Rock burst early warning method based on multi-dynamic weight algorithm
By setting up monitoring points with multiple dynamic weighting algorithms in the mine, water level, vibration, and sound wave parameters are obtained, and early warning signals are generated. This solves the problem of full coverage monitoring and flexible early warning in existing technologies, and realizes full coverage and targeted early warning in the mine.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANDAN XUNDAO ZHIAN MINING TECH CO LTD
- Filing Date
- 2023-09-01
- Publication Date
- 2026-04-28
AI Technical Summary
In existing technologies, rockburst early warning methods lack flexibility, cannot achieve comprehensive and targeted monitoring and early warning of the entire mine, and the unchanged weighting of various data leads to poor early warning effects.
A multi-dynamic weighting algorithm is adopted. By setting water level, vibration and sound wave monitoring points, the corresponding parameters and standards are obtained. Dynamic weights are set according to the change coefficients to generate early warning signals and provide feedback.
It achieves full coverage monitoring of the mine, provides multi-faceted early warning references, and conducts targeted rockburst early warning for different regions, improving the flexibility and effectiveness of early warning.
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Figure CN117027950B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of rockburst early warning technology, specifically a rockburst early warning method based on a multi-dynamic weight algorithm. Background Technology
[0002] Rockburst is one of the major hazards faced in deep coal mining, posing a huge threat to the safe and efficient production of coal mines and the personal safety of coal miners. At present, domestic research on the occurrence mechanism, monitoring and early warning, and prevention and control measures of rockburst is constantly deepening. However, in actual production, further research is needed on the identification and early warning of the probability of rockburst occurrence and the construction of early warning indicators.
[0003] In existing technologies, rockburst early warning in mines is often limited to the working area and fails to achieve comprehensive and targeted monitoring and early warning for the entire mine. Furthermore, existing technologies lack flexibility in setting the weights of various monitoring data, with the weights of each data point often remaining unchanged for a long time, resulting in an inflexible rockburst early warning method. To address the shortcomings of existing technologies, this invention provides a rockburst early warning method based on a multi-dynamic weight algorithm. Summary of the Invention
[0004] The purpose of this invention is to provide a rockburst early warning method based on a multi-dynamic weighting algorithm.
[0005] The objective of this invention can be achieved through the following technical solution: a rockburst early warning method based on a multi-dynamic weighting algorithm, comprising the following steps:
[0006] Step S1: Set up water level monitoring points to monitor the groundwater level and obtain water level parameters. Set up vibration monitoring points and sound wave monitoring points according to the water level monitoring points. Monitor the vibration signal to obtain vibration parameters and monitor the sound wave signal to obtain sound wave parameters.
[0007] Step S2: Set up rockburst monitoring points, monitor rockburst to obtain rockburst parameters, obtain corresponding water level standards, vibration standards, and sound wave standards based on rockburst parameters, and generate early warning signals;
[0008] Step S3: Obtain the variation coefficient of rockburst, and at the same time obtain the variation coefficients of groundwater level, vibration signal and sound wave signal, and obtain the corresponding matching degree based on the obtained variation coefficients;
[0009] Step S4: Based on the obtained matching degree, set dynamic weights for groundwater level, vibration signal, and sound wave signal respectively, obtain the corresponding early warning coefficients, and generate early warning signals;
[0010] Step S5: Feedback the obtained warning signals.
[0011] Furthermore, the process of setting up water level monitoring points to monitor groundwater levels and obtain water level parameters includes:
[0012] Set up initial water level monitoring points and obtain initial water level monitoring areas. Set up water level monitoring units within the water level monitoring points. Monitor the groundwater level through the water level monitoring units to obtain the corresponding water level parameters. Obtain several water level monitoring points and their corresponding water level monitoring areas until all water level monitoring areas completely cover the entire mine.
[0013] Furthermore, vibration monitoring points and acoustic monitoring points are set up based on the water level monitoring points. The vibration signal is monitored to obtain vibration parameters, and the acoustic signal is monitored to obtain acoustic parameters. The process includes:
[0014] Vibration monitoring points and acoustic monitoring points are set at the tangent points of adjacent water level monitoring areas. Vibration monitoring units are set up in the vibration monitoring points to monitor vibration signals and obtain corresponding vibration parameters. Acoustic monitoring units are set up in the acoustic monitoring points to monitor acoustic signals and obtain corresponding acoustic parameters.
