摘要
车辆状态是衡量车辆是否存在故障的最直观指标,为此设计基于多传感器信息融合的出入段全方位车辆状态检测系统。该系统利用入段传感器采集模块全方位采集车辆入段时相关信息,应用改进D-S证据理论融合方法融合多传感器采集的信息,检测车辆车轮状态、轴承工况状态与发动机状态;车辆状态检测结果与车牌信息呈现于显示屏,衡量车辆是否可以运行;通过出段传感器信息采集模块复检,确保信息采集的精准性。实验证明系统可有效、精准检测车辆的车轮状态、轴承工况状态与发动机状态。
Vehicle status is the most intuitive index to measure whether there is a fault in the vehicle.Therefore,an omni-directional vehicle status detection system based on multi-sensor information fusion is designed.The system uses the entry sensor acquisition mod-ule to collect the relevant information when the vehicle enters the depot in an all-round way,and uses the improved D-S evidence theory fusion method to fuse the information collected by multiple sensors to detect the vehicle wheel state,bearing condition state and engine state;The vehicle status detection results and license plate information are presented on the display screen to measure whether the vehicle can run;The accuracy of information collection is ensured by rechecking the sensor information col-lection module in the exit section.Experiments show that the system can effectively and accurately detect the wheel state,bearing working condition and engine state of the vehicle.
作者
方琪琦
黄河
FANG Qi-qi;HUANG He(Shenhua Railway Equipment Co.,Ltd.,Beijing 100120 China;Beijing Jingtianwei Technology Development Co.,Ltd.,Beijing 100085 China)
出处
《自动化技术与应用》
2023年第12期150-154,共5页
Techniques of Automation and Applications
关键词
多传感器
信息融合
全方位车辆状态
检测系统
multi-sensor
information fusion
comprehensive vehicle state
detection system
