Tailings dam accident emergency modeling system and method based on 3S technology

Abstract

The present invention provides a tailings pond accident emergency modeling system and method based on 3S technology. First, geographic status information is acquired through high-resolution remote sensing technology, Beidou navigation technology, and geographic information technology. Then, a preset mapping engine is used to generate a dynamic model demonstration diagram according to the real-time changing geographic status information, and the model demonstration diagram is embedded in a tailings pond real-scene framework to form a tailings pond real-scene model. The geographic status information is then stored in the tailings pond real-scene model, and the real scene information of the tailings pond is reflected in real time according to the geographic status information and the model demonstration diagram. Accident warning and warning response are made based on the real scene information. In this way, data information and multi-dimensional mapping of the tailings pond and its surrounding environment are provided 24 hours a day, with high precision and rapidity, providing data support for accident forecasting, warning, and emergency response work, making it convenient for staff to grasp the actual operation status of the tailings pond in real time, further improving disaster prevention and mitigation work, and reducing unnecessary loss of life and property.

Description

Technical Field

[0001] The present invention relates to the field of tailings pond operation, and more specifically, to a tailings pond accident emergency modeling system and method based on 3S technology. Background Art

[0002] Traditional tailings dam physical projects mainly adopt online monitoring and manual monitoring systems to monitor the deformation of the dam body and the depth of the infiltration line, the length and slope of the dry beach, the reservoir water level, rainfall and other aspects; the key to the real-life emergency modeling of tailings dam accidents is the acquisition and unified management of relevant data on the facilities in the reservoir and the surrounding environment, that is, the topography and geomorphology of the reservoir area and the surrounding environment, geological conditions, information on the facilities in the reservoir, monitoring information, and assessment information obtained by model calculations and expert evaluations under various working conditions. However, the existing tailings dam monitoring technology only conducts monitoring and prevention research on certain accidents, lacks the comprehensiveness and accuracy of early warning, resulting in untimely forecasts and warnings before accidents, and delayed emergency preparations when accidents occur, posing a huge threat to people's lives and property safety, and causing adverse social impacts.

[0003] Therefore, there is an urgent need for a tailings pond accident emergency modeling system and method based on 3S technology that can provide data information and multi-dimensional mapping of the tailings pond and its surrounding environment around the clock, with high precision and speed, to provide data support for accident forecasting, warning and emergency response. The system and method should be applicable to the entire life cycle of the tailings pond, so that staff can grasp the actual operation status of the tailings pond in real time, further improve disaster prevention and mitigation work, and reduce unnecessary loss of life and property. Summary of the Invention

[0004] In view of the above problems, the purpose of the present invention is to provide a tailings pond accident emergency modeling system based on 3S technology to solve the problem that the existing tailings pond monitoring technology in the prior art only conducts monitoring and prevention research on a certain type of accident, lacks comprehensiveness and accuracy of early warning, resulting in untimely forecasts and warnings before accidents, and delayed emergency preparations when accidents occur, posing a huge threat to people’s lives and property safety, and causing adverse social impacts.

[0005] The present invention provides a tailings pond accident emergency modeling system based on 3S technology, comprising a 3S data acquisition module for acquiring geographic status information in real time, a model creation module for creating a tailings pond real-scene model based on the geographic status information, and a model management module for managing the tailings pond real-scene model; wherein,

[0006] The 3S data acquisition module at least includes an RS unit, a BDS unit, a GIS unit and a data integration unit, wherein the RS unit is used to obtain remote sensing images of the tailings pond through high-resolution remote sensing technology; the BDS unit is used to obtain positioning and navigation data of the tailings pond through Beidou navigation technology; the GIS unit is used to obtain geographical distribution data of the tailings pond through geographic information technology; and the data integration unit is used to aggregate the remote sensing images, the positioning and navigation data, and the geographical distribution data into geographical status information.

[0007] The model creation module includes a model construction unit and an image rendering unit; wherein the model construction unit is used to construct a tailings pond real-scene framework through data integration technology and spatial data model technology; the image rendering unit is used to generate a dynamic model demonstration map based on the real-time changing geographical status information through a preset mapping engine, and embed the model demonstration map into the tailings pond real-scene framework to form a tailings pond real-scene model;

[0008] The model management module is used to store the geographic status information in the tailings real-life model, and based on the tailings real-life model, reflect the real-life scene information of the tailings pond in real time according to the geographic status information and the model demonstration diagram; and make accident warnings and warning responses based on the real-life scene information.

