CN112561172A - Rainfall waterlogging house safety early warning system - Google Patents

Rainfall waterlogging house safety early warning system Download PDF

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CN112561172A
CN112561172A CN202011502767.6A CN202011502767A CN112561172A CN 112561172 A CN112561172 A CN 112561172A CN 202011502767 A CN202011502767 A CN 202011502767A CN 112561172 A CN112561172 A CN 112561172A
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rainfall
waterlogging
data
house
early warning
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江杰
汤娟
甘雨
欧孝夺
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Guangxi Ruiyu Building Technology Co ltd
Guangxi University
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Guangxi Ruiyu Building Technology Co ltd
Guangxi University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462—Approximate or statistical queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G06Q50/265—Personal security, identity or safety
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
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    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
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    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/50—Safety; Security of things, users, data or systems
    • H—ELECTRICITY
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
    • Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather

Abstract

The invention discloses a rainfall waterlogging house safety early warning system, which belongs to the field of safety early warning. Through the research on the influence of the house safety model frame and rainfall on the house safety early warning, the distribution situation of urban waterlogging points in the urban center under different rainfall conditions, the distribution situation of urban central old dangerous houses, and the early warning grade distribution situation of south Ning city central old dangerous houses under different rainfall conditions are mastered, the unified display management of dangerous and old houses and easy waterlogging points is realized, the critical house situation in the flood season is mastered in an all-around manner, and reliable and scientific data are provided for the house safety precaution early warning.

Description

Rainfall waterlogging house safety early warning system
Technical Field
The invention relates to the field of safety early warning, in particular to a rainfall waterlogging house safety early warning system.
Background
Many urban terrains are basin-shaped with wide valleys as the center. The middle part of the basin is generally a junction of a left river and a right river, hills on the south and north sides are close to a river bank to form a natural boundary line, and a long river valley and the basin are divided into two small basins, namely an Nanning river valley basin taking a Nanning city area as the center; the second is erosion-erosion of the basin centered on the Tonglen town. The geological disasters mainly comprise sudden geological disasters in flood season such as landslide, collapse, debris flow and ground collapse. According to survey data statistics, tens to hundreds of geological disasters with serious loss occur each year on average, two or thirty people die, the economic loss is ten million yuan, and the social and economic sustainable development and the life and property safety of people cause great harm.
In order to solve the problem that the current house safety early warning technology content is insufficient, house safety identification information is fully utilized, research work of house safety early warning model frames and house safety early warning submodules influenced by rainfall is carried out, and a scientific basis is provided for urban house disaster early warning.
Disclosure of Invention
The invention aims to provide a rainfall waterlogging house safety early warning system, which solves the technical problems in the background technology.
A rainfall waterlogging house safety early warning system comprises a user layer, an application layer, a platform layer, a data resource layer and a basic environment layer, wherein the basic environment layer comprises hardware equipment, communication equipment, network equipment and application supporting software, the hardware equipment finishes data collection, application development and system operation to provide a computer system environment and comprises a computer, storage equipment and network interface equipment, the communication equipment comprises satellite communication equipment and sensing equipment, the network equipment comprises a mobile network, the Internet and a satellite network, the application supporting software provides software environment support for development, testing and operation and comprises an operating system, database management system software, storage management software, a distributed file system and cluster management software, the data resource layer comprises hidden danger point data, detailed investigation data, rainfall data, oblique photography data, unmanned aerial vehicle aerial photography data, The system comprises a data organization unified standard and processing component universal standard library, a platform layer, an application layer, a user layer and a user authority function, wherein the platform layer is used for controlling user authority according to an authority control module, controlling hidden danger point data and inquiry authority of graphic data according to different roles and configuring authority according to different roles, the application layer is used for space graphic display, waterlogging analysis, crisis analysis, rainfall inquiry analysis, inquiry statistics and system management, the user layer is used for browsing range according to authority control and identity authentication, and the user authority function is configured according to authority control and identity authentication.
