AI has achieved remarkable effects in various fields.In the scenario of AI empow-ering R&D of vehicles,issues such as the limited sample size of engineering data,the strong logical requirements of workflows,and the high accuracy requirements for usability,along with the need for multimodal reconstruction of existing knowledge bases,have been analyzed.The trends and value of AI-empowered R&D are analyzed,and three scenario models are proposed for empowering R&D dur-ing the workflow process.By studying brain intelligence,knowledge forests,and biological hierarchi-cal structure models,a methodology for AI applications suitable for R&D scenarios is proposed.Through the scenario intelligence pyramid model,the complementary nature of different scenario mod-els is coordinated and progress in parallel,thus providing a development methodology and technical pathway for AI-empowered vehicle R&D scenarios.
万方数据
维普
