Systematic acceleration verification test method

Abstract

The application relates to the technical field of system acceleration verification, and discloses a system acceleration verification test method, which comprises the following steps: step one, collecting original performance parameters of a system to form an original performance parameter data set; step two, adjusting and recording the environment value in a test environment; step three, adjusting and recording the illumination intensity value in the test environment; step four, adjusting and recording the pressure value in the test environment; step five, calculating an environment change index according to environment related data; step six, calculating an illumination change index Gb according to illumination related data; step seven, calculating a pressure change index Yb according to pressure related data; step eight, setting a system corresponding factor influence threshold value according to the environment change index Hb, the illumination change index Gb and the pressure change index Yb, and simultaneously setting a monitoring module to monitor each factor, and issuing a system alarm when the threshold value is exceeded.

Description

Technical Field

[0001] This invention relates to the field of system accelerated verification technology, specifically to a system accelerated verification test method. Background Technology

[0002] Accelerated system validation (AS / RS) is a method that accelerates the product failure process by intensifying test conditions without altering the product's failure mechanism. This allows for a faster assessment of a product's reliability or lifespan under normal conditions. AS / RS aims to accelerate the degradation process of a system by applying stress conditions more severe than those in the actual operating environment, thereby assessing its long-term reliability in a shorter time. This method helps to quickly identify the causes of product failures, rapidly evaluate product reliability indicators, and thus optimize product design, improving product quality and reliability. AS / RS has wide applications in various fields, such as automotive electronics, aerospace, and communication equipment. With continuous technological advancements, AS / RS methods will become more sophisticated, providing stronger support for product design and quality control. Furthermore, with the development of big data and artificial intelligence technologies, future AS / RS will become more intelligent and automated, improving testing efficiency and accuracy. AS / RS is an effective reliability assessment method. Through reasonable test design, rigorous test implementation, and scientific data analysis, it can discover potential failure modes of a system, optimize design, and improve the overall reliability of the product.

[0003] Accelerated testing is usually conducted in a controlled environment. Real-world environmental conditions often interact with each other, and there may be situations where the complex conditions in the real world cannot be fully simulated. This can lead to differences between test results and actual usage, and the test results may not reflect the real complex interactions of multiple factors. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a system accelerated verification test method that can quickly assess the reliability level of products under different environmental conditions, more accurately simulate complex conditions in the real world, reflect the complex interactions of multiple factors under changes in various factors, and effectively reduce the occurrence of system failures.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a system accelerated verification test method, comprising the following steps:

[0006] Step 1: Collect the system's raw performance parameters, number them, and form a raw performance parameter dataset;

[0007] Step 2: Adjust the environmental values ​​in the test environment, and record and number the environmental changes and the corresponding environmental performance parameters.

[0008] Step 3: Adjust the light intensity value in the test environment, and record and number the light intensity changes and the corresponding light change performance parameters.

[0009] Step 4: Adjust the pressure values ​​in the test environment, and record and number the pressure changes and the corresponding pressure change performance parameters.

[0010] Step 5: Calculate the environmental change index Hb based on environmental change values ​​and environmental change performance parameter data.

[0011] Step 6: Calculate the light intensity variation index (Gb) based on the light intensity variation value and light variation performance parameter data.

[0012] Step 7: Calculate the pressure change index Yb based on the pressure change value and pressure change performance parameter data;

[0013] Step 8: Set the corresponding impact thresholds for the system based on the environmental change index Hb, light change index Gb, and pressure change index Yb. At the same time, set up a monitoring module to monitor each factor and issue a system alarm if the threshold is exceeded.

[0014] Preferably, in step one, the original performance parameter dataset is numbered as follows: XN = (XTxy, XTcl, XTtt, XTjd), where XTxy, XTcl, XTtt, and XTjd correspond to the system response time, system processing efficiency, data throughput, and system accuracy in the original performance parameter dataset, respectively.

[0015] Preferably, in step two, the record number of the environmental change value is: Where w represents the temperature value in the environmental data, s represents the humidity value in the environmental data, Hj1 to Hjn represent the first to nth values ​​in the corresponding environmental changes, and n represents the number of recorded environmental change values. The record numbers of the environmental change performance parameter data are: Xh1, Xh2, Xh3, ..., Xh n Xh1~Xh n respectively with Record the time and the number of times.