Further, the specific process of the waterlogging calculation of the data resource layer is as follows: calculating effective rainfall through rainfall calculation, performing grid division on the image, correcting the network according to the arrangement information of the pipe network and the river channel according to administrative division, and calculating the water depth of the center of the grid.
Further, the number of the rainfall observation stations is N1The coordinate point of a calculation point in the calculation region is (x, y), and n nearest to the calculation point is selected1An observation point, where n1≤N1From n to n1The actual rainfall of each observation point is q1，q2，…，qn1And fitting the continuous curved surface to obtain the rainfall of the calculated points, wherein the fitting process is as follows: q (x, y) ═ a1x2+a2y2+a3xy+a4x+a5y+a6X, y are coordinates of coordinate points, a1-a6Are all known constants, calculate n1Rainfall error of individual observation point
Figure BDA0002843949650000021
i is a positive integer, qiCalculating n for the actual rainfall of the ith observation point and q for the interpolation rainfall1The error sum R of the point is minimum, then
Figure BDA0002843949650000022
Substituting the rainfall equation and the rainfall error into the calculated band error and the minimum value ai2；
The method comprises the following steps of designing a calculation area by adopting an unstructured irregular grid, designing the grid into a trilateral, quadrilateral or pentagonal shape, defining each side of the grid into a channel, enabling the normal direction of the grid to be any direction, taking a unit grid as a control body according to a finite volume method, calculating a water level H at the center of the grid, calculating a flow Q at the middle point of a channel at the periphery of the grid, taking the average value of the grid as the water level, taking the average value of the channel as the flow, and adopting a time staggered mode for the water level and the flow in time;
the method is characterized in that the urban earth surface and the water flow motion of the open channel river channel are taken as objects, the control equation takes a basic equation of planar two-dimensional unsteady flow as a framework, for drainage channel gushes or river channels with the size smaller than a discrete network, an algorithm adopting a one-dimensional open channel unsteady flow equation is combined in a two-dimensional model, and a continuous equation of the basic equation of the two-dimensional unsteady flow is as follows:
Figure BDA0002843949650000023
the momentum equation of the two-dimensional unsteady flow basic equation is as follows:
Figure BDA0002843949650000024
Figure BDA0002843949650000025
in the formula, H is water depth, t is time, Z is water level, Z is Z0+ H, and Z0 is bottom elevation; q is a source and sink item and comprises two items of effective rainfall and drainage strength; m, N is the single width flow in x and y directions, M is Hu, N is Hv; u and v are the components of the flow velocity in the x and y directions respectively; n is roughness; g is gravity acceleration;
the basic control equation for one-dimensional unsteady flow is:
Figure BDA0002843949650000031
wherein Q is the cross-sectional flow, A is the water passing area of the calculated cross-section, SfThe frictional resistance slope is obtained by the existing Manning formula, and the water depth at the center of the grid is calculated according to two-dimensional and one-dimensional unsteady flow equations.
Further, the specific process of constructing the house safety early warning model in the data resource layer is as follows:
analyzing meteorological data and geographic information data by adopting a two-dimensional unsteady flow mathematical model, simulating the rainwater accumulation and drainage condition after the urban rainfall, displaying main urban waterlogging points by adopting ArcGIS image processing, and simulating the waterlogging depth of the waterlogging points under different rainfall quantities according to different rainfall quantities;
simulating the disaster situation of the house under the rainfall waterlogging condition by combining the basic situation data of the urban house, and grading according to the disaster situation;
and correcting the model according to the historical waterlogging disaster data.
Further, the information to be acquired during early warning is as follows: the method comprises the steps of collecting meteorological data, geographic information data, basic building situation data and historical waterlogging situation data, wherein the meteorological data comprise minute and hour rainfall and typical strong rainfall process data, the geographic information data comprise administrative region division of a city, a city digital elevation model, a water system, land utilization and drainage capacity, the basic building situation comprises the safety level, the construction age, the structure type and the basic type of the building, and the historical waterlogging situation data mainly comprise urban waterlogging ponding position, ponding depth, measures taken for drainage, ponding drainage time and loss in recent years.