[0009] Preferably, the high-resolution remote sensing technology is implemented by drones and three-dimensional electronic scanners.

[0010] Preferably, the geographical status information includes at least terrain change information of the tailings pond area and surrounding environment, environmental water quality data, dam deformation data, infiltration line rise and fall data, reservoir water level data and dry beach data.

[0011] Preferably, the tailings real-life model includes:

[0012] A data access layer, used for storing the geographic status information;

[0013] An application layer, configured to reflect the real scene information of the tailings pond in real time based on the geographic status information and the model demonstration diagram;

[0014] The response layer is used to issue accident warnings based on the geographic status information and the model demonstration diagram, and to obtain accident type data when the accident warning alarm sounds based on the real scene information of the tailings pond reflected in real time, and to generate an emergency plan corresponding to the accident type data.

[0015] Preferably, the data access layer includes a monitoring database and an external interface;

[0016] The monitoring database is used to store the geographic status information and other preset data information; the external interface is connected to a client operation page, which is used to realize human-computer interaction through the client operation page.

[0017] Preferably, the application layer includes a data module, a drawing module and an accident determination module; wherein,

[0018] The data module is used to perform regression statistics on the geographical status information and the model demonstration diagram to determine a monitoring coefficient for the real scene of the tailings pond;

[0019] The drawing module is used to generate or adjust a real-time statistical graph according to the monitoring coefficient;

[0020] The accident determination module is used to determine whether the monitoring coefficient is within the preset accident threshold range based on the real-time statistical graph; if the monitoring coefficient is within the accident threshold range, an early warning prompt is issued.

[0021] Preferably, the response layer includes a display module, an early warning module and a custom query module; wherein,

[0022] The display module is used to display the geographic status information and the model demonstration diagram in real time;

[0023] The early warning module is used to provide accident early warning according to the early warning prompt, issue an accident early warning alarm, obtain accident type data regarding accident type, accident scene, accident severity, and accident scope based on the monitoring coefficient and the real-time statistical graph, and prepare an emergency plan corresponding to the accident type data based on the accident type data and pre-acquired expert evaluation information; wherein the emergency plan includes emergency mapping and dynamic demonstration diagrams;

[0024] The custom query module is used to retrieve the geographic status information according to date or type; and is also used to enter expert assessment information before an accident occurs or after obtaining the early warning prompt.

[0025] Preferably, the model demonstration picture is a four-dimensional real scene picture.

[0026] On the other hand, the present invention also provides a tailings dam accident emergency modeling method based on 3S technology, which uses the tailings dam accident emergency modeling system based on 3S technology as described above to perform tailings modeling accident emergency warning, including:

[0027] Acquire remote sensing images of the tailings pond using high-resolution remote sensing technology, acquire positioning and navigation data of the tailings pond using Beidou navigation technology, acquire geographical distribution data of the tailings pond using geographic information technology, and aggregate the remote sensing images, the positioning and navigation data, and the geographical distribution data into geographical status information;

[0028] A dynamic model demonstration diagram is generated according to the real-time changing geographic status information by a preset mapping engine, and the model demonstration diagram is embedded into a tailings pond real-scene framework to form a tailings pond real-scene model; the tailings pond real-scene framework is constructed by data integration technology and spatial data model technology;

[0029] The geographical status information is stored in the tailings real-scene model, and the real scene information of the tailings pond is reflected in real time according to the geographical status information and the model demonstration diagram, and accident warnings and warning responses are made based on the real scene information.

