Intelligent monitoring and early warning method and device for coal and gas outburst disaster of original coal seam in region

Abstract

The invention discloses a regional original coal seam coal and gas outburst disaster intelligent monitoring and early warning method and device, and the method comprises the steps: selecting a working face coal seam, arranging comprehensive recognition devices at an air return roadway and a transportation roadway of the working face coal seam, and enabling the comprehensive recognition devices to be in communication connection with an underground transfer base station through a conveying system to form an intelligent dynamic monitoring network, dynamic monitoring of multiple factors including regional original coal seam gas, ground stress and geologic structures is realized. The intelligent dynamic monitoring network monitors and uploads real-time data to the coal and gas outburst disaster intelligent early warning terminal, the three-dimensional drawing module is adopted for drawing, the risk grading module is adopted for risk grading, and the AI management module makes risk early warning prompts, constructs treatment measures and gives out emergency plan measures. Real-time monitoring is carried out through the intelligent monitoring network, comprehensive treatment is carried out in cooperation with the intelligent early warning terminal, intelligent early warning of coal and gas outburst disasters of an original coal seam in a region is achieved, and the possibility of outburst coal and gas outburst disasters is eradicated.

Description

Technical Field

[0001] The present invention relates to the field of coal mine coal and gas disaster prediction and outburst, and in particular to an intelligent monitoring and early warning method and device for regional original coal seam coal and gas outburst disasters. Background Art

[0002] According to the national requirements on coal resource integration, overall safety deployment of coal mines and intelligent construction, in order to achieve the goal of safe, efficient and green coal production, the intelligent production mode of coal mines has become an inevitable mode and a hard requirement. Among them, coal mine coal and gas outburst disaster early warning technology is one of the intelligent disaster early warning technologies.

[0003] At present, the existing above-and-below-ground monitoring and control system platform monitors the working face gas parameters, working face ground stress parameters, and working face temperature parameters. The monitoring data is manually or automatically input into the supervision platform, and the identification module is used to judge the danger and identify the working face gas situation. However, under disturbance, the coal seam gas is analyzed and migrated to the working face, showing the characteristics of spatial and temporal effects. Coal and gas outbursts are characterized by instantaneous and sudden occurrence. Therefore, the use of working face gas, ground stress, and temperature parameters to monitor can only indirectly analyze the gas control and occurrence conditions in the working face and the vicinity. There are deficiencies in the intelligent prediction of whether there is an abnormal coal and gas outburst area in the area in front of the working face, the location of the abnormal coal and gas outburst area, and the gas, ground stress, temperature, and coal rock activity in the abnormal area. This is also a difficult problem in realizing intelligent monitoring and early warning of coal and gas outburst disasters. Summary of the Invention

[0004] In response to the problems existing in the above-mentioned prior art, the present invention proposes a method and device for monitoring and early warning of coal and gas outburst disasters in regional original coal seams. The method takes the entire mining working face as the regional monitoring object, establishes an intelligent monitoring network for multiple factors such as regional original coal seam gas, ground stress, and geological structure, and transmits monitoring data to the intelligent early warning terminal for processing, identification, judgment, evaluation and decision-making, thereby realizing intelligent early warning of coal and gas outburst disasters in regional original coal seams and eliminating the possibility of coal and gas outburst disasters.

[0005] The present invention discloses an intelligent monitoring and early warning method for coal and gas outburst disasters in regional original coal seams, comprising:

[0006] S1: Select a coal seam at the working face and install comprehensive identification devices in its return air tunnel and transportation tunnel. The comprehensive identification devices are connected to the underground transfer base station through the transportation system to form an intelligent dynamic monitoring network, realizing dynamic monitoring of multiple factors including regional original coal seam gas, ground stress and geological structure;

[0007] S2: As the working face advances through the coal seam, the intelligent dynamic monitoring network monitors and uploads real-time data to the coal and gas outburst disaster intelligent early warning terminal. The 3D rendering module of the coal and gas outburst disaster intelligent early warning terminal draws based on the real-time data, transforming the multiple factors of coal and gas outburst disasters into a dynamic 3D visualization cloud map;

[0008] S3: The risk level classification module of the intelligent early warning terminal for coal and gas outburst disasters, which classifies risk levels based on real-time data from the intelligent dynamic monitoring network to divide the coal seams at the working face into different risk areas;

[0009] S4: The AI ​​management module of the intelligent early warning terminal for coal and gas outburst disasters makes risk warning prompts, builds governance measures, and issues emergency response plans based on real-time data from the intelligent dynamic monitoring network.

