Coal mine safety risk early warning analysis method

Abstract

The invention relates to the field of coal mines, and discloses a coal mine safety risk early warning analysis method and method.The coal mine safety risk early warning analysis system comprises a sensor module, and the sensor module is connected with a basic management module, a temperature and humidity sensor, a dust sensor and a positioning sensor; the sensor module is connected with a motion sensor. A coal mine monitoring center and a three-dimensional terrain scene are fused, all coal mines are monitored and managed in a unified and real-time mode, a manager globally masters the use state information of the coal mines, meanwhile, electronic monitoring management of coal mine files can be achieved based on the monitoring center, the future progress of a project is predicted in a visual mode through analysis of the monitoring center, and the real-time monitoring management of the coal mines is achieved. Through analysis of the monitoring center, the future progress of the project is predicted in a visual mode, project tardiness is effectively prevented, and project risks are reduced; and managing system data through the integrated project.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mines, and in particular to a coal mine safety risk early warning analysis method. Background Art

[0002] In the coal mining industry, production safety has always been a key issue. Due to the complexity of the coal mining operating environment and its inherent dangers, such as methane and carbon monoxide gas leakage, dust explosions, mine collapse, etc., ensuring the safety and health of miners is one of the most important tasks in coal mine operations. Therefore, the development of coal mine safety supervision technology and systems has always been a hot topic in the field of coal mine safety management.

[0003] In practice, you will find that you need to face the following types of problems: multiple security management systems are involved, and the compatibility of reports between products and platforms is weak: each device involves the installation of multiple security management systems and the deployment of multiple security policies. The operation and maintenance personnel of each product are independent of each other, and the relevant reports are stored in different storage systems. When conducting risk investigation based on the device dimension, a large number of records are involved, and it is necessary to obtain reports from each platform separately. The corresponding data is difficult to integrate. For example, the reports of the antivirus management system and the Microsoft patch distribution management system may use different variables as the identification of the equipment maintenance department, and also use different variables to mark whether the equipment is online. In addition, individual products may have defects, resulting in incomplete protection records or incomplete functions, which cannot be A thorough inspection of the equipment reveals that there are blind spots in detection and control for equipment that has not been deployed with a security management system: Most security management systems lack the self-discovery function and can only detect equipment that has been deployed with a security management system. However, active discovery cannot be performed on equipment that has not been installed with a security management system, causing equipment that has not been deployed with a security management system to be in a blind spot in information security monitoring for a long time. There is a lack of effective security control and security risks. The detection and analysis results cannot quickly locate problems and there is a lack of disposal plans: Existing tools cannot automatically deploy and promptly fix problems for equipment that lacks policies; for equipment with problems in policy deployment or security management system deployment, the disposal plan is unclear, resulting in poor rectification and low efficiency. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides a coal mine safety risk early warning analysis method, which has the advantages of high management efficiency and solves the problem of poor efficiency of traditional monitoring management.

[0005] (II) Technical solution In order to achieve the above-mentioned purpose of high management efficiency, the present invention provides the following technical solutions: a coal mine safety risk early warning analysis method, comprising a sensor module, the sensor module is connected to a basic management module, the sensor module is connected to a temperature and humidity sensor, the sensor module is connected to a dust sensor, the sensor module is connected to a positioning sensor, the sensor module is connected to a motion sensor, the sensor module is connected to a deep learning module, the sensor module is connected to a module identification module, and the sensor module is connected to a sensor module; The basic management module is used to implement authority management and collaborative office, and integrates GIS, BIM and electronic sandbox to realize the operation and maintenance of the system platform; The temperature and humidity sensor is used to collect humidity and temperature in the coal mine environment in real time; The dust sensor is used to collect gas concentrations (such as methane, carbon monoxide, oxygen, etc.) in the coal mine environment in real time; The positioning sensor is used to collect data such as the position of miners and the movement status of miners in the coal mine environment in real time; The motion sensor is used to collect data such as the position of miners and the motion status of miners in a coal mine environment in real time.

