Mine geotechnical engineering monitoring and evaluation emergency feedback system and method

Abstract

The invention relates to the technical field of mine engineering, and discloses a mine geotechnical engineering monitoring and evaluation emergency feedback system and method.The mine geotechnical engineering monitoring and evaluation emergency feedback system comprises a data acquisition module, a data processing module, a risk assessment module, an emergency feedback module and a user interaction module; the temperature, humidity, stress, displacement and other parameters of the underground rock-soil body of the mine can be collected in real time, and the collected data are transmitted to the data processing module through a wireless network; the data processing module processes and analyzes the collected data through a data fusion algorithm; the risk assessment module dynamically assesses the stability of the rock-soil body based on the real-time monitoring data; and the emergency feedback module automatically generates an emergency response scheme according to the evaluation result and notifies related personnel. According to the method, the safety of mine engineering can be remarkably improved, potential risks are reduced, the life safety of mine operators is guaranteed, the accident occurrence probability is reduced, and smooth production and operation of mines are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of mine engineering, and in particular to a mine geotechnical engineering monitoring, evaluation and emergency feedback system and method. Background Art

[0002] With the continuous increase of the mining depth of mines, the complexity of mine rock and soil masses is also increasing day by day, and the stability and safety of geotechnical engineering face great challenges. Most traditional mine monitoring and evaluation systems adopt single monitoring means and lack multi-dimensional real-time data fusion and evaluation means. In practical applications, the following problems often exist:

[0003] Incomplete data monitoring: Traditional monitoring systems mostly rely on a few sensors, ignoring the comprehensive assessment of the overall risks of geotechnical engineering, resulting in difficulty in obtaining effective monitoring data in a timely manner when some emergencies occur.

[0004] Lagged emergency response: When abnormal situations occur in mine geotechnical engineering, existing monitoring systems mostly rely on manual judgment or empirical speculation and lack an automated emergency feedback mechanism, resulting in a slow emergency response speed and inability to take effective measures in a timely manner.

[0005] Inconsistent evaluation criteria: Existing geotechnical engineering evaluation systems mostly adopt traditional linear or quantitative analysis methods and lack a dynamic evaluation model that can comprehensively consider multiple factors, resulting in evaluation results that cannot accurately reflect the actual risks and are difficult to provide accurate basis for decision-making.

[0006] In order to overcome the above problems, the present invention proposes a mine geotechnical engineering monitoring, evaluation and emergency feedback system and method, which can effectively improve the safety of mine engineering and reduce the probability of accidents through multi-dimensional data fusion, intelligent analysis and a rapid emergency feedback mechanism.

[0007] Therefore, we propose a mine geotechnical engineering monitoring, evaluation and emergency feedback system and method. Summary of the Invention

[0008] The present invention mainly solves the technical problems existing in the above-mentioned prior art and provides a mine geotechnical engineering monitoring, evaluation and emergency feedback system and method.

[0009] To achieve the above object, the present invention adopts the following technical solutions. A mine geotechnical engineering monitoring, evaluation and emergency feedback system includes a data acquisition module, a data processing module, a risk assessment module, an emergency feedback module and a user interaction module. The data acquisition module includes a variety of sensors, which can collect parameters such as temperature, humidity, stress, displacement of the underground rock and soil mass in the mine in real time, and transmit the collected data to the data processing module through a wireless network; the data processing module processes and analyzes the collected data through a data fusion algorithm; the risk assessment module dynamically evaluates the stability of the rock and soil mass based on real-time monitoring data; the emergency feedback module automatically generates an emergency response plan according to the evaluation result and notifies relevant personnel; the user interaction module is used to display real-time monitoring data, risk assessment results and emergency response plans to mine workers.

[0010] As a preferred technical solution of the present invention, the data acquisition module further includes a seismic sensor, a vibration sensor and a crack monitoring sensor, which are used to monitor the seismic activities, vibration changes and the expansion of rock and soil mass cracks in the mine.

[0011] As a preferred technical solution of the present invention, the data processing module uses an algorithm based on machine learning to model historical monitoring data, so as to improve the prediction accuracy of the stability change of the mine rock and soil mass.

