An intelligent prediction system for gas overrun at a coal roadway tunneling working face and a prediction method thereof

Abstract

The application relates to an intelligent prediction system and method for gas overrun at a coal roadway tunneling working face, which comprises a data acquisition system (single-hole gas precision measurement and ground stress measurement while drilling), a gas concentration analysis module, a ground stress analysis module and a gas overrun early warning module; the method extracts gas monitoring data in a time period before the current time and ground stress measurement while drilling monitoring data of a coal seam roof rock stratum by real-time acquisition of gas concentration and ground stress data while drilling at the coal roadway tunneling working face M t and the current time T 1 , T 2 ; calculates gas monitoring indexes N t , P t ; calculates ground stress monitoring indexes; when the indexes N t are greater than threshold values N 0 , short-term gas overrun early warning is performed; when the gas monitoring data M t is greater than a threshold value M 0 or the ground stress monitoring data Z is greater than a threshold value α 0 , emergency gas overrun early warning is performed. The application realizes dynamic intelligent early warning for gas overrun at the coal roadway tunneling working face, and effectively guarantees the safety production of the coal mine.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of gas disaster prediction, and particularly relates to an intelligent prediction system for gas overrun at a coal roadway tunneling working face and a prediction method thereof. BACKGROUND

[0002] With long-term large-scale development of coal resources, deep mining with a depth of 800m or more has become a new normal of coal resource development. Influenced by factors such as buried depth, high ground stress and high ground temperature, deep coal mining faces problems such as increased gas emission, increased gas pressure and abnormal emission of local gas, which directly leads to increased threat of gas disasters to mines. Coal mine gas outburst accidents mainly occur at coal roadway tunneling working faces. Coal mine gas overrun is an abnormal phenomenon that the gas concentration in the underground working environment exceeds the specified safety limit. Gas overrun is prone to cause coal and gas outburst, gas explosion and other disastrous accidents, so avoiding gas accumulation or gas overrun in the underground is a key link in preventing coal and gas outburst and gas explosion, and is also a necessary means to provide a good working environment for workers. In order to prevent such accidents, coal mines are generally equipped with safety monitoring systems to realize online monitoring of the gas concentration in the environment of key areas in the underground and automatic alarm after gas overrun.

[0003] Gas overrun prevention is a key link in coal mine gas disaster prevention, and there are many influencing factors of gas disasters, complex causes and easy formation of coupled disasters. The existing gas concentration monitoring equipment and means cannot realize accurate early warning of gas disasters, and there are problems such as single measurement parameter, inaccurate measurement and untimely response. Therefore, an intelligent prediction method for gas overrun at a working face combining various gas monitoring data is urgently needed. SUMMARY

[0004] The present application aims to overcome the above-mentioned deficiencies, and provides an intelligent prediction system for gas overrun at a coal roadway tunneling working face and a prediction method thereof. Through intelligent analysis of high-precision low-gas flow monitoring data of extraction boreholes and ground stress monitoring data while drilling, non-contact continuous intelligent early warning of gas overrun risk at a coal mine tunneling working face is realized, which is beneficial to the advanced prevention and control of coal mine gas accidents.

[0005] The purpose of the present application is achieved as follows:

[0006] The application discloses an intelligent prediction system for gas overrun of a coal roadway driving face, which comprises a data acquisition module, a gas concentration analysis module, a ground stress analysis module and a gas overrun early warning module.

[0007] The data acquisition module is used for acquiring monitoring data and providing early warning basic data for the remaining modules.

[0008] The drilling machine is connected with the gas overrun early warning module, the gas overrun early warning module is connected with the ground stress analysis module and the gas concentration analysis module, the ground stress analysis module is connected with each ground stress measurement instrument, and the gas concentration analysis module is connected with each single-hole gas precision measurement instrument.

[0009] The pre-drainage roadway is a high roadway or a bottom roadway, a drilling machine is used to drill a through-hole in the pre-drainage roadway to the driving roadway arranged in the coal seam, and each through-hole within a range of 3 drilling fields in front of the current driving head is provided with a single-hole gas precision measurement instrument and a ground stress measurement instrument.

