A flood disaster prevention deduction method, system, terminal and storage medium

Abstract

The application relates to a flood disaster prevention deduction method and system, a terminal and a storage medium, and relates to the technical field of flood disaster deduction. The method comprises the following steps: acquiring basic geographic data and scenario editing data of a target area; presetting a disaster analysis model, and performing data analysis on the basic geographic data and the scenario editing data according to the disaster analysis model to obtain a model analysis result; judging whether rescue and relief of the target area is needed according to the model analysis result, and if needed, generating a rescue and relief plan according to the model analysis result, and performing rescue and relief deduction of the target area according to the rescue and relief plan; performing dynamic virtual simulation of the rescue and relief deduction to obtain deduction results, and analyzing the deduction results to obtain a deduction result analysis report. The application has the effect of improving the prevention and treatment of flood disasters.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of flood disaster deduction, in particular to a flood disaster defense deduction method and system, a terminal and a storage medium. BACKGROUND

[0002] Flood disaster is a natural disaster that can cause large-scale destruction of buildings, crops and environmental pollution. How to reduce the loss caused by flood disaster is a hot research direction.

[0003] Currently, the prevention and control of flood disaster is mainly through meteorological information monitoring to predict the arrival of flood disaster and propose targeted prevention and control measures. This method mainly has the following problems: lack of predictive assessment of the development trend of flood disaster, unable to simulate the process of rescue and relief, and thus the practicality of the prevention and control measures is poor. Therefore, there is a defect that the prevention and control effect of flood disaster is not ideal. SUMMARY

[0004] The purpose of the application is to provide a flood disaster defense method, system, terminal and storage medium to solve the above technical problems.

[0005] In a first aspect, the application provides a flood disaster defense deduction method, which adopts the following technical solution:

[0006] A flood disaster defense deduction method comprises:

[0007] Obtaining basic geographic data and scenario editing data of a target area;

[0008] Presetting a disaster analysis model, and performing data analysis on the basic geographic data and the scenario editing data according to the disaster analysis model to obtain a model analysis result;

[0009] According to the model analysis result, it is judged whether rescue and relief is needed for the target area, if needed, a rescue and relief plan is generated according to the model analysis result, and rescue and relief deduction is performed on the target area according to the rescue and relief plan;

[0010] The rescue and relief deduction is dynamically virtually simulated to obtain a deduction result, and the deduction result is analyzed to obtain a deduction result analysis report.

[0011] By adopting the technical scheme, the basic geographic data and the scenario editing data of the selected region are acquired, the basic geographic data and the scenario editing data are analyzed according to a preset disaster analysis model to obtain a model analysis result, whether the selected region needs to be rescued is determined according to the model analysis result, a rescue plan is generated if the selected region needs to be rescued, and the selected region is rescued according to the rescue plan, the rescue is virtually simulated dynamically to obtain a simulation result, and the simulation result is analyzed to obtain a simulation result analysis report. Therefore, the whole process of flood disaster prevention can be intuitively displayed, disaster response experience can be gradually enriched, and disaster response level can be further improved, so that the prevention and control effect of flood disasters can be improved.

[0012] Optionally, after the basic geographic data and the scenario editing data of the target region are acquired, a basic rule for assisting the simulation process needs to be acquired.

[0013] By adopting the technical scheme, the task content and the responsibility range in the simulation process can be determined by acquiring the basic rule.

[0014] Optionally, according to the target region, the basic geographic data, the scenario editing data and the basic rule, an initial scene of the simulation is automatically created, and a simulation countdown state is entered, relevant participants enter a simulation standby state, and wait for receiving a simulation instruction.

[0015] By adopting the technical scheme, according to the set target region, the basic geographic data, the scenario editing data and the basic rule, an initial scene of the simulation can be automatically created, a simulation countdown state is entered, relevant participants enter a simulation standby state, and wait for receiving a simulation instruction, so that the simulation preparation can be better performed.

[0016] Optionally, the preset disaster analysis model, and the basic geographic data and the scenario editing data are analyzed according to the disaster analysis model to obtain a model analysis result, specifically including:

[0017] According to the disaster analysis model, the basic geographic data and the scenario editing data are analyzed to simulate river water regime, reservoir water regime, flood disaster, and flood and disaster data of the flooded range, to obtain water level change, flood evolution and flooding of the target region.

