Comprehensive evaluation method and related equipment based on long-term stability of deep-buried cavern

Abstract

The application provides a comprehensive evaluation method based on long-term stability of deep buried caverns and related equipment, which can realize dynamic and comprehensive quantitative evaluation of cavern stability. The method comprises the following steps: preprocessing a monitoring data set of a deep buried cavern collected in a current period to obtain target monitoring data; determining a set of damage tendency indexes according to the target monitoring data; dynamically correcting initial weights of the damage tendency indexes in the set of damage tendency indexes to obtain a set of corrected weights; determining a target dynamic comprehensive index value according to the set of corrected weights and the set of damage tendency indexes; if the current period is a preset period, calculating a failure probability of the deep buried cavern according to the target dynamic comprehensive index value and dynamic comprehensive indexes of each period in a total monitoring duration corresponding to the deep buried cavern; and determining a comprehensive stability of the deep buried cavern according to the failure probability of the deep buried cavern and the dynamic comprehensive index value of each period in a plurality of periods.

Description

Technical Field

[0001] This invention relates to the field of underground engineering, and in particular to a comprehensive evaluation method and related equipment based on the long-term stability of deeply buried caverns. Background Technology

[0002] With the advancement of science and technology and the deepening of human resource exploitation, deep underground cavern engineering has been widely applied in many fields. As an important scientific research infrastructure, the long-term stability of deep underground laboratories is crucial. They are often used to conduct high-precision, high-sensitivity physical and medical experiments, as well as deep rock mechanics experiments, which have extremely high requirements for environmental stability and reliability.

[0003] Traditional stability studies of deeply buried underground laboratories rely primarily on simple geological surveys, preliminary mechanical analyses, and empirical formulas to roughly assess stability. This traditional approach has several drawbacks: first, it fails to adequately consider complex geological environments, making it difficult to accurately assess the combined effects of high ground stress, groundwater seepage, and other adverse factors; second, it lacks dynamic monitoring and analysis methods for long-term stability changes, making it impossible to monitor surrounding rock deformation and rock mass weakening due to seepage in real time. This can lead to the displacement of precision instruments due to minor surrounding rock deformation during experiments, affecting the accuracy of experimental results, and even causing structural damage due to long-term rock mass weakening, endangering personnel and equipment safety. Summary of the Invention

[0004] This invention provides a comprehensive evaluation method and related equipment for the long-term stability of deeply buried caverns, which can realize dynamic, comprehensive, and quantitative evaluation of cavern stability.

[0005] The first aspect of this invention provides a comprehensive evaluation method based on the long-term stability of deeply buried caverns, comprising:

[0006] The monitoring data set of deeply buried caverns collected in the current period is preprocessed to obtain the target monitoring data;

[0007] The set of destructive tendency indicators corresponding to the deep-buried cavern is determined based on the target monitoring data;

[0008] The initial weights of the destructive tendency indicators in the set of destructive tendency indicators are dynamically adjusted to obtain a set of adjusted weights.

[0009] The target dynamic comprehensive index value is determined based on the modified weight set and the destructive tendency index set;

[0010] If the current period is a preset period, the failure probability of the deep-buried cavern is calculated based on the target dynamic comprehensive index value and the dynamic comprehensive index of each period within the total monitoring time corresponding to the deep-buried cavern.

[0011] The overall stability of the deep-buried cavern is determined based on the failure probability of the deep-buried cavern and the dynamic comprehensive index value of each of the multiple cycles. The multiple cycles are included in the total monitoring time and are before the current cycle. The current cycle and the first cycle are adjacent cycles, and the first cycle is the latest cycle among the multiple cycles.

[0012] A second aspect of the present invention provides a comprehensive evaluation device based on the long-term stability of deeply buried caverns, comprising:

[0013] The preprocessing module is used to preprocess the monitoring data set of the deep buried caverns collected in the current cycle to obtain the target monitoring data;

[0014] The first determining module is used to determine the set of destructive tendency indicators corresponding to the deep-buried cavern based on the target monitoring data;

[0015] The correction module is used to dynamically correct the initial weights of the destructive tendency indicators in the set of destructive tendency indicators to obtain a corrected weight set.

[0016] The second determining module is used to determine the target dynamic comprehensive index value based on the modified weight set and the destructive tendency index set;

[0017] The calculation module is used to calculate the failure probability of the deep-buried cavern based on the target dynamic comprehensive index value and the dynamic comprehensive index of each cycle within the total monitoring time corresponding to the deep-buried cavern if the current cycle is a preset cycle.

[0018] The third determining module is used to determine the comprehensive stability of the deep-buried cavern based on the failure probability of the deep-buried cavern and the dynamic comprehensive index value of each of the multiple cycles. The multiple cycles are included in the total monitoring time and are before the current cycle. The current cycle and the first cycle are adjacent cycles, and the first cycle is the latest cycle among the multiple cycles.

[0019] In one possible design, the computing module is specifically used for:

[0020] The failure probability of the deeply buried cavern is determined by the following formula:

[0021]

[0022] in, The failure probability is... The total monitoring duration is [missing information]. This is an indicator function; its value is 1 if the condition is true, and 0 otherwise. For the first The dynamic comprehensive index value for each cycle.

