Coal mine safety production monitoring and emergency response integrated system

Abstract

The invention discloses a coal mine safety production monitoring and emergency response integrated system, belongs to the technical field of Internet of Things, and aims to solve the technical problem of how to realize efficient, safe and intelligent coal mine safety production monitoring and emergency response. Comprising a safety monitoring management terminal and a monitoring scheduling platform, and the safety monitoring management terminal is used for carrying out potential safety hazard analysis on a coal mine based on environmental safety parameters, equipment states, personnel position information, vital signs and videos, carrying out emergency response and rescue command according to an analysis result and an early warning level, forming early warning response information and sending the early warning response information to the monitoring scheduling platform. And the monitoring scheduling platform is used for receiving and displaying the environmental safety parameters, the equipment state, the personnel position information, the vital signs, the video, the analysis result, the early warning level and the early warning response information.

Description

Technical Field

[0001] The present invention relates to the technical field of the Internet of Things, and more specifically, to a comprehensive system for coal mine safety production monitoring and emergency response. Background Art

[0002] With the continuous expansion of coal mine production scale and the increasing requirements for safety production, coal mine safety monitoring and emergency response systems have become important tools for ensuring coal mine production safety, improving accident prevention capabilities, and emergency response efficiency. Currently, coal mine safety monitoring technologies mainly focus on environmental monitoring, equipment monitoring, personnel management, and emergency response, etc., but there are still the following technical deficiencies and application limitations:

[0003] 1. Limitations of existing safety monitoring technologies: Existing coal mine safety monitoring systems mostly rely on single monitoring means and equipment, such as traditional gas sensors, video monitoring, and personnel positioning technologies. These systems often have difficulty providing comprehensive and real-time monitoring and early warning. Although gas monitoring can detect the concentration of harmful gases in the mine, there are still deficiencies in improving the ability to handle complex gas environment changes and real-time early warning. In addition, traditional equipment monitoring and video monitoring technologies usually require a large amount of manpower for data analysis and judgment, and it is impossible to detect potential safety hazards in a timely manner;

[0004] 2. Insufficient emergency response capabilities: Currently, many coal mines rely on traditional manual command and dispatch during sudden accidents, resulting in problems such as long response times, poor information flow, and unreasonable allocation of emergency resources. Especially in mine accidents, the depths of the mines are often restricted by communication signals, resulting in a lag in the transmission of accident information, affecting timely and effective emergency response and personnel evacuation;

[0005] 3. Challenges in data collection and analysis: Coal mine safety monitoring systems need to collect and process a large amount of data, including equipment operation data, gas concentration data, video monitoring data, and personnel physiological data, etc. The data collection and storage capabilities of existing systems are limited, making it difficult to achieve efficient integration and real-time analysis of data, and unable to fully utilize advanced technologies such as big data, cloud computing, and artificial intelligence for data processing and trend prediction. Existing coal mine safety data analysis mainly relies on manual analysis, which is inefficient and has relatively high safety risks;

[0006] 4. Insufficient management of coal mine personnel: The safety management of coal mine personnel mainly relies on manual inspections and regular checks, and the real-time positioning and dynamic monitoring capabilities of personnel inside the mine are relatively weak. As a result, in case of emergencies, the distribution and status of the staff cannot be grasped in a timely manner. In addition, traditional personnel safety management systems cannot monitor the health status of miners in real time and cannot detect the health problems of miners in a timely manner during work, resulting in some emergencies not being effectively warned at an early stage;

[0007] 5. Deficiencies of the mine emergency response system: The existing coal mine emergency response systems usually lack intelligence and automation, mainly relying on manual command and fixed emergency plans. In case of emergencies, the emergency resource scheduling and decision-making support capabilities of the mine are relatively weak, and the scheduling and management of emergency resources are not flexible enough, easily leading to low emergency response efficiency and even missing the best emergency handling opportunity. The emergency response capabilities of the existing systems are affected by the complex environment of the mine and information transmission delays, making it difficult to provide timely and accurate emergency support.

[0008] How to achieve efficient, safe, and intelligent coal mine safety production monitoring and emergency response is a technical problem that needs to be solved. Summary of the Invention

[0009] The technical task of the present invention is to address the above deficiencies by providing a comprehensive system for coal mine safety production monitoring and emergency response to solve the technical problem of how to achieve efficient, safe, and intelligent coal mine safety production monitoring and emergency response.