[0030] Preferably, the process of reflecting the real scene information of the tailings pond in real time according to the geographical status information and the model demonstration diagram, and making accident warning and warning response based on the real scene information includes:

[0031] Performing regression statistics on the geographic status information and the model demonstration diagram to determine a monitoring coefficient for a real scenario of the tailings pond;

[0032] Generate or adjust a real-time statistical graph according to the monitoring coefficient;

[0033] Determine whether the monitoring coefficient is within the preset accident threshold range according to the real-time statistical graph; if the monitoring coefficient is within the accident threshold range, issue an early warning prompt;

[0034] An accident warning is performed according to the warning prompt, an accident warning alarm is issued, and accident type data on the accident type, accident scene, accident severity and accident scope are obtained based on the monitoring coefficient and the real-time statistical chart. An emergency plan corresponding to the accident type data is prepared according to the accident type data and pre-acquired expert evaluation information; wherein, the emergency plan includes emergency mapping and dynamic demonstration diagrams.

[0035] From the above technical solution, it can be seen that the tailings pond accident emergency modeling system based on 3S technology provided by the present invention includes a 3S data acquisition module for real-time acquisition of geographic status information and a model creation module for creating a tailings pond real-life model based on geographic status information, as well as a model management module for managing the tailings pond real-life model; wherein the 3S data acquisition module includes at least an RS unit, a BDS unit, a GIS unit and a data integration unit, the RS unit is used to obtain remote sensing images about the tailings pond through high-resolution remote sensing technology; the BDS unit is used to obtain positioning and navigation data about the tailings pond through Beidou navigation technology; the GIS unit is used to obtain geographical distribution data about the tailings pond through geographic information technology; the data integration unit is used to aggregate remote sensing images, positioning and navigation data, and geographical distribution data into geographical status information; the model creation module includes a model construction unit and an image drawing unit; the model construction unit is used to obtain geographical distribution data about the tailings pond through data A tailings pond real-scene framework is constructed based on integration technology and spatial data model technology; the image drawing unit is used to generate a dynamic model demonstration diagram according to real-time changing geographic status information through a preset mapping engine, and embed the model demonstration diagram into the tailings pond real-scene framework to form a tailings pond real-scene model; the model management module is used to store geographic status information in the tailings real-scene model, and reflect the real scene information of the tailings pond in real time based on the geographic status information and the model demonstration diagram based on the tailings real-scene model; and, based on the real scene information, accident warnings and warning responses are made. This is applicable to the entire life cycle of the tailings pond, making it convenient for managers to grasp the operation status of the tailings pond in real time, and can be used for daily inspections and safety hazard control, and can achieve scientific predictability and multi-source dynamic monitoring of tailings pond accidents, quickly carry out emergency mapping, and assist managers to quickly carry out tailings pond accident prevention and emergency response work, and has great promotion and application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] By referring to the following description in conjunction with the accompanying drawings, and with a more complete understanding of the present invention, other objects and results of the present invention will become more apparent and easier to understand. In the accompanying drawings:

[0037] Figure 1 3S technology-based tailings dam accident emergency modeling system according to an embodiment of the present invention;

[0038] Figure 2 Flowchart of a tailings dam accident emergency modeling method based on 3S technology according to an embodiment of the present invention. DETAILED DESCRIPTION

[0039] Existing tailings pond monitoring technology only conducts monitoring and prevention research on certain accidents, and lacks comprehensiveness and accuracy in early warning. As a result, forecasts and warnings before accidents are not timely, and emergency preparedness work is delayed when accidents occur, posing a huge threat to people's lives and property safety, and causing adverse social impacts.

[0040] In response to the above problems, the present invention provides a tailings pond accident emergency modeling system and method based on 3S technology. The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0041] To illustrate the precision instrument multi-stage vibration isolation system provided by the present invention, Figure 1 The tailings dam accident emergency modeling system based on 3S technology in the embodiment of the present invention is exemplarily marked; Figure 2 The tailings dam accident emergency modeling method based on 3S technology in an embodiment of the present invention is exemplified.

[0042] The following description of exemplary embodiments is merely illustrative in nature and is in no way intended to limit the present invention, its application, or uses. Techniques and devices known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques and devices should be considered part of the specification.

