Coal mine safety risk grade assessment system

Abstract

The invention belongs to the technical field of evaluation systems, and particularly relates to a coal mine safety risk grade evaluation system which comprises an environment monitoring module, a dynamic adjustment module, an early warning module, a grading guide module and a linkage control module. The real-time accurate sensing and advanced early warning of the water burst risk are realized, and the problem of monitoring lag is solved. By constructing a dense underground sensor network, tiny fluctuations of key data such as water inflow, water level, equipment state and the like can be continuously acquired, and real-time and precise data acquisition is realized. In combination with geological data and trend analysis of the intelligent early warning module, passive response of the system is changed into active prediction, early warning can be given out before the water burst risk occurs or at the initial stage of the water burst risk, and the response time is greatly shortened.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of evaluation systems, and particularly relates to a coal mine safety risk level evaluation system. BACKGROUND

[0002] In the coal mine mining operation, the safety risk is complex and diverse and the situation is severe. In the key areas of the coal mine underground, such as the roadway and the water sump, there are potential safety hazards such as water inrush. At present, there are many deficiencies in the monitoring and evaluation means of these risks.

[0003] On the one hand, the traditional monitoring method often cannot realize real-time and accurate data collection and update, and cannot timely capture the slight fluctuation of the water level and other key indicators, resulting in lagging perception of water inrush threat.

[0004] On the other hand, the monitoring of the equipment operation state is not perfect, and the equipment failure hidden danger cannot be accurately predicted in advance, so that the key equipment such as drainage may appear unexpected failure and cannot guarantee the normal drainage function, and further aggravate the water inrush risk.

[0005] In terms of risk assessment and response strategy, there is a lack of scientific and systematic grading evaluation system and dynamic adjustment mechanism, and it is difficult to develop reasonable and effective equipment operation restrictions, personnel evacuation guidance and other measures according to different risk levels, which easily leads to confusion in emergency response, difficulty in ensuring personnel safety and damage to equipment and other adverse consequences.

[0006] At the same time, the planning of escape route also lacks real-time dynamic adjustment and accurate guidance, and cannot timely optimize the layout of refuge points and escape path according to the change of water inrush risk, which affects the escape efficiency and safety of miners in the event of disaster. SUMMARY

[0007] In view of the above technical problems, the present application provides a coal mine safety risk level evaluation system, which aims to solve the problems of inaccurate and untimely monitoring, lack of scientific grading and dynamic adjustment mechanism, and imperfect escape guidance in the existing coal mine safety risk evaluation and response.

[0008] In order to solve the above technical problems, the technical scheme adopted by the present application is as follows: A coal mine safety risk level evaluation system, comprising: An environmental monitoring module: collecting water inrush amount, water level, drainage equipment operation state and equipment modification construction area data in real time through an underground sensor network; A dynamic adjustment module: dynamically limiting the operation intensity of the equipment associated with the water threatened area according to the comparison data of real-time water inrush amount and drainage capacity; An intelligent early warning module: predicting the water inrush risk based on the drainage equipment operation load, water level change trend and equipment modification construction area, and generating a dynamic escape route; Hierarchical guiding module: according to the production period and the personnel position, the escape route instruction is pushed by the sound and light equipment differentiation; Linkage control module: the output data of the environmental monitoring module, the dynamic adjustment module, the intelligent early warning module and the hierarchical guiding module are integrated to the central control console, realizing the collaborative management of water level monitoring, equipment production limitation and escape scheduling.

[0009] The dynamic adjustment module comprises: Drainage capacity grading unit: according to the proportional relationship between real-time drainage capacity and maximum water inflow, the area is divided into multiple risk levels; Device operation limiting unit: based on the risk level, the associated device is subjected to differentiated operation intensity limitation; Water level linkage control unit: according to the change of the water sump water level, the operation strategy of the device under each risk level is dynamically adjusted.

[0010] The drainage capacity grading unit is also used to introduce temporary risk levels during the drainage system reconstruction stage, and automatically remove the corresponding restrictions according to the stable operation time after the reconstruction is completed.

[0011] The device operation limiting unit is also configured to exempt the emergency drainage device, communication guarantee device and rescue engineering device from operation.

[0012] The hierarchical guiding module comprises: Period response unit: for identifying production and non-production periods, and starting different intensity guiding strategies accordingly; Autonomous ability assessment unit: the personnel autonomous escape ability is assessed through historical escape behavior data, and the guiding strategy is dynamically adjusted; Guiding optimization unit: when the personnel show stable escape ability, the guiding intensity is gradually reduced.

[0013] The water level linkage control unit is also used to further tighten the operation limitation of the device in the area of the corresponding risk level according to the proportion of the water level exceeding the safety threshold.

