Working face hydraulic support supporting quality evaluation method

Abstract

The invention provides a working face hydraulic support quality evaluation method, and relates to the technical field of quality evaluation, and the method comprises the steps: obtaining the support type of a target hydraulic support, thereby determining a quality evaluation target of the corresponding support type, and obtaining the real-time support parameter of the target hydraulic support; determining a quality evaluation method matched with the target hydraulic support based on the quality evaluation target and the support type, and performing parameter processing on the real-time support parameters based on evaluation requirements of the quality evaluation method to obtain first support parameters; performing quality evaluation on the first support parameter based on a quality evaluation method to obtain a support quality evaluation result; and corresponding evaluation parameters are determined based on the support quality evaluation result, so that a support quality optimization scheme of the target hydraulic support is obtained. The quality evaluation is performed on the real-time support parameters in combination with the quality evaluation target, so that the support optimization of the hydraulic support is performed, the working efficiency of the hydraulic support can be improved, and meanwhile, the working performance of the hydraulic support is improved.

Description

Technical Field

[0001] The invention relates to the technical field of quality evaluation, and in particular to a method for evaluating the quality of hydraulic support support on a working face. Background Art

[0002] At present, hydraulic supports are the supporting equipment for fully mechanized mining working faces. The working face is generally composed of 150-200 hydraulic supports to form a hydraulic support group, whose main function is to support the roof of the mining area and maintain a safe working space. The initial support force of the hydraulic support is the active support force provided by the hydraulic support to the roof, and the support quality of the hydraulic support group has become an important support representation.

[0003] However, the existing hydraulic support quality evaluation method has a relatively single evaluation angle, and cannot be evaluated and adjusted according to the actual environment and hydraulic support parameters, resulting in unnecessary evaluation errors.

[0004] Therefore, the present invention provides a method for evaluating the quality of hydraulic support support on a working face. Summary of the invention

[0005] The present invention provides a method for evaluating the support quality of a hydraulic support on a working face, which is used to process the real-time support parameters of the hydraulic support on the working face, and perform quality evaluation on the real-time support parameters in combination with a quality evaluation target, thereby optimizing the support of the hydraulic support based on the quality evaluation result, thereby improving the working efficiency of the hydraulic support, while improving the working performance of the hydraulic support and extending its service life.

[0006] The present invention provides a method for evaluating the quality of hydraulic support support on a working face, comprising: Step 1: Obtain the support type of the target hydraulic support, thereby determining the quality evaluation target of the corresponding support type, and simultaneously obtaining the real-time support parameters of the target hydraulic support; Step 2: Determine a quality evaluation method that matches the target hydraulic support based on the quality evaluation target and the support type, and perform parameter processing on the real-time support parameters based on the evaluation requirements of the quality evaluation method to obtain the first support parameters; Step 3: Performing quality evaluation on the first support parameters based on the quality evaluation method to obtain a support quality evaluation result; Step 4: Determine the corresponding evaluation parameters based on the support quality evaluation results, so as to obtain the support quality optimization plan for the target hydraulic support.

[0007] According to the present invention, the method for obtaining the support type of the target hydraulic support, thereby determining the quality evaluation target of the corresponding support type, and obtaining the real-time support parameters of the target hydraulic support includes: Step 11: Based on the support type of the target hydraulic support and the real-time support use environment, obtain the quality evaluation target of the target hydraulic support under the current support use environment; Step 12: Based on the preset sensor, the support parameters of the target hydraulic support are collected in real time to obtain the real-time support parameters.

[0008] According to the quality evaluation method provided by the present invention, a quality evaluation method that matches a target hydraulic support is determined based on a quality evaluation target and a support type, and a real-time support parameter is processed based on the evaluation requirements of the quality evaluation method to obtain a first support parameter, including: Step 21: Based on the support type and quality evaluation target of the target hydraulic support, a quality evaluation method that matches the target hydraulic support is selected from the quality evaluation method database; Step 22: obtaining the evaluation requirements of the quality evaluation method, thereby determining a parameter processing scheme for the real-time stent parameters; Step 23: Parameter processing is performed on the real-time support parameters based on the parameter processing scheme, and parameter conversion is performed on the relevant parameters of the real-time support parameters based on the evaluation requirements of the quality evaluation method, so as to obtain the first support parameters of the target hydraulic support in combination with the parameter processing results.

