Panoramic scanning coal fire detection and disaster early-warning, prevention and control apparatus for mining area

Abstract

A panoramic scanning coal fire detection and disaster early-warning, prevention and control apparatus for a mining area, the apparatus comprising a detection apparatus, a laser scanning apparatus, a satellite remote-sensing monitoring apparatus, a data processing and analysis system, and an early-warning, prevention and control apparatus. High-precision thermistor temperature sensors (1) are arranged inside, on the surface and in surrounding areas of coal piles, such that subtle changes in the temperature of the coal piles can be accurately captured, and early-stage potential coal fire hazards can be effectively detected; gas sensors (2) installed at vents of a mining area can simultaneously measure the concentrations of gases such as carbon monoxide, carbon dioxide, methane and sulfur dioxide, so as to promptly identify anomalies in gas composition that are caused by coal fire combustion; an infrared thermal imager (3), which is located at a high position to acquire a panoramic view of the mining area, can clearly display high-temperature regions; and cameras (4) provide high-definition, wide-angle and low-illumination visual monitoring, and various sensors comprehensively collect data from different dimensions, thereby greatly improving the accuracy and comprehensiveness of monitoring.

Description

Mine panoramic scanning coal fire detection and disaster early warning prevention and control device TECHNICAL FIELD

[0001] The present application relates to the technical field of coal mine safety monitoring, in particular to a mine panoramic scanning coal fire detection and disaster early warning prevention and control device. BACKGROUND

[0002] Coal, as an important basic energy resource in the world, has always played a crucial role in China's energy structure. For a long time, coal has played an indispensable role in many fields such as industrial production, power supply and residential life, and is the key support for ensuring national energy security and economic stable development. However, the occurrence of coal fire has always been a stubborn problem that plagues the development of the industry in the process of coal mining, transportation and storage.

[0003] The causes of coal fire are complex and diverse, including the oxidation and heat release of coal itself, poor ventilation conditions, and the influence of geological structure. Once a coal fire occurs, it is extremely serious. On the one hand, the continuous burning of coal fire will cause a large amount of coal resources to be consumed unnecessarily, resulting in a great waste of resources, which is undoubtedly a huge loss for non-renewable coal resources. On the other hand, a large amount of harmful gases such as sulfur dioxide, nitrogen oxides, and carbon monoxide will be released during the combustion process of coal fire, which not only causes serious pollution to the atmospheric environment around the mine, but also spreads with the atmospheric circulation, affecting the air quality of a wider area. At the same time, coal fire will also cause damage to ecological environmental elements such as soil and water in the mine, leading to a series of ecological problems such as vegetation death, land desertification, water pollution, and serious threats to the ecological balance of the mine and surrounding areas. In addition, the existence of coal fire may also cause fire, explosion and other safety accidents, directly threatening the life safety and property safety of mine workers, and causing heavy losses to enterprises and society.

[0004] Traditional coal fire detection methods have many limitations that are difficult to overcome. Manual inspection, as the most basic detection method, mainly relies on the experience and naked eye observation of workers. However, this method is extremely inefficient, and the coverage of manual inspection is extremely limited in a vast mine, making it difficult to achieve comprehensive and systematic monitoring. Moreover, manual inspection is obviously restricted by terrain and environmental conditions, and it is difficult for workers to reach some areas with complex terrain and poor transportation conditions, such as mountainous areas and gully areas, and it is even more difficult to find hidden coal fire hazards in deep places.

[0005] Some simple sensor monitoring systems improve the level of automation of monitoring to some extent, but also have serious defects. These systems can often only obtain single-dimensional information, such as only monitoring temperature or only detecting the concentration of a certain gas. However, the occurrence and development of coal fires is a complex process involving multiple physical and chemical changes, and single-dimensional information cannot fully and accurately reflect the true situation of coal fires. For example, relying only on temperature sensors for monitoring may misjudge due to fluctuations in ambient temperature, and cannot accurately determine the occurrence of coal fires; only detecting gas concentration also makes it difficult to discover hidden dangers in the early stages of coal fires when gas concentration changes are not obvious. SUMMARY