[0016] Preferably, in step three, the record number for the change in light intensity is: Where t represents the illumination time in the illumination value, q represents the illumination intensity in the illumination value, Gz1~Gzn represent the first to nth values ​​in the corresponding illumination intensity changes, n represents the number of recorded environmental change values, and the record numbers of the illumination change performance parameter data are: Xg1, Xg2, Xg3, ..., Xgn Xg1~Xg n respectively with Record the time and the number of times.

[0017] Preferably, in step four, the recorded pressure change values ​​are numbered as follows: Yl1, Yl2, Yl3, ..., Yl n Among them, Yl1~Yl n These represent the first and last pressure values ​​in the pressure change data, respectively. 'n' represents the number of recorded pressure change values. The record numbers for the pressure change performance parameter data are: Xy1, Xy2, Xy3, ..., Xy... n Xy1~Xy n Respectively with Yl1~Yl y Record the time and the number of times.

[0018] Preferably, in step five, the formula for calculating the environmental change index Hb is as follows:

[0019]

[0020] In the above formula, Xh represents the i-th environmental change value. i Xh represents the performance parameter data of the i-th environmental change corresponding to the i-th environmental change value. i -XN represents the difference between the environmental change performance parameter data and the original performance parameter data. All values ​​in the record numbering of the environmental change values ​​are calculated using the environmental change index Hb, and the largest value of the environmental change index Hb is extracted and marked as Hb. max .

[0021] Preferably, in step six, the formula for calculating the light variation index Gb is as follows:

[0022]

[0023] In the above formula, Xg represents the i-th change in light intensity. i Xg represents the i-th performance parameter data corresponding to the i-th change in light intensity. i -XN represents the difference between the performance parameter data for light intensity variation and the original performance parameter data. All values ​​in the record numbering of light intensity variation values ​​are calculated using the light intensity variation index Gb, and the largest value in the light intensity variation index Gb is extracted and marked as Gb. max .

[0024] Preferably, in step seven, the pressure change index Yb is calculated as follows:

[0025]

[0026] In the above formula, Yl i Xy represents the i-th pressure change value. i Xy represents the performance parameter data of the i-th pressure change corresponding to the i-th pressure change value. i -XN represents the difference between the pressure change performance parameter data and the original performance parameter data. All values ​​in the pressure change record number are calculated using the pressure change index Yb, and the largest value in the pressure change index Yb is marked as Yb. max .

[0027] Preferably, in step eight, the system sets the threshold for the influence of corresponding factors as follows: Hb max Set the environmental factor threshold to Gb max Set the light factor threshold to Yb max Set as the stress factor threshold.

[0028] Preferably, in step eight, the monitoring module is configured as follows:

[0029] A1. Connect an ambient temperature and humidity monitor to monitor environmental factors during system operation. If the humidity exceeds Hb... max Issue an alarm;

[0030] A2. Connect a light sensor to monitor the illumination factors during system operation, exceeding Gb max Issue an alarm;

[0031] A3. Connect a pressure sensor to monitor pressure factors during system operation; if the pressure exceeds Yb... max Issue an alarm.

[0032] Compared with existing technologies, the present invention provides a system accelerated verification test method, which has the following beneficial effects:

[0033] 1. This invention records the environmental change values ​​and environmental change performance parameter data, light intensity change values ​​and light change performance parameter data, pressure change values ​​and pressure change performance parameter data respectively, thereby simulating different environmental, light, and pressure changes. It can quickly assess the reliability level of products under different environmental conditions, more accurately simulate complex conditions in the real world, and reflect the complex interaction of multiple factors under the change of multiple factors.

[0034] 2. This invention accurately predicts the system's ability to withstand various factors by calculating the environmental change index Hb, the light change index Gb, and the pressure change index Yb, identifies potential bottlenecks, sets the corresponding factor impact thresholds based on the calculation results, and uses a monitoring module to monitor the changes in the corresponding factors, thereby reducing the occurrence of system failures in a timely and effective manner. Attached Figure Description

[0035] Figure 1 This is a diagram illustrating the steps of the method of the present invention; Detailed Implementation

[0036] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] Please see Figure 1 A method for accelerating system verification testing includes the following steps:

[0038] Step 1: Collect the system's raw performance parameters, number them, and form a raw performance parameter dataset;

[0039] The original performance parameter dataset is numbered as follows: XN = (XTxy, XTcl, XTtt, XTjd), where XTxy, XTcl, XTtt, and XTjd correspond to the system response time, system processing efficiency, data throughput, and system accuracy in the original performance parameter dataset, respectively.

