摘要
针对现有的电力通信机房监测技术存在的无法实时监测机房环境、人工巡检工作量大、监测频率和数据准确性不高等问题,设计一套基于物联网的电力通信机房智能监测系统。该系统采用图像识别技术自动读取各种电力通信设备仪表示数,显著提升数据采集效率和准确性,并基于FreeRTOS的低功耗传感器节点,通过远距离无线电(Long Range Radio,LoRa)技术实现远距离数据传输。同时,该系统采用多任务架构,结合霍夫圆变换、边缘检测等算法实现电力通信设备仪表读数的精确识别。实测结果表明,该系统不仅大幅提高了数据采集的自动化水平,还通过低功耗设计延长了设备的工作时间,为实现电力通信机房智能监测提供了可靠的技术支持。
Design an intelligent monitoring system for power communication rooms based on the Internet of Things to address the problems of inability to monitor the room environment in real time,heavy manual inspection workload,low monitoring frequency and data accuracy in existing monitoring technologies.The system uses image recognition technology to automatically read the readings of various power communication equipment instruments,significantly improving data acquisition efficiency and accuracy.Based on the low-power sensor nodes of FreeRTOS,it achieves long-distance data transmission through Long Range Radio(LoRa)technology.At the same time,the system adopts a multitasking architecture and combines algorithms such as Hough circle transformation and edge detection to achieve accurate recognition of instrument readings in power communication equipment.The actual test results show that the system not only significantly improves the automation level of data acquisition,but also extends the working time of equipment through low-power design,providing reliable technical support for intelligent monitoring of power communication rooms.
作者
刘琪
张琳美
LIU Qi;ZHANG Linmei(Zhengzhou University of Commerce,Zhengzhou 450000,China)
出处
《通信电源技术》
2024年第18期43-45,136,共4页
Telecom Power Technology
关键词
物联网
电力通信
机房监测
Internet of Things
electric power communication
computer room monitoring