摘要
针对原有电动汽车防盗自动报警定位方法在市区内定位识别较差的问题,设计基于无线传感网络的电动汽车防盗自动报警定位方法。在车辆中安装传感器,采用三边测量法进行电动汽车位置信息获取;通过车载摄像头进行车辆异常情况的获取与识别;采用滤波去噪算法结合卷积神经网络算法完成对车辆信息的综合处理;最后,在用户手机中安装定位软件,在发生异常情况时,及时将异常信息发送至用户手机,完成自动报警过程。至此,基于无线传感网络的电动汽车防盗自动报警定位方法设计完成。构建对比试验,与原有方法相比,此方法的车辆定位识别效果更好,原有方法仅定位识别4辆汽车,此方法可有效定位识别8辆。由此可知,此方法在性能方面更加优越。
Aiming at the problem that the original anti-theft automatic alarm positioning method of electric vehicles is poor in locating and identifying in urban areas,an anti-theft automatic alarm positioning method of electric vehicles based on wireless sensor network is designed.A sensor is installed in the vehicle and the position information of the electric vehicle is acquired by three-side measurement.Acquisition and recognition of abnormal vehicle conditions through on-board camera;The filtering and denoising algorithm combined with convolutional neural network algorithm is used to complete the comprehensive processing of vehicle information.Finally,install the positioning software in the user’s mobile phone,and send abnormal information to the user’s mobile phone in time in case of abnormal situation,and complete the automatic alarm process.So far,the automatic alarm positioning method of electric vehicles based on wireless sensor network is completed.Compared with the original method,this method has a better effect in vehicle location recognition.The original method only locates and identifies 4 vehicles,but this method can effectively locate and identify 8 vehicles.Therefore,this method is superior in performance.
作者
陈鹏
CHEN Peng(Shanxi College Of Communication Technology,Xi’an Shaanxi 710018,China)
出处
《自动化与仪器仪表》
2020年第5期142-145,149,共5页
Automation & Instrumentation
基金
中国博士后科学基金面上项目“力-电化学作用下管道局部腐蚀演化规律及安全评价方法”(No.2014M560772)。
关键词
无线传感网络
电动汽车
自动报警
GPS定位
防盗追踪
wireless sensor network
electric cars
automatic alarm
gps positioning
anti-theft tracking
