Method, system and equipment for testing explosion shock wave resistance of protective door and medium

Abstract

The invention relates to the technical field of protection door testing, in particular to a method, a system and equipment for testing explosion shock wave resistance of a protection door and a medium. The method comprises the following steps: firstly, receiving position information of a to-be-tested protective door and a chemical explosive, confirming a test preparation state, and activating and verifying a connection state of a plurality of sensors arranged on the to-be-tested protective door when confirmation is completed; after the connection of all the sensors is verified to be correct, a detonation signal is sent to the chemical explosive, and chemical explosion shock waves are triggered; processing the original measurement data by using a preset abnormal value screening model, and filling data vacancy by adopting an interpolation method; finally, converting the processed chemical explosion shock wave load data into equivalent nuclear explosion shock wave load data by applying a preset conversion algorithm; the data quality is improved, and equivalent conversion from chemical explosion to nuclear explosion is realized, so that the nuclear explosion resistance of the protective door can be accurately evaluated under the condition that an actual nuclear explosion test is not carried out.

Description

Technical Field

[0001] The present application relates to the technical field of protective door testing, and in particular to a method, system, equipment and medium for testing the protection door against explosion shock waves. Background Art

[0002] In the field of security protection, protective doors are an important part of key facilities, and their explosion-proof performance is directly related to the safety of personnel and equipment. Nuclear explosion resistance is an important function of protective doors, and its performance evaluation is also particularly important.

[0003] At present, common methods for evaluating the explosion-proof performance of protective doors include numerical simulation and chemical explosion tests. Numerical simulation predicts the performance of protective doors through computer modeling and simulation, while chemical explosion tests test the explosion-proof ability of protective doors through actual explosions; among them, numerical simulation has low cost and strong repeatability, while chemical explosion tests can provide a more realistic test environment.

[0004] However, numerical simulations are difficult to fully simulate the complexity of actual explosion environments, and the results may deviate from the actual situation. Although chemical explosion tests are closer to actual conditions, the shock waves they produce differ in characteristics from nuclear explosion shock waves, making them difficult to be directly used to evaluate the nuclear explosion resistance of protective doors. In addition, due to the complexity and instantaneous nature of the explosion environment, the measurement process often faces challenges such as data anomalies and missing data, which often lead to deviations in the evaluation results. This situation needs to be further improved. Summary of the invention

[0005] In order to solve the problem of deviation in the evaluation results of the existing protection door anti-nuclear explosion performance test, the present application provides a testing method, system, equipment and medium for the protection door anti-explosion shock wave, which adopts the following technical solutions: In a first aspect, the present application provides a method for testing the resistance of a protective door to explosion shock waves, comprising the following steps: Receive the location information of the protective doors and chemical explosives to be tested that have been installed at the test site, and confirm the test preparation status; When confirming that the test preparation is complete, activating and verifying the connection status of multiple sensors arranged on the protective door to be tested; after verifying that all sensors are correctly connected, sending a detonation signal to the chemical explosive to trigger a chemical explosion shock wave; Recording the measurement data of each sensor during the explosion process, inputting the measurement data into a preset outlier screening model for processing, and using an interpolation method to fill in data gaps to obtain processed chemical explosion shock wave load data; The chemical explosion shock wave load data is converted into equivalent nuclear explosion shock wave load data by applying a preset conversion algorithm; based on the equivalent nuclear explosion shock wave load data, the nuclear explosion resistance performance of the protective door is evaluated and a performance evaluation report is generated.

[0006] By adopting the above technical scheme, due to the limitations of actual nuclear explosion tests, chemical explosion tests are usually used to simulate the nuclear explosion effects, and then an equivalent conversion is performed. In this case, if the measurement data generated by the chemical explosion has outliers and data gaps, the data quality is poor, and the result deviation is greater after the conversion; for example, in a certain explosion-proof test of a protective door, the pressure sensor has abnormal readings due to instantaneous overload, while the acceleration sensor has data loss due to signal interruption; the present application first uses a preset outlier screening model to process the original measurement data, and then uses an interpolation method to fill the data gaps; finally, a preset conversion algorithm is applied to convert the processed chemical explosion shock wave load data into equivalent nuclear explosion shock wave load data; not only the data quality is improved, but also the equivalent conversion from chemical explosion to nuclear explosion is realized, so that the nuclear explosion resistance of the protective door can be accurately evaluated without conducting an actual nuclear explosion test.

[0007] Optionally, the sensor includes a pressure sensor, a strain sensor and an acceleration sensor, and the process of establishing the abnormal value screening model includes the following steps: Collect historical test data of pressure sensors, strain sensors and acceleration sensors respectively; Based on the historical test data, characteristic parameters of various sensors are extracted, and corresponding initial abnormal value determination thresholds are set according to the characteristic parameters of various sensors; Calculate the correlation coefficient matrix between characteristic parameters of different types of sensors; Based on the initial outlier determination threshold and the correlation coefficient matrix, an outlier screening model is established.