Furthermore, after the model is built, simulation is carried out according to different rainstorm grade divisions of a weather bureau, early warning is carried out on the safety of the house while a rainstorm early warning signal is issued by the weather bureau, the model is verified by combining historical waterlogging disaster conditions, a recent heavy rainfall process is selected for simulation verification, a simulation result is compared with an actual condition, and the distribution of waterlogging points, the waterlogging depth, the house influence condition and the ponding discharge time are concerned for verification and check.
By adopting the technical scheme, the invention has the following technical effects:
according to the invention, through the research on the house safety model framework and the house safety early warning influenced by rainfall, the distribution situation of urban waterlogging points in the center of a city, the distribution situation of old dangerous houses in the urban center of the city and the early warning grade distribution situation of old dangerous houses in the central city of Nanning city under different rainfall conditions are mastered, the unified display management of dangerous and old houses and easily waterlogging points is realized, the critical house situation in the flood season is mastered in an all-around manner, and reliable and scientific data are provided for the house safety precaution early warning.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention.
FIG. 2 is a diagram of an early warning model framework according to the present invention.
Fig. 3 is a flow chart of the early warning method of the present invention.
Fig. 4 is a rainfall statistic distribution diagram according to the present invention.
Fig. 5 is a waterlogging warning diagram according to the present invention.
Fig. 6 is a diagram of the assessment of the early warning level of the house according to the present invention.
Fig. 7 is a diagram of the spatial arrangement of H and Q of the present invention.
FIG. 8 is a graph of the calculation of time interleaving for H and Q of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, preferred embodiments are given and the present invention is described in further detail. It should be noted, however, that the numerous details set forth in the description are merely for the purpose of providing the reader with a thorough understanding of one or more aspects of the present invention, which may be practiced without these specific details.
A rainfall waterlogging house safety early warning system is shown in figure 1 and comprises a user layer, an application layer, a platform layer, a data resource layer and a basic environment layer.
Infrastructure layer: the infrastructure layer mainly comprises hardware equipment, communication equipment, network equipment, application support software and the like, and provides infrastructure support of various types of software and hardware for the landslide monitoring and analyzing system. And the hardware supports, completes data collection, application development and system operation, and provides a computer system environment comprising a computer, storage equipment, network equipment and the like. The communication equipment comprises satellite communication equipment, sensing equipment and the like. Network devices include mobile networks, the internet, satellite networks, and the like. The application support software provides software environment support for development, test and operation, is positioned on the hardware support and mainly comprises an operating system, database management system software, storage management software, a distributed file system, cluster management software and the like.
Data resource layer: the data resource layer mainly comprises hidden danger point data, detailed investigation data, rainfall data, oblique photography data, unmanned aerial vehicle aerial photography data and the like, and further comprises a data organization unified standard, a processing component/suite universal standard library and the like.
Platform layer: the system mainly uses an authority control module of a uniformly developed basic framework to control the authority of a user, and controls the inquiry authority of hidden danger point data and graphic data according to different roles. The functions of the system also have to be configured according to different roles.
An application layer: the application layer mainly has the functions of space graphic display, waterlogging analysis, critical house analysis, rainfall query analysis, query statistics, system management and the like of the house safety management system in Nanning City.
And (3) a user layer: related staff can browse the scope according to the authority control and the identity authentication. The functions of the system are also configured according to the authority control and the identity authentication.
The software environment for system operation mainly comprises three parts: WEB server, backstage database and GIS server. The WEB Server is realized by Apache + jdk8, the background database is a large relational database Oracle 11g, the GIS platform is an ESRI product, the spatial database engine is ArcSDE V10.3.1, the WEB GIS software is ArcIMS V10.3.1, and the enterprise GIS Server is an ArcGIS Server.
Early warning calculation of waterlogging and rainfall calculation
And (3) adopting an interpolation method for the rainfall observed or forecasted by the rainfall station as a rainfall boundary condition.
