image or a laser point cloud.

[0067] In one embodiment of the present invention, when constructing digital twin city data resources based on urban geographic spatial data, the model is divided into three levels: L1, L2, and L3 according to the data accuracy required by the model and the construction scope corresponding to the model. Specifically:

[0068] The L1 model construction scope covers the entire urban area, using digital orthophotos and first data. The first data accuracy uses a 30m resolution, and the digital orthophoto data resolution is better than 2m.

[0069] The L2 construction scope is the key flood control area in the basin, which includes key river sections and key water conservancy projects. Digital orthophotos, first data and second data are used, where the accuracy of the first data is 2.5m, the resolution of the digital orthophoto data is 10cm, and the second data uses a resolution of 2.5cm;

[0070] The L3 construction scope includes key urban water conservancy projects, drainage facilities, sewage treatment plants, emergency rescue vehicles and drainage networks, and BIM data construction is carried out.

[0071] In one embodiment of the present invention, based on the multi-level data baseboard, a visualization chart of three-dimensional electronic water conservancy is constructed, including:

[0072] Based on the multi-level data base, the basic information of river and lake systems, sluice dams and pumping stations, rainwater condition monitoring information and information provided by smart applications are superimposed and displayed to provide a visual statistical view;

[0073] Supports full-factor interface display, including a weather module. The weather module can realize the dynamic simulation display of morning and evening scene changes and light rain, moderate rain, heavy rain and snowfall scenes according to the input time and rainfall information;

[0074] The water level, flow rate and flow information at the monitoring sites are displayed graphically.

[0075] In one embodiment of the present invention, the multi-layer information fusion flood prediction and engineering scheduling model is constructed in the following manner:

[0076] Obtain basin information, historical hydrological data, basic parameters and dispatching rules of hydraulic structures, and establish a hydrological-hydrodynamic coupling river flood forecasting model based on the MIKE series software;

[0077] According to the dispatching rules of water conservancy projects, a real-time dispatching model of water conservancy projects is established by simulating the flow capacity of the gates and the drainage capacity of the pumping stations, taking into account the hydraulic connection between the main river channels and the reservoirs.

[0078] In one embodiment of the present invention, the watershed data includes watershed digital elevation model data, river elevation data and watershed image map;

[0079] The historical hydrological data include historical hydrological data and historical flood data;

[0080] The historical hydrological data are divided into a calibration data set and a verification data set.

[0081] In one embodiment of the present invention, a hydrological-hydrodynamic coupling river flood forecasting model is established based on the MIKE series software, and according to the dispatching rules of water conservancy projects, a real-time dispatching model of water conservancy projects is established by simulating and calculating the flow capacity of the gate and the drainage capacity of the pumping station, taking into account the hydraulic connection between the main river and the reservoir, specifically:

[0082] Use ArcGIS software to divide the watershed into sub-basins; perform Thiessen polygon processing, calculate the weight coefficient of the watershed rainfall station, process the river elevation data, extract the regional river network to divide it into multiple sub-basins, and import the sub-basin basic data of each sub-basin into the MIKE NAM module. The various parameters and variables of the NAM model represent the average values ​​of the sub-basins. The initial values ​​of the model parameters and variables can be initially determined according to the natural characteristics of the watershed and calibrated using historical hydrological data;

[0083] Based on the basin image map, the model river network file is drawn using the electronic image map, and the measured river section data is made into a section file. The basin boundary file, model parameter file and river network file are imported into the MIKE 11HD module, and the MIKE NAM module and MIKE 11HD module are imported into the MIKE 11sim file to establish a hydrological-hydrodynamic coupling flood forecasting model.

