CN111950994B - Geological environment and monitoring information management method, system, terminal and storage medium - Google Patents
Geological environment and monitoring information management method, system, terminal and storage medium Download PDFInfo
- Publication number
- CN111950994B CN111950994B CN202010917332.1A CN202010917332A CN111950994B CN 111950994 B CN111950994 B CN 111950994B CN 202010917332 A CN202010917332 A CN 202010917332A CN 111950994 B CN111950994 B CN 111950994B
- Authority
- CN
- China
- Prior art keywords
- hidden danger
- information
- points
- danger point
- point
- 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.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 70
- 238000007726 management method Methods 0.000 title claims abstract description 56
- 238000003860 storage Methods 0.000 title claims description 10
- 238000000034 method Methods 0.000 claims abstract description 52
- 238000012545 processing Methods 0.000 claims abstract description 45
- 238000009826 distribution Methods 0.000 claims abstract description 41
- 238000001514 detection method Methods 0.000 claims abstract description 40
- 238000011835 investigation Methods 0.000 claims abstract description 37
- 238000012216 screening Methods 0.000 claims abstract description 7
- 230000002159 abnormal effect Effects 0.000 claims description 46
- 230000008569 process Effects 0.000 claims description 40
- 230000015572 biosynthetic process Effects 0.000 claims description 16
- 230000008030 elimination Effects 0.000 claims description 15
- 238000003379 elimination reaction Methods 0.000 claims description 15
- 238000011156 evaluation Methods 0.000 claims description 15
- 238000004364 calculation method Methods 0.000 claims description 14
- 238000010586 diagram Methods 0.000 claims description 14
- 230000002265 prevention Effects 0.000 claims description 11
- 238000005070 sampling Methods 0.000 claims description 11
- 238000007689 inspection Methods 0.000 claims description 10
- 238000003491 array Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 5
- 230000007123 defense Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 7
- 235000019994 cava Nutrition 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 230000001960 triggered effect Effects 0.000 description 6
- 230000000903 blocking effect Effects 0.000 description 5
- 230000004069 differentiation Effects 0.000 description 5
- 230000009471 action Effects 0.000 description 4
- 238000012795 verification Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000008676 import Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 239000011435 rock Substances 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 244000025254 Cannabis sativa Species 0.000 description 1
- 238000012550 audit Methods 0.000 description 1
- 238000009412 basement excavation Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000001983 electron spin resonance imaging Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000013467 fragmentation Methods 0.000 description 1
- 238000006062 fragmentation reaction Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 239000002243 precursor Substances 0.000 description 1
- 230000003014 reinforcing effect Effects 0.000 description 1
- 238000013468 resource allocation Methods 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000013517 stratification Methods 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to a geological environment and monitoring information management method, which comprises the following steps of obtaining investigation and detection information of new hidden danger points; executing hidden danger point judgment operation, and screening and inputting newly added hidden danger points according to investigation detection information of the new hidden danger points; inputting newly-added hidden danger points and integrating the hidden danger points with survey detection information of original hidden danger points to generate hidden danger point information and form a hidden danger point distribution map; determining hidden danger points needing to be processed, determining a processing scheme of the hidden danger points according to the hidden danger point information, and performing monitoring operation on the hidden danger points which are not processed temporarily; acquiring reporting information when acquiring early warning information corresponding to newly increased hidden danger points which are not processed temporarily, importing the reporting information to a hidden danger point distribution map, and determining an emergency processing scheme according to the hidden danger point distribution map after importing the reporting information; and collecting and determining the processing result of the hidden danger point, and verifying and canceling or re-inputting the information of the hidden danger point. The method has the effects of dynamically monitoring the geological environment and orderly managing the geological hidden danger points.
Description
Technical Field
The present application relates to the field of information management of geological environment, and in particular, to a method, a system, a terminal, and a storage medium for managing geological environment and monitoring information.
Background
The geological environment is an extremely important component in the human environment, mainly refers to the integration of geological background, geological action and generation space thereof which are closely related to the survival and development of people, and is also called as a geological environment system.
At present, geological disasters refer to geological effects or geological phenomena which are formed under the action of natural or human factors and can cause losses to human life and property and damage to the environment.
Legal regulations such as the regulations of geological disaster prevention and control, the regulations of geological environment management in Guangdong province, the regulations of geological disaster prevention and control management in Shenzhen City, and the like have clear requirements and regulations on geological environment and geological disaster prevention and control management, but the management is carried out by levels, regions and functions, different management modes are arranged among different levels, different management departments or units are arranged in different regions, and different execution conditions are arranged in different functional units.
In view of the above related technologies, the applicant believes that the defects that in a geological environment, particularly, the prevention and control management of geological disasters presents a fragmentation management mode and the orderly management of geological hidden danger points is difficult exist.
Disclosure of Invention
In order to realize orderly management of geological environment and monitoring information, particularly effective management and orderly treatment of optimized geological hidden danger points, the application provides a geological environment and monitoring information management method.
The application provides a geological environment and monitoring information management system adopts following technical scheme: comprises the following steps of (a) carrying out,
acquiring investigation detection information of the new hidden danger points;
executing hidden danger point judgment operation, and screening and inputting newly added hidden danger points according to investigation detection information of the new hidden danger points;
inputting newly-added hidden danger points, integrating the newly-added hidden danger points with investigation detection information of original hidden danger points to generate hidden danger point information, and importing map data to form a hidden danger point distribution map;
determining hidden danger points needing to be processed, determining a processing scheme of the hidden danger points according to the hidden danger point information, and performing monitoring operation on the hidden danger points which are not processed temporarily;
acquiring reporting information when early warning information corresponding to the hidden danger points which are not processed temporarily is acquired, importing the reporting information to a hidden danger point distribution diagram, and determining an emergency processing scheme according to the hidden danger point distribution diagram after importing the reporting information;
and collecting and determining the processing result of the hidden danger point, and verifying and canceling or re-inputting the information of the hidden danger point.
By adopting the technical scheme, newly-added hidden danger points are screened according to investigation detection information of the new hidden danger points, so that the hidden danger points which are relatively dangerous, urgent and easy to cause geological disasters and cause personnel and property loss are screened, and the priority management is facilitated; the hidden danger point distribution map is obtained by combining the hidden danger point information with the map data, so that the hidden danger points are globally visualized, visualized and informationized, a proper treatment scheme is conveniently formulated according to the hidden danger point positions, the influence range and other factors, and the treatment effect and efficiency are improved; then, determining the hidden trouble points which can be processed at present in the hidden trouble points to be treated, determining a processing scheme, monitoring the hidden trouble points which cannot be processed temporarily, acquiring early warning information when any hidden trouble point is in a disaster state, acquiring reported information acquired on site, guiding the reported information into a hidden trouble point distribution diagram, determining a disaster position, a spread range, a disaster condition and the like, thereby determining an emergency processing scheme, reducing time delay, and improving rescue and relief efficiency; through differentiation of processing schemes, the degree of geological hidden danger is conveniently divided, and orderly management of geological environment and monitoring information is realized, especially effective management and orderly management of optimized geological hidden danger points.
Preferably, the investigation detection information includes hidden danger point type information, hidden danger point positioning information and hidden danger point parameter information, the hidden danger points include formation attribute abnormal points, and the investigation detection information acquisition step of the formation attribute abnormal points includes acquiring a geophysical map of each road section in the designated area, acquiring hidden danger point type information and hidden danger point parameter information corresponding to the formation attribute abnormal points according to the geophysical map, and recording the positions of the formation attribute abnormal points on the geophysical map;
and calculating the coordinates of the stratum attribute abnormal points according to the map data and the positions of the stratum attribute abnormal points on the geophysical prospecting map, searching the corresponding position coordinates on the map data according to the coordinates of the stratum attribute abnormal points, marking at the position coordinates, and generating the hidden danger point positioning information corresponding to the stratum attribute abnormal points.