[0009] According to the parameter processing scheme provided by the present invention, the real-time support parameters are parameter processed, and the relevant parameters of the real-time support parameters are parameter converted based on the evaluation requirements of the quality evaluation method, so as to obtain the first support parameters of the target hydraulic support in combination with the parameter processing results, including: Step 231: performing parameter processing on the real-time stent parameters based on the parameter processing scheme to obtain first processing parameters; Step 232: determining a parameter value mapping range of the real-time stent parameter based on the evaluation requirements of the quality evaluation method, and performing parameter conversion on the real-time stent parameter based on the evaluation requirements to obtain a first conversion parameter; Step 233: adjusting the first conversion parameter so that the adjusted parameter value is within the parameter value mapping range, and combining the first processing parameter to obtain the first support parameter of the target hydraulic support.

[0010] According to the present invention, the first conversion parameter is adjusted so that the adjusted parameter value is within the parameter value mapping range, and the first support parameter of the target hydraulic support is obtained in combination with the first processing parameter, including: Obtaining a parameter type of each sub-parameter in the first conversion parameter, and determining a corresponding parameter value mapping range based on the parameter type to obtain a first parameter value range set; Determine whether each first conversion sub-parameter in the first conversion parameter is in a first parameter value mapping range corresponding to the first parameter value range set; If the first conversion sub-parameter is within the corresponding first parameter value mapping range, the current first conversion sub-parameter is used as the first adjustment sub-parameter; If the first conversion sub-parameter is not within the corresponding first parameter value mapping range, performing parameter value mapping adjustment on the current first conversion sub-parameter to obtain a first adjustment sub-parameter; Each first adjustment sub-parameter is integrated to obtain a first adjustment parameter, and combined with the first processing parameter to obtain a first support parameter of the target hydraulic support.

[0011] According to the quality evaluation method provided by the present invention, the quality evaluation of the first support parameter is performed to obtain a support quality evaluation result, including: Step 31: inputting the first stent parameter into the quality evaluation method, and performing parameter analysis to obtain an initial analysis result; Step 32: The initial analysis result is combined with the support type and the first support parameter of the target hydraulic support to obtain a support quality evaluation result of the target hydraulic support.

[0012] According to the present invention, the corresponding evaluation parameters are determined based on the support quality evaluation results, so as to obtain the support quality optimization scheme for the target hydraulic support, including: Step 41: comparing the support quality evaluation result with the quality evaluation target, thereby determining the support quality evaluation parameters of the target hydraulic support based on the comparison result; Step 42: determining the parameter level of the support quality evaluation parameter, and selecting an initial support quality optimization solution set corresponding to the parameter level from a level-optimization database based on the parameter level of the support quality evaluation parameter; Step 43: extracting the corresponding optimized support parameter type of each support quality optimization scheme based on each initial support quality optimization scheme in the initial support quality optimization scheme set; Step 44: matching the first stent parameter with the corresponding optimized stent parameter type of each stent quality optimization scheme, thereby obtaining the optimized stent parameter corresponding to each stent quality optimization scheme; Step 45: obtaining the parameter quantity of the optimized support parameter corresponding to each support quality optimization scheme as the first data quantity, and simultaneously obtaining the type quantity of the corresponding optimized support parameter type as the second data quantity; Step 46: Obtaining a first ratio of each support quality optimization solution based on a ratio of each first data volume to a corresponding second data volume; Step 47: Compare each first ratio in the initial support quality optimization solution set, so as to extract the initial support quality optimization solution with the largest first ratio as the initial support quality optimization solution of the target hydraulic support; Step 48: Determine whether the initial support quality optimization solution can be adapted to the target hydraulic support; If the initial support optimization scheme can be adapted to the target hydraulic support, the initial support quality optimization scheme is used as the first support quality optimization scheme; If the initial support optimization scheme cannot be adapted to the target hydraulic support, the initial support quality optimization scheme with the second largest ratio in the initial support quality optimization scheme set is used as the first auxiliary optimization scheme, and the first auxiliary optimization scheme is combined with the initial support quality optimization scheme to obtain the first support quality optimization scheme for the target hydraulic support; Step 49: Determine the support quality optimization scheme of the target hydraulic support based on the first support quality optimization scheme and the corresponding optimized support parameters.

