Electric control system health state assessment method based on Peck model

Abstract

The invention discloses an electric control system health state evaluation method based on a Peck model, and belongs to the technical field of electric control system reliability analysis. The method comprises the following steps: acquiring experimental data about electronic devices in the electronic control system; field operation of the electric control system is monitored, and operation data and environment data of the electric control system are collected; establishing an analysis database and a health state evaluation model, analyzing the influence weight of the temperature change and the humidity change on the service life of the electronic device under the ideal use condition, and analyzing the influence weight of the use frequency of the electronic device on the actual service life; predicting the remaining service life of the electronic device, and determining the health state evaluation value of the current electronic control system; the current electric control system is monitored, and whether health alarm needs to be carried out or not is judged; the accuracy of health state evaluation of the electronic control system is improved, the real-time health state of the electronic control system is reflected, and the product operation and maintenance capability of the electronic control system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of reliability analysis of electronic control systems, and specifically to a method for evaluating the health status of an electronic control system based on the Peck model. Background Art

[0002] An electronic control system often consists of multiple electronic devices, and has the characteristics of few monitoring means and insufficient input for state evaluation. Therefore, compared with traditional data-driven algorithms, an algorithm based on a physical model is more suitable for evaluating the health status of key devices; as an accelerated test model, the Peck model is mainly used to describe the combined effects of temperature and humidity on the reliability (especially the lifespan) of products. In a humid environment, due to the acceleration of chemical reactions and physical processes (such as corrosion, oxidation, etc.) inside electronic devices, the performance of electronic devices will decline and the lifespan will be shortened. By simulating the degradation process of the electronic control system at different temperatures and humidities, the Peck model can well help predict the remaining service life of electronic devices under normal conditions; however, the Peck model is mainly used for static evaluation of electronic control systems, but modern electronic control systems usually operate in a dynamic environment and require real-time monitoring and evaluation of their health status. The limitations of the Peck model result in its inability to accurately reflect the real-time health status of the electronic control system; and during the process of evaluating the health status of the electronic control system, the influence of other stress factors on the lifespan of electronic devices is often not considered, resulting in limited prediction accuracy. Summary of the Invention

[0003] The purpose of the present invention is to provide a method for evaluating the health status of an electronic control system based on the Peck model to solve the problems raised in the above background art.

[0004] To solve the above technical problems, the present invention provides the following technical solution: A method for evaluating the health status of an electronic control system based on the Peck model, the method comprising the following steps:

[0005] Step S1, perform an accelerated experiment on the electronic control system through the Peck model to obtain experimental data on the electronic devices in the electronic control system; the experimental data includes the service life of the electronic devices under ideal usage conditions;

[0006] Step S2, monitor the on-site operation of the electronic control system, and collect the operation data and environmental data of the electronic control system; the operation data includes the actual service life and usage frequency of the electronic devices; the environmental data includes the temperature change and humidity change around the electronic control system;

[0007] Step S3: Establish an analysis database, and store the operation data and environment data collected in Step S2 as historical data; according to the historical data stored in the analysis database and the experimental data obtained in Step S1, establish a health status evaluation model, analyze the influence weights of temperature change and humidity change on the service life of electronic devices under ideal usage conditions, and analyze the influence weight of the usage frequency of electronic devices on the actual service life;

[0008] Step S4: Update the historical operation data and historical environment data stored in the corresponding analysis database of the current electronic control system in real time, and predict the remaining service life of the electronic device according to the health status evaluation model established in Step S3; determine the health status evaluation value of the current electronic control system according to the predicted remaining service life of the electronic device;

[0009] Step S5: Determine the health alarm threshold of the electronic control system, monitor the current electronic control system according to the health status evaluation value of the current electronic control system, and judge whether a health alarm is needed; if an alarm is needed, send an alarm signal to the management personnel; if no alarm is needed, continue to monitor.

