Health status assessment method of electronic control system based on Peck model

Abstract

The present invention discloses a method for assessing the health status of an electronic control system based on the Peck model, belonging to the technical field of reliability analysis of electronic control systems. The method obtains experimental data on electronic devices in the electronic control system; monitors on-site operations of the electronic control system and collects operational and environmental data of the electronic control system; establishes an analysis database and a health status assessment model, analyzes the weight of the impact of temperature and humidity changes on the service life of electronic devices under ideal operating conditions, and analyzes the weight of the impact of the frequency of use of electronic devices on their actual service life; predicts the remaining service life of electronic devices and determines the health status assessment value of the current electronic control system; monitors the current electronic control system and determines whether a health alarm is needed. This method not only improves the accuracy of the health status assessment of the electronic control system and reflects the real-time health status of the electronic control system, but also improves the product operation and maintenance capabilities of the electronic control system.

Description

Technical Field

[0001] The present invention relates to the technical field of reliability analysis of electronic control systems, and in particular to a health status assessment method of electronic control systems based on a Peck model. Background Art

[0002] Electronic control systems are often composed of multiple electronic devices, with few monitoring methods and insufficient input for status assessment. Therefore, compared with traditional data-driven algorithms, physical model-based algorithms are more suitable for evaluating the health status of key equipment. The Peck model, as an accelerated testing model, is mainly used to describe the combined effects of temperature and humidity on product reliability (especially lifespan). In humid environments, chemical reactions and physical processes (such as corrosion and oxidation) within electronic devices are accelerated, leading to performance degradation and shortened lifespan of electronic devices. By simulating the degradation process of electronic control systems under different temperatures and humidities, the Peck model can effectively 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 dynamic environments and require real-time monitoring and assessment of their health status. The limitations of the Peck model make it impossible to accurately reflect the real-time health status of electronic control systems. In addition, in the process of evaluating the health status of electronic control systems, the impact 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 technology.

[0004] In order 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: Performing an accelerated experiment on the electronic control system using the Peck model to obtain experimental data on electronic components in the electronic control system; the experimental data includes the service life of the electronic components under ideal use conditions;

[0006] Step S2: Monitor the on-site operation of the electronic control system and collect operating data and environmental data of the electronic control system; the operating data includes the actual service life and usage frequency of the electronic components; the environmental data includes changes in temperature and humidity around the electronic control system;

[0007] Step S3: Establish an analysis database and store the operating data and environmental data collected in step S2 as historical data; establish a health status assessment model based on the historical data stored in the analysis database and the experimental data obtained in step S1, analyze the impact weight of temperature changes and humidity changes on the service life of electronic devices under ideal use conditions, and analyze the impact weight of the use frequency of electronic devices on their actual service life;

[0008] Step S4: updating the historical operating data and historical environmental data stored in the corresponding analysis database of the current electronic control system in real time, and predicting the remaining service life of the electronic components based on the health status assessment model established in step S3; and determining the health status assessment value of the current electronic control system based on the predicted remaining service life of the electronic components;

[0009] Step S5: Determine the health alarm threshold of the electronic control system. Based on the health status assessment value of the current electronic control system, monitor the current electronic control system to determine whether a health alarm is required. If an alarm is required, send an alarm signal to the management personnel. If an alarm is not required, continue monitoring.

[0010] Compared with the existing technology, the beneficial effects achieved by the present invention are: by establishing a health status assessment model, the influence weights of temperature changes, humidity changes and usage frequency of electronic devices on the service life are analyzed, which provides data support for the subsequent assessment of the health status of the electronic control system and improves the accuracy of the health status assessment of the electronic control system; by predicting the remaining service life of the electronic devices, the health status assessment value of the current electronic control system is determined, and the Peck model is combined with the dynamic analysis results of the electronic devices to reflect the real-time health status of the electronic control system and improve the product operation and maintenance capabilities of the electronic control system. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a schematic diagram of the steps of the electronic control system health status assessment method based on the Peck model of the present invention. DETAILED DESCRIPTION

[0012] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0013] The present invention combines experimental data based on the Peck model with real-time operating data and environmental data of the electronic control system to analyze the impact of temperature changes, humidity changes and usage frequency of electronic devices on their service life. It not only optimizes the Peck model in the real-time health status assessment of the electronic control system, but also takes the usage frequency of electronic devices into consideration as other stress factors in the assessment of the real-time health status of the electronic control system, thereby more accurately reflecting the real-time health status of the electronic control system and helping managers to better maintain the electronic control system.