And setting the number of the rainfall observation stations as N. For any position (x, y) in the calculation area, N (N is less than or equal to N) observation points which are nearest to the position can be selected, and a quadric surface is fitted by using the least square method according to the measured rainfall amounts q1, q2, … and qn of the N observation points, wherein the rainfall amount of the (x, y) point can be determined by the quadric surface. The specific method comprises the following steps:
setting a quadric surface equation: q (x, y) ═ a1x2+a2y2+a3xy+a4x+a5y+a6 (a)
Error sum of n points:
Figure BDA0002843949650000051
by the principle of least square method, to minimize the error sum of n points as R,
then there are:
Figure BDA0002843949650000052
obtaining a from the formula (c)i(i is 1,2, …, n) and substituted into (a) to obtain the interpolated rainfall q of (x, y).
Network design
And designing a calculation area by adopting an unstructured irregular grid. The grid can be designed as a triangle, a quadrangle or a pentagon. The sides of the grid define channels, the normal direction of which can be any direction. As shown in fig. 1. According to the finite volume method, taking a unit grid as a control body, calculating the water level H at the center of the grid, and calculating the flow Q at the midpoint of a peripheral channel of the grid. Wherein the water level has the meaning of the grid mean and the flow has the meaning of the channel mean. In addition, the water levels and flow rates are time staggered in time, as shown in FIGS. 7-8 below.
Basic equation of control
The simulation takes urban earth surface and channel river water flow movement as main simulation objects, and the basic control equation takes a basic equation of planar two-dimensional unsteady flow as a framework. Meanwhile, aiming at drainage channel gushing or a river channel with the size smaller than a discrete network scale, an algorithm adopting a one-dimensional open channel unsteady flow equation is combined in a two-dimensional model.
Fundamental equation of two-dimensional unsteady flow
The continuous equation:
Figure BDA0002843949650000061
the momentum equation:
Figure BDA0002843949650000062
Figure BDA0002843949650000063
in the formula, H is water depth; z is water level, Z is Z0+ H, and Z0 is bottom elevation; q is a source and sink item and comprises two items of effective rainfall and drainage strength; m, N is the single width flow in x and y directions, M is Hu, N is Hv; u and v are the components of the flow velocity in the x and y directions respectively; n is roughness; g is gravity acceleration.
One-dimensional non-constant flow fundamental control equation:
Figure BDA0002843949650000064
wherein Q is a cross-sectional flow rate
A is the water passing area of the calculated section;
sf is the frictional resistance slope, and can be obtained by the Manning formula:
Figure BDA0002843949650000065
wide top weir overflow formula:
Figure BDA0002843949650000066
where Qj is the single width flow at the top of the weir, m is the overflow coefficient of the wide top weir, σsFor the submergence coefficient, Hj is the water level above the weir crest.
Calculation process
The overall calculation process is as follows: calculating effective rainfall q through rainfall calculation, carrying out grid division on images, correcting the network according to information such as administrative division, pipe network and river arrangement and the like, and calculating the water depth at the center of the grid through a non-constant flow equation.
House safety early warning model
And developing a rainfall influence house safety early warning model which is a submodule in the house safety early warning model so as to realize early warning of the house safety condition of the urban area of the central south ning city under the influence of different rainfall conditions.
The waterlogging early warning model is a submodel in the house safety early warning model, and its purpose combines the rainfall early warning signal that weather station promulgated, carries out the early warning to the influence of the produced urban waterlogging to house safety in the rainfall process, and its main early warning flow is: rainfall under different conditions, waterlogging simulation, early warning grade division and effect test.
The model is built up, as shown in figure 2,
the method comprises the steps of firstly, analyzing meteorological data and geographic information data by adopting a mathematical model (two-dimensional unsteady flow), simulating the rainwater accumulation and discharge condition after the urban rainfall, displaying main urban waterlogging points by adopting ArcGIS image processing, and simulating the waterlogging depth of the waterlogging points under different rainfall quantities according to different rainfall quantities.
And secondly, simulating the disaster situation of the house under the condition of rainfall waterlogging by combining the basic situation data of the urban house, and grading according to the disaster situation.
And thirdly, correcting the model according to historical waterlogging situation data, and improving the accuracy of the model.