[0043] like Figure 1 As shown, the tailings pond accident emergency modeling system 100 based on 3S technology according to an embodiment of the present invention is characterized in that it includes a 3S data acquisition module 110 for acquiring geographic status information in real time, a model creation module 120 for creating a tailings pond real-scene model according to the geographic status information, and a model management module A for managing the tailings pond real-scene model 130; wherein the 3S data acquisition module 110 includes at least an RS unit 111, a BDS unit 112, a GIS unit 113 and a data integration unit 114, wherein the RS unit 111 is used to obtain remote sensing information about the tailings pond through high-resolution remote sensing technology. Image; In this embodiment, high-resolution remote sensing technology is implemented through drones and three-dimensional electronic scanners, and the BDS unit 112 is used to obtain positioning and navigation data about the tailings pond through Beidou navigation technology; the GIS unit 113 is used to obtain geographical distribution data about the tailings pond through geographic information technology; the data integration unit 114 is used to aggregate remote sensing images, positioning and navigation data, and geographical distribution data into geographical status information; In this embodiment, the geographical status information at least includes terrain change information of the tailings pond area and surrounding environment, environmental water quality data, dam deformation data, infiltration line rise and fall data, water level data in the reservoir, and dry beach data.

[0044] exist Figure 1In the embodiment shown, the model creation module 120 includes a model construction unit 121 and an image drawing unit 122; wherein the model construction unit 121 is used to construct a tailings pond real-scene framework through data integration technology and spatial data model technology; the image drawing unit 122 is used to generate a dynamic model demonstration diagram according to real-time changing geographical status information through a preset mapping engine, and embed the model demonstration diagram into the tailings pond real-scene framework to form a tailings pond real-scene model 130; that is, using GIS, RS, BDS technology as data collection and processing means, combined with data integration and spatial data model technology, it is possible to realize all-weather, all-day, high-precision collection of tailings pond real-scene data. and surrounding environmental data information, and according to 3S technology, data integration technology and spatial data model technology, a tailings pond accident emergency real-life model (tailings real-life model) is constructed. The model can realize the forecast and early warning function according to the monitoring and control indicators; with the support of a large amount of basic data and monitoring data, a mapping engine generates four-dimensional, three-dimensional real-life model diagrams, two-dimensional plane diagrams and other types of model demonstration diagrams. In order to enhance the visual effect, in this embodiment, the model demonstration diagram is a four-dimensional real-life diagram, which dynamically demonstrates the dynamic changes of the reservoir area and the surrounding environment, forming a complete tailings real-life model, which is convenient for staff to promptly discover and judge the type and cause of the accident, so as to quickly carry out emergency disposal work.

[0045] exist Figure 1 In the embodiment shown, the model management module A can be integrated into the tailings real-scene model 130 as a functional module that is part of the tailings real-scene model 130, or it can be independent of the tailings real-scene model 130 and configured as a separate functional module in the tailings pond accident emergency modeling system based on 3S technology, independent of the tailings real-scene model 130. There is no limitation here. The model management module A is used to store geographic status information in the tailings real-scene model 130, and based on the tailings real-scene model 130, reflect the real scene information of the tailings pond in real time according to the geographic status information and the model demonstration diagram; and make accident warnings and warning responses based on the real scene information; that is, the tailings real-scene model 130 is used to store geographic status information, and reflect the real scene information of the tailings pond in real time according to the geographic status information and the model demonstration diagram; The diagram reflects the real scene information of the tailings pond in real time, and makes accident warnings and warning responses based on the real scene information; in this embodiment, the tailings real-scene model 130 includes a data access layer 131, an application layer 132, and a response layer 133. The data access layer 131 is used to store the geographic status information; the application layer 132 is used to reflect the real scene information of the tailings pond in real time according to the geographic status information and the model demonstration diagram; the response layer 133 is used to make accident warnings based on the geographic status information and the model demonstration diagram, and obtain accident type data when the accident warning alarm sounds based on the real scene information of the tailings pond reflected in real time, and generate an emergency plan corresponding to the accident type data. In this way, the function of information data-real-scene model is realized through this three-layer framework.

[0046] Specifically, in Figure 1 In the illustrated embodiment, the data access layer 131 includes a monitoring database 1311 and an external interface 1312; the monitoring database 1311 is used to store geographic status information and other preset data information; the external interface 1312 is connected to a client operation page for realizing human-computer interaction through the client operation page; that is, the functions of the data access layer 131 include data storage, callability and external interface, and the background data, monitoring data and evaluation data of the tailings pond are uniformly managed in the form of a database for the application layer to call, and an external interface is provided at the same time, which can be used to manually (set permissions) to supplement or modify project information to realize human-computer interaction.

