CN113987661A - Earthquake damage prediction visual evaluation system - Google Patents

Earthquake damage prediction visual evaluation system Download PDF

Info

Publication number
CN113987661A
CN113987661A CN202111312885.5A CN202111312885A CN113987661A CN 113987661 A CN113987661 A CN 113987661A CN 202111312885 A CN202111312885 A CN 202111312885A CN 113987661 A CN113987661 A CN 113987661A
Authority
CN
China
Prior art keywords
data
layer
module
map
earthquake
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111312885.5A
Other languages
Chinese (zh)
Inventor
马犇
谢庆胜
张洁
朱虹
何琳
汪小厉
万杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
ANHUI EARTHQUAKE ADMINISTRATION
Original Assignee
ANHUI EARTHQUAKE ADMINISTRATION
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by ANHUI EARTHQUAKE ADMINISTRATION filed Critical ANHUI EARTHQUAKE ADMINISTRATION
Priority to CN202111312885.5A priority Critical patent/CN113987661A/en
Publication of CN113987661A publication Critical patent/CN113987661A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/904Browsing; Visualisation therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Geometry (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Civil Engineering (AREA)
  • Remote Sensing (AREA)
  • Architecture (AREA)
  • Software Systems (AREA)
  • Structural Engineering (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

The invention provides a visual earthquake damage prediction evaluation system, which comprises: the data layer is used for providing a storage management function of bottom data; the supporting layer is connected with the data layer and is used for providing a read-write access interface for bottom data and an equipment access interface function; and the application layer is connected with the support layer and is used for realizing the simulation evaluation of the earthquake damage prediction result and realizing the visual display of the evaluation result. By establishing the urban earthquake damage prediction basic database, a visual earthquake damage prediction evaluation system is developed, the effect on spatial data management is fully exerted, effective management and visual display of earthquake damage prediction data are realized, and therefore the urban earthquake prevention and disaster reduction capacity is improved.