By adopting the technical scheme, the stratum attribute abnormal point belongs to one part of the hidden danger point, such as karst cave and the like, the investigation detection information comprises hidden danger point type information, hidden danger point positioning information and hidden danger point parameter information, the stratum structure can be known through a geophysical prospecting map obtained by on-site surveying, the hidden danger point type information, the hidden danger point parameter information and the like of the stratum attribute abnormal point can be obtained according to the stratum structure, when the geophysical prospecting map is combined with map data, the coordinates of the stratum attribute abnormal point can be determined according to parameters such as the length proportion of the geophysical prospecting map, the investigation detection information of the stratum attribute abnormal point is obtained, a hidden danger point distribution map is conveniently built, and a worker can conveniently and visually check the distribution condition of the hidden danger point and timely formulate a processing scheme.
Preferably, the step of calculating the coordinates of the formation property abnormal points includes acquiring the start point coordinates and the end point coordinates of each road section in the designated area, and calculating the coordinates of the formation property abnormal points in the designated area according to the start point coordinates and the end point coordinates of each road section and the positions of the formation property abnormal points on the geophysical prospecting map.
By adopting the technical scheme, the coordinates of the positions of the stratum attribute abnormal points are calculated according to the starting point coordinates and the end point coordinates of each road section, and the coordinates of the coordinates on the map and the coordinates of the stratum attribute abnormal points are associated, so that the positions of the stratum attribute abnormal points are accurately positioned and visually displayed on the map, and the real-time checking is convenient.
Preferably, the hidden danger point determination operation includes the specific steps of,
determining the threat range of the new hidden danger point according to the hidden danger point type information, the hidden danger point positioning information and the hidden danger point parameter information, and determining the potential threat information of the new hidden danger point according to real estate and personnel information existing in the threat range;
determining the hidden danger level and the danger level of the new hidden danger point through the potential threat information;
judging whether the current hidden danger points can cause personnel or property loss or not;
if not, the hidden danger point is not recorded into the disaster and dangerous situation hidden danger point database;
if yes, the hidden danger point is recorded into a disaster and dangerous situation hidden danger point database.
By adopting the technical scheme, the newly-added hidden danger points are screened according to the investigation detection information of the new hidden danger points, so that the hidden danger points which are relatively dangerous, urgent and easy to cause geological disasters and cause personnel and property losses are screened, the amount and the condition of the personnel and property losses in disaster can be obtained according to the real estate and the personnel information existing in the threat range, the potential threat information of the new hidden danger points is determined, the hidden danger level and the danger level of the new hidden danger points are determined, the priority management is facilitated, and the personnel and property losses are reduced.
Preferably, monitoring operation is performed on the hidden danger points which are not processed temporarily, whether early warning information is output or not is determined according to monitoring information obtained by monitoring, and the specific steps of the monitoring operation include: carrying out special inspection on the hidden danger points according to the hidden danger point information and acquiring inspection information;
carrying out professional monitoring on the hidden danger points according to the hidden danger point information and acquiring manual monitoring information;
carrying out automatic monitoring on the hidden danger points according to the hidden danger point information and acquiring automatic monitoring information;
and carrying out the inspection of the hidden danger points and the crowd according to the hidden danger point information and acquiring the crowd detection and defense information.
By adopting the technical scheme, the temporary untreated hidden danger points can be monitored by selecting proper monitoring and patrolling modes according to actual conditions and actual requirements, so that better early warning and emergency rescue are realized, and the personal safety of prevention and treatment personnel is ensured.
Preferably, the specific way of determining the processing scheme of the hidden trouble point is,
if the threat object of the hidden danger point is determined to be eliminated according to the hidden danger point information, implementing according to the threat object elimination scheme;
if the hidden danger point is determined to be eliminated according to the hidden danger point information, the hidden danger point elimination scheme is implemented;
and if the control plan of the prevention scheme needs to be brought into the control plan is determined according to the information of the hidden danger points, implementing according to the control plan of the prevention scheme.
By adopting the technical scheme, the hidden danger points refer to side slopes, karst caves and the like, the threat objects of the hidden danger points refer to houses below the side slopes, building facilities above the karst caves and the like, if the side slopes and the karst caves are small in scale, the hidden danger points can be directly treated in a reinforcing mode, a filling mode and the like, and if the hidden danger points are difficult to simply eliminate, the house facilities threatened by geological hidden dangers can be cleaned and carried, so that the hidden dangers are eliminated; for more complicated hidden danger types, a control scheme needs to be brought into a control plan for key control.
Preferably, when newly added hidden danger points are input, grading operation is carried out, wherein the grading operation comprises the steps of obtaining the hidden danger level and the danger level of the newly added hidden danger points, determining geological condition attributes, and determining and marking the area range of the newly added hidden danger points on a hidden danger point distribution map according to the geological condition attributes and the hidden danger point information;
generating a corresponding shapefile format file of the area with geological condition attributes according to the newly added hidden danger points and the area range of the original hidden danger points;
when the information of the regional approval process is received, block evaluation approval is executed according to the information of the regional approval process and the shapefile format file;
and judging whether to trigger an auditing process or not according to the result of the block evaluation approval.
Through adopting above-mentioned technical scheme, to the urban area, generally can do the differentiation of geological conditions according to existing situation, current geological conditions can divide into: the conditions of an easily-occurring region in a ground subsidence geological disaster, a karst subsidence geological disaster low-easily-occurring region, an easily-occurring region in a karst subsidence geological disaster, a karst subsidence geological disaster high-easily-occurring region, a slope type geological disaster difficult-occurring region, a slope type geological disaster low-easily-occurring region, an easily-occurring region in a slope type geological disaster, a slope type geological disaster high-easily-occurring region and the like; when a building area is selected in a regional building, a geological disaster prone area needs to be avoided for construction. Therefore, after the building area is selected by the area type building, the geological disaster evaluation organization needs to verify and approve; however, in the case of verification and approval by an actual geological disaster evaluation institution, there are cases where a small part of the construction area is located in the medium and high susceptibility areas, in addition to the case where the construction area is completely located in the building area of the low susceptibility area and the low susceptibility area. Therefore, different evaluation approval processes need to be carried out for geological disaster evaluation under different conditions, and the existing approval mode mainly depends on manual differentiation, so that the content needing to be verified is more, and the speed of the approval process is low; therefore, the geological condition attribute of the newly-added hidden danger points is determined according to the hidden danger levels and the danger levels of the newly-added hidden danger points, the area range of the newly-added hidden danger points is determined on the hidden danger point distribution diagram according to the geological condition attribute and the hidden danger point information, and the shape format file is generated. The shape file format is used as a file storage mode, graphic elements and attribute data are contained in the shape file format, geological condition information related to geological disasters can be brought to an area, and the probability range of the disasters in the block range can be accurately obtained. And the approval process is triggered to carry out further detailed examination aiming at the range interval with high probability of occurrence, the approval process is not triggered aiming at the range interval with low probability of occurrence, and only simpler examination is carried out, so that a proper approval mode can be automatically allocated based on the information of the approval process, the approval workload is reduced, and the approval efficiency is improved.
Preferably, the specific steps of the block evaluation approval are,
reading a corresponding shapefile format file of the area with the geological condition attribute based on the information of the area approval process;
reading a corresponding block image file based on the information of the regional approval process, wherein the block image is a closed polygon;
reversely analyzing the block image into a block coordinate array by utilizing an API (application programming interface) provided by the OGR element library;
a block range is formed by the block coordinate arrays, space operation in the block range is carried out in a vector layer of the shapefile format file, and the proportion of the occupied area of each geological condition attribute in the block range is obtained;
carrying out weight calculation on the proportion of the occupation area of each geological condition attribute in the block range;
and judging whether to trigger an auditing process or not based on the weight calculation result.