[0006] In view of the above problems in the prior art, the present application provides a mine panoramic scanning coal fire detection and disaster early warning and prevention and control device, which aims to solve the many limitations of traditional coal fire detection methods. Artificial inspection, as the most basic detection method, mainly relies on the experience and naked eye observation of workers. However, this method is extremely inefficient, and the coverage of artificial inspection is extremely limited in a vast mine area, making it difficult to achieve comprehensive and systematic monitoring. Moreover, artificial inspection is obviously restricted by terrain and environmental conditions, and it is difficult for workers to reach some areas with complex terrain and poor transportation, such as mountainous areas and gully areas, and it is even more difficult to discover hidden coal fire hazards in deep places. Some simple sensor monitoring systems improve the level of automation of monitoring to some extent, but also have serious defects. These systems can often only obtain single-dimensional information, such as only monitoring temperature or only detecting the concentration of a certain gas. However, the occurrence and development of coal fires is a complex process involving multiple physical and chemical changes, and single-dimensional information cannot fully and accurately reflect the true situation of coal fires. For example, relying only on temperature sensors for monitoring may misjudge due to fluctuations in ambient temperature, and cannot accurately determine the occurrence of coal fires; only detecting gas concentration also makes it difficult to discover hidden dangers in the early stages of coal fires when gas concentration changes are not obvious.

[0007] In order to achieve the above-mentioned purposes, the technical scheme adopted by the present application is:

[0008] The mine panoramic scanning coal fire detection and disaster early warning and prevention and control device comprises:

[0009] The detection device comprises a temperature sensor, a gas sensor, an infrared thermal imager and a camera;

[0010] The temperature sensor adopts a high-precision thermistor temperature sensor with a measurement accuracy of ±0.1℃, is connected to the data acquisition module through a high-temperature-resistant cable, and is arranged inside, on the surface and in the surrounding area of the coal pile, and can sense the temperature change at different positions in real time; the gas sensor is installed at the mine ventilation opening, can detect the concentration of carbon monoxide, carbon dioxide, methane and sulfur dioxide gas, the detection lower limit is ppm level, adopts anti-interference gas conduction technology, and is connected to the data acquisition module through a shielded cable; the infrared thermal imager has a thermal sensitivity less than 50mK and a resolution not less than 640*512, is installed at a high place to obtain a panoramic view of the mine area, communicates with the data acquisition module through a digital video interface, and can perform thermal imaging monitoring on a large area; the camera has a resolution not less than 3840*2160 pixels, a frame rate of 60fps or more, a horizontal field of view angle not less than 120°, and an illumination of 0.01Lux or less, is connected to the data acquisition module through a high-definition video line, and is used to obtain clear panoramic images of the mine area.

[0011] The laser scanning device is composed of a UAV and a laser scanner installed on the UAV. The maximum climbing speed of the UAV is 8 meters per second, the maximum descending speed is 6 meters per second, the maximum horizontal flight speed is 23 meters per second, the wind resistance is 12 meters per second, the hovering accuracy is ±10mm, a high-precision inertial navigation system and a global positioning system are carried to ensure the accuracy of the flight trajectory; the single-point accuracy of the laser scanner is ±3mm, the scanning speed is not less than 50000 points per second, the ranging range is 0.1-2000m, the laser wavelength is 1550nm, the horizontal scanning angle is 360°, the vertical scanning angle is not less than 180°, the angular resolution is 0.01°, data transmission is performed with the control device through a wireless communication module, and high-precision three-dimensional scanning modeling of the mine area terrain and coal pile can be performed.

[0012] The satellite remote sensing monitoring device includes a satellite remote sensing platform and a ground receiving device. The satellite remote sensing platform carries a multi-spectral sensor to obtain remote sensing image data of the mine area at different wave bands, the ground receiving device receives satellite data through a high-gain directional antenna, and transmits the data to the control device through a special data transmission line for macroscopic monitoring of large-area coal fires and potential hidden danger areas.

[0013] The data processing and analysis system comprises a control device, wherein a data acquisition module, a data cleaning module, a data fusion module, a data analysis module and a warning module are arranged in the control device. The control device is electrically connected with the data acquisition module, the data cleaning module, the data fusion module, the data analysis module and the warning module through an internal high-speed bus. The data acquisition module adopts a multi-channel parallel acquisition technology and can simultaneously acquire various sensor data. The data cleaning module removes data noise by using an adaptive filtering algorithm. The data fusion module adopts a Kalman filtering fusion algorithm to fuse data from different sources. The data analysis module analyzes the fused data based on a deep learning algorithm to determine a coal fire risk. The warning module sends a warning signal according to the analysis result.

[0014] The early warning and prevention device comprises an audible and visual alarm and a fire control controller. The audible and visual alarm is connected with the control device through a control cable and is started when the warning module sends a warning signal. The fire control controller is connected with a mine area fire control system and receives instructions of the control device through a control bus to start a fire control equipment to perform fire extinguishing operation.

