Coal seam impact tendency comprehensive evaluation method and device and electronic equipment
By using the CRITIC method and the theory of uncertain measures, the problems of subjectivity and identification criteria in the evaluation of coal seam shock tendency were solved, realizing a scientific and accurate determination of coal seam shock tendency level and improving the objectivity and reliability of the evaluation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CCTEG CHINA COAL RES INST
- Filing Date
- 2025-12-10
- Publication Date
- 2026-04-28
AI Technical Summary
Existing technologies for evaluating coal seam shock tendency suffer from problems such as strong subjectivity, unreasonable weight allocation, easy failure of identification criteria, and uncertain results, which affect the objectivity and reliability of the evaluation.
The CRITIC method is used to calculate objective weights. Combining the theory of uncertain measures and the confidence level identification criterion, the system constructs an uncertain measure space, automatically calculates the weights of indicators, and makes rigorous grade determinations to eliminate expert experience bias and ensure the scientificity and accuracy of the evaluation results.
This has improved the objectivity and reliability of coal seam shock tendency assessment, eliminated misjudgments and uncertain results, and enhanced the practicality and decision support capabilities of the assessment.
Smart Images
Figure CN121936711A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of coal mine safety engineering technology, and in particular to a comprehensive evaluation method, device, electronic equipment and computer-readable storage medium for coal seam impact tendency. Background Technology
[0002] Rockbursts are a common and significant dynamic disaster in deep coal mining, and their occurrence is closely related to the rockburst tendency of the coal seam itself. Scientifically and accurately assessing the rockburst tendency level of the coal seam (e.g., none, weak, strong) is a crucial prerequisite for rockburst prediction and effective prevention.
[0003] Currently, both domestically and internationally, multiple indicators are commonly used to comprehensively evaluate the coal seam impact tendency. Commonly used indicators include dynamic failure time, elastic energy index, impact energy index, and uniaxial compressive strength. However, this method has the following significant shortcomings in practical applications: High subjectivity: The weights of each indicator in fuzzy comprehensive evaluation usually rely on expert experience, failing to fully utilize the objective information of the sample data itself, easily leading to unreasonable weight allocation and affecting the objectivity and reliability of the evaluation results. Limitations in identification criteria: This method uses the maximum membership degree principle for category determination. When the membership degree distribution is relatively flat or similar, misjudgment or ineffective identification can easily occur, reducing the accuracy and stability of the evaluation. Uncertain results exist: The fuzzy comprehensive evaluation method has several indicator combinations that cannot be clearly classified, such as the eight undetermined combinations mentioned in the standard. This brings inconvenience and decision-making difficulties to practical engineering applications.
[0004] Therefore, developing a comprehensive evaluation method that can overcome the shortcomings of existing methods, such as strong subjectivity, easy failure of identification criteria, and the existence of uncertain results, is of great significance for improving the accuracy and practicality of coal mine rockburst risk assessment. Summary of the Invention
[0005] This application aims to at least partially address one of the technical problems in the related art.
[0006] Therefore, the first objective of this application is to propose a comprehensive evaluation method for coal seam impact tendency, in order to solve the problems that the weights of each indicator in the existing fuzzy comprehensive evaluation methods usually rely on expert experience to determine, which fails to make full use of the objective information of the sample data itself, and is prone to unreasonable weight allocation, affecting the objectivity and reliability of the evaluation results.
[0007] The second objective of this application is to provide an apparatus.
[0008] The third objective of this application is to propose an electronic device.
[0009] The fourth objective of this application is to provide a computer-readable storage medium.
[0010] To achieve the above objectives, the first aspect of this application proposes a comprehensive evaluation method for coal seam shock tendency, comprising: Collect the original parameters of the impact tendency evaluation index of the target coal seam sample and construct the initial index data matrix; The initial index data matrix is standardized to obtain a standardized evaluation matrix; Based on the CRITIC method, the evaluation indicators of the standardized evaluation matrix are calculated, and the objective weight vector of the evaluation indicators is obtained. Based on the coal seam impact tendency classification standard, a single-index unknown measurement function is established for each evaluation index corresponding to different impact tendency levels. Substitute the original parameters of the target coal seam sample impact tendency evaluation index into the single index known measurement function to calculate the single index unknown measure matrix for each sample. The objective weight vector and the single-index unknown measurement matrix are weighted to obtain a multi-index comprehensive unknown measurement vector. The multi-index integrated unknown measure vector is analyzed using pre-set confidence and confidence level identification criteria to obtain the final impact tendency level of the target coal seam.
