The invention relates to a vehicle application scene analysis method based on big data, and the method is characterized in that the method comprises the following steps: carrying out the vehicle type locking operation, and obtaining the operation data of each vehicle; carrying out feature field investigation; carrying out feature data calculation; performing principal component analysis; carrying out clustering analysis; carrying out classified vehicle feature statistics; scene recognition is carried out; performing terminal verification; and outputting the scene library. According to the method, different features between different scenes are extracted, parameterized definition of the scenes is realized, and a quantitative boundary is provided for product development; the problem that the difference of working conditions of different scenes cannot be accurately recognized in the prior art is solved. Specific quantitative requirements of different scenes on product development can be explained, and qualitative constraints are not limited.
本发明涉及基于大数据的车辆应用场景分析方法,其特征在于:包含以下步骤:进行车型锁定操作,获得每辆车的运营数据;进行特征字段调研;进行特征数据计算;进行主成分分析;进行聚类分析;进行分类车辆特征统计;进行场景识别;进行终端验证;输出场景库。本发明提取不同场景之间不同特征,实现场景的参数化定义,为产品开发提供量化边界;解决了现有技术无法精准识别不同场景工况的差异的问题;可以说明不同场景对产品开发的具体量化要求,且不限于提供定性约束。
Vehicle application scene analysis method based on big data
基于大数据的车辆应用场景分析方法
2023-05-12
Patent
Elektronische Ressource
Chinesisch
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