[0010] Furthermore, the step S1 includes:

[0011] Select the coal seam at the working face, arrange the transmitting end of the comprehensive identification device on the inner wall of the return air tunnel, and arrange the receiving end and data processing central module of the comprehensive identification device on the inner wall of the transport tunnel, so that the transmitting end sends out an identification band and is received by the receiving end, and then classified, integrated and fitted by the data processing central module, and then reaches the underground transfer base station through the transportation system to form an intelligent dynamic monitoring network.

[0012] Furthermore, in step S1, the arrangement distance and height of the comprehensive identification device are comprehensively determined based on the parameters of the comprehensive identification device, the width of the working face, and the thickness of the coal seam; the transmitting end on one side of the coal seam of the working face and the receiving end on the other side are arranged in a staggered manner, and the receiving end and the data processing hub module connected to each are arranged together;

[0013] Among them, the transmitting end is used to transmit different bands, and to conduct real-time scanning and identification of the original coal seam gas occurrence status, ground stress concentration, temperature changes, and geological structure coal and rock changes in the mining working face. The receiving end is used to receive signals of different bands, and the data processing central module identifies, converts and integrates the changes of signals of different bands to form a large amount of change data.

[0014] Furthermore, the step S3 includes:

[0015] The intelligent early warning terminal for coal and gas outburst disasters obtains real-time data reflecting multiple factors such as underground original coal seam gas, ground stress and geological structure. The risk level classification module converts and deduces the real-time data of different factors based on the risk classification criteria, and divides them into four levels: no risk, general risk, moderate risk and high risk, and establishes a three-dimensional dynamic real-time risk level classification map for regional coal and gas outburst disasters with multiple factors.

[0016] Furthermore, the step S4 includes:

[0017] Based on real-time data of multiple factors such as original coal seam gas, ground stress and geological structure of the underground mining working face, the AI ​​management module conducts disaster warning after identification and classification by the risk level classification module on the well, and combines the monitoring data of the working face monitoring instrument; for gas control in risky areas, the AI ​​management module will combine the characteristics of the risk area and intelligently provide a plan of control measures; for disasters with a trend of occurrence or the initial stage of occurrence, the AI ​​management module can quickly and independently issue emergency response measures such as disaster prediction, warning, power outage, and indication of safe evacuation routes.

[0018] Furthermore, the step S4 also includes: during the entire early warning process, the AI ​​management module outputs dynamic real-time data of the coal and gas outburst disaster management of the entire mining face to the main person in charge of the coal mine in wireless form, realizing regional coal and gas outburst intelligent monitoring and early warning.

[0019] The present invention also discloses an intelligent monitoring and early warning device for coal and gas outburst disasters in regional original coal seams. The device is applied to the intelligent monitoring and early warning method for coal and gas outburst disasters in regional original coal seams as described above. The device includes: a comprehensive identification device arranged in the return air tunnel and transport tunnel of the selected working face coal seam, a conveying system, an underground transfer base station, and an intelligent early warning terminal for coal and gas outburst disasters.

[0020] Among them, the comprehensive identification device is connected to the underground transfer base station through the communication system to form an intelligent dynamic monitoring network, realizing dynamic monitoring of multiple factors including regional original coal seam gas, ground stress and geological structure; the coal and gas outburst disaster intelligent early warning terminal is connected to the underground transfer base station.

[0021] Coal and gas outburst disaster intelligent early warning terminal, including:

[0022] A 3D rendering module is used to render data based on real-time data from the intelligent dynamic monitoring network, transforming multiple factors of coal and gas outburst disasters into dynamic 3D visualization cloud maps;

[0023] The risk level classification module is used to classify risk levels based on real-time data from the intelligent dynamic monitoring network and determine different risk areas of the coal seam at the working face;

[0024] The AI ​​management module is used to issue risk warnings, build governance measures, and issue emergency response plans based on real-time data from the intelligent dynamic monitoring network.