[0084] According to the types of hydraulic structures in the urban area, combined with the basic parameters of hydraulic structures, and targeting the discharge and flow characteristics of various hydraulic projects, a hydraulic model simulating hydraulic structures is built in the initial hydrological-hydrodynamic coupling model, and the scheduling rules of hydraulic projects are built in to establish a real-time scheduling model for hydraulic projects;

[0085] The calibration data set and the hydraulic structure scheduling plan of the historical rainfall events are introduced into the hydrological-hydrodynamic coupling flood forecasting model, and the hydrological-hydrodynamic coupling flood forecasting model is calibrated by using a parameter optimization algorithm; during the calibration process, four different calibration targets are optimized at the same time, and the four targets are total water volume balance, overall shape of the process line, high flow and low flow;

[0086] The Nash-Sutcliffe efficiency coefficient R 2 As the evaluation index, the objective function Obj(F) is defined as:

[0087]

[0088] in, is the arithmetic mean of the measured runoff; Q sim,i is the simulated runoff corresponding to time i; Q obs,iis the actual runoff corresponding to time i; N is the total number of time steps during the calibration period;

[0089] Importing the verification data set into the calibrated hydrological-hydrodynamic coupling flood forecasting model, determining the model accuracy through the Nash efficiency coefficient between the measured data and the simulated data generated by the model calculation, verifying the calibrated hydrological-hydrodynamic coupling flood forecasting model, and using the verified hydrological-hydrodynamic coupling flood forecasting model as the calibrated hydrological-hydrodynamic coupling flood forecasting model;

[0090] Regularly obtain the grid meteorological forecast data and warm-up period rainfall data of each rainfall station in the study basin, where the grid meteorological forecast data must provide a forecast period of no less than that set by the automatic forecast, and the warm-up period rainfall data refers to the historical rainfall data of each rainfall station in the study basin a preset number of days before the current time; obtain the forecast period rainfall data of the rainfall stations in the study basin based on the grid meteorological forecast data and the longitude and latitude of each rainfall station;

[0091] The forecast period rainfall data and the warm-up period rainfall data are processed into time rainfall series files with equal time intervals, and the two time rainfall series files are spliced ​​to form a complete time series rainfall data file;

[0092] Calculate the weight coefficient of the rainfall station in the basin, and calculate the surface rainfall of each sub-basin according to the surface rainfall calculation formula and the rainfall data file of the rainfall station:

[0093] P=∑a j p i ;

[0094] Where: P is the rainfall intensity of the sub-basin; i is the number of rainfall stations associated with the sub-basin, a j is the area proportion of the sub-basin affected by each rainfall station, p i is the rainfall intensity at each raingauge station;

[0095] The Hamon daily scale method is used to calculate the daily scale evaporation within the automatic forecast time:

[0096] E P =αD 2 Pt;

[0097] Among them, E P is the daily evaporation; D is the daytime duration; Pt is the saturated water vapor density term; α is the adjustment coefficient;

[0098] The daily-scale evaporation is distributed into evaporations with the same time interval as the rainfall data file using a sine function;

[0099] The surface rainfall and evaporation of each sub-basin in the study basin are imported into the hydrological-hydrodynamic coupling flood forecasting model to generate and display the flood forecast and warning information of the study basin.

[0100] In one embodiment of the present invention, the flood control joint dispatching and commanding is performed through the multi-level data baseboard, the three-dimensional electronic water conservancy visualization chart and the flood control platform model library, including:

[0101] The forecast module displays real-time rainfall measurement data, forecast rainfall data and short-term forecast rainfall trends. It establishes a river hydrodynamic model based on the operating information of key river projects and historical rainfall data, realizes the prediction of cumulative rainfall in a period of time and the maximum water levels upstream and downstream of the main sections of key projects within the period of time, and the prediction of cumulative rainfall in a period of time; realizes the prediction of the maximum water level and the time of occurrence of the maximum water level in the main sections of the river, and displays the relationship between the maximum water level and the riverbank elevation.

