Intelligent automobile certification test method and system based on coordination of multiple regulations

Abstract

The application belongs to the technical field of automobile testing, and provides an intelligent automobile certification testing method and system based on cooperation of multiple regulations, and a technical scheme is that data obtained by analysis is stored in a multi-regulation database according to a hierarchical storage architecture; an associated knowledge graph of vehicle parameters and regulation test items is constructed, test items matched with core attribute parameters of a to-be-tested vehicle model in the knowledge graph are traversed; the weight of each test item is dynamically adjusted according to the priority of a target market, and a test list is obtained according to the association of the test items; real-time feedback data of each test item in the test list is obtained, a test parameter configuration strategy corresponding to a target region is called, and the configuration parameters are adjusted based on the real-time feedback data and the corresponding test parameter configuration strategy; a compliance risk prediction model constructed is trained, the test parameters configured are predicted based on the trained compliance risk prediction model, and a critical test working condition meeting the boundary conditions of regulations is generated. The test meets the multiple-regulation scene.

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