Mine underground multi-scene environment information spectrum online monitoring platform and application method

Abstract

The invention discloses a mine underground multi-scene environment information spectrum online monitoring platform and an application method. The platform comprises a platform host, a ground multi-component gas analyzer, a ground portable gas analyzer, underground portable inspection equipment and an underground laser beam tube monitoring system, wherein the ground monitoring equipment and the underground portable inspection equipment are wirelessly connected and send environment monitoring data to the platform host; the underground laser beam tube monitoring system sends underground environment monitoring data to the host through wired connection; and the platform host is used for determining a plurality of pieces of ground and underground environment information from the plurality of received environment monitoring data based on a multispectral fusion technology, carrying out graded early warning on each piece of environment information, and judging a disaster early warning grade through a D-S decision theory based on the plurality of pieces of environment information. The platform can synchronously monitor various kinds of environment information in multiple scenes on the ground and under the well, and the applicability and flexibility of environment information monitoring are improved.

Description

Technical Field

[0001] This application relates to the technical field of on-line spectral monitoring, and particularly to an on-line spectral monitoring platform for multi-scenario environmental information above and below ground in mines and an application method thereof. Background Art

[0002] With the continuous improvement of coal mine safety supervision requirements, monitoring and analyzing gases in the mine working environment has become an important part of coal mine underground safety supervision. Various disasters can be detected in a timely manner based on gas monitoring data, ensuring the safety of coal mine mining operations.

[0003] In related technologies, spectral gas sensors are widely used to monitor information such as the types and concentrations of various gases in the above and below ground environments due to their characteristics such as high sensitivity and high selectivity, providing important data support for the safe production of coal mines.

[0004] However, the spectral gas sensor monitoring technology in related technologies has limitations. That is, a specific spectral gas sensor can usually only be used to monitor a certain type of gas and cannot monitor multiple gases simultaneously, which limits the application range of spectral gas sensors in practical applications. One sensor can only be used in corresponding fixed scenarios. Summary of the Invention

[0005] The purpose of this application is to solve at least one of the above technical problems to a certain extent.

[0006] To this end, the first purpose of this application is to propose an on-line spectral monitoring platform for multi-scenario environmental information above and below ground in mines. This platform can monitor various environmental information in multiple scenarios on the ground and underground, improving the applicability and flexibility of environmental information monitoring, and realizing one-stop automatic processing of environmental information monitoring, processing and analysis, and disaster warning.

[0007] The second purpose of this application is to propose an application method for an on-line spectral monitoring platform for multi-scenario environmental information above and below ground in mines.

[0008] The third purpose of this application is to propose a computer-readable storage medium.

[0009] To achieve the above object, the first aspect embodiment of this application proposes an on-line spectral monitoring platform for multi-scenario environmental information above and below ground in mines. The platform includes: a platform host, a ground multi-component gas analyzer, a ground portable gas analyzer, an underground portable inspection device, and an underground laser beam tube monitoring system; wherein, The ground multi-component gas analyzer, the ground portable gas analyzer, and the underground portable inspection device respectively send environmental monitoring data collected based on spectral detection technology to the platform host through wireless communication means; The downhole laser beam tube monitoring system sends downhole environment monitoring data to the platform host through wired connection; The platform host is used to determine multiple environmental information on the ground and downhole from the received multiple environmental monitoring data based on multi-spectral fusion technology, perform hierarchical early warning on each of the environmental information, and determine the disaster early warning level based on the multiple environmental information through the D-S decision theory.

[0010] In addition, the multi-scenario environmental information spectral online monitoring platform for mines above and below ground in the embodiments of the present application further has the following additional technical features: Optionally, in some embodiments, the ground multi-component gas analyzer includes: a housing, a pretreatment unit, a first gas detection unit, and a core control main board; wherein, the pretreatment unit is used to remove dust and dehumidify the gas entering from the housing; the first gas detection unit integrates multiple spectral gas sensors and is used to detect the concentrations of different components in the gas; the core control main board is used to process and analyze the gas detection data and wirelessly send the processed and analyzed gas detection data to the platform host.

[0011] Optionally, in some embodiments, the ground portable gas analyzer includes: a detection module, a second gas detection unit, a first intelligent control main board, and a first alarm module; wherein, the detection module includes a telescopic probe and a micro air pump, and the detection module is used to transmit the gas in the above-ground target area to the second gas detection unit; the second gas detection unit integrates multiple spectral gas sensors, a temperature sensor, and a pressure sensor, and the second gas detection unit is used to detect the gas concentration, temperature, and pressure in the ground environment; the first intelligent control main board is used to process and analyze various environmental monitoring data and perform power management on the ground portable gas analyzer; the first alarm module includes multiple alarm signal generators, and the first alarm module is used to alarm the user in the case of determining a disaster.

[0012] Optionally, in some embodiments, the downhole portable inspection device includes: a roadway adaptive detection structure, an explosion-proof gas detection module, a second intelligent control main board, and a second alarm module; wherein, the roadway adaptive detection structure includes a telescopic probe rod and a turbo fan type micro air pump, and the roadway adaptive detection structure is used to penetrate the coal seam fissures and transmit the gas in the concealed gas accumulation area to the explosion-proof gas detection module; the explosion-proof gas detection module integrates multiple types of explosion-proof sensors, and the explosion-proof gas detection module is used to detect the gas concentration, temperature, and pressure in the downhole environment.

[0013] To achieve the above object, the second aspect embodiment of the present invention proposes an application method of an online spectral monitoring platform for multi-scenario environmental information above and below ground in mines, which is applied to the online spectral monitoring platform for multi-scenario environmental information above and below ground in mines in the first aspect. The method includes: Initialize the online spectral monitoring platform for multi-scenario environmental information above and below ground in mines, and based on the multi-spectral fusion technology, determine multiple environmental information on the ground and underground from the multiple environmental monitoring data collected in real time by the monitoring platform; Analyze the multiple environmental information through a threshold algorithm, and perform hierarchical early warning on each environmental information; Based on the hierarchical early warning results of each environmental information, judge whether a disaster occurs and the disaster early warning level through the D-S decision theory, and according to the disaster early warning level, alarm the user through a portable device; Generate a variety of emergency rescue information according to the environmental monitoring data in multiple scenarios collected in real time by the monitoring platform during the disaster process. The variety of emergency rescue information includes an evacuation route, a disaster type, and a disaster cause.

[0014] In addition, the application method of the online spectral monitoring platform for multi-scenario environmental information above and below ground in mines in the embodiment of the present application also has the following additional technical features: Optionally, in some embodiments, after generating the variety of emergency rescue information, it further includes: controlling the monitoring platform to perform long-term detection, continuously monitoring the environmental information related to the current disaster; generating an evaluation report and an environmental restoration strategy for the current disaster based on historical disaster data and a disaster change process reconstruction model; matching the relevant monitoring data of the current disaster with a preset emergency plan library, and optimizing the post-disaster safety strategy according to the matching result.

