Intelligent sensing and multi-source data fusion strip mine high and steep slope disaster early warning method and system

Through intelligent perception network and multi-source data fusion technology, relevant information about the steep slopes of open-pit mines is obtained, which solves the problem of lack of real-time and efficient monitoring and early warning in the existing technology, real-time monitoring and advance warning of disasters are realized, and the early warning is improved. Timeliness and accuracy.

CN119479197APending Publication Date: 2025-02-18JIANGXI UNIV OF SCI & TECH
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Patent Information

Application Number
CN202411608654.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-12
Publication Date
2025-02-18

AI Technical Summary

Technical Problem

The existing technology lacks real-time and efficient monitoring and early warning methods, making it difficult to obtain multi-source collaborative monitoring information on high and steep slopes of open-pit mines, and is unable to achieve real-time monitoring and early warning of disasters.

Method used

An intelligent perception network is used to obtain relevant information on the steep slopes of open-pit mines, and the slope disaster risk warning level is obtained through multi-source data fusion method, and early warning reminders and emergency plans are generated based on the level.

Benefits of technology

Real-time monitoring and advanced warning of high steep slope disasters in open-pit mines has been achieved, and the timeliness and accuracy of early warnings has been improved, providing valuable time for emergency response.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention discloses a strip mine high and steep slope disaster early warning method and system based on intelligent sensing and multi-source data fusion, and belongs to the technical field of strip mine high and steep slope disaster intelligent early warning. According to video monitoring and multi-source dynamic sensing information, establishing a three-dimensional visualization platform for the high and steep slope disaster of the strip mine; obtaining a slope disaster risk early warning level by using a multi-source data fusion method according to the slope related information; performing early warning reminding according to the slope disaster risk early warning level; and generating a corresponding emergency scheme according to the slope disaster risk early warning level. According to the method, multi-technology, multi-level and multi-scale dynamic sensing of the high and steep slope disasters of the strip mine is carried out, a slope multi-source information integration technology and a three-dimensional visual scene are fused, the comprehensiveness, real-time performance and accuracy of data are guaranteed, and the reliability and timeliness of early warning of the high and steep slope disasters of the strip mine are effectively improved.
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Description

Technical Field

[0001] The present invention relates to an open-pit mine high and steep slope disaster early warning method and system based on intelligent perception and multi-source data fusion, belonging to the technical field of open-pit mine high and steep slope disaster early warning. Background Art

[0002] With the rapid development of my country's economy, the demand for mineral resources is increasing, and the mining scope and depth of open-pit mines are constantly increasing, thus forming many large and steep slopes. The stability problem of open-pit mine slopes is becoming increasingly prominent, posing a serious threat to mine safety production. Therefore, how to effectively monitor and warn of open-pit mine slope disasters has always been one of the key contents of research in the field of open-pit mining.

[0003] The existing technology lacks real-time and efficient monitoring and early warning means, has the problems of single monitoring indicators and low early warning timeliness, and is difficult to obtain multi-source collaborative monitoring information on slope safety, and cannot achieve real-time monitoring of high and steep slopes in open-pit mines and advance warning of disasters. In order to effectively ensure the safety of life and property within the scope of high and steep slope disasters in open-pit mines, an advanced intelligent perception and multi-source data fusion open-pit mine high and steep slope disaster early warning method and system is urgently needed to solve this problem. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide an open-pit mine high and steep slope disaster early warning method and system with intelligent perception and multi-source data fusion to solve the problems existing in the above-mentioned prior art.

[0005] The technical solution adopted by the present invention is: an open-pit mine high and steep slope disaster early warning method based on intelligent perception and multi-source data fusion, the method comprising: obtaining information related to the high and steep slope of the open-pit mine, wherein the slope related information includes slope surface displacement, rainfall, stress and vibration;

[0006] According to the slope related information, the multi-source data fusion method is used to obtain the slope disaster risk warning level;

[0007] Issue warning reminders based on the slope disaster risk warning level; generate corresponding emergency plans based on the slope disaster risk warning level.

[0008] An open-pit mine high and steep slope disaster early warning system with intelligent perception and multi-source data fusion, comprising: an intelligent perception network for obtaining information related to the high and steep slope of the open-pit mine;

[0009] The data cloud platform stores monitoring data and realizes multi-source data fusion and interpretation through the multi-phase coupling of monitoring data interpretation technology and stability evaluation technology;

[0010] The prediction module is used to obtain the slope disaster risk warning level by using multi-source data fusion method according to the slope related information;

[0011] An early warning module is used to issue early warnings of corresponding levels according to the divided slope disaster risk warning levels;

[0012] The emergency plan module is used to adopt corresponding emergency plans according to the classified slope disaster risk warning levels.