[0015] Further, the temperature sensor is arranged in the coal pile by a pre-embedded metal sleeve method, is installed on the surface of the coal pile by a magnetic attraction type, and is fixedly installed by a stand column type in the peripheral area.

[0016] Further, the gas sensor has an automatic calibration function and automatically performs zero point calibration and span calibration every 24 hours.

[0017] Further, the infrared thermal imager has an image real-time enhancement function and can automatically adjust image contrast and brightness.

[0018] Further, the camera adopts a fisheye lens to realize panoramic shooting in a larger range.

[0019] Further, the unmanned aerial vehicle adopts a foldable structure, is convenient to carry and transport, and the battery adopts a rapid charging technology, and the charging time is not more than 30 minutes.

[0020] Further, the data revisit period of the satellite remote sensing platform is not more than 3 days to ensure real-time monitoring of the mine area.

[0021] Further, the control device adopts an industrial-grade embedded processor and has a redundant power module to ensure stable operation of the system in a complex environment.

[0022] Further, the audible and visual alarm has multiple alarm modes and can send alarm sounds with different frequencies and volumes according to different warning levels.

[0023] Further, the fire control device has a remote control function and can be remotely operated by a control device through a wireless network.

[0024] The present application has the following advantages:

[0025] The mine panoramic scanning coal fire detection and disaster early warning and prevention device can accurately capture the subtle changes in the temperature of the coal pile and effectively detect early coal fire hazards by arranging high-precision thermistor temperature sensors inside, on the surface and around the coal pile. The gas sensor installed at the mine ventilation opening can detect the concentration of carbon monoxide, carbon dioxide, methane, sulfur dioxide and other gases at the same time, and timely detect the abnormal gas composition caused by coal fire burning. The infrared thermal imager located at a high place can clearly present the high temperature area; the camera provides high-definition, wide-angle, low-illumination visual monitoring, and multiple sensors collect data from different dimensions, greatly improving the accuracy and comprehensiveness of monitoring.

[0026] The unmanned aerial vehicle equipped with a high-precision laser scanner can flexibly and efficiently fly in the mine. The laser scanner can quickly obtain the three-dimensional model and spatial information of the mine's high-precision topography, geological structure and coal pile, and timely detect the changes in the shape of the coal pile and the displacement of the ground surface by comparing the three-dimensional models at different time points, providing strong data support for coal fire hazard and geological disaster risk monitoring.

[0027] With the help of satellite remote sensing platform and ground receiving device, image data of large area mine can be obtained. Satellite remote sensing has the advantages of periodic observation and macro monitoring, which can grasp the overall situation of the mine from a macro perspective. By analyzing multispectral image data and ground temperature data, it can timely detect the features such as ground temperature rise and vegetation withering caused by coal fire burning, and realize early warning and large-scale monitoring of coal fire.

[0028] The control device of the data processing and analysis system is electrically connected with the data acquisition module, data cleaning module, data fusion module, data analysis module and early warning module through the internal bus, and works efficiently and collaboratively. The data acquisition module simultaneously collects data from various sensors at a set time interval and performs preliminary format conversion, the data cleaning module removes noise and outliers, the data fusion module fuses multi-source data using advanced algorithms, the data analysis module accurately judges coal fire hazards and geological disaster risks using image recognition and data analysis techniques, greatly improving the accuracy and reliability of the judgment.

[0029] When the data analysis module determines that there is a risk, the early warning module quickly sends a warning signal through the sound and light alarm, and the fire control device is connected with the mine fire control system, which can automatically adjust the water flow and pressure of the fire control system according to the severity of the coal fire hazard, realize accurate fire extinguishing, effectively reduce disaster losses, protect the safety of personnel and property in the mine, and maintain the stability of the ecological environment in the mine. BRIEF DESCRIPTION OF DRAWINGS

[0030] Fig. 1 is a perspective view of the mine panoramic scanning coal fire detection and disaster early warning and prevention device of the present application;

[0031] Fig. 2 is a structural diagram of the mine panoramic scanning coal fire detection and disaster early warning and prevention device of the present application;

[0032] Fig. 3 is a structural diagram of the data processing and analysis system of the present application.

[0033] BRIEF DESCRIPTION OF DRAWINGS

[0034] 1, temperature sensor; 2, gas sensor; 3, infrared thermal imager; 4, camera; 5, unmanned aerial vehicle; 6, laser scanner; 7, satellite remote sensing platform; 8, ground receiving device; 9, control device; 10, data acquisition module; 11, data cleaning module; 12, data fusion module; 13, data analysis module; 14, early warning module; 15, audible and visual alarm; 16, fire control controller. DETAILED DESCRIPTION

[0035] The specific embodiments of the present application will be further described below in conjunction with the accompanying drawings. The same parts are denoted by the same reference numerals.