[0010] Further, the gas concentration analysis module is used for analyzing the change of the gas concentration characteristics of the driving roadway in real time, predicting the gas concentration sequence of the driving roadway in a future period of time, obtaining a real-time change curve of the ultra-low gas concentration, a prediction curve of the gas concentration and a maximum value possibly appearing in the future gas concentration, and obtaining a prediction index of the gas concentration.

[0011] The ground stress analysis module is used for analyzing the change of the ground stress of hard rock and soft rock, combining the drilling machine output energy, the drilling cuttings amount and the drilling cuttings particle size distribution in the drilling process, calculating the in-situ ground stress of the hard rock and the soft rock, obtaining an in-situ ground stress change curve and a prediction curve and a maximum value possibly appearing in the future ground stress, and obtaining a prediction index of the ground stress.

[0012] The gas overrun early warning module performs gas overrun risk identification according to the gas concentration analysis module and the ground stress analysis module, and gives an early warning result of the gas overrun risk size.

[0013] Further, the hole arrangement position of the through-layer borehole is the entire tunneling roadway and the to-be-tunneling roadway, including the range within 15 m outside the profile line of the tunneling roadway and the to-be-tunneling roadway.

[0014] Further, the hole arrangement interval of the through-layer borehole is 2R, R being the borehole extraction radius.

[0015] Further, every 4-6 rows of through-layer boreholes are arranged with a drilling field, and the interval between the drilling fields is not more than 10 m.

[0016] Further, the single-hole gas precision meter is arranged at the middle part of the through-layer borehole, and the while-drilling ground stress measuring instrument is arranged on the coal seam.

[0017] An intelligent prediction method for gas overrun of a coal roadway tunneling working face, based on the above-mentioned intelligent prediction system for gas overrun of a coal roadway tunneling working face, comprises the following contents:

[0018] Step one, borehole data collection;

[0019] In the coal seam pre-drainage roadway, the through-layer borehole is constructed, the single-hole gas data and the ground stress monitoring data of at least 3 drilling fields ahead of the current tunneling machine in the entire tunneling roadway are acquired in real time, and the drill cuttings are collected.

[0020] Step two, extraction of gas monitoring data and while-drilling ground stress monitoring data;

[0021] Extraction of the gas monitoring value at the current time M t With Before the current time T 1、 T 2 time period gas monitoring data, and extraction of the while-drilling ground stress monitoring data of the coal seam roof rock stratum;

[0022] Step three, index calculation N t ;

[0023] Indicator N t is the average value of the gas monitoring data of the T1 time period before the current time, according to T 1 The gas concentration analysis module calculates the index N t ; the calculation method of the index N t is as follows:

[0024] ;

[0025] Step four, index calculation P t and in-situ ground stressα t ;

[0026] According to T 2 the gas concentration analysis module calculates the index P t , the index P t is the average value of the gas monitoring data of the time period before the current time; the index T 2 is the average value of the gas monitoring data of the time period before the current time; the index P t The calculation method is:

[0027] ;

[0028] Among them, y i is T 2 the working face gas monitoring data at different times within the time period; v is the working face advancing speed; l is the working face advancing distance;

[0029] According to T 2 the ground stress monitoring data of the time period, the in-situ ground stress is calculated through the ground stress analysis module α t , and the above index data is sent to the ground for backup; the in-situ ground stress α t The calculation method is:

[0030] ;

[0031] Step five, judge the early warning;

[0032] Gas short-term overrun early warning threshold N 0 Take the index T 1 of the time period before the current time; N t ; the threshold M 0 take the average value of the gas monitoring data of the time period before the current time T 2 P t 200%, that is ; the threshold α 0 calculation method is:

[0033] ;

[0034] Among them, z ​i For T 2 In-situ stress monitoring data of different boreholes in a time period; v For working face advancing speed; l For working face advancing distance;

[0035] When the index N t is greater than the threshold value N 0 , the gas overrun early warning module performs short-term early warning of gas overrun; when the gas monitoring value M t is greater than the threshold value M 0, emergency early warning of gas overrun is performed;

[0036] When the in-situ stress monitoring data of the rock stratum to be measured is greater than the threshold value α 0, emergency early warning of gas overrun is performed; after triggering the early warning, gas electrical interlocking operation is immediately implemented.

[0037] Further, the time period T 1 is 15-20 min; and the time period T 2 is determined according to the working face advancing speed.