Description

Earthquake damage prediction visual evaluation system
Technical Field
The invention relates to the technical field of earthquake damage prediction, in particular to a visual earthquake damage prediction evaluation system.
Background
The earthquake damage prediction refers to estimation of casualties, building (structure) and facility damage, economic loss and distribution thereof possibly caused by earthquakes in a certain period of time in the future on the basis of earthquake risk analysis, earthquake districts or small districts and engineering building vulnerability analysis in China or in certain regions. The earthquake damage prediction provides scientific basic basis for formulating earthquake-proof disaster-reduction plans. China is a country with a plurality of earthquake disasters, and the earthquake damage prediction work is especially important based on history and real national conditions.
At present, most earthquake damage prediction results are expressed in the modes of characters, diagrams, tables and the like, the prediction results cannot be effectively displayed visually, and after a real earthquake occurs, the earthquake event cannot be simulated and evaluated, and the local earthquake damage prediction results cannot be quickly and effectively utilized.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a visual earthquake damage prediction evaluation system, which solves at least one problem in the background technology and realizes effective management and visual display of earthquake damage prediction data.
In order to achieve the above object, the present invention provides a visual evaluation system for earthquake damage prediction, comprising:
the data layer is used for providing a storage management function of bottom data;
the supporting layer is connected with the data layer and is used for providing a read-write access interface for bottom data and an equipment access interface function;
and the application layer is connected with the support layer and is used for realizing the simulation evaluation of the earthquake damage prediction result and visually displaying the evaluation result.
According to some embodiments of the invention, the underlying data comprises spatial data, map data, seismic hazard prediction data; wherein the content of the first and second substances,
the space data is stored in a space database;
the map drawing data is saved by an engineering file;
and table data in the earthquake damage prediction data is stored in a table file, and pictures and character data in the earthquake damage prediction data are stored in a file.
According to some embodiments of the invention, the spatial data comprises basic spatial data and professional spatial data; wherein the content of the first and second substances,
the basic spatial data is composed of 1: 10000 of basic geographic space data and social and economic data; the basic space data comprises at least one of administrative division table fields, main traffic, main water systems and place name data;
the professional space data comprises at least one of seismic table network layout, historical seismic catalogs, seismic lines of fixed-distance earthquakes and the like, a geodesic partition map, a new structure partition map, a regional seismic structure map, a near-field seismic structure map, various cell partition map pieces, a building distribution map, a life line engineering map piece, a secondary disaster map piece and a seismic emergency map piece.
According to some embodiments of the invention, the administrative zoning table field comprises basic socioeconomic data comprising population, GDP.
According to some embodiments of the present invention, the data layer includes a database module for performing data editing and modification on the bottom layer data imported into the database; the database comprises earthquake damage matrix data and earthquake intensity influence field model data;
the supporting layer comprises an equipment access interface and a data access interface, the equipment access interface is respectively connected with the keyboard and the mouse through lines, and the data access interface is connected with the database module through lines;
the application layer comprises a building earthquake damage prediction visual display module, a life line engineering earthquake damage prediction visual display module, an earthquake secondary disaster evaluation visual display module, a set earthquake simulation evaluation module, a logic query and statistics module, a fuzzy query and statistics module, a space query and statistics module, a data management module and a system management module.
According to some embodiments of the invention, further comprising:
the earthquake damage prediction data combing module is used for combing the earthquake damage prediction data;
the earthquake damage prediction data combing module comprises:
the layer separation module is used for carrying out layer separation processing on the spatial data in the DWG format based on an AUTOCAD platform, and extracting DWG format data of project area water systems, contour lines, mountains, roads and buildings and project area boundary layers from the spatial data in the DWG format;
the layer format conversion module is used for carrying out format conversion processing on DWG format data of a project area water system, contour lines, mountains, roads and buildings on the basis of an ArcGIS platform to obtain SHAPE format data of the project area water system, contour lines, mountains, roads and buildings;
the first spatial analysis processing module is used for carrying out first spatial analysis processing on SHAPE format data of the project area water system, contour lines, peaks, roads and buildings and the project area boundary layer based on an ArcGIS platform to obtain a project area water system layer, a contour line layer, a peak layer, a road layer and a building layer;
the first error checking module is used for carrying out error checking processing on the project area water system layer, the contour line layer, the peak layer and the road layer based on an ArcGIS platform to obtain the water system layer, the contour line layer, the peak layer and the road layer subjected to error checking;
the annotation layer processing module is used for carrying out floor annotation processing on the annotation layer to obtain a layer containing floor information points;
the second spatial analysis processing module is respectively connected with the first spatial analysis processing module and the annotation layer processing module, and is used for performing second spatial analysis processing on the building layer obtained by the first spatial analysis processing module and the layer containing the floor information point map obtained from the annotation layer processing module to obtain the building layer containing the floor information;
the building code input module is used for manually inputting the building code on the building map layer containing the floor information and the survey map based on an ArcGIS platform to obtain the building map layer containing the code information;
and the second error checking module is used for carrying out error checking on the building layer containing the coding information based on the ArcGIS platform to obtain the building layer subjected to error checking.
According to some embodiments of the invention, the second error checking module is configured to check whether there are missed inputs, repeated inputs, and digital inputs in the input process when building codes on the investigation drawing are manually input;
the second error checking module comprises:
the missing output checking module is used for converting the investigation data table in the Excel format into a dbf format and adding the dbf format into Arcmap, connecting the code fields with the attribute table in the building map layer after error checking, recording the NULL values of all other fields which are not matched and connected, and finding out the missing output codes;
the repeated input checking module is used for performing Unique Values rendering setting on the building layer subjected to error checking in the Arcmap according to the coding field, counting the number of each code in the setting process by the system, and judging that the code is repeated if the counting result is greater than 1;
and the digital error transmission checking module is used for matching the building codes on the survey picture with the building picture layers containing the code information and subjected to error checking, and if the matching is unsuccessful, the digital error transmission is judged.
According to some embodiments of the invention, the data layer further comprises: the earthquake damage prediction data storage module is used for importing the bottom layer data into a database for storage management;
the earthquake damage prediction data storage module comprises:
the spatial data storage module is used for importing the processed spatial data into a data set of the supermap working space; the spatial data comprises at least one of a workplace boundary, a transit network, a road, a railway, a water system, a power plant, a gas station, a gas supply pipe network, a water supply pipe network, a station, a bridge, a communication building, a gas station, a chemical plant, a market, a hospital, a drilling hole, a geological partition, liquefaction and collapse, an important building, a sampling house, a fire station, a refuge place, a grain depot and a material depot;
the picture data storage module is used for storing the photos, the map pictures and other picture pictures in a file form; the photos comprise at least one of partial investigation building photos, working photos, electrical equipment photos, water plant photos, chemical plant photos, communication building photos, refuge photos and station photos; the map picture comprises at least one of a large ground structure partition map, a new structure partition map, a regional seismic structure map, a near-field seismic structure map, a regional historical middle-high seismic distribution map, a regional small seismic middle distribution map, a seismic partition map, a near-field region middle-seismic distribution map, a potential source partition map, a fourth system isopachrome and an engineering geological partition map; the other graph pictures comprise at least one of earthquake dynamic attenuation relation graphs and rescue system command flow charts;
and the text data warehousing module is used for warehousing earthquake damage prediction project introduction, secondary disaster risk evaluation result description and earthquake damage defense countermeasure description in a file form.
And the table data warehousing module is used for warehousing the attribute table, the earthquake catalogue, the regional earthquake intensity attenuation model, the earthquake damage matrix, the electric equipment earthquake damage prediction table, the power supply system function loss earthquake damage prediction table, the sampled house earthquake damage prediction table, the loss ratio and the cost table of each vector layer in a file form.
According to some embodiments of the invention, the application layer comprises:
the map making module is used for visually displaying the earthquake damage prediction result;
the data type of the mapping module is stored in a SuperMap spatial database engine SDB5 mode, and the data type comprises points, lines, surfaces and partial JPG data;
the mapping module comprises:
the thematic map color matching and setting module is used for setting dark gray as a target urban internal base map area, adopting 6 layers of multiple buffer areas around the dark gray, and gradually decreasing the color to pink according to red;