[0006] Preferably, it includes a BIM server, a geographic information system, a sensor module and a coal mine construction information management platform; The BIM server obtains structural information of the coal mine, and establishes multiple visual coal mine monitoring centers according to the structural information, wherein each coal mine corresponds to a project; The geographic information system is connected to the BIM server to set monitoring plans, equipment information and measurement point information for each project; GIS technology is used to realize the geographical location of the project, and the monitoring center data is analyzed, converted, lightweight processed and integrated into the geographic information system, and transmitted to the coal mine construction safety information management platform for display; The engineering sensor module communicates remotely with the GIS geographic information system and is used to collect on-site data information at the front end of the coal mine as a basis for establishing a dynamic model; The coal mine construction safety information management platform is connected to the engineering sensor module and is used to view the current usage of the project, fault repair status, monitoring curve charts and monitoring report information, so as to remotely monitor and manage the coal mine.

[0007] A coal mine safety risk early warning analysis method, the method comprising the following steps: S1, establishing a monitoring center BIM server to obtain structural information of the coal mine, establishing a visual coal mine monitoring center according to the structural information, and providing model support for the integration of a three-dimensional visual engineering construction project map based on GIS technology; S2. Import the monitoring center into the geographic information system. Parse, convert, and lightweight the monitoring center data, integrate and import it into the geographic information system, and transmit it to the coal mine construction safety information management platform for display, so as to realize the import and dynamic update of three-dimensional scene data elements; S3. Establish an engineering sensor module to connect the video monitoring module, the fault maintenance record module and the sensor module, integrate spatial data resources, form an engineering sensor module, set user login permissions for the engineering sensor module, and set permission information for each user account to access the engineering sensor module; S4. Establish a coal mine construction safety information management platform. Establish a coal mine construction safety information management platform based on BIM and GIS according to the B / S network architecture, import the engineering sensor module into the coal mine construction safety information management platform, and perform spatial layout configuration through the mutual indexing relationship between BIM and GIS data. At the same time, display the monitoring center, GIS model and engineering sensor module information, realize the display, operation and data management of the monitoring centers of multiple coal mines, and generate monitoring report information; S5. Implement safety monitoring by logging into the coal mine construction safety information management platform, accessing the current coal mine usage, fault repair status, monitoring curve charts and monitoring report information, and issuing instructions to the geographic information system and engineering sensor module. When the safety factor in the monitoring report is outside the safety value set by the authorized manager, the coal mine construction safety information management platform sends an alarm signal to the sensor module.

[0008] Preferably, in step S1, establishing the monitoring center includes manual modeling using BIM software from AutoDesk, Bentley, or Dassault.

[0009] Preferably, in step S5, in step S4, the specific method for logging into the coal mine construction information management platform is: first, input user login information in the coal mine construction information management platform, and verify the login information, wherein the user login information includes a user account; if the login information is successfully verified, the coal mine construction information management platform obtains the permission information of the user account in the sensor module according to the login information, and sends the permission information to the sensor module; finally, the sensor module allows the user account to log in to the coal mine construction information management platform, and opens the operation permission corresponding to the received permission information to the user account.

[0010] Preferably, in step S5, after receiving the alarm signal, the sensor module makes a corresponding alarm response in the form of a telephone alarm, a center alarm and / or a text message alarm.

[0011] Preferably, in step S2, parsing, converting and lightweight processing the monitoring center data specifically includes the following process: 1) First convert the monitoring center established by the BIM software into an IFC format file, and then extract the geometric information of the model through the IFC parser; 2) Then the model geometry information is imported into a professional web image lightweight engine to simplify the invalid and redundant parameters in the model, compress the model size, and regenerate the solid model; 3) Then add the surrounding geographical environment information of the construction area and the relevant basic static information of the coal mine to the physical model to generate the project site data model. The feature matrix Q of the generated text data is expressed as ,and and through Determine the new buffer Size, where represents the upper limit of the buffer size and represents the current Buffer size, Represents the growth factor, a positive number between 0 and 1. Indicates the defined maximum usage threshold. When the buffer usage U> the maximum usage threshold, the buffer starts to grow, which represents a positive number.

