Safety monitoring system and method based on mine intelligent construction site

Abstract

The invention relates to the technical field of mine engineering, and discloses a safety monitoring system and method based on a mine intelligent construction site, and the system comprises an environment monitoring module, an equipment monitoring module, a personnel monitoring module, a data transmission module, and a safety early warning module. Wherein the environment monitoring module is used for acquiring parameters such as gas concentration, temperature and humidity, seismic data and the like in a mine environment; the equipment monitoring module is used for monitoring the running state, fault information and the like of mine operation equipment in real time; the personnel monitoring module is used for tracking positions, health conditions and the like of mine operating personnel in real time; the data transmission module is used for transmitting data acquired by each module to the cloud platform; and the safety early warning module analyzes the result according to the data of the cloud platform. The safety management level of the mine construction site can be comprehensively improved, various potential safety risks in mine operation can be effectively prevented, and therefore the life safety of miners and continuous and stable mine production are guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of mining engineering technology, and in particular to a safety monitoring system and method based on a smart mine site. Background Art

[0002] With the continuous expansion of mining and construction, the safety issues of mine sites have become increasingly prominent. The traditional mine safety monitoring method mainly relies on manual inspections and simple physical detection equipment. This method has defects such as delayed detection time, incomplete data collection, and cumbersome manual operation. With the development of technology, although some mines have begun to introduce automated monitoring methods, the existing technology still has major defects in data real-time, monitoring accuracy, remote control, etc., especially in complex environments. The comprehensive monitoring capabilities of mine site safety are insufficient. Existing monitoring systems often fail to effectively combine advanced technologies such as big data, the Internet of Things, and artificial intelligence for comprehensive processing and analysis, and lack intelligent safety warning and emergency response capabilities, resulting in difficulty in timely and accurate intervention and handling in the event of an emergency.

[0003] Therefore, there is an urgent need for a safety monitoring system based on smart mine sites, which can realize multi-dimensional and all-round intelligent monitoring of mine sites, collect environmental data in real time and conduct comprehensive analysis, so as to timely discover potential safety hazards, thereby maximizing the protection of miners' life safety and the safety of mine production.

[0004] To this end, we propose a safety monitoring system and method based on a smart mine site. Summary of the invention

[0005] The present invention mainly solves the technical problems existing in the above-mentioned prior art and provides a safety monitoring system and method based on a smart mine site, which adopts advanced sensor technology, data communication technology, big data analysis and cloud computing technology to realize all-round and real-time monitoring of mine sites.

[0006] In order to achieve the above purpose, the present invention adopts the following technical scheme: a safety monitoring system based on a smart mine site, including an environment monitoring module, an equipment monitoring module, a personnel monitoring module, a data transmission module and a safety early warning module, wherein:

[0007] The environmental monitoring module is used to collect parameters such as gas concentration, temperature and humidity, and seismic data in the mine environment;

[0008] The equipment monitoring module is used to monitor the operating status, fault information, etc. of mining equipment in real time;

[0009] The personnel monitoring module is used to track the location, health status, etc. of mine workers in real time;

[0010] The data transmission module is used to transmit the data collected by each module to the cloud platform;

[0011] The security warning module generates security warning information based on the data analysis results of the cloud platform and provides it to relevant personnel through a visual interface.

[0012] As a preferred technical solution of the present invention, the environmental monitoring module includes a gas sensor, a temperature and humidity sensor, a seismic sensor and a noise sensor, which are used to monitor the environmental safety status of the mine site.

[0013] As a preferred technical solution of the present invention, the equipment monitoring module includes an equipment status sensor, a vibration sensor, a temperature sensor, and an oil pressure sensor, which are used to monitor the operating status of the mining equipment in real time and provide timely feedback of fault information.

[0014] As a preferred technical solution of the present invention, the personnel monitoring module includes a personnel positioning system based on RFID technology, a heart rate monitor, a wearable gas detector, etc., which are used to collect the miners' physiological data and location information in real time.

[0015] As a preferred technical solution of the present invention, the data transmission module includes a wireless communication module and a data encryption module to ensure the real-time and security of the monitoring data.

[0016] As a preferred technical solution of the present invention, the security warning module includes a data analysis engine, a warning rule library and an alarm output interface, which is used to generate security warning information based on real-time data analysis.