the longitude and latitude net adopts CAD data set distribution in 4 x 6 square format, the line color is matched with green and added with longitude and latitude marks; the water body is displayed in blue; the railway adopts standard display of an electronic map; the method comprises the following steps that a road is layered by adopting a main road and a secondary road, the main road and the secondary road are displayed in a grading mode according to scales of different scales, the main road is displayed on a map in a 1:1 window, and the main road and the secondary road are distinguished by different colors and widths after the map layer is enlarged;
the earthquake damage level setting module of the house and the lifeline engineering is used for displaying the damage conditions of various objects; classifying the earthquake damage grade into 5 grades and coloring according to the damage grade of buildings, power supply equipment and water supply network members in different intensity areas when the earthquake is influenced: wherein green color corresponds to substantially intact, light blue corresponds to slight damage, blue color corresponds to moderate damage, pink corresponds to severe damage, and red corresponds to damage displayed stage by stage.
According to some embodiments of the invention, the application layer further comprises:
setting an earthquake simulation evaluation module for realizing the simulation evaluation of earthquake damage prediction results and visually displaying the evaluation results by inputting the longitude and latitude, the magnitude and the fracture azimuth of the earthquake;
the set seismic simulation evaluation module comprises:
the seismic intensity attenuation model establishing module is used for establishing a seismic intensity attenuation model based on the elliptic model;
the mathematical formula of the selected elliptical model is as follows:
Ia=A1+A2M-A3lg(Ra+La)+ε (1)
Ib=B1+B2M-B3lg(Rb+Lb)+ε (2)
wherein, IaSeismic intensity in the major axis direction; a. the1、A2、A3Long axis regression coefficients; m is the magnitude of the shock; raThe major axis epicenter distance; l isaA near field saturation factor that is the attenuation of the minor axis direction intensity; i isbSeismic intensity in the minor axis direction; b is1、B2、B3Short axis regression coefficients; rbThe minor axis epicenter distance; l isbThe near-field saturation factor for the intensity attenuation in the minor axis direction can be determined by the principle of minimizing the variance in the regression process; epsilon is a random variable in regression analysis, the mean value is 0, and the standard deviation is sigma;
the method comprises the steps of obtaining equiseismic line data of historical earthquakes in a field area and a neighboring area, performing parameter fitting by adopting a multiple linear regression method based on matlab, obtaining parameters by utilizing least square regression, and finally obtaining an earthquake intensity attenuation model which accords with localization of the field area;
the calculation module is used for inputting set seismic parameters, calculating the influence field of the earthquake according to the established earthquake intensity attenuation model and generating an influence field vector map layer; the seismic parameters include: epicenter longitude, epicenter latitude, magnitude of earthquake and fracture square;
the new image layer establishing module is used for carrying out AND operation on the influence field vector image layer and the building image layer to generate a new polygon image layer, and the new polygon image layer integrates the attributes of the original two image layers;
and the damage degree and loss calculation module is used for performing superposition calculation on the new polygon map layer and the building damage matrix in the earthquake damage prediction result, counting damage and loss conditions of various buildings caused by earthquake, and performing visual display on the simulation loss conditions.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of a seismic damage prediction visualization evaluation system according to an embodiment of the present invention;
FIG. 2 is a flow chart of the combing of the earthquake damage prediction data according to one embodiment of the present invention;
FIG. 3 is a visual display of the earthquake damage prediction data according to one embodiment of the present invention;
FIG. 4 is a visual display of earthquake damage prediction and evaluation results according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating system data management functions according to an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
As shown in fig. 1, the present invention provides a visual evaluation system for earthquake damage prediction according to some embodiments, including:
the data layer is used for providing a storage management function of bottom data;
the supporting layer is connected with the data layer and is used for providing a read-write access interface for bottom data and an equipment access interface function;
and the application layer is connected with the support layer and is used for realizing the simulation evaluation of the earthquake damage prediction result and realizing the visual display of the evaluation result.
The working principle of the technical scheme is as follows: the data layer is used for providing a storage management function of bottom data; the supporting layer is connected with the data layer and is used for providing a read-write access interface for bottom data and an equipment access interface function; and the application layer is connected with the support layer and is used for realizing the simulation evaluation of the earthquake damage prediction result and realizing the visual display of the evaluation result.
The beneficial effects of the above technical scheme are that: according to the scheme, the city earthquake damage prediction basic database is established, the earthquake damage prediction visual evaluation system is developed, the effect on space data management is fully exerted, effective management and visual display of the earthquake damage prediction data are achieved, and therefore the city earthquake prevention and disaster reduction capacity is improved.
According to some embodiments of the invention, the underlying data comprises spatial data, map data, seismic hazard prediction data; wherein the content of the first and second substances,
the space data is stored in a space database;
the map drawing data is saved by an engineering file;
and table data in the earthquake damage prediction data is stored in a table file, and pictures and character data in the earthquake damage prediction data are stored in a file.
The working principle of the technical scheme is as follows: the bottom layer data comprises spatial data, map picture data and earthquake damage prediction data; the space data is stored in a space database; map drawing data is saved by engineering files; and table data in the earthquake damage prediction data is stored in a table file, and pictures and character data in the earthquake damage prediction data are stored in a file.
The beneficial effects of the technical scheme are as follows: according to the scheme, the bottom layer data covers 5 types of basic data such as space, pictures, maps, texts and tables, the abundant bottom layer data is more comprehensive and reliable in earthquake damage prediction and evaluation results, and effective assistance is provided for improving the earthquake-proof and disaster-reduction capacity of cities.
According to some embodiments of the invention, the spatial data comprises basic spatial data and professional spatial data; wherein the content of the first and second substances,
the basic spatial data is composed of 1: 10000 of basic geographic space data and social and economic data; the basic space data comprises at least one of administrative division table fields, main traffic, main water systems and place name data;
the professional space data comprises at least one of seismic table network layout, historical seismic catalogs, seismic lines of fixed-distance earthquakes and the like, a geodesic partition map, a new structure partition map, a regional seismic structure map, a near-field seismic structure map, various cell partition map pieces, a building distribution map, a life line engineering map piece, a secondary disaster map piece and a seismic emergency map piece.
The working principle of the technical scheme is as follows: the spatial data comprises basic spatial data and professional spatial data; the basic space data comprises at least one of administrative division table fields, main traffic, main water systems and place name data, and the basic space data is composed of the following components of 1: 10000 of basic geographic space data and social and economic data; the professional spatial data comprises at least one of seismic table net layout, historical seismic catalogs, seismic lines of fixed-distance earthquakes and the like, a geodesic structure partition map, a new structure partition map, a regional seismic structure map, a near-field seismic structure map, various cell partition maps, a building distribution map, a life line engineering map, a secondary disaster map and an earthquake emergency map.
The beneficial effects of the technical scheme are as follows: according to the scheme, the basic spatial data and the professional spatial data are comprehensively collected, so that the user can more comprehensively call and check the access data, and various requests of the user are met.
According to some embodiments of the invention, the administrative zoning table field comprises basic socioeconomic data comprising population, GDP.
The working principle of the technical scheme is as follows: the administrative zoning table field comprises basic socioeconomic data, including population, GDP.
The beneficial effects of the technical scheme are as follows: the acquisition of basic socioeconomic data makes the earthquake damage prediction result more effective.
According to some embodiments of the present invention, the data layer includes a database module for performing data editing and modification on the bottom layer data imported into the database; the database comprises earthquake damage matrix data and earthquake intensity influence field model data;
the supporting layer comprises an equipment access interface and a data access interface, the equipment access interface is respectively connected with the keyboard and the mouse through lines, and the data access interface is connected with the database module through lines;
the application layer comprises a building earthquake damage prediction visual display module, a life line engineering earthquake damage prediction visual display module, an earthquake secondary disaster evaluation visual display module, a set earthquake simulation evaluation module, a logic query and statistics module, a fuzzy query and statistics module, a space query and statistics module, a data management module and a system management module.
The working principle of the technical scheme is as follows: the data layer comprises a database module used for editing and modifying the bottom data imported into the database; the database comprises earthquake damage matrix data and earthquake intensity influence field model data; the support layer comprises a device access interface respectively connected with the keyboard and the mouse through lines and a device access interface connected with the database module through lines; the application layer comprises a building earthquake damage prediction visual display module, a life line engineering earthquake damage prediction visual display module, an earthquake secondary disaster evaluation visual display module, a set earthquake simulation evaluation module, a logic query and statistics module, a fuzzy query and statistics module, a space query and statistics module, a data management module and a system management module.