[0013] After obtaining the support quality optimization scheme for the target hydraulic support according to the present invention, the method includes: verifying the support quality optimization scheme, specifically including: Step 51: inputting the real-time support parameters of the target hydraulic support based on the support quality optimization scheme into a preset virtual machine, thereby obtaining the second support parameters after the support quality optimization is performed; Step 52: Perform statistics based on the second stent parameter and the real-time stent parameter to obtain a stent parameter change trend; Step 53: judging the effect of the support quality optimization solution of the target support based on the support parameter change trend of each real-time support parameter; If the variation trend of each support parameter in the second support parameter is in a more optimal parameter variation trend, it is judged that the support quality optimization scheme of the target support has a good effect; If there is a parameter change trend in each support parameter change trend in the second support parameters that is not in a better parameter change trend, it is judged that the support quality optimization scheme between the targets needs to be optimized.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: a method for evaluating the support quality of a working face hydraulic support provided by the present invention processes the real-time support parameters of the working face hydraulic support, and performs quality evaluation on the real-time support parameters in combination with the quality evaluation target, thereby optimizing the support of the hydraulic support based on the quality evaluation result, thereby improving the working efficiency of the hydraulic support, while improving the working performance of the hydraulic support and extending its service life. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a flow chart of a method for evaluating the quality of hydraulic support support for a working face provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Embodiment 1: The embodiment of the present invention provides a method for evaluating the quality of hydraulic support support of a working face. Figure 1 As shown, including: Step 1: Obtain the support type of the target hydraulic support, thereby determining the quality evaluation target of the corresponding support type, and simultaneously obtaining the real-time support parameters of the target hydraulic support; Step 2: Determine a quality evaluation method that matches the target hydraulic support based on the quality evaluation target and the support type, and perform parameter processing on the real-time support parameters based on the evaluation requirements of the quality evaluation method to obtain the first support parameters; Step 3: Performing quality evaluation on the first support parameters based on the quality evaluation method to obtain a support quality evaluation result; Step 4: Determine the corresponding evaluation parameters based on the support quality evaluation results, so as to obtain the support quality optimization plan for the target hydraulic support.

[0019] In this embodiment, the target hydraulic support refers to a specific hydraulic support that needs to be evaluated and optimized for quality. The hydraulic support is a device used to support and protect spatial structures such as tunnels and working faces in underground projects such as coal mines.

[0020] In this embodiment, the support type refers to the hydraulic support that can be divided into multiple types according to purpose, structure, working characteristics, etc., such as shielding support, supporting shielding support, four-column supporting support, etc. Different types of supports may have different standards and requirements in quality evaluation.

[0021] In this embodiment, the quality evaluation target refers to the target or standard to be achieved when evaluating the quality of the target hydraulic support, and generally includes key indicators such as support strength, stability, and durability.

[0022] In this embodiment, the real-time support parameters refer to the parameters recorded in real time during the operation of the hydraulic support, such as working resistance, column pressure, support height, tilt angle, etc.

[0023] In this embodiment, the quality evaluation method refers to a specific method or process for evaluating the quality of a hydraulic support, which generally includes steps such as data collection, data analysis, and quality assessment. Different quality evaluation methods may be based on different theories, standards, and requirements.

[0024] In this embodiment, the first stent parameter refers to the stent parameter after parameter processing so as to meet the evaluation requirements of the quality evaluation method, wherein the parameter processing may include data cleaning, data conversion, data normalization, etc.

[0025] In this embodiment, the support quality evaluation result refers to the result obtained after quality evaluation of the hydraulic support is performed based on the quality evaluation method and the first support parameter.

[0026] In this embodiment, the evaluation parameters refer to key factors or indicators that affect the support quality, which are usually determined based on the support quality evaluation results. The evaluation parameters may include working resistance, support strength, stability, etc.

[0027] In this embodiment, the support quality optimization plan refers to an optimization plan for the target hydraulic support formulated based on the support quality evaluation results and evaluation parameters, aiming to improve the support quality and performance of the support. The optimization plan may include measures such as adjusting support parameters, improving support design, and optimizing construction technology.

[0028] The beneficial effect of the above technical solution is: by processing the real-time support parameters of the working face hydraulic support and conducting quality evaluation on the real-time support parameters in combination with the quality evaluation objectives, the support optimization of the hydraulic support is performed based on the quality evaluation results, which can improve the working efficiency of the hydraulic support, while improving the working performance of the hydraulic support and extending its service life.

[0029] Embodiment 2: Based on Example 1, the support type of the target hydraulic support is obtained, so as to determine the quality evaluation target of the corresponding support type, and at the same time, the real-time support parameters of the target hydraulic support are obtained, including: Step 11: Based on the support type of the target hydraulic support and the real-time support use environment, obtain the quality evaluation target of the target hydraulic support under the current support use environment; Step 12: Based on the preset sensor, the support parameters of the target hydraulic support are collected in real time to obtain the real-time support parameters.

[0030] In this embodiment, the target hydraulic support refers to a specific hydraulic support that needs to be evaluated and optimized for quality. The hydraulic support is a device used to support and protect spatial structures such as tunnels and working faces in underground projects such as coal mines.

[0031] In this embodiment, the support type refers to the hydraulic support that can be divided into multiple types according to purpose, structure, working characteristics, etc., such as shielding support, supporting shielding support, four-column supporting support, etc. Different types of supports may have different standards and requirements in quality evaluation.

[0032] In this embodiment, the quality evaluation target refers to the target or standard to be achieved when evaluating the quality of the target hydraulic support, and generally includes key indicators such as support strength, stability, and durability.