[0012] Preferably, device information is collected from each management system, and the device type of the device is determined according to the management system corresponding to the device information; the device deployment anomaly is determined according to the policy baseline corresponding to the device type and the device information; an optimization script is generated according to the device deployment anomaly; the optimization script is run to generate a script running result; the device information includes the last communication time; determining the device deployment anomaly according to the policy baseline corresponding to the device type and the device information includes: determining the active device according to a preset activity threshold and the last communication time of the device; determining the device deployment anomaly according to the policy baseline corresponding to the device type of the active device and the device information of the active device; using the device information and the corresponding policy baseline to analyze whether the device has been included in the relevant management system for management, analyze the device policy deployment situation, identify the device that is not included in the management system that needs to be managed, and identify the missing policies of a single device as risks: according to the policy baseline and the policy whitelist, obtain a full list of devices that need to deploy policies; use the policy deployment situation of the device in the device information verification list in the device information fingerprint library to identify the device with problems in policy deployment; match the device policy with the policy baseline and the policy whitelist through the device information in the device information fingerprint library: if the management system corresponding to the device does not match the baseline, it is identified as a policy blind spot.

[0013] Preferably, a device management notification is generated according to the script running result and the device deployment exception; and the device management notification is sent to a maintenance organization corresponding to the device.

[0014] Preferably, the device anomaly determination unit is also used to: compare the device information collected by each management system to determine the device-related anomaly; perform historical trend analysis on the device information to obtain the device indicator anomaly; the script generation unit is also used to: generate the optimization script according to the device deployment anomaly, the device association anomaly and the device indicator anomaly, a notification generation unit for generating a device management notification according to the script running result and the device deployment anomaly; a notification sending unit for sending the device management notification to the maintenance organization corresponding to the device.

[0015] (III) Beneficial effects Compared with the prior art, the present invention provides a coal mine safety risk early warning analysis method, which has the following beneficial effects: 1. A coal mine safety risk early warning analysis method integrates the coal mine monitoring center with the three-dimensional terrain scene and conducts unified real-time monitoring and management of all coal mines, so that managers can have a global grasp of the use status information of coal mines. At the same time, electronic monitoring and management of coal mine archives can be realized based on the monitoring center; 2. A coal mine safety risk early warning analysis method, through the analysis of the monitoring center, predicts the future progress of the project in a visual way, effectively prevents project delays and reduces project risks; by integrating the project management system data, the total project schedule can display the construction progress and stages of the entire project in real time. The current project stage will display the progress of each sub-stage in real time, and automatically generate a progress comparison, and use color bars to show the progress status of each sub-stage. Risk prompts, business data refers to the data generated by different project participants in the work process at each stage. Through various sensors such as cameras, such as the supervision of the status of key special equipment, the distribution of on-site personnel, the operation of high-altitude and high-risk operations, the occurrence of fireworks, the trajectory of special vehicles and other data are collected. Combined with the comparison and analysis of various calculation models, it is possible to predict in advance the occurrence of potential risks caused by crane collisions, crane arm breakage due to wind, and personnel operating errors, and prevent the occurrence of construction safety accidents, reduce abnormal expenditures to a minimum, and greatly improve the safety of personnel, equipment, and environment in the project process and the speed of project implementation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of the structure of a coal mine safety risk early warning analysis method proposed by the present invention; Figure 2 A schematic diagram of the structure of a coal mine safety risk early warning analysis method proposed by the present invention; Figure 3 This is a schematic diagram of the structural flow of a coal mine safety risk early warning analysis method proposed by the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1-3 , including a sensor module, the sensor module is connected to a basic management module, the sensor module is connected to a temperature and humidity sensor, the sensor module is connected to a dust sensor, the sensor module is connected to a positioning sensor, the sensor module is connected to a motion sensor, the sensor module is connected to a deep learning module, the sensor module is connected to a module identification module, and the sensor module is connected to a sensor module; The basic management module is used to implement authority management and collaborative office, and integrates GIS, BIM and electronic sandbox to realize the operation and maintenance of the system platform; The temperature and humidity sensor is used to collect humidity and temperature in the coal mine environment in real time; The dust sensor is used to collect gas concentrations (such as methane, carbon monoxide, oxygen, etc.) in the coal mine environment in real time; The positioning sensor is used to collect data such as the position of miners and the movement status of miners in the coal mine environment in real time; The motion sensor is used to collect data such as the position of miners and the motion status of miners in a coal mine environment in real time.