The beneficial effects of the technical scheme are as follows: according to the scheme, the city earthquake damage prediction visual evaluation system developed through the data layer, the support layer and the application layer fully plays a role in spatial data management, and realizes effective management and visual display of earthquake damage prediction data, so that the earthquake-proof and disaster-reduction capacity of a city is improved.
According to some embodiments of the invention, further comprising:
the earthquake damage prediction data combing module is used for combing the earthquake damage prediction data;
as shown in fig. 2, the earthquake damage prediction data combing module includes:
the layer separation module is used for carrying out layer separation processing on the spatial data in the DWG format based on an AUTOCAD platform, and extracting DWG format data of project area water systems, contour lines, mountains, roads and buildings and project area boundary layers from the spatial data in the DWG format;
the layer format conversion module is used for carrying out format conversion processing on DWG format data of a project area water system, contour lines, mountains, roads and buildings on the basis of an ArcGIS platform to obtain SHAPE format data of the project area water system, contour lines, mountains, roads and buildings;
the first spatial analysis processing module is used for carrying out first spatial analysis processing on SHAPE format data of the project area water system, contour lines, peaks, roads and buildings and the project area boundary layer based on an ArcGIS platform to obtain a project area water system layer, a contour line layer, a peak layer, a road layer and a building layer;
the first error checking module is used for carrying out error checking processing on the project area water system layer, the contour line layer, the peak layer and the road layer based on an ArcGIS platform to obtain the water system layer, the contour line layer, the peak layer and the road layer subjected to error checking;
the annotation layer processing module is used for carrying out floor annotation processing on the annotation layer to obtain a layer containing floor information points;
the second spatial analysis processing module is respectively connected with the first spatial analysis processing module and the annotation layer processing module, and is used for performing second spatial analysis processing on the building layer obtained by the first spatial analysis processing module and the layer containing the floor information point map obtained from the annotation layer processing module to obtain the building layer containing the floor information;
the building code input module is used for manually inputting the building code on the building map layer containing the floor information and the survey map based on an ArcGIS platform to obtain the building map layer containing the code information;
and the second error checking module is used for carrying out error checking on the building layer containing the coding information based on the ArcGIS platform to obtain the building layer subjected to error checking.
The working principle of the technical scheme is as follows: and (3) carrying out detailed data collection one by one according to a technical design route of the system, wherein the detailed data collection comprises project introduction, building earthquake damage prediction, life line engineering earthquake damage prediction and earthquake secondary disaster assessment. The processing aim is to process source data into a basic layer available in the Chuzhou geographic information system by using a GIS software platform. Separating SHAPE format layers of project area water systems, contour lines, mountains, roads, buildings and the like from the source data; and (4) forming a longitude and latitude coordinate from a UTM coordinate system, inputting the investigated attribute data into a building layer, and finally importing the data into a data set in a supermap working space. The original data format obtained by the urban earthquake damage prediction project is mostly DWG format of AutoCAD. The data format required by the invention is the data set of the hypergap, so that the layer data in the DWG format is converted into the SHAPE format. And then carrying out spatial analysis on the rotated layer and the project area boundary layer to obtain data of buildings, water systems and the like in the project area. And finally, giving attribute information such as codes, floors and the like to the converted building generation surface. And finally, importing the data into a hypergraph database and making a map.
The beneficial effects of the above technical scheme are that: according to the scheme, the source data before entering the database are sorted and sorted, so that the effective management of the database on the bottom data is facilitated, and the working efficiency of the system is improved.
According to some embodiments of the invention, the second error checking module is configured to check whether there are missed inputs, repeated inputs, and digital inputs in the input process when building codes on the investigation drawing are manually input;
the second error checking module comprises:
the missing output checking module is used for converting the investigation data table in the Excel format into a dbf format and adding the dbf format into Arcmap, connecting the code fields with the attribute table in the building map layer after error checking, recording the NULL values of all other fields which are not matched and connected, and finding out the missing output codes;
the repeated input checking module is used for performing Unique Values rendering setting on the building layer subjected to error checking in the Arcmap according to the coding field, counting the number of each code in the setting process by the system, and judging that the code is repeated if the counting result is greater than 1;
and the digital error transmission checking module is used for matching the building codes on the survey picture with the building picture layers containing the code information and subjected to error checking, and if the matching is unsuccessful, the digital error transmission is judged.
The working principle of the technical scheme is as follows: although the quality of the manual input part is monitored in the project, the information input, especially the code input, of nearly 4 tens of thousands of buildings inevitably generates errors. The input data in the invention is mainly the coding information of the building, and three modes of missing input, repeated input and digital input and error input during recording exist. For missing, it can be found by checking the encoding field from the data table, and the empty record without the encoding information is the missing record. However, the project is special, many buildings in the building map layer are not investigated, and the input of coded information is not needed, so that the record that the coded field in the attribute table is empty cannot be judged simply, and the record is lost. The specific method for detecting the missing transmission in the project is as follows: converting a survey data table (Excel format) into a dbf format, adding the dbf format into Arcmap, connecting (Join) with an attribute table in a building layer according to coding fields, and finding out codes which are not input according to the fact that all other field values of records which are not matched and connected are NULL; for error check of repeated input, the project utilizes a method of rendering a building layer to solve the problem, and the specific method is that Unique Values are rendered and set according to coding fields in the building layer in Arcmap, a system can count the number of each code in the setting process, and repeated codes are obtained when the statistical result is more than 1; for the digital error transmission check during recording, the specific method is to match the building code on the survey drawing with the building layer containing the code information and subjected to the error check, and if the matching is unsuccessful, the digital error transmission is judged.
The beneficial effects of the technical scheme are as follows: according to the scheme, the situations of missing input, repeated input and digital input mistake during input are detected when building codes on the manual input investigation drawing are input, so that the misdetection probability of earthquake damage prediction is effectively reduced, the accuracy of earthquake damage prediction is increased, and the reliability of earthquake damage prediction is improved.
According to some embodiments of the invention, the data layer further comprises: the earthquake damage prediction data storage module is used for importing the bottom layer data into a database for storage management;
the earthquake damage prediction data storage module comprises:
the spatial data storage module is used for importing the processed spatial data into a data set of the supermap working space; the spatial data comprises at least one of a workplace boundary, a transit network, a road, a railway, a water system, a power plant, a gas station, a gas supply pipe network, a water supply pipe network, a station, a bridge, a communication building, a gas station, a chemical plant, a market, a hospital, a drilling hole, a geological partition, liquefaction and collapse, an important building, a sampling house, a fire station, a refuge place, a grain depot and a material depot;
the picture data storage module is used for storing the photos, the map pictures and other picture pictures in a file form; the photos comprise at least one of partial investigation building photos, working photos, electrical equipment photos, water plant photos, chemical plant photos, communication building photos, refuge photos and station photos; the map picture comprises at least one of a large ground structure partition map, a new structure partition map, a regional seismic structure map, a near-field seismic structure map, a regional historical middle-high seismic distribution map, a regional small seismic middle distribution map, a seismic partition map, a near-field region middle-seismic distribution map, a potential source partition map, a fourth system isopachrome and an engineering geological partition map; the other graph pictures comprise at least one of earthquake dynamic attenuation relation graphs and rescue system command flow charts;
and the text data warehousing module is used for warehousing earthquake damage prediction project introduction, secondary disaster risk evaluation result description and earthquake damage defense countermeasure description in a file form.
And the table data warehousing module is used for warehousing the attribute table, the earthquake catalogue, the regional earthquake intensity attenuation model, the earthquake damage matrix, the electric equipment earthquake damage prediction table, the power supply system function loss earthquake damage prediction table, the sampled house earthquake damage prediction table, the loss ratio and the cost table of each vector layer in a file form.
