Multifunctional climbing protection tool test device

Abstract

The application provides a multifunctional climbing protection tool test device, and relates to the technical field of physical testing.The real-time collection of electromagnetic radiation data and ultrasonic data is introduced, advanced data processing technologies such as multivariate nonlinear regression analysis and Gaussian mixture model are combined, comprehensive and accurate evaluation of the pressure resistance and static load bearing capacity of the tool is realized, and the scientificity and reliability of the evaluation of the climbing protection tool are significantly improved.

Description

Technical Field

[0001] This invention relates to the field of physical testing technology, specifically to a multifunctional testing device for climbing protection equipment. Background Technology

[0002] The primary function of protective equipment for working at heights is to prevent electric shock accidents caused by insulation failure during the operation of electrical equipment, ensuring the safety of operators and equipment. To ensure the performance of such equipment, withstand voltage testing and static load testing are crucial methods for evaluation and verification. Traditional withstand voltage testing primarily verifies the insulation strength of the equipment by applying high voltage, assessing its insulation performance under high-voltage conditions. Static load testing, on the other hand, applies continuous mechanical loads to evaluate the structural stability and load-bearing capacity of the equipment under static mechanical stress. However, with continuous improvements in insulation materials and structures, existing testing methods and evaluation systems are gradually showing shortcomings in terms of accuracy, real-time performance, and comprehensiveness. There is an urgent need for more intelligent and integrated evaluation methods to meet the increasingly stringent performance requirements of modern industry for protective equipment for working at heights.

[0003] The existing technology, with publication number CN119147366A, entitled "An Adaptive Pressure Fixture Testing System for IGBT Insulation Withstand Voltage," includes a hardware structure comprising an upper quick-change fixture and a lower quick-change fixture for fixing and positioning the module under test. Indexing pins and a spring mechanism ensure the module's precise and stable position during testing. A servo electric cylinder drives a push plate to achieve precise displacement of the upper quick-change fixture. The displacement control of the servo electric cylinder is based on an optimized displacement formula. This adaptive pressure fixture testing system for IGBT insulation withstand voltage possesses adaptive pressure adjustment and dynamic compensation capabilities, effectively solving the testing error problem caused by external factors in traditional testing systems by combining multi-factor feedback from a servo electric cylinder, pressure sensor, temperature, and vibration sensor.

[0004] Shortcomings:

[0005] 1. Existing evaluation systems for withstand voltage and static load tests of protective equipment for working at heights often suffer from incomplete data collection, single evaluation indicators, and outdated analysis methods. Traditional systems rely heavily on limited electrical parameters such as current and voltage to evaluate insulation performance during withstand voltage tests, neglecting the impact of key indicators such as electromagnetic radiation intensity and spectrum distribution on insulation status.

[0006] 2. In addition, static load tests usually only focus on the deformation and damage of tools and equipment when subjected to mechanical loads, and lack real-time monitoring and analysis of microscopic changes such as ultrasonic signals; due to the lack of multi-dimensional and multi-parameter comprehensive evaluation, existing systems are unable to fully reflect the actual performance of climbing protection tools and equipment in complex usage environments.

[0007] Therefore, there is an urgent need for a test evaluation system that integrates multiple data acquisition methods, has diversified evaluation indicators, and advanced data analysis models, in order to achieve accurate evaluation of the pressure resistance and static load bearing capacity of climbing protection equipment.

[0008] The information disclosed in the background section above is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0009] The purpose of this invention is to provide a multifunctional testing device for climbing protection equipment to solve the problems mentioned in the background art.

[0010] To achieve the above objectives, the present invention provides the following technical solution:

[0011] A multifunctional testing device for climbing protection equipment, the specific steps of which include:

[0012] First data acquisition module: used to collect first electromagnetic radiation data and second electromagnetic radiation data of the surface of the climbing protective equipment and its surrounding environment in real time during the pressure test. The electromagnetic radiation data includes electromagnetic radiation intensity data and spectrum distribution data.

[0013] The first index construction module is used to receive the first electromagnetic radiation data and the second electromagnetic radiation data, and to use multivariate nonlinear regression analysis to construct the corresponding first electromagnetic radiation response index and the second electromagnetic radiation response index respectively.

[0014] The second data acquisition module is used to monitor the ultrasonic data generated by the climbing protection equipment in real time during the static load test, and to extract the sound wave frequency, amplitude and pulse duration data of the ultrasonic data.

[0015] The second indicator construction module is used to receive ultrasonic data and apply a multidimensional Gaussian mixture model and nonlinear regression analysis to calculate the signal amplitude index.

[0016] Pressure resistance assessment module: Receives the first electromagnetic radiation response index and the second electromagnetic radiation response index, and introduces the pressure resistance index for comprehensive analysis and processing, so as to assess the pressure resistance of the climbing protection equipment.

[0017] Static load assessment module: The received signal amplitude index and withstand voltage index are used as input parameters of the multivariate regression model, and the static load bearing capacity index is used as the output. By analyzing and processing these parameters, the static load bearing capacity of the climbing protection equipment is assessed.

[0018] Compared with the prior art, the beneficial effects of the present invention are:

[0019] First, during the pressure test, the first data acquisition module can collect real-time data on the electromagnetic radiation intensity and spectrum distribution of the surface of the protective equipment and its surrounding environment. This electromagnetic radiation data reflects the electromagnetic response characteristics of the equipment under high pressure. Subsequently, the first index construction module uses a multivariate nonlinear regression analysis method to construct the first electromagnetic radiation response index and the second electromagnetic radiation response index, providing a reliable data basis for the comprehensive evaluation of the pressure resistance.

[0020] During the static load test phase, the second data acquisition module monitors the ultrasonic data generated by the tool in real time and extracts key parameters such as sound wave frequency, amplitude, and pulse duration. These ultrasonic data are then processed by the second index construction module, which uses a multidimensional Gaussian mixture model and nonlinear regression analysis to calculate the signal amplitude index, thereby further quantifying the structural stability of the tool.