[0015] Optionally, in some embodiments, the multiple environmental information includes the concentrations of multiple explosive gases and multiple toxic gases. The hierarchical early warning of each environmental information includes: respectively comparing the concentration of each gas with the corresponding concentration early warning threshold at each level to determine the concentration early warning level corresponding to each gas; calculating the change rate of the concentration of each gas, and respectively comparing the change rate of the concentration of each gas with the corresponding change rate early warning threshold at each level to determine the change rate early warning level corresponding to each gas.

[0016] Optionally, in some embodiments, generating a variety of emergency rescue information based on the environmental monitoring data collected in real time by the monitoring platform in multiple scenarios during a disaster, including: collecting multiple environmental information around the affected people in real time through a ground portable gas analyzer or an underground portable inspection device; collecting multiple environmental information in different safe areas on the ground and underground in real time through a ground multi-component gas analyzer and an underground laser beam tube monitoring system; generating an optimal disaster avoidance path by combining the multiple environmental information around the affected people, the multiple environmental information in the different safe areas, and the positioning information of the affected people.

[0017] Optionally, in some embodiments, generating a variety of emergency rescue information based on the environmental monitoring data collected in real time by the monitoring platform in multiple scenarios during a disaster further includes: for underground disasters, determining the type of disaster, the cause of the disaster, and the corresponding disaster response strategy by combining the concentrations and change rates of multiple explosive gases and multiple toxic gases underground; for ground disasters, determining the location of the disaster, the cause of the disaster, and the corresponding disaster response strategy based on the concentrations and change rates of multiple explosive gases and multiple toxic gases on the ground.

[0018] To achieve the above object, an embodiment of the third aspect of the present invention proposes a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the application method of the multi-scenario environmental information spectral online monitoring platform for mines above and below ground as described in any one of the embodiments of the second aspect above.

[0019] The technical solutions provided by the embodiments of the present application at least bring the following beneficial effects: This application sets up multiple environmental information monitoring devices on the ground and underground in mines, constructs a multi-level monitoring network, and each environmental information monitoring device integrates various types of spectral gas sensors. Therefore, this application can synchronously monitor multiple environmental information in different scenarios on the ground and underground mines, can quickly adjust the monitoring plan according to the monitoring requirements in different scenarios, enriches the applicable scenarios of the monitoring platform, and improves the efficiency of environmental information monitoring. This application also extracts various required environmental information from the data monitored by the multi-level monitoring network through multi-spectral fusion technology, which can reduce the deviation of information collection. Thus, this application realizes one-stop automatic processing of environmental information monitoring, processing and analysis, and disaster warning, improving the applicability, flexibility, and accuracy of environmental information monitoring. Moreover, the software system supporting the monitoring platform of this application has powerful data analysis and processing capabilities, can perform real-time analysis on the monitoring data, timely discover potential safety hazards, and provide scientific decision-making support. It also improves the accuracy of disaster warning through hierarchical warning. Thus, through the combined application of the monitoring platform, terminal devices, and software system applicable to multiple scenarios of this application, the overall level of coal mine safety production can be effectively improved, ensuring the safety and production efficiency of the staff.

[0020] Additional aspects and advantages of this application will be given in part in the following description, will become apparent in part from the following description, or will be understood through the practice of this application. Brief Description of the Drawings

[0021] The above and / or additional aspects and advantages of this application will become apparent and easy to understand from the following description of the embodiments in conjunction with the drawings, where: Figure 1 is a schematic structural diagram of a multi-scenario environmental information spectral online monitoring platform for mines above and below ground proposed in an embodiment of this application; Figure 2 is a schematic diagram of the software and hardware architecture of a multi-scenario environmental information spectral online monitoring platform for mines above and below ground proposed in an embodiment of this application; Figure 3 is a flowchart of an application method of a multi-scenario environmental information spectral online monitoring platform for mines above and below ground proposed in an embodiment of this application; Figure 4 is a schematic diagram of the process of a specific application of the monitoring platform for disaster warning proposed in an embodiment of this application; Figure 5 is a schematic diagram of the test results of a ground portable gas analyzer proposed in an embodiment of this application; Figure 6 is a schematic diagram of the test results of a ground multi-component gas analyzer proposed in an embodiment of this application; Figure 7Schematic diagram of test results of an underground portable inspection device proposed in an embodiment of the present application; Figure 8 Schematic diagram of test results of an underground laser beam tube monitoring system proposed in an embodiment of the present application; Figure 9 Schematic diagram of the application principle of the D-S decision theory proposed in an embodiment of the present application. Detailed implementation manners

[0022] The embodiments of the present application will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present application and should not be construed as limiting the present application.

[0023] The multi-scenario environmental information spectral online monitoring platform and application method for mines above and below ground in embodiments of the present application will be described below with reference to the accompanying drawings.

[0024] Figure 1 Schematic diagram of the structure of a multi-scenario environmental information spectral online monitoring platform for mines above and below ground proposed in an embodiment of the present application. As Figure 1 shown, the platform includes: platform host 1, ground multi-component gas analyzer 2, ground portable gas analyzer 3, underground portable inspection device 4, and underground laser beam tube monitoring system 5.

[0025] Among them, the ground multi-component gas analyzer 2, the ground portable gas analyzer 3, and the underground portable inspection device 4 respectively collect various environmental monitoring data in different scenarios above and below ground based on spectral detection technology, and then send the corresponding environmental monitoring data to the platform host 1 through wireless communication. The underground laser beam tube monitoring system 5 sends underground environmental monitoring data to the platform host 1 through a wired connection. Among them, various spectral detection technologies for infrared spectra, ultraviolet spectra, and laser spectra can be used to collect environmental data such as gas concentrations.

[0026] Specifically, as Figure 1As shown, a ground multi-component gas analyzer 2 and a ground portable gas analyzer 3 respectively establish wireless connections with the platform host 1, and can send ground environmental monitoring data such as gas concentration signals collected in real time to the platform host 1 through various wireless communication methods. And a tube bundle system underground establishes a wired connection with the platform host 1 and sends underground environmental monitoring data such as gas concentration signals collected in real time to the platform host 1 through wired communication methods. The underground portable inspection device 4 can directly establish a communication connection with the platform host 1 through wireless communication methods, or can first establish a communication connection with the underground laser tube bundle monitoring system 5 through wireless communication methods, and then the underground laser tube bundle monitoring system 5 sends the underground environmental monitoring data collected by the underground portable inspection device 4 to the platform host 1.

