CN116186973A - Flood disaster defense deduction method, system, terminal and storage medium - Google Patents
Flood disaster defense deduction method, system, terminal and storage medium Download PDFInfo
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Abstract
The application relates to a flood disaster prevention deduction method, a system, a terminal and a storage medium, and relates to the technical field of flood disaster deduction, wherein the method comprises the following steps: acquiring basic geographic data and wanted editing data of a target area; presetting a disaster analysis model, and carrying out data analysis on the basic geographic data and the wanted edit data according to the disaster analysis model to obtain a model analysis result; judging whether the target area needs to be subjected to rescue according to the model analysis result, if so, generating a rescue plan according to the model analysis result, and carrying out rescue deduction on the target area according to the rescue plan; and carrying out dynamic virtual simulation on the rescue deduction to obtain a deduction result, and analyzing the deduction result to obtain a deduction result analysis report. The application has the effect of improving the control of flood disasters.
Description
Technical Field
The present disclosure relates to the technical field of flood disaster deduction, and in particular, to a flood disaster defense deduction method, system, terminal and storage medium.
Background
Flood disasters are one of natural disasters mainly experienced since ancient times, and can destroy buildings, crops and pollute the environment in a large scale. How to reduce the loss caused by flood disasters is a popular research direction.
At present, flood disaster prevention and control mainly comprises the steps of predicting the arrival of flood disasters through meteorological information monitoring and pertinently providing prevention and control measures, and the mode mainly has the following problems: the lack of predictive evaluation on the development trend of flood disasters can not simulate the rescue process, so that the practicality of prevention measures is poor. Therefore, the defect of unsatisfactory control effect on flood disasters exists.
Disclosure of Invention
The purpose of the application is to provide a flood disaster defending method, a flood disaster defending system, a flood disaster defending terminal and a flood disaster defending storage medium, so as to solve the technical problems.
In a first aspect, the present application provides a flood disaster prevention deduction method, which adopts the following technical scheme:
a flood disaster prevention deduction method, comprising:
acquiring basic geographic data and wanted editing data of a target area;
presetting a disaster analysis model, and carrying out data analysis on the basic geographic data and the wanted edit data according to the disaster analysis model to obtain a model analysis result;
judging whether the target area needs to be subjected to rescue according to the model analysis result, if so, generating a rescue plan according to the model analysis result, and carrying out rescue deduction on the target area according to the rescue plan;
and carrying out dynamic virtual simulation on the rescue deduction to obtain a deduction result, and analyzing the deduction result to obtain a deduction result analysis report.
By adopting the technical scheme, basic geographic data and wanted edit data of a selected area are obtained, data analysis is carried out on the basic geographic data and wanted edit data according to a preset disaster analysis model to obtain a model analysis result, whether rescue needs to be carried out on the selected area or not is judged according to the model analysis result, if so, an rescue plan is generated, rescue deduction is carried out on the selected area according to the rescue plan, dynamic virtual simulation is carried out on the rescue deduction to obtain a deduction result, and the deduction result analysis report is obtained; and furthermore, the whole process operation of flood disaster defense can be intuitively displayed, the disaster coping experience is gradually enriched, and the disaster coping level is further improved, so that the prevention and treatment effect on the flood disasters can be improved.
Optionally, after the basic geographic data and the desired edit data of the target area are acquired, basic rules for assisting the deduction process need to be acquired.
By adopting the technical scheme, the task content and the responsibility range in the deduction process can be clearly determined by acquiring the basic rule.
Optionally, according to the target area, the basic geographic data, the wanted edit data and the basic rule, automatically creating a deducted initial scene, entering a deduction countdown state, and enabling related participators to enter a simulated deduction standby state and waiting for receiving a deduction instruction.
By adopting the technical scheme, according to the set target area, the basic geographic data, the wanted edit data and the basic rules, the deduction initial scene can be automatically created, the deduction countdown state is entered, the related participators enter the simulated deduction standby state and wait for receiving the deduction instruction, so that the deduction preparation can be better made.
