Monitoring management system for mining equipment

Abstract

The invention relates to the field of data monitoring, in particular to a mining equipment monitoring management system, which comprises a data acquisition and processing layer consisting of a data acquisition module for acquiring parameters of mining equipment in real time and a data processing module for analyzing and judging the parameters acquired in real time; the data storage and transmission layer consists of a data storage module and a data transmission module; the data storage module is used for storing the collected real-time data, historical data and analysis results; the data transmission module is used for realizing data transmission among the modules; the data application and display layer is composed of a data application module and a data interaction module, and the data application module is used for executing corresponding functions according to analysis and judgment results; and the data interaction module is used for visually displaying the supervision management information. According to the invention, a plurality of links of data acquisition, processing, storage, transmission, application, display and the like are integrated to form a closed-loop monitoring management system, so that comprehensive and accurate monitoring management of mining equipment is realized.

Description

Technical Field

[0001] The invention relates to the field of data monitoring, and in particular to a mining equipment monitoring and management system. Background Art

[0002] In the mining industry, the safe operation of mining equipment has always been a key factor in ensuring the safety of miners and production efficiency. With the continuous expansion of the scale of mines and the significant improvement of the level of mechanization, the types and quantity of mining equipment have increased dramatically. At the same time, the complexity of the equipment structure and the harsh operating environment have brought unprecedented challenges to the monitoring and management of equipment. Although traditional mining equipment monitoring and management methods, such as manual inspections and regular inspections, can guarantee the basic operation of equipment to a certain extent, their drawbacks of low efficiency and slow response are becoming increasingly prominent, making it difficult to meet the urgent needs of modern mine safety production.

[0004] The mining equipment monitoring and management system must be able to collect various operating parameters of mining equipment in real time and accurately, judge the health status of the equipment through intelligent analysis, and promptly discover and warn potential safety hazards and failures; at the same time, the system must also support efficient storage, transmission and sharing of data, ensure information interconnection between different departments and systems, and provide comprehensive and accurate data support for the safety management of coal mines in the entire region. Therefore, the development of a mining equipment monitoring and management system has become an important way to solve the current mining equipment monitoring and management problems and improve the level of mine safety management. Summary of the invention

[0005] To solve the above problems, the present invention provides a mining equipment monitoring and management system, which integrates multiple links such as data collection, processing, storage, transmission, application and display to form a closed-loop monitoring and management system to achieve comprehensive and accurate monitoring and management of mining equipment.

[0006] In order to achieve the above object, the technical solution of the present invention is as follows: A mining equipment monitoring and management system, comprising:

[0007] The data acquisition and processing layer consists of a data acquisition module and a data processing module. The data acquisition module is used to collect mining equipment parameters in real time and record historical data; the data processing module is used to analyze and judge the mining equipment parameters collected in real time by the data acquisition module;

[0008] The data storage and transmission layer is composed of a data storage module and a data transmission module. The data storage module is used to store the mining equipment parameters and historical data collected by the data acquisition module and the analysis and judgment results of the data processing module; the data transmission module is used to realize data transmission between various modules;

[0009] The data application and display layer consists of a data application module and a data interaction module. The data application module is used to perform corresponding functions according to the analysis and judgment results of the data processing module; the data interaction module is used to visualize all data in the data acquisition and processing layer;

[0010] Security and management layers for data security protection and management;

[0011] The analysis and judgment process of the data processing module is as follows: all the mining equipment parameters collected in the data acquisition module are recorded as data sets, and the data sets include A1, A2, ..., A n ;

[0012] When A1 in the data set does not match the equipment operation safety threshold, it indicates that the monitoring of A1 is abnormal, and further analysis of historical data and A1's related data A2, A3 and A4 is performed to determine the cause of the abnormality;

[0013] When A1 in the data set matches the equipment operation safety threshold, the relationship between A5 and the equipment operation safety threshold is analyzed at the same time;

[0014] When A5 does not meet the safety threshold of equipment operation, the relevant data A2, A3 and A4 of A1 are further analyzed. If abnormal data appears in A2, A3 and A4, it indicates that the monitoring of A1 is abnormal. The factors causing the abnormality of A1 are determined by historical data and the abnormalities in A2, A3 and A4.

[0015] When A5 matches the equipment operation safety threshold, it indicates that the monitoring of A1 is normal and the equipment of A1 is working normally.