[0014] See also Figure 1 , the present invention provides the following technical solutions:

[0015] See also Figure 1 In the first embodiment, a method for evaluating the health status of an electric control system based on the Peck model is provided. The method includes the following steps:

[0016] Step S1: Perform an accelerated experiment on the electronic control system using the Peck model to obtain experimental data on electronic components in the electronic control system; the experimental data includes the service life of the electronic components under ideal use conditions.

[0017] It should be noted that the ideal operating conditions represent the ideal operating temperature and temperature of the electronic device. In this embodiment, the ideal operating temperature and temperature of the electronic device are comprehensively judged by the ambient temperature and temperature changes of the electronic control system; the accelerated test of the electronic control system is actually an accelerated test of the electronic devices inside the electronic control system, and the health status of the electronic control system is determined by evaluating the service life of the electronic devices; in this embodiment, the monitored electronic devices are point-to-point 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 test on the electronic control system are as follows: determining the activation energy E of the electronic devices in the electronic control system a , Boltzmann constant k and accelerated test humidity n; select the temperature T when the electronic device is subjected to accelerated testing test and humidity RH test , place the electronic device in a constant temperature and humidity chamber for accelerated testing to determine the service life of the electronic device under ideal conditions of use; calculate the acceleration factor AF according to the Peck model formula:

[0019]

[0020] Among them, RH use Indicates the humidity under ideal operating conditions of electronic devices; T useRepresents the temperature of the electronic device under ideal conditions of use; wherein, the method steps for determining the service life of the electronic device under ideal conditions of use are: determining the temperature and humidity when the electronic device is subjected to accelerated testing, and determining the test time L when the electronic device fails. test According to the acceleration factor AF during the electronic device experiment, the service life L of the electronic device under ideal use conditions is obtained. use :L use =AF·L test .

[0021] Step S2: Monitor the on-site operation of the electronic control system and collect operating data and environmental data of the electronic control system; the operating data includes the actual service life and usage frequency of the electronic components; the environmental data includes changes in temperature and humidity around the electronic control system;

[0022] Furthermore, several temperature sensors and several humidity sensors are deployed around the electronic control system; the temperature sensors are used to collect temperature data around the electronic control system; the humidity sensors are used to collect humidity data around the electronic control system; when collecting environmental data of the electronic control system, the temperature data collected by the several temperature sensors and the humidity data collected by the several humidity sensors are analyzed separately, and the temperature changes around the electronic control system and the humidity changes around the electronic control system are determined separately through a weighted fusion algorithm.

[0023] It should be noted that when analyzing the temperature data collected by several temperature sensors, different weights are assigned to the temperature data according to the location information of each temperature sensor. Through the weighted fusion algorithm, the temperature around the electronic control system is obtained by accumulating and averaging the data, thereby determining the temperature change around the electronic control system; similarly, the humidity change around the electronic control system is determined; 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 analysis data of the temperature change and humidity change of the electronic device, thereby avoiding repeated data collection.

[0024] It should be noted that when the environment changes greatly, high temperature and high humidity environment will accelerate the aging of electronic components. At this time, the actual service life of electronic components usually does not reach the service life under ideal use conditions. Real-time monitoring of the operating conditions of electronic components can better help managers determine the life of electronic components and formulate maintenance plans.

[0025] It should be noted that the timestamp when the electronic device is operating is recorded, and the frequency of use of the electronic device is determined based on the timestamp when the electronic device is operating; in this embodiment, the actual service life of the electronic device is the length of time the electronic device is used when it fails due to natural aging, and does not take into account electronic device failures caused by emergencies.

[0026] Step S3: Establish an analysis database and store the operating data and environmental data collected in step S2 as historical data; establish a health status assessment model based on the historical data stored in the analysis database and the experimental data obtained in step S1, analyze the impact weight of temperature changes and humidity changes on the service life of electronic devices under ideal use conditions, and analyze the impact weight of the use frequency of electronic devices on their actual service life;

[0027] Specifically, the method steps are:

[0028] Step S31: retrieve historical operation data and historical environmental data of electronic devices under natural aging conditions 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 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 components in the electronic control system, determine the service life L of electronic components under ideal conditions of use use ;

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

[0030] 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 conditions of use is use As the dependent variable, analyze the weight of the impact of temperature and humidity changes on the service life of electronic devices under ideal conditions; take the frequency of use P of electronic devices as the independent variable and the actual service life H of electronic devices as the dependent variable, and analyze the weight of the impact of the frequency of use of electronic devices on the actual service life; according to the following conditional formula:

[0031]

[0032] Among them, A and B are constants; E arepresents 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 under ideal operating conditions of electronic devices; RH use represents the humidity under ideal use conditions of electronic devices; 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;

[0033] Step S33: Substitute the historical operation data and historical environment data analysis results in step S31 into the conditional formula of step S32 to calculate the values ​​of A, B, α1, α2 and β2 respectively.

