摘要
为了实现对电缆接头温度的实时化、精确化监测,应用窄带物联网技术,设计一款功能完善、实用性强的电缆接头温度监测系统。从供电单元设计、温度采集节点设计2个方面入手,进行系统硬件设计。从MCU主控程序设计、窄带物联网通信设计、物联网通信协议设计、SSA-BP神经网络模型设计等入手,完成系统软件设计,测试了系统性能。结果表明,在窄带物联网技术的应用背景下,所设计的电缆接头温度监测系统运行正常、可靠、稳定,具有功耗低、测量精确度高特点,完全满足电缆接头温度智能化监测需求。
In order to achieve real-time and accurate monitoring of cable joint temperature,a cable joint temperature monitoring system with perfect functions and strong practicability is designed by using narrow band Internet of Things technology.Starting from the design of the power supply unit and the temperature acquisition node,the system hardware design was carried out.Starting from MCU control program design,narrowband IoT communication design,IoT communication protocol design,SSA-BP neural network model design,etc.,the system software design was completed and the system performance was tested.The results showed that under the application background of narrowband Internet of Things technology,the designed cable joint temperature monitoring system operated normally,reliably and stably,had the characteristics of low power consumption and high measurement accuracy,fully meeting the requirements of intelligent monitoring of cable joint temperature.
作者
李扬
杨正富
张晓剑
李温静
LI Yang;YANG Zhengfu;ZHANG Xiaojian;LI Wenjing(State Grid Xiong’an Sgitg Digital Technology Co.,Ltd.,Xiong’an New Area 071701,China;State GridInformation&Telecommunication Co.,Ltd.,Beijing 100192,China)
出处
《粘接》
CAS
2024年第3期141-144,共4页
Adhesion
基金
国网信息通信产业集团有限公司科技项目(项目编号:546836210001)。
关键词
窄带物联网
物联通信协议
电缆接头
温度监测
神经网络
narrow band internet of things
IoT communication protocol
cable connector
temperature monitoring
neural network