Disclosure of Invention
In view of the above problems, the invention aims to provide a tailing pond accident emergency modeling system based on a 3S technology, so as to solve the problems that the existing tailing pond monitoring technology in the prior art only aims at developing monitoring and prevention and control research for a certain accident, lacks comprehensiveness and accuracy of early warning, ensures that early warning is not timely before the accident occurs, and has lagged emergency preparation work when the accident occurs, thereby bringing great threat to life and property safety of people and causing adverse social influence.
The invention provides a tailing pond accident emergency modeling system based on a 3S technology, which comprises a 3S data acquisition module for acquiring geographical state information in real time, a model creation module for creating a tailing pond live-action model according to the geographical state information, and a model management module for managing the tailing pond live-action model,
The 3S data acquisition module at least comprises an RS unit, a BDS unit, a GIS unit and a data integration unit, wherein the RS unit is used for acquiring remote sensing images related to a tailing pond through a high-resolution remote sensing technology, the BDS unit is used for acquiring positioning navigation data related to the tailing pond through a Beidou navigation technology, the GIS unit is used for acquiring geographic distribution data related to the tailing pond through a geographic information technology, and the data integration unit is used for integrating the remote sensing images, the positioning navigation data and the geographic distribution data into geographic state information;
the model creation module comprises a model construction unit and an image drawing unit, wherein the model construction unit is used for constructing a tailings pond live-action frame through a data integration technology and a spatial data model technology, and the image drawing unit is used for generating a dynamic model demonstration diagram through a preset drawing engine according to the geographical state information of real-time variation and embedding the model demonstration diagram into the tailings pond live-action frame to form a tailings pond live-action model;
the model management module is used for storing the geographic state information in the tailing actual model, reflecting real scene information of the tailing pond in real time according to the geographic state information and the model display diagram based on the tailing actual model, and making accident early warning and early warning response based on the real scene information.
Preferably, the high-resolution remote sensing technology is realized by an unmanned plane and a three-dimensional electronic scanner.
Preferably, the geographical state information at least comprises topography change information of the tailing pond area and surrounding environment, environmental water quality data, dam deformation data, infiltration line lifting data, water level data in the tailing pond area and dry beach data.
Preferably, the tailings live-action model comprises:
the data access layer is used for storing the geographic state information;
the application layer is used for reflecting the real scene information of the tailing pond in real time according to the geographic status information and the model display diagram;
and the response layer is used for carrying out accident early warning according to the geographic state information and the model demonstration drawing, acquiring accident type data when the alarm of the accident early warning is sounded 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.
Preferably, the data access layer comprises a monitoring database and an external interface;
The monitoring database is used for storing the geographic state information and other preset data information, and the external interface is connected with a client operation page and used for realizing man-machine interaction through the client operation page.
Preferably, the application layer comprises a data module, a drawing module and an accident determination module, wherein,
The data module is used for carrying out regression statistics on the geographical state information and the model demonstration graph so as to determine a monitoring coefficient about the real scene of the tailing pond;
the drawing module is used for generating or adjusting a real-time statistical graph according to the monitoring coefficient;
The accident judging module is used for judging whether the monitoring coefficient is in each preset accident threshold interval according to the real-time statistical graph, and if the monitoring coefficient is in the accident threshold interval, an early warning prompt is sent out.
Preferably, the response layer comprises a display module, an early warning module and a custom query module, wherein,
The display module is used for displaying the geographic state information and the model display diagram in real time;
The early warning module is used for carrying out accident early warning according to the early warning prompt, sending out alarm of accident early warning, acquiring accident type data about accident types, accident scenes, accident severity and accident occurrence range based on the monitoring coefficients and the real-time statistical graph, and manufacturing an emergency plan corresponding to the accident type data according to the accident type data and pre-acquired expert evaluation information, wherein the emergency plan comprises an emergency drawing and a dynamic demonstration graph;
the custom query module is used for retrieving the geographic state information according to the date or type and inputting expert evaluation information before the accident occurs or after the early warning prompt is acquired.
Preferably, the model rendering is a four-dimensional live-action.
On the other hand, the invention also provides a tailing pond accident emergency modeling method based on the 3S technology, which adopts the tailing pond accident emergency modeling system based on the 3S technology to carry out tailing pond accident emergency early warning and comprises the following steps:
Acquiring remote sensing images related to a tailing pond through a high-resolution remote sensing technology, acquiring positioning navigation data related to the tailing pond through a Beidou navigation technology, acquiring geographic distribution data related to the tailing pond through a geographic information technology, and summarizing the remote sensing images, the positioning navigation data and the geographic distribution data into geographic state information;
generating a dynamic model demonstration diagram according to the real-time changing geographic state information through a preset drawing engine, and embedding the model demonstration diagram into a tailings pond live-action frame to form a tailings pond live-action model, wherein the tailings pond live-action frame is constructed through a data integration technology and a spatial data model technology;
And storing the geographical state information through the tailing pond real-scene model, reflecting real-scene information of the tailing pond in real time according to the geographical state information and the model display diagram, and making accident early warning and early warning response based on the real-scene information.