[0102] In one embodiment of the present invention, the flood control joint dispatching and commanding is performed through the multi-level data baseboard, the three-dimensional electronic water conservancy visualization chart and the flood control platform model library, including:

[0103] The early warning module issues early warnings for real-time rainfall, forecast rainfall, real-time reservoir water level, and real-time river water level that exceed the threshold; based on the flood control platform model library, it simulates the cross-section water level at future times and the cross-section water level adjacent to the hydraulic structure, and issues early warnings for cross-sections where the highest water level exceeds the threshold

[0104] In one embodiment of the present invention, the flood control joint dispatching and commanding is performed through the multi-level data baseboard, the three-dimensional electronic water conservancy visualization chart and the flood control platform model library, including:

[0105] The rehearsal module conducts intelligent simulation and presents the simulation results of the scheduling plan for early warning risks based on forecast information, water conservancy project scheduling rules and historical plans. The accuracy of water system scheduling simulation results is improved by combining automatic configuration, manual configuration, automatic configuration and manual configuration modules. Among them, the manual configuration, automatic configuration and manual configuration coordination modes can simulate the number of gate opening holes, realizing the programmed scheduling control of water conservancy projects.

[0106] refer to Figure 2-3 In some embodiments of the present invention, a plan function is also included. The plan module can create a new plan or query historical plans, and can query the plan information related to the structured plan. The plan information includes flood control working groups, flood control materials, emergency rescue teams, personnel transfers, etc., and is superimposed on the relevant layers.

[0107] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0108] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a unit does not, in some cases, limit the unit itself.

[0109] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0110] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0111] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0112] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

[0113] There are a few points to note about this disclosure:

[0114] (1) The drawings of the embodiments of the present disclosure only relate to the structures related to the embodiments of the present disclosure, and other structures may refer to the general design.

[0115] (2) In the absence of conflict, the embodiments of the present disclosure and the features therein may be combined with each other to obtain new embodiments.

[0116] The above descriptions are merely embodiments of the present disclosure and are not intended to limit the patent scope of the present disclosure. Any equivalent structures made using the contents of the present disclosure and the drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present disclosure.

Claims

1. A joint dispatching and command system for urban water system flood control based on digital twin technology, characterized in that: The following steps are involved: Construct a multi-level digital baseplate of digital twin city data resources based on urban geographic spatial data, wherein the digital baseplate is constructed by level division and construction according to the data accuracy required by the model and the construction scope corresponding to the model; Based on the multi-level data baseboard, construct a three-dimensional electronic water conservancy visualization chart; Establishing a flood control platform model library, the flood control platform model library includes a flood prediction and engineering scheduling model with multi-layer information fusion; Joint flood control dispatching and command is carried out through the multi-level data baseboard, the three-dimensional electronic water conservancy visualization chart and the flood control platform model library.

2. According to the urban water system flood control joint dispatching and commanding system based on digital twin technology according to claim 1, it is characterized in that: The urban geographic spatial data includes digital orthophotos, first data, second data and BIM data; the first data is a digital elevation model or a digital surface model, and the second data is an oblique photography image or a laser point cloud.

3. According to claim 2, the urban water system flood control joint dispatching and command system based on digital twin technology is characterized in that: When constructing digital twin city data resources based on urban geographic spatial data, the model will be divided into three levels: L1, L2, and L3 according to the data accuracy required by the model and the construction scope corresponding to the model. Specifically: The L1 model construction scope covers the entire urban area, using digital orthophotos and first data. The first data accuracy uses a 30m resolution, and the digital orthophoto data resolution is better than 2m. The L2 construction scope is the key flood control area in the basin, which includes key river sections and key water conservancy projects. Digital orthophotos, first data and second data are used, where the accuracy of the first data is 2.5m, the resolution of the digital orthophoto data is 10cm, and the second data uses a resolution of 2.5cm; The L3 construction scope includes key urban water conservancy projects, drainage facilities, sewage treatment plants, emergency rescue vehicles and drainage networks, and BIM data construction is carried out.

