A method and device for early warning of rockburst hazards based on the quiet period

Abstract

This invention relates to the field of coal and rock burst disaster monitoring technology, specifically to a method and device for early warning of rock burst hazards based on a quiet period. The method includes: collecting data on the hazardous area of ​​the mine to be monitored to obtain the temporal patterns of indicators; identifying these temporal patterns to obtain quiet period indicator time segments; calculating quiet period indicator factors and quiet period time factors based on these time segments; and issuing a rock burst hazard warning based on the quiet period indicator factors and quiet period time factors. This invention provides an accurate and efficient method for early warning of rock burst hazards based on a quiet period.

Description

Technical Field

[0001] This invention relates to the field of coal and rock rock burst disaster monitoring technology, and in particular to a method and device for early warning of rock burst danger based on the quiet period. Background Technology

[0002] With the increasing construction depth of underground engineering projects such as tunnels, hydropower stations, and mines, the intensity of ground stress and dynamic load disturbance shows a significant upward trend, causing damage to shafts and tunnels, casualties, and equipment damage. However, rockbursts have complex causes and are difficult to predict. Therefore, rockburst hazard early warning has become a research hotspot in this field, and significant results have been achieved, making important contributions to the prevention and control of rockbursts around the world.

[0003] Currently, the main methods for monitoring and early warning of coal and rock dynamic disasters include drill cuttings monitoring, electromagnetic radiation monitoring, pressure monitoring, ground sound monitoring, and microseismic monitoring. Each monitoring method has its own advantages and disadvantages. Using a single detection method can lead to drawbacks such as insufficient monitoring range, large monitoring workload, limited monitoring information, and inconsistent monitoring energy levels. Therefore, in practical applications, multiple monitoring methods are often used in combination to prevent missed events.

[0004] However, existing single-parameter monitoring or multi-parameter integrated early warning methods mainly rely on abnormal growth trends or high critical values ​​for early warning, and there is still a problem of missed reports. Extensive field monitoring data shows that before rockbursts occur, monitoring parameters such as daily total energy, frequency, and energy of microseismic events exhibit a "quiet period." This quiet period phenomenon differs from current monitoring methods that primarily rely on abnormal growth trends or high critical values ​​for early warning. In contrast to high critical value early warnings, it is the opposite of an abnormal increase in monitoring parameters before the occurrence of a rockburst hazard, followed by a significant decrease in parameter values ​​that persists for a certain period.

[0005] In the existing technology, there is a lack of an accurate and efficient method for early warning of rockburst hazards based on the quiet period. Summary of the Invention

[0006] This invention provides a method and device for early warning of rockburst hazards based on a quiet period. The technical solution is as follows:

[0007] On the one hand, a method for early warning of rockburst hazards based on a quiet period is provided. This method is implemented by electronic devices and includes:

[0008] Collect data on hazardous areas of the mine under test to obtain the temporal patterns of indicators;

[0009] Based on the time series pattern of the aforementioned indicators, time series segments of indicators during the quiet period are obtained;

[0010] Based on the time series segment of the quiet period index, the quiet period index factor and the quiet period time factor are obtained by calculation.

[0011] Based on the quiet period index factor and the quiet period time factor, a rockburst hazard warning is issued.

[0012] Optionally, the step of collecting data on the hazardous areas of the mine under test and obtaining the time-series patterns of the indicators includes:

[0013] Collect data on hazardous areas of the mine to be monitored to obtain mine monitoring data;

[0014] Based on the mine monitoring data, early warning index parameters are calculated.

[0015] The temporal evolution of the aforementioned early warning indicator parameters is performed to obtain the temporal pattern of the indicators.

[0016] The mine monitoring data includes the frequency of microseismic events, the total daily energy of microseismic events, the number of pulses, and the pulse energy in the dangerous areas of the mine to be monitored.

[0017] Wherein, the calm period indicator time series segment refers to the time series segment of the warning indicator parameter in the indicator time series pattern; in the time series segment, the decrease of the warning indicator parameter is greater than or equal to a preset magnitude threshold, and the duration of the decrease is greater than or equal to a preset time threshold.

[0018] Optionally, the calculation based on the time series segment of the calm period index to obtain the calm period index factor and the calm period time factor includes:

[0019] Information is read based on the time series segments of the quiet period index to obtain time series segment information;

[0020] Based on the time segment information, the weighted average value of the index parameters, the duration of the time segment, and the magnitude of the end time parameter are calculated to obtain the following:

[0021] The calm period index factor is calculated based on the weighted average of the index parameters and the amplitude of the end time parameter.

