重型机械Issue(5)：56-60,5.
再热门阀壳微区形变数据监测与误差分析
Data monitoring and error analysis of micro-area deformation of reheat valve shell
应爱国 1丁杰康 1李根 1沈倞 1张周博2
作者信息
- 1. 华能(浙江)能源开发有限公司长兴分公司,浙江 湖州 313105
- 2. 西安热工研究院有限公司,陕西 西安 710054
- 折叠
摘要
Abstract
A wireless monitoring system based on 5G strain and temperature was designed to address the difficulty of monitoring the reheater valve casing in thermal power units.High-temperature strain gauges and K-type thermocouples were selected.A conditioning and acquisition system for strain and temperature at the edge was designed,which was connected to a 5G industrial gateway for high-bandwidth,low-latency remote data transmission.The data could be stored on-site and in cloud servers.A Vue+Spring Boot IoT service program was developed to provide remote access functionality for multiple users in different locations.Experimental verification showed that the network latency was in the millisecond range,and the data transmission accuracy reached 99.7%,The deformation model with an order of 2 has better predictive performance,and the maximum principal strain model has lower errors,meeting the requirements of wireless monitoring of high-temperature micro-strain in the reheater valve casing.关键词
火电机组/高温微区应变/应变测量/物联网/5G无线传输Key words
thermal power unit/high-temperature micro-strain/strain measurement/internet of Things(IoT)/5G wireless transmission分类
能源科技引用本文复制引用
应爱国,丁杰康,李根,沈倞,张周博..再热门阀壳微区形变数据监测与误差分析[J].重型机械,2025,(5):56-60,5.
