摘要
为了满足城市停车智慧服务系统的建设需求,设计了一套基于LoRa的停车位状态信息采集系统.详细介绍了前端采集设备和服务器端设备管理系统的设计,重点介绍了车辆检测传感器的设计.车辆检测传感器同时集成了地磁和雷达两种检测技术,结合检测算法的优化设计,有效降低了车辆检测传感器的误检率和漏检率.实装测试结果表明:该系统具有较高的检测准确性和可靠性.
In order to meet the construction demand of urban parking wisdom service system,a set of parking space status information acquisition system based on LoRa is designed.The design of front-end acquisition equipment and server-side equipment management system is introduced in detail.The design of vehicle detection sensor is introduced emphatically.The vehicle detection sensor integrates both the geomagnetic and radar detection technologies.Combined with the optimized design of the detection algorithm,the vehicle detection sensor effectively reduces the false and the missed detection rate.The actual installation test results show that the system has high detection accuracy and reliability.
作者
祁海禄
QI Hailu(CSIC No. 710 Research Institute, Yichang 443003, China)
出处
《测试技术学报》
2018年第3期207-214,共8页
Journal of Test and Measurement Technology