[0019] When in use, by integrating the coal mine monitoring center with the three-dimensional terrain scene and conducting unified real-time monitoring and management of all coal mines, managers can have a global grasp of the coal mine usage status information. At the same time, electronic monitoring and management of coal mine archives can be achieved based on the monitoring center.

[0020] In summary, this coal mine safety risk early warning analysis method predicts the future progress of the project in a visual way through monitoring center analysis, effectively prevents project delays, and reduces project risks; by integrating project management system data, the total project schedule can display the construction progress and stages of the entire project in real time. The current project stage will display the progress of each sub-stage in real time, and automatically generate a progress comparison, and use color bars to show the risk prompts of the progress status of each sub-stage. Business data refers to the data generated by different project participants during the work process at each stage. Through various sensors such as cameras, such as the supervision of the status of key special equipment, the distribution of on-site personnel, the operation of high-altitude and high-risk operations, the occurrence of fireworks, the trajectory of special vehicles, etc., combined with the comparison and analysis of various calculation models, it is possible to predict in advance the potential risks caused by boom collisions, boom breakage due to wind, and personnel operating errors, and prevent the occurrence of construction safety accidents, reduce abnormal expenditures to a minimum, and greatly improve the safety of personnel, equipment, and environment in the project process and the speed of project implementation.

[0021] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0022] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A coal mine safety risk early warning analysis method, comprising a sensor module, characterized in that: The sensor module is connected to a basic management module, the sensor module is connected to a temperature and humidity sensor, the sensor module is connected to a dust sensor, the sensor module is connected to a positioning sensor, the sensor module is connected to a motion sensor, the sensor module is connected to a deep learning module, the sensor module is connected to a module identification module, and the sensor module is connected to a sensor module; The basic management module is used to implement authority management and collaborative office, and integrates GIS, BIM and electronic sandbox to realize the operation and maintenance of the system platform; The temperature and humidity sensor is used to collect humidity and temperature in the coal mine environment in real time; The dust sensor is used to collect gas concentrations (such as methane, carbon monoxide, oxygen, etc.) in the coal mine environment in real time; The positioning sensor is used to collect data such as the position of miners and the movement status of miners in the coal mine environment in real time; The motion sensor is used to collect data such as the position of miners and the motion status of miners in a coal mine environment in real time.

2. A coal mine safety risk early warning subsystem according to claim 1, characterized in that: Includes BIM server, geographic information system, sensor module and coal mine construction information management platform; The BIM server obtains structural information of the coal mine, and establishes multiple visual coal mine monitoring centers according to the structural information, wherein each coal mine corresponds to a project; The geographic information system is connected to the BIM server and is used to set monitoring plans, equipment information and measuring point information for each project, use GIS technology to achieve the geographical location of the project, parse, convert, and lightweight the monitoring center data, and integrate and import it into the geographic information system, and transmit it to the coal mine construction safety information management platform for display; The engineering sensor module communicates remotely with the GIS geographic information system and is used to collect on-site data information at the front end of the coal mine as a basis for establishing a dynamic model; The coal mine construction safety information management platform is connected to the engineering sensor module and is used to view the current usage of the project, fault repair status, monitoring curve charts and monitoring report information, so as to remotely monitor and manage the coal mine.

3. A coal mine safety risk early warning analysis method, characterized in that: The method comprises the following steps: S1. Establish a monitoring center BIM server to obtain the structural information of the coal mine, establish a visual coal mine monitoring center based on the structural information, and provide model support for the integration of three-dimensional visual engineering construction project maps based on GIS technology; S2. Import the monitoring center into the geographic information system. Parse, convert, and lightweight the monitoring center data, integrate and import it into the geographic information system, and transmit it to the coal mine construction safety information management platform for display, so as to realize the import and dynamic update of three-dimensional scene data elements; S3. Establish an engineering sensor module to connect the video monitoring module, the fault maintenance record module and the sensor module, integrate spatial data resources, form an engineering sensor module, set user login permissions for the engineering sensor module, and set permission information for each user account to access the engineering sensor module; S4. Establish a coal mine construction safety information management platform. Establish a coal mine construction safety information management platform based on BIM and GIS according to the B / S network architecture, import the engineering sensor module into the coal mine construction safety information management platform, and perform spatial layout configuration through the mutual indexing relationship between BIM and GIS data. At the same time, display the monitoring center, GIS model and engineering sensor module information, realize the display, operation and data management of the monitoring centers of multiple coal mines, and generate monitoring report information; S5. Implement safety monitoring by logging into the coal mine construction safety information management platform, accessing the current coal mine usage, fault repair status, monitoring curve charts and monitoring report information, and issuing instructions to the geographic information system and engineering sensor module. When the safety factor in the monitoring report is outside the safety value set by the authorized manager, the coal mine construction safety information management platform sends an alarm signal to the sensor module.