[0027] Among them, the ground portable gas analyzer 3 can adopt a laser analyzer, and the ground multi-component gas analyzer 2, the ground portable gas analyzer 3, and the underground portable inspection device 4 can all integrate various types of spectral gas sensors to monitor different gases on the ground and underground.

[0028] As an example, the ground multi-component gas analyzer 2 can be applied to monitor the gas concentration in the mine ventilation system, exhaust ports and surrounding environments, and can detect the concentration of harmful gases such as coal dust, methane and carbon monoxide in real time, ensuring timely detection of gas leakage and alarm, and effectively preventing accidents. The ground portable gas analyzer 3, as a flexible on-site detection tool for inspection personnel and emergency response teams, can quickly evaluate the type and concentration of gas leakage and provide support for quickly responding to emergencies. At the same time, the application of the underground portable inspection device 4 and the underground laser tube bundle monitoring system 5 provides technical support for the safety guarantee in the deep mine. As Figure 1 shown, the tube bundle 6 of the underground laser tube bundle monitoring system 5 is arranged in the intake airway 7, and can monitor environmental parameters such as gas concentration and temperature and humidity in different scenarios such as the underground working face 8, the return airway 9, the boundary between the working face and the goaf 10, and the goaf 11 in real time, helping to early warn of potential dangers. The underground portable inspection device 4 improves the accuracy and efficiency of underground environmental monitoring through intelligent sensors and automated inspection technologies, ensuring that miners can obtain timely safety guarantees in complex underground environments.

[0029] Thus, the present application constructs a multi-level monitoring network through the above-mentioned various monitoring devices, and can monitor various environmental information in different scenarios on the ground and underground. Through the combination of these monitoring devices, the overall monitoring ability of the ground and underground can be improved.

[0030] It should be noted that the quantity and setting methods of the above-mentioned monitoring devices such as the ground portable gas analyzer 3 and the underground portable inspection device 4 can be determined according to the actual needs of the mine, and the present application does not limit this.

[0031] In one embodiment of the present application, a ground multi-component gas analyzer includes: a housing, a pretreatment unit, a first gas detection unit, and a core control main board; wherein, the pretreatment unit is used to remove dust and moisture from the gas entering the housing; the first gas detection unit integrates a variety of spectral gas sensors and is used to detect the concentrations of different components in the gas; the core control main board is used to process and analyze the gas detection data and wirelessly transmit the processed and analyzed gas detection data to the platform host.

[0032] Specifically, the housing of the ground multi-component gas analyzer in this embodiment is provided with an air inlet and an air outlet, which are respectively connected to an inlet pipe and an outlet pipe to form a gas flow channel. The pretreatment unit contains a dust removal and dehumidification device, which removes particulate matter and moisture from the gas through filtration to ensure a stable detection environment. The first gas monitoring unit integrates a variety of gas sensors. For example, it may include, but is not limited to, eight spectral gas sensors such as O2, CH4, CO, CO2, CH4, H2S, SO2, NO2, and NO8. Each sensor is connected in series to sequentially detect the concentrations of different components in the gas. The core control main board includes an integrated signal converter (for converting the electrical signals of various sensors and flow meters and other devices into digital signals), a processor (for data correction and processing), a data storage module (for recording detection data), a data analysis module (for concentration trend analysis), and a communication module (supporting Bluetooth / Wi-Fi data transmission), thereby realizing the full process automation from gas collection, processing to analysis.

[0033] In one embodiment of the present application, a ground portable gas analyzer includes: a detection module, a second gas detection unit, a first intelligent control main board, and a first alarm module. Among them, the detection module includes a retractable probe and a micro air pump, and the detection module is used to transmit the gas in the target area above the well to the second gas detection unit; the second gas detection unit integrates a variety of spectral gas sensors, a temperature sensor, and a pressure sensor, and the second gas detection unit is used to detect the gas concentration, temperature, and pressure in the ground environment; the first intelligent control main board is used to process and analyze various environmental monitoring data and perform power management on the ground portable gas analyzer; the first alarm module includes a variety of alarm signal generators, and the first alarm module is used to alarm the user in the case of determining a disaster.

[0034] Specifically, in this embodiment, the detection module is equipped with a retractable probe and a micro air pump. The retractable probe can penetrate into various target areas that are difficult for workers to reach, such as pipeline gaps and confined spaces on the ground. Then, the micro air pump actively extracts the gas in the target area to the second gas detection unit. Thus, through the detection module, the detection depth of the ground portable gas analyzer can reach 1.5 meters. The second gas detection unit integrates a variety of gas sensors. For example, it can include but is not limited to various spectral gas sensors such as O2, CH4, CO, CO2, C2H4, and C2H2. It also synchronously carries temperature and pressure sensors, enabling all-dimensional monitoring of gas concentration and environmental temperature and pressure. The first intelligent control main board is built-in with a signal processing unit (for integrating sensor data), an adaptive calibration algorithm (for dynamically compensating the influence of temperature and pressure changes on gas detection), and a power management module. Through the power management module, the power supply mode of the ground portable gas analyzer and the power supply amount for each module can be adjusted, thereby supporting a continuous 12-hour battery life. The alarm module is provided with generators for sound, light source, and vibration signals, and can alarm in multiple ways in a dangerous environment.

[0035] In an embodiment of the present application, the underground portable inspection device includes: a roadway adaptive detection structure, an explosion-proof gas detection module, a second intelligent control main board, and a second alarm module. Among them, the roadway adaptive detection structure includes a retractable probe rod and a vane-type micro air pump. The roadway adaptive detection structure is used to penetrate coal seam fissures and transmit the gas in the concealed gas accumulation area to the explosion-proof gas detection module; the explosion-proof gas detection module integrates various types of explosion-proof sensors, and the explosion-proof gas detection module is used to detect the gas concentration, temperature, and pressure in the underground environment.

[0036] Specifically, in this embodiment, the roadway adaptive detection structure includes a telescopic probe rod (for example, the maximum telescopic distance is 2 m) and a vane-type micro air pump (for example, an air extraction pump with adjustable flow rate of 0 - 3 L / min). The differential pressure sensor can also be combined to determine the air extraction power required for the current air extraction task, so as to intelligently adjust the air extraction power of the vane-type micro air pump. The telescopic probe rod can penetrate the coal seam fissures to detect the concealed gas accumulation areas in the coal seam and each rock stratum, and then the vane-type micro air pump is used to extract the gas in the concealed gas accumulation areas to the explosion-proof gas detection module. The explosion-proof gas detection module integrates various spectral gas sensors such as oxygen, explosive gases (such as CH4, C2H2, and H2, etc.), toxic gases (such as CO and H2S, etc.), and greenhouse gases (such as CO2 and C2H4), etc., and also integrates various environmental parameter sensors such as temperature, humidity, and differential pressure. All kinds of sensors adopt explosion-proof sensors to meet the safety requirements of underground monitoring work. The structure and functions realized by the second intelligent control main board and the second alarm module of the underground portable inspection device are the same as those of the first intelligent control main board and the first alarm module of the ground portable gas analyzer in the above embodiment, and will not be elaborated here. Both the underground portable inspection device and the ground portable gas analyzer are equipped with a wireless communication module to realize data interaction with the platform host.