4. According to claim 1, the urban water system flood control joint dispatching and command system based on digital twin technology is characterized in that: Based on the multi-level data base, a visualization chart of three-dimensional electronic water conservancy is constructed, including: Based on the multi-level data base, the basic information of river and lake systems, sluice dams and pumping stations, rainwater condition monitoring information and information provided by smart applications are superimposed and displayed to provide a visual statistical view; Supports full-factor interface display, including a weather module. The weather module can realize the dynamic simulation display of morning and evening scene changes and light rain, moderate rain, heavy rain and snowfall scenes according to the input time and rainfall information; The water level, flow rate and flow information at the monitoring sites are displayed in graphical form.

5. The urban water system flood control joint dispatching and command system based on digital twin technology according to claim 1 is characterized in that: The multi-layer information fusion flood prediction and engineering scheduling model is constructed in the following way: Obtain basin information, historical hydrological data, basic parameters and dispatching rules of hydraulic structures, and establish a hydrological-hydrodynamic coupling river flood forecasting model based on the MIKE series software; According to the dispatching rules of water conservancy projects, a real-time dispatching model of water conservancy projects is established by simulating the flow capacity of the gates and the drainage capacity of the pumping stations, taking into account the hydraulic connection between the main river channels and the reservoirs.

6. The urban water system flood control joint dispatching and command system based on digital twin technology according to claim 5 is characterized in that: The watershed data include watershed digital elevation model data, river elevation data and watershed image maps; The historical hydrological data include historical hydrological data and historical flood data; The historical hydrological data are divided into a calibration data set and a verification data set.

7. The urban water system flood control joint dispatching and command system based on digital twin technology according to claim 6 is characterized in that: Based on the MIKE series software, a hydrological-hydrodynamic coupling river flood forecasting model is established. According to the dispatching rules of water conservancy projects, the flow capacity of the gate and the pumping capacity of the pump station are simulated and calculated, and the hydraulic connection between the main river and the reservoir is considered to establish a real-time dispatching model for water conservancy projects. Specifically: Use ArcGIS software to divide the watershed into sub-basins; perform Thiessen polygon processing, calculate the weight coefficient of the watershed rainfall station, process the river elevation data, extract the regional river network to divide it into multiple sub-basins, and import the sub-basin basic data of each sub-basin into the MIKE NAM module. The various parameters and variables of the NAM model represent the average values ​​of the sub-basins. The initial values ​​of the model parameters and variables can be initially determined according to the natural characteristics of the watershed and calibrated using historical hydrological data; Based on the basin image map, the model river network file is drawn using the electronic image map, and the measured river section data is made into a section file. The basin boundary file, model parameter file and river network file are imported into the MIKE 11HD module, and the MIKE 11HD module and the MIKE 11sim module are imported into the MIKE 11sim file to establish a hydrological-hydrodynamic coupling flood forecasting model. According to the types of hydraulic structures in the urban area, combined with the basic parameters of hydraulic structures, and targeting the discharge and flow characteristics of various hydraulic projects, a hydraulic model simulating hydraulic structures is built in the initial hydrological-hydrodynamic coupling model, and the scheduling rules of hydraulic projects are built in to establish a real-time scheduling model for hydraulic projects; The calibration data set and the hydraulic structure scheduling plan of the historical rainfall events are introduced into the hydrological-hydrodynamic coupling flood forecasting model, and the hydrological-hydrodynamic coupling flood forecasting model is calibrated by using a parameter optimization algorithm; during the calibration process, four different calibration targets are optimized at the same time, and the four targets are total water volume balance, overall shape of the process line, high flow and low flow; The Nash-Sutcliffe efficiency coefficient R 2 As the evaluation index, the objective function Obj(F) is defined as: in, is the arithmetic mean of the measured runoff; Q sim,i is the simulated runoff corresponding to time i; Q obs,i is the actual runoff corresponding to time i; N is the total number of time steps during the calibration period; Importing the verification data set into the calibrated hydrological-hydrodynamic coupling flood forecasting model, determining the model accuracy through the Nash efficiency coefficient between the measured data and the simulated data generated by the model calculation, verifying the calibrated hydrological-hydrodynamic coupling flood forecasting model, and using the verified hydrological-hydrodynamic coupling flood forecasting model as the calibrated hydrological-hydrodynamic coupling flood forecasting model; Regularly obtain the grid meteorological forecast data and warm-up period rainfall data of each rainfall station in the study basin, where the grid meteorological forecast data must provide a forecast period of no less than that set by the automatic forecast, and the warm-up period rainfall data refers to the historical rainfall data of each rainfall station in the study basin a preset number of days before the current time; obtain the forecast period rainfall data of the rainfall stations in the study basin based on the grid meteorological forecast data and the longitude and latitude of each rainfall station; The forecast period rainfall data and the warm-up period rainfall data are processed into time rainfall series files with equal time intervals, and the two time rainfall series files are spliced ​​to form a complete time series rainfall data file; Calculate the weight coefficient of the rainfall station in the basin, and calculate the surface rainfall of each sub-basin according to the surface rainfall calculation formula and the rainfall data file of the rainfall station: P=∑a j p i ; Where: P is the rainfall intensity of the sub-basin; i is the number of rainfall stations associated with the sub-basin, a j is the area proportion of the sub-basin affected by each rainfall station, p i is the rainfall intensity at each raingauge station; The Hamon daily scale method is used to calculate the daily scale evaporation within the automatic forecast time: AND P =αD 2 PT; Among them, E P is the daily evaporation; D is the daytime duration; Pt is the saturated water vapor density term; α is the adjustment coefficient; The daily-scale evaporation is distributed into evaporations with the same time interval as the rainfall data file using a sine function; The surface rainfall and evaporation of each sub-basin in the study basin are imported into the hydrological-hydrodynamic coupling flood forecasting model to generate and display the flood forecast and warning information of the study basin.

