An irregular hole pressure relief forming method and system

Abstract

The application relates to the technical field of downhole drilling and pressure relief, and particularly discloses a non-regular hole pressure relief forming method and system. The method comprises the following steps: obtaining stress baseline data and monitoring point information, generating a time baseline through preprocessing, calibration and time synchronization; generating a hole shape strategy graph based on the time baseline and stress data through regional aggregation and gradient analysis; planning a trajectory, calculating parameters and feeding forward prediction based on the hole shape strategy graph; formulating a triggering strategy and a phased expansion scheme; forming a correction parameter through online control, attitude solution and parameter correction; and finally completing hole forming execution and structured archiving. The application realizes closed-loop control from stress sensing to hole forming execution, and improves the forming precision and process stability of the non-regular hole under complex surrounding rock conditions.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of downhole drilling and pressure relief, and particularly relates to a non-regular hole pressure relief forming method and system. BACKGROUND

[0002] In the technical field of downhole drilling and pressure relief, the existing scheme of non-regular hole pressure relief forming generally relies on manual experience or single sensor data to guide drilling operation, and has limitations such as insufficient data preprocessing, lack of time synchronization and suboptimal strategy generation. The existing method adopts segmented data processing and manual parameter setting, which is prone to low forming precision and poor stability in complex surrounding rock stress environment, and is difficult to meet the stable implementation of non-regular hole pressure relief. For the joint processing of stress baseline data, monitoring point information and time baseline, the existing technology generally lacks integrated preprocessing, calibration and consistency checking, and is difficult to form a consistent process of acquisition-alignment-judgment-control-recording in the application scenario of roadway pressure relief, resulting in inaccurate hole shape control and low construction efficiency. SUMMARY

[0003] In order to solve the above technical problems, the present application provides a non-regular hole pressure relief forming method, comprising:

[0004] Acquire stress baseline data and monitoring point information, and perform preprocessing of grouping collection, outlier rejection, drift correction and noise suppression, and calibration of monitoring point extraction, zero point offset, range boundary and sampling rhythm calibration factor calculation and multi-dimensional consistency checking; perform time synchronization and unified coding to generate a time baseline;

[0005] Acquire the time baseline and the stress baseline data, and perform alignment and registration, regional aggregation and gradient analysis to obtain a hot zone identification result; perform hierarchical and boundary refinement to obtain a pressure relief target region set, perform structured modeling and rule binding to generate a hole shape strategy atlas;

[0006] Acquire the hole shape strategy atlas and the time baseline, perform spatial fitting and path constraint to obtain a main hole guide trajectory, extract working condition elements to perform parameter calculation and tabular configuration to obtain a feed speed parameter table, perform joint analysis and trend extrapolation to generate feedforward prediction information;

[0007] Based on the hole shape strategy atlas and the feedforward prediction information, perform trigger strategy formulation, branch parameter calculation and phased arrangement processing to generate a phased expansion scheme;

[0008] Based on the phased expansion scheme, perform online control, attitude solution and parameter correction processing to generate a corrected guide trajectory and a corrected expansion parameter;

[0009] Acquire the corrected guide trajectory and the corrected expansion parameter, perform hole forming execution, record arrangement and archiving processing to generate construction memory data.

[0010] Further, the stress baseline data and the monitoring point information include:

[0011] The stress baseline data refers to the original voltage or frequency signals collected by the stress monitoring sensors arranged in the surrounding rock of the roadway, which are converted into measured data sets of the surrounding rock stress in force value units, containing absolute stress values, stress change rates, and stress change amounts relative to the initial state recorded in time series;

[0012] The monitoring point information refers to the metadata related to stress data collection, specifically including the unique identifier, spatial coordinates, roadway section number, surrounding rock category label, sensor model and range, installation azimuth and inclination, initial installation time, latest calibration time, data collection start and end time stamps, sampling frequency, and device operation status log of each monitoring point.

[0013] Further, the hole shape strategy map and the time baseline are obtained, and the main hole guide trajectory is obtained by spatial fitting and path constraint, including:

[0014] The regional units, rule entries, and clause integrations carried in the hole shape strategy map are read and analyzed, a retrieval window consistent with the time baseline is established, and a regional set corresponding to the current construction batch is extracted in sequence according to the section number, location index, and time index within the retrieval window;

[0015] According to the description of the path constraint clause in the hole shape strategy map, the regional set is subjected to spatial fitting processing, and the outer boundary of the region, the internal sub-region, and the adjacent attachment relationship are mapped into executable path constraints to form a path candidate set containing start points, transition points, and end points;

[0016] The time baseline and the path candidate set are jointly checked to eliminate path segments that are not reachable within the current time window or have overlapping conflicts with the previous time window, and the remaining path segments are sorted according to the priority rules in the hole shape strategy map to generate a path sequence corresponding to the section number one by one;

[0017] In combination with the clause integration in the hole shape strategy map, the path sequence is subjected to segment-by-segment angle limit, curvature limit, and minimum distance limit to form a path constraint set that satisfies the regional attachment relationship and time sequence clause, and the path sequence is modified segment by segment by the path constraint set to eliminate the intersection and intrusion with the adjacent region boundary; the modified path sequence and the time baseline are recorded synchronously, and the section number, location index, and time index are bound at the sequence nodes to obtain the main hole guide trajectory.

[0018] Further, the working condition elements are extracted for parameter calculation and tabular configuration to obtain the feed speed parameter table, including:

[0019] The nodes, paragraphs and turning positions of the main hole guide trajectory are traversed, the path information bound with the section number, position index and time index is rearranged according to the construction process, and a trajectory section set with sequence constraints is formed;

[0020] The working condition elements are extracted from the trajectory section set, including the trajectory section length, turning angle, adjacent boundary distance and section switching mark, and the integrity verification is performed on the working condition elements to eliminate missing and conflicting items;

[0021] The working condition elements passing the verification are checked for consistency according to the path constraint clauses in the hole shape strategy map, and the matching relationship between the working condition elements and the path constraint set in space and time sequence is confirmed;

[0022] According to the working condition elements and the time baseline, parameter calculation is performed on each trajectory section to obtain the sectional configuration results of the three types of parameters: feed amount, rotation speed and advance rhythm;

[0023] The parameter configuration results are subjected to section splicing and transition smoothing to ensure that the adjacent trajectory sections have continuous transition in feed amount and rotation speed without sudden changes, and the transition smoothed parameters are bound with the trajectory section set one by one;

[0024] According to the section number, position index and time index, the binding results are tabulated to generate a feed and rotation speed parameter table with trajectory sections as rows and feed amount, rotation speed and advance rhythm as columns, and the time sequence positions corresponding to the main hole guide trajectory nodes are recorded in the parameter table.

[0025] Further, joint analysis and trend extrapolation are performed to generate feedforward prediction information, including:

[0026] The trajectory geometric information and parameter configuration information in the joint sequence are subjected to joint analysis to identify three types of situations: long trajectory sections, sharp turning sections and boundary proximity sections, and the sectional description of parameter changes is established for different situations. The sections with slow changes, sections with significant changes and sections containing section switching marks are separated to form a parameter change segment set;

[0027] The parameter change segment set is extrapolated under the time baseline, the segments in the adjacent time window are spliced and rearranged, the overlapping and contradictory segments are removed, and the continuous segment sequence for extrapolation is obtained; on the continuous segment sequence, according to the clause integration of the hole shape strategy map, a warning mark is set for the section that may trigger the branch expansion, and a transition mark is set for the parameter change of the long track section and the sharp turning section; on the basis of the continuous segment sequence, trend extrapolation is carried out, the change direction of the feed amount, the rotating speed and the advancing rhythm in the adjacent time window is extended and described, and the leading suggestion of the parameters is given combined with the geometric trend of the main hole guide track; the leading suggestion is combined with the warning mark and the transition mark to generate the feedforward prediction information carrying the section number, the position index and the time index, and the time baseline is used as the unified time coordinate for storage and labeling.

[0028] Further, the description of the path constraint clause includes the mapping of the outer boundary of the region, the internal sub-region and the adjacent attachment relationship.

[0029] Further, the restrictions applied to the path sequence section by section include the turning angle limit, the curvature limit and the minimum distance limit.

[0030] Further, the parameter configuration result is subjected to section splicing and transition smoothing to ensure that the continuous transition of adjacent track sections in the feed amount and the rotating speed does not produce mutation.