[0011] Preferably, the target coal seam sample impact tendency evaluation indicators include: dynamic failure time, elastic energy index, impact energy index, and uniaxial compressive strength.
[0012] Preferably, the standardization process of the initial indicator data matrix to obtain the standardized evaluation matrix includes: The initial index data matrix is standardized using the normalization method, vector normalization method, and range transformation method to eliminate the influence of different dimensions and data levels of each evaluation index.
[0013] Preferably, the step of calculating the evaluation indicators of the standardized evaluation matrix based on the CRITIC method and obtaining the objective weight vector of the evaluation indicators includes: Calculate the coefficient of variation and conflict coefficient of the evaluation indicators; The comprehensive information content coefficient of the index is calculated based on the coefficient of variation and the coefficient of conflict. The comprehensive information coefficients are normalized to obtain the objective weights of the indicators.
[0014] Preferably, the impact tendency level includes: no impact tendency, weak impact tendency, and strong impact tendency; the single-index unknown measurement function is a linear or nonlinear piecewise function.
[0015] Preferably, the objective weight vector calculation formula for the evaluation index is:
[0016] in, For the comprehensive information content coefficient, As an indicator.
[0017] Preferably, the step of analyzing the multi-index integrated unknown measure vector using pre-set confidence and confidence level identification criteria to obtain the final impact tendency level of the target coal seam includes: A reliability threshold is pre-set based on the evaluation reliability and classification accuracy of historical samples; For the target coal seam sample, based on the multi-indicator comprehensive unknown measure vector, the unknown measure values are accumulated sequentially according to the impact tendency level. Based on the preset confidence threshold and the confidence identification criterion, the multi-indicator comprehensive unknown measure vector is analyzed to obtain the final impact tendency level of the target coal seam.
[0018] To achieve the above objectives, a second aspect of this application provides a comprehensive evaluation device for coal seam impact tendency, comprising: The data acquisition module collects the raw parameters of the impact tendency evaluation index of the target coal seam sample and constructs the initial index data matrix; The standardization processing module performs standardization processing on the initial indicator data matrix to obtain a standardized evaluation matrix. The vector calculation module, based on the CRITIC method, calculates the evaluation indicators of the standardized evaluation matrix and obtains the objective weight vector of the evaluation indicators. The function construction module establishes unknown single-index measurement functions for each evaluation index corresponding to different impact tendency levels, based on the coal seam impact tendency classification standard. The matrix calculation module substitutes the original parameters of the target coal seam sample impact tendency evaluation index into the single index known measurement function to calculate the single index unknown measure matrix for each sample. The weighting module performs a weighting operation on the objective weight vector and the single-index unknown measurement matrix to obtain a multi-index comprehensive unknown measurement vector; The evaluation module uses pre-set confidence and confidence level identification criteria to analyze the multi-indicator comprehensive unknown measure vector to obtain the final impact tendency level of the target coal seam.
[0019] To achieve the above objectives, a third aspect of this application provides an electronic device, including: a processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method described in any of the preceding descriptions.
[0020] To achieve the above objectives, a fourth aspect of this application provides a computer-readable storage medium, which includes computer-executable instructions stored therein, which, when executed by a processor, are used to implement the method described in any of the above-mentioned embodiments.