The early warning process, as shown in fig. 3, collects the four types of data, namely meteorological data, geographic information data, basic house situation data, and historical waterlogging situation data, according to the needs of model establishment. The method comprises the steps of acquiring weather data, geographical information data, building basic conditions and historical waterlogging disaster data, wherein the weather data comprises minute and hour rainfall and typical strong rainfall process data, the geographical information data comprises administrative region division of a city, a Digital Elevation Model (DEM) of the city, a water system, land utilization, drainage capacity and the like, the basic conditions of the house comprise the safety level, the construction age, the structure type, the basic type and the like of the house, and the historical waterlogging disaster data mainly comprises the position of waterlogging ponding, the depth of the ponding, measures taken for drainage, ponding removal time, loss and the.
Security level classification
After the model is established, simulation can be carried out according to different rainstorm grade divisions of the weather bureau, so that early warning is conveniently carried out on the safety of a house when the weather bureau issues a rainstorm early warning signal, and the rainstorm grade divisions are as follows:
rainstorm rating scale
Figure BDA0002843949650000081
Model validation
And verifying the model by combining the historical inland inundation disaster condition. A typical heavy rainfall process in recent years is selected for simulation verification, simulation results are compared with actual conditions, and the aspects of waterlogging point distribution, waterlogging depth, house influence conditions and ponding drainage time are mainly concerned.
House safety early warning system
The house safety early warning system for building the Nanning city house is developed according to the building safety management work requirement of the Nanning city house by building a house safety early warning model and a frame, the existing Nanning city house safety data are superposed, the actual rainfall condition is combined, the dangerous and old houses and the waterlogging-prone points are uniformly displayed and managed, the dangerous and old houses and the waterlogging-prone points are comprehensively mastered in the flood season, the house safety is early warned through the house safety early warning model, the management efficiency of the dangerous and old houses and the waterlogging-prone points is improved, a scientific data base is provided for leadership decision-making, and the contribution is made to building the house in disaster.
Hazardous and old housing spot management
Management of essential information of dangerous and old houses
The system provides operations of adding, deleting, modifying and the like to the essential information of the dangerous and old houses. The user of this operation requires data administrator privileges. The basic information of the dangerous and old houses comprises unified numbers, administrative regions, dangerous and old house addresses, dangerous and old house structures, dangerous and old house grades, contact telephones and the like.
Increase: the system supports newly-added dangerous and old houses, and can record information such as addresses, unified serial numbers, administrative areas, structures of the dangerous and old houses, dangerous and old house grades, contact phone numbers and the like of the dangerous and old houses through newly-added functions;
modifying: the system supports editing and modifying operation on the added dangerous and old houses.
And (3) deleting: the system supports deletion operation of the added dangerous and old houses.
Dangerous and old house dynamic information input and management
The data of the dangerous and old houses can be maintained and managed, the data of the dangerous and old houses is a data base for house safety early warning analysis, necessary change or update can be carried out in the system operation process, the data of the dangerous and old houses can be updated through the 'building engineering health monitoring and early warning system', and meanwhile, the function of inputting or importing is supported.
The input or imported dangerous and old house data comprises dangerous and old house addresses, unified numbers, administrative regions, dangerous and old house structures, dangerous and old house grades, contact telephones and the like, the system supports management of the dangerous and old house data and exports, and exported formats comprise EXCEL, PDF and the like.
Information query of dangerous and old houses
The user can inquire the information of the dangerous and old house in the system, and the information can be classified into attribute inquiry and space inquiry according to different inquiry modes.
1. And (4) attribute query: the system supports fuzzy query of information such as the names of the dangerous and old houses and the addresses of the dangerous and old houses, can look up detailed information of the dangerous and old houses, and also provides a positioning function, and the system realizes a quick positioning function on the page.
2. And (3) spatial query: (1) inquiring according to the administrative district scope: inquiring basic information of the old and dangerous houses according to counties and villages; (2) and (5) drawing range query: (2) and inquiring basic information of the dangerous and old houses in the drawing range according to the drawn rectangle, polygon and the like.
Rainfall query analysis
Rainfall query
And the rainfall query function is realized by calling meteorological data.
