A method and system for testing performance of automobile wiring harness

Abstract

The present invention discloses a method and system for testing the performance of an automobile wiring harness, which belongs to the field of automobile wiring harness testing and includes the following steps: S100, taking a number of automobile wiring harnesses for performance testing under different environmental conditions to obtain electrical measurement data; S200, clustering the electrical measurement data to obtain a number of clusters, and obtaining a number of automobile wiring harness groups; S300, tracking the automobile wiring harnesses through the wiring harness unique mark, and collecting wiring harness failure data; S400, according to the wiring harness failure data and the automobile wiring harness grouping, obtaining a fault prediction model for each automobile wiring harness grouping; S500, performing performance testing on the automobile wiring harness under different environmental conditions to obtain electrical measurement data under different environmental conditions, calculating the distance between the automobile wiring harness under test and the center of each cluster according to the electrical measurement data, and obtaining the automobile wiring harness grouping and fault prediction results of the automobile wiring harness under test. The present invention can realize automobile wiring harness performance testing.

Description

Technical Field

[0001] The invention relates to the field of automobile wiring harness performance testing, and in particular to an automobile wiring harness performance testing method and a testing system. Background Art

[0002] The wiring harness is the overall service equipment for a certain load source group. In modern cars, the electronic control system has a close relationship with the wiring harness. The requirements for automotive wiring harnesses are very strict, including its electrical performance, waterproofness, heat resistance and low temperature resistance, etc., which are higher than the requirements for general wiring harnesses, especially those involving safety. When performing performance testing on automotive wiring harnesses, the life of automotive wiring harnesses is usually evaluated based on factors such as the design, material and working environment of the wiring harness. For example, by considering factors such as the conductivity and insulation properties of the wiring harness material and the quality of the wiring harness connector, the reliability life of the wiring harness is evaluated by parameters such as voltage and current. The reliability life of the wiring harness refers to the time that the wiring harness runs without trouble under normal working conditions. However, the calculation of the life of the wiring harness is only an approximate estimate, and the actual life may be affected by more factors. Therefore, a performance testing method for automotive wiring harnesses is needed to predict the actual life of automotive wiring harnesses and possible failures while considering the influence of factors such as the actual use environment. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention provides a method and system for testing the performance of an automobile wiring harness, which can predict the actual life of the automobile wiring harness and possible failures.

[0004] On the one hand, an embodiment of the present invention provides a method for testing the performance of an automobile wiring harness, comprising the following steps: S100, taking a number of automobile wiring harnesses for performance tests under different environmental conditions, and obtaining electrical measurement data under different environmental conditions; S200, clustering the electrical measurement data to obtain a number of clusters, and grouping the automobile wiring harnesses according to the clusters to obtain a number of automobile wiring harness groups; S300, after the automobile wiring harness is put into use, tracking the automobile wiring harness through a unique wiring harness mark, and collecting wiring harness fault data; classifying the fault data according to environmental conditions and fault types, analyzing the classified fault data, determining whether there is a correlation between the use time of the automobile wiring harness in the fault data and the number of the automobile wiring harness group, and if so, The data is recorded as valid data; S400, valid data with the same fault type and the same automobile wiring harness grouping are merged and processed, and the merged valid data are analyzed, and the probability of fault occurrence and the service life are determined according to the correlation between the environmental conditions and the number of faults corresponding to the environmental conditions, the number of faults corresponding to the environmental conditions and the use time of the faulty wiring harness corresponding to the environmental conditions, and a fault prediction model for each automobile wiring harness grouping is established according to the fault type, probability of occurrence and service life; S500, performance tests are performed on the automobile wiring harness to be tested under different environmental conditions to obtain electrical measurement data under different environmental conditions, and the distance between the automobile wiring harness to be tested and the center of each cluster is calculated according to the electrical measurement data to obtain the automobile wiring harness grouping and fault prediction results of the automobile wiring harness to be tested.

[0005] According to some embodiments of the present invention, the step S100 includes: S110, dividing the temperature tolerance range and humidity tolerance range of the automobile wiring harness to obtain multiple temperature test values ​​and humidity test values, and performing a performance test on the automobile wiring harness based on the multiple temperature test values ​​and humidity test values ​​to obtain electrical measurement data corresponding to different temperature test values ​​and electrical measurement data corresponding to different humidity test values; S120, the electrical measurement data includes different electrical measurement characteristics, and the electrical measurement characteristics include current, voltage and resistance; based on the electrical measurement data, an electrical measurement characteristic-temperature curve and an electrical measurement characteristic-humidity curve are obtained.