[0037] In an embodiment of the present application, the laser beam tube monitoring system in coal mines mainly consists of a mine intrinsically safe laser beam tube monitoring host, a mine flameproof and intrinsically safe DC regulated power supply, a gas sampling pump for coal mine underground beam tube monitoring, a mine beam tube, and a front-end sampling unit, and can realize the monitoring of various environmental information.

[0038] The platform host 1 is used to determine multiple environmental information on the ground and underground from the received multiple environmental monitoring data based on the multi-spectral fusion technology, perform hierarchical early warning on each environmental information, and determine the disaster early warning level based on the multiple environmental information through the D-S decision theory.

[0039] Specifically, as described above, through the spectral sensors integrated in each monitoring device in the multi-level monitoring network of the present application, various environmental monitoring data in different scenarios on the ground and underground can be collected. The platform host of the present application is also equipped with a software monitoring system. Through the software monitoring system, the multi-spectral fusion algorithm can be called to process and analyze the received multiple environmental monitoring data, and multiple environmental information on the ground and underground can be accurately extracted. Other relevant algorithms can also be called to perform hierarchical early warning on each environmental information and judge the overall disaster early warning level.

[0040] For example, by combining the environmental monitoring data sent by the downhole portable inspection device 4 and the downhole laser beam tube monitoring system 5, the actual concentrations of various explosive gases (such as CH4, C2H2, and H2, etc.) in a certain area can be accurately determined. It is also possible to perform hierarchical early warning on each environmental information. For example, determine the current early warning levels of each explosive gas such as CH4, C2H2, and H2 as low level, medium level, or severe level, etc. Then, based on the early warning levels of each environmental information, determine whether a disaster has occurred currently and the early warning level of the current disaster through the D-S decision theory.

[0041] As a possible implementation, as Figure 2 shown, the software monitoring system carried by the online monitoring platform of the present application has various algorithms such as information collection, data processing, hazard identification, display processing, and auxiliary decision-making to implement the above-related functions.

[0042] In summary, for the multi-scenario environmental information spectral online monitoring platform for mines above and below ground in the embodiments of the present application, multiple environmental information monitoring devices are set on the ground and in the mine shafts, constructing a multi-level monitoring network, and each environmental information monitoring device integrates multiple types of spectral gas sensors. Thus, the platform can synchronously monitor multiple environmental information in different scenarios on the ground and in the mine shafts, can quickly adjust the monitoring plan according to the monitoring requirements in different scenarios, enriches the applicable scenarios of the monitoring platform, and improves the efficiency of environmental information monitoring. The platform also extracts various required environmental information from the data monitored by the multi-level monitoring network through the multi-spectral fusion technology, and can reduce the deviation of information collection. Therefore, the platform improves the applicability, flexibility, and accuracy of environmental information monitoring. Moreover, the software system supporting the monitoring platform has powerful data analysis and processing capabilities, can perform real-time analysis on the monitoring data, timely discover potential safety hazards, and provide scientific decision-making support.

[0043] To more clearly illustrate the specific implementation process of hierarchical early warning and disaster auxiliary decision-making through the multi-scenario environmental information spectral online monitoring platform for mines above and below ground of the present application, the following will be described in detail with an application method of a multi-scenario environmental information spectral online monitoring platform for mines above and below ground proposed in the embodiments of the present application. This method is applied to the multi-scenario environmental information spectral online monitoring platform for mines above and below ground in the above embodiments, that is, the application method of this embodiment is realized by performing relevant controls on the monitoring platform in the above embodiments. Each device in the monitoring platform involved in this method can refer to the above embodiments and will not be elaborated here.

[0044] Figure 3 The flowchart of an application method of a multi-scenario environmental information spectral online monitoring platform for mines above and below ground proposed in the embodiments of the present application, as Figure 3 shown, this method includes the following steps: Step S101: Initialize the online spectral monitoring platform for multi-scenario environmental information in the mine shaft, and determine multiple environmental information on the ground and underground from a variety of environmental monitoring data collected in real time by the monitoring platform based on multi-spectral fusion technology.

[0045] Specifically, each device in the online monitoring platform for multi-scenario environmental information spectrum of the mine shaft is started and initialized. In order to more clearly describe the specific execution process of the application method of the present application in actual application, the following is an exemplary description of a specific disaster classification warning process proposed in an embodiment of the present application. Figure 4 As shown, the equipment of the monitoring platform is initialized, including starting the host of the one-stop mine shaft multi-scene environmental information spectral online monitoring platform, the ground multi-component gas analyzer, the laser portable gas analysis carried by the personnel above the shaft, the portable coal mine inspection equipment carried by the underground personnel team, and the coal mine underground laser beam tube monitoring system.

[0046] It should be noted that before initializing the equipment, it is necessary to set up the relevant monitoring equipment, such as laying the bundled tube monitoring pipeline and arranging the sampling points. In addition, in order to ensure the accuracy of environmental information monitoring, in one embodiment of the present application, each monitoring device can also be inspected and tested before on-site monitoring is performed by each monitoring device. The inspection and testing process of each monitoring device is described below.

[0047] As the first example, for a ground portable gas analyzer. The first step is to check the system status of the portable gas analyzer, the outer shell, and the screen for damage, and preheat the machine for 3 minutes. The second step is to place the laser portable gas analyzer in the test environment, click the vacuum pump start button on the screen, start the micro vacuum pump, and the gas passes through the dust removal device to filter out the dust in the environment. Then, the gas passes through the oxygen sensor, methane sensor, carbon monoxide sensor, and carbon dioxide sensor in turn to monitor the gas concentration. The signal converter converts the electrical signal of the gas concentration data of each sensor into a digital signal. The processor processes the digital signal to form data and sends it to the display screen for display and touch operation. The third step is to click on the gas concentration curve on the screen to zoom in. For example, the result of a 5% methane test on a ground portable gas analyzer is as follows: Figure 5 shown.