[0025] Furthermore, the comprehensive identification device includes a transmitting end, a receiving end, and a data processing central module; wherein, the transmitting end is arranged on the inner side of the return air tunnel, and the receiving end and the data processing central module are arranged on the inner side of the transport tunnel, so that the transmitting end emits an identification band and is received by the receiving end, and then classified, integrated and fitted by the data processing central module, and then reaches the underground transfer base station through the transportation system to form an intelligent dynamic monitoring network.

[0026] Furthermore, the arrangement distance and height of the comprehensive identification device are determined comprehensively based on the parameters of the comprehensive identification device, the width of the working face, and the thickness of the coal seam. The transmitting end on one side of the coal seam of the working face and the receiving end on the other side are arranged in a staggered manner, and the receiving end and the data processing hub module connected to each are arranged together.

[0027] Among them, the transmitting end is used to transmit different bands, and to conduct real-time scanning and identification of the original coal seam gas occurrence status, ground stress concentration, temperature changes, and geological structure coal and rock changes in the mining working face. The receiving end is used to receive signals of different bands, and the data processing central module identifies, converts and integrates the changes of signals of different bands to form a large amount of change data.

[0028] The present invention has at least the following beneficial effects:

[0029] (1) During the mining process, a new type of comprehensive identification device is arranged in the original coal body of the unmined working face. By establishing an intelligent dynamic monitoring network for multiple factors such as regional original coal seam gas, ground stress and geological structure, dynamic monitoring of the entire mining working face is achieved, eliminating the disaster management blind spots, disaster abnormality areas and disaster risk areas formed in large areas under the influence of mining, and improving the accuracy of regional coal and gas outburst disaster monitoring and early warning.

[0030] (2) Under the influence of mining, the present invention transforms the multi-factors of coal and gas outburst disasters in the entire mining face into a dynamic three-dimensional visual cloud map, and converts the real-time data of multiple factors such as gas, ground stress and geological structure into a dynamic map, thereby improving the intuitiveness of regional coal and gas outburst disaster monitoring and early warning.

[0031] (3) Based on the risk classification principle, the present invention converts and deduces multiple factors of coal and gas outburst disasters in the mining face and divides them into different risk levels, eliminating the blind phenomenon of coal and gas outburst disaster warning in a large area under the influence of mining, improving the efficiency of regional coal and gas outburst control, and increasing the recognition of regional coal and gas outburst disaster monitoring and warning.

[0032] (4) The present invention combines real-time data of multiple factors such as the original coal body gas, ground stress and geological structure of the working face with the working face monitoring data. The AI ​​management module provides risk warning prompts and builds disaster control measures. The AI ​​intelligently issues emergency plan measures, reflects the dynamic information of disaster control in real time, improves the efficiency of regional gas control, and realizes regional coal and gas outburst intelligent monitoring and early warning technology.

[0033] Other beneficial effects of the present invention will be described in detail in the specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order 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 use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0035] Figure 1 It is a method flow chart of a method for intelligent monitoring and early warning of coal and gas outburst disasters in regional original coal seams disclosed in a preferred embodiment of the present invention.

[0036] Figure 2 It is a planar principle diagram of an intelligent monitoring and early warning method for coal and gas outburst disasters in regional original coal seams disclosed in a preferred embodiment of the present invention.

[0037] Figure 3 It is a system principle diagram of a method for intelligent monitoring and early warning of coal and gas outburst disasters in regional original coal seams disclosed in a preferred embodiment of the present invention.

[0038] Figure 4 This is a system block diagram of the intelligent early warning terminal for coal and gas outburst disasters disclosed in the preferred embodiment of the present invention.

[0039] Figure 5 It is a process logic diagram of a method for intelligent monitoring and early warning of coal and gas outburst disasters in regional original coal seams disclosed in a preferred embodiment of the present invention.