[0036] It should be noted that the words "front", "back", "left", "right", "up" and "down" used in the following description refer to the directions in the drawings, and the words "in" and "out" refer to the directions towards or away from the geometric center of a particular part.

[0037] In order to make the content of the present application more easily understood, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present application.

[0038] Coal, as an important energy resource, is a serious threat to mine safety, environment and sustainable use of resources during mining, storage and transportation. Coal fire not only causes a large amount of waste of coal resources, but also releases harmful gases, pollutes the environment, and even causes geological disasters. In order to effectively solve this problem, the mine panoramic scanning coal fire detection and disaster early warning and prevention device has emerged as the times require. The device integrates a variety of advanced technical means, which can realize omnidirectional, real-time and accurate detection of coal fire in the mine, and timely issue early warning and start prevention and control measures, providing a strong guarantee for the safety production and sustainable development of the mine.

[0039] As shown in FIGS. 1-3, the mine panoramic scanning coal fire detection and disaster early warning and prevention device mainly consists of five core parts: a detection device, a laser scanning device, a satellite remote sensing monitoring device, a data processing and analysis system, and an early warning and prevention device. Each part cooperates with each other to form a complete closed-loop system, from data acquisition, transmission, processing and analysis to early warning and prevention, realizing the whole process control of coal fire disaster.

[0040] The detection device includes a temperature sensor. The temperature sensor 1 adopts a high-precision thermistor temperature sensor, with a measurement accuracy of up to ±0.1℃. This high-precision temperature measurement capability is crucial for accurately capturing the subtle changes in temperature inside, on the surface, and in the surrounding area of the coal pile. Coal fires often show a slow rise in local temperature in the early stage, and only high-sensitivity temperature sensors can detect these potential danger signals in time.

[0041] Installation method: Inside the coal pile, the temperature sensor is arranged by embedding a metal sleeve. The metal sleeve not only protects the temperature sensor from being squeezed and worn by the coal pile, but also ensures that the sensor is in full contact with the coal body, accurately measuring the internal temperature of the coal pile. On the surface of the coal pile, magnetic type installation is adopted, which is convenient and fast, and the sensor position can be adjusted flexibly according to needs to monitor the temperature distribution on the surface of the coal pile in real time. In the surrounding area, a column type fixed installation is adopted to fix the sensor at a suitable height to monitor the temperature changes in the surrounding environment comprehensively.

[0042] Data transmission: The temperature sensor is connected to the data acquisition module 10 through a high-temperature resistant cable. The high-temperature resistant cable can work stably in high-temperature environment, ensuring reliable transmission of temperature data and avoiding data loss or errors caused by cable failure.

[0043] Gas sensor: The detection capability of the gas sensor 2 installed at the mine ventilation port is strong, with the ability to detect the concentration of carbon monoxide, carbon dioxide, methane, and sulfur dioxide gas simultaneously, with a detection lower limit reaching ppm level. When a coal fire occurs, it will release a variety of harmful gases, and the concentration changes of these gases can reflect the development stage and severity of the coal fire. For example, the increase of carbon monoxide concentration may indicate incomplete combustion of coal, which is one of the early signs of coal fire.

[0044] The gas conduction technology is adopted to effectively avoid the interference of external environmental factors on gas detection, ensuring the accuracy of detection data. Even in complex environments in the mine, such as the presence of a large amount of dust and electromagnetic interference, the gas sensor can still work stably and accurately detect the gas concentration.

[0045] Calibration function: Gas sensor 2 has an automatic calibration function, which automatically performs zero point calibration and span calibration every 24 hours. The calibration process does not require manual intervention. Through the internal preset calibration program, the sensor is calibrated using standard gas to ensure that the sensor always maintains high-precision detection performance.

[0046] Data transmission: connected to data acquisition module 10 through a shielded cable, which can effectively shield external electromagnetic interference and ensure accurate transmission of gas concentration data.

[0047] Infrared thermal imager, infrared thermal imager 3 thermal sensitivity less than 50mK, resolution not less than 640×512. High thermal sensitivity means that it can detect small temperature differences, even in areas where temperature changes are not obvious, it can also clearly image. High resolution ensures the clarity of the image, which can accurately identify the temperature distribution on the surface of the coal pile and find potential high temperature areas.