[0016] Furthermore, the parameters collected in the data collection module include: environmental monitoring parameters, personnel parameters, monitoring parameters, transportation parameters and construction equipment parameters.

[0017] Furthermore, the environmental monitoring parameters include: gas concentration, carbon monoxide concentration, temperature, wind speed, smoke, water flow, temperature of goaf and oxygen data in the environment;

[0018] The personnel parameters include: the number of mine personnel, attendance, positioning data, and activity tracks and distribution data of personnel in the underground mine operation area;

[0019] The monitoring places in the monitoring parameters include: coal mine ground industrial square, dispatching room, wellhead, hoist room, electromechanical chamber, pump room, main ventilation room, belt conveyor head and underground blasting equipment warehouse;

[0020] The transportation parameters include: vehicle information, driver information, number of vehicles going down the mine, and real-time information of vehicles going down the mine;

[0021] The construction equipment parameters include: ventilator, mine drainage device, lifting device, air compressor, winch, power supply device, main belt and overhead passenger device.

[0022] Furthermore, the data storage module adopts Redis database, the string type of Redis is implemented through SDS, the hash table in Redis is implemented through dictionary, the ordered set in Redis is implemented through skip list, the compressed list in Redis is implemented through Ziplist, and the linked list in Redis is implemented through Quicklist.

[0023] Furthermore, the functions performed in the data application module include, but are not limited to: issuing alarms, adjusting parameters, starting backup equipment, emergency shutdown, and sending notifications.

[0024] Furthermore, the monitoring and management information displayed in the data interaction module includes: basic information of coal mines, real-time safety alarm information, real-time monitoring information of specific personnel, network statistics, statistics on coal mine grades and production capacity, and a comprehensive display of gas grade information.

[0025] Furthermore, the data interaction module is also used to display the locations of subordinate institutions in the area based on the basic information of the coal mine and the GIS map, and to distinguish their risk levels.

[0026] Furthermore, the security and management layer deploys Nginx as a reverse proxy server, where Nginx's event-driven architecture is implemented through an asynchronous non-blocking I / O multiplexing mechanism; Nginx supports multiple load balancing algorithms; Nginx supports SSL / TLS encryption and HTTP / 2 protocol.

[0027] Furthermore, the multiple load balancing algorithms include but are not limited to: polling and IP hashing.

[0028] Furthermore, the security and management layer is also used for permission management, business configuration management, and basic operation management;

[0029] The management content of the permission management includes: organizational structure, users, roles and permissions;

[0030] The management content of the business configuration management includes: access platform, real-time data display configuration and sensor classification;

[0031] The management contents of the basic operation management include: data transmission status, data backup and recovery, and system logs.

[0032] Furthermore, it also includes a remote access module, which is used to allow authorized users to remotely view device status, monitor video, receive alarm information, and directly control some devices through application terminals, where the application terminals include display screens, smart terminals, and PC terminals.

[0033] Furthermore, the parameters collected in the data collection module also include: mine pressure data and bundle tube data.

[0034] Furthermore, it also includes a disaster prevention and control networking module for monitoring disasters in the coal mine ground industrial square based on the real-time data and historical data stored in the data storage module.

[0035] The technical principle of the above scheme is as follows: The mining equipment monitoring and management system realizes comprehensive monitoring and management of mining equipment and its operating environment by integrating multiple levels such as data collection, processing, storage, transmission, application and display, as well as safety and management. The data collection module obtains various parameters of mining equipment in real time, including data on environmental monitoring, personnel, monitoring, transportation and construction equipment. Subsequently, the data processing module analyzes and judges these data in real time to identify potential equipment failures or safety hazards. The data storage module is responsible for efficiently storing real-time data, historical data and analysis results for subsequent data analysis and decision support. The data transmission module ensures the fast and accurate transmission of data between modules. The data application module performs corresponding functions according to the analysis results, such as issuing alarms, adjusting parameters, etc. The data interaction module presents the monitoring and management information to users intuitively through visual display. Finally, the security and management level deploys security measures such as Nginx to ensure the data security and stable operation of the system.