[0017] A safety monitoring method based on a smart mine site, including the above-mentioned safety monitoring system based on a smart mine site, specifically includes the following steps:

[0018] S1: Install environmental monitoring modules, equipment monitoring modules and personnel monitoring modules at the mine site and collect relevant data in real time;

[0019] S2: The collected data is transmitted to the cloud platform for centralized processing and analysis through the data transmission module;

[0020] S3: Use the data analysis engine on the cloud platform to process data and identify potential security risks;

[0021] S4: Generate safety warning information based on the analysis results, and notify relevant personnel through the alarm system to take emergency measures.

[0022] As a further limitation of the above scheme, the data analysis engine in S3 performs fusion analysis on the collected multi-dimensional data based on artificial intelligence algorithms, and intelligently identifies various safety hazards in mines.

[0023] As a further limitation of the above scheme, the safety warning information in S4 is displayed through a visual interface, and different response measures are automatically triggered according to the warning level.

[0024] The present invention provides a safety monitoring system and method based on a smart mine site.

[0025] Beneficial effects:

[0026] 1. This safety monitoring system and method based on a smart mine site adopts a combination of environmental monitoring, equipment monitoring and personnel monitoring to comprehensively monitor the safety status of the mine site and provide safety protection from multiple angles.

[0027] 2. This is a safety monitoring system and method based on a smart mine site. The data analysis engine of the cloud platform not only has the ability to quickly process real-time data, but also can combine historical data and external environmental factors to intelligently identify potential risks through artificial intelligence algorithms and provide early warnings, greatly improving the level of intelligence in mine safety production.

[0028] 3. This safety monitoring system and method based on a smart mine site can accurately predict potential safety hazards through comprehensive analysis of historical event data and real-time monitoring data, take safety precautions in advance, and reduce the occurrence of sudden accidents.

[0029] 4. This is a safety monitoring system and method based on a smart mine site. Once a safety hazard is discovered, the system can issue early warning information in a timely manner, and combined with the emergency response mechanism, it can help mine managers make decisions quickly and take effective measures to reduce safety risks.

[0030] 5. This is a safety monitoring system and method based on a smart mine site. The system uses automated sensors and intelligent analysis to replace traditional manual inspection and processing methods, which not only reduces labor costs but also improves monitoring accuracy and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the conditions under which the present invention can be implemented, so they have no substantial technical significance.

[0032] Figure 1 The system structure block diagram of the safety monitoring system based on the intelligent mine construction site of the present invention. DETAILED DESCRIPTION

[0033] Example 1

[0034] See also Figure 1As shown, a safety monitoring system based on a smart mine site includes an environment monitoring module, an equipment monitoring module, a personnel monitoring module, a data transmission module and a safety early warning module, wherein:

[0035] The environmental monitoring module is used to collect parameters such as gas concentration, temperature and humidity, and seismic data in the mining environment;

[0036] The equipment monitoring module is used to monitor the operating status and fault information of mining equipment in real time;

[0037] The personnel monitoring module is used to track the location, health status, etc. of mine workers in real time;

[0038] The data transmission module is used to transmit the data collected by each module to the cloud platform;

[0039] The security warning module generates security warning information based on the data analysis results of the cloud platform and provides it to relevant personnel through a visual interface.

[0040] The environmental monitoring module includes gas sensors, temperature and humidity sensors, earthquake sensors and noise sensors, which are used to monitor the environmental safety conditions of mining sites.

[0041] The equipment monitoring module includes equipment status sensors, vibration sensors, temperature sensors, and oil pressure sensors, which are used to monitor the operating status of mining equipment in real time and provide timely feedback on fault information.

[0042] The personnel monitoring module includes a personnel positioning system based on RFID technology, a heart rate monitor, a wearable gas detector, etc., which are used to collect miners' physiological data and location information in real time.

[0043] The data transmission module includes a wireless communication module and a data encryption module to ensure the real-time and security of the monitoring data.

[0044] The security warning module includes a data analysis engine, a warning rule library and an alarm output interface, which is used to generate security warning information based on real-time data analysis.

[0045] 1. Environmental monitoring module

[0046] The environmental monitoring module is responsible for collecting environmental data of the mine site. It includes:

[0047] Gas sensor: monitors the concentration of harmful gases in mines, such as methane and chlorine, to ensure that miners work in a safe environment.

[0048] Temperature and humidity sensor: monitors temperature and humidity changes in mines to prevent safety issues caused by environmental factors (such as excessive temperature or humidity).

[0049] Seismic sensors: monitor seismic activity in mining areas and detect possible mine collapse or other geological disasters in a timely manner.

[0050] Noise sensor: monitors the noise level in the mining area to prevent damage to miners' health caused by excessive noise.