[0048] The infrared thermal imager is installed in a high place to obtain a panoramic view of the mine area, such as a lookout tower, the top of a building, etc. Such installation can achieve thermal imaging monitoring of large areas of the mine area, with a wide coverage range, and can timely discover temperature anomalies in the coal pile and surrounding areas.

[0049] Image enhancement function: with real-time image enhancement function, which can automatically adjust the contrast and brightness of the image. Under different lighting conditions, it can generate clear and easy-to-observe thermal imaging images. For example, in strong sunlight during the day or dim light at night, the image enhancement function can automatically optimize the image quality, allowing operators to more accurately analyze the temperature information in the image.

[0050] Data transmission: communicates with data acquisition module 10 through a digital video interface, which has fast transmission speed and stable signal, and can transmit thermal imaging image data to the data acquisition module in real time, providing timely data support for subsequent data processing and analysis.

[0051] Camera, camera 4 resolution not less than 3840×2160 pixels, frame rate 60fps or more, horizontal field of view not less than 120°, illuminance 0.01Lux or less. High resolution can capture clear image details to identify abnormal conditions on the surface of the coal pile, such as smoke and open flames.

[0052] High frame rate ensures smoothness of the image, which can capture dynamic changes in real time. Large horizontal field of view can achieve wider area monitoring, and low illumination performance allows the camera to work normally in low light environments.

[0053] The lens adopts a fisheye lens to achieve a larger range of panoramic shooting. The fisheye lens can provide an ultra-wide view, incorporating a large area of the mine scene into the shooting range, reducing the monitoring blind area, and providing rich image information for comprehensive understanding of the mine situation.

[0054] Data transmission: connected to the data acquisition module 10 through a high-definition video line, which can ensure high-quality transmission of video signals and ensure the clarity and integrity of images.

[0055] The laser scanning device comprises:

[0056] The unmanned aerial vehicle has a maximum climbing speed of 8 meters per second, a maximum descending speed of 6 meters per second, a maximum horizontal flight speed of 23 meters per second, an anti-wind capability of 12 meters per second, and a hovering accuracy of ±10mm. These outstanding flight performance indicators enable the unmanned aerial vehicle to fly flexibly in complex mine environments, adapting to different terrains and weather conditions. For example, in strong wind environments, it can still maintain a stable flight attitude and accurately reach the designated position for data collection.

[0057] Navigation system: equipped with high-precision inertial navigation system and global positioning system, capable of realizing autonomous navigation and accurate position positioning. During flight, the inertial navigation system can monitor the attitude changes of the unmanned aerial vehicle in real time, and the global positioning system can provide accurate geographic position information. The two systems work together to ensure that the unmanned aerial vehicle flies along the predetermined route and accurately reaches the area to be scanned.

[0058] Adopting a foldable structure, it is convenient for carrying and transportation. When not in use, the unmanned aerial vehicle can be folded into a smaller volume, facilitating storage and transportation to different mine operation sites. At the same time, the battery adopts fast charging technology, and the charging time is not more than 30 minutes, greatly improving the use efficiency of the unmanned aerial vehicle and reducing the waiting time for charging.

[0059] Laser scanner: the single-point accuracy of the laser scanner 6 is ±3mm, the scanning speed is not less than 50000 points per second, the ranging range is 0.1-2000m, the laser wavelength is 1550nm, the horizontal scanning angle is 360°, the vertical scanning angle is not less than 180°, and the angular resolution is 0.01°. The high-precision single-point accuracy can ensure accurate measurement of coal piles and mine terrain, and the fast scanning speed improves data acquisition efficiency, enabling the acquisition of a large amount of three-dimensional data in a short time. The large ranging range and wide scanning angle enable the laser scanner to scan a large area of the mine and obtain comprehensive terrain and coal pile shape information.

[0060] Data transmission: Data transmission is carried out through the wireless communication module with the control device 9. The wireless communication module adopts advanced communication protocols and can stably transmit data in complex electromagnetic environments. The three-dimensional point cloud data collected by the laser scanner is transmitted to the control device in a timely manner, providing a data basis for subsequent modeling and analysis.

[0061] The satellite remote sensing monitoring device comprises:

[0062] The satellite remote sensing platform 7 carries a multi-spectral sensor that can obtain remote sensing image data of different wavebands in the mining area. Different waveband image data can reflect different characteristics of the mining area surface. For example, the near-infrared waveband can be used to monitor vegetation coverage, and the thermal infrared waveband can be used to detect the temperature distribution of coal piles. Through analysis of multi-spectral image data, the overall situation of the mining area can be understood from a macro perspective, and potential coal fire hazard areas can be found.