[0010] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: By establishing a health status evaluation model and analyzing the influence weights of temperature change, humidity change and usage frequency of electronic devices on the service life, it provides data support for subsequent evaluation of the health status of the electronic control system and improves the accuracy of the evaluation of the health status of the electronic control system; By determining the health status evaluation value of the current electronic control system according to the predicted remaining service life of the electronic device, combining the Peck model with the dynamic analysis results of the electronic device reflects the real-time health status of the electronic control system and improves the product operation and maintenance ability of the electronic control system. Description of the Drawings

[0011] Figure 1 is a step schematic diagram of the method for evaluating the health status of an electronic control system based on the Peck model of the present invention. Detailed Embodiment

[0012] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0013] The present invention combines the experimental data based on the Peck model with the real-time operation data and environmental data of the electronic control system, analyzes the influence of temperature change, humidity change and usage frequency of electronic devices on the service life, not only optimizes the real-time health status assessment of the Peck model in the electronic control system, but also takes the usage frequency of electronic devices as other stress factors into the assessment of the real-time health status of the electronic control system, so as to more accurately reflect the real-time health status of the electronic control system and help managers better maintain the electronic control system.

[0014] Please refer to Figure 1 , the present invention provides the following technical solutions:

[0015] Please refer to Figure 1 , in the first embodiment: a method for evaluating the health status of an electronic control system based on the Peck model is provided, and the method includes the following steps:

[0016] Step S1, perform an accelerated experiment on the electronic control system through the Peck model to obtain experimental data on the electronic devices in the electronic control system; the experimental data includes the service life of the electronic devices under ideal usage conditions.

[0017] It should be noted that the ideal usage conditions refer to the ideal usage temperature and humidity of the electronic devices. In this embodiment, the ideal usage temperature and humidity of the electronic devices are comprehensively judged through the temperature and humidity changes around the electronic control system; performing an accelerated experiment on the electronic control system is actually performing an accelerated experiment on the electronic devices inside the electronic control system, and by evaluating the service life of the electronic devices, the health status of the electronic control system is determined; in this embodiment, the monitored electronic devices are point-type electronic devices with relatively stable operating power in the electronic control system, including but not limited to relays and optocouplers.

[0018] In this embodiment, the method steps for performing an accelerated experiment on the electronic control system are: determining the activation energy E a of the electronic devices in the electronic control system, the Boltzmann constant k and the accelerated test humidity n; selecting the temperature T test and humidity RH test when performing an accelerated experiment on the electronic devices, placing the electronic devices in a thermostatic and humidistatic chamber for an accelerated experiment to determine the service life of the electronic devices under ideal usage conditions; calculating the acceleration factor AF according to the Peck model formula:

[0019]

[0020] where, RH use represents the humidity of the electronic devices under ideal usage conditions; T userepresents the temperature under the ideal usage conditions of the electronic device; wherein, the method steps for determining the service life of the electronic device under the ideal usage conditions are: determining the temperature and humidity during the acceleration experiment of the electronic device, and determining the test duration L when the electronic device fails test , according to the acceleration factor AF during the experiment of the electronic device, obtaining the service life L of the electronic device under the ideal usage conditions use : L use = AF·L test .

[0021] Step S2, monitor the on-site operation of the electronic control system, and collect the operation data and environmental data of the electronic control system; the operation data includes the actual service life and usage frequency of the electronic device; the environmental data includes the temperature change and humidity change around the electronic control system

[0022] Furthermore, deploy a number of temperature sensors and a number of humidity sensors around the electronic control system respectively; the temperature sensors are used to collect the temperature data around the electronic control system; the humidity sensors are used to collect the humidity data around the electronic control system; when collecting the environmental data of the electronic control system, analyze the temperature data collected by the number of temperature sensors and the humidity data collected by the number of humidity sensors respectively, and determine the temperature change around the electronic control system and the humidity change around the electronic control system respectively through the weighted fusion algorithm

