Gas and temperature monitoring method and system for fire area of mining area

Abstract

The invention relates to the technical field of mine disaster prevention and control, and discloses a mine fire area gas and temperature monitoring method and system, the system comprises an underground monitoring layer, an earth surface monitoring layer and a data processing center, the underground monitoring layer comprises a distributed optical fiber temperature measurement network and a laser gas analysis unit, and the earth surface monitoring layer comprises a maneuvering inspection module. The data processing center comprises a high-performance computer, data analysis software and a database, the underground monitoring layer, the earth surface monitoring layer and the data processing center are integrated, all-around and real-time monitoring of a fire area of a mining area is achieved, the accuracy and timeliness of disaster early warning are greatly improved, and the early warning efficiency is improved. The underground monitoring layer can continuously and accurately measure the underground temperature and the concentration of main disaster gas through a distributed optical fiber temperature measurement network and a laser gas analysis unit, and the problems that a traditional monitoring means is limited in coverage range, prone to damage, lagged in abnormal response and the like are effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of mine disaster prevention and control, and in particular to a method and system for monitoring gas and temperature in a mine fire zone. Background Art

[0002] A mine is an independent production and operation unit that mines ore within a certain mining area. A mine primarily consists of one or more mining workshops (also known as pitheads, mine shafts, open pits, etc.) and some auxiliary workshops. Most mines also include a beneficiation plant (coal washing plant). Mine scale (also known as production capacity) is usually expressed in terms of annual output or daily output. Annual output refers to the amount of ore produced by a mine each year. Based on the size of output, mines are divided into three types: large, medium, and small. The size of a mine must be consistent with its economically reasonable service life. Only in this way can capital construction costs be saved and costs reduced. In the mining production process, mining operations consume the most manpower, material resources, and capital, and are also the production link with the greatest potential for reducing mining costs. The main way to reduce mining costs is to improve labor productivity and product quality and reduce material consumption.

[0003] Traditional mine disaster monitoring generally uses point thermocouples, artificial gas sampling and surface infrared monitoring. Point thermocouples have limited coverage, are easily damaged, and cannot obtain a continuous temperature field; the artificial gas sampling cycle is long (usually >24 hours), resulting in a delayed abnormal response; surface infrared monitoring is greatly affected by atmospheric interference, and the temperature inversion error is >10°C.

[0004] To this end, we propose a method and system for monitoring gas and temperature in fire zones in mining areas. Summary of the Invention

[0005] The present invention mainly aims to solve the technical problems existing in the above-mentioned prior art and provides a method and system for monitoring gas and temperature in a mine fire zone.

[0006] To achieve the above objectives, the present invention employs the following technical solutions: a gas and temperature monitoring system for a mine fire zone, comprising an underground monitoring layer, a surface monitoring layer, and a data processing center. The underground monitoring layer includes a distributed fiber-optic temperature measurement network and a laser gas analysis unit. The distributed fiber-optic temperature measurement network is deployed within a borehole to achieve continuous measurement between 0 and 800°C. The laser gas analysis unit utilizes a gas sampling analyzer using TDLAS technology. The gas sampling tube and optical cable on the gas sampling analyzer are deployed in the same borehole to monitor CO, CH4, and CO2. The surface monitoring layer includes a mobile inspection module. The data processing center is used to integrate underground and surface data and generate three-dimensional disaster cloud maps. The data processing center includes a high-performance computer, data analysis software, and a database.

[0007] Preferably, the distributed optical fiber temperature measurement network uses a metal armored optical cable, the outer wall of which is provided with a spiral gas guide groove to resolve the contradiction between gas diffusion and mechanical protection, and is arranged in the same hole as the gas sampling tube.

[0008] Preferably, when the mobile inspection module is flying at an altitude of 50-100m, the laser absorption spectrum path length is ≥30m.

[0009] Preferably, the mobile inspection module includes a drone, an infrared thermal imager, a laser gas analysis module and a Beidou differential positioning module.