[0018] By adopting the technical scheme, the basic geographic data and the scenario editing data are analyzed to simulate river water regime, reservoir water regime, flood disaster, and flood and disaster data of the flooded range, to obtain water level change, flood evolution and flooding of the selected region, so that the accuracy of the analysis result can be improved.

[0019] Optionally, the method further comprises:

[0020] The replay evaluation of the deduction result is performed to obtain an evaluation report.

[0021] By adopting the technical scheme, the replay evaluation of the deduction result can be performed to count the data of the key moment or result in the deduction process, enrich the flood disaster defense experience of the deducer and the decision maker, and further improve the defense level.

[0022] In a second aspect, the application provides a flood disaster defense deduction system, which adopts the following technical scheme:

[0023] A flood disaster defense deduction system comprises:

[0024] An acquisition module is configured to acquire basic geographic data and scenario editing data of a target region.

[0025] A model analysis module is configured to preset a disaster analysis model, and perform data analysis on the basic geographic data and the scenario editing data according to the disaster analysis model to obtain a model analysis result.

[0026] A judgment module is configured to determine whether rescue and relief is needed for the target region according to the model analysis result, and if so, generate a rescue and relief plan according to the model analysis result, and perform rescue and relief deduction for the target region according to the rescue and relief plan.

[0027] A dynamic simulation module is configured to perform dynamic virtual simulation of the rescue and relief deduction to obtain a deduction result, and analyze the deduction result to obtain a deduction result analysis report.

[0028] By adopting the technical scheme, the acquisition module acquires the basic geographic data and the scenario editing data of the selected region, the model analysis module presets the disaster analysis model, and performs data analysis on the basic geographic data and the scenario editing data according to the disaster analysis model to obtain an analysis result, the judgment module determines whether rescue and relief is needed for the selected region, and if so, generates a rescue and relief plan according to the model analysis result, and performs rescue and relief deduction for the selected region according to the rescue and relief plan, and the dynamic simulation module performs dynamic virtual simulation of the rescue and relief deduction to obtain a deduction result, and analyzes the deduction result to obtain a deduction result analysis report; thus, the whole process of flood disaster defense can be intuitively displayed, the disaster response experience can be gradually enriched, the disaster response level can be further improved, and the prevention and control effect of the flood disaster can be improved.

[0029] Optionally, the method further comprises:

[0030] The replay evaluation module is configured to replay and evaluate the deduction result to obtain an evaluation report.

[0031] By adopting the technical solution, the replay evaluation module is configured to replay and evaluate the deduction result, so that the data of key moments or results in the deduction process can be counted, the experience of the deducer and the decision maker in flood disaster prevention is enriched, and the prevention level is further improved.

[0032] In a third aspect, the present application provides a terminal, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein when the processor loads the computer program, the method of the first aspect is executed.

[0033] By adopting the technical solution, the computer program is generated according to the method of the first aspect and stored in the memory to be loaded and executed by the processor, so that the terminal is made according to the memory and the processor, and convenient use is achieved.

[0034] In a fourth aspect, the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and when the processor loads the computer program, the method of the first aspect is executed.

[0035] By adopting the technical solution, the computer program is generated according to the method of the first aspect and stored in the computer readable storage medium to be loaded and executed by the processor, and the computer readable storage medium is convenient for reading and storing the computer program. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 is the method flow of the flood disaster prevention deduction method of the present application Figure 1 ;

[0037] Figure 2 is the method flow of the flood disaster prevention deduction method of the present application Figure 2 ;

[0038] Figure 3 is the method flow of the flood disaster prevention deduction method of the present application Figure 3 ;

[0039] Figure 4 is the module block diagram of the flood disaster prevention deduction system of the present application

[0040] Figure 5 is the interface diagram of the rescue deduction of the flood disaster prevention deduction system of the present application

[0041] Figure 6 is the interface diagram of the flood simulation result of the flood disaster prevention deduction system of the present application

[0042] Figure 7 is an interface diagram of a flood inundation area of a flood disaster defense deduction system of the present application;

[0043] Figure 8 is an interface diagram of a rescue plan of a flood disaster defense deduction system of the present application;

[0044] Figure 9 is an interface diagram of a three-dimensional simulation display of a flood disaster defense deduction system of the present application;

[0045] Figure 10 is an interface diagram of a review and evaluation of a flood disaster defense deduction system of the present application. Embodiments

[0046] The following will be described in detail below with reference to the accompanying drawings. Figure 1 - the accompanying drawings Figure 10 , the present application will be further described in detail.