[0014] The intelligent early warning module comprises: Water inflow risk prediction unit: based on the construction area geological data and real-time water inflow trend, short-term water inflow risk prediction is carried out; Escape route optimization unit: according to the predicted risk value, the distribution density of risk avoidance points and the path selection strategy in the escape path are dynamically adjusted.

[0015] The escape route optimization unit is also configured to preferentially select the dense path of refuge points in high-risk situations, and preferentially select the shortest path principle in low-risk situations.

[0016] The device operation limiting unit is further configured to exclude operation limitation on emergency rescue equipment, drainage enhancement equipment and emergency communication equipment to ensure emergency capability during risk control.

[0017] The system further comprises a system self-optimization module configured to periodically check system data consistency and response delay and automatically trigger calibration or optimization process when detecting an abnormality.

[0018] Compared with the prior art, the present application has the beneficial effects that: Real-time and accurate perception and early warning of water inrush risk are achieved, and the monitoring lag problem is solved. By constructing a dense downhole sensor network (environmental monitoring module), the system can continuously collect the slight fluctuations of key data such as water inrush volume, water level and equipment state, realizing real-time and accurate data acquisition. In combination with the geological data and trend analysis of the intelligent early warning module, the system changes from passive response to active prediction, which can issue an early warning before or at the early stage of water inrush risk, greatly shortening the response time.

[0019] A scientific and dynamic risk grading evaluation and control system is established, and the problem of extensive response measures is solved. The system, through the dynamic adjustment module, for the first time takes the ratio relationship (K value) between real-time drainage capacity and maximum water inrush volume as the core quantitative index, realizing automatic and fine division of risk grades. Based on the grades, the system implements differentiated and automatic operation intensity limitation on production equipment, forming a scientific management closed loop of "water determines production and dynamic control", which completely changes the situation of relying on manual experience and extensive decision-making in the past, ensuring safety and minimizing unnecessary production loss.

[0020] An intelligent and differentiated emergency evacuation guidance is provided, improving the efficiency and safety of escape. The grading guidance module realizes differentiated pushing of escape instructions by identifying production / non-production periods and evaluating personnel's self-escape ability, avoiding the confusion or neglect caused by "one-size-fits-all" alarms. The escape route optimization unit in the intelligent early warning module can dynamically plan the optimal path according to the predicted risk value (preferably choose the path with more shelters in high-risk situations, and prefer the shortest path in low-risk situations).

[0021] The emergency support capability is ensured, and the balance between safety and emergency is achieved. The system is highly practical in design, with an exemption mechanism in the device operation limiting unit for key equipment such as emergency drainage, rescue engineering and communication support, which ensures that the core emergency rescue capability of the system remains online throughout the risk control process, avoiding weakening the fundamental ability to respond to disasters due to production limitation, and achieving a perfect balance between production safety and emergency support.

[0022] A collaborative management closed loop integrating monitoring, early warning, control and guidance is formed, improving the reliability of the system.

[0023] In summary, the present application builds a complete technology system from accurate risk perception, to scientific hierarchical decision-making, to intelligent dynamic regulation and guidance through the synergistic innovation of multiple modules, effectively solves the key technical problems such as "monitoring lag, decision-making extensive, guidance static, system isolated" in traditional coal mine safety monitoring systems, and comprehensively improves the intelligent level and safety guarantee capability of coal mine in dealing with water disaster risks. BRIEF DESCRIPTION OF DRAWINGS

[0024] Figure 1 is the principle block diagram of the present application. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present application will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments.

[0026] A coal mine safety risk grade evaluation system, as shown in Figure 1 , integrates Internet of Things monitoring, big data analysis, intelligent early warning and linkage control, aiming to realize dynamic, accurate and intelligent management of water disaster risks in coal mine underground.

[0027] The system includes the following core modules: Environmental monitoring module: This module is the basic data source of the system, responsible for collecting all kinds of data related to water disasters underground. Specifically, this module collects real-time data through a multi-source sensor network (such as pressure sensors, flow meters, liquid level meters, equipment state sensors, etc.) deployed underground.

[0028] The collected data mainly include but are not limited to: real-time water inflow of each monitoring point, water level of main sumps and roadways, running state (including start / stop, running current, voltage, efficiency, etc.) of various drainage equipment (such as water pumps), and environmental data (such as vibration, personnel activity, engineering progress, etc.) of areas undergoing equipment modification or construction. All collected data is transmitted in real time to the system data center through industrial ring network or wireless sensor network.

[0029] Dynamic adjustment module: This module is one of the core decision-making modules of the system, used to dynamically adjust production strategies according to real-time water conditions, realizing "water-based production".