[0006] According to some embodiments of the present invention, step S200 includes: S210, performing feature extraction on the electrical measurement feature-temperature curve and the electrical measurement feature-humidity curve to obtain a feature vector of each automotive wiring harness, and calculating the similarity between each automotive wiring harness based on the feature vector, clustering the automotive wiring harnesses based on the similarity to obtain a plurality of clusters.

[0007] According to some embodiments of the present invention, step S210 includes: S211, extracting statistical features from the electrical measurement feature-temperature curve and the electrical measurement feature-humidity curve; S212, calculating the Euclidean distance of the statistical features in the feature vectors of the two automobile wiring harnesses to obtain the similarity of the two automobile wiring harnesses; S213, clustering the feature vectors of the automobile wiring harnesses based on the K-Means algorithm to obtain a number of clustering clusters and cluster center vectors.

[0008] According to some embodiments of the present invention, step S300 includes: S310, collecting fault data of automobile wiring harnesses, wherein the fault data includes usage time, fault type and environmental conditions; the environmental conditions include temperature and humidity; S320, classifying the fault data according to environmental conditions and fault types to obtain a wiring harness life set ,in , Indicates the collection number, Indicates the number of sets, sets Includes several elements , Indicates the usage time of the car wiring harness. Indicates the group number of the automobile wiring harness; S330, traverses the wiring harness life set , determine the set The use time of automotive wiring harness Group number with automobile wiring harness Is there a correlation? If so, the current set is recorded as valid data, and the fault type corresponding to the current set is recorded as the associated fault type.

[0009] According to some embodiments of the present invention, the method includes: obtaining the maximum temperature, the minimum temperature, the maximum humidity and the minimum humidity in the fault data to obtain the wiring harness use temperature range and the wiring harness use humidity range, dividing the wiring harness use temperature range and the wiring harness use humidity range into several temperature intervals and humidity intervals, obtaining a temperature and humidity interval combination based on the several temperature intervals and humidity intervals, and numbering the temperature and humidity interval combinations to obtain an environmental condition number.

[0010] According to some embodiments of the present invention, step S400 includes: S410, merging the sets of the same fault type in the valid data, and sorting the elements in each set according to size to obtain a harness life sequence ,in , Indicates the sequence number, Indicates the number of sequences, Includes several elements , Indicates the usage time of the car wiring harness. Indicates the grouping number of the vehicle wiring harness. Represents the environmental condition number; and extracts the elements with the same automobile wiring harness grouping number in the wiring harness life sequence to generate a wiring harness life subsequence; S420, when the number of wiring harness life subsequences corresponding to the same automobile wiring harness grouping number is equal to 1, determine whether there is a correlation between each environmental condition number and the number of elements corresponding to each environmental condition number, if there is a correlation, record the number of elements corresponding to each environmental condition number as the occurrence probability, take the average of the use time of the elements corresponding to each environmental condition number as the service life, and establish a fault prediction model based on the fault type, occurrence probability and service life corresponding to the wiring harness life subsequence; if there is no correlation, take the average of the use time of all elements in the wiring harness life subsequence as the service life, and establish a fault prediction model based on the fault type and service life corresponding to the wiring harness life subsequence.

[0011] According to some embodiments of the present invention, step S400 includes: S430, when the number of harness life subsequences corresponding to the same automobile harness grouping number is greater than 1, determining the first occurrence probability according to the size of each harness life subsequence; determining in turn whether there is a correlation between each environmental condition number of each harness life subsequence and the number of elements corresponding to each environmental condition number, if there is a correlation, recording the number of elements corresponding to each environmental condition number as the second occurrence probability, and taking the average of the usage time of the elements corresponding to each environmental condition number as the service life; if there is no correlation, taking the first occurrence probability of the current harness life subsequence as the second occurrence probability, taking the average of the usage time of all elements in the harness life subsequence as the service life, and establishing a fault prediction model based on the fault type, second occurrence probability and service life corresponding to each harness life subsequence.