[0023] It should be noted that when analyzing the temperature data collected by the number of temperature sensors, different weights are assigned to the temperature data according to the position information of each temperature sensor deployment, and the temperature around the electronic control system is obtained by cumulative averaging through the weighted fusion algorithm, so as to determine the temperature change around the electronic control system; similarly, determine the humidity change around the electronic control system; since the electronic control system is usually equipped with temperature and humidity sensors, the analyzed temperature change and humidity change around the electronic control system are used as the analysis data of the temperature change and humidity change of the electronic device, thus avoiding duplicate data collection

[0024] It should be noted that when the environmental change range is large, the high-temperature and high-humidity environment will accelerate the aging of the electronic device. At this time, the actual service life of the electronic device usually cannot reach the service life under the ideal usage conditions. By real-time monitoring the working conditions of the electronic device, it can better help the management personnel to determine the life of the electronic device and thus formulate a maintenance plan

[0025] It should be noted that record the time stamp when the electronic device is operating, and determine the usage frequency of the electronic device according to the time stamp when the electronic device is operating; in this implementation, the actual service life of the electronic device is the usage duration when the electronic device fails under natural aging conditions, without considering the electronic device failures caused by unexpected situations

[0026] Step S3: Establish an analysis database, and store the operation data and environment data collected in Step S2 as historical data; based on the historical data stored in the analysis database and the experimental data obtained in Step S1, establish a health status assessment model, analyze the influence weights of temperature change and humidity change on the service life of electronic devices under ideal usage conditions, and analyze the influence weight of the usage frequency of electronic devices on the actual service life;

[0027] Specifically, the method steps are as follows:

[0028] Step S31: Retrieve the historical operation data and historical environment data of the electronic devices under natural aging conditions from the analysis database for analysis; based on the historical operation data, obtain the actual service lives H 1 、H 2 、...、H m and usage frequencies P 1 、P 2 、...、P m of different electronic devices; where m represents the amount of historical operation data of different electronic devices analyzed; based on the historical environment data, obtain the temperature changes W 1,t 、W 2,t 、...、W m,t and humidity changes S 1,t 、S 2,t 、...、S m,t around the electronic control system at different times t for different electronic devices under their corresponding service lives and usage frequencies; based on the experimental data of the electronic devices in the electronic control system, determine the service life L use of the electronic devices under ideal usage conditions;

[0029] Among them, the actual service lives and usage frequencies of different electronic devices obtained from the historical operation data refer to the same type of electronic devices, and the same type is determined by the specifications and models of the electronic devices.

[0030] Step S32: Establish a health status assessment model, take the actual service life H of the electronic devices, the temperature changes W t and humidity changes S t at different times t as independent variables, and take the service life L use of the electronic devices under ideal usage conditions as the dependent variable, and analyze the influence weights of temperature change and humidity change on the service life of the electronic devices under ideal usage conditions; take the usage frequency P of the electronic devices as the independent variable and the actual service life H of the electronic devices as the dependent variable, and analyze the influence weight of the usage frequency of the electronic devices on the actual service life; according to the following conditional formula:

[0031]

[0032] Among them, both A and B represent constants; E a represents the activation energy of the electronic device; k represents the Boltzmann constant of the electronic device; n represents the humidity of the accelerated test of the electronic device; T use represents the temperature under the ideal usage conditions of the electronic device; RH use represents the humidity under the ideal usage conditions of the electronic device; α 1 represents the influence weight of temperature change on the service life of the electronic device under ideal usage conditions; α 2 represents the influence weight of humidity change on the service life of the electronic device under ideal usage conditions; β 2 represents the influence weight of the usage frequency of the electronic device on the actual service life;

[0033] Step S33: Substitute the historical operation data and the historical environmental data analysis results in Step S31 into the conditional formula in Step S32, and calculate the values of A, B, α 1 、α 2 and β 2 respectively.