[0063] Data revisit period: The data revisit period is not more than 3 days, which means that the mining area can be monitored at a high frequency, and dynamic changes in the mining area, such as the position movement of coal piles and new coal fire occurrence areas, can be found in a timely manner. A shorter data revisit period provides strong support for timely prevention and control measures.

[0064] Ground receiving device:

[0065] Antenna technology: The ground receiving device 8 receives satellite data through a high-gain directional antenna. The high-gain directional antenna can enhance the reception capability of satellite signals, improve the accuracy and stability of data reception. Even in the case of weak satellite signals, data can be effectively received to ensure continuous acquisition of satellite remote sensing data.

[0066] Data transmission: Data is transmitted to the control device 9 through a dedicated data transmission line. The dedicated data transmission line can ensure the safety and stability of data transmission, avoiding data interference or loss during transmission.

[0067] Data processing and analysis system comprises:

[0068] Control device: The control device 9 adopts an industrial-grade embedded processor with powerful data processing capability, which can process a large amount of data from the detection device, laser scanning device and satellite remote sensing monitoring device in real time. At the same time, it is equipped with a redundant power module to ensure that the system can still operate stably in complex environments such as power fluctuations and temporary power outages, ensuring the continuity of data processing and analysis.

[0069] Internal connection: connected with data acquisition module 10, data cleaning module 11, data fusion module 12, data analysis module 13 and early warning module 14 through internal high-speed bus. The internal high-speed bus can realize fast data transmission between modules, improve the overall operation efficiency of the system.

[0070] Data acquisition module: data acquisition module 10 adopts multi-channel parallel acquisition technology, which can simultaneously acquire various sensor data. This technology can greatly improve the speed and efficiency of data acquisition, ensure the acquisition of data of various devices such as temperature sensor, gas sensor, infrared thermal imager and camera at the same time, and provide comprehensive and timely data support for subsequent data processing and analysis.

[0071] Data cleaning module: data cleaning module 11 uses adaptive filtering algorithm to remove data noise. In the actual data acquisition process, due to the interference of various external factors such as electromagnetic interference and environmental noise, the collected data may have noise. Adaptive filtering algorithm can automatically adjust the filtering parameters according to the characteristics of the data, effectively remove the noise and improve the quality of the data, providing a reliable data basis for subsequent data fusion and analysis.

[0072] Data fusion module: data fusion module 12 uses Kalman filter fusion algorithm to fuse data from different sources. Different detection devices reflect the characteristics of coal fire from different angles. Through Kalman filter fusion algorithm, these data can be organically combined to fully utilize the advantages of each data and improve the accuracy of coal fire state judgment. For example, after fusing temperature sensor data, gas sensor data and infrared thermal imager data, the position, scale and development stage of coal fire can be more comprehensively and accurately judged.

[0073] Data analysis module: data analysis module 13 analyzes the fused data based on deep learning algorithm to judge the risk of coal fire. Deep learning algorithm has strong pattern recognition and data analysis ability. Through learning and training of a large number of historical data, an accurate coal fire risk assessment model can be established. In practical application, the real-time collected and fused data is input into the model, which can quickly and accurately judge the risk level of coal fire and provide scientific basis for early warning and prevention.

[0074] Early warning module: early warning module 14 sends early warning signal according to the analysis result. When the data analysis module judges that the risk of coal fire reaches a certain level, the early warning module starts immediately, sends early warning signal to sound and light alarm 15 through control cable, and sends control instruction to fire control controller 16 to start corresponding early warning and prevention measures.

[0075] Early warning and prevention device includes:

[0076] The sound and light alarm has multiple alarm modes, and can emit alarm sounds of different frequencies and volumes according to different warning levels. For example, at a low risk of coal fire warning level, a relatively soft and low frequency alarm sound is emitted; while at a high risk warning level, a sharp, high frequency and loud alarm sound is emitted, so as to timely attract the attention of the mine staff and take appropriate measures.

[0077] Connection mode: connected to the control device 9 through the control cable, ensuring that the warning signal can be accurately and timely transmitted to the sound and light alarm, ensuring that the alarm can be started in the first time.

[0078] The fire control controller 16 is connected with the mine fire control system, receives the instructions of the control device 9 through the control bus, and starts the fire extinguishing equipment for fire extinguishing operation. The fire control controller has a remote control function and can be remotely operated by the control device 9 through a wireless network. When a coal fire occurs, even if the operator is not at the fire control equipment site, the fire control controller can be remotely controlled to start the fire control water pump, spray fire extinguishing agent and other equipment in time, quickly extinguish the coal fire and reduce the loss.

