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Complete vehicle multi-source signal flexibility test method based on multi-dimensional association rule model

A flexible testing and source signal technology, which is applied in character and pattern recognition, instruments, mechanical equipment, etc., can solve the increase in research and development cycle, analysis, and diagnostic result interference, accuracy, and multi-source signal synergy. Test personnel's professional quality and other issues, to achieve the effect of reducing collection and storage, improving flexibility, and increasing accuracy

Active Publication Date: 2021-07-16
HEFEI UNIV OF TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the current test development system has the following problems in the test acquisition method: most types of vehicle test systems require professional test diagnosis developers to provide test plans, resulting in the accuracy of the vehicle test process, multi-source signal coordination, and test The accuracy of the results depends heavily on the professional quality of the testers; some types of test development systems are always in a state of intensive collection during operation, and cannot intelligently adjust the startup and sleep of each detection point of the test system according to the running status of the vehicle. A large amount of invalid data not only increases the operating cost of the server, but also interferes with the results of later analysis and diagnosis, increasing the development cycle

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  • Complete vehicle multi-source signal flexibility test method based on multi-dimensional association rule model
  • Complete vehicle multi-source signal flexibility test method based on multi-dimensional association rule model
  • Complete vehicle multi-source signal flexibility test method based on multi-dimensional association rule model

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Embodiment Construction

[0039] In this embodiment, a flexible testing method for multi-source signals of a vehicle based on a multi-dimensional association rule model is that in a vehicle cloud test environment, the test system monitors the running status of the vehicle and changes in test requirements in real time, and intelligently and flexibly adjusts the vehicle. Electrical performance signal detection point. The method is as follows: firstly divide the test state online in the cloud, and establish the feature set of the actual test state and the target test state of the vehicle; then intercept the signal field of the current period in the multi-source signal flow, and calculate and update the bus signal and A set of strong association rules for electrical performance signal detection points; finally, the bus signal is used as an input, and by matching the strong association rule set, the electrical performance signal detection points for the next period are determined, and the test terminal equip...

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Abstract

The invention discloses a whole vehicle multi-source signal flexible test method based on a multi-dimensional association rule model. The method comprises the steps: firstly carrying out the online dividing of a test state at a cloud end in a whole vehicle cloud test environment, and building a feature set of a whole vehicle actual test state and a target test state; then intercepting a signal domain of a current time period in a multi-source signal flow, and calculating and updating a strong association rule set of bus signals and electrical performance signal detection points by constructing a multi-dimensional association rule model; and finally, taking a bus signal as input, determining an electrical performance signal detection point in the next time period by matching a strong association rule set, and controlling test terminal equipment to dynamically adjust the detection point according to the decision, thereby improving the flexible reaction capability of the test system. According to the invention, the ability of the test system to cope with the change of the whole vehicle state and the test demand can be improved, the collaboration of the bus signal and the electrical performance signal detection point is improved, the test process is more accurate and automatic, and powerful support is provided for the cloud and intelligent development of the whole vehicle test diagnosis.

Description

technical field [0001] The invention belongs to the technical field of vehicle testing, diagnosis and development, and specifically relates to a flexible testing method for multiple source signals of a vehicle based on a multidimensional association rule model. Background technique [0002] In recent years, the fierce competition in the automobile industry has stimulated the urgent pursuit of the development efficiency of new models by OEMs. In order to reduce the cost of vehicle research and development, vehicle manufacturers have borrowed the idea of ​​flexible manufacturing and introduced the idea of ​​"flexibility" into the vehicle test and diagnosis technology, which has improved the test system's ability to respond to changes in test requirements and the flexibility of the test process; in order to shorten In the vehicle R&D cycle, the vehicle test and diagnosis development technology is developing in the direction of network, cloud, and intelligence. Major vehicle man...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F30/20
CPCG06F30/20G06F2218/00G06F2218/08Y02T10/40
Inventor 王跃飞袁富林肖锴王超王凯琳王玮
Owner HEFEI UNIV OF TECH
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