[0047] Flood disaster defense deduction is to edit a typical storm flood process or a hypothetical storm process, to dynamically analyze the water level change process, flood peak evolution and inundation of selected river and reservoir in a selected area based on professional models such as distributed flood forecasting, hydrodynamics analysis and disaster risk analysis, in combination with the topography, landform and socio-economic status of the selected area, to carry out flood disaster defense measures such as personnel transfer and rescue and disaster relief through artificial participation, to carry out flood disaster defense rapid deduction and obtain multiple results, and to demonstrate and verify the results through two-dimensional and three-dimensional simulation systems, to finally assist decision makers and users to familiarize with the whole process of flood disaster defense operation, to gradually enrich disaster response experience, and to further improve the disaster response level.

[0048] Academic terms involved in the present application are explained as follows:

[0049] Runoff: refers to the process of net rainfall formed by deducting rainfall loss. Rainfall loss includes plant interception, infiltration, filling and evaporation, among which infiltration is the main one.

[0050] Runoff water: refers to the part of water formed by runoff, measured in mm.

[0051] Concentration: refers to the concentration process of runoff water in a certain range.

[0052] Underlying surface: refers to the interface between atmosphere and its lower boundary of solid ground or liquid water surface, which is the main heat source and water vapor source of atmosphere, and is also the boundary surface of low-level atmospheric movement.

[0053] Sub-basin: refers to a region in which rainfall and underlying surface characteristics are relatively uniform in spatial distribution.

[0054] A flood disaster defense deduction method, with reference to Figures 1-3The method specifically comprises the following steps:

[0055] S1: Obtain basic geographic data and scenario editing data of a target region.

[0056] Specifically, in an embodiment of the present application, the basic geographic data comprises high-precision image information, high-precision digital elevation information, soil and vegetation information, water conservancy infrastructure basic information, historical rainfall information, historical flood disaster information and social and economic information of the target region; wherein the high-precision image information, high-precision digital elevation information, soil and vegetation information and water conservancy infrastructure basic information are collected by 3S technology; the historical rainfall information, historical flood disaster information and social and economic information are collected and sorted by historical data; the target region in the embodiment is the selected region.

[0057] More specifically, in an embodiment of the present application, the high-precision image information comprises underlying surface topography, land use and residential land conditions.

[0058] Specifically, in an embodiment of the present application, the scenario editing data comprises historical flood information and self-defined extreme rainfall process information; wherein the historical flood information comprises the start time and end time of the selected typical storm flood and the like; the self-defined extreme rainfall process information comprises the deduction start time, deduction end time, previous rainfall, previous river water condition, previous reservoir water condition, previous work condition, rainfall process in the deduction period, storm center movement process, deduction target and deduction end condition and the like.

[0059] In an embodiment of the present application, after obtaining the basic geographic data and scenario editing data of the selected region, the basic rules for assisting the deduction process also need to be obtained.

[0060] Specifically, the deduction designer completes the rule setting for the flood disaster prevention warning object, participating personnel and related materials according to the flood disaster prevention work standard and the actual situation in the process of carrying out the prevention work, including the basic rule setting of the warning rule, the movement rule, the communication rule, the intelligence (information) rule and the decision rule.

[0061] Thus, the initial scene of the present deduction is automatically created according to the selected region, the basic geographic data, the scenario editing data and the basic rules, and enters the deduction countdown state, and the related participating personnel enters the simulation deduction standby state, waiting for receiving the deduction instruction.

[0062] S2: Preset a disaster analysis model, and perform data analysis on the basic geographic data and the scenario editing data according to the disaster analysis model to obtain a model analysis result.

[0063] Specifically, in one embodiment of this application, the preset disaster analysis model includes a hydrological model and a hydrodynamic model, etc. The collected basic geographic data and the collected and organized scenario editing data are input into the hydrological model and / or the hydrodynamic model. The hydrological model and / or the hydrodynamic model perform distributed flood forecasting, hydrodynamic analysis, disaster risk analysis, and simulate flood and disaster data such as river water conditions, reservoir water conditions, flood disaster conditions, and inundation range on the basic geographic data and scenario editing data of the selected area. Finally, the water level change, flood evolution and inundation conditions of the selected area are obtained.

