A method and system for testing the effect of regional fracturing and pressure relief technology in directional long drilling of coal seam roof

Abstract

The present invention discloses a method and system for testing the effect of regional fracturing and pressure relief technology in a directional long-hole drilling system on a coal seam roof, including the following steps: S1: installing a borehole stress gauge, an anchor dynamometer, and a roadway surface displacement measurement point before fracturing construction; S2: searching for borehole stress gauge, anchor dynamometer, and surface displacement monitoring data monitored during regional fracturing and pressure relief in the same mining area, pre-processing the three types of data, and obtaining variables reflecting the characteristics of the fracturing and pressure relief effect; S3: classifying the variables and data in step S2 into different levels, and establishing a Bayesian discriminant function based on the variables corresponding to each level; S4: after pre-processing the data measured in step S1, substituting the obtained variables into the discriminant function, determining the level of the variables obtained in step S1 and the measured data; S5: scoring the fracturing and pressure relief effect based on the level of the measured data in step S1. The present invention can more accurately judge the fracturing and pressure relief effect and the impact on the roadway and the like during the pressure relief process by measuring the data of the borehole stress gauge, anchor dynamometer, and roadway surface displacement monitoring. By using Bayesian function discrimination, it is possible to obtain a high-accuracy evaluation of the effect of the fracturing and pressure relief technology.

Description

Technical Field

[0001] The present invention relates to the technical field of safe mining of coal mines, and in particular to a method and system for testing the effect of a fracturing and pressure relief technology in a directional long-hole drilling area of ​​a coal seam roof. Background Art

[0002] Directional long-hole regional fracturing technology is an engineering operation technology that uses a set of downhole directional long-distance drilling facilities, that is, using a kilometer-long directional drilling rig equipped with wired or wireless measurement while drilling technology. It can provide real-time feedback during drilling, adjust and control the direction of the drill bit to achieve high-precision drilling and long-distance stable drilling, and realize the designed fracturing trajectory to carry out regional liquid CO2 phase change fracturing. The drilling length is usually more than 300m, and the fracturing range can cover the entire working face area or even wider, which can avoid the shortcomings of conventional hydraulic fracturing in terms of fracturing depth, fracturing layer, and fracturing time arrangement.

[0003] Directional long-hole regional fracturing technology has great potential for pre-fracture of composite roofs in deep coal seams. By implementing liquid CO2 phase-change fracturing on the composite roof above the mined coal seam, this technology can effectively reduce the overall strength of the roof, minimizing the intense mining pressure and even rock burst accidents caused by the roof's delayed collapse due to coal mining. However, evaluating the effectiveness of fracturing and pressure relief in composite roofs of deep coal seams has always been a major challenge. Currently, this assessment is mainly carried out through detection methods such as microseismic and acoustic emission. These methods are not intuitive enough and cannot quantitatively evaluate the fracturing effect, which seriously hinders the development and progress of this technology.

[0004] Therefore, it is urgent to provide a method for testing the effect of fracturing and pressure relief technology in the directional long drilling area of ​​the coal seam roof. Summary of the Invention

[0005] In order to solve the above problems, the technical solution of the present invention provides a method and system for testing the effect of fracturing and pressure relief technology in the directional long drilling area of ​​the coal seam roof, which solves the problem of being unable to quantitatively evaluate the fracturing effect.

[0006] According to a first embodiment of the technical solution of the present invention, a method for testing the effect of the fracturing and pressure relief technology in the directional long drilling area of ​​the coal seam roof is provided, comprising:

[0007] S1. Before fracturing construction, borehole stress gauges are installed in the track tunnel and belt tunnel respectively, and anchor dynamometers are installed in the track tunnel, belt tunnel and mining area tunnel. Displacement measurement points on the tunnel surface are set at the installation locations of the anchor dynamometers, and data monitoring is carried out before, during and after fracturing construction;

[0008] S2. Find the borehole stress gauge, anchor dynamometer, and surface displacement monitoring data monitored during regional fracturing and pressure relief in the same mining area or mining areas with similar ore rocks and geological conditions, and pre-process the three types of data separately to obtain variables reflecting the characteristics of the fracturing and pressure relief effect;

[0009] S3. Classify the variables and data in step S2 into different levels according to whether the results meet the design goals, mark the data, and establish Bayesian discriminant functions according to the variables corresponding to each level;

[0010] S4, after pre-processing the data measured in step S1 in step S2, the obtained variables are respectively brought into the discriminant function of step S3 to determine the levels of the variables obtained in step S1 and the measured data;

[0011] S5. Score the fracturing pressure relief effect according to the level of each data measured in step S1.