[0023] In one possible design, the third determining module is specifically used for:

[0024] Determine whether the failure probability is less than a first preset value and determine whether the dynamic comprehensive index of each of the multiple cycles is less than a second preset value;

[0025] If the failure probability is less than the first preset value, and there is a first period in which the dynamic comprehensive index value is not less than the second preset value among the multiple periods, then the comprehensive stability of the deep-buried cavern is determined to be temporarily stable.

[0026] If the failure probability is not less than the first preset value, and the dynamic comprehensive index of each of the multiple cycles is less than the second preset value, then the comprehensive stability of the deep-buried cavern is determined to be continuously stable.

[0027] If the failure probability is less than the first preset value, and the dynamic comprehensive index of each of the multiple cycles is less than the second preset value, then the comprehensive stability of the deep-buried cavern is determined to be long-term stable.

[0028] In one possible design, the second determining module is specifically used for:

[0029] The target dynamic comprehensive index value is determined using the following formula:

[0030]

[0031] in, The target dynamic comprehensive index value, The modified weights corresponding to each indicator in the set of destructive tendency indicators The intensity of microseismic energy release. For stress disturbance degree, The anchor bolt stress exceedance rate. It is a relatively critical acceleration trend. The percentage of the crack area. This represents the maximum strain variability.

[0032] In one possible design, the first determining module is specifically used for:

[0033] The intensity of the microseismic energy release is determined using the following formula:

[0034]

[0035] Where E is the energy released during the current cycle. The extreme value of the monitoring data in the target period set is the set of periods before the second period within the total monitoring time, and the second period is the earliest period among the multiple periods;

[0036] The stress disturbance degree is determined by the following formula:

[0037]

[0038] in, For stress tensor and The principal stress difference;

[0039] The anchor bolt stress over-limit rate is determined by the following formula:

[0040]

[0041] in, The magnitude of the stress monitored during the current period. For yield stress, To allow for safe stress;

[0042] The acceleration trend of the relative critical displacement is determined by the following formula:

[0043]

[0044] in, This is the initial displacement. Let T be the displacement at time T. To allow for safe displacement;

[0045] The proportion of the crack area is determined by the following formula:

[0046]

[0047] in, The area of ​​the current crack. This represents the total area of ​​the drilling camera holes;

[0048] The maximum strain variability is determined by the following formula:

[0049]

[0050] in, The maximum strain that occurs during surface deformation. The minimum strain that causes surface deformation. To allow for safe responses.

[0051] In one possible design, the correction module is specifically used for:

[0052] The initial weight corresponding to the intensity of the microseismic energy release is dynamically corrected using the following formula:

[0053]

[0054] in, The initial weight corresponding to the corrected intensity of the microseismic energy release. As a microseismic energy-damage synergistic factor, ;

[0055] The initial weight of each destructive tendency indicator is dynamically adjusted using the following formula:

[0056]

[0057] in, The weight of each destructive tendency indicator in the t-th monitoring period after correction. To control the decay rate of historical data weights, It is an exponentially decaying function. To monitor the total duration, For each monitoring period.

[0058] In one possible design, the preprocessing module is specifically used for:

[0059] The construction disturbance data in the monitoring data set is removed to obtain the removed data set;

[0060] Temperature stress compensation is performed on the discarded data set to obtain a compensated data set;

[0061] The compensation data set is normalized to obtain the target monitoring data.

[0062] In one possible design, the third determining module is further configured to:

[0063] The safety level of the deep-buried cavern in the current period is determined based on the target dynamic comprehensive index value.

[0064] An assessment report of the deep-buried cavern is output based on the comprehensive stability of the cavern.

[0065] A third aspect of the present invention provides an electronic device, including a memory and a processor, wherein the processor is configured to execute a computer management program stored in the memory to implement the steps of the comprehensive evaluation method based on the long-term stability of deeply buried caverns as described in any of the preceding aspects.

[0066] A fourth aspect of the present invention provides a computer-readable storage medium having a computer management program stored thereon, which, when executed by a processor, implements the steps of the comprehensive evaluation based on the long-term stability of deeply buried caverns as described in any of the preceding aspects.

[0067] In summary, it can be seen that in the embodiments provided by the present invention, the monitoring data set of deeply buried caverns collected in the current period is preprocessed to obtain target monitoring data; a set of damage tendency indicators corresponding to the deeply buried cavern is determined based on the target monitoring data; the initial weights of the damage tendency indicators in the set of damage tendency indicators are dynamically corrected to obtain a corrected weight set; a target dynamic comprehensive indicator value is determined based on the corrected weight set and the set of damage tendency indicators; if the current period is a preset period, the failure probability of the deeply buried cavern is calculated based on the target dynamic comprehensive indicator value and the dynamic comprehensive indicator of each period within the total monitoring time corresponding to the deeply buried cavern; the comprehensive stability of the deeply buried cavern is determined based on the failure probability of the deeply buried cavern and the dynamic comprehensive indicator value of each period in multiple periods. Therefore, by integrating multiple monitoring data and dynamically correcting the indicators corresponding to the multiple monitoring data, a dynamic and comprehensive quantitative evaluation of cavern stability can be achieved. Attached Figure Description

[0068] Figure 1 A flowchart illustrating the comprehensive evaluation method for the long-term stability of deeply buried caverns provided in this embodiment of the invention;

[0069] Figure 2 This is a schematic diagram of data acquisition provided in an embodiment of the present invention;

[0070] Figure 3 A schematic diagram illustrating the preprocessing of the monitoring data set provided in the embodiments of the present invention;

[0071] Figure 4 A schematic diagram of dynamic weight correction provided in an embodiment of the present invention;