[0022] The quiet period time factor is obtained based on the duration of the time sequence segment.

[0023] Optionally, issuing a rockburst hazard warning based on the quiet period index factor and the quiet period time factor includes:

[0024] The indicator factor is compared with the preset indicator threshold. When the indicator factor is greater than or equal to the preset indicator threshold, an indicator factor alarm is obtained.

[0025] The time factor of the quiet period is compared with a preset time threshold. When the time factor of the quiet period is greater than or equal to the preset time threshold, a time factor alarm is obtained.

[0026] Based on the indicator factor alarm and the time factor alarm, a rockburst hazard warning is issued.

[0027] Optionally, the method further includes:

[0028] The indicator factor is compared with the preset indicator threshold. When the indicator factor is less than the preset indicator threshold, the indicator factor is considered to be in normal condition.

[0029] The time factor of the quiet period is compared with a preset time threshold. When the time factor of the quiet period is less than the preset time threshold, a normal time factor indication is obtained.

[0030] When a normal indication is received for the indicator factor or the time factor, monitoring of the hazardous area of ​​the mine to be monitored continues.

[0031] On the other hand, a rockburst hazard warning device based on a quiet period is provided. This device is applied to a rockburst hazard warning method based on a quiet period. The device includes:

[0032] The indicator time series data acquisition module is used to collect data on the dangerous areas of the mine under test and obtain the time series patterns of the indicators.

[0033] The quiet period segment acquisition module is used to identify quiet period indicator time series segments based on the time series pattern of the indicator.

[0034] The quiet period factor calculation module is used to calculate the quiet period index factor and the quiet period time factor based on the time series segment of the quiet period index.

[0035] The danger warning module is used to issue a rockburst danger warning based on the quiet period index factor and the quiet period time factor.

[0036] Optionally, the indicator time-series data acquisition module is further used for:

[0037] Collect data on hazardous areas of the mine to be monitored to obtain mine monitoring data;

[0038] Based on the mine monitoring data, early warning index parameters are calculated.

[0039] The temporal evolution of the aforementioned early warning indicator parameters is performed to obtain the temporal pattern of the indicators.

[0040] The mine monitoring data includes the frequency of microseismic events, the total daily energy of microseismic events, the number of pulses, and the pulse energy in the dangerous areas of the mine to be monitored.

[0041] Wherein, the calm period indicator time series segment refers to the time series segment of the warning indicator parameter in the indicator time series pattern; in the time series segment, the decrease of the warning indicator parameter is greater than or equal to a preset magnitude threshold, and the duration of the decrease is greater than or equal to a preset time threshold.

[0042] Optionally, the quiet period factor calculation module is further used for:

[0043] Information is read based on the time series segments of the quiet period index to obtain time series segment information;

[0044] Based on the time segment information, the weighted average value of the index parameters, the duration of the time segment, and the magnitude of the end time parameter are calculated to obtain the following:

[0045] The calm period index factor is calculated based on the weighted average of the index parameters and the amplitude of the end time parameter.

[0046] The quiet period time factor is obtained based on the duration of the time sequence segment.

[0047] Optionally, the hazard warning module is further used for:

[0048] The indicator factor is compared with the preset indicator threshold. When the indicator factor is greater than or equal to the preset indicator threshold, an indicator factor alarm is obtained.

[0049] The time factor of the quiet period is compared with a preset time threshold. When the time factor of the quiet period is greater than or equal to the preset time threshold, a time factor alarm is obtained.

[0050] Based on the indicator factor alarm and the time factor alarm, a rockburst hazard warning is issued.

[0051] Optionally, the hazard warning module is further used for:

[0052] The indicator factor is compared with the preset indicator threshold. When the indicator factor is less than the preset indicator threshold, the indicator factor is considered to be in normal condition.

[0053] The time factor of the quiet period is compared with a preset time threshold. When the time factor of the quiet period is less than the preset time threshold, a normal time factor indication is obtained.

[0054] When a normal indication is received for the indicator factor or the time factor, monitoring of the hazardous area of ​​the mine to be monitored continues.

[0055] On the other hand, an electronic device is provided, comprising a processor and a memory, wherein the memory stores at least one instruction, which is loaded and executed by the processor to implement the aforementioned method for early warning of rockburst hazards based on a quiet period.