[0012] In the above solution, step S1 includes:

[0013] S11, installing two sets of the borehole stress gauges in the track lane and the belt lane respectively;

[0014] S12, installing the anchor dynamometers at the five measuring stations in the track lane, belt lane and main lane in the mining area;

[0015] S13. Use a cross-point method to install the displacement measuring points on the tunnel surface.

[0016] In the above scheme, the variables reflecting the characteristics of the fracturing and pressure relief effect obtained from the three types of data in step S2 include:

[0017] Borehole stress gauge data: stress change amplitude, stress change standard deviation and principal stress direction change angle;

[0018] Anchor cable dynamometer data: tension change amplitude, tension change standard deviation and tension change rate;

[0019] Surface displacement monitoring data: cumulative displacement, displacement change rate and displacement change rate.

[0020] In the above solution, in step S3, classifying the variables into different levels includes:

[0021] If the design target of fracturing and pressure relief is effectively achieved, the measured data is Class I;

[0022] If the design target of fracturing pressure relief is not fully achieved but it can be kept stable for a long time, the measured data is classified as Level II;

[0023] If the design target of fracturing pressure relief is not achieved and hazards are caused in subsequent engineering practice, the measurement data is Level III.

[0024] In the above solution, step S3 includes:

[0025] The data in step S2 are respectively brought into the Bayesian discriminant function corresponding to each level to perform level judgment. If the judgment result is the same as the original judgment level, the judgment is correct. If the judgment result is different from the original judgment level, the judgment is wrong. The correct judgment rate of the Bayesian discriminant function is calculated based on the judgment result.

[0026] In the above solution, step S4 includes:

[0027] The variables are respectively brought into the discriminant functions of step S3, and the level with the largest discriminant function value is the level where the variables and the measured data are located.

[0028] In the above solution, establishing the Bayesian discriminant function in step S3 includes:

[0029] Calculate the mean and mean vector of each variable in each level;

[0030] Calculate the covariance matrix between all variables in each level and find its inverse matrix;

[0031] Calculate the prior probability of three types of data;

[0032] The Bayesian discriminant function is established according to the mean vector, the inverse matrix and the prior probability.

[0033] In the above solution, in step S5, the three types of data are scored respectively, and the scores are accumulated.

[0034] According to a second embodiment of the technical solution of the present invention, a system for testing the effect of the fracturing and pressure relief technology in the directional long drilling area of ​​the coal seam roof is provided. The system is used to implement the method for testing the effect of the fracturing and pressure relief technology in the directional long drilling area of ​​the coal seam roof described in any one of the above solutions. The system includes:

[0035] The data acquisition module is used to install borehole stress gauges in the track lane and belt lane respectively before fracturing construction, install anchor dynamometers in the track lane, belt lane and mining area lane, and set up roadway surface displacement measurement points at the installation locations of the anchor dynamometers;

[0036] The data processing module is used to search for borehole stress gauge, anchor dynamometer and surface displacement monitoring data monitored during the regional fracturing and pressure relief process in the same mining area or mining areas with similar ore rocks and geological conditions, and pre-process the three types of data to obtain variables reflecting the characteristics of the fracturing and pressure relief effect;

[0037] A function establishment module is used to classify the variables and data in the data processing module according to whether the results meet the design goals, mark the data, and establish Bayesian discriminant functions according to the variables corresponding to each level;

[0038] A level determination module is used to, after preprocessing the data measured by the data acquisition module by the data processing module, bring the obtained variables into the discriminant function of the function establishment module to determine the level of the variables obtained in the data acquisition module and the various data measured;

[0039] The scoring module is used to score the fracturing and pressure relief effect according to the level of each data measured in the data acquisition module.