[0072] Figure 5 A schematic diagram illustrating the security level determination provided in an embodiment of the present invention;

[0073] Figure 6 A schematic diagram illustrating the long-term stability determination of a deeply buried cavern, as provided in an embodiment of the present invention;

[0074] Figure 7 A virtual structural diagram of a comprehensive evaluation device for the long-term stability of deeply buried caverns provided in an embodiment of the present invention;

[0075] Figure 8A schematic diagram of the hardware structure of the comprehensive evaluation device for the long-term stability of deeply buried caverns provided in an embodiment of the present invention;

[0076] Figure 9 A schematic diagram of an embodiment of the electronic device provided in this invention;

[0077] Figure 10 A schematic diagram illustrating an embodiment of a computer-readable storage medium provided in this invention. Detailed Implementation

[0078] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0079] In the following description, specific embodiments of the invention will be illustrated with reference to steps and symbols performed by one or more computers, unless otherwise stated. Therefore, these steps and operations will be referred to several times as being performed by a computer, and computer execution as referred to herein includes operations by a computer processing unit representing electronic signals of data in a structured format. This operation transforms the data or maintains it at a location in the computer's memory system, which can be reconfigured or otherwise alter the operation of the computer in a manner well known to those skilled in the art. The data structure maintained by the data is the physical location of the memory, which has specific characteristics defined by the data format. However, the principles of the invention described above are not intended to be limiting, and those skilled in the art will understand that many of the steps and operations described below can also be implemented in hardware.

[0080] The principles of this invention are applied using many other general-purpose or purpose-specific computing, communication environments, or configurations. Examples of well-known computing systems, environments, and configurations suitable for use with this invention include (but are not limited to) handheld phones, personal computers, servers, multiprocessor systems, microcomputer-based systems, mainframe computers, and distributed computing environments, including any of the aforementioned systems or devices.

[0081] The terms "first," "second," and "third," etc., used in this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0082] The following description focuses on the comprehensive evaluation method for the long-term stability of deeply buried caverns provided by this invention, from the perspective of a comprehensive evaluation device for the long-term stability of deeply buried caverns. This comprehensive evaluation device for the long-term stability of deeply buried caverns can be a server or a service unit within a server, and is not specifically limited.

[0083] Please see Figure 1 , Figure 1 A flowchart illustrating the comprehensive evaluation method for the long-term stability of deeply buried caverns provided by this invention includes:

[0084] 101. Preprocess the monitoring data set of the deep-buried caverns collected in the current cycle to obtain the target monitoring data.

[0085] In this embodiment, the server can collect data on the deep-buried cavern within the current period (taking one month as an example, that is, each period is one month, but other durations are also possible, and no specific limitation is made) to obtain the monitoring data set of the deep-buried cavern within the current period. Then, the monitoring data set is preprocessed to obtain the target detection data.

[0086] Please see Figure 2 , Figure 2 This is a data acquisition diagram provided in an embodiment of the present invention. The server acquires data from the deeply buried cavern mainly through microseismic monitoring equipment, disturbance stress gauges (three-dimensional stress sensors), anchor stress gauges, multi-point displacement gauges, borehole imaging instruments, and surface strain gauges, as detailed below:

[0087] Microseismic monitoring system: records the daily maximum energy event value E (unit: J);

[0088] Three-dimensional stress sensor: acquires the magnitude of stress components at the measuring point and obtains the degree of disturbance. ;

[0089] Anchor bolt stress gauge: Collects the actual stress RA (unit: MPa) of the support anchor bolt;

[0090] Multi-point displacement gauge: measuring displacement increments at key cross-sections (Unit: mm);

[0091] Borehole imaging instrument: An imaging test is conducted monthly to obtain the percentage of fracture area. ;

[0092] Surface strain gauge: records the strain at each measuring point. (unit: ).

[0093] Please see Figure 3 , Figure 3This is a schematic diagram illustrating the preprocessing of the monitoring data set provided in this embodiment of the invention. The server preprocesses the monitoring data set, including operations such as removing construction disturbance data, temperature stress compensation, and normalization. Specifically, construction disturbance data is removed from the monitoring data set to obtain a removed data set; temperature stress compensation is then performed on the removed data set to obtain a compensated data set (strain values ​​are calculated according to...). (Correction); normalize the compensation data set to obtain the target monitoring data. The normalization process maps the original data to the [0, 1] interval.

[0094] 102. Determine the set of destructive tendency indicators corresponding to the deep-buried cavern based on the target monitoring data.

[0095] In this embodiment, after determining the target monitoring data, the server can determine the set of damage tendency indicators corresponding to the deep-buried cavern based on the target monitoring data. This set of damage tendency indicators includes microseismic energy release intensity, stress disturbance degree, anchor bolt stress over-limit rate, relative critical acceleration trend, crack area ratio, and maximum strain variability. It can be understood that each indicator in this set of damage tendency indicators is normalized to a value between 0 and 1; the larger the value, the higher the risk. The following details how each indicator in the set of damage tendency indicators is determined:

[0096] The intensity of microseismic energy release is determined by the following formula (using logarithmic compression of energy magnitude differences to avoid time-dominance of single high-energy events):

[0097]

[0098] Where E represents the energy released during the current cycle. The extreme values ​​of the monitoring data in the target period set are the sets of periods that are prior to the second period within the total monitoring duration (e.g., 3 years and 6 months). The second period is the earliest period among multiple periods.