[0056] On the other hand, a computer-readable storage medium is provided, wherein at least one instruction is stored in the storage medium, the at least one instruction being loaded and executed by a processor to implement the above-described method for early warning of rockburst hazards based on a quiet period.

[0057] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0058] This invention proposes a rockburst hazard early warning method based on a quiet period. It involves real-time monitoring of early warning indicator parameters; obtaining the temporal pattern of the indicators; automatically identifying quiet period segments accompanying abnormal increases in the indicators; calculating quiet period indicator factors and quiet period time factors; and comprehensively determining the rockburst hazard based on these factors to decide whether to issue a rockburst hazard warning. This invention enables early warning of some rockbursts that are missed by other early warning methods due to abnormal growth trends or high critical values, reducing missed reports and improving early warning accuracy. This invention is an accurate and efficient rockburst hazard early warning method based on a quiet period. Attached Figure Description

[0059] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0060] Figure 1 This is a flowchart of a rockburst hazard early warning method based on a quiet period provided by an embodiment of the present invention;

[0061] Figure 2 This is a block diagram of a rockburst hazard early warning device based on a quiet period, provided by an embodiment of the present invention;

[0062] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0063] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0064] This invention provides a method for early warning of rockburst hazards based on a quiet period. This method can be implemented by an electronic device, which can be a terminal or a server. Figure 1 The flowchart shown is a method for early warning of rockburst hazards based on the quiet period. The processing flow of this method may include the following steps:

[0065] S1. Collect data on the dangerous areas of the mine to be tested and obtain the time series patterns of the indicators.

[0066] Optionally, data on hazardous areas of the mine to be tested are collected to obtain the time-series patterns of indicators, including:

[0067] Collect data on hazardous areas of the mine to be monitored to obtain mine monitoring data;

[0068] Early warning indicator parameters are obtained by calculating based on mine monitoring data;

[0069] By analyzing the time-series evolution of early warning indicator parameters, the time-series patterns of the indicators can be obtained.

[0070] In one feasible implementation, the present invention deploys microseismic and ground acoustic monitoring systems in key hazardous areas of the mine to be monitored. These systems monitor relevant mine data and, based on relevant mine parameters, calculate early warning index parameters for each system in real time. The early warning index parameters of each system are then sorted chronologically to obtain the temporal pattern of the early warning indicators.

[0071] The mine monitoring data includes the frequency of microseismic events, the total daily energy of microseismic events, the number of pulses, and the pulse energy in the dangerous areas of the mine to be monitored.

[0072] In one feasible implementation, the present invention selects one or more of the following for monitoring and calculation based on the actual monitoring situation: microseismic frequency, total daily microseismic energy, number of pulses, and pulse energy.

[0073] S2. Identify the time series patterns of indicators to obtain time series segments of indicators during the quiet period.

[0074] Among them, the calm period indicator time series segment refers to the time series segment of the early warning indicator parameter in the indicator time series pattern; the magnitude of the decrease of the early warning indicator parameter in the time series segment is greater than or equal to the preset magnitude threshold, and the duration of the decrease is greater than or equal to the preset time threshold.

[0075] In one feasible implementation, the quiet period phenomenon of each indicator in the time series is automatically identified based on the time series evolution law of the early warning indicators in each monitoring system.

[0076] The quiescent period phenomenon refers to the phenomenon where various monitoring parameters suddenly drop from a previously sustained high value to a low value and remain there for a period of time. This invention utilizes the quiescent period phenomenon for early warning of rockbursts.

[0077] S3. Calculate the calm period index factor and calm period time factor based on the time series segment of the calm period index.

[0078] Optionally, calculations are performed based on time series segments of the calm period index to obtain the calm period index factor and the calm period time factor, including:

[0079] Information is read from time-series segments of quiet period indicators to obtain time-series segment information;

[0080] Calculations are performed based on time-series segment information to obtain the weighted average of index parameters, time-series segment duration, and end-time parameter magnitude.

[0081] The quiet period index factor is calculated based on the weighted average of the index parameters and the amplitude of the end time parameter.

[0082] The quiet period time factor is obtained based on the duration of the time sequence segment.

[0083] In one feasible implementation, the warning parameter information is read from the quiet period segment in the identified time series segment, and the quiet period index factor is calculated accordingly. The calculation formula of the quiet period index factor is shown in the following formula (1):

[0084]

[0085] Among them, Q i (t) represents the quiet period indicator factor. M(t) is the weighted average of the research parameters over a period of time, which is the ratio of the cumulative value of the research parameters over that period of time to the value of that period of time. M(t) is the value of the early warning indicator parameter studied at time t.