By adopting the technical scheme, the block image file in the DWG format is widely applied to industry as a drawing format output by CAD software. And the coordinate information can be accurately obtained through the block image file in the DWG format. Therefore, the proportion of the occupied area of each geological condition attribute in the block range can be obtained by performing space operation in the block range in the vector layer of the shape file; and the weight calculation is carried out according to the proportion of the area of the geological condition attribute in the block range, so that the probability range of the disaster in the block range can be accurately obtained. And the approval process is triggered to carry out further detailed examination aiming at the range interval with high probability of occurrence, the approval process is not triggered aiming at the range interval with low probability of occurrence, and only simpler examination is carried out, so that a proper approval mode can be automatically allocated based on the information of the approval process, the approval workload is reduced, and the approval efficiency is improved.
Preferably, the reported information includes the disaster area and its coordinates, and the information of key resources and its coordinates; before the emergency treatment plan is determined,
searching a corresponding position on a map according to the coordinates of the disaster area, displaying a closed graph corresponding to the disaster area at the position, searching a corresponding position on the map according to the coordinates of the key resources, and displaying a graph element corresponding to the key resources at the position;
and displaying the map, the closed graph and the graph element on the map on the human-computer interaction interface.
By adopting the technical scheme, the map of the disaster occurrence place is firstly acquired, then the reported information of the disaster occurrence area, key resources and the like is acquired, the key resources can be rescuers, ambulances and the like, then the reported information and the map are matched, so that the disaster occurrence area, the key resources and the like can be visually displayed at the corresponding positions on the map, the reported information and the map are displayed on a human-computer interaction interface, the reported information is represented in a closed graph, a graph element and the like, the visualization of the reported information is realized, the workload of calling data in the early stage and repeatedly comparing and confirming the positions is reduced, the personnel in a command center can conveniently know the field condition in time and appoint an emergency treatment scheme, the rescue efficiency is improved, and the personnel and economic losses caused by disasters are reduced.
Preferably, the disaster area is determined when the report information is imported, the coordinates of a plurality of sampling points on the boundary of the disaster area, which are acquired by field personnel, are obtained, corresponding positions are searched and marked on a map according to the coordinates of the sampling points, and curve fitting is performed on coordinate points of a plurality of marked positions corresponding to the sampling points to form a closed graph.
By adopting the technical scheme, field personnel acquire the sampling points at the boundary of the disaster area and then perform curve fitting on the plurality of sampling points to obtain the closed graph corresponding to the disaster area, so that the command center can conveniently deploy rescue personnel and rescue vehicles.
In order to realize orderly management of geological environment and monitoring information, particularly effective management and orderly management of optimized geological hidden danger points, the application provides a geological environment and monitoring information management system, which adopts the following technical scheme: a geological environment and monitoring information management system comprises a hidden danger point adding module, a processing scheme determining module and an updating and maintaining module;
a hidden danger point adding module for adding newly added hidden danger points, including,
the investigation detection information acquisition submodule is used for acquiring investigation detection information of the new hidden danger points;
the judgment operation submodule is used for executing the hidden danger point judgment operation, screening and inputting newly-added hidden danger points according to the investigation detection information of the new hidden danger points; and the number of the first and second groups,
the hidden danger point input sub-module is connected with the hidden danger point adding module and used for inputting newly-added hidden danger points and integrating the newly-added hidden danger points with investigation detection information of original hidden danger points to generate hidden danger point information and importing map data to form a hidden danger point distribution map;
the processing scheme determining module is used for determining the hidden danger points needing to be processed, determining the processing scheme of the hidden danger points according to the hidden danger point information, and monitoring the hidden danger points which are not processed temporarily; acquiring reporting information when early warning information corresponding to the hidden danger points which are not processed temporarily is acquired, importing the reporting information to a hidden danger point distribution diagram, and determining an emergency processing scheme according to the hidden danger point distribution diagram after importing the reporting information;
and the updating and maintaining module is connected with the processing scheme determining module and is used for acquiring and determining the processing result of the hidden danger point and verifying and canceling or re-inputting the information of the hidden danger point.
By adopting the technical scheme, the newly-added hidden danger points are added through the hidden danger point adding module, namely the newly-added hidden danger points are screened and input through the investigation detection information acquisition submodule, the judgment operation submodule and the hidden danger point input submodule, so that the relatively dangerous and urgent hidden danger points which are easy to cause geological disasters and cause personnel and property losses are screened, and the priority treatment is facilitated; the processing scheme determining module obtains the hidden danger point distribution map by combining the hidden danger point information with the map data, so that a proper treatment scheme can be conveniently formulated according to the hidden danger point position, the influence range and other factors, and the treatment effect and efficiency are improved; the processing scheme determining module is used for determining the hidden danger points which can be processed at present in the hidden danger points to be processed, determining a processing scheme, monitoring the hidden danger points which cannot be processed temporarily, acquiring early warning information by the system when any hidden danger point is in a disaster, knowing the real-time situation of each hidden danger point according to reported information returned by field workers, guiding the real-time situation into a hidden danger point distribution diagram, determining the disaster sending position, the spread range, the disaster sending situation and the like, determining an emergency processing scheme, reducing time delay and improving rescue and relief efficiency; through differentiation of processing schemes, the degree and urgency of the geological hidden danger can be conveniently divided, ordered management of geological environment and monitoring information is realized, and effective management and ordered management of geological hidden danger points are optimized particularly; and the updating and maintaining module is used for verifying and canceling the hidden danger points which have eliminated the hidden danger according to the processing results of the hidden danger points, or inputting the hidden danger points which generate the hidden danger again.
And in the third aspect, in order to realize the orderly management of the geological environment and the monitoring information, especially to optimize the effective management and orderly treatment of the geological hidden danger points. The application provides an intelligent terminal, adopts following technical scheme: an intelligent terminal comprises a memory and a processor, wherein a computer program which can be loaded by the processor and can execute the geological environment and monitoring information management method is stored in the memory.
In the fourth aspect, in order to realize the orderly management of the geological environment and the monitoring information, especially the effective management and the orderly treatment of the geological hidden danger points are optimized. The application provides a computer-readable storage medium, which adopts the following technical scheme: a computer readable storage medium storing a computer program that can be loaded by a processor and executed to perform any one of the geological environment and monitoring information management methods described above.
Drawings
FIG. 1 is a schematic illustration of a geophysical map of an embodiment of the present application;
FIG. 2 is a system block diagram of an embodiment of the present application;
FIG. 3 is a flow chart of a method of an embodiment of the present application;
FIG. 4 is a flowchart of a method for screening new hidden trouble spots according to an embodiment of the present application;
FIG. 5 is a flowchart of a method for determining a hidden danger point according to an embodiment of the present disclosure;
FIG. 6 is a flowchart of a method for rating and approval evaluation according to an embodiment of the present application;
fig. 7 is a flowchart of a method for importing a distribution map of hidden danger points according to the embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-7.
Referring to fig. 1, the comprehensive geological geophysical prospecting result map, also called geological geophysical prospecting comprehensive result map, is a map for comprehensively reflecting geological geophysical prospecting results of a working area, and comprises geophysical prospecting interpretation abnormal points (including stratum attribute abnormal points, karst cave soil cave abnormal points, cavity abnormal points, pipeline abnormal points and the like), geological stratification boundary lines, stratum resistivity contour line distribution and the like, and is a comprehensive geophysical prospecting interpretation result map. The comprehensive geological geophysical prospecting result map is generally displayed in the form of a stratigraphic structure profile of a certain straight line section on a map, so that stratigraphic attribute abnormal points can be displayed, workers can conveniently analyze hidden dangers generated by the stratigraphic attribute abnormal points, early warning and precautionary planning measures are made in advance, and economic losses and casualties caused by geological abnormal points such as cave 2 collapse are reduced.
The analysis of the stratum property abnormal point generally needs to be supported by actual data obtained by field investigation, and a worker needs to make a precautionary measure of a corresponding grade after the geological hidden trouble analysis, and inform other related units of early warning and arrangement of the site where the stratum property abnormal point is located according to the made precautionary measure, for example, a detour billboard is set to reduce passing vehicles, thereby reducing measures such as ground load and the like.