[0034] It should be noted that the natural aging situation of the electronic device means not considering the failures of the electronic device caused by unexpected situations; since the point - type electronic device does not need to perform continuous operations, it is less affected by the actual working conditions. At this time, the main influence on the failure of the electronic device comes from the temperature and humidity changes in the external environment and its own usage frequency; in this implementation, H 1 、H 2 、...、H m are used as the analysis parameters of the actual service life H of the electronic device, P 1 、P 2 、...、P m are used as the analysis parameters of the usage frequency P of the electronic device, W 1,t 、W 2,t 、...、W m,t are used as the analysis parameters of the temperature change W t around the electronic control system at different times t, S 1,t 、S 2,t 、...、S m,t are used as the analysis parameters of the humidity change St around the electronic control system at different times t. Substitute them into the conditional formula for fitting calculation respectively to determine the values of A, B, α 1 、α 2 and β 2 respectively; among them, represents the influence degree of temperature and humidity on the performance degradation of the electronic device under actual use; The lower limit of the integral is the timestamp when the electronic device was first used; by establishing a health status evaluation model and analyzing the influence weights of the temperature change, humidity change, and usage frequency of the electronic device on its service life, it provides data support for the subsequent evaluation of the health status of the electronic control system and improves the accuracy of the health status evaluation of the electronic control system.

[0035] Step S4: Real-time update the historical operation data and historical environment data stored in the corresponding analysis database of the current electronic control system, and predict the remaining service life of the electronic device according to the health status evaluation model established in step S3; determine the health status evaluation value of the current electronic control system according to the predicted remaining service life of the electronic device.

[0036] Specifically, the method steps for predicting the remaining service life of the electronic device are as follows:

[0037] Step S41: Analyze the real-time updated historical operation data and historical environment data in the corresponding analysis database of the current electronic control system; determine the actual usage duration H 0 and usage frequency P 0 of the current electronic device according to the historical operation data of the current electronic control system; determine the actual usage duration H 0 and usage frequency P 0 of the current electronic device, and the temperature change W 0,t and humidity change S 0,t around the electronic control system at different times t according to the historical environment data of the current electronic control system;

[0038] Step S42: Predict the remaining service life of the electronic device according to the established health status evaluation model, the analysis results of the historical operation data and historical environment data in step S41, and according to the calculation formula:

[0039]

[0040] where X represents the predicted remaining service life of the electronic device.

[0041] It should be noted that the electronic control system includes trigger-type electronic devices and non-trigger-type electronic devices. In this implementation, steps S41 - S42 are the process of calculating the remaining service life of a single non-trigger-type electronic device. By predicting the remaining service life of each non-trigger-type electronic device, the health status of the electronic control system is evaluated according to the prediction results of the remaining service life of each non-trigger-type electronic device.

[0042] Specifically, the method for evaluating the health status of the current electronic control system is as follows: Determine the number Z of electronic devices participating in the health status evaluation of the current electronic control system; and respectively determine the remaining service life X 1 、X 2,..., X Z , assign the influence weight of the remaining service life of each electronic device on the health state of the current electronic control system, and obtain the health state evaluation value of the current electronic control system through weighting.

[0043] In one embodiment, the number of electronic devices participating in the health state evaluation of the current electronic control system is 1. At this time, the remaining service life of this electronic device is the health state evaluation value of the current electronic control system.

[0044] In another embodiment, the number of electronic devices participating in the health state evaluation of the current electronic control system is multiple. At this time, determine the remaining service life X of each electronic device respectively 1 , X 2 ,..., X Z , and assign the influence weight w of the remaining service life of each electronic device on the health state of the current electronic control system 1 , w 2 ,..., w Z , and obtain the health state evaluation value Q of the current electronic control system: where i = {1, 2, 3,..., Z}; w i represents the influence weight of the remaining service life of the i-th electronic device on the health state of the current electronic control system; Xi represents the remaining service life of the i-th electronic device; among them, the smaller the remaining service life of the electronic device, the greater the influence weight on the health state of the current electronic control system.

[0045] It should be noted that by predicting the remaining service life of the electronic device; according to the predicted remaining service life of the electronic device, determining the health state evaluation value of the current electronic control system, and combining the Peck model with the dynamic analysis results of the electronic device, it not only reflects the real-time health state of the electronic control system, but also improves the product operation and maintenance ability of the electronic control system.