[0040] Among them, 1-working face coal seam, 2-return air tunnel, 3-transport tunnel, 4-transmitter, 5-receiver, 6-data processing center module, 7-identification band, 8-transportation system, 9-underground transfer base station, 10-coal and gas outburst disaster intelligent early warning terminal, 101-three-dimensional drawing module, 102-risk level classification module, 103-AI management module, 11-risk area, 12-working face, 13-goaf. DETAILED DESCRIPTION

[0041] To make the objectives, technical solutions, and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other implementations obtained by those of ordinary skill in the art without inventive effort are within the scope of protection of the present invention.

[0042] See also Figures 1 to 5 The present invention discloses an intelligent monitoring and early warning method for coal and gas outburst disasters in regional original coal seams, comprising:

[0043] S1: Select the coal seam 1 at the working face, and set up a comprehensive identification device in its return air tunnel 2 and transportation tunnel 3. The comprehensive identification device is connected to the underground transfer base station 9 by setting up a transportation system 8 to form an intelligent dynamic monitoring network, so as to realize dynamic monitoring of multiple factors including regional original coal seam gas, ground stress and geological structure.

[0044] Preferably, the inner side of the transport chute and return air chute of the mining face 12 of the protruding coal seam after comprehensive treatment is selected, and a new comprehensive identification device is arranged at a set distance and height. The arrangement distance and height are determined by comprehensive calculation based on the parameters of the comprehensive identification device, the width of the working face 12, the thickness of the coal seam and other parameters. The comprehensive identification device consists of three parts: a transmitting end 4, a receiving end 5 and an identification conversion middle end. The transmitting end 4 and the receiving end 5 are arranged alternately, and the receiving end 5 and the identification conversion middle end are arranged together. The transmitting end 4 transmits different bands to scan and identify the original coal seam gas occurrence state, ground stress concentration, temperature changes and geological structure coal rock changes in the mining face 12 in real time. The receiving end 5 receives signals of different bands, and the identification conversion middle end identifies, converts and integrates the changes in signals of different bands to form a large amount of change data, and finally establishes an intelligent dynamic monitoring network for multiple factors such as original coal seam gas, ground stress and geological structure of the mining face.

[0045] S2: As the working face coal seam 1 advances, the intelligent dynamic monitoring network monitors and uploads real-time data to the coal and gas outburst disaster intelligent early warning terminal 10. The three-dimensional drawing module 101 of the coal and gas outburst disaster intelligent early warning terminal 10 draws based on the real-time data to convert the multiple factors of coal and gas outburst disasters into a dynamic three-dimensional visualization cloud map.

[0046] Preferably, as the working face 12 advances, the real-time data of multiple factors such as the original coal seam gas, ground stress and geological structure of the working face monitored and collected by the comprehensive identification device are output by the identification conversion middle end, and the data is transmitted to the underground transfer base station 9 via the wired network, and the base station is transmitted to the three-dimensional drawing module 101 of the intelligent three-dimensional modeling terminal of coal and gas outburst disasters on the surface through a dedicated line. The data is classified, integrated and fitted by the data processing central module 6. According to the level division principle, the three-dimensional cloud map of the coal and gas outburst disasters of the mining working face 12 is constructed through the three-dimensional mapping system. Based on the mining action, the multiple factors of the coal and gas outburst disasters of the entire mining working face 12 are transformed into a dynamic three-dimensional visualization cloud map.

[0047] S3: The risk level classification module 102 of the intelligent early warning terminal 10 for coal and gas outburst disasters performs risk level classification based on the real-time data of the intelligent dynamic monitoring network to divide the coal seam 1 of the working face into different risk areas 11.

[0048] Preferably, the real-time data of multiple factors such as the original coal seam gas, ground stress and geological structure in the mine are passed through the risk level classification module 102 in the surface disaster warning system. According to the risk classification criteria, the real-time data of different factors are converted and deduced, and divided into four levels: no risk, general risk, moderate risk and high risk, to establish a multi-factor three-dimensional dynamic real-time risk level classification map for regional coal and gas outbursts.

[0049] S4: The AI ​​management module 103 of the intelligent early warning terminal 10 for coal and gas outburst disasters makes risk warning prompts, builds governance measures, and issues emergency response plans based on real-time data from the intelligent dynamic monitoring network.

