A mine safety monitoring system and method based on the Internet

Abstract

The present invention discloses an Internet-based mine safety monitoring system and method, including multi-dimensional monitoring such as behavior monitoring, equipment monitoring and environmental monitoring. By calculating the behavior risk coefficient, equipment risk coefficient and environmental risk coefficient, it can more accurately reflect the safety hazards caused by dangerous behaviors, production equipment failures or abnormalities, and environmental information abnormalities. When calculating the target risk level, different types of risk coefficients can be considered to achieve automatic calculation of the risk level, thus providing a basis for determining subsequent emergency response strategies.

Description

Technical Field

[0001] The present invention relates to the field of mine safety monitoring, and in particular to an Internet-based mine safety monitoring system and method. Background Art

[0002] Mineral resources are of great value to humans and society in the natural environment, and play an important role in the management of the entire ecosystem and the development of the national economy. With the increase in the use of minerals and the expansion of engineering construction, deep mining has become a trend. The mining working environment is complex and there are many types of risks. It is necessary to establish a safety monitoring system to monitor the risks of personnel, equipment, environment, etc. in the mining working environment in real time, so as to effectively ensure the safe production of mining.

[0003] At present, mining enterprises are equipped with a variety of safety monitoring systems, which are used to monitor different types of risk situations, such as video image monitoring, equipment safety production monitoring, and environmental harmful gas monitoring. However, each monitoring system is independent and alarms independently when encountering dangerous situations. It cannot automatically distinguish the level of danger. In addition, manual judgment of the level of danger and determination of the corresponding emergency response strategy are not accurate enough, which can easily lead to misjudgment and waste of resources, or safety accidents caused by failure to deal with them in a timely manner. Summary of the invention

[0004] To solve the above problems, the object of the present invention is to provide an Internet-based mine safety monitoring system and method.

[0005] In order to achieve the above objectives, the following technical solutions are provided:

[0006] A mine safety monitoring system based on the Internet, characterized in that it includes a monitoring module, a wireless transmission module, a monitoring center, and an Internet system;

[0007] The monitoring module includes a behavior monitoring unit, a device monitoring unit and an environment monitoring unit;

[0008] The behavior monitoring unit includes a plurality of first video image monitoring devices and a plurality of RFID identity authentication devices. The first video image monitoring devices are used to obtain video image information of personnel within a preset range in real time, perform face recognition, and identify the identity information of the personnel in combination with the RFID identity authentication device. The video image information of the personnel is also used to identify dangerous behaviors. The behavior risk coefficient is calculated based on the identified dangerous behaviors and the scene where the personnel are located, and the dangerous behaviors and the behavior risk coefficient are sent to the monitoring center through the wireless transmission module;

[0009] The equipment monitoring unit includes a plurality of second video image monitoring devices and a plurality of equipment status acquisition modules, wherein the equipment status acquisition modules are used to acquire the operating status of the mining equipment, and the second video image monitoring devices are used to obtain the video image information of the mining equipment within a preset range, identify the dangerous state of the equipment according to the operating status of the mining equipment and the video image information of the mining equipment, calculate the equipment danger coefficient according to the identified dangerous state of the equipment and the corresponding equipment type, and send the dangerous state of the equipment and the dangerous coefficient of the equipment to the monitoring center through the wireless transmission module;

[0010] The environmental monitoring unit includes a temperature sensor, a humidity sensor, an air pressure sensor, a carbon monoxide sensor, a carbon dioxide sensor, a methane sensor, a smoke sensor, and a microseismic sensor in the mine, identifies the environmental hazard state according to the data collected by the sensor, calculates the environmental hazard coefficient according to the identified environmental hazard state and the corresponding sensor type, and sends the environmental hazard state and the environmental hazard coefficient to the monitoring center through a wireless transmission module;

[0011] The monitoring center obtains the dangerous behavior, the dangerous state of the equipment, and the dangerous state of the environment, and sends prompt information to relevant personnel through the Internet system;

[0012] The monitoring center calculates a target risk level according to the behavior risk factor, the equipment risk factor, and the environment risk factor, and determines an emergency response strategy according to the target risk level.

[0013] As a further improvement of the present invention, the first video image monitoring device and the RFID identity authentication device are installed at a preset position on the ground or underground, and the scene is determined according to the installation position.