[0010] A comprehensive system for coal mine safety production monitoring and emergency response of the present invention includes a safety monitoring management terminal and a monitoring and dispatching platform. Each coal mine is equipped with a safety monitoring management terminal, and each safety monitoring management terminal exchanges data with the monitoring and dispatching platform deployed at the remote end of the coal mine wirelessly.

[0011] The safety monitoring management terminal is used to collect the environmental safety parameters of the coal mine environment, the equipment status of the equipment in the coal mine, the personnel location information and vital signs of the staff in the coal mine, and collect the video of the production site in the coal mine. Based on the environmental safety parameters, equipment status, personnel location information and vital signs, and the video, safety hazard analysis of the coal mine is carried out to obtain the analysis result, and based on the analysis result and the predefined warning rules, warning level analysis is carried out. If the warning level is within the threshold range, it is used to carry out emergency response and rescue command according to the analysis result and warning level, form warning response information, and push the warning response information to relevant personnel, and push the environmental safety parameters, equipment status, personnel location information and vital signs, video, analysis result, warning level and warning response information to the monitoring and dispatching platform. If the warning level exceeds the threshold range, it is used to push the environmental safety parameters, equipment status, personnel location information and vital signs, video, analysis result and warning level to the monitoring and dispatching platform.

[0012] Correspondingly, if the early warning level is within the threshold range, the monitoring and dispatching platform is used to receive and display environmental safety parameters, equipment status, personnel location information and vital signs, videos, analysis results, early warning levels, and early warning response information. If the early warning level exceeds the threshold range, the monitoring and dispatching platform is used to receive and display environmental safety parameters, equipment status, personnel location information and vital signs, videos, analysis results, early warning levels, and conduct emergency response and rescue command based on the analysis results and early warning levels, form early warning response information, and push the early warning response information to relevant personnel.

[0013] Preferably, the safety monitoring and management terminal includes a coal mine environment monitoring module, an equipment monitoring module, a personnel positioning monitoring module, a video monitoring module, a local computing module, an emergency response command module, and a data transmission module;

[0014] The coal mine environment monitoring module is used to collect environmental safety parameters of the coal mine environment, including the concentration of harmful gases, wind speed, and air flow state in the mine, and send the collected gas concentration, wind speed, and air flow state to the local computing module;

[0015] The equipment monitoring module is used to collect the equipment operation status of the equipment in the coal mine. The equipment in the coal mine includes power equipment, hoist, and conveyor belt, and the operation status includes the mechanical state and thermal condition of the equipment;

[0016] The personnel positioning monitoring module is used to collect the personnel location information and vital signs of the staff in the mine, and send the personnel location information and vital signs to the local computing module;

[0017] The video monitoring module is used to collect the production environment video in the mine and send the collected video to the local computing module;

[0018] The local computing module is used to perform data preprocessing on environmental safety parameters, equipment operation status, and personnel location information and vital signs, conduct safety monitoring on the mine environment based on the preprocessed environmental safety parameters, judge the concentration of harmful gases and ventilation status in the mine, and generate air quality monitoring results. Analyze the health status of the equipment in the mine based on the preprocessed equipment operation status, judge whether there is a fault in the equipment in the mine, and generate equipment status monitoring results. Monitor the safety of the staff based on the preprocessed personnel location information and vital signs, judge whether the staff is in a dangerous state, and generate personnel status monitoring results. Analyze the video images based on a pre-configured network model, judge whether there are abnormal events in the mine, and output abnormal event monitoring results. Send the air quality monitoring results, equipment status monitoring results, personnel status monitoring results, and abnormal event monitoring results as analysis results to the emergency response command module;

[0019] The emergency response command module is used to analyze the current warning level based on the analysis results and predefined warning rules to obtain the current warning level. If the current warning level is within the threshold range, emergency response and rescue command are carried out according to the analysis results and warning level, and combined with the personnel location information, the evacuation path of personnel is generated through the AI algorithm, the warning response information including the evacuation path of personnel is generated, and the warning response information is pushed to relevant personnel. The environmental safety parameters, equipment status, personnel location information and vital signs, videos, analysis results, warning level and warning response information are pushed to the monitoring and dispatching platform through the data transmission module. If the current warning level exceeds the threshold range, the environmental safety parameters, equipment status, personnel location information and vital signs, videos, analysis results and warning level are pushed to the monitoring and dispatching platform through the data transmission module;

[0020] Correspondingly, if the current warning level exceeds the threshold range, the monitoring and dispatching platform is used to carry out emergency response and rescue command according to the analysis results and warning level, and combined with the personnel location information, the evacuation path of personnel is generated through the AI algorithm, the warning response information including the evacuation path of personnel is generated, and the warning response information is pushed to relevant personnel.