[0050] Preferably, based on the real-time data of multiple factors such as the original coal seam gas, ground stress and geological structure of the underground mining working face, after identification and classification by the surface coal and gas outburst disaster risk level classification module 102, and combined with the monitoring data of the monitoring instruments of the working face 12, the AI ​​management module 103 performs disaster warning; for gas control in risky areas, the AI ​​management module 103 will combine the characteristics of the risk area 11 and intelligently provide a solution for control measures; for disasters with a trend of occurrence or the initial stage of occurrence, the AI ​​management system can quickly and independently issue emergency response measures such as disaster prediction, warning, power outage, and indication of safe evacuation routes; during the entire warning process, the AI ​​management module 103 will also output the dynamic real-time data of the coal and gas outburst disaster control of the entire mining working face 12 to the main person in charge of the coal mine in real time in a wireless form, realizing regional coal and gas outburst intelligent monitoring and early warning.

[0051] The present invention also discloses an intelligent monitoring and early warning device for coal and gas outburst disasters in regional original coal seams. The device is applied to the intelligent monitoring and early warning method for coal and gas outburst disasters in regional original coal seams as described above. The device includes: a comprehensive identification device arranged in the return air tunnel 2 and the transport tunnel 3 of the selected working face coal seam 1, a conveying system 8, an underground transfer base station 9, and an intelligent early warning terminal 10 for coal and gas outburst disasters.

[0052] Among them, the comprehensive identification device is connected to the underground transfer base station 9 by setting up a transportation system 8 to form an intelligent dynamic monitoring network, thereby realizing dynamic monitoring of multiple factors including regional original coal seam gas, ground stress and geological structure; the coal and gas outburst disaster intelligent early warning terminal 10 is connected to the underground transfer base station 9.

[0053] The intelligent early warning terminal 10 for coal and gas outburst disasters includes:

[0054] The three-dimensional rendering module 101 is used to render the real-time data of the intelligent dynamic monitoring network and convert the multiple factors of coal and gas outburst disasters into a dynamic three-dimensional visual cloud map;

[0055] The risk level classification module 102 is used to classify the risk levels according to the real-time data of the intelligent dynamic monitoring network and determine the different risk areas 11 of the coal seam 1 of the working face;

[0056] The AI ​​management module 103 is used to issue risk warning prompts, build governance measures, and issue emergency response plans based on the real-time data of the intelligent dynamic monitoring network.

[0057] Preferably, the comprehensive identification device includes a transmitting end 4, a receiving end 5, and a data processing central module 6; wherein, the transmitting end 4 is arranged on the inner side of the return air duct 2, and the receiving end 5 and the data processing central module 6 are arranged on the inner side of the transport duct 3, so that the transmitting end 4 emits an identification band 7 and is received by the receiving end 5, and then classified, integrated and fitted by the data processing central module 6, and then reaches the underground transfer base station 9 through the transportation system 8 to form an intelligent dynamic monitoring network.

[0058] Preferably, the arrangement distance and height of the comprehensive identification device are comprehensively determined based on the parameters of the comprehensive identification device, the width of the working face 12, and the thickness parameters of the coal seam; the transmitting end 4 on one side of the coal seam 1 of the working face and the receiving end 5 on the other side are arranged in a staggered manner, and the receiving end 5 and the data processing hub module 6 connected to each are arranged together;

[0059] Among them, the transmitting end 4 is used to transmit different bands, and to perform real-time scanning and identification of the original coal seam gas occurrence status, ground stress concentration, temperature changes, and geological structure coal and rock changes in the mining working face 12; the receiving end 5 is used to receive signals of different bands, and the data processing central module 6 identifies, converts, and integrates the changes of signals of different bands to form a large amount of change data.

[0060] In order to further illustrate the above technical solution, the present invention discloses the following embodiments:

[0061] Example

[0062] Select the working face coal seam 1, arrange the transmitting end 4 of the new comprehensive identification device on the inner wall of the return air tunnel 2, and arrange the receiving end 5 and the data processing central module 6 on the inner wall of the transport tunnel 3. The identification band 7 is emitted by the transmitting end 4, received by the receiving end 5, and then classified, integrated and fitted by the data processing central module 6. It reaches the underground transfer base station 9 through the transportation system 8, forming an intelligent dynamic monitoring network of multiple factors such as regional original coal seam gas, ground stress and geological structure. It is transmitted to the coal and gas outburst disaster intelligent early warning terminal 10 by the transportation system 8, and a three-dimensional dynamic cloud map is drawn by the three-dimensional drawing module 101, realizing the transformation of multiple factors such as regional original coal seam gas, ground stress and geological structure into dynamic three-dimensional visualization technology.