[0040] According to a third aspect of the technical solution of the present invention, an electronic device is provided, comprising:

[0041] a memory storing executable instructions;

[0042] A processor, wherein the processor runs the executable instructions in the memory to implement the method of any one of the above solutions.

[0043] Beneficial effects of the present invention:

[0044] The present invention discloses a method and system for evaluating the effectiveness of fracturing and pressure-relieving technology in long, directional drilling areas in coal seam roofs. Using data measured by borehole stress gauges, anchor dynamometers, and roadway surface displacement monitoring, the system can accurately assess the effectiveness of fracturing and pressure-relieving technology and its impact on roadways and other structures during the process. This data is preprocessed to obtain variables that characterize the effectiveness of fracturing and pressure-relieving technology in long, directional drilling areas in coal seam roofs. Using Bayesian function analysis, this method allows for a highly accurate evaluation of the effectiveness of fracturing and pressure-relieving technology.

[0045] Data from borehole stress gauges, anchor dynamometers, and roadway surface displacement monitoring can accurately reflect the effectiveness of fracturing and pressure relief technology in the long directional drilling area of ​​the coal seam roof from multiple dimensions, forming a quantitative indicator for measuring the effectiveness of fracturing and pressure relief technology. This approach is more intuitive and objective than traditional qualitative evaluation, and is more suitable for technology comparison and effect optimization. It also enables the integrated analysis of multi-source data, thereby avoiding the limitations of a single monitoring method and enhancing the comprehensiveness and reliability of the evaluation.

[0046] Combined with Bayesian function discrimination, it has the ability to handle uncertainty and noise, and can reasonably handle possible measurement errors or anomalies in the data through a combination of prior and posterior probabilities. This can improve the robustness of the analysis results and avoid erroneous evaluations caused by single abnormal data. By adjusting the prior distribution and model parameters according to specific needs, it can also be expanded to more monitoring methods or data types. This flexibility allows the method to adapt to different geological conditions or technical scenarios, increasing the scope of application of the technology. Through a comprehensive evaluation method with accumulated scores, it can not only evaluate the technical effect, but also provide a comparative basis for fracturing schemes under different working conditions, help optimize construction parameters and fracturing design, and further improve the effectiveness of technical application. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0048] Figure 1 This is a flow chart of a method for testing the effect of the regional fracturing and pressure relief technology for directional long drilling of coal seam roof disclosed in the present invention;

[0049] Figure 2 A schematic diagram of the distribution of measuring stations and installation of monitoring equipment for a method for testing the effect of regional fracturing and pressure relief technology for directional long drilling of coal seam roofs disclosed in the present invention;

[0050] Figure 3 A schematic diagram of the installation of a borehole stress meter for testing the effect of the regional fracturing and pressure relief technology for directional long drilling of coal seam roof disclosed in the present invention;

[0051] Figure 4 This is a schematic diagram of the layout of the tunnel surface displacement monitoring section for the method for testing the effect of the coal seam roof directional long drilling regional fracturing and pressure relief technology disclosed in the present invention.

[0052] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0053] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

[0054] The terms "first," "second," and the like in the description and claims of the present disclosure are used to distinguish similar objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, such that the embodiments of the present disclosure described herein can, for example, be implemented in orders other than those illustrated or described herein.

[0055] In addition, the terms "comprises" and "having" and any variations thereof are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or apparatus that includes a series of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, product or apparatus.

[0056] Multiple includes two or more.

[0057] It should be understood that the term "and / or" as used in this disclosure simply describes an association between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0058] like Figures 1 to 4 As shown, an embodiment of the technical solution of the present invention provides a method for testing the effect of the fracturing and pressure relief technology in the directional long drilling area of ​​the coal seam roof, comprising:

[0059] S1. Before fracturing, install borehole stress gauges in the track tunnel and belt tunnel, install anchor dynamometers in the track tunnel, belt tunnel, and mining area tunnel, set up tunnel surface displacement measurement points at the installation locations of the anchor dynamometers, and conduct data monitoring before, during, and after fracturing.

[0060] S2. Find the borehole stress gauge, anchor dynamometer, and surface displacement monitoring data monitored during regional fracturing and pressure relief in the same mining area or mining areas with similar ore rocks and geological conditions, and pre-process the three types of data separately to obtain variables reflecting the characteristics of the fracturing and pressure relief effect;

[0061] S3. Classify the variables and data in step S2 into different levels according to whether the results meet the design goals, mark the data, and establish Bayesian discriminant functions according to the variables corresponding to each level;

[0062] S4. After the data measured in step S1 are preprocessed in step S2, the obtained variables are respectively brought into the discriminant function of step S3 to determine the levels of the variables obtained in step S1 and the measured data;

[0063] S5. Score the fracturing pressure relief effect according to the level of each data measured in step S1.

[0064] Step S1 includes:

[0065] S11. Install two sets of borehole stress gauges in the track lane and belt lane respectively;

[0066] Specifically, the spacing between the two groups of borehole stress gauges in each tunnel is adjusted within the range of 40 to 80 m according to the differences in geological conditions. During installation, one group is installed inward with the stop mining line as the midpoint, and one group is installed outward. At the same time, one group of borehole stress gauges is installed in the main tunnel of the mining area and in the middle of the working face.

[0067] Furthermore, six strain gauges were installed at each station, with spacing of 2 to 4 meters between them. The borehole strain gauges were installed at a depth of 3 to 12 meters, flexibly depending on geological conditions. The boreholes had a diameter of 42 mm and were installed horizontally 1.2 to 1.5 meters from the tunnel floor.

[0068] S12. Anchor dynamometers are installed at five measuring stations in the track lane, belt lane and main lane of the mining area;

[0069] Specifically, anchor cable force monitoring points must be installed at each measuring station. The anchor cables must be re-installed and placed between two rows of steel belts. A flat anchor cable tray is required for the installation of anchor cable dynamometers.

[0070] S13. Use the cross-point method to set up displacement measuring points on the tunnel surface.

[0071] Specifically, holes with a depth of 30 mm and a depth of 400 mm are drilled vertically in the middle of the top and bottom plates and horizontally on both sides, and wooden stakes with a length of 32 mm and a length of 400 mm are driven into the holes. Curved measuring nails are installed at the ends of the wooden stakes on the top plate and the upper side, and flat-head measuring nails are installed at the ends of the wooden stakes on the bottom plate and the lower side. The axial spacing between the two monitoring sections along the tunnel is selected between 0.4 m and 1.2 m according to the geological conditions. Anchor dynamometers can be arranged in combination with surface displacement measuring points. However, if the density of dynamometers is insufficient, displacement monitoring sections can be arranged independently to avoid monitoring blind spots.

[0072] like Figure 4As shown, the method for observing the surface displacement of the tunnel is: tighten the measuring rope between C and D, tighten the steel ruler between A and B, and measure the AO and AB values; tighten the measuring rope between A and B, tighten the steel ruler between C and D, and measure the CO and CD values; the measurement accuracy is required to reach 1mm, and 0.5mm is estimated.

[0073] The measurement frequency of tunnel surface displacement is: once a day when the mining face is within 100m from the stop mining line, and 1 to 2 times a week at other times.

[0074] In step S1, various data are monitored starting from 1 to 3 days before the fracturing operation and ending when the surrounding rock conditions meet the design requirements after the operation is completed.

[0075] The variables reflecting the characteristics of the fracturing unloading effect obtained from the three types of data in step S2 include:

[0076] Borehole dynamometer data. Borehole dynamometers are used to assess rock stability and stress distribution; they help determine stress redistribution and the effective pressure relief range during fracturing.

[0077] Stress variation: maximum stress minus minimum stress. Whether the surrounding rock stress can be significantly reduced in the fracturing area can indicate whether the stress has been successfully released.

[0078] Stress change standard deviation: After fracturing, if stress concentration is reduced and the stress field tends to be uniform, it means that fracturing has played a role in reducing stress concentration. It is used to characterize the uniformity of stress release.

[0079] The angle of change in the direction of principal stress: represents the adjustment of the mechanical properties of the rock mass.

[0080] Anchor dynamometer data: Anchor dynamometer is used to evaluate the stability and safety of the support system; determine whether the anchor force exceeds the design range and warn of possible support failure; reflect the impact of surrounding rock deformation on the support system and guide support optimization.

[0081] Tension variation range: After fracturing and unloading, if the initial stress and long-term stress of the anchor cable drop significantly, it indicates that the surrounding rock pressure has been released. The maximum tension minus the minimum tension is used to represent the maximum tension variation range.

[0082] Tensile force variation standard deviation: If the fluctuation of monitoring data decreases, it means that the stress state of the surrounding rock tends to be balanced and the fracturing effect is apparent; it can also indicate the uniformity of force in the anchoring area;

[0083] Tension change rate: Characterizes the dynamic response of tension adjustment.

[0084] Surface displacement monitoring data: Surface displacement monitoring is used to determine the overall deformation trend of the rock mass; provide warnings of rock deformation during fracturing; and monitor the impact of fracturing activities on rock stability.

[0085] Cumulative displacement: If the cumulative displacement of the tunnel surface decreases significantly within the same period of time, it means that the tunnel stability has improved after the surrounding rock pressure is released. It can also represent the response intensity of the surface deformation.

[0086] Displacement change rate: If the displacement rate of the roadway surface decreases significantly, it means that the surrounding rock deformation is effectively controlled; it characterizes the dynamic characteristics of surface deformation over time;

[0087] Displacement direction change angle: represents the adjustment of the surface deformation direction.

[0088] In step S3, classifying the variables into different levels includes:

[0089] If the design target of fracturing and pressure relief is effectively achieved, the measured data is Class I;

[0090] If the design target of fracturing pressure relief is not fully achieved but it can be kept stable for a long time, the measured data is classified as Level II;

[0091] If the design target of fracturing pressure relief is not achieved and hazards are caused in subsequent engineering practice, the measurement data is Level III.

[0092] The establishment of the Bayesian discriminant function in step S3 includes:

[0093] Calculate the mean of each variable in each level and get the mean vector μ (g) , μ (g) represents the mean vector of the g-th fracturing unloading effect level;

[0094] Calculate the covariance matrix Σ between all variables in each level and find its inverse matrix Σ -1 ;

[0095] With sample frequency q g Represents the prior probability of three levels of data respectively:

[0096]

[0097] Among them, n g is the number of samples from the gth level of hydraulic unloading effect in a given set of samples used to establish the discriminant function, and n1+n2+n3=n. n1 is the number of samples from level I, n2 is the number of samples from level II, and n3 is the number of samples from level III.

[0098] Establish the Bayesian discriminant function and criteria for fracturing pressure relief effect levels I, II, and III:

[0099]

[0100] Where μ ( ' g) μ(g) The transposed matrix of , y(g / x) is the discriminant function.

[0101] There are three groups of sample data, and each group of data corresponds to the fracturing unloading effect level I, II, and III, so 9 Bayes discriminant functions and discriminant criteria will be obtained.

[0102] All original samples are fed into the three discriminant functions for each data set, and each sample is assigned to the level with the highest discriminant function value. The correct discrimination rate is then calculated. If the discrimination result matches the original level, the judgment is correct; if it differs from the original level, the judgment is incorrect. The correct discrimination rate of the Bayesian discriminant function is calculated based on the discrimination results. The correct discrimination rate quantitatively evaluates the performance of the entire evaluation model, indicating its reliability over multiple trials. If the correct discrimination rate is low, it is necessary to check the quality of the monitoring data, adjust the Bayesian discriminant function, and optimize the prior probability. If the correct discrimination rate falls below 90%, the formula needs to be adjusted.

[0103] Step S4 includes:

[0104] The variables are respectively introduced into the discriminant functions of step S3, and discriminant analysis is performed according to the discriminant criteria. The levels of the variables and the measured data are defined as the level with the largest discriminant function value.

[0105] And the posterior probability is calculated according to the following formula to determine the credibility of a group of fracturing unloading effect evaluation.

[0106]

[0107] Where P(g / x) is the posterior probability, and y(i / x) is the result of the three-level discriminant function. If the posterior probability of a level is close to 1, the evaluation result is highly reliable. If the posterior probabilities of the three levels are close, the evaluation result is uncertain and needs to be combined with the prior probability to improve the evaluation effect.

[0108] In step S5, the fracturing pressure relief effect is scored according to GB / T50375-2016 Standard for Construction Quality Evaluation of Building Engineering. The three data are scored separately and the scores are accumulated. In a preferred embodiment, the scoring criteria for the fracturing pressure relief effect are shown in Table 1.

[0109] Table 1

[0110]

[0111] According to a second embodiment of the technical solution of the present invention, a system for testing the effect of the directional long drilling area fracturing and pressure relief technology in the coal seam roof is provided. The system is used to implement the above-mentioned method for testing the effect of the directional long drilling area fracturing and pressure relief technology in the coal seam roof. The system includes:

[0112] The data acquisition module is used to install borehole stress gauges in the track tunnel and belt tunnel before fracturing construction, install anchor dynamometers in the track tunnel, belt tunnel and mining area tunnel, and set up tunnel surface displacement measurement points at the installation locations of the anchor dynamometers;

[0113] The data processing module is used to search for borehole stress gauge, anchor dynamometer and surface displacement monitoring data monitored during the regional fracturing and pressure relief process in the same mining area or mining areas with similar ore rocks and geological conditions, and pre-process the three types of data to obtain variables reflecting the characteristics of the fracturing and pressure relief effect;

[0114] The function establishment module is used to classify the variables and data in the data processing module according to whether the results meet the design goals, mark the data, and establish the Bayesian discriminant function according to the variables corresponding to each level;

[0115] The level determination module is used to pre-process the data measured by the data acquisition module in the data processing module, and then bring the obtained variables into the discriminant function of the function establishment module to determine the level of the variables obtained in the data acquisition module and the measured data;

[0116] The scoring module is used to score the fracturing and pressure relief effect according to the level of each data measured in the data acquisition module.

[0117] According to a third aspect of the technical solution of the present invention, an electronic device is provided, the electronic device comprising:

[0118] a memory storing executable instructions;

[0119] A processor runs the executable instructions in the memory to implement any of the above methods.

[0120] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0121] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0122] Through the description of the above embodiments, those skilled in the art can clearly understand that the above implementation method can be implemented by means of software plus the necessary general hardware platform, or of course by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0123] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are protected by the present invention.

Claims

1. A method for testing the effect of the fracturing and pressure relief technology in the directional long drilling area of ​​the coal seam roof, characterized in that: include: S1. Before fracturing construction, borehole stress gauges are installed in the track tunnel and belt tunnel respectively, and anchor dynamometers are installed in the track tunnel, belt tunnel and mining area tunnel. Displacement measurement points on the tunnel surface are set at the installation locations of the anchor dynamometers, and data monitoring is carried out before, during and after fracturing construction; S2. Find the borehole stress gauge, anchor dynamometer, and surface displacement monitoring data monitored during regional fracturing and pressure relief in the same mining area or mining areas with similar ore rocks and geological conditions, and pre-process the three types of data separately to obtain variables reflecting the characteristics of the fracturing and pressure relief effect; S3. Classify the variables and data in step S2 into different levels according to whether the results meet the design goals, mark the data, and establish Bayesian discriminant functions according to the variables corresponding to each level; S4, after pre-processing the data measured in step S1 in step S2, the variables obtained in step S1 are respectively substituted into the discriminant function of step S3 to determine the levels of the variables obtained in step S1 and the measured data; S5. Score the fracturing and pressure relief effect according to the level of each data measured in step S1; In step S3, classifying the variables into different levels includes: If the design target of fracturing and pressure relief is effectively achieved, the measured data is Class I; If the design target of fracturing pressure relief is not fully achieved but it can be kept stable for a long time, the measured data is classified as Level II; If the design target of fracturing pressure relief is not achieved and hazards are caused in the later engineering practice, the measurement data is level III; The establishment of the Bayesian discriminant function in step S3 includes: Calculate the mean of each variable in each level to obtain the mean vector , represents the mean vector of the g-th fracturing unloading effect level; Compute the covariance matrix between all variables in each level , and find its inverse matrix ; At sample frequency Represents the prior probability of three levels of data respectively: （1） in, is the number of samples from the g-th level of hydraulic fracturing and pressure relief effect in a certain set of samples in the known classification used to establish the discriminant function, and ; is the number of samples at level I, is the number of samples at level II, The number of samples at level III; Establish the Bayesian discriminant function and criteria for fracturing pressure relief effect levels I, II, and III: （2） Where, for The transposed matrix of is the discriminant function.

2. The method for testing the effect of the regional fracturing and pressure relief technology in the directional long drilling of the coal seam roof according to claim 1 is characterized in that: Step S1 includes: S11, installing two sets of the borehole stress gauges in the track lane and the belt lane respectively; S12, installing the anchor dynamometers at the five measuring stations in the track lane, belt lane and main lane in the mining area; S13. Use a cross-point method to install the displacement measuring points on the tunnel surface.

3. The method for testing the effect of the regional fracturing and pressure relief technology in the directional long drilling of the coal seam roof according to claim 1 is characterized in that: The variables reflecting the characteristics of the fracturing unloading effect obtained from the three types of data in step S2 include: Borehole stress gauge data: stress change amplitude, stress change standard deviation and principal stress direction change angle; Anchor cable dynamometer data: tension change amplitude, tension change standard deviation and tension change rate; Surface displacement monitoring data: cumulative displacement, displacement change rate and displacement direction change angle.

4. The method for testing the effect of the regional fracturing and pressure relief technology in the directional long drilling of the coal seam roof according to claim 1 is characterized in that: Step S3 includes: The data in step S2 are respectively brought into the Bayesian discriminant function corresponding to each level to perform level judgment. If the judgment result is the same as the original judgment level, the judgment is correct. If the judgment result is different from the original judgment level, the judgment is wrong. The correct judgment rate of the Bayesian discriminant function is calculated based on the judgment result.

5. The method for testing the effect of the regional fracturing and pressure relief technology in the directional long drilling of the coal seam roof according to claim 1 is characterized in that: Step S4 includes: The variables are respectively brought into the discriminant functions of step S3, and the level with the largest discriminant function value is the level where the variables and the measured data are located.

6. The method for testing the effect of the regional fracturing and pressure relief technology in the directional long drilling of the coal seam roof according to claim 1 is characterized in that: The establishment of the Bayesian discriminant function in step S3 includes: Calculate the mean and mean vector of each variable in each level; Calculate the covariance matrix between all variables in each level and find its inverse matrix; Calculate the prior probability of three types of data; The Bayesian discriminant function is established according to the mean vector, the inverse matrix and the prior probability.

7. The method for testing the effect of the regional fracturing and pressure relief technology in the directional long drilling of the coal seam roof according to claim 1 is characterized in that: In step S5, the three types of data are scored respectively, and the scores are accumulated.

8. A system for testing the effect of fracturing and pressure relief technology in a directional long-hole drilling area on the roof of a coal seam, characterized in that: The system is used to implement the method for testing the effect of the coal seam roof directional long drilling regional fracturing and pressure relief technology according to any one of claims 1 to 7, and the system comprises: The data acquisition module is used to install borehole stress gauges in the track lane and belt lane respectively before fracturing construction, install anchor dynamometers in the track lane, belt lane and mining area lane, and set up roadway surface displacement measurement points at the installation locations of the anchor dynamometers; The data processing module is used to search for borehole stress gauge, anchor dynamometer and surface displacement monitoring data monitored during the regional fracturing and pressure relief process in the same mining area or mining areas with similar ore rocks and geological conditions, and pre-process the three types of data to obtain variables reflecting the characteristics of the fracturing and pressure relief effect; A function establishment module is used to classify the variables and data in the data processing module according to whether the results meet the design goals, mark the data, and establish Bayesian discriminant functions according to the variables corresponding to each level; A level determination module is used to, after preprocessing the data measured by the data acquisition module by the data processing module, bring the obtained variables into the discriminant function of the function establishment module to determine the level of the variables obtained in the data acquisition module and the various data measured; The scoring module is used to score the fracturing and pressure relief effect according to the level of each data measured in the data acquisition module.

9. An electronic device, characterized in that: The electronic device comprises: a memory storing executable instructions; A processor, wherein the processor runs the executable instructions in the memory to implement the method according to any one of claims 1 to 7.

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