[0012] According to some embodiments of the present invention, the step S500 includes: S510, based on the multiple temperature test values ​​and humidity test values, the performance test of the automotive wiring harness to be tested is performed to obtain electrical test data, and based on the electrical test data, the electrical measurement feature-temperature curve and the electrical measurement feature-humidity curve are obtained; S520, the feature extraction of the electrical measurement feature-temperature curve and the electrical measurement feature-humidity curve is performed to obtain the feature vector of the automotive wiring harness to be tested; S530, based on the feature vector of the automotive wiring harness to be tested and the distance between the center of each cluster, the cluster with the closest distance is obtained, and the automotive wiring harness grouping of the automotive wiring harness to be tested is obtained according to the cluster with the closest distance. S540, the environmental conditions expected to be used for the current automotive wiring harness to be tested are obtained, and the fault prediction model is obtained according to the automotive wiring harness grouping, and the environmental conditions are input into the fault prediction model to obtain the fault type, occurrence probability and service life of the automotive wiring harness to be tested.

[0013] The embodiments of the present invention achieve at least the following beneficial effects: the method of the embodiments of the present invention collects and classifies the electrical measurement data of a number of automotive wiring harnesses under different environmental conditions to achieve grouping of the electrical measurement results of the automotive wiring harnesses; obtains the fault types associated with the electrical measurement results of the automotive wiring harnesses by tracking and analyzing the fault data after use of the automotive wiring harnesses; establishes a fault prediction model by analyzing the fault data of the associated fault types to achieve fault prediction and estimated service life of automotive wiring harnesses with different electrical measurement results.

[0014] Another aspect of the embodiment of the present invention provides an automobile wiring harness performance test system, comprising: a first module, used to take a number of automobile wiring harnesses for performance tests under different environmental conditions, and obtain electrical measurement data under different environmental conditions; a second module, used to cluster the electrical measurement data to obtain a number of clusters, and group the automobile wiring harnesses according to the clusters to obtain a number of automobile wiring harness groups; a third module, used to track the automobile wiring harnesses through the wiring harness unique mark after the automobile wiring harnesses are put into use, and collect wiring harness fault data; classify the fault data according to environmental conditions and fault types, analyze the classified fault data, determine whether there is a correlation between the automobile wiring harness use time in the fault data and the number of the automobile wiring harness group, and if so, The data is recorded as valid data; the fourth module is used to merge the valid data with the same fault type and the same automobile wiring harness grouping, analyze the merged valid data, determine the probability of fault occurrence and service life according to the correlation between the environmental conditions and the number of faults corresponding to the environmental conditions, the number of faults corresponding to the environmental conditions and the use time of the faulty wiring harness corresponding to the environmental conditions, and establish a fault prediction model for each automobile wiring harness grouping according to the fault type, probability of occurrence and service life; the fifth module is used to perform performance tests on the automobile wiring harness under different environmental conditions to obtain electrical measurement data under different environmental conditions, calculate the distance between the automobile wiring harness under test and the center of each cluster according to the electrical measurement data, and obtain the automobile wiring harness grouping and fault prediction results of the automobile wiring harness under test.

[0015] The embodiment of the present invention achieves at least the following beneficial effects: the system of the embodiment of the present invention is used to implement the foregoing method embodiment, so the system of the embodiment of the present invention can achieve all the beneficial effects that can be achieved by the foregoing method embodiment.

[0016] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0018] Figure 1 A schematic diagram of a method according to an embodiment of the present invention;

[0019] Figure 2 The module schematic block diagram of the system according to the embodiment of the present invention.

[0020] Reference numerals:

[0021] The first module 100 , the second module 200 , the third module 300 , the fourth module 400 , and the fifth module 500 . DETAILED DESCRIPTION

[0022] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0023] In the description of the present invention, "several" means one or more, "more" means two or more, "greater than", "less than", "exceed" etc. are understood as not including the number itself, and "above", "below", "within" etc. are understood as including the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing the technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0024] The automotive wiring harness is the main network of the automotive circuit, which is composed of wires, terminals, connectors, sheaths and other materials. It is tied with wires to form a circuit assembly that connects the electrical and electronic components of the car. The automotive wiring harness is distributed in the engine compartment, chassis, headlights, air conditioners, dashboards, seats, ceilings, doors, bodies, trunks, taillights, license plates, bumpers, batteries, etc. The automotive wiring harness is like human nerves and blood vessels.