Optionally, the disaster analysis model is preset, and data analysis is performed on the basic geographic data and the desired edit data according to the disaster analysis model to obtain a model analysis result, which specifically includes:
and carrying out distributed flood forecast, hydrodynamic analysis and disaster risk analysis on the basic geographic data and the desired edit data according to the disaster analysis model so as to simulate river channel water conditions, reservoir water conditions, flood disaster conditions and flood and disaster condition data in a submerged range and obtain the water level change condition, flood evolution condition and submerged condition of the target area.
By adopting the technical scheme, the data analysis is carried out on the basic geographic data and the data which is wanted to be edited, so that river channel water conditions, reservoir water conditions, flood disaster conditions, flood and disaster condition data in a submerged range can be simulated, and then the water level change condition, flood evolution condition and submerged condition of a selected area can be obtained, and the accuracy of analysis results can be improved.
Optionally, the method further comprises:
and carrying out repeated evaluation on the deduction result to obtain an evaluation report.
By adopting the technical scheme, by carrying out multi-disc evaluation on the deduction result, the key time or the data of the result in the deduction process can be counted, flood disaster defending experience of the deductors and the decision maker is enriched, and the defending level is further improved.
In a second aspect, the present application provides a flood disaster prevention deduction system, which adopts the following technical scheme:
a flood disaster prevention deduction system comprising:
the acquisition module is used for acquiring basic geographic data and wanted editing data of the target area;
the model analysis module is used for presetting a disaster analysis model, and carrying out data analysis on the basic geographic data and the wanted edit data according to the disaster analysis model to obtain a model analysis result;
the judging module is used for judging whether the target area needs to be subjected to rescue according to the model analysis result, if so, generating a rescue plan according to the model analysis result, and carrying out rescue deduction on the target area according to the rescue plan;
the dynamic simulation module is used for carrying out dynamic virtual simulation on the rescue deduction to obtain a deduction result, and analyzing the deduction result to obtain a deduction result analysis report.
By adopting the technical scheme, basic geographic data and wanted editing data of a selected area are acquired through the acquisition module, a disaster analysis model is preset through the model analysis module, the basic geographic data and wanted editing data are subjected to data analysis according to the disaster analysis model to obtain analysis results, whether the selected area needs to be subjected to rescue is judged through the judgment module, if so, an rescue plan is generated according to the model analysis results, rescue deduction is carried out on the selected area according to the rescue plan, dynamic virtual simulation is carried out on the rescue deduction through the dynamic simulation module to obtain deduction results, and the deduction results are analyzed to obtain deduction result analysis reports; and furthermore, the whole process operation of flood disaster defense can be intuitively displayed, the disaster coping experience is gradually enriched, and the disaster coping level is further improved, so that the prevention and treatment effect on the flood disasters can be improved.
Optionally, the method further comprises:
and the multiple disc evaluation module is used for carrying out multiple disc evaluation on the deduction result to obtain an evaluation report.
By adopting the technical scheme, the deduction result is subjected to the multiple-disc evaluation through the multiple-disc evaluation module, so that the key time or the result data in the deduction process can be counted, flood disaster defending experience of the deductors and the decision maker is enriched, and the defending level is further improved.
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, the processor performing the method of the first aspect when the computer program is loaded.
By adopting the technical scheme, 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 manufactured according to the memory and the processor, and the terminal is convenient to use.
In a fourth aspect, the present application provides a computer readable storage medium having stored therein a computer program which, when loaded by a processor, performs the method of the first aspect.
By adopting the technical scheme, the method according to the first aspect generates the computer program, stores the computer program in the computer readable storage medium, is loaded and executed by the processor, and facilitates the reading and storage of the computer program through the computer readable storage medium.