The rainfall inquiry module can select a time period and an administrative district, and the distribution situation and the accumulated rainfall of rainfall sites of the selected county-level administrative district are displayed on a map. The cumulative rainfall time is in hours, and the rainfall conditions of 1 hour, 3 hours, 6 hours to 120 hours can be counted.
(1) The system supports the display of the distribution situation and the accumulated rainfall of rainfall sites of the selected administrative area on a map through time periods, administrative areas and the like. The administrative district is set as a city and county two-level directory tree, and the distribution situation and the accumulated rainfall of rainfall sites in different county level administrative districts are displayed. After the administrative district is selected, the association display is carried out on the map, as shown in fig. 4. Meanwhile, the system provides display result list data, positioning to a corresponding rainfall site on the map is supported through corresponding records in the list, and detailed information of the rainfall site can be checked through a rainfall site icon on the map.
The accumulated rainfall time is set to be in hours, and the rainfall conditions of 1 hour, 3 hours, 6 hours to 120 hours can be counted. The selected time represents one hour time, 3 hours, etc. ahead of the current time. If the current time is 9 a.m.: 00, then 1 hour of accumulation represents 8:00 to 9: 00.
Distribution of rainfall
By utilizing the spatial analysis function of ArcGIS, various algorithms such as IDW, Kriging method, natural neighbor interpolation method, nearest neighbor interpolation method and the like are adopted to carry out interpolation analysis on the rainfall data to generate a rainfall equivalent map.
The rainfall distribution module supports displaying 1-hour or 24-hour rainfall distribution isosurface map of the administrative district by selecting date, time and administrative district.
(1) The rainfall distribution module displays a rainfall equivalent graph of the selected administrative area in the selected time period;
(2)1/24 hours switch, display 1 hour by default, when "1 hour" is selected, highlight;
(3) the system supports the selection of corresponding time through the grade surface date to view the isosurface data, including date and time.
Early warning of waterlogging, as shown in fig. 5. Through the safety early warning model, the different rainstorm grades according to the weather bureau are divided and are simulated, so that the house safety is early warned when the weather bureau issues the rainstorm early warning signal.
Rainstorm warning level
The system sends out early warning according to the model and in combination with rainfall, and the system is divided into 4 grades of early warning. Respectively as follows:
blue early warning: the rainfall will reach more than 50 mm within 12 hours, or has reached more than 50 mm and the rainfall may continue;
yellow early warning: the rainfall will reach more than 50 mm within 6 hours, or has reached more than 50 mm and the rainfall may continue;
orange early warning: the rainfall will reach more than 50 mm within 3 hours, or has reached more than 50 mm and the rainfall may continue;
red early warning: the rainfall will be above 100 mm in 3 hours, or already above 100 mm and the rainfall may continue.
Early warning analysis chart:
and (3) statistical chart analysis: the early warning levels of different county levels of the whole city are displayed through a pie chart, the name and the early warning level of the administrative district are displayed through the pie chart, the corresponding colors (blue, yellow, orange and red) are displayed through the early warning of different levels, the user can input the specific name of the administrative district according to actual requirements, and the system only displays the early warning condition of the target administrative district.
And (3) displaying by a statistical table: and displaying the early warning conditions of all districts (counties) in the whole city in a list form, wherein the displayed content comprises the names of administrative districts, the grades of the early warnings and the corresponding numbers. And the export function of the statistical chart is supported.
And (4) carrying out waterlogging distribution, combining the rainfall and the calculation of the depth of the ponding, drawing and generating a waterlogging isosurface map, displaying the waterlogging isosurface map in a map, and supporting the operations of amplifying, reducing, moving, checking attributes and the like of the map.
Model configuration:
and the early warning model manages the early warning model of the waterlogging, and lists and displays the superposed calculation results of the waterlogging level and the danger level of the dangerous and old house, and the result is used as the early warning level of the house affected by the rainfall waterlogging. The levels are divided into blue, yellow, orange and red levels, are used as a final symbolization basis of the waterlogging early warning result graph, and support operations such as query, addition, modification, deletion and the like of the early warning level model.