[0010] Preferably, the high performance computer is responsible for processing a large amount of monitoring data.

[0011] Preferably, the data analysis software uses advanced algorithms to analyze monitoring data and identify potential disaster risks.

[0012] Preferably, the database is used to store historical monitoring data and analysis results to facilitate subsequent comparison and analysis.

[0013] A method for monitoring gas and temperature in a mine fire zone, comprising the above-mentioned mine fire zone gas and temperature monitoring system, specifically comprising the following steps:

[0014] Step 1: Collect temperature and concentration data: collect underground temperature and CO, CH4, and CO2 concentrations through optical cables and gas sampling tubes laid in the same hole;

[0015] Step 2: Obtain temperature field and gas distribution data: The UAV cruises to obtain the surface infrared temperature field and gas distribution;

[0016] Step 3: Temperature field correction: Use temperature field reconstruction algorithm to perform geological CT depth correction on the temperature field;

[0017] Step 4: Establish a spatial correlation model: Use the Kriging interpolation algorithm to map the discrete gas data to the three-dimensional fracture network model and establish a spatial correlation model between gas concentration and fracture orientation;

[0018] Step 5: Automatically generate warning files: When CO > 100 ppm and temperature gradient > 10°C / m are detected, the fire risk area is automatically marked and a KML warning file is generated.

[0019] Preferably, the formula of the temperature field reconstruction algorithm in the third step is:

[0020] T real =T obs +k·e βd

[0021] Where k is the thermal conductivity correction coefficient of rock and soil, d is the burial depth, β is the temperature gradient coefficient, T realis the reconstructed temperature field, T obs is the observed temperature field.

[0022] Preferably, the formula of the Kriging interpolation algorithm in the fourth step is:

[0023] Z(x0)=∑i=1nλi·Z(xi)

[0024] Among them, Z(x0) is the value of the point to be estimated, Z(xi) is the value of the known point, and λi is the weight coefficient, which is obtained through the relationship between the semivariogram and the spatial distribution of the known points.

[0025] The present invention provides a method and system for monitoring gas and temperature in a mine fire zone. It has the following beneficial effects:

[0026] 1. This method and system for monitoring gas and temperature in mine fire areas integrates underground monitoring layers, surface monitoring layers, and a data processing center to achieve all-round, real-time monitoring of mine fire areas, greatly improving the accuracy and timeliness of disaster warnings. The underground monitoring layer uses a distributed fiber optic temperature measurement network and a laser gas analysis unit to continuously and accurately measure underground temperature and the concentration of major disaster gases, effectively solving the problems of limited coverage, easy damage, and delayed abnormal response of traditional monitoring methods. The surface monitoring layer uses a mobile patrol module to quickly obtain the surface infrared temperature field and gas distribution without being affected by atmospheric interference, greatly improving monitoring accuracy. The data processing center uses high-performance computers, data analysis software, and databases to fuse underground and surface data to generate a three-dimensional disaster cloud map, providing a scientific basis for disaster warning and emergency response.

[0027] 2. This method and system for monitoring gas and temperature in mine fire zones can simultaneously monitor underground temperature and the concentrations of major hazardous gases (such as CO, CH4, and CO2) by setting up a distributed fiber optic temperature measurement network and a laser gas analysis unit, thereby achieving comprehensive monitoring of mine fire zones. The distributed fiber optic temperature measurement network utilizes the spiral gas guide groove design of the metal armored optical cable, which not only solves the contradiction between gas diffusion and mechanical protection, but also ensures the co-hole layout of the gas sampling tube and the optical cable, thereby improving the accuracy and reliability of monitoring. The laser gas analysis unit adopts TDLAS technology, which can analyze the gas composition with high precision, further enhancing the monitoring capability of the system.