[0014] As a further improvement of the present invention, the first video image monitoring device and RFID identity authentication device are installed on an automatic inspection robot, and the automatic inspection robot moves freely along a prescribed route; the automatic inspection robot includes a positioning device, and the scene is determined according to the positioning information provided by the positioning device.

[0015] As a further improvement of the present invention, when a dangerous behavior is identified based on the video image information of the person, the identity information of the person corresponding to the dangerous behavior is further identified;

[0016] The identification information of the person corresponding to the dangerous behavior includes:

[0017] The first video image monitoring device is paired with the RFID identity authentication device, and an RFID tag is set on the wearable device of the staff to identify the identity information of the staff, and the identity information of the staff is jointly confirmed based on the face recognition result and the recognition result of the RFID identity authentication device;

[0018] When the first video image monitoring device cannot obtain facial information, the identity information of the person is confirmed according to the RFID identity authentication device.

[0019] As a further improvement of the present invention, the dangerous behavior includes unsafe behavior and help-seeking behavior.

[0020] As a further improvement of the present invention, the behavior risk coefficient is calculated based on the identified dangerous behavior and the scene where the person is located, and the calculation formula is:

[0021] α=∑p xi q ci

[0022] Among them, α refers to the behavior risk coefficient, p xi Refers to the weight coefficient corresponding to the ith dangerous behavior, q ci Refers to the weight coefficient corresponding to the scenario where the i-th dangerous behavior occurs.

[0023] As a further improvement of the present invention, the equipment risk coefficient is calculated according to the identified equipment risk state and the corresponding equipment type, and the calculation formula is:

[0024] β=∑p zj q sj

[0025] Where β refers to the equipment risk factor, p zj Refers to the weight coefficient corresponding to the dangerous state of the jth equipment, q sj Refers to the weight coefficient corresponding to the equipment type corresponding to the dangerous state of the jth equipment.

[0026] As a further improvement of the present invention, the environmental risk coefficient is calculated according to the identified environmental risk state and the corresponding sensor type, and the calculation formula is:

[0027] Y=∑p hk q gk

[0028] Where γ refers to the environmental risk factor, p hk Refers to the weight coefficient corresponding to the kth environmental hazard state, q gk Refers to the weight coefficient corresponding to the sensor type corresponding to the kth environmental hazardous state.

[0029] As a further improvement of the present invention, the monitoring center performs weighted summation of the behavior risk coefficient, the equipment risk coefficient, and the environment risk coefficient to obtain a target risk level.

[0030] A monitoring method for a mine safety monitoring system based on the Internet, characterized in that:

[0031] Step s1: the first video image monitoring device in the behavior monitoring unit acquires video image information of people within a preset range in real time. If dangerous behavior is identified based on the video image information of the people, face recognition is further performed, and the identity information of the people is jointly confirmed based on the face recognition result and the recognition result of the RFID identity authentication device; if the first video image monitoring device cannot acquire the face information, the identity information of the people is confirmed based on the RFID identity authentication device;

[0032] Step s2: Calculate the behavior risk coefficient according to the identified dangerous behavior and the scene where the person is located, and send the dangerous behavior and the behavior risk coefficient to the monitoring center through the wireless transmission module;

[0033] Step s3: the equipment status acquisition module in the equipment monitoring unit acquires the operating status of the mining equipment, the second video image monitoring device in the equipment monitoring unit acquires the video image information of the mining equipment within a preset range, and identifies the dangerous state of the equipment according to the operating status of the mining equipment and the video image information of the mining equipment;

[0034] Step s4: Calculate the equipment risk factor according to the identified equipment risk state and the corresponding equipment type, and send the equipment risk state and the equipment risk factor to the monitoring center through the wireless transmission module;

[0035] Step s5: the environmental monitoring unit identifies the environmental hazard state according to the data collected by the sensor, calculates the environmental hazard coefficient according to the identified environmental hazard state and the corresponding sensor type, and sends the environmental hazard state and the environmental hazard coefficient to the monitoring center through the wireless transmission module;

[0036] Step s6: The monitoring center obtains the dangerous behavior, the dangerous state of the equipment, and the dangerous state of the environment, and sends prompt information to relevant personnel through the Internet system;

[0037] Step s7: The monitoring center calculates a target risk level according to the behavior risk factor, the equipment risk factor, and the environment risk factor, and determines an emergency response strategy according to the target risk level.