[0008] By adopting the above technical scheme, the sensors include pressure sensors, strain sensors and acceleration sensors. Since different types of sensors exhibit different characteristics and response modes in an explosive environment, it is difficult to identify and process them using a unified standard. The present application establishes an outlier screening model that comprehensively considers the characteristics of different sensors and their interrelationships. First, historical test data of pressure sensors, strain sensors and acceleration sensors are collected respectively, and characteristic parameters of each type of sensor are extracted. Based on the characteristic parameters, corresponding initial outlier judgment thresholds are set respectively, and then the correlation coefficient matrix between the characteristic parameters of different types of sensors is calculated to establish an outlier screening model, which can achieve more intelligent and accurate outlier identification.

[0009] Optionally, interpolation methods are used to fill in data gaps, including the following steps: Determine the time coordinate of the data gap to be processed, select N valid data points before and after the data gap, and obtain time-data pairs, 3≤N≤7; Inputting the time-data pair into a preset response model, calculating the theoretical prediction value and the allowable deviation range of the data gap, and obtaining a reference interval for interpolation constraints; Constructing an adaptive weight interpolation function based on the time-data pair, wherein the interpolation weight is dynamically adjusted based on the time interval between data points to obtain an interpolation function suitable for current data features; Calculating the initial interpolation result of the data gap using the interpolation function, and comparing it with the reference interval, and adopting the initial interpolation result if the initial interpolation result falls within the reference interval; If the initial interpolation result exceeds the reference interval, the weight parameters in the adaptive weight interpolation function are adjusted based on the degree of deviation, and the interpolation result is recalculated.

[0010] By adopting the above technical solution, due to the complexity and transient nature of the explosion shock wave, traditional linear interpolation or simple curve fitting methods often cannot accurately capture the characteristics of data changes; for example, in a certain explosion-proof test of a protective door, the acceleration sensor experienced a brief data loss near the peak of the shock wave. When the conventional interpolation method is used to fill these data points, it is unable to accurately reflect the rapid change characteristics of the shock wave, resulting in the peak being underestimated or the waveform being distorted; the present application first determines the time coordinates of the data gap to be processed, selects N valid data points before and after the data gap, obtains the time-data pair, and inputs the time-data pair into the preset response model , calculate the theoretical prediction value and allowable deviation range of the data gap, and obtain the reference interval for interpolation constraints; then construct an adaptive weight interpolation function based on the time-data pair, in which the interpolation weight is dynamically adjusted based on the time interval between data points, and obtain an interpolation function suitable for the current data characteristics. The interpolation function is used to calculate the initial interpolation result of the data gap, and it is compared with the reference interval. If the initial interpolation result falls within the reference interval, the result is adopted; if the initial interpolation result exceeds the reference interval, the weight parameter in the adaptive weight interpolation function is adjusted based on the degree of deviation, and the interpolation result is recalculated, which can improve the accuracy of interpolation.

[0011] Optionally, applying a preset conversion algorithm to convert the chemical explosion shock wave load data into equivalent nuclear explosion shock wave load data specifically includes the following steps: Performing dynamic analysis on the structure of the protective door to be tested, obtaining the fundamental frequency and main vibration direction of the door latch, and determining the dynamic characteristic parameters of the structure; Based on the dynamic characteristic parameters, the chemical explosion test data is spectrally analyzed to obtain a strain amplitude distribution curve and determine the frequency spectrum characteristics of the chemical explosion load; According to the frequency spectrum characteristics, a mathematical model of the shock wave response of chemical explosion and nuclear explosion is established based on the DuHamel integration method, and a calculation formula for the structural response is obtained; By using the structural response calculation formula, the chemical explosion load data and the ideal nuclear explosion load data are numerically calculated respectively to obtain the dynamic response curves of the structure under the two loads; Based on the dynamic response curve, the maximum response values ​​of the structure under the chemical explosion and ideal nuclear explosion loads are compared, the equivalent nuclear explosion shock wave load intensity is evaluated, and the equivalent evaluation result of the protective door's anti-nuclear explosion performance is obtained.

[0012] By adopting the above technical scheme, the present application first performs a dynamic analysis on the structure of the protective door to be tested, obtains the fundamental frequency and main vibration direction of the door latch, determines the dynamic characteristic parameters of the structure, and performs spectral analysis on the chemical explosion test data based on the dynamic characteristic parameters to obtain the strain amplitude distribution curve and determine the frequency spectrum characteristics of the chemical explosion load; then, according to the frequency spectrum characteristics, a mathematical model of the chemical explosion and nuclear explosion shock wave response is established based on the DuHamel integration method to obtain a structural response calculation formula, and the structural response calculation formula is used to perform numerical calculations on the chemical explosion load data and the ideal nuclear explosion load data, respectively, to obtain the dynamic response curve of the structure under the two loads; finally, based on the dynamic response curve, the maximum response value of the structure under the chemical explosion and ideal nuclear explosion loads is compared, the equivalent nuclear explosion shock wave load intensity is evaluated, and the equivalent evaluation result of the protective door's anti-nuclear explosion performance is obtained; the structural dynamic analysis, spectral analysis technology and DuHamel integration method are combined to realize the conversion of chemical explosion test data into equivalent nuclear explosion data.