[0012] As a preferred technical solution of the present invention, the risk assessment module includes a multi-dimensional risk assessment model, which can comprehensively consider multiple factors such as the pressure, displacement, temperature change of the rock and soil mass, and conduct real-time dynamic analysis.

[0013] As a preferred technical solution of the present invention, the emergency feedback module can automatically adjust the mine operation plan according to the risk assessment result, and notify relevant personnel through various methods such as voice, text message, APP push, etc.

[0014] As a preferred technical solution of the present invention, the user interaction module provides a data visualization function, which can display real-time monitoring data, risk assessment results and emergency response status in a graphical way.

[0015] A method for monitoring, evaluating and emergency feedback of mine geotechnical engineering includes the above-mentioned mine geotechnical engineering monitoring, evaluation and emergency feedback system, and is specifically divided into the following steps:

[0016] S1: Real-time collect monitoring data such as temperature, humidity, stress, displacement of the mine rock and soil mass through the data acquisition module;

[0017] S2: Transmit the collected data to the data processing module for data fusion and preprocessing;

[0018] S3: Dynamically assess the stability of the geotechnical body based on real-time data through the risk assessment module;

[0019] S4: Automatically generate an emergency response plan according to the risk assessment results, and notify the mine staff through the emergency feedback module;

[0020] S5: Display the real-time data, assessment results and emergency response plan through the user interaction module.

[0021] As a further limitation to the above solution, in S1, it also includes monitoring information such as earthquakes, vibrations and crack propagation underground in the mine through a variety of sensors.

[0022] As a further limitation to the above solution, in S3, through a multi-dimensional risk assessment model, comprehensively analyze parameters such as the pressure, temperature and displacement of the geotechnical body to evaluate the stability and potential risks of the geotechnical body.

[0023] The present invention provides a mine geotechnical engineering monitoring, evaluation and emergency feedback system and method. It has the following beneficial effects:

[0024] 1. Improve the monitoring accuracy of the mine geotechnical body, covering multiple important parameters such as temperature, humidity, stress and displacement, and can comprehensively monitor the state of the geotechnical body.

[0025] 2. Multi-dimensional monitoring and data fusion: Through the combined use of a variety of sensors (temperature, humidity, stress, displacement, earthquake, vibration, crack and other sensors), it can comprehensively and accurately monitor the state of the mine geotechnical body, making up for the limitations of traditional single monitoring means.

[0026] 3. Intelligent data processing and risk assessment: Adopt intelligent analysis algorithms based on data fusion and machine learning, and can accurately identify the risk change trend of the mine geotechnical body. Especially the introduction of machine learning algorithms greatly improves the prediction accuracy of the future stability change of the mine, making the system have stronger predictability.

[0027] 4. Real-time emergency feedback mechanism: When the system detects potential risks in the mine geotechnical body, it can automatically generate an emergency response plan in time, and notify relevant personnel through various methods such as text messages, voice, and APP push. The system can activate the emergency mechanism in a short time, reducing accidents caused by untimely emergency response.

[0028] 5. Visualization and decision support: The user interaction module provides a data visualization function, which can intuitively display the real-time monitoring data, risk assessment results and emergency response status. The staff can quickly understand the current risk situation and make decisions in time.

[0029] 6. Multi-level safety guarantee: The system design not only considers the monitoring and evaluation of mine rock and soil masses, but also integrates links such as early warning of sudden risks, emergency response, and personnel notification on a unified platform, forming a multi-level safety guarantee system and improving the overall safety of mine operations.

[0030] 7. System flexibility and scalability: The system has high flexibility and scalability. It can add or adjust different types of sensors according to the characteristics of different mines, and supports adjusting the risk assessment model according to different stages of mine operation, with strong adaptability. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The structures, ratios, sizes, etc. shown in this specification are only used to cooperate with the content disclosed in the specification for those familiar with this technology to understand and read, and are not used to limit the implementation conditions of the present invention. Therefore, they do not have technical essential significance.