[0021] Preferably, the coal mine environment monitoring module includes a gas monitoring sub-module and a ventilation monitoring sub-module;

[0022] The gas monitoring sub-module is used to continuously monitor the concentration of harmful gases in the coal mine through different types of gas sensors, and send the collected harmful gas concentration to the local computing module through a low-power wide area network. Among them, the gas sensors include electrochemical sensors and infrared sensors;

[0023] The ventilation monitoring sub-module is used to continuously monitor the wind speed and air flow state in the mine through an anemometer and a pressure sensor, and send the wind speed and air flow state to the local computing module based on the Internet of Things technology;

[0024] Among them, gas sensors, anemometers and pressure sensors are set in each key area of the coal mine. The key areas include the mine entrance, the underground production area and the equipment maintenance area.

[0025] Preferably, the video monitoring module is used to monitor the production environment in the mine through a 4K or ultra-high-definition camera, and send the collected video to the local computing module through the H.264 video compression standard and the Real-Time Streaming Protocol (RTSP);

[0026] Correspondingly, the local computing module is used to analyze the video images based on a convolutional neural network, judge whether there are abnormal events in the mine, and output the monitoring results of abnormal events;

[0027] When analyzing video images based on a convolutional neural network, the local computing module performs parallel computing through a GPU.

[0028] Preferably, the personnel positioning and monitoring module is used to perform real-time positioning on the staff in the mine based on RFID, Bluetooth, and UWB technologies, and track and position the staff in the mine by combining BLE tags and positioning base stations. It is also used to monitor the vital signs of the staff in the mine through wearable devices, and the vital signs include heartbeat, respiration, and body temperature.

[0029] Preferably, the video monitoring module is used to send the collected production environment videos to the local computing module through Ethernet or a wireless network. The local computing module is used to decode and preprocess the production environment videos, and perform denoising, contrast enhancement, and brightness adjustment operations on the decoded video images through preprocessing;

[0030] The local computing module sends the preprocessed environmental safety parameters, equipment operation status, personnel location information, vital signs, and preprocessed video images to the distributed storage system, and regularly backs up and redundantly stores the key content.

[0031] Preferably, the local computing module is used to analyze video images based on a pre-configured network model, perform object detection and classification on video images, identify staff, vehicles, and equipment, determine whether there are abnormal behaviors or safety hazards, identify the behavior patterns of staff in video images through behavior analysis algorithms, and determine whether there are behaviors that do not conform to safety specifications to obtain abnormal event monitoring results.

[0032] And determine whether there are abnormal behaviors and safety hazards. The safety hazards include fires, equipment failures, and personnel violations of safety regulations.

[0033] Preferably, the local computing module calculates the positions of the staff through a positioning algorithm based on the personnel position information collected by the personnel positioning and monitoring module.

[0034] A comprehensive coal mine safety production monitoring and emergency response system of the present invention has the following advantages:

[0035] 1. Improve coal mine safety: By real-time monitoring of gas concentration, environmental changes, equipment status, and personnel health, it can give early warnings in time before accidents occur, reduce the occurrence of safety accidents in the mine. Introducing advanced image recognition technology and video monitoring can quickly identify abnormal behaviors or accident hazards in the mine, so as to give early warnings and interventions in time, effectively reduce the incidence of coal mine accidents, and ensure the safety of miners' lives and the production environment;

[0036] 2. Improve emergency response efficiency: The system combines automated emergency plans with real-time data analysis. It can quickly activate the emergency response mechanism when an emergency occurs, adjust production or rescue strategies in real time, ensure the most appropriate measures are taken within the shortest time. After an accident, it can quickly analyze the on-site situation through the intelligent decision-making support system, provide emergency decision-making suggestions, assist management in making the best emergency decisions, improve the speed and accuracy of emergency response, shorten the mine rescue time, and reduce the losses of the mine and personnel caused by disasters;

[0037] 3. Real-time data collection and remote monitoring: By using wireless sensor networks, Internet of Things technology, and edge computing technology, various types of coal mine data can be collected in real time and remotely transmitted to the monitoring center. It can not only provide accurate real-time information but also conduct preliminary data analysis, reducing data transmission delays. In harsh environments, it can rely on low-power technologies and adaptive transmission protocols to maintain stable data collection and transmission, achieve refined management of the entire process of mine production, effectively monitor the mine environment, ensure that the operation of each piece of equipment is within the safe range, and maximize the avoidance of accidents;