[0063] As the working face 12 advances, the scope of the goaf 13 increases, and the stress, gas, temperature and structure of the working face coal seam 1 change. The real-time data monitored by the intelligent dynamic monitoring network formed by the underground transmitting end 4, the receiving end 5, the data processing center module 6 and the underground transfer base station 9 are divided into risk levels by the coal and gas outburst disaster risk level classification module 102 of the coal and gas outburst disaster intelligent early warning terminal 10, and different risk areas 11 are divided, realizing the regional original coal seam coal and gas outburst disaster risk level classification technology.

[0064] The real-time data monitored by the intelligent dynamic monitoring network passes through the coal and gas outburst disaster AI management module 103 of the coal and gas outburst disaster intelligent early warning terminal 10. The early warning function of the AI ​​management module 103 makes risk warning prompts, the measure construction function of the AI ​​management module 103 constructs governance measures, and the self-processing function of the AI ​​management module 103 issues emergency plan measures, realizing the regional original coal seam coal and gas outburst disaster AI management decision-making technology.

[0065] The above description is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An intelligent monitoring and early warning method for coal and gas outburst disasters in regional original coal seams, characterized in that: include: S1: Select the coal seam at the working face and set up comprehensive identification devices in its return air tunnel and transportation tunnel. The comprehensive identification device is connected to the underground transfer base station through the transmission system to form an intelligent dynamic monitoring network to realize dynamic monitoring of multiple factors including regional original coal seam gas, ground stress and geological structure; S2: As the coal seam of the working face advances, the intelligent dynamic monitoring network monitors and uploads real-time data to the intelligent early warning terminal for coal and gas outburst disasters. The three-dimensional drawing module of the intelligent early warning terminal for coal and gas outburst disasters draws based on real-time data to transform multiple factors of coal and gas outburst disasters into dynamic three-dimensional visualization cloud maps; S3: Risk level classification module of the intelligent early warning terminal for coal and gas outburst disasters, which classifies risk levels based on real-time data from the intelligent dynamic monitoring network to divide different risk areas of the coal seam at the working face; S4: The AI ​​management module of the intelligent early warning terminal for coal and gas outburst disasters makes risk warning prompts, builds governance measures, and issues emergency response plans based on real-time data from the intelligent dynamic monitoring network.

2. The intelligent monitoring and early warning method for regional original coal seam coal and gas outburst disasters according to claim 1 is characterized in that: The step S1 comprises: Select the coal seam at the working face, arrange the transmitting end of the comprehensive identification device on the inner wall of the return air tunnel, and arrange the receiving end and the data processing central module of the comprehensive identification device on the inner wall of the transport tunnel, so that the transmitting end sends out an identification band and is received by the receiving end, which is then classified, integrated and fitted by the data processing central module, and then reaches the underground transfer base station through the transportation system to form an intelligent dynamic monitoring network.

3. The intelligent monitoring and early warning method for regional original coal seam coal and gas outburst disasters according to claim 2 is characterized in that: In the step S1, the arrangement distance and height of the comprehensive identification device are comprehensively determined according to the parameters of the comprehensive identification device, the width of the working face, and the thickness of the coal seam; the transmitting end on one side of the coal seam of the working face and the receiving end on the other side are arranged in a staggered manner, and the receiving end and the data processing central module connected to each are arranged together; Among them, the transmitting end is used to transmit different bands, and to conduct real-time scanning and identification of the original coal seam gas occurrence status, ground stress concentration, temperature changes, and geological structure coal and rock changes in the mining working face. The receiving end is used to receive signals of different bands, and the data processing central module identifies, converts and integrates the changes of signals of different bands to form a large amount of change data.