[0033] In this embodiment, the real-time support parameters refer to the parameters recorded in real time during the operation of the hydraulic support, such as working resistance, column pressure, support height, tilt angle, etc.

[0034] The beneficial effect of the above technical solution is: by determining the quality evaluation target in combination with the support type, the quality evaluation of the real-time support parameters can be performed, which can improve the working efficiency of the hydraulic support, while improving the working performance of the hydraulic support and extending its service life.

[0035] Embodiment 3: Based on Example 2, a quality evaluation method that matches the target hydraulic support is determined based on the quality evaluation target and the support type, and the real-time support parameters are processed based on the evaluation requirements of the quality evaluation method to obtain the first support parameters, including: Step 21: Based on the support type and quality evaluation target of the target hydraulic support, a quality evaluation method that matches the target hydraulic support is selected from the quality evaluation method database; Step 22: obtaining the evaluation requirements of the quality evaluation method, thereby determining a parameter processing scheme for the real-time stent parameters; Step 23: Parameter processing is performed on the real-time support parameters based on the parameter processing scheme, and parameter conversion is performed on the relevant parameters of the real-time support parameters based on the evaluation requirements of the quality evaluation method, so as to obtain the first support parameters of the target hydraulic support in combination with the parameter processing results.

[0036] In this embodiment, the quality evaluation method database is a database storing a plurality of quality evaluation methods, each method targeting a specific stent type and quality evaluation target.

[0037] In this embodiment, the quality evaluation method refers to a specific method or process for evaluating the quality of a hydraulic support, which generally includes steps such as data collection, data analysis, and quality assessment. Different quality evaluation methods may be based on different theories, standards, and requirements.

[0038] In this embodiment, the parameter processing scheme refers to a processing scheme such as parameter cleaning and parameter standardization processing for the real-time stent parameters according to the evaluation requirements of the quality evaluation method.

[0039] In this embodiment, parameter processing refers to performing parameter processing on real-time stent parameters based on a parameter processing scheme.

[0040] In this embodiment, parameter conversion refers to comprehensively calculating relevant parameters of the real-time stent parameters based on the evaluation requirements of the quality evaluation method, so as to obtain the parameters required by the current quality evaluation method.

[0041] In this embodiment, the first stent parameter refers to the stent parameter after parameter processing so as to meet the evaluation requirements of the quality evaluation method, wherein the parameter processing may include data cleaning, data conversion, data normalization, etc.

[0042] The beneficial effect of the above technical solution is: by processing the real-time support parameters of the working face hydraulic support, quality evaluation is performed in combination with the quality evaluation target, so that the quality evaluation of the hydraulic support can be made more accurate based on the quality, thereby improving the working efficiency of the hydraulic support.

[0043] Embodiment 4: Based on Example 3, the first support parameter of the target hydraulic support is obtained in combination with the parameter processing result, including: Step 231: performing parameter processing on the real-time stent parameters based on the parameter processing scheme to obtain first processing parameters; Step 232: determining a parameter value mapping range of the real-time stent parameter based on the evaluation requirements of the quality evaluation method, and performing parameter conversion on the real-time stent parameter based on the evaluation requirements to obtain a first conversion parameter; Step 233: adjusting the first conversion parameter so that the adjusted parameter value is within the parameter value mapping range, and combining the first processing parameter to obtain the first support parameter of the target hydraulic support.

[0044] In this embodiment, the quality evaluation method refers to a specific method or process for evaluating the quality of a hydraulic support, which generally includes steps such as data collection, data analysis, and quality assessment. Different quality evaluation methods may be based on different theories, standards, and requirements.

[0045] In this embodiment, the first processing parameter is a parameter set obtained after the real-time stent parameters are processed by preliminary parameters.

[0046] In this embodiment, the parameter value mapping range is used to ensure that the parameter value is within a reasonable range during the quality evaluation process.

[0047] In this embodiment, the first conversion parameter is a parameter set obtained after the real-time support parameter is converted.

[0048] In this embodiment, the first stent parameter refers to the stent parameter after parameter processing so as to meet the evaluation requirements of the quality evaluation method, wherein the parameter processing may include data cleaning, data conversion, data normalization, etc.

[0049] The beneficial effect of the above technical solution is: by processing the real-time support parameters of the working face hydraulic support, quality evaluation is performed in combination with the quality evaluation target, so that the quality evaluation of the hydraulic support can be made more accurate based on the quality, thereby improving the working efficiency of the hydraulic support.