4. A coal mine safety risk early warning subsystem according to claim 3, characterized in that: In the step S1, the establishment of the monitoring center includes manual modeling using BIM software from AutoDesk, Bentley, or Dassault.

5. The intelligent multi-platform security management method according to claim 3 is characterized in that: In step S5, in step S4, the specific method for logging into the coal mine construction information management platform is: first, input user login information in the coal mine construction information management platform, and verify the login information, wherein the user login information includes a user account; if the login information is successfully verified, the coal mine construction information management platform obtains the permission information of the user account in the sensor module according to the login information, and sends the permission information to the sensor module; finally, the sensor module allows the user account to log in to the coal mine construction information management platform, and opens the operation permission corresponding to the received permission information to the user account.

6. The intelligent multi-platform security management method according to claim 3 is characterized by: In step S5, after receiving the alarm signal, the sensor module makes a corresponding alarm response in the form of telephone alarm, center alarm and / or SMS alarm.

7. The intelligent multi-platform security management method according to claim 3 is characterized by: In step S2, the monitoring center data is parsed, converted, and lightweighted, and specifically includes the following processes: 1) First convert the monitoring center established by the BIM software into an IFC format file, and then extract the geometric information of the model through the IFC parser; 2) Then import the model geometry information into a professional web image lightweight engine to simplify the invalid and redundant parameters in the model, compress the model size, and regenerate the solid model; 3) Then add the surrounding geographical environment information of the construction area and the relevant basic static information of the coal mine to the physical model to generate the project site data model. The feature matrix Q of the generated text data is expressed as: ,and and through Determine the new buffer Size, where represents the upper limit of the buffer size and represents the current Buffer size, Represents the growth factor, a positive number between 0 and 1. Indicates the defined maximum usage threshold. When the buffer usage U>maximum usage threshold, the buffer starts to grow, indicating a positive number.

8. The intelligent multi-platform security management method according to claim 3, characterized in that: Collecting device information from various management systems, and determining the device type of the device according to the management system corresponding to the device information; Determine a device deployment anomaly based on the policy baseline corresponding to the device type and the device information; Generate an optimization script according to the device deployment anomaly; Run the optimization script to generate script running results; The device information includes the last communication time; Determining device deployment anomalies based on the policy baseline corresponding to the device type and the device information includes: determining active devices based on a preset activity threshold and the last communication time of the device; determining device deployment anomalies based on the policy baseline corresponding to the device type of the active device and the device information of the active device; using the device information and the corresponding policy baseline to analyze whether the device has been included in the relevant management system for management, analyzing the device policy deployment status, identifying devices that are not included in the management system that needs to be managed, and identifying the missing policies of a single device as risks: obtaining a full list of devices that need to deploy policies based on the policy baseline and the policy whitelist; using the policy deployment status of the devices in the device information verification list in the device information fingerprint library to identify devices with problems in policy deployment; matching the device policy with the policy baseline and the policy whitelist through the device information in the device information fingerprint library: if the management system corresponding to the device does not match the baseline, it is identified as a policy blind spot.

9. A coal mine safety risk early warning subsystem according to claim 3, characterized in that: Generate a device management notification according to the script running result and the device deployment exception; The device management notification is sent to a maintenance organization corresponding to the device.

10. A coal mine safety risk early warning subsystem according to claim 3, characterized in that: The device anomaly determination unit is further used to: compare the device information collected by each management system to determine the device association anomaly; perform historical trend analysis on the device information to obtain the device indicator anomaly; the script generation unit is further used to: generate the optimization script according to the device deployment anomaly, the device association anomaly and the device indicator anomaly, and the notification generation unit is used to generate a device management notification according to the script running result and the device deployment anomaly; The notification sending unit is used to send the device management notification to the maintenance organization corresponding to the device.

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