[0038] Further, if N t is greater than N 0, short-term early warning of gas overrun for 10-15 min is performed; this step is repeatedly performed, if short-term early warning of gas overrun is continuously accumulated for 2 times or more, gas electrical interlocking operation is immediately implemented; if the current gas monitoring value M t is greater than M 0, emergency early warning of gas overrun is performed, and gas electrical interlocking operation is immediately implemented to cut off the power supply of the roadheader, and the roadheader stops working.

[0039] Further, the gas concentration interval for obtaining single-hole gas precision measurement data is 0-100%.

[0040] Compared with the prior art, the present application has the following beneficial effects:

[0041] The present application realizes in-depth mining of mine gas monitoring data and in-situ stress monitoring data while drilling, realizes single-hole precision measurement of gas extraction boreholes and in-situ stress monitoring while drilling through real-time monitoring and analysis of gas parameters and in-situ stress parameters of at least 3 drill fields in front of the working face of the excavated roadway (including the range of 15 m outside the two roadway contour lines). Based on the monitoring data of gas and in-situ stress, the present application cooperates to monitor the gas flow of the excavated roadway, realizes real-time early warning of gas overrun of the excavated roadway, and effectively ensures the production safety of the mine. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 is a structural schematic diagram of the prediction system of the present application.

[0043] Figure 2 is a schematic diagram of the arrangement inside the drill field of embodiment 1 of the present application.

[0044] Figure 3 is a schematic diagram of the hole arrangement plane of embodiment 1 of the present application.

[0045] Figure 4 is a front view of the hole arrangement of embodiment 1 of the present application.

[0046] Figure 5 is a side view of the hole arrangement of embodiment 1 of the present application.

[0047] Figure 6 is a schematic diagram of the arrangement inside the drill field of embodiment 2 of the present application.

[0048] Figure 7 is a schematic diagram of the hole arrangement plane of embodiment 2 of the present application.

[0049] Figure 8 is a front view of the hole arrangement of embodiment 2 of the present application.

[0050] wherein:

[0051] heading roadway 1, drill field 2, cross-hole 3, roadway to be excavated 4, high drainage roadway 5, advanced drill field 6, coal seam 7, single-hole gas precision meter 8, while-drilling ground stress measuring instrument 9, directional drilling rig 10, ground stress analysis module 11, gas concentration analysis module 12, gas overrun early warning module 13, bottom drainage roadway 14. DETAILED DESCRIPTION

[0052] In order to better understand the technical solutions of the present application, the following will be described in detail in combination with relevant drawings. It should be understood that the following specific embodiments are not intended to limit the specific implementation manners of the technical solutions of the present application, and are only implementation manners that can be adopted by the technical solutions of the present application. It should be noted that the expressions about the positional relationship of each component in this paper, such as that the A component is located above the B component, are based on the expression of the relative position of each component in the drawings, and are not intended to limit the actual positional relationship of each component. Embodiment 1

[0053] Reference is made to Figures 1-5 , Figure 1A structure diagram of an intelligent prediction system for gas overrun in a coal roadway tunneling working face is drawn. As shown in the figure, the intelligent prediction system for gas overrun in a coal roadway tunneling working face of embodiment 1 comprises a data acquisition module, a gas concentration analysis module 12, a ground stress analysis module 11 and a gas overrun early warning module 13. The data acquisition module collects gas parameter data (i.e. single-hole precise measurement data of gas extraction drilling) and ground stress while-drilling measurement data in the tunneling process of the working face; the gas concentration analysis module 12 and the ground stress analysis module 11 perform corresponding fitting analysis on the collected single-hole precise measurement data of gas extraction drilling and ground stress while-drilling monitoring data to obtain gas and ground stress early warning indexes; and the gas overrun early warning module 13 gives a joint early warning of gas overrun accidents in the tunneling process according to the fitting results.

[0054] The data acquisition module is used to collect monitoring data to provide early warning basic data for the remaining modules; the data acquisition module mainly comprises a single-hole gas precise measurement instrument 8 and a while-drilling ground stress measurement instrument 9, and is connected to the corresponding analysis modules through wireless sensors.