[0038] 4. Enhance personnel management and health monitoring in the mine: Through the personnel positioning system and wearable health monitoring devices (such as heart rate and body temperature monitors), the positions of miners can be tracked in real time to ensure the safety status of each person in the mine. At the same time, the physiological data of miners (such as heart rate and body temperature) can be transmitted to the monitoring platform in real time. Once an abnormality occurs, emergency measures are immediately initiated to ensure the physical health of miners and intervene in a timely manner when health abnormalities occur, significantly reducing accidents caused by physical discomfort;

[0039] 5. Intelligent decision-making support and resource scheduling: By using big data analysis and artificial intelligence technology, analyze the mine production and safety data, extract potential safety risks and production efficiency problems, and provide intelligent decision-making support to help management make precise production adjustments and safety decisions. When a mine accident occurs, through the intelligent scheduling function, optimize resource allocation, conduct effective rescue and post-disaster recovery, improve the efficiency of coal mine production management and the level of safety decision-making, reduce human errors, optimize resource use, and reduce operating costs. Description of the Drawings

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0041] The present invention will be further described below with reference to the drawings.

[0042] Figure 1 It is a structural block diagram of a comprehensive system for coal mine safety production monitoring and emergency response in an embodiment. Specific implementation manners

[0043] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and be able to implement it. However, the embodiments cited are not intended to limit the present invention. Without conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0044] An embodiment of the present invention provides a comprehensive system for coal mine safety production monitoring and emergency response, which is used to solve the technical problem of how to achieve efficient, safe, and intelligent coal mine safety production monitoring and emergency response.

[0045] Embodiment:

[0046] A comprehensive system for coal mine safety production monitoring and emergency response according to the present invention includes a safety monitoring management terminal and a monitoring and dispatching platform. Each coal mine is configured with a safety monitoring management terminal, and each safety monitoring management terminal conducts data interaction with the monitoring and dispatching platform deployed at the far end of the coal mine in a wireless manner.

[0047] The safety monitoring management terminal is used to collect the environmental safety parameters of the coal mine environment, the equipment status of the equipment in the coal mine, the personnel location information and vital signs of the staff in the coal mine, and collect the video of the production site in the coal mine. Based on the environmental safety parameters, equipment status, personnel location information and vital signs, and the video, safety hazard analysis is performed on the coal mine to obtain an analysis result, and based on the analysis result and the predefined early warning rules, early warning level analysis is performed. If the early warning level is within the threshold range, it is used to conduct emergency response and rescue command according to the analysis result and early warning level, form early warning response information, and push the early warning response information to relevant personnel, and push the environmental safety parameters, equipment status, personnel location information and vital signs, video, analysis result, early warning level, and early warning response information to the monitoring and dispatching platform. If the early warning level exceeds the threshold range, it is used to push the environmental safety parameters, equipment status, personnel location information and vital signs, video, analysis result, and early warning level to the monitoring and dispatching platform.

[0048] Correspondingly, if the early warning level is within the threshold range, the monitoring and dispatching platform is used to receive and display environmental safety parameters, equipment status, personnel location information and vital signs, videos, analysis results, early warning levels, and early warning response information. If the early warning level exceeds the threshold range, the monitoring and dispatching platform is used to receive and display environmental safety parameters, equipment status, personnel location information and vital signs, videos, analysis results, and early warning levels, and conduct emergency response and rescue command based on the analysis results and early warning levels, form early warning response information, and push the early warning response information to relevant personnel.

[0049] As a specific implementation of the safety monitoring and management terminal, it includes a coal mine environmental monitoring module, an equipment monitoring module, a personnel positioning monitoring module, a video monitoring module, a local computing module, an emergency response command module, and a data transmission module.

[0050] The coal mine environmental monitoring module is used to collect environmental safety parameters of the coal mine environment, including the concentration of harmful gases, wind speed, and air flow state in the mine, and send the collected gas concentration, wind speed, and air flow state to the local computing module.

[0051] As a specific implementation of the coal mine environmental monitoring module, the coal mine environmental monitoring module includes a gas monitoring sub-module and a ventilation monitoring sub-module. The gas monitoring sub-module is used to continuously monitor the concentration of harmful gases in the coal mine through different types of gas sensors, and send the collected concentration of harmful gases to the local computing module through a low-power wide area network. Among them, the gas sensors include electrochemical sensors and infrared sensors. The ventilation monitoring sub-module is used to continuously monitor the wind speed and air flow state in the mine through an anemometer and a pressure sensor, and send the wind speed and air flow state to the local computing module based on Internet of Things technology.

