Tool airtightness detection data intelligent analysis method and system

Abstract

The application relates to the technical field of air tightness detection, and specifically discloses a tool air tightness detection data intelligent analysis method and system, which comprises the following steps: collecting pressure, environmental temperature signals and time parameters in real time; performing dynamic temperature compensation on the pressure based on an ideal gas state equation and by introducing a temperature change rate to obtain compensated pressure values and compensation residuals; performing online verification on operation standardization based on the compensated pressure; calculating an equivalent pressure leakage rate, pressure curve nonlinearity and compensation residual fluctuation coefficient based on pressure maintaining stage data to obtain a comprehensive aging index for evaluating the state of a sealing element; calculating a leakage trend slope, a residual trend slope and a temperature change rate response consistency from historical data to obtain a comprehensive trend index for judging performance degradation; and outputting results and early warnings. Through multi-parameter fusion analysis, the application can realize high-precision temperature compensation, online quantitative evaluation of sealing element aging and early warning of performance degradation, reduces the misjudgment and omission rates, and supports predictive maintenance.

Claims

1. A method for intelligent analysis of tooling airtightness test data, characterized in that, Includes the following steps: The pressure signal and ambient temperature signal of the tested tooling are collected in real time during the airtightness test, and the test time parameter is recorded. Based on the ideal gas law, and by introducing the rate of temperature change to correct the theoretical temperature deviation, dynamic temperature compensation is performed on the pressure signal to obtain the compensated pressure value. Based on the compensated pressure value and the detection time parameter, the operational standardization of the inflation and pressure holding stages is verified online to determine whether the current detection is effective. The equivalent pressure leakage rate, pressure curve nonlinearity, and compensation residual fluctuation coefficient are calculated based on the compensated pressure value during the pressure holding stage. The comprehensive aging index is then obtained by integrating these factors, and the aging status assessment information of the seal is output. The equivalent pressure leakage rate, mean compensation residual, and temperature change rate of the tested tooling from the historical database are retrieved. The leakage trend slope, residual trend slope, and temperature change rate response consistency are calculated and integrated to obtain a comprehensive trend index to determine the performance degradation trend. Based on the operational compliance verification results, equivalent pressure leakage rate, comprehensive aging index, and comprehensive trend index, the final detection results and maintenance warning information are output according to the preset priority instructions.

2. The intelligent analysis method for tooling airtightness test data according to claim 1, characterized in that, The steps of real-time acquisition of pressure and ambient temperature signals during the airtightness testing of the tooling under test, and recording the testing time parameters, specifically include: Continuously acquire real-time pressure signals from the sealed cavity inside the tested tooling, as well as ambient temperature signals from the testing environment; Record the start time of the test. When the pressure signal collected in real time meets the preset stability conditions, record the end time of inflation. Calculate the end time of pressure holding based on the preset pressure holding time, and record the target inflation pressure value at the same time. At the start of the test, the initial pressure value and the initial ambient temperature value are recorded. The initial ambient temperature value is an absolute temperature and serves as the reference for temperature compensation.

3. The intelligent analysis method for tooling airtightness test data according to claim 1, characterized in that, The step of performing dynamic temperature compensation on the pressure signal to obtain the compensated pressure value specifically includes: Obtain the initial pressure and initial ambient temperature values ​​at the start of the detection; The theoretical temperature deviation is calculated based on the real-time ambient temperature and the initial ambient temperature value, using the ideal gas law. Calculate the rate of temperature change based on real-time ambient temperature signals; Obtain the pre-calibrated thermal inertia coefficient of the tooling, and calculate the temperature change rate correction term based on the temperature change rate; The compensated pressure value is obtained based on the real-time collected pressure signal, theoretical temperature deviation, and temperature change rate correction term. The compensation residual sequence is defined as the difference between the original pressure signal and the compensated pressure value, and is used for subsequent aging assessment and trend analysis.

4. The intelligent analysis method for tooling airtightness test data according to claim 1, characterized in that, The step of online verification of the operational compliance during the inflation and pressure holding stages, and determining the validity of the current detection, specifically includes: If the compensated pressure value is less than the preset inflation pressure threshold at the end of inflation, it is determined to be an underinflation abnormality and the current detection is marked as invalid. During the inflation phase, if the compensated pressure value exceeds the inflation target pressure value and the drop exceeds the preset overshoot threshold, it is determined to be an abnormal pressure overshoot and the current detection is marked as invalid. During the pressure holding phase, if the fluctuation of the compensated pressure value exceeds the preset stability threshold, it is determined to be an unstable pressure holding anomaly, and the current detection is marked as invalid. If any anomaly is detected, the subsequent process will terminate and an invalid detection message will be output.