[0048] As a second example, for a ground multi-component gas analyzer. First step, check the equipment status. Power on and preheat for 30 minutes to ensure that the temperature and pressure parameters of the sensor absorption cell remain basically unchanged. Second step, move the ground multi-component gas analyzer to the test site, start the equipment vacuum pump, so that the industrial environmental gas passes through the dust removal and dehumidification device to filter out dust or moisture in the environment, and then flows through the methane (CH4) sensor, carbon monoxide (CO) sensor, carbon dioxide (CO2) sensor, hydrogen sulfide (H2S) sensor, sulfur dioxide (SO2) sensor, nitrogen dioxide (NO2) sensor and ammonia (NH3) sensor in sequence to monitor the gas concentration, and output the specific temperature value, pressure value, concentration value and the dynamic change curve of the concentration over time on the mine explosion-proof display screen. Third step, remotely control through the industrial control computer with the Wi-Fi module in the ground multi-component gas analyzer to realize offline data storage and online data transmission. Fourth step, perform arithmetic processing on the collected air temperature, ambient pressure and gas concentration data to obtain the danger level when a fire occurs in the industrial environment. For example, the results of the CO and O2 tests on the ground multi-component gas analyzer are as Figure 6 shown.

[0049] As a third example, for an underground portable inspection device. First step, check the system status and the shell of the portable inspection device to ensure that the screen is not damaged and power on and preheat for 3 minutes. Second step, place the underground portable inspection device in the environment to be tested, click the vacuum pump start button on the screen to start the micro vacuum pump, the gas passes through the dust removal device to filter out dust in the environment, and then passes through the equipped gas sensors in sequence to monitor the gas concentration. The signal converter converts the electrical signal of the gas concentration data of each sensor into a digital signal, and the processor processes the digital signal to form data and sends it to the display screen for display and touch operation. Third step, click on the gas concentration curve on the screen for zooming in. For example, the results of the constant gas test on the underground portable inspection device are as Figure 7 shown.

[0050] As a fourth example, for an underground laser beam tube monitoring system. First step, check whether the components of the laser beam tube monitoring system, including the laser transmitter, photodetector, control host, and connecting cables, are in good condition, confirm that the device power supply is properly connected, and the device status indicator is in the normal standby state. Second step, fixedly install the laser beam tube monitoring system on both sides of the roadway to be monitored in the coal mine, adjust the emission direction of the laser beam tube to align with the receiving end, and ensure that the laser beam can stably pass through the monitoring area. Start the system, turn on the laser transmitter through the control host, the laser beam passes through the target monitoring space, and the photodetector receives the beam signal and monitors the light intensity change in real time. Third step, the system collects and analyzes data such as light intensity attenuation and displacement change that may be caused by smoke, dust, personnel, or equipment occlusion during the process of the laser beam passing through the roadway. The processor analyzes and processes these change signals to generate image-based monitoring data. Fourth step, the monitoring data is transmitted to the display terminal in real time and automatically recorded in the background database. Users can perform touch operations such as curve magnification, historical data query, and alarm record viewing through the display screen to achieve dynamic monitoring of the safety status of the underground space in the coal mine. For example, the results of CO and O2 tests on the underground laser beam tube monitoring system are as Figure 8 shown.

[0051] Furthermore, real-time monitoring of pre-disaster environmental information is carried out through the initialized monitoring platform. As described in the above embodiments, the present application constructs a multi-level monitoring network. For the spectral sensors in different monitoring devices in the same scenario, inconsistent data may be monitored. Therefore, the present application synchronously collects accurate environmental information based on multi-spectral fusion technology. For example, the concentration data of CH4, CO, NO2, and dust in the underground and above-ground environments, etc.

[0052] As a possible implementation method, when accurately identifying environmental information based on multi-spectral fusion technology, the monitoring data collected by each monitoring device using different spectral technologies is first fused. For example, for the measurement of multiple gas concentrations using tunable diode laser absorption spectroscopy (TDLAS) technology and differential optical absorption spectroscopy (DOAS) technology simultaneously, the measurement accuracy is improved through data fusion. Then, signal demodulation and normalization are performed. The collected signal is demodulated to extract the harmonic signal and normalized. Then, gas concentration inversion calculation is performed. This inversion calculation process may include the following three steps: First step, perform theoretical absorption spectrum calculation, and calculate the theoretical absorption spectrum of the target gas at different temperatures, concentrations, pressures, and optical paths using a high-resolution spectral database (such as HITRAN). Second step, perform experimental absorption spectrum fitting, perform least squares fitting of the experimental absorption spectrum and the theoretical absorption spectrum, and invert the concentration of the target gas. Third step, perform multi-gas concentration calculation. For the mixture of multiple gases, select multiple characteristic absorption spectral lines, and calculate the concentration of each gas through matrix operation and least squares fitting.

[0053] Thus, for various environmental monitoring data collected by different detection devices, through multispectral fusion operation, the present application can combine the advantages of multiple spectral technologies to improve the accuracy and reliability of environmental information monitoring.

[0054] Step S102: Analyze multiple environmental information through a threshold algorithm to perform hierarchical early warning on each environmental information.

[0055] Specifically, the platform host runs an adaptive threshold algorithm to analyze each piece of environmental information collected in real time. For example, by analyzing the change trend of gas concentration, early warning can be carried out in a timely manner in the early stage of a disaster. For example, when the detected value of the concentration of a certain gas exceeds the preset safety threshold, an audible and visual alarm is automatically triggered, a risk positioning map is generated, and the early warning information is synchronously pushed to the mine safety management system and the personnel terminal devices, that is, the above-mentioned ground portable gas analyzer and underground portable inspection equipment, so as to achieve early disaster prevention and control. Among them, when the present application conducts disaster early warning, hierarchical early warning can be performed on each environmental information to improve the accuracy of early warning.

[0056] In an embodiment of the present application, the multiple environmental information includes the concentrations of various explosive gases and various toxic gases, as well as the temperature and pressure in the underground and above-ground environments, etc. Performing hierarchical early warning on each of the environmental information includes: respectively comparing the concentration of each gas with the corresponding warning thresholds at each level to determine the concentration warning level corresponding to each gas; calculating the change rate of the concentration of each gas, and respectively comparing the change rate of the concentration of each gas with the corresponding warning thresholds at each level of change rate to determine the change rate warning level corresponding to each gas.

[0057] Specifically, when performing hierarchical early warning in this embodiment, calculations can be carried out from two aspects: the actual value of the gas concentration and the change rate of the gas concentration, and for environmental parameters, the values are directly compared. The following will be described in detail with several examples.

