基于Adaboost识别算法的电力塔杆拉线防盗报警系统的研究

发布时间：2018-10-20 06:53

【摘要】：近年来,电力塔杆拉线被盗事件时有发生,针对传统的拉线防盗系统实时性较差,防盗报警误报、漏报率高等问题,设计了一种基于Adaboost识别算法、STM32和uCOSⅡ的电力塔杆拉线防盗报警系统。以STM32微处理器为核心,搭载uCOSⅡ操作系统,实时采集振动、拉力、倾角加速度传感器信号,通过Adaboost算法对拉线状态进行识别判断,将结果以GSM消息方式传递给运行维护人员。实验表明,该系统实时性较强、运行可靠,预警准确率达89.4%以上,报警准确率达100%,具有较高的工程实践意义。
[Abstract]:In recent years, the power tower rod cable has been stolen from time to time, aiming at the problems of poor real-time performance of the traditional cable security system, false alarm against theft, high false alarm rate, etc. An anti-theft alarm system based on Adaboost recognition algorithm, STM32 and uCOS 鈪，

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