[0079] Device working process:

[0080] Data acquisition stage: the temperature sensor, gas sensor, infrared thermal imager and camera in the detection device collect temperature, gas concentration, thermal imaging image and video image data of the coal pile and surrounding area in real time; the unmanned aerial vehicle of the laser scanning device carries a laser scanner to conduct three-dimensional scanning of the mine area, and obtains terrain and coal pile shape data; the satellite remote sensing platform of the satellite remote sensing monitoring device obtains remote sensing image data of the mine area through a multispectral sensor, and the ground receiving device transmits the data to the control device.

[0081] Data transmission and processing stage: the data collected by each device is transmitted to the control device through the corresponding transmission line or communication module, the data acquisition module in the control device collects data using multi-channel parallel acquisition technology, the data cleaning module removes noise using adaptive filtering algorithm, the data fusion module fuses data from different sources using Kalman filter fusion algorithm, and the data analysis module analyzes the fused data based on deep learning algorithm to judge the risk of coal fire.

[0082] Early warning and prevention stage: the early warning module sends a warning signal according to the result of the data analysis module, the sound and light alarm is started to remind the mine staff, and at the same time, the fire control controller receives the instructions of the control device to start the mine fire control system for fire extinguishing operation, realizing timely warning and effective prevention of coal fire disaster.

[0083] The mine panoramic scanning coal fire detection and disaster early warning and prevention device of the present application integrates multiple detection technologies, including temperature monitoring, gas detection, thermal imaging and video monitoring, as well as laser scanning and satellite remote sensing, achieving comprehensive monitoring of the mine from the micro to the macro, and enabling comprehensive and accurate understanding of the occurrence and development of coal fires.

[0084] Each detection device uses advanced technology and high-sensitivity sensors to obtain high-precision data, such as temperature sensors with ±0.1℃ measurement accuracy and gas sensors with ppm-level detection lower limit, providing reliable data basis for accurate judgment of coal fire risks.

[0085] Fast data acquisition, transmission and processing analysis enable real-time monitoring of dynamic changes in coal fires, timely issuance of early warnings and initiation of prevention measures, effectively reducing losses caused by coal fires.

[0086] Intelligent analysis: the data analysis module based on deep learning algorithm can automatically judge coal fire risks without excessive human intervention, improving the accuracy and efficiency of analysis.

[0087] Each device uses advanced technology and reliable design, such as the wind resistance of unmanned aerial vehicles, the short revisit period of satellite remote sensing platforms, and the redundant power module of control devices, ensuring stable operation of the entire system in complex mine environments.

[0088] The mine panoramic scanning coal fire detection and disaster early warning and prevention device integrates multiple advanced technologies to build a powerful and reliable coal fire monitoring and prevention system. From data acquisition to early warning and prevention, the entire process is automatically operated, effectively improving the mine's ability to respond to coal fire disasters, ensuring the safe exploitation and storage of coal resources, reducing environmental pollution, and promoting the sustainable development of the mine. With continuous technological progress and improvement, the device is expected to be widely used in more mines, making greater contributions to the safe production and green development of the coal industry.

[0089] The mine panoramic scanning coal fire detection and disaster early warning and prevention device has significant advantages in technological innovation and practical application, and is of great significance to the safety of mines and the sustainable use of resources.

[0090] The above description is only a preferred embodiment of the present application patent and does not limit the present application patent. Any modification, equivalent replacement and improvement made within the spirit and principles of the present application patent shall be included in the protection scope of the present application patent.