And setting rainfall, namely setting rainfall accumulation of each administrative district in Nanning city, displaying in a list form, and supporting modification of rainfall accumulation information.
And (3) configuring the relation between the ponding and the rainfall, setting the relation between the rainfall and the ponding depth, displaying in a list form, and supporting the modification of the rainfall value and the ponding depth of the corresponding relation, wherein 200ml of rainfall can be set to be equal to the ponding depth of 1 meter. The method is used for early warning and calculation of waterlogging.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention.

Claims (6)

1. The utility model provides a rainfall waterlogging house safety precaution system which characterized in that: the system comprises a user layer, an application layer, a platform layer, a data resource layer and a basic environment layer, wherein the basic environment layer comprises hardware equipment, communication equipment, network equipment and application supporting software, the hardware equipment completes data collection, application development and system operation to provide a computer system environment, the communication equipment comprises a computer, storage equipment and network interface equipment, the communication equipment comprises satellite communication equipment and sensing equipment, the network equipment comprises a mobile network, the Internet and a satellite network, the application supporting software provides software environment support for development, test and operation and comprises an operating system, database management system software, storage management software, a distributed file system and cluster management software, the data resource layer comprises hidden danger point data, detailed check data, rainfall data, oblique photography data, unmanned aerial vehicle aerial photography data, data organization unified standard and a processing component universal standard library, the platform layer is used for controlling user authority according to the authority control module, controlling inquiry authority of the hidden danger point data and the graphic data according to different roles, and configuring authority according to different roles, the application layer is used for space graphic display, waterlogging analysis, dangerous room analysis, rainfall inquiry analysis, inquiry statistics and system management, the user layer is used for browsing range according to authority control and identity authentication, and the user authority function is configured according to authority control and identity authentication.
2. The rainfall waterlogging house safety precaution system of claim 1, characterized in that: the specific process of the waterlogging rainwater calculation of the data resource layer comprises the following steps: calculating effective rainfall through rainfall calculation, performing grid division on the image, correcting the network according to the arrangement information of the pipe network and the river channel according to administrative division, and calculating the water depth of the center of the grid.
3. The rainfall waterlogging house safety precaution system of claim 3, characterized in that:
setting the number of rainfall observation stations as N1The coordinate point of a calculation point in the calculation region is (x, y), and n nearest to the calculation point is selected1An observation point, where n1≤N1From n to n1The actual rainfall of each observation point is q1，q2，…，qn1And fitting the continuous curved surface to obtain the rainfall of the calculated points, wherein the fitting process is as follows: q (x, y) ═ a1x2+a2y2+a3xy+a4x+a5y+a6X, y are coordinates of coordinate points, a1-a6Are all known constants, calculate n1Rainfall error of individual observation point
Figure FDA0002843949640000011
i is a positive integer, qiCalculating n for the actual rainfall of the ith observation point and q for the interpolation rainfall1The error sum R of the point is minimum, then
Figure FDA0002843949640000012
i2＝1,2,3,…,n1Substituting the rainfall equation and the rainfall error into the calculated band error and the minimum value ai2；
The method comprises the following steps of designing a calculation area by adopting an unstructured irregular grid, designing the grid into a trilateral, quadrilateral or pentagonal shape, defining each side of the grid into a channel, enabling the normal direction of the grid to be any direction, taking a unit grid as a control body according to a finite volume method, calculating a water level H at the center of the grid, calculating a flow Q at the middle point of a channel at the periphery of the grid, taking the average value of the grid as the water level, taking the average value of the channel as the flow, and adopting a time staggered mode for the water level and the flow in time;
the method is characterized in that the urban earth surface and the water flow motion of the open channel river channel are taken as objects, the control equation takes a basic equation of planar two-dimensional unsteady flow as a framework, for drainage channel gushes or river channels with the size smaller than a discrete network, an algorithm adopting a one-dimensional open channel unsteady flow equation is combined in a two-dimensional model, and a continuous equation of the basic equation of the two-dimensional unsteady flow is as follows:
Figure FDA0002843949640000021
the momentum equation of the two-dimensional unsteady flow basic equation is as follows:
Figure FDA0002843949640000022
Figure FDA0002843949640000023
in the formula, H is water depth, t is time, Z is water level, Z is Z0+ H, and Z0 is bottom elevation; q is a source and sink item and comprises two items of effective rainfall and drainage strength; m, N is the single width flow in x and y directions, M is Hu, N is Hv; u and v are the components of the flow velocity in the x and y directions respectively; n is roughness; g is gravity acceleration;
the basic control equation for one-dimensional unsteady flow is:
Figure FDA0002843949640000024
wherein Q is the cross-sectional flow, A is the water passing area of the calculated cross-section, SfThe frictional resistance slope is obtained by the existing Manning formula, and the water depth at the center of the grid is calculated according to two-dimensional and one-dimensional unsteady flow equations.