[0047] exist Figure 1 In the embodiment shown, the application layer 132 includes a data module 1321, a drawing module 1322 and an accident determination module 1323; wherein,

[0048] The data module 1321 is used to perform regression statistics on the geographical status information and the model demonstration map to determine the monitoring coefficient of the real scene of the tailings pond;

[0049] The drawing module 1322 is used to generate or adjust a real-time statistical graph according to the monitoring coefficient;

[0050] The accident determination module 1323 is used to determine whether the monitoring coefficient is within the preset accident threshold range based on the real-time statistical chart; if the monitoring coefficient is within the accident threshold range, an early warning prompt is issued. The accident threshold range is preset in advance and is not restricted here; that is, based on the monitoring data such as the depth of the infiltration line, dam displacement, reservoir water level changes, rainfall during the flood season, and changes in the surrounding environment during the actual operation of the tailings pond, a specific analysis of the operation of the tailings pond is performed. For example, the prediction of continuous values ​​such as dam displacement can be achieved by establishing a mathematical model using a statistical regression method. Taking the linear regression method as an example, Y=a+bX, where X is time and Y is the displacement increment. The two regression coefficients a and b (monitoring coefficients) are calculated based on the monitoring data to predict the dam displacement. Other monitoring data can also be predicted using this method.

[0051] According to the "Technical Specification for Tailings Dam Safety Monitoring" (AQ 2030-2010), different tailings dam grades require different early warning indicators, and corresponding early warning accident threshold ranges must be set based on the specific tailings dam grade. These early warning indicators, also known as the monitoring coefficients mentioned in the forecast, can be used to implement early warning functions based on on-site monitoring data and forecast results.

[0052] Moreover, in this embodiment, the application layer 132 includes a repository for storing models of various facilities of the tailings pond and general legend symbols, and has functions such as calling a mapping engine and monitoring and controlling indicators. By calling data information of the data access layer and combining it with the model repository, the historical changes of the tailings pond over time can be dynamically displayed, and real-time statistical graphs similar to four-dimensional and three-dimensional real-life images and two-dimensional plane maps can be generated through the mapping engine.

[0053] exist Figure 1 In the embodiment shown, the response layer 133 includes a display module 1331, an early warning module 1332 and a custom query module 1333; wherein,

[0054] The display module 1331 is used to display geographic status information and model demonstration diagrams in real time;

[0055] The early warning module 1332 is used to provide accident early warning according to early warning prompts, issue accident early warning alarms, obtain accident type data regarding accident type, accident scene, accident severity, and accident scope based on monitoring coefficients and real-time statistical graphs, and prepare an emergency plan corresponding to the accident type data based on the accident type data and pre-acquired expert evaluation information; wherein the emergency plan includes emergency mapping and dynamic demonstration graphics;

[0056] The custom query module 1333 is used to retrieve geographic status information by date or type; it is also used to enter expert assessment information before an accident occurs or after receiving an early warning prompt, so that the expert assessment information is transmitted to the early warning module 1332, so that the early warning module can more comprehensively prepare an emergency plan corresponding to the accident type data based on the accident type data and the expert assessment information;

[0057] In other words, the response layer 133 displays the operating results of the entire system to the user, and can set functions such as information query and entry, forecast and warning, static and dynamic model demonstration, etc. According to the monitoring and control indicators set by the application layer (such as deformation, water level, infiltration line, etc.), when the tailings pond monitoring data exceeds the control indicators, the alarm function will be triggered. At this time, the static and dynamic model diagrams can be viewed to query the monitoring information.

[0058] In summary, the tailings pond accident emergency modeling system based on 3S technology provided by the present invention updates data in real time according to RS technology (high-resolution remote sensing technology), high-precision positioning using BDS technology (Beidou navigation technology), and multi-source data management using GIS technology (geographic information technology). It can provide data information on the reservoir area and surrounding environment, such as terrain changes, environmental water quality, dam deformation, rise and fall of the infiltration line, water level in the reservoir, and dry beach related data. With the support of data integration technology and spatial data model technology, the mapping engine can produce model demonstration diagrams, real-time statistical diagrams, etc. in an emergency, and can then provide data information and multi-dimensional mapping of the reservoir area and surrounding environment all day, all day, with high precision, and quickly, providing data support for accident forecasting, warning, and emergency disposal. Moreover, the system is applicable to the entire life cycle of the tailings pond, making it convenient for staff to grasp the actual operation of the tailings pond in real time, further improve disaster prevention and mitigation work, and reduce unnecessary loss of life and property.