[0015] Furthermore, the process of setting up rockburst monitoring points and monitoring rockbursts to obtain rockburst parameters includes:
[0016] A rockburst monitoring area is obtained, and rockburst monitoring points are set up. Rockburst monitoring units are set up within the rockburst monitoring points, and rockburst is monitored through the rockburst monitoring units to obtain the corresponding rockburst parameters.
[0017] Furthermore, the process of obtaining corresponding water level standards, vibration standards, and acoustic standards based on rockburst parameters, and generating early warning signals, includes:
[0018] When the rockburst monitoring unit obtains rockburst parameters, it obtains the corresponding water level parameters, vibration parameters, and acoustic parameters, and then obtains the average water level, average vibration, and average acoustic values. Based on the average water level, it obtains the current water level standard of the rockburst monitoring area, compares the subsequent water level parameters with the water level standard, and generates a corresponding water level warning signal based on the comparison results.
[0019] The same method is used to obtain the current vibration standard and acoustic standard of the rockburst monitoring area, and the subsequent vibration parameters and acoustic parameters are compared with the vibration standard and acoustic standard respectively. Based on the comparison results, corresponding vibration warning signals and acoustic warning signals are generated.
[0020] Furthermore, the process of obtaining the variation coefficients of rockburst, groundwater level, vibration signal, and acoustic signal, and then determining the corresponding matching degree based on the obtained variation coefficients includes:
[0021] Set an assessment period, obtain the rockburst parameters of the rockburst monitoring points in the most recent assessment period, and then obtain the rockburst variation coefficient and the maximum rockburst parameter. Obtain the maximum water level parameter, maximum vibration parameter, and maximum acoustic parameter corresponding to the maximum rockburst parameter.
[0022] The water level change coefficient, vibration change coefficient, and sound wave change coefficient of the maximum water level parameter, the vibration change coefficient of the maximum vibration parameter, and the sound wave change coefficient of the maximum sound wave parameter are obtained. The water level change coefficient, vibration change coefficient, and sound wave change coefficient are compared with the rockburst change coefficient. Based on the comparison results, the groundwater level, vibration signal, and sound wave signal are marked with different matching degrees, including the first matching degree, the second matching degree, and the third matching degree.
[0023] Furthermore, the process of assigning dynamic weights to groundwater level, vibration signal, and acoustic signal based on the obtained matching degree, obtaining corresponding early warning coefficients, and generating early warning signals includes:
[0024] Different dynamic weights are set for different matching degrees. Based on subsequent water level parameters, vibration parameters, and acoustic parameters, the early warning coefficient of the rockburst monitoring area is obtained, and an early warning threshold is set. The early warning coefficient is compared with the early warning threshold, and a corresponding rockburst early warning signal is generated based on the comparison result.
[0025] Furthermore, the process of feeding back the obtained early warning signals includes:
[0026] An information feedback unit is set up to provide feedback on various early warning signals, including water level early warning signals, vibration early warning signals, sound wave early warning signals, and rockburst early warning signals.
[0027] Compared with the prior art, the beneficial effects of the present invention are:
[0028] 1. By setting up several water level monitoring points, vibration monitoring points, and sound wave monitoring points, several rockburst monitoring zones can be obtained, which is conducive to achieving full coverage monitoring of the entire mine. Based on different monitoring data, different early warning methods can be formed, which is conducive to achieving targeted rockburst early warning for different areas of the mine.
[0029] 2. Based on the rockburst parameters, water level standards, vibration standards, and acoustic standards are obtained. Subsequent water level parameters, vibration parameters, and acoustic parameters are compared with the water level standards, vibration standards, and acoustic standards, respectively. Based on the comparison results, water level warning signals, vibration warning signals, and acoustic warning signals are generated, which is beneficial for providing multifaceted references for rockburst early warning.
[0030] 3. By obtaining the matching degree between groundwater level, vibration signal, sound wave signal and rockburst, and setting different dynamic weights for different matching degrees, corresponding rockburst early warning signals can be obtained, which is conducive to achieving effective early warning of rockburst based on changes in groundwater level, vibration signal and sound wave signal. Attached Figure Description
[0031] Figure 1 This is a schematic diagram of the present invention. Detailed Implementation
[0032] like Figure 1 As shown, a rockburst early warning method based on a multi-dynamic weighting algorithm includes the following steps:
[0033] Step S1: Set up water level monitoring points to monitor the groundwater level and obtain water level parameters. Set up vibration monitoring points and sound wave monitoring points according to the water level monitoring points. Monitor the vibration signal to obtain vibration parameters and monitor the sound wave signal to obtain sound wave parameters.
[0034] Step S2: Set up rockburst monitoring points, monitor rockburst to obtain rockburst parameters, obtain corresponding water level standards, vibration standards, and sound wave standards based on rockburst parameters, and generate early warning signals;
[0035] Step S3: Obtain the variation coefficient of rockburst, and at the same time obtain the variation coefficients of groundwater level, vibration signal and sound wave signal, and obtain the corresponding matching degree based on the obtained variation coefficients;
[0036] Step S4: Based on the obtained matching degree, set dynamic weights for groundwater level, vibration signal, and sound wave signal respectively, obtain the corresponding early warning coefficients, and generate early warning signals;
[0037] Step S5: Feedback the obtained warning signals.
[0038] It should be further explained that, in the specific implementation process, the process of setting up water level monitoring points and monitoring groundwater levels to obtain water level parameters includes:
[0039] Select any wellbore within the current mine site. The wellbore can be an existing well, borehole, or a specially excavated wellbore. Use the selected wellbore as the initial water level monitoring point. Set up a water level monitoring unit within the initial water level monitoring point. Use the water level monitoring unit to monitor the groundwater level to obtain the corresponding water level parameters. Use the specific time when the water level parameters are obtained as the monitoring time and the specific location when the water level parameters are obtained as the monitoring location. Then, bind the obtained monitoring time and monitoring location to their corresponding water level parameters.
[0040] A circular area with the initial water level monitoring point as the center and a preset fixed distance R as the radius is obtained, and the obtained circular area is used as the initial water level monitoring area of the initial water level monitoring point. Based on the initial water level monitoring point, a water level monitoring point is set at twice the preset fixed distance (2R) due east of the initial water level monitoring point, and the water level monitoring area of the initial water level monitoring point is obtained. The same method is used to set a water level monitoring point due west, due south, and due north of the initial water level monitoring point, and the water level monitoring area of each water level monitoring point is obtained. Based on the water level monitoring point obtained due east of the initial water level monitoring point, this process is repeated to obtain a number of water level monitoring points and their corresponding water level monitoring areas, until the water level monitoring areas of all water level monitoring points completely cover the entire mine.
[0041] It should be further explained that, in the specific implementation process, vibration monitoring points and acoustic monitoring points are set up according to the water level monitoring points. The process of monitoring vibration signals to obtain vibration parameters and monitoring acoustic signals to obtain acoustic parameters includes:
[0042] Using the initial water level monitoring point as a reference, a vibration monitoring point and an acoustic monitoring point are set at a predetermined fixed distance R to the east of the initial water level monitoring point. Using the same method, a vibration monitoring point and an acoustic monitoring point are also set to the west, south, and north of the initial water level monitoring point. The positions of the vibration monitoring point and the water level monitoring point are the four tangent points between the initial water level monitoring area and the adjacent water level monitoring area. This process is repeated to obtain the tangent points between all water level monitoring areas. At each tangent point, a vibration monitoring point and an acoustic monitoring point are set.
[0043] A vibration monitoring unit is set up at each vibration monitoring point. The vibration signal is monitored by the vibration monitoring unit to obtain the corresponding vibration parameters. The specific time when the vibration parameters are obtained is taken as the monitoring time, and the specific location where the vibration parameters are obtained is taken as the monitoring location. The obtained monitoring time and monitoring location are bound to the corresponding vibration parameters.
[0044] A sound wave monitoring unit is set up at each sound wave monitoring point. The sound wave signal is monitored by the sound wave monitoring unit to obtain the corresponding sound wave parameters. The specific time when the sound wave parameters are obtained is taken as the monitoring time, and the specific location when the sound wave parameters are obtained is taken as the monitoring location. The obtained monitoring time and monitoring location are bound to the corresponding sound wave parameters.