[0046] Step S5, determine the health alarm threshold of the electronic control system, monitor the current electronic control system according to the health state evaluation value of the current electronic control system, and judge whether health alarm is needed; if alarm is needed, send an alarm signal to the management personnel; if alarm is not needed, continue to monitor.

[0047] Specifically, the method for monitoring the electronic control system and judging whether health alarm is needed is: determine the health alarm threshold K of the electronic control system, and determine the health state evaluation value Q of the current electronic control system; monitor the electronic control system and compare K with Q; when Q ≤ K, the current electronic control system needs to perform health alarm, and at this time, send an alarm signal to the management personnel; when Q > K, the current electronic control system does not need to perform health alarm, and continue to monitor.

[0048] Furthermore, a mobile interaction platform is provided, through which managers can assign weights to the influence of the remaining service life of each electronic device on the health status of the current electronic control system, determine the health alarm threshold of the electronic control system, and view the actual service life and usage frequency of the electronic device, the temperature change and humidity change around the electronic control system, the predicted remaining service life of the electronic device, and the health status evaluation value of the current electronic control system.

[0049] In this embodiment, when the current electronic control system issues a health alarm, an alarm signal is sent to the manager. The manager can view the remaining service life of each electronic device through the mobile interaction platform and find one or more electronic devices with insufficient remaining service life, which is convenient for the manager to go to the site for replacement, improving the product operation and maintenance ability of the electronic control system.

[0050] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. The health status assessment method of the electric control system based on the Peck model is characterized by: The method comprises the following steps: Step S1, performing an accelerated experiment on the electric control system through the Peck model to obtain experimental data on the electronic components in the electric control system; the experimental data includes the service life of the electronic components under ideal use conditions; Step S2, monitoring the on-site operation of the electric control system, collecting the operating data and environmental data of the electric control system; the operating data includes the actual service life and usage frequency of the electronic components; the environmental data includes the temperature change and humidity change around the electric control system; Step S3, establishing an analysis database, storing the operating data and environmental data collected in step S2 as historical data; establishing a health status assessment model based on the historical data stored in the analysis database and the experimental data obtained in step S1, analyzing the influence weight of temperature change and humidity change on the service life of electronic devices under ideal use conditions, and analyzing the influence weight of the use frequency of electronic devices on the actual service life; Step S4, updating the historical operation data and historical environment data stored in the corresponding analysis database of the current electric control system in real time, predicting the remaining service life of the electronic components according to the health status assessment model established in step S3; determining the health status assessment value of the current electric control system according to the predicted remaining service life of the electronic components; Step S5, determine the health alarm threshold of the electric control system, monitor the current electric control system according to the health status assessment value of the current electric control system, and determine whether a health alarm is required; if an alarm is required, send an alarm signal to the management personnel; if no alarm is required, continue monitoring.

2. The method for evaluating the health status of an electric control system based on the Peck model according to claim 1, characterized in that: A plurality of temperature sensors and a plurality of humidity sensors are respectively deployed around the electric control system; the temperature sensor is used to collect temperature data around the electric control system; the humidity sensor is used to collect humidity data around the electric control system; when collecting environmental data of the electric control system, the temperature data collected by the plurality of temperature sensors and the humidity data collected by the plurality of humidity sensors are analyzed respectively, and the temperature change around the electric control system and the humidity change around the electric control system are determined respectively through a weighted fusion algorithm.