[0058] As the first example, monitor the concentrations of various ground explosive gases, compare the concentration value of each gas with the corresponding warning thresholds at each level, and determine the concentration warning level according to the comparison results. That is, if the concentration value of a certain explosive gas is greater than the corresponding warning threshold at a certain level, the gas reaches the corresponding warning level. Among them, the hierarchical warning thresholds for the ground explosive gas concentration values are shown in Table 1 below:

[0059] As a second example, the concentrations of various ground toxic gases are monitored, and the concentration value of each gas is compared with the corresponding warning thresholds at each level. According to the comparison results, the concentration warning level is determined. That is, if the concentration value of a certain toxic gas is greater than the corresponding warning threshold at a certain level, then the gas reaches the corresponding warning level. Among them, the hierarchical warning thresholds for the concentration values of ground toxic gases are shown in Table 2 below:

[0060] Among them, ppm (Parts Per Million) is a unit of concentration, representing parts per million.

[0061] As a third example, various ground environmental parameters are monitored, and the numerical value of each ground environmental parameter is compared with the corresponding warning thresholds at each level. According to the comparison results, the concentration warning level is determined. That is, if the numerical value of a certain ground environmental parameter is greater than the corresponding warning threshold at a certain level, then the environmental parameter reaches the corresponding warning level. Among them, the environmental parameters can be pressure, temperature, humidity, etc., and the hierarchical warning thresholds for ground environmental parameters are shown in Table 3 below:

[0062] As a fourth example, the concentrations of various underground constant dangerous gases (i.e., explosive gases) are monitored, and the concentration value of each gas is compared with the corresponding warning thresholds at each level. According to the comparison results, the concentration warning level is determined. That is, if the concentration value of a certain explosive gas is greater than the corresponding warning threshold at a certain level, then the gas reaches the corresponding warning level. Among them, the hierarchical warning thresholds for the concentration values of underground explosive gases are shown in Table 4 below:

[0063] As a fifth example, the concentrations of various underground trace dangerous gases (i.e., toxic gases) are monitored, and the concentration value of each gas is compared with the corresponding warning thresholds at each level. According to the comparison results, the concentration warning level is determined. That is, if the concentration value of a certain toxic gas is greater than the corresponding warning threshold at a certain level, then the gas reaches the corresponding warning level. Among them, the hierarchical warning thresholds for the concentration values of underground toxic gases are shown in Table 5 below:

[0064] As a sixth example, the concentrations of various underground environmental parameters are monitored, and the numerical value of each underground environmental parameter is compared with the corresponding warning thresholds at each level. According to the comparison results, the concentration warning level is determined. That is, if the numerical value of a certain underground environmental parameter is greater than the corresponding warning threshold at a certain level, then the environmental parameter reaches the corresponding warning level. Among them, the hierarchical warning thresholds for underground environmental parameters are shown in Table 6 below:

[0065] As a seventh example, monitor the rising rate of the concentration of various ground explosive gases, compare the rising rate of each gas concentration with the corresponding early warning thresholds at each level, and determine the early warning level of the change rate according to the comparison results. That is, if the rising rate of the concentration of a certain ground explosive gas is greater than the corresponding early warning threshold at a certain level, then the gas reaches the corresponding early warning level of the change rate. Among them, the hierarchical early warning thresholds for the rising rate of the concentration of ground explosive gases are shown in Table 7 below:

[0066] As an eighth example, monitor the rising rate of the concentration of various ground toxic gases, compare the rising rate of each gas concentration with the corresponding early warning thresholds at each level, and determine the early warning level of the change rate according to the comparison results. That is, if the rising rate of the concentration of a certain ground toxic gas is greater than the corresponding early warning threshold at a certain level, then the gas reaches the corresponding early warning level of the change rate. Among them, the hierarchical early warning thresholds for the rising rate of the concentration of ground toxic gases are shown in Table 8 below:

[0067] As a ninth example, monitor the rising rate of the concentration of various underground explosive gases, compare the rising rate of each gas concentration with the corresponding early warning thresholds at each level, and determine the early warning level of the change rate according to the comparison results. That is, if the rising rate of the concentration of a certain underground explosive gas is greater than the corresponding early warning threshold at a certain level, then the gas reaches the corresponding early warning level of the change rate. Among them, the hierarchical early warning thresholds for the rising rate of the concentration of underground explosive gases are shown in Table 9 below:

[0068] As a tenth example, monitor the rising rate of the concentration of various underground toxic gases, compare the rising rate of each gas concentration with the corresponding early warning thresholds at each level, and determine the early warning level of the change rate according to the comparison results. That is, if the rising rate of the concentration of a certain underground toxic gas is greater than the corresponding early warning threshold at a certain level, then the gas reaches the corresponding early warning level of the change rate. Among them, the hierarchical early warning thresholds for the rising rate of the concentration of underground toxic gases are shown in Table 10 below:

[0069] Thus, the present application can perform hierarchical early warning on each of the above environmental parameters by means of threshold comparison of gas concentration and concentration rising rate, etc.

[0070] Step S103: Based on the hierarchical early warning results of each environmental information, judge whether a disaster occurs and the disaster early warning level through the D-S decision theory, and alarm the user through a portable device according to the disaster early warning level.

[0071] Specifically, the grading warning results of each environmental information obtained in step S102 are used as data for judgment and decision-making. Through the D-S decision theory, it is comprehensively judged whether a disaster occurs currently. If a disaster occurs, the warning level of the current disaster is further judged.

[0072] Among them, the Dempster-Shafer (abbreviated as D-S) evidence theory is a theory for dealing with uncertain information. This application applies it to fields such as multi-source monitoring information fusion, disaster judgment decision analysis, and disaster warning level judgment. Through the D-S theory, this application can synthesize the evidence of multiple information sources and comprehensively judge the disaster warning level. Among them, various disasters such as fires can be judged and warned.

[0073] As a possible implementation method, comprehensively judging whether a disaster occurs currently and the disaster warning level through the D-S decision theory may include the following steps: First, determine the warning level framework. For example, the warning level is divided into low risk, medium risk, high risk, etc., constituting a mutually exclusive and complete warning level framework. Second, use the grading warning results of each obtained environmental information as the collected evidence, and regard each grading warning result as an information source. Third, define the basic probability assignment for each grading warning result to generate a probability assignment set BPA. Fourth, perform evidence synthesis. The Dempster synthesis rule or other synthesis rules can be used to fuse the evidence of multiple information sources. Fifth, calculate the belief function and the plausibility function according to the fusion result. Sixth, comprehensively judge the warning level according to the results of the belief function and the plausibility function. For example, the maximum value of the belief function or the plausibility function can be selected to determine the warning level, or a threshold can be combined for judgment. Thus, through the above steps, if it is determined according to the current grading warning result that the warning level reaches or exceeds the low risk level, it is determined that a disaster occurs, and at the same time, the disaster warning level is also determined.

[0074] Specifically, during implementation, it can be carried out in the Figure 9 shown manner, by calling the knowledge base and various system devices and data above and below the well to complete the above decision-making process.