[0086] Quiet period time factor T i The duration of the quiescent period.

[0087] S4. Issue a rockburst hazard warning based on the quiet period index factor and the quiet period time factor.

[0088] Optionally, based on the quiet period index factor and the quiet period time factor, a rockburst hazard warning may be issued, including:

[0089] The indicator factor is compared with the preset indicator threshold. When the indicator factor during the calm period is greater than or equal to the preset indicator threshold, an indicator factor alarm is obtained.

[0090] Based on the comparison between the quiet period time factor and the preset time threshold, a time factor alarm is obtained when the quiet period time factor is greater than or equal to the preset time threshold.

[0091] Based on indicator factor alerts and time factor alerts, a rockburst hazard warning is issued.

[0092] In one feasible implementation, based on the quiet period index factor Q i (t) and the quiet period time factor T i A comprehensive assessment of the impact risk is conducted to determine whether the system should issue a rockburst hazard warning.

[0093] The comprehensive assessment of the impact risk is based on the calm period index factor Q. i (t) and the quiet period time factor T i Whether the impact threshold is exceeded or not, an early warning is issued if both exceed a preset threshold. The preset impact threshold Q is... i (t) is 0.57-1; when the indicators for early warning monitoring are microseismic frequency and daily total energy of microseismic events, the quiet period time factor T i When the monitoring parameters for early warning are pulse count and energy, and the time factor T is greater than 24 hours, the quiet period is... i More than 2 hours.

[0094] Optionally, the method further includes:

[0095] The indicator factor is compared with the preset indicator threshold during the quiet period. When the indicator factor during the quiet period is less than the preset indicator threshold, the indicator factor is considered to be in normal condition.

[0096] The time factor is compared with the preset time threshold. When the time factor is less than the preset time threshold, the time factor is considered to be in normal condition.

[0097] When a normal indicator factor or a normal time factor is received, the monitoring of the dangerous area of ​​the mine under test continues.

[0098] In one feasible implementation, the present invention uses the microseismic activity from October 25, 2016 to April 26, 2017, monitored by the ground sound monitoring system of a rockburst-prone working face as raw data, processes and analyzes the raw data using the method of the present invention, obtains the monitoring and early warning indicators of the present invention, and uses the early warning method to determine the rockburst hazard status of the working face.

[0099] The total daily energy and frequency of microseismic events were selected as research parameters. The microseismic energy data were extracted from the period from January 3 to January 31, 2017, and the microseismic frequency data were extracted from April 18 to April 26, 2017.

[0100] Data processed using a rockburst hazard warning method based on a quiet period according to the present invention shows that the daily total energy time factor for microseismic events is 120 hours, and the microseismic frequency time factor is 48 hours. During the quiet period, the calculated quiet period index factors for daily total energy and microseismic frequency are 0.98 and 0.88, respectively, both exceeding the minimum threshold. Therefore, a rockburst hazard warning should be issued after the quiet period for daily total energy and microseismic frequency during this time period.

[0101] By comparing the hazard warning records in the original data, it was found that after the impact hazard warning was issued, the working face showed signs of impact. This proves that the method of issuing impact hazard warnings based on the calm period is feasible.

[0102] This invention proposes a rockburst hazard early warning method based on a quiet period. It involves real-time monitoring of early warning indicator parameters; obtaining the temporal pattern of the indicators; automatically identifying quiet period segments accompanying abnormal increases in the indicators; calculating quiet period indicator factors and quiet period time factors; and comprehensively determining the rockburst hazard based on these factors to decide whether to issue a rockburst hazard warning. This invention enables early warning of some rockbursts that are missed by other early warning methods due to abnormal growth trends or high critical values, reducing missed reports and improving early warning accuracy. This invention is an accurate and efficient rockburst hazard early warning method based on a quiet period.

[0103] Figure 2 This is a block diagram illustrating a rockburst hazard early warning device based on a quiet period, according to an exemplary embodiment. (Refer to...) Figure 2 The device includes:

[0104] The indicator time series data acquisition module 210 is used to collect data on the dangerous area of ​​the mine to be tested and obtain the time series pattern of the indicator.

[0105] The quiet period segment acquisition module 220 is used to identify quiet period indicator time series segments based on the time series pattern of the indicator.

[0106] The quiet period factor calculation module 230 is used to calculate the quiet period index factor and the quiet period time factor based on the time series segment of the quiet period index.