[0099] The stress perturbation degree is determined by the following formula:

[0100]

[0101] in, For stress tensor and The principal stress difference;

[0102] The anchor bolt stress over-limit rate is determined using the following formula:

[0103]

[0104] in, The magnitude of the stress monitored during the current cycle. For yield stress, To allow for safe stress;

[0105] The acceleration trend of the relative critical displacement is determined by the following formula:

[0106]

[0107] in, This is the initial displacement. Let T be the displacement at time T. To allow for safe displacement, the anomaly is amplified by square, thus enhancing the sensitivity to deceleration deformation;

[0108] The crack area ratio is determined using the following formula (damage is quantified through image recognition):

[0109]

[0110] in, The area of ​​the current crack. This represents the total area of ​​the drilling camera holes;

[0111] The maximum strain variability is determined by the following formula:

[0112]

[0113] in, The maximum strain that occurs during surface deformation. The minimum strain that causes surface deformation. To allow for safe responses.

[0114] 103. Dynamically adjust the initial weights of the destructive tendency indicators in the set of destructive tendency indicators to obtain a set of adjusted weights.

[0115] In this embodiment, after determining the set of destructive tendency indicators, the server can dynamically adjust the initial weights of the destructive tendency indicators in the set to obtain a adjusted weight set. This dynamic adjustment includes two types of adjustments:

[0116] 1. Only the intensity of microseismic energy release is dynamically corrected;

[0117] 2. Dynamically adjust each destructive tendency indicator in the set of destructive tendency indicators;

[0118] The following is combined Figure 4 For an explanation of dynamic weight correction, please refer to [link / reference]. Figure 4 , Figure 4 A schematic diagram of dynamic weight correction provided in an embodiment of the present invention:

[0119] 1. Only the initial weight of the microseismic energy release intensity is dynamically adjusted (the initial weight of the microseismic energy release intensity is dynamically correlated with the fracture area ratio):

[0120] The initial weights corresponding to the intensity of microseismic energy release are dynamically corrected using the following formula:

[0121]

[0122] in, The initial weight corresponding to the corrected intensity of the microseismic energy release. As a microseismic energy-damage synergistic factor, ;

[0123] Characterizing the amplification effect of fracture damage on microseismic energy risk, when rock mass fractures are developed ( When the intensity increases, the risk of instability caused by the same amount of microseismic energy release is higher. The strength of the "damage-energy" synergistic enhancement mechanism was quantified, and the specific values ​​are shown in Table 1 below:

[0124]

[0125] 2. Dynamically adjust each destructive tendency indicator in the destructive tendency indicator set:

[0126] The initial weight of each destructive tendency indicator is dynamically adjusted using the following formula:

[0127]

[0128] in, The weight of each destructive tendency indicator in the t-th monitoring period after correction. To control the decay rate of historical data weights, It is an exponentially decaying function. To monitor the total duration, For each monitoring period.

[0129] It should be noted that, To control the decay rate of historical data weights, reflecting that recent data is more important than earlier data, an exponential decay function is used. Implement dynamic weight allocation ( For all current times being monitored, (for historical monitoring time) The range of values ​​for is shown in Table 2 below:

[0130]

[0131] 104. Determine the target dynamic comprehensive index value based on the modified weight set and the destructive tendency index set.

[0132] In this embodiment, the server can determine the target dynamic comprehensive index value based on the modified weight set and the destructive tendency index set. Specifically, the server determines the target dynamic comprehensive index value using the following formula:

[0133]

[0134] in, The target dynamic comprehensive index value, The adjusted weights are those corresponding to each indicator in the set of destructive tendency indicators. The intensity of microseismic energy release. For stress disturbance degree, The anchor bolt stress exceedance rate. It is a relatively critical acceleration trend. The percentage of the crack area. This represents the maximum strain variability.

[0135] It should be noted that the correction weight for the intensity of the microseismic energy release is the corrected weight after two corrections, while the correction weights for other indicators are the corrected weights after one correction. The correction methods have been explained in detail above, and will not be repeated here.

[0136] It should also be noted that after determining the target dynamic comprehensive index value, the server can use this value to determine the safety level of the deep-buried cavern within the current period. Please refer to [link / reference needed]. Figure 5 , Figure 5 This is a schematic diagram for determining the safety level, and the safety level and the monitoring data for the current period are updated to the database.

[0137] 105. If the current period is a preset period, the failure probability of the deep-buried cavern is calculated based on the target dynamic comprehensive index value and the dynamic comprehensive index of each period within the total monitoring time corresponding to the deep-buried cavern.

[0138] In this embodiment, the server can determine whether the current cycle is a preset cycle. The preset cycle is the Nth cycle pre-set from the initial monitoring cycle. For example, N can be the 42nd cycle. One cycle is one month, or 3 years and 6 months. When the current cycle is determined to be the preset cycle, the server determines the failure probability of the deep-buried cavern using the following formula:

[0139]

[0140] in, This represents the probability of failure. The total monitoring period is 3 years and 6 months. This is an indicator function; its value is 1 if the condition is true, and 0 otherwise. For the first The dynamic comprehensive index value for each cycle.

[0141] 106. Determine the overall stability of the deep-buried cavern based on the failure probability of the deep-buried cavern and the dynamic comprehensive index value of each cycle in multiple cycles.