[0038] The beneficial effects of the present invention are:

[0039] 1. Through multi-dimensional monitoring such as behavior monitoring, equipment monitoring and environmental monitoring, the safety production status can be known more accurately.

[0040] 2. The behavior risk coefficient is calculated through the identified dangerous behaviors and the scenes in which the personnel are located, which can more accurately reflect the safety hazards caused by dangerous behaviors; the equipment risk coefficient is calculated through the identified equipment dangerous status and the corresponding equipment type, which can more accurately reflect the safety hazards caused by production equipment failure or abnormality; the environmental risk coefficient is calculated according to the identified environmental dangerous status and the corresponding sensor type, which can more accurately reflect the safety hazards caused by abnormal environmental information.

[0041] 3. Dangerous behaviors, dangerous equipment conditions, and dangerous environmental conditions are sent to relevant personnel through the Internet system, so that relevant personnel can be informed of current safety hazard information in a timely manner.

[0042] 4. When calculating the target hazard level, different types of hazard factors can be taken into account, the information considered is more comprehensive and accurate, and the hazard level can be automatically calculated, providing a basis for determining subsequent emergency response strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and should not be regarded as limiting the scope.

[0044] Figure 1 It is a structural diagram of an Internet-based mine safety monitoring system of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present invention.

[0046] Embodiment 1

[0047] Figure 1 This is a structural diagram of an Internet-based mine safety monitoring system of the present invention. Figure 1 As shown, a mine safety monitoring system based on the Internet provided by the first embodiment of the present invention includes a monitoring module, a wireless transmission module, a monitoring center, and an Internet system;

[0048] The monitoring module includes a behavior monitoring unit, a device monitoring unit and an environment monitoring unit;

[0049] The behavior monitoring unit includes multiple first video image monitoring devices and multiple RFID identity authentication devices. The first video image monitoring devices are used to obtain video image information of people within a preset range in real time, perform face recognition, and identify the identity information of the people in combination with the RFID identity authentication device. The video image information of the people is also used to identify dangerous behaviors. The behavior risk coefficient is calculated based on the identified dangerous behaviors and the scenes in which the people are located, and the dangerous behaviors and the behavior risk coefficient are sent to the monitoring center via a wireless transmission module.

[0050] Different dangerous behaviors bring different potential safety hazards. For example, the risk factor of "smoking" is greater than "not wearing a helmet". For the same dangerous behavior, if the scene is different, the potential safety hazards are also different. For example, if the same dangerous behavior "smoking" is detected, if the scene is underground, the risk factor is greater than in the open air. The behavior risk factor calculated by the identified dangerous behavior and the scene where the person is located can more accurately reflect the potential safety hazards caused by the dangerous behavior.

[0051] The behavior risk coefficient is calculated based on the identified dangerous behavior and the scene where the person is located, and its calculation formula is:

[0052] α=∑p xi q ci

[0053] Among them, α refers to the behavior risk coefficient, p xi Refers to the weight coefficient corresponding to the ith dangerous behavior, q ci Refers to the weight coefficient corresponding to the scenario where the i-th dangerous behavior occurs.

[0054] Wherein, the first video image monitoring device and the RFID identity authentication device are installed at a preset position on the ground or underground, and the scene is determined according to the installation position.

[0055] Among them, the first video image monitoring device and RFID identity authentication device can also be installed on an automatic inspection robot, and the automatic inspection robot moves freely along a specified route; the automatic inspection robot includes a positioning device, and determines the scene according to the positioning information provided by the positioning device.

[0056] When a dangerous behavior is identified based on the video image information of the person, the identity information of the person corresponding to the dangerous behavior is further identified;

[0057] The identification information of the person corresponding to the dangerous behavior includes:

[0058] The first video image monitoring device is paired with the RFID identity authentication device, and an RFID tag is set on the wearable device of the staff to identify the identity information of the staff, and the identity information of the staff is jointly confirmed based on the face recognition result and the recognition result of the RFID identity authentication device;

[0059] Among them, when the first video image monitoring device cannot obtain facial information, for example, it monitors that a person is not wearing a safety helmet, but the person is facing away from the first video image monitoring device, so his facial information cannot be obtained. At this time, the person's identity information can be confirmed based on the RFID identity authentication device.