[0036] The above scheme has the following beneficial effects:

[0037] 1. This solution integrates data collection, processing, storage, transmission, application and display, and the system realizes comprehensive monitoring and management of mining equipment, improving management efficiency. At the same time, the data analysis results provided also provide strong support for the decision-making of management. It can collect and process various parameters of mining equipment in real time, timely discover and warn potential equipment failures or safety hazards, effectively prevent accidents, and ensure the safety and stability of mine production.

[0038] 2. Through comprehensive analysis and correlation of data, the system can more accurately determine the cause of equipment failure or safety hazard, providing strong support for rapid problem solving. At the same time, the storage and analysis of historical data also provides a data basis for preventive maintenance of equipment.

[0039] 3. In this solution, the data interaction module displays complex monitoring and management information to users in an intuitive and easy-to-understand way, which improves the readability and comprehensibility of the information. At the same time, users can also remotely access the system through the application terminal to view the device status and monitoring video in real time, which enhances the convenience and practicality of the system.

[0040] 4. In this solution, the security and management level deploys Nginx and other security measures to provide a comprehensive data security protection mechanism for the system, ensuring the integrity, confidentiality and availability of data. This helps prevent security risks such as data leakage and illegal access, and ensures the stable operation of the system.

[0041] 5. This solution supports multiple business configuration management, including access platform, real-time data display configuration and sensor classification, which can be flexibly configured according to actual needs. At the same time, the system also has functional modules such as remote access and disaster prevention and control networking, which facilitates the expansion and upgrade of the system.

[0042] 6. In this solution, the disaster prevention and control networking module uses the stored real-time data and historical data to monitor and warn of coal mine disasters, providing strong support for the disaster prevention and mitigation work of coal mines.

[0043] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A framework diagram of an embodiment of the mining equipment monitoring and management system of the present invention;

[0045] Figure 2 It is a flow chart of a data analysis module in an embodiment of a mining equipment monitoring and management system of the present invention;

[0046] Figure 3 This is a platform architecture diagram of an embodiment of the mining equipment monitoring and management system of the present invention. DETAILED DESCRIPTION

[0047] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. 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.

[0048] The following is further described in detail through specific implementation methods:

[0049] Embodiment 1:

[0050] As attached Figure 1 , Figure 2 and Figure 3 As shown: A mining equipment monitoring and management system, comprising:

[0051] The data acquisition and processing layer consists of a data acquisition module and a data processing module. The data acquisition module is used to collect mining equipment parameters in real time and record historical data. The mining equipment parameters collected in the data acquisition module include: environmental monitoring parameters (such as gas concentration, carbon monoxide concentration, temperature, wind speed, smoke, water flow, temperature of the goaf and oxygen data in the environment), personnel parameters (such as the number of mine personnel, attendance, positioning data, activity trajectory and distribution data of personnel in the underground working area of ​​the mine), monitoring parameters (such as the coal mine ground industrial square, dispatching room, wellhead, hoisting room, electromechanical chamber, water pump room, main ventilation room, belt conveyor head and underground blasting equipment warehouse), transportation parameters (such as vehicle information, driver information, number of vehicles going down the mine and real-time information of underground vehicles) and construction equipment parameters (such as ventilators, mine drainage devices, hoisting devices, air compressors, winches, power supply devices, main belts and overhead passengers).

[0052] The data processing module is used to analyze and judge the mining equipment parameters collected by the data acquisition module in real time; the analysis and judgment process of the data processing module is: all the mining equipment parameters collected in the data acquisition module are recorded as a data set, and the data set includes A1, A2, ..., A n When A1 in the data set does not match the equipment operation safety threshold, it indicates that the monitoring of A1 is abnormal. Further analysis of historical data and A1's related data A2, A3 and A4 is performed to determine the factors causing the abnormality.

[0053] When A1 in the data set is consistent with the equipment operation safety threshold, the relationship between A5 and the equipment operation safety threshold is analyzed at the same time: when A5 is inconsistent with the equipment operation safety threshold, the related data A2, A3 and A4 of A1 are further analyzed. If abnormal data appears in A2, A3 and A4, it indicates that the monitoring of A1 is abnormal, and the factors causing the abnormality of A1 are judged through historical data and the anomalies in A2, A3 and A4; when A5 is consistent with the equipment operation safety threshold, it indicates that the monitoring of A1 is normal and the equipment is working normally.

