铁路货物装卸机械人机安全防撞智能预警系统设计

Design of the Human Machine Safety and Collision Avoidance Intelligent Warning System for Railway Freight Loading and Unloading Machinery

在分析铁路货物装卸机械视野盲区、视线遮挡或视线不良、超速及人的不安全因素等铁路货物装卸作业人机碰撞事故因素的基础上,基于机器视觉、卷积神经网络、数据传输、卫星定位等技术,构建铁路货物装卸机械人机安全防撞智能预警系统技术方案,选用日夜全彩网络型高清工业摄像机,研制图像处理器,开发设计铁路货物装卸机械人机安全防撞智能预警系统,实现行人的自动实时识别、定位和报警,防止装卸机械与人员相撞,能有效避免人身伤亡事故发生,并将人机冲突信息传输到远程监测中心存储,为人机冲突信息的统计和查询提供数据支持。

Based on the analysis of the factors for human-machine collision accidents in the railway freight loading and unloading operation such as blind spots,obstructed or poor visibility,overspeed,and human unsafety et al.,the technical solution to the human-machine safety and collision avoidance intelligent warning system for railway freight loading and unloading machinery was constructed by using machine vision,convolutional neural networks,data transmission,satellite positioning and other technologies.The day and night full-color network-based high-definition industrial cameras were selected,with the image processor developed,and the human-machine safety and collision avoidance intelligent warning system for railway freight loading and unloading machinery designed.Besides,automatic real-time recognition,positioning,and alarm of pedestrians were realized.All this is designed to prevent collisions between loading and unloading machinery and personnel and effectively avoid personal injury accidents,and provide data support for the statistics and query of human-machine conflict information by transmitting it to remote monitoring centers for storage.