首页|期刊导航|机电工程技术|道路危险品运输驾驶员监控系统设计

道路危险品运输驾驶员监控系统设计OA

Design of Driver Monitoring System for Road Dangerous Goods Transportation

中文摘要英文摘要

针对当前道路危险品运输驾驶员监管落后的问题,开发了一套驾驶员车载监控系统.系统选用树莓派4B作为核心主控制器,开发嵌入式监控终端,监控终端集成了多线程并行工作的传感器信息采集模块来采集驾驶员的状态信息.采用CMOS高清摄像头采集人脸实施疲劳监控,采用GPS/北斗模块监控车辆及驾驶员的位置信息,采用MQ-3酒精测试模块监控驾驶员是否酒驾,采用红外温度传感器模块监控驾驶员是否带病发烧开车,各类传感器与车载终端之间通过蓝牙、I²C、UART等多种通信方式实现数据传输.系统同时开发了具有信息分析及处理功能的后台监控中心,车载终端采集的信息通过5G发送到后台监控中心并进行信息分析和处理,监控驾驶员是否有疲劳驾驶、公车私用、酒驾、带病发烧开车等行为并发送预警信息.该系统可实时有效地监控驾驶员状态,提升行车的安全性.

Addressing the issue of outdated supervision for road hazardous materials transport drivers,an onboard driver monitoring system is developed.The system employs the Raspberry Pi 4B as the core main controller to develop an embedded monitoring terminal.The monitoring terminal collects the driver´s state information through a sensor data acquisition module that integrates multi-threaded parallel operations.The system uses a CMOS high-definition camera to capture faces for fatigue monitoring,GPS/Beidou modules to monitor the position information of vehicles and drivers,MQ-3 alcohol testing module to monitor whether drivers are drunk driving,and infrared temperature sensor module to monitor whether drivers are driving with illness and fever.Various sensors and onboard terminals are connected through various communication methods such as Bluetooth,I²C,UART,etc.to achieve data transmission.And a backend monitoring center with information analysis and processing functions is also developed.The information collected by the in vehicle terminal is sent to the backend monitoring center through 5G for information analysis and processing,and to monitor whether the driver has fatigue driving,private use of official vehicles,drunk driving,driving with illness and fever,and sends warning messages.The system can effectively monitor the driver´s state in real time,enhancing driving safety.

肖心远;郑浩然;范立荣;吴良军

广东交通职业技术学院 汽车与工程机械学院,广州 510650广东交通职业技术学院 汽车与工程机械学院,广州 510650广东交通职业技术学院 汽车与工程机械学院,广州 510650广东交通职业技术学院 汽车与工程机械学院,广州 510650

信息技术与安全科学

危险品运输驾驶员监控树莓派4B多传感器信息融合嵌入式系统

dangerous goods transportationdriver monitoringRaspberry Pi 4Bmulti sensor information fusionembedded system

《机电工程技术》 2026 (6)

132-136,161,6

2023年广东省教育厅普通高校重点科研平台和项目(2023ZDZX4091)2024年广东省教育厅教育科学规划课题(高等教育专项)(2024GXJK1096)2024年广州市哲学社会科学发展"十四五"规划常规(共建)课题(2024GZGJ121)2023年广东省高职教育精品在线开放课程认定(粤教职函[2023]19号)

10.3969/j.issn.1009-9492.2026.06.021

评论