[0054] The data storage and transmission layer consists of a data storage module and a data transmission module. The data storage module is used to store the real-time data and historical data collected by the data collection module and the analysis results of the data processing module. The data storage module uses the Redis database. The string type of Redis is implemented through SDS, the hash table in Redis is implemented through a dictionary, the ordered set in Redis is implemented through a skip list, the compressed list in Redis is implemented through Ziplist, and the linked list in Redis is implemented through Quicklist. The data transmission module is used to realize data transmission between various modules.

[0055] The data application and display layer consists of a data application module and a data interaction module. The data application module is used to perform corresponding functions according to the analysis and judgment results of the data processing module; the functions performed in the data application module include but are not limited to: issuing alarms, adjusting parameters, starting backup equipment, emergency shutdowns, and sending notifications. The data interaction module is used to visualize the supervision and management information (basic information of coal mines, real-time safety alarm information, real-time monitoring information of specific personnel, network statistics, coal mine grade and production capacity statistics, gas grade and other information). The data interaction module is also used to display the location of subordinate institutions in the area based on the basic information of coal mines and GIS maps, and distinguish their risk levels.

[0056] The security and management layer is used for data security protection and management. The security and management layer deploys Nginx as a reverse proxy server, where Nginx's event-driven architecture is implemented through an asynchronous non-blocking I / O multiplexing mechanism. Nginx supports multiple load balancing algorithms (such as polling and IP hashing). Nginx supports SSL / TLS encryption and HTTP / 2 protocol.

[0057] The specific implementation process is as follows: After the system is started, the data acquisition module collects various data of the company's mines in real time through sensors, cameras and other equipment:

[0058] (1) Real-time monitoring of the environment, including gas, carbon monoxide, temperature, wind speed, smoke, water flow, goaf temperature, oxygen and other data, centralized monitoring, graded warning, to achieve real-time data display of coal chemical industry. The main display includes the following data: real-time data, real-time alarm, real-time fault, real-time regional display, real-time curve, five-minute curve, switch opening moment diagram, historical curve, alarm / fault cause analysis, data transmission abnormality analysis, alarm / fault / calibration query statistical report, safety monitoring daily report, extraction cumulative report, monitoring point statistical report, start-stop record details / statistical report, SMS abnormal alarm, company fault statistical query monthly operation status, no signal statistics, real-time measurement point statistics and audit functions.

[0059] (2) Real-time collection of personnel parameters of the company's mines, such as the number of personnel currently underground and in key areas of each mine, underground timeouts, illegal entries, overcrowding in an area, recent personnel going up to the mine, overcrowding records, overtime records, regional personnel distribution curves, personnel trajectory inquiries, attendance of personnel going down to the mine, average downtime time, downtime information, and basic personnel information.

[0060] (3) Real-time collection, review and on-demand video points of major work sites and major production links. The video points that need to be connected mainly include: coal mine ground industrial square, dispatching room, wellhead (including main wellhead, auxiliary wellhead and ventilation wellhead), hoist room, electromechanical chamber, water pump room, main ventilation room, belt conveyor head and underground blasting equipment warehouse.

[0061] (4) Comprehensive information of rubber-tyred trackless vehicles in each mine is collected in real time, including vehicle information, driver information, number of vehicles going down the mine, and real-time information of vehicles going down the mine.

[0062] (5) Real-time collection of parameters of major construction equipment, such as:

[0063] The fan’s wind pressure, wind speed, air volume, vibration, motor current, motor voltage, speed and power, motor stator winding temperature and bearing temperature and other data.

[0064] Analog data such as water level, flow rate, flow velocity, pressure (including pipeline pressure, vacuum pump negative pressure, etc.), equipment temperature (water pump bearing temperature, motor winding and bearing temperature, etc.), vibration, current, voltage and power of the mine drainage device; switching data such as the status of water pumps, valves, vacuum pumps and waterproof doors; cumulative data such as drainage volume, active power and water pump running time.

[0065] Monitoring data of the start and stop, lifting times, rotation speed, lifting container position and speed of the hoist in the lifting device; monitoring data of the main motor current, voltage, active power, winding temperature, brake shoe gap and bearing temperature; data of protection devices, braking systems, hydraulic stations, lubrication systems, vibration data (motor, reducer, drum, sheave and bearings), wire rope status, cooling device status and temperature data (bearings, hydraulic stations, lubricating oil stations and high-voltage distribution cabinets).