[0064] More specifically, in one embodiment of this application, the runoff volume is calculated using a hydrological model based on basic geographic data and hypothetical edited data, and the runoff is calculated using slope flow theory or empirical formulas, ultimately outputting the flow rate change over time at the outlet of the watershed or sub-watershed.

[0065] One method involves using GIS software to divide a watershed into multiple sub-watersheds. This sub-watershed division improves the accuracy of flood-prone sub-watershed predictions at outlet sections when establishing minimum critical rainfall levels. When dividing sub-watersheds, the area of ​​a single sub-watershed in hilly terrain should be greater than 10 square kilometers and less than 50 square kilometers, while the area of ​​a single sub-watershed in mountainous terrain should be greater than 50 square kilometers. Sub-watershed divisions should be separate for watersheds flowing into different rivers to ensure accurate calculation of rainfall inflows within each sub-watershed.

[0066] Specifically, in one embodiment of this application, the preceding rainfall (previous rainfall situation) within a single sub-basin is calculated, and the formula for calculating the preceding rainfall Pa is:

[0067] Pa[t+1]=Ka*(Pa[t]+P[t]), and Pa[t+1]≤Wm;

[0068] Where Pa[t] is the rainfall at the beginning of day t, in mm; Pa[t+1] is the rainfall at the beginning of day t+1, in mm; P[t] is the measured rainfall of the sub-basin on day t, in mm; and Ka is the daily receding coefficient of the sub-basin water storage, with an average value taken for each month.

[0069] The formula for calculating Ka is:

[0070] Ka = (1 - Em / Wm)

[0071] Where Em is the average daily evaporation capacity of the basin, and Wm is the maximum water storage capacity of the basin. When Pa[t+1] is greater than Wm, runoff occurs in the corresponding monitoring station area within the sub-basin. The previous rainfall Pa is calculated with 8:00 AM on the same day as the daily dividing point, and the Pa value at 8:00 AM is used for each forecast.

[0072] To improve the accuracy of hourly warnings, for forecasts not occurring at 8:00 AM, the preceding rainfall (Pa) needs to be corrected. Rainfall after 8:00 AM will be calculated in one-hour increments, using the following formula:

[0073] 24* Pa[x+1]= Ka* (Pa[x]+ P[x]), and Pa[x+1]≤Wm;

[0074] Where Pa[x] is the rainfall in advance starting at time x, in mm; Pa[x+1] is the rainfall in advance at time x+1, in mm; P[x] is the measured rainfall in the sub-basin at time x, in mm; and 24 is the unit conversion factor. For time x+1, which is the day dividing point at 8:00 AM, the step of correcting the rainfall Pa in advance should not be used. Correcting the rainfall Pa in advance can make the rainfall warning for each time period of the day more accurate, especially for cases where rainfall has occurred in the previous hour and there is still continuous rainfall in the following hour.

[0075] More specifically, in one embodiment of this application, initial and boundary conditions are set through a hydrodynamic model, and the initial and boundary conditions are determined by basic geographic data and scenario editing data. By constructing the Saint-Venant equations, which are mathematically first-order quasi-linear hyperbolic partial differential equations, and solving the Saint-Venant equations simultaneously to make them conform to the given initial and boundary conditions, the changes in flow velocity and water depth (or other dependent variables) of the non-constant flow with the flow rate and time can be obtained, i.e., v=v(s,t) and h=h(s,t).

[0076] The Saint-Venant equations are as follows:

[0077]

[0078]

[0079] Where A is the cross-sectional area of ​​the water passage, in m². 2 Q represents the flow rate of the cross-section of the water passage, in cubic meters per second (m³). 3 / s, L is the distance along the river channel in meters, v is the average cross-sectional velocity in m / s, and g is the acceleration due to gravity in m / s². 2 S f The frictional resistance drop is calculated using Manning's formula and is usually expressed as Q. 2 / K 2 K is the flow modulus.