[0055] The gas concentration analysis module 12 is mainly used to analyze the change of the gas concentration characteristics of the tunneling roadway in real time, predict the gas concentration sequence of the tunneling roadway in the future period of time, obtain the real-time change curve of the ultra-low gas concentration, the gas concentration change prediction curve and the maximum value of the future gas concentration, and obtain the prediction index of the gas concentration; the gas concentration analysis module 12 can use the YZC6 type gas extraction pipeline multi-parameter measuring instrument software (2023SR1201469) on the market.

[0056] The ground stress analysis module 11 is mainly used to analyze the change of the ground stress of hard and soft rock, and combines the drilling rig output energy, the amount of drill cuttings and the drill cuttings size distribution in the drilling process to calculate the in-situ ground stress of soft and hard rock, obtain the in-situ ground stress change curve and prediction curve and the maximum value of the future ground stress, and obtain the prediction index of the while-drilling ground stress; the ground stress analysis module 11 can use the YZC6 type gas extraction pipeline multi-parameter measuring instrument software (2023SR1201469), and can also refer to the downhole while-drilling ground stress measurement system provided in Chinese patent CN202322197718.1.

[0057] The gas overrun early warning module 13 performs gas overrun risk identification according to the gas concentration analysis module 12 and the ground stress analysis module 11, and gives an early warning result of the size of the gas overrun risk.

[0058] In this embodiment 1, the drilling holes are extracted from the drilling field 2 of the high drainage roadway 5, and the drilling field 2 is constructed by using the directional drilling machine 10 in the coal seam 7. The drilling hole 3 is arranged in the entire tunneling roadway 1 and the to-be-excavated roadway 4, including the range of 15 m outside the two roadway contour lines of the tunneling roadway 1 and the to-be-excavated roadway 4, and the hole spacing is 2R, R is the drilling extraction radius, and R is 2.5 m in this embodiment 1.

[0059] Every 4-6 rows of cross-layer drilling holes 3 are arranged with a drilling field 2, and the spacing between each drilling field 2 is generally not more than 10 m, and in this embodiment 1, one drilling field 2 is arranged every 4 rows of cross-layer drilling holes 3; and a single-hole gas precision meter 8 and a while-drilling ground stress measuring instrument 9 are installed for all cross-layer drilling holes 3 within the range of 3 drilling fields ahead of the current tunneling machine position; the single-hole gas precision meter 8 is arranged in the middle of the cross-layer drilling hole 3, and the while-drilling ground stress measuring instrument 9 is arranged on the coal seam 7.

[0060] The directional drilling machine 10 is connected with a gas overrun early warning module 13, the gas overrun early warning module 13 is respectively connected with a ground stress analysis module 11 and a gas concentration analysis module 12, the ground stress analysis module 11 is connected with each while-drilling ground stress measuring instrument 9, and the gas concentration analysis module 12 is connected with each single-hole gas precision meter 8, so that the gas single-hole precision metering data and the while-drilling ground stress measurement data are obtained in real time while the gas is extracted.

[0061] An intelligent prediction method for gas overrun of a coal roadway tunneling working face of the present application is based on the above-mentioned intelligent prediction system for gas overrun of a coal roadway tunneling working face, which includes a gas concentration early warning method and a while-drilling ground stress measurement early warning method, and the gas concentration early warning method includes the following contents:

[0062] S1, constructing cross-layer drilling holes in the high drainage roadway of the coal seam, and obtaining real-time gas monitoring data in the coal roadway tunneling working face (including the range of 15 m outside the two roadway contour lines) and the gas monitoring data of at least three advanced drilling fields 6; the advanced drilling field 6 is the drilling field of the current tunneling machine; the gas concentration interval of the single-hole gas precision metering data is 0-100%;

[0063] S2, extracting the current gas monitoring value M t and the gas monitoring data of the time period before the current time T 1 , T 2 ;

[0064] The time period T 1 is 15-20 min; the time period T 2 is determined according to the working face advancing speed;

[0065] S3, according toT 1 time period of gas monitoring data, the gas concentration analysis module calculates the index N t ;

[0066] Index N t is the average value of the gas monitoring data in the T1 time period before the current moment, and the calculation method is:

[0067] ;