[0021] This application provides a comprehensive evaluation method for coal seam impact tendency, employing the CRITIC objective weighting method. It automatically calculates index weights based entirely on the information inherent in the sample data, completely avoiding the subjective bias caused by expert experience scoring in traditional fuzzy comprehensive evaluation methods. This makes weight allocation more scientific and reasonable, and the evaluation process and results are no longer affected by individual experience differences, significantly improving the objectivity and repeatability of the entire evaluation system. By introducing the theory of uncertain measures and combining it with confidence identification criteria, it can more precisely characterize the complex uncertain relationship between index values and evaluation levels, outperforming traditional membership functions. Furthermore, the confidence criterion, by setting an adjustable confidence threshold, rigorously identifies ordered evaluation levels, effectively overcoming the misjudgment and failure problems easily caused by the traditional "maximum membership principle" when the membership distribution is flat or multi-peaked. This combination makes the grading logic more rigorous, and substantially improves the accuracy and reliability of the evaluation results. By constructing a complete unknown measure space and applying strict confidence identification criteria, it can give a clear and unique impact tendency grade for any possible combination of indicator data, realize the completeness of the evaluation results, eliminate the "uncertainty" blind spot in the existing standard methods, and greatly enhance the practicality and decision support capabilities of the method.
[0022] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description
[0023] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 A flowchart illustrating a first specific embodiment of a comprehensive evaluation method for coal seam impact tendency provided by the present invention; Figure 2 A flowchart illustrating a second specific embodiment of the comprehensive evaluation method for coal seam impact tendency provided by the present invention; Figure 3 A graph of a single-index unknown measure function for dynamic destruction time; Figure 4 A graph of a single-index, unknown measure function for the elastic energy index; Figure 5 A graph of an unknown measure function for a single index of the impact energy index; Figure 6 A graph of a single-index, unknown measure function for uniaxial compressive strength; Figure 7 This is a structural block diagram of a coal seam impact tendency comprehensive evaluation device provided in an embodiment of the present invention. Detailed Implementation
[0024] The core of this invention is to provide a comprehensive evaluation method, device, electronic device and computer-readable storage medium for coal seam shock tendency. By constructing a complete unknown measurement space and applying strict confidence level identification criteria, it can give a clear and unique shock tendency level for any possible combination of index data, thus achieving the completeness of the evaluation results.
[0025] To enable those skilled in the art to better understand the present invention, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely 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.
[0026] Please refer to Figure 1 , Figure 1 The flowchart illustrates a first specific embodiment of the comprehensive evaluation method for coal seam impact tendency provided by the present invention; the specific operation steps are as follows: Step S101: Collect the original parameters of the impact tendency evaluation index of the target coal seam sample and construct the initial index data matrix; Step S102: Standardize the initial index data matrix to obtain a standardized evaluation matrix; Step S103: Based on the CRITIC method, calculate the evaluation index of the standardized evaluation matrix and obtain the objective weight vector of the evaluation index; Step S104: Based on the coal seam impact tendency classification standard, establish a single-index unknown measurement function for each evaluation index corresponding to different impact tendency levels; Step S105: Substitute the original parameters of the target coal seam sample impact tendency evaluation index into the single index known measurement function to calculate the single index unknown measure matrix for each sample. Step S106: Perform a weighted operation on the objective weight vector and the single-index unknown measurement matrix to obtain a multi-index comprehensive unknown measurement vector; Step S107: Analyze the multi-index integrated unknown measure vector using pre-set confidence and confidence level identification criteria to obtain the final impact tendency level of the target coal seam.
[0027] Based on the above embodiments, this embodiment will provide a detailed description of step S101: In one embodiment, the impact tendency evaluation indicators for target coal seam samples include: dynamic failure time, elastic energy index, impact energy index, and uniaxial compressive strength.
[0028] Specifically, raw data of n impact tendency evaluation indicators from m samples of the target coal seam are collected to construct an m×n dimensional initial indicator data matrix X; the evaluation indicators include dynamic failure time (DT), elastic energy index (WET), impact energy index (KE), and uniaxial compressive strength (Rc).
[0029] Based on the above embodiments, this embodiment will provide a detailed description of step S102: In one embodiment, the initial index data matrix is standardized using the normalization method, vector normalization method, and range transformation method to eliminate the influence of different dimensions and data levels of each evaluation index.
[0030] Specifically, the initial index data matrix X is dimensionless by using the summation normalization method to obtain the standardized evaluation matrix X'.