[0060] The dangerous behaviors include unsafe behaviors and behaviors seeking help. Unsafe behaviors refer to behaviors that bring certain safety hazards, such as smoking, not wearing a helmet, and approaching high-voltage facilities. Seeking help refers to the preset postures of people seeking help in an emergency, which can be easily identified by monitoring equipment in a timely manner.

[0061] The equipment monitoring unit includes multiple second video image monitoring devices and multiple equipment status acquisition modules. The equipment status acquisition modules are used to collect the operating status of mining equipment. The second video image monitoring devices are used to obtain video image information of mining equipment within a preset range, identify the dangerous state of equipment according to the operating status of the mining equipment and the video image information of the mining equipment, calculate the equipment danger coefficient according to the identified dangerous state of equipment and the corresponding equipment type, and send the dangerous state of equipment and the equipment danger coefficient to the monitoring center via the wireless transmission module.

[0062] For production equipment, when different faults or anomalies occur in the same production equipment, the potential safety hazards are also different. For example, the risk factor of "conveyor belt breakage" is greater than that of "foreign objects on the conveyor belt". For different types of production equipment, the potential safety hazards caused by faults or anomalies are also different. For example, the risk factor of "support equipment failure" is greater than that of "conveyor belt failure". The equipment risk factor is calculated by identifying the dangerous state of the equipment and the corresponding equipment type, which can more accurately reflect the potential safety hazards caused by the faults or anomalies of the production equipment.

[0063] The equipment risk factor is calculated based on the identified equipment risk status and the corresponding equipment type, and the calculation formula is:

[0064] β=∑pzj q sj

[0065] Where β refers to the equipment risk factor, p zi Refers to the weight coefficient corresponding to the dangerous state of the jth equipment, q sj Refers to the weight coefficient corresponding to the equipment type corresponding to the dangerous state of the jth equipment.

[0066] The environmental monitoring unit includes temperature sensors, humidity sensors, air pressure sensors, carbon monoxide sensors, carbon dioxide sensors, methane sensors, smoke sensors, and microseismic sensors in the mine. It identifies environmental hazard states based on data collected by the sensors, calculates environmental hazard coefficients based on the identified environmental hazard states and corresponding sensor types, and sends the environmental hazard states and the environmental hazard coefficients to the monitoring center via a wireless transmission module.

[0067] For environmental information, when the same type of environmental monitoring parameters are abnormal, the safety hazards caused by the severity are different. For example, the risk factor of "carbon dioxide concentration exceeds the standard by 5 times" is greater than that of "carbon dioxide concentration exceeds the standard by 0.5 times". When different types of environmental monitoring parameters are abnormal, the safety hazards caused are also different. For example, the risk factor of "carbon monoxide concentration exceeds the standard" is greater than that of "humidity exceeds the standard". The environmental risk factor is calculated based on the identified environmental risk state and the corresponding sensor type, which can more accurately reflect the safety hazards caused by abnormal environmental information.

[0068] The environmental risk coefficient is calculated according to the identified environmental risk state and the corresponding sensor type, and its calculation formula is:

[0069] γ=∑p hk q gk

[0070] Where γ refers to the environmental risk factor, p hk Refers to the weight coefficient corresponding to the kth environmental hazard state, q gk Refers to the weight coefficient corresponding to the sensor type corresponding to the kth environmental hazardous state.

[0071] The monitoring center obtains the dangerous behavior, the dangerous state of the equipment, and the dangerous state of the environment, and sends prompt information to relevant personnel through the Internet system. The wearable devices or portable devices carried by the staff can receive the prompt information sent by the Internet system. For example, the dangerous behavior is sent to the device of the person who made the dangerous behavior to prompt him to correct it in time, and it is sent to the device of the relevant management responsible person for filing and recording, so that the relevant management responsible person can provide intervention assistance according to the situation.

[0072] The monitoring center calculates a target risk level according to the behavior risk factor, the equipment risk factor, and the environment risk factor, and determines an emergency response strategy according to the target risk level.

[0073] The monitoring center performs weighted summation of the behavior risk factor, the equipment risk factor, and the environment risk factor to obtain the target risk level. The weight parameters corresponding to each risk factor are set according to historical data and relevant experience. Different types of risk factors can be considered when calculating the target risk level, and the information is considered to be more comprehensive and accurate, and the risk level can be automatically calculated, providing a basis for determining the subsequent emergency response strategy.