[0051] All environmental data are collected by sensors in real time and transmitted to the data transmission module.

[0052] 2. Equipment monitoring module

[0053] The equipment monitoring module uses a variety of sensors to monitor the operating status of mining equipment in real time to ensure that the equipment is operating normally and detect fault information in a timely manner. Including:

[0054] Equipment status sensor: real-time monitoring of the working status of mining equipment (such as start, stop, load, etc.).

[0055] Vibration sensor: detects whether the equipment has abnormal vibration in order to find equipment failure.

[0056] Temperature sensor: monitors the operating temperature of the equipment to prevent equipment damage or safety accidents caused by excessive temperature.

[0057] Oil pressure sensor: monitors the oil pressure status of the equipment to ensure the normal operation of the hydraulic equipment.

[0058] The real-time operation data of the equipment is transmitted to the cloud platform through the data transmission module for centralized analysis.

[0059] 3. Personnel monitoring module

[0060] The personnel monitoring module is responsible for real-time tracking of the location and health status of mine workers to ensure the safety of miners in high-risk environments. It includes:

[0061] RFID positioning system: Use RFID technology to locate the miners’ specific locations in real time, ensuring dynamic monitoring of personnel in the mine.

[0062] Heart rate monitor: monitors the miners’ heart rate data to detect any abnormalities, such as heart attacks.

[0063] Wearable gas detectors: Wearable gas detectors are used to monitor whether miners are exposed to harmful gas environments to prevent risks such as poisoning or suffocation.

[0064] The miners’ location information and physiological data are transmitted to the data transmission module in real time for further analysis.

[0065] 4. Data transmission module

[0066] The data transmission module is the core transmission channel in the system, responsible for transmitting data from the environment monitoring module, equipment monitoring module and personnel monitoring module to the cloud platform for centralized processing. This module includes:

[0067] Wireless communication module: realizes real-time data transmission and ensures fast and seamless data delivery.

[0068] Data encryption module: ensures the security and confidentiality of data transmission and prevents data leakage and tampering.

[0069] Through this module, all monitoring data can ensure real-time and secure transmission.

[0070] 5. Cloud platform and data analysis

[0071] The cloud platform is the core data processing center of the entire system, responsible for centralized storage, processing and analysis of multi-dimensional data from various monitoring modules. The main functions of the cloud platform include:

[0072] Data analysis engine: Utilizes big data analysis and artificial intelligence algorithms to intelligently analyze the real-time collected environmental, equipment and personnel data to identify potential safety hazards.

[0073] Warning rule base: Based on the preset safety threshold and historical data, the system sets corresponding warning rules. Once the collected data exceeds the preset safety range, the system will immediately trigger an alarm.

[0074] Alarm output interface: Generate corresponding safety warning information based on data analysis results, output it to the mine management personnel's visual interface or notify relevant personnel through SMS, App push, etc.

[0075] 6. Security warning module

[0076] The security warning module generates security warning information based on the data analysis results of the cloud platform to prevent the occurrence of security accidents. This module includes:

[0077] Data analysis engine: reprocesses the analysis results transmitted from the cloud platform to generate specific warning information.

[0078] Visual interface: Safety monitoring data and early warning information are displayed through a graphical interface, allowing relevant personnel to clearly understand the safety status of the mine site.

[0079] Early warning rule library and alarm system: According to the safety threshold set by the early warning rule library, when a certain data is abnormal or exceeds the normal range, the system will issue an alarm in time to remind relevant personnel to take emergency measures.

[0080] A safety monitoring method based on a smart mine site, including the above-mentioned safety monitoring system based on a smart mine site, specifically includes the following steps:

[0081] S1: Install environmental monitoring modules, equipment monitoring modules and personnel monitoring modules at the mine site and collect relevant data in real time;

[0082] S2: The collected data is transmitted to the cloud platform for centralized processing and analysis through the data transmission module;

[0083] S3: Use the data analysis engine on the cloud platform to process data and identify potential security risks;

[0084] S4: Generate safety warning information based on the analysis results, and notify relevant personnel through the alarm system to take emergency measures.

[0085] The data analysis engine in S3 performs fusion analysis on the collected multi-dimensional data based on artificial intelligence algorithms, and intelligently identifies various safety hazards in mines.

[0086] The safety warning information in S4 is displayed through a visual interface and automatically triggers different response measures according to the warning level.