[0030] This module further includes a drainage capacity grading unit, a device operation limiting unit and a water level linkage control unit.

[0031] Drainage capacity grading unit: This unit is built-in risk assessment algorithm. It first calculates the real-time drainage capacity of the current system and the ratio (K) of the historical maximum water inflow provided by the geological data (or the designed maximum disaster resistance capacity). According to the size of the ratio K, the area threatened by water in the underground is dynamically divided into multiple risk levels (for example: safe (K>1.2), low risk (1.0

[0032] Device operation restriction unit: This unit receives the risk level signal from the drainage capacity grading unit. Based on different risk levels, the associated production devices (such as coal mining machines, conveyors, etc.) in the corresponding area are implemented with differentiated operation intensity restrictions. For example, in the "medium risk" level, the device operation efficiency can be limited to 80% of the rated power; in the "high risk" level, it can be further limited to 50% or directly execute the shutdown instruction.

[0033] Water level linkage control unit: This unit realizes more refined control. It continuously monitors the change trend of the water level in the sump. Even within the same risk level, if the water level exceeds a certain proportion of the safety threshold (such as the water level reaching 90% of the safe capacity), the unit will further tighten the operation restrictions of the devices in the area, forming a negative feedback closed-loop control to ensure that the drainage capacity always has a safety margin.

[0034] During the drainage system upgrading and reconstruction construction, this module will introduce a "temporary risk level". This level is usually considered as "high risk", and triggers the corresponding device restrictions to compensate for the system capacity decline caused by the shutdown of part of the drainage equipment. After the completion of the reconstruction, the system needs to go through a preset "stable operation time" (such as 24 hours of continuous fault-free operation) verification, and after the verification is passed, the system will automatically remove the temporary risk level and the corresponding restriction measures.

[0035] The above-mentioned device operation restriction strategy has an exemption mechanism. For emergency drainage equipment, rescue engineering equipment (such as drilling machines), communication guarantee equipment and other key equipment for risk response, their operation is not limited, on the contrary, the system will prioritize the power supply and operation permission to ensure that the emergency guarantee capacity of the whole system is not affected during the production restriction period.

[0036] Intelligent early warning module: This module is responsible for forward-looking risk prediction and escape plan generation.

[0037] Water inflow risk prediction unit: This unit combines real-time data (water inflow, water level change rate) from the environmental monitoring module and static geological data (such as the tectonic zone of the construction area, aquifer, aquiclude thickness, reconstruction engineering progress) to use machine learning or time series analysis algorithm for short-term water inflow risk prediction, outputting a quantitative risk prediction value.

[0038] Escape route optimization unit: This unit receives risk prediction values. As claimed in claims 7 and 8, its core algorithm dynamically optimizes the escape path according to the risk level. The specific strategy is: in the case of high risk prediction, the path with the highest safety and the densest distribution of refuge points is preferred, even if it is not the shortest; in the case of low risk, the shortest path principle is switched to evacuate personnel as quickly as possible. The system has a built-in underground map model that can calculate and generate the optimal dynamic escape route in real time.

[0039] Hierarchical guidance module: This module is responsible for efficiently and accurately conveying warning information to underground personnel.

[0040] Time period response unit: This unit identifies whether it is a production period or a maintenance / non-production period. In the production period, personnel are dispersed, and the system will start the highest intensity guidance strategy (such as full-area sound and light alarm, voice broadcast, frequent refresh of instructions); in the non-production period, personnel are relatively concentrated, and the guidance frequency can be appropriately reduced to avoid unnecessary panic.

[0041] Self-capability assessment unit: This unit is an intelligent learning unit. The system assesses and profiles the self-escape capabilities of personnel in specific areas or teams by recording and analyzing historical escape behavior data such as average response speed and evacuation efficiency in previous drills or real warning.

[0042] Guidance optimization unit: This unit dynamically adjusts the guidance strategy based on the above assessment results. For areas with high self-escape capability assessment, the system can gradually reduce the intensity or frequency of sound and light alarms and rely more on signs and broadcasts; for areas with weak capabilities, high-intensity and high-frequency guidance is maintained to ensure the effectiveness of information transmission.

[0043] Linkage control module: This module is the "central nervous system" of the entire system. It integrates output data from all modules such as environmental monitoring, dynamic adjustment, intelligent warning, and hierarchical guidance, and displays it on the comprehensive dashboard of the central control console. Control personnel can view the overall information of water conditions, equipment status, risk level, escape route, and guidance status through this dashboard.