The hidden danger points refer to areas which can be developed into sudden geological disasters, wherein the sudden geological disasters refer to geological disasters which suddenly occur and finish the disaster action process in a short time, and mainly include volcanoes, earthquakes, collapse, landslides, debris flows, ground collapse, rock burst, water burst and mud burst in mines, coal and gas outburst and the like. Because sudden geological disasters occur suddenly, precursor phenomena are not obvious generally, and most of the sudden geological disasters have strong activities, prediction, forecast and prevention are difficult, people often fail to prevent the sudden geological disasters, and serious damage and loss are caused.
After a disaster occurs or in the process, after receiving the report, the geological disaster emergency command center needs to comprehensively specify an effective emergency scheme according to the reported information such as the position, the type, the coverage range and the like of the reported disaster, and commands the scheduling center to carry out rescue actions according to the emergency scheme, so that the personnel and economic losses caused by the geological disaster are reduced to the minimum. The existing reported information is mainly obtained by field personnel, wherein the reported information can be uploaded to a command center in a mobile terminal communication mode, and the contents of an instruction sent to a scheduling center by the command center and the reported information are mainly in a text, voice or report form.
Software applied in this embodiment is disclosed: the Apache POI is an open source function library of the Apache software foundation and provides API for Java programs to read and write functions of Microsoft Office format archives, such as reading and writing of word documents.
Referring to fig. 2, the system comprises a hidden danger point adding module, a processing scheme determining module and an updating and maintaining module, wherein the hidden danger point adding module, the processing scheme determining module and the updating and maintaining module can adopt processors, can execute relevant programs and realize the following functions.
The hidden danger point adding module is used for adding newly-increased hidden danger points, and the newly-increased hidden danger points are screened according to investigation detection information of the new hidden danger points, so that the hidden danger points which are relatively dangerous, emergency and easy to cause geological disasters and cause personnel and property losses are screened, and the convenience is brought to priority management. The hidden danger point adding module comprises an investigation and detection information acquisition submodule, a judgment operation submodule and a judgment operation submodule.
And the investigation detection information acquisition submodule is used for acquiring the investigation detection information of the new hidden danger point. The investigation detection information of the hidden danger points comprises hidden danger point type information, hidden danger point positioning information and hidden danger point parameter information. The hidden danger point type information includes, but is not limited to, collapse, landslide and debris flow, the hidden danger point positioning information includes geographic coordinates of the hidden danger point, the hidden danger point positioning information is encrypted, the hidden danger point parameter information refers to the size, range parameters and the like of the hidden danger point, and for example, when the hidden danger point is a landslide, the hidden danger point parameter information includes, but is not limited to, length of slope, gradient and height of slope.
Referring to fig. 2 and 3, the hidden danger points include formation attribute abnormal points, which may be karst caves, cavities, soil caves, and the like, in this embodiment, the karst caves are taken as an example, and the investigation and detection information acquisition steps of the formation attribute abnormal points are as follows: map data of a designated area is acquired and imported. And then acquiring a geophysical prospecting map of each road section in the designated area, acquiring hidden danger point type information and hidden danger point parameter information of the corresponding stratum attribute abnormal point according to the geophysical prospecting map, such as parameters of depth, diameter and the like of the karst cave, and recording the position of the stratum attribute abnormal point on the geophysical prospecting map, namely the length coordinate and the depth coordinate of the karst cave on the geophysical prospecting map.
Calculating the coordinates of the stratum attribute abnormal points according to the map data and the positions of the stratum attribute abnormal points on the geophysical prospecting map, searching the corresponding position coordinates on the map data according to the coordinates of the stratum attribute abnormal points, marking the position coordinates, generating the hidden danger point positioning information corresponding to the stratum attribute abnormal points, and further obtaining the stratum attribute abnormal points, namely the hidden danger point type information, the hidden danger point positioning information and the hidden danger point parameter information of the karst cave.
The method specifically comprises the following steps of calculating coordinates of the stratum attribute abnormal points: and selecting a road section on the map, acquiring a geophysical map corresponding to the road section, setting one end of the road section where the karst cave is located as a starting point and the other end of the road section where the karst cave is located as an end point, and designating the two ends of the geophysical map to respectively correspond to the starting point and the end point of the road section where the karst cave is located in a marking mode. The coordinates (X, Y) of the starting point of the road section where the karst cave is located are known, the length of the geophysical prospecting map of the road section where the karst cave is located can be obtained through measurement, the length is set to be D, the position of the karst cave can be found visually through the distribution of rock strata on the geophysical prospecting map, the distance between the karst cave on the geophysical prospecting map of the road section where the karst cave is located and the distance between the karst cave and one end of the starting point of the selected road section in the same proportion can be obtained to be D, and the length D and D are shown in figure 1. The position coordinates of the karst cave are (x, y): and X = X + (A-X) D/D, and Y = Y + (B-X) D/D, thereby obtaining the coordinate position of the karst cave.
Referring to fig. 2 and 4, the determination operation submodule is configured to perform hidden danger point determination operation, and screen and input newly added hidden danger points according to survey detection information of new hidden danger points. The method comprises the following specific steps: the position of the hidden danger point is determined through the hidden danger point position locating information, real estate and personnel near the hidden danger point can be known according to real estate and personnel information on a map, and loss information can be pre-determined for real estate information and personnel information within the coverage range of the threat according to the real estate information and the personnel information near the threat range and the hidden danger point position. For example, if the type information of the current hidden danger point is a landslide, the length of the slope in the parameter information of the current hidden danger point is 10m, the slope is 30 °, and the height of the slope is 5m, the threat range of 300m can be obtained, the threat range can be obtained by manual measurement or automatic computer generation, and the real estate covered by the threat range is 2 residential buildings including 20 households, so that the loss information can be determined.
And then judging whether the hidden danger points cause loss on site, if so, inputting the hidden danger points into a dangerous case and hidden danger point database and recording and storing the hidden danger points if the later period of the hidden danger points is determined to cause disaster and personnel or property damage, otherwise, not inputting the dangerous case and hidden danger point database, thereby screening the hidden danger points which are relatively dangerous, urgent and easy to cause geological disaster and cause personnel and property loss, conveniently and preferentially managing newly-added hidden danger points, and further reducing personnel and property loss.
Referring to fig. 3 and 5, monitoring operation is performed on the temporary unprocessed hidden danger points, and whether early warning information is output or not is determined according to monitoring information obtained by monitoring, wherein the monitoring operation specifically comprises the following steps:
carrying out professional inspection on the hidden danger points according to the hidden danger point information and acquiring monitoring information;
carrying out professional monitoring on the hidden danger points according to the hidden danger point information and acquiring monitoring information;
automatically monitoring the hidden danger points according to the hidden danger point information and acquiring monitoring information;
and (4) carrying out patrol of the group testing group defense personnel of the hidden danger points according to the hidden danger point information and acquiring monitoring information. And judging early warning according to the monitoring information, outputting the early warning information if the early warning is needed, generating an emergency treatment scheme, and outputting no early warning information and processing if the early warning is not needed.
When professional patrol is performed, patrol path information is acquired, patrol point position information is acquired, then the current patrol point position information is compared with position point information of a hidden danger point needing patrol at present, if the current patrol point position information and the current hidden danger point are the same or the difference is within a required range, external image information can be acquired, patrol checking information is added into the image information, the adding mode of the patrol checking information can be that a watermark containing the patrol checking information is added to the image information, and if the watermark is directly displayed on a picture. The inspection check information can be directly added into the image information, or the inspection check information can be presented in the attribute information of the picture, wherein the inspection check information comprises but is not limited to date, weather and coordinates; if the difference is not the same, the external image information cannot be acquired.