[0087] This embodiment realizes multi-dimensional and all-round intelligent monitoring of mine site safety through the collaborative work of multiple modules such as environment monitoring, equipment monitoring and personnel monitoring. The system collects multiple data of mine environment, equipment and personnel in real time, conducts centralized analysis, identifies potential safety hazards, and issues early warnings in a timely manner, helping mine managers to take emergency measures in a timely manner and effectively prevent accidents, thereby improving the safety of mine sites.

[0088] Example 2

[0089] Based on Example 1, a safety monitoring system based on a smart mine site includes an environment monitoring module, an equipment monitoring module, a personnel monitoring module, a data transmission module and a safety warning module.

[0090] In the mine site, the environmental monitoring module is installed with a variety of sensors, such as gas sensors, temperature and humidity sensors, seismic sensors, and noise sensors, which continuously monitor the environmental parameters of the mine site. When the gas concentration exceeds the safety threshold, or the temperature and humidity fluctuate abnormally, the environmental monitoring module will immediately collect data and upload the data to the cloud platform through the data transmission module. At the same time, the equipment monitoring module monitors the operating status of the mining equipment in real time. When abnormal vibration, excessive temperature, or abnormal oil pressure of the equipment is detected, the system will issue an alarm in time. The personnel monitoring module uses RFID technology to track the position of the miners in real time, and collects physiological data such as the miners' heart rate. When the miners' physiological parameters are abnormal or they enter a high-risk area, the system will trigger an alarm.

[0091] The system collects mine environmental data in real time through the environmental monitoring module, the equipment monitoring module detects the equipment status, and the personnel monitoring module ensures the safety of miners. Once the data exceeds the preset safety threshold, the system will transmit the data to the cloud platform in real time for intelligent analysis through the data transmission module. The data analysis engine in the cloud platform conducts intelligent analysis of multi-dimensional data based on big data analysis and artificial intelligence algorithms, identifies potential safety hazards, and generates corresponding safety warning information. Finally, the safety warning module sends an alarm to mine managers to take emergency measures to avoid safety accidents.

[0092] Example 3

[0093] Based on Example 2, the system further increases the intelligence of mine safety analysis. In the equipment monitoring module, more intelligent sensors are added, such as equipment failure prediction sensors and intelligent maintenance systems. These intelligent sensors can predict possible equipment failures in advance based on historical data and the real-time operating status of the equipment, and promptly prompt operators to perform repairs. In the personnel monitoring module, biosensors are added to monitor the miners' heart rate, body temperature and other health conditions in real time, and analyze health data through AI algorithms.

[0094] In this embodiment, the intelligent sensor of the equipment monitoring module not only monitors the equipment status, but also analyzes the historical operation data of the equipment according to the machine learning algorithm to predict possible failures. The biosensor in the personnel monitoring module not only obtains the miner's heart rate and body temperature in real time, but also analyzes the miner's fatigue and stress through artificial intelligence. If the miner has physiological abnormalities, the system will promptly issue an alarm and locate the miner's specific location so that rescue personnel can intervene quickly.

[0095] Example 4

[0096] Based on Example 3, the system further expands the big data analysis function. By collecting historical safety event data from different mine sites and combining external factors such as meteorological data and geological data, the system's artificial intelligence module can make more accurate predictions and analyses of safety risks at mine sites. The data analysis engine in the cloud platform not only analyzes current real-time data, but also builds a risk prediction model based on historical data, thereby giving early warnings before potential risks occur.

[0097] In this embodiment, the data analysis engine of the cloud platform not only performs intelligent analysis on real-time data, but also integrates it with historical data and makes comprehensive predictions based on external environmental factors (such as meteorological data, geological data, etc.). Specifically, the system collects historical safety event data from different mining sites, such as equipment failures, gas leaks, mine collapses, and other events, and compares these historical data with current real-time monitoring data. Through learning and in-depth analysis of historical data, the system can identify potential safety risk patterns and establish intelligent safety risk prediction models based on these patterns.

[0098] In addition, the cloud platform will also access external meteorological data (such as wind speed, temperature, precipitation, etc.) and geological data (such as seismic activity, crustal movement, etc.) in real time, and combine these data with the actual situation of the mine site to further improve the accuracy of the prediction. Through this multi-dimensional data fusion analysis, the system can identify potential hidden dangers in the mine site in advance. For example, if historical data shows that a certain equipment is prone to failure under certain meteorological conditions, or a certain gas is prone to leakage at a certain stage of mining, the system will be able to automatically predict and issue an alarm based on real-time data and external environmental conditions.