[0142] In this embodiment, the server determines the overall stability of the buried cavern based on the failure probability of the buried cavern and the dynamic comprehensive index value of each of the multiple cycles. These multiple cycles are included within the total monitoring duration and precede the current cycle. The current cycle is adjacent to the first cycle, which is the latest of the multiple cycles. That is, starting from three years of monitoring data, the overall stability of the buried cavern is assessed monthly. These multiple cycles are six consecutive months starting three years after the initial monitoring began. The following is in conjunction with... Figure 6 Determining the long-term stability of deeply buried caverns:

[0143] Determine whether the failure probability is less than the first preset value and whether the dynamic comprehensive index of each cycle in multiple cycles is less than the second preset value;

[0144] If the failure probability is less than the first preset value, and there is a first period in which the dynamic comprehensive index value is not less than the second preset value among multiple periods, then the comprehensive stability of the deep buried cavern is determined to be temporarily stable.

[0145] If the failure probability is not less than the first preset value, and the dynamic comprehensive index of each cycle in multiple cycles is less than the second preset value, then the comprehensive stability of the deep-buried cavern is determined to be continuously stable.

[0146] If the failure probability is less than the first preset value, and the dynamic comprehensive index of each cycle in multiple cycles is less than the second preset value, then the comprehensive stability of the deep-buried cavern is determined to be long-term stable.

[0147] That is, if And for 6 consecutive months If it is determined to be long-term stable, If it remains stable for 6 consecutive months, it is considered temporarily stable. If it is, then it is determined to be continuously stable.

[0148] It should be noted that after determining the overall stability of the deep-buried cavern, the server can output an assessment report of the deep-buried cavern based on this overall stability.

[0149] In summary, it can be seen that the embodiments provided by this invention directly integrate measured source data (microseismic monitoring, disturbance stress, etc.), improving the realism of monitoring and assessment, and improving upon the original reliance on numerical simulation prediction data, establishing a dynamic coupling mechanism between microseismic energy and damage; through The method coefficients were quantified, a time decay factor was introduced, recent data was given higher weight, the sensitivity to short-term anomalies was enhanced, and the crack rate of borehole imaging was increased. Directly quantify the degree of internal damage to the rock mass, and increase the rate of excessive stress in the indicator anchor bolts. This reflects the failure risk of the support system and introduces the magnitude of the disturbance stress. The concept simplifies the originally complex stress components into a single parameter, providing early warning of accelerated displacement and the square term of the displacement index. Capture nonlinear acceleration (early signs of instability) and output directly. Numerical value, security level and No complex numerical simulation is required.

[0150] The embodiments of the present invention have been described above from the perspective of a comprehensive evaluation method based on the long-term stability of deeply buried caverns. The embodiments of the present invention will now be described below from the perspective of a comprehensive evaluation device based on the long-term stability of deeply buried caverns.

[0151] Please see Figure 7 , Figure 7 A virtual structural diagram of a comprehensive evaluation device for the long-term stability of deeply buried caverns in this embodiment of the invention. The comprehensive evaluation device 700 for the long-term stability of deeply buried caverns includes:

[0152] The preprocessing module 701 is used to preprocess the monitoring data set of the deep buried cavern collected in the current cycle to obtain the target monitoring data;

[0153] The first determining module 702 is used to determine the set of destructive tendency indicators corresponding to the deep-buried cavern based on the target monitoring data;

[0154] The correction module 703 is used to dynamically correct the initial weights of the destructive tendency indicators in the set of destructive tendency indicators to obtain a corrected weight set.

[0155] The second determining module 704 is used to determine the target dynamic comprehensive index value based on the modified weight set and the destructive tendency index set;

[0156] The calculation module 705 is used to calculate the failure probability of the deep-buried cavern based on the target dynamic comprehensive index value and the dynamic comprehensive index of each cycle within the total monitoring time corresponding to the deep-buried cavern if the current cycle is a preset cycle.

[0157] The third determining module 706 is used to determine the comprehensive stability of the deep-buried cavern based on the failure probability of the deep-buried cavern and the dynamic comprehensive index value of each of the multiple cycles. The multiple cycles are included in the total monitoring time and are before the current cycle. The current cycle and the first cycle are adjacent cycles, and the first cycle is the latest cycle among the multiple cycles.

[0158] In one possible design, the computing module 705 is specifically used for:

[0159] The failure probability of the deeply buried cavern is determined by the following formula:

[0160]

[0161] in, The failure probability is... The total monitoring duration is [missing information]. This is an indicator function; its value is 1 if the condition is true, and 0 otherwise. For the first The dynamic comprehensive index value for each cycle.

[0162] In one possible design, the third determining module 706 is specifically used for:

[0163] Determine whether the failure probability is less than a first preset value and determine whether the dynamic comprehensive index of each of the multiple cycles is less than a second preset value;

[0164] If the failure probability is less than the first preset value, and there is a first period in which the dynamic comprehensive index value is not less than the second preset value among the multiple periods, then the comprehensive stability of the deep-buried cavern is determined to be temporarily stable.

[0165] If the failure probability is not less than the first preset value, and the dynamic comprehensive index of each of the multiple cycles is less than the second preset value, then the comprehensive stability of the deep-buried cavern is determined to be continuously stable.

[0166] If the failure probability is less than the first preset value, and the dynamic comprehensive index of each of the multiple cycles is less than the second preset value, then the comprehensive stability of the deep-buried cavern is determined to be long-term stable.