[0032] Figure 1 It is a system framework block diagram of the mine geotechnical engineering monitoring, evaluation and emergency feedback system of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0033] Example 1

[0034] Please refer to Figure 1 As shown, a mine geotechnical engineering monitoring, evaluation and emergency feedback system includes a data acquisition module, a data processing module, a risk assessment module, an emergency feedback module and a user interaction module. The data acquisition module includes a variety of sensors, which can collect parameters such as temperature, humidity, stress, and displacement of the underground rock and soil masses in the mine in real time, and transmit the collected data to the data processing module through a wireless network; the data processing module processes and analyzes the collected data through a data fusion algorithm; the risk assessment module dynamically evaluates the stability of the rock and soil masses based on real-time monitoring data; the emergency feedback module automatically generates an emergency response plan according to the evaluation results and notifies relevant personnel; the user interaction module is used to display real-time monitoring data, risk assessment results and emergency response plans to mine workers.

[0035] The data acquisition module also includes a seismic sensor, a vibration sensor and a crack monitoring sensor, which are used to monitor the seismic activities, vibration changes and the expansion of rock and soil mass cracks in the mine.

[0036] The data processing module uses an algorithm based on machine learning to model historical monitoring data, thereby improving the prediction accuracy of the stability change of mine rock and soil masses.

[0037] The risk assessment module includes a multi-dimensional risk assessment model, which can comprehensively consider multiple factors such as the pressure, displacement, and temperature change of the rock and soil masses for real-time dynamic analysis.

[0038] The emergency feedback module can automatically adjust the mine operation plan according to the risk assessment results and notify relevant personnel through various methods such as voice, text message, and APP push.

[0039] The user interaction module provides data visualization functions and can display real-time monitoring data, risk assessment results, and emergency response status in a graphical manner.

[0040] A method for monitoring, evaluating, and providing emergency feedback in mine geotechnical engineering includes the above-mentioned system for monitoring, evaluating, and providing emergency feedback in mine geotechnical engineering, and is specifically divided into the following steps:

[0041] S1: Real-time collect monitoring data such as temperature, humidity, stress, and displacement of the mine rock and soil mass through the data collection module;

[0042] S2: Transmit the collected data to the data processing module for data fusion and preprocessing;

[0043] S3: Dynamically assess the stability of the rock and soil mass through the risk assessment module based on real-time data;

[0044] S4: Automatically generate an emergency response plan according to the risk assessment results and notify the mine staff through the emergency feedback module;

[0045] S5: Display real-time data, assessment results, and emergency response plans through the user interaction module.

[0046] In S1, it also includes monitoring information such as earthquakes, vibrations, and crack propagation underground in the mine through various sensors.

[0047] In S3, through a multi-dimensional risk assessment model, comprehensively analyze parameters such as the pressure, temperature, and displacement of the rock and soil mass to evaluate the stability and potential risks of the rock and soil mass.

[0048] Embodiment 2

[0049] Based on Embodiment 1, a system for monitoring, evaluating, and providing emergency feedback in mine geotechnical engineering consists of a data collection module, a data processing module, a risk assessment module, an emergency feedback module, and a user interaction module. Specifically, the data collection module includes temperature sensors, humidity sensors, displacement sensors, stress sensors, etc., and real-time monitors the environmental changes and deformation conditions of the mine rock and soil mass. The collected data is transmitted to the data processing module through a wireless network.

[0050] The data processing module processes and analyzes the collected data through a data fusion algorithm. For example, the data processing module first standardizes and denoises the data of different types of sensors, fuses the signals of different data sources to ensure the accuracy and integrity of the data. Subsequently, use data analysis methods to predict the trend of real-time data and conduct comparative analysis to detect abnormal changes.

[0051] Based on real-time monitoring data, combined with geological models and historical data, the risk assessment module evaluates the stability of the mine rock and soil mass in real time. For example, by calculating factors such as stress changes, cumulative displacement, and soil pressure, it assesses whether there are potential risks of landslides, collapses, or other emergencies in the mine. If the assessment result shows that there is a risk in the stability of the rock and soil mass, the system will generate an emergency response plan through the emergency feedback module and notify relevant staff to take effective emergency measures.