The working principle of the technical scheme is as follows: the earthquake damage prediction data storage module is used for importing the bottom layer data into a database for storage management; the earthquake damage prediction data storage module comprises: the spatial data storage module is used for importing the processed spatial data into a data set of the supermap working space; the spatial data comprises at least one of a workplace boundary, a transit network, a road, a railway, a water system, a power plant, a gas station, a gas supply pipe network, a water supply pipe network, a station, a bridge, a communication building, a gas station, a chemical plant, a market, a hospital, a drilling hole, a geological partition, liquefaction and collapse, an important building, a sampling house, a fire station, a refuge place, a grain depot and a material depot; the picture data storage module is used for storing the photos, the map pictures and other picture pictures in a file form; the photos comprise at least one of partial investigation building photos, working photos, electrical equipment photos, water plant photos, chemical plant photos, communication building photos, refuge photos and station photos; the map picture comprises at least one of a large ground structure partition map, a new structure partition map, a regional seismic structure map, a near-field seismic structure map, a regional historical middle-high seismic distribution map, a regional small seismic middle distribution map, a seismic partition map, a near-field region middle-seismic distribution map, a potential source partition map, a fourth system isopachrome and an engineering geological partition map; the other graph pictures comprise at least one of earthquake dynamic attenuation relation graphs and rescue system command flow charts; and the text data warehousing module is used for warehousing earthquake damage prediction project introduction, secondary disaster risk evaluation result description and earthquake damage defense countermeasure description in a file form. And the table data warehousing module is used for warehousing the attribute table, the earthquake catalogue, the regional earthquake intensity attenuation model, the earthquake damage matrix, the electric equipment earthquake damage prediction table, the power supply system function loss earthquake damage prediction table, the sampled house earthquake damage prediction table, the loss ratio and the cost table of each vector layer in a file form.
The beneficial effects of the technical scheme are as follows: according to the earthquake damage prediction method and device, the spatial data, the picture data, the text data and the table data are classified and input into the earthquake damage prediction basic database, the integrity of the earthquake damage prediction basic database object is guaranteed, the function of storing and managing the bottom data is embodied, and convenience is brought to query, retrieval, analysis and application.
According to some embodiments of the invention, the application layer comprises:
the map making module is used for visually displaying the earthquake damage prediction result;
the data type of the mapping module is stored in a SuperMap spatial database engine SDB5 mode, and the data type comprises points, lines, surfaces and partial JPG data;
the mapping module comprises:
the thematic map color matching and setting module is used for setting dark gray as a target urban internal base map area, adopting 6 layers of multiple buffer areas around the dark gray, and gradually decreasing the color to pink according to red;
the longitude and latitude net adopts CAD data set distribution in 4 x 6 square format, the line color is matched with green and added with longitude and latitude marks; the water body is displayed in blue; the railway adopts standard display of an electronic map; the method comprises the following steps that a road is layered by adopting a main road and a secondary road, the main road and the secondary road are displayed in a grading mode according to scales of different scales, the main road is displayed on a map in a 1:1 window, and the main road and the secondary road are distinguished by different colors and widths after the map layer is enlarged;
the earthquake damage level setting module of the house and the lifeline engineering is used for displaying the damage conditions of various objects; classifying the earthquake damage grade into 5 grades and coloring according to the damage grade of buildings, power supply equipment and water supply network members in different intensity areas when the earthquake is influenced: wherein green color corresponds to substantially intact, light blue corresponds to slight damage, blue color corresponds to moderate damage, pink corresponds to severe damage, and red corresponds to damage displayed stage by stage.
The working principle of the technical scheme is as follows: the map making module is used for visually displaying the earthquake damage prediction result, and the display effect is as shown in fig. 3; the data type of the mapping module is stored in a SuperMap spatial database engine SDB5 mode, and the data type comprises points, lines, surfaces and partial JPG data; the mapping module comprises: the thematic map color matching and setting module is used for setting dark gray as a target urban internal base map area, adopting 6 layers of multiple buffer areas around the dark gray, and gradually decreasing the color to pink according to red; the longitude and latitude net adopts CAD data set distribution in 4 x 6 square format, the line color is matched with green and added with longitude and latitude marks; the water body is displayed in blue; the railway adopts standard display of an electronic map; the method comprises the following steps that a road is layered by adopting a main road and a secondary road, the main road and the secondary road are displayed in a grading mode according to scales of different scales, the main road is displayed on a map in a 1:1 window, and the main road and the secondary road are distinguished by different colors and widths after the map layer is enlarged; the earthquake damage level setting module of the house and the lifeline engineering is used for displaying the damage conditions of various objects; classifying the earthquake damage grade into 5 grades and coloring according to the damage grade of buildings, power supply equipment and water supply network members in different intensity areas when the earthquake is influenced: wherein green color corresponds to substantially intact, light blue corresponds to slight damage, blue color corresponds to moderate damage, pink corresponds to severe damage, and red corresponds to damage displayed stage by stage.
The beneficial effects of the above technical scheme are that: when the map is manufactured, the display contents under different display scales are graded, and buildings, power supply equipment and water supply networks in different intensity areas are divided into different grades according to different damage conditions, and corresponding colors are defined, so that visual display of earthquake damage prediction results is more visual and comprehensive.
According to some embodiments of the invention, the application layer further comprises:
setting an earthquake simulation evaluation module for realizing the simulation evaluation of earthquake damage prediction results and visually displaying the evaluation results by inputting the longitude and latitude, the magnitude and the fracture azimuth of the earthquake;
the set seismic simulation evaluation module comprises:
the seismic intensity attenuation model establishing module is used for establishing a seismic intensity attenuation model based on the elliptic model;
the mathematical formula of the selected elliptical model is as follows:
Ia=A1+A2M-A3lg(Ra+La)+ε (1)
Ib=B1+B2M-B3lg(Rb+Lb)+ε (2)
wherein, IaSeismic intensity in the major axis direction; a. the1、A2、A3Long axis regression coefficients; m is the magnitude of the shock; raThe major axis epicenter distance; l isaA near field saturation factor that is the attenuation of the minor axis direction intensity; i isbSeismic intensity in the minor axis direction; b is1、B2、B3Short axis regression coefficients; rbThe minor axis epicenter distance; l isbThe near-field saturation factor for the intensity attenuation in the minor axis direction can be determined by the principle of minimizing the variance in the regression process; epsilon is a random variable in regression analysis, the mean value is 0, and the standard deviation is sigma;
the method comprises the steps of obtaining equiseismic line data of historical earthquakes in a field area and a neighboring area, performing parameter fitting by adopting a multiple linear regression method based on matlab, obtaining parameters by utilizing least square regression, and finally obtaining an earthquake intensity attenuation model which accords with localization of the field area;
the calculation module is used for inputting set seismic parameters, calculating the influence field of the earthquake according to the established earthquake intensity attenuation model and generating an influence field vector map layer; the seismic parameters include: epicenter longitude, epicenter latitude, magnitude of earthquake and fracture square;
the new image layer establishing module is used for carrying out AND operation on the influence field vector image layer and the building image layer to generate a new polygon image layer, and the new polygon image layer integrates the attributes of the original two image layers;
and the damage degree and loss calculation module is used for performing superposition calculation on the new polygon map layer and the building damage matrix in the earthquake damage prediction result, counting damage and loss conditions of various buildings caused by earthquake, and performing visual display on the simulation loss conditions.
The working principle of the technical scheme is as follows: setting an earthquake simulation evaluation module for realizing the simulation evaluation of earthquake damage prediction results and visually displaying the evaluation results by inputting the longitude and latitude, the magnitude and the fracture azimuth of the earthquake; the set seismic simulation evaluation module comprises: the seismic intensity attenuation model establishing module is used for establishing a seismic intensity attenuation model based on the elliptic model; then, fitting the parameters by using the equi-seismic line data of the historical earthquakes in the data layer field area and the neighbor area through a multivariate linear regression method in math software matlab, obtaining the parameters by using least square regression, and finally obtaining an earthquake intensity attenuation relation model which accords with the localization of the field area; setting seismic parameters (including epicenter longitude, epicenter latitude, magnitude of seismic magnitude, seismic source depth and fracture direction) by inputting, calculating the influence field of the earthquake according to the intensity attenuation model established in the formulas (1) and (2) and generating an influence field vector layer, then superposing the generated influence field layer and/or a building layer to generate a new polygon layer, the result divides the original polygon element into new elements, the new elements integrate the attributes of the original two image layers, and then carry out superposition calculation according to the building damage matrix in the earthquake damage prediction result to count the damage and loss conditions of various buildings caused by the earthquake, comprises the statistics of different damage degrees of different types of buildings according to the number of buildings and the area, and finally, realizing the visual display of the simulation loss condition at the application layer, wherein the visual effect is shown in fig. 4. The loss ratio and cost of the building used in calculating the loss can be adjusted by manual input according to actual conditions.