[0031] Based on the above embodiments, this embodiment will provide a detailed description of step S103: In one embodiment, the coefficient of variation and conflict coefficient of the evaluation index are calculated; The comprehensive information content coefficient of the index is calculated based on the coefficient of variation and the coefficient of conflict. The comprehensive information coefficients are normalized to obtain the objective weights of the indicators.
[0032] Specifically, based on the standardized evaluation matrix X', the coefficient of variation, correlation coefficient, conflict coefficient, and comprehensive information content of each indicator are calculated sequentially, and finally the objective weight vector W of each indicator is calculated. The specific formula for calculating the objective weight of each indicator is as follows: Coefficient of variation:
[0033] in, For the first The average of the indicators, For the first The standard deviation of each indicator For the first The coefficient of variation of each indicator; Correlation coefficient:
[0034] in, For the first , Correlation coefficients among the indicators; Conflict factor:
[0035] Comprehensive information content coefficient:
[0036] The formula for calculating the objective weight vector of the evaluation indicators is:
[0037] in, For the comprehensive information content coefficient, As an indicator.
[0038] Based on the above embodiments, this embodiment will provide a detailed description of step S104: In one embodiment, the impact tendency level includes: no impact tendency, weak impact tendency, and strong impact tendency; the single-index unknown measurement function is a linear or nonlinear piecewise function.
[0039] Specifically, based on the coal seam impact tendency classification standard, a single-index unknown measure function is established for each evaluation index corresponding to different impact tendency levels (no impact tendency C1, weak impact tendency C2, and strong impact tendency C3).
[0040] Based on the above embodiments, this embodiment will provide a detailed description of step S105: In one embodiment, the sample values of each evaluation index of the target coal seam are substituted into its corresponding single-index unknown measure function to calculate the single-index unknown measure matrix U for each sample.
[0041] Based on the above embodiments, this embodiment provides a detailed description of step S106: In one embodiment, the objective weight vector W is weighted and synthesized with the single-index unknown measure matrix U to obtain the multi-index unknown measure vector μ that characterizes the overall impact tendency of the target coal seam.
[0042] Based on the above embodiments, this embodiment will provide a detailed description of step S107: In one embodiment, a reliability threshold is preset based on the evaluation reliability and the classification accuracy of historical samples; for the target coal seam sample, the unknown measure values are accumulated sequentially according to the impact tendency level based on the multi-indicator comprehensive unknown measure vector, and the multi-indicator comprehensive unknown measure vector is analyzed based on the preset reliability threshold and the confidence identification criterion to obtain the final impact tendency level of the target coal seam.
[0043] Specifically, a confidence level λ (usually 0.6 or 0.7) is set, and the confidence level identification criterion is used to analyze the unknown measure vector μ of multiple indicators to determine the final impact tendency level of the target coal seam.
[0044] This embodiment provides a comprehensive evaluation method for coal seam impact tendency. It employs the CRITIC objective weighting method, automatically calculating index weights based entirely on the information inherent in the sample data itself, completely avoiding the subjective bias caused by expert experience scoring in traditional fuzzy comprehensive evaluation methods. This makes weight allocation more scientific and reasonable, and the evaluation process and results are no longer affected by individual experience differences, significantly improving the objectivity and repeatability of the entire evaluation system. By introducing the theory of uncertain measures and combining it with confidence level identification criteria, it can more precisely characterize the complex uncertain relationship between index values and evaluation levels, outperforming traditional membership functions. Furthermore, the confidence level criterion, by setting an adjustable confidence threshold, rigorously identifies ordered evaluation levels, effectively overcoming the misjudgment and failure problems easily caused by the traditional "maximum membership principle" when the membership distribution is flat or multi-peaked. This combination makes the grading logic more rigorous, and substantially improves the accuracy and reliability of the evaluation results. By constructing a complete unknown measure space and applying strict confidence identification criteria, it can give a clear and unique impact tendency grade for any possible combination of indicator data, realize the completeness of the evaluation results, eliminate the "uncertainty" blind spot in the existing standard methods, and greatly enhance the practicality and decision support capabilities of the method.