5. The intelligent analysis method for tooling airtightness test data according to claim 1, characterized in that, The step of fusing the data to obtain a comprehensive aging index and outputting aging status assessment information for the seals specifically includes: Based on the compensated pressure values ​​at the start and end of the pressure holding period, the average pressure decay rate during the pressure holding phase is calculated to obtain the equivalent pressure leakage rate. Linear fitting is performed on the compensated pressure value sequence during the pressure holding stage, and the nonlinearity of the pressure curve is calculated based on the degree of deviation between the actual pressure value and the fitted value. Based on the compensation residual sequence during the pressure holding stage, the ratio of the standard deviation of the compensation residual sequence to the mean of the absolute values ​​is calculated to obtain the compensation residual fluctuation coefficient. The equivalent pressure leakage rate, pressure curve nonlinearity, and compensation residual fluctuation coefficient are weighted and fused to obtain the comprehensive aging index. Based on the comparison between the comprehensive aging index and multiple preset aging thresholds, the corresponding seal condition assessment information is output.

6. The intelligent analysis method for tooling airtightness test data according to claim 1, characterized in that, The step of obtaining a comprehensive trend index through fusion and determining the performance degradation trend specifically includes: The equivalent pressure leakage rate of each valid detection was retrieved from the historical database, and linear regression fitting was performed in chronological order to obtain the leakage trend slope. The mean residual value of the pressure holding stage compensation from each valid test was retrieved, and linear regression was performed in chronological order to obtain the slope of the residual trend. By retrieving the temperature change rate sequence and the compensation residual sequence of each valid test during the pressure holding stage, the correlation coefficient between the two is calculated to obtain the consistency of the temperature change rate response. The leakage trend slope, residual trend slope, and temperature change rate response consistency are weighted and fused to obtain a comprehensive trend index; If the comprehensive trend index is greater than the preset trend change threshold, it is determined that the performance degradation trend is rising.

7. The intelligent analysis method for tooling airtightness test data according to claim 1, characterized in that, The step of outputting the final detection result and maintenance warning information according to the preset priority instructions specifically includes: Obtain the operational compliance verification results, the currently detected equivalent pressure leakage rate, the comprehensive aging index, and the comprehensive trend index; The multiple evaluation results are arbitrated according to a preset priority order. Based on the result of the decision arbitration, a final detection conclusion is generated and output, which includes at least one of the following types: The system includes four types of alert messages: a first type indicating that the current test is invalid; a second type indicating that the current test is unqualified; a third type indicating that the current test is qualified but maintenance is recommended; and a fourth type indicating that the current test is qualified. When the third type of prompt information is output, the final detection conclusion is also accompanied by maintenance guidance information, which indicates at least one or more of the aging state or performance degradation trend of the seal.

8. An intelligent analysis system for tooling airtightness testing data, characterized in that, include: The data acquisition module is used to acquire pressure and ambient temperature signals in real time during the airtightness testing of the tooling under test, and to record the testing time parameters. The correction module is used to correct the theoretical temperature deviation based on the ideal gas law and by introducing the rate of temperature change, and to perform dynamic temperature compensation on the pressure signal to obtain the compensated pressure value. The online verification module is used to verify the operational standardization of the inflation and pressure holding stages based on the compensated pressure value and the detection time parameter, and to determine whether the current detection is effective. The first fusion module is used to calculate the equivalent pressure leakage rate, pressure curve nonlinearity and compensation residual fluctuation coefficient based on the compensated pressure value during the pressure holding stage, and fuse them to obtain the comprehensive aging index, and output the aging status assessment information of the seal. The second fusion module is used to retrieve the equivalent pressure leakage rate, the mean value of the compensation residual, and the temperature change rate of the tested tooling from the historical database, calculate the leakage trend slope, the residual trend slope, and the temperature change rate response consistency, and fuse them to obtain a comprehensive trend index to determine the performance degradation trend. The output module is used to output the final detection results and maintenance warning information based on the operation standardization verification results, equivalent pressure leakage rate, comprehensive aging index and comprehensive trend index, according to priority instructions.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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