[0031] Further, the joint analysis includes identifying three cases of long track sections, sharp turning sections and boundary approaching sections, and establishing a segmented description of parameter changes for different cases.

[0032] Further, a non-regular hole pressure relief forming system applied to the method described in any of the above, comprising:

[0033] A data acquisition and calibration module is used to acquire stress baseline data and monitoring point information and to pre-process and suppress noise, and to extract monitoring points from stress baseline data and to calibrate and check consistency, and to synchronize and unify the monitoring point calibration information to generate a time baseline;

[0034] A region analysis module is used to perform region aggregation and gradient analysis based on the time baseline and the stress baseline data to obtain a hot zone identification result, and to extract candidate regions from the hot zone identification result to obtain a set of pressure relief target regions by grading and boundary refinement;

[0035] A strategy generation module is used to perform structured modeling and rule binding on the set of pressure relief target regions to generate a hole shape strategy map;

[0036] A trajectory and parameter generation module is configured to perform spatial fitting and path constraint based on a hole shape strategy atlas and a time baseline to obtain a main hole guide trajectory, extract working condition elements from the main hole guide trajectory to perform parameter calculation and tabular configuration to obtain a feed speed parameter table, and perform joint analysis and trend extrapolation of the main hole guide trajectory and the feed speed parameter table to generate feedforward prediction information.

[0037] A trigger strategy module is configured to perform conditional combination and threshold setting based on the hole shape strategy atlas and the feedforward prediction information to obtain a trigger strategy, determine a branch position from the trigger strategy to perform direction and amplitude calculation to obtain branch expansion parameters, and perform stage-based arrangement and order configuration of the branch expansion parameters to generate a stage-based expansion scheme.

[0038] An online control module is configured to perform online control and data acquisition based on the stage-based expansion scheme and the main hole guide trajectory to obtain online stress feedback data, extract attitude information from the online stress feedback data to perform solving and checking to obtain attitude solving results, and compare the attitude solving results with the online stress feedback data to generate corrected guide trajectories and corrected expansion parameters.

[0039] A hole forming execution module is configured to perform main hole and branch hole forming based on the corrected guide trajectories and the corrected expansion parameters to obtain hole forming element data.

[0040] A record and archive module is configured to extract geometric and timing information from the hole forming element data to record and organize and number to obtain pressure relief record data, and structure the pressure relief record data for archiving and indexing to generate construction memory data.

[0041] The key innovations of the present application include:

[0042] (1) The stress baseline data and monitoring point information are preprocessed by grouping, collecting, removing outliers, drift correction and noise suppression according to the roadway section, surrounding rock category and construction stage, and monitoring point extraction, calibration factor calculation and multi-dimensional consistency checking are performed to generate the time baseline with unified coding.

[0043] (2) The hot zone identification result is obtained based on the time baseline and the stress baseline data, and the pressure relief target region set is structured and modeled and rule-bound to generate the hole shape strategy atlas containing path constraint, direction constraint, order clause and timing clause.

[0044] (3) The stage-based expansion scheme is generated based on the hole shape strategy atlas and the feedforward prediction information, and the corrected guide trajectories and the corrected expansion parameters are formed by comparing the online stress feedback data with the attitude solving results and performing parameter correction, to realize hole forming execution and record organization under closed-loop control.

[0045] The main beneficial effects are as follows:

[0046] (1) By standardizing the preprocessing and consistency checking of multi-source heterogeneous stress and monitoring data, a unified data foundation with time synchronization and spatial correlation is constructed, which provides reliable data input for subsequent regional identification and strategy generation, and overcomes the problem of missing reference caused by scattered data and different formats in traditional methods.

[0047] (2) By converting the stress field characteristics into a structured hole shape strategy map, the automatic mapping from data perception to construction decision is realized, so that the main hole trajectory planning and branch parameter calculation can be executed according to clear rules and regulations, and the adaptability and controllability of irregular hole forming under complex surrounding rock conditions are improved.

[0048] (3) By integrating online monitoring, attitude solution and dynamic parameter correction, a closed-loop control link from strategy generation to execution feedback is formed, which ensures that the hole forming process can respond to geological changes and equipment status in real time, and improves the overall accuracy and process stability of pressure relief forming. BRIEF DESCRIPTION OF DRAWINGS

[0049] Figure 1 A flowchart of a non-regular hole pressure relief forming method provided by the embodiment of the present application;

[0050] Figure 2 A structural block diagram of a non-regular hole pressure relief forming system provided by the embodiment of the present application. DETAILED DESCRIPTION

[0051] Embodiment one, the present application relates to the field of downhole drilling and pressure relief technology, referring to Figure 1 is a flowchart of a non-regular hole pressure relief forming method provided by the embodiment of the present application, which can at least include steps S100-S600:

[0052] S100, acquire stress baseline data and monitoring point information, based on roadway section, surrounding rock category and construction stage, group collection, outlier rejection, drift correction and noise suppression preprocessing, and perform monitoring point extraction, zero point offset, range boundary and sampling rhythm calibration factor calculation and multi-dimensional consistency checking calibration, and then based on acquisition start and end time, sampling rhythm and equipment event record, time synchronization and unified coding, generate time baseline;

[0053] S200, obtain time baseline and stress baseline data, align and register the stress baseline data based on the time baseline, obtain a hot zone identification result by region aggregation and gradient analysis, then extract candidate regions from the hot zone identification result to obtain a set of pressure relief target regions by hierarchical classification and boundary refinement, and then perform structured modeling and rule binding on the set of pressure relief target regions to generate a hole shape strategy atlas;

[0054] S300, obtain the hole shape strategy atlas and the time baseline, perform spatial fitting and path constraint based on the hole shape strategy atlas to obtain a main hole guide track, then extract working condition elements from the main hole guide track to obtain a feed speed parameter table by parameter calculation and tabular configuration, and then perform joint analysis and trend extrapolation on the main hole guide track and the feed speed parameter table to generate feedforward prediction information;

[0055] S400, based on the hole shape strategy atlas and the feedforward prediction information, perform trigger strategy formulation, branch parameter calculation and phased arrangement processing to generate a phased expansion scheme;

[0056] S500, based on the phased expansion scheme, perform online control, attitude solution and parameter correction processing to generate a corrected guide track and a corrected expansion parameter;

[0057] S600, obtain the corrected guide track and the corrected expansion parameter, perform hole forming execution, record arrangement and archiving processing to generate construction memory data.

[0058] Step S100 includes at least steps S110-S130:

[0059] S110, obtain stress baseline data and monitoring point information, and perform preprocessing and noise suppression to obtain the stress baseline data.

[0060] The stress baseline data refers to the original voltage or frequency signal collected by the stress monitoring sensor arranged in the surrounding rock of the roadway, which is converted to obtain a surrounding rock stress measured data set characterized by force value (such as megapascal), which includes absolute stress value, stress change rate and stress change amount relative to the initial state recorded in time sequence; the data set combines the stress state of different roadway sections, different surrounding rock types (such as stable rock stratum, fracture zone, soft interlayer) and different construction stages (such as early excavation, after support, before pressure relief), and forms a standardized stress field input with time continuity, spatial correlation and range uniformity through the preprocessing and noise suppression operation.

[0061] The monitoring point information refers to all metadata related to stress data collection, which specifically includes the unique identifier of each monitoring point, spatial coordinates (three-dimensional position relative to the roadway reference point), roadway section number, surrounding rock category label, sensor model and range, installation azimuth and inclination, initial installation time, latest calibration time, data collection start and end time stamp, sampling frequency, and device operation status log. These information provides an indispensable spatio-temporal background and device context for spatial registration, reliability verification, abnormal data tracing, and neighborhood correlation analysis of stress data.

[0062] Specifically, the stress baseline data and monitoring point information are obtained as input, and the stress baseline data is grouped and collected according to the roadway section, surrounding rock category, and construction stage. The monitoring point information is checked for source and time, and the range, unit, and record format are unified to form initial stress baseline data and monitoring point information. Further, the initial stress baseline data is subjected to outlier rejection, drift correction, and section arrangement. The stress baseline data in the same period is paired and spliced according to the spatial position of the monitoring point information to construct continuous stress baseline data. Further, noise suppression and stability enhancement operations are performed on the continuous stress baseline data, including neighborhood correlation suppression based on monitoring point information, short window smoothing based on time consistency, and sudden change repair and gap filling combined with device operation records, to output stress baseline data that meets the requirements of subsequent analysis. In the above operation process, the input is stress baseline data and monitoring point information, and the output is stress baseline data; the stress baseline data is obtained in subsequent S120 for monitoring point extraction and calibration, is obtained in S210 together with time baseline for regional aggregation and gradient analysis, is obtained in S310 as a working condition basis for main hole guide trajectory planning, and is obtained in S510 as a data reference for online control, forming a front and back connection relationship with the subsequent steps.

[0063] S120, extracting monitoring points from the stress baseline data, performing calibration and consistency check, and obtaining monitoring point calibration information.

[0064] Specifically, the stress baseline data is acquired as input, and according to the spatial position description registered in the monitoring point information and the collection path, the stress baseline data is segmented and matched in position to extract the data segment corresponding to each monitoring point; for the data segment with missing or insufficient coverage, the time sequence relationship and equipment operation record of the adjacent monitoring points in the same segment are combined to establish the associated supplement of the replaceable segment, forming a candidate data set for calibration calculation. Further, the zero point offset, range boundary and sampling rhythm of the monitoring point are calculated from the candidate data set, and the calibration factors are backfilled to the corresponding data segment to form the monitoring point calibration information entry with complete single-point properties. Further, the consistency of the monitoring point calibration information entry is checked, including the repeated consistency check of the same monitoring point in multiple time periods, the spatial consistency check between adjacent monitoring points, and the cross-source consistency check between different collection equipment records; for the entries that do not meet the consistency, recheck, revision and reconstruction are performed until the consistency requirement is met, and finally the monitoring point calibration information is generated. In the above operation process, the input is the stress baseline data, and the output is the monitoring point calibration information; the monitoring point calibration information is acquired in subsequent S130 for time synchronization and unified coding, is acquired in S520 as a reference constraint for attitude calculation, and is acquired in S610 as a comparison reference for hole-forming element data; at the same time, the stress baseline data continues to be acquired in S210 to complete regional aggregation and gradient analysis with the time baseline, maintaining the coherent relationship between S100 and S200.

[0065] S130, time synchronization and unified coding of the monitoring point calibration information is performed to generate a time baseline.

[0066] Specifically, the monitoring point calibration information is acquired as input, cross-channel alignment, cross-batch alignment and cross-device alignment are performed on different monitoring point calibration information entries according to the acquisition start and end time, sampling rhythm and device event record establishment time alignment reference, an intermediate sequence with a unified time scale is formed; the integrity of the intermediate sequence is verified, and the time segments with time jumps, overlaps or gaps are located and corrected to ensure that the monitoring point calibration information has a continuous and indexable time sequence expression under the unified time scale. Further, a unified encoding step is performed on the aligned intermediate sequence, and the encoding content includes monitoring point identification, spatial position identification, sampling rhythm identification and channel state identification. The above encoding is written into the time position corresponding to each entry to construct a standardized identification set that can be directly retrieved by subsequent steps; the standardized identification set and the intermediate sequence together constitute the structured description of the time baseline. Further, after the time baseline is generated, an index mapping relationship between the time baseline and the stress baseline data is established, so that the monitoring point calibration information can be accurately located and traced back at any time scale, and the time markers related to the hole shape strategy are synchronously registered to reserve the time sequence entrance for subsequent construction of the hole shape strategy map. In the above operation process, the input is the monitoring point calibration information, and the output is the time baseline; the time baseline is acquired in S210 and used together with the stress baseline data for regional aggregation and gradient analysis, is acquired in S310 and used for spatial fitting and path constraint, is acquired in S410 and used together with the feedforward prediction information for condition combination and threshold setting, is acquired in S510 and used for time sequence alignment of online control and data acquisition, and is acquired in S620 and used for time position numbering of pressure relief record data; the time baseline and the stress baseline data together provide the time index and traceability basis for the structured archiving of S600, ensuring the continuous connection with S200, S300, S400, S500 and S600. In summary, the stress baseline data output by S110 is acquired by S120 for monitoring point extraction and calibration, the monitoring point calibration information output by S120 is acquired by S130 for time synchronization and unified encoding, the time baseline output by S130 is acquired by S210 and used together with the stress baseline data, and is continuously acquired by the related steps in S300, S400, S500 and S600, forming a continuous data link and closed loop processing path composed of stress baseline data, monitoring point calibration information and time baseline.

[0067] Step S200 includes at least steps S210-S230:

[0068] S210, the time baseline and the stress baseline data are acquired, regional aggregation and gradient analysis are performed, and a hot zone identification result is obtained.

[0069] Specifically, the time baseline generated by the preceding step is acquired as a timing reference, and the stress baseline data output by the preceding step is acquired as a stress field input. The stress baseline data of different time periods is aligned and registered according to the time baseline to form a timing sequence consistent with the monitoring point calibration information. After alignment, the stress baseline data is partitioned and aggregated based on the roadway section, surrounding rock category, and monitoring point distribution to construct an aggregated data volume with section numbers and position indexes. Further, the stress difference between adjacent positions and adjacent time periods is calculated and continuity is checked within the aggregated data volume. For fragments that do not meet the continuity condition, positioning and backtracking are performed in combination with the time baseline to complete the revision and completion of the data fragments. After continuity checking, the gradient components of each section are statistically stratified and extreme value positioning is performed to form a candidate high-gradient fragment list in combination with the monitoring point calibration information. Subsequently, the candidate high-gradient fragment list is rearranged and merged according to the time baseline, and repeated and overlapping time fragments are removed to obtain a high-gradient fragment set corresponding one-to-one to the section position. The high-gradient fragment set and the aggregated data volume are mapped to generate preliminary hot zone fragments containing section identifiers, position indexes, and timing indexes, and density clustering and connectivity screening are performed on the preliminary hot zone fragments to exclude isolated points and excessively short fragments. After screening, a hot zone recognition result with section range, position boundary, and timing span annotations is formed and stored with the time baseline as a unified time coordinate. During the above operation process, the input is the time baseline and the stress baseline data, and the output is the hot zone recognition result. The hot zone recognition result is obtained in subsequent S220 for extraction and classification of candidate regions, and the hot zone recognition result is obtained in subsequent steps together with the borehole shape strategy map for derivation and checking of the main borehole guide trajectory and branch expansion parameters, maintaining continuous connection with subsequent processes.

[0070] S220, extracting candidate regions from the hot zone recognition result, classifying and refining the boundaries to obtain a set of pressure relief target regions.

[0071] Specifically, the hot area identification result is taken as input, hot area segments are grouped according to section range and time span, a candidate region preliminary draft is constructed, and the candidate region preliminary draft is time window sliced with a time baseline to ensure the indexability of the candidate region on a unified time coordinate; after slicing, multi-scale scanning is performed on the candidate region preliminary draft to extract the stress fluctuation inside the region, the gradient attenuation of the region edge, and the mutual adjacency relationship between regions, forming attribute labels including region strength, region stability, and region adjacency degree; further, the candidate region is processed according to the attribute labels, a hierarchical rule set is established, a higher level is given to the candidate region with high region strength and moderate stability, and the candidate region with excessively large region range or insufficient stability is identified as a refinement object; then, boundary refinement is carried out for the refinement object, the region edge is gradually pruned layer by layer according to the gradient attenuation direction, and the region inside is segmented into sub-regions according to the stress fluctuation characteristics, generating a refined candidate region with accurate outer boundary and internal sub-region structure; after boundary refinement, the refined candidate region is reorganized according to section number, position index, and time baseline to eliminate jumps and breaks between adjacent time segments and ensure the coherent expression of the region in time; the reorganized refined candidate region and the hierarchical result are merged to form a pressure relief target region set carrying level labels, boundary coordinates, and time indexes. During the above operation process, the input is the hot area identification result, and the output is the pressure relief target region set; the pressure relief target region set is obtained in the subsequent S230 and used for structured modeling and rule binding, at the same time, the pressure relief target region set is used to trigger the selection and constraint of the strategy and the branch stretching parameter in the subsequent steps, and is obtained together with the time baseline in the recording and numbering stage to support the subsequent archiving and backtracking, forming a consistent connection with the upstream and downstream.

[0072] S230, structured modeling and rule binding are performed on the pressure relief target region set to generate a hole-shaped strategy map.

[0073] Specifically, the set of pressure relief target regions is obtained as input, structured modeling is performed on the set of pressure relief target regions according to section number, position index and time index, three types of descriptions of region unit, region relationship and region time sequence are established, and the hierarchical labeling, boundary coordinates and time sequence span of the region unit are encoded with a unified identification rule to construct a structured object with retrievable and traceable properties; after the structured object is established, the region relationship is bound, the attachment relationship between adjacent regions, covered regions and contained regions is clarified, and the attachment relationship is mapped to rule items that can be used for subsequent path constraint and parameter selection; further, according to the structured object and the rule items, the hole shape strategy clauses are formulated, the hole shape strategy clauses include path constraint clauses of the main hole guide track, direction constraint clauses of the branch expansion parameter, sequence clauses of the phased expansion scheme and time sequence clauses associated with the time baseline; after the clauses are generated, the cross-references between the clauses are checked for consistency, and the clauses in conflict are locally revised by backtracking the set of pressure relief target regions until the precedence relationship and the containment relationship between the clauses meet the execution requirements; subsequently, the hole shape strategy clauses that pass the consistency check are bound with the structured object to form a hole shape strategy map integrating region unit, rule items and clauses, and recorded in the strategy storage structure with the time baseline as the unified time coordinate; after the map is generated, the hole shape strategy map is output as the input of the subsequent steps, wherein the hole shape strategy map is obtained in S310 and used for spatial fitting and path constraint, obtained in S410 and used for conditional combination and threshold setting together with the feedforward prediction information, and obtained in S610 and recorded by comparing with the hole forming element data to form a complete transmission chain from the map to construction and archiving. In summary, S210 takes the time baseline and stress baseline data as input, forms a hot zone identification result and provides region sources to S220; S220 takes the hot zone identification result as input, outputs the set of pressure relief target regions after grading and boundary refinement and provides region objects to S230; S230 takes the set of pressure relief target regions as input, outputs the hole shape strategy map after structured modeling and rule binding, and provides unified strategy basis to S300, S400, S600 and other steps. The above three steps build a coherent path from stress field data to strategy map under the same time baseline, so that the main hole guide track, branch expansion parameter and phased expansion scheme can be retrieved, constrained and executed in a unified space-time reference, ensuring the reusability and traceability between the time baseline, the stress baseline data, the hot zone identification result, the set of pressure relief target regions and the hole shape strategy map.

[0074] Step S300 includes at least steps S310-S330:

[0075] S310, obtain the hole shape strategy map and the time baseline, perform spatial fitting and path constraint, and obtain the main hole guide track.

[0076] Specifically, the hole shape strategy map generated and stored by the previous step is acquired as a space and rule input, and the time baseline generated by the previous step is acquired as a timing reference. The area unit, rule item, and clause carried in the hole shape strategy map are read and analyzed. A retrieval window consistent with the time baseline is established, and a region set corresponding to the current construction batch is sequentially extracted according to the section number, position index, and time index in the retrieval window. After the extraction is completed, the region set is subjected to spatial fitting processing according to the description of the path constraint clause in the hole shape strategy map, and the outer boundary, internal sub-area, and adjacent attachment relationship of the region are mapped into executable path constraints to form a path candidate set containing starting points, transition points, and ending points. Further, the time baseline and the path candidate set are jointly checked to eliminate path segments that are not reachable within the current time window or have overlapping conflicts with the previous time window. The remaining path segments are sorted according to the priority rules in the hole shape strategy map to generate a path sequence corresponding to the section number one by one. After generating the path sequence, the path sequence is subjected to turning angle limitation, curvature limitation, and minimum distance limitation according to the clause integration in the hole shape strategy map to form a path constraint set that satisfies the region attachment relationship and timing clause, and the path sequence is sequentially corrected by the path constraint set to eliminate the intersection and intrusion with the adjacent region boundary. Subsequently, the corrected path sequence and the time baseline are recorded synchronously, and the section number, position index, and time index are bound at the sequence nodes to obtain the main hole guide track. In the above operation process, the input is the hole shape strategy map and the time baseline, and the output is the main hole guide track; the main hole guide track is acquired and used for working condition element extraction and parameter calculation in the subsequent steps, and is also acquired as a data reference for online control, and is recorded and arranged together with the time baseline in the numbering stage to realize continuous connection with the subsequent steps.

[0077] S320, extract working condition elements from the main hole guide track, perform parameter calculation and tabular configuration, and obtain a feed speed parameter table.

[0078] Specifically, the main hole guide trajectory is taken as input, the nodes, paragraphs and turning positions of the main hole guide trajectory are traversed, the path information bound with section number, position index and time index is rearranged according to the construction process, and a trajectory section set with sequence constraints is formed. After rearrangement is completed, working condition elements including trajectory section length, turning angle, adjacent boundary distance and section switching mark are extracted from the trajectory section set, and integrity verification is performed on the working condition elements to eliminate missing and conflicting items; the working condition elements that pass the verification are checked for consistency according to the path constraint clauses in the hole shape strategy atlas, and the matching relationship between the working condition elements and the path constraint set in space and time sequence is confirmed. Further, according to the working condition elements and the time baseline, parameter calculation is performed on each trajectory section to obtain the sectional configuration results of the three types of parameters of feed amount, rotating speed and advancing rhythm; the parameter configuration results are subjected to section splicing and transition smoothing to ensure that the continuous transition of adjacent trajectory sections in feed amount and rotating speed does not produce sudden changes, and the parameters after transition smoothing are bound with the trajectory section set one by one. Subsequently, the binding results are tabularly configured according to the section number, position index and time index to generate a feed rotating speed parameter table with trajectory sections as rows and feed amount, rotating speed and advancing rhythm as columns, and the time sequence positions corresponding to the nodes of the main hole guide trajectory are recorded in the parameter table to ensure that they can be directly retrieved and called in subsequent online control and data collection. In the above operation process, the input is the main hole guide trajectory, and the output is the feed rotating speed parameter table; the feed rotating speed parameter table is obtained in the subsequent steps and used for joint analysis and trend extrapolation together with the main hole guide trajectory, and at the same time, it is obtained as a prerequisite for the phased expansion scheme and is used for parameter issuance and collection alignment in online control together with the main hole guide trajectory, realizing continuous transmission with the subsequent steps.

[0079] S330, joint analysis and trend extrapolation of the main hole guide trajectory and the feed rotating speed parameter table are performed to generate feedforward prediction information.

[0080] Specifically, the main hole guide track and the feed speed parameter table are taken as inputs, the time sequence alignment relationship between the two is first established under the time baseline, the time sequence position marked in the feed speed parameter table is one-to-one corresponding to the node time sequence of the main hole guide track, forming a joint sequence arranged in time sequence. After forming the joint sequence, the joint analysis of the track geometric information and the parameter configuration information in the joint sequence is carried out, the three situations of long track section, sharp turning section and boundary approaching section are identified, and the segmented description of parameter change is established for different situations. The slowly changing section, the significantly changing section and the section containing the section switching mark are separated out to form a parameter change segment set. Further, the parameter change segment set is extrapolated under the time baseline, the segments in the adjacent time window are spliced and rearranged, the overlapping and contradictory segments are removed, and a continuous segment sequence for extrapolation is obtained; on the continuous segment sequence, according to the clause set of the hole shape strategy atlas, the warning mark is set for the section that may trigger the branch stretching and contraction, and the transition mark is set for the parameter change of the long track section and the sharp turning section, so that the extrapolation result can be directly referenced in the subsequent condition combination and threshold setting. Subsequently, on the basis of the continuous segment sequence, trend extrapolation is carried out, the change direction of the feed amount, the speed and the advancing rhythm in the adjacent time window is described, and the leading suggestion of the parameter is given combined with the geometric trend of the main hole guide track; the leading suggestion is combined with the warning mark and the transition mark to generate the feedforward prediction information carrying the section number, the position index and the time index, and stored and marked with the time baseline as the unified time coordinate, so that the feedforward prediction information can be directly retrieved in the subsequent condition combination and threshold setting. In the above operation process, the input is the main hole guide track and the feed speed parameter table, and the output is the feedforward prediction information; the feedforward prediction information is obtained in the subsequent steps and is used together with the hole shape strategy atlas for condition combination and threshold setting, and is obtained together with the main hole guide track in the online control and data acquisition stage for comparison and parameter correction leading reference, and is obtained together with the time baseline in the record arrangement and numbering stage to support archiving and backtracking. In summary, S310 takes the hole shape strategy atlas and the time baseline as inputs, outputs the main hole guide track and provides the track source for S320; S320 takes the main hole guide track as input, outputs the feed speed parameter table and provides the parameter source for S330; S330 takes the main hole guide track and the feed speed parameter table as input, outputs the feedforward prediction information and provides direct basis for subsequent condition combination and threshold setting, and the three form a coherent link from track generation to parameter configuration to leading extrapolation under the unified time baseline, realizing the front support for the subsequent trigger strategy, the branch stretching parameter and the phased expansion scheme.

[0081] Step S400 includes at least steps S410-S430:

[0082] S410, obtain the hole shape strategy graph and the feedforward prediction information, perform conditional combination and threshold setting, and obtain a trigger strategy.

[0083] Specifically, the hole shape strategy graph generated and stored by the previous step is obtained as a space and rule input, and the feedforward prediction information generated by the previous step is obtained as a guide reference, a consistent search window of the two is established under a time baseline, the regional units, rule entries and clauses in the hole shape strategy graph are read one by one, and are one-to-one corresponding with the section numbers, position indexes and time indexes carried in the feedforward prediction information; after the correspondence is completed, the region boundaries, adjacent attachment relationships and time windows in the hole shape strategy graph are combined with the guide suggestions, warning marks and transition marks in the feedforward prediction information according to the path constraint clauses, direction constraint clauses and time sequence clauses, to form a condition set corresponding to the section one by one; further, the dimensions and value ranges in the condition set are unified, the condition set is sequentially rearranged according to the time baseline, the condition items that exist in the same time window are excluded, and the remaining condition items are divided into three types of management units, i.e., regional conditions, time sequence conditions and parameter conditions; then, threshold setting is carried out around the three types of management units, the threshold setting takes the historical section distribution and rule boundary recorded in the hole shape strategy graph as upper and lower limit references, takes the change direction and strength mark given by the feedforward prediction information as a section bias, and generates threshold entries bound to the section under the time baseline; after the threshold entries are formed, the consistency of the cross-section, cross-time window and cross-rule entry is checked, the threshold entries that exist in conflict are traced back to the condition set for local revision, until the regional conditions, time sequence conditions and parameter conditions have an executable sequence in the same time window; finally, the condition set and the threshold entries that pass the consistency check are encapsulated into a trigger object, a trigger window and a release condition ternary structure, output as a trigger strategy, and the binding relationship with the section number, position index and time index is retained in the trigger strategy as an input for subsequent determination of the branch position and calculation of the direction and amplitude.

[0084] S420, determine the branch position from the trigger strategy, perform direction and amplitude calculation, and obtain a branch stretch parameter.

[0085] Specifically, the trigger strategy is taken as input, and the trigger object is traversed in segments under the time baseline according to the trigger window, the trigger position set corresponding to the main hole guide trajectory node is located, the trigger position set is projected to the node, turning point and transition section of the main hole guide trajectory in combination with the region unit boundary and adjacent attachment relationship in the hole shape strategy atlas, and a candidate branch position list is generated; after the candidate branch position list is formed, the removal conditions and threshold entries in the trigger strategy are read, the candidate items overlapping with the adjacent region boundary or conflicting with the time sequence clauses are removed, and the remaining candidate items are prioritized according to the warning mark and transition mark in the feedforward prediction information to obtain a branch position sequence; further, direction and amplitude calculation is carried out around the branch position sequence, the direction calculation takes the direction constraint clause of the hole shape strategy atlas as the outer constraint, takes the geometric trend of the main hole guide trajectory as the inner constraint, and refers to the change direction mark of the feedforward prediction information, to generate a direction solution consistent with the region outer edge normal and internal sub-region connectivity at each branch position; the amplitude calculation takes the threshold entry in the trigger strategy as the starting amplitude, takes the boundary coordinates and minimum distance limit of the adjacent region as the upper limit constraint, and combines the pilot description of the feed amount, rotation speed and advance rhythm in the feedforward prediction information to form the segmented configuration of the amplitude; then, the direction solution and the amplitude configuration are bound with the branch position sequence one by one, and the start and end windows and the allowed adjustment range of each binding unit are recorded under the time baseline to constitute the branch expansion parameters containing direction, amplitude and pitch elements; after the branch expansion parameters are formed, mutual influence checking is performed on the multi-branch situation to eliminate possible mutual occlusion and order conflict, and the checked branch expansion parameters are output to provide parameter sources for phased arrangement and order configuration.

[0086] S430, phase arrangement and order configuration are performed on the branch expansion parameters to generate a phased expansion scheme.

[0087] Specifically, the branch expansion parameters are obtained as input, grouped by branch position sequence under the time baseline, and stage containers are established respectively, each of which is used to carry branch expansion parameter units associated with the same time window or consecutive time windows; after the establishment of the stage containers, according to the clause set in the hole shape strategy atlas, the branch expansion parameters in each container are first sorted by direction consistency and amplitude incrementality to form the execution order within the stage, and then the different containers are globally sorted according to the time sequence clause and the path constraint clause to form the execution order between stages; further, protection intervals and retry intervals are applied to the execution order within and between stages, the protection interval is used to avoid continuous expansion of adjacent areas in a short time, and the retry interval is used to reserve a time window when the parameter needs to be fine-tuned, and the trigger object and the release condition in the trigger strategy are bound at the starting position of each stage, so that the stage expansion and the trigger strategy remain consistent; then, the sorted branch expansion parameters are stepwise refined in the stage container, the starting position, the termination position, the step size and the step pitch of each stage are determined, and a mapping relationship is established with the node position of the main hole guide track to ensure that the stage expansion can be executed in the field according to the node order; after the stepwise refinement is completed, the global order is checked for consistency, and the checking content includes three types of situations: stage overlap, window conflict and minimum distance violation, and the conflicts found are traced back to the corresponding stage container for fine-tuning and rearrangement until there is no conflict globally; finally, the stage containers that have passed the consistency check are numbered and archived according to the time baseline, packaged as a stage expansion scheme containing stage list, intra-stage order and inter-stage order, and the reference index of the branch expansion parameter, trigger strategy and main hole guide track is retained in the scheme as a direct input for subsequent online control and data collection. In summary, the aforementioned three steps form a top-down parameter transmission chain under the constraints of the unified time baseline and hole shape strategy atlas: the trigger strategy output by condition combination and threshold setting enters the calculation of branch position, direction and amplitude, the obtained branch expansion parameters enter the stage arrangement and order configuration, and the stage expansion scheme is finally generated; the scheme is called according to the stage, order and node in the subsequent online control and data collection, realizing the continuous connection from strategy to parameter and from parameter to execution arrangement.

[0088] Step 500 includes at least steps S510-S530:

[0089] S510, obtain the stage expansion scheme and the main hole guide track, and perform online control and data collection to obtain online stress feedback data.

[0090] Specifically, the phased expansion scheme output by the previous step and checked for consistency is taken as the execution arrangement input, while the main hole guide track stored by the previous step and bound to the time baseline is taken as the path reference, a synchronous control channel is established at the time baseline, the stage list, the intra-stage order and the inter-stage order are mapped to the nodes, turning points and transition sections of the main hole guide track, and an instruction sequence that can be directly read by the on-site execution device is generated. During the issuance of the instruction sequence, the start position, the end position, the step size and the step pitch of each stage are checked item by item, and are one-to-one corresponding with the node coordinates and sequential numbers of the main hole guide track, the allowed adjustment range and the trigger window are written into the execution buffer to ensure that subsequent data collection can flow back according to the same time baseline and spatial annotation. Subsequently, the online control process is started, the branch expansion parameters in the phased expansion scheme that match the current time window are loaded as execution parameters in turn, and the on-site device advances according to the main hole guide track and triggers the branch expansion action at the specified node; before the action is triggered, the zero point of the sensing unit is checked and the channel is self-checked, the equipment state marker and the sampling rhythm marker are recorded, and the time markers at the action triggering time and the action completion time are set respectively, so as to align with the time baseline. The online control simultaneously opens the data collection channel, and synchronously collects the surrounding rock stress, the device stress, the device pose and the auxiliary quantity in the action process, the collected data is immediately attached with the stage number, the order number and the node number, the data segments are divided according to the trigger window and written into the collection cache; the collection cache is subjected to integrity check and time sequence consistency check, the time markers of the missing sections are supplemented and the repeated sections are removed, and the online stress feedback data with two-way index of the phased expansion scheme and the main hole guide track are generated. During the above operation process, the input is the phased expansion scheme and the main hole guide track, and the output is the online stress feedback data; the online stress feedback data is obtained for attitude information extraction and calculation check in the subsequent step, and is compared with the attitude calculation result when parameter correction is made, forming a direct data source for the corrected guide track and the corrected expansion parameters.

[0091] S520, attitude information is extracted from the online stress feedback data, and calculation and check are performed to obtain an attitude calculation result.

[0092] Specifically, the online stress feedback data is acquired as input, first rearranged under the time baseline according to the time mark and the stage number, the collection segments between adjacent nodes in the same stage are concatenated in the order of action start and end to form a stage sequence, and device state markers and sampling rhythm markers are inserted in the sequence to form a calculation input set with consistent time sequence expression. In the calculation input set, the channel data related to the device pose and the channel data related to the device stress are read jointly, the data segments of each node neighborhood are grouped according to the node number, and a node neighborhood sequence is established; on the node neighborhood sequence, the displacement, the rotation angle and the quantitative description of the device orientation are extracted first, then the segmented change description of the surrounding rock stress and the device stress in the neighborhood is extracted, and the two types of descriptions are aligned according to the time baseline to form a candidate pair of attitude information. The candidate pair of attitude information is subjected to noise suppression and abnormal segment identification, and the segments caused by abnormal sampling rhythm or unstable device state are removed, and the remaining segments are sequentially checked according to the order within the stage to ensure that the attitude change within the same stage has monotonicity or segmented monotonicity. Subsequently, the checked candidate pair of attitude information is spliced into an attitude information sequence according to the node number, and the joint description of the device pose, the device displacement and the device orientation is recorded at each node position, and the local description of the surrounding rock stress and the device stress is attached, so as to be compared in the parameter correction stage. To ensure that the calculation result can be directly referenced by the subsequent steps, the attitude information sequence is subjected to consistency checking: first, spatial consistency checking with the main hole guide trajectory is performed to confirm that the change direction of the device attitude is consistent with the turning direction of the trajectory; second, time sequence consistency checking with the staged expansion scheme is performed to confirm that the stage division of the attitude change is consistent with the stage start and end position; third, boundary consistency checking with the allowed adjustment range of the branch expansion parameter is performed to confirm that the attitude change does not exceed the boundary. After completing the three types of checking, the attitude calculation result is formed, which takes the time baseline as the coordinate, takes the node number as the index, and takes the device pose, the device displacement and the device orientation as the core items, and establishes a reference relationship with the stage number and the order number. In the above operation process, the input is the online stress feedback data, and the output is the attitude calculation result; the attitude calculation result is acquired in the subsequent steps, and is used together with the online stress feedback data for comparison and parameter correction, and after the correction is completed, the corrected guide trajectory and the corrected expansion parameter are mapped for subsequent hole forming execution and record arrangement and calling.

[0093] S530, comparing the attitude calculation result with the online stress feedback data and correcting the parameters to generate a corrected guide trajectory and a corrected expansion parameter.

[0094] Specifically, the pose solution and the online stress feedback data are taken as inputs, a contrast view is established at a time baseline, the device pose, device displacement and device orientation at each node are matched with the surrounding rock stress and device force segment description at the same node, and the matched entries are grouped by stage number and order number to form a set to be corrected. In the set to be corrected, first, entries related to the deviation of the main hole guide trajectory are identified, the difference between the node direction and the trajectory direction is quantified, and the node interval where the direction deviation or displacement exceeds the limit is located; entries related to the deviation of the branch expansion parameter are identified, the difference between the actual execution amount and the planned configuration amount of the branch direction, amplitude and pitch is quantified, and the interval where the amplitude is insufficient, the amplitude exceeds the limit or the pitch is uneven is located. Understandably, after the two types of deviations are located, parameter correction is performed in the order of the stage expansion scheme from front to back: for trajectory-related deviations, based on the difference quantization description in the node interval, the guide correction amount of the interval is generated, and the guide correction amount is added to the corresponding node without violating the curvature limit and minimum distance limit of adjacent sections; for branch-related deviations, based on the difference quantization description of amplitude and pitch, the expansion correction amount of the interval is generated, and the direction, amplitude and pitch are adjusted synchronously without violating the trigger window and release conditions. To avoid introducing new conflicts by correction, consistency review is performed immediately after each local correction: first, match with the path constraint clause and direction constraint clause of the hole shape strategy map to confirm that the corrected trajectory segment and branch parameters still meet the regional attachment relationship; second, perform stage position review with the staged expansion scheme to confirm that the correction does not change the stage boundary and the order within the stage; third, compare with the feed speed parameter table to confirm that the correction does not cause a sudden change in the parameter transition of adjacent trajectory segments. Through segment-by-segment correction and review, the guide correction amount and the expansion correction amount throughout the stage are obtained and added to the main hole guide trajectory and the branch expansion parameter respectively to form the corrected guide trajectory and the corrected expansion parameter; after formation, an index is immediately established with the time baseline and written into the correction record, and the source is marked as the pose solution and the online stress feedback data for direct reference in subsequent hole forming execution and record arrangement. In the above operation process, the inputs are the pose solution and the online stress feedback data, and the outputs are the corrected guide trajectory and the corrected expansion parameter; the corrected guide trajectory and the corrected expansion parameter are obtained in subsequent hole forming execution to guide the actual action of the main hole and the branch, and are cross-registered with the stage number and the hole forming element data in the record arrangement and numbering stage to form a traceable construction memory.Generally, this step from online control and data acquisition, in turn, completes the attitude information extraction and solution verification and comparison and parameter correction, forms a closed-loop adjustment link driven by phased expansion scheme and main hole guide trajectory, based on online stress feedback data, and mediated by attitude solution results, outputs the modified guide trajectory and the modified expansion parameters consistent with the time baseline, and compatible with the hole shape strategy map, the feed speed parameter table and the phased expansion scheme.

[0095] Step S600 includes at least steps S610-S630:

[0096] S610, obtain the modified guide trajectory and the modified expansion parameter, perform main hole and branch hole forming, and obtain hole forming element data.

[0097] Specifically, the modified guide trajectory generated by the previous step and indexed with the time baseline is obtained as the path reference, and the modified expansion parameter output by the previous step and consistent with the phased expansion scheme is obtained as the expansion reference, an execution channel is established under the time baseline, the nodes, turning points and transition sections of the modified guide trajectory are mapped into execution instructions in sequence, and the direction, amplitude and pitch of the modified expansion parameter are bound to the corresponding nodes one by one. Further, before the execution channel is started, the propulsion, rotation and lateral expansion channel of the execution device are self-checked and zero-verified, the equipment state marker and the sampling rhythm marker are recorded, and the markers are aligned with the time baseline to ensure that the subsequent data record can be retrieved and traced back. Subsequently, the modified guide trajectory is advanced to the predetermined node, the branch expansion action is triggered at the node according to the modified expansion parameter, and the lateral expansion is completed in stages; the time position is recorded at the beginning and end of each stage, and the node index and the stage index are recorded synchronously, so that the path advancement and the expansion action can be one-to-one corresponding in the same time coordinate. Further, during the advancement and expansion process, the hole position, hole diameter, branch orientation, branch length, expansion step and adjacent boundary distance are measured on site, the measurement results are written into a temporary buffer in units of nodes, and the node number of the modified guide trajectory and the stage number of the modified expansion parameter are attached; the temporary buffer is verified for integrity and consistency, and the missing and repeated segments are removed, and the hole forming element data carrying geometric, orientation and timing annotations are generated after rearrangement according to the time baseline. During the above operation process, the input is the modified guide trajectory and the modified expansion parameter, and the output is the hole forming element data; the hole forming element data is obtained in the subsequent step for extraction and record arrangement of geometric and timing information, and is used together with the time baseline for numbering and indexing to form an archiving-oriented data source.

[0098] S620, extract geometric and timing information from the hole forming element data, record and arrange the numbering, and obtain the pressure relief record data.

[0099] Specifically, the hole-forming element data is acquired as input, the measurement entries in the same node are aggregated at a time baseline, the geometric information such as the orifice coordinates, the bore diameter, the branch orientation, the branch length and the step pitch is extracted for the main bore section and the branch section respectively, and the timing information such as the node time, the stage time and the action time is extracted; the geometric information and the timing information extracted are subjected to consistency checking, the geometric information is compared with the node positions of the corrected guide trajectory for spatial consistency, the timing information is compared with the stage start and end times of the corrected expansion parameters for timing consistency, the inconsistent entries found are checked and corrected until the two types of consistency conditions meet the record specifications. Further, the entries checked are structured and arranged according to the section number, the node number and the stage number, a record framework is generated according to the hierarchical relationship of the main bore-branch-step, and each entry is assigned a unique number in the framework; the unique number is bound to the time baseline, so that the number can be directly positioned to the corresponding time position, and this is used as a unified entry for subsequent archiving, retrieval and comparison. Subsequently, the entries in the record framework are subjected to deduplication and merging, the repeated measurements of the same node in adjacent time windows are merged into a single record, and the entries of the same branch continuous step across stages are sequentially merged into stage records; after the merging is completed, the geometric information and the timing information are filled into the record framework according to the field specifications, forming the pressure relief record data including the main bore entries, the branch entries and the stage entries, and retaining the reference index of the corrected guide trajectory, the corrected expansion parameters and the hole-forming element data in each entry. In the above operation process, the input is the hole-forming element data, and the output is the pressure relief record data; the pressure relief record data is acquired for structured archiving and index generation in subsequent steps, and at the same time serves as a record set for comparison with the hole shape strategy map and the time baseline, providing directly usable numbers and fields for subsequent retrieval and backtracking.

[0100] S630, structured archiving and index generation are performed on the pressure relief record data to generate construction memory data.

[0101] Specifically, the pressure relief record data is acquired as input, an archiving container is established according to the hierarchical relationship of the record framework, archiving channels are set for the main hole entry, branch entry and stage entry, and a time index consistent with the time baseline and a space index consistent with the section number are configured in each archiving channel; in the archiving channel, field standardization is first performed, the hole coordinate, hole diameter, branch orientation, branch length and step pitch and other geometric fields and the node time, stage time and action time and other time sequence fields are unified into an archiving field set, and a unique number and a reference index are written into the archiving header, ensuring that each entry can still be back-referenced to correct the guided trajectory, correct the expansion parameter and the hole-forming element data after archiving. Further, denoising and completion processing is performed on the archiving field set to remove empty fields, merge redundant fields and fill in missing fields that can be derived from the reference index, so that the archived entries have complete descriptions; subsequently, two-level time indexes are generated under the time baseline: the first-level time index corresponds to the node time, and the second-level time index corresponds to the stage time; at the same time, two-level space indexes are generated: the first-level space index corresponds to the section number, and the second-level space index corresponds to the node number; the time index and the space index are cross-mapped to form an index structure that can be bidirectionally searched. Further, the archived entries are divided by section and written into the archiving container by time window, a volume label is generated for each section, a segment label is generated for each section, and the volume label and the segment label are associated with the unique number to support mutual positioning from the volume segment to the entry and from the entry to the volume segment. After the writing is completed, an archiving directory is generated, the directory entry includes the volume label, the segment label, the time range, the section range and the entry count, and the reference entry of the hole shape strategy map and the time baseline is retained in the directory entry, so that the archived data can be directly searched by subsequent path constraints and condition combinations. Finally, the archiving container, the index structure and the archiving directory are packaged together as construction memory data, and the source description is written in the header of the construction memory data, indicating that it is derived from the pressure relief record data and has a one-to-one correspondence with the corrected guided trajectory and the corrected expansion parameter; after the packaging is completed, the construction memory data is registered in the storage list, and the time baseline, the hole shape strategy map, the main hole guided trajectory, the feed speed parameter table and the stage expansion scheme are associated with the reference mapping, so that they can be uniformly called in subsequent search, comparison and review. In the above running process, the input is the pressure relief record data, and the output is the construction memory data; the construction memory data is acquired in the subsequent review and operation link, used for comparison and update with the time baseline, the hole shape strategy map and the related parameter set, forming a closed loop from execution to archiving. In summary, this step starts from acquiring the corrected guided trajectory and the corrected expansion parameter and completing the main hole and branch hole-forming execution, and then generates the hole-forming element data, the pressure relief record data and the construction memory data in sequence, forming an archiving link with the time baseline as the unified coordinate, the number and the index as the search means, and the reference relationship as the connecting link, so that the path, the parameter and the record are consistently associated and traceable in the same data system.

[0102] Example Two: Figure 2 A structural block diagram of an irregular hole pressure relief forming system according to an embodiment of the application is shown. As shown, the structure can include: Figure 2

[0103] A data acquisition and calibration module 01 is used to acquire stress baseline data and monitoring point information and perform preprocessing and noise suppression, extract monitoring points from the stress baseline data and perform calibration and consistency checking, and perform time synchronization and uniform coding of monitoring point calibration information to generate a time baseline; specifically, stress baseline data and monitoring point information are received, preprocessing and noise suppression operations are completed under data processing constraints to form initial stress baseline data; monitoring points are extracted from the stress baseline data and calibrated and consistency checked to obtain monitoring point calibration information; time synchronization and uniform coding of the monitoring point calibration information is performed to generate a time baseline; the time baseline is passed to the regional analysis module as a timing reference, while the monitoring point calibration information is retained for subsequent calls.

[0104] A regional analysis module 02 is used to perform regional aggregation and gradient analysis based on the time baseline and stress baseline data to obtain hot zone identification results, and extract candidate regions from the hot zone identification results to perform hierarchical and boundary refinement to obtain a set of pressure relief target regions; specifically, the time baseline and stress baseline data from the data acquisition and calibration module are received, the stress baseline data is aligned according to the time baseline, regional aggregation and gradient analysis are performed to form hot zone identification results; candidate regions are extracted from the hot zone identification results to perform hierarchical and boundary refinement to obtain a set of pressure relief target regions; the set of pressure relief target regions is passed to the strategy generation module as a regional object input, and the section number and location index are registered in storage.

[0105] A strategy generation module 03 is used to perform structured modeling and rule binding on the set of pressure relief target regions to generate a hole shape strategy graph; specifically, the set of pressure relief target regions is received from the regional analysis module, structured modeling and rule binding operations are performed to generate a hole shape strategy graph; the hole shape strategy graph is passed to the trajectory and parameter generation module as a space and rule input, and the time baseline and timing index are bound in the strategy storage.

[0106] ​The trajectory and parameter generation module 04 is used to obtain the main hole guiding trajectory by spatial fitting and path constraint according to the hole shape strategy atlas and the time baseline, to obtain the feed speed parameter table by parameter calculation and tabular configuration of the working condition elements extracted from the main hole guiding trajectory, and to generate the feedforward prediction information by joint analysis and trend extrapolation of the main hole guiding trajectory and the feed speed parameter table. Specifically, the hole shape strategy atlas and the time baseline from the strategy generation module are received, spatial fitting and path constraint are performed, and the main hole guiding trajectory is generated. The working condition elements are extracted from the main hole guiding trajectory for parameter calculation and tabular configuration, and the feed speed parameter table is obtained. Joint analysis and trend extrapolation are performed on the main hole guiding trajectory and the feed speed parameter table to generate the feedforward prediction information. The feedforward prediction information is transmitted to the trigger strategy module as a guide reference, and the main hole guiding trajectory is called by the online control module.

[0107] The trigger strategy module 05 is used to obtain the trigger strategy by condition combination and threshold setting according to the hole shape strategy atlas and the feedforward prediction information, to obtain the branch expansion parameter by direction and amplitude calculation of the branch position determined from the trigger strategy, and to generate the phased expansion scheme by phased arrangement and order configuration of the branch expansion parameter. Specifically, the feedforward prediction information from the trajectory and parameter generation module and the hole shape strategy atlas from the strategy generation module are received, condition combination and threshold setting are performed, and the trigger strategy is obtained. The branch expansion parameter is obtained by direction and amplitude calculation of the branch position determined from the trigger strategy. The phased expansion scheme is generated by phased arrangement and order configuration of the branch expansion parameter. The phased expansion scheme is transmitted to the online control module as an execution arrangement input, and the binding relationship with the time baseline is reserved.

[0108] The online control module 06 is used to obtain the online stress feedback data by online control and data acquisition according to the phased expansion scheme and the main hole guiding trajectory, to obtain the attitude solution result by solving and checking the attitude information extracted from the online stress feedback data, and to generate the corrected guiding trajectory and the corrected expansion parameter by comparison and parameter correction of the attitude solution result and the online stress feedback data. Specifically, the phased expansion scheme from the trigger strategy module and the main hole guiding trajectory from the trajectory and parameter generation module are received, online control and data acquisition are performed, and the online stress feedback data is obtained. The attitude solution result is obtained by solving and checking the attitude information extracted from the online stress feedback data. The corrected guiding trajectory and the corrected expansion parameter are generated by comparison and parameter correction of the attitude solution result and the online stress feedback data. The corrected guiding trajectory and the corrected expansion parameter are transmitted to the hole forming execution module for hole forming guidance, and the time mark is recorded in the cache.

[0109] A hole-making execution module 07 is configured to perform main hole and branch hole making according to the corrected steering trajectory and the corrected stretch parameter to obtain hole-making element data; specifically, the corrected steering trajectory and the corrected stretch parameter are received from the online control module, main hole and branch hole making actions are performed to obtain hole-making element data; and the hole-making element data is transmitted to the record and archive module as original input and is additionally numbered in temporary storage.

[0110] A record and archive module 08 is configured to extract geometric and timing information from the hole-making element data to record, arrange and number to obtain pressure relief record data, and to perform structured archiving and index generation on the pressure relief record data to generate construction memory data; specifically, the hole-making element data from the hole-making execution module is received, geometric and timing information is extracted to record, arrange and number to obtain pressure relief record data; structured archiving and index generation is performed on the pressure relief record data to generate construction memory data; and the construction memory data is registered in a storage list and is referenced to a time baseline and a hole shape strategy map for subsequent retrieval.

Claims

1. An irregular hole pressure relief forming method characterized by, The method comprises the following steps: acquiring stress baseline data and monitoring point information, performing preprocessing of grouping and collecting, abnormal point elimination, drift correction and noise suppression, performing calibration of monitoring point extraction, zero point offset, range boundary and sampling rhythm calibration factor calculation and multi-dimensional consistency checking, performing time synchronization and unified coding to generate a time baseline; acquiring time baseline and stress baseline data, performing alignment and registration, regional aggregation and gradient analysis to obtain a hot area identification result, performing hierarchical and boundary refinement to obtain a pressure relief target area set, performing structured modeling and rule binding to generate a hole shape strategy map; acquiring the hole shape strategy map and the time baseline, performing spatial fitting and path constraint to obtain a main hole guide trajectory, extracting working condition elements to perform parameter calculation and tabular configuration to obtain a feed speed parameter table, performing joint analysis and trend extrapolation to generate feedforward prediction information; specifically comprising: performing joint analysis on the trajectory geometric information and parameter configuration information in the joint sequence, identifying three cases of long trajectory segment, sharp turning segment and boundary approaching segment, and establishing a segmented description of parameter change for different cases, separating out the segments with slow change, segments with significant change and segments containing segment switching markers to form a parameter change segment set; performing extrapolation preparation on the parameter change segment set under the time baseline, splicing and rearranging the segments in adjacent time windows, eliminating overlapping and contradictory segments to obtain a continuous segment sequence for extrapolation; on the continuous segment sequence, according to the provisions of the hole shape strategy map, setting warning markers for segments that may trigger branch expansion, and setting transition markers for parameter changes of long trajectory segments and sharp turning segments; based on the continuous segment sequence, trend extrapolation is carried out, the change direction of the feed amount, speed and advancing rhythm in adjacent time windows is described, and the leading suggestion of the parameters is given combined with the geometric trend of the main hole guide trajectory; the leading suggestion is combined with the warning markers and the transition markers to generate feedforward prediction information carrying segment numbers, position indexes and time indexes, and stored and labeled with the time baseline as the unified time coordinate; based on the hole shape strategy map and the feedforward prediction information, trigger strategy formulation, branch parameter calculation and phased arrangement processing are performed to generate a phased expansion scheme; based on the phased expansion scheme, online control, attitude calculation and parameter correction processing are performed to generate a modified guide trajectory and modified expansion parameters; acquiring the modified guide trajectory and the modified expansion parameters, performing hole forming execution, record arrangement and archiving processing to generate construction memory data.

2. The method of claim 1, wherein, The stress baseline data and monitoring point information comprise: The stress baseline data refer to the original voltage or frequency signals collected by the stress monitoring sensors arranged in the surrounding rock of the roadway, which are converted to obtain the surrounding rock stress measured data set represented by force value units, which includes absolute stress value, stress change rate and stress change amount relative to the initial state recorded in time sequence. The monitoring point information refers to metadata related to stress data collection, specifically including unique identifiers of each monitoring point, spatial coordinates, belonging roadway section numbers, surrounding rock category labels, sensor models and ranges, installation azimuth and inclination angles, initial installation times, latest calibration times, data collection start and end time stamps, sampling frequencies, and device operation status logs.

3. The method of claim 1, wherein, Obtain the hole shape strategy atlas and the time baseline, perform spatial fitting and path constraint to obtain the main hole guide trajectory, including: Read and analyze the regional units, rule entries, and clause integrations carried in the hole shape strategy atlas, establish a retrieval window consistent with the time baseline, and extract the regional set corresponding to the current construction batch in sequence according to the section number, location index, and time index within the retrieval window; According to the description of the path constraint clause in the hole shape strategy atlas, perform spatial fitting processing on the regional set, map the outer boundary, internal sub-regions, and adjacent attachment relationships into executable path constraints, and form a path candidate set containing start points, transition points, and end points; Jointly check the time baseline and the path candidate set, eliminate path segments that are not reachable within the current time window or have overlapping conflicts with the previous time window, sort the remaining path segments according to the priority rules in the hole shape strategy atlas, and generate a path sequence corresponding to the section number one by one; Combine the clause integration in the hole shape strategy atlas to impose turn angle restrictions, curvature restrictions, and minimum distance restrictions on the path sequence segment by segment, form a path constraint set that satisfies the regional attachment relationship and time sequence clause, and modify the path sequence segment by segment with the path constraint set to eliminate intersection and intrusion with adjacent regional boundaries; record the modified path sequence and the time baseline synchronously, and bind the section number, location index, and time index at the sequence node to obtain the main hole guide trajectory.

4. The method of claim 1, wherein, Extract the working condition elements for parameter calculation and tabular configuration to obtain the feed speed parameter table, including: Iterate through the nodes, paragraphs, and turning positions of the main hole guide trajectory, rearrange the path information bound with the section number, location index, and time index according to the construction process, and form a trajectory segment set with sequence constraints; Extract working condition elements from the trajectory segment set, including trajectory segment length, turning angle, adjacent boundary distance, and section switching marker, and perform integrity verification on the working condition elements to eliminate missing and conflicting items; According to the path constraint clause in the hole shape strategy atlas, verify the consistency of the working condition elements and the path constraint set in space and time; According to the working condition elements and the time baseline, perform parameter calculation on each trajectory segment to obtain the sectional configuration results of the feed amount, speed, and advance rhythm three types of parameters; Perform section splicing and transition smoothing on the parameter configuration results to ensure continuous transition of adjacent trajectory segments in feed amount and speed without sudden changes, and bind the transition smoothed parameters with the trajectory segment set one by one; The binding result is tabulated according to the section number, position index and time index, to generate a feed speed parameter table with trajectory sections as rows and feed amount, speed and advance rhythm as columns, and record the time sequence positions corresponding to the main hole guide trajectory nodes in the parameter table.

5. The method of claim 3, wherein, The description of the path constraint clause includes the mapping of the outer boundary of the region, the internal sub-region and the adjacent attachment relationship.

6. The method of claim 3, wherein, The restrictions applied to the path sequence section by section include the turning angle restriction, the curvature restriction and the minimum distance restriction.

7. The method of claim 4, wherein, The section splicing and transition smoothing are performed on the parameter configuration result to ensure that the continuous transition of adjacent trajectory sections in feed amount and speed does not produce abrupt changes.

8. The method of claim 1, wherein, The joint analysis includes identifying three cases of long trajectory sections, sharp turning sections and boundary approaching sections, and establishing a sectionalized description of parameter changes for different cases.

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