[0025] Types of automotive wiring harness failures: 1. Natural damage: The wiring harness has been used for longer than its service life, causing the wires to age, the insulation layer to rupture, and the mechanical strength to drop significantly, causing short circuits, disconnections, grounding, etc. between the wires, causing the wiring harness to burn out. The wiring harness terminals are oxidized and deformed, causing poor contact, etc., which can cause electrical equipment to not work properly. 2. Electrical failures cause wiring harness damage: When electrical equipment has overloads, short circuits, grounding, and other failures, the wiring harness may be damaged. 3. Human failures: When assembling or repairing automotive parts, metal objects crush the wiring harness, causing the insulation layer of the wiring harness to rupture; the wiring harness is improperly positioned; the lead position of the electrical equipment is wrong; the positive and negative leads of the battery are connected in reverse; when repairing circuit failures, random connection and cutting of the wires of the wiring harness can cause electrical equipment to work abnormally or even burn out the wiring harness.

[0026] When the embodiment of the present invention performs a performance test on the automotive wiring harness, different use environments are simulated, such as high temperature, low temperature, humidity, etc., and the electrical measurement data of the automotive wiring harness under various use environments, including current, voltage and resistance, are detected. In order to find the relationship between the electrical measurement data results of the automotive wiring harness and the failure and service life of the automotive wiring harness, so as to predict the possible failure and the expected service life through the performance test results, the embodiment of the present invention performs a grouping experiment on the electrical measurement results, collects the failure data that occurs during the actual use of the automotive wiring harnesses of different groups, and finds the failure type associated with the electrical measurement results by eliminating the influence of environmental factors on the service life, and establishes a failure prediction model for the electrical measurement data of each group according to the failure data corresponding to the associated failure type, so as to predict the probability of failure and service life according to the test results of the automotive wiring harness performance test.

[0027] Reference Figure 1 The embodiment of the present invention provides a method for testing the performance of an automobile wiring harness, comprising the following steps:

[0028] S100. Take a number of automobile wiring harnesses and perform performance tests under different environmental conditions to obtain electrical measurement data under different environmental conditions.

[0029] S200 , clustering the electrical measurement data to obtain a plurality of clusters, and grouping the automobile wiring harnesses according to the clusters to obtain a plurality of automobile wiring harness groups.

[0030] S300: After the automobile wiring harness is put into use, the automobile wiring harness is tracked through the wiring harness unique mark to collect wiring harness fault data.

[0031] S400, obtaining a fault prediction model for each automobile wiring harness group according to the wiring harness fault data and the automobile wiring harness group;

[0032] S500, performing performance tests on the automotive wiring harness to be tested under different environmental conditions to obtain electrical measurement data under different environmental conditions, calculating the distance between the automotive wiring harness to be tested and the center of each cluster according to the electrical measurement data, and obtaining automotive wiring harness grouping and fault prediction results of the automotive wiring harness to be tested.

[0033] In some embodiments, step S100 of the embodiment of the present invention includes:

[0034] S110. Divide the temperature tolerance range and humidity tolerance range of the automobile wiring harness to obtain multiple temperature test values ​​and humidity test values, and perform performance testing on the automobile wiring harness based on the multiple temperature test values ​​and humidity test values ​​to obtain electrical measurement data corresponding to different temperature test values ​​and electrical measurement data corresponding to different humidity test values.

[0035] S120, the electrical measurement data includes different electrical measurement characteristics, and the electrical measurement characteristics include current, voltage and resistance; based on the electrical measurement data, an electrical measurement characteristic-temperature curve and an electrical measurement characteristic-humidity curve are obtained. The electrical measurement characteristic-temperature curve of this embodiment includes a voltage-temperature curve, a current-temperature curve and a resistance-temperature curve, and the electrical measurement characteristic-humidity curve includes a voltage-humidity curve, a current-humidity curve and a resistance-humidity curve.

[0036] In some embodiments, step S200 of the embodiment of the present invention includes: S210, extracting features from the electrical measurement feature-temperature curve and the electrical measurement feature-humidity curve to obtain a feature vector of each automotive wiring harness, and calculating the similarity between two automotive wiring harnesses based on the feature vectors, clustering the automotive wiring harnesses based on the similarity to obtain a plurality of clusters. This embodiment groups the automotive wiring harnesses according to the electrical measurement results, so as to facilitate mining the correlation between the electrical measurement results of different groups and the wiring harness fault data.

[0037] In some embodiments, step S210 of the embodiment of the present invention includes:

[0038] S211. Extract statistical features from the electrical measurement feature-temperature curve and the electrical measurement feature-humidity curve.