[0075] Therefore, by comprehensively judging the warning level through the D-S decision theory, this application can be applied to the situation of processing multi-source data with various grading warning results, and can effectively improve the accuracy and reliability of decision-making.

[0076] Furthermore, according to the disaster warning level, an alarm is sent to the user through a portable device, that is, an alarm is sent to the ground staff through a ground portable gas analyzer, and an alarm is sent to the underground staff through an underground portable inspection device.

[0077] As a possible implementation, the alarm classification can be determined according to the warning level determined in the above example, and then the portable device can be controlled according to the alarm classification to use the corresponding alarm method to alarm the personnel. For example, for a first-level alarm, control the warning light to flash to prompt the user to increase attention. For a second-level alarm, control the warning light to flash and the host to vibrate to prompt the user to evacuate the scene. For a third-level alarm, control the warning light to flash, the host to vibrate, the buzzer to alarm, and the wireless transmission device to alarm the host to prompt the user to quickly evacuate the scene and the off-site personnel to quickly rescue.

[0078] Step S104: Generate a variety of emergency rescue information based on the environmental monitoring data in multiple scenarios collected in real time by the monitoring platform during the disaster, where the variety of emergency rescue information includes an evacuation route, a disaster type, and a cause of the disaster.

[0079] Specifically, when it is determined that a disaster has occurred, control the monitoring platform to continuously collect environmental information, and generate emergency rescue information during the disaster based on the above-determined information and real-time environmental information to support the rescue personnel in carrying out the rescue.

[0080] In an embodiment of the present application, a variety of emergency rescue information is generated based on the environmental monitoring data in multiple scenarios collected in real time by the monitoring platform during the disaster, including: real-time collecting multiple environmental information around the affected personnel through a ground portable gas analyzer or an underground portable inspection device; real-time collecting multiple environmental information in different safe areas on the ground and underground through a ground multi-component gas analyzer and an underground laser beam tube monitoring system; combining multiple environmental information around the affected personnel, multiple environmental information in different safe areas, and the positioning information of the affected personnel to generate an optimal evacuation route.

[0081] Specifically, in this embodiment, when it is determined that a disaster has occurred, the ground portable gas analyzer and the underground portable inspection device are switched to the emergency monitoring mode, and the ground portable gas analyzer and the underground portable inspection device collect environmental information such as the temperature and gas concentration data around the personnel in real time. And through the anti-interference communication module carried, the real-time monitored data is transmitted to the rescue command center. At the same time, the ground multi-component gas analyzer and the underground laser beam tube monitoring system can work normally, and continuously collect environmental information such as gas parameters and environmental temperature and humidity in other surviving areas that are not affected by the current disaster in the disaster environment to determine each safe area on the underground and the ground. Then, through the positioning system carried in the ground portable gas analyzer and the underground portable inspection device, the positioning information of the affected personnel is determined.

[0082] Furthermore, by integrating multiple environmental information around the affected personnel, multiple environmental information in different safe areas, and the positioning information of the affected personnel, the platform host or the back-end device of the rescue command center generates an optimal disaster avoidance path. Among them, the destination of the optimal disaster avoidance path is a safe area. The optimal disaster avoidance path is the escape path with the shortest distance between the current position of the affected personnel and the nearest safe area, and the environmental information of the safe area corresponding to the optimal disaster avoidance path can meet the safety requirements of the affected personnel. Moreover, the optimal disaster avoidance path can also be displayed to the affected personnel through the human-computer interaction devices carried by the ground portable gas analyzer and the underground portable inspection equipment, and the underground broadcast system is linked to issue escape guidance.

[0083] Thus, by generating and sending the optimal disaster avoidance path to the user, the rescue efficiency of the affected personnel can be improved, and the safety of the affected personnel can be ensured.

[0084] In an embodiment of the present application, according to the environmental monitoring data collected by the monitoring platform in real time in multiple scenarios during the disaster process, multiple emergency rescue information is generated, and further includes: for underground disasters, combining the concentrations and change rates of multiple explosive gases and multiple toxic gases underground to determine the disaster type, the cause of the disaster, and corresponding disaster response strategies; for ground disasters, according to the concentrations and change rates of multiple explosive gases and multiple toxic gases on the ground, determine the location of the disaster, the cause of the disaster, and corresponding disaster response strategies.

[0085] Specifically, in this embodiment, based on the environmental information such as gas concentration continuously monitored in the early stage and subsequent stage of the disaster, information such as the cause of the accident and the specific accident type is inferred, so as to be able to adopt targeted rescue strategies. Among them, taking a fire as an example, for an underground fire, the following Table 11 can be combined to infer emergency rescue information such as the fire type and the cause of the fire:

[0086] For a ground fire, the following Table 12 can be combined to infer emergency rescue information such as the location of the fire, the cause of the fire, and corresponding disaster response strategies:

[0087] It can be understood that, as shown in Table 12, the ground fire type is caused by specific equipment or occurs in a specific place, so the location of the fire can be inferred according to the fire type.

[0088] Thus, emergency rescue information such as possible causes of fire and emergency countermeasures can be sent to the platform host, so as to send emergency rescue information to the affected personnel. On the other hand, rescue personnel can also take targeted actions according to the emergency rescue information.

[0089] Based on the above embodiments, on the basis of carrying out rescue operations in a timely manner according to the emergency rescue information, post-disaster continuous monitoring and safety assessment can also be carried out. In an embodiment of the present application, after generating various emergency rescue information, it further includes: controlling the monitoring platform to conduct long-term detection, continuously monitoring the environmental information related to the current disaster; generating an assessment report and an environmental restoration strategy for the current disaster based on historical disaster data and a disaster evolution process reconstruction model; matching the relevant monitoring data of the current disaster with a preset emergency plan library, and optimizing the post-disaster safety strategy according to the matching result.

[0090] Specifically, in this embodiment, within a preset time period after the disaster, such as within 72 hours, the monitoring platform is controlled to start a long-term monitoring mechanism, and through a ground multi-component gas analyzer and an underground laser beam tube monitoring system, information such as the concentration of residual gas is continuously tracked to judge the risk of secondary disasters (such as re-ignition and secondary gas accumulation, etc.). The platform host generates information such as an accident cause analysis report, an assessment report on the impact caused by the current disaster, and environmental restoration suggestions based on historical disaster data and a disaster evolution process reconstruction model constructed according to the relevant monitoring data of the current disaster. The relevant monitoring data of the current disaster is also matched with the existing emergency plan library through the cloud platform to determine the post-disaster remedial strategy for the current disaster, so as to dynamically optimize the subsequent safety strategy and form a closed-loop management.