[0074] Embodiment 2

[0075] Embodiment 2 of the present invention provides a monitoring method for an Internet-based mine safety monitoring system.

[0076] Step s1: the first video image monitoring device in the behavior monitoring unit acquires video image information of people within a preset range in real time. If dangerous behavior is identified based on the video image information of the people, face recognition is further performed, and the identity information of the people is jointly confirmed based on the face recognition result and the recognition result of the RFID identity authentication device; if the first video image monitoring device cannot acquire the face information, the identity information of the people is confirmed based on the RFID identity authentication device;

[0077] Step s2: Calculate the behavior risk coefficient according to the identified dangerous behavior and the scene where the person is located, and send the dangerous behavior and the behavior risk coefficient to the monitoring center through the wireless transmission module;

[0078] Step s3: the equipment status acquisition module in the equipment monitoring unit acquires the operating status of the mining equipment, the second video image monitoring device in the equipment monitoring unit acquires the video image information of the mining equipment within a preset range, and identifies the dangerous state of the equipment according to the operating status of the mining equipment and the video image information of the mining equipment;

[0079] Step s4: Calculate the equipment risk factor according to the identified equipment risk state and the corresponding equipment type, and send the equipment risk state and the equipment risk factor to the monitoring center through the wireless transmission module;

[0080] Step s5: the environmental monitoring unit identifies the environmental hazard state according to the data collected by the sensor, calculates the environmental hazard coefficient according to the identified environmental hazard state and the corresponding sensor type, and sends the environmental hazard state and the environmental hazard coefficient to the monitoring center through the wireless transmission module;

[0081] Step s6: The monitoring center obtains the dangerous behavior, the dangerous state of the equipment, and the dangerous state of the environment, and sends prompt information to relevant personnel through the Internet system;

[0082] Step s7: The monitoring center calculates a target risk level according to the behavior risk factor, the equipment risk factor, and the environment risk factor, and determines an emergency response strategy according to the target risk level.