[0039] S212. Calculate the Euclidean distance of the statistical features in the feature vectors of the two automobile wiring harnesses to obtain the similarity of the two automobile wiring harnesses.

[0040] S213. Clustering the feature vectors of the automobile wiring harness based on the K-Means algorithm to obtain a number of clusters and cluster center vectors.

[0041] In some embodiments, step S300 of the embodiment of the present invention includes:

[0042] S310. Collect fault data of the automobile wiring harness, where the fault data includes usage time, fault type and environmental conditions; the environmental conditions include temperature and humidity.

[0043] S320, classify the fault data according to environmental conditions and fault types to obtain a harness life set ,in , Indicates the collection number, Indicates the number of sets, sets Includes several elements , Indicates the usage time of the car wiring harness. Indicates the vehicle wiring harness group number.

[0044] S330, traverse the harness life set , determine the set The use time of automotive wiring harness Group number with automobile wiring harness Is there a correlation? If so, the current set is recorded as valid data, and the fault type corresponding to the current set is recorded as the associated fault type.

[0045] This embodiment classifies fault data according to environmental conditions and fault types, and can exclude some fault types, such as those caused by human error, so as to facilitate the mining of whether the fault type is associated with different electrical measurement results of the automotive wiring harness under the same environmental conditions.

[0046] In some embodiments, the method of the embodiment of the present invention includes: obtaining the maximum temperature, minimum temperature, maximum humidity and minimum humidity in the fault data to obtain the wiring harness use temperature range and the wiring harness use humidity range, dividing the wiring harness use temperature range and the wiring harness use humidity range into several temperature intervals and humidity intervals, obtaining a temperature and humidity interval combination based on the several temperature intervals and humidity intervals, and numbering the temperature and humidity interval combination to obtain an environmental condition number.

[0047] In some embodiments, step S400 of the embodiment of the present invention includes:

[0048] S410: merge the sets with the same fault type in the valid data, and sort the elements in each set according to size to obtain the harness life sequence ,in , Indicates the sequence number, Indicates the number of sequences, Includes several elements , Indicates the usage time of the car wiring harness. Indicates the grouping number of the vehicle wiring harness. Indicates the environmental condition number; and extracts the elements with the same automobile wiring harness grouping number in the wiring harness life sequence to generate a wiring harness life subsequence.

[0049] S420. When the number of harness life subsequences corresponding to the same automobile harness grouping number is equal to 1, determine whether there is a correlation between each environmental condition number and the number of elements corresponding to each environmental condition number. If there is a correlation, the number of elements corresponding to each environmental condition number is recorded as the occurrence probability, and the use time of the elements corresponding to each environmental condition number is recorded as the service life. A fault prediction model is established based on the fault type, occurrence probability and service life corresponding to the harness life subsequence; if there is no correlation, the use time of all elements in the harness life subsequence is taken as the service life, and a fault prediction model is established based on the fault type and service life corresponding to the harness life subsequence.

[0050] In some embodiments, step S400 of the embodiment of the present invention includes: S430, when the number of harness life subsequences corresponding to the same automotive harness grouping number is greater than 1, determining the first occurrence probability according to the size of each harness life subsequence; determining in turn whether there is a correlation between each environmental condition number of each harness life subsequence and the number of elements corresponding to each environmental condition number, if there is a correlation, recording the number of elements corresponding to each environmental condition number as the second occurrence probability, and taking the average of the usage time of the elements corresponding to each environmental condition number as the service life; if there is no correlation, taking the first occurrence probability of the current harness life subsequence as the second occurrence probability, taking the average of the usage time of all elements in the harness life subsequence as the service life, and establishing a fault prediction model based on the fault type, second occurrence probability and service life corresponding to each harness life subsequence.

[0051] In some embodiments, step S500 of the embodiment of the present invention includes:

[0052] S510, performing a performance test on the automotive wiring harness to be tested based on multiple temperature test values ​​and humidity test values ​​to obtain electrical test data, and obtaining an electrical measurement characteristic-temperature curve and an electrical measurement characteristic-humidity curve based on the electrical test data.

[0053] S520 , extracting features from the electrical measurement feature-temperature curve and the electrical measurement feature-humidity curve to obtain a feature vector of the automotive wiring harness to be tested.

[0054] S530, based on the characteristic vector of the automobile wiring harness to be tested and the distance between the centers of each cluster, the cluster with the closest distance is obtained, and the automobile wiring harness grouping of the automobile wiring harness to be tested is obtained according to the cluster with the closest distance.