[0052] Among them, gas sensors, anemometers, and pressure sensors are installed in each key area of the coal mine. The key areas include the mine entrance, the underground production area, and the equipment maintenance area.

[0053] The equipment monitoring module is used to collect the equipment operation status of the equipment in the coal mine. The equipment in the coal mine includes power equipment, hoists, and conveyor belts. The operation status includes the mechanical state and thermal condition of the equipment.

[0054] The personnel positioning monitoring module is used to collect the personnel location information and vital signs of the staff in the mine, and send the personnel location information and vital signs to the local computing module.

[0055] As a specific implementation of the personnel positioning monitoring module, this module is used to continuously locate the staff in the mine based on RFID, Bluetooth, and UWB technologies, and track and locate the staff in the mine in combination with BLE tags and positioning base stations, and is used to monitor the vital signs of the staff in the mine through wearable devices. The vital signs include heart rate, respiration, and body temperature.

[0056] The video monitoring module is used to collect the video of the production environment in the mine and send the collected video to the local computing module.

[0057] As a specific implementation of the video monitoring module, this module is used to monitor the production environment in the mine through a 4K or ultra-high-definition camera, and send the collected video to the local computing module through the H.264 video compression standard and the Real-Time Streaming Protocol (RTSP). This module is used to send the collected production environment video to the local computing module through Ethernet or wireless network.

[0058] The local computing module sends the preprocessed environmental safety parameters, equipment operation status, personnel location information and vital signs, and the preprocessed video images to the distributed storage system, and performs regular backup and redundant storage on the key content.

[0059] The local computing module is used to perform data preprocessing on the environmental safety parameters, equipment operation status, personnel location information and vital signs. Based on the preprocessed environmental safety parameters, it conducts safety monitoring on the mine environment, judges the concentration of harmful gases and ventilation status in the mine, and generates an air quality monitoring result. Based on the preprocessed equipment operation status, it analyzes the health status of the equipment in the mine, judges whether there is a fault in the equipment in the mine, and generates an equipment status monitoring result. Based on the preprocessed personnel location information and vital signs, it monitors the safety of the staff, judges whether the staff is in a dangerous state, and generates a personnel status monitoring result. It is used to analyze the video images based on a pre-configured network model, judge whether there are abnormal events in the mine, and output an abnormal event monitoring result. It sends the air quality monitoring result, equipment status monitoring result, personnel status monitoring result, and abnormal event monitoring result as analysis results to the emergency response command module.

[0060] Among them, the local computing module calculates the position of the staff through a positioning algorithm based on the personnel location information collected by the personnel positioning monitoring module.

[0061] The local computing module is used to decode and preprocess the production environment video. Through preprocessing, it performs denoising, contrast enhancement, and brightness adjustment operations on the decoded video images, and analyzes the video images based on a convolutional neural network, judges whether there are abnormal events in the mine, and outputs an abnormal event monitoring result. When analyzing the video images based on the convolutional neural network, the local computing module performs parallel computing through the GPU.

[0062] Among them, when the local computing module analyzes video images based on a pre-configured network model, it performs object detection and classification on the video images, identifies staff, vehicles, and equipment, determines whether there are abnormal behaviors or safety hazards, identifies the behavior patterns of the staff in the video images through a behavior analysis algorithm, determines whether there are behaviors that do not conform to safety specifications, and obtains the monitoring results of abnormal events.

[0063] The local computing module sends the pre-processed environmental safety parameters, equipment operating status, personnel location information, vital signs, and pre-processed video images to the distributed storage system, and performs regular backup and redundant storage on the key content.

[0064] The emergency response command module is used to analyze the current warning level based on the analysis results and predefined warning rules, obtain the current warning level. If the current warning level is within the threshold range, it conducts emergency response and rescue command based on the analysis results and warning level, combines the personnel location information, generates a personnel evacuation path through an AI algorithm, generates warning response information including the personnel evacuation path, and pushes the warning response information to relevant personnel. It also pushes the environmental safety parameters, equipment status, personnel location information, vital signs, video, analysis results, warning level, and warning response information to the monitoring and dispatching platform through the data transmission module. If the current warning level exceeds the threshold range, it pushes the environmental safety parameters, equipment status, personnel location information, vital signs, video, analysis results, and warning level to the monitoring and dispatching platform through the data transmission module.