Referring to fig. 2 and 6, the hidden danger point input sub-module is connected to the hidden danger point adding module, and is configured to input a newly added hidden danger point and integrate with investigation detection information of an original hidden danger point, input the investigation detection information of the newly added hidden danger point into the disaster and dangerous situation hidden danger point database, generate hidden danger point information, and import map data. The map data can adopt a GIS map, the hidden danger point information is the investigation detection information which corresponds to the hidden danger points one by one, the map data and the hidden danger point information are combined to form a hidden danger point distribution graph, the hidden danger point distribution graph is displayed through a human-computer interaction interface, and information such as types, parameters, positions, threat ranges and the like of the hidden danger points is displayed on the hidden danger point distribution graph, so that a worker can conveniently and visually check the distribution condition of the hidden danger points, and a reasonable management scheme can be conveniently appointed according to the information.
And carrying out classification operation when newly added hidden danger points are input, wherein the classification operation comprises the steps of firstly obtaining the hidden danger level and the danger level of the newly added hidden danger points, determining geological condition attributes, sequentially dividing the geological condition attributes into a difficult-to-send area, a low-to-send area, a medium-to-send area and a high-to-send area according to the hidden danger level and the danger level from low to high, and determining and marking the area range of the newly added hidden danger points on a hidden danger point distribution diagram according to the geological condition attributes and the hidden danger point information. For example, the low susceptibility region is a region with a lower risk level and a region with a lower risk level, and the expression form of the low susceptibility region, the medium susceptibility region and the high susceptibility region on the distribution diagram of the risk points is a closed graph. The grading operation can be applied to geological disaster assessment, and a quick approval process with a simpler approval process can be selected for an approval area with lower risk according to the risk in a building area; and selecting the detailed examination with more complex examination and approval process for the examination and approval area with higher risk, and triggering the reviewing process when the complex detailed examination is carried out.
Before geological disaster evaluation, a shape file needs to be generated firstly. And generating a corresponding shapefile format file of the area with the geological condition attribute according to the newly added hidden danger points and the area range of the original hidden danger points. Shapefile is a non-topologically simple format for storing geometric location and attribute information for geographic elements that may be represented by points, lines, or planes. And the specific approval step needs to use the shapefile format file, and the specific approval steps S10-S80 are as follows: s10, receiving a regional approval process;
the regional approval process is submitted by an applicant to be approved, and the submitted information of the regional approval process at least comprises the regional information of the shapefile format file, the block image file in the DWG format under the read corresponding block file and the unique ID information of the corresponding applicant. Wherein the block file is correspondingly read based on the unique ID information. The unique ID information is recorded in a database file, and the shapefile format file is stored in a specified scene folder of the server.
The DWG data format is a proprietary file format used by computer aided design software AutoCAD and software based on AutoCAD to store design data.
The shape format file is stored in a designated scene folder at the server side, and if the region information is recorded as Shenzhen city, the storage position of the corresponding shape format file is C: \ gisdata \ shenzhen.shp; similarly, the block files are uploaded to a designated folder of the server side, such as C \ upload \ user A.dwg >, wherein the file names in the sharp brackets can be generated according to the unique id of the user in the system, and the files uploaded by different users in the whole application system can not be covered by others.
S20, reading a corresponding shapefile format file of the area with the geological condition attribute in the scene folder based on the information of the area approval process;
the shape file format file has regions with geological condition attributes, namely, a high incidence region, a medium incidence region, a low incidence region and a low incidence region. The high hair zone, the medium hair zone, the low hair zone and the difficult hair zone are obtained and divided by mainly utilizing GIS desktop software, and the specific manufacturing mode belongs to the prior art, so that the scheme is not described in detail.
Preferably, the GIS desktop software adopts three-dimensional digital earth platform software Skyline. Specifically, Skyline is three-dimensional digital earth platform software, can build a three-dimensional scene simulating a real world by utilizing massive remote sensing aerial image data, digital elevation data and other two-dimensional data, and supports embedding of the three-dimensional scene into a webpage.
S30, reading the corresponding block image file in the DWG format in the block folder based on the information of the regional approval process;
the block image is a closed polygon, such as a triangle, a quadrangle, a pentagon and the like, a corresponding block image file in a DWG format is input by a user according to actual needs, and the input image file has corresponding position information besides a graphic shape.
And S40, reversely analyzing the block image into a block coordinate array by using an API (application programming interface) provided by the OGR element library. Wherein, gdal (geospatial Data Abstraction library) is an open source grid space Data conversion library under the X/MIT permission protocol. It utilizes an abstract data model to express the various file formats supported. The OGR is a branch of the GDAL project and functions similarly to the GDAL except that it provides support for vector data. There are many well-known GIS-like products that use the GDAL/OGR library, including the ArcGIS, Google Earth, and cross-platform GRASS GIS systems of the ESRI.
The reverse analysis of the block image comprises the steps of analyzing a C: \ upload \ user A.dwg > file uploaded by a user, reversely analyzing geometric figures in the file into a group of block coordinate arrays, wherein the block coordinate arrays comprise end point coordinates which are sequentially connected on the block image, and the first group of coordinates and the last group of coordinates in the block coordinate arrays are equal.
Specifically, taking a block coordinate array of a quadrilateral as an example, the format is as follows: [ 8000030000, 8000031000, 8100031000, 8100030000, 8000030000 ]; the format is described as follows: [ x1 y1, x2 y2, x3 y3, x4 y4, x5 y5], wherein the coordinates of the start point of the first group x1, y1 and the coordinates of the end point of the last group x5, y5 are completely equal, which means that the polygon is a closed polygon.
S60, forming a block range by the block coordinate arrays, and performing space operation in the block range in the vector layer of the shapefile format file to obtain the proportion of the occupation area of each geological condition attribute in the block range.
By utilizing an API (application programming interface) provided by the OGR (object oriented programming) and taking a block coordinate array as a block range of a space query condition, performing a Skyline self-contained space operation function in a geological disaster vector layer of a shape format file in \ gisdata \ shenzhen.
I.e., the ratio of the specific surface area of the high hair region, the middle hair region, the low hair region and the low hair region, respectively, e.g., 4% of the high hair region, 12% of the middle hair region, 31% of the low hair region and 53% of the low hair region.
S70, carrying out weight calculation on the proportion of the occupation area of each geological condition attribute in the block range;
and weight values of the high-susceptibility region, the medium-susceptibility region, the low-susceptibility region and the low-susceptibility region are sequentially reduced in weight calculation. The specific numerical value is adjusted and set according to the actual situation.
Taking 4% of the high hair-prone region, 12% of the medium hair-prone region, 31% of the low hair-prone region and 53% of the hair-difficult region as examples, the weight values of the high hair-prone region, the medium hair-prone region, the low hair-prone region and the hair-difficult region are preferably 20, 6, 1 and 0 as examples. The calculation results = 4%. 20+ 12%. 6+ 31%. 1= 1.53.
And S80, judging whether to trigger the review process based on the weight calculation result.
Specifically, the obtained weight calculation result is compared with a preset trigger threshold, and when the weight calculation result is higher than the trigger threshold, the auditing process is triggered, otherwise, the auditing process is not triggered.
The trigger threshold is adjusted according to actual conditions, and the preferred trigger threshold ranges from 1.2 to 1.8, and in this embodiment, 1.3 is adopted. The result of the weight calculation is therefore 1.53> 1.3. Thus triggering the audit process. The approval process is complex detailed examination, so that a proper examination and approval mode can be automatically allocated based on the information of the examination and approval process, examination and approval workload is reduced, and examination and approval efficiency is improved.
The processing scheme determining module is used for determining the hidden danger points which can be processed at present in the hidden danger points to be managed, and determining the processing scheme, and specifically comprises the following four conditions: in the first case, if the hidden danger points needing to be brought into the control plan of the control scheme are determined according to the hidden danger point information, the control plan of the control scheme is edited for the hidden danger points, the control scheme is associated with the hidden danger points, and the editing work can be finished manually or automatically through processor operation. And the treatment of the hidden danger points is implemented according to a control plan of the prevention and treatment scheme.
