System accelerated verification test method

By collecting and recording the system's environmental, lighting and pressure change data, calculating the change index and setting thresholds, using the monitoring module to monitor in real time, the problem of difficulty in accurately simulating complex environmental conditions in the existing technology is solved, and more accurate system reliability assessment and fault reduction are achieved.

CN119692012AActive Publication Date: 2025-03-25SHANGLUO UNIV
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Patent Information

Application Number
CN202411757992.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-03
Publication Date
2025-03-25
Estimated Expiration
2044-12-03

AI Technical Summary

Technical Problem

Existing system accelerated verification methods are difficult to accurately simulate complex environmental conditions in the real world, resulting in differences in the test results and real usage, and cannot effectively reflect the complex interactions of multiple factors.

Method used

By collecting the original performance parameters of the system, adjusting and recording the environment, lighting, pressure change values ​​and corresponding performance parameter data, calculating the environment, lighting, and pressure change index, setting the threshold for factors affecting them, and using the monitoring module to monitor and alert in real time.

Benefits of technology

It achieves rapid evaluation of the reliability level of the product under different environmental conditions, accurately simulates complex conditions, reflects multi-factor interactions, and timely reduces the occurrence of system failures.

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Abstract

The invention relates to the technical field of system accelerated verification, and discloses a system accelerated verification test method, which comprises the following steps of: 1, acquiring original performance parameters of a system to form an original performance parameter data set; 2, adjusting an environment value in a test environment, and recording and numbering the environment value; 3, adjusting the illumination intensity value in the test environment, and recording and numbering; 4, adjusting the pressure value in the test environment, and recording and numbering; 5, calculating an environment change index according to the environment related data; step 6, calculating an illumination change index Gb according to the illumination related data; 7, calculating a pressure change index Yb according to the pressure related data; and step 8, according to the environment change index Hb, the illumination change index Gb and the pressure change index Yb, setting system corresponding factor influence thresholds, meanwhile, setting a monitoring module to monitor each factor, and giving a system alarm when the factors exceed the thresholds.
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Description

Technical Field

[0001] The present invention relates to the technical field of system acceleration verification, and in particular to a system acceleration verification test method. Background Art

[0002] System acceleration verification is a method that accelerates the product failure process by strengthening the test conditions without changing the product failure mechanism, so as to evaluate the reliability or life indicators of the product under normal conditions in a shorter time. System acceleration verification aims to accelerate the degradation process of the system by applying stress conditions that are more severe than the actual working environment, so as to evaluate its long-term reliability in a shorter time. This method helps to quickly identify the cause of product failure, quickly assess the reliability indicators of the product, and then optimize product design and improve product quality and reliability. System acceleration verification has a wide range of applications in many fields, such as automotive electronics, aerospace, and communication equipment. With the continuous advancement of technology, the system acceleration verification method will be more perfect, providing more powerful support for product design and quality control. At the same time, with the development of big data and artificial intelligence technology, the future system acceleration verification will be more intelligent and automated, improving test efficiency and accuracy. System acceleration verification is an effective reliability assessment method. Through reasonable test design, strict test implementation and scientific data analysis, the potential failure mode of the system can be discovered, the design can be optimized, and the overall reliability of the product can be improved.

[0003] Accelerated testing is usually conducted in a controlled environment. Real-world environmental conditions often influence each other, and there may be situations where the complex conditions in the real world cannot be fully simulated, resulting in differences in test results and actual usage conditions, and failure to reflect the true complex interactions of multiple factors. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a system accelerated verification test method, which has the advantages of being able to quickly evaluate the reliability level of a product under different environmental conditions, while more accurately simulating the complex conditions in the real world, and being able to reflect the complex interactions of multiple factors under the changes of multiple factors, thereby timely and effectively reducing the occurrence of system failures.

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

[0006] Step 1: Collect the original performance parameters of the system and form an original performance parameter data set after numbering;

[0007] Step 2: Adjust the environmental values ​​in the test environment, and record and number the environmental change values ​​and the environmental change performance parameter data under the corresponding circumstances;

[0008] Step 3: Adjust the light intensity value in the test environment, and record and number the light intensity change value and the light change performance parameter data under the corresponding situation;

[0009] Step 4: Adjust the pressure value in the test environment, and record and number the pressure change value and the pressure change performance parameter data under the corresponding situation;

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

[0011] Step 6: Calculate the illumination change index Gb based on the illumination intensity change value and illumination change performance parameter data:

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

[0013] Step 8: Set the thresholds of the corresponding factors affecting the system according to the environment change index Hb, the light change index Gb, and the pressure change index Yb. At the same time, set the monitoring module to monitor each factor and issue a system alarm when the threshold is exceeded.