[0080] Specifically, in one embodiment of the present application, the process of river channel and floodplain evolution and the process of waterlogging caused by rainstorm are simulated by the constructed Saint-Venant equation set, the dynamic characteristics of the flood evolution in the flooded area are provided, that is, the spatiotemporal variation of the flooded area, the water depth and the flow velocity are obtained.

[0081] S3: determining whether the rescue and relief of the target area is needed according to the model analysis result, generating a rescue and relief plan according to the model analysis result if the rescue and relief of the target area is needed, and performing rescue and relief deduction of the target area according to the rescue and relief plan.

[0082] Specifically, in one embodiment of the present application, if the water depth continues to grow, the flow velocity continues to grow, and / or the spatiotemporal variation of the flooded area is faster, it indicates that the rescue and relief of the selected area is needed, a rescue and relief plan is made according to the model analysis result, and then the artificial interactive instruction analysis personnel transfer and the rescue and disaster relief are performed according to the made rescue and relief plan.

[0083] In one embodiment of the present application, the artificial interaction can realize that the participating personnel obtain and view the rain condition, the water condition, the work condition, the disaster condition and the social and economic information that meet their business rights and responsibilities at the current deduction time, realize that the participating personnel issue various disaster prevention instructions, and view the instruction execution and feedback.

[0084] S4: performing dynamic virtual simulation of the rescue and relief deduction to obtain deduction results, and analyzing the deduction results to obtain a deduction result analysis report.

[0085] Specifically, in one embodiment of the present application, the model analysis of the selected area and the rescue and relief deduction process are two-dimensionally or three-dimensionally simulated, the deduction simulation scene is automatically generated, the current deduction status is intuitively displayed, the actual operation of the deduction participating personnel is facilitated, the deduction results are obtained according to the rescue and relief deduction, and the deduction result analysis report is generated according to the deduction results for real-time viewing by the relevant participating personnel.

[0086] The present application can provide two-dimensional and three-dimensional simulation and demonstration as well as standardized chart display, which on the one hand supports the defense status of the deduction area to be more realistically displayed to the deduction participating personnel, and on the other hand provides the deduction participating personnel with a similar real chart report (for example, a mountain flood disaster flash report can be automatically generated), so as to realize the goal of training instead of fighting.

[0087] The method of the present application further includes the following steps:

[0088] S5: reviewing and evaluating the deduction results to obtain an evaluation report.

[0089] Specifically, in an embodiment of the present application, the review evaluation is a review of the deduction, and on the basis of the review, the evaluation can be performed according to the specified indicators and specific requirements to facilitate the discovery of problems and the summary of experience.

[0090] Specifically, in an embodiment of the present application, the review evaluation includes re-calling the deduction results of the deduction that has been completed, playing back according to various records in the deduction process, and presenting the process of each playback to facilitate the deduction to review the deduction process and summarize experience.

[0091] Among them, the data of the key moments or results in the deduction process are statistically generated digital pictures, tables or other files to complete the preliminary evaluation report through intuitive data filtering, enrich the experience of flood disaster prevention of the deducer and the decision maker, and further improve the defense level.

[0092] The implementation principle of the embodiment of the present application is: high-precision image information, high-precision digital elevation information, soil and vegetation information and water conservancy engineering basic information of the selected area are collected through 3S technology, historical rainfall information, historical flood disaster information and social and economic information are collected, historical flood information and extreme rainfall process information are edited, the above information is analyzed by a preset disaster analysis model, a model analysis result is obtained, then, whether the selected area needs to be rescued is determined according to the model analysis result, if yes, a rescue plan is automatically generated according to the model analysis result, the selected area is rescued according to the generated rescue plan, the rescue deduction is simulated in two dimensions and three dimensions, a deduction result is obtained, the deduction result is analyzed, a deduction result analysis report is obtained, and relevant personnel can check and refer to the report.

[0093] A flood disaster prevention deduction system, the operation of the system applies the method of the above embodiment, the system mainly includes an acquisition module, a model analysis module, a judgment module, a dynamic simulation module and a review evaluation module; wherein the acquisition module is used to acquire the basic geographic data and the scenario editing data of the target area; the model analysis module is used to preset a disaster analysis model, and perform data analysis on the basic geographic data and the scenario editing data according to the disaster analysis model to obtain a model analysis result; the judgment module is used to determine whether the target area needs to be rescued according to the model analysis result, if yes, a rescue plan is generated according to the model analysis result, and the target area is rescued according to the rescue plan; the dynamic simulation module is used to dynamically simulate the rescue deduction to obtain a deduction result, analyze the deduction result, and obtain a deduction result analysis report; the review evaluation module is used to review the deduction result to obtain an evaluation report.