[0055] S540, obtaining the environmental conditions in which the current automobile wiring harness to be tested is expected to be used, obtaining a fault prediction model according to the automobile wiring harness grouping, and inputting the environmental conditions into the fault prediction model to obtain the fault type, occurrence probability and service life of the automobile wiring harness to be tested.

[0056] Corresponding to the above-mentioned embodiments, the present invention also provides system embodiments. As for the system embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial description of the method embodiments.

[0057] Reference Figure 2 Another aspect of the present invention provides a vehicle wiring harness performance testing system, including:

[0058] The first module 100 is used to take a number of automobile wiring harnesses to perform performance tests under different environmental conditions to obtain electrical measurement data under different environmental conditions.

[0059] The second module 200 is used to cluster the electrical measurement data to obtain a plurality of clusters, and to group the automobile wiring harnesses according to the clusters to obtain a plurality of automobile wiring harness groups.

[0060] The third module 300 is used to track the automobile wiring harness through the unique mark of the wiring harness after the automobile wiring harness is put into use, and collect the wiring harness fault data.

[0061] The fourth module 400 is used to obtain a fault prediction model for each automobile wiring harness grouping according to the wiring harness fault data and the automobile wiring harness grouping.

[0062] The fifth module 500 is used to perform performance tests on the automotive wiring harness under different environmental conditions, obtain electrical measurement data under different environmental conditions, calculate the distance between the automotive wiring harness under test and the center of each cluster based on the electrical measurement data, and obtain automotive wiring harness grouping and fault prediction results of the automotive wiring harness under test.

[0063] Although specific embodiments are described herein, those of ordinary skill in the art will recognize that many other modifications or alternative embodiments are also within the scope of the present disclosure. For example, any of the functions and / or processing capabilities described in conjunction with a particular device or component may be performed by any other device or component. In addition, although various exemplary implementations and architectures have been described according to embodiments of the present disclosure, those of ordinary skill in the art will recognize that many other modifications to the exemplary implementations and architectures described herein are also within the scope of the present disclosure.

[0064] Some aspects of the present disclosure are described above with reference to the block diagram and flow chart of the system, method, system and / or computer program product according to the exemplary embodiments.It should be understood that the combination of one or more blocks in the block diagram and the flow chart and the blocks in the block diagram and the flow chart can be realized by executing computer executable program instructions respectively.Equally, according to some embodiments, some blocks in the block diagram and the flow chart may not need to be executed in the order shown, or may not need to be executed in full.In addition, additional components and / or operations beyond those components and / or operations shown in the blocks in the block diagram and the flow chart may be present in certain embodiments.

[0065] Therefore, the blocks in the block diagrams and flow charts support the combination of devices for performing the specified functions, the combination of elements or steps for performing the specified functions, and the program instruction devices for performing the specified functions. It should also be understood that each block in the block diagrams and flow charts and the combination of blocks in the block diagrams and flow charts can be implemented by a special-purpose hardware computer system or a combination of special-purpose hardware and computer instructions that performs a specific function, element or step.

[0066] The program modules, applications, etc. described herein may include one or more software components, including, for example, software objects, methods, data structures, etc. Each such software component may include computer-executable instructions that, in response to execution, cause at least a portion of the functionality described herein (e.g., one or more operations of the illustrative methods described herein) to be performed.

[0067] Software components can be encoded with any of various programming languages. An exemplary programming language can be a low-level programming language, such as an assembly language associated with a specific hardware architecture and / or an operating system platform. The software component comprising assembly language instructions may need to be converted to executable machine code by an assembler before being executed by hardware architecture and / or platform. Another exemplary programming language can be a higher-level programming language, which can be transplanted across multiple architectures. The software component comprising a higher-level programming language may need to be converted to an intermediate representation by an interpreter or a compiler before execution. Other examples of programming languages ​​include but are not limited to macro languages, shells or command languages, job control languages, scripting languages, database queries or search languages ​​or report writing languages. In one or more exemplary embodiments, the software component comprising the instruction of one of the above-mentioned programming language examples can be directly executed by an operating system or other software components, without first being converted into another form.

[0068] Software components may be stored as files or other data storage structures. Software components of similar type or related functions may be stored together, such as in a specific directory, folder, or library. Software components may be static (e.g., preset or fixed) or dynamic (e.g., created or modified at execution time).

