Coal and gas outburst risk continuous prediction while drilling method based on coupling of drilling torque and drilling speed

Abstract

The application provides a coal and gas outburst danger continuous prediction method based on drilling torque and drilling speed coupling, and the method comprises the following steps: arranging a while-drilling multi-parameter monitoring device, stably drilling in a non-outburst danger section of a target coal seam, and determining a reference torque, drilling speed, rotating speed and unit footage broken energy consumption; in the drilling process of the predicted borehole, synchronously and continuously collecting real-time rotary torque, instantaneous drilling speed and rotating speed at each hole depth; calculating real-time unit footage broken energy consumption based on the preprocessed data, comparing the real-time data with corresponding reference values respectively, and according to the relationship between the comparison results and a preset threshold multiple, dividing a current hole section into a non-outburst danger section, an outburst threat section or an outburst danger section; when the outburst danger section exists, an alarm signal is sent and an outburst elimination measure is performed. The method can realize continuous dynamic prediction of the whole hole depth of the borehole, eliminate a traditional segmented sampling blind area, and improve prediction accuracy and real-time early warning capability.

Description

Technical Field

[0001] This application relates to the field of advanced prediction technology for coal and gas outbursts, and in particular to a method for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed. Background Technology

[0002] Coal and gas outbursts are major dynamic hazards in coal mines, and their prediction technology is crucial for ensuring safe production. During drilling operations at the tunneling face, relevant technologies have constructed a segmented sampling prediction system through the synergistic analysis of multiple parameters. Specifically, this system covers the entire process from drilling to sampling and testing, including key aspects such as drill cuttings collection, desorption testing, and index calculation.

[0003] However, the segmented sampling prediction methods in related technologies directly adopt the method of stopping drilling every meter for sampling, which does not achieve continuous monitoring throughout the entire hole. This may lead to the omission of faults, soft strata, and other structural zones, or the lag of early warnings behind dynamic manifestations, thus affecting the accuracy of predictions and operational efficiency. At the same time, the monitoring-while-drilling technologies in related technologies mostly rely on torque or gas emission rate for identification. Torque alone is affected by manual drilling pressure adjustment, and drilling rate alone cannot distinguish between low-stress soft coal and high-stress dangerous structural coal. The misjudgment rate of single indicators is high, and there is a lack of a unified normalized coupling model to eliminate human operation disturbances.

[0004] Therefore, there is an urgent need for a continuous drilling prediction method that integrates multiple dynamic parameters to determine the risk of coal outburst in real time. Summary of the Invention

[0005] This application aims to at least partially address one of the technical problems in the related art.

[0006] Therefore, the first objective of this application is to propose a method for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed.

[0007] The second objective of this application is to propose a continuous prediction system for coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed.

[0008] The third objective of this application is to propose an electronic device.

[0009] The fourth objective of this application is to provide a computer-readable storage medium.

[0010] To achieve the above objectives, the first aspect of this application is to propose a method for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling rate, comprising the following steps: By deploying multi-parameter monitoring equipment while drilling, stable drilling is carried out in the non-outburst-risk section of the target coal seam to determine the benchmark torque, benchmark drilling speed and benchmark rotation speed, and the benchmark unit footage crushing energy consumption is calculated based on the benchmark torque, benchmark drilling speed and benchmark rotation speed. During the predictive drilling process, real-time rotary torque, real-time instantaneous drilling speed and real-time rotary speed at each hole depth are collected simultaneously and continuously, and the collected raw data are pre-processed for noise reduction. The real-time unit footage breaking energy consumption is calculated based on the pre-processed data, and the real-time slewing torque, the real-time instantaneous drilling speed and the real-time unit footage breaking energy consumption are compared with the corresponding benchmark values. According to the relationship between the comparison results and the preset threshold multiple, the current hole section is divided into a no-protrusion danger zone, a protrusion threat zone or a protrusion danger zone. When the aforementioned dangerous protrusion zone is determined to exist, an alarm signal is issued and protrusion suppression measures are implemented. After the protrusion suppression is completed, drilling is retested while drilling, and drilling resumes after the parameters fall back to the safe range.

[0011] To achieve the above objectives, the second aspect of this application also proposes a continuous prediction system for coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed, comprising the following modules: The benchmark module is used to determine the benchmark torque, benchmark drilling speed and benchmark rotation speed by deploying multi-parameter monitoring equipment while drilling in the non-outburst danger section of the target coal seam, and to calculate the benchmark unit footage crushing energy consumption based on the benchmark torque, benchmark drilling speed and benchmark rotation speed. The data acquisition module is used to simultaneously and continuously acquire real-time rotary torque, real-time instantaneous drilling speed and real-time rotary speed at various depths of the borehole during the drilling process of the predictive borehole, and to perform noise reduction preprocessing on the acquired raw data. The determination module is used to calculate the real-time unit footage breaking energy consumption based on the preprocessed data, and compare the real-time slewing torque, the real-time instantaneous drilling speed and the real-time unit footage breaking energy consumption with the corresponding benchmark values ​​respectively. According to the relationship between the comparison results and the preset threshold multiple, the current hole section is divided into a no-protrusion danger zone, a protrusion threat zone or a protrusion danger zone. The execution module is used to issue an alarm signal and implement anti-outburst measures when the existence of the outburst danger zone is determined, and to perform drilling retest after the outburst is eliminated and the drilling resumes after the parameters fall back to the safe range.

[0012] To achieve the above objectives, a third aspect of this application also provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the continuous prediction method for coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed as described in any one of the first aspects above.

[0013] To achieve the above objectives, the fourth aspect of this application also proposes a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed as described in any of the first aspects above.