[0167] In one possible design, the second determining module 704 is specifically used for:

[0168] The target dynamic comprehensive index value is determined using the following formula:

[0169]

[0170] in, The target dynamic comprehensive index value, The modified weights corresponding to each indicator in the set of destructive tendency indicators The intensity of microseismic energy release. For stress disturbance degree, The anchor bolt stress exceedance rate. It is a relatively critical acceleration trend. The percentage of the crack area. This represents the maximum strain variability.

[0171] In one possible design, the first determining module 702 is specifically used for:

[0172] The intensity of the microseismic energy release is determined using the following formula:

[0173]

[0174] Where E is the energy released during the current cycle. The extreme value of the monitoring data in the target period set is the set of periods before the second period within the total monitoring time, and the second period is the earliest period among the multiple periods;

[0175] The stress disturbance degree is determined by the following formula:

[0176]

[0177] in, For stress tensor and The principal stress difference;

[0178] The anchor bolt stress over-limit rate is determined by the following formula:

[0179]

[0180] in, The magnitude of the stress monitored during the current period. For yield stress, To allow for safe stress;

[0181] The acceleration trend of the relative critical displacement is determined by the following formula:

[0182]

[0183] in, This is the initial displacement. Let T be the displacement at time T. To allow for safe displacement;

[0184] The proportion of the crack area is determined by the following formula:

[0185]

[0186] in, The area of ​​the current crack. This represents the total area of ​​the drilling camera holes;

[0187] The maximum strain variability is determined by the following formula:

[0188]

[0189] in, The maximum strain that occurs during surface deformation. The minimum strain that causes surface deformation. To allow for safe responses.

[0190] In one possible design, the correction module 703 is specifically used for:

[0191] The initial weight corresponding to the intensity of the microseismic energy release is dynamically corrected using the following formula:

[0192]

[0193] in, The initial weight corresponding to the corrected intensity of the microseismic energy release. As a microseismic energy-damage synergistic factor, ;

[0194] The initial weight of each destructive tendency indicator is dynamically adjusted using the following formula:

[0195]

[0196] in, The weight of each destructive tendency indicator in the t-th monitoring period after correction. To control the decay rate of historical data weights, It is an exponentially decaying function. To monitor the total duration, For each monitoring period.

[0197] In one possible design, the preprocessing module 701 is specifically used for:

[0198] The construction disturbance data in the monitoring data set is removed to obtain the removed data set;

[0199] Temperature stress compensation is performed on the discarded data set to obtain a compensated data set;

[0200] The compensation data set is normalized to obtain the target monitoring data.

[0201] In one possible design, the third determining module 706 is further configured to:

[0202] The safety level of the deep-buried cavern in the current period is determined based on the target dynamic comprehensive index value.

[0203] An assessment report of the deep-buried cavern is output based on the comprehensive stability of the cavern.

[0204] above Figure 7 The comprehensive evaluation device for the long-term stability of deeply buried caverns in this invention has been described from the perspective of modular functional entities. The following section provides a detailed description of the comprehensive evaluation device for the long-term stability of deeply buried caverns in this invention from the perspective of hardware processing. Please refer to [link / reference]. Figure 8 A schematic diagram of an embodiment of the comprehensive evaluation device 800 based on the long-term stability of deeply buried caverns in this invention is shown. The comprehensive evaluation device 800 based on the long-term stability of deeply buried caverns includes:

[0205] Input device 801, output device 802, processor 803, and memory 804 (where the number of processors 803 can be one or more). Figure 4 (Taking a processor 803 as an example). In some embodiments of the present invention, the input device 801, the output device 802, the processor 803, and the memory 804 may be connected via a communication bus or other means, wherein... Figure 5 Take the China-Israel communication bus connection as an example.

[0206] Specifically, by calling the operation instructions stored in memory 804, processor 803 performs the following steps:

[0207] The monitoring data set of deeply buried caverns collected in the current period is preprocessed to obtain the target monitoring data;

[0208] The set of destructive tendency indicators corresponding to the deep-buried cavern is determined based on the target monitoring data;

[0209] The initial weights of the destructive tendency indicators in the set of destructive tendency indicators are dynamically adjusted to obtain a set of adjusted weights.

[0210] The target dynamic comprehensive index value is determined based on the modified weight set and the destructive tendency index set;

[0211] If the current period is a preset period, the failure probability of the deep-buried cavern is calculated based on the target dynamic comprehensive index value and the dynamic comprehensive index of each period within the total monitoring time corresponding to the deep-buried cavern.

[0212] The overall stability of the deep-buried cavern is determined based on the failure probability of the deep-buried cavern and the dynamic comprehensive index value of each of the multiple cycles. The multiple cycles are included in the total monitoring time and are before the current cycle. The current cycle and the first cycle are adjacent cycles, and the first cycle is the latest cycle among the multiple cycles.

[0213] By calling the operation instructions stored in memory 804, processor 803 is also used to execute... Figure 1 Any of the methods in the corresponding embodiments.

[0214] Please see Figure 9 , Figure 9 A schematic diagram of an embodiment of the electronic device provided in this invention.

[0215] like Figure 9 As shown, this embodiment of the invention provides an electronic device, including a memory 910, a processor 920, and a computer program 911 stored in the memory 910 and executable on the processor 920. When the processor 920 executes the computer program 911, it performs the following steps:

[0216] The monitoring data set of deeply buried caverns collected in the current period is preprocessed to obtain the target monitoring data;

[0217] The set of destructive tendency indicators corresponding to the deep-buried cavern is determined based on the target monitoring data;

[0218] The initial weights of the destructive tendency indicators in the set of destructive tendency indicators are dynamically adjusted to obtain a set of adjusted weights.