Preferably, the process of reflecting real scene information of the tailing pond in real time according to the geographic status information and the model demonstration drawing and making accident early warning and early warning response based on the real scene information comprises the following steps:
carrying out regression statistics on the geographical state information and the model demonstration diagram to determine monitoring coefficients about the real scene of the tailing pond;
Generating or adjusting a real-time statistical graph according to the monitoring coefficient;
Judging whether the monitoring coefficient is in each preset accident threshold interval according to the real-time statistical graph, and if so, sending out an early warning prompt;
and carrying out accident early warning according to the early warning prompt, sending out an alarm of the accident early warning, acquiring accident type data about the accident type, the accident scene, the accident severity and the accident occurrence range based on the monitoring coefficient and the real-time statistical graph, and manufacturing an emergency plan corresponding to the accident type data according to the accident type data and pre-acquired expert evaluation information, wherein the emergency plan comprises an emergency drawing and a dynamic demonstration graph.
According to the technical scheme, the tailing pond accident emergency modeling system based on the 3S technology comprises a 3S data acquisition module for acquiring geographic state information in real time and a model creation module for creating a tailing pond live-action model according to the geographic state information, and a model management module for managing the tailing pond live-action model, wherein the 3S data acquisition module at least comprises an RS unit, a BDS unit, a GIS unit and a data integration unit, the RS unit is used for acquiring remote sensing images related to the tailing pond through a high-resolution remote sensing technology, the BDS unit is used for acquiring positioning navigation data related to the tailing pond through a Beidou navigation technology, the GIS unit is used for acquiring geographic distribution data related to the tailing pond through a geographic information technology, the data integration unit is used for summarizing the remote sensing images, the positioning navigation data and the geographic distribution data into the geographic state information, the model creation module comprises a model construction unit and an image drawing unit, the geographic data model construction unit is used for constructing a tailing pond live-action frame through a data integration technology, the image unit is used for generating a dynamic model diagram according to the real-time change of the drawing engine and embedding the model into the tailing pond live-action frame through the preset drawing model to form a tailing pond live-action frame, the model is used for drawing the tailing pond live-action model and real-action model management model real-action information and real-time information can be conveniently used for holding the real-time information of the tailing pond, and real-time information can be obtained based on the real-time information of the real-time situation information, and the real-time situation information can be obtained, and the real-time situation information can be conveniently is recorded and real, and real-time information can be used for real and real-time information is conveniently is used for holding and a real, and real model information is based on the real model information is stored, the system can realize scientific predictability and multisource dynamic monitoring of the accidents of the tailing pond, rapidly develop emergency drawing, assist managers to rapidly perform the accidents prevention and treatment and emergency treatment of the tailing pond, and have great popularization and application prospects.
Detailed Description
The existing tailing pond monitoring technology is only used for carrying out monitoring and prevention research aiming at certain accidents, and lacks of comprehensiveness and accuracy of early warning, so that early warning is not timely before the occurrence of the accidents, emergency preparation work is delayed when the accidents occur, huge threat is brought to life and property safety of people, and adverse social influence is caused.
In order to solve the problems, the invention provides a tailing pond accident emergency modeling system and a tailing pond accident emergency modeling method based on a 3S technology, and specific embodiments of the invention are described in detail below with reference to the accompanying drawings.
In order to illustrate the multistage vibration isolation system of the precise instrument, fig. 1 shows an exemplary representation of the tailing pond accident emergency modeling system based on the 3S technology in the embodiment of the invention, and fig. 2 shows an exemplary representation of the tailing pond accident emergency modeling method based on the 3S technology in the embodiment of the invention.
The following description of the exemplary embodiment(s) is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses. Techniques and equipment known to those of ordinary skill in the relevant art may not be discussed in detail, but should be considered part of the specification where appropriate.