[0069] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of ordinary technicians in the relevant technical field without departing from the purpose of the present invention.

Claims

1. A method for testing the performance of an automobile wiring harness, characterized in that: The following steps are involved: S100, taking a number of automobile wiring harnesses to perform performance tests under different environmental conditions, and obtaining electrical measurement data under different environmental conditions; S200, clustering the electrical measurement data to obtain a plurality of clusters, and grouping the automobile wiring harnesses according to the clusters to obtain a plurality of automobile wiring harness groups; S300, after the automobile wiring harness is put into use, the automobile wiring harness is tracked by a unique wiring harness mark to collect wiring harness fault data; Classify the fault data according to environmental conditions and fault types, analyze the classified fault data, and determine whether there is a correlation between the use time of the automobile wiring harness in the fault data and the number of the automobile wiring harness group. If there is a correlation, record the current fault data as valid data; S400, merging valid data with the same fault type and the same automobile wiring harness group, analyzing the merged valid data, determining the fault probability and service life according to the correlation between the environmental condition and the number of faults corresponding to the environmental condition, the number of faults corresponding to the environmental condition and the use time of the faulty wiring harness corresponding to the environmental condition, and establishing a fault prediction model for each automobile wiring harness group according to the fault type, occurrence probability and service life; S500, performing performance tests on the automotive wiring harness to be tested under different environmental conditions to obtain electrical measurement data under different environmental conditions, calculating the distance between the automotive wiring harness to be tested and the center of each cluster according to the electrical measurement data, and obtaining automotive wiring harness grouping and fault prediction results of the automotive wiring harness to be tested; The step S400 includes: S410: merge the sets with the same fault type in the valid data, and sort the elements in each set according to size to obtain a harness life sequence ,in , Indicates the sequence number, Indicates the number of sequences, Includes several elements , Indicates the usage time of the car wiring harness. Indicates the grouping number of the vehicle wiring harness. Indicates the environmental condition number; and extracts the elements with the same automobile wiring harness group number in the wiring harness life sequence to generate a wiring harness life subsequence; S420, when the number of harness life subsequences corresponding to the same automobile harness group number is equal to 1, determine whether there is a correlation between each environmental condition number and the number of elements corresponding to each environmental condition number; if there is a correlation, record the number of elements corresponding to each environmental condition number as the occurrence probability, take the average of the use time of the elements corresponding to each environmental condition number as the service life, and establish a fault prediction model based on the fault type, occurrence probability and service life corresponding to the harness life subsequence; if there is no correlation, take the average of the use time of all elements in the harness life subsequence as the service life, and establish a fault prediction model based on the fault type and service life corresponding to the harness life subsequence; S430. When the number of harness life subsequences corresponding to the same automobile harness grouping number is greater than 1, the first occurrence probability is determined according to the size ratio of each harness life subsequence; whether there is a correlation between each environmental condition number of each harness life subsequence and the number of elements corresponding to each environmental condition number is determined in turn; if there is a correlation, the number of elements corresponding to each environmental condition number is recorded as the second occurrence probability, and the average of the use time of the elements corresponding to each environmental condition number is recorded as the service life; if there is no correlation, the first occurrence probability of the current harness life subsequence is taken as the second occurrence probability, and the average of the use time of all elements in the harness life subsequence is taken as the service life, and a fault prediction model is established based on the fault type, the second occurrence probability and the service life corresponding to each harness life subsequence.

2. The automotive wiring harness performance testing method according to claim 1, characterized in that: The step S100 includes: S110, dividing the temperature tolerance range and humidity tolerance range of the automobile wiring harness to obtain a plurality of temperature test values ​​and humidity test values, and performing a performance test on the automobile wiring harness based on the plurality of temperature test values ​​and humidity test values ​​to obtain electrical measurement data corresponding to different temperature test values ​​and electrical measurement data corresponding to different humidity test values; S120, the electrical measurement data includes different electrical measurement characteristics, and the electrical measurement characteristics include current, voltage, and resistance; and an electrical measurement characteristic-temperature curve and an electrical measurement characteristic-humidity curve are obtained based on the electrical measurement data.

3. The automotive wiring harness performance testing method according to claim 2, characterized in that: The step S200 includes: S210, extracting features from the electrical measurement feature-temperature curve and the electrical measurement feature-humidity curve to obtain a feature vector for each automotive wiring harness, calculating similarities between two automotive wiring harnesses based on the feature vectors, clustering the automotive wiring harnesses based on the similarities to obtain a plurality of clusters.