[0014] The technical solution provided by the embodiments of this application brings at least the following beneficial effects: This application performs continuous full-hole prediction during drilling, eliminating the need for frequent drilling stops for sampling, improving tunneling efficiency, providing strong prediction continuity, and eliminating monitoring blind spots. Furthermore, the composite energy consumption index eliminates human disturbances related to drilling pressure and rotation speed, reducing prediction error rates and significantly improving prediction accuracy. Moreover, this application simultaneously reflects the dual risks of ground stress and gas, overcoming the shortcomings of traditional indicators that only characterize gas and lack stress monitoring, making it suitable for deep, high-stress outburst coal seams. Therefore, this application can achieve continuous dynamic prediction throughout the entire hole, eliminating monitoring blind spots of traditional segmented sampling, and eliminating human operational interference through torque-drilling-speed coupled composite energy consumption indicators, significantly improving prediction accuracy and field adaptability.

[0015] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0016] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 A flowchart illustrating a method for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed, as proposed in an embodiment of this application. Figure 2 This application provides a specific method for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed. Figure 3 This is a schematic diagram of a continuous prediction system for coal and gas outburst risk based on the coupling of drilling torque and drilling speed, as proposed in an embodiment of this application. Detailed Implementation

[0017] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0018] The following description, with reference to the accompanying drawings, describes a method and system for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed, as proposed in the embodiments of this application.

[0019] Example 1 Figure 1 This is a flowchart of a method for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed, as proposed in an embodiment of this application. Figure 1 As shown, the method includes the following steps: Step S101: By deploying multi-parameter monitoring equipment while drilling, stable drilling is carried out in the non-outburst-risk section of the target coal seam to determine the benchmark torque, benchmark drilling speed and benchmark rotation speed, and the benchmark unit footage breaking energy consumption is calculated based on the benchmark torque, benchmark drilling speed and benchmark rotation speed.

[0020] Specifically, in the continuous prediction of coal and gas outburst risk during drilling in this application, a localized benchmark parameter system for subsequent judgment needs to be established first. In practice, a complete coal section without outburst risk is selected in the target coal seam, and drilling operations are conducted under stable drilling conditions. Dynamic parameters such as slewing torque, instantaneous drilling speed, and slewing rotation speed are collected simultaneously and continuously during this process. The collected raw data needs to be filtered to eliminate noise interference introduced by non-coal body fracturing factors such as mechanical vibration and drill pipe friction, thereby obtaining a stable data segment that truly reflects the normal fracturing characteristics of the coal seam. Based on this stable data segment, benchmark slewing torque, benchmark instantaneous drilling speed, and benchmark slewing rotation speed, representing the normal drilling state of the coal seam, are determined respectively.

[0021] Furthermore, based on the determined benchmark torque, benchmark drilling speed, and benchmark rotation speed, the benchmark energy consumption per unit length of coal cutting is calculated through a predetermined energy consumption model. This energy consumption model couples three parameters: torque, rotation speed, and drilling speed. Its physical meaning is to characterize the rotational energy consumed by the drill bit in breaking a unit length of coal, thereby providing a normalized comparison benchmark for subsequent real-time judgment.

[0022] As one possible implementation, a primary hard coal section can be selected at the working face, and drilling can be performed at a constant drilling pressure and rotation speed to a certain depth. After performing moving average filtering on the collected torque, drilling speed, and rotation speed data, the average value of the stable section can be taken as the reference torque, reference drilling speed, and reference rotation speed, and then substituted into the formula. Calculate the energy consumption per unit feed of crushing, where, EEnergy consumption per unit of crushing advance. T For torque, n For rotational speed, v This refers to the drilling speed.

[0023] Therefore, by establishing localized benchmark parameters through the above steps, the interference of differences in the physical and mechanical properties of different coal seams, as well as factors such as drilling rig model and operating habits, on subsequent judgments can be eliminated, providing a unified reference scale for continuous prediction of the entire borehole, thereby significantly improving the accuracy of judgments and on-site adaptability.

[0024] Step S102: During the drilling process of the predicted borehole, the real-time rotary torque, real-time instantaneous drilling speed and real-time rotary speed at each depth of the borehole are collected synchronously and continuously, and the collected raw data are preprocessed for noise reduction.

[0025] Specifically, during the drilling process of the predicted borehole, this application synchronously and continuously collects real-time slewing torque, real-time instantaneous drilling speed, and real-time slewing rotation speed at each depth of the borehole. These parameters are the basic input data for subsequent hazard assessment. To ensure the accuracy and reliability of the collected data, the raw monitoring data must be pre-processed to reduce noise and abnormal signals introduced during drilling due to factors such as mechanical vibration, non-uniform contact between the drill bit and the coal body, and operational disturbances.

[0026] The preprocessing step aims to identify and remove abrupt noise from the raw data stream caused by abnormal drilling conditions such as idling, drill bit lifting, and drastic adjustments to drill pressure. It also smooths continuous torque and drill speed curves to suppress high-frequency interference such as mechanical vibration pulses, and removes data generated by invalid drilling states such as stagnation. Through these processes, an effective data sequence that accurately reflects changes in the physical and mechanical properties of the coal seam can be obtained, providing a reliable data foundation for subsequent hazard classification based on this data.

[0027] As one possible implementation, the noise reduction preprocessing may specifically include: removing abrupt noise data caused by idling, drilling, and drastic adjustment of drilling pressure; smoothing the torque and drilling speed curves using moving average filtering to eliminate mechanical vibration pulse interference from the drilling rig; and simultaneously removing invalid data where the drilling speed is lower than a preset stagnation threshold (e.g., 0.1 m / min).

[0028] Therefore, this step, through synchronous continuous acquisition and noise reduction preprocessing, ensures that the input data on which subsequent hazard determination depends has a high degree of real-time performance, continuity, and accuracy, effectively avoiding misjudgments and omissions caused by data noise or acquisition interruptions, and laying a solid data foundation for building a high-precision drilling prediction model.

[0029] Step S103: Calculate the real-time unit footage breaking energy consumption based on the preprocessed data, and compare the real-time slewing torque, real-time instantaneous drilling speed and real-time unit footage breaking energy consumption with the corresponding benchmark values. Based on the comparison results relative to the preset threshold multiple, divide the current hole section into a no-protrusion danger zone, a protrusion threat zone or a protrusion danger zone.