[0013] Optionally, the method further comprises the following steps: Using historical nuclear explosion test data, the equivalent evaluation results are cross-validated to obtain preliminary validation results; According to the preliminary verification result, the error between the equivalent evaluation result and the reference data is calculated to obtain error analysis data; based on the error analysis data, a correction model is established to obtain a correction function of the equivalent evaluation result; The equivalent evaluation result is calibrated according to the correction function to obtain a calibrated equivalent evaluation result.

[0014] By adopting the above technical scheme, due to the scarcity and difficulty in obtaining nuclear explosion test data, the equivalent evaluation results obtained by only relying on the conversion of theoretical models and chemical explosion test data may have certain errors and uncertainties; the present application uses historical nuclear explosion test data to cross-validate the equivalent evaluation results to obtain preliminary verification results, and based on the preliminary verification results, calculates the error between the equivalent evaluation results and the reference data to obtain error analysis data; then, based on the error analysis data, establishes a correction model to obtain a correction function for the equivalent evaluation results, and calibrates the equivalent evaluation results according to the correction function to obtain a calibrated equivalent evaluation result; and can learn and adapt to new data inputs to continuously improve evaluation accuracy.

[0015] Optionally, evaluating the nuclear explosion resistance performance of the protective door according to the equivalent nuclear explosion shock wave load data and generating a performance evaluation report specifically includes the following steps: According to the equivalent nuclear explosion shock wave load data, the stress and deformation of the target structural components of the protection door are calculated to obtain the structural response index; Comparing the structural response index with a preset safety threshold, evaluating the overall structural integrity of the protective door, and obtaining a structural safety assessment result; Analyze the stress of each connection part of the protective door under the action of the shock wave, evaluate the sealing performance of the protective door, and obtain the sealing performance evaluation results; According to the expected protection level requirements of the protective door, the structural safety assessment results and the sealing performance assessment results are comprehensively considered to obtain the nuclear explosion resistance performance level of the protective door; The structural response indicators, structural safety assessment results, sealing performance assessment results and nuclear explosion resistance performance levels are integrated to prepare a performance assessment report.

[0016] By adopting the above-mentioned technical solution, this application constructs a multi-dimensional evaluation system, combines the equivalent nuclear explosion shock wave load data, comprehensively analyzes the structural response, safety and sealing performance of the protective door, and comprehensively considers the expected protection level. Finally, a detailed performance evaluation report is generated, which can provide clear direction guidance for the design optimization and performance improvement of the protective door, thereby improving the reliability and effectiveness of the overall protection system.

[0017] In a second aspect, the present application provides a testing system for protecting a protective door from explosion shock waves, comprising: The preparation status confirmation module is used to receive the location information of the protective door and chemical explosives to be tested that have been installed in the test site and confirm the test preparation status; A connection status verification module, used to activate and verify the connection status of multiple sensors arranged on the protective door when confirming that the test preparation is completed, wherein the sensors include a pressure sensor, a strain sensor and an acceleration sensor; The explosion shock wave trigger module is used to send a detonation signal to the chemical explosives to trigger the chemical explosion shock wave after verifying that all sensors are connected correctly; A chemical explosion data acquisition module is used to record the measurement data of each sensor during the explosion process, input the measurement data into a preset outlier screening model for processing, and use an interpolation method to fill in data gaps to obtain processed chemical explosion shock wave load data; An equivalent nuclear explosion data acquisition module, used to convert the chemical explosion shock wave load data into equivalent nuclear explosion shock wave load data by applying a preset conversion algorithm; The performance evaluation report generation module is used to evaluate the anti-nuclear explosion performance of the protective door according to the equivalent nuclear explosion shock wave load data and generate a performance evaluation report.

[0018] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned method for testing the protection door against explosion shock waves when executing the computer program.

[0019] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-mentioned method for testing the protection door against explosion shock waves.