[0044] More importantly, this module realizes the collaborative management between subsystems: water level monitoring data triggers the dynamic adjustment module to make production limiting decisions; production limiting state and warning information are synchronized to the hierarchical guidance module to guide evacuation; the status and data of the entire process are unified and fed back to the central control console, forming a complete "monitoring, decision-making, control, and feedback" intelligent closed loop.

[0045] System self-optimization module: the system also preferably includes a system self-optimization module. As the "immune system" of the system, the module automatically performs verification tasks regularly (e.g., every 24 hours), including: verifying the consistency of sensor data and central database data, detecting the response delay of the entire link from data collection to instruction issuance. Once data anomalies (such as sensor failure, excessive data deviation) or response delays exceeding the safety threshold are detected, the module will automatically trigger calibration processes (such as resetting sensors, switching to backup links) or optimization processes (such as clearing caches, optimizing algorithm parameters), ensuring the continuous, stable, and reliable operation of the system.

[0046] The system provided by the embodiments of the present application realizes the leap from passive monitoring to active early warning, from extensive management to precise regulation, and from unified evacuation to hierarchical guidance in coal mine water disasters through the cooperative work of the above-mentioned modules, significantly improving the intelligent level and emergency support capability of coal mine safety production.

[0047] The above only describes the preferred embodiments of the present application in detail, but the present application is not limited to the above embodiments.

Claims

1. A coal mine safety risk level assessment system, characterized in that, include: Environmental monitoring module: Real-time data collection of water inflow, water level, drainage equipment operation status, and equipment modification and construction area data through downhole sensor network; Dynamic adjustment module: Based on the comparison data of real-time water inflow and drainage capacity, dynamically limit the operating intensity of related equipment in the water-threatened area; Intelligent early warning module: Based on the operating load of drainage equipment, water level change trend and equipment renovation construction area, predict the risk of water inrush and generate dynamic escape routes; Tiered guidance module: Based on the production period and personnel location, it pushes out escape route instructions in a differentiated manner through sound and light equipment; Linkage control module: Integrates the output data of environmental monitoring module, dynamic adjustment module, intelligent early warning module, and hierarchical guidance module to the central control console to realize the coordinated management of water level monitoring, equipment production limitation and escape scheduling.

2. The coal mine safety risk level assessment system according to claim 1, characterized in that, The dynamic adjustment module includes: The drainage capacity classification unit divides the area into multiple risk levels based on the ratio of real-time drainage capacity to maximum inflow. The equipment operation restriction unit implements differentiated operation intensity restrictions on associated equipment based on the risk level; The water level linkage control unit dynamically adjusts the operating strategy of the equipment under each risk level according to the changes in the water level of the water tank.

3. The coal mine safety risk level assessment system according to claim 2, characterized in that: The drainage capacity classification unit is also used to introduce temporary risk levels during the drainage system renovation phase, and to automatically remove the corresponding restrictions based on the stable operating time after the renovation is completed.

4. The coal mine safety risk level assessment system according to claim 2, characterized in that: The equipment operation restriction unit is also configured to exempt emergency drainage equipment, communication support equipment, and disaster relief engineering equipment from operation.

5. The coal mine safety risk level assessment system according to claim 1, characterized in that, The hierarchical guidance module includes: The time-period response unit is used to identify production and non-production periods and initiate guidance strategies of different intensities accordingly. The self-responsibility assessment unit evaluates individuals' self-responsibility escape ability through historical escape behavior data and dynamically adjusts guidance strategies. The guidance optimization unit gradually reduces the guidance intensity as personnel demonstrate a stable ability to escape.

6. The coal mine safety risk level assessment system according to claim 2, characterized in that: The water level linkage control unit is also used to further tighten the equipment operation restrictions in the corresponding risk level area according to the proportion of water level exceeding the safety threshold.

7. The coal mine safety risk level assessment system according to claim 1, characterized in that, The intelligent early warning module includes: The water inrush risk prediction unit makes short-term water inrush risk predictions based on geological data of the construction area and real-time water inrush trends. The escape route optimization unit dynamically adjusts the distribution density of safe points and the path selection strategy in the escape route based on the predicted risk value.

8. The coal mine safety risk level assessment system according to claim 7, characterized in that: The escape route optimization unit is also configured to prioritize routes with dense refuge points in high-risk situations and prioritize routes with the shortest path in low-risk situations.

9. A coal mine safety risk level assessment system according to claim 2, characterized in that: The equipment operation restriction unit is also used to remove operational restrictions on emergency rescue equipment, drainage enhancement equipment, and emergency communication equipment to ensure emergency response capabilities during risk control.

10. A coal mine safety risk level assessment system according to claim 1, characterized in that, It also includes a system self-optimization module, which is used to periodically check the consistency of system data and response latency, and automatically trigger calibration or optimization processes when an anomaly is detected.

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