[0083] It should be understood that the monitoring method of an Internet-based mine safety monitoring system provided in this embodiment is applied to the Internet-based mine safety monitoring system in the first embodiment.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A mine safety monitoring system based on the Internet, characterized in that: Including monitoring module, wireless transmission module, monitoring center and Internet system; The monitoring module includes a behavior monitoring unit, a device monitoring unit and an environment monitoring unit; The behavior monitoring unit includes a plurality of first video image monitoring devices and a plurality of RFID identity authentication devices. The first video image monitoring devices are used to obtain video image information of persons within a preset range in real time, perform face recognition, and identify the identity information of the persons in combination with the RFID identity authentication devices. The personnel video image information is also used for dangerous behavior identification, and the behavior risk coefficient is calculated based on the identified dangerous behavior and the scene where the personnel are located, and the dangerous behavior and the behavior risk coefficient are sent to the monitoring center through the wireless transmission module; The behavior risk coefficient is calculated based on the identified dangerous behavior and the scene where the person is located, and its calculation formula is: α=∑p xi q ci Among them, α refers to the behavior risk coefficient, p xi Refers to the weight coefficient corresponding to the ith dangerous behavior, q ci Refers to the weight coefficient corresponding to the scenario of the i-th dangerous behavior; The dangerous behavior includes unsafe behavior and help-seeking behavior; the unsafe behavior refers to the behavior of personnel that brings certain safety hazards, and the help-seeking behavior refers to the preset help-seeking posture of personnel in an emergency situation to facilitate timely identification by the monitoring device; the first video image monitoring device and RFID identity authentication device are installed at a preset position on the ground or underground, and the scene is determined according to the installation position, or The first video image monitoring device and the RFID identity authentication device are installed on an automatic inspection robot, and the automatic inspection robot moves freely along a specified route; the automatic inspection robot includes a positioning device, and the scene is determined according to the positioning information provided by the positioning device; When a dangerous behavior is identified based on the video image information of the person, further identifying the identity information of the person corresponding to the dangerous behavior; The identification information of the person corresponding to the dangerous behavior includes: The first video image monitoring device is paired with the RFID identity authentication device, and an RFID tag is set on the wearable device of the staff to identify the identity information of the staff, and the identity information of the staff is jointly confirmed based on the face recognition result and the recognition result of the RFID identity authentication device; Wherein, when the first video image monitoring device cannot obtain the face information, the identity information of the person is confirmed according to the RFID identity authentication device; The equipment monitoring unit includes a plurality of second video image monitoring devices and a plurality of equipment status acquisition modules, wherein the equipment status acquisition modules are used to acquire the operating status of the mining equipment, and the second video image monitoring devices are used to obtain the video image information of the mining equipment within a preset range, identify the dangerous state of the equipment according to the operating status of the mining equipment and the video image information of the mining equipment, calculate the equipment danger coefficient according to the identified dangerous state of the equipment and the corresponding equipment type, and send the dangerous state of the equipment and the dangerous coefficient of the equipment to the monitoring center through the wireless transmission module; The equipment hazard coefficient is calculated based on the identified equipment hazard status and the corresponding equipment type. The calculation formula is: β=∑p zj q sj Where β refers to the equipment risk factor, p zj Refers to the weight coefficient corresponding to the dangerous state of the jth equipment, q sj Refers to the weight coefficient corresponding to the equipment type corresponding to the dangerous state of the jth equipment; The environmental monitoring unit includes a temperature sensor, a humidity sensor, an air pressure sensor, a carbon monoxide sensor, a carbon dioxide sensor, a methane sensor, a smoke sensor, and a microseismic sensor in the mine, identifies the environmental hazard state according to the data collected by the sensor, calculates the environmental hazard coefficient according to the identified environmental hazard state and the corresponding sensor type, and sends the environmental hazard state and the environmental hazard coefficient to the monitoring center through a wireless transmission module; The environmental hazard coefficient is calculated based on the identified environmental hazard state and the corresponding sensor type, and the calculation formula is: γ=∑p hk q gk Where γ refers to the environmental risk factor, p hk Refers to the weight coefficient corresponding to the kth environmental hazard state, q gk Refers to the weight coefficient corresponding to the sensor type corresponding to the kth environmental hazardous state; The monitoring center obtains the dangerous behavior, the dangerous state of the equipment, and the dangerous state of the environment, and sends prompt information to relevant personnel through the Internet system; sends the dangerous behavior to the equipment of the person who has committed the dangerous behavior to prompt him to correct it in time, and sends it to the equipment of the relevant management responsible person for filing records; The monitoring center calculates a target risk level according to the behavior risk factor, the equipment risk factor, and the environment risk factor, and determines an emergency response strategy according to the target risk level; The monitoring center performs weighted summation of the behavior risk factor, the equipment risk factor, and the environment risk factor to obtain a target risk level; The weight parameters corresponding to each risk factor are set based on historical data and relevant experience.

2. A monitoring method for an Internet-based mine safety monitoring system as claimed in claim 1, characterized in that: Step s1: the first video image monitoring device in the behavior monitoring unit acquires video image information of people within a preset range in real time. If dangerous behavior is identified based on the video image information of the people, face recognition is further performed, and the identity information of the people is jointly confirmed based on the face recognition result and the recognition result of the RFID identity authentication device; if the first video image monitoring device cannot acquire the face information, the identity information of the people is confirmed based on the RFID identity authentication device; Step s2: Calculate the behavior risk coefficient according to the identified dangerous behavior and the scene where the person is located, and send the dangerous behavior and the behavior risk coefficient to the monitoring center through the wireless transmission module; Step s3: the equipment status acquisition module in the equipment monitoring unit acquires the operating status of the mining equipment, the second video image monitoring device in the equipment monitoring unit acquires the video image information of the mining equipment within a preset range, and identifies the dangerous state of the equipment according to the operating status of the mining equipment and the video image information of the mining equipment; Step s4: Calculate the equipment risk factor according to the identified equipment risk state and the corresponding equipment type, and send the equipment risk state and the equipment risk factor to the monitoring center through the wireless transmission module; Step s5: the environmental monitoring unit identifies the environmental hazard state according to the data collected by the sensor, calculates the environmental hazard coefficient according to the identified environmental hazard state and the corresponding sensor type, and sends the environmental hazard state and the environmental hazard coefficient to the monitoring center through the wireless transmission module; Step s6: The monitoring center obtains the dangerous behavior, the dangerous state of the equipment, and the dangerous state of the environment, and sends prompt information to relevant personnel through the Internet system; Step s7: The monitoring center calculates a target risk level according to the behavior risk factor, the equipment risk factor, and the environment risk factor, and determines an emergency response strategy according to the target risk level.

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