[0020] In summary, the present application includes at least one of the following beneficial technical effects: 1. This application first uses a preset outlier screening model to process the original measurement data, and then uses an interpolation method to fill in the data gaps; finally, a preset conversion algorithm is applied to convert the processed chemical explosion shock wave load data into equivalent nuclear explosion shock wave load data; this not only improves the data quality, but also realizes the equivalent conversion from chemical explosion to nuclear explosion, so that the nuclear explosion resistance performance of the protective door can be accurately evaluated without conducting an actual nuclear explosion test; 2. This application establishes an outlier screening model that comprehensively considers the characteristics of different sensors and their interrelationships; first, the historical test data of pressure sensors, strain sensors and acceleration sensors are collected respectively, and the characteristic parameters of each type of sensor are extracted. Based on the characteristic parameters, the corresponding initial outlier judgment thresholds are set respectively, and then the correlation coefficient matrix between the characteristic parameters of different types of sensors is calculated to establish an outlier screening model, which can achieve more intelligent and accurate outlier identification; 3. The present application first determines the time coordinates of the data gap to be processed, selects N valid data points before and after the data gap to obtain a time-data pair, inputs the time-data pair into a preset response model, calculates the theoretical prediction value and allowable deviation range of the data gap, and obtains a reference interval for interpolation constraints; then, an adaptive weight interpolation function is constructed according to the time-data pair, in which the interpolation weight is dynamically adjusted based on the time interval between the data points, and an interpolation function suitable for the current data characteristics is obtained. The interpolation function is used to calculate the initial interpolation result of the data gap, and it is compared with the reference interval. If the initial interpolation result falls within the reference interval, the result is adopted; if the initial interpolation result exceeds the reference interval, the weight parameter in the adaptive weight interpolation function is adjusted based on the degree of deviation, and the interpolation result is recalculated, which can improve the accuracy of the interpolation. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1It is a flow chart of a method for testing the explosion shock wave resistance of a protective door according to an embodiment of the present application; Figure 2 It is a flow chart of establishing an outlier screening model in a testing method for a protective door against explosion shock waves in an embodiment of the present application; Figure 3 It is a flow chart of interpolating and filling data in a method for testing the protection door against explosion shock waves according to an embodiment of the present application; Figure 4 It is a flow chart of step S150 in a method for testing the resistance of a protective door to explosion shock waves according to an embodiment of the present application; Figure 5 It is a flow chart of correcting equivalent evaluation results in a test method for a protective door against explosion shock waves according to an embodiment of the present application; Figure 6 It is a flow chart of step S160 in a method for testing the resistance of a protective door to explosion shock waves according to an embodiment of the present application; Figure 7 It is a module schematic diagram of a testing system for a protective door against explosion shock waves according to an embodiment of the present application; Figure 8 It is a diagram of the internal structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0023] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0024] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0025] In the first aspect, the present application provides a method for testing the resistance of a protective door to explosion shock waves, referring to Figure 1 , including the following steps: S110, receiving the location information of the protective door and chemical explosives to be tested that have been installed at the test site, and confirming the test preparation status.

[0026] Among them, the installation position of the protective door to be tested and the arrangement position of the chemical explosives are determined according to the preset test plan.

[0027] Specifically, the chemical explosion test of the protective door is carried out in the test tunnel. During the test in the tunnel, the shock wave propagates in one dimension, the amount of explosives used is small, and the site maintenance and management after the test is convenient. The charging position is set in front of the door, and the specific distance from the door can be determined according to the simulation calculation results, and the shock wave is required to have a certain positive pressure action time.

[0028] S120. When it is confirmed that the test preparation is complete, activate and verify the connection status of multiple sensors arranged on the protective door to be tested.

[0029] In this embodiment, the sensor types include pressure sensors, strain sensors, acceleration sensors, displacement sensors, and the like.

[0030] Specifically, the sensor's measurement signal lines are all set behind the door. Pressure sensors are arranged at multiple key points on the surface of the protective door to measure the pressure distribution of the shock wave. Strain sensors are installed on the main structural components of the protective door to measure local strain. Acceleration sensors are installed at the center and edge of the protective door to measure the overall motion characteristics. For example, 20 pressure sensors can be evenly arranged on the surface of the protective door, 5 strain sensors can be installed on the main beam and column, and 1 acceleration sensor can be installed at the center and four corners of the door panel. The connection status of the sensor is automatically detected by the data acquisition system to ensure that all sensors are in normal working condition.

[0031] S130. After verifying that all sensors are correctly connected, a detonation signal is sent to the chemical explosive to trigger a chemical explosion shock wave.

[0032] The detonation signal is sent by remote control to ensure the safety of the operator. In this embodiment, an encrypted wireless signal is used as the detonation trigger mechanism to prevent accidental detonation or external interference.

[0033] Specifically, the detonation system includes a remote control console, a signal transmitter, a signal receiver, and an electronic detonator. The control console is set up in a command center at a safe distance, and the operator sends an encrypted detonation command through the console. The signal transmitter converts the command into a wireless signal and sends it out. After the signal receiver receives the correct decrypted signal, it triggers the electronic detonator to detonate the chemical explosive.

[0034] S140, recording the measurement data of each sensor during the explosion process, inputting the measurement data into a preset outlier screening model for processing, and using an interpolation method to fill in data gaps to obtain processed chemical explosion shock wave load data.

[0035] The measurement data is recorded using a high-speed data acquisition system to capture the transient response during the explosion. In this embodiment, the outlier screening model is used to identify and remove obviously unreasonable data points.

[0036] Specifically, the sampling frequency of the data acquisition system is set to 100kHz to ensure that the rapid changes of shock waves can be accurately captured. The outlier screening model uses an improved 3 sigma rule combined with physical constraints. For example, for pressure data, data points that exceed the range of plus or minus 3 standard deviations of the mean value or have negative values ​​are considered outliers. For data gaps that occur, cubic spline interpolation is used to fill them. For example, if at a certain point in time, 2 of the 20 pressure sensors are missing data, the missing data values ​​are calculated by cubic spline interpolation using the pressure data of adjacent time points and adjacent spatial positions.