The beneficial effects of the above technical scheme are that: according to the scheme, when the earthquake intensity attenuation model is selected as the elliptical model, the general applicability of the target field area is considered, the earthquake is simulated by inputting the set parameters, the earthquake damage prediction evaluation result is produced, the visual display of the loss condition is finally realized on the application layer, and the auxiliary effect is achieved in the earthquake prevention and disaster reduction fields such as earthquake safety evaluation and the development of post-earthquake rescue work.
The system management function visualization module is shown in fig. 5, and mainly includes opening, editing, and the like of documents, layers, and attribute tables; the open file mainly opens various files registered to the system, including document files, layer files and table (attribute table) files; the data editing can edit document information, table information and spatial layer information, and is mainly used for updating and maintaining spatial information, including operations of adding, modifying and deleting points, lines (straight lines, multi-segment lines and any lines), surfaces, modifying attribute information and the like.
According to some embodiments of the invention, the application layer further comprises:
the earthquake damage prediction visualization function implementation module mainly inquires display contents and comprises: the method comprises the steps of earthquake damage prediction project introduction, building earthquake damage prediction, life line engineering earthquake damage prediction and earthquake secondary disaster assessment.
The building earthquake damage prediction comprises the following steps:
(1) house distribution diagram
(2) Earthquake damage prediction list of key buildings
(3) Earthquake damage prediction list of sampled houses
(4) VI, VII, VIII and IX degree earthquake damage matrix for displaying various houses
(5) Displaying the earthquake damage prediction diagram of the house under VI, VII, VIII and IX degrees
The lifeline engineering seismograph prediction comprises:
(1) important station of power supply system
(2) Prediction result of earthquake damage of main buildings (structures) of power supply system
(3) Prediction result of earthquake damage of important electrical equipment of power supply system
(4) Prediction result of functional loss earthquake damage of power supply system under different fortification intensities
(5) Network diagram of water supply pipe network
(6) Prediction result of earthquake damage of main buildings (structures) of water supply system
(7) And (5) setting earthquake damage prediction diagrams of water supply pipe networks under different fortification intensities.
(8) Network diagram of gas supply pipe network
(9) Prediction result of earthquake damage of main buildings (structures) of gas supply system
(10) And (4) earthquake damage prediction diagrams of the air supply pipe network under different fortification intensity.
(11) Traffic system displaying urban road distribution
(12) Prediction result of earthquake damage of main buildings (structures) of traffic system
(13) Earthquake damage prediction maps of traffic networks under different fortification intensities.
(14) Important station of communication hub
(15) Communication system main building earthquake damage prediction result
(16) Earthquake damage prediction result of important communication equipment in communication system
The earthquake secondary disaster assessment comprises the following steps:
(1) position distribution map of urban village and old house and fire hazard assessment result
(2) Position distribution diagram of gas reservoir and liquefied gas storage and distribution station and fire hazard assessment result
(3) Position distribution diagram of oil depot and gas station and fire risk assessment result
(4) Position distribution diagram of production, operation and storage points of flammable and explosive chemicals and fire hazard assessment result
(5) Position distribution map of large mall with dense personnel and fire hazard assessment result
(6) Position distribution map of large reservoir and river and flood risk assessment result
(7) Toxic gas leakage danger source position distribution map and danger evaluation result
(8) A radioactive hazard source position distribution diagram and a hazard assessment result.
The other functional modules include:
the thematic map display is used for systematically calling the thematic map to realize the basic functions of the GIS, such as amplification, reduction, roaming and information inquiry;
the map information is displayed in a grading way, and the map information is used for grading the display contents under different display scales by the system, for example, when a small scale is displayed, only the main road elements are displayed, when a secondary road is enlarged to a certain scale, the secondary road elements are displayed, and when the secondary road elements are also enlarged to a certain scale, the marks of buildings are also displayed;
logic query and statistics are used for querying after a user inputs query information with certain conditions, and the function of querying again from results is realized;
fuzzy query and statistics, which are used for querying attribute information containing keywords by inputting the keywords to be queried, and further querying corresponding space objects;
chart statistics is used for carrying out chart statistics on buildings in the project area according to the structure types and the purposes, the statistics of the area of the buildings and the number of the buildings can be realized, and the statistics is expressed in a columnar body or pie chart mode;
the picture hyperlink is used for popping up an entity photo expressed by the object or double-clicking a table record by clicking a space object by a user and displaying the entity photo expressed by the corresponding record;
and the space object flickers for displaying the flickered inquired space object so as to facilitate the user to quickly locate the inquired object in the visual field.
The working principle of the technical scheme is as follows: the earthquake damage prediction visualization function implementation module mainly inquires display contents and comprises: the method comprises the steps of earthquake damage prediction project introduction, building earthquake damage prediction, life line engineering earthquake damage prediction and earthquake secondary disaster assessment. The other functional modules include: the thematic map display is used for systematically calling the thematic map to realize the basic functions of the GIS, such as amplification, reduction, roaming and information inquiry; the map information is displayed in a grading way, and the map information is used for grading the display contents under different display scales by the system, for example, when a small scale is displayed, only the main road elements are displayed, when a secondary road is enlarged to a certain scale, the secondary road elements are displayed, and when the secondary road elements are also enlarged to a certain scale, the marks of buildings are also displayed; logic query and statistics are used for querying after a user inputs query information with certain conditions, and the function of querying again from results is realized; fuzzy query and statistics, which are used for querying attribute information containing keywords by inputting the keywords to be queried, and further querying corresponding space objects; chart statistics is used for carrying out chart statistics on buildings in the project area according to the structure types and the purposes, the statistics of the area of the buildings and the number of the buildings can be realized, and the statistics is expressed in a columnar body or pie chart mode; the picture hyperlink is used for popping up an entity photo expressed by the object or double-clicking a table record by clicking a space object by a user and displaying the entity photo expressed by the corresponding record; and the space object flickers for displaying the flickered inquired space object so as to facilitate the user to quickly locate the inquired object in the visual field.
The beneficial effects of the above technical scheme are that: the earthquake damage prediction visualization function realization module and other function modules designed by the scheme have more complete contents and have positive effects on defense before earthquake and guidance of earthquake damage rescue work.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A visual earthquake damage prediction evaluation system is characterized by comprising:
the data layer is used for providing a storage management function of bottom data;
the supporting layer is connected with the data layer and is used for providing a read-write access interface for bottom data and an equipment access interface function;
and the application layer is connected with the support layer and is used for realizing the simulation evaluation of the earthquake damage prediction result and visually displaying the evaluation result.
2. The visual assessment system of earthquake damage prediction according to claim 1, wherein said underlying data comprises spatial data, map data, earthquake damage prediction data; wherein the content of the first and second substances,
the space data is stored in a space database;
the map drawing data is saved by an engineering file;
and table data in the earthquake damage prediction data is stored in a table file, and pictures and character data in the earthquake damage prediction data are stored in a file.
3. The visual evaluation system of earthquake damage prediction according to claim 2, wherein the spatial data comprises basic spatial data and professional spatial data; wherein the content of the first and second substances,
the basic spatial data is composed of 1: 10000 of basic geographic space data and social and economic data; the basic space data comprises at least one of administrative division table fields, main traffic, main water systems and place name data;
the professional space data comprises at least one of seismic table network layout, historical seismic catalogs, seismic lines of fixed-distance earthquakes and the like, a geodesic partition map, a new structure partition map, a regional seismic structure map, a near-field seismic structure map, various cell partition map pieces, a building distribution map, a life line engineering map piece, a secondary disaster map piece and a seismic emergency map piece.
4. The visual evaluation system of earthquake damage prediction according to claim 3, wherein said administrative division table field comprises basic socioeconomic data including population, GDP.
5. The visual evaluation system for earthquake damage prediction according to claim 1, wherein the data layer comprises a database module for editing and modifying the data of the bottom layer imported into the database; the database comprises earthquake damage matrix data and earthquake intensity influence field model data;
the supporting layer comprises an equipment access interface and a data access interface, the equipment access interface is respectively connected with the keyboard and the mouse through lines, and the data access interface is connected with the database module through lines;
the application layer comprises a building earthquake damage prediction visual display module, a life line engineering earthquake damage prediction visual display module, an earthquake secondary disaster evaluation visual display module, a set earthquake simulation evaluation module, a logic query and statistics module, a fuzzy query and statistics module, a space query and statistics module, a data management module and a system management module.