As shown in fig. 1, the emergency modeling system 100 for a tailings pond accident based on the 3S technology according to the embodiment of the present invention is characterized by comprising a 3S data acquisition module 110 for acquiring geographical status information in real time, a model creation module 120 for creating a tailings pond live-action model according to the geographical status information, and a model management module a for managing the tailings pond live-action model 130, wherein the 3S data acquisition module 110 at least comprises an RS unit 111, a BDS unit 112, a GIS unit 113 and a data integration unit 114, the RS unit 111 is used for acquiring remote sensing images related to the tailings pond through a high-resolution remote sensing technology, the high-resolution remote sensing technology is implemented through an unmanned plane and a three-dimensional electronic scanner, the BDS unit 112 is used for acquiring positioning navigation data related to the tailings pond through a beidou navigation technology, the GIS unit 113 is used for acquiring geographical distribution data related to the tailings pond through a geographical information technology, and the data integration unit 114 is used for summarizing the remote sensing images, the positioning navigation data and the geographical distribution data into geographical status information, and in the embodiment, the geographical status information at least comprises the tailings pond, environmental water quality change, environmental water level change, deformation, dam line data and beach data, and beach data.
In the embodiment shown in fig. 1, the model creation module 120 includes a model construction unit 121 and an image drawing unit 122, wherein the model construction unit 121 is configured to construct a tailing pond real scene frame through a data integration technology and a spatial data model technology, the image drawing unit 122 is configured to generate a dynamic model demonstration diagram according to geographical status information of real-time variation through a preset drawing engine, and embed the model demonstration diagram into the tailing pond real scene frame to form a tailing pond real scene model 130, that is, GIS, RS, BDS technology is used as a data acquisition and processing means, and the data integration and spatial data model technology is combined to realize all-weather, all-day and high-precision acquisition of tailing pond and surrounding environment data information, and construct a tailing pond accident emergency real scene model (tailing pond real scene model) according to a 3S technology, a data integration technology and a spatial data model technology, and the model is capable of realizing a forecasting function according to monitoring control indexes, and generating model diagrams of four-dimensional, three-dimensional real scene model diagrams, two-dimensional plane diagrams and other types through the drawing engine under the support of a large amount of basic data and monitoring data, so as to promote the visual effect, in this embodiment, the tailing pond accident emergency real scene is completely and real scene model is completely and dynamically demonstrated and dynamically and rapidly, and dynamically surrounding environment real scene is found by a real-time model, and the real-time accident model is found out by a real-time model, and a real-time model of a real-time operator.
In the embodiment shown in fig. 1, the model management module a can be integrated in the tailing real model 130 as a part of functional modules of the tailing real model 130, can also be independently configured in a tailing pond accident emergency modeling system based on the 3S technology as an independent functional module, is independent of the tailing real model 130, is not limited herein, and is used for storing geographic state information in the tailing real model 130, and reflects real scene information of the tailing pond in real time according to geographic state information and a model demonstration diagram based on the tailing real model 130, and makes accident early warning and early warning response based on the real scene information, namely, the tailing real model 130 is used for storing geographic state information, reflects real scene information of the tailing pond in real time according to the geographic state information and the model demonstration diagram, and makes accident early warning and early warning response based on the real scene information, and the real scene information of the tailing pond in real time, and the data access layer 131 is used for storing the geographic state information, the application layer 132 is used for storing the geographic state information, and the application layer 132 is used for storing the real state information, and the early warning response is used for generating the early warning and early warning response in real state information of the tailing pond according to the real state information, and the real state information is reflected in real time according to the model, and the real state information of the real state information, and the real state information is reflected in real state information of the real-time, and the real-time model is displayed in real-time, and the real state information is used for realizing the real-time model, and the real warning response is displayed according to the real state information.
Specifically, in the embodiment shown in fig. 1, the data access layer 131 includes a monitoring database 1311 and an external interface 1312, the monitoring database 1311 is used for storing geographic status information and other preset data information, the external interface 1312 is connected with a client operation page for implementing man-machine interaction through the client operation page, that is, functions of the data access layer 131 include data storage, adjustability and external interfaces, and the background data, monitoring data and evaluation data of the tailing pond are uniformly managed in a database form for an application layer to call, and an external interface is provided to supplement or modify project information manually (set authority) to implement man-machine interaction.