[0107] The hazard warning module 240 is used to issue rockburst hazard warnings based on the calm period index factor and the calm period time factor.

[0108] Optionally, the indicator time series data acquisition module 210 is further used for:

[0109] Collect data on hazardous areas of the mine to be monitored to obtain mine monitoring data;

[0110] Early warning indicator parameters are obtained by calculating based on mine monitoring data;

[0111] By analyzing the time-series evolution of early warning indicator parameters, the time-series patterns of the indicators can be obtained.

[0112] The mine monitoring data includes the frequency of microseismic events, the total daily energy of microseismic events, the number of pulses, and the pulse energy in the dangerous areas of the mine to be monitored.

[0113] Among them, the calm period indicator time series segment refers to the time series segment of the early warning indicator parameter in the indicator time series pattern; the magnitude of the decrease of the early warning indicator parameter in the time series segment is greater than or equal to the preset magnitude threshold, and the duration of the decrease is greater than or equal to the preset time threshold.

[0114] Optionally, the quiet period factor calculation module 230 is further used for:

[0115] Information is read from time-series segments of quiet period indicators to obtain time-series segment information;

[0116] Calculations are performed based on time-series segment information to obtain the weighted average of index parameters, time-series segment duration, and end-time parameter magnitude.

[0117] The quiet period index factor is calculated based on the weighted average of the index parameters and the amplitude of the end time parameter.

[0118] The quiet period time factor is obtained based on the duration of the time sequence segment.

[0119] Optionally, the hazard warning module 240 is further used for:

[0120] The indicator factor is compared with the preset indicator threshold. When the indicator factor during the calm period is greater than or equal to the preset indicator threshold, an indicator factor alarm is obtained.

[0121] Based on the comparison between the quiet period time factor and the preset time threshold, a time factor alarm is obtained when the quiet period time factor is greater than or equal to the preset time threshold.

[0122] Based on indicator factor alerts and time factor alerts, a rockburst hazard warning is issued.

[0123] Optionally, the hazard warning module 240 is further used for:

[0124] The indicator factor is compared with the preset indicator threshold during the quiet period. When the indicator factor during the quiet period is less than the preset indicator threshold, the indicator factor is considered to be in normal condition.

[0125] The time factor is compared with the preset time threshold. When the time factor is less than the preset time threshold, the time factor is considered to be in normal condition.

[0126] When a normal indicator factor or a normal time factor is received, the monitoring of the dangerous area of ​​the mine under test continues.

[0127] This invention proposes a rockburst hazard early warning method based on a quiet period. It involves real-time monitoring of early warning indicator parameters; obtaining the temporal pattern of the indicators; automatically identifying quiet period segments accompanying abnormal increases in the indicators; calculating quiet period indicator factors and quiet period time factors; and comprehensively determining the rockburst hazard based on these factors to decide whether to issue a rockburst hazard warning. This invention enables early warning of some rockbursts that are missed by other early warning methods due to abnormal growth trends or high critical values, reducing missed reports and improving early warning accuracy. This invention is an accurate and efficient rockburst hazard early warning method based on a quiet period.

[0128] Figure 3 This is a schematic diagram of the structure of an electronic device 300 provided in an embodiment of the present invention. The electronic device 300 may vary considerably due to different configurations or performance. It may include one or more central processing units (CPUs) 301 and one or more memories 302. The memory 302 stores at least one instruction, which is loaded and executed by the processor 301 to implement the steps of the above-mentioned method for early warning of rockburst hazards based on a quiet period.

[0129] In an exemplary embodiment, a computer-readable storage medium is also provided, such as a memory including instructions that can be executed by a processor in a terminal to complete the aforementioned method for early warning of rockburst hazards based on a quiet period. For example, the computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, or optical data storage device.