[0028] 3. This method and system for monitoring gas and temperature in mining fire areas, by setting up an infrared thermal imager and a laser gas analysis module, can simultaneously obtain the infrared temperature field and gas distribution information of the surface during the drone inspection process. The infrared thermal imager can accurately invert the surface temperature without being affected by the atmosphere, and the laser gas analysis module can analyze the gas composition in real time, providing more comprehensive data support for disaster warning.

[0029] 4. This method and system for monitoring gas and temperature in fire areas in mining areas uses a Beidou differential positioning module. The application of the Beidou differential positioning module ensures the precise positioning of the drone during the inspection process and improves the accuracy and reliability of the data.

[0030] 5. This method and system for monitoring gas and temperature in fire areas in mining areas can deeply mine and analyze monitoring data and identify potential disaster risks by setting up data analysis software and database. At the same time, the database can store a large amount of historical monitoring data and analysis results, providing strong support for subsequent comparison and analysis, and providing a scientific basis and decision-making support for safe production in mining areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a system module diagram of the present invention;

[0032] Figure 2 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0033] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are merely illustrative, and those skilled in the art can, without inventive effort, derive other implementation drawings based on the provided drawings.

[0034] The structures, proportions, sizes, etc. illustrated in this specification are intended only to complement the contents disclosed herein and to facilitate understanding and reading by persons familiar with the art. They are not intended to limit the conditions under which the present invention may be implemented and therefore have no substantive technical significance. Any structural modifications, changes in proportions, or adjustments in sizes, without affecting the efficacy and objectives of the present invention, shall still fall within the scope of the technical contents disclosed herein.

[0035] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.

[0036] In the description of the embodiments of the present invention, it should be noted that the terms "center," "upper," "lower," "inner," "outer," and "side" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, or the orientations or positional relationships in which the inventive product is typically placed when in use. These terms are intended solely to facilitate the description of the present invention and to simplify the description, and are not intended to indicate or imply that the devices or components referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and the like are used solely to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0037] In the description of the embodiments of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "disposed," "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in the embodiments of the present invention according to specific circumstances.

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0039] Example 1: A gas and temperature monitoring system for a mine fire area, such as Figure 1As shown, the system comprises an underground monitoring layer, a surface monitoring layer, and a data processing center. The underground monitoring layer includes a distributed fiber-optic temperature measurement network and a laser gas analysis unit. The distributed fiber-optic temperature measurement network is deployed within the borehole, enabling continuous measurement from 0 to 800°C. The laser gas analysis unit uses a gas sampling analyzer with TDLAS technology. The gas sampling tube on the gas sampling analyzer is routed through the same borehole as the optical cable, monitoring CO, CH4, and CO2. The distributed fiber-optic temperature measurement network utilizes a metal-armored optical cable with spiral gas guide grooves on its outer wall to resolve the conflict between gas diffusion and mechanical protection. The network is also routed through the same borehole as the gas sampling tube. By integrating the underground monitoring layer, the surface monitoring layer and the data processing center, all-round and real-time monitoring of the mine fire zone is achieved, greatly improving the accuracy and timeliness of disaster warning. The underground monitoring layer can continuously and accurately measure the underground temperature and the concentration of major disaster gases through the distributed fiber optic temperature measurement network and the laser gas analysis unit, effectively solving the problems of limited coverage, easy damage and delayed abnormal response of traditional monitoring methods. The surface monitoring layer uses mobile patrol modules to quickly obtain the surface infrared temperature field and gas distribution without being affected by the atmosphere, greatly improving the monitoring accuracy. The data processing center uses high-performance computers, data analysis software and databases to fuse underground and surface data to generate three-dimensional disaster cloud maps, providing a scientific basis for disaster warning and emergency response.

[0040] Example 2: Based on Example 1, Figure 1 As shown, the surface monitoring layer includes a mobile inspection module, which includes a drone, infrared thermal imager, laser gas analysis module, and Beidou differential positioning module. When the mobile inspection module flies at an altitude of 50-100m, the laser absorption spectrum path length is ≥30m. By setting up a distributed fiber optic temperature measurement network and a laser gas analysis unit, it is possible to simultaneously monitor underground temperature and the concentrations of major hazardous gases (such as CO, CH4, and CO2), achieving comprehensive monitoring of the mine fire zone. The distributed fiber optic temperature measurement network utilizes the spiral gas guide groove design of the metal armored optical cable, which not only resolves the contradiction between gas diffusion and mechanical protection, but also ensures the co-hole layout of the gas sampling tube and optical cable, improving the accuracy and reliability of monitoring. The laser gas analysis unit uses TDLAS technology to analyze gas composition with high precision, further enhancing the system's monitoring capabilities.

[0041] Example 3: Based on Example 1 and Example 2, Figure 1As shown, the data processing center is used to integrate underground and surface data and generate three-dimensional disaster cloud maps. The data processing center includes high-performance computers, data analysis software, and a database. The high-performance computers are responsible for processing large amounts of monitoring data. The data analysis software uses advanced algorithms to analyze monitoring data and identify potential disaster risks. The database is used to store historical monitoring data and analysis results for subsequent comparison and analysis. By setting up an infrared thermal imager and a laser gas analysis module, the infrared temperature field and gas distribution information of the surface can be simultaneously obtained during the drone inspection process. The infrared thermal imager can accurately invert the surface temperature without atmospheric interference, and the laser gas analysis module can analyze gas composition in real time, providing more comprehensive data support for disaster warning.

[0042] Example 4: Based on Example 1, Example 2 and Example 3, Figure 2 As shown, a method for monitoring gas and temperature in a mine fire zone includes the above-mentioned mine fire zone gas and temperature monitoring system, specifically comprising the following steps:

[0043] Step 1: Collect temperature and concentration data: collect underground temperature and CO, CH4, and CO2 concentrations through optical cables and gas sampling tubes laid in the same hole;

[0044] Step 2: Obtain temperature field and gas distribution data: The UAV cruises to obtain the surface infrared temperature field and gas distribution;

[0045] Step 3: Temperature field correction: Use temperature field reconstruction algorithm to perform geological CT depth correction on the temperature field;

[0046] Step 4: Establish a spatial correlation model: Use the Kriging interpolation algorithm to map the discrete gas data to the three-dimensional fracture network model and establish a spatial correlation model between gas concentration and fracture orientation;

[0047] Step 5: Automatically Generate Warning Files: When CO2 levels > 100 ppm and temperature gradients > 10°C / m are detected, the fire risk area is automatically marked and a KML warning file is generated. The BeiDou differential positioning module ensures precise positioning of the drone during inspections, improving data accuracy and reliability.

[0048] Example 5: Based on Example 1, Example 2, Example 3 and Example 4, Figure 2 As shown, the formula of the third step temperature field reconstruction algorithm is:

[0049] T real =T obs +k·e βd

[0050] Where k is the thermal conductivity correction coefficient of rock and soil, d is the burial depth, β is the temperature gradient coefficient, Treal为 The reconstructed temperature field, T obs is the observed temperature field.

[0051] The formula of the Kriging interpolation algorithm in the fourth step is:

[0052] Z(x0)=∑i=1nλi·Z(xi)

[0053] Here, Z(x0) is the value of the point to be estimated, Z(xi) is the value of the known point, and λi is the weight coefficient, which is obtained by using the semivariogram and the spatial distribution relationship between the known points. By setting up data analysis software and a database, it is possible to deeply mine and analyze monitoring data and identify potential disaster risks. At the same time, the database can store a large amount of historical monitoring data and analysis results, providing strong support for subsequent comparison and analysis, and providing a scientific basis and decision-making support for safe production in the mining area.

[0054] Working principle of the present invention:

[0055] A distributed fiber-optic temperature measurement network and laser gas analysis units deployed in the underground monitoring layer monitor underground temperature and gas concentrations in real time, ensuring data accuracy and continuity. The mobile inspection module in the surface monitoring layer uses infrared thermal imagers and laser gas analysis modules to conduct rapid inspections of the surface infrared temperature field and gas distribution, improving monitoring efficiency. The data processing center integrates underground and surface data, and uses high-performance computers and data analysis software, employing advanced algorithms to analyze the monitoring data, promptly identifying potential disaster risks and generating three-dimensional disaster cloud maps, providing intuitive and comprehensive data support for disaster prevention and control. Furthermore, when specific conditions are detected (such as CO concentrations exceeding 100 ppm and temperature gradients greater than 10°C / m), the system automatically marks the fire risk area and generates a KML warning file, enabling relevant personnel to respond quickly and take effective measures, thereby effectively avoiding or mitigating the occurrence and harm of fire disasters in mining areas.

[0056] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A mine fire zone gas and temperature monitoring system, characterized in that: It includes an underground monitoring layer, a surface monitoring layer and a data processing center. The underground monitoring layer includes a distributed optical fiber temperature measurement network and a laser gas analysis unit. The surface monitoring layer includes a mobile inspection module. The data processing center includes high-performance computers, data analysis software and a database.

2. The mine fire zone gas and temperature monitoring system according to claim 1, characterized in that: The distributed optical fiber temperature measurement network adopts metal armored optical cable, the outer wall of which is provided with spiral gas guide grooves to solve the contradiction between gas diffusion and mechanical protection, and is arranged in the same hole as the gas sampling tube.

3. The mine fire zone gas and temperature monitoring system according to claim 1, characterized in that: When the mobile inspection module is flying at a height of 50-100m, the laser absorption spectrum path length is ≥30m.

4. The mine fire zone gas and temperature monitoring system according to claim 1, characterized in that: The mobile inspection module includes a drone, an infrared thermal imager, a laser gas analysis module and a Beidou differential positioning module.

5. The mine fire zone gas and temperature monitoring system according to claim 1, characterized in that: The distributed optical fiber temperature measurement network is arranged in the borehole.

6. The mine fire zone gas and temperature monitoring system according to claim 1, characterized in that: The laser gas analysis unit adopts a gas sampling analyzer using TDLAS technology, and the gas sampling tube on the gas sampling analyzer is laid out in the same hole as the optical cable.

7. A method for monitoring gas and temperature in a mine fire zone, characterized in that: The mine fire zone gas and temperature monitoring system comprising any one of claims 1 to 6, specifically The following steps are involved: Step 1: Collect temperature and concentration data: collect underground temperature and CO, CH4, and CO2 concentrations through optical cables and gas sampling tubes laid in the same hole; Step 2: Obtain temperature field and gas distribution data: The UAV cruises to obtain the surface infrared temperature field and gas distribution; Step 3: Temperature field correction: Use temperature field reconstruction algorithm to perform geological CT depth correction on the temperature field; Step 4: Establish a spatial correlation model: Use the Kriging interpolation algorithm to map the discrete gas data to the three-dimensional fracture network model and establish a spatial correlation model between gas concentration and fracture orientation; Step 5: Automatically generate warning files: When CO > 100 ppm and temperature gradient > 10°C / m are detected, the fire risk area is automatically marked and a KML warning file is generated.

8. The method for monitoring gas and temperature in a mine fire zone according to claim 7, characterized in that: The formula of the third step temperature field reconstruction algorithm is: T real =T obs +k·e βd Where k is the thermal conductivity correction coefficient of rock and soil, d is the burial depth, β is the temperature gradient coefficient, T real is the reconstructed temperature field, T obs is the observed temperature field.

9. The method for monitoring gas and temperature in a mine fire zone according to claim 7, characterized in that: The formula of the Kriging interpolation algorithm in the fourth step is: Z(x0)=∑i=1nλi·Z(xi) Among them, Z(x0) is the value of the point to be estimated, Z(xi) is the value of the known point, and λi is the weight coefficient, which is obtained through the relationship between the semivariogram and the spatial distribution of the known points.

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