[0014] Preferably, in step one, the numbering of the original performance parameter data set is: XN=(XTxy, XTcl, XTtt, XTjd), wherein XTxy, XTcl, XTtt, XTjd in the numbering of the original performance parameter data set respectively correspond to the system response time, system processing efficiency, data throughput, and system accuracy in the original performance parameter data set.

[0015] Preferably, in step 2, the record number of the environmental change value is: Wherein, w represents the temperature value in the environmental value, s represents the humidity value in the environmental value, Hj1~Hjn represent the 1st to nth values ​​in the corresponding environmental changes, n represents that there are n recorded environmental change values, and the record numbers of the environmental change performance parameter data are: Xh1, Xh2, Xh3, ..., Xh n , the Xh1~Xh n Respectively The recording time and the number of recording times correspond.

[0016] Preferably, in step 3, the record number of the light intensity change value is: Wherein, t represents the illumination time in the illumination value, q represents the illumination intensity in the illumination value, Gz1~Gzn represent the 1st to nth values ​​in the corresponding illumination intensity change, n represents that there are n recorded environmental change values, and the recording number of the illumination change performance parameter data is: Xg1, Xg2, Xg3, ..., Xgn , the Xg1~Xg n Respectively The recording time and the number of recording times correspond.

[0017] Preferably, in step 4, the record numbers of the pressure change values ​​are: Yl1, Yl2, Yl3, ..., Yl n , among which, Yl1~Yl n They represent the first and last pressure values ​​in the pressure change value, respectively. n represents that there are n recorded pressure change values. The record numbers of the pressure change performance parameter data are: Xy1, Xy2, Xy3, ..., Xy n , the Xy1~Xy n Respectively with Yl1~Yl y The recording time and the number of recording times correspond.

[0018] Preferably, in step 5, the calculation formula of the environmental change index Hb is as follows:

[0019]

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

[0021] Preferably, in step 6, the calculation formula of the illumination variation index Gb is as follows:

[0022]

[0023] In the above formula, Represents the i-th light intensity change value, Xg i Represents the ith illumination change performance parameter data corresponding to the ith illumination intensity change value, Xg i -XN represents the difference between the illumination change performance parameter data and the original performance parameter data. All the values ​​in the record number of the illumination intensity change value are converted into the illumination change index Gb. The largest value in the illumination change index Gb is extracted and marked as Gb. max .

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

[0025]

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

[0027] Preferably, in step eight, the system corresponding factor impact threshold is set as follows: Hb max Set as the environmental factor threshold, Gb max Set as the illumination factor threshold, Yb max Set as stress factor threshold.

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

[0029] A1. Connect the ambient temperature and humidity monitor to monitor the environmental factors under the system operation state. max sound an alarm;

[0030] A2. Connect a light sensor to monitor the light factors when the system is running. max sound an alarm;

[0031] A3. Connect the pressure sensor to monitor the pressure factors under the system operation state. max Sound the alarm.

[0032] Compared with the prior art, the present invention provides a system acceleration verification test method, which has the following beneficial effects:

[0033] 1. The present invention simulates different environmental, illumination, and pressure changes by respectively recording numbered environmental change values, environmental change performance parameter data, illumination intensity change values, illumination change performance parameter data, pressure change values, and pressure change performance parameter data. It can quickly evaluate the reliability level of a product under different environmental conditions, more accurately simulate the complex conditions in the real world, and reflect the complex interactions of multiple factors under changes in multiple factors.

[0034] 2. The present invention calculates the environmental change index Hb, the illumination change index Gb, and the pressure change index Yb to accurately predict the system's tolerance under various factors, identify possible bottlenecks, and then sets the corresponding factor impact thresholds according to the corresponding calculation results. The monitoring module is used to monitor the change values ​​of the corresponding factors, thereby timely and effectively reducing the occurrence of system failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a step diagram of the method of the present invention; DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] See also Figure 1 , a system acceleration verification test method, comprising the following steps:

[0038] Step 1: Collect the original performance parameters of the system and form an original performance parameter data set after numbering;

[0039] The serial number of the original performance parameter data set is: XN=(XTxy, XTcl, XTtt, XTjd), where XTxy, XTcl, XTtt, and XTjd in the serial number of the original performance parameter data set correspond to the system response time, system processing efficiency, data throughput, and system accuracy in the original performance parameter data set, respectively;

[0040] Step 2: Adjust the environmental values ​​in the test environment, and record and number the environmental change values ​​and the environmental change performance parameter data under the corresponding circumstances;