[0068] Gas short-term overrun early warning threshold N 0 Take the current moment before T 1 time period of the index N t If the index N t is greater than N 0, a gas overrun short-term early warning for 10-15 minutes is carried out; this step is repeatedly carried out, and if the gas overrun short-term early warning is accumulated for 2 times or more times in succession, a gas electrical lockout operation is immediately implemented;

[0069] S4, according to T 2 time period of gas monitoring data, the gas concentration analysis module calculates the index P t ;

[0070] Index P t is the average value of the gas monitoring data in the T1 time period before the current moment, and the calculation method is: T 2 time period of gas monitoring data, the calculation method is:

[0071] ;

[0072] Wherein, y i is T 2 time period of gas monitoring data at different moments; v is the working face advancing speed; l is the working face advancing distance, generally 30-50 m;

[0073] S5, when the index N t is greater than the threshold value N 0, a gas overrun short-term early warning is carried out; when the gas monitoring value M t is greater than the threshold value M 0, a gas overrun emergency early warning is carried out;

[0074] Threshold valueM 0 take the current time before T 2 the average value of gas monitoring data of the time period P t 200%, that is, the average value of gas concentration is 25%, threshold M 0 take 50%, threshold M 0 The calculation method is:

[0075] ;

[0076] If M t greater than M 0, the gas over-limit emergency warning is carried out, and the gas electric lock operation is immediately implemented;

[0077] S6, with the advancement of the tunneling working face, repeat steps 1 to 5 to dynamically and real-time warn the working face gas over-limit.

[0078] In this embodiment 1, T 1 take 15 min, T 2 take 2 days, and calculate N t =18.8%, P t =20.15%, M t =16.2%, M 0=40.3%.

[0079] The ground stress measurement while drilling warning includes the following contents:

[0080] S1, drill a layer-penetrating borehole in a high drainage roadway in a coal seam, and obtain ground stress monitoring data Z in the tunneling roadway and the roadway to be excavated (including the range of 15 m outside the two roadway contour lines) and at least 3 drill sites ahead in real time, extract T 1, T 2 ground stress monitoring data while drilling in the time period of the coal seam roof rock, and collect drill cuttings; the time period T 1 is 15~20 min; the time period T 2 is determined according to the working face advancing speed;

[0081] S2, constantly repeat step S2 with the advancement of the tunneling roadway;

[0082] According to T 2 the ground stress monitoring data of the time period, calculate the in-situ ground stress α t through the ground stress analysis module, and send the above indexes to the ground for backup;

[0083] When the rock stratum stress monitoring data Z of the rock stratum to be measured is greater than a threshold value α 0, a gas overrun emergency early warning is performed, and after the early warning is triggered, a gas electrical interlocking operation is immediately implemented; α t and α The calculation method is:

[0084] ;

[0085] wherein, z i is T 2 The rock stratum stress monitoring data of different drill holes in the time period; v is the working face advancing speed; l is the working face advancing distance.

[0086] In this embodiment 1, it is calculated that: a t = 11.1 MPa, α 0 = 22.2 MPa.

[0087] In the process of working face tunneling, the hole arrangement position of the extraction drill hole is the entire tunneling roadway 1 and the tunnel to be excavated 4 (including a range of 15 m outside the contour lines of the two roadways), and the installation position of the gas overrun intelligent early warning system of this embodiment is all the through-hole drill holes within a range of 3 drill fields ahead of the current tunneling head position. After the tunneling machine advances to the position of the drill field, the gas overrun comprehensive intelligent early warning analysis system can be disassembled and moved to the drill field in front, so that the gas overrun comprehensive intelligent early warning analysis system always covers all the through-hole drill holes within a range of 3 drill fields ahead of the current tunneling machine position.

[0088] When multiple high-extraction roadway through-hole drill holes are constructed to measure the stress while drilling, the distance between the drill holes should be large enough to avoid the influence of the construction drill hole on other adjacent drill holes. In order to improve the accuracy of the stress while drilling monitoring data, the Xi is separately tested and verified. Embodiment 2

[0089] Referring to Figures 6-8 , Figure 6 A layout diagram of the drill field inside a kind of intelligent prediction system for gas overrun of coal roadway tunneling working face is drawn. As shown in the figure, the intelligent prediction system for gas overrun of coal roadway tunneling working face of this embodiment 2 is different from embodiment 1 in that:

[0090] In this embodiment 2, the through-hole drill hole 3 is constructed from the drill field 2 of the bottom extraction roadway 14 to the tunneling roadway 1 arranged in the coal seam 7 using the directional drilling machine 10, and the hole arrangement position is the entire tunneling roadway 1 and the tunnel to be excavated 4 (including a range of 15 m outside the contour lines of the two roadways).