[0037] S150. Apply a preset conversion algorithm to convert the chemical explosion shock wave load data into equivalent nuclear explosion shock wave load data.

[0038] Specifically, under the action of shock wave load, the maximum response of the structure will be reached in a very short time. Before that, the damping force has no time to absorb more energy from the structure. Therefore, for the protective door leaf structure subjected to shock wave load, compared with the periodic or resonant load, damping is less important in controlling the maximum response of the structure. Therefore, this application uses the DuHamel integration method of the undamped system to conduct a comparative analysis of the structural response of chemical explosion loads and nuclear explosion loads.

[0039] S160. Evaluate the nuclear explosion resistance of the protective door based on the equivalent nuclear explosion shock wave load data and generate a performance evaluation report.

[0040] Among them, the evaluation of anti-nuclear explosion performance is based on comprehensive consideration of multiple indicators, including structural integrity, airtightness, and retention of protective functions.

[0041] Specifically, the evaluation index system includes primary and secondary indicators. The primary indicators include structural response, sealing performance and functional retention; the secondary indicators include maximum stress, maximum deformation, airtightness, locking mechanism integrity, etc. The weight of each indicator is determined by expert scoring, and then the specific value of each indicator is calculated based on the equivalent nuclear explosion shock wave load data.

[0042] In one embodiment, the sensor includes a pressure sensor, a strain sensor and an acceleration sensor. Figure 2In step S140, the process of establishing the outlier screening model includes the following steps: S210, collecting historical test data of the pressure sensor, strain sensor and acceleration sensor respectively.

[0043] Among them, the collection of historical test data covers the results of multiple explosion-proof tests of protective doors, including data under different equivalents, different distances and different environmental conditions.

[0044] Specifically, the collection process of historical test data includes data extraction, cleaning and standardization. For example, for pressure sensors, the collected data includes peak pressure, positive phase duration, pressure-time curve, etc.; for strain sensors, the collected data includes maximum strain, strain-time curve, etc.; for acceleration sensors, the collected data includes maximum acceleration, acceleration-time curve, etc. During the data cleaning process, obviously erroneous data points are removed, such as abnormal readings caused by sensor failure. Data standardization processing includes unit unification, time synchronization, etc. to ensure the comparability of different test data.

[0045] S220: Extract characteristic parameters of various sensors based on historical test data, and set corresponding initial abnormal value determination thresholds according to the characteristic parameters of various sensors.

[0046] Specifically, for pressure sensors, the extracted characteristic parameters include peak pressure, positive phase duration, pressure rise rate, etc.; for strain sensors, the extracted characteristic parameters include maximum strain, strain rate, residual strain, etc.; for acceleration sensors, the extracted characteristic parameters include maximum acceleration, acceleration duration, frequency characteristics, etc. The setting of the initial outlier judgment threshold is based on statistical analysis. For example, the 3 sigma rule can be used to treat data that exceeds the range of plus or minus 3 standard deviations of the mean as potential outliers. For pressure sensors, the outlier judgment threshold of the peak pressure is set to plus or minus 3 standard deviations of the mean of historical data; for strain sensors, the outlier judgment threshold of the maximum strain is set to plus or minus 3 standard deviations of the mean of historical data; for acceleration sensors, the outlier judgment threshold of the maximum acceleration is set to plus or minus 3 standard deviations of the mean of historical data.

[0047] S230: Calculate the correlation coefficient matrix between characteristic parameters of sensors of different types.

[0048] Specifically, the characteristic parameters of various sensors are first organized into a multidimensional data matrix, where each row represents a test and each column represents a characteristic parameter. Then, the correlation coefficient between any two characteristic parameters is calculated to form a symmetrical correlation coefficient matrix. The range of the correlation coefficient is between -1 and 1, and the closer the absolute value is to 1, the stronger the correlation is.

[0049] S240: Establish an outlier screening model based on the initial outlier determination threshold and the correlation coefficient matrix.

[0050] Specifically, the outlier screening model includes two levels of judgment mechanisms. The first level judges each characteristic parameter separately based on the initial outlier judgment threshold. For example, if the peak pressure of a pressure sensor exceeds the preset threshold range, it is marked as a potential outlier. The second level uses the correlation coefficient matrix for cross-validation. For data points marked as potential outliers, check whether other parameters that are highly correlated with them also show abnormalities. If multiple related parameters show abnormalities, the possibility of the data point being judged as abnormal increases. The final outlier judgment adopts a weighted scoring system, which comprehensively considers the degree of abnormality of a single parameter and the consistency of related parameters.

[0051] In one embodiment, referring to Figure 3 In step S140, the data gaps are filled using an interpolation method, which specifically includes the following steps: S310, determine the time coordinate of the data gap to be processed, select N valid data points before and after the data gap, and obtain a time-data pair.

[0052] Among them, 3≤N≤7, the time coordinate of the data gap is determined by the timestamp of the data acquisition system. In this embodiment, the value of N is dynamically adjusted according to the sampling frequency of the data and the change characteristics of the data near the gap to ensure that the selected data points can fully reflect the local data characteristics.

[0053] S320, input the time-data pair into a preset response model, calculate the theoretical prediction value and allowable deviation range of the data gap, and obtain a reference interval for interpolation constraints.

[0054] In this embodiment, different response models are used for different types of sensor data.

[0055] Specifically, for pressure sensor data, the modified Friedlander equation is used as the response model; for strain sensor data, the elastic-plastic response model is used; for acceleration sensor data, the damped vibration model is used. The equation parameters are determined by curve fitting the selected time-data pairs, and then the theoretical prediction values ​​of the data gaps are calculated. The allowable deviation range can be set to ±10% of the theoretical prediction value.

[0056] S330, constructing an adaptive weight interpolation function according to the time-data pair.

[0057] Among them, the interpolation weight is dynamically adjusted based on the time interval between data points to obtain an interpolation function suitable for the current data characteristics.

[0058] The purpose of the adaptive weight interpolation function is to better reflect local data characteristics while maintaining data continuity. In this embodiment, an improved inverse distance weighted interpolation method is used, in which the weight is not only related to the time interval, but also to the reliability and representativeness of the data points.

[0059] S340, using the interpolation function to calculate the initial interpolation result of the data gap, and compare it with the reference interval. If the initial interpolation result falls within the reference interval, the initial interpolation result is adopted.

[0060] Specifically, the interpolation function parameters initially set are used to calculate the value of the data gap, and then compared with the reference interval. If the initial interpolation result falls within the reference interval, the result is directly adopted.

[0061] S350: If the initial interpolation result exceeds the reference interval, the weight parameters in the adaptive weight interpolation function are adjusted based on the degree of deviation, and the interpolation result is recalculated.

[0062] Specifically, first calculate the deviation between the initial interpolation result and the center value of the reference interval, and determine the adjustment strategy based on the direction and size of the deviation. For example, if the interpolation result is higher than the upper limit of the reference interval, appropriately increase the weight of the data points that are farther away, and reduce the weight of the data points that are closer. The adjustment range can be proportional to the deviation. The larger the deviation, the larger the adjustment range.

[0063] In one embodiment, referring to Figure 4 In step S150, a preset conversion algorithm is applied to convert the chemical explosion shock wave load data into equivalent nuclear explosion shock wave load data, which specifically includes the following steps: S410. Perform dynamic analysis on the structure of the protective door to be tested, obtain the fundamental frequency and main vibration direction of the door latch, and determine the dynamic characteristic parameters of the structure.

[0064] Specifically, the geometric model of the protective door is established, and appropriate meshing and material property settings are performed. The main modes are extracted through modal analysis to determine the fundamental frequency and main vibration mode of the door bolt. At the same time, the basic dynamic parameters of the structure, such as stiffness and mass distribution, are calculated.

[0065] S420. Based on the dynamic characteristic parameters, perform spectrum analysis on the chemical explosion test data to obtain a strain amplitude distribution curve and determine the frequency spectrum characteristics of the chemical explosion load.

[0066] Among them, the spectrum analysis uses fast Fourier transform to analyze the strain data of the bolt position.

[0067] Specifically, the test data is preprocessed and then analyzed by fast Fourier transform to obtain the distribution curve of strain amplitude with frequency. The main peak frequency is identified and compared with the structural characteristic frequency. The basic statistical characteristics of the spectrum, such as the root mean square frequency, are calculated to describe the spectrum characteristics of the chemical explosion load.

[0068] S430. According to the frequency spectrum characteristics and based on the DuHamel integration method, a mathematical model of the shock wave response of chemical explosion and nuclear explosion is established to obtain a calculation formula for the structural response.

[0069] S440. Using the structural response calculation formula, numerical calculations are performed on the chemical explosion load data and the ideal nuclear explosion load data respectively to obtain the dynamic response curves of the structure under the two loads.

[0070] Specifically, the response calculation formula is discretized and an appropriate time step is set. Chemical explosion test data and standard nuclear explosion pressure-time curve are used as inputs for numerical integration calculations. The displacement, velocity and acceleration curves of the bolt position over time are obtained, and the maximum response value is recorded.

[0071] S450. Based on the dynamic response curve, the maximum response values ​​of the structure under the action of chemical explosion and ideal nuclear explosion loads are compared, the equivalent nuclear explosion shock wave load intensity is evaluated, and the equivalent evaluation results of the protective door's anti-nuclear explosion performance are obtained.

[0072] Further, see Figure 5 , the method further comprises the following steps: S510. Use historical nuclear explosion test data to cross-validate the equivalent evaluation results and obtain preliminary verification results.

[0073] In this embodiment, historical nuclear explosion test cases with structures similar to the protective door to be tested are selected for comparative analysis.

[0074] Specifically, a historical nuclear explosion test database is established in advance, which contains nuclear explosion effect data at different equivalents and different distances. Cases with similar structural characteristics to the protective door to be tested are selected, such as protective facilities with similar parameters such as door material, thickness, and size. For the selected historical cases, their actual response data in the nuclear explosion test are extracted, such as maximum deformation, peak acceleration, etc. Then, these measured data are compared with the equivalent evaluation results obtained in step S450.

[0075] S520. According to the preliminary verification result, the error between the equivalent evaluation result and the reference data is calculated to obtain error analysis data.

[0076] Specifically, the preliminary verification results are classified according to key parameters such as nuclear explosion equivalent and distance. For each type of data, the absolute error and relative error between the equivalent evaluation results and the historical test data are calculated. Error distribution diagrams are drawn, such as error-equivalent relationship diagrams, error-distance relationship diagrams, etc. Regression analysis methods are used to fit the relationship curves between errors and various parameters.

[0077] S530: Based on the error analysis data, a correction model is established to obtain a correction function of an equivalent evaluation result.

[0078] Among them, the establishment of the correction model adopts regression analysis and machine learning methods. S540: Calibrate the equivalent evaluation result according to the correction function to obtain a calibrated equivalent evaluation result.

[0079] Further, see Figure 6 In step S160, the anti-nuclear explosion performance of the protective door is evaluated according to the equivalent nuclear explosion shock wave load data, and a performance evaluation report is generated, which specifically includes the following steps: S610. Calculate the stress and deformation of the target structural components of the protective door according to the equivalent nuclear explosion shock wave load data to obtain the structural response index.

[0080] S620. Compare the structural response index with a preset safety threshold, evaluate the overall structural integrity of the protective door, and obtain a structural safety assessment result.

[0081] S630. Analyze the stress conditions of the connection parts of the protective door under the action of the shock wave, evaluate the sealing performance of the protective door, and obtain the sealing performance evaluation result.

[0082] S640. Based on the expected protection level requirements of the protective door, the structural safety assessment results and the sealing performance assessment results are comprehensively considered to determine the nuclear explosion resistance performance level of the protective door.

[0083] S650, integrate structural response indicators, structural safety assessment results, sealing performance assessment results and nuclear explosion resistance performance level, and prepare a performance assessment report.

[0084] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0085] In a second aspect, the present application provides a testing system for a protective door against explosion shock waves. The testing system for a protective door against explosion shock waves of the present application is described below in conjunction with the above-mentioned testing method for a protective door against explosion shock waves.

[0086] Reference Figure 7, a test system for protecting doors against explosion shock waves, comprising: The preparation status confirmation module is used to receive the location information of the protective door and chemical explosives to be tested that have been installed in the test site and confirm the test preparation status; A connection status verification module, used to activate and verify the connection status of multiple sensors arranged on the protective door when confirming that the test preparation is completed, wherein the sensors include a pressure sensor, a strain sensor and an acceleration sensor; The explosion shock wave trigger module is used to send a detonation signal to the chemical explosives to trigger the chemical explosion shock wave after verifying that all sensors are connected correctly; The chemical explosion data acquisition module is used to record the measurement data of each sensor during the explosion process, input the measurement data into a preset outlier screening model for processing, and use the interpolation method to fill in the data gaps to obtain the processed chemical explosion shock wave load data; An equivalent nuclear explosion data acquisition module is used to convert chemical explosion shock wave load data into equivalent nuclear explosion shock wave load data by applying a preset conversion algorithm; The performance evaluation report generation module is used to evaluate the nuclear explosion resistance of the protective door based on the equivalent nuclear explosion shock wave load data and generate a performance evaluation report.

[0087] In one embodiment, the present application provides an electronic device, which may be a server, and its internal structure diagram may be as follows: Figure 8 As shown. The electronic device includes a processor, a memory and a network interface connected through a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a test method for the protection door against explosion shock waves is implemented.

[0088] Those skilled in the art will understand that Figure 8 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0089] In one embodiment, an electronic device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0090] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the above-mentioned computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0091] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for testing the explosion shock wave resistance of a protective door, characterized in that: The steps include: Receive the location information of the protective doors and chemical explosives to be tested that have been installed at the test site, and confirm the test preparation status; When confirming that the test preparation is complete, activating and verifying the connection status of multiple sensors arranged on the protective door to be tested; After verifying that all sensors are connected correctly, a detonation signal is sent to the chemical explosives to trigger the chemical explosion shock wave; Recording the measurement data of each sensor during the explosion process, inputting the measurement data into a preset outlier screening model for processing, and using an interpolation method to fill in data gaps to obtain processed chemical explosion shock wave load data; Applying a preset conversion algorithm to convert the chemical explosion shock wave load data into equivalent nuclear explosion shock wave load data; Based on the equivalent nuclear explosion shock wave load data, the nuclear explosion resistance of the protective door is evaluated and a performance evaluation report is generated.

2. The method for testing the explosion shock wave resistance of protective doors according to claim 1, characterized in that: The sensors include pressure sensors, strain sensors and acceleration sensors. The process of establishing the abnormal value screening model includes the following steps: collecting historical test data of the pressure sensor, strain sensor and acceleration sensor respectively; Based on the historical test data, characteristic parameters of various sensors are extracted, and corresponding initial abnormal value determination thresholds are set according to the characteristic parameters of various sensors; Calculate the correlation coefficient matrix between characteristic parameters of different types of sensors; Based on the initial outlier determination threshold and the correlation coefficient matrix, an outlier screening model is established.

3. The method for testing the explosion shock wave resistance of protective doors according to claim 2, characterized in that: Use interpolation to fill in data gaps, which includes the following steps: Determine the time coordinate of the data gap to be processed, select N valid data points before and after the data gap, and obtain time-data pairs, 3≤N≤7; Inputting the time-data pair into a preset response model, calculating the theoretical prediction value and the allowable deviation range of the data gap, and obtaining a reference interval for interpolation constraints; Constructing an adaptive weight interpolation function based on the time-data pair, wherein the interpolation weight is dynamically adjusted based on the time interval between data points to obtain an interpolation function suitable for current data features; Calculating the initial interpolation result of the data gap using the interpolation function, and comparing it with the reference interval, and adopting the initial interpolation result if the initial interpolation result falls within the reference interval; If the initial interpolation result exceeds the reference interval, the weight parameters in the adaptive weight interpolation function are adjusted based on the degree of deviation, and the interpolation result is recalculated.

4. The method for testing the explosion shock wave resistance of protective doors according to claim 1, characterized in that: The chemical explosion shock wave load data is converted into equivalent nuclear explosion shock wave load data by applying a preset conversion algorithm, specifically comprising the following steps: performing a dynamic analysis on the structure of the protective door to be tested, obtaining the fundamental frequency and main vibration direction of the door latch, and determining the dynamic characteristic parameters of the structure; Based on the dynamic characteristic parameters, the chemical explosion test data is spectrally analyzed to obtain a strain amplitude distribution curve and determine the frequency spectrum characteristics of the chemical explosion load; According to the frequency spectrum characteristics, a mathematical model of the shock wave response of chemical explosion and nuclear explosion is established based on the DuHamel integration method, and a calculation formula for the structural response is obtained; By using the structural response calculation formula, the chemical explosion load data and the ideal nuclear explosion load data are numerically calculated respectively to obtain the dynamic response curves of the structure under the two loads; Based on the dynamic response curve, the maximum response values ​​of the structure under the chemical explosion and ideal nuclear explosion loads are compared, the equivalent nuclear explosion shock wave load intensity is evaluated, and the equivalent evaluation result of the protective door's anti-nuclear explosion performance is obtained.

5. The method for testing the explosion shock wave resistance of protective doors according to claim 4, characterized in that: The method further comprises the steps of: Using historical nuclear explosion test data, the equivalent evaluation results are cross-validated to obtain preliminary validation results; According to the preliminary verification result, the error between the equivalent evaluation result and the reference data is calculated to obtain error analysis data; Based on the error analysis data, a correction model is established to obtain a correction function of an equivalent evaluation result; The equivalent evaluation result is calibrated according to the correction function to obtain a calibrated equivalent evaluation result.

6. The method for testing the explosion shock wave resistance of protective doors according to claim 1, characterized in that: According to the equivalent nuclear explosion shock wave load data, the nuclear explosion resistance performance of the protective door is evaluated and a performance evaluation report is generated, which specifically includes the following steps: According to the equivalent nuclear explosion shock wave load data, the stress and deformation of the target structural components of the protection door are calculated to obtain the structural response index; Comparing the structural response index with a preset safety threshold, evaluating the overall structural integrity of the protective door, and obtaining a structural safety assessment result; Analyze the stress of each connection part of the protective door under the action of the shock wave, evaluate the sealing performance of the protective door, and obtain the sealing performance evaluation results; According to the expected protection level requirements of the protective door, the structural safety assessment results and the sealing performance assessment results are comprehensively considered to obtain the nuclear explosion resistance performance level of the protective door; The structural response indicators, structural safety assessment results, sealing performance assessment results and nuclear explosion resistance performance levels are integrated to prepare a performance assessment report.

7. A testing system for protecting doors against explosion shock waves, characterized in that: include: The preparation status confirmation module is used to receive the location information of the protective door and chemical explosives to be tested that have been installed in the test site and confirm the test preparation status; A connection status verification module, used to activate and verify the connection status of multiple sensors arranged on the protective door when confirming that the test preparation is completed, wherein the sensors include a pressure sensor, a strain sensor and an acceleration sensor; The explosion shock wave trigger module is used to send a detonation signal to the chemical explosives to trigger the chemical explosion shock wave after verifying that all sensors are connected correctly; A chemical explosion data acquisition module is used to record the measurement data of each sensor during the explosion process, input the measurement data into a preset outlier screening model for processing, and use an interpolation method to fill in data gaps to obtain processed chemical explosion shock wave load data; An equivalent nuclear explosion data acquisition module, used to convert the chemical explosion shock wave load data into equivalent nuclear explosion shock wave load data by applying a preset conversion algorithm; The performance evaluation report generation module is used to evaluate the anti-nuclear explosion performance of the protective door according to the equivalent nuclear explosion shock wave load data and generate a performance evaluation report.

8. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method for testing the protection door against explosion shock waves described in any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for testing the protection door against explosion shock waves described in any one of claims 1 to 6 are implemented.

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