4. The automotive wiring harness performance testing method according to claim 3, characterized in that: The step S210 includes: S211, extracting statistical features from the electrical measurement feature-temperature curve and the electrical measurement feature-humidity curve; S212, calculating the Euclidean distance of the statistical features in the feature vectors of the two automobile wiring harnesses to obtain the similarity of the two automobile wiring harnesses; S213. Clustering the feature vectors of the automobile wiring harness based on the K-Means algorithm to obtain a number of clusters and cluster center vectors.

5. The automotive wiring harness performance testing method according to claim 1, characterized in that: The step S300 includes: S310, collecting fault data of the automobile wiring harness, wherein the fault data includes usage time, fault type and environmental conditions; the environmental conditions include temperature and humidity; S320: classify the fault data according to environmental conditions and fault types to obtain a wiring harness life set ,in , Indicates the collection number, Indicates the number of sets, sets Includes several elements , Indicates the usage time of the car wiring harness. Indicates the grouping number of the vehicle wiring harness; S330, traverse the harness life set , determine the set The use time of automotive wiring harness Group number with automobile wiring harness Is there a correlation? If so, record the current set as valid data.

6. The automotive wiring harness performance testing method according to claim 5, characterized in that: The method includes: obtaining the maximum temperature value, the minimum temperature value, the maximum humidity value and the minimum humidity value in the fault data to obtain the wiring harness use temperature range and the wiring harness use humidity range, dividing the wiring harness use temperature range and the wiring harness use humidity range into a plurality of temperature intervals and humidity intervals, obtaining a temperature and humidity interval combination according to the plurality of temperature intervals and humidity intervals, and numbering the temperature and humidity interval combination to obtain an environmental condition number.

7. The automotive wiring harness performance testing method according to claim 2, characterized in that: The step S500 includes: S510, performing a performance test on the automotive wiring harness to be tested based on the multiple temperature test values ​​and humidity test values ​​to obtain electrical test data, and obtaining an electrical measurement characteristic-temperature curve and an electrical measurement characteristic-humidity curve based on the electrical test data; S520, extracting features from the electrical measurement feature-temperature curve and the electrical measurement feature-humidity curve to obtain a feature vector of the automotive wiring harness to be tested; S530, based on the characteristic vector of the automobile wiring harness to be tested and the distance between the centers of each cluster, obtaining the cluster with the closest distance, and obtaining the automobile wiring harness grouping of the automobile wiring harness to be tested according to the cluster with the closest distance; S540, obtaining the environmental conditions in which the current automobile wiring harness to be tested is expected to be used, obtaining a fault prediction model according to the automobile wiring harness grouping, and inputting the environmental conditions into the fault prediction model to obtain the fault type, occurrence probability and service life of the automobile wiring harness to be tested.

8. An automobile wiring harness performance testing system, used to execute the automobile wiring harness performance testing method according to any one of claims 1 to 7, characterized in that: include: The first module is used to take several automotive wiring harnesses for performance testing under different environmental conditions to obtain electrical measurement data under different environmental conditions; The second module is used to cluster the electrical measurement data to obtain a plurality of clusters, and group the automobile wiring harnesses according to the clusters to obtain a plurality of automobile wiring harness groups; The third module is used to track the automobile wiring harness through the unique mark of the wiring harness after the automobile wiring harness is put into use, and collect wiring harness fault data; Classify the fault data according to environmental conditions and fault types, analyze the classified fault data, and determine whether there is a correlation between the use time of the automobile wiring harness in the fault data and the number of the automobile wiring harness group. If there is a correlation, record the current fault data as valid data; The fourth module is used to merge the valid data with the same fault type and the same automobile wiring harness group, analyze the merged valid data, determine the fault probability and service life according to the correlation between the environmental conditions and the number of faults corresponding to the environmental conditions, the number of faults corresponding to the environmental conditions and the use time of the faulty wiring harness corresponding to the environmental conditions, and establish a fault prediction model for each automobile wiring harness group according to the fault type, probability of occurrence and service life; The fifth module is used to perform performance tests on the automotive wiring harness under different environmental conditions to obtain electrical measurement data under different environmental conditions, calculate the distance between the automotive wiring harness under test and the center of each cluster based on the electrical measurement data, and obtain the automotive wiring harness grouping and fault prediction results of the automotive wiring harness under test.

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