[0052] The data acquisition module monitors multiple parameters of the mine in real time, such as temperature, humidity, stress, and displacement, and transmits the collected data to the data processing module in real time through a wireless network.

[0053] The data processing module processes the transmitted data, removes noise, standardizes the data, and integrates the data from multiple monitoring sources through a data fusion algorithm to form a unified data set.

[0054] The risk assessment module transmits the data to the rock and soil mass stability assessment model to conduct real-time dynamic assessment of the mine rock and soil mass. The assessment result will be promptly fed back to the emergency feedback module.

[0055] Based on the assessment result, the emergency feedback module automatically generates an emergency response plan, such as changing the operation plan, stopping the operation, or initiating an emergency evacuation. The emergency feedback module notifies the mine staff through various means such as text messages, voice calls, and App push to ensure the response speed.

[0056] The user interaction module provides a visual display of real-time data, enabling staff to intuitively view the changes in various environmental parameters of the mine and the risk assessment results to ensure quick decision-making.

[0057] The system of this embodiment can perform comprehensive data fusion and analysis based on multiple parameters (such as temperature, humidity, stress, displacement, etc.), thereby enhancing the safety monitoring ability of mine geotechnical engineering. Once an anomaly is detected, the system can promptly activate the emergency feedback mechanism to ensure the safety of mine staff.

[0058] Embodiment 3

[0059] On the basis of Embodiment 2, the data acquisition module is further expanded, adding seismic sensors, vibration sensors, and crack monitoring sensors. These sensors can monitor the seismic activities, ground vibrations, and the expansion of rock and soil mass cracks in the mine. Through the integration of the data from these additional sensors, the system's monitoring ability for the mine rock and soil mass is further enhanced, especially in the detection of sudden seismic activities or vibrations and crack expansions caused by mine exploitation.

[0060] Seismic sensors are used to monitor potential seismic activities in the mining area and quickly capture vibration signals when seismic activities occur. Vibration sensors can detect changes in ground vibration during the mining process, while crack monitoring sensors are used to monitor the crack deformation of the rock and soil mass in the mine. Through the data of these sensors, the system can more comprehensively and accurately evaluate the stability of the rock and soil mass in the mine, ensuring the timely discovery of potential safety risks.

[0061] The data acquisition module not only collects temperature, humidity, stress, and displacement data, but also simultaneously obtains data from seismic, vibration, and crack sensors. The sensor data is transmitted to the data processing module in real time through a wireless network.

[0062] After receiving the data, the data processing module not only performs conventional denoising and normalization processing, but also needs to specifically consider the special processing of the data from seismic, vibration, and crack sensors. The system will judge whether these abnormal signals will affect the stability of the rock and soil mass.

[0063] The risk assessment module comprehensively considers the data from various sensors to evaluate the stability of the rock and soil mass in the mine. If an abnormal situation occurs, the system will evaluate the impact of the earthquake or vibration on the mine and judge whether emergency response measures need to be taken.

[0064] The emergency feedback module will automatically generate an emergency response plan based on the risk assessment results and notify the relevant staff through various communication methods to ensure that measures can be taken in a timely manner to respond to emergencies.

[0065] In this embodiment, by adding more sensors, especially seismic, vibration, and crack monitoring sensors, the monitoring ability of the geotechnical engineering in the mine is greatly enhanced. When abnormal fluctuations occur in the mine (such as earthquakes, vibrations, crack expansions, etc.), the system can respond in a timely manner and issue early warnings, further improving the safety of the mine.

[0066] Embodiment 4

[0067] On the basis of Embodiment 3, the data processing module introduces an algorithm based on machine learning to model the historical monitoring data, so as to improve the prediction accuracy of the stability change of the rock and soil mass in the mine. The machine learning model can automatically adjust the model parameters according to the change rules of historical data and real-time data, so as to accurately predict the future changes of the rock and soil mass.

[0068] By combining historical data with real-time monitoring data, the system can predict future possible changes through an algorithm model. For example, if a certain degree of stress concentration occurs in the rock and soil mass, the machine learning algorithm can predict whether this change will trigger a larger range of soil deformation or crack expansion, so as to give an early warning and avoid sudden accidents.