[0045] It should be further explained that, in the specific implementation process, the process of setting up rockburst monitoring points and monitoring rockburst to obtain rockburst parameters includes:
[0046] Obtain water level monitoring points from any four adjacent water level monitoring areas. Connect the four water level monitoring points in sequence to obtain a rectangular area with a side length of twice the preset fixed distance (2R). Use the obtained rectangular area as a rockburst monitoring area. Use the intersection of the two diagonals of the rockburst monitoring area as the rockburst monitoring point of the rockburst monitoring area. Continue in this way to obtain several rockburst monitoring areas and their corresponding rockburst monitoring points until all rockburst monitoring areas completely cover the entire mine.
[0047] A rockburst monitoring unit is set up at each rockburst monitoring point. The rockburst is monitored by the rockburst monitoring unit to obtain the corresponding rockburst parameters. The specific time and location of obtaining the rockburst parameters are used as the monitoring time and location, and the obtained monitoring time and location are bound to the corresponding rockburst parameters.
[0048] It should be further explained that, in the specific implementation process, the process of obtaining the corresponding water level standard, vibration standard, and sound wave standard based on the rockburst parameters, and generating an early warning signal, includes:
[0049] Taking a rockburst monitoring area as an example, the water level monitoring unit, vibration monitoring unit, and acoustic wave monitoring unit in the rockburst monitoring area are bound to the rockburst monitoring unit of their corresponding rockburst monitoring point to form a monitoring group. There are four water level monitoring units, four vibration monitoring units, and four acoustic wave monitoring units, while there is only one rockburst monitoring unit.
[0050] When the rockburst monitoring unit obtains rockburst parameters, it obtains monitoring data from the corresponding monitoring group. The monitoring data includes four water level parameters, four vibration parameters, and four acoustic parameters. The average water level, average vibration, and average acoustic values of the four water level parameters, four vibration parameters, and four acoustic parameters are obtained respectively.
[0051] Taking the average water level as an example, the obtained average water level is labeled as S. 均A fixed ratio k is preset, where k is a fraction greater than 0 and less than 1, and the average water level kS is multiplied by k. 均 As the current water level standard for this rockburst monitoring area, the water level parameters obtained by the water level monitoring units in this rockburst monitoring area are marked as S. 参 ;
[0052] When S 参 ≥kS 均 When this occurs, the water level parameter is marked as an abnormal water level state, and a corresponding water level warning signal is generated;
[0053] When S 参 <kS 均 At that time, do not perform any operation on it;
[0054] The same method was used to obtain the current vibration standard and acoustic standard of the rockburst monitoring area. The vibration parameters and acoustic parameters of the rockburst monitoring area were compared with the vibration standard and acoustic standard respectively. Based on the comparison results, the vibration parameters and acoustic parameters were marked as vibration abnormality state and acoustic abnormality state respectively, and corresponding vibration early warning signal and acoustic early warning signal were generated.
[0055] It should be further explained that, in the specific implementation process, the process of obtaining the variation coefficients of rockburst, groundwater level, vibration signal, and acoustic signal, and then determining the corresponding matching degree based on the obtained variation coefficients includes:
[0056] Set the evaluation period T;
[0057] Taking a rockburst monitoring point as an example, the rockburst parameters of the monitoring point within the most recent assessment period T are obtained. The obtained rockburst parameters are numbered and denoted as i, where i = 1, 2, ..., n, and the obtained rockburst parameters are marked as P. i ;
[0058] Obtain the rockburst variation coefficient at the rockburst monitoring point, and label the obtained rockburst variation coefficient as B. Pi ;
[0059]
[0060] Obtain the maximum rockburst variation coefficient and label the obtained maximum rockburst variation coefficient as B. P0 The maximum rockburst parameter corresponding to the rockburst variation coefficient is obtained, and the water level parameter, vibration parameter, and acoustic parameter obtained at the same monitoring time as the rockburst parameter are obtained. The obtained water level parameter, vibration parameter, and acoustic parameter are marked as the maximum water level parameter, maximum vibration parameter, and maximum acoustic parameter, respectively.
[0061] Taking groundwater level as an example, various water level parameters of the rockburst monitoring area within the same assessment period T are obtained. The obtained water level parameters are numbered and denoted as j, where j = 1, 2, ..., m, and the obtained water level parameters are marked as S. j The maximum water level parameter is marked as S0;
[0062] Obtain the water level change coefficient of the maximum water level parameter, and label the obtained water level change coefficient as B. S0 ;
[0063]
[0064] The same method was used to obtain the vibration variation coefficient of the maximum vibration parameter and the acoustic variation coefficient of the maximum acoustic parameter. The obtained water level variation coefficient, vibration variation coefficient, and acoustic variation coefficient were compared with the rockburst variation coefficient. Based on the comparison results, the corresponding groundwater level, vibration signal, and acoustic signal were marked as different matching degrees.
[0065] The coefficient of variation closest to the magnitude of the rockburst variation coefficient is marked as the first degree of matching, the coefficient of variation relatively close to the magnitude of the rockburst variation coefficient is marked as the second degree of matching, and the coefficient of variation least close to the magnitude of the rockburst variation coefficient is marked as the third degree of matching.
[0066] It should be further explained that, in the specific implementation process, the process of setting dynamic weights for groundwater level, vibration signal, and sound wave signal according to the obtained matching degree, obtaining corresponding early warning coefficients, and generating early warning signals includes:
[0067] In an embodiment of the present invention, the groundwater level is marked as the first matching degree, the vibration signal is marked as the second matching degree, the sound wave signal is marked as the third matching degree, and different dynamic weights are set for different matching degrees. The dynamic weight of the first matching degree is set to Q1, the dynamic weight of the second matching degree is set to Q2, and the dynamic weight of the third matching degree is set to Q3, wherein Q1 > Q2 > Q3.
[0068] The subsequent water level parameters, vibration parameters, and acoustic parameters are respectively labeled as S. 参 F 参 H 参 The early warning coefficient of the rockburst monitoring area is obtained, and the obtained early warning coefficient is marked as Y;
[0069] Y = S 参 Q1+F 参 Q2+H 参 Q3;
[0070] Set the early warning threshold Y0;
[0071] When Y≥Y0, the warning coefficient is marked as an abnormal warning state, and a corresponding rockburst warning signal is generated;
[0072] When Y < Y0, no operation is performed on it.
[0073] It should be further explained that, in the specific implementation process, the feedback process for the various early warning signals obtained includes:
[0074] An information feedback unit is set up to provide feedback on various early warning signals, and staff will then process the received early warning signals. The early warning signals include water level early warning signals, vibration early warning signals, sound wave early warning signals, and rockburst early warning signals.
[0075] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.
Claims
1. A method for early warning of rockbursts based on a multi-dynamic weighting algorithm, characterized in that, Includes the following steps: Step S1: Set up water level monitoring points to monitor the groundwater level and obtain water level parameters. Set up vibration monitoring points and sound wave monitoring points according to the water level monitoring points. Monitor the vibration signal to obtain vibration parameters and monitor the sound wave signal to obtain sound wave parameters. Step S2: Set up rockburst monitoring points, monitor rockburst to obtain rockburst parameters, obtain corresponding water level standards, vibration standards, and sound wave standards based on rockburst parameters, and generate early warning signals; Step S3: Obtain the variation coefficient of rockburst, and at the same time obtain the variation coefficients of groundwater level, vibration signal and sound wave signal, and obtain the corresponding matching degree based on the obtained variation coefficients; Step S4: Based on the obtained matching degree, set dynamic weights for groundwater level, vibration signal, and sound wave signal respectively, obtain the corresponding early warning coefficients, and generate early warning signals; Step S5: Feedback the obtained early warning signals; The process of obtaining the variation coefficients of rockburst, groundwater level, vibration signal, and acoustic signal, and then determining the corresponding matching degree based on the obtained variation coefficients, includes: Set an assessment period, obtain the rockburst parameters of the rockburst monitoring points in the most recent assessment period, and then obtain the rockburst variation coefficient and the maximum rockburst parameter. Obtain the maximum water level parameter, maximum vibration parameter, and maximum acoustic parameter corresponding to the maximum rockburst parameter. The water level change coefficient, vibration change coefficient, and sound wave change coefficient of the maximum water level parameter, the vibration change coefficient of the maximum vibration parameter, and the sound wave change coefficient of the maximum sound