In the embodiment shown in fig. 1, the application layer 132 includes a data module 1321, a drawing module 1322, and an incident determination module 1323, wherein,
The data module 1321 is configured to perform regression statistics on the geographic status information and the model representation to determine a monitoring coefficient related to a real scene of the tailings pond;
The drawing module 1322 is configured to generate or adjust a real-time statistical map according to the monitoring coefficient;
The accident determination module 1323 is configured to determine whether the monitoring coefficient is within each preset accident threshold interval according to the real-time statistical graph, if the monitoring coefficient is within the accident threshold interval, send an early warning prompt, where the accident threshold interval is preset in advance, and is not limited herein, that is, according to monitoring data such as a buried line depth, a dam displacement, a change in a reservoir water level, a rainfall capacity in a flood season, and a change in a surrounding environment in an actual operation process of the tailing pond, the operation condition of the tailing pond is specifically analyzed, for example, a continuous numerical prediction of the dam displacement can be implemented by establishing a mathematical model by using a statistical regression method, for example, a linear regression method is used, y=a+bx, where X is time, Y is a displacement increment, and two regression coefficients (monitoring coefficients) a and b are calculated according to the monitoring data, so that the dam displacement condition can be predicted, and other monitoring data can also be predicted by the method.
According to the specification of safety monitoring technology of tailing ponds (AQ 2030-2010), tailing ponds with different grades have different early warning indexes, and an accident threshold interval of corresponding early warning needs to be set according to the grade of the specific tailing pond. The early warning index is the monitoring coefficient mentioned in the prediction, and the early warning function can be realized through on-site monitoring data and a prediction result.
In addition, in this embodiment, the application layer 132 includes a storage library for storing facility models and universal legend symbols of the tailing pond, and has functions of calling a drawing engine, monitoring control indexes and the like, and by calling data access layer data information and combining with the model storage library, the historical change of the tailing pond along with time can be dynamically displayed, and a real-time statistical diagram similar to a four-dimensional, three-dimensional real-scene diagram and a two-dimensional plan diagram is generated through the drawing engine.
In the embodiment shown in fig. 1, response layer 133 includes presentation module 1331, early warning module 1332, and custom query module 1333, wherein,
The display module 1331 is used for displaying geographic state information and model display diagrams in real time;
The early warning module 1332 is used for carrying out accident early warning according to early warning prompts, sending out alarm of accident early warning, acquiring accident type data about accident types, accident scenes, accident severity and accident occurrence range based on monitoring coefficients and real-time statistical diagrams, and manufacturing an emergency plan corresponding to the accident type data according to the accident type data and pre-acquired expert evaluation information, wherein the emergency plan comprises an emergency drawing and a dynamic demonstration diagram;
The custom inquiry module 1333 is used for retrieving geographic state information according to date or type, inputting expert evaluation information before an accident occurs or after an early warning prompt is acquired, and transmitting the expert evaluation information to the early warning module 1332 so that the early warning module can more comprehensively manufacture an emergency plan corresponding to the accident type data according to the accident type data and the expert evaluation information;
In other words, the response layer 133 displays the operation result of the whole system to the user, and can set functions of information query and input, forecast and early warning, static and dynamic model demonstration, etc., according to the monitoring control indexes (such as deformation, water level, infiltration line, etc.) set by the application layer, when the monitoring data of the tailing pond exceeds the control indexes, the alarm function is triggered, and at this time, the static and dynamic model diagram can be checked to query the monitoring information.
In summary, the emergency modeling system for the tailings pond accident based on the 3S technology provided by the invention can provide data information of a pond area and surrounding environment, such as topography change, environment water quality condition, dam deformation, infiltration line lifting, water level in the pond, dry beach related data and the like, can perform model display, real-time statistical graph and the like through a drawing engine under the support of a data integration technology and a spatial data model technology, further can provide data support for the whole-day, high-precision and rapid data information and multidimensional drawing of the pond area and surrounding environment, and provide data support for accident forecasting, early warning and emergency treatment, is suitable for the whole life cycle of the tailings pond, is convenient for workers to master the actual operation condition of the tailings pond in real time, further performs disaster prevention and reduction work, and reduces unnecessary life disaster damage.
According to the embodiment, the tailing pond accident emergency modeling system based on the 3S technology comprises a 3S data acquisition module for acquiring the geographic state information in real time, a model creation module for creating a tailing pond live-action model according to the geographic state information, and a model management module for managing the tailing pond live-action model; the 3S data acquisition module at least comprises an RS unit, a BDS unit, a GIS unit and a data integration unit, wherein the RS unit is used for acquiring remote sensing images related to the tailing pond through a high-resolution remote sensing technology, the BDS unit is used for acquiring positioning navigation data related to the tailing pond through a Beidou navigation technology, the GIS unit is used for acquiring geographic distribution data related to the tailing pond through a geographic information technology, the data integration unit is used for summarizing the remote sensing images, the positioning navigation data and the geographic distribution data into geographic state information, the model creation module comprises a model construction unit and an image drawing unit, the model construction unit is used for constructing a real-scene framework of the tailing pond through a data integration technology and a spatial data model technology, the image drawing unit is used for generating a dynamic model demonstration diagram through a preset drawing engine according to the geographic state information which varies in real time, and embedding the model diagram into the real-scene framework of the tailing pond to form a real-scene model of the tailing pond, the model management module is used for storing the geographic state information into the real-scene model of the tailing pond and reflecting real-scene information of the tailing pond in real time according to the geographic state information and real-scene information of the model demonstration diagram based on the real-scene information of the tailing pond, and the model creation module is used for making an accident early warning response and early warning response based on the real-warning information in the real-scene information, so that the real scene information is suitable for a tailing pond manager to be convenient for managing the running in real-time safety inspection and managing the real-time safety condition, the system can realize scientific predictability and multisource dynamic monitoring of the accidents of the tailing pond, rapidly develop emergency drawing, assist managers to rapidly perform the accidents prevention and treatment and emergency treatment of the tailing pond, and have great popularization and application prospects.