[0034] It should be noted that the natural aging of electronic devices does not take into account electronic device failures caused by sudden situations. Since point-to-point electronic devices do not require continuous operation, they are less affected by actual working conditions. At this time, the failure of electronic devices mainly comes from external temperature and humidity changes and their own frequency of use. In this implementation, H1, H2, ..., H m As the analysis parameters of the actual service life H of the electronic device, P1, P2, ..., P m As an analysis parameter of the operating frequency P of electronic devices, W 1,t 、W 2,t ,...,W m,t As the ambient temperature change W of the electronic control system at different time t t The analytical parameter, S 1,t 、S 2,t ,...,S m,t As the analysis parameters of the humidity change St around the electronic control system at different times t, they are respectively substituted into the conditional formula for fitting calculation to determine the values ​​of A, B, α1, α2 and β2; where, Indicates the degree of impact of temperature and humidity on the performance degradation of electronic devices in actual use; The lower limit of the integral is the timestamp when the electronic device is first used. By establishing a health status assessment model and analyzing the influence weights of temperature changes, humidity changes, and usage frequency on the service life of electronic devices, data support is provided for the subsequent health status assessment of the electronic control system, thereby improving the accuracy of the health status assessment of the electronic control system.

[0035] Step S4: updating the historical operating data and historical environmental data stored in the corresponding analysis database of the current electronic control system in real time, and predicting the remaining service life of the electronic components based on the health status assessment model established in step S3; and determining the health status assessment value of the current electronic control system based on the predicted remaining service life of the electronic components;

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

[0037] Step S41: Analyze the historical operation data and historical environmental data updated in real time in the corresponding analysis database of the current electronic control system; determine the actual usage time H0 and usage frequency P0 of the current electronic device based on the historical operation data of the current electronic control system; determine the temperature change W of the electronic control system at different times t under the actual usage time H0 and usage frequency P0 of the current electronic device based on the historical environmental data of the current electronic control system. 0,t and humidity changes S 0,t ;

[0038] Step S42: Based on the established health status assessment model and the analysis results of the historical operation data and historical environmental data in step S41, the remaining service life of the electronic device is predicted according to the calculation formula:

[0039]

[0040] Where X represents the predicted remaining useful life of the electronic device.

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

[0042] Specifically, 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, ..., X1 of each electronic component. 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.

[0043] In one embodiment, the number of electronic components participating in the current health status assessment of the electric control system is 1. In this case, the remaining service life of the electronic component is the health status assessment value of the current electric control system.

[0044] In another embodiment, there are multiple electronic components involved in the health status assessment of the current electronic control system. In this case, the remaining service life X1, X2, ..., X2 of each electronic component is determined separately. Z , and assign weights w1, w2, ..., w to each electronic component regarding its remaining service life and its impact on the health status of the current electronic control system. Z , and obtain the health status 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 component on the current health status of the electronic control system; Xi represents the remaining service life of the i-th electronic component; among them, the smaller the remaining service life of the electronic component, the greater the influence weight on the current health status of the electronic control system.

[0045] It should be noted that by predicting the remaining service life of electronic devices and determining the health status assessment value of the current electronic control system based on the predicted remaining service life of electronic devices, and combining the Peck model with the dynamic analysis results of electronic devices, it not only reflects the real-time health status of the electronic control system, but also improves the product operation and maintenance capabilities of the electronic control system.

[0046] Step S5: Determine the health alarm threshold of the electronic control system. Based on the health status assessment value of the current electronic control system, monitor the current electronic control system to determine whether a health alarm is required. If an alarm is required, send an alarm signal to the management personnel. If an alarm is not required, continue monitoring.

[0047] Specifically, 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 to issue a health alarm, and an alarm signal is sent to the management personnel; when Q>K, the current electronic control system does not need to issue a health alarm and continues to be monitored.