[0219] The target dynamic comprehensive index value is determined based on the modified weight set and the destructive tendency index set;

[0220] If the current period is a preset period, the failure probability of the deep-buried cavern is calculated based on the target dynamic comprehensive index value and the dynamic comprehensive index of each period within the total monitoring time corresponding to the deep-buried cavern.

[0221] The overall stability of the deep-buried cavern is determined based on the failure probability of the deep-buried cavern and the dynamic comprehensive index value of each of the multiple cycles. The multiple cycles are included in the total monitoring time and are before the current cycle. The current cycle and the first cycle are adjacent cycles, and the first cycle is the latest cycle among the multiple cycles.

[0222] In practical implementation, when the processor 920 executes the computer program 911, it can achieve... Figure 1 Any of the corresponding implementation methods in the embodiments.

[0223] Since the electronic device described in this embodiment is the device used by the computing device for implementing the mid-frequency unit excitation of an array antenna in this embodiment of the present invention, those skilled in the art can understand the specific implementation method and various variations of the electronic device in this embodiment based on the method described in this embodiment of the present invention. Therefore, how the electronic device implements the method in this embodiment of the present invention will not be described in detail here. Any device used by those skilled in the art to implement the method in this embodiment of the present invention is within the scope of protection of this invention.

[0224] Please see Figure 10 , Figure 10 This is a schematic diagram of an embodiment of a computer-readable storage medium provided in this invention.

[0225] like Figure 10 As shown, this embodiment of the invention also provides a computer-readable storage medium 1000, on which a computer program 1011 is stored. When the computer program 1011 is executed by a processor, it performs the following steps:

[0226] The monitoring data set of deeply buried caverns collected in the current period is preprocessed to obtain the target monitoring data;

[0227] The set of destructive tendency indicators corresponding to the deep-buried cavern is determined based on the target monitoring data;

[0228] The initial weights of the destructive tendency indicators in the set of destructive tendency indicators are dynamically adjusted to obtain a set of adjusted weights.

[0229] The target dynamic comprehensive index value is determined based on the modified weight set and the destructive tendency index set;

[0230] If the current period is a preset period, the failure probability of the deep-buried cavern is calculated based on the target dynamic comprehensive index value and the dynamic comprehensive index of each period within the total monitoring time corresponding to the deep-buried cavern.

[0231] The overall stability of the deep-buried cavern is determined based on the failure probability of the deep-buried cavern and the dynamic comprehensive index value of each of the multiple cycles. The multiple cycles are included in the total monitoring time and are before the current cycle. The current cycle and the first cycle are adjacent cycles, and the first cycle is the latest cycle among the multiple cycles.

[0232] In the specific implementation process, the computer program 1011 is executed by the processor to achieve... Figure 1 Any of the corresponding implementation methods in the embodiments.

[0233] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0234] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0235] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0236] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0237] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0238] This invention also provides a computer program product comprising computer software instructions that, when executed on a processing device, cause the processing device to perform actions such as... Figure 1 The process in the corresponding embodiment.

[0239] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0240] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0241] In the embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between devices or units through some interfaces, and may be electrical, mechanical, or other forms.

[0242] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0243] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0244] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0245] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A comprehensive evaluation method based on the long-term stability of deeply buried caverns, characterized in that, include: The monitoring data set of deeply buried caverns collected in the current period is preprocessed to obtain the target monitoring data; The set of destructive tendency indicators corresponding to the deep-buried cavern is determined based on the target monitoring data; The initial weights of the destructive tendency indicators in the set of destructive tendency indicators are dynamically adjusted to obtain a set of adjusted weights. The target dynamic comprehensive index value is determined based on the modified weight set and the destructive tendency index set; If the current period is a preset period, the failure probability of the deep-buried cavern is calculated based on the target dynamic comprehensive index value and the dynamic comprehensive index of each period within the total monitoring time corresponding to the deep-buried cavern. The overall stability of the deep-buried cavern is determined based on the failure probability of the deep-buried cavern and the dynamic comprehensive index value of each of the multiple cycles. The multiple cycles are included in the total monitoring time and are before the current cycle. The current cycle and the first cycle are adjacent cycles, and the first cycle is the latest cycle among the multiple cycles. The step of determining the target dynamic comprehensive index value based on the modified weight set and the destructive tendency index set includes: The target dynamic comprehensive index value is determined using the following formula: in, The target dynamic comprehensive index value, The modified weights corresponding to each indicator in the set of destructive tendency indicators The intensity of microseismic energy release. For stress disturbance degree, The anchor bolt stress exceedance rate. The relative critical displacement shows an accelerating trend. The percentage of the crack area. The maximum strain variability; The step of dynamically adjusting the initial weights of the destructive tendency indicators in the set of destructive tendency indicators to obtain a set of adjusted weights includes: The initial weight corresponding to the intensity of the microseismic energy release is dynamically corrected using the following formula: in, The initial weight corresponding to the corrected intensity of the microseismic energy release. The microseismic energy-damage synergistic factor, ; The initial weight of each destructive tendency indicator is dynamically adjusted using the following formula: in, The weight of each destructive tendency indicator in the t-th monitoring period after correction. To control the decay rate of historical data weights, It is an exponentially decaying function. To monitor the total duration, For each monitoring period.

