Design of Industrial Field Intelligent Temperature Acquisition System Based on Timestamped Anti-Interference Algorithm

Chunