Fire monitoring system for high-altitude steeply inclined coal mine

Abstract

The invention discloses a high-altitude steeply inclined coal mine fire monitoring system, and the system comprises a processing module which is connected with a transmission node, and the processing module is used for correspondingly receiving sensing data generated by a sensor module according to the transmission node, and accumulating the sensing data (I) according to a set period; monitoring an accumulation behavior on the sensing data, and identifying whether accumulation interruption exists in the sensing data (II); analyzing the accumulated sensing data, at least obtaining temperature accumulation data and oxygen content accumulation data from the sensing data, and comparing the temperature accumulation data and the oxygen content accumulation data with set reference data to obtain a plurality of groups of comparison results (III); the analysis module is connected with the processing module and used for analyzing the probability of spontaneous combustion according to the obtained comparison results; and the early warning module is connected with the analysis module and is used for carrying out early warning according to the obtained probability of spontaneous combustion.

Description

Technical Field

[0001] The invention relates to the technical field of coal spontaneous combustion monitoring, and in particular to a high-altitude steep-inclined coal mine fire monitoring system. Background Art

[0002] A steeply inclined coal seam refers to a coal seam with an inclination greater than 45° during underground mining. Due to the large inclination of the coal seam, if the coal seam is thick, the layered mining method is generally adopted. The horizontal goaf formed by layered mining is prone to spontaneous combustion of coal, and causes a large amount of thick smoke and intermittent gas explosions, which leads to the closure of the entire mine. In addition, at high altitudes, various fire emergency treatments are very difficult. Therefore, it is necessary to monitor and manage the steeply inclined goaf to prevent the occurrence of the above problems. Summary of the invention

[0003] In view of this, an object of the present invention is to provide a high-altitude steeply inclined coal mine fire monitoring system.

[0004] The main purpose of this application is to provide a high-altitude steep-inclined coal mine fire monitoring system, including:

[0005] The sensor modules and corresponding transmission nodes set at the air leakage areas obtained by the collapse simulation serve as the core of the fire monitoring system, wherein the fire monitoring system includes:

[0006] A processing module is connected to the transmission node, and the processing module is used to:

[0007] Receiving sensor data generated by the sensor module corresponding to the transmission node, and accumulating the sensor data according to a set period (I);

[0008] Monitoring the accumulation behavior of the sensor data and identifying whether there is an accumulation interruption of the sensor data (II);

[0009] Analyzing the accumulated sensor data, obtaining at least temperature accumulated data and oxygen content accumulated data from the sensor data, and comparing the temperature accumulated data and oxygen content accumulated data with set reference data to obtain a plurality of groups of comparison results (III);

[0010] An analysis module, connected to the processing module, for analyzing the probability of spontaneous combustion according to the obtained comparison results;

[0011] The early warning module is connected to the analysis module and is used to issue an early warning according to the obtained probability of spontaneous combustion.

[0012] Furthermore, the transmission node has:

[0013] A plurality of transmission units, wherein the transmission units are connected to corresponding sensors via a logic table, and each transmission unit has a transmission channel for limiting the transmission of a data signal generated by the control sensor;

[0014] An identification unit is connected to a plurality of the transmission units, wherein the identification unit has a limiting pointer, wherein the limiting pointer is associated with a layout parameter set for a transmission channel, and the limiting pointer is used to identify a data parameter of data information, determine whether the data parameter is a field that can be identified by the limiting pointer, and determine the transmission channel based on the identification field and transmit the data signal.

[0015] Furthermore, the logic table is set according to the sensor type.

[0016] Further, the processing module has a processing matrix composed of a number of processing blocks;

[0017] Each processing block forms a processing network consisting of multiple independent processing units;

[0018] Several output paths with the same direction are arranged between the processing networks formed by different processing blocks, and the output paths save the processing results of the processing units with the same processing tasks into the same storage block, and the processing results transmitted by different paths are accumulated in the processing units according to a set period.

[0019] Furthermore, each processing block is matched with a transmission node.

[0020] Furthermore, a monitor is provided at the processing block, and the monitor is used to monitor the state of the transmission channel corresponding to the transmission node, so as to monitor the accumulation behavior of the sensor data and identify whether there is any accumulation interruption of the sensor data.

[0021] Furthermore, the processing block loads a corresponding number of processing units according to the number of transmission channels of the connected transmission node to generate a processing network;

[0022] When the processing network is generated, the processing unit matching the transmission channel sets the output path according to the layout parameters set by the transmission channel, and configures the output path to save the processing results of the processing units with the same processing tasks into the same storage block.

[0023] The present application obtains the approximate location of crack leakage to drill holes in the goaf and deploy sensors to monitor the oxygen concentration, vibration and temperature in the area, so as to achieve accurate early warning of spontaneous combustion in the goaf of steeply inclined thick coal seams. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1It is a schematic diagram of the goaf of a medium-steeply inclined thick coal seam of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] A high altitude steeply inclined coal mine fire monitoring system, comprising:

[0027] The sensor modules and corresponding transmission nodes set at the air leakage areas obtained by the collapse simulation serve as the core of the fire monitoring system, wherein the fire monitoring system includes:

[0028] A processing module is connected to the transmission node, and the processing module is used to:

[0029] Receiving sensor data generated by the sensor module corresponding to the transmission node, and accumulating the sensor data according to a set period (I);

[0030] Monitoring the accumulation behavior of the sensor data and identifying whether there is an accumulation interruption of the sensor data (II);

[0031] Analyzing the accumulated sensor data, obtaining at least temperature accumulated data and oxygen content accumulated data from the sensor data, and comparing the temperature accumulated data and oxygen content accumulated data with set reference data to obtain several groups of comparison results (III);

[0032] An analysis module, connected to the processing module, for analyzing the probability of spontaneous combustion according to the obtained comparison results;

[0033] The early warning module is connected to the analysis module and is used to issue an early warning according to the obtained probability of spontaneous combustion.

[0034] Furthermore, the transmission node has:

[0035] A plurality of transmission units, wherein the transmission units are connected to corresponding sensors via a logic table, and each transmission unit has a transmission channel for limiting the transmission of a data signal generated by the control sensor;

[0036] An identification unit is connected to a plurality of the transmission units, wherein the identification unit has a limiting pointer, wherein the limiting pointer is associated with a layout parameter set for a transmission channel, and the limiting pointer is used to identify a data parameter of data information, determine whether the data parameter is a field that can be identified by the limiting pointer, and determine the transmission channel based on the identification field and transmit the data signal.

[0037] Furthermore, the logic table is set according to the sensor type.

[0038] Further, the processing module has a processing matrix composed of a number of processing blocks;

[0039] Each processing block forms a processing network consisting of multiple independent processing units;

[0040] Several output paths with the same direction are arranged between the processing networks formed by different processing blocks, and the output paths save the processing results of the processing units with the same processing tasks into the same storage block, and the processing results transmitted by different paths are accumulated in the processing units according to a set period.

[0041] Furthermore, each processing block is matched with a transmission node.

[0042] Furthermore, a monitor is provided at the processing block, and the monitor is used to monitor the state of the transmission channel corresponding to the transmission node, so as to monitor the accumulation behavior of the sensor data and identify whether there is any accumulation interruption of the sensor data.

[0043] Furthermore, the processing block loads a corresponding number of processing units according to the number of transmission channels of the connected transmission node to generate a processing network;

[0044] When the processing network is generated, the processing unit matching the transmission channel sets the output path according to the layout parameters set by the transmission channel, and configures the output path to save the processing results of the processing units with the same processing tasks into the same storage block.

[0045] Reference Figure 1, The possible crack leakage in the goaf of steeply inclined thick coal seams mainly includes the following two aspects. The first is the side crack leakage of the roof formed by the influence of horizontal segmented top coal mining; the second is the disturbance cracks caused by naturally existing surface cracks and mining disturbances on the geological structure. When the upper multi-layer is mined, the roof surrounding rock bends toward the goaf and moves downward with the rock layer, the bottom rock layer bulges toward the goaf and slides down along the layer. As the goaf continues to extend, the upper overburden will fracture and fall off. After the coal rock movement stabilizes, the roof rock layer will have collapse zones, fault zones and curved sinking zones, and the bottom plate will have curved sinking zones, resulting in the expansion of side crack leakage in the roof. At the same time, due to the fractures and caving inside the goaf, the disturbance cracks and surface cracks will also expand. When these cracks expand, the oxygen concentration that can enter the goaf will rise sharply. If there is a large amount of air leakage from each layered working surface to the surface of each layered goaf, the floating coal will reach the necessary conditions for spontaneous combustion (oxygen concentration and temperature) and cause a fire accident.

[0046] Figure 1 A schematic diagram of a goaf area of ​​a steeply inclined thick coal seam with support and backfilling in a segmented and multi-layered mining is specifically given, wherein a fireproof and windproof tunnel 1 is used to form the mining area into a relatively closed fireproof and windproof area, a final mining line 2, a supporting roof 3, a geological fracture 4 and a goaf 5.

[0047] In the above, when performing collapse simulation, the collapse simulation includes the following methods:

[0048] In the three-dimensional model of the goaf, the mining layer boundary of the goaf of the working face is delineated with the boundary of the final mining line as a reference, and the layered working face of the goaf of the working face is delineated with the mining layer boundary;

[0049] The coordinate position and the crack position of the loose coal body are marked in the layered working surface respectively, and then the loose coal body area and the crack area are delineated, and the corresponding relationship between the crack area and the loose coal body area in the spatial structure is obtained;

[0050] Each layered working surface is taken as an independent simulation, and the destruction coefficient of each layered working surface during collapse simulation is set. Then, a force equal to the destruction coefficient is applied from the crack area to the loose coal body area to simulate the degree of downward collapse of the loose coal body area under different destruction coefficients. According to the degree of downward collapse of the loose coal body area, the collapse spatial structure formed by the downward collapse of the loose coal body area is simulated accordingly, and the crack structure changes caused by the downward collapse of the loose coal body area to the associated crack area are simulated, so as to obtain the first simulation result of each layered working surface.

[0051] In the above, when each layered working face is simulated independently, the destruction coefficient of each layered working face collapse simulation is set based on the simulation benchmark that each loose coal area falls off under natural gravity due to external force.

[0052] In the above, according to the first simulation result of each stratified working surface, that is, the degree of downward collapse of the loose coal body area under different destruction coefficients and the crack structure changes caused by the downward collapse of the loose coal body area to the associated crack area are taken as the first simulation result, each stratified working surface is divided into several first area units according to the first simulation result, and the first air leakage channel is simulated in the corresponding first area unit according to each crack structure change, and the first position data of the first air leakage channel in the first area unit is recorded.

[0053] Specifically, according to the above description, the collapse simulation includes the following methods:

[0054] In the three-dimensional model of the goaf, the mining layer boundary of the goaf of the working face is delineated with the boundary of the final mining line as a reference, and the layered working face of the goaf of the working face is delineated with the mining layer boundary;

[0055] The coordinate position and the crack position of the loose coal body are marked in the layered working surface respectively, and then the loose coal body area and the crack area are delineated, and the corresponding relationship between the crack area and the loose coal body area in the spatial structure is obtained;

[0056] The nonlinear finite element software MSC.Marc is used for simulation analysis. The contact relationship between the loose coal areas in different layered working faces is marked in the nonlinear finite element software MSC.Marc, and the position correlation relationship of the crack areas in different layered working faces is set;

[0057] Taking any crack area in the uppermost layered working surface as the pressure point, different forces within the set range are applied to the uppermost layered working surface, and the collapse of the entire goaf is simulated according to the contact relationship between the loose coal body areas in different layered working surfaces, and the collapse range is calibrated;

[0058] The second simulation result is obtained according to the positional correlation between the collapse range and the existence of crack regions in different layered working surfaces.

[0059] In the above, the loose coal body areas in different layered working surfaces and the loose coal body areas in the same layered working surface are set as spatial contacts through the contact relationship, the marked positions of the loose coal body areas in the spatial contacts are recorded, and the structural contact is converted through the spatial contacts. The loose coal body areas in different layered working surfaces are used as the standard for demarcating structural blocks based on the volume of the spatial areas, and the structural blocks are reconstructed through the marked positions to obtain a structural contact simulation body formed by the structural blocks, and the corresponding compression stress coefficient and tension stress coefficient are set according to the volume of the spatial area of ​​each structural block;

[0060] This application transforms the loose coal area into a three-dimensional model with structural blocks as the main structure by using the volume of the spatial area as the standard for demarcating the structural blocks. It is similar to the building structure, and when assigning values, the volume of the spatial area can be directly converted into the compression stress coefficient and the tension stress coefficient by gravity. The gravity here can be the roughly estimated weight of the loose coal area.

[0061] Taking any crack area located on the uppermost layered working surface as the pressure point, a force corresponding to the compression stress coefficient and / or the tension stress coefficient is applied to the uppermost layered working surface. Since the positions of the structural contact simulation bodies are correlated with each other in an up-and-down position or in an overlapping relationship between the left and right sides, when one of the structural blocks collapses and fails, there is a chain failure corresponding to the up-and-down position correlation or the overlapping relationship between the left and right sides, so as to form a collapse simulation caused by structural failure, and calibrate the collapse range of the collapse simulation accordingly.

[0062] In the above, according to the second simulation result, that is: according to the calibrated collapse range of the collapse simulation, the three-dimensional model of the goaf is divided into several second area units, and according to the collapse result, the simulated second air leakage channel is delineated in the corresponding second area unit, and the second position data of the second air leakage channel in the second area unit is recorded.

[0063] In the above, the present application constructs a three-dimensional model of the goaf, surveys the crack position and loose coal body at each layered working face (the horizontal plane formed by layered mining), and performs corresponding collapse simulation. The approximate location of the crack leakage is obtained through the collapse simulation. By obtaining the approximate location of the crack leakage, the goaf is drilled and sensors are deployed to monitor the oxygen concentration, vibration and temperature in the area, so as to achieve accurate early warning of spontaneous combustion in the goaf of steeply inclined thick coal seams.

[0064] Furthermore, the sensor module at least includes:

[0065] Temperature sensors to monitor the temperature of the loose media area;

[0066] Oxygen concentration monitor to monitor oxygen content in loose media areas;

[0067] A vibration sensor that monitors vibration changes in loose media areas.

[0068] This application also includes:

[0069] Acquire the on-site 3D scanning data of the goaf of the working face, construct a 3D coordinate system based on the on-site 3D scanning data of the goaf of the working face, and construct a 3D model of the goaf based on the constructed 3D coordinate system, and construct the final mining line boundary of the goaf in the 3D model of the goaf;

[0070] Obtain crack detection data of the goaf of the working face, and mark the coordinate positions of the cracks and loose coal bodies in the three-dimensional model of the goaf based on the crack detection data;

[0071] The collapse simulation is carried out with the boundary of the final mining line of the three-dimensional model of the goaf, the coordinate position of the loose coal body and the position of the crack as the simulation benchmark. The three-dimensional model of the goaf is divided into several regional units according to the collapse results of the collapse simulation, and the simulated air leakage channel is delineated in the corresponding regional unit according to the collapse results, and the position data of the air leakage channel in the regional unit is recorded;

[0072] The preset position for drilling on site is set according to the position data of the air leakage channel marked in the area unit, the drilling on site is guided according to the position data of the air leakage channel, and the drilling is opened to the preset position;

[0073] The sensor modules and transmission nodes are arranged according to the drill holes opened on site, and the sensor modules are uploaded to the host computer through the transmission nodes;

[0074] It should be noted that, since this application can monitor the spontaneous combustion of coal in the goaf formed during mining, when layered and sealed mining is adopted during the mining process, due to the existence of certain cavities inside the coal seam, coupled with the disturbance formed during the mechanical mining process, the coal seam will experience self-collapse and disturbance collapse. Self-collapse and disturbance collapse generally do not form a chain reaction. In other words, self-collapse and disturbance collapse are most likely to occur in their respective layers. This type of collapse can be explained as a downward collapse caused by the change of the coal seam structure under the action of its own weight. Therefore, when performing collapse simulation, each layered working face needs to be simulated independently.

[0075] Continue to refer to Figure 1After the mining is completed, the support should be placed according to the geological conditions of the coal seam during the actual mining process. Therefore, the coal residues that may be formed in the goaf of different layers are different. For the loose coal seams in the horizontal coal seams, the required support strength is large. In order to ensure the safe withdrawal of the working face support, the mesh is laid without placing the top coal 30m away from the final mining line. As the working face advances, the coal residues in the goaf increase exponentially. Moreover, after the coal seam is mined, the loose coal residues will lose the support of part of the coal body, which will lead to a looser structure. In the goaf of the horizontal layered working face, there are a lot of coal residues in the goaf of each upper layered working face, and with the mining of the working face, all of them fall into the goaf of the working face, further increasing the amount of floating coal in the layered layer. In order to facilitate the support of the roadway, a certain thickness of coal skin is left on the two roadways and the top and bottom plates of the coal seams. With the mining of the working face, this part of the floating coal falls to the vicinity of the air intake and return roadways in the goaf, and there is also a section of triangular coal that cannot be mined on the side of the coal seam bottom plate of the working face. Therefore, due to inadequate support in the goaf after mining, there is a possibility that the internal coal may collapse. Once collapsed, a collapsed space is formed, which provides an effective space for oxygen accumulation. Therefore, in the fully mined goaf, structural simulation must be performed to obtain the final collapse simulation.