In the second case, if it is determined that the threat object of the hidden danger point needs to be eliminated according to the hidden danger point information, the threat object elimination scheme is edited and associated with the hidden danger point, and the treatment of the hidden danger point is implemented according to the threat object elimination scheme. Threat objects include, but are not limited to, devices and buildings, and treatment options for threat objects include, but are not limited to, moving away devices, moving away buildings, and demolishing buildings.
In the third situation, if the hidden danger point is determined to be eliminated according to the hidden danger point information, the hidden danger point elimination scheme is edited and is associated with the hidden danger point, and the hidden danger point is managed according to the hidden danger point elimination scheme. The hidden danger point elimination scheme includes but is not limited to natural elimination and artificial elimination, wherein the natural elimination refers to the elimination of the hidden danger point in a natural state, such as the landslide point generates landslide and does not cause personnel and property loss. The artificial elimination refers to the elimination of hidden danger points under the manual intervention, such as the manual active excavation and clearing of the slope. And if the treatment result is finished, the condition of acceptance is considered to be met, and the treatment of the hidden trouble point is finished. The managed hidden trouble points which are managed and finished need to be maintained daily, maintenance management records can be stored, and the managed and maintained hidden trouble points are convenient to fetch and check.
Referring to fig. 3 and 7, in a fourth situation, in the process of monitoring the hidden trouble points which are not processed temporarily, when any hidden trouble point is in a disaster, the system acquires early warning information, acquires report information acquired on site at this time, imports the report information to a hidden trouble point distribution map, and determines an emergency processing scheme according to the hidden trouble point distribution map after importing the report information. The reported information includes, but is not limited to, a disaster area and coordinates thereof, information of key resources and coordinates thereof, the disaster area is a geological disaster spread area, namely, a zone where a landform change such as surface subsidence or a facility change such as building collapse occurs, so as to realize visualization of the reported information, thereby reducing workload of calling data in an early stage and repeatedly comparing and confirming positions, facilitating personnel in a command center to know site conditions in time and appointing an emergency treatment scheme, thereby improving rescue efficiency and reducing personnel and economic losses caused by disasters.
The determination of the disaster area adopts the following mode: firstly, acquiring coordinates of a plurality of sampling points on the boundary of a disaster area, which are acquired by field personnel; and then, searching and marking corresponding positions on the map according to the coordinates of each sampling point, and performing curve fitting on coordinate points of a plurality of marked positions corresponding to the sampling points to form a closed graph, wherein the outline of the closed graph is the boundary of the disaster area, and the area of the closed graph is the disaster area. The disaster area can be conveniently determined, so that rescue workers and rescue vehicles can be conveniently deployed by a command center, and the rescue efficiency is improved. In another embodiment, the disaster area can be defined by comparing and drawing aerial images before and after the disaster transmitted back by the aircraft, and the disaster area is the difference of the aerial images before and after the disaster.
The presentation form of the reported information on the hidden danger point distribution diagram is mainly a closed graph and graph elements, the closed graph can represent a disaster area, and the graph elements such as various shapes and pattern marks can be used for representing different key resources. And the key resources include but are not limited to ambulance, rescue vehicle, and rescue personnel, the ambulance includes ambulance, etc., the rescue vehicle includes crane, excavator, fire truck, etc., the rescue personnel includes expert and other staff, the other staff may be medical personnel, security personnel, etc. The expert can overcome some rescue problems or equipment fault problems appearing on the spot, so that the key effect is achieved, the personnel scheduling on the spot is facilitated by collecting information such as the geographic position of the expert, and the rescue efficiency is improved. The reported information further includes the number of rescue vehicles, and the number of rescue workers, and the number of key resources may be separately counted or summarized, for example, the total number of the rescue vehicles is 10, where 3 cranes, 7 excavators, and the like. The type and the quantity of the key resources are presented, so that the workers of the command center can know the current key resource distribution condition and the distribution proportion conveniently, further resource allocation and command are facilitated, and the rescue and disaster relief efficiency is improved.
The key resources such as the ambulance and the disaster relief car are also provided with a positioner, the positioner is bound with the key resources and is used for positioning the key resources and uploading the coordinate position of the key resources so as to obtain the coordinates of the key resources such as the ambulance and the like, and therefore the ambulance and the disaster relief car can be conveniently commanded to carry out rescue in time.
The reported information also comprises road blocking conditions around the disaster area, and the specific steps are as follows: the method comprises the steps of firstly acquiring a road comprising coordinate points in a closed graph on a map, recording a part of the road in the closed graph as a damaged road section, namely a road section affected by geological disasters, wherein the damaged road section is located in a disaster area, so that on-site personnel or equipment is required to perform investigation, and then uploading road information of the damaged road section, thereby knowing the road blocking condition.
And because other road sections on the same road are not affected by geological disasters, the traffic facilities are more perfect, and only the monitoring images or videos of other road sections on the road except the disaster-affected road section need to be taken, and then the road information of the other road sections obtained according to the monitoring images or videos is obtained, so that the investigation workload of field personnel is reduced. And finally, integrating the road information of the disaster-affected road section and the rest road sections, acquiring the road blocking condition according to the road information of all the road sections of the road, and displaying the blocking position on a human-computer interaction interface when any road is in the blocking condition, so that the driving route of the ambulance is conveniently planned, and the rescue efficiency is improved.
And the updating and maintaining module is connected with the processing scheme determining module and is used for acquiring and determining the processing result of the hidden danger point and performing verification and cancellation or re-entry of the hidden danger point information. And when the hidden danger point is processed, carrying out verification and cancellation on the hidden danger point information, wherein verification and cancellation refers to deleting the acquired managed hidden danger point information, the hidden danger point information of the threat object and the hidden danger point information of the hidden danger point, and the hidden danger point information is eliminated, but the hidden danger point information is reserved. And (4) aiming at the hidden trouble points needing to be eliminated by the threat object, if the threat object appears again, re-inputting the hidden trouble points.
The implementation principle of the embodiment of the application is as follows: the newly-added hidden danger points are screened according to the investigation detection information of the new hidden danger points, so that the hidden danger points which are relatively dangerous, urgent, easy to cause geological disasters and cause personnel and property losses are screened, and the priority management is facilitated.
After newly-increased hidden danger points are input, a hidden danger point distribution map is obtained in a mode of combining hidden danger point information and map data, so that a proper treatment scheme can be conveniently formulated according to hidden danger point positions, influence ranges and other factors, and the treatment effect and efficiency are improved. And a shape file with geological condition attributes can be obtained according to the hidden danger point distribution map, the hidden danger levels and the danger levels of the hidden danger points, and examination and approval process evaluation based on geological disaster evaluation can be performed on the basis of the shape file, so that a proper examination and approval mode can be automatically distributed based on information of the examination and approval process, examination and approval workload is reduced, and examination and approval efficiency is improved.
And then determining the hidden trouble points which can be processed at present in the hidden trouble points to be processed, determining a processing scheme of the hidden trouble points, and then verifying and selling the hidden trouble points or re-inputting the hidden trouble points according to a final processing result. Meanwhile, the hidden danger points which are not processed temporarily are monitored, when any hidden danger point has a disaster, the system acquires early warning information, acquires reported information, guides the reported information into a hidden danger point distribution diagram, determines the disaster occurrence position, the spread range, the disaster occurrence condition and the like, so that the dynamic state of the disaster occurrence site is mastered, the emergency processing scheme is determined, the time delay is reduced, the emergency command is conveniently and timely carried out, and the rescue and disaster relief efficiency is improved. Through differentiation of processing schemes, the degree of geological hidden danger is conveniently divided, and orderly management of geological environment and monitoring information is realized, especially effective management and orderly management of optimized geological hidden danger points.
The embodiment of the application provides an intelligent terminal which comprises a memory and a processor, wherein a computer program which can be loaded by the processor and can execute the geological environment and the monitoring information management method is stored in the memory. The memory can adopt a mechanical hard disk, a solid state disk, a U disk and the like, and the processor can adopt an ARM processor, an MCU, a CPU and the like.