[0065] Correspondingly, if the current warning level exceeds the threshold range, the monitoring and dispatching platform is used to conduct emergency response and rescue command based on the analysis results and warning level, combines the personnel location information, generates a personnel evacuation path through an AI algorithm, generates warning response information including the personnel evacuation path, and pushes the warning response information to relevant personnel.

[0066] Based on the system disclosed in this embodiment, the following services are provided to realize coal mine safety production monitoring and emergency response:

[0067] 1. Coal mine safety monitoring: Real-time monitoring of the coal mine production environment to ensure coal mine production safety, including monitoring information such as gas concentration, ventilation, and equipment operating status, as follows:

[0068] (1) Real-time detection of the concentration of harmful gases (such as methane, carbon monoxide, etc.) in the coal mine to ensure the air quality of the mine. Electrochemical sensors and infrared sensors and other technologies are used to monitor the gas concentration, and low-power wide-area network (LPWAN) technology is used to achieve remote data transmission, reducing maintenance costs;

[0069] (2) Monitor the ventilation status in the mine in real time to ensure normal air circulation and avoid dangers such as gas accumulation. By installing anemometers and pressure sensors, the wind speed and air flow status in the mine are monitored in real time, and the Internet of Things technology is used to transmit data for remote monitoring of the ventilation system operation;

[0070] (3) Monitor the operation status of equipment in the coal mine in real time, including electrical equipment, hoists, conveyor belts, etc. The mechanical state and thermal condition of the equipment are monitored through vibration sensors and temperature sensors. Edge computing technology is used to process data on-site in the mine to reduce data transmission latency and provide real-time feedback on the equipment health status;

[0071] 2. Video Monitoring and Image Recognition: Through high-quality video monitoring equipment and image recognition technology, the production environment in the mine is collected in real time and automatically analyzed and processed. Potential safety hazards can be identified, dangerous situations such as miners' illegal operations, fires, and equipment failures can be detected in time, and the alarm system is automatically triggered. In addition, by combining AI and deep learning technologies, abnormal events in complex scenarios can be accurately detected and responded to, providing strong safety guarantees, specifically as follows:

[0072] (1) Collect videos of the coal mine production site in real time, transmit them to the monitoring center for processing and analysis. 4K or high-definition cameras are used for video collection to ensure clarity and detail presentation. The H.264 video compression standard and RTSP (Real-Time Streaming Protocol) are used for efficient video stream transmission;

[0073] (2) Based on image recognition technology, identify safety hazards in the coal mine area, such as personnel illegal operations, fires, and equipment failures. Convolutional neural networks (CNNs) and image classification technologies are used to identify abnormal events, and GPUs are used for parallel computing to accelerate image processing and the training and inference of deep learning algorithms;

[0074] (3) According to the results of video monitoring and image recognition analysis, trigger an alarm in real time to notify relevant personnel to take emergency measures. Instant alarms are achieved through event detection algorithms (such as anomaly detection) and push platforms (such as text messages, APP notifications), and combined with sound alarms, light alarms, and wireless network pushes to ensure accurate information transmission;

[0075] (4) Through advanced positioning technology, track the location of each staff member in the mine in real time and continuously monitor their safety status. In case of emergencies, quickly locate the miners' positions to help emergency rescue personnel reach the scene in time, monitor the miners' vital signs, such as heart rate, body temperature, etc., to ensure their safety and health status. In addition, provide emergency evacuation guidance to help the personnel in the mine evacuate from the dangerous area quickly and safely;

[0076] (5) Real - time positioning of the staff in the mine is carried out through RFID, Bluetooth or UWB technology. Based on UWB technology, high - precision personnel positioning is achieved, which is suitable for the complex environment of the mine. Combining BLE tags with positioning base stations, precise tracking and positioning of the personnel in the mine are realized;

[0077] (6) Monitor the vital signs of each staff member in the mine, such as heart rate, breathing, body temperature, etc., to judge whether they are in a dangerous state. Wearable devices (such as smart bracelets, chest straps, etc.) are used to monitor the vital signs of miners. The data is transmitted to the monitoring system through wireless technology for real - time analysis;

[0078] (7) In case of emergencies, provide a rapid evacuation path planning for the internal personnel in the mine and guide the orderly evacuation of personnel. Combining real - time data and geographical information, the best evacuation path is automatically planned through AI algorithms, and AR technology is used to provide visual evacuation path guidance for personnel to ensure rapid and safe evacuation in case of emergencies;