[0040] Step 2: Adjust the environmental values ​​in the test environment, and record and number the environmental changes and the corresponding environmental performance parameters.

[0041] The record number for environmental change values ​​is: Where w represents the temperature value in the environmental data, s represents the humidity value in the environmental data, Hj1 to Hjn represent the first to nth values ​​in the corresponding environmental changes, and n represents the number of recorded environmental change values. The record numbers of the environmental change performance parameter data are: Xh1, Xh2, Xh3, ..., Xhn. n respectively with Record time and record frequency correspond;

[0042] Step 3: Adjust the light intensity value in the test environment, and record and number the light intensity changes and the corresponding light change performance parameters.

[0043] The record number for the change in light intensity is: Where t represents the illumination time in the illumination value, q represents the illumination intensity in the illumination value, Gz1~Gzn represent the first to nth values ​​in the corresponding illumination intensity changes, n represents the number of recorded environmental change values, and the record numbers of the illumination change performance parameter data are: Xg1, Xg2, Xg3, ..., Xg n Xg1~Xg n respectively with Record time and record frequency correspond;

[0044] Step 4: Adjust the pressure values ​​in the test environment, and record and number the pressure changes and the corresponding pressure change performance parameters.

[0045] The records of pressure change values ​​are numbered as follows: Yl1, Yl2, Yl3, ..., Yl n Among them, Yl1~Yl n These represent the first and last pressure values ​​in the pressure change data, respectively. 'n' represents the number of recorded pressure change values. The record numbers for the pressure change performance parameter data are: Xy1, Xy2, Xy3, ..., Xy... n Xy1~Xy n Respectively with Yl1~Yl y Record time and record frequency correspond;

[0046] By recording the environmental change values, environmental change performance parameter data, light intensity change values, light change performance parameter data, pressure change values, and pressure change performance parameter data respectively, different environmental, light, and pressure changes can be simulated. This allows for a rapid assessment of the product's reliability level under different environmental conditions, while more accurately simulating complex conditions in the real world and reflecting the complex interactions of multiple factors under various changes.

[0047] Step 5: Calculate the environmental change index Hb based on the environmental change values ​​and environmental change performance parameter data;

[0048] The formula for calculating the environmental change index Hb is as follows:

[0049]

[0050] In the above formula, Xh represents the i-th environmental change value. i Xh represents the performance parameter data of the i-th environmental change corresponding to the i-th environmental change value. i-XN represents the difference between the environmental change performance parameter data and the original performance parameter data. All values ​​in the record numbering of the environmental change values ​​are calculated using the environmental change index Hb, and the largest value of the environmental change index Hb is extracted and marked as Hb. max ;

[0051] Step 6: Calculate the light intensity variation index Gb based on the light intensity variation value and light variation performance parameter data;

[0052] The formula for calculating the light variation index Gb is as follows:

[0053]

[0054] In the above formula, Xg represents the i-th change in light intensity. i Xg represents the i-th performance parameter data corresponding to the i-th change in light intensity. i -XN represents the difference between the performance parameter data for light intensity variation and the original performance parameter data. All values ​​in the record numbering of light intensity variation values ​​are calculated using the light intensity variation index Gb, and the largest value in the light intensity variation index Gb is extracted and marked as Gb. max ;

[0055] Step 7: Calculate the pressure change index Yb based on the pressure change value and pressure change performance parameter data;

[0056] The pressure change index Yb is calculated as follows:

[0057]

[0058] In the above formula, Yl i Xy represents the i-th pressure change value. i Xy represents the performance parameter data of the i-th pressure change corresponding to the i-th pressure change value. i -XN represents the difference between the pressure change performance parameter data and the original performance parameter data. All values ​​in the pressure change record number are calculated using the pressure change index Yb, and the largest value in the pressure change index Yb is marked as Yb. max ;

[0059] Step 8: Set the system's corresponding factor influence thresholds based on the environmental change index Hb, light change index Gb, and pressure change index Yb.

