开关柜智能温度监测系统设计  

Design of the Intelligent Temperature Monitoring System for Switcher Cabinet

作　　者：刘南艳[1] 付秋实[2] 刘菁[1] 

机构地区：[1]西安科技大学计算机科学与技术学院,陕西西安710054 [2]西安科技大学电气与控制工程学院,陕西西安710054

出　　处：《自动化仪表》2016年第5期79-82,共4页Process Automation Instrumentation

基　　金：陕西省教育厅科学研究计划基金资助项目(编号:2013JK1188)

摘　　要：针对目前开关柜在线温度监测系统不能对未来温度进行准确预测的问题,在传统开关柜温度监测系统的基础上,引入BP神经网络算法,设计出一种智能开关柜温度监测系统。系统采用高精度数字温度传感器进行数据采集,并将这些数据存储到SQLite数据库中;利用神经网络算法对温度值进行预测和报警;分别基于Qt和HTML编写人机交互界面,使监测人员可以方便地获取温度数据。实验表明,该系统可准确地对开关柜温度进行监测和短期预测,能够满足实际需要。Aiming at the problem of existing on line temperature monitoring system for switcher cabinets ,i. e. ,it is unable to accurately predict future temperature ,a new type of temperature monitoring system with BP Neural network algorithm is designed based on traditional switch cabinet temperature monitoring system. In the system,high - accuracy digital temperature sensors are adopted for data acquisition,and the data are stored in SQLite database; then the neural network algorithm is used to predict the temperature value and issue alarm information. The Qt-based human-computer interaction interface HTML-based enable the technician obtain temperature data conveniently. The experimental results show that the system can monitor and short - term forecast the temperature in switcher cabinet, and meet the actual requirements.

关 键 词：开关柜 温度预警 监测系统 神经网络 智能电网 温度传感器 人机交互界面 DS18B20 ARM 

分 类 号：TH8[机械工程—仪器科学与技术] TP277[机械工程—精密仪器及机械]