[0079] 3. Emergency Response and Command: Based on real - time data, environmental monitoring and personnel positioning information, the emergency plan is automatically triggered in case of emergencies, resources are dispatched and all parties are coordinated for rapid response. Through the command and dispatch system, the mine management can keep track of the development of the situation in real - time, optimize the emergency handling process, ensure the safety of personnel and equipment. In the post - disaster recovery stage, the module can also help the coal mine resume production as soon as possible through data evaluation and recovery scheduling. Specifically as follows:

[0080] (1) According to the type of emergency event (such as fire, gas explosion, etc.), automatically start the emergency plan and dispatch resources for disposal. Combining sensor data with the preset emergency plan, automatically start the emergency response procedure, use Internet of Things devices to monitor the development of the event in real - time, and automatically adjust the emergency response strategy;

[0081] (2) Provide on - site command and dispatch functions in case of emergencies, coordinate the rapid response of various departments, display the on - site environment combined with GIS technology, help the command center conduct resource dispatching, and use wireless communication technologies (such as 4G / 5G, LoRa, etc.) to ensure rapid communication between the on - site and the command center;

[0082] (3) Plan and dispatch the post - disaster recovery work to ensure that the mine resumes normal production as soon as possible. Through the cloud computing platform, conduct post - disaster data recovery and resource dispatching, combine AI algorithms to evaluate the post - disaster losses, and optimize the resource recovery plan.

[0083] The above has introduced in detail a comprehensive system for coal mine safety production monitoring and emergency response. In this article, specific examples are used to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A comprehensive system for coal mine safety production monitoring and emergency response, characterized in that, It includes a safety monitoring and management terminal and a monitoring and dispatching platform. Each coal mine is equipped with a safety monitoring and management terminal, and each safety monitoring and management terminal interacts with the monitoring and dispatching platform deployed at the remote end of the coal mine through wireless means for data exchange; The safety monitoring and management terminal is used to collect the environmental safety parameters of the coal mine environment, the equipment status of the equipment in the coal mine, the personnel location information and vital signs of the staff in the coal mine, and collect the video of the production site in the coal mine. Based on the environmental safety parameters, equipment status, personnel location information and vital signs, and the video, it conducts safety hazard analysis on the coal mine to obtain the analysis results, and conducts early warning level analysis based on the analysis results and predefined early warning rules. If the early warning level is within the threshold range, it is used to conduct emergency response and rescue command according to the analysis results and early warning level, form early warning response information, and push the early warning response information to relevant personnel, and push the environmental safety parameters, equipment status, personnel location information and vital signs, video, analysis results, early warning level and early warning response information to the monitoring and dispatching platform. If the early warning level exceeds the threshold range, it is used to push the environmental safety parameters, equipment status, personnel location information and vital signs, video, analysis results and early warning level to the monitoring and dispatching platform; Correspondingly, if the early warning level is within the threshold range, the monitoring and dispatching platform is used to receive and display the environmental safety parameters, equipment status, personnel location information and vital signs, video, analysis results, early warning level and early warning response information. If the early warning level exceeds the threshold range, the monitoring and dispatching platform is used to receive and display the environmental safety parameters, equipment status, personnel location information and vital signs, video, analysis results, early warning level, and conduct emergency response and rescue command according to the analysis results and early warning level, form early warning response information, and push the early warning response information to relevant personnel.