[0050] Embodiment 5: Based on Example 3, the first support parameter of the target hydraulic support is obtained by combining the first processing parameter, including: Obtaining a parameter type of each sub-parameter in the first conversion parameter, and determining a corresponding parameter value mapping range based on the parameter type to obtain a first parameter value range set; Determine whether each first conversion sub-parameter in the first conversion parameter is in a first parameter value mapping range corresponding to the first parameter value range set; If the first conversion sub-parameter is within the corresponding first parameter value mapping range, the current first conversion sub-parameter is used as the first adjustment sub-parameter; If the first conversion sub-parameter is not within the corresponding first parameter value mapping range, performing parameter value mapping adjustment on the current first conversion sub-parameter to obtain a first adjustment sub-parameter; Each first adjustment sub-parameter is integrated to obtain a first adjustment parameter, and combined with the first processing parameter to obtain a first support parameter of the target hydraulic support.

[0051] In this embodiment, the first adjustment sub-parameter is a parameter obtained by adjusting the sub-parameter in the first conversion parameter that does not conform to the parameter value mapping range.

[0052] In this embodiment, the first adjustment parameter is a parameter set obtained by integrating the first adjustment sub-parameters, and is used to perform quality evaluation in combination with the quality evaluation method.

[0053] In this embodiment, the parameter type refers to the classification or attribute of the parameter, such as numeric type, Boolean type, enumeration type, etc.

[0054] In this embodiment, the parameter value mapping adjustment is a mapping adjustment process of adjusting the parameter value that does not conform to the parameter value mapping range to a suitable range.

[0055] The beneficial effect of the above technical solution is: by processing the real-time support parameters of the working face hydraulic support, quality evaluation is performed in combination with the quality evaluation target, so that the quality evaluation of the hydraulic support can be made more accurate based on the quality, thereby improving the working efficiency of the hydraulic support.

[0056] Embodiment 6: Based on Example 5, the quality evaluation method is used to evaluate the quality of the first support parameters, and the support quality evaluation result is obtained, including: Step 31: inputting the first stent parameter into the quality evaluation method, and performing parameter analysis to obtain an initial analysis result; Step 32: The initial analysis result is combined with the support type and the first support parameter of the target hydraulic support to obtain a support quality evaluation result of the target hydraulic support.

[0057] In this embodiment, the quality evaluation method refers to a specific method or process for evaluating the quality of a hydraulic support, which generally includes steps such as data collection, data analysis, and quality assessment. Different quality evaluation methods may be based on different theories, standards, and requirements.

[0058] In this embodiment, the first stent parameter refers to the stent parameter after parameter processing so as to meet the evaluation requirements of the quality evaluation method, wherein the parameter processing may include data cleaning, data conversion, data normalization, etc.

[0059] In this embodiment, parameter analysis may include techniques such as sensitivity analysis, correlation analysis or optimization analysis.

[0060] In this embodiment, the initial analysis result is the output of the parameter analysis, which provides preliminary analysis results on the support quality of the target hydraulic support and may include a series of index values, charts or simulation results for quantifying the performance and stability of the support.

[0061] In this embodiment, the support type refers to the design and structural characteristics of the hydraulic support, such as the support method (such as shield type, support shield type, etc.), material type (such as steel, alloy, etc.) and whether it has certain special functions (such as automatic height adjustment, remote monitoring, etc.).

[0062] In this embodiment, the support quality evaluation result refers to the result obtained after quality evaluation of the hydraulic support is performed based on the quality evaluation method and the first support parameter.

[0063] The beneficial effect of the above technical solution is: by combining the quality evaluation target to evaluate the quality of the real-time support parameters, and then optimizing the support of the hydraulic support based on the quality evaluation result, the working efficiency of the hydraulic support can be improved, while the working performance of the hydraulic support can be improved and the service life can be extended.

[0064] Embodiment 7: Based on Example 6, the corresponding evaluation parameters are determined based on the support quality evaluation results, so as to obtain a support quality optimization scheme for the target hydraulic support, including: Step 41: comparing the support quality evaluation result with the quality evaluation target, thereby determining the support quality evaluation parameters of the target hydraulic support based on the comparison result; Step 42: determining the parameter level of the support quality evaluation parameter, and selecting an initial support quality optimization solution set corresponding to the parameter level from a level-optimization database based on the parameter level of the support quality evaluation parameter; Step 43: extracting the corresponding optimized support parameter type of each support quality optimization scheme based on each initial support quality optimization scheme in the initial support quality optimization scheme set; Step 44: matching the first stent parameter with the corresponding optimized stent parameter type of each stent quality optimization scheme, thereby obtaining the optimized stent parameter corresponding to each stent quality optimization scheme; Step 45: obtaining the parameter quantity of the optimized support parameter corresponding to each support quality optimization scheme as the first data quantity, and simultaneously obtaining the type quantity of the corresponding optimized support parameter type as the second data quantity; Step 46: Obtaining a first ratio of each support quality optimization solution based on a ratio of each first data volume to a corresponding second data volume; Step 47: Compare each first ratio in the initial support quality optimization solution set, so as to extract the initial support quality optimization solution with the largest first ratio as the initial support quality optimization solution of the target hydraulic support; Step 48: Determine whether the initial support quality optimization solution can be adapted to the target hydraulic support; If the initial support optimization scheme can be adapted to the target hydraulic support, the initial support quality optimization scheme is used as the first support quality optimization scheme; If the initial support optimization scheme cannot be adapted to the target hydraulic support, the initial support quality optimization scheme with the second largest ratio in the initial support quality optimization scheme set is used as the first auxiliary optimization scheme, and the first auxiliary optimization scheme is combined with the initial support quality optimization scheme to obtain the first support quality optimization scheme for the target hydraulic support; Step 49: Determine the support quality optimization scheme of the target hydraulic support based on the first support quality optimization scheme and the corresponding optimized support parameters.