4. The intelligent monitoring and early warning method for regional original coal seam coal and gas outburst disasters according to claim 1 is characterized in that: The step S3 comprises: The intelligent early warning terminal for coal and gas outburst disasters obtains real-time data reflecting multiple factors including the original coal seam gas, ground stress and geological structure in the mine. The risk level division module converts and deduce the real-time data of different factors according to the risk division criteria, and divides them into four levels: no risk, general risk, moderate risk and high risk, and establishes a three-dimensional dynamic real-time risk level division map of multiple factors for regional coal and gas outburst disasters.

5. The intelligent monitoring and early warning method for regional original coal seam coal and gas outburst disasters according to claim 1 is characterized in that: The step S4 comprises: Based on the real-time data of multiple factors including the original coal seam gas, ground stress and geological structure of the underground mining working face, the AI ​​management module will issue disaster warnings after identification and classification by the risk level classification module on the well, and combined with the monitoring data of the working face monitoring instruments; for gas control in risky areas, the AI ​​management module will intelligently provide control measures based on the characteristics of the risk area; for disasters that have a trend of occurrence or are in the initial stage of occurrence, the AI ​​management module can quickly and independently issue emergency response measures such as disaster prediction, warning, power outage, and indication of safe evacuation routes.

6. The intelligent monitoring and early warning method for regional original coal seam coal and gas outburst disasters according to claim 1 is characterized in that: The step S4 also includes: during the entire early warning process, the AI ​​management module outputs dynamic real-time data of coal and gas outburst disaster management of the entire mining face to the main person in charge of the coal mine in wireless form, realizing regional coal and gas outburst intelligent monitoring and early warning.

7. An intelligent monitoring and early warning device for coal and gas outburst disasters in regional original coal seams, characterized in that: The device is applied to the intelligent monitoring and early warning method for coal and gas outburst disasters in the original coal seam of the region as described in any one of claims 1 to 6, and the device comprises: a comprehensive identification device arranged in the return air lane and the transportation lane of the coal seam of the selected working face, a conveying system, an underground transfer base station, and an intelligent early warning terminal for coal and gas outburst disasters; Among them, the comprehensive identification device is connected to the underground transfer base station through the transmission system to form an intelligent dynamic monitoring network, realizing dynamic monitoring of multiple factors including regional original coal seam gas, ground stress and geological structure; the coal and gas outburst disaster intelligent early warning terminal is connected to the underground transfer base station; Coal and gas outburst disaster intelligent early warning terminal, including: The 3D drawing module is used to draw according to the real-time data of the intelligent dynamic monitoring network, and transform the multiple factors of coal and gas outburst disasters into dynamic 3D visualization cloud maps; The risk level classification module is used to classify the risk levels according to the real-time data of the intelligent dynamic monitoring network and determine the different risk areas of the coal seam at the working face; The AI ​​management module is used to issue risk warning prompts, build governance measures, and issue emergency response plans based on the real-time data of the intelligent dynamic monitoring network.

8. The intelligent monitoring and early warning device for regional original coal seam coal and gas outburst disasters according to claim is characterized in that: The comprehensive identification device includes a transmitting end, a receiving end, and a data processing central module; wherein the transmitting end is arranged on the inner side of the return air tunnel, and the receiving end and the data processing central module are arranged on the inner side of the transport tunnel, so that the transmitting end sends out an identification band and is received by the receiving end, and then classified, integrated and fitted by the data processing central module, and then reaches the underground transfer base station through the transportation system to form an intelligent dynamic monitoring network.

9. The intelligent monitoring and early warning device for regional original coal seam coal and gas outburst disasters according to claim 8 is characterized in that: The layout distance and height of the comprehensive identification device are comprehensively determined based on the parameters of the comprehensive identification device, the width of the working face, and the thickness of the coal seam; the transmitting end on one side of the coal seam of the working face and the receiving end on the other side are arranged in a staggered manner, and the receiving end and the data processing central module connected to each are arranged together; Among them, the transmitting end is used to transmit different bands, and to conduct real-time scanning and identification of the original coal seam gas occurrence status, ground stress concentration, temperature changes, and geological structure coal and rock changes in the mining working face. The receiving end is used to receive signals of different bands, and the data processing central module identifies, converts and integrates the changes of signals of different bands to form a large amount of change data.

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