[0013] The intelligent sensing network includes a surface displacement monitoring module, a rainfall monitoring module, a video surveillance monitoring module and a blasting vibration monitoring module. The surface displacement monitoring module, the rainfall monitoring module, the video surveillance monitoring module and the blasting vibration monitoring module are respectively used to monitor the displacement, rainfall, stress and vibration of the slope.

[0014] Furthermore, the above-mentioned surface displacement monitoring module adopts GNSS, measuring robots, static level + bimetallic pipe marker and other equipment, and the core component is the Haiji HG-BX-RAG360 high-precision measurement receiver.

[0015] Furthermore, the above rainfall monitoring module adopts a piezoelectric rainfall sensor.

[0016] Furthermore, the above-mentioned video surveillance monitoring module adopts iDS-2DC7823IX-A / T54K high-definition intelligent cruise ball camera as the monitoring device.

[0017] Furthermore, the blasting vibration monitoring module adopts vibration sensors such as SCA103T and SCA61T.

[0018] Furthermore, the above-mentioned open-pit mine high and steep slope disaster warning system with intelligent perception and multi-source data fusion also includes a data cloud platform for storing the collected information related to the high and steep slopes of the open-pit mine.

[0019] Furthermore, the above-mentioned early warning module sets the early warning threshold according to the analysis results. When the deformation of the disaster body exceeds the early warning value, the alarm signal is quickly transmitted to the visualization platform and the alarm area, location and status are displayed, providing a visualization display of monitoring data and a three-dimensional digital scene of the slope. Users can view the data changes of the project and each monitoring point on the visualization software platform. When the data analysis results show that there are safety hazards on the slope or the early warning conditions are met, the early warning mechanism will be automatically triggered, and the terminal device will send the early warning information to the early warning object through sound and light alarms, mobile phone text messages, emails or remote broadcasts.

[0020] Beneficial effects of the present invention: Compared with the prior art, the effects of the present invention are as follows:

[0021] ① Real-time: The data of each monitoring module can be collected and transmitted to the data cloud platform in real time. Once an abnormality is found, early warning information will be issued immediately to improve the timeliness of disaster prevention on high and steep slopes in open-pit mines and provide valuable time for emergency response.

[0022] ② Accuracy: Through multi-source data fusion and analysis methods, the organic integration of the geographical scene of the high and steep slope of the open-pit mine and the dynamic environmental perception information is realized, which can more comprehensively reflect the slope status and improve the accuracy of the early warning.

[0023] ③ Visualization: Through the visual operation of the digital early warning platform, the monitoring data and three-dimensional digital scenes of the high and steep slopes of the open-pit mine are displayed, and the monitoring results are visualized, which is convenient for the staff to intuitively understand the slope conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A schematic diagram of a process flow of an open-pit mine high and steep slope disaster early warning method based on intelligent perception and multi-source data fusion provided by the present invention;

[0025] Figure 2 A principle connection block diagram of an open-pit mine high and steep slope disaster early warning system with intelligent perception and multi-source data fusion provided by the present invention;

[0026] Figure 3 It is a structural schematic diagram of an open-pit mine high and steep slope disaster early warning system provided by the present invention; DETAILED DESCRIPTION

[0027] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments.

[0028] Example 1: Figure 1 As shown, an open-pit mine high and steep slope disaster early warning method based on intelligent perception and multi-source data fusion, the method includes obtaining information related to the high and steep slope of the open-pit mine, wherein the slope related information includes slope surface displacement, rainfall, stress and vibration;

[0029] According to the slope related information, the multi-source data fusion method is used to obtain the slope disaster risk warning level;

[0030] Provide early warning reminders based on the slope disaster risk warning level;

[0031] Generate corresponding emergency plans based on the slope disaster risk warning level.

[0032] Example 2: Figure 2 As shown, an open-pit mine high and steep slope disaster early warning system with intelligent perception and multi-source data fusion includes:

[0033] Intelligent sensing network for real-time monitoring of key parameters such as slope displacement, vibration, and rainfall;

[0034] The data cloud platform is used to store monitoring data and realize multi-source data fusion and interpretation through the multi-phase coupling of monitoring data interpretation technology and stability evaluation technology;

[0035] Control platform, used for data transmission and monitoring the operating status of each device in the system;

[0036] The digital early warning platform establishes a three-dimensional visualization platform for high and steep slope disasters in open-pit mines based on video surveillance and multi-source dynamic perception information, determines the early warning level and sends early warning information.