4. The rainfall waterlogging house safety precaution system of claim 2, characterized in that: the specific process of constructing the house safety early warning model in the data resource layer comprises the following steps:
analyzing meteorological data and geographic information data by adopting a two-dimensional unsteady flow mathematical model, simulating the rainwater accumulation and drainage condition after the urban rainfall, displaying main urban waterlogging points by adopting ArcGIS image processing, and simulating the waterlogging depth of the waterlogging points under different rainfall quantities according to different rainfall quantities;
simulating the disaster situation of the house under the rainfall waterlogging condition by combining the basic situation data of the urban house, and grading according to the disaster situation;
and correcting the model according to the historical waterlogging disaster data.
5. The rainfall waterlogging house safety precaution system of claim 4, characterized in that: the information required to be acquired during early warning is as follows: the method comprises the steps of collecting meteorological data, geographic information data, basic building situation data and historical waterlogging situation data, wherein the meteorological data comprise minute and hour rainfall and typical strong rainfall process data, the geographic information data comprise administrative region division of a city, a city digital elevation model, a water system, land utilization and drainage capacity, the basic building situation comprises the safety level, the construction age, the structure type and the basic type of the building, and the historical waterlogging situation data mainly comprise urban waterlogging ponding position, ponding depth, measures taken for drainage, ponding drainage time and loss in recent years.
6. The rainfall waterlogging house safety precaution system of claim 5, characterized in that: after the model is established, simulation is carried out according to different rainstorm grade divisions of a weather bureau, early warning is carried out on the safety of a house when the weather bureau issues a rainstorm early warning signal, the model is verified by combining historical waterlogging disaster conditions, a recent heavy rainfall process is selected for simulation verification, simulation results are compared with actual conditions, and the distribution of waterlogging points, the waterlogging depth, the influence condition of the house and the drainage time of ponding are concerned for verification and check.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113282877A (en) * 2021-07-22 2021-08-20 中国科学院地理科学与资源研究所 Natural disaster key hidden danger risk assessment method and device
CN113917567A (en) * 2021-09-29 2022-01-11 重庆市气象台 Gridding rainstorm early warning method, system, electronic equipment and medium
CN115859676A (en) * 2022-12-23 2023-03-28 南京师范大学 Multi-level urban waterlogging coupling simulation method considering climate elements
CN115953281A (en) * 2022-12-19 2023-04-11 贵州大学 Dynamic assessment method and system for inland inundation disasters of urban underground space

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113282877A (en) * 2021-07-22 2021-08-20 中国科学院地理科学与资源研究所 Natural disaster key hidden danger risk assessment method and device
CN113917567A (en) * 2021-09-29 2022-01-11 重庆市气象台 Gridding rainstorm early warning method, system, electronic equipment and medium
CN113917567B (en) * 2021-09-29 2024-04-12 重庆市气象台 Gridding storm warning method, gridding storm warning system, electronic equipment and medium
CN115953281A (en) * 2022-12-19 2023-04-11 贵州大学 Dynamic assessment method and system for inland inundation disasters of urban underground space
CN115859676A (en) * 2022-12-23 2023-03-28 南京师范大学 Multi-level urban waterlogging coupling simulation method considering climate elements
CN115859676B (en) * 2022-12-23 2024-01-12 南京师范大学 Multi-level urban waterlogging coupling simulation method considering climate factors

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