wave parameter are obtained. The water level change coefficient, vibration change coefficient, and sound wave change coefficient are compared with the rockburst change coefficient. Based on the comparison results, the groundwater level, vibration signal, and sound wave signal are marked with different matching degrees. The matching degree includes a first matching degree, a second matching degree, and a third matching degree. Dynamic weights are assigned to groundwater level, vibration signal, and acoustic signal respectively. The dynamic weight for the first matching degree is set to Q1, the dynamic weight for the second matching degree is set to Q2, and the dynamic weight for the third matching degree is set to Q3, where Q1 > Q2 > Q3. The process of obtaining the corresponding early warning coefficient and generating an early warning signal includes: Different dynamic weights are set for different matching degrees. Based on subsequent water level parameters, vibration parameters, and acoustic parameters, the early warning coefficient of the rockburst monitoring area is obtained. The subsequent water level parameters, vibration parameters, and acoustic parameters are respectively labeled as S. 参 F 参 H 参 The early warning coefficient of the rockburst monitoring area is obtained, and the obtained early warning coefficient is marked as Y; ; It also sets an early warning threshold, compares the early warning coefficient with the early warning threshold, and generates a corresponding rockburst early warning signal based on the comparison result; Set the early warning threshold Y0; When Y≥Y0, the warning coefficient is marked as an abnormal warning state, and a corresponding rockburst warning signal is generated; When Y < Y0, no operation is performed on it.
2. The method for early warning of rockburst based on a multi-dynamic weighting algorithm according to claim 1, characterized in that, The process of setting up water level monitoring points to monitor groundwater levels and obtain water level parameters includes: Set up initial water level monitoring points and obtain initial water level monitoring areas. Set up water level monitoring units within the water level monitoring points. Monitor the groundwater level through the water level monitoring units to obtain the corresponding water level parameters. Obtain several water level monitoring points and their corresponding water level monitoring areas until all water level monitoring areas completely cover the entire mine.
3. The method for early warning of rockburst based on a multi-dynamic weighting algorithm according to claim 2, characterized in that, Setting up vibration monitoring points and sound wave monitoring points, monitoring vibration signals to obtain vibration parameters, and monitoring sound wave signals to obtain sound wave parameters include: Vibration monitoring points and acoustic monitoring points are set at the tangent points of adjacent water level monitoring areas. Vibration monitoring units are set up in the vibration monitoring points to monitor vibration signals and obtain corresponding vibration parameters. Acoustic monitoring units are set up in the acoustic monitoring points to monitor acoustic signals and obtain corresponding acoustic parameters.
4. The method for early warning of rockburst based on a multi-dynamic weighting algorithm according to claim 3, characterized in that, The process of setting up rockburst monitoring points and monitoring rockburst to obtain rockburst parameters includes: A rockburst monitoring area is obtained, and rockburst monitoring points are set up. Rockburst monitoring units are set up within the rockburst monitoring points, and rockburst is monitored through the rockburst monitoring units to obtain the corresponding rockburst parameters.
5. The method for early warning of rockburst based on a multi-dynamic weighting algorithm according to claim 4, characterized in that, The process of obtaining corresponding water level standards, vibration standards, and acoustic standards based on rockburst parameters, and generating early warning signals, includes: When the rockburst monitoring unit obtains rockburst parameters, it obtains the corresponding water level parameters, vibration parameters, and acoustic parameters, and then obtains the average water level, average vibration, and average acoustic values. Based on the average water level, it obtains the current water level standard of the rockburst monitoring area, compares the subsequent water level parameters with the water level standard, and generates a corresponding water level warning signal based on the comparison results. The same method is used to obtain the current vibration standard and acoustic standard of the rockburst monitoring area, and the subsequent vibration parameters and acoustic parameters are compared with the vibration standard and acoustic standard respectively. Based on the comparison results, corresponding vibration warning signals and acoustic warning signals are generated.
6. The method for early warning of rockburst based on a multi-dynamic weighting algorithm according to claim 5, characterized in that, The process of providing feedback on the various early warning signals obtained includes: An information feedback unit is set up to provide feedback on various early warning signals, including water level early warning signals, vibration early warning signals, sound wave early warning signals, and rockburst early warning signals.
Citation Information
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