摘要
智能化运检车通过对车辆运行状态数据、实时位置数据的采集,保障巡检安全可靠、高效节能。但在智能电动巡检过程中,存在由于环境、路线、位置定位等因素影响,导致巡检效率较低的问题。为此,研究一种新的智能电动巡检车辆运行路径跟踪方法,提升巡检效率。分析智能巡检状态,建立智能巡检模型;通过直线拟合后计算巡检时控制量,确定巡检最佳方案;利用采集器采集巡检信息,并将取得的数据上传到智能运检车系统中,实现巡检过程中遇到问题及时与指挥中心信息交互,指挥中心及时对车辆、人员调度,查看现场作业过程与设备状态,并对运检作业全过程进行实时监控,提升巡检效率。实验结果表明,所提方法能够很好地确定电动巡检最佳路径,实现对车辆资源的综合管理、统一调度、联动作战,以“就近原则”合理调派车辆资源,做到“出必战、战必果”的作战风格。减少人员、车辆的无效出行次数、时长等,优化管理来提升整体经济效益。
Through the functions of collecting vehicle running status data and real⁃time position data,the intelligent inspection vehicle can ensure the safety,reliability,high efficiency and energy saving of inspection.But in the process of intelligent electric inspection,due to the influence of environment,route,location and other factors,the inspection efficiency is low.Therefore,a new intelligent electric inspection vehicle running path tracking method is studied to improve the inspection efficiency.The state of intelligent inspection is analyzed and the intelligent inspection model is established;Through the line fitting,the control quantity is calculated to determine the best inspection scheme;The collector is used to collect the inspection information and upload the data to the intelligent operation and inspection vehicle system,so as to realize the information interaction with the command center in case of problems in the inspection process.The command center can dispatch vehicles and personnel in time,check the field operation process and equipment status,and monitor the whole operation process in real time,so as to improve the inspection efficiency.The experimental results show that the proposed method can well determine the best path of electric patrol inspection,realize the comprehensive management,unified scheduling and joint operation of vehicle resources,reasonably allocate vehicle resources according to the principle of“proximity”,and achieve the combat style of“fight as you go out and fight as you go out”.Reduce the number and duration of invalid trips of personnel and vehicles,optimize the management to improve the overall economic benefits.
作者
栾奇麒
官国飞
杨庆胜
李春鹏
LUAN Qiqi;GUAN Guofei;YANG Qingsheng;LI Chunpeng(Jiangsu Fangtian Electric Power Technology Co.,Ltd.,Nanjing 211100,China)
出处
《电子设计工程》
2022年第24期185-188,193,共5页
Electronic Design Engineering
关键词
智能电动
巡检车辆
运行路径
跟踪方法
smart electric
inspection vehicle
running path
tracking method