2. The method according to claim 1, characterized in that, The calculation of the failure probability of the deep-buried cavern based on the target dynamic comprehensive index value and the dynamic comprehensive index of each cycle within the total monitoring time corresponding to the deep-buried cavern includes: The failure probability of the deeply buried cavern is determined by the following formula: in, The failure probability is... The total monitoring duration is [missing information]. This is an indicator function; its value is 1 if the condition is true, and 0 otherwise. For the first The dynamic comprehensive index value for each cycle.

3. The method according to claim 1, characterized in that, The determination of the overall stability of the deep-buried cavern based on its failure probability and the dynamic comprehensive index value of each period in multiple cycles includes: Determine whether the failure probability is less than a first preset value and determine whether the dynamic comprehensive index of each of the multiple cycles is less than a second preset value; If the failure probability is less than the first preset value, and there is a first period in which the dynamic comprehensive index value is not less than the second preset value among the multiple periods, then the comprehensive stability of the deep-buried cavern is determined to be temporarily stable. If the failure probability is not less than the first preset value, and the dynamic comprehensive index of each of the multiple cycles is less than the second preset value, then the comprehensive stability of the deep-buried cavern is determined to be continuously stable. If the failure probability is less than the first preset value, and the dynamic comprehensive index of each of the multiple cycles is less than the second preset value, then the comprehensive stability of the deep-buried cavern is determined to be long-term stable.

4. The method according to claim 1, characterized in that, The set of destructive tendency indicators corresponding to the deep-buried cavern, determined based on the target monitoring data, includes: The intensity of the microseismic energy release is determined using the following formula: Where E is the energy released during the current cycle. The extreme value of the monitoring data in the target period set is the set of periods before the second period within the total monitoring time, and the second period is the earliest period among the multiple periods; The stress disturbance degree is determined by the following formula: in, For stress tensor and The principal stress difference; The anchor bolt stress over-limit rate is determined by the following formula: in, The magnitude of the stress monitored during the current period. For yield stress, To allow for safe stress; The acceleration trend of the relative critical displacement is determined by the following formula: in, This is the initial displacement. Let T be the displacement at time T. To allow for safe displacement; The proportion of the crack area is determined by the following formula: in, The area of ​​the current crack. This represents the total area of ​​the drilling camera holes. The maximum strain variability is determined by the following formula: in, The maximum strain that occurs during surface deformation. The minimum strain that causes surface deformation. To allow for safe contingencies.

5. The method according to claim 1, characterized in that, The preprocessing of the monitoring data set collected from the deep-buried caverns in the current period yields the target monitoring data, including: The construction disturbance data in the monitoring data set is removed to obtain the removed data set; Temperature stress compensation is performed on the discarded data set to obtain a compensated data set; The compensation data set is normalized to obtain the target monitoring data.

6. The method according to claim 1, characterized in that, The method further includes: The safety level of the deep-buried cavern in the current period is determined based on the target dynamic comprehensive index value. An assessment report of the deep-buried cavern is output based on the comprehensive stability of the cavern.

7. A comprehensive evaluation device for the long-term stability of deeply buried caverns, characterized in that, include: The preprocessing module is used to preprocess the monitoring data set of the deep buried caverns collected in the current cycle to obtain the target monitoring data; The first determining module is used to determine the set of destructive tendency indicators corresponding to the deep-buried cavern based on the target monitoring data; The correction module is used to dynamically correct the initial weights of the destructive tendency indicators in the set of destructive tendency indicators to obtain a corrected weight set. The second determining module is used to determine the target dynamic comprehensive index value based on the modified weight set and the destructive tendency index set; The calculation module is used to calculate the failure probability of the deep-buried cavern based on the target dynamic comprehensive index value and the dynamic comprehensive index of each cycle within the total monitoring time corresponding to the deep-buried cavern if the current cycle is a preset cycle. The third determining module is used to determine the comprehensive stability of the deep-buried cavern based on the failure probability of the deep-buried cavern and the dynamic comprehensive index value of each of the multiple cycles. The multiple cycles are included in the total monitoring time and are before the current cycle. The current cycle and the first cycle are adjacent cycles, and the first cycle is the latest cycle among the multiple cycles. The second determining module is specifically used for: The target dynamic comprehensive index value is determined using the following formula: in, The target dynamic comprehensive index value, The modified weights corresponding to each indicator in the set of destructive tendency indicators The intensity of microseismic energy release. For stress disturbance degree, The anchor bolt stress exceedance rate. It is a relatively critical acceleration trend. The percentage of the crack area. The maximum strain variability; The correction module is specifically used for: The initial weight corresponding to the intensity of the microseismic energy release is dynamically corrected using the following formula: in, The initial weight corresponding to the corrected intensity of the microseismic energy release. The microseismic energy-damage synergistic factor, ; The initial weight of each destructive tendency indicator is dynamically adjusted using the following formula: in, The weight of each destructive tendency indicator in the t-th monitoring period after correction. To control the decay rate of historical data weights, It is an exponentially decaying function. To monitor the total duration, For each monitoring period.

8. An electronic device, characterized in that, include: A memory and a processor, wherein the processor is used to execute a computer management program stored in the memory to implement the steps of the comprehensive evaluation method based on the long-term stability of deeply buried caverns as described in any one of claims 1 to 6.

Images