[0021] The withstand voltage assessment module comprehensively analyzes the first and second electromagnetic radiation response indices and introduces the withstand voltage capacity index to conduct a comprehensive evaluation of the withstand voltage performance of the tools and equipment. The static load assessment module inputs the signal amplitude index and withstand voltage capacity index into a multivariate regression model and outputs the static load carrying capacity index. Through the collaborative work of the above modules, this system not only achieves comprehensive and real-time data acquisition, but also improves the accuracy and reliability of the evaluation results through advanced data processing technology. It significantly optimizes the testing and evaluation process of high-altitude protective equipment and equipment, and meets the stringent requirements of modern industry for high-standard insulation equipment. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the overall system model of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0024] It should be noted that, unless otherwise defined, the technical or scientific terms used in this invention should have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0025] Example 1:

[0026] Please see Figure 1 The present invention provides a technical solution:

[0027] The protective equipment for working at heights is installed on an insulating test rack with high-voltage loading and static load loading functions. After the withstand voltage test and static load test are completed, the evaluation system analyzes the test results. The evaluation system includes the following modules:

[0028] First data acquisition module: used to collect first electromagnetic radiation data and second electromagnetic radiation data of the surface of the climbing protective equipment and its surrounding environment in real time during the pressure test. The electromagnetic radiation data includes electromagnetic radiation intensity data and spectrum distribution data.

[0029] Further explanation: The specific data acquisition steps of the first data acquisition module are as follows:

[0030] Electromagnetic radiation detection sensors are arranged on the surface of climbing protective equipment to collect electromagnetic radiation intensity data and spectrum distribution data of the first electromagnetic radiation data, which are used to evaluate the insulation status of the internal materials of the climbing protective equipment; in this embodiment, the climbing protective equipment includes an insulated hard ladder, an insulated stool, and a foot-clipped climbing stool;

[0031] Electromagnetic radiation detection sensors are deployed around the climbing protective equipment to collect electromagnetic radiation intensity data and spectrum distribution data of the second electromagnetic radiation data, which are used to evaluate the electromagnetic coupling effect between the climbing protective equipment and the external environment under working conditions.

[0032] 1.1) In this embodiment, a high-sensitivity microwave detector with a fixed frequency band of 300MHz to 3GHz and a resolution of 100kHz is used to collect electromagnetic radiation data;

[0033] 1.2) The microwave detector is calibrated, a reference electromagnetic background value is set, and real-time data transmission is achieved through the sensor interface;

[0034] 1.3) Collect the electromagnetic radiation intensity value at each sampling time. and the corresponding spectrum , where k represents the frequency sampling point;

[0035] 1.4) Apply a data filtering algorithm to remove noisy data below a preset threshold to ensure the stability of data acquisition; in this embodiment, the preset threshold is 0.01mW / cm².

[0036] Example 2:

[0037] The first index construction module is used to receive the first electromagnetic radiation data and the second electromagnetic radiation data, and to use multivariate nonlinear regression analysis to construct the corresponding first electromagnetic radiation response index and the second electromagnetic radiation response index respectively.

[0038] Further explanation: 2.1) Calculate the average spectral offset of the first electromagnetic radiation data and the second electromagnetic radiation data at frequency sampling point k, respectively. ,in It is frequency data Compared with the reference spectrum The deviation is denoted by k, where k represents the index of the frequency sampling point, and N is the total number of frequency sampling points; and the average spectral offset between the first electromagnetic radiation data and the second electromagnetic radiation data is denoted by . , ;

[0039] 2.2) Simultaneously acquire the withstand voltage V at the corresponding time of each frequency sampling point to form a data pair. ;

[0040] 2.3) Using MATLAB or an equivalent software platform, nonlinear least squares regression tools are used to fit multiple sets of data. Then, through multivariate nonlinear regression analysis, the model parameters a, b, c, and d are determined to construct the first electromagnetic radiation response index. Second electromagnetic radiation response index ;

[0041] The first electromagnetic radiation response index is characterized. ;

[0042] The second electromagnetic radiation response index is characterized as ;

[0043] in, This is a scaling factor; used to adjust... or The overall output scale; V is the withstand voltage test voltage at the current moment;

[0044] It is the primary electromagnetic radiation response index; It is the second electromagnetic radiation response index;

[0045] b is the exponential coefficient related to the average spectral offset; it describes the effect of the spectral offset on the output. or The degree of impact;

[0046] c is a proportionality coefficient related to the withstand voltage test voltage V; it describes the linear or nonlinear effect of the withstand voltage test voltage on the electromagnetic radiation response.

[0047] d is the exponential term; it describes the withstand voltage test voltage V. or The degree of nonlinear influence;

[0048] 2.4) Apply association rule mining algorithm to perform secondary statistics on data with large fitting errors, extract key spectral anomaly indicators, and update data input.

[0049] Example 3:

[0050] The second data acquisition module is used to monitor the ultrasonic data generated by the climbing protection equipment in real time during the static load test, and to extract the sound wave frequency, amplitude and pulse duration data of the ultrasonic data.

[0051] Further explanation: 3.1) A high-frequency ultrasonic sensor with a frequency range of 50kHz to 1MHz and a resolution of 0.1kHz shall be pre-fixed and installed on the climbing protection equipment, and the amplitude of the sensor shall be calibrated with an accuracy of not less than ±0.5dB.

[0052] 3.2) Acquire ultrasonic data generated during the static load test in real time, and record the data set for each event under the ultrasonic data. ,in For sound wave frequency, It is the real-time measured signal amplitude, and Δt is the pulse duration.

[0053] Example 4:

[0054] The second indicator construction module is used to receive ultrasonic data and apply a multidimensional Gaussian mixture model and nonlinear regression analysis to calculate the signal amplitude index.

[0055] Further explanation: 4.1) Perform wavelet transform processing on the acquired ultrasonic data to extract the main frequency components and pulse width of the ultrasonic data;

[0056] 4.2) Group the data of each processed event With the preset reference frequency and reference pulse width Perform comparisons to calculate the ratios in each data set. and ; Build a new data group As data points;

[0057] 4.3) A Gaussian mixture model (GMM) was used to cluster all data points to separate out anomalous data point groups related to microcrack propagation;

[0058] 4.4) For each group of outlier data points, a nonlinear least squares regression algorithm is used to fit the formula. ;

[0059] in, It is a predicted signal amplitude index used to reflect the predicted signal strength for each outlier data point.

[0060] It is the output value after modeling the signal amplitude by fitting the formula. It represents the signal amplitude required for abnormal microcracks on climbing protection equipment at a specific frequency and pulse duration. Its magnitude is used to further confirm the data anomaly.