Drawings
FIG. 1 is a method flow diagram I of a flood disaster prevention deduction method of the present application;
FIG. 2 is a method flow chart II of the flood disaster prevention deduction method of the present application;
FIG. 3 is a method flow chart III of the flood disaster prevention deduction method of the present application;
FIG. 4 is a block diagram of a flood disaster prevention deduction system of the present application;
fig. 5 is an interface diagram of rescue deduction of the flood disaster prevention deduction system of the present application;
FIG. 6 is an interface diagram of flood simulation results of the flood disaster prevention deduction system of the present application;
FIG. 7 is an interface diagram of the flood flooding scope of the flood disaster prevention deduction system of the present application;
FIG. 8 is an interface diagram of an rescue plan of the flood disaster prevention deduction system of the present application;
fig. 9 is an interface diagram of a three-dimensional simulation presentation of the flood disaster prevention deduction system of the present application;
fig. 10 is an interface diagram of a multiple disk evaluation of the flood disaster prevention deduction system of the present application.
Description of the embodiments
The present application is described in further detail below with reference to fig. 1-10.
The flood disaster defense deduction is to perform fixed editing on a typical storm flood process or a supposed storm process, based on professional models such as distributed flood forecast, hydrodynamic analysis, disaster risk analysis and the like, dynamically analyze the water level change process, flood peak evolution and flooding conditions of a selected area river channel by combining with the topography, the relief and the socioeconomic status of the selected area, and perform flood disaster defense measures such as personnel transfer refuge, rescue and relief and the like by manually participating in flood disaster defense measures, rapidly deduct flood disaster defense and obtain various results, and finally assist decision makers and users in performing demonstration and verification through a two-dimensional and three-dimensional simulation system, so that the full process operation of flood disaster defense is gradually enriched, the disaster coping experience is further improved, and the disaster coping level is further improved.
Academic noun interpretation referred to in this application:
and (3) producing: refers to the process of subtracting the loss of rainfall to form net rain. Rainfall losses include plant interception, infiltration, depression filling and evaporation, with infiltration being the dominant.
Flow rate yield: refers to the amount of water in mm that rainfall forms a runoff.
Confluence of: refers to a concentrated process in which the water production is within a certain range.
And (3) a lower pad surface: the interface between the atmosphere and the solid ground or liquid water surface at the lower boundary is the main heat source and water vapor source of the atmosphere and is also the boundary surface of the movement of the lower atmosphere.
Sub-watershed: it means that the rainfall and the underlying surface features are arranged in the same region in a region with uniform spatial distribution.
Referring to fig. 1-3, the flood disaster prevention deduction method specifically comprises the following steps:
s1: and acquiring basic geographic data and wanted edit data of the target area.
Specifically, in one embodiment of the present application, the basic geographic data includes high-precision image information, high-precision digital elevation information, soil vegetation information, hydraulic engineering basic information, historical rainwater condition information, historical flood disaster condition information and socioeconomic information of the target area; the high-precision image information, the high-precision digital elevation information, the soil vegetation information and the hydraulic engineering basic information are acquired by a 3S technology; the historical rainwater condition information, the historical flood disaster condition information and the socioeconomic information are obtained through historical data collection and arrangement; the target area in this embodiment is the selected area.
More specifically, in one embodiment of the present application, the high-precision image information includes the topography of the underlying surface, land use conditions, and residential land conditions.
Specifically, in one embodiment of the present application, the intended edit data includes historical flood information and custom extreme rainfall process information; wherein the historical flood information comprises a start time, an end time and the like of a selected typical storm flood; the self-defined extreme rainfall process information comprises deduction starting time, deduction ending time, early rain condition, early river water condition, early reservoir water condition, early work condition, rainfall process in deduction period, heavy rain center moving process, deduction target, deduction ending condition and the like.
In one embodiment of the present application, after obtaining the basic geographic data and the desired edit data of the selected area, a basic rule for assisting the deduction process is also required to be obtained.
Specifically, deduction designer completes rule setting for flood disaster defense early warning objects, participators and related materials according to flood disaster defense working standard and actual conditions in the defense working developing process, and basic rule setting including early warning rules, movement rules, communication rules, intelligence (information) rules, decision rules and the like.
Therefore, the initial scene of the deduction is automatically created according to the selected area, the basic geographic data, the wanted edit data and the basic rules, the deduction countdown state is entered, and related participators enter the simulated deduction standby state and wait for receiving the deduction instruction.