[0094] Specifically, in one embodiment of the present application, the acquisition module is mainly responsible for deriving settings and rule settings, such as deriving background settings, rainfall process settings, and participant and material settings, and rule settings such as task editing and rule editing.

[0095] The deriving setting function needs to realize the functions of deriving background settings, rainfall process settings, and participant and material settings. The function is the initial process of the derivation process, and the derivation start and end time, the previous rainfall, the previous river water regime, the previous reservoir water regime, the previous work condition, the rainfall process in the derivation period, the storm center movement process, the flood process, the inundation range, the disaster degree, the derivation target, and the derivation end condition are all set in this function. After the setting is completed, the derivation basic data and the derivation number are automatically generated and stored in the derivation database.

[0096] The rule setting function needs to complete the task editing and rule editing functions. The task editing function clearly defines the task content, responsibility range of each participant in the derivation, and the business relationship between the participants according to the standard of flood control work. The rule editing function needs to support the setting of basic rules such as the movement rules, communication rules, information rules, and decision rules for the participants.

[0097] Specifically, in one embodiment of the present application, the model analysis module and the judgment module are mainly responsible for defense derivation, such as artificial interaction, model analysis, derivation control, and achievement archiving.

[0098] Referring to Figure 5 Through the artificial interaction function, the participants can obtain and view the rainfall, water regime, work condition, disaster condition, and socio-economic information that meet their business rights and responsibilities at the current derivation time. The participants can also issue various disaster prevention instructions and view the instruction execution and feedback.

[0099] The model analysis is based on the derivation progress and the artificial interaction, and refers to Figure 6 On the one hand, it analyzes and calculates the current river water regime and the current reservoir rainfall capacity, and analyzes the flood evolution combined with the reservoir and sluice scheduling. Referring to Figure 7 On the other hand, it analyzes the disaster situation such as flood inundation range and inundation water depth combined with high-precision elevation data. Referring to 8, on the other hand, combined with the artificial interaction, it analyzes the personnel transfer, disaster relief team, and material application status. The model analysis result is provided to the participants for viewing by using the situation display function.

[0100] The derivation control function realizes the control functions of derivation time step, derivation progress, temporary event editing (such as dam breach, bridge washout, landslide, etc., which can edit the event occurrence time, severity, and impact range), and special event processing to ensure the smooth completion of the derivation.

[0101] The achievement archiving function archives the database of the whole process of the current deduction, and the archived content includes but is not limited to deduction basis information, deduction background information, participant operation information and deduction process data, and the data types include but are not limited to text, pictures, videos and special achievements.

[0102] Specifically, referring to Figure 9 In an embodiment of the present application, the dynamic simulation module is mainly responsible for situation display, such as two-dimensional, three-dimensional GIS platform and standardized chart display.

[0103] The situation display function provides two-dimensional, three-dimensional simulation display and standardized chart display, which on the one hand supports the defense status of the deduction area to be more realistic to the deduction participants, and on the other hand provides the deduction participants with a similar real map report (for example, a mountain flood disaster report can be automatically generated), so as to realize the purpose of training instead of fighting.

[0104] Specifically, referring to Figure 10 In an embodiment of the present application, the review and evaluation is mainly responsible for deduction playback and analysis and evaluation.

[0105] The review and evaluation function is a function of reviewing and evaluating the deduction during the deduction process or after the deduction is completed, and on the basis of the review, the evaluation can be carried out according to the specified index and specific demand, so as to find out the problems and summarize the experience.

[0106] The present application can also set the system, such as user and permission management, basic data management, etc.

[0107] The system can manage the users by setting the administrator permission, and different users can be given different permissions, and the parameters such as user type, user permission and user quantity can be changed and set in the background. At the same time, the system provides the function of editing the basic data in the background.