[0091] In summary, the application method of the mine surface and underground multi-scenario environmental information spectral online monitoring platform implemented in the present application can perform real-time analysis on the monitoring data, timely discover potential safety hazards, and provide scientific decision-making support. The accuracy of disaster warning is improved through hierarchical warning. Thus, the overall level of coal mine safety production can be effectively improved, ensuring the safety and production efficiency of the staff.

[0092] To implement the above embodiments, the present application also proposes a computer-readable storage medium storing a computer program, which when executed by a processor implements the application method of the mine surface and underground multi-scenario environmental information spectral online monitoring platform as proposed in the second aspect embodiment of the present application.

[0093] It should be noted that it should be understood that each part of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following well-known technologies in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0094] In addition, in the description of the present application, the orientation or positional relationship indicated by terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation on the present invention.

[0095] In addition, the terms "first" and "second" are only used for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of the present invention, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0096] In the present invention, unless otherwise clearly specified and defined, terms such as "install", "connect", "couple", "fix", etc. should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements or the interaction relationship between two elements, unless otherwise clearly defined. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0097] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0098] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as a limitation on the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. An online spectral monitoring platform for multi-scenario environmental information above and below the mine shaft, characterized in that, Including: A platform host, a ground multi-component gas analyzer, a ground portable gas analyzer, an underground portable inspection device, and an underground laser beam tube monitoring system; among them, The ground multi-component gas analyzer, the ground portable gas analyzer, and the underground portable inspection device respectively send environmental monitoring data collected based on spectral detection technology to the platform host through wireless communication; The underground laser beam tube monitoring system sends underground environmental monitoring data to the platform host through a wired connection; The platform host is used to determine multiple environmental information on the ground and underground from the received multiple environmental monitoring data based on multi-spectral fusion technology, perform hierarchical early warning on each environmental information, and determine the disaster early warning level based on the multiple environmental information through the D-S decision theory.

2. The platform according to claim 1, wherein The ground multi-component gas analyzer includes: a housing, a pretreatment unit, a first gas detection unit, and a core control main board; among them, The pretreatment unit is used to remove dust and dehumidify the gas entering from the housing; The first gas detection unit integrates a variety of spectral gas sensors and is used to detect the concentration of different components in the gas; The core control main board is used to process and analyze the gas detection data and wirelessly send the processed and analyzed gas detection data to the platform host.

3. The platform according to claim 1, characterized in that, The ground portable gas analyzer includes: a detection module, a second gas detection unit, a first intelligent control main board, and a first alarm module; among them, The detection module includes a telescopic probe and a micro air pump, and the detection module is used to transmit the gas in the target area above the well to the second gas detection unit; The second gas detection unit integrates a variety of spectral gas sensors, a temperature sensor, and a pressure sensor, and the second gas detection unit is used to detect the gas concentration, temperature, and pressure in the ground environment; The first intelligent control main board is used to process and analyze various environmental monitoring data and perform power management on the ground portable gas analyzer; The first alarm module includes a variety of alarm signal generators, and the first alarm module is used to alarm the user in the case of determining a disaster.

4. The platform according to claim 1, characterized in that, The underground portable inspection device includes: a roadway adaptive detection structure, an explosion-proof gas detection module, a second intelligent control main board, and a second alarm module; among them, The roadway adaptive detection structure includes a telescopic probe rod and a turbo fan type micro air pump, and the roadway adaptive detection structure is used to penetrate the coal seam fissure and transmit the gas in the concealed gas accumulation area to the explosion-proof gas detection module; The explosion-proof gas detection module integrates a variety of types of explosion-proof sensors, and the explosion-proof gas detection module is used to detect the gas concentration, temperature, and pressure in the underground environment.

5. An application method of an online spectral monitoring platform for multi-scenario environmental information above and below ground in mines, characterized in that, Applied to the multi-scenario environmental information spectral online monitoring platform for mines above and below ground as described in any one of claims 1-4, the method includes the following steps: Initialize the multi-scenario environmental information spectral online monitoring platform for mines above and below ground, and determine multiple environmental information on the ground and underground from the multiple environmental monitoring data collected in real time by the monitoring platform based on multi-spectral fusion technology; Analyze the multiple environmental information through a threshold algorithm to conduct hierarchical early warning for each piece of the environmental information; Based on the hierarchical early warning results of each piece of the environmental information, judge whether a disaster occurs and the disaster early warning level through the D-S decision theory, and according to the disaster early warning level, alarm the user through a portable device; Generate a variety of emergency rescue information according to the environmental monitoring data in multiple scenarios collected in real time by the monitoring platform during the disaster process, and the variety of emergency rescue information includes an evacuation route, a disaster type, and a disaster cause; 6. The method according to claim 5, wherein After generating the variety of emergency rescue information, it further includes: Control the monitoring platform to conduct long-term detection and continuously monitor the environmental information related to the current disaster; Generate an assessment report and an environmental restoration strategy for the current disaster based on historical disaster data and a disaster process reconstruction model; Match the relevant monitoring data of the current disaster with a preset emergency plan library and optimize the post-disaster safety strategy according to the matching result; 7. The method according to claim 5, wherein The multiple environmental information includes the concentrations of multiple explosive gases and multiple toxic gases, and the conduct of hierarchical early warning for each piece of the environmental information includes: Respectively compare the concentration of each gas with the corresponding concentration early warning thresholds at each level to determine the concentration early warning level corresponding to each gas; Calculate the change rate of the concentration of each gas, respectively compare the change rate of the concentration of each gas with the corresponding change rate early warning thresholds at each level to determine the change rate early warning level corresponding to each gas; 8. The method according to claim 5, characterized in that, The generation of a variety of emergency rescue information according to the environmental monitoring data in multiple scenarios collected in real time by the monitoring platform during the disaster process includes: Real-time collect multiple environmental information around the affected personnel through a ground portable gas analyzer or an underground portable inspection device; Real-time collect multiple environmental information in different safe areas on the ground and underground through a ground multi-component gas analyzer and an underground laser beam tube monitoring system; Combine the multiple environmental information around the affected personnel, the multiple environmental information in the different safe areas, and the positioning information of the affected personnel to generate an optimal evacuation route; 9. The method according to claim 7, characterized in that, The generation of a variety of emergency rescue information according to the environmental monitoring data in multiple scenarios collected in real time by the monitoring platform during the disaster process further includes: For underground disasters, combine the concentrations and change rates of multiple explosive gases and multiple toxic gases underground to determine the disaster type, the disaster cause, and the corresponding disaster response strategy; For ground disasters, determine the disaster occurrence location, the disaster cause, and the corresponding disaster response strategy according to the concentrations and change rates of multiple explosive gases and multiple toxic gases on the ground; 10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it realizes the application method of the multi-scenario environmental information spectral online monitoring platform for mines above and below ground as described in any one of claims 5-9.

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