[0065] In this embodiment, the support quality evaluation result refers to the result obtained after quality evaluation of the hydraulic support is performed based on the quality evaluation method and the first support parameter.

[0066] In this embodiment, the evaluation parameters refer to key factors or indicators that affect the support quality, which are usually determined based on the support quality evaluation results. The evaluation parameters may include working resistance, support strength, stability, etc.

[0067] In this embodiment, the parameter levels are divided into different levels according to the values ​​of the support quality evaluation parameters for classification and optimization.

[0068] In this embodiment, the level-optimization database is a database storing support quality optimization solutions corresponding to different parameter levels. This database can quickly screen out suitable optimization solutions according to the parameter levels.

[0069] In this embodiment, the initial support quality optimization solution set is a set of support quality optimization solutions for the target hydraulic support, which is screened from the level-optimization database based on the parameter level.

[0070] In this embodiment, the optimized support parameter type is the support parameter type that needs to be adjusted or optimized in the support quality optimization solution, such as support height, width, material, etc.

[0071] In this embodiment, the first support parameter refers to the current support parameter of the target hydraulic support, which is used to match the optimized support parameter type.

[0072] In this embodiment, the optimized support parameters are optimized support parameters for the target hydraulic support obtained after matching with the first support parameters.

[0073] In this embodiment, the first data amount refers to the parameter amount of the optimized support parameter corresponding to each support quality optimization scheme, that is, the specific value of the optimized parameter.

[0074] In this embodiment, the second data quantity refers to the type quantity of the corresponding optimized bracket parameter type, which may indicate the importance or quantity of the type parameter in the optimization scheme.

[0075] In this embodiment, the first ratio is the ratio of the first data volume to the corresponding second data volume of each support quality optimization scheme, which is used to evaluate the rationality and effectiveness of the optimization scheme.

[0076] In this embodiment, the initial support quality optimization solution is the best solution extracted from the initial support quality optimization solution set by comparing the first ratio.

[0077] In this embodiment, adaptation refers to whether the initial support quality optimization solution can match or be compatible with the actual situation of the target hydraulic support.

[0078] In this embodiment, the first auxiliary optimization scheme is an optimization scheme with the second largest ratio selected from the initial support quality optimization scheme set when the initial support quality optimization scheme cannot be adapted to the target hydraulic support.

[0079] In this embodiment, synthesis refers to comparing the first auxiliary optimization plan with each sub-plan in the initial stent quality optimization plan, thereby comparing and replacing the quality optimization plans corresponding to the same optimization target, thereby adjusting the initial stent quality optimization plan and obtaining the first stent quality optimization plan.

[0080] In this embodiment, the support quality optimization plan refers to an optimization plan for the target hydraulic support formulated based on the support quality evaluation results and evaluation parameters, aiming to improve the support quality and performance of the support. The optimization plan may include measures such as adjusting support parameters, improving support design, and optimizing construction technology.

[0081] The beneficial effect of the above technical solution is that by optimizing the support of the hydraulic support in combination with the quality evaluation results, the working efficiency of the hydraulic support can be improved, while the working performance of the hydraulic support can be improved and the service life can be extended.

[0082] Embodiment 8: Based on Example 7, after obtaining the support quality optimization scheme for the target hydraulic support, the following steps are included: verifying the support quality optimization scheme, specifically including: Step 51: inputting the real-time support parameters of the target hydraulic support based on the support quality optimization scheme into a preset virtual machine, thereby obtaining the second support parameters after the support quality optimization is performed; Step 52: Perform statistics based on the second stent parameter and the real-time stent parameter to obtain a stent parameter change trend; Step 53: judging the effect of the support quality optimization solution of the target support based on the support parameter change trend of each real-time support parameter; If the variation trend of each support parameter in the second support parameter is in a more optimal parameter variation trend, it is judged that the support quality optimization scheme of the target support has a good effect; If there is a parameter change trend in each support parameter change trend in the second support parameters that is not in a better parameter change trend, it is judged that the support quality optimization scheme between the targets needs to be optimized.