[0061] It is the real-time measured signal amplitude, which is the actual signal strength observed in the collected data; it reflects the signal response strength of the current event and is usually used to describe the impact of microcrack propagation at abnormal data points.

[0062] Through exponential relationships This reflects the amplitude of the measured signal. For predicted values The nonlinear effects, the weights of which are determined by the fitting parameters. Adjustment.

[0063] It is a frequency ratio, representing the relative change in signal frequency. The degree of frequency deviation is related to abnormal behavior or microcrack propagation mode.

[0064] Through exponential relationships This describes the effect of frequency variation on signal amplitude, and its importance is determined by the fitting parameters. Adjustment.

[0065] It is the pulse duration ratio; it represents the relative change in signal duration, and the change in duration may reflect the characteristics of abnormal energy release or crack propagation.

[0066] Through logarithmic relations This reflects the influence of pulse duration on signal amplitude, and its importance is determined by the fitting parameters. Adjustment.

[0067] , , These are the fitting parameters for the corresponding parameters; used to measure the influence of different variables on the prediction results. The relative weights;

[0068] Indicates the real-time measurement signal amplitude Importance in prediction; larger values This indicates that the signal amplitude is dominant;

[0069] Represents the frequency ratio Importance in prediction; larger values This indicates that frequency variation has a more significant impact on signal amplitude;

[0070] Indicates the ratio of pulse duration Importance in prediction; larger values This indicates that changes in pulse width play a greater role in signal amplitude.

[0071] , It is the power-law exponent of the corresponding parameters; used to describe Ratio of frequency For predicted values The nonlinear relationship.

[0072] Controlling the amplitude of real-time signals Increase or decrease the degree of nonlinearity in the formula. Larger... This indicates that the signal amplitude has a high impact over a large range.

[0073] Control frequency ratio The degree of nonlinearity increased or decreased in the prediction. Larger... This indicates that frequency variation significantly amplifies the impact of signal amplitude.

[0074] It is the reference pulse width, a standardized reference value for the pulse duration; The pulse duration used for normalization of acquisition is used to provide a relatively uniform reference for pulse duration variations. Its value is preset by the system or experiment to ensure the universality of the fitting process.

[0075] Example 5:

[0076] Pressure resistance assessment module: Receives the first electromagnetic radiation response index and the second electromagnetic radiation response index, and introduces the pressure resistance index for comprehensive analysis and processing, so as to assess the pressure resistance of the climbing protection equipment.

[0077] Further explanation: Response index to the first electromagnetic radiation Second electromagnetic radiation response index Standardize the values ​​to limit their range to [0,1].

[0078] The first electromagnetic radiation response index The standardized value is denoted as :

[0079]

[0080] in, It is the maximum value of the first electromagnetic radiation response index in historical data, and ensures No more than 1;

[0081] The second electromagnetic radiation response index The standardized value is denoted as :

[0082]

[0083] in, It is the maximum value of the second electromagnetic radiation response index in historical data, ensuring No more than 1;

[0084] To enhance the influence of standardized indicators in the overall score, the standardized indicators were... and Adjust using an exponential function to obtain respectively and ;

[0085]

[0086]

[0087] in, yes The output value after adjustment by the exponential function; It is the first adjustment factor, used to control Sensitivity in the overall score It is the second adjustment factor, used to control Sensitivity in the overall score; and The value range is within the interval (0,1);

[0088] calculate and The proportionality parameter K is used to reflect the relative relationship between the two; the formula for the proportionality parameter K is as follows:

[0089]

[0090] in, This indicates that the internal insulation performance of protective equipment for working at heights is more significant than that of external electromagnetic coupling;

[0091] This indicates that the external electromagnetic coupling of protective equipment for working at heights is more significant than its internal insulation performance;

[0092] Calculate the logistic function based on the scaling parameter K. ;

[0093]

[0094] in, It is a sensitivity parameter that controls the steepness of the logistic function; The value range is within the interval (0,1);

[0095] It is a proportional reference value; in this embodiment, it is set to 1, which represents the reference point when the internal and external factors of climbing protection equipment are balanced.

[0096] when hour, ;

[0097] when hour, A value close to 1 indicates that the internal insulation performance of protective equipment for working at heights is more important.

[0098] when hour, A value close to 0 indicates that external electromagnetic coupling is more important for protective equipment used at heights.

[0099] During the withstand voltage test, real-time voltage and current leakage data of protective equipment for working at heights were collected, and the withstand voltage capacity index was calculated. The pressure resistance index After standardization processing and and and Combined, to comprehensively evaluate the overall pressure resistance of climbing protective equipment; the specific steps are as follows:

[0100] Further explanation: During the pressure test, the following parameters were collected in real time:

[0101] Breakdown voltage : The maximum voltage that climbing safety equipment can withstand, in volts (V).

[0102] Leakage current Leakage current generated by protective equipment for working at heights in a pressure-resistant environment, measured in milliamperes.

[0103] Based on the collected data, the pressure resistance index was calculated. :

[0104]

[0105] Pressure resistance index This indicates the overall level of pressure resistance of protective equipment for working at heights; the smaller the leakage current, the stronger the pressure resistance.

[0106] Standardize the pressure resistance index:

[0107]

[0108] in This represents the maximum pressure resistance index for similar protective equipment used at heights in historical data. value; It is a standardized pressure resistance indicator;

[0109] Standardized Adjust using an exponential function to obtain ;

[0110]

[0111] in, It is the third adjustment factor, and its value ranges from (0,1).

[0112] Based on the adjusted and and and Conduct comprehensive scoring Calculation;

[0113]

[0114] in, , and The weights of the corresponding parameters satisfy... ; , and The value is within the interval (0,1);

[0115] Used to dynamically adjust the proportion parameter K, so that the overall score It can balance the weights of internal insulation performance and external electromagnetic coupling performance under different conditions;

[0116] Calculated using the Pearson correlation coefficient and Correlation coefficient between two indicators ;

[0117] when >0: The two indicators are positively correlated and their values ​​change in the same direction.

[0118] when <0: The two indicators are negatively correlated, and their values ​​change in opposite directions.

[0119] when =0: The two indicators are completely independent.