[0108] The system of the present application supports the participants to carry out manual interactive operation, supports the deduction participants to view the weather, water regime and work regime under the current deduction time, supports to issue early warning information, transfer instruction and disaster relief instruction; the system completes the simulation analysis of the water regime change, flood evolution and inundation situation in the deduction process according to the background model support system, analyzes the personnel transfer situation and rescue situation according to the manual interactive instruction; the system provides two-dimensional and three-dimensional simulation function, realizes the intuitive display of the deduction status, and is beneficial to the actual operation of the deduction participants.

[0109] The system database design of the application adopts a data-oriented database design method, which takes information resource storage as the goal, considers various application requirements, is based on disaster prevention deduction business, establishes stable data structure, and automatically adapts to possible variable application requirements in the later period.

[0110] The system database table structure design follows, on one hand, the existing business database table structure of, for example, real-time rainwater condition data, mountain torrent disaster investigation and analysis and evaluation data, mountain torrent disaster prevention data, and small and medium river forecast and early warning data; and, on the other hand, according to the business needs of the system, completes the database table structure design and database construction including deduction system basic data table, deduction rule data table, hydrological model library table, disaster analysis model library table, deduction process table, deduction result table, and review and evaluation table.

[0111] The embodiment of the application discloses a computer terminal, comprising a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein when the processor loads the computer program, the flood disaster prevention deduction method of the above-mentioned embodiment is executed.

[0112] The computer terminal can be a desktop computer, a notebook computer or a cloud server, and the server includes but is not limited to a processor and a memory, for example, the server can also include an input / output device, a network access device and a bus, etc.

[0113] The processor can be a central processing unit (CPU), of course, according to the actual use, other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), ready-to-program gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. can also be used, and the general-purpose processor can be a microprocessor or any conventional processor, etc. The application does not limit this.

[0114] The memory can be an internal storage unit of the terminal, for example, a hard disk or a memory of the terminal, or an external storage device of the server, for example, a plug-in hard disk, a smart memory card (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the terminal, and the memory can also be a combination of the internal storage unit and the external storage device of the terminal. The memory is used to store computer programs and other programs and data required by the server, and the memory can also be used to temporarily store data that has been output or will be output. The application does not limit this.

[0115] The flood disaster prevention deduction method of the above-mentioned embodiment is stored in the memory of the terminal through the terminal, and is loaded and executed on the processor of the terminal to facilitate use.

[0116] The embodiment of the present application discloses a computer readable storage medium, and the computer readable storage medium stores a computer program, wherein the computer program is loaded by a processor to execute the flood disaster defense deduction method of the above embodiment.

[0117] The computer program can be stored in the computer readable storage medium, and the computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms, etc., and the computer readable medium includes any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier wave signal, telecommunication signal and software distribution medium, etc., and it should be noted that the computer readable medium includes but is not limited to the above components.

[0118] The computer readable storage medium stores the flood disaster defense deduction method of the above embodiment, and is loaded and executed on the processor to facilitate the storage and application of the flood disaster defense deduction method.

[0119] The embodiments of the specific embodiment are the preferred embodiments of the present application, and are not limited to the protection scope of the present application, wherein the same parts are indicated by the same reference numerals. Therefore, equivalent changes made according to the structure, shape and principle of the present application should be covered in the protection scope of the present application.