[0060] The system sets the threshold for the influence of corresponding factors as follows: Hb max Set the environmental factor threshold to Gb max Set the light factor threshold to Yb max Set as the stress factor threshold;

[0061] The monitoring module is set up to monitor various factors and issue a system alarm when the threshold is exceeded;

[0062] The monitoring module is configured as follows:

[0063] A1. Connect an ambient temperature and humidity monitor to monitor environmental factors during system operation. If the humidity exceeds Hb... max Issue an alarm;

[0064] A2. Connect a light sensor to monitor the illumination factors during system operation, exceeding Gb max Issue an alarm;

[0065] A3. Connect a pressure sensor to monitor pressure factors during system operation; if the pressure exceeds Yb... max Issue an alarm;

[0066] By calculating the environmental change index Hb, the light change index Gb, and the pressure change index Yb, the system's ability to withstand various factors is accurately predicted, potential bottlenecks are identified, and the corresponding factor impact thresholds are set based on the calculation results. The monitoring module monitors the changes in the corresponding factors, thus reducing the occurrence of system failures in a timely and effective manner.

[0067] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for accelerating system verification testing, characterized in that, Includes the following steps: Step 1: Collect the system's raw performance parameters, number them, and form a raw performance parameter dataset; The original performance parameter dataset is numbered as follows: The original performance parameter dataset is numbered in These correspond to the system response time, system processing efficiency, data throughput, and system accuracy in the original performance parameter dataset, respectively. Step 2: Adjust the environmental values ​​in the test environment, and record and number the environmental changes and the corresponding environmental performance parameters. The record number for the environmental change value is: ,in, This represents the temperature value in the environmental data. This represents the humidity value in the environmental data. Representing the first to the second of the corresponding environmental changes A number, The environmental change values ​​that are recorded include The record number for the environmental change performance parameter data is: The respectively with Record time and record frequency correspond; Step 3: Adjust the light intensity value in the test environment, and record and number the changes in light intensity and the corresponding light change performance parameters. The record number for the change in light intensity is: ,in, This represents the duration of illumination in the light intensity value. Represents the light intensity in the illumination value. Representing the first to the second of the corresponding light intensity changes A number, The environmental change values ​​that are recorded include The record number of the light change performance parameter data is: The respectively with Record time and record frequency correspond; Step 4: Adjust the pressure values ​​in the test environment, and record and number the pressure changes and the corresponding pressure change performance parameters. The record number for the pressure change value is: ,in, These represent the first and last pressure values ​​in the pressure change data, respectively. The recorded pressure change values ​​are: The record number for the pressure change performance parameter data is: The respectively with Record time and record frequency correspond; Step 5: Calculate the environmental change index based on environmental change values ​​and environmental change performance parameter data. ; Environmental Change Index The calculation formula is as follows: In the above formula, Representing the Individual environmental change values, Representing the The first environmental change value corresponds to the first Data on environmental change performance parameters, The environmental change index represents the difference between the environmental change performance parameter data and the original performance parameter data. It is calculated by adding all values ​​from the record numbers of the environmental change values. Extracting environmental change index The largest numerical value is marked as ; Step 6: Calculate the light change index based on the light intensity change value and light change performance parameter data. ; Light variation index The calculation formula is as follows: In the above formula, Representing the Each change in light intensity value, Representing the The first value corresponding to the change in light intensity Data on performance parameters related to illumination changes. The light change index represents the difference between the performance parameter data and the original performance parameter data. It is calculated by adding all values ​​in the record number of the light intensity change values. Extracting the light change index The largest value in the middle is marked as ; Step 7: Calculate the pressure change index based on the pressure change value and pressure change performance parameter data. ; Pressure Change Index The calculation method is as follows: In the above formula, Representing the Each pressure change value, Representing the The first pressure change value corresponds to the first Data on pressure change performance parameters, The pressure change index represents the difference between the pressure change performance parameter data and the original performance parameter data. It is calculated by adding all values ​​in the record number of the pressure change value. Extract the pressure change index The largest value in the middle is marked as ; Step 8: Based on the environmental change index Light variation index Pressure Change Index Set the threshold values ​​for the factors that affect the system, and set up a monitoring module to monitor each factor. Issue a system alarm if the threshold value is exceeded.

2. The system accelerated verification test method according to claim 1, characterized in that: In step eight, the system sets the threshold for the influence of corresponding factors as follows: Set the environmental factor threshold to Set the light factor threshold to Set as the stress factor threshold.

3. The system accelerated verification test method according to claim 2, characterized in that: In step eight, the monitoring module is configured as follows: A1. Connect an ambient temperature and humidity monitor to monitor environmental factors during system operation. If the ambient temperature and humidity exceed... Issue an alarm; A2. Connect a light sensor to monitor the lighting conditions during system operation; if the light level exceeds a certain threshold... Issue an alarm; A3. Connect a pressure sensor to monitor pressure factors during system operation; if the pressure exceeds... Issue an alarm.

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