[0041] The record number of the environmental change value is: Wherein, w represents the temperature value in the environmental value, s represents the humidity value in the environmental value, Hj1~Hjn represent the 1st to nth values ​​in the corresponding environmental changes, n represents that there are n recorded environmental change values, and the record numbers of the environmental change performance parameter data are: Xh1, Xh2, Xh3, ..., Xh n, and the Xh1~Xh n Respectively The recording time and the number of recordings correspond;

[0042] Step 3: Adjust the light intensity value in the test environment, and record and number the light intensity change value and the light change performance parameter data under the corresponding situation;

[0043] The record number of the light intensity change value is: Wherein, t represents the illumination time in the illumination value, q represents the illumination intensity in the illumination value, Gz1~Gzn represent the 1st to nth values ​​in the corresponding illumination intensity change, n represents that there are n recorded environmental change values, and the recording number of the illumination change performance parameter data is: Xg1, Xg2, Xg3, ..., Xg n , the Xg1~Xg n Respectively The recording time and the number of recordings correspond;

[0044] Step 4: Adjust the pressure value in the test environment, and record and number the pressure change value and the pressure change performance parameter data under the corresponding situation;

[0045] The record numbers of the pressure change values ​​are: Yl1, Yl2, Yl3, ..., Yl n , among which, Yl1~Yl n They represent the first and last pressure values ​​in the pressure change value, respectively. n represents that there are n recorded pressure change values. The record numbers of the pressure change performance parameter data are: Xy1, Xy2, Xy3, ..., Xy n , the Xy1~Xy n Respectively with Yl1~Yl y The recording time and the number of recordings correspond;

[0046] By recording the numbered 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, it is possible to simulate different environmental, light, and pressure changes, and quickly evaluate the reliability level of the product under different environmental conditions. At the same time, it can more accurately simulate the complex conditions in the real world and reflect the complex interactions of multiple factors under the changes of multiple factors.

[0047] Step 5: Calculate the environmental change index Hb according to the environmental change value and the environmental change performance parameter data;

[0048] The calculation formula of environmental change index Hb is as follows:

[0049]

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

[0051] Step 6: Calculate the illumination change index Gb according to the illumination intensity change value and the illumination change performance parameter data;

[0052] The calculation formula of the light change index Gb is as follows:

[0053]

[0054] In the above formula, Represents the i-th light intensity change value, Xg i Represents the ith illumination change performance parameter data corresponding to the ith illumination intensity change value, Xg i -XN represents the difference between the illumination change performance parameter data and the original performance parameter data. All the values ​​in the record number of the illumination intensity change value are converted into the illumination change index Gb. The largest value in the illumination change index Gb is extracted and marked as Gb. max ;

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

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

[0057]

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

[0059] Step 8: Set the threshold of the corresponding factors affecting the system according to the environment change index Hb, the light change index Gb, and the pressure change index Yb.

[0060] The setting method of the threshold of the corresponding factors affecting the system is as follows: max Set as the environmental factor threshold, Gb max Set as the illumination factor threshold, Yb max Set as stress factor threshold;

[0061] Set up monitoring modules to monitor various factors and issue system alarms when thresholds are exceeded;

[0062] The monitoring module is set up as follows:

[0063] A1. Connect the ambient temperature and humidity monitor to monitor the environmental factors under the system operation state. max sound an alarm;

[0064] A2. Connect a light sensor to monitor the light factors when the system is running. max sound an alarm;

[0065] A3. Connect the pressure sensor to monitor the pressure factors under the system operation state. max sound an alarm;

[0066] By calculating the environmental change index Hb, the illumination change index Gb, and the pressure change index Yb, we can accurately predict the system's tolerance under various factors, identify possible bottlenecks, and then set the corresponding factor impact thresholds based on the corresponding calculation results. The monitoring module is used to monitor the change values ​​of the corresponding factors, thereby reducing the occurrence of system failures in a timely and effective manner.

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

Claims

1. A system acceleration verification test method, characterized in that: The following steps are involved: Step 1: Collect the original performance parameters of the system and form an original performance parameter data set after numbering; Step 2: Adjust the environmental values ​​in the test environment, and record and number the environmental change values ​​and the environmental change performance parameter data under the corresponding circumstances; Step 3: Adjust the light intensity value in the test environment, and record and number the light intensity change value and the light change performance parameter data under the corresponding situation; Step 4: Adjust the pressure value in the test environment, and record and number the pressure change value and the pressure change performance parameter data under the corresponding situation; Step 5: Calculate the environmental change index Hb according to the environmental change value and the environmental change performance parameter data; Step 6: Calculate the illumination change index Gb according to the illumination intensity change value and the illumination change performance parameter data; Step 7: Calculate the pressure change index Yb according to the pressure change value and the pressure change performance parameter data; Step 8: Set the thresholds of the corresponding factors affecting the system according to the environment change index Hb, the light change index Gb, and the pressure change index Yb. At the same time, set the monitoring module to monitor each factor and issue a system alarm when the threshold is exceeded.