[0076] Structural collapse simulation is a complex numerical process of transformation from a continuum to a discontinuum. It requires that the numerical model can not only better consider the various behaviors of the structure before collapse, but also reflect the rigid body displacement of structural fragments and the mutual contact and collision between damaged block parts after the destruction of some components. Therefore, the current mainstream structural collapse simulation is simulated and analyzed using the nonlinear finite element software MSC.Marc. However, the simulation analysis of the nonlinear finite element software MSC.Marc is mainly used in the simulation analysis of building structures. Due to the complex structure of the goaf, and the structure of the goaf does not have to have a chain reaction like the building structure, it may exist randomly (for example, the supported part is difficult to collapse, while the unsupported loose part is prone to collapse, and due to the complex geological structure of the goaf, the support When the protection is set, its corresponding position is complex and changeable, some are close to each other, and some are set at intervals, which are closely related to the geological structure of the goaf). Therefore, the present invention sets the loose coal body areas in different stratified working faces and the loose coal body areas in the same stratified working faces as spatial contact through the contact relationship, records the marked positions of the loose coal body areas in the spatial contact, and performs structural contact transformation through spatial contact. The loose coal body areas in different stratified working faces are used as the standard for demarcating structural blocks with the volume of the spatial area, and the structural blocks are reconstructed through the marked positions to obtain a structural contact simulation body formed by the structural blocks, and the corresponding compression stress coefficient and tension stress coefficient are set according to the volume of the spatial area of ​​each structural block, which provides the possibility for realizing simulation analysis with the nonlinear finite element software MSC.Marc.

[0077] Since steeply inclined thick coal seams are mined in layers, this application can monitor coal spontaneous combustion in both the goaf formed during mining and the goaf formed after mining. Through a large number of studies, it is found that when the goaf collapses, a large amount of oxygen accumulates in the collapsed area due to the presence of air leakage in the cracks, which is the main reason for the formation of fire. Therefore, as long as the side cracks of the roof formed by the impact of the flat-section top coal mining can be effectively explored and the factors that cause the existence of fire can be sorted out, the spontaneous combustion of coal in the goaf of steeply inclined thick coal seams can be accurately monitored.

[0078] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A high altitude steeply inclined coal mine fire monitoring system, characterized in that: include: The sensor modules and corresponding transmission nodes set at the air leakage areas obtained by the collapse simulation serve as the core of the fire monitoring system, wherein the fire monitoring system includes: A processing module is connected to the transmission node, and the processing module is used to: Receiving sensor data generated by the sensor module corresponding to the transmission node, and accumulating the sensor data according to a set period (I); Monitoring the accumulation behavior of the sensor data and identifying whether there is an accumulation interruption of the sensor data (II); Analyzing the accumulated sensor data, obtaining at least temperature accumulated data and oxygen content accumulated data from the sensor data, and comparing the temperature accumulated data and oxygen content accumulated data with set reference data to obtain a plurality of groups of comparison results (III); An analysis module, connected to the processing module, for analyzing the probability of spontaneous combustion according to the obtained comparison results; The early warning module is connected to the analysis module and is used to issue an early warning according to the obtained probability of spontaneous combustion.

2. The high altitude steeply inclined coal mine fire monitoring system according to claim 1 is characterized in that: The transmission node has: A plurality of transmission units, wherein the transmission units are connected to corresponding sensors via a logic table, and each transmission unit has a transmission channel for limiting the transmission of a data signal generated by the control sensor; An identification unit is connected to a plurality of the transmission units, wherein the identification unit has a limiting pointer, wherein the limiting pointer is associated with a layout parameter set for a transmission channel, and the limiting pointer is used to identify a data parameter of data information, determine whether the data parameter is a field that can be identified by the limiting pointer, and determine the transmission channel based on the identification field and transmit the data signal.

3. The high altitude steeply inclined coal mine fire monitoring system according to claim 2 is characterized in that: The logic table is set according to the sensor type.

4. The high altitude steeply inclined coal mine fire monitoring system according to claim 2 is characterized in that: The processing module has a processing matrix composed of a number of processing blocks; Each processing block forms a processing network consisting of multiple independent processing units; Several output paths with the same direction are arranged between the processing networks formed by different processing blocks, and the output paths save the processing results of the processing units with the same processing tasks into the same storage block, and the processing results transmitted by different paths are accumulated in the processing units according to a set period.

5. The high altitude steeply inclined coal mine fire monitoring system according to claim 4 is characterized in that: Each processing block is matched with a transmission node.

6. The high altitude steeply inclined coal mine fire monitoring system according to claim 4 is characterized in that: A monitor is provided at the processing block, and the monitor is used to monitor the state of the transmission channel corresponding to the transmission node, so as to monitor the accumulation behavior of the sensor data and identify whether there is an accumulation interruption of the sensor data.

7. The high altitude steeply inclined coal mine fire monitoring system according to claim 4 is characterized in that: The processing block loads a corresponding number of processing units according to the number of transmission channels of the connected transmission node to generate a processing network; When the processing network is generated, the processing unit matching the transmission channel sets the output path according to the layout parameters set by the transmission channel, and configures the output path to save the processing results of the processing units with the same processing tasks into the same storage block.

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