S2: presetting a disaster analysis model, and carrying out data analysis on basic geographic data and wanted edit data according to the disaster analysis model to obtain a model analysis result.
Specifically, in one embodiment of the present application, the preset disaster analysis model includes a hydrological model, a hydrodynamic model, and the like, the collected basic geographic data and the collected and consolidated desired edit data are input into the hydrological model and/or the hydrodynamic model, and distributed flood forecast, hydrodynamic analysis, disaster risk analysis, and simulation of river channel water conditions, reservoir water conditions, flood disasters, flooding ranges, and other flood and disaster data are performed on the basic geographic data and the desired edit data of the selected area through the hydrological model and/or the hydrodynamic model, so as to finally obtain the water level change condition, the flood evolution condition, and the flooding condition of the selected area.
More specifically, in one embodiment of the present application, the flow rate is calculated through a hydrological model according to the basic geographic data and the desired edit data, the confluence calculation is performed through a slope flow theory or an empirical formula method, and the time-varying process of the flow rate at the outlet of the drainage basin or the sub-drainage basin is finally output.
The method comprises the steps of dividing one drainage basin into a plurality of sub-drainage basins by GIS software, wherein the accuracy of predicting the sub-drainage basins of an outlet section which is easy to generate flood disasters can be improved in the process of establishing the minimum critical surface rainfall by dividing the sub-drainage basins. When dividing the sub-river basin, the area of a single sub-river basin of the hilly terrain is more than 10 square kilometers and less than 50 square kilometers, and the area of a single sub-river basin of the deep mountain terrain is more than 50 square kilometers; the sub-river basin division among the river basins flowing into different rivers should be separated, so that the rainfall of the river flowing into the sub-river basin is accurately calculated.
Specifically, in one embodiment of the present application, the early-stage rainfall (early-stage rain condition) in the single sub-stream domain is calculated, and the calculation formula of the early-stage rainfall Pa is:
pa [ t+1] =Ka (Pa [ t ] +Pt ]), and Pa [ t+1 ]. Ltoreq.Wm;
wherein Pa [ t ] is the front rainfall at the beginning of the t day, the unit is mm, pa [ t+1] is the front rainfall at the beginning of the t+1 day, the unit is mm, pt is the actual measured rainfall of the sub-basin on the t day, the unit is mm, ka is the daily fading coefficient of the water storage of the sub-basin, and an average value is taken every month.
The calculation formula of Ka is:
Ka=（1-Em/Wm）
em is the average daily evaporation capacity of the river basin, wm is the maximum water storage capacity of the river basin, and when Pa [ t+1] is greater than Wm, the station measuring area corresponding to the sub-flow area forms a production flow. The early rainfall Pa uses the day separation point as the Pa value at 8 am every time the day is predicted.
In order to improve the accuracy of early warning per hour, for a forecasting scheme in which the forecasting time is not 8 hours, the early rainfall Pa needs to be corrected, and the rainfall after 8 hours is calculated in 1 hour, wherein the calculation formula is as follows:
24 Pa [ x+1] =ka (Pa [ x ] +p [ x ]), and Pa [ x+1 ]. Ltoreq.wm;
wherein Pa [ x ] is the front-stage rainfall at the beginning of the x-th moment, the unit is mm, pa [ x+1] is the front-stage rainfall at the x+1-th moment, the unit is mm, px is the actually measured rainfall of the sub-basin at the x-th moment, the unit is mm, and 24 is a unit conversion coefficient; for the calculated x+1th moment being 8 am of the day separation point, the step of correcting the early rainfall Pa should not be adopted; the early-stage rainfall Pa is corrected, so that early warning of the rainfall in each time period on the day can be more accurate, and particularly, the situation that rainfall occurs in the previous hour and continuous rainfall still exists in the next hour can be avoided.