[0066] The data of air compressor temperature, pressure, current, voltage, power and equipment start and stop status are collected in real time.

[0067] Data such as the start and stop status, braking status, rotation speed, brake handle position, speed, lifting mode, voltage, current, power and position of the winch; vibration data (motor, reducer, drum and bearing); temperature data (bearing, reducer oil temperature, hydraulic station and lubricating oil station).

[0068] The voltage, current, active power, reactive power, power factor, frequency, temperature, grid insulation, electromagnetic starter, feeder switch opening / closing and active power of the power supply device.

[0069] The main belt involves motor bearing temperature, winding temperature, roller temperature, deviation, smoke, ambient temperature and oil temperature for tensioning and soft starting.

[0070] The operating status, operating speed, temperature, voltage, current and power of the overhead passenger vehicle.

[0071] The data transmission module transmits all the real-time collected data to the data storage module for storage, and transmits it to the data processing module at the same time. The data processing module performs real-time analysis and judgment on the real-time data and the historical data in the data storage module according to the preset threshold:

[0072] Taking mining equipment - mining drainage pump as an example, its real-time collection parameters include: A1: drainage flow (unit: m 3 / h), which measures the actual drainage capacity of the pump; A2: motor current (unit: A), which reflects the motor load; A3: motor temperature (unit: ℃), which prevents the motor from overheating; A4: water level (unit: m), which indicates the water level in the pool in front of the pump; A5: vibration intensity (unit: mm / s), which evaluates the mechanical operation status of the pump. At the same time, for A1 (drainage flow), the normal threshold is set to [50,150]m 3 / h; for A5 (vibration severity), the normal threshold is set to [0.1,0.5] mm / s.

[0073] Case 1: When A1 (drainage flow) is not within the threshold range, the drainage flow of the surface drainage pump is abnormal. Check the historical data to confirm whether there is a periodic low flow situation (such as reduced water consumption at night). At the same time, check A2 (motor current), A3 (motor temperature) and A4 (water level).

[0074] The inspection results are: A2 (motor current) is normal, indicating that the motor load is within the standard; A3 (motor temperature) is also normal, ruling out the flow drop caused by motor overheating; A4 (water level) shows that the water level is low, which may be the direct cause of the flow drop (such as insufficient water source or clogged water inlet pipe).

[0075] Based on the above information, it can be judged that the reason for the decrease in A1 (drainage flow) may be that the water level is too low, and further inspection of the water inlet pipeline and water source is needed.

[0076] Case 2: When A1 (drainage flow) is within the threshold range, but A5 (vibration intensity) is not within the threshold range, it indicates that there may be problems with the mechanical operation status of the drainage pump. Further check A2 (motor current), A3 (motor temperature) and A4 (water level).

[0077] The inspection results are as follows: A2 (motor current) shows a slight increase in motor current, which may indicate that the motor is working to overcome some resistance; A3 (motor temperature) is normal, ruling out motor overheating; A4 (water level) may not be directly relevant to the analysis at this time, but can be used as auxiliary information (if the water level is normal, it means that the mechanical stress change is not caused by the water level change).

[0078] Based on the above information, combined with the increase in A2 (motor current) and the abnormality of A5 (vibration intensity), it is judged that the increase in vibration may be caused by bearing wear, impeller imbalance or other mechanical component failure of the drainage pump.

[0079] The analysis and judgment results are also transmitted to the data storage module through the data transmission module. The data storage module uses the Redis database to efficiently store real-time data, historical data and analysis results. Redis's various data structures (SDS, dictionary, jump list, Ziplist and Quicklist) optimize storage efficiency and query speed. At the same time, data is backed up regularly to ensure data security and recoverability.

[0080] According to the analysis results of the data processing module, the data application module automatically performs operations such as alarm issuance, parameter adjustment, startup of backup equipment, emergency shutdown, and notification sending. The execution results are fed back to the data processing module through the data transmission module to form a closed-loop control.

[0081] The data interaction module displays real-time collected information and real-time processed information (such as basic information of coal mines, real-time alarm information, personnel monitoring information, etc.) in the form of charts, maps, etc. At the same time, the GIS map is used to display the location of subordinate institutions in the area, and color-coded according to risk levels, so that managers can quickly grasp the overall situation.