[0059] It can be seen from the above embodiments that the tailings pond accident emergency modeling system based on 3S technology provided by the present invention includes a 3S data acquisition module for real-time acquisition of geographic status information and a model creation module for creating a tailings pond real-life model based on the geographic status information, as well as a model management module for managing the tailings pond real-life model; wherein the 3S data acquisition module includes at least an RS unit, a BDS unit, a GIS unit and a data integration unit, the RS unit is used to obtain remote sensing images about the tailings pond through high-resolution remote sensing technology; the BDS unit is used to obtain positioning and navigation data about the tailings pond through Beidou navigation technology; the GIS unit is used to obtain geographical distribution data about the tailings pond through geographic information technology; the data integration unit is used to aggregate remote sensing images, positioning and navigation data, and geographical distribution data into geographical status information; the model creation module includes a model construction unit and an image drawing unit; the model construction unit is used to obtain geographical distribution data about the tailings pond through geographic information technology; the data integration unit is used to aggregate remote sensing images, positioning and navigation data, and geographical distribution data into geographical status information; the model creation module includes a model construction unit and an image drawing unit; the model construction unit is used to obtain geographical distribution data about the tailings pond through Data integration technology and spatial data model technology construct the tailings pond real-scene framework; the image drawing unit is used to generate a dynamic model demonstration diagram according to the real-time changing geographic status information through a preset mapping engine, and embed the model demonstration diagram into the tailings pond real-scene framework to form a tailings pond real-scene model; the model management module is used to store the geographic status information in the tailings real-scene model, and based on the tailings real-scene model, reflect the real scene information of the tailings pond in real time according to the geographic status information and the model demonstration diagram; and, make accident warnings and warning responses based on the real scene information. This is applicable to the entire life cycle of the tailings pond, making it convenient for managers to grasp the operation status of the tailings pond in real time, and can be used for daily inspections and safety hazard control, and can achieve scientific predictability and multi-source dynamic monitoring of tailings pond accidents, quickly carry out emergency mapping, and assist managers to quickly carry out tailings pond accident prevention and emergency response work, and has great promotion and application prospects.

[0060] like Figure 2As shown, the present invention also provides a tailings pond accident emergency modeling method based on 3S technology, which uses the tailings pond accident emergency modeling system based on 3S technology as described above to perform tailings modeling accident emergency warning, including:

[0061] S1: obtaining remote sensing images of the tailings pond using high-resolution remote sensing technology, obtaining positioning and navigation data of the tailings pond using Beidou navigation technology, obtaining geographical distribution data of the tailings pond using geographic information technology, and aggregating the remote sensing images, the positioning and navigation data, and the geographical distribution data into geographical status information;

[0062] S2: generating a dynamic model demonstration diagram based on the real-time changing geographic status information using a preset mapping engine, and embedding the model demonstration diagram into a tailings pond real-scene framework to form a tailings pond real-scene model; the tailings pond real-scene framework is constructed using data integration technology and spatial data model technology;

[0063] S3: The geographical status information is stored in the tailings real-scene model, and the real scene information of the tailings pond is reflected in real time according to the geographical status information and the model demonstration diagram, and accident warning and warning response are made based on the real scene information.

[0064] The process of reflecting the real scene information of the tailings pond in real time according to the geographic status information and the model demonstration diagram, and making accident warning and warning response based on the real scene information includes:

[0065] Performing regression statistics on the geographic status information and the model demonstration diagram to determine a monitoring coefficient for a real scenario of the tailings pond;

[0066] Generate or adjust a real-time statistical graph according to the monitoring coefficient;

[0067] Determine whether the monitoring coefficient is within the preset accident threshold range according to the real-time statistical graph; if the monitoring coefficient is within the accident threshold range, issue an early warning prompt;

[0068] An accident warning is performed according to the warning prompt, an accident warning alarm is issued, and accident type data on the accident type, accident scene, accident severity and accident scope are obtained based on the monitoring coefficient and the real-time statistical chart. An emergency plan corresponding to the accident type data is prepared according to the accident type data and pre-acquired expert evaluation information; wherein, the emergency plan includes emergency mapping and dynamic demonstration diagrams.

