Dynamic perception method for surrounding rock response in working face mining stage

Abstract

This invention discloses a dynamic sensing method for the response of surrounding rock during the mining face retreat stage, relating to the fields of mining engineering and geotechnical engineering. The method includes the following steps: collecting stress increment values, displacement fluctuation amplitude values, and time interval values ​​at various locations along the advance direction during the mining face retreat stage; aligning and calibrating these values ​​according to a uniform advance distance; and rearranging them in segments using a sliding time window to form a rhythm difference record. This invention constructs a rhythm difference record through advance distance alignment and sliding time window rearrangement, extracts time offsets, and forms misaligned clustering sections, achieving a continuous expression of the sequential relationship of surrounding rock responses at multiple locations, thereby identifying concentrated change trends in advance. Simultaneously, through segmentation, sequential staggering, time traction, and rhythm adjustment, the changes are dispersed within a continuous time interval, reducing the degree of superposition and maintaining orderly and stable evolution.

Description

Technical Field

[0001] This invention relates to the fields of mining engineering and geotechnical engineering, specifically to a method for dynamic sensing of surrounding rock response during the working face mining stage. Background Technology

[0002] Dynamic sensing of surrounding rock response during the longwall mining stage refers to the technical process of acquiring, correlating, and characterizing the continuous temporal and spatial responses of the surrounding rock during the advance of a fully mechanized coal mining face, focusing on a series of changes such as stress redistribution, rock mass displacement evolution, and structural damage development caused by coal seam mining. This process not only includes the continuous acquisition of key physical quantities such as support pressure transfer, roof subsidence, floor heave, and fracture propagation, but also emphasizes the synchronous expression of the coupling relationships between these changes. By constructing a continuous change trajectory according to the mining sequence, scattered local responses can be integrated into a holistic process with evolutionary patterns, thus providing dynamic basis for judging the intensity of mine pressure manifestation, identifying abnormal stress concentration zones, and guiding support and mining rhythm. Essentially, this concept embodies the transformation of traditional discrete monitoring into a spatiotemporally integrated sensing and evolutionary expression that continuously unfolds with the mining process.

[0003] The existing technology has the following shortcomings: During the continuous advancement of the working face mining stage, the stress change rhythm and displacement evolution rhythm formed by the surrounding rock at different spatial locations should be dispersed. However, when the change rhythms shift and are gradually compressed into similar time intervals as time progresses, a periodic misalignment and superposition phenomenon will occur. This causes the originally independent change processes to concentrate and overlap in the same time period, resulting in a synchronous enhancement of stress release and displacement change and the formation of an abnormal peak amplification effect. This leads to a sudden increase in local response intensity and abrupt change in evolution trend, making it difficult to identify the stability state of the surrounding rock in a timely manner and significantly increasing the risk of sudden instability.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a method for dynamic sensing of the surrounding rock response during the working face mining stage, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for dynamic sensing of surrounding rock response during the working face mining stage, comprising the following steps: The stress increment, displacement fluctuation amplitude, and time interval values ​​at each position along the advancing direction during the working face mining stage are collected, aligned and calibrated according to a uniform advancing distance, and rearranged in segments through a sliding time window to form a rhythmic record that characterizes the difference in the magnitude of the shift at each position. Based on the rhythm difference record, the time offset corresponding to the time when the position change occurs is extracted. The time offset difference distribution is constructed by neighbor difference calculation and segment expansion processing. The time offset is rearranged according to the progressive relationship of the time offset to obtain the misaligned clustering segment used to characterize the concentrated overlapping time interval. The stress increment and displacement fluctuation within the misaligned clustering section are segmented and disassembled, and distributed sequentially according to the time offset difference. The change amplitude is proportionally adjusted to maintain the consistency of the change sequence, forming a change unfolding state with reduced overlap within the same segment. To address the evolving state, time-driven processing is applied to the newly added stress increments and displacement fluctuations during subsequent advancement. By using time index offset and inter-interval remapping, changes entering the same time interval are dispersed to adjacent time positions. At the same time, the rate of increase in the magnitude of changes is compressed, resulting in dispersed changes with controlled concentration. In response to the dispersed changes, the rhythm of changes during the overall advancement of the working face mining stage is compressed and extended. Through interval reorganization and rhythm stretching control, the changes at each location are limited to a continuous progressive interval, forming a dynamic perception result that suppresses the concentrated amplification of abnormal peaks and maintains the gradual evolution of the surrounding rock response.

[0007] Preferably, the records of multiple position changes along the advancing direction during the working face mining stage are processed by aligning the advancing distance and rearranging the time intervals to obtain the differences in the order of changes at each position and construct a rhythm difference record. The steps are as follows: Acquire the stress increment, displacement fluctuation amplitude and time interval values ​​at each position along the advancing direction during the working face mining stage, match the change records with the advancing footage and organize them in order of advancing distance to obtain the initial data set; By combining the advance distance order in the initial data set, the change records of each position are rearranged in chronological order, and the stress increment value and displacement fluctuation amplitude value are connected by the time interval value to obtain the alignment calibration result; A sliding time window is introduced to process the alignment calibration results. The continuous time interval is divided according to the time interval value, and the segmented data structure is obtained by performing segmented rearrangement on each time interval. By combining the segmented data structure to extract the order of changes and time interval differences, calculating the time offset relationship and associating it with the advancement distance marker, and summarizing and organizing the time offset amplitude, the rhythm difference record is obtained.

[0008] Preferably, the sliding time window constructs a continuous time interval based on the time interval value, and reorders the change records in each time interval. The stress increment values ​​and displacement fluctuation values ​​that appear at different advance distances are grouped into the same segment, and the order of change and time interval differences in the same time interval are extracted. The time offset relationship between the changes at each position is recorded and associated with the corresponding advance distance relationship.

[0009] Preferably, the temporal offset relationship is extracted and segment organization is performed on the rhythm difference records to obtain misaligned clustered segments of concentrated overlapping time intervals. The steps are as follows: Read the change records arranged along the direction of advancement from the rhythm difference record, extract the time of occurrence of each spatial position change, use the earliest change time as the reference starting point to calculate the time interval, and obtain the set of time offsets arranged by spatial position. By combining the time offset set, a pairwise matching process is performed on adjacent spatial positions, the time difference between adjacent positions is calculated and recorded as the adjacent time offset difference, and the adjacent time offset differences of each advance distance range are arranged in order. Scan the adjacent time offset difference along the direction of advancement, divide the continuously changing and consistent range into segments, organize the adjacent time offset differences within the segment and arrange them in spatial order to obtain the time offset difference distribution of the segment division; The time offsets of each segment are summarized and sorted by value to adjust the segment arrangement. The overlapping parts of the time offsets of adjacent segments are arranged in a concentrated manner to obtain the misaligned clustered segments.

[0010] Preferably, when summarizing the time offsets of each segment, the segments are sorted according to the time offsets corresponding to each spatial location within the segment, and the segment positions are adjusted based on the sorting results. At the same time, the corresponding change records of the overlapping parts of the time offset ranges of adjacent segments are centrally arranged.

[0011] Preferably, the changes within the misaligned clustering section are processed by segmentation and time staggering to reduce the degree of overlap within the same segment and obtain the unfolded state of the changes. The steps are as follows: Extract the stress increment and displacement fluctuation of each spatial location within the misalignment clustering section, organize the change records according to the time range, and arrange them in order with the time offset difference distribution to obtain the initial change set. Based on the initial set of changes, the segments are divided according to the magnitude of the time offset difference. The stress increment and displacement fluctuation in each segment are independently expanded to obtain the segmentation results. Based on the segmented disassembly results, the sub-segments are arranged in a staggered manner, and time intervals are introduced to adjust the position of each sub-segment while maintaining the consistency between the stress increment change amplitude and the displacement fluctuation amplitude. Based on the staggered distribution results, the stress increment and displacement fluctuation amplitude in each sub-segment are proportionally adjusted. The amplitudes are adjusted in the order of arrangement while maintaining the corresponding relationship to obtain the state of change development.

[0012] Preferably, the stress increment change amplitude and displacement fluctuation amplitude within the sub-segment are adjusted in a uniform proportion according to the arrangement order, keeping the original order of the change records within the sub-segment unchanged, keeping the change amplitude of the earlier time position unchanged, and adjusting the subsequent change amplitudes step by step according to a fixed proportion, so as to maintain the consistency of the correspondence between the stress increment change amplitude and the displacement fluctuation amplitude.

[0013] Preferably, for newly added changes in the unfolded state, time-driven and amplitude-adjusted processing is performed to disperse changes within the same time interval and obtain dispersed change results. The steps are as follows: Receive new stress increment changes and displacement fluctuation changes, insert the change unfolding state according to the advance distance, assign time index values ​​to the corresponding time intervals and arrange the new changes according to the time index values; The results are arranged around the time index value. For new changes within the same time interval, a time index offset is performed, and the new changes are moved into adjacent time intervals in order while maintaining the same arrangement order. For the time index offset results, perform neighbor interval remapping on the newly added changes, refine the time interval and assign it to the sub-intervals in the original order; Based on the remapping results between neighboring intervals, the growth rate of the newly added stress increment and displacement fluctuation is compressed, and the change amplitude is adjusted according to the time order while maintaining the corresponding relationship to obtain the dispersed change results.

[0014] Preferably, for new changes within the same time interval, the time position is moved one by one in the order of arrangement, and the new changes located at the end are moved into the adjacent time interval, while the position of the changes at the beginning remains unchanged. The new changes after the movement are then allocated to the refined time sub-intervals in the original order of arrangement, and the corresponding stress increment change amplitude and displacement fluctuation amplitude are adjusted in stages in the order of arrangement.

[0015] Preferably, the dispersed change results are processed by interval recombination and rhythm stretching adjustment to achieve a continuous and progressive distribution of changes and output dynamic sensing results. The steps are as follows: By collecting all stress increment changes and displacement fluctuations from the dispersed change results, arranging the change records in order of advancement distance and time and assigning time and location markers, the overall change distribution structure is obtained. To analyze the overall change distribution structure, the number of change records in each time interval is counted, intervals with concentrated change records are split and intervals with sparse change records are merged to complete interval reorganization. Based on the interval reorganization results, rhythm stretching control is performed on the change records within each time interval to adjust the time interval between adjacent change records and keep the order of stress increment change amplitude and displacement fluctuation amplitude consistent. By combining the results of rhythm stretching control, the intervals between each time interval are compressed and extended to maintain the correspondence between the time sequence and amplitude of the change records, thus obtaining dynamic perception results.

[0016] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention aligns and calibrates the stress increment, displacement fluctuation, and time interval values ​​at various locations during the working face mining stage by uniformly advancing the distance. It then constructs a rhythm difference record by re-arranging the segments using a sliding time window. Based on this, it further extracts the time offset and forms a time offset difference distribution and misalignment clustering sections. This allows for a continuous expression of the temporal relationship between the surrounding rock response at different spatial locations. As a result, it can characterize the trend of multiple location changes converging in time in advance, enabling the synchronous enhancement process of stress change and displacement evolution to be identified before it forms, thus improving the overall grasp of the surrounding rock response evolution process.

[0017] This invention performs segmented decomposition and staggered distribution of changes within misaligned clusters, while combining time-driven processing, interval recombination, and rhythm stretching control to continuously adjust changes during subsequent advancement. This redistributes the originally concentrated changes to continuously advancing intervals in the time dimension, thereby reducing the superposition of changes within the same time interval. This ensures that the growth process of stress increment and displacement fluctuation remains orderly, thus realizing the transformation of the surrounding rock response from concentrated abrupt changes to gradual evolution, and providing a stable expression for dynamic sensing results. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1 This is a flowchart of the dynamic sensing method for surrounding rock response during the working face mining stage of the present invention. Detailed Implementation

[0020] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0021] This invention provides, for example Figure 1 The dynamic sensing method for surrounding rock response during the working face mining stage, as shown, includes the following steps: The stress increment, displacement fluctuation amplitude, and time interval values ​​at each position along the advancing direction during the working face mining stage are collected, aligned and calibrated according to a uniform advancing distance, and rearranged in segments through a sliding time window to form a rhythmic record that characterizes the difference in the magnitude of the shift at each position. The study focuses on acquiring and recording the continuous changes and rhythm differences along the advance direction during the working face mining stage. By aligning the surrounding rock responses at multiple locations with a unified advance distance and rearranging the time windows, the chronological relationship of changes at each location is expressed in an orderly manner, thus providing a foundation for subsequent time offset extraction. The specific steps are as follows: During the longwall mining phase, multiple continuous observation positions are set up along the advancing direction. The stress increment, displacement fluctuation, and corresponding time interval values ​​generated at each position during the longwall mining process are collected synchronously. During the data collection, the longwall mining process is used as the main line, and each change record is correlated with the advance footage. This ensures that the stress increment, displacement fluctuation, and time interval values ​​all have a unified advance distance identifier. Based on this, the data collected at each position are organized in order of advance distance, so that the change records of different spatial positions corresponding to the same advance distance are aligned. This results in an initial data set with the advance distance as the lateral reference. This initial data set contains the stress increment, displacement fluctuation, and time interval values ​​at each position under different advance stages, while maintaining the original correspondence between various types of data.

[0022] Based on the initial dataset, and aligning the results around the unified advance distance, the change records at each location are further aligned and calibrated. By rearranging the stress increment, displacement fluctuation, and time interval values ​​at each location at the same advance distance in chronological order, a comparable relationship is formed between the times when changes occur at different spatial locations at the same advance distance.

[0023] In this process, the time interval value is used as a continuous identifier for the changes before and after the connection. The order of occurrence of the stress increment value and the displacement fluctuation amplitude value is connected in series, so that the change records of each position form a temporally continuous arrangement under a unified advance distance. This results in an alignment and calibration result that is aligned in the advance distance dimension and unfolds in an orderly manner in the time dimension. This result preserves the order of occurrence of each position change and its interval relationship, providing a basic support for subsequent rhythm division.

[0024] Based on the alignment calibration results, a sliding time window is introduced to re-arrange the change records at each position in segments. During the processing, a continuously sliding time interval is constructed based on the time interval value. The stress increment value and displacement fluctuation amplitude value that appear continuously in the alignment calibration results are divided according to the time window range, so that the change records in the same time interval are grouped into the same segment, and the segment content is continuously updated as the time window moves.

[0025] Within each time interval, the times of change at different spatial locations are reordered, so that the changes that originally appeared scattered at different advance distances are locally rearranged within the time window. Through the segmented rearrangement process of this sliding time window, the distribution of changes at each location in the time dimension is reorganized, thereby constructing a segmented data structure with time interval division characteristics.

[0026] Based on the completion of the sliding time window segment rearrangement, the occurrence time of changes in different spatial locations within each time interval is compared and analyzed. By extracting the order of occurrence of changes in each location within the same time interval and the corresponding time interval differences, the time offset relationship between each location is calculated, and this time offset relationship is associated with the advance distance marker. This ensures that each change record includes not only the stress increment value and displacement fluctuation amplitude value, but also its time offset amplitude relative to the changes in other locations.

[0027] Based on this, the time offset amplitudes obtained in each time interval are summarized and organized to form a rhythm difference record reflecting the difference in the order of changes at each location. This rhythm difference record takes the advance distance as the main line and the time offset amplitude as the core content, and uniformly expresses the rhythm of the occurrence of the surrounding rock response at different spatial locations, thereby completing the systematic characterization of the shift amplitude of changes at each location.

[0028] Based on the rhythm difference record, the time offset corresponding to the time when the position change occurs is extracted. The time offset difference distribution is constructed by neighbor difference calculation and segment expansion processing. The time offset is rearranged according to the progressive relationship of the time offset to obtain the misaligned clustering segment used to characterize the concentrated overlapping time interval. Based on the rhythm difference record, the extraction of time offset, calculation of adjacent difference, segment expansion processing, and progressive rearrangement process are refined layer by layer, giving the formation process of misaligned clustered segments a clear operational path. The specific steps are as follows: The data on positional changes along the advancing direction in the rhythm difference record are read item by item. Each change record corresponding to each advancing distance is treated as an independent analysis unit. Within each analysis unit, the time of occurrence of the change corresponding to each spatial position is extracted sequentially. The earliest occurrence of the change is used as the reference starting point. The time interval between the occurrence of the changes at the remaining positions and the reference starting point is calculated to obtain the corresponding time offset. After performing the above processing on all positions within the same advancing distance range, a set of time offsets arranged in spatial position order is obtained. Subsequently, the same operation is repeated for multiple consecutive advancing distance ranges to make the time offsets form a continuous arrangement in the advancing direction and maintain a correspondence consistent with the advancing distance order in the rhythm difference record. This ensures that each time offset can correspond to a specific spatial position and advancing stage, thus forming a time offset distribution basis that completely covers the entire mining process.

[0029] Based on the established time offset distribution, the data between adjacent spatial positions are matched one by one according to the direction of advancement. The time offset of two adjacent spatial positions at the same advancement distance is taken as a group, and the time difference between them is calculated. This difference is recorded as the adjacent time offset difference of the position pair. After processing all adjacent positions within a advancement distance range, a set of adjacent time offset differences arranged in spatial order will be obtained. Then, the same process is repeated for multiple advancement distance ranges, and all adjacent time offset differences are arranged in the order of advancement distance, so that the time difference between adjacent positions is continuously unfolded in the advancement direction.

[0030] During the arrangement process, the correspondence between each adjacent time offset difference and the corresponding advance distance and spatial position is maintained, so that the time offset difference forms a dual correlation in the spatial direction and the advance direction, thereby constructing a complete time offset difference distribution structure. This structure can reflect the differences in the time of occurrence of changes between different spatial positions.

[0031] After the time offset difference distribution structure is formed, it is processed by segment unfolding. Specifically, the changes in time offset difference are scanned segment by segment along the advancing direction. When the adjacent time offset differences within multiple consecutive advancing distance ranges show a continuous increase or decrease in value, the continuous range is divided into the same segment, and the starting and ending advancing distances of the segment are recorded. At the same time, all adjacent time offset differences within the segment are arranged in spatial order so that the time offset differences within the segment form a complete set of unfolded data.

[0032] After one segment ends, the above judgment process is restarted from the next advance distance range, and the segmentation of the entire time offset difference distribution is completed step by step. After the segmentation is completed, the time offset difference within each segment is arranged in sequence to keep the change relationship within the segment continuously expressed. The segments are arranged in order of advance distance, so as to obtain the time offset difference distribution result with clear segment boundaries. This result not only retains the difference information between local adjacent positions, but also forms an overall structure divided by segments.

[0033] Based on the segmentation, the segments are rearranged according to a progressive relationship based on time offset. Specifically, the time offsets within each segment are summarized, and the time offsets corresponding to all spatial locations within the segment are sorted by value. The position of the segments in the whole is adjusted according to the sorting results, so that segments with smaller time offsets are arranged first, and segments with progressively larger time offsets are arranged last. After the segment order is adjusted, the time offsets between adjacent segments are compared. When the time offset ranges of two segments overlap, the change records corresponding to the overlapping part are grouped into the same range and arranged centrally, so that the changes that were originally scattered in different segments are concentrated in the time dimension.

[0034] After the above rearrangement process, multiple misaligned clustering segments are finally obtained, which are composed of changes in different spatial locations. Each misaligned clustering segment corresponds to a specific time range, which is used to characterize the situation where multiple changes occur in the same time interval, and provides a direct basis for subsequent processing of concentrated overlap phenomena.

[0035] The stress increment and displacement fluctuation within the misaligned clustering section are segmented and disassembled, and distributed sequentially according to the time offset difference. The change amplitude is proportionally adjusted to maintain the consistency of the change sequence, forming a change unfolding state with reduced overlap within the same segment. Taking the misaligned clustering section as the object of treatment, the stress increment and displacement fluctuation within the section are segmented and staggered in sequence. This allows the concentrated and overlapping changes to be unfolded in an orderly manner over time, maintaining a consistent order of change during the unfolding process. As a result, a change unfolding state with reduced overlap within the same section is obtained. The specific steps are as follows: For the already divided misaligned clustering sections, the stress increment change amplitude and displacement fluctuation amplitude corresponding to all spatial locations within each section are extracted segment by segment. The change data are then organized according to the time range corresponding to the misaligned clustering section. All change records within the same time interval are grouped into the same processing range. Within this processing range, the change records at each location are arranged sequentially according to the time offset difference recorded in the time offset difference distribution, so that each change record has a clear time offset difference identifier and maintains the same positional order as in the original time offset difference distribution.

[0036] After the data is processed, the stress increment and displacement fluctuation of each change record are retained simultaneously, so that subsequent processing can be carried out on a unified data basis. This forms an initial set of changes based on the misaligned clustering sections, providing a complete input for segmented disassembly processing.

[0037] Based on the initial set of changes, the change records within the misaligned clustering section are segmented and broken down. Specifically, the change records are divided into several sub-segments according to the magnitude of the time offset difference in the time offset difference distribution. Each sub-segment contains change records with time offset differences within adjacent ranges, ensuring that the time offset differences between the sub-segments show a progressively increasing relationship. After the division, the stress increment change amplitude and displacement fluctuation amplitude within each sub-segment are independently expanded, so that the changes originally concentrated in the same time interval are distributed to different sub-segments. At the same time, the original order of the change records within the sub-segments is maintained, so that each sub-segment corresponds to a relatively independent set of changes. Through this segmentation and breaking down process, the originally concentrated changes within the misaligned clustering section are divided into multiple hierarchically distributed sub-parts, thereby creating conditions for a progressively staggered distribution.

[0038] After the segmentation process is completed, based on the time offset difference between each sub-segment, the change records in different sub-segments are distributed in a staggered manner. Specifically, according to the arrangement order of the sub-segments, the change records corresponding to the sub-segments with smaller time offset differences are arranged at the beginning of the time interval, and the sub-segments with progressively larger time offset differences are extended backward in sequence. Time intervals are introduced between adjacent sub-segments to form a continuous and progressive time distribution relationship between each sub-segment. During this process, the change records in each sub-segment are unfolded in the original order to ensure that the stress increment change amplitude and the displacement fluctuation amplitude maintain a consistent arrangement relationship at the new time position.

[0039] By using this staggered distribution method, the changes that were originally concentrated in the same time interval are gradually spread out on the time axis, thereby reducing the degree of overlap of changes within the same period and making the changes in different spatial locations present a layered and progressive distribution.

[0040] After completing the staggered distribution, the stress increment and displacement fluctuation amplitudes within all sub-segments are proportionally adjusted to maintain a consistent order of change. Specifically, the amplitudes within each sub-segment are adjusted proportionally according to their order in the overall arrangement, ensuring that the amplitudes of sub-segments at earlier times remain unchanged, while the amplitudes of subsequent sub-segments are adjusted step by step according to a fixed ratio. This creates a progressive relationship between the amplitudes of change in each sub-segment, while maintaining the correspondence between stress increment and displacement fluctuation amplitudes within each sub-segment.

[0041] By adjusting the proportions, the changes maintain a consistent amplitude evolution while being staggered in time, ultimately forming a state of change with reduced overlap in the same segment, providing a clear foundation for further adjustments to the rhythm of change.

[0042] To address the evolving state, time-driven processing is applied to the newly added stress increments and displacement fluctuations during subsequent advancement. By using time index offset and inter-interval remapping, changes entering the same time interval are dispersed to adjacent time positions. At the same time, the rate of increase in the magnitude of changes is compressed, resulting in dispersed changes with controlled concentration. Based on the existing changes, the system continuously guides the stress increments and displacement fluctuations that occur during subsequent advancements. Temporal dispersion is achieved through time index offset and remapping between adjacent intervals, and the rate of increase in the magnitude of changes is finely adjusted. This results in a dispersed change outcome with controlled concentration. The specific steps are as follows: Given that a continuous time distribution has been established in the evolution phase, each newly acquired stress increment and displacement fluctuation during the working face mining advance is individually integrated. Each new change is inserted into the advance distance sequence corresponding to the current evolution phase according to its corresponding advance distance position. Based on the time arrangement position of the advance distance in the evolution phase, an initial time index value is assigned to the new change. This time index value uses the current time interval as a reference to divide the entire time distribution into several continuous time intervals. Each time interval corresponds to a fixed time range. The occurrence time of the new change is compared with each of these time interval ranges to assign the new change to a specific time interval. At the same time, the stress increment change amplitude and displacement fluctuation amplitude of the new change are recorded, and their correspondence with the advance distance remains unchanged. After integration, all new changes are initially arranged according to the time index value, so that the new changes have a clear time position identifier when entering the evolution phase.

[0043] After the time intervals of newly added changes are included, each newly added change within the same time interval is checked. When multiple newly added changes exist within the same time interval or when newly added changes coexist with existing changes, time index offset processing is performed on these newly added changes. Specifically, according to the order of the newly added changes within the time interval, the time positions are moved one by one from back to front. The newly added changes located at the end of the same time interval are moved to the next time interval in turn, while the changes at the beginning are kept unchanged in the original time interval.

[0044] During the movement, each time index offset corresponds to a complete time interval span, allowing new changes to move out of the original time interval and into the adjacent time interval. Through the process of moving each change one by one, new changes that were originally concentrated in the same time interval are distributed to different time intervals, while maintaining the order of the new changes, thus completing the time index offset process.

[0045] After the time index offset is completed, the new changes whose time positions have been adjusted are remapped between neighboring intervals. The new time interval where each new change is located is associated with its adjacent time intervals before and after it. By further refining the time position of the new changes, a time interval is divided into multiple continuous sub-intervals. The new changes are then redistributed into these sub-intervals according to their original order in the time interval. This results in a more detailed and dispersed distribution of the new changes in the time dimension, while maintaining a continuous connection between adjacent time intervals. This ensures that each new change reflects its original order in the new time position and avoids overlapping with other changes. During the remapping process, the time relationship between the new changes and existing changes is adjusted synchronously to ensure that the overall time distribution remains continuous and uninterrupted, thus completing the remapping between neighboring intervals.

[0046] After completing the time-dispersion processing, the growth rate of the stress increment and displacement fluctuation of all newly added changes is compressed. Specifically, the growth process of the change amplitude is adjusted step by step according to the order of the new changes in the time distribution. For new changes at the beginning of the time distribution, the original change amplitude is maintained without adjustment. For new changes at the end of the time distribution, the stress increment and displacement fluctuation amplitude are delayed in stages on the original basis, so that the growth process in subsequent time intervals is more gradual. At the same time, the correspondence between the stress increment and displacement fluctuation amplitude of the same new change remains consistent.

[0047] By maintaining a consistent sequence among different new changes, and through the compression of this growth rate, the degree of superposition of new changes is further reduced on the basis of temporal dispersion, ultimately forming a dispersed change result with controlled degree of concentration superposition, and ensuring that the overall change process continues to unfold in a continuous and orderly manner.

[0048] In response to the dispersed changes, the rhythm of changes during the overall advancement of the working face mining stage is compressed and extended. Through interval reorganization and rhythm stretching control, the changes at each location are limited to a continuous progressive interval, forming a dynamic perception result that suppresses the concentrated amplification of abnormal peaks and maintains the gradual evolution of the surrounding rock response. Taking the dispersed changes as the processing object, the rhythm of changes during the overall advancement of the working face mining stage is continuously adjusted. Through interval reorganization and rhythm stretching control, the changes at each location form a continuous progressive relationship in the time dimension, and output stable dynamic sensing results. The specific steps are as follows: Given that the dispersed changes have been arranged in a continuous time sequence, all change records along the advancing direction during the working face mining stage are collected one by one. Each stress increment change and displacement fluctuation change is arranged according to the corresponding advancing distance position and uniformly organized in chronological order. Each change record is assigned a unique time position identifier, which is based on the existing time interval division. The entire advancing process is divided into multiple continuous time intervals, and the number of change records contained in each time interval is recorded. At the same time, the stress increment change amplitude and displacement fluctuation amplitude of each change record are synchronously marked, so that all change records have complete information in the same time distribution structure.

[0049] After the data is sorted out, an overall change distribution structure covering the entire advancement process is formed, which fully presents the distribution of changes in different spatial locations in the time dimension, thus providing a clear data source for subsequent interval reorganization.

[0050] After the overall change distribution structure is formed, the number of change records in each time interval is counted segment by segment. The number of change records in each time interval is recorded and compared with the adjacent time intervals. When the number of change records in a certain time interval is greater than that in the adjacent time intervals, the time interval is split into multiple consecutive sub-intervals according to the time sequence. This distributes the change records that were originally concentrated in the time interval to multiple sub-intervals. During the division process, the change records are distributed one by one according to the time sequence, so that the number of change records in each sub-interval is close to the same. At the same time, for time intervals with fewer change records, they are merged with the adjacent time intervals before and after them, so that the change records in multiple adjacent time intervals are recombined into a new time interval.

[0051] After the splitting and merging process is completed, all time intervals are rearranged in chronological order to create a continuous connection between them, thus completing the interval reorganization process and maintaining a balanced number of change records in each time interval across the overall time distribution.

[0052] After the interval reorganization process is completed, rhythm stretching control is performed on the change records within each time interval. Specifically, the time intervals between adjacent change records within the time interval are redistributed. For time intervals located at the beginning of the overall time distribution, the time intervals between change records within them remain unchanged. For time intervals located in the middle and later parts of the time distribution, the time intervals between change records within them are gradually expanded. The intervals between adjacent change records are extended in chronological order, so that each change record maintains a certain distance from the changes before and after it at the new time position. During the adjustment process, the chronological order between change records remains unchanged, and the correspondence between the stress increment change amplitude and the displacement fluctuation amplitude corresponding to each change record remains unchanged. At the same time, the temporal connection between adjacent time intervals is ensured to maintain the continuity of the advancement process of the entire time distribution after adjustment. Through this rhythm stretching control process, the changes that were originally closely distributed in time are stretched out, thereby reducing the degree of change concentration within a local time range.

[0053] After the rhythm stretching control is completed, the rhythm of changes throughout the entire advancement process is compressed and extended. The intervals between all time intervals are coordinated as a whole, and the intervals between time intervals are adjusted according to a unified rule so that the intervals between adjacent time intervals gradually increase. The local intervals are further refined to ensure that the interval changes between each time interval maintain a continuous and progressive relationship. During the adjustment process, the time order of all change records is kept unchanged. At the same time, the stress increment change amplitude and displacement fluctuation amplitude of each change record are synchronously maintained so that they are still arranged in the original order in the new time distribution. Through this compression and extension adjustment, the changes that might have formed a concentrated superposition within the same time range are dispersed into multiple continuous time intervals. Ultimately, this results in a dynamic perception result that suppresses the concentrated amplification of abnormal peaks and maintains the gradual evolution of the surrounding rock response, so that the surrounding rock response in the entire mining stage presents a continuous and progressive change state in the time dimension.

[0054] This invention aligns and calibrates the stress increment, displacement fluctuation, and time interval values ​​at various locations during the working face mining stage by uniformly advancing the distance. It then constructs a rhythm difference record by re-arranging the segments using a sliding time window. Based on this, it further extracts the time offset and forms a time offset difference distribution and misalignment clustering sections. This allows for a continuous expression of the temporal relationship between the surrounding rock response at different spatial locations. As a result, it can characterize the trend of multiple location changes converging in time in advance, enabling the synchronous enhancement process of stress change and displacement evolution to be identified before it forms, thus improving the overall grasp of the surrounding rock response evolution process.

[0055] This invention performs segmented decomposition and staggered distribution of changes within misaligned clusters, while combining time-driven processing, interval recombination, and rhythm stretching control to continuously adjust changes during subsequent advancement. This redistributes the originally concentrated changes to continuously advancing intervals in the time dimension, thereby reducing the superposition of changes within the same time interval. This ensures that the growth process of stress increment and displacement fluctuation remains orderly, thus realizing the transformation of the surrounding rock response from concentrated abrupt changes to gradual evolution, and providing a stable expression for dynamic sensing results.

[0056] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for dynamically sensing the response of surrounding rock in a working face mining stage, characterized in that, Includes the following steps: The stress increment, displacement fluctuation amplitude, and time interval values ​​at each position along the advancing direction during the working face mining stage are collected, aligned and calibrated according to a uniform advancing distance, and rearranged in segments through a sliding time window to form a rhythm difference record. Based on the rhythm difference record, the time offset corresponding to the time when the position change occurs is extracted. The time offset difference distribution is constructed by neighbor difference calculation and segment expansion processing. The segments are rearranged according to the progressive relationship of the time offset to obtain the misaligned clustering segments. The stress increment and displacement fluctuation within the misaligned accumulation zone are segmented and dispersed, and distributed sequentially according to the time offset difference. The change amplitude is proportionally adjusted to maintain a consistent change sequence, thus forming a change unfolding state. To address the evolving state, time-driven processing is applied to the newly added stress increments and displacement fluctuations during subsequent advancement. By using time index offset and inter-interval remapping, changes entering the same time interval are dispersed to adjacent time positions. At the same time, the rate of increase in the magnitude of changes is compressed, resulting in dispersed changes with controlled concentration. In response to the dispersed changes, the rhythm of changes during the overall advancement of the working face mining stage is compressed and extended. Through interval reorganization and rhythm stretching control, the changes at each location are limited to a continuous progressive interval, forming a dynamic perception result that suppresses the concentrated amplification of abnormal peaks and maintains the gradual evolution of the surrounding rock response.

2. The method according to claim 1, c h a r a c t e r i z e d b y, The following steps are taken to align the advance distance and rearrange the time intervals of the records of multiple positional changes along the advance direction during the working face mining stage, obtain the differences in the order of changes at each position, and construct a record of rhythm differences: Acquire the stress increment, displacement fluctuation amplitude and time interval values ​​at each position along the advancing direction during the working face mining stage, match the change records with the advancing footage and organize them in order of advancing distance to obtain the initial data set; By combining the advance distance order in the initial data set, the change records of each position are rearranged in chronological order, and the stress increment value and displacement fluctuation amplitude value are connected by the time interval value to obtain the alignment calibration result; A sliding time window is introduced to process the alignment calibration results. The continuous time interval is divided according to the time interval value, and the segmented data structure is obtained by performing segmented rearrangement on each time interval. By combining the segmented data structure to extract the order of changes and time interval differences, calculating the time offset relationship and associating it with the advancement distance marker, and summarizing and organizing the time offset amplitude, the rhythm difference record is obtained.

3. The method according to claim 2, c h a r a c t e r i z e d b y, The sliding time window constructs continuous time intervals based on time interval values. The change records within each time interval are reordered, and the stress increment values ​​and displacement fluctuation values ​​that appear at different advance distances are grouped into the same segment. The order of occurrence and time interval differences of changes within the same time interval are extracted, and the time offset relationship between changes at each position is recorded and correlated with the corresponding advance distance relationship.

4. The method according to claim 2, characterized in that, The temporal offset relationship is extracted and segmentation is processed from the rhythm difference records to obtain misaligned clustered segments with concentrated overlapping time intervals. The steps are as follows: Read the change records arranged along the direction of advancement from the rhythm difference record, extract the time of occurrence of each spatial position change, use the earliest change time as the reference starting point to calculate the time interval, and obtain the set of time offsets arranged by spatial position. By combining the time offset set, a pairwise matching process is performed on adjacent spatial positions, the time difference between adjacent positions is calculated and recorded as the adjacent time offset difference, and the adjacent time offset differences of each advance distance range are arranged in order. Scan the adjacent time offset difference along the direction of advancement, divide the continuously changing and consistent range into segments, organize the adjacent time offset differences within the segment and arrange them in spatial order to obtain the time offset difference distribution of the segment division; The time offsets of each segment are summarized and sorted by value to adjust the segment arrangement. The overlapping parts of the time offsets of adjacent segments are arranged in a concentrated manner to obtain the misaligned clustered segments.

5. The method according to claim 4, c h a r a c t e r i z e d b y, When summarizing the time offsets of each segment, the segments are sorted according to the time offsets corresponding to each spatial location within the segment, and the segment positions are adjusted based on the sorting results. At the same time, the change records corresponding to the overlapping parts of the time offset ranges of adjacent segments are centrally arranged.

6. The method for dynamic sensing of surrounding rock response during the working face mining stage according to claim 4, characterized in that, The changes within the misaligned clustering section are processed by segmentation and time staggering to reduce the degree of overlap within the same segment and obtain the unfolded state of the changes. The steps are as follows: Extract the stress increment and displacement fluctuation of each spatial location within the misalignment clustering section, organize the change records according to the time range, and arrange them in order with the time offset difference distribution to obtain the initial change set. Based on the initial set of changes, the segments are divided according to the magnitude of the time offset difference. The stress increment and displacement fluctuation in each segment are independently expanded to obtain the segmentation results. Based on the segmented disassembly results, the sub-segments are arranged in a staggered manner, and time intervals are introduced to adjust the position of each sub-segment while maintaining the consistency between the stress increment change amplitude and the displacement fluctuation amplitude. Based on the staggered distribution results, the stress increment and displacement fluctuation amplitude in each sub-segment are proportionally adjusted. The amplitudes are adjusted in the order of arrangement while maintaining the corresponding relationship to obtain the state of change development.

7. The method for dynamic sensing of surrounding rock response during the working face mining stage according to claim 6, characterized in that, The stress increment variation range and displacement fluctuation range within the sub-segment are adjusted in a uniform proportion according to the arrangement order, keeping the original order of the change records within the sub-segment unchanged, and keeping the variation range of the earlier time position unchanged, while adjusting the subsequent variation range step by step according to a fixed proportion, so as to maintain the consistency between the stress increment variation range and the displacement fluctuation range.

8. The method for dynamic sensing of surrounding rock response during the working face mining stage according to claim 6, characterized in that, To process newly added changes in the unfolded state, time-driven and amplitude-adjusted processing is performed to disperse changes within the same time interval and obtain dispersed change results. The steps are as follows: Receive new stress increment changes and displacement fluctuation changes, insert the change unfolding state according to the advance distance, assign time index values ​​to the corresponding time intervals and arrange the new changes according to the time index values; The results are arranged around the time index value. For new changes within the same time interval, a time index offset is performed, and the new changes are moved into adjacent time intervals in order while maintaining the same arrangement order. For the time index offset results, perform neighbor interval remapping on the newly added changes, refine the time interval and assign it to the sub-intervals in the original order; Based on the remapping results between neighboring intervals, the growth rate of the newly added stress increment and displacement fluctuation is compressed, and the change amplitude is adjusted in chronological order while maintaining the corresponding relationship to obtain the dispersed change results.

9. The method for dynamic sensing of surrounding rock response during the working face mining stage according to claim 8, characterized in that, For new changes within the same time interval, the time position is moved one by one in the order of arrangement. New changes located at the end are moved into the adjacent time interval, while the positions of changes at the beginning remain unchanged. The new changes after the movement are then allocated to the refined time sub-intervals in the original order. The corresponding stress increment change amplitude and displacement fluctuation amplitude are adjusted in stages in the order of arrangement.

10. The method for dynamic sensing of surrounding rock response during the working face mining stage according to claim 8, characterized in that, The dispersed change results are processed by interval recombination and rhythm stretching adjustment to achieve a continuous and progressive distribution of changes and output dynamic sensing results. The steps are as follows: By collecting all stress increment changes and displacement fluctuations from the dispersed change results, arranging the change records in order of advancement distance and time and assigning time and location markers, the overall change distribution structure is obtained. To analyze the overall change distribution structure, the number of change records in each time interval is counted, intervals with concentrated change records are split and intervals with sparse change records are merged to complete interval reorganization. Based on the interval reorganization results, rhythm stretching control is performed on the change records within each time interval to adjust the time interval between adjacent change records and keep the order of stress increment change amplitude and displacement fluctuation amplitude consistent. By combining the results of rhythm stretching control, the intervals between each time interval are compressed and extended to maintain the correspondence between the time sequence and amplitude of the change records, thus obtaining dynamic perception results.

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