[0037] Example 3: Figure 3 As shown, an open-pit mine high and steep slope disaster early warning system with intelligent perception and multi-source data fusion includes:

[0038] Intelligent sensing network, used to obtain information about high and steep slopes in open-pit mines;

[0039] The intelligent sensing network includes a surface displacement monitoring module, a rainfall monitoring module, a video monitoring module and a blasting vibration monitoring module, which are used to monitor the displacement, rainfall, stress and vibration of the slope respectively;

[0040] Among them, the surface displacement monitoring module adopts GNSS, measuring robots, static levels + bimetallic pipe markers and other equipment, and the core component is the Haiji HG-BX-RAG360 high-precision measurement receiver; working principle: According to the three-dimensional coordinate changes of the GNSS monitoring point relative to the reference point, the deformation of the deformable body is obtained, and the large-area periodic ground monitoring results are calibrated and evaluated based on the high-precision measurement point deformation data to further improve its monitoring precision and accuracy, and provide real-time deformation data of characteristic areas to make up for the shortcomings of remote monitoring in monitoring frequency.

[0041] The rainfall monitoring module uses a piezoelectric rainfall sensor. The working principle is: collect data and directly connect it to the server computer through the RS485 communication interface cable or transmit it to the server through optical fiber, wireless bridge, wireless network, etc.

[0042] The video surveillance monitoring module uses the iDS-2DC7823IX-A / T54K high-definition intelligent cruise ball camera as the monitoring device. The device is a spherical monitoring device that supports infrared night vision, 5G transmission, electronic image stabilization, intelligent cruise, intelligent rotation, IP66 waterproof and dustproof, zoom and magnification, and motion detection.

[0043] The blasting vibration monitoring module uses vibration sensors such as SCA103T and SCA61T.

[0044] Data cloud platform, used to obtain monitoring data of intelligent sensing network and generate analysis results based on the monitoring data;

[0045] The data cloud platform includes data recording module, data input module, data processing module and data analysis module. The data recording module is used to store monitoring data and establish a multi-model large database; the data input module uses 5G, Beidou and other technologies to achieve real-time transmission of monitoring data; the data processing and analysis module uses multi-source data fusion methods to process data and statistically analyze the results to achieve multi-source information fusion;

[0046] The data recording and input module is responsible for collecting multi-source monitoring data of high and steep slopes of open-pit mines obtained by the intelligent perception network, and realizes efficient integration and full interpretation of information by means of multi-phase coupling of monitoring data interpretation technology and stability rapid evaluation technology. The data collected by the sensor is transmitted to the data processing module in real time through advanced wireless communication technology.

[0047] The data processing and analysis module uses high-precision GNSS solution software (HG-Monitor), data acquisition software (HG-Acq) and other equipment. Working principle: HG-Monitor high-precision GNSS solution software processes GNSS raw data and solves the three-dimensional coordinates of the location of the measurement antenna. HG-Acq data acquisition software receives and stores data from sensors, and the data processing center performs statistics, analysis and fusion on it. Build a big data processing platform, use big data analysis algorithms and machine learning models to deeply mine and analyze data to evaluate the stability and potential risks of high and steep slopes in open-pit mines.

[0048] The control platform is responsible for controlling the accurate and timely transmission of monitoring data to the platform; monitoring the equipment status, timely discovering and handling equipment failures, and ensuring the stable operation of the sensor; at the same time, adjusting the monitoring parameters, adjusting the sensitivity and sampling frequency of the monitoring module according to actual needs to meet different monitoring needs.

[0049] The prediction module makes predictions based on the fusion analysis results of multi-source data of high and steep slopes in open-pit mines and determines the early warning judgment threshold;

[0050] An early warning module is used to issue early warnings of corresponding levels according to the divided slope disaster risk warning levels;