[0069] The specific detailed steps are not limited here, and reference may be made to the embodiment of the tailings dam accident emergency modeling system based on 3S technology as described above, which will not be described in detail here.

[0070] As described above, the tailings pond accident emergency modeling method based on 3S technology provided by the present invention first obtains remote sensing images of the tailings pond through high-resolution remote sensing technology, obtains positioning and navigation data of the tailings pond through Beidou navigation technology, obtains geographical distribution data of the tailings pond through geographic information technology, and summarizes the remote sensing images, positioning and navigation data, and geographical distribution data into geographical status information; then, a dynamic model demonstration diagram is generated according to the real-time changing geographical status information through a preset mapping engine, and the model demonstration diagram is embedded in the tailings pond real-scene framework to form a tailings pond real-scene model; the tailings pond real-scene framework is generated through a data set The system is constructed by integrating technology and spatial data model technology; then the geographical status information is stored through the tailings real-life model, and the real scene information of the tailings pond is reflected in real time according to the geographical status information and the model demonstration diagram, and accident warning and warning response are made based on the real scene information. In this way, the tailings pond and surrounding environment data information and multi-dimensional mapping can be provided around the clock, with high precision and speed, to provide data support for accident forecasting and emergency response, and it is applicable to the entire life cycle of the tailings pond, so that the staff can grasp the actual operation status of the tailings pond in real time, further improve disaster prevention and mitigation work, and reduce unnecessary loss of life and property.

[0071] The tailings dam accident emergency modeling system and method based on 3S technology proposed in accordance with the present invention have been described above by way of example with reference to the accompanying drawings. However, those skilled in the art will appreciate that various improvements may be made to the tailings dam accident emergency modeling system and method based on 3S technology proposed in accordance with the present invention without departing from the scope of the present invention. Therefore, the scope of protection of the present invention shall be determined by the contents of the appended claims.

Claims

1. A tailings dam accident emergency modeling system based on 3S technology, characterized in that: It includes a 3S data acquisition module for acquiring geographic status information in real time, a model creation module for creating a tailings pond real-scene model based on the geographic status information, and a model management module for managing the tailings pond real-scene model; wherein, The 3S data acquisition module includes at least an RS unit, a BDS unit, a GIS unit, and a data integration unit, wherein the RS unit is used to obtain remote sensing images of the tailings pond through high-resolution remote sensing technology; the BDS unit is used to obtain positioning and navigation data of the tailings pond through Beidou navigation technology; the GIS unit is used to obtain geographical distribution data of the tailings pond through geographic information technology; the data integration unit is used to aggregate the remote sensing images, the positioning and navigation data, and the geographical distribution data into geographical status information; the geographical status information includes at least terrain change information of the tailings pond area and surrounding environment, environmental water quality data, dam deformation data, infiltration line rise and fall data, reservoir water level data, and dry beach data; The model creation module includes a model construction unit and an image drawing unit; wherein, the model construction unit is used to construct a tailings pond real-scene framework through data integration technology and spatial data model technology; the image drawing unit is used to generate a dynamic model demonstration map according to real-time changing geographical status information through a preset mapping engine, and embed the model demonstration map into the tailings pond real-scene framework to form a tailings pond real-scene model; the model demonstration map is a four-dimensional real-scene map; wherein, The tailings real-scene model includes: a data access layer for storing the geographic status information; an application layer for reflecting the real scene information of the tailings pond in real time according to the geographic status information and the model demonstration diagram; a response layer for performing accident warning according to the geographic status information and the model demonstration diagram, and obtaining accident type data when the accident warning alarm sounds according to the real scene information of the tailings pond reflected in real time, and generating an emergency plan corresponding to the accident type data; wherein, The application layer includes a data module, a drawing module, and an accident determination module; wherein the data module is used to perform regression statistics on the geographic status information and the model demonstration map to determine the monitoring coefficient of the real scene of the tailings pond; the drawing module is used to generate or adjust the real-time statistical map according to the monitoring coefficient; the accident determination module is used to determine whether the monitoring coefficient is within the preset accident threshold range based on the real-time statistical map; if the monitoring coefficient is within the accident threshold range, an early warning prompt is issued; The model management module is used to store the geographic status information in the tailings real-life model, and based on the tailings real-life model, reflect the real-life scene information of the tailings pond in real time according to the geographic status information and the model demonstration diagram; and make accident warnings and warning responses based on the real-life scene information.