[0048] Furthermore, 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, predicted remaining service life of the electronic components and the current health status assessment value of the electronic control system.

[0049] In this implementation, when the current electronic control system issues a health alarm, an alarm signal is sent to the management personnel. The management personnel can check the remaining service life of each electronic component through the mobile interactive platform. If one or more electronic components with insufficient remaining service life are found, it is convenient for the management personnel to go to the site to replace them, thereby improving the product operation and maintenance capabilities of the electronic control system.

[0050] Finally, it should be noted that the above descriptions are merely 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 aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. The electronic control system health status assessment method based on the Peck model is characterized by: The method comprises the following steps: Step S1: Performing an accelerated experiment on the electronic control system using the Peck model to obtain experimental data on electronic components in the electronic control system; the experimental data includes the service life of the electronic components under ideal use conditions; Step S2: Monitor the on-site operation of the electronic control system and collect operating data and environmental data of the electronic control system; the operating data includes the actual service life and usage frequency of the electronic components; the environmental data includes the temperature and humidity changes around the electronic control system; Step S3: Establish an analysis database and store the operating data and environmental data collected in step S2 as historical data; establish a health status assessment model based on the historical data stored in the analysis database and the experimental data obtained in step S1, analyze the impact weight of temperature changes and humidity changes on the service life of electronic devices under ideal use conditions, and analyze the impact weight of the use frequency of electronic devices on the actual service life; specifically: Step S31: retrieve historical operation data and historical environmental data of electronic devices under natural aging conditions 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 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 components in the electronic control system, determine the service life L of electronic components under ideal conditions of use 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 conditions of use is use As the dependent variable, analyze the weight of the impact of temperature and humidity changes on the service life of electronic devices under ideal conditions; take the frequency of use P of electronic devices as the independent variable and the actual service life H of electronic devices as the dependent variable, and analyze the weight of the impact of the frequency of use of electronic devices on the actual service life; according to the following conditional formula: Among them, 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 under ideal operating conditions of electronic devices; RH use represents the humidity under ideal use conditions of electronic devices; 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 historical operation data and historical environment data analysis results in step S31 into the conditional formula of step S32 to calculate the values ​​of A, B, ɑ1, ɑ2 and β2 respectively; Step S4: updating the historical operating data and historical environmental data stored in the corresponding analysis database of the current electronic control system in real time, and predicting the remaining service life of the electronic components based on the health status assessment model established in step S3; and determining the health status assessment value of the current electronic control system based on the predicted remaining service life of the electronic components; Step S5: Determine the health alarm threshold of the electronic control system. Based on the health status assessment value of the current electronic control system, monitor the current electronic control system to determine whether a health alarm is required. If an alarm is required, send an alarm signal to the management personnel. If an alarm is not required, continue monitoring.

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

3. The method for evaluating the health status of an electronic control system based on the Peck model according to claim 1, wherein: The method steps for predicting the remaining service life of electronic components are as follows: Step S41: Analyze the historical operating data and historical environmental data updated in real time in the corresponding analysis database of the current electronic control system; determine the actual usage time H0 and usage frequency P0 of the current electronic device based on the historical operating data of the current electronic control system; According to the historical environmental data of the current electronic control system, the actual usage time H0 and usage frequency P0 of the current electronic device are determined, and the ambient temperature change W of the electronic control system at different time t is determined. 0,t and humidity changes S 0,t ; Step S42: Based on the established health status assessment model and the analysis results of the historical operation data and historical environmental data in step S41, the remaining service life of the electronic device is predicted according to the calculation formula: Where X represents the predicted remaining service life of the electronic device; Specifically, 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, ..., X1 of each electronic component. 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.

4. The method for evaluating the health status of an electronic control system based on the Peck model according to claim 3, wherein: 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.

5. The method for evaluating the health status of an electronic control system based on the Peck model according to claim 4, characterized in that: The method for monitoring the electronic control system and determining whether a health alarm is required is as follows: determining the health alarm threshold K of the electronic control system and determining the health status assessment value Q of the current electronic control system; monitoring the electronic control system and comparing K with Q; when Q≤K, the current electronic control system requires a health alarm, and an alarm signal is sent to the management personnel; when Q>K, the current electronic control system does not require a health alarm and continues to be monitored.

6. The method for evaluating the health status of an electronic control system based on the Peck model according to claim 4, 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, predicted remaining service life of the electronic components, and the current health status assessment value of the electronic control system.

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