[0091] Working principle:

[0092] The intelligent prediction system and method for gas overrun of coal roadway tunneling working face provided by the application, in combination with single-hole gas metering data and drilling ground stress data, cooperatively warns the gas overrun accident of the coal roadway tunneling working face; a high extraction roadway or a bottom extraction roadway (gas pre-extraction roadway) is used to drill a through-hole drilling hole to the coal roadway tunneling working face, drilling holes are arranged within a range of 15 m from both sides of the tunneling roadway and at least 3 drill fields ahead of the tunneling roadway; single-hole gas data and ground stress drilling data of the coal roadway tunneling working face are acquired in real time, the gas overrun threshold is fitted and analyzed through a gas concentration analysis module and a ground stress analysis module and compared with real-time monitoring data, and then a gas overrun warning module is used to cooperatively warn the gas overrun accident of the coal roadway tunneling working face.

[0093] The above is only a specific application example of the application, and does not constitute any limitation on the protection scope of the application. Any technical solution formed by equivalent transformation or equivalent replacement falls within the protection scope of the application.

Claims

1. An intelligent prediction method for gas overrun at a coal roadway driving face, characterized in that: The application discloses an intelligent prediction system for gas overrun of a coal roadway driving face, and the intelligent prediction system comprises a data acquisition module, a gas concentration analysis module (12), a ground stress analysis module (11) and a gas overrun early warning module (13). The data acquisition module collects single-hole precision measurement data of gas extraction boreholes and ground stress while-drilling measurement data during driving of the working face. The gas concentration analysis module (12) and the ground stress analysis module (11) perform corresponding fitting analysis on the collected single-hole precision measurement data of the gas extraction boreholes and the ground stress while-drilling measurement data, and obtain gas and ground stress early warning indexes. The gas overrun early warning module (13) gives a coordinated early warning of gas overrun accidents during driving according to the fitting results. The data acquisition module is used for collecting monitoring data and providing early warning basic data for the remaining modules. The data acquisition module comprises a single-hole gas precision measurement instrument (8) and a while-drilling ground stress measurement instrument (9), and is connected with the corresponding analysis modules through wireless sensors. The drilling machine (10) is connected with the gas overrun early warning module (13), the gas overrun early warning module (13) is connected with the ground stress analysis module (11) and the gas concentration analysis module (12) respectively, the ground stress analysis module (11) is connected with each while-drilling ground stress measurement instrument (9), and the gas concentration analysis module (12) is connected with each single-hole gas precision measurement instrument (8). The pre-extraction roadway is a high roadway or a bottom roadway, a drilling machine (10) is used in a drilling field (2) of the pre-extraction roadway to construct a through-hole borehole (3) in a driving roadway (1) arranged in a coal seam (7), and all through-hole boreholes (3) within a range of 3 drilling fields ahead of a current driving head are provided with single-hole gas precision measurement instruments (8) and while-drilling ground stress measurement instruments (9). The intelligent prediction method comprises the following steps. Step one, collecting data of the borehole; A through-hole borehole is constructed in the pre-extraction roadway of the coal seam, single-hole gas data and ground stress monitoring data of at least 3 drilling fields ahead of a current driving machine in the whole driving roadway are obtained in real time, and drilling cuttings are collected. Step two, extracting gas monitoring data and ground stress while-drilling monitoring data; Extracting the current time gas monitoring value M t Index N Before the current time T 1、 T 2 Time period of gas monitoring data, extracting coal seam roof rock mass ground stress while drilling monitoring data; Step three, calculating the index N t ; according to T 1 Gas monitoring data over a specific time period; gas concentration analysis module calculates indicators. N t ; Index N t This represents the average value of gas monitoring data over the time period T1 prior to the current moment. Step five, judging early warning; t The calculation method is as follows: ； Step four, calculation of the index P t and in situ stress α t ; According to T 2 The gas monitoring data of the time period, the gas concentration analysis module calculates an index P t , the index P t for the time before the current time T 2 The average value of the gas monitoring data of the time period, the index P t The calculation method is: ； wherein, y i is T 2working face gas monitoring data at different time in a time period; v is a working face advancing speed; l is a working face advancing distance; According to T 2 The in-situ ground stress is calculated by the ground stress analysis module according to the ground stress monitoring data of the time period α t The index data is sent to the ground for backup. The in-situ ground stress α t The calculation method is: ； The gas concentration analysis module (12) is used for analyzing variation of gas concentration characteristics of the driving roadway in real time, predicting a gas concentration sequence of the driving roadway in a future period of time, obtaining a real-time variation curve of ultra-low gas concentration, a prediction curve of variation of the gas concentration and a maximum value of future gas concentration, and obtaining a prediction index of the gas concentration. Gas short-term overrun warning threshold N 0 Take the current time before T 1 Indicator of time period N t Threshold value M 0 Take the current time before T 2 Gas monitoring data average value of time period P t 200% of the current time, that is Threshold value α 0 The calculation method is: ； wherein, z i is T 2 in-situ stress monitoring data of different boreholes in the time period; v is a working face advancing speed; l is a working face advancing distance; When the index N t is greater than the threshold value N 0 , the gas overrun early warning module performs short-term early warning of gas overrun; when the gas monitoring value M t is greater than the threshold value M 0, emergency early warning of gas overrun is performed; When the measured rock stratum ground stress monitoring data Z is greater than a threshold value α 0, gas overrun emergency warning is carried out; after triggering the warning, gas electric lockout operation is immediately implemented.

