基于Adaboost识别算法的电力塔杆拉线防盗报警系统的研究

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。

Research of power pole line anti-theft alarm system based on Adaboost classification algorithm

In recent years, power pole line theft usually occurs.To conquer the problem of the traditional cable anti-theft system like its poor real-time, false negative and positive in burglar alarm, a new system for power pole line anti-theft alarm system based on Adaboost algorithm STM32 and uCOS Ⅱ is designed in this paper.The alarm system takes the STM32 microprocessor as a core, and equipped with uCOS Ⅱ operating system, it can collect and process data in real time.We judge the state of line through the Adaboost algorithm, and it can send the result to operation and maintenance personnel by GSM.The practical engineering application shows that the system has good real-time and high reliability, the early warning accuracy rate is achieved 89.4％ or more, and the alarm accuracy rate can reach 100％, which has practical value for product engineering.