[0082] At the same time, the data access of the system of the present invention realizes reverse proxy through Nginx, which improves the security and scalability of the system. Automatically adjust the request distribution according to the load situation to improve the system processing capacity and stability. SSL / TLS encryption ensures the security of data transmission and prevents data leakage. HTTP / 2 protocol support improves data transmission efficiency and user experience.

[0083] The mining equipment monitoring and management system of the present invention realizes comprehensive monitoring and efficient management of mining equipment through the collaborative work of four levels: data collection and processing, storage and transmission, application and display, and safety and management. It can collect and analyze equipment parameters in real time, discover and handle abnormal situations in time, and ensure safe production and personnel safety in mines. At the same time, through visual display and GIS map integration, it provides managers with intuitive and comprehensive management information, thereby improving management efficiency.

[0084] Embodiment 2:

[0085] The difference from Example 1 is that the security and management layer is also used for authority management, business configuration management, and basic operation management. The management content of authority management includes: organizational structure, users, roles, and permissions; the management content of business configuration management includes: access platform, real-time data display configuration, and sensor classification; the management content of basic operation management includes: data transmission status, data backup and recovery, and system logs.

[0086] The specific implementation process is as follows:

[0087] 1. Permission management

[0088] Create and maintain the organizational structure of the enterprise through the security and management level, including the division of departments, teams and positions. Support multi-level organizational structure to ensure that the authority allocation can be accurate to individuals and positions. At the same time, user information can be added, deleted and modified, including user name, password, contact information, etc. Authentication and authorization of users to ensure the authenticity of user identity and the legitimacy of authority. Define different roles for different users, each role represents a set of similar responsibilities and permissions. Assign users to corresponding roles to realize batch allocation and management of permissions. Define the permissions of each role in detail, including the resources that can be accessed, the operations performed and the data viewed. Adopt fine-grained permission control strategies to ensure the security of the system and the confidentiality of data.

[0089] 2. Business configuration management

[0090] Configure and manage the access methods of different devices, systems and platforms to ensure that data can be smoothly transmitted to the system. Support multiple access protocols and interface standards to meet the access requirements of different devices. Customize the display method, layout and style of real-time data according to user needs. Provide flexible configuration options such as data refresh frequency, display range, chart type, etc. Classify and manage sensors in the system, including sensor type, model, installation location, monitoring parameters and other information. Support dynamic addition and deletion of sensors to ensure that the system can reflect the latest status of the equipment in real time.

[0091] 3. Basic operation management

[0092] Real-time monitoring of the transmission of various types of data in the system, including transmission rate, stability, packet loss rate and other indicators. Timely alarm and handle transmission anomalies to ensure data integrity and real-time performance. Regularly back up important data in the system, including real-time data, historical data and analysis results. Provide data recovery function to ensure that the system can be quickly restored to normal operation when data is lost or damaged. Record various types of log information during system operation, including user operation logs, system abnormality logs and data change logs. Provide log query and analysis functions to facilitate problem tracking and troubleshooting.

[0093] The security and management layer ensures the safe, stable and efficient operation of the mining equipment monitoring and management system through the comprehensive application of authority management, business configuration management and basic operation management. Authority management ensures the security of the system and the confidentiality of data; business configuration management meets the flexibility and scalability of the system; basic operation management ensures the stability and reliability of the system. The organic combination of these management functions provides strong support for the safe production and efficient management of enterprises.

[0094] Embodiment 3:

[0095] The difference from Example 2 is that it also includes a remote access module, which is used to allow authorized users to remotely view device status, monitor video, receive alarm information, and directly control some devices through application terminals, where the application terminals include display screens, smart terminals, and PC terminals.

[0096] The specific implementation process is as follows: Users can remotely view the device status (status information such as temperature, humidity, and switch status, etc.) and monitoring video from the data acquisition module and data storage module regularly or irregularly through the front-end display screen, smart terminal (such as mobile phone, tablet) and PC terminal application.

[0097] At the same time, when the data processing module determines that the data is abnormal after analyzing the real-time data, the abnormal signal can be sent to the relevant users through SMS, email or APP push. After receiving the abnormal prompt information, the user can view the details through the front-end display screen, smart terminal (such as mobile phone, tablet) and PC terminal application, and take corresponding measures.