8. The urban water system flood control joint dispatching and command system based on digital twin technology according to claim 1 is characterized in that: The flood control joint dispatching and commanding is carried out through the multi-level data baseboard, the three-dimensional electronic water conservancy visualization chart and the flood control platform model library, including: The forecast module displays real-time rainfall measurement data, forecast rainfall data and short-term forecast rainfall trends. It establishes a river hydrodynamic model based on the operating information of key river projects and historical rainfall data, realizes the prediction of cumulative rainfall in a period of time and the maximum water levels upstream and downstream of the main sections of key projects within the period of time, and the prediction of cumulative rainfall in a period of time; realizes the prediction of the maximum water level and the time of occurrence of the maximum water level in the main sections of the river, and displays the relationship between the maximum water level and the riverbank elevation.

9. The urban water system flood control joint dispatching and commanding system based on digital twin technology according to claim 8 is characterized in that: The flood control joint dispatching and commanding is carried out through the multi-level data baseboard, the three-dimensional electronic water conservancy visualization chart and the flood control platform model library, including: The early warning module issues early warning for real-time rainfall, forecast rainfall, real-time reservoir water level, and real-time river water level that exceed the threshold. It simulates the section water level at future times and the water level of the section adjacent to the hydraulic structure based on the flood control platform model library, and issues early warning for sections where the highest water level exceeds the threshold.

10. The urban water system flood control joint dispatching and commanding system based on digital twin technology according to claim 9 is characterized in that: The flood control joint dispatching and commanding is carried out through the multi-level data baseboard, the three-dimensional electronic water conservancy visualization chart and the flood control platform model library, including: The rehearsal module conducts intelligent simulation and presents the simulation results of the scheduling plan for early warning risks based on forecast information, water conservancy project scheduling rules and historical plans. The accuracy of water system scheduling simulation results is improved by combining automatic configuration, manual configuration, automatic configuration and manual configuration modules. Among them, the manual configuration, automatic configuration and manual configuration coordination modes can simulate the number of gate opening holes, realizing the programmed scheduling control of water conservancy projects.

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