2. A system acceleration verification test method according to claim 1, characterized in that: In the step 1, the numbering of the original performance parameter data set is: XN=(XTxy, XTcl, XTtt, XTjd), where XTxy, XTcl, XTtt, and XTjd in the numbering of the original performance parameter data set respectively correspond to the system response time, system processing efficiency, data throughput, and system accuracy in the original performance parameter data set.

3. A system acceleration verification test method according to claim 2, characterized in that: In step 2, the record number of the environmental change value is: Wherein, w represents the temperature value in the environmental value, s represents the humidity value in the environmental value, Hj1~Hjn represent the 1st to nth values ​​in the corresponding environmental changes, n represents that there are n recorded environmental change values, and the record numbers of the environmental change performance parameter data are: Xh1, Xh2, Xh3, .., Xh n , the Xh1~Xh n Respectively The recording time and the number of recording times correspond.

4. A system acceleration verification test method according to claim 3, characterized in that: In step 3, the record number of the light intensity change value is: Wherein, t represents the illumination time in the illumination value, q represents the illumination intensity in the illumination value, Gz1~Gzn represent the 1st to nth values ​​in the corresponding illumination intensity change, n represents that there are n recorded environmental change values, and the recording numbers of the illumination change performance parameter data are: Xg1, Xg2, Xg3, .., Xg n , the Xg1~Xg n Respectively The recording time and the number of recording times correspond.

5. A system acceleration verification test method according to claim 4, characterized in that: In step 4, the record numbers of the pressure change values ​​are: Yl1, Yl2, Yl3, . . . , Xl n , among which, Yl1~Yl n They represent the first and last pressure values ​​in the pressure change value, respectively. n represents that there are n recorded pressure change values. The record numbers of the pressure change performance parameter data are: Xy1, Xy2, Xy3, . . . , Xy n , the Xy1~Xy n Respectively with Yl1~Yl y The recording time and the number of recording times correspond.

6. A system acceleration verification test method according to claim 5, characterized in that: In step 5, the calculation formula of the environmental change index Hb is as follows: In the above formula, represents the i-th environmental change value, Xh i represents the i-th environmental change performance parameter data corresponding to the i-th environmental change value, Xh i -XN represents the difference between the environmental change performance parameter data and the original performance parameter data. All values ​​in the record number of the environmental change value are converted into the environmental change index Hb. The maximum value of the environmental change index Hb is extracted and marked as Hb. max .

7. A system acceleration verification test method according to claim 6, characterized in that: In step 6, the calculation formula of the illumination change index Gb is as follows: In the above formula, Represents the i-th light intensity change value, Xg i Represents the ith illumination change performance parameter data corresponding to the ith illumination intensity change value, Xg i -XN represents the difference between the illumination change performance parameter data and the original performance parameter data. All the values ​​in the record number of the illumination intensity change value are converted into the illumination change index Gb. The largest value in the illumination change index Gb is extracted and marked as Gb. max .

8. A system acceleration verification test method according to claim 7, characterized in that: In step 7, the pressure change index Yb is calculated as follows: In the above formula, Yl i represents the ith pressure change value, Xy i represents the ith pressure change performance parameter data corresponding to the ith pressure change value, Xy i -XN represents the difference between the pressure change performance parameter data and the original performance parameter data. All the values ​​in the record number of the pressure change value are converted into the pressure change index Yb. The largest value in the pressure change index Yb is extracted and marked as Yb. max .

9. A system acceleration verification test method according to claim 8, characterized in that: In step eight, the system corresponding factor impact threshold is set as follows: Hb max Set as the environmental factor threshold, Gb max Set as the illumination factor threshold, Yb max Set as stress factor threshold.

10. A system acceleration verification test method according to claim 9, characterized in that: In step eight, the monitoring module is set as follows: A1. Connect the ambient temperature and humidity monitor to monitor the environmental factors under the system operation state. max sound an alarm; A2. Connect a light sensor to monitor the light factors when the system is running. max sound an alarm; A3. Connect the pressure sensor to monitor the pressure factors under the system operation state. max Sound the alarm.

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