[0098] Embodiment 4:

[0099] The difference from Example 3 is that the parameters collected in the data acquisition module also include: mine pressure data (realizing the total number of drilling stress, support resistance, anchor rods (cables), roof separation measurement points and abnormal data in mine pressure monitoring; comprehensive display of microseismic and ground sound events of the day) and bundle pipe data (real-time display of carbon monoxide, ethylene, and ethane alarm data in bundle pipe monitoring, display of coal mine networking statistics, classification of coal mines according to their natural tendencies, and display of carbon monoxide, ethylene, and ethane alarm statistics, analysis, and coal mine rankings in the past seven days and the past month).

[0100] The specific implementation process is as follows:

[0101] The data acquisition module will collect the total number of measurement points and abnormal data of borehole stress, support resistance, anchor (cable), roof separation in real time during mine pressure monitoring; as well as microseismic and ground sound events of the day; and the networking status of coal mine pressure and rock burst. At the same time, coal mines are classified according to the evaluation level of rock burst dangerous behavior; and the statistics of coal mine microseismic and ground sound events and the statistics of borehole stress, support resistance, anchor (cable), roof separation abnormalities, etc. are displayed in the past seven days and the past month.

[0102] In addition, there are real-time monitoring values ​​of each coal mine bundle pipe, including the pipeline name and the monitoring values, installation location, measurement point status, unit and data time of acetylene, ethylene, ethane, propane, methane, carbon monoxide, carbon dioxide, nitrogen, oxygen and other gases monitored by the pipeline. You can view the curve changes of a specific collection point over a period of time, select the collection point through coal mines, pipelines, collection points, select the time period, and query the curve changes of the monitoring value of the collection point.

[0103] Embodiment 5:

[0104] The difference from Example 4 is that it also includes a disaster prevention networking module for monitoring the disasters of the coal mine ground industrial square according to the real-time data and historical data stored in the data storage module. In this embodiment, it is mainly used for water disaster prevention.

[0105] The specific implementation process is as follows: to realize 8 categories of data on water hazard prevention and control, mainly including long-hole monitoring data, drainage monitoring data, water inflow monitoring data at collection points, microseismic system monitoring data, precipitation data, surface water monitoring data, surface subsidence monitoring data and water extraction (release) monitoring data, including real-time data, real-time alarm, historical data curve, historical alarm, network on / off statistics, and comprehensive display functions of basic information of measuring points.

[0106] The data acquisition module can collect real-time monitoring data of water hazards in each coal mine (long observation holes, drainage, water inflow, precipitation, surface water, pumped water, surface subsidence), including information such as measuring point name, monitoring value, and monitoring status.

[0107] The data processing module can view the historical monitoring data of each coal mine water hazard monitoring, including monitoring values ​​and monitoring time. It can be queried by subsystem type, measuring point type, and monitoring time; it can view the historical alarm data, alarm start time, end time, duration and other information of each coal mine water hazard monitoring; it can be queried by subsystem type, measuring point type, and monitoring time to view the curve changes of a specific measuring point over a period of time, select the selected measuring point by coal mine, subsystem type, and measuring point type, select the time period, and query the curve changes of the monitoring value. You can select the data type to view the basic information of the coal mine measuring point, so as to monitor the disasters of the coal mine measuring point.

[0108] Obviously, the embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A mining equipment monitoring and management system, characterized in that: include: The data acquisition and processing layer consists of a data acquisition module and a data processing module; Data acquisition module, used to collect mining equipment parameters in real time and record historical data; The data processing module is used to analyze and judge the mining equipment parameters collected in real time by the data acquisition module; The data storage and transmission layer consists of a data storage module and a data transmission module; A data storage module, used to store mining equipment parameters and historical data collected by the data acquisition module and analysis and judgment results of the data processing module; Data transmission module, used to realize data transmission between various modules; The data application and display layer consists of data application modules and data interaction modules; The data application module is used to execute corresponding functions according to the analysis and judgment results of the data processing module; Data interaction module, used to visualize all data in the data collection and processing layer; Security and management layers for data security protection and management; The analysis and judgment process of the data processing module is as follows: all the mining equipment parameters collected in the data acquisition module are recorded as data sets, and the data sets include A1, A2, ..., A n ; When A1 in the data set does not match the equipment operation safety threshold, it indicates that the monitoring of A1 is abnormal, and further analysis of historical data and A1's related data A2, A3 and A4 is performed to determine the cause of the abnormality; When A1 in the data set matches the equipment operation safety threshold, the relationship between A5 and the equipment operation safety threshold is analyzed at the same time; When A5 does not meet the safety threshold of equipment operation, the relevant data A2, A3 and A4 of A1 are further analyzed. If abnormal data appears in A2, A3 and A4, it indicates that the monitoring of A1 is abnormal. The factors causing the abnormality of A1 are determined by historical data and the abnormalities in A2, A3 and A4. When A5 matches the equipment operation safety threshold, it indicates that the monitoring of A1 is normal and the A1 equipment is working normally.