[0030] Specifically, during the predicted drilling process, a composite index is constructed based on the real-time slewing torque, real-time instantaneous drilling speed, and real-time slewing rotation speed obtained after noise reduction preprocessing. This composite index comprehensively reflects the energy consumed by the drill bit in breaking the coal body, namely, the real-time energy consumption per unit depth of drilling. By coupling the three dynamic parameters of torque, drilling speed, and rotation speed, this composite index effectively eliminates the operational disturbances caused by manual adjustment of drilling pressure or rotation speed of a single parameter, thereby more accurately characterizing the breaking resistance and energy consumption characteristics of the coal body during drilling.

[0031] Then, the calculated real-time energy consumption per unit footage of breaking material, along with the real-time slewing torque and real-time instantaneous drilling speed, are compared with pre-calibrated benchmark torque, benchmark drilling speed, and benchmark energy consumption per unit footage of breaking material to obtain the relative ratios of each parameter. Based on the relationship between these relative ratios and preset threshold multiples, the hazard level of the current borehole section is classified and determined.

[0032] For example, when the relative ratio of all parameters is lower than the first-level threshold multiple, it is determined that there is no prominent danger; when the relative ratio of all parameters is between the first-level threshold multiple and the second-level threshold multiple, it is determined to be a prominent threat zone; when the relative ratio of any parameter reaches or exceeds the second-level threshold multiple, or when dynamic manifestation characteristics such as drastic fluctuations or abnormal mutations of parameters occur, it is determined to be a prominent danger zone.

[0033] As one possible implementation method, the formula for calculating the real-time unit feed crushing energy consumption is: ,in, E Energy consumption per unit of crushing advance. T For real-time rotational torque, n For real-time rotational speed, v This is the real-time instantaneous drilling rate. The preset threshold multiple can be determined based on the localized calibration results of the target coal seam. For example, the first-level threshold multiple can be set to 1.3 to 1.5 times the benchmark value, and the second-level threshold multiple can be set to 1.5 to 1.8 times the benchmark value. The specific values ​​are calibrated through comparative tests based on the actual geological conditions of the mine and the drilling rig model.

[0034] Therefore, this step, by constructing a composite energy consumption index coupled with torque and drilling speed, and by comparing the relative ratios of multiple parameters with preset threshold multiples, achieves continuous, real-time, and quantitative judgment of the protruding dangers of the entire borehole section. This significantly improves the continuity and accuracy of prediction, eliminates the risk of misjudgment caused by human interference with a single index, and provides clear grading and early warning basis for the field, facilitating timely implementation of targeted prevention and control measures.

[0035] Step S104: When a dangerous outburst zone is determined to exist, an alarm signal is issued and outburst suppression measures are implemented. After the outburst suppression is completed, drilling is retested while drilling. Drilling resumes after the parameters fall back to the safe range.

[0036] Specifically, when the current borehole section is determined to be in a dangerous zone, the system automatically triggers an alarm signal. This alarm signal is used to alert on-site personnel to immediately take preset emergency response procedures. The alarm signal can take the form of one or more combinations of audible and visual alarms, remote terminal prompts, or automatic power cutoff of the drilling rig to ensure that information can be received in a timely and reliable manner.

[0037] Simultaneously with issuing the alarm signal, outburst mitigation measures are implemented. These measures aim to reduce or eliminate the outburst hazard of the coal seam ahead of the working face. Specific measures may include, but are not limited to: stopping drilling, cutting off power, evacuating personnel to a safe area, and conducting depressurization drilling and gas extraction operations. After the outburst mitigation measures are completed, the dynamic parameters of the target borehole section must be re-measured. This involves re-collecting the real-time slewing torque, instantaneous drilling speed, and slewing rotation speed of the borehole section according to the steps outlined in this method, calculating the real-time energy consumption per unit advance, and comparing the re-measured dynamic parameters with the corresponding baseline values ​​and safety thresholds. Only when all re-measured parameters fall back to the preset safe range (i.e., all parameters are below the corresponding safety threshold) can the outburst mitigation measures be deemed effective, and drilling operations can be resumed. If the re-measured parameters are still within the danger range, outburst mitigation measures must be continued or strengthened until the parameters meet safety requirements.

[0038] As one possible implementation method, after the danger zone is identified, the system can automatically cut off the drilling rig's propulsion power and issue a strong red audible and visual alarm. All personnel should immediately evacuate to a fresh airflow area. Subsequently, pressure relief drilling should be carried out on the danger section and the gas emission time should be extended. After the gas outburst is eliminated, the same method should be used again for re-testing while drilling. Drilling can only resume after parameters such as energy consumption per unit footage have returned to the safe range.

[0039] Therefore, this step, through the linkage mechanism of alarm and outburst elimination, realizes immediate response and proactive management of outburst hazards, avoiding the continuation or deterioration of dangerous conditions; the retesting step after outburst elimination ensures the verifiability of the management effect and prevents secondary accidents caused by blindly resuming drilling, thereby significantly improving the safety assurance capability of the drilling prediction method and the closed-loop controllability of on-site operations.

[0040] The following describes in detail the specific implementation process of each step in the method for continuous prediction of coal and gas outburst risk based on the coupling of drilling torque and drilling speed proposed in this application, using several specific embodiments.

[0041] Example 2 Based on the above embodiments, this embodiment provides a detailed description of the specific implementation of step S101, which involves "deploying multi-parameter monitoring equipment while drilling to perform stable drilling in the non-outburst-risk section of the target coal seam, determining the reference torque, reference drilling speed, and reference rotation speed, and calculating the reference unit footage breaking energy consumption based on the reference torque, the reference drilling speed, and the reference rotation speed".

[0042] In this embodiment, the calibration process of the benchmark parameters is carried out. First, a complete original hard coal section without outburst risk is selected as the calibration area in the tunneling face. The coal body structure in this area is intact, without structural fracture zones and has low gas content, which can represent the mechanical properties of the target coal seam under normal conditions.

[0043] Subsequently, the operators drove the drilling rig at a constant speed with stable drilling pressure and a constant slewing speed, ensuring that the drilling length reached a preset length, such as more than 2 meters, to guarantee the collection of sufficient stable data for subsequent analysis. During the drilling process, the mining explosion-proof drilling monitoring system synchronously and continuously collected the slewing torque within the calibration section through a slewing torque sensor, displacement encoder, and speed sensor. T Instantaneous drilling speed v and rotational speed n The raw data is first filtered, specifically using a moving average filtering algorithm to remove pulse noise caused by drilling rig mechanical vibration, local unevenness of the coal body, or operational disturbances, thereby obtaining a smooth and stable data sequence.

[0044] Next, the arithmetic mean of the stable data sequence is calculated to obtain the reference torque. T 0. Baseline drilling speed v 0 and reference speed n 0. After obtaining the above three benchmark parameters, substitute them into the calculation formula for energy consumption per unit feed in crushing, i.e. The energy consumption per unit feed of crushing was calculated. E0. This benchmark parameter calibration process provides a localized reference standard that eliminates human interference for subsequent real-time monitoring and classification, ensuring the adaptability and accuracy of the prediction method under different coal seams and drilling rig models.

[0045] This embodiment selects a native hard coal section without prominent danger for stable drilling and filters to obtain the average value, which effectively eliminates the influence of mechanical vibration and human operation disturbance on the benchmark parameters. This ensures the accuracy and representativeness of the benchmark torque, benchmark drilling speed, benchmark rotation speed and benchmark energy consumption, and provides a reliable and localized reference benchmark for subsequent three-level hazard classification based on threshold multiples. This significantly improves the field adaptability and prediction accuracy of the prediction method.

[0046] Example 3 Based on the above embodiments, this embodiment provides a detailed description of the specific implementation of step S102, which involves "simultaneously and continuously collecting real-time rotary torque, real-time instantaneous drilling speed, and real-time rotary rotation speed at various hole depths during the predicted drilling process, and performing noise reduction preprocessing on the collected raw data."

[0047] In this embodiment, during the uniform and stable drilling process, a set of real-time rotational torques is synchronously collected by an explosion-proof data terminal at sampling intervals of 0.1 meters of hole depth. T Real-time instantaneous drilling speed v and real-time rotation speed n The raw data is collected from the input sources of a rotary torque sensor, a displacement encoder, and a speed sensor installed on the drilling rig. The processing action is to trigger synchronous sampling every 0.1 meters of drilling, and the output result is a set of raw data that corresponds one-to-one with the current hole depth coordinates.

[0048] Subsequently, the data terminal binds these raw data with the corresponding borehole depth coordinates and records them in the local storage medium in real time, forming a raw monitoring data sequence with borehole depth labels.

[0049] Next, the raw data undergoes noise reduction preprocessing. The first step is to remove abrupt noise points caused by idling, drilling, and drastic drill pressure adjustments. The input is the original monitoring data sequence, and the processing involves identifying and removing abnormal data points caused by abnormal drilling conditions by setting reasonable thresholds for torque and drilling speed change rates. The output is a pre-cleaned data sequence. The second step uses a moving average filtering algorithm to smooth the torque and drilling speed curves to eliminate pulse interference caused by drilling rig mechanical vibration. The input is the pre-cleaned data sequence, and the processing involves selecting a preset window length (e.g., 5 sampling points) to perform a moving average on the data. The output is a smoothed torque and drilling speed data sequence. The third step removes stagnant and invalid data with drilling speeds less than 0.1 m / min. The input is the smoothed data sequence, and the processing involves identifying and removing sampling points with drilling speeds below this threshold and their corresponding torque and rotational speed data. The output is the final pre-processed valid data sequence used for subsequent calculations. In addition, during the noise reduction preprocessing, when a brief stuck drill or drilling advance / retreat action is detected, the system will automatically mark the hole segments corresponding to these abnormal working conditions. Its input is the preprocessed valid data sequence and the original working condition record. The processing action is to identify abnormal working conditions based on features such as sudden changes in drilling speed and torque pulses. The output is data segments marked with abnormal working conditions, so as to distinguish between normal drilling data and abnormal disturbance data in subsequent analysis.

[0050] This embodiment effectively eliminates the interference of mechanical vibration, human operation and abnormal working conditions on the original monitoring data through refined data acquisition and noise reduction preprocessing, ensuring the data quality input to the subsequent energy consumption calculation and classification judgment stages, thereby significantly improving the accuracy and reliability of the prediction results.

[0051] Example 4 Based on the above embodiments, this embodiment provides a detailed description of the specific implementation of step S103 above, which involves "calculating the real-time unit footage breaking energy consumption based on the pre-processed data, comparing the real-time slewing torque, the real-time instantaneous drilling speed, and the real-time unit footage breaking energy consumption with the corresponding benchmark values, and dividing the current hole section into a non-protruding danger zone, a protruding threat zone, or a protruding danger zone according to the relationship between the comparison results and the preset threshold multiples".

[0052] In this embodiment, firstly, the real-time monitoring data after noise reduction preprocessing is normalized using a continuous 0.5-meter borehole segment as the smallest judgment unit. Specifically, the average real-time rotational torque within each judgment unit is normalized. T Average real-time instantaneous drilling rate v and average real-time crushing energy consumption per unit feed E Divide by the reference torque determined in step S101 respectively T 0. Baseline drilling speed v0 and benchmark unit feed crushing energy consumption E 0, thus obtaining the dimensionless relative value of torque. T / T 0. Relative value of drilling speed v / v 0 and relative energy consumption E / E 0. Among them, the real-time unit feed crushing energy consumption... E The calculation formula is In the formula E Energy consumption per unit of crushing advance. n For real-time rotational speed, T For real-time rotational torque, v This represents the real-time instantaneous drilling speed.

[0053] Subsequently, the calculated relative values ​​of torque, drilling speed, and energy consumption are compared item by item with preset threshold multiples for the threat zone and the outburst danger zone. In this embodiment, the threshold multiples for the threat zone are set as follows: relative torque greater than or equal to 1.4 and less than 1.8, relative drilling speed greater than or equal to 1.3 and less than 1.5, and relative energy consumption greater than or equal to 1.4 and less than 1.7; the threshold multiples for the outburst danger zone are set as follows: relative torque greater than or equal to 1.8, relative drilling speed greater than or equal to 1.5, and relative energy consumption greater than or equal to 1.7.

[0054] Furthermore, based on the comparison results, the current 0.5-meter borehole section is divided into three danger levels. A danger level is determined when the relative values ​​of torque, drilling speed, and energy consumption are all below a multiple of the threshold for the threat zone. T / T 0<1.4、 v / v 0 < 1.3 and E / E If 0 < 1.4, the borehole section is considered to have no protrusion hazard. When all three criteria (1.4 ≤ 1.4) reach the threshold multiple of the threat zone but not the threshold multiple of the protrusion hazard zone, the condition is considered met. T / T 0 < 1.8, 1.3 ≤ v / v 0 < 1.5 and 1.4 ≤ E / E If 0 < 1.7, the borehole segment is determined to be a protruding threat zone. A borehole segment is determined to be a protruding danger zone when any of the following conditions are met: First, all three conditions reach a multiple of the protruding danger zone threshold, i.e., they are simultaneously satisfied. T / T 0≥1.8、 v / v 0 ≥ 1.5 and E / E0 ≥ 1.7; secondly, the relative torque value continuously and violently pulsates, while the relative drilling speed value fluctuates wildly, accompanied by a sudden increase in borehole gas emission; thirdly, the relative torque value rapidly increases and then drops sharply, while the relative drilling speed value returns to zero, and signs of impending power problems such as stuck drill, drill bit failure, or powder spraying appear. This judgment result serves as the input for step S104, triggering corresponding alarms and handling measures.

[0055] This embodiment significantly improves the objectivity and accuracy of the prediction method by introducing normalized relative value comparison and a three-level classification judgment mechanism. Its beneficial effects are as follows: First, by using a continuous 0.5-meter borehole segment as the smallest judgment unit, continuous dynamic monitoring of the entire borehole depth is achieved, eliminating the blind spots of traditional segmented sampling prediction. Second, by normalizing real-time parameters with localized benchmark values, systematic deviations caused by different drilling rig models, different operators, and different coal seam conditions are effectively eliminated, improving the method's universality. Finally, based on the coupled threshold comparison of torque, drilling speed, and energy consumption, and combined with dynamic manifestation characteristics for comprehensive judgment, outburst hazard zones can be identified more reliably, reducing the risk of misjudgment based on a single indicator and providing a clear basis for timely outburst mitigation measures on-site.

[0056] Example 5 Based on the above embodiments, this embodiment provides a detailed description of the specific implementation of step S104: "When it is determined that the protrusion danger zone exists, an alarm signal is issued and the protrusion elimination measures are implemented. After the protrusion elimination is completed, the drilling is retested while drilling, and drilling is resumed after the parameters fall back to the safe range."

[0057] In this embodiment, the specific implementation of the outburst suppression measures is as follows. When the grading judgment unit in step S103 outputs the judgment result that the current borehole section is an outburst hazard zone, the judgment result is input as a trigger signal to the drilling rig control system and the alarm terminal. After receiving the trigger signal, the drilling rig control system immediately executes a stop command, cutting off the drilling rig's propulsion and rotation power supplies, causing the drilling rig to stop all drilling operations. At the same time, the alarm terminal issues a continuous audible and visual alarm signal, notifying all on-site personnel to immediately stop work and quickly evacuate to a safe area with fresh airflow according to the predetermined disaster avoidance route. After the personnel have evacuated, professional technicians construct pressure relief boreholes in the outburst hazard section in the safe area and connect gas drainage pipelines to implement gas drainage and outburst suppression measures to reduce the coal stress and gas content in the hazard section. After the outburst mitigation measures are completed, the same method is used again to perform drilling-while-testing on the same borehole or adjacent boreholes. This involves repeating steps S101 to S103, conducting stable drilling in the mitigated section, and collecting new data on slewing torque, instantaneous drilling speed, and slewing rotation speed. New real-time energy consumption per unit footage is calculated, and these real-time parameters are compared with previously calibrated benchmark torque, benchmark drilling speed, and benchmark energy consumption per unit footage. If the retest results show that the real-time slewing torque, real-time instantaneous drilling speed, and real-time energy consumption per unit footage have all fallen back to a safe range without outburst risk, the outburst mitigation measures are deemed effective, the drilling rig control system releases the shutdown command, and drilling operations resume. If the retest parameters still have not fallen back to a safe range, the outburst mitigation measures are continued or strengthened until the parameters meet the standards.

[0058] This specific implementation method directly links the determination of the hazardous area to drilling rig shutdown, personnel evacuation, and outburst suppression operations, achieving immediate response and closed-loop management of dangerous situations. This significantly improves the safety of downhole operations and avoids the risk of outburst accidents caused by delays in human judgment or operational errors. Furthermore, the effectiveness is verified through post-outburst monitoring, ensuring the adequacy and effectiveness of the suppression measures and providing reliable technical support for the safe resumption of drilling.

[0059] In this embodiment, as a verification and reinforcement step for the aforementioned classification judgment results, the following operations are specifically performed. When the current borehole section is determined to be a prominent threat zone or a prominent danger zone, the system automatically triggers a cross-verification process. First, the operator stops drilling at the corresponding position based on the borehole depth coordinates displayed on the explosion-proof data terminal, collects the drill cuttings discharged from that borehole section using a drill cuttings collection and weighing device, and measures the drill cuttings gas desorption index using a gas desorption index analyzer. K 1. Simultaneously, the instantaneous gas outburst from the borehole is monitored in real time using a borehole gas flow sensor. Specifically, for borehole sections identified as outburst threat zones, drilling is stopped every 0.5m for sampling and measurement; for borehole sections identified as outburst danger zones, sampling is immediately conducted at the starting position of that borehole section after an alarm is triggered. The collected drill cuttings are weighed, and the amount of drill cuttings per unit borehole depth is calculated.S The unit is kg / m. Then, the measured... K 1 value and S The value, and the monitored instantaneous gas outburst from the borehole, are compared with preset threshold values. As an example, when... K A value exceeding 0.5 mL / (g·min) 0.5 )and S When the value exceeds 6 kg / m, or when there is a sudden increase in the instantaneous gas outburst from the borehole, the verification indicators are deemed to have exceeded the standard simultaneously. If any two or all of the above three verification indicators exceed the standard simultaneously, the borehole section is identified as a high-risk outburst structural zone. In this case, the system automatically extends the outburst mitigation construction length based on the original outburst mitigation measures. For example, the construction range of the pressure relief borehole or gas drainage borehole is extended at least 1m in both directions before and after the locked section to ensure the complete elimination of the outburst hazard. The output of this cross-verification step, namely the location and range of the locked high-risk outburst structural zone, is recorded in the explosion-proof data terminal to guide the precise execution of subsequent outburst mitigation construction and to provide reference coordinates of geological anomalies for subsequent predicted boreholes on the same working face.

[0060] This embodiment achieves an organic combination of drilling dynamic parameter prediction and standard sampling verification, effectively avoiding potential misjudgments from a single dynamic index and significantly improving the accuracy and reliability of hazardous area identification.

[0061] Example 6 Based on the above embodiments, this embodiment describes in detail the complete implementation of this application using a specific example of a continuous prediction method for coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed. Figure 2 As shown, the method includes the following steps: Step S1: Deployment of multi-parameter monitoring equipment downhole.

[0062] Specifically, in the equipment deployment phase, the first step is to install a mine-use explosion-proof drilling monitoring system on the hydraulic drilling rig at the tunneling face. This system includes a slewing torque sensor, installed in the slewing oil circuit of the drilling rig or at the drill rod short section, used to collect the effective torque of the drill bit breaking the coal body in real time. T The unit is N·m; the displacement encoder is used to collect the drilling rig's thrust displacement and drilling time, and then calculate the instantaneous drilling speed. v The unit is m / min; the speed sensor is used to collect the rotational speed of the drilling rig. n The unit is r / min; and an explosion-proof data terminal is used to synchronously record the hole depth and effective torque. T Drilling speed v and rotational speed nThe system automatically generates real-time curves for torque-hole depth and drilling speed-hole depth. In addition, it is equipped with auxiliary data acquisition devices, including borehole gas flow sensors and drill cuttings collection and weighing devices, for cross-checking of hazardous sections. The layout of predictive boreholes follows the "Detailed Rules for the Prevention and Control of Coal and Gas Outbursts," with 3 to 5 in-seam predictive boreholes arranged at the working face, with a depth of 8 to 12 meters, covering an area of ​​2 to 4 meters outside the roadway outline.

[0063] Step S2: Localized benchmark parameter calibration for the target coal seam.

[0064] Specifically, in the process of calibrating localized benchmark parameters for coal seams, a complete original hard coal section without outburst risk is first selected. The section is drilled at a constant speed of more than 2 meters with stable drilling pressure and constant rotation speed. After filtering out mechanical vibration noise, a stable average value is obtained as the benchmark parameter.

[0065] Then, comparative drilling was carried out on the structural fracture zones or stress concentration hazard areas that have been exposed in the mine, the abnormal multiples of parameters were statistically analyzed, and the graded early warning thresholds were determined.

[0066] Step S3: Simultaneous and continuous acquisition of multiple parameters during the drilling process.

[0067] Specifically, during the multi-parameter synchronous continuous data acquisition phase of the drilling process, maintain a uniform and stable drilling speed, and prohibit significant adjustments to drilling pressure and rotation speed. A set of real-time rotational torque data should be collected synchronously every 0.1 meters of hole depth. T Real-time instantaneous drilling speed v and real-time rotation speed n The system receives the raw data, binds it to the corresponding hole depth coordinates, and stores it in real time. If a brief stuck drill or drilling motion occurs, the system automatically marks the abnormal working condition segment.

[0068] Step S4: Preprocessing and noise reduction of raw monitoring data.

[0069] Step S5: Calculate the composite index of energy consumption per unit advance in crushing. E .

[0070] Specifically, in calculating the composite index of energy consumption per unit advance in crushing... E In this process, human-induced disturbances are eliminated by coupling torque, drilling speed, and rotational speed. The physical meaning of this calculated index is to characterize the total rotational crushing energy consumed per meter of coal seam drilled. In high-stress or tectonically pulverized coal sections, coal seam fractures are well-developed and crushing resistance surges. E The value will increase significantly and is not affected by a single drilling pressure adjustment.

[0071] Step S6: Determine the risk level by coupling the three parameters of torque, drilling speed and energy consumption.

[0072] Step S7: Cross-check and confirm multiple indicators for dangerous sections.

[0073] As a specific application case, a complete and unstructured primary hard coal section was selected in a coal mine working face. A hydraulic drilling rig was used to construct a predictive borehole along the bedding plane, with a diameter of 94 mm and a designed depth of 10 meters. Drilling was performed continuously and stably for 2.5 meters at a constant drilling pressure of 11 MPa and a rotation speed of 180 r / min. After filtering out vibration noise, the stable reference parameters were determined: reference torque. T 0 is 112 N·m, the benchmark drilling rate. v 0 is 1.6 m / min, the reference speed. n 0 is 180 r / min; substituting this into the formula, the benchmark unit feed crushing energy consumption is calculated. E 0 represents 412 J / m. Based on comparative tests of the dangerous fracture zones already exposed in this mine, the classification threshold for this coal seam is determined. During the actual measurement, the torque, drilling speed, and energy consumption in the 0-3.2 meter section were all below the safety threshold, with no warning and normal uniform drilling. When drilling reached 3.2 meters, all three parameters simultaneously entered the threat zone for a consecutive 0.5 meter section, and the terminal issued a yellow audible and visual warning. The operator reduced the drilling pressure and the drilling speed to 0.7 m / min, and stopped drilling every 0.5 meters to collect drill cuttings for verification. When drilling reached 5.1 meters, all three parameters exceeded the danger threshold for a consecutive 0.5 meter section, and the system issued a red strong audible and visual alarm, automatically cutting off the drilling rig's propulsion power and stopping the machine. After the machine stopped, high concentrations of methane and coal dust continued to spray from the borehole for about 9 minutes. All personnel were evacuated to fresh airflow, and pressure relief drilling was carried out in the dangerous section from 3.2 to 5.7 meters to extend the methane emission for 40 minutes. After the gas outburst was eliminated, the dynamic parameters were remeasured, and the energy consumption returned to the safe range, and drilling resumed. From 5.7 to 10 meters, the parameters returned to the safe range, with no warning, and normal drilling continued until the end of the hole. This case study verifies that the proposed method can achieve continuous dynamic prediction across the entire well, effectively eliminate monitoring blind spots, and capture prominent precursor dynamic characteristics in real time.

[0074] Therefore, this embodiment eliminates the interference of manual adjustment of drilling pressure and rotation speed on a single indicator by constructing a composite energy consumption index that couples torque and drilling speed, significantly improving prediction accuracy. At the same time, it establishes a localized benchmark calibration process for mines and a three-level outburst hazard classification standard, which is adapted to different coal seams and drilling rig models, and realizes continuous output of hazard judgment results throughout the drilling process, providing a reliable guarantee for underground operation safety.

[0075] To achieve the above embodiments, this application also proposes a continuous prediction system for coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed, such as... Figure 3 As shown, the continuous prediction system 1000 for coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed includes: The benchmark module 100 is used to determine the benchmark torque, benchmark drilling speed and benchmark rotation speed by deploying multi-parameter monitoring equipment while drilling in the non-outburst danger section of the target coal seam, and to calculate the benchmark unit footage breaking energy consumption based on the benchmark torque, benchmark drilling speed and benchmark rotation speed.

[0076] The acquisition module 200 is used to synchronously and continuously acquire real-time rotary torque, real-time instantaneous drilling speed and real-time rotary speed at various depths of the borehole during the drilling process of the predicted borehole, and to perform noise reduction preprocessing on the acquired raw data.

[0077] The judgment module 300 is used to calculate the real-time unit footage breaking energy consumption based on the pre-processed data, and compare the real-time slewing torque, real-time instantaneous drilling speed and real-time unit footage breaking energy consumption with the corresponding benchmark values. Based on the relationship between the comparison results and the preset threshold multiples, the current hole section is divided into a no-protrusion danger zone, a protrusion threat zone or a protrusion danger zone.

[0078] The execution module 400 is used to issue an alarm signal and implement anti-outburst measures when it is determined that there is an outburst danger zone. After the outburst is eliminated, it performs a retest while drilling and resumes drilling after the parameters fall back to the safe range.

[0079] It should be noted that the aforementioned descriptions of the embodiments of the method for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed also apply to the system of this application, and will not be repeated here.

[0080] In summary, the coal and gas outburst hazard continuous prediction system based on the coupling of drilling torque and drilling speed proposed in this application can realize continuous dynamic prediction of the entire borehole depth, eliminate the blind zone of traditional segmented sampling, and improve prediction accuracy and real-time early warning capability.

[0081] To implement the above embodiments, this application also proposes an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to execute the method for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed as described in any of the first aspect embodiments above.

[0082] To implement the above embodiments, this application also proposes a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed as described in any one of the first aspect embodiments above.

[0083] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0084] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0085] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0086] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0087] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0088] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0089] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0090] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling rate, characterized in that, Includes the following steps: By deploying multi-parameter monitoring equipment while drilling, stable drilling is carried out in the non-outburst-risk section of the target coal seam to determine the benchmark torque, benchmark drilling speed and benchmark rotation speed, and the benchmark unit footage crushing energy consumption is calculated based on the benchmark torque, benchmark drilling speed and benchmark rotation speed. During the predictive drilling process, real-time rotary torque, real-time instantaneous drilling speed and real-time rotary speed at each hole depth are collected simultaneously and continuously, and the collected raw data are pre-processed for noise reduction. The real-time unit footage breaking energy consumption is calculated based on the pre-processed data, and the real-time slewing torque, the real-time instantaneous drilling speed and the real-time unit footage breaking energy consumption are compared with the corresponding benchmark values. According to the relationship between the comparison results and the preset threshold multiple, the current hole section is divided into a no-protrusion danger zone, a protrusion threat zone or a protrusion danger zone. When the aforementioned dangerous protrusion zone is determined to exist, an alarm signal is issued and protrusion suppression measures are implemented. After the protrusion suppression is completed, drilling is retested while drilling, and drilling resumes after the parameters fall back to the safe range.

2. The method according to claim 1, characterized in that, The process of conducting stable drilling in a non-outburst-prone section of the target coal seam, determining benchmark torque, benchmark drilling speed, and benchmark rotational speed, and calculating benchmark unit footage breaking energy consumption based on the benchmark torque, benchmark drilling speed, and benchmark rotational speed includes: Select a complete original hard coal section without any outburst danger at the tunneling face, and drill at a constant speed with stable drilling pressure to the first preset length; After filtering out mechanical vibration noise, the stable average value of the drilling rig data collected during the uniform drilling process is used as the reference torque, the reference drilling speed, and the reference rotation speed. Substituting the reference torque, the reference drilling speed, and the reference rotational speed into the following formula for energy consumption per unit footage of rock breaking, the reference energy consumption per unit footage of rock breaking is calculated: in, E Energy consumption per unit of crushing advance. T For rotational torque, n The rotational speed, v This refers to the instantaneous drilling speed.

3. The method according to claim 1, characterized in that, The system synchronously and continuously acquires real-time rotary torque, real-time instantaneous drilling speed, and real-time rotary rotation speed at various hole depths, and performs noise reduction preprocessing on the acquired raw data, including: During the uniform and stable drilling process, whenever the second preset length of hole depth is reached, a set of real-time rotational torque, real-time instantaneous drilling speed and real-time rotational speed of the drilling rig are collected simultaneously, and the real-time collected raw data are bound to the corresponding hole depth coordinates. The sudden noise data caused by idling, drilling, and adjusting drilling pressure is removed from the raw data collected in real time, and the torque curve and drilling speed curve are smoothed by a moving average filtering algorithm to eliminate mechanical vibration pulse interference. Remove invalid data that indicates a drilling speed below a preset speed threshold.

4. The method according to claim 3, characterized in that, The synchronous and continuous acquisition of real-time rotary torque, real-time instantaneous drilling speed, and real-time rotary rotation speed at various depths of the borehole also includes: In the event of a brief stuck drill or drill retraction during the drilling process, the abnormal working condition segment is automatically marked.

5. The method according to claim 1, characterized in that, The process of comparing the real-time rotary torque, the real-time instantaneous drilling speed, and the real-time energy consumption per unit advance of the breaking material with their corresponding benchmark values, and dividing the current borehole section into a no-protrusion-hazard zone, a protrusion-threat zone, or a protrusion-hazard zone based on the comparison results relative to a preset threshold multiple, includes: Using a continuously preset third length of hole segment as the determination unit, the real-time rotational torque, the real-time instantaneous drilling speed, and the real-time unit advance breaking energy consumption are divided by the corresponding benchmark values ​​to obtain the relative values ​​of torque, drilling speed, and energy consumption. The relative values ​​of torque, drilling speed, and energy consumption are compared with the corresponding threshold multiples for the outburst threat zone and the outburst danger zone, respectively, and the danger level is classified according to the comparison results.

6. The method according to claim 5, characterized in that, The threshold multiple for the prominent threat zone includes: The relative value of the torque is greater than or equal to 1.4 and less than 1.8, the relative value of the drilling speed is greater than or equal to 1.3 and less than 1.5, and the relative value of the energy consumption is greater than or equal to 1.4 and less than 1.

7. The threshold multiple for the prominent danger zone includes: The relative value of the torque is greater than or equal to 1.8, the relative value of the drilling speed is greater than or equal to 1.5, and the relative value of the energy consumption is greater than or equal to 1.

7.

7. The method according to claim 5, characterized in that, The classification of hazard levels based on comparison results includes: If the relative values ​​of torque, drilling speed, and energy consumption are all below a multiple of the threshold of the threat zone, it is determined that there is no prominent danger. If the relative values ​​of torque, drilling speed, and energy consumption in the determination unit all reach the threshold multiple of the threat zone but do not reach the threshold multiple of the outburst danger zone, it is determined to be an outburst threat zone. If the relative values ​​of torque, drilling speed, and energy consumption in the determination unit all reach a multiple of the threshold of the outburst danger zone, it is determined to be an outburst danger zone.

8. The method according to claim 5, characterized in that, The method of dividing the current hole segment into a non-protruding danger zone, a protruding threat zone, or a protruding danger zone also includes: If the amplitude of torque fluctuation and the amplitude of drilling speed change exceed the corresponding threshold range, and the gas emission suddenly increases, the current hole section is determined to be a dangerous area for outburst. If the torque variation exceeds the threshold range, the drilling speed drops to zero, and there are signs of impending power manifestation, the current hole section is determined to be a dangerous zone.

9. The method according to claim 1, characterized in that, After dividing the current hole segment into a no-protrusion-hazard zone, a protrusion-threat zone, or a protrusion-hazard zone, the method further includes: For borehole sections identified as prominent threat zones and prominent danger zones, the drill cuttings gas desorption index, drill cuttings volume per unit borehole depth, and instantaneous borehole gas emission volume are simultaneously cross-checked. If all the verification indicators exceed the standard simultaneously, the corresponding borehole section is identified as a high-risk structural zone for outbursts, and the length of the outburst suppression construction is extended.

10. The method according to claim 9, characterized in that, The drilling multi-parameter monitoring equipment includes: A rotary torque sensor is used to collect the effective torque of the drill bit in crushing coal in real time. Displacement encoders are used to collect the drilling rig's thrust displacement and drilling time in order to calculate the instantaneous drilling speed; A speed sensor is used to collect the rotational speed of the drilling rig; Explosion-proof data terminal, used to synchronously record real-time acquired raw data and automatically plot real-time parameter change curves; An auxiliary data acquisition device is used to cross-check the prominent danger zone.

11. A continuous prediction system for coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed, characterized in that, Includes the following modules: The benchmark module is used to determine the benchmark torque, benchmark drilling speed and benchmark rotation speed by deploying multi-parameter monitoring equipment while drilling in the non-outburst danger section of the target coal seam, and to calculate the benchmark unit footage crushing energy consumption based on the benchmark torque, benchmark drilling speed and benchmark rotation speed. The data acquisition module is used to simultaneously and continuously acquire real-time rotary torque, real-time instantaneous drilling speed and real-time rotary speed at various depths of the borehole during the drilling process of the predictive borehole, and to perform noise reduction preprocessing on the acquired raw data. The determination module is used to calculate the real-time unit footage breaking energy consumption based on the preprocessed data, and compare the real-time slewing torque, the real-time instantaneous drilling speed and the real-time unit footage breaking energy consumption with the corresponding benchmark values ​​respectively. According to the relationship between the comparison results and the preset threshold multiple, the current hole section is divided into a no-protrusion danger zone, a protrusion threat zone or a protrusion danger zone. The execution module is used to issue an alarm signal and implement anti-outburst measures when the existence of the outburst danger zone is determined, and to perform drilling retest after the outburst is eliminated and the drilling resumes after the parameters fall back to the safe range.

12. An electronic device, comprising: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the continuous prediction method for coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed as described in any one of claims 1-10.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for continuous prediction of coal and gas outburst risk during drilling based on the coupling of drilling torque and drilling speed as described in any one of claims 1-10.

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