An embodiment of the present application provides a computer-readable storage medium, which stores a computer program that can be loaded by a processor and execute the geological environment and monitoring information management method, where the computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (13)
1. A geological environment and monitoring information management method is characterized by comprising the following steps,
acquiring investigation detection information of the new hidden danger points;
determining the threat range of the new hidden danger point according to the investigation detection information, and determining the potential threat information of the new hidden danger point according to the real estate and personnel information existing in the threat range;
determining the hidden danger level and the danger level of the new hidden danger point through the potential threat information;
executing hidden danger point judgment operation, and screening and inputting newly added hidden danger points according to investigation detection information of the new hidden danger points;
inputting newly-added hidden danger points, integrating the newly-added hidden danger points with investigation detection information of original hidden danger points to generate hidden danger point information, and importing map data to form a hidden danger point distribution map;
determining hidden danger points needing to be processed, determining a processing scheme of the hidden danger points according to the hidden danger point information, and performing monitoring operation on the hidden danger points which are not processed temporarily;
acquiring reporting information when acquiring early warning information corresponding to newly increased hidden danger points which are not processed temporarily, importing the reporting information to a hidden danger point distribution map, and determining an emergency processing scheme according to the hidden danger point distribution map after importing the reporting information;
collecting and determining a processing result of the hidden danger points, and verifying and canceling or re-inputting information of the hidden danger points;
carrying out grading operation when newly added hidden danger points are input, determining geological condition attributes according to the hidden danger levels and danger levels of the newly added hidden danger points, and generating corresponding shapefile format files of the areas with the geological condition attributes;
performing a block evaluation approval, the block evaluation approval comprising the steps of,
reading a corresponding shapefile format file of the area with the geological condition attribute based on the information of the area approval process;
reading a corresponding block image file based on the information of the regional approval process, wherein the block image is a closed polygon;
reversely analyzing the block image into a block coordinate array by utilizing an API (application programming interface) provided by the OGR element library;
a block range is formed by the block coordinate arrays, space operation in the block range is carried out in a vector layer of the shapefile format file, and the proportion of the occupied area of each geological condition attribute in the block range is obtained;
carrying out weight calculation on the proportion of the occupation area of each geological condition attribute in the block range;
and judging whether to trigger an auditing process or not based on the weight calculation result.
2. The geological environment and monitoring information management method according to claim 1, wherein the survey detection information includes hidden danger point type information, hidden danger point positioning information, and hidden danger point parameter information, the hidden danger points include formation property abnormal points, and the survey detection information acquisition step of the formation property abnormal points is to acquire a geophysical map of each road section in a specified area, acquire hidden danger point type information and hidden danger point parameter information corresponding to the formation property abnormal points according to the geophysical map, and record positions of the formation property abnormal points on the geophysical map;
and calculating the coordinates of the stratum attribute abnormal points according to the map data and the positions of the stratum attribute abnormal points on the geophysical prospecting map, searching the corresponding position coordinates on the map data according to the coordinates of the stratum attribute abnormal points, marking at the position coordinates, and generating the hidden danger point positioning information corresponding to the stratum attribute abnormal points.
3. The method according to claim 2, wherein the coordinates of the formation property anomaly are calculated by obtaining start and end coordinates of each section in the designated area, and calculating the coordinates of the formation property anomaly in the designated area based on the start and end coordinates of each section and the position of the formation property anomaly on the geophysical map.
4. The geological environment and monitoring information management method according to claim 2, wherein the hidden danger point determination operation comprises the following specific steps,
determining the threat range of the new hidden danger point according to the hidden danger point type information, the hidden danger point positioning information and the hidden danger point parameter information;
judging whether the current hidden danger points can cause personnel or property loss or not;
if not, the hidden danger point is not recorded into the disaster and dangerous situation hidden danger point database;
if yes, the hidden danger point is recorded into a disaster and dangerous situation hidden danger point database.
5. The geological environment and monitoring information management method according to claim 4, wherein the step of grading operation is to obtain the hidden danger grade and the danger grade, determine the geological condition attribute, determine the area range of the newly added hidden danger points on the hidden danger point distribution map according to the geological condition attribute and the hidden danger point information, and mark the area range;
and generating a corresponding shapefile format file of the area with the geological condition attribute according to the newly added hidden danger points and the area range of the original hidden danger points.
6. The method of managing geologic environment and monitoring information of claim 5, wherein said staging operation further comprises: and according to the hidden danger grade and the danger grade, the geological condition attributes are divided into a difficult-to-send area, a low-to-send area, a medium-to-send area and a high-to-send area in sequence from low to high.
7. The geological environment and monitoring information management method according to claim 1, wherein the processing scheme for determining the hidden danger points is implemented in a specific manner,
if the threat object of the hidden danger point is determined to be eliminated according to the hidden danger point information, implementing according to the threat object elimination scheme;
if the hidden danger point is determined to be eliminated according to the hidden danger point information, the hidden danger point elimination scheme is implemented;
and if the control plan of the prevention scheme needs to be brought into the control plan is determined according to the information of the hidden danger points, implementing according to the control plan of the prevention scheme.
8. The geological environment and monitoring information management method according to claim 1, wherein monitoring operation is performed on the hidden danger points which are not processed temporarily, whether early warning information is output or not is determined according to monitoring information obtained by monitoring, and the specific steps of the monitoring operation include: carrying out special inspection on the hidden danger points according to the hidden danger point information and acquiring inspection information;
carrying out professional monitoring on the hidden danger points according to the hidden danger point information and acquiring manual monitoring information;
carrying out automatic monitoring on the hidden danger points according to the hidden danger point information and acquiring automatic monitoring information;
and carrying out the inspection of the hidden danger points and the crowd according to the hidden danger point information and acquiring the crowd detection and defense information.
9. The geological environment and monitoring information management method according to claim 1, wherein the reported information comprises disaster areas and their coordinates, information of key resources and their coordinates; before the emergency treatment plan is determined,
searching a corresponding position on a map according to the coordinates of the disaster area, displaying a closed graph corresponding to the disaster area at the position, searching a corresponding position on the map according to the coordinates of the key resources, and displaying a graph element corresponding to the key resources at the position;
and displaying the map, the closed graph and the graph element on the map on the human-computer interaction interface.
10. The geological environment and monitoring information management method according to claim 9, wherein the disaster area is determined when the report information is imported, coordinates of a plurality of sampling points on the boundary of the disaster area, which are acquired by field personnel, are obtained, corresponding positions are searched and labeled on a map according to the coordinates of each sampling point, and curve fitting is performed on coordinate points of a plurality of labeled positions corresponding to the sampling points to form a closed graph.
11. A geological environment and monitoring information management system is characterized by comprising a hidden danger point adding module, a processing scheme determining module and an updating and maintaining module;
a hidden danger point adding module for adding newly added hidden danger points, including,
the investigation detection information acquisition submodule is used for acquiring investigation detection information of the new hidden danger points;
the judgment operation submodule is used for executing the hidden danger point judgment operation, screening and inputting newly-added hidden danger points according to the investigation detection information of the new hidden danger points; and the number of the first and second groups,
the hidden danger point input sub-module is connected with the hidden danger point adding module and used for inputting newly-added hidden danger points and integrating the newly-added hidden danger points with investigation detection information of original hidden danger points to generate hidden danger point information and importing map data to form a hidden danger point distribution map;
the processing scheme determining module is used for determining the hidden danger points needing to be processed, determining the processing scheme of the hidden danger points according to the hidden danger point information, and monitoring the hidden danger points which are not processed temporarily; acquiring reporting information when early warning information corresponding to the hidden danger points which are not processed temporarily is acquired, importing the reporting information to a hidden danger point distribution diagram, and determining an emergency processing scheme according to the hidden danger point distribution diagram after importing the reporting information;
the updating and maintaining module is connected with the processing scheme determining module and is used for acquiring and determining the processing result of the hidden danger points and verifying and canceling or re-inputting hidden danger point information;
the hidden danger point input sub-module is used for carrying out grading operation when inputting the newly added hidden danger points, determining geological condition attributes according to the hidden danger levels and danger levels of the newly added hidden danger points, and generating corresponding shapefile format files of the regions with the geological condition attributes;
performing a block evaluation approval, the block evaluation approval comprising the steps of,
reading a corresponding shapefile format file of the area with the geological condition attribute based on the information of the area approval process;
reading a corresponding block image file based on the information of the regional approval process, wherein the block image is a closed polygon;
reversely analyzing the block image into a block coordinate array by utilizing an API (application programming interface) provided by the OGR element library;
a block range is formed by the block coordinate arrays, space operation in the block range is carried out in a vector layer of the shapefile format file, and the proportion of the occupied area of each geological condition attribute in the block range is obtained;
carrying out weight calculation on the proportion of the occupation area of each geological condition attribute in the block range;
and judging whether to trigger an auditing process or not based on the weight calculation result.
12. An intelligent terminal, comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the geological environment and monitoring information management method according to any of claims 1-10.
13. A computer-readable storage medium storing a computer program that can be loaded by a processor and executes the geological environment and monitoring information management method according to any of claims 1-10.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010917332.1A CN111950994B (en) | 2020-09-03 | 2020-09-03 | Geological environment and monitoring information management method, system, terminal and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010917332.1A CN111950994B (en) | 2020-09-03 | 2020-09-03 | Geological environment and monitoring information management method, system, terminal and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111950994A CN111950994A (en) | 2020-11-17 |
| CN111950994B true CN111950994B (en) | 2021-03-23 |
Family
ID=73367392
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010917332.1A Active CN111950994B (en) | 2020-09-03 | 2020-09-03 | Geological environment and monitoring information management method, system, terminal and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111950994B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112468961A (en) * | 2020-11-25 | 2021-03-09 | 浙江有色勘测规划设计有限公司 | Water pollution detection data processing method, system, terminal and medium |
| CN112529273B (en) * | 2020-12-01 | 2022-02-22 | 合肥泽众城市智能科技有限公司 | Method and system for predicting number trend of hidden dangers of urban buried gas pipeline |
| CN112415611A (en) * | 2020-12-16 | 2021-02-26 | 云南航天工程物探检测股份有限公司 | Tunnel disease development monitoring method based on geological radar acquisition |
| CN113220758B (en) * | 2021-04-26 | 2023-05-02 | 重庆市规划和自然资源信息中心 | Project maturity analysis and demonstration method |
| CN113706028A (en) * | 2021-08-31 | 2021-11-26 | 广东省林业科学研究院 | Forest fire risk hidden danger analysis method, system, equipment and medium |
| CN113623004B (en) * | 2021-08-31 | 2024-02-13 | 中煤科工集团重庆研究院有限公司 | Judgment method for water damage early warning |
| CN116597327B (en) * | 2023-05-15 | 2024-04-12 | 岳阳市水利水电规划勘测设计院有限公司 | Water conservancy facility hidden danger investigation system based on unmanned aerial vehicle |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102520401A (en) * | 2011-12-21 | 2012-06-27 | 南京大学 | Building area extraction method based on LiDAR data |
| CN107229745A (en) * | 2017-06-22 | 2017-10-03 | 安徽山鼎信息科技有限公司 | Geological disaster emergency commading system based on GIS |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104021210B (en) * | 2014-06-20 | 2017-02-15 | 南京大学 | Geographic data reading and writing method of MongoDB cluster of geographic data stored in GeoJSON-format semi-structured mode |
| CN110728446B (en) * | 2019-10-09 | 2022-04-01 | 中国地质大学（武汉） | County scale crop yield estimation method based on CNN-LSTM |
| CN110991720A (en) * | 2019-11-25 | 2020-04-10 | 中国长江三峡集团有限公司 | Geological disaster monitoring, early warning, preventing and treating system |
-
2020
- 2020-09-03 CN CN202010917332.1A patent/CN111950994B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102520401A (en) * | 2011-12-21 | 2012-06-27 | 南京大学 | Building area extraction method based on LiDAR data |
| CN107229745A (en) * | 2017-06-22 | 2017-10-03 | 安徽山鼎信息科技有限公司 | Geological disaster emergency commading system based on GIS |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111950994A (en) | 2020-11-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111950994B (en) | Geological environment and monitoring information management method, system, terminal and storage medium | |
| Deshpande | Improved floodplain delineation method using high‐density lidar data | |
| Mierzejowska et al. | The characteristics of geographical information systems in terms of their current use | |
| KR101742373B1 (en) | Landslide gis database and method for management | |
| Budimir et al. | Seismically induced landslide hazard and exposure modelling in Southern California based on the 1994 Northridge, California earthquake event | |
| Borgatti et al. | Slope instability processes affecting the Pietra di Bismantova geosite (Northern Apennines, Italy) | |
| Fazendeiro Sá et al. | A Seismic risk simulator for Iberia | |
| Goda et al. | Tsunami hazard warning and risk prediction based on inaccurate earthquake source parameters | |
| Thomas et al. | A method for evaluating population and infrastructure exposed to natural hazards: tests and results for two recent Tonga tsunamis | |
| Liebenberg et al. | A GIS approach to seismic risk assessment with an application to mining-related seismicity in Johannesburg, South Africa | |
| Cubellis et al. | Management of historical seismic data using GIS: the island of Ischia (Southern Italy) | |
| Pollino et al. | Multi-hazard analysis and mapping of infrastructure systems at national level using GIS techniques: Preliminary results | |
| Toma-Danila | REAL-TIME EARTHQUAKE DAMAGE ASSESSMENT AND GIS ANALYSIS OF TWO VULNERABLE COUNTIES IN THE VRANCEA SEISMIC AREA, ROMANIA. | |
| CN111915281B (en) | Block evaluation approval method and system based on geological disaster easily-issued subarea, intelligent terminal and storage medium | |
| JP3656852B1 (en) | Disaster prevention business plan support method and system | |
| Altan | Use of photogrammetry, remote sensing and spatial information technologies in disaster management, especially earthquakes | |
| Hsu et al. | Development and Application of a Platform for Multidimensional Urban Earthquake Impact Simulation | |
| Kim et al. | Development and Application of GIS-based Information System of Landslide Hazard Map Induced by Earthquakes and Rainfall in Korea. | |
| Svalova | Risk analysis and land use planning | |
| Chung et al. | Risk assessment using spatial prediction model for natural disaster preparedness | |
| Hosseini et al. | Probabilistic fault displacement hazard analysis for the north Tabriz fault | |
| Foster et al. | Standards and methods of hazard assessment for mass-movements in Great Britain | |
| Çankaya | High resolution tsunami vulnerability assessment by GISbased multicriteria decision making analysis at Yenikapı İstanbul | |
| Olteanu et al. | Sustainable Approach of a Multi-Hazard Risk Assessment Using GIS Customized for Ungheni Areal Situated in the Metropolitan Area of Iasi. Sustainability 2024, 16, 4485 | |
| Shahi | Empirical Model for Landslides Susceptibility in the Himachal Pradesh |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP03 | Change of name, title or address |
Address after: 518000, 1st Floor, Annex Building, Land and Real Estate Trading Building, No. 8007 Hongzi West Road, Futian District, Shenzhen, Guangdong Province Patentee after: Shenzhen natural resources and real estate evaluation and Development Research Center (Shenzhen geological environment monitoring center) Address before: 518000 1st floor, attached building, land real estate transaction building, 8007 Hongli West Road, Futian District, Shenzhen City, Guangdong Province Patentee before: Shenzhen real estate evaluation center (Shenzhen geological environment monitoring center) |
|
| CP03 | Change of name, title or address |