6. The visual evaluation system of the earthquake damage prediction as set forth in claim 1, further comprising:
the earthquake damage prediction data combing module is used for combing the earthquake damage prediction data;
the earthquake damage prediction data combing module comprises:
the layer separation module is used for carrying out layer separation processing on the spatial data in the DWG format based on an AUTOCAD platform, and extracting DWG format data of project area water systems, contour lines, mountains, roads and buildings and project area boundary layers from the spatial data in the DWG format;
the layer format conversion module is used for carrying out format conversion processing on DWG format data of a project area water system, contour lines, mountains, roads and buildings on the basis of an ArcGIS platform to obtain SHAPE format data of the project area water system, contour lines, mountains, roads and buildings;
the first spatial analysis processing module is used for carrying out first spatial analysis processing on SHAPE format data of the project area water system, contour lines, peaks, roads and buildings and the project area boundary layer based on an ArcGIS platform to obtain a project area water system layer, a contour line layer, a peak layer, a road layer and a building layer;
the first error checking module is used for carrying out error checking processing on the project area water system layer, the contour line layer, the peak layer and the road layer based on an ArcGIS platform to obtain the water system layer, the contour line layer, the peak layer and the road layer subjected to error checking;
the annotation layer processing module is used for carrying out floor annotation processing on the annotation layer to obtain a layer containing floor information points;
the second spatial analysis processing module is respectively connected with the first spatial analysis processing module and the annotation layer processing module, and is used for performing second spatial analysis processing on the building layer obtained by the first spatial analysis processing module and the layer containing the floor information point map obtained from the annotation layer processing module to obtain the building layer containing the floor information;
the building code input module is used for manually inputting the building code on the building map layer containing the floor information and the survey map based on an ArcGIS platform to obtain the building map layer containing the code information;
and the second error checking module is used for carrying out error checking on the building layer containing the coding information based on the ArcGIS platform to obtain the building layer subjected to error checking.
7. The visual assessment system for earthquake damage prediction according to claim 6, wherein said second error checking module is used for checking if there are situations of missing input, repeated input and digital input error during input when building codes on the investigation drawing are manually input;
the second error checking module comprises:
the missing output checking module is used for converting the investigation data table in the Excel format into a dbf format and adding the dbf format into Arcmap, connecting the code fields with the attribute table in the building map layer after error checking, recording the NULL values of all other fields which are not matched and connected, and finding out the missing output codes;
the repeated input checking module is used for performing Unique Values rendering setting on the building layer subjected to error checking in the Arcmap according to the coding field, counting the number of each code in the setting process by the system, and judging that the code is repeated if the counting result is greater than 1;
and the digital error transmission checking module is used for matching the building codes on the survey picture with the building picture layers containing the code information and subjected to error checking, and if the matching is unsuccessful, the digital error transmission is judged.
8. The visual evaluation system of seismograph prediction as claimed in claim 1, wherein said data layer further comprises: the earthquake damage prediction data storage module is used for importing the bottom layer data into a database for storage management;
the earthquake damage prediction data storage module comprises:
the spatial data storage module is used for importing the processed spatial data into a data set of the supermap working space; the spatial data comprises at least one of a workplace boundary, a transit network, a road, a railway, a water system, a power plant, a gas station, a gas supply pipe network, a water supply pipe network, a station, a bridge, a communication building, a gas station, a chemical plant, a market, a hospital, a drilling hole, a geological partition, liquefaction and collapse, an important building, a sampling house, a fire station, a refuge place, a grain depot and a material depot;
the picture data storage module is used for storing the photos, the map pictures and other picture pictures in a file form; the photos comprise at least one of partial investigation building photos, working photos, electrical equipment photos, water plant photos, chemical plant photos, communication building photos, refuge photos and station photos; the map picture comprises at least one of a large ground structure partition map, a new structure partition map, a regional seismic structure map, a near-field seismic structure map, a regional historical middle-high seismic distribution map, a regional small seismic middle distribution map, a seismic partition map, a near-field region middle-seismic distribution map, a potential source partition map, a fourth system isopachrome and an engineering geological partition map; the other graph pictures comprise at least one of earthquake dynamic attenuation relation graphs and rescue system command flow charts;
the text data warehousing module is used for warehousing earthquake damage prediction project introduction, secondary disaster risk evaluation result description and earthquake damage defense countermeasure description in a file form;
and the table data warehousing module is used for warehousing the attribute table, the earthquake catalogue, the regional earthquake intensity attenuation model, the earthquake damage matrix, the electric equipment earthquake damage prediction table, the power supply system function loss earthquake damage prediction table, the sampled house earthquake damage prediction table, the loss ratio and the cost table of each vector layer in a file form.
9. The visual evaluation system of earthquake damage prediction according to claim 1, wherein said application layer comprises:
the map making module is used for visually displaying the earthquake damage prediction result;
the data type of the mapping module is stored in a SuperMap spatial database engine SDB5 mode, and the data type comprises points, lines, surfaces and partial JPG data;
the mapping module comprises:
the thematic map color matching and setting module is used for setting dark gray as a target urban internal base map area, adopting 6 layers of multiple buffer areas around the dark gray, and gradually decreasing the color to pink according to red;
the longitude and latitude net adopts CAD data set distribution in 4 x 6 square format, the line color is matched with green and added with longitude and latitude marks; the water body is displayed in blue; the railway adopts standard display of an electronic map; the method comprises the following steps that a road is layered by adopting a main road and a secondary road, the main road and the secondary road are displayed in a grading mode according to scales of different scales, the main road is displayed on a map in a 1:1 window, and the main road and the secondary road are distinguished by different colors and widths after the map layer is enlarged;
the earthquake damage level setting module of the house and the lifeline engineering is used for displaying the damage conditions of various objects; classifying the earthquake damage grade into 5 grades and coloring according to the damage grade of buildings, power supply equipment and water supply network members in different intensity areas when the earthquake is influenced: wherein green color corresponds to substantially intact, light blue corresponds to slight damage, blue color corresponds to moderate damage, pink corresponds to severe damage, and red corresponds to damage displayed stage by stage.
10. The visual evaluation system of seismograph prediction as claimed in claim 1, wherein said application layer further comprises:
setting an earthquake simulation evaluation module for realizing the simulation evaluation of earthquake damage prediction results and visually displaying the evaluation results by inputting the longitude and latitude, the magnitude and the fracture azimuth of the earthquake;
the set seismic simulation evaluation module comprises:
the seismic intensity attenuation model establishing module is used for establishing a seismic intensity attenuation model based on the elliptic model;
the mathematical formula of the selected elliptical model is as follows:
Ia=A1+A2M-A3lg(Ra+La)+ε (1)
Ib=B1+B2M-B3lg(Rb+Lb)+ε (2)
wherein, IaSeismic intensity in the major axis direction; a. the1、A2、A3Long axis regression coefficients; m is the magnitude of the shock; raThe major axis epicenter distance; l isaA near field saturation factor that is the attenuation of the minor axis direction intensity; i isbSeismic intensity in the minor axis direction; b is1、B2、B3Short axis regression coefficients; rbThe minor axis epicenter distance; l isbThe near-field saturation factor for the intensity attenuation in the minor axis direction can be determined by the principle of minimizing the variance in the regression process; epsilon is a random variable in regression analysis, the mean value is 0, and the standard deviation is sigma;
the method comprises the steps of obtaining equiseismic line data of historical earthquakes in a field area and a neighboring area, performing parameter fitting by adopting a multiple linear regression method based on matlab, obtaining parameters by utilizing least square regression, and finally obtaining an earthquake intensity attenuation model which accords with localization of the field area;
the calculation module is used for inputting set seismic parameters, calculating the influence field of the earthquake according to the established earthquake intensity attenuation model and generating an influence field vector map layer; the seismic parameters include: epicenter longitude, epicenter latitude, magnitude of earthquake and fracture square;
the new image layer establishing module is used for carrying out AND operation on the influence field vector image layer and the building image layer to generate a new polygon image layer, and the new polygon image layer integrates the attributes of the original two image layers;
and the damage degree and loss calculation module is used for performing superposition calculation on the new polygon map layer and the building damage matrix in the earthquake damage prediction result, counting damage and loss conditions of various buildings caused by earthquake, and performing visual display on the simulation loss conditions.
CN202111312885.5A 2021-11-08 2021-11-08 Earthquake damage prediction visual evaluation system Pending CN113987661A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111312885.5A CN113987661A (en) 2021-11-08 2021-11-08 Earthquake damage prediction visual evaluation system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111312885.5A CN113987661A (en) 2021-11-08 2021-11-08 Earthquake damage prediction visual evaluation system