[0130] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0131] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for early warning of rockburst hazards based on the quiet period, characterized in that, The method includes: Collect data on hazardous areas of the mine under test to obtain the temporal patterns of indicators; Based on the time series pattern of the aforementioned indicators, time series segments of indicators during the quiet period are obtained; Based on the time series segment of the quiet period index, the quiet period index factor and the quiet period time factor are obtained by calculation. The calculation based on the time series segment of the calm period index to obtain the calm period index factor and the calm period time factor includes: Information is read based on the time series segments of the quiet period index to obtain time series segment information; Based on the time segment information, the weighted average value of the index parameters, the duration of the time segment, and the magnitude of the end time parameter are calculated to obtain the following: The calm period index factor is calculated based on the weighted average of the index parameters and the amplitude of the end time parameter. The quiet period time factor is obtained based on the duration of the time segment. Based on the quiet period index factor and the quiet period time factor, a rockburst hazard warning is issued; Among them, when the indicator parameters for early warning monitoring are microseismic frequency and total daily energy of microseismic events, the quiet period time factor is greater than 24 hours; when the indicator parameters for early warning monitoring are pulse number and energy, the quiet period time factor is greater than 2 hours. The calm period indicator time series segment refers to the time series segment of the early warning indicator parameter in the indicator time series pattern; the magnitude of the decrease of the early warning indicator parameter in the time series segment is greater than or equal to a preset magnitude threshold, and the duration of the decrease is greater than or equal to a preset time threshold.

2. The method for early warning of rockburst hazards based on a quiet period according to claim 1, characterized in that, The process of collecting data on hazardous areas of the mine under test and obtaining the time-series patterns of indicators includes: Collect data on hazardous areas of the mine to be monitored to obtain mine monitoring data; Based on the mine monitoring data, early warning index parameters are calculated. The temporal evolution of the aforementioned early warning indicator parameters is performed to obtain the temporal pattern of the indicators.

3. The method for early warning of rockburst hazards based on a quiet period according to claim 2, characterized in that, The mine monitoring data includes the frequency of microseismic events, the total daily energy of microseismic events, the number of pulses, and the pulse energy in the hazardous areas of the mine under test.

4. The method for early warning of rockburst hazards based on a quiet period according to claim 1, characterized in that, The issuance of a rockburst hazard warning based on the quiet period index factor and the quiet period time factor includes: The indicator factor is compared with the preset indicator threshold. When the indicator factor is greater than or equal to the preset indicator threshold, an indicator factor alarm is obtained. The time factor of the quiet period is compared with a preset time threshold. When the time factor of the quiet period is greater than or equal to the preset time threshold, a time factor alarm is obtained. Based on the indicator factor alarm and the time factor alarm, a rockburst hazard warning is issued.

5. The method for early warning of rockburst hazards based on a quiet period according to claim 4, characterized in that, The method further includes: The indicator factor is compared with the preset indicator threshold. When the indicator factor is less than the preset indicator threshold, the indicator factor is considered to be in normal condition. The time factor of the quiet period is compared with a preset time threshold. When the time factor of the quiet period is less than the preset time threshold, a normal time factor indication is obtained. When a normal indication is received for the indicator factor or the time factor, monitoring of the hazardous area of ​​the mine to be monitored continues.

6. A rockburst hazard early warning device based on a quiet period, characterized in that, The device includes: The indicator time series data acquisition module is used to collect data on the dangerous areas of the mine under test and obtain the time series patterns of the indicators. The quiet period segment acquisition module is used to identify quiet period indicator time series segments based on the time series pattern of the indicator. The quiet period factor calculation module is used to calculate the quiet period index factor and the quiet period time factor based on the time series segment of the quiet period index. The quiet period factor calculation module is further used for: Information is read based on the time series segments of the quiet period index to obtain time series segment information; Based on the time segment information, the weighted average value of the index parameters, the duration of the time segment, and the magnitude of the end time parameter are calculated to obtain the following: The calm period index factor is calculated based on the weighted average of the index parameters and the amplitude of the end time parameter. The quiet period time factor is obtained based on the duration of the time segment. The danger warning module is used to issue a rockburst danger warning based on the quiet period index factor and the quiet period time factor. Among them, when the indicator parameters for early warning monitoring are microseismic frequency and total daily energy of microseismic events, the quiet period time factor is greater than 24 hours; when the indicator parameters for early warning monitoring are pulse number and energy, the quiet period time factor is greater than 2 hours. The calm period indicator time series segment refers to the time series segment of the early warning indicator parameter in the indicator time series pattern; the magnitude of the decrease of the early warning indicator parameter in the time series segment is greater than or equal to a preset magnitude threshold, and the duration of the decrease is greater than or equal to a preset time threshold.

7. A rockburst hazard early warning device based on a quiet period according to claim 6, characterized in that, The indicator time series data acquisition module is further used for: Collect data on hazardous areas of the mine to be monitored to obtain mine monitoring data; Based on the mine monitoring data, early warning index parameters are calculated. The temporal evolution of the aforementioned early warning indicator parameters is performed to obtain the temporal pattern of the indicators.

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