再热门阀壳微区形变数据监测与误差分析OA
Data monitoring and error analysis of micro-area deformation of reheat valve shell
为了解决火电机组再热门阀壳监测困难的问题,设计了一套基于 5G的应变和温度无线监测系统,采用高温应变片和K型热电偶,构建了边缘端应变和温度的调理与采集系统,外接 5G工业网关实现高宽带、低延迟的远程数据传输,数据可存储在现场设备和云端服务器.设计了Vue+Spring Boot物联网服务程序,提供异地多用户远程访问功能.经过实验验证,网络延迟在ms数量级,数据传输准确率达到99.7%,变形模型阶数为2 时预测性能较好,最大主应变模型具有较低的误差,满足再热门阀壳高温微区应变无线监测的要求.
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.
应爱国;丁杰康;李根;沈倞;张周博
华能(浙江)能源开发有限公司长兴分公司,浙江 湖州 313105华能(浙江)能源开发有限公司长兴分公司,浙江 湖州 313105华能(浙江)能源开发有限公司长兴分公司,浙江 湖州 313105华能(浙江)能源开发有限公司长兴分公司,浙江 湖州 313105西安热工研究院有限公司,陕西 西安 710054
能源科技
火电机组高温微区应变应变测量物联网5G无线传输
thermal power unithigh-temperature micro-strainstrain measurementinternet of Things(IoT)5G wireless transmission
《重型机械》 2025 (5)
56-60,5
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