Publications (1)

Publication Number Publication Date
CN113987661A true CN113987661A (en) 2022-01-28

Family

ID=79747095

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111312885.5A Pending CN113987661A (en) 2021-11-08 2021-11-08 Earthquake damage prediction visual evaluation system

Country Status (1)

Country Link
CN (1) CN113987661A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114860796A (en) * 2022-03-09 2022-08-05 乐山师范学院 Earthquake emergency mapping system, method and device based on big data and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114860796A (en) * 2022-03-09 2022-08-05 乐山师范学院 Earthquake emergency mapping system, method and device based on big data and storage medium

Similar Documents

Publication Publication Date Title
CN111274264A (en) Real-time transmission analysis system for water and soil detection indexes of mine geological environment
CN111221867B (en) Protective building information management system
Mierzejowska et al. The characteristics of geographical information systems in terms of their current use
Qi et al. “Internet+” approach to mapping exposure and seismic vulnerability of buildings in a context of rapid socioeconomic growth: a case study in Tangshan, China
CN108510566B (en) Generation method and system of emergency thematic map
Sleeter et al. Estimating daytime and nighttime population density for coastal communities in Oregon
CN113987661A (en) Earthquake damage prediction visual evaluation system
Johnson Geographic information systems (GIS) and mapping: practices and standards
Douglas Environmental GIS Applications to Industrial Facilities
Akeh et al. The role of geographic information system in urban land administration in Nigeria
Issa et al. Modeling the environment with remote sensing and GIS: applied case studies from diverse locations of the United Arab Emirates (UAE)
Borcherdt et al. Applications of geographic information system technology (GIS) to seismic zonation and earthquake loss estimation
Hong et al. Using 3D WebGIS to support the disaster simulation, management and analysis–examples of tsunami and flood
Zhan et al. Research and practice on disaster prevention planning in villages based on planning support system overview: Potential public policies on spatial planning for sustainable urban forms a Case Study
Iyengar Application of geographical information systems
CN113780718B (en) GIS-based digital pipe network system for water service industry
McBride et al. The Louisiana coastal geographic information system network (LCGISN): access to spatial data
Miller The York archaeological assessment: computer modelling of urban deposits in the City of York
Canter et al. Geographic information systems: A tool for strategic ground water quality management
Cowen Unit 01-What is GIS?
CN114399210A (en) Geological disaster emergency management and decision making system, method and readable storage medium
Al-garni Urban photogrammetric data base for multi-purpose cadastral-based information systems: the Riyadh city case
Yousif et al. Land Use Geodatabase of Baghdad City Creation Using Geographic Information System Technology
Akwaowo et al. Spatial Mapping of Polling Units using Open-Source Software
Omol-Lecturer DEVELOPED BY

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination