Gas extraction drilling hole tamping verification and prediction system based on one-drill-one-gear space-time correlation

Abstract

The application discloses a gas extraction drilling compaction verification and prediction system based on one-drill-one-file space-time correlation, which is characterized by comprising a one-drill-one-file space-time correlation module, a drilling compaction verification module and a standard time prediction module, wherein the one-drill-one-file space-time correlation module is used for uniformly organizing and correlating design information, construction information, inclinometer trajectory information, video information, extraction information and space attribution information of a single drill hole to form a single-hole space-time correlation data object.

Description

Technical Field

[0001] This invention relates to a gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of a single borehole. It involves a method and system for verifying the construction quality and predicting the time to achieve compliance in gas drainage boreholes, belonging to the field of coal mine gas drainage and control technology. Specifically, it relates to a verification and prediction system that establishes spatiotemporal correlation archives of multi-source information from a single borehole, verifies the authenticity of borehole construction, forms a compaction credibility that can participate in subsequent analysis, and then combines the drainage sequence status and spatial constraints to predict the evolution of the compliance gap of the target evaluation unit, thereby realizing a linkage analysis between the verification of gas drainage borehole compaction and the predicted time to achieve compliance. Background Technology

[0002] With increasingly stringent requirements for coal mine gas drainage and control, the quality verification of drainage borehole construction and the evaluation of the control compliance process have gradually become key aspects of on-site management. Currently, information related to gas drainage boreholes is typically scattered across design records, construction records, survey data, video footage, and drainage monitoring data. The lack of unified correlation and collaborative management among these data types leads to poor consistency, incompleteness, and difficulty in traceability of borehole information, hindering the formation of a continuous analytical foundation for individual boreholes. Existing technologies for judging borehole construction quality largely rely on single-source checks based on construction records, survey results, or manual experience, lacking integrated cross-validation of multi-source information. This makes the boreholes susceptible to distortion, omissions, or inconsistencies from a single data source, resulting in inconsistent borehole performance. The reliability of determining whether actual construction has been completed is insufficient. Furthermore, in existing technologies, the results of compaction verification are usually used as a one-time conclusion, often providing only a binary judgment of whether compaction has been completed or not. The verification results are not further transformed into continuous parameters that can be used in subsequent analyses, resulting in a lack of effective connection between the authenticity of construction and subsequent treatment evaluation. In addition, in terms of gas drainage compliance evaluation, existing technologies tend to focus on analyzing the treatment effect separately based on time-series data such as drainage concentration, flow rate, or negative pressure, and rarely consider the impact of borehole construction authenticity and spatial coverage on the compliance process. This leads to a tendency for discrepancies between the expected compliance time and the actual treatment status, making it difficult to provide accurate, continuous, and effective decision-making basis for borehole adjustment, drainage optimization, and treatment acceptance.

[0003] Publication No. CN107967559A discloses a visual management system and method for evaluating gas drainage compliance. The system includes a gas drainage evaluation module, a visual interaction module, and a visual management module. The gas drainage evaluation module establishes a gas drainage pipeline network model, determines borehole layout parameters, determines the parameters of candidate gas pump models and pipeline network parameters, and verifies existing gas pump parameters. It generates a basic gas evaluation report based on the entered basic condition data of the explored mine; determines mine drainage evaluation indicators; and verifies the coal mine gas drainage compliance production capacity of the mine gas pumps. The visual interaction module displays various gas drainage compliance evaluation data, enabling data input, modification, and export through a visual interactive interface. The visual management module displays visual elements of gas drainage monitoring equipment. However, the above system is relatively crude in its organization of borehole data and has a low degree of utilization of the correlation between construction authenticity and subsequent compliance analysis. This can easily lead to insufficient reflection of differences in single-hole construction in the evaluation results, thus affecting the precision, continuity, and consistency with the actual governance status of the compliance analysis results. Summary of the Invention

[0004] To improve the above situation, the present invention provides a gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of a single borehole. This system establishes a compaction credibility that can be used for subsequent analysis by spatiotemporally correlating and archiving multi-source information from a single borehole and verifying the authenticity of borehole construction. Then, it combines the extraction time sequence status and spatial constraints to predict the evolution of the target evaluation unit's compliance gap, thereby realizing the linkage analysis between gas drainage borehole compaction verification and the expected compliance time.

[0005] The gas drainage borehole compaction verification and prediction system based on one-drill-one-file spatiotemporal correlation is implemented as follows: The gas drainage borehole compaction verification and prediction system based on one-drill-one-file spatiotemporal correlation includes a one-drill-one-file spatiotemporal correlation module, a borehole compaction verification module, and a compliance time prediction module.

[0006] The key feature is that the one-drill-one-file spatiotemporal correlation module is used to uniformly organize and correlate the design information, construction information, inclinometer trajectory information, video information, extraction information, and spatial attribution information of a single borehole, forming a single-hole spatiotemporal correlation data object. The borehole compaction verification module is used to verify whether the borehole construction is in place based on the single-hole spatiotemporal correlation data object, and output the compaction credibility and compaction conclusion. The compliance time prediction module is used to predict the compliance gap change process of the target evaluation unit based on the extraction time series data, compaction credibility, and target evaluation unit spatial constraint parameters, and output the expected compliance time.

[0007] The one-drill-one-file spatiotemporal association module is used to uniformly organize and associate the design hole information, construction information, inclinometer trajectory information, video information, extraction information, and spatial attribution information of a single borehole, forming a single-hole spatiotemporal association data object.

[0008] The single-hole spatiotemporal correlation data object is simultaneously output to both the borehole compaction verification module and the compliance time prediction module, serving as a shared data foundation for both verification and prediction.

[0009] The design borehole information includes the design borehole location, design azimuth, design dip angle, design depth, and target stratum. The construction information includes the actual drilling depth, construction start and end times, drilling parameters, and equipment operating parameters. The survey trajectory information includes the spatial coordinate sequence of the borehole along the depth direction and trajectory offset information. The video information includes the construction video timestamp and key construction segment identifiers. The extraction information includes concentration, flow rate, negative pressure, and their temporal variation data. The spatial attribution information includes the drilling site, roadway, working face, and target evaluation unit identifier to which the borehole belongs.

[0010] The target evaluation unit is the spatial analysis object corresponding to the expected achievement time output. It can be divided according to the working face range, roadway section, coal seam zone, or preset spatial grid. The system establishes a mapping relationship between the target evaluation unit and the borehole set based on the target evaluation unit identifier, so that boreholes belonging to the same target evaluation unit form a unified analysis object during the prediction process.

[0011] Preferably, the one-drill-one-file spatiotemporal correlation module uses a unified borehole identifier, a unified time reference, and a unified spatial coordinate system to perform object alignment, time alignment, and spatial alignment of multi-source data, and marks, removes, or repairs abnormal data, forming a traceable single-hole spatiotemporal correlation data chain.

[0012] Preferably, the one-drill-one-file spatiotemporal correlation module further includes a drilling construction spatiotemporal marking device. The drilling construction spatiotemporal marking device includes a camera, a time display, a housing, a mounting base, an attitude sensor, and a circuit board. The housing forms the mounting space for each component and provides protection for the internal components. The camera and time display are located on the front side of the housing. The camera is mounted at a corresponding mounting position on the upper part of the front panel of the housing, and the time display is mounted at a corresponding display window in the middle of the front panel of the housing. The attitude sensor and circuit board are fixedly placed inside the housing. The camera, time display, and attitude sensor are all electrically connected to the circuit board, which is connected to an external power supply line. The mounting base is located below the housing and is detachably connected to the housing. Preferably, an adjustable connection structure is provided between the mounting base and the housing to adjust the pitch angle of the device. In operation, the drilling construction spatiotemporal marking device is fixed near the drilling equipment or at a corresponding position in the construction area via a mounting base, ensuring the camera is facing the drilling area. Upon startup, the circuit board supplies power to the camera, time display, and attitude sensor. The time display shows the current time, the camera continuously acquires images of the construction process, and the attitude sensor synchronously acquires information about changes in the device's attitude. The circuit board processes and associates the acquired image, time, and attitude information, establishing a correspondence between them. After construction, the device outputs or stores construction record data with time and attitude markers for comparison with drilling records, survey trajectory information, and subsequent analysis data. This provides fundamental data support for verifying the authenticity of drilling operations and for spatiotemporal correlation analysis.

[0013] The borehole compaction verification module, based on single-hole spatiotemporal correlation data objects, verifies whether the borehole has been constructed in accordance with design requirements, and outputs the compaction credibility and compaction conclusion.

[0014] The borehole compaction verification module includes a rule verification submodule, a multi-source consistency verification submodule, and a compaction determination submodule.

[0015] The rule verification submodule compares the design information, construction information, and inclinometer trajectory information item by item, analyzing the degree to which the design depth is met, whether the trajectory deviation is within the allowable range, the target layer hit rate, whether the construction time is within the preset range, and whether the changes in drilling parameters meet the preset construction rules. Based on the analysis results of each verification item, rule verification features are formed. These features are standardized, mapped to a preset scoring range, and then fused according to preset weights to obtain the rule verification score.

[0016] Preferably, the preset weights are determined based on the statistical results of historical verified borehole samples, manual calibration results, or a combination of both.

[0017] The multi-source consistency verification submodule cross-compares construction information, survey trajectory information, video information, and equipment operation information. It analyzes the time deviation between the construction record time and the video timestamp, the consistency between changes in drilling footage and trajectory changes, the correspondence between the construction stage division results and key video segment tags, and the matching degree between equipment operation status and construction records. Based on the above analysis results, consistency verification features are formed.

[0018] The consistency verification features are standardized and mapped to a preset scoring range, then fused according to preset weights to obtain a consistency verification score.

[0019] Preferably, the preset weights are determined based on the statistical results of historical verified borehole samples, manual calibration results, or a combination of both.

[0020] The solidification determination submodule calculates the solidification credibility based on the rule verification score and the consistency check score, wherein the rule verification score and the consistency check score are both normalized scores after standardization processing.

[0021] Preferred, the first The reliability of a borehole's compaction can be expressed as:

[0022]

[0023] in, Indicates the rule verification score. Indicates the consistency check score. , and For parameters,

[0024] The system outputs a compaction conclusion based on a preset compaction judgment threshold. When the compaction confidence level is not lower than the threshold, the borehole is judged to be compacted; when the compaction confidence level is lower than the threshold, the borehole is judged to be not compacted or the compaction is questionable. The compaction judgment threshold is determined based on the statistical analysis results of historical verified borehole samples, manual calibration results, or on-site verification results.

[0025] The target achievement time prediction module predicts the estimated achievement time of the target evaluation unit based on sampling time-series data, reliability of the test, and spatial information of the target evaluation unit.

[0026] The target achievement time prediction module includes a sampling time-series feature extraction submodule, a spatial constraint construction submodule, and a target achievement time prediction submodule.

[0027] The extraction time-series feature extraction submodule summarizes and analyzes the extraction time-series data of each borehole within the target evaluation unit, extracting features such as concentration change, flow rate change, negative pressure change, attenuation trend, and stability. Based on these features, it forms a set of extraction status features.

[0028] The set of sampling status features is normalized and mapped to a preset feature interval, and then fused according to preset weights to obtain a comprehensive sampling status quantity. The preset weights are determined based on the statistical results of historical governance acceptance samples, manual calibration results, or a combination of both.

[0029] The spatial constraint construction submodule constructs spatial constraint features based on the actual drilling trajectory, drilling reliability, and the spatial boundary of the target evaluation unit.

[0030] The system determines the effective control range of a single borehole based on the borehole trajectory and control capability. This effective control range is defined as the spatial envelope of a single borehole formed by a continuous local control domain constructed along the borehole trajectory. For the same target evaluation unit, the system performs spatial merging and boundary superposition calculations on the spatial envelopes of multiple boreholes to determine the coverage, blank area, or blank area proportion of the target evaluation unit. These parameters are then used as spatial constraint parameters for predicting the achievement time.

[0031] Preferred, the first Each drill hole at time The control radius can be expressed as

[0032]

[0033] in, Indicates the basic control radius. Indicates a high degree of credibility. To solidify the credibility correction coefficient, To control the range extension rate parameter, The cumulative sampling duration,

[0034] The system constructs a continuous local control domain along the borehole trajectory based on the control radius, and combines these continuous local control domains to form a single-hole spatial envelope. For boreholes with a compaction confidence level lower than a preset threshold, the corresponding control capability is reduced or they are not included in the spatial constraint construction process to minimize the impact of inadequate construction on the prediction results.

[0035] The target achievement time prediction submodule calculates the difference between the current state of the target evaluation unit and the preset target achievement conditions based on the comprehensive sampling status, compaction reliability, and spatial constraint parameters, thus obtaining the current target achievement gap.

[0036] The system matches historical similar target evaluation unit samples with the current target evaluation unit state, and based on the evolutionary patterns of the historical similar target evaluation unit samples, uses one or more of the following models: regression model, time series prediction model, or training model, to calculate the change process of the achievement gap within the prediction time window, thereby determining the expected achievement time.

[0037] Preferably, the historical similarity target evaluation unit is determined by matching one or more factors among coal seam occurrence conditions, geological structure complexity, borehole layout parameters, extraction conditions, and construction equipment conditions.

[0038] Preferred, the first Each target evaluation unit at time... The gap in meeting the standards is recorded as Its change process within the prediction time window can be expressed as:

[0039]

[0040] in, Indicates the first Each target evaluation unit at time... The difference relative to the preset compliance conditions. This indicates the overall extraction status. Indicates the overall level of solid work. Indicates spatial constraint parameters, The function representing the rate of change of the gap between the achievement and the standard. Indicates the prediction step size.

[0041] When the target evaluation unit meets the spatial constraints within the prediction time window, and the achievement gap drops below the preset achievement standard and meets the continuous achievement condition, the system outputs the earliest time when the achievement condition is met as the expected achievement time. When the spatial constraints are not met, only the non-achievement status and corresponding spatial location prompt information are output.

[0042] Beneficial effects

[0043] First, it realizes the unified association and centralized management of multi-source information from boreholes, which can improve the consistency, integrity and traceability of borehole data, and enhance the informatization and refinement of the gas extraction and control process.

[0044] Second, quantifying the borehole compaction verification results into compaction credibility and continuing to participate in subsequent analysis can enhance the correlation between compaction verification and compliance prediction, and improve the continuity and reliability of the overall analysis results.

[0045] Third, incorporating construction authenticity, extraction status, and spatial constraints into the same prediction process can improve the consistency between the expected time to achieve the standard and the actual treatment status, providing a basis for treatment optimization and acceptance decisions. Attached Figure Description

[0046] Figure 1 This is a three-dimensional structural diagram of a drilling construction spatiotemporal marking device according to the present invention;

[0047] Figure 2 This is a three-dimensional structural diagram of a drilling construction time and space marking device according to the present invention.

[0048] In the attached diagram

[0049] The components are: camera device (1), time display (2), housing (3), mounting base (4), attitude sensor (5), and circuit board (6). Detailed Implementation

[0050] This invention relates to a gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of a single drill bit and a single record. The system includes a single drill bit and a single record spatiotemporal correlation module, a borehole compaction verification module, and a target achievement time prediction module.

[0051] The key feature is that the one-drill-one-file spatiotemporal correlation module is used to uniformly organize and correlate the design information, construction information, inclinometer trajectory information, video information, extraction information, and spatial attribution information of a single borehole, forming a single-hole spatiotemporal correlation data object. The borehole compaction verification module is used to verify whether the borehole construction is in place based on the single-hole spatiotemporal correlation data object, and output the compaction credibility and compaction conclusion. The compliance time prediction module is used to predict the compliance gap change process of the target evaluation unit based on the extraction time series data, compaction credibility, and target evaluation unit spatial constraint parameters, and output the expected compliance time.

[0052] The one-drill-one-file spatiotemporal association module is used to uniformly organize and associate the design hole information, construction information, inclinometer trajectory information, video information, extraction information, and spatial attribution information of a single borehole, forming a single-hole spatiotemporal association data object.

[0053] The single-hole spatiotemporal correlation data object is simultaneously output to both the borehole compaction verification module and the compliance time prediction module, serving as a shared data foundation for both verification and prediction.

[0054] The design borehole information includes the design borehole location, design azimuth, design dip angle, design depth, and target stratum. The construction information includes the actual drilling depth, construction start and end times, drilling parameters, and equipment operating parameters. The survey trajectory information includes the spatial coordinate sequence of the borehole along the depth direction and trajectory offset information. The video information includes the construction video timestamp and key construction segment identifiers. The extraction information includes concentration, flow rate, negative pressure, and their temporal variation data. The spatial attribution information includes the drilling site, roadway, working face, and target evaluation unit identifier to which the borehole belongs.

[0055] The target evaluation unit is the spatial analysis object corresponding to the expected achievement time output. It can be divided according to the working face range, roadway section, coal seam zone, or preset spatial grid. The system establishes a mapping relationship between the target evaluation unit and the borehole set based on the target evaluation unit identifier, so that boreholes belonging to the same target evaluation unit form a unified analysis object during the prediction process.

[0056] Preferably, the one-drill-one-file spatiotemporal correlation module uses a unified borehole identifier, a unified time reference, and a unified spatial coordinate system to perform object alignment, time alignment, and spatial alignment of multi-source data, and marks, removes, or repairs abnormal data, forming a traceable single-hole spatiotemporal correlation data chain.

[0057] Preferably, the one-drill-one-file spatiotemporal correlation module further includes a drilling construction spatiotemporal marking device, which includes a camera (1), a time display (2), a housing (3), a mounting base (4), an attitude sensor (5), and a circuit board (6). The housing (3) is used to form the installation space for each component and to provide protection for the internal components. The camera (1) and the time display (2) are located on the front side of the housing (3). The camera (1) is installed at the corresponding mounting position on the upper part of the front panel of the housing (3). The time display (2) is installed at the corresponding display window in the middle of the front panel of the housing (3). The attitude sensor (5) and the circuit board (6) are fixedly placed inside the housing (3). The camera (1), the time display (2), and the attitude sensor (5) are all electrically connected to the circuit board (6). The circuit board (6) is connected to an external power supply line. The mounting base (4) is located below the housing (3) and is detachably connected to the housing (3). Preferably, the mounting base (4) and the housing (3) are connected to each other. 3) An adjustable connection structure is provided between them to adjust the pitch angle and orientation of the device. When in use, the drilling construction spatiotemporal marking device is fixed near the drilling construction equipment or at the corresponding position in the construction area via the mounting base (4), so that the camera device (1) faces the drilling construction area. After the device is started, the circuit board (6) supplies power to the camera device (1), the time display (2) and the attitude sensor (5). The time display (2) displays the current time information. The camera device (1) continuously collects image information of the construction process. The attitude sensor (5) synchronously collects the attitude change information of the device. The circuit board (6) performs unified processing and associated storage of the collected image information, time information and attitude information, so that the time information, image information and attitude change information in the construction process form a corresponding relationship. After the construction is completed, the device outputs or stores construction record data with time and attitude markers, so as to compare with the drilling construction record, inclination trajectory information and subsequent analysis data, thereby providing basic data support for the verification of the authenticity of drilling construction and spatiotemporal correlation analysis.

[0058] The borehole compaction verification module, based on single-hole spatiotemporal correlation data objects, verifies whether the borehole has been constructed in accordance with design requirements, and outputs the compaction credibility and compaction conclusion.

[0059] The borehole compaction verification module includes a rule verification submodule, a multi-source consistency verification submodule, and a compaction determination submodule.

[0060] The rule verification submodule compares the design information, construction information, and inclinometer trajectory information item by item, analyzing the degree to which the design depth is met, whether the trajectory deviation is within the allowable range, the target layer hit rate, whether the construction time is within the preset range, and whether the changes in drilling parameters meet the preset construction rules. Based on the analysis results of each verification item, rule verification features are formed. These features are standardized, mapped to a preset scoring range, and then fused according to preset weights to obtain the rule verification score.

[0061] Preferably, the preset weights are determined based on the statistical results of historical verified borehole samples, manual calibration results, or a combination of both.

[0062] The multi-source consistency verification submodule cross-compares construction information, survey trajectory information, video information, and equipment operation information. It analyzes the time deviation between the construction record time and the video timestamp, the consistency between changes in drilling footage and trajectory changes, the correspondence between the construction stage division results and key video segment tags, and the matching degree between equipment operation status and construction records. Based on the above analysis results, consistency verification features are formed.

[0063] The consistency verification features are standardized and mapped to a preset scoring range, then fused according to preset weights to obtain a consistency verification score.

[0064] Preferably, the preset weights are determined based on the statistical results of historical verified borehole samples, manual calibration results, or a combination of both.

[0065] The solidification determination submodule calculates the solidification credibility based on the rule verification score and the consistency check score, wherein the rule verification score and the consistency check score are both normalized scores after standardization processing.

[0066] Preferred, the first The reliability of a borehole's compaction can be expressed as:

[0067]

[0068] in, Indicates the rule verification score. Indicates the consistency check score. , and For parameters,

[0069] The system outputs a compaction conclusion based on a preset compaction judgment threshold. When the compaction confidence level is not lower than the threshold, the borehole is judged to be compacted; when the compaction confidence level is lower than the threshold, the borehole is judged to be not compacted or the compaction is questionable. The compaction judgment threshold is determined based on the statistical analysis results of historical verified borehole samples, manual calibration results, or on-site verification results.

[0070] The target achievement time prediction module predicts the estimated achievement time of the target evaluation unit based on sampling time-series data, reliability of the test, and spatial information of the target evaluation unit.

[0071] The target achievement time prediction module includes a sampling time-series feature extraction submodule, a spatial constraint construction submodule, and a target achievement time prediction submodule.

[0072] The extraction time-series feature extraction submodule summarizes and analyzes the extraction time-series data of each borehole within the target evaluation unit, extracting features such as concentration change, flow rate change, negative pressure change, attenuation trend, and stability. Based on these features, it forms a set of extraction status features.

[0073] The set of sampling status features is normalized and mapped to a preset feature interval, and then fused according to preset weights to obtain a comprehensive sampling status quantity. The preset weights are determined based on the statistical results of historical governance acceptance samples, manual calibration results, or a combination of both.

[0074] The spatial constraint construction submodule constructs spatial constraint features based on the actual drilling trajectory, drilling reliability, and the spatial boundary of the target evaluation unit.

[0075] The system determines the effective control range of a single borehole based on the borehole trajectory and control capability. This effective control range is defined as the spatial envelope of a single borehole formed by a continuous local control domain constructed along the borehole trajectory. For the same target evaluation unit, the system performs spatial merging and boundary superposition calculations on the spatial envelopes of multiple boreholes to determine the coverage, blank area, or blank area proportion of the target evaluation unit. These parameters are then used as spatial constraint parameters for predicting the achievement time.

[0076] Preferred, the first Each drill hole at time The control radius can be expressed as

[0077]

[0078] in, Indicates the basic control radius. Indicates a high degree of credibility. To solidify the credibility correction coefficient, To control the range extension rate parameter, The cumulative sampling duration,

[0079] The system constructs a continuous local control domain along the borehole trajectory based on the control radius, and combines these continuous local control domains to form a single-hole spatial envelope. For boreholes with a compaction confidence level lower than a preset threshold, the corresponding control capability is reduced or they are not included in the spatial constraint construction process to minimize the impact of inadequate construction on the prediction results.

[0080] The target achievement time prediction submodule calculates the difference between the current state of the target evaluation unit and the preset target achievement conditions based on the comprehensive sampling status, compaction reliability, and spatial constraint parameters, thus obtaining the current target achievement gap.

[0081] The system matches historical similar target evaluation unit samples with the current target evaluation unit state, and based on the evolutionary patterns of the historical similar target evaluation unit samples, uses one or more of the following models: regression model, time series prediction model, or training model, to calculate the change process of the achievement gap within the prediction time window, thereby determining the expected achievement time.

[0082] Preferably, the historical similarity target evaluation unit is determined by matching one or more factors among coal seam occurrence conditions, geological structure complexity, borehole layout parameters, extraction conditions, and construction equipment conditions.

[0083] Preferred, the first Each target evaluation unit at time... The gap in meeting the standards is recorded as Its change process within the prediction time window can be expressed as:

[0084]

[0085] in, Indicates the first Each target evaluation unit at time... The difference relative to the preset compliance conditions. This indicates the overall extraction status. Indicates the overall level of solid work. Indicates spatial constraint parameters, The function representing the rate of change of the gap between the achievement and the standard. Indicates the prediction step size.

[0086] When the target evaluation unit meets the spatial constraints within the prediction time window, and the achievement gap decreases below the preset achievement standard and meets the continuous achievement condition, the system outputs the earliest time when the achievement condition is met as the expected achievement time. When the spatial constraints are not met, only the non-achievement status and corresponding spatial location prompt information are output.

[0087] In practice, the system first collects design information, construction information, survey trajectory information, video information, extraction information, and spatial attribution information for each borehole. The collected multi-source data is then uniformly identified, time-aligned, and spatially aligned to form a spatiotemporal correlated data object corresponding to each borehole. Simultaneously, a mapping relationship between the target evaluation unit and the borehole set is established based on the spatial division results of the target evaluation unit. After completing the construction of the single-hole spatiotemporal correlated data, the system verifies the authenticity of the borehole construction. During the verification process, on the one hand, it performs rule-based verification of the borehole construction status based on the correspondence between design requirements and construction results; on the other hand, it performs multi-source consistency verification by combining construction records, survey trajectories, video information, and equipment operation information. The system integrates the results of these two types of verifications to obtain the borehole compaction credibility and compaction conclusion. After obtaining the borehole compaction credibility, the system analyzes the current extraction status of the target evaluation unit. The system summarizes the extraction time-series data of each borehole within the target evaluation unit, extracts characteristic parameters reflecting the extraction change trend and stability, and forms the target evaluation unit. The system first obtains the comprehensive extraction status quantity at the meta-level. Then, based on the actual drilling trajectory, compaction reliability, and spatial boundary of the target evaluation unit, the system constructs spatial constraints. For boreholes that meet the participation conditions, the system forms the effective control range of a single borehole according to its control capability, and spatially merges the effective control ranges of multiple boreholes within the same target evaluation unit to obtain the coverage status of the target evaluation unit and the corresponding spatial constraint parameters. On this basis, the system uses the comprehensive extraction status quantity, compaction reliability, and spatial constraint parameters as joint inputs to calculate the difference between the current status of the target evaluation unit and the preset compliance conditions. Combining the evolution law of similar historical target evaluation units, the system predicts the change process of the compliance gap within the prediction time window. When the prediction result shows that the target evaluation unit meets the spatial constraint conditions within the prediction time window, and the compliance gap drops below the preset compliance standard and meets the continuous compliance condition, the system outputs the corresponding expected compliance time. When the target evaluation unit does not meet the spatial constraint conditions within the prediction time window, the system outputs the non-compliance status and corresponding spatial location prompt information.

[0088] The one-drill-one-file spatiotemporal association module is used to uniformly organize and associate the design information, construction information, inclination trajectory information, video information, extraction information and spatial attribution information of a single borehole, forming the design of a single-hole spatiotemporal association data object. This can unify the originally scattered multi-source heterogeneous data under a single borehole object, improving the data consistency and traceability of subsequent verification and prediction.

[0089] The rule verification submodule compares the design information, construction information, and inclination trajectory information item by item, and analyzes the degree of design depth satisfaction, whether the trajectory deviation is within the allowable range, the target layer hit status, whether the construction time is within the preset range, and whether the changes in drilling parameters meet the design of the preset construction rules. It can systematically verify the drilling construction status from the two aspects of design compliance and construction rationality, and enhance the engineering relevance of the drilling verification.

[0090] The multi-source consistency verification submodule is designed to cross-compare construction information, inclinometer trajectory information, video information and equipment operation information. This design can avoid interference from the verification conclusion caused by the distortion or absence of a single data source, and improve the reliability and anti-interference ability of the borehole compaction judgment.

[0091] Unlike the previous method that only outputs the compaction verification results as the final judgment conclusion, this invention quantifies the compaction verification results into compaction credibility and continues to input the compaction credibility into the target time prediction module. This design can transform the authenticity of drilling construction from a static conclusion into a continuously transferable constraint, so that the compaction verification results can truly participate in the subsequent prediction process and enhance the overall linkage of the system.

[0092] The system determines the effective control range of a single borehole based on the borehole trajectory and control capability. The effective control range of a single borehole is the design of the spatial envelope of a single borehole formed by a continuous local control domain constructed along the borehole trajectory direction. It can combine the borehole trajectory shape with the control capability to construct spatial constraints, better reflect the actual control range of the borehole, and reduce the deviation caused by estimating only based on the ideal borehole shape.

[0093] The design of reducing the corresponding control capability or not including boreholes with a compaction confidence level lower than the preset threshold can suppress the misleading effect of poorly constructed boreholes on the prediction results of coverage status and compliance time, thereby improving the consistency between the prediction results and the actual governance status.

[0094] The goal is to establish a spatiotemporal correlation archive of multi-source information from a single borehole, verify the authenticity of borehole construction, form a reliability index for subsequent analysis, and then combine the extraction time sequence and spatial constraints to predict the evolution of the target evaluation unit's compliance gap, thereby achieving the purpose of linking the verification of gas extraction borehole compaction with the expected compliance time for analysis.

[0095] Other similar embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art that are not disclosed herein.

[0096] The above embodiments are preferred embodiments of the present invention. Due to space limitations, the applicant has not used other embodiments, but this is not intended to limit the scope of the present invention. Any person skilled in the art can make some modifications without departing from the scope of the present invention; that is, all equivalent modifications made in accordance with the present invention should be covered by the scope of the present invention.

Claims

1. A gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of one drill bit and one record, characterized in that, The system includes a one-drill-one-file spatiotemporal correlation module, a borehole compaction verification module, and a target achievement time prediction module. The one-drill-one-file spatiotemporal correlation module is used to uniformly organize and correlate the design information, construction information, inclination trajectory information, video information, extraction information, and spatial attribution information of a single borehole to form a single-hole spatiotemporal correlation data object. The borehole compaction verification module is used to verify whether the borehole construction is in place based on the single-hole spatiotemporal correlation data object and output the compaction credibility and compaction conclusion. The target achievement time prediction module is used to predict the change process of the target evaluation unit's target achievement gap based on the extraction time series data, compaction credibility, and target evaluation unit spatial constraint parameters, and output the expected target achievement time.

2. The gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of one drill and one file as described in claim 1, characterized in that... The one-drill-one-file spatiotemporal association module is used to uniformly organize and associate the design hole information, construction information, inclination trajectory information, video information, extraction information and spatial attribution information of a single borehole to form a single-hole spatiotemporal association data object. The single-hole spatiotemporal association data object is simultaneously output to the borehole compaction verification module and the standard completion time prediction module as a shared data basis for verification and prediction.

3. The gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of one drill and one file as described in claim 1, characterized in that... The borehole compaction verification module, based on single-hole spatiotemporal correlation data objects, verifies whether the borehole has been constructed in accordance with design requirements and outputs compaction credibility and compaction conclusion. The borehole compaction verification module includes a rule verification submodule, a multi-source consistency verification submodule, and a compaction judgment submodule. The rule verification submodule compares the design information, construction information, and inclination trajectory information item by item, analyzes the degree of design depth satisfaction, whether the trajectory deviation is within the allowable range, the target layer hit situation, whether the construction time is within the preset range, and whether the changes in drilling parameters meet the preset construction rules. Based on the analysis results of each verification item, rule verification features are formed. After standardization, the rule verification features are mapped to a preset scoring range and fused according to preset weights to obtain the rule verification score. The preset weights are determined based on the statistical results of historical verified borehole samples, manual calibration results, or a combination of both.

4. The gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of one drill and one file as described in claim 1, characterized in that... The target achievement time prediction module predicts the expected achievement time of the target evaluation unit based on extraction time-series data, compaction reliability, and spatial information of the target evaluation unit. The target achievement time prediction module includes an extraction time-series feature extraction submodule, a spatial constraint construction submodule, and a target achievement time prediction submodule. The extraction time-series feature extraction submodule summarizes and analyzes the extraction time-series data of each borehole in the target evaluation unit, extracts concentration change features, flow rate change features, negative pressure change features, attenuation trend features, and stability features, and forms an extraction state feature set based on the above features. The extraction state feature set is normalized and mapped to a preset feature interval, and then fused according to preset weights to obtain a comprehensive extraction state quantity. The preset weights are determined based on the statistical results of historical governance acceptance samples, manual calibration results, or a combination of both.

5. The gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of one drill and one file as described in claim 2, characterized in that... The design borehole information includes the design borehole location, design azimuth, design dip angle, design depth, and target stratum. The construction information includes the actual drilling depth, construction start and end times, drilling parameters, and equipment operating parameters. The survey trajectory information includes the spatial coordinate sequence of the borehole along the depth direction and trajectory offset information. The video information includes the construction video timestamp and key construction segment identifiers. The extraction information includes concentration, flow rate, negative pressure, and their temporal variation data. The spatial attribution information includes the drilling site, roadway, working face, and target evaluation unit identifier to which the borehole belongs.

6. The gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of one drill and one file as described in claim 2, characterized in that... The target evaluation unit is the spatial analysis object corresponding to the expected achievement time output. It can be divided according to the working face range, roadway section, coal seam zone or preset spatial grid. The system establishes a mapping relationship between the target evaluation unit and the borehole set based on the target evaluation unit identifier, so that boreholes belonging to the same target evaluation unit form a unified analysis object in the prediction process. The one-drill-one-file spatiotemporal correlation module performs object alignment, time alignment and spatial alignment of multi-source data through unified borehole identifier, unified time reference and unified spatial coordinate system, and marks, removes or repairs abnormal data to form a traceable single-hole spatiotemporal correlation data chain.

7. The gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of one drill and one file as described in claim 2, characterized in that... The one-drill-one-file spatiotemporal correlation module also includes a drilling construction spatiotemporal marking device. The drilling construction spatiotemporal marking device includes a camera, a time display, a housing, a mounting base, an attitude sensor, and a circuit board. The housing is used to form an installation space for each component and to provide protection for the internal components. The camera and the time display are located on the front side of the housing. The camera is installed at the corresponding mounting position on the upper part of the front panel of the housing, and the time display is installed at the corresponding display window in the middle of the front panel of the housing. The attitude sensor and the circuit board are fixedly placed inside the housing. The camera, the time display, and the attitude sensor are all electrically connected to the circuit board. The circuit board is connected to an external power supply line. The mounting base is located below the housing and is detachably connected to the housing. Preferably, the mounting base and the housing are provided with an adjustable connection structure to adjust the pitch angle and orientation of the device.

8. The gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of one drill and one file as described in claim 3, characterized in that... The multi-source consistency verification submodule cross-compares construction information, survey trajectory information, video information, and equipment operation information. It analyzes the time deviation between the construction record time and the video timestamp, the consistency between drilling footage changes and trajectory changes, the correspondence between the construction stage division results and key video segment tags, and the matching degree between equipment operation status and construction records. Based on the above analysis results, consistency verification features are formed. These features are standardized and mapped to a preset scoring interval, then fused according to preset weights to obtain a consistency verification score. The preset weights are determined based on historical verified borehole sample statistics, manual calibration results, or a combination of both. The compaction judgment submodule calculates the compaction reliability based on the rule verification score and the consistency verification score, where both the rule verification score and the consistency verification score are normalized scores after standardization. The reliability of a borehole's compaction can be expressed as: ,in, Indicates the rule verification score. Indicates the consistency check score. , and The system outputs a compaction conclusion based on a preset compaction judgment threshold. When the compaction confidence is not lower than the threshold, the borehole is judged to be compacted. When the compaction confidence is lower than the threshold, the borehole is judged to be not compacted or the compaction is questionable. The compaction judgment threshold is determined based on the statistical analysis results of historical verified borehole samples, manual calibration results, or on-site verification results.

9. A gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of one drill and one file, as described in claim 4, is characterized in that... The spatial constraint construction submodule constructs spatial constraint features based on the actual drilling trajectory, drilling reliability, and the spatial boundary of the target evaluation unit. The system determines the effective control range of a single borehole based on the borehole trajectory and control capability. The effective control range of a single borehole is the spatial envelope formed by a continuous local control domain constructed along the borehole trajectory direction. For the same target evaluation unit, the system performs spatial merging and boundary superposition calculations on the spatial envelopes of multiple boreholes to determine the coverage, blank area, or blank area proportion of the target evaluation unit, and uses these as spatial constraint parameters for predicting the achievement time. Each drill hole at time The control radius can be expressed as ,in, Indicates the basic control radius. Indicates a high degree of credibility. To solidify the credibility correction coefficient, To control the range extension rate parameter, To accumulate the extraction duration, the system constructs a continuous local control domain along the borehole trajectory direction based on the control radius, and combines the continuous local control domains to form a single-hole spatial envelope. For boreholes with a compaction confidence level lower than a preset threshold, the corresponding control capability is reduced or they are not included in the spatial constraint construction process to reduce the impact of inadequate construction on the prediction results.

10. A gas drainage borehole compaction verification and prediction system based on spatiotemporal correlation of one drill and one file, as described in claim 4, is characterized in that... The target achievement time prediction submodule calculates the difference between the current state of the target evaluation unit and the preset target achievement conditions based on the comprehensive extraction status, compaction reliability, and spatial constraint parameters, obtaining the current target achievement gap. The system matches historical similar target evaluation unit samples with the current target evaluation unit state, and based on the evolution law of the historical similar target evaluation unit samples, uses one or more of the following: regression model, time series prediction model, or training model, to calculate the change process of the target achievement gap within the prediction time window, thereby determining the expected target achievement time. The historical similar target evaluation units are determined by matching one or more of the following factors: coal seam occurrence conditions, geological structure complexity, borehole layout parameters, extraction conditions, and construction equipment conditions. Each target evaluation unit at time... The gap in meeting the standards is recorded as Its change process within the prediction time window can be represented as: ,in, Indicates the first Each target evaluation unit at time... The difference relative to the preset compliance conditions. This indicates the overall extraction status. Indicates the overall level of solid work. Indicates spatial constraint parameters, The function representing the rate of change of the gap between the achievement and the standard. The prediction step size is indicated. When the target evaluation unit meets the spatial constraints within the prediction time window, and the achievement gap drops below the preset achievement standard and meets the continuous achievement condition, the system outputs the earliest time when the achievement condition is met as the expected achievement time. When the spatial constraints are not met, only the non-achievement status and corresponding spatial location prompt information are output.

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