2. The mining equipment monitoring and management system according to claim 1, characterized in that: The parameters collected in the data acquisition module include: environmental monitoring parameters, personnel parameters, monitoring parameters, transportation parameters and construction equipment parameters.

3. The mining equipment monitoring and management system according to claim 2, characterized in that: The environmental monitoring parameters include: gas concentration, carbon monoxide concentration, temperature, wind speed, smoke, water flow, temperature of goaf and oxygen data in the environment; The personnel parameters include: the number of mine personnel, attendance, positioning data, and activity tracks and distribution data of personnel in the underground mine operation area; The monitoring places in the monitoring parameters include: coal mine ground industrial square, dispatching room, wellhead, hoist room, electromechanical chamber, pump room, main ventilation room, belt conveyor head and underground blasting equipment warehouse; The transportation parameters include: vehicle information, driver information, number of vehicles going down the mine, and real-time information of vehicles going down the mine; The construction equipment parameters include: ventilator, mine drainage device, lifting device, air compressor, winch, power supply device, main belt and overhead passenger device.

4. The mining equipment monitoring and management system according to claim 1, characterized in that: The data storage module uses the Redis database. The string type of Redis is implemented through SDS, the hash table in Redis is implemented through a dictionary, the ordered set in Redis is implemented through a skip list, the compressed list in Redis is implemented through Ziplist, and the linked list in Redis is implemented through Quicklist.

5. The mining equipment monitoring and management system according to claim 1, characterized in that: Functions performed in the data application module include, but are not limited to: issuing alarms, adjusting parameters, activating backup equipment, emergency shutdown, and sending notifications.

6. The mining equipment monitoring and management system according to claim 1, characterized in that: The monitoring and management information displayed in the data interaction module includes: basic information of coal mines, real-time safety alarm information, real-time monitoring information of specific personnel, network statistics, statistics on coal mine grades and production capacity, and a comprehensive display of gas grade information.

7. The mining equipment monitoring and management system according to claim 6, characterized in that: The data interaction module is also used to display the location of subordinate institutions in the area based on the basic information of the coal mine and the GIS map, and to distinguish their risk levels.

8. The mining equipment monitoring and management system according to claim 1, characterized in that: The security and management layer deploys Nginx as a reverse proxy server, where Nginx's event-driven architecture is implemented through an asynchronous non-blocking I / O multiplexing mechanism; Nginx supports multiple load balancing algorithms; Nginx supports SSL / TLS encryption and HTTP / 2 protocol.

9. The mining equipment monitoring and management system according to claim 8, characterized in that: The multiple load balancing algorithms include but are not limited to: polling and IP hashing.

10. The mining equipment monitoring and management system according to claim 1, characterized in that: The security and management layer is also used for permission management, business configuration management, and basic operation management; The management content of the permission management includes: organizational structure, users, roles and permissions; The management content of the business configuration management includes: access platform, real-time data display configuration and sensor classification; The management contents of the basic operation management include: data transmission status, data backup and recovery, and system logs.

11. The mining equipment monitoring and management system according to claim 1, characterized in that: It also includes a remote access module, which is used to allow authorized users to remotely view device status, monitor video, receive alarm information, and directly control some devices through application terminals, where application terminals include display screens, smart terminals, and PC terminals.

12. The mining equipment monitoring and management system according to claim 2, characterized in that: The parameters collected in the data acquisition module also include: mine pressure data and bundle tube data.

13. The mining equipment monitoring and management system according to claim 1, characterized in that: It also includes a disaster prevention and control networking module for monitoring disasters in the coal mine ground industrial square based on the real-time data and historical data stored in the data storage module.

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