[0045] Based on the above embodiments, this embodiment describes a comprehensive evaluation method for coal seam shock tendency, as follows: Figure 2 As shown, the details are as follows: This embodiment takes several coal seam samples to be evaluated in a certain mining area as an example, and selects dynamic failure time (DT), elastic energy index (WET), impact energy index (KE) and uniaxial compressive strength (Rc) as key evaluation indicators to specifically explain the implementation steps of the present invention.
[0046] Data Acquisition and Matrix Construction: Raw data of various indicators for several coal seam samples were obtained through laboratory testing and field data collection, and an initial indicator data matrix X was constructed. The rows of this matrix correspond to the samples, and the columns correspond to the evaluation indicators.
[0047] Data standardization: Due to the different dimensions and orders of magnitude of the various indicators, a summation-normalization method is used to standardize the initial matrix X to eliminate their influence, resulting in a standardized evaluation matrix X'. This method converts the values of each indicator into dimensionless relative values, ensuring the comparability of subsequent calculations.
[0048] Objective weight calculation based on the CRITIC method: Based on the standardized matrix X', the CRITIC algorithm is executed to determine the objective weights of each indicator: the coefficient of variation of each indicator is calculated to reflect the degree of difference within the data; the correlation coefficient between indicators is calculated, and then the conflict coefficient is obtained to reflect the degree of information overlap between indicators; the coefficient of variation and the conflict coefficient are multiplied to obtain the comprehensive information content of each indicator; the comprehensive information content is normalized to finally obtain the objective weight vector W of each indicator. This process is entirely data-driven and involves no subjective human intervention.
[0049] Constructing Uncertainty Measurement Functions: Based on the national standard for classifying coal seam impact tendency, single-index uncertainty measurement functions are constructed for each evaluation index, corresponding to the three levels of "no impact tendency (C1)," "weak impact tendency (C2)," and "strong impact tendency (C3)." These functions are typically designed in piecewise linear or nonlinear form to ensure that the mathematical axioms of uncertainty measurement (nonnegativity, normality, and additivity) are satisfied. like Figure 3 , Figure 4 , Figure 5 , Figure 6 As shown, the four graphs of unknown measure functions for single indicators are graphical representations of the unknown measure functions for dynamic failure time (DT), elastic energy index (WET), impact energy index (KE), and uniaxial compressive strength (Rc). These graphs are typically used to visually demonstrate the distribution of the "unknown measure value," or degree of membership, of each indicator at different values belonging to various impact propensity levels (C1: none, C2: weak, C3: strong). by Figure 3 Taking (dynamic destruction time DT) as an example, its function form can be deduced as follows: C1 (no-impact tendency) curve: When the DT value is greater than or equal to a certain higher threshold (e.g., ≥500 ms), its C1 metric value is 1 (completely belonging). As DT decreases, this metric value decreases linearly, becoming 0 when it drops to another threshold (e.g., 300 ms).
[0050] C3 (Strong Impact Proneness) Curve: The trend is opposite to that of the C1 curve. When the DT value is less than or equal to a certain lower threshold (e.g., ≤300 ms), its C3 measure value is 1. As DT increases, this value decreases linearly to 0.
[0051] C2 (weak impact tendency) curve: It presents a "peak" or "triangle" shape. Within the intermediate transition range of DT (e.g., 300-500 ms), the C2 measure rises from 0 to its maximum value and then falls back to 0. Outside this range, it is 0.
[0052] The graphical structures of the other three indicators (WET, KE, Rc) are similar. These graphs are central to building models of uncertainties, enabling quantitative indicators to be mapped as "measures of uncertainty" to qualitative levels.
[0053] Calculate the undetermined measure matrix for each single index: Substitute the measured values of each index for each coal seam sample into its corresponding undetermined measure function to calculate the measure value of the index value belonging to each shock tendency level. For each sample, organize the measurement results of all its indices into a single-index undetermined measure matrix U, where the rows of the matrix correspond to the level and the columns correspond to the index.