[0120] If this embodiment focuses more on internal insulation performance, then the following settings are made: and They are 0.7 and 0.3 respectively;

[0121] Set an overall score The final threshold is , Based on the proportional parameter K and the correlation coefficient The value of is adjusted using a preset dynamic adjustment strategy; the preset dynamic adjustment strategy is as follows:

[0122]

[0123] in, This is the basic threshold; in this embodiment, it is set to 0.7, determined based on historical data and industry standards.

[0124] This is the proportional adjustment range; in this embodiment, it is set to 0.05, which is used to adjust the threshold according to the change of the proportional parameter K.

[0125] It should be noted that the adjustment range of the ratio The calculation formula is:

[0126]

[0127] K is a proportionality parameter used to represent the quantitative relationship between the first electromagnetic radiation response index and the second electromagnetic radiation response index.

[0128] It is the baseline value for the ratio; it represents the reference value when the two indicators are in balance.

[0129] It is the range of proportional adjustment values, used to control the impact of the degree of deviation of K on the proportional adjustment range; Take the maximum value of K from the historical data and subtract the minimum value;

[0130]

[0131] in and These are the maximum and minimum values ​​of the proportional parameter K in the historical data, respectively;

[0132] It is an adjustment coefficient used to set the basic range of threshold adjustment; it is taken as an empirical value of the actual operating environment, and is set to 0.05 in this embodiment.

[0133] This is the correlation adjustment magnitude; in this embodiment, it is set to 0.02, used to adjust the correlation based on the correlation magnitude. The threshold is further adjusted based on the changes;

[0134] when At this time, it indicates that the internal insulation performance of climbing safety equipment is dominant, and the basic threshold needs to be raised. To ensure that external coupling also meets the requirements;

[0135] when At this time, it indicates that the external electromagnetic coupling performance of climbing safety equipment is dominant, and the basic threshold needs to be lowered. To highlight external factors;

[0136] when At that time, it refers to protective equipment for working at heights. and The correlation between them is strong, and further rigorous adjustments are needed to ensure that the comprehensive score reflects overall performance;

[0137] Further explanation: The overall score will be... With the final threshold The comparison is conducted to determine whether the pressure resistance of protective equipment for working at heights meets the requirements.

[0138] The judgment rules are as follows:

[0139]

[0140] in, This is the minimum acceptable value for pressure resistance; As determined by industry standards or usage specifications, this embodiment stipulates that the tools and equipment must withstand a voltage of 1000V or higher and a leakage current of less than 5mA.

[0141] when ,and The closer the value is to 1, the better the "pressure withstand capability" of the climbing protective equipment, and the climbing protective equipment meets or exceeds the preset technical requirements in terms of internal insulation performance and external electromagnetic compatibility; the pressure withstand capability of the climbing protective equipment is judged as "pass".

[0142] when When this is the case, it indicates that the climbing protective equipment has deficiencies in internal insulation performance or external electromagnetic compatibility, requiring further testing or design optimization. The withstand voltage capability of the climbing protective equipment is judged to "need improvement". The improvement direction includes guiding the optimization of the withstand voltage capability of the climbing protective equipment.

[0143] In this embodiment, the comprehensive score The formula organically combines the internal insulation performance and external electromagnetic coupling performance of climbing protection equipment, comprehensively reflecting its overall performance in actual application environments.

[0144] Dynamic adjustment mechanism ensures comprehensive scoring It can adapt to the performance characteristics of different climbing protection tools and equipment, highlight the evaluation of key performance indicators, and ensure the reliability of climbing protection tools and equipment in terms of safety and electromagnetic compatibility.

[0145] Overall score It is limited to the range (0,1);

[0146] The closer the value is to 1, the better the performance of the climbing protection equipment in terms of internal insulation and external electromagnetic compatibility.

[0147] The parameters change as follows:

[0148] or The closer it gets to its corresponding maximum value , The proportional parameter K approaching or exceeding 1 indicates superior internal insulation performance; the logistic function... The closer the score is to 1, the better the overall score will be.

[0149] This embodiment needs to ensure the reliability and safety of climbing protection equipment in the withstand voltage test and meet high standards of electrical insulation requirements.

[0150] The closer the value is to 0, the worse the performance of the climbing protection equipment is in terms of internal insulation and external electromagnetic compatibility, and the less it meets the preset technical requirements; the greater the adjustment range required for maintenance or design improvement.

[0151] The parameters change as follows:

[0152] or The closer it is to 0, the less adequate the internal insulation or external electromagnetic coupling performance of climbing safety equipment is;

[0153] The further the scaling parameter K is from 1; the more the logistic function... The closer it is to 0, the weaker the overall score becomes;

[0154] This embodiment aims to prevent equipment failures or safety hazards caused by poor insulation or electromagnetic coupling, and to ensure the reliable operation of climbing protection equipment.

[0155] When the value is in the middle range (0.3, 0.7), it indicates that the overall performance of the climbing protection equipment meets the requirements, but there are certain deficiencies in internal insulation performance or external electromagnetic compatibility. Optimization or enhanced monitoring should be considered; targeted improvements can enhance the overall performance of the equipment.

[0156] It should be noted that, The logic behind the changes in each parameter in the calculation formula and the reasoning for the technical effects are as follows:

[0157] First electromagnetic radiation response index Increase, will make and Increase, ultimately leading to a higher overall score The increase reflects the improvement in the internal insulation performance of protective equipment for working at heights, thus raising the overall score and meeting the technical goals of improving safety and reliability.

[0158] Second electromagnetic radiation response index Increase, will make and Increase, ultimately leading to a higher overall score Increase;

[0159] exist In the case of increasing The impact on the overall score is relatively small; In certain circumstances, the external electromagnetic coupling performance has a more significant impact on the overall score, ensuring the compatibility of tools and equipment in the external electromagnetic environment.

[0160] Increasing the scaling parameter K makes the logistic function... The increase ultimately leads to a higher overall score. Increase.

[0161] A decrease in the scaling parameter K indicates relatively superior external coupling, and the logistic function... Decreasing will synchronously affect the overall score Reduce. Emphasize the impact of external electromagnetic coupling on the overall score, and ensure that tools and equipment do not cause interference or be affected by external factors in the external electromagnetic environment.

[0162] Correlation coefficient When adding, it will be Based on this, make the final threshold Increase; the correlation coefficient in this embodiment The settings were adaptively adjusted by an expert group using fuzzy hierarchical analysis, which will not be elaborated upon here.

[0163] Correlation coefficient When it decreases, it will be Based on this, make the final threshold Decrease.

[0164] Example 6:

[0165] Building upon Example 5, to further evaluate the pressure resistance of climbing protective equipment, the following experiment was designed to comprehensively analyze the first electromagnetic radiation response index, the second electromagnetic radiation response index, and the pressure resistance index. This experiment selected six different models of climbing protective equipment as test objects, named "Equipment A," "Equipment B," "Equipment C," "Equipment D," "Equipment E," and "Equipment F," respectively. Each piece of equipment underwent a pretreatment step to ensure its surface was clean and free of external contaminants, thus avoiding any impact on the accuracy of the test results.

[0166] The tests employed high-precision electromagnetic radiation detectors and voltage and current measuring instruments to ensure the reliability and accuracy of the data. All tests were conducted in a laboratory environment with a constant temperature of 25°C and 50% relative humidity to eliminate the interference of environmental factors on the test results. Furthermore, the withstand voltage testing apparatus was calibrated to ensure the stability of the applied voltage and the accuracy of the measured current.

[0167] The testing process consists of the following steps:

[0168] 1. Measurement of electromagnetic radiation response indicators:

[0169] Place the tools and equipment in the testing area of ​​the electromagnetic radiation detector, start the equipment, and record the first electromagnetic radiation response index. Second electromagnetic radiation response index The unit is milliwatts per square centimeter (mW / cm²).

[0170] Each tool was measured three times, and the average value was taken as the final data to reduce random errors.

[0171] A withstand voltage test was performed on each tool, gradually increasing the applied voltage to a predetermined value. In this embodiment, the predetermined value was 1500V. The breakdown voltage of the tool was recorded during the application process. and leakage current The units are volts (V) and milliamperes (mA), respectively.

[0172] Calculate pressure resistance index :

[0173]

[0174] The average value of the three tests was taken as the final pressure resistance index.

[0175] Based on the invention's content, a comprehensive score is awarded. Calculated using the following formula:

[0176]

[0177] in: , and The values ​​are 0.4, 0.4, and 0.2 respectively.

[0178]

[0179]

[0180]

[0181]

[0182]

[0183] Based on the proportional parameter K and the correlation coefficient Dynamic adjustments are made, as follows:

[0184] By comparing with the final threshold By comparison, determine whether the pressure resistance of the tools and equipment meets the technical requirements:

[0185]

[0186] Among them, the minimum qualified value for pressure resistance ;

[0187] The table below records the test data for six types of protective equipment used at heights under various indicators. The data in the table are average values ​​collected during the experiment, demonstrating the innovation and advantages of the method of this invention in evaluating pressure resistance.

[0188] Table 1. Study on the pressure resistance of protective equipment for working at heights:

[0189] Parameter name Tool A Tool B Tool C Tool D Tool E Tool F First electromagnetic radiation response indicator 85 75 90 60 95 80 Second electromagnetic radiation response indicator 70 65 80 55 85 75 Signal amplitude indicator 45 40 50 35 55 42 Breakdown voltage 1600 1400 1800 1300 1900 1500 Leakage current 1.2 1.5 1 1.8 0.9 1.3 Withstand voltage capability indicator 1333.33 933.33 1800 722.22 2111.11 1153.85 0.85 0.75 0.9 0.6 0.95 0.8 0.7 0.65 0.8 0.55 0.85 0.75 0.8 0.75 0.9 0.7 0.95 0.85 adjusted indicator 0.784 0.649 0.853 0.464 0.922 0.716 adjusted indicator 0.637 0.597 0.710 0.523 0.787 0.663 adjusted indicator 0.747 0.703 0.863 0.668 0.913 0.815 Proportionality parameter 1.214 1.154 1.125 1.091 1.118 1.067 Logistic function 0.549 0.564 0.531 0.522 0.533 0.517 Overall score 0.581 0.501 0.645 0.409 0.798 0.675 Decision result Needs improvement Needs improvement Needs improvement Needs improvement Pass Needs improvement

[0190] Analysis of experimental results:

[0191] Based on the data in the table, the pressure resistance of six types of climbing protective equipment was evaluated through comprehensive analysis of the first electromagnetic radiation response index, the second electromagnetic radiation response index, and the pressure resistance index. The specific results are analyzed below:

[0192] Analysis of tool A:

[0193] First electromagnetic radiation response index Second electromagnetic radiation response index The scaling parameter K = 85 / 70 = 1.214, and the logistic function L(K) ≈ 0.549. The logistic function indicates that the internal insulation performance is relatively superior.

[0194] The pressure resistance rating is 1333.33, exceeding... This indicates that it has good pressure resistance.

[0195] The overall score was 0.581, which did not reach the final threshold. This indicates that its overall performance has certain shortcomings.

[0196] Tool A needs improvement; although tool A meets the pressure resistance standard, its overall score is below the threshold, indicating a deficiency in electromagnetic compatibility.

[0197] Analysis of tool B:

[0198] The proportional parameter of tool B is 75 / 65 = 1.154, and L(K) ≈ 0.564.

[0199] The pressure resistance index is 933.33, which is lower than... Its pressure resistance is insufficient.

[0200] The overall score is 0.501, which does not meet the final threshold. The scores for electromagnetic radiation response and signal amplitude indicators were low.

[0201] Tool B needs improvement; Tool B fails to meet the standards in terms of pressure resistance and overall performance, and its overall performance is mediocre.

[0202] Analysis of tool C:

[0203] The proportional parameter of tool C is K=90 / 80=1.125, L(K)≈0.531.

[0204] The pressure resistance rating is 1800, which is significantly higher than... This indicates that it has good pressure resistance.

[0205] The overall score is 0.645, which is close to the final threshold. However, it does not meet the threshold requirements; its overall performance is better than tools A and B, but there is still a certain gap in comprehensive efficiency.

[0206] Tool C needs improvement; although tool C has strong withstand voltage, its internal insulation performance and electromagnetic compatibility need further optimization to improve the overall score.

[0207] Analysis of tool D:

[0208] The proportional parameters of the tool are K=60 / 55=1.091 and L(K)≈0.522, indicating that the internal and external performance tends to be balanced, but the overall performance is weak.

[0209] The pressure resistance rating is 722.22, which is lower than... Its pressure resistance is significantly insufficient;

[0210] The overall score is 0.409, which is far below the final threshold. Its overall performance is relatively weak.

[0211] Tool D needs improvement; Tool D performs poorly across all evaluation metrics, particularly showing significant deficiencies in pressure resistance and electromagnetic radiation response evaluations.

[0212] Analysis of tool E:

[0213] The tooling ratio parameter K = 95 / 85 = 1.118, and the logic function L(K) ≈ 0.533.

[0214] The pressure resistance index is 2111.11, which is significantly higher than... This indicates that its pressure resistance is extremely excellent.

[0215] The overall score is 0.798, exceeding the final threshold. This demonstrates its significant advantages in internal insulation performance, electromagnetic compatibility, and withstand voltage.

[0216] Tool E passed. Tool E performed excellently across all evaluation metrics and is the ideal choice to meet the technical requirements.

[0217] Analysis of tool F:

[0218] The proportional parameter of tool F is 1.067, and L(K)≈0.517.

[0219] The pressure resistance rating is 1153.85, which is higher than... This indicates that its pressure resistance performance basically meets the standards.

[0220] The overall score is 0.675, which is below the final threshold. This indicates that improvements are still needed in its electromagnetic radiation response and internal insulation performance.

[0221] Tool F needs improvement. Although the pressure resistance of tool F basically meets the standard, its overall performance is slightly insufficient and needs to be optimized.

[0222] By evaluating the overall performance and specific data of six types of tools, the results show that tool E is the only tool to pass the evaluation due to its excellent performance, meeting or exceeding the requirements of all technical parameters, including withstand voltage, high breakdown voltage, and low leakage current. Meanwhile, while tools A, C, and F met the basic withstand voltage requirements, their overall scores failed to reach the set final threshold. The score of 0.7 indicates that its internal insulation performance or electromagnetic compatibility still needs improvement. Tools B and D failed to meet the standards in both withstand voltage and score, requiring further inspection or design optimization.

[0223] Example 7:

[0224] Static load assessment module: The received signal amplitude index and withstand voltage index are used as input parameters of the multivariate regression model, and the static load bearing capacity index is used as the output. By analyzing and processing these parameters, the static load bearing capacity of the climbing protection equipment is assessed.

[0225] Further explanation: The signal amplitude index is used to reflect the signal amplitude response value of climbing protective equipment during continuous mechanical loading, as the static load bearing capacity index changes;

[0226] The multivariate regression model for the static load assessment module is defined as follows:

[0227]

[0228] in, It is the static load bearing capacity index of climbing protection equipment, c1 and c2 are model coefficients, and c3 is a constant term;

[0229] This embodiment uses Python and related libraries to train the multivariate regression model of the static load assessment module using relevant historical data to determine c1, c2, and c3;

[0230] The result calculated at the current time and Input into the multivariate regression model of the static load assessment module to obtain the predicted static load bearing capacity index of climbing protection equipment at the current moment;

[0231] The larger the value, the stronger the dynamic response, indicating that protective equipment for climbing and standing under high loads is more unstable.

[0232] The smaller the value, the weaker the dynamic response, indicating that the climbing protection equipment is more stable under stress, and thus the better the static load bearing capacity index.

[0233] Furthermore, when At that time, the "pressure resistance" of protective equipment for climbing was characterized as good;

[0234] when At that time, the "pressure resistance" of protective equipment for climbing was characterized as poor;

[0235] Will Dimensionless processing is used to make the adjusted The output value is within the range (0,1), and the adjusted value will be... Recorded as ;

[0236] set up The judgment thresholds are q1 and q2, respectively, and 0.35 < q1 < q2 < 0.71;

[0237] Based on the "good" and "poor" characterization of pressure resistance, The static load-bearing capacity of climbing protection equipment is assessed by comparing it with q1 and q2 to determine multiple levels.

[0238] when ,and When the static load-bearing capacity of climbing protective equipment is rated as Level 1, it indicates that the equipment has achieved structural stability and protection based on the good "pressure resistance" rating.

[0239] when ,and When the static load-bearing capacity of climbing protective equipment is rated as level two, it indicates that the equipment has achieved structural stability and protection based on the good "pressure resistance" rating.

[0240] when ,and When the static load-bearing capacity of climbing protective equipment is rated as level three, it indicates that the equipment has achieved structural stability and protection based on the good "pressure resistance" rating.

[0241] when This indicates that, based on the poor "pressure resistance" rating of climbing protective equipment, the poor pressure resistance limits the insulation performance of climbing protective equipment, which has a negative effect on the stability of mechanical load bearing. Therefore, the static load bearing capacity of climbing protective equipment is characterized as a low insulation static load level.

[0242] The higher the static load bearing capacity level, the better the static load bearing capacity of climbing protective equipment.

[0243] Example 8:

[0244] To verify the effectiveness and superiority of the technical solution described in this invention, which is "to evaluate the static load bearing capacity of the climbing protection equipment", a series of experiments were designed to evaluate the static load bearing capacity of different climbing protection equipment under different pressure resistance and signal amplitude conditions.

[0245] First, six commercially available climbing safety equipment were selected as test subjects: equipment A, B, C, D, E, and F. The selection criteria for these equipment were based on their market representativeness and different pressure resistance ratings. Each piece of equipment underwent a preliminary inspection to ensure it was in good physical condition before testing.

[0246] Pressure resistance test: Each tool is tested for pressure resistance using standard pressure resistance testing equipment, and its pressure resistance value is recorded.

[0247] Predicted signal amplitude index: Based on the multivariate regression model proposed in this invention, the signal amplitude index of the tool under static load conditions is collected and recorded in real time, and the adjusted static load bearing capacity index is obtained through dimensionless processing. Its range is limited to (0,1).

[0248] Threshold settings: Set the thresholds for judging static load bearing capacity to q1 as 0.45 and q2 as 0.60. Ensure 0.35. <q1<q2<0.71。

[0249] Withstand pressure test procedure:

[0250] 1. Perform a standard withstand voltage test on each tool, gradually increasing the voltage to the set value and recording its withstand voltage index.

[0251] 2. Based on the test results, the tools and equipment are classified into those with good pressure resistance. Poor pressure resistance Two categories.

[0252] Signal amplitude measurement steps:

[0253] 1. Under static load conditions, use high-precision sensors to collect the signal amplitude of the tool in real time. and obtain the corresponding ;

[0254] 2. Using the multivariate regression model of this invention, combined with The dimensionless static load bearing capacity index was calculated. .

[0255] Static load bearing capacity assessment steps:

[0256] 1. According to Based on the numerical values ​​and the voltage withstand capability classification, the static load capacity of each tool is divided into Level 1, Level 2, Level 3 or Low Insulation Static Load Class.

[0257] 2. The specific determination process is as follows:

[0258] when ,and At that time, the assessment was level one.

[0259] when ,and At that time, the assessment was level two.

[0260] when ,and At that time, the assessment was level three.

[0261] when At that time, it was assessed as a low insulation static load class.

[0262] The data obtained through the above steps are recorded in the experimental table below. The table shows the pressure resistance, signal amplitude index, dimensionless static load bearing capacity index, and corresponding evaluation level of each tool. Comparative analysis of the results verifies the accuracy and reliability of the method of this invention in evaluating static load bearing capacity under different pressure resistance and signal amplitude conditions, fully demonstrating the innovation and advantages of this invention.

[0263] Table 2. Static load bearing capacity assessment study:

[0264] Parameter name Tool A Tool B Tool C Tool D Tool E Tool F Withstand voltage capability indicator 1100 1060 875 1070 1050 926 0.3 0.5 0.4 0.65 0.55 0.25 0.3 0.5 0.4 0.65 0.55 0.25 Evaluation level First level Second level Low insulation static load level Third level Second level Low insulation static load level

[0265] Data Explanation:

[0266] 1. Tool A: Signal amplitude index: 0 < 0.30 < 0.45; Static load capacity: Level 1;

[0267] 2. Tool B: Signal amplitude specifications: 0.45≤0.50≤0.60; Static load capacity: Level II;

[0268] 3. Tool C: Signal amplitude index: 0 < 0.40 < 0.45; Static load capacity: Low insulation static load class;

[0269] 4. Tool / Equipment D: Signal amplitude index: 0.65 > 0.60; Static load capacity: Level III;

[0270] 5. Tool E: Signal amplitude index: 0.45≤0.55≤0.60; Static load carrying capacity: Level II;

[0271] 6. Tools and Equipment: Signal Amplitude Index: 0 < 0.25 < 0.45; Static Load Capacity: Low Insulation Static Load Class; Based on the above experimental data, it can be observed that:

[0272] For tools with good pressure resistance (A, B, D, and E), the static load-bearing capacity assessment results are negatively correlated with the signal amplitude. Tool A, with a smaller signal amplitude, has a load-bearing capacity assessment of Level 1, showing the best performance; while tool D, with a larger signal amplitude, has a load-bearing capacity assessment of Level 3, showing the worst performance.

[0273] Despite differences in signal amplitude (0.40 and 0.25), the tools with poor withstand voltage (Type C and Type F) were both assessed as having a low insulation static load rating. This indicates that, given their poor withstand voltage, the reduction in signal amplitude provides some stability, but due to the inherent limitations of withstand voltage, their static load carrying capacity remains at a low level.

[0274] These data fully verify the effectiveness and accuracy of the evaluation model established in this invention, demonstrating the innovation and superiority of this invention in evaluating the static load-bearing capacity of climbing protective equipment.

[0275] The data presented in this embodiment effectively demonstrates the scientific validity and practicality of this invention in evaluating the static load-bearing capacity of climbing protective equipment, ensuring its superior performance in practical applications.

[0276] It should be noted that all calculation formulas in this application employ regression analysis, including but not limited to machine learning algorithms, to deeply analyze the collected parameters and identify their natural trends and interrelationships. Specialized software, such as Python's Scikit-learn library or the R language, is used to automatically generate mathematical models that match the data. Then, cross-validation and other methods are used to objectively evaluate the model performance, and continuous feedback and optimization are combined to ensure that the created formulas truly reflect the inherent laws of the data, thereby guaranteeing their effectiveness and accuracy. In all calculation formulas in this application, the parameters in each formula undergo dimensionless processing within a consistent range to ensure that different physical quantities are compared on the same scale; dimensionless processing techniques include, but are not limited to, min-max-normalization and Z-score standardization.

[0277] The technical solution of this invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random-access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments of this invention.

[0278] 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-including 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.

[0279] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

[0280] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A multifunctional testing device for climbing protection equipment, characterized in that, The protective equipment for working at heights is installed on an insulating test rack with high-voltage loading and static load loading functions. After the withstand voltage test and static load test are completed, the evaluation system analyzes the test results. The evaluation system includes the following modules: First data acquisition module: used to collect first electromagnetic radiation data and second electromagnetic radiation data of the surface of the climbing protective equipment and its surrounding environment in real time during the pressure test. The electromagnetic radiation data includes electromagnetic radiation intensity data and spectrum distribution data. The first index construction module is used to receive the first electromagnetic radiation data and the second electromagnetic radiation data, and to use multivariate nonlinear regression analysis to construct the corresponding first electromagnetic radiation response index and the second electromagnetic radiation response index respectively. The second data acquisition module is used to monitor the ultrasonic data generated by the climbing protection equipment in real time during the static load test, and to extract the sound wave frequency, amplitude and pulse duration data of the ultrasonic data. The second indicator construction module is used to receive ultrasonic data and apply a multidimensional Gaussian mixture model and nonlinear regression analysis to calculate the signal amplitude index. Pressure resistance assessment module: Receives the first electromagnetic radiation response index and the second electromagnetic radiation response index, and introduces the pressure resistance index for comprehensive analysis and processing, so as to assess the pressure resistance of the climbing protection equipment. Static load assessment module: The received signal amplitude index and withstand voltage index are used as input parameters of the multivariate regression model, and the static load bearing capacity index is used as the output. By analyzing and processing these parameters, the static load bearing capacity of the climbing protection equipment is assessed.

2. The multifunctional testing device for climbing protection equipment according to claim 1, characterized in that: The electromagnetic radiation intensity data and spectrum distribution data of the first electromagnetic radiation data are used to assess the insulation status of the internal materials of climbing protective equipment. The second electromagnetic radiation data, consisting of electromagnetic radiation intensity and spectral distribution data, is used to assess the electromagnetic coupling effect between climbing protective equipment and the external environment under working conditions.

3. The multifunctional testing device for climbing protection equipment according to claim 2, characterized in that: Calculate the average spectral offset of the first electromagnetic radiation data and the second electromagnetic radiation data at each frequency sampling point, and denote the average spectral offset of the first electromagnetic radiation data and the second electromagnetic radiation data as follows: , Simultaneously, the withstand voltage V at the corresponding time point of each frequency sampling point is collected, and the first electromagnetic radiation response index is characterized by multivariate nonlinear regression analysis. ; The second electromagnetic radiation response index is characterized as ; in, It is a scaling factor; It is the primary electromagnetic radiation response index; It is the second electromagnetic radiation response index; b is the exponential coefficient related to the average spectral offset; c is the proportional coefficient related to the withstand voltage test voltage V; d is the exponential term.

4. The multifunctional testing device for climbing protection equipment according to claim 3, characterized in that: Data sets recording each event under ultrasound data ,in For sound wave frequency, It is the real-time measured signal amplitude, and Δt is the pulse duration; The acquired ultrasonic data were processed using wavelet transform; the data for each event were then grouped together. With the preset reference frequency and reference pulse width Perform comparisons to calculate the ratios in each data set. and ; Build a new data group As data points; A Gaussian mixture model was used to cluster all data points to separate out anomalous data point groups related to microcrack propagation; For each group of outlier data points, a nonlinear least squares regression algorithm is used to fit the formula. ;in, It is a predictive signal amplitude indicator. It is the frequency ratio. It is the ratio of pulse duration; , , These are the fitted parameters for the corresponding parameters; , It is the fitted power exponent of the corresponding parameter; It is the reference pulse width, a standardized reference value for the pulse duration.

5. The multifunctional testing device for climbing protection equipment according to claim 4, characterized in that: response index to the first electromagnetic radiation Second electromagnetic radiation response index Standardize the values ​​to limit their range to [0,1]. The first electromagnetic radiation response index The standardized value is denoted as ; The second electromagnetic radiation response index The standardized value is denoted as ; Standardized and Adjust using an exponential function to obtain respectively and ; calculate and A scaling parameter K is used to reflect the relative relationship between the two; the logistic function is calculated based on the scaling parameter K. ; During the withstand voltage test, real-time voltage and current leakage data of protective equipment for working at heights were collected, and the withstand voltage capacity index was calculated. The pressure resistance index After standardization processing and and and Combined, to comprehensively evaluate the overall pressure resistance of climbing protective equipment; set up It is a standardized pressure resistance indicator; Standardized Adjust using an exponential function to obtain ; Based on the adjusted , , and Conduct comprehensive scoring Calculation; in, , and The weights of the corresponding parameters satisfy... ; , and The value is within the interval (0,1); Used to dynamically adjust the proportion parameter K, so that the overall score It can balance the weights of internal insulation performance and external electromagnetic coupling performance under different conditions.

6. The multifunctional testing device for climbing protection equipment according to claim 5, characterized in that: Calculated using Pearson correlation coefficient and Correlation coefficient between two indicators Set a comprehensive score The final threshold is , Based on the proportional parameter K and the correlation coefficient The value of is adjusted through a preset dynamic adjustment strategy; The preset dynamic adjustment strategy is as follows: in, It is the basic threshold; It is the percentage adjustment range; It is the magnitude of the correlation adjustment; when At this time, it indicates that the internal insulation performance of climbing safety equipment is dominant, and the basic threshold needs to be raised. To ensure that external coupling also meets the requirements; when At this time, it indicates that the external electromagnetic coupling performance of climbing safety equipment is dominant, and the basic threshold needs to be lowered. To highlight external factors; when At that time, it refers to protective equipment for working at heights. and The correlation between them is strong, and further adjustments are needed to ensure that the comprehensive score reflects overall performance.

7. The multifunctional testing device for climbing protection equipment according to claim 6, characterized in that: Comprehensive score With the final threshold The comparison is conducted to determine whether the pressure resistance of protective equipment for working at heights meets the requirements. The judgment rules are as follows: in, This is the minimum acceptable value for pressure resistance; when ,and The closer the value is to 1, the better the "pressure withstand capability" of the climbing protective equipment, and the climbing protective equipment meets or exceeds the preset technical requirements in terms of internal insulation performance and external electromagnetic compatibility; the pressure withstand capability of the climbing protective equipment is judged as "pass". when When this is the case, it indicates that the climbing protective equipment has deficiencies in internal insulation performance or external electromagnetic compatibility, requiring further testing or design optimization. The withstand voltage capability of the climbing protective equipment is judged to "need improvement". Overall score It is limited to the range (0,1); The closer the value is to 1, the better the performance of the climbing protection equipment in terms of internal insulation and external electromagnetic compatibility. The closer the value is to 0, the worse the performance of the climbing protection equipment is in terms of internal insulation and external electromagnetic compatibility, and the greater the adjustment required for maintenance or design improvement.

8. The multifunctional testing device for climbing protection equipment according to claim 7, characterized in that: Signal amplitude index is used to reflect the signal amplitude response value of climbing protective equipment during continuous mechanical loading, as the static load bearing capacity index changes; The multivariate regression model for the static load assessment module is defined as follows: in, It is the static load bearing capacity index of climbing protection equipment, c1 and c2 are model coefficients, and c3 is a constant term; The result calculated at the current time and Input into the multivariate regression model of the static load assessment module to obtain the predicted static load bearing capacity index of climbing protection equipment at the current moment; The larger the value, the stronger the dynamic response, indicating that protective equipment for climbing and standing under high loads is more unstable. The smaller the value, the weaker the dynamic response, indicating that the climbing protection equipment is more stable under stress, and thus the better the static load bearing capacity index.

9. A multifunctional testing device for climbing protection equipment according to claim 8, characterized in that: when At that time, the "pressure resistance" of climbing protective equipment was characterized as good; when At that time, the "pressure resistance" of climbing protective equipment was characterized as poor; Will Dimensionless processing was performed to obtain So that the adjusted The output value is within the range (0,1); set up The judgment thresholds are q1 and q2, respectively, and 0.35 < q1 < q2 < 0.71; Based on the "good" or "poor" rating of withstand voltage capability, The static load-bearing capacity of climbing protection equipment is assessed by comparing it with q1 and q2 to determine multiple levels. The higher the static load bearing capacity level, the better the static load bearing capacity of climbing protective equipment.

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