[0099] When the risk prediction model finds that a potential danger is about to occur, the system will automatically generate warning information and convey it to mine managers or relevant emergency response personnel through various channels (such as text messages, App push, visual interface, etc.). At this time, managers can take necessary emergency measures based on the warning information, such as evacuating personnel, stopping work for inspection, scheduling maintenance, etc., thereby effectively reducing the probability of accidents.

[0100] Through the above embodiments, the safety monitoring system and method based on the intelligent mine site of the present invention effectively achieves:

[0101] 1. Multi-dimensional safety monitoring: The present invention adopts a combination of environmental monitoring, equipment monitoring and personnel monitoring to comprehensively monitor the safety status of the mine site and provide safety protection from multiple angles.

[0102] 2. Real-time intelligent analysis: The cloud platform's data analysis engine not only has the ability to quickly process real-time data, but also can combine historical data and external environmental factors to intelligently identify potential risks through artificial intelligence algorithms and provide early warnings, greatly improving the level of intelligence in mine safety production.

[0103] 3. Accurate risk prediction: Through comprehensive analysis of historical event data and real-time monitoring data, the system can accurately predict potential safety hazards, take safety precautions in advance, and reduce the occurrence of emergencies.

[0104] 4. Emergency response mechanism: Once a safety hazard is discovered, the system can issue early warning information in a timely manner, and combined with the emergency response mechanism, help mine managers make quick decisions and take effective measures to reduce safety risks.

[0105] 5. Reduce labor costs and errors: This system uses automated sensors and intelligent analysis to replace traditional manual inspection and processing methods, which not only reduces labor costs but also improves monitoring accuracy and efficiency.

[0106] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A safety monitoring system based on a smart mine site, characterized by: It includes environment monitoring module, equipment monitoring module, personnel monitoring module, data transmission module and safety early warning module, among which: The environmental monitoring module is used to collect parameters such as gas concentration, temperature and humidity, and seismic data in the mine environment; The equipment monitoring module is used to monitor the operating status, fault information, etc. of mining equipment in real time; The personnel monitoring module is used to track the location, health status, etc. of mine workers in real time; The data transmission module is used to transmit the data collected by each module to the cloud platform; The security warning module generates security warning information based on the data analysis results of the cloud platform and provides it to relevant personnel through a visual interface.

2. A safety monitoring system based on a mine smart site according to claim 1, characterized in that: The environmental monitoring module includes a gas sensor, a temperature and humidity sensor, a seismic sensor and a noise sensor, and is used to monitor the environmental safety status of a mine site.

3. The safety monitoring system based on a mine smart site according to claim 1 is characterized in that: The equipment monitoring module includes an equipment status sensor, a vibration sensor, a temperature sensor, and an oil pressure sensor, which are used to monitor the operating status of mining equipment in real time and provide timely feedback on fault information.

4. The safety monitoring system based on a mine smart site according to claim 1 is characterized in that: The personnel monitoring module includes a personnel positioning system based on RFID technology, a heart rate monitor, a wearable gas detector, etc., which are used to collect the miners' physiological data and location information in real time.

5. The safety monitoring system based on a mine smart site according to claim 1 is characterized in that: The data transmission module includes a wireless communication module and a data encryption module to ensure the real-time and security of the monitoring data.

6. The safety monitoring system based on a mine smart site according to claim 1 is characterized in that: The safety warning module includes a data analysis engine, a warning rule library and an alarm output interface, which is used to generate safety warning information based on real-time data analysis.

7. A safety monitoring method based on a smart mine site, characterized in that: The safety monitoring system based on a smart mine site according to any one of claims 1 to 6 specifically comprises the following steps: S1: Install environmental monitoring modules, equipment monitoring modules and personnel monitoring modules at the mine site and collect relevant data in real time; S2: The collected data is transmitted to the cloud platform for centralized processing and analysis through the data transmission module; S3: Use the data analysis engine on the cloud platform to process data and identify potential security risks; S4: Generate safety warning information based on the analysis results, and notify relevant personnel through the alarm system to take emergency measures.

8. A safety monitoring method based on a mine smart site according to claim 7, characterized in that: The data analysis engine in S3 performs fusion analysis on the collected multi-dimensional data based on artificial intelligence algorithms, and intelligently identifies various safety hazards in mines.

9. A safety monitoring method based on a mine smart site according to claim 7, characterized in that: The safety warning information in S4 is displayed through a visual interface, and different response measures are automatically triggered according to the warning level.

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