[0054] Calculate the multi-indicator comprehensive unknown measure vector: The objective weight vector W is weighted and synthesized with the single-indicator unknown measure matrix U of each sample. The calculation formula is that the comprehensive measure equals the product of the weight vector and the measure matrix. After calculation, the multi-indicator comprehensive unknown measure vector μ of each sample is obtained. This vector represents the degree of certainty that the sample as a whole belongs to the three levels C1, C2, and C3, respectively.
[0055] Confidence Level Identification and Assessment: A preset confidence threshold λ is established (usually set within a reasonable range based on the reliability requirements of the assessment). For any sample's comprehensive measure vector μ, the measure values belonging to each level are accumulated sequentially from C1 to C3. When the accumulated measure value first reaches or exceeds the preset confidence threshold λ, the impact tendency level of the sample is determined to be the current corresponding level. This criterion ensures the clarity and uniqueness of the assessment results.
[0056] Please refer to Figure 7 , Figure 7 This invention provides a structural block diagram of a comprehensive evaluation device for coal seam impact tendency; the specific device may include: The data acquisition module 100 collects the original parameters of the impact tendency evaluation index of the target coal seam sample and constructs the initial index data matrix; The standardization processing module 200 performs standardization processing on the initial indicator data matrix to obtain a standardized evaluation matrix; The vector calculation module 300, based on the CRITIC method, calculates the evaluation indicators of the standardized evaluation matrix and obtains the objective weight vector of the evaluation indicators. Function construction module 400 establishes single-index unknown measurement functions for each evaluation index corresponding to different impact tendency levels, based on the coal seam impact tendency classification standard. The matrix calculation module 500 substitutes the original parameters of the target coal seam sample impact tendency evaluation index into the single index known measurement function to calculate the single index unknown measurement matrix for each sample. The weighting module 600 performs a weighting operation on the objective weight vector and the single-index unknown measurement matrix to obtain a multi-index comprehensive unknown measurement vector. The evaluation module 700 uses pre-set confidence and confidence level identification criteria to analyze the multi-index comprehensive unknown measure vector to obtain the final impact tendency level of the target coal seam.
[0057] This embodiment of a coal seam impact tendency comprehensive evaluation device is used to implement the aforementioned coal seam impact tendency comprehensive evaluation method. Therefore, the specific implementation of the coal seam impact tendency comprehensive evaluation device can be found in the embodiment section of the coal seam impact tendency comprehensive evaluation method above. For example, the data acquisition module 100, standardization processing module 200, vector calculation module 300, function construction module 400, matrix calculation module 500, weighting module 600, and evaluation module 700 are respectively used to implement steps S101, S102, S103, S104, S105, S106, and S107 in the aforementioned coal seam impact tendency comprehensive evaluation method. Therefore, its specific implementation can be referred to the description of the corresponding embodiments, and will not be repeated here.
[0058] To implement the above embodiments, this application also proposes an electronic device, including: a processor and a memory communicatively connected to the processor; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory to implement the method provided in the foregoing embodiments.
[0059] To implement the above embodiments, this application also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods provided in the foregoing embodiments.
[0060] To implement the above embodiments, this application also proposes a computer program product, including a computer program that, when executed by a processor, implements the methods provided in the foregoing embodiments.
[0061] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in this application all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.
[0062] It should be noted that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. Furthermore, such collection / sharing should only be conducted after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes authorization of relevant user information before the user uses the function. In addition, any necessary steps must be taken to protect and safeguard access to such personal information data and ensure that others with access to personal information data comply with their privacy policies and procedures.
[0063] This application is intended to provide an implementation scheme for users to selectively prevent the use or access to their personal information data. Specifically, this disclosure is intended to provide hardware and / or software to prevent or block access to such personal information data. Once personal information data is no longer needed, risks can be minimized by restricting data collection and deleting data. Furthermore, where applicable, such personal information is de-identified to protect user privacy.
[0064] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.
[0065] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0066] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.
[0067] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.
[0068] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
[0069] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.
[0070] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
[0071] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.