3. The method for evaluating the health status of an electric control system based on the Peck model according to claim 2, characterized in that: The method steps of step S3 are: Step S31: retrieve historical operation data and historical environmental data of the electronic device under natural aging from the analysis database for analysis; obtain the actual service life H1, H2, ..., H1 of different electronic devices based on the historical operation data. m and the usage frequencies P1, P2, ..., P m ; Where m represents the amount of historical operating data of different electronic devices analyzed; Based on the historical environmental data, the ambient temperature change W of the electronic control system at different times t under the corresponding service life and usage frequency of different electronic devices is obtained 1,t , W 2,t , ..., W m,t and humidity changes S 1,t , S 2,t ,...,S m,t ; Based on the experimental data of electronic devices in the electronic control system, determine the service life L of electronic devices under ideal use conditions use ; Step S32: Establish a health status assessment model, and calculate the actual service life H of the electronic device, the ambient temperature change W of the electronic control system at different time t, and the t and humidity changes S t As an independent variable, the service life L of the electronic device under ideal use conditions is taken use As the dependent variable, analyze the influence weight of temperature change and humidity change on the service life of electronic devices under ideal use conditions; take the use frequency P of electronic devices as the independent variable and the actual service life H of electronic devices as the dependent variable, analyze the influence weight of the use frequency of electronic devices on the actual service life; according to the following conditional formula: Where A and B are constants; E a represents the activation energy of the electronic device; k represents the Boltzmann constant of the electronic device; n represents the accelerated test humidity of the electronic device; T use Indicates the temperature of electronic devices under ideal operating conditions; RH use represents the humidity of electronic devices under ideal use conditions; α1 represents the weight of the impact of temperature change on the service life of electronic devices under ideal use conditions; α2 represents the weight of the impact of humidity change on the service life of electronic devices under ideal use conditions; β2 represents the weight of the impact of the use frequency of electronic devices on the actual service life; Step S33, substitute the analysis results of the historical operation data and historical environment data in step S31 into the conditional formula of step S32, and calculate the values ​​of A, B, α1, α2 and β2 respectively.

4. The method for evaluating the health status of an electric control system based on the Peck model according to claim 3 is characterized in that: The method steps for predicting the remaining service life of electronic components are: Step S41, analyzing the historical operation data and historical environment data updated in real time in the corresponding analysis database of the current electric control system; determining the actual use time H0 and the use frequency P0 of the current electronic device according to the historical operation data of the current electric control system; According to the historical environmental data of the current electronic control system, determine the actual use time H0 and use frequency P0 of the current electronic device, and the ambient temperature change W of the electronic control system at different time t 0,t and humidity changes S 0,t ; Step S42: predict the remaining service life of the electronic device based on the established health status assessment model, the historical operation data and the historical environmental data analysis results in step S41, according to the calculation formula: Where X represents the predicted remaining useful life of the electronic device. Specifically, the method for evaluating the health status of the current electric control system is as follows: determining the number Z of electronic components involved in the health status evaluation of the current electric control system; and determining the remaining service life X1, X2, ..., X Z , assign a weight to the impact of the remaining service life of each electronic component on the current health status of the electronic control system, and obtain the health status assessment value of the current electronic control system through weighting.

5. The method for evaluating the health status of an electric control system based on the Peck model according to claim 4 is characterized in that: The method for evaluating the health status of the current electronic control system is as follows: determining the number Z of electronic components involved in the health status evaluation of the current electronic control system; and determining the remaining service life X1, X2, ..., X of each electronic component respectively. Z , assign a weight to the impact of the remaining service life of each electronic component on the current health status of the electronic control system, and obtain the health status assessment value of the current electronic control system through weighting.

6. The method for evaluating the health status of an electric control system based on the Peck model according to claim 5, characterized in that: The method for monitoring the electronic control system and determining whether a health alarm is needed is as follows: determine the health alarm threshold K of the electronic control system and determine the health status assessment value Q of the current electronic control system; monitor the electronic control system and compare K with Q; when Q≤K, the current electronic control system needs a health alarm and an alarm signal is sent to the management personnel; when Q>K, the current electronic control system does not need a health alarm and continues to be monitored.

7. The method for evaluating the health status of an electric control system based on the Peck model according to claim 5, characterized in that: A mobile interactive platform is provided, through which managers can assign weights to the impact of the remaining service life of each electronic component on the current health status of the electronic control system, determine the health alarm threshold of the electronic control system, and view the actual service life and usage frequency of the electronic components, temperature and humidity changes around the electronic control system, the predicted remaining service life of the electronic components and the current health status assessment value of the electronic control system.

Images