2. The integrated system for coal mine safety production monitoring and emergency response according to claim 1, wherein The safety monitoring and management terminal includes a coal mine environment monitoring module, an equipment monitoring module, a personnel positioning monitoring module, a video monitoring module, a local computing module, an emergency response command module, and a data transmission module; The coal mine environment monitoring module is used to collect the environmental safety parameters of the coal mine environment, including the concentration of harmful gases in the mine, wind speed, and air flow state, and send the collected gas concentration, wind speed, and air flow state to the local computing module; The equipment monitoring module is used to collect the equipment operation status of the equipment in the coal mine. The equipment in the coal mine includes power equipment, hoist, and conveyor belt, and the operation status includes the mechanical state and thermal condition of the equipment; The personnel positioning monitoring module is used to collect the personnel location information and vital signs of the staff in the mine, and send the personnel location information and vital signs to the local computing module; The video monitoring module is used to collect the production environment video in the mine, and send the collected video to the local computing module; The local computing module is used to perform data preprocessing on environmental safety parameters, equipment operating status, personnel location information, and vital signs. Based on the preprocessed environmental safety parameters, it monitors the safety of the mine environment, judges the concentration of harmful gases and ventilation status in the mine, and generates air quality monitoring results. Based on the preprocessed equipment operating status, it analyzes the health status of the equipment in the mine, judges whether there are faults in the equipment in the mine, and generates equipment status monitoring results. Based on the preprocessed personnel location information and vital signs, it monitors the safety of the staff, judges whether the staff is in a dangerous state, and generates personnel status monitoring results. It is used to analyze video images based on a pre-configured network model, judge whether there are abnormal events in the mine, and output abnormal event monitoring results. It sends the air quality monitoring results, equipment status monitoring results, personnel status monitoring results, and abnormal event monitoring results as analysis results to the emergency response command module; The emergency response command module is used to analyze the current warning level based on the analysis results and predefined warning rules to obtain the current warning level. If the current warning level is within the threshold range, it conducts emergency response and rescue command according to the analysis results and warning level, combines the personnel location information, generates a personnel evacuation path through the AI algorithm, generates warning response information including the personnel evacuation path, and pushes the warning response information to relevant personnel. It pushes the environmental safety parameters, equipment status, personnel location information and vital signs, video, analysis results, warning level, and warning response information to the monitoring and dispatching platform through the data transmission module. If the current warning level exceeds the threshold range, it pushes the environmental safety parameters, equipment status, personnel location information and vital signs, video, analysis results, and warning level to the monitoring and dispatching platform through the data transmission module; Correspondingly, if the current warning level exceeds the threshold range, the monitoring and dispatching platform is used to conduct emergency response and rescue command according to the analysis results and warning level, combine the personnel location information, generate a personnel evacuation path through the AI algorithm, generate warning response information including the personnel evacuation path, and push the warning response information to relevant personnel.

3. The integrated system for coal mine safety production monitoring and emergency response according to claim 2, characterized in that, The coal mine environmental monitoring module includes a gas monitoring sub-module and a ventilation monitoring sub-module; The gas monitoring sub-module is used to continuously monitor the concentration of harmful gases in the coal mine through different types of gas sensors, and send the collected harmful gas concentration to the local computing module through a low-power wide area network. Among them, the gas sensors include electrochemical sensors and infrared sensors; The ventilation monitoring sub-module is used to continuously monitor the wind speed and air flow status in the mine through an anemometer and a pressure sensor, and send the wind speed and air flow status to the local computing module based on the Internet of Things technology; Among them, gas sensors, anemometers, and pressure sensors are installed in each key area of the coal mine. The key areas include the mine entrance, underground production area, and equipment maintenance area.

4. The integrated system for coal mine safety production monitoring and emergency response according to claim 2, wherein, The video monitoring module is used to monitor the production environment in the mine through a 4K or ultra-high-definition camera, and send the collected video to the local computing module through the H.264 video compression standard and the Real-Time Streaming Protocol (RTSP); Correspondingly, the local computing module is used to analyze the video images based on a convolutional neural network, determine whether there are abnormal events in the mine, and output the monitoring results of abnormal events; When analyzing the video images based on the convolutional neural network, the local computing module performs parallel computing through a GPU.

5. The integrated system for coal mine safety production monitoring and emergency response according to claim 2, wherein The personnel positioning and monitoring module is used to perform real-time positioning on the staff in the mine based on RFID, Bluetooth, and UWB technologies, and combine BLE tags and positioning base stations to track and position the staff in the mine. It is also used to monitor the vital signs of the staff in the mine through wearable devices. The vital signs include heart rate, respiration, and body temperature.

6. The integrated system for coal mine safety production monitoring and emergency response according to claim 2, characterized in that The video monitoring module is used to send the collected production environment video to the local computing module through Ethernet or wireless network. The local computing module is used to decode and preprocess the production environment video, and perform operations such as denoising, enhancing contrast, and adjusting brightness on the decoded video images through preprocessing; The local computing module sends the preprocessed environmental safety parameters, equipment operation status, personnel location information, vital signs, and preprocessed video images to the distributed storage system, and performs regular backup and redundant storage on the key content.

7. The integrated system for coal mine safety production monitoring and emergency response according to claim 2, wherein, The local computing module is used to analyze the video images based on a pre-configured network model, perform object detection and classification on the video images, identify staff, vehicles, and equipment, determine whether there are abnormal behaviors or safety hazards, and identify the behavior patterns of the staff in the video images through behavior analysis algorithms to determine whether there are behaviors that do not conform to safety specifications, and obtain the monitoring results of abnormal events.

8. The integrated system for coal mine safety production monitoring and emergency response according to claim 2, characterized in that, The local computing module calculates the positions of the staff through a positioning algorithm based on the personnel position information collected by the personnel positioning and monitoring module.

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