[0083] In this embodiment, the preset virtual machine refers to a pre-configured virtual environment for simulating and analyzing the working state of the hydraulic support. By inputting the support quality optimization scheme and the real-time support parameters into the virtual machine, the optimized support parameters can be simulated.

[0084] In this embodiment, the second support parameters refer to the support parameters obtained by simulation in the preset virtual machine after the support quality optimization scheme is applied to the target hydraulic support. These parameters reflect the working state and performance of the support after the optimization scheme is implemented.

[0085] In this embodiment, the real-time support parameters refer to the parameters recorded in real time during the operation of the hydraulic support, such as working resistance, column pressure, support height, etc. Here, they are used as a benchmark for comparison with the optimized second support parameters.

[0086] In this embodiment, the stent parameter variation trend refers to the trend of stent parameters as they change over time or under certain conditions. By comparing the stent parameter variation trends before and after optimization, the effect of the optimization scheme can be evaluated.

[0087] In this embodiment, the better parameter change trend means that the second support parameter change trend shows a better or more stable trend in support quality compared with the real-time support parameter change trend. The better parameter change trend usually means that the working state and performance of the support are improved.

[0088] In this embodiment, the scheme effect refers to the degree of improvement of the support quality of the target hydraulic support after the support quality optimization scheme is implemented. By comparing the change trend of the support parameters before and after the optimization, the actual effect of the scheme can be evaluated.

[0089] The beneficial effect of the above technical solution is that the working efficiency and working performance of the hydraulic support can be improved by verifying the support optimization solution and optimizing the solution again based on the solution verification result.

[0090] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating the quality of hydraulic support support on a working face, characterized in that: include: Step 1: Obtain the support type of the target hydraulic support, thereby determining the quality evaluation target of the corresponding support type, and simultaneously obtaining the real-time support parameters of the target hydraulic support; Step 2: Determine a quality evaluation method that matches the target hydraulic support based on the quality evaluation target and the support type, and perform parameter processing on the real-time support parameters based on the evaluation requirements of the quality evaluation method to obtain the first support parameters; Step 3: Performing quality evaluation on the first support parameters based on the quality evaluation method to obtain a support quality evaluation result; Step 4: Determine the corresponding evaluation parameters based on the support quality evaluation results, so as to obtain the support quality optimization plan for the target hydraulic support.

2. A method for evaluating the quality of hydraulic support support for a working face according to claim 1, characterized in that: The support type of the target hydraulic support is obtained, so as to determine the quality evaluation target of the corresponding support type, and the real-time support parameters of the target hydraulic support are obtained, including: Step 11: Based on the support type of the target hydraulic support and the real-time support use environment, obtain the quality evaluation target of the target hydraulic support under the current support use environment; Step 12: Based on the preset sensor, the support parameters of the target hydraulic support are collected in real time to obtain the real-time support parameters.

3. A method for evaluating the quality of hydraulic support support for a working face according to claim 2, characterized in that: A quality evaluation method that matches the target hydraulic support is determined based on the quality evaluation target and the support type, and the real-time support parameters are processed based on the evaluation requirements of the quality evaluation method to obtain the first support parameters, including: Step 21: Based on the support type and quality evaluation target of the target hydraulic support, a quality evaluation method that matches the target hydraulic support is selected from the quality evaluation method database; Step 22: obtaining the evaluation requirements of the quality evaluation method, thereby determining a parameter processing scheme for the real-time stent parameters; Step 23: Parameter processing is performed on the real-time support parameters based on the parameter processing scheme, and parameter conversion is performed on the relevant parameters of the real-time support parameters based on the evaluation requirements of the quality evaluation method, so as to obtain the first support parameters of the target hydraulic support in combination with the parameter processing results.

4. A method for evaluating the quality of hydraulic support support for a working face according to claim 3, characterized in that: The real-time support parameters are processed based on the parameter processing scheme, and the relevant parameters of the real-time support parameters are converted based on the evaluation requirements of the quality evaluation method, so as to obtain the first support parameters of the target hydraulic support in combination with the parameter processing results, including: Step 231: performing parameter processing on the real-time stent parameters based on the parameter processing scheme to obtain first processing parameters; Step 232: determining a parameter value mapping range of the real-time stent parameter based on the evaluation requirements of the quality evaluation method, and performing parameter conversion on the real-time stent parameter based on the evaluation requirements to obtain a first conversion parameter; Step 233: adjusting the first conversion parameter so that the adjusted parameter value is within the parameter value mapping range, and combining the first processing parameter to obtain the first support parameter of the target hydraulic support.