Claims

1. A flood disaster prevention deduction method, characterized by, include: Acquire basic geographic data and scenario editing data for the target area; A disaster analysis model is preset, and data analysis is performed on the basic geographic data and the scenario editing data based on the disaster analysis model to obtain the model analysis results; Based on the model analysis results, it is determined whether emergency rescue is needed for the target area. If so, an emergency rescue plan is generated based on the model analysis results, and an emergency rescue simulation is conducted for the target area based on the emergency rescue plan. The emergency rescue scenario is dynamically simulated using virtual simulation to obtain the scenario results, and the scenario results are analyzed to obtain a scenario results analysis report; The preset disaster analysis model includes a hydrological model and a hydrodynamic model. The collected basic geographic data and the collected and edited scenario data are input into the hydrological model and / or hydrodynamic model. The hydrological model and / or hydrodynamic model are used to perform distributed flood forecasting, hydrodynamic analysis, and disaster risk analysis on the basic geographic data and scenario data of the target area. The model simulates river water conditions, reservoir water conditions, flood disasters, and inundation range, and finally obtains the water level changes, flood evolution, and inundation situation of the target area. Based on basic geographic data and hypothetical edited data, runoff volume is calculated using a hydrological model, and runoff calculation is performed using slope flow theory or empirical formulas. Finally, the flow rate at the outlet of the watershed or sub-watershed changes over time is output. Using GIS software to divide a watershed into multiple sub-watersheds can improve the accuracy of flood forecasting for sub-watersheds at outlet sections prone to flooding during the process of establishing minimum critical rainfall. When dividing sub-watersheds, the area of ​​a single sub-watershed in hilly terrain should be greater than 10 square kilometers and less than 50 square kilometers, while the area of ​​a single sub-watershed in deep mountain terrain should be greater than 50 square kilometers. Sub-watershed division should be separated between watersheds flowing into different rivers, so as to accurately calculate the rainfall of the rivers flowing into the sub-watersheds. The formula for calculating the anterior rainfall (Pa) within a single sub-basin is as follows: Pa[t+1]=Ka*(Pa[t]+P[t]), and Pa[t+1]≤Wm; Where Pa[t] is the rainfall at the beginning of day t, in mm; Pa[t+1] is the rainfall at the beginning of day t+1, in mm; P[t] is the measured rainfall of the sub-basin on day t, in mm; and Ka is the daily receding coefficient of the sub-basin water storage, with an average value taken for each month. The formula for calculating Ka is: Ka = (1 - Em / Wm) Where Em is the average daily evaporation capacity of the basin, Wm is the maximum water storage of the basin. When Pa[t+1] is greater than Wm, runoff is generated in the corresponding station area within the sub-basin. The previous rainfall Pa is divided by the day at 8:00 AM on the same day. The Pa value at 8:00 AM is used for each forecast. To improve the accuracy of hourly warnings, for forecasts not occurring at 8:00 AM, the preceding rainfall (Pa) needs to be corrected. Rainfall after 8:00 AM will be calculated in one-hour increments, using the following formula: 24* Pa[x+1]= Ka* (Pa[x]+ P[x]), and Pa[x+1]≤Wm; Where Pa[x] is the rainfall in advance starting at time x, in mm; Pa[x+1] is the rainfall in advance at time x+1, in mm; P[x] is the measured rainfall in the sub-basin at time x, in mm; and 24 is the unit conversion factor. For time x+1, which is the day dividing point at 8:00 AM, the step of correcting the rainfall Pa should not be used. Correcting the rainfall Pa can make the rainfall warning for each time period of the day more accurate, especially for cases where rainfall has occurred in the previous hour and there is still continuous rainfall in the following hour. After obtaining the basic geographic data and the scenario editing data of the target area, it is also necessary to obtain the basic rules used to assist the simulation process.

2. The flood disaster prevention inference method according to claim 1, characterized by, Based on the target area, the basic geographic data, the scenario editing data, and the basic rules, the initial scenario for the simulation is automatically created and enters the simulation countdown state. Relevant participants enter the simulation standby state and wait to receive simulation instructions.

3. The flood disaster prevention inference method according to claim 1, characterized by, Also includes: The simulation results were reviewed and evaluated to obtain an evaluation report.

4. A flood disaster prevention deduction system characterized by, The flood disaster prevention simulation method adopted according to any one of claims 1-3 includes: The acquisition module is used to acquire basic geographic data and scenario editing data for the target area; The model analysis module is used to preset a disaster analysis model and perform data analysis on the basic geographic data and the scenario editing data based on the disaster analysis model to obtain the model analysis results; The judgment module is used to determine whether emergency rescue is needed for the target area based on the model analysis results. If so, it generates an emergency rescue plan based on the model analysis results and conducts an emergency rescue simulation for the target area based on the emergency rescue plan. The dynamic simulation module is used to perform dynamic virtual simulation of the emergency rescue exercise, obtain the exercise results, and analyze the exercise results to obtain an exercise result analysis report.

5. The flood disaster prevention deduction system according to claim 4, characterized by, Also includes: The debriefing and evaluation module is used to debrief and evaluate the results of the simulation and obtain an evaluation report.

6. A terminal comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that, When the processor loads a computer program, it executes the method according to any one of claims 1-3.

7. A computer-readable storage medium having stored therein a computer program, characterized in that, When the computer program is loaded by the processor, it executes the method of any one of claims 1-3.

Images