As shown in fig. 2, the invention further provides a tailing pond accident emergency modeling method based on the 3S technology, which adopts the tailing pond accident emergency modeling system based on the 3S technology to perform tailing pond accident emergency pre-warning, and comprises the following steps:
S1, acquiring remote sensing images related to a tailing pond through a high-resolution remote sensing technology, acquiring positioning navigation data related to the tailing pond through a Beidou navigation technology, acquiring geographic distribution data related to the tailing pond through a geographic information technology, and summarizing the remote sensing images, the positioning navigation data and the geographic distribution data into geographic state information;
S2, generating a dynamic model demonstration diagram according to the geographical state information which changes in real time through a preset drawing engine, and embedding the model demonstration diagram into a tailings pond live-action frame to form a tailings pond live-action model, wherein the tailings pond live-action frame is constructed through a data integration technology and a spatial data model technology;
And S3, storing the geographical state information through the tailing actual scene model, reflecting the real scene information of the tailing pond in real time according to the geographical state information and the model display diagram, and making accident early warning and early warning response based on the real scene information.
The process of reflecting real scene information of the tailing pond in real time according to the geographic status information and the model demonstration drawing and making accident early warning and early warning response based on the real scene information comprises the following steps:
carrying out regression statistics on the geographical state information and the model demonstration diagram to determine monitoring coefficients about the real scene of the tailing pond;
Generating or adjusting a real-time statistical graph according to the monitoring coefficient;
Judging whether the monitoring coefficient is in each preset accident threshold interval according to the real-time statistical graph, and if so, sending out an early warning prompt;
and carrying out accident early warning according to the early warning prompt, sending out an alarm of the accident early warning, acquiring accident type data about the accident type, the accident scene, the accident severity and the accident occurrence range based on the monitoring coefficient and the real-time statistical graph, and manufacturing an emergency plan corresponding to the accident type data according to the accident type data and pre-acquired expert evaluation information, wherein the emergency plan comprises an emergency drawing and a dynamic demonstration graph.
Specific detailed steps are not limited herein, and reference may be made to the embodiments of the tailings pond accident emergency modeling system based on the 3S technology described above, and detailed description thereof will be omitted herein.
The tailing pond accident emergency modeling method based on the 3S technology comprises the steps of firstly obtaining remote sensing images related to a tailing pond through a high-resolution remote sensing technology, obtaining positioning navigation data related to the tailing pond through a Beidou navigation technology, obtaining geographic distribution data related to the tailing pond through a geographic information technology, summarizing the remote sensing images, the positioning navigation data and the geographic distribution data into geographic state information, generating a dynamic model demonstration diagram through a preset drawing engine according to the geographic state information changing in real time, embedding the model demonstration diagram into a tailing pond live-action frame to form a tailing pond live-action model, constructing the tailing pond live-action frame through a data integration technology and a spatial data model technology, further storing the geographic state information through the tailing pond live-action model, reflecting the real scene information of the tailing pond according to the geographic state information and the model demonstration diagram, and making accident early warning and early warning response based on the real scene information, so as to provide data information of the tailing pond, surrounding environment and drawing rapidly in a full-time, providing data support for accident early warning and emergency treatment work, and being suitable for the whole life cycle of the tailing pond, facilitating real-time operation of working staff to master the real-time disaster prevention situation of the tailing pond, and further reducing the necessary life loss.
The tailing pond accident emergency modeling system and method based on the 3S technology according to the invention are described above by way of example with reference to the accompanying drawings. It will be appreciated by those skilled in the art that various modifications may be made to the 3S technology-based tailing pond accident emergency modeling system and method set forth above without departing from the teachings of the present invention. Accordingly, the scope of the invention should be determined from the following claims.