5. A method for evaluating the quality of hydraulic support support for a working face according to claim 4, characterized in that: The first conversion parameter is adjusted so that the adjusted parameter value is within the parameter value mapping range, and the first support parameter of the target hydraulic support is obtained by combining the first processing parameter, including: Obtaining a parameter type of each sub-parameter in the first conversion parameter, and determining a corresponding parameter value mapping range based on the parameter type to obtain a first parameter value range set; Determine whether each first conversion sub-parameter in the first conversion parameter is in a first parameter value mapping range corresponding to the first parameter value range set; If the first conversion sub-parameter is within the corresponding first parameter value mapping range, the current first conversion sub-parameter is used as the first adjustment sub-parameter; If the first conversion sub-parameter is not within the corresponding first parameter value mapping range, performing parameter value mapping adjustment on the current first conversion sub-parameter to obtain a first adjustment sub-parameter; Each first adjustment sub-parameter is integrated to obtain a first adjustment parameter, and combined with the first processing parameter to obtain a first support parameter of the target hydraulic support.

6. A method for evaluating the quality of hydraulic support support on a working face according to claim 3, characterized in that: The quality evaluation of the first support parameters is performed based on the quality evaluation method to obtain the support quality evaluation results, including: Step 31: inputting the first stent parameter into the quality evaluation method, and performing parameter analysis to obtain an initial analysis result; Step 32: The initial analysis result is combined with the support type and the first support parameter of the target hydraulic support to obtain a support quality evaluation result of the target hydraulic support.

7. A method for evaluating the quality of hydraulic support support for a working face according to claim 5, characterized in that: Based on the support quality evaluation results, the corresponding evaluation parameters are determined to obtain the support quality optimization plan for the target hydraulic support, including: Step 41: comparing the support quality evaluation result with the quality evaluation target, thereby determining the support quality evaluation parameters of the target hydraulic support based on the comparison result; Step 42: determining the parameter level of the support quality evaluation parameter, and selecting an initial support quality optimization solution set corresponding to the parameter level from a level-optimization database based on the parameter level of the support quality evaluation parameter; Step 43: extracting the corresponding optimized support parameter type of each support quality optimization scheme based on each initial support quality optimization scheme in the initial support quality optimization scheme set; Step 44: matching the first stent parameter with the corresponding optimized stent parameter type of each stent quality optimization scheme, thereby obtaining the optimized stent parameter corresponding to each stent quality optimization scheme; Step 45: obtaining the parameter quantity of the optimized support parameter corresponding to each support quality optimization scheme as the first data quantity, and simultaneously obtaining the type quantity of the corresponding optimized support parameter type as the second data quantity; Step 46: Obtaining a first ratio of each support quality optimization solution based on a ratio of each first data volume to a corresponding second data volume; Step 47: Compare each first ratio in the initial support quality optimization solution set, so as to extract the initial support quality optimization solution with the largest first ratio as the initial support quality optimization solution of the target hydraulic support; Step 48: Determine whether the initial support quality optimization solution can be adapted to the target hydraulic support; If the initial support optimization scheme can be adapted to the target hydraulic support, the initial support quality optimization scheme is used as the first support quality optimization scheme; If the initial support optimization scheme cannot be adapted to the target hydraulic support, the initial support quality optimization scheme with the second largest ratio in the initial support quality optimization scheme set is used as the first auxiliary optimization scheme, and the first auxiliary optimization scheme is combined with the initial support quality optimization scheme to obtain the first support quality optimization scheme for the target hydraulic support; Step 49: Determine the support quality optimization scheme of the target hydraulic support based on the first support quality optimization scheme and the corresponding optimized support parameters.

8. A method for evaluating the quality of hydraulic support support on a working face according to claim 7, characterized in that: After obtaining the support quality optimization plan for the target hydraulic support, the following steps are included: verifying the support quality optimization plan, specifically including: Step 51: inputting the real-time support parameters of the target hydraulic support based on the support quality optimization scheme into a preset virtual machine, thereby obtaining the second support parameters after the support quality optimization is performed; Step 52: Perform statistics based on the second stent parameter and the real-time stent parameter to obtain a stent parameter change trend; Step 53: judging the effect of the support quality optimization solution of the target support based on the support parameter change trend of each real-time support parameter; If the variation trend of each support parameter in the second support parameter is in a more optimal parameter variation trend, it is judged that the support quality optimization scheme of the target support has a good effect; If there is a parameter change trend in each support parameter change trend in the second support parameters that is not in a better parameter change trend, it is judged that the support quality optimization scheme between the targets needs to be optimized.

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