More specifically, in one embodiment of the present application, initial conditions and boundary conditions are set by a hydrodynamic model, and the initial conditions and boundary conditions are determined by basic geographic data and intended edit data, and by constructing a san-velan equation set, which mathematically belongs to a first-order quasi-linear hyperbolic partial differential equation set, and combining Jie Shengwei an equation set and conforming it to the given initial conditions and boundary conditions, the flow rate and water depth (or other dependent variables) of a non-constant water flow can be obtained as a function of flow and time, i.e., v=v (s, t) and h=h (s, t).
Wherein, the san Vinan equation set is:
wherein A is the cross-sectional area of water, and the unit is m 2 Q is the flow of the water flow section, and the unit is m 3 The distance between the two layers is expressed as m, v is the average flow velocity of the section, m/s, g is the gravitational acceleration, and m/s 2 ，S f For friction resistance reduction, calculated by Manning formula, generally denoted as Q 2 /K 2 K is the flow modulus.
Specifically, in one embodiment of the application, the dynamic characteristics of flood evolution in a submerged area are provided by calculating the evolution process of simulated water flow in river channels, flood lands and flood waterlogging processes formed by heavy rain through the constructed san-View equation group, namely, the time-space change, the water depth and the flow velocity of a submerged range are obtained, and the time-space change of the submerged range is the change of the water depth and the flow velocity in time and space.
S3: judging whether the target area needs to be subjected to rescue according to the model analysis result, if so, generating a rescue plan according to the model analysis result, and carrying out rescue deduction on the target area according to the rescue plan.
Specifically, in one embodiment of the present application, if the water depth is continuously increased, the flow rate is continuously increased, and/or the space-time variation of the submerged range is faster, it indicates that the selected area needs to be rescue, and a rescue plan is formulated according to the model analysis result, and then personnel transfer conditions and rescue conditions are analyzed by adopting manual interaction instructions according to the formulated rescue plan.
In one embodiment of the application, the personnel can acquire and check the rain condition, water condition, work condition, disaster condition and socioeconomic information which accord with the business rights of the personnel under the current deduction time through manual interaction, so that the personnel can issue various disaster defending instructions, and the instruction execution and feedback conditions can be checked.
S4: and carrying out dynamic virtual simulation on the rescue deduction to obtain a deduction result, and analyzing the deduction result to obtain a deduction result analysis report.
Specifically, in one embodiment of the application, two-dimensional and three-dimensional dynamic simulation is performed on the model analysis and rescue deduction process of the selected area, a deduction simulation scene is automatically generated, visual display of the deduction current situation is achieved, actual operation of deduction participants is facilitated, deduction results are obtained according to rescue deduction, and a deduction result analysis report is generated according to the deduction results so that relevant participants can view the deduction results in real time.
The method and the device can provide two-dimensional and three-dimensional simulation demonstration and standardized chart display, support the fact that the defense current situation of the deduction area tends to be displayed to deduction participants more truly, and provide chart information similar to reality for the deduction participants (for example, flash report of mountain torrent disasters can be automatically generated), so that the aim of sparring is fulfilled.
The method of the application further comprises the following steps:
s5: and carrying out repeated evaluation on the deduction result to obtain an evaluation report.
Specifically, in one embodiment of the present application, the multiple disc evaluation is to trace back the deduction during the deduction or after the deduction, and evaluate the deduction according to the specified index and the specific requirement on the basis of the multiple disc, so as to be beneficial to finding the problem and summarizing experience.
Specifically, in one embodiment of the present application, the multiple disc assessment includes recall of the deduction result that has been completed by deduction, playback according to various records in the deduction process, and presentation of each playback process, so as to facilitate the deductor to reheat the deduction process and summarize experience.
The preliminary evaluation report is completed through statistics of key time or result data in the deduction process to generate a digital picture, a digital table or other files and visual data screening, flood disaster defense experience of the deductors and the decision maker is enriched, and the defense level is further improved.
