一种基于OBD的车辆不同载重状态下排放数据提取方法
By utilizing OBD data and the KNN algorithm, combined with GIS technology, the load status of urban garbage trucks can be identified, solving the problem of easy damage to load sensors, achieving accurate emission data analysis, reducing costs, and expanding the scope of analysis.
CN118395075BActive Publication Date: 2026-07-17SOUTHEAST UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTHEAST UNIV
- Filing Date
- 2024-04-03
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
In existing technologies, load sensors are easily damaged and have high maintenance costs, making it difficult to obtain the load status of urban garbage trucks and affecting the accuracy of emission data analysis.
Method used
By utilizing vehicle OBD data, combined with KNN algorithm and GIS technology, vehicle driving data is extracted and reconstructed to identify load status and calculate emission data, thus avoiding reliance on load sensors.
Benefits of technology
It enables accurate acquisition of vehicle emission data under different load conditions without the installation of load sensors, reducing maintenance costs and expanding the scope of analysis of emission influencing factors.
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Figure CN118395075B_ABST
Abstract
本发明公开了一种基于OBD的车辆不同载重状态下排放数据提取方法，该方法包括：利用车辆的OBD数据计算获取目标车辆的行驶数据；对所述行驶数据进行预处理，得到有效行驶数据；依据所述有效行驶数据，利用KNN算法进行道路匹配，得到不同道路类型下的行驶数据，提取高速行驶数据；依据提取行驶数据获取与载重状态相关的特征列与特征数据标签；利用特征数据标签将所述行驶数据进行重构并进行特征排序；利用循环算法识别重构的行驶数据中的特征数据标签，得到所述目标车辆的不同载重状态下排放数据结果。本发明可基于车辆自身安装的车载智能终端的行驶数据进行载重状态排放数据提取，不需要安装载重传感器。
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