2. The intelligent prediction method for gas overrun of a coal roadway tunneling face according to claim 1, characterized in that: The ground stress analysis module (11) is used for analyzing variation of ground stresses of hard rock and soft rock, combining drilling machine output energy, drilling cutting amount and drilling cutting particle size distribution in a drilling process, calculating in-situ ground stress sizes of the hard rock and the soft rock, obtaining an in-situ ground stress variation curve and a prediction curve and a maximum value of future ground stress, and obtaining a prediction index of the while-drilling ground stress. The gas overrun early warning module (13) performs gas overrun risk identification according to the gas concentration analysis module (12) and the ground stress analysis module (11), and gives an early warning result of a size of the gas overrun risk. ​ 3. The intelligent prediction method for gas overrun of a coal roadway tunneling face according to claim 1, characterized in that: The hole arrangement position of the through-layer borehole (3) is the entire tunneling roadway (1) and the roadway to be excavated (4), including the range within 15 m outside the profile lines of the tunneling roadway (1) and the roadway to be excavated (4).

4. The intelligent prediction method for gas overrun of a coal roadway tunneling face according to claim 3, characterized in that: The hole arrangement spacing of the through-layer borehole (3) is 2R, R being the borehole extraction radius.

5. The intelligent prediction method for gas overrun of a coal roadway tunneling face according to claim 3, characterized in that: A drill site (2) is arranged every 4-6 rows of through-layer boreholes (3), and the spacing between each drill site (2) is not more than 10 m.

6. The intelligent prediction method for gas overrun of a coal roadway tunneling face according to claim 3, characterized in that: The single-hole gas precision metering instrument (8) is arranged at the middle part of the through-layer borehole (3), and the while-drilling ground stress measuring instrument (9) is arranged on the coal seam (7).

7. The intelligent prediction method for gas overrun of a coal roadway tunneling face according to claim 1, characterized in that: Time period T 1 Take 15~20 min; Time period T 2 According to the working face advancing speed.

8. The intelligent prediction method for gas overrun of a coal roadway tunneling face according to claim 1, characterized in that: If the index in step five N t greater than N 0, a gas over-limit short-term early warning for 10-15 min is carried out; this step is repeatedly repeated, if the gas over-limit short-term early warning is accumulated for 2 times and more, a gas electric lockout operation is immediately implemented; if the current gas monitoring value M t greater than M 0, a gas over-limit emergency early warning is carried out, and a gas electric lockout operation is immediately implemented.

9. The intelligent prediction method for gas overrun of a coal roadway tunneling face according to claim 1, characterized in that: The gas concentration interval of the single-hole gas precision metering data acquisition is 0-100%.

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