The implementation principle of the embodiment of the application is as follows: the method comprises the steps of collecting high-precision image information, high-precision digital elevation information, soil vegetation information and hydraulic engineering basic information of a selected area through a 3S technology, collecting historical rainwater condition information, historical flood disaster condition information and socioeconomic information, wanting to edit the historical flood information and extreme rainfall process information, carrying out model analysis on the information through a preset disaster analysis model to obtain a model analysis result, further judging whether rescue needs to be carried out on the selected area according to the model analysis result, automatically generating a rescue plan according to the model analysis result, carrying out rescue deduction on the selected area according to the generated rescue plan, carrying out two-dimensional and three-dimensional dynamic virtual simulation on the rescue deduction to obtain a deduction result, and analyzing the deduction result to obtain a deduction result analysis report for relevant personnel to check and reference.
The flood disaster defense deduction system is operated by the method of the embodiment, and mainly comprises an acquisition module, a model analysis module, a judgment module, a dynamic simulation module and a multiple disc evaluation module; the acquisition module is used for acquiring basic geographic data and wanted editing data of the target area; the model analysis module is used for presetting a disaster analysis model, and carrying out data analysis on basic geographic data and wanted editing data according to the disaster analysis model to obtain a model analysis result; the judging module is used for judging whether the target area needs to be subjected to rescue according to the model analysis result, if so, generating a rescue plan according to the model analysis result, and carrying out rescue deduction on the target area according to the rescue plan; the dynamic simulation module is used for carrying out dynamic virtual simulation on the rescue deduction to obtain a deduction result, and analyzing the deduction result to obtain a deduction result analysis report; and the multi-disc evaluation module is used for carrying out multi-disc evaluation on the deduction result to obtain an evaluation report.
Specifically, in one embodiment of the present application, the acquisition module is mainly responsible for deduction settings, such as deduction background settings, rainfall process settings, and participant and material settings, and rule settings, such as task editing and rule editing.
The deduction setting function is to realize deduction background setting, rainfall process setting and participator and material setting functions, and the functions are the initial flow of deduction flow, deduction starting and ending time, early rain condition, early river water condition, early reservoir water condition, early working condition, rainfall process in deduction period, storm center moving process, flood process, submerging range, disaster degree, deduction target, deduction ending condition and the like, and the deduction basic data and deduction number are automatically generated after the setting is completed and stored in a deduction database.
The rule setting function is required to complete task editing and rule editing functions, and the task editing function determines the task content and responsibility range of each deduction person in the deduction and the business relation among each deduction person according to flood disaster defense working standards; the rule edit function needs to support basic rule settings for deduction participants including movement rules, communication rules, information (information) rules, and decision rules.
Specifically, in one embodiment of the present application, the model analysis module and the judgment module are mainly responsible for defending deductions, such as manual interactions, model analysis, deduction control and result archiving.
Referring to fig. 5, through a manual interaction function, a participant can obtain and view rain condition, water condition, work condition, disaster condition and socioeconomic information meeting the service responsibility requirement of the participant under the current deduction time, and the participant can issue various disaster defending instructions and view instruction execution and feedback conditions.
The model analysis is based on deduction propulsion conditions and manual interaction conditions, and referring to FIG. 6, on one hand, the current river channel water conditions and reservoir rain receiving capacity are analyzed and calculated, and flood evolution conditions are analyzed by combining reservoir and sluice scheduling; referring to fig. 7, on the other hand, analyzing disaster situations such as flood submerging range, submerged depth and the like by combining high-precision elevation data; referring to 8, in combination with the manual interaction situation, the current situations of personnel transfer, disaster relief teams and material application are analyzed, and model analysis results are provided for participants to view by utilizing a situation display function.
The deduction control function realizes deduction time step, deduction progress, temporary event editing (dam breach, bridge rushing, landslide and the like, and can edit the content of event occurrence time, severity, influence range and the like), special event processing and the like, and the control function of ensuring that deduction is successfully completed.
The result archiving function is used for archiving the database of the whole deduction process, the archived content comprises, but is not limited to, deduction basic information, deduction background information, operation information of the participants, deduction process data and the like, and the data types comprise, but are not limited to, characters, pictures, videos, special results and the like.