Claims
1. A comprehensive evaluation method for coal seam impact tendency, characterized in that, include: Collect the original parameters of the impact tendency evaluation index of the target coal seam sample and construct the initial index data matrix; The initial index data matrix is standardized to obtain a standardized evaluation matrix; Based on the CRITIC method, the evaluation indicators of the standardized evaluation matrix are calculated, and the objective weight vector of the evaluation indicators is obtained. Based on the coal seam impact tendency classification standard, a single-index unknown measurement function is established for each evaluation index corresponding to different impact tendency levels. Substitute the original parameters of the target coal seam sample impact tendency evaluation index into the single index known measurement function to calculate the single index unknown measure matrix for each sample. The objective weight vector and the single-index unknown measurement matrix are weighted to obtain a multi-index comprehensive unknown measurement vector. The multi-index integrated unknown measure vector is analyzed using pre-set confidence and confidence level identification criteria to obtain the final impact tendency level of the target coal seam.
2. The comprehensive evaluation method for coal seam shock tendency according to claim 1, characterized in that, The target coal seam sample impact tendency evaluation indicators include: dynamic failure time, elastic energy index, impact energy index, and uniaxial compressive strength.
3. The comprehensive evaluation method for coal seam shock tendency according to claim 1, characterized in that, The standardization process of the initial index data matrix to obtain the standardized evaluation matrix includes: The initial index data matrix is standardized using the normalization method, vector normalization method, and range transformation method to eliminate the influence of different dimensions and data levels of each evaluation index.
4. The comprehensive evaluation method for coal seam shock tendency according to claim 1, characterized in that, The step of calculating the evaluation indicators of the standardized evaluation matrix based on the CRITIC method and obtaining the objective weight vector of the evaluation indicators includes: Calculate the coefficient of variation and conflict coefficient of the evaluation indicators; The comprehensive information content coefficient of the index is calculated based on the coefficient of variation and the coefficient of conflict. The comprehensive information coefficients are normalized to obtain the objective weights of the indicators.
5. The comprehensive evaluation method for coal seam shock tendency according to claim 1, characterized in that, The impact tendency levels include: no impact tendency, weak impact tendency, and strong impact tendency; the single-index unknown measurement function is a linear or nonlinear piecewise function.
6. The comprehensive evaluation method for coal seam shock tendency according to claim 1, characterized in that, The objective weight vector calculation formula for the evaluation index is as follows: in, For the comprehensive information content coefficient, As an indicator.
7. The comprehensive evaluation method for coal seam shock tendency according to claim 1, characterized in that, The analysis of the multi-index integrated unknown measure vector using pre-set confidence and confidence identification criteria to obtain the final impact tendency level of the target coal seam includes: A reliability threshold is pre-set based on the evaluation reliability and classification accuracy of historical samples; For the target coal seam sample, based on the multi-indicator comprehensive unknown measure vector, the unknown measure values are accumulated sequentially according to the impact tendency level. Based on the preset confidence threshold and the confidence identification criterion, the multi-indicator comprehensive unknown measure vector is analyzed to obtain the final impact tendency level of the target coal seam.
8. A comprehensive evaluation device for coal seam impact tendency, characterized in that, include: The data acquisition module collects the raw parameters of the impact tendency evaluation index of the target coal seam sample and constructs the initial index data matrix; The standardization processing module performs standardization processing on the initial indicator data matrix to obtain a standardized evaluation matrix. The vector calculation module, based on the CRITIC method, calculates the evaluation indicators of the standardized evaluation matrix and obtains the objective weight vector of the evaluation indicators. The function construction module establishes unknown single-index measurement functions for each evaluation index corresponding to different impact tendency levels, based on the coal seam impact tendency classification standard. The matrix calculation module substitutes the original parameters of the target coal seam sample impact tendency evaluation index into the single index known measurement function to calculate the single index unknown measure matrix for each sample. The weighting module performs a weighting operation on the objective weight vector and the single-index unknown measurement matrix to obtain a multi-index comprehensive unknown measurement vector; The evaluation module uses pre-set confidence and confidence level identification criteria to analyze the multi-indicator comprehensive unknown measure vector to obtain the final impact tendency level of the target coal seam.
9. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-7.