Claims

1. A mine panoramic scanning coal fire detection and disaster early warning and prevention and control device, characterized in that, The utility model relates to a kind of coal mine safety monitoring system, including: Detection device, the detection device includes temperature sensor (1), gas sensor (2), infrared thermal imager (3) and camera (4); The temperature sensor (1) adopts high-precision thermistor temperature sensor, its measurement accuracy reaches ±0.1 ℃, is connected to data acquisition module (10) by high-temperature resistant cable, and is arranged in the inside, surface and surrounding area of coal pile; The gas sensor (2) is installed in mining area air vent, detects carbon monoxide, carbon dioxide, methane, sulfur dioxide gas concentration simultaneously, and the detection lower limit is ppm level, uses anti-interference gas conduction, is connected with data acquisition module (10) by shielded cable; The infrared thermal imager (3) thermal sensitivity is less than 50mK, resolution is not less than 640x512, is installed in the high place of obtaining mining area panorama, communicates with data acquisition module (10) by digital video interface; The camera (4) resolution is not less than 3840x2160 pixels, frame rate is 60fps and above, horizontal field of view angle is not less than 120 °, illumination 0.01Lux below, is connected to data acquisition module (10) by high-definition video line; Laser scanning device, the laser scanning device is composed of unmanned aerial vehicle (5) and laser scanner (6) installed on unmanned aerial vehicle (5); The unmanned aerial vehicle (5) maximum climb speed 8m / s, maximum descent speed 6m / s, maximum horizontal flight speed 23m / s, wind resistance capacity 12m / s, hover accuracy ±10mm, carries high-precision inertial navigation system and global positioning system; The single-point accuracy of the laser scanner (6) is ±3mm, the scanning speed is not less than 50000 points / s, the ranging range is 0.1-2000m, the laser wavelength is 1550nm, the horizontal scanning angle is 360 °, the vertical scanning angle is not less than 180 °, the angular resolution is 0.01 °, and data transmission is carried out with the control device (9) through the wireless communication module; Satellite remote sensing monitoring device, the satellite remote sensing monitoring device includes satellite remote sensing platform (7) and ground receiving device (8); Satellite remote sensing platform (7) carries multispectral sensor, can obtain different waveband mining area remote sensing image data, and ground receiving device (8) receives satellite data through high-gain directional antenna, and data transmission is carried out to control device (9) through special data transmission line; Data processing and analysis system, the data processing and analysis system includes control device (9), and data acquisition module (10), data cleaning module (11), data fusion module (12), data analysis module (13) and early warning module (14) are arranged in the control device (9); The control device (9) is electrically connected with data acquisition module (10), data cleaning module (11), data fusion module (12), data analysis module (13) and early warning module (14) through internal high-speed bus, and data acquisition module (10) adopts multi-channel parallel acquisition technology, and can simultaneously collect various sensor data; Data cleaning module (11) removes data noise using adaptive filtering algorithm; The data fusion module (12) adopts Kalman filter fusion algorithm to fuse data from different sources; the data analysis module (13) analyzes the fused data based on deep learning algorithm to determine the coal fire risk; The early warning module (14) sends out early warning signals according to the analysis results; The early warning and prevention device comprises an audible and visual alarm (15) and a fire control controller (16). The audible and visual alarm (15) is connected with the control device (9) through a control cable, and is started when the early warning module (14) sends out early warning signals. The fire control controller (16) is connected with a mine fire control system, receives instructions of the control device (9) through a control bus, and starts fire control equipment to perform fire extinguishing operation.

2. The mine panoramic scanning coal fire detection and disaster early warning and prevention and control device according to claim 1, characterized in that: The temperature sensor (1) is arranged in the coal pile by embedding a metal sleeve, is installed on the surface of the coal pile by magnetic attraction, and is fixedly installed by a stand in the peripheral area.

3. The mine panoramic scanning coal fire detection and disaster early warning and prevention and control device according to claim 1, characterized in that: The gas sensor (2) has an automatic calibration function, and automatically performs zero point calibration and span calibration every 24 hours.

4. The mine panoramic scanning coal fire detection and disaster early warning and prevention and control device according to claim 1, characterized in that: The infrared thermal imager (3) has an image real-time enhancement function, and automatically adjusts image contrast and brightness.

5. The mine panoramic scanning coal fire detection and disaster early warning and prevention and control device according to claim 1, characterized in that: The camera (4) adopts a fisheye lens to realize panoramic shooting in a larger range.

6. The mine panoramic scanning coal fire detection and disaster early warning and prevention and control device according to claim 1, characterized in that: The unmanned aerial vehicle (5) adopts a foldable structure, is convenient to carry and transport, and uses a quick charging technology for the battery, so that the charging time is not more than 30 minutes.

7. The mine panoramic scanning coal fire detection and disaster early warning and prevention and control device according to claim 1, characterized in that: The data revisit period of the satellite remote sensing platform (7) is not more than 3 days.

8. The mine panoramic scanning coal fire detection and disaster early warning and prevention and control device according to claim 1, characterized in that: The control device (9) adopts an industrial embedded processor, has a redundant power module, and ensures stable operation of the system in a complex environment.

9. The mine panoramic scanning coal fire detection and disaster early warning and prevention and control device according to claim 1, characterized in that: The audible and visual alarm (15) has multiple alarm modes, and can send alarm sounds with different frequencies and volumes according to different early warning levels.

10. The mine panoramic scanning coal fire detection and disaster early warning and prevention and control device according to claim 1, characterized in that: The fire control controller (16) has a remote control function, and can be remotely operated by the control device (9) through a wireless network.

Images