Specifically, referring to fig. 9, in one 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 presentation.
The situation display function provides two-dimensional and three-dimensional simulation display and standardized chart display, on one hand, the situation display function supports the fact that the defense status of the deduction area tends to be displayed to deduction participants more truly, and on the other hand, the situation display function provides chart information similar to reality for the deduction participants (for example, flash reports of mountain torrents can be automatically generated), so that the purpose of sparring and substitution is achieved.
Specifically, referring to fig. 10, in one embodiment of the present application, the multiple disk assessment is primarily responsible for deduction replay and analysis assessment.
The multiple disc evaluation function is a function of backtracking the deduction in the deduction process or after the deduction is finished, and can evaluate according to specified indexes and specific requirements on the basis of the multiple disc so as to be beneficial to finding problems and summarizing experience.
The application can also set the system, such as user and authority management, basic data management and the like.
The system can manage users by setting administrator rights, different rights can be given to different users, and parameters such as user types, user rights, user quantity and the like can be changed and set in the background. Meanwhile, the system provides functions such as background editing of the basic data.
The system supports participants to carry out manual interactive operation, supports deduction participants to check the rainy condition, the water condition and the work condition of the current deduction time, and supports to issue early warning information, transfer instructions and disaster relief instructions; the system completes simulation analysis on the water condition change, flood evolution and flooding conditions in the deduction process according to a background model supporting system, and analyzes personnel transfer conditions and rescue and relief conditions according to manual interaction instructions; the system provides two-dimensional and three-dimensional simulation functions, realizes visual display of the deduction current situation, and is beneficial to deduction of actual operation of participators.
The system database design adopts a database design method facing data, aims at information resource storage, gives consideration to various application requirements, builds a stable data structure based on disaster prevention deduction business, and automatically adapts to application requirements which may be variable in later period.
On the one hand, the structural design of the system database table follows the existing business database table structures such as real-time rain condition data, mountain torrent disaster investigation and analysis and evaluation data, mountain torrent disaster defense data, medium and small river forecast and early warning data and the like; on the other hand, according to the business requirement of the system, the structural design and the construction of the database table including a deduction system basic data table, a deduction rule data table, a hydrological model library table, a disaster analysis model library table, a deduction process table, a deduction result table and a compound disc evaluation table Germany are completed.
The embodiment of the application discloses a computer terminal, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the flood disaster prevention deduction method of the embodiment is executed when the processor loads the computer program.
The computer terminal may 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 may further include an input/output device, a network access device, a bus, and the like.
The processor may be a Central Processing Unit (CPU), or of course, according to actual use, other general purpose processors, digital Signal Processors (DSP), application Specific Integrated Circuits (ASIC), ready-made programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., and the general purpose processor may be a microprocessor or any conventional processor, etc., which is not limited in this application.
The memory may 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, or a combination of the internal storage unit of the terminal and the external storage device, and the memory may be used to store a computer program and other programs and data required by the server, and the memory may be used to temporarily store data that has been output or is to be output, which is not limited in this application.
The flood disaster prevention deduction method of the embodiment is stored in the memory of the terminal through the terminal, and is loaded and executed on the processor of the terminal, so that the flood disaster prevention deduction method is convenient to use.
The embodiment of the application discloses a computer readable storage medium, and a computer program is stored in the computer readable storage medium, wherein the flood disaster prevention deduction method of the embodiment is executed when the computer program is loaded by a processor.
The computer program may be stored in a computer readable storage medium, where the computer program includes computer program code, where the computer program code may be in a source code form, an object code form, an executable file form, or some middleware form, etc., and the computer readable medium includes any entity or device capable of carrying the computer program code, a recording medium, a usb disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunication signal, a software distribution medium, etc., where it should be noted that the computer readable medium includes, but is not limited to, the above components.
The flood disaster prevention deduction method of the embodiment is stored in the computer readable storage medium through the computer readable storage medium, and is loaded and executed on a processor, so that the storage and the application of the flood disaster prevention deduction method are facilitated.