[0069] The data acquisition module not only collects real-time data, but also transmits historical monitoring data to the data processing module.

[0070] The data processing module models the historical data through machine learning algorithms and automatically optimizes the prediction model. Based on the model, it analyzes the real-time data to predict the future change trend of the rock and soil mass.

[0071] The risk assessment module evaluates the stability and potential risks of the mine rock and soil mass according to the prediction results and in combination with the current real-time monitoring data.

[0072] Once potential risks are predicted, the system will automatically generate an emergency response plan and activate the emergency feedback mechanism to notify the mine staff.

[0073] In this embodiment, by introducing machine learning algorithms, this embodiment can improve the system's prediction ability for future potential risks. The system can not only monitor the status of the mine in real time, but also predict possible safety hazards in advance, so as to make emergency preparations in advance and reduce the probability of accidents.

[0074] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed.

Claims

1. A mine geotechnical engineering monitoring and evaluation emergency feedback system, comprising a data acquisition module, a data processing module, a risk assessment module, an emergency feedback module and a user interaction module, characterized in that: The data acquisition module includes a variety of sensors, which can collect the temperature, humidity, stress, displacement and other parameters of the underground rock and soil in the mine in real time, and transmit the collected data to the data processing module through a wireless network; the data processing module processes and analyzes the collected data through a data fusion algorithm; the risk assessment module dynamically assesses the stability of the rock and soil based on the real-time monitoring data; The emergency feedback module automatically generates an emergency response plan based on the assessment results and notifies relevant personnel; the user interaction module is used to display real-time monitoring data, risk assessment results and emergency response plans to mine staff.

2. The mine geotechnical engineering monitoring and evaluation emergency feedback system according to claim 1 is characterized by: The data acquisition module also includes seismic sensors, vibration sensors and crack monitoring sensors, which are used to monitor the seismic activity, vibration changes and expansion of rock and soil cracks in the mine.

3. The mine geotechnical engineering monitoring and evaluation emergency feedback system according to claim 1 is characterized by: The data processing module uses a machine learning-based algorithm to model historical monitoring data, thereby improving the prediction accuracy of changes in the stability of mine rock and soil.

4. The mine geotechnical engineering monitoring and evaluation emergency feedback system according to claim 1 is characterized by: The risk assessment module includes a multi-dimensional risk assessment model, which can comprehensively consider multiple factors such as pressure, displacement, temperature change of the rock and soil body, and perform real-time dynamic analysis.

5. The mine geotechnical engineering monitoring and evaluation emergency feedback system according to claim 1 is characterized by: The emergency feedback module can automatically adjust the mine operation plan according to the risk assessment results and notify relevant personnel through voice, text messages, APP push and other methods.

6. The mine geotechnical engineering monitoring and evaluation emergency feedback system according to claim 1 is characterized by: The user interaction module provides a data visualization function, which can display real-time monitoring data, risk assessment results and emergency response status in a graphical manner.

7. A mine geotechnical engineering monitoring and evaluation emergency feedback method, characterized in that: The mine geotechnical engineering monitoring and evaluation emergency feedback system comprising any one of claims 1 to 3 is specifically divided into the following steps: S1: The data acquisition module collects the temperature, humidity, stress, displacement and other monitoring data of the mine rock and soil in real time; S2: Transmit the collected data to the data processing module for data fusion and preprocessing; S3: Dynamic risk assessment of rock and soil stability based on real-time data through the risk assessment module; S4: Automatically generate emergency response plans based on risk assessment results and notify mine staff through the emergency feedback module; S5: Display real-time data, assessment results and emergency response plans through user interaction modules.

8. The method for emergency feedback of monitoring and evaluation of mining geotechnical engineering according to claim 7 is characterized by: The S1 also includes monitoring information such as earthquakes, vibrations, and crack expansion underground in the mine through a variety of sensors.

9. The method for emergency feedback of monitoring and evaluation of mining geotechnical engineering according to claim 7, characterized in that: In S3, a multi-dimensional risk assessment model is used to comprehensively analyze parameters such as pressure, temperature, displacement, etc. of the rock and soil mass to assess the stability and potential risks of the rock and soil mass.

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