2. The tailings dam accident emergency modeling system based on 3S technology according to claim 1 is characterized in that: The high-resolution remote sensing technology is realized through drones and three-dimensional electronic scanners.

3. The tailings dam accident emergency modeling system based on 3S technology according to claim 1 is characterized in that: The data access layer includes a monitoring database and an external interface; The monitoring database is used to store the geographic status information and other preset data information; the external interface is connected to a client operation page, which is used to realize human-computer interaction through the client operation page.

4. The tailings dam accident emergency modeling system based on 3S technology according to claim 1 is characterized in that: The response layer includes a display module, an early warning module and a custom query module; wherein, The display module is used to display the geographic status information and the model demonstration diagram in real time; The early warning module is used to provide accident early warning according to the early warning prompt, issue an accident early warning alarm, obtain accident type data regarding accident type, accident scene, accident severity, and accident scope based on the monitoring coefficient and the real-time statistical graph, and prepare an emergency plan corresponding to the accident type data based on the accident type data and pre-acquired expert evaluation information; wherein the emergency plan includes emergency mapping and dynamic demonstration diagrams; The custom query module is used to retrieve the geographic status information according to date or type; and is also used to enter expert assessment information before an accident occurs or after obtaining the early warning prompt.

5. The tailings dam accident emergency modeling system based on 3S technology according to claim 1 is characterized in that: The model demonstration diagram is a four-dimensional real scene diagram.

6. A tailings dam accident emergency modeling method based on 3S technology, using the tailings dam accident emergency modeling system based on 3S technology as described in any one of claims 1 to 5 to perform tailings modeling accident emergency warning, comprising: Acquire remote sensing images of the tailings pond using high-resolution remote sensing technology, acquire positioning and navigation data of the tailings pond using Beidou navigation technology, acquire geographical distribution data of the tailings pond using geographic information technology, and aggregate the remote sensing images, the positioning and navigation data, and the geographical distribution data into geographical status information; The geographical status information includes at least topographic change information of the tailings pond area and surrounding environment, environmental water quality data, dam deformation data, infiltration line rise and fall data, reservoir water level data and dry beach data; Generate a dynamic model demonstration map based on the real-time changing geographical status information through a preset mapping engine, and embed the model demonstration map into the tailings pond real-scene framework to form a tailings pond real-scene model; The tailings pond real-scene framework is constructed by data integration technology and spatial data model technology; the model demonstration diagram is a four-dimensional real-scene diagram; The geographical status information is stored in the tailings reality model, the real scene information of the tailings pond is reflected in real time according to the geographical status information and the model demonstration diagram, and an accident warning and warning response are made based on the real scene information; wherein, the process of reflecting the real scene information of the tailings pond in real time according to the geographical status information and the model demonstration diagram, and making an accident warning based on the real scene information, includes: Performing regression statistics on the geographic status information and the model demonstration diagram to determine a monitoring coefficient for a real scenario of the tailings pond; Generate or adjust a real-time statistical graph according to the monitoring coefficient; It is determined based on the real-time statistical graph whether the monitoring coefficient is within the preset accident threshold range; if the monitoring coefficient is within the accident threshold range, an early warning prompt is issued.

7. The tailings dam accident emergency modeling method based on 3S technology according to claim 6 is characterized in that: The process of responding to an early warning includes: An accident warning is performed according to the warning prompt, an accident warning alarm is issued, and accident type data on the accident type, accident scene, accident severity and accident scope are obtained based on the monitoring coefficient and the real-time statistical chart. An emergency plan corresponding to the accident type data is prepared according to the accident type data and pre-acquired expert evaluation information; wherein, the emergency plan includes emergency mapping and dynamic demonstration diagrams.

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