The embodiments of this embodiment are all preferred embodiments of the present application, and are not intended to limit the scope of the present application, in which like parts are denoted by like reference numerals. Therefore: all equivalent changes in structure, shape and principle of this application should be covered in the protection scope of this application.
Claims (9)
1. A flood disaster prevention deduction method, comprising:
acquiring basic geographic data and wanted editing data of a target area;
presetting a disaster analysis model, and carrying out data analysis on the basic geographic data and the wanted edit data according to the disaster analysis model to obtain a model analysis result;
judging whether the target area needs to be subjected to rescue according to the model analysis result, if so, generating a rescue plan according to the model analysis result, and carrying out rescue deduction on the target area according to the rescue plan;
and carrying out dynamic virtual simulation on the rescue deduction to obtain a deduction result, and analyzing the deduction result to obtain a deduction result analysis report.
2. The flood disaster prevention deduction method according to claim 1, wherein after obtaining the basic geographical data and the desired edit data of the target area, basic rules for assisting the deduction process are also required to be obtained.
3. The flood disaster prevention deduction method according to claim 2, wherein a deduction initial scene is automatically created according to the target area, the basic geographic data, the wanted edit data and the basic rules, and the deduction initial scene is entered into a deduction countdown state, and related participators enter a simulated deduction standby state and wait for receiving a deduction instruction.
4. The flood disaster prevention deduction method according to claim 1, wherein the preset disaster analysis model performs data analysis on the basic geographic data and the desired edit data according to the disaster analysis model to obtain a model analysis result, and specifically comprises the following steps:
and carrying out distributed flood forecast, hydrodynamic analysis and disaster risk analysis on the basic geographic data and the desired edit data according to the disaster analysis model so as to simulate river channel water conditions, reservoir water conditions, flood disaster conditions and flood and disaster condition data in a submerged range and obtain the water level change condition, flood evolution condition and submerged condition of the target area.
5. The flood disaster prevention deduction method according to claim 1, further comprising:
and carrying out repeated evaluation on the deduction result to obtain an evaluation report.
6. A flood disaster prevention deduction system, comprising:
the acquisition module is used for acquiring basic geographic data and wanted editing data of the target area;
the model analysis module is used for presetting a disaster analysis model, and carrying out data analysis on the basic geographic data and the wanted edit data according to the disaster analysis model to obtain a model analysis result;
the judging module is used for judging whether the target area needs to be subjected to rescue according to the model analysis result, if so, generating a rescue plan according to the model analysis result, and carrying out rescue deduction on the target area according to the rescue plan;
the dynamic simulation module is used for carrying out dynamic virtual simulation on the rescue deduction to obtain a deduction result, and analyzing the deduction result to obtain a deduction result analysis report.
7. The flood disaster prevention deduction system according to claim 6, further comprising:
and the multiple disc evaluation module is used for carrying out multiple disc evaluation on the deduction result to obtain an evaluation report.
8. 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 the processor performs the method of any of claims 1-5 when the computer program is loaded.
9. A computer readable storage medium having a computer program stored therein, characterized in that the computer program, when loaded by a processor, performs the method of any of claims 1-5.
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|---|---|---|---|
| CN202211477152.1A CN116186973A (en) | 2022-11-23 | 2022-11-23 | Flood disaster defense deduction method, system, terminal and storage medium |
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| CN202211477152.1A CN116186973A (en) | 2022-11-23 | 2022-11-23 | Flood disaster defense deduction method, system, terminal and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116739115A (en) * | 2023-08-15 | 2023-09-12 | 北京航天晨信科技有限责任公司 | Unmanned aerial vehicle escape strategy modeling-oriented data sample generation method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116739115A (en) * | 2023-08-15 | 2023-09-12 | 北京航天晨信科技有限责任公司 | Unmanned aerial vehicle escape strategy modeling-oriented data sample generation method and system |
| CN116739115B (en) * | 2023-08-15 | 2023-11-10 | 北京航天晨信科技有限责任公司 | Unmanned aerial vehicle escape strategy modeling-oriented data sample generation method and system |
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