[0051] The early warning module sets the early warning threshold according to the analysis results. When the deformation of the disaster body exceeds the early warning value, the alarm signal is quickly transmitted to the visualization platform and the alarm area, location and status are displayed, providing a visualization display of monitoring data and a three-dimensional digital scene of the slope. Users can view the data changes of the project and each monitoring point on the visualization software platform. When the data analysis results show that there are safety hazards in the slope or the early warning conditions are met, the early warning mechanism will be automatically triggered. The terminal equipment will send the early warning information to the early warning object through sound and light alarms, mobile phone text messages, emails or remote broadcasts, realizing multi-channel and full coverage of early warning information release. In addition, users can choose to output reports to facilitate the analysis of various monitoring indicators of the mining site and diagnose its health status, thereby building an integrated service system for the digital early warning center of high and steep slopes in open-pit mines; it also includes a human-computer interaction module to realize the monitoring, analysis and optimization of high and steep slope disasters in open-pit mines. It includes a digital scene module, a chart and document visualization module, and terminal equipment. The digital scene module obtains information such as the layout and area of ​​the open-pit mine through time-series real-scene 3D analysis, integrates the geographical scene with multi-source dynamic perception information, and forms a 3D digital scene of high and steep slope disasters in the open-pit mine; the chart and document visualization module displays documents and charts, and calls and views monitoring data and forecast information in real time; the terminal equipment sends the warning information to the warning object, and establishes a warning broadcast system to achieve the triple guarantee of "intelligence, visualization, and speed", ensuring that the emergency response mechanism can be quickly activated in an emergency;

[0052] The emergency plan module is used to adopt the corresponding emergency plan according to the divided slope disaster risk warning level. It also includes a rehearsal module to obtain the evolution process of the instability of high and steep slopes in open-pit mines under different working conditions and predict the rehearsal risks and impact results of the slopes.

[0053] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An open-pit mine high and steep slope disaster early warning method based on intelligent perception and multi-source data fusion, characterized by: The method includes obtaining information related to high and steep slopes in open-pit mines, wherein the slope related information includes slope surface displacement, rainfall, stress and vibration; obtaining a slope disaster risk warning level using a multi-source data fusion method based on the slope related information; issuing warning reminders based on the slope disaster risk warning level; and generating a corresponding emergency plan based on the slope disaster risk warning level.

2. An open-pit mine high and steep slope disaster early warning system with intelligent perception and multi-source data fusion, characterized by: These include, intelligent sensing networks, used to obtain information about high and steep slopes in open-pit mines; The data cloud platform stores monitoring data and realizes multi-source data fusion and interpretation through the multi-phase coupling of monitoring data interpretation technology and stability evaluation technology; The prediction module is used to obtain the slope disaster risk warning level by using multi-source data fusion method according to the slope related information; An early warning module is used to issue early warnings of corresponding levels according to the divided slope disaster risk warning levels; The emergency plan module is used to adopt corresponding emergency plans according to the classified slope disaster risk warning levels.

3. The intelligent perception and multi-source data open-pit mine high and steep slope disaster early warning system according to claim 2 is characterized by: The intelligent sensing network includes a surface displacement monitoring module, a rainfall monitoring module, a video surveillance monitoring module and a blasting vibration monitoring module. The surface displacement monitoring module, the rainfall monitoring module, the video surveillance monitoring module and the blasting vibration monitoring module are respectively used to monitor the displacement, rainfall, stress and vibration of the slope.

4. The open-pit mine high and steep slope disaster early warning system with intelligent perception and multi-source data fusion according to claim 3 is characterized by: The surface displacement monitoring module uses GNSS, measuring robots, static level + bimetallic pipe markers and other equipment, and the core component is the Haiji HG-BX-RAG360 high-precision measurement receiver.

5. The open-pit mine high and steep slope disaster early warning system with intelligent perception and multi-source data fusion according to claim 3 is characterized by: The rainfall monitoring module uses a piezoelectric rainfall sensor.

6. The open-pit mine high and steep slope disaster early warning system with intelligent perception and multi-source data fusion according to claim 3 is characterized by: The video surveillance monitoring module uses iDS-2DC7823IX-A / T54K high-definition intelligent cruise ball camera as the monitoring equipment.

7. The open-pit mine high and steep slope disaster early warning system with intelligent perception and multi-source data fusion according to claim 3 is characterized by: The blasting vibration monitoring module uses vibration sensors such as SCA103T and SCA61T.

8. The open-pit mine high and steep slope disaster early warning system with intelligent perception and multi-source data fusion according to claim 2 is characterized by: The data cloud platform is used to store the collected information about high and steep slopes in open-pit mines.

9. The open-pit mine high and steep slope disaster early warning system with intelligent perception and multi-source data fusion according to claim 2 is characterized by: The early warning module sets the early warning threshold based on the analysis results. When the deformation of the disaster body exceeds the early warning value, the alarm signal is quickly transmitted to the visualization platform and the alarm area, location and status are displayed, providing a visualization of the monitoring data and a three-dimensional digital scene of the slope. Users can view the data changes of the project and each monitoring point on the visualization software platform. When the data analysis results show that there are safety hazards on the slope or the early warning conditions are met, the early warning mechanism will be automatically triggered, and the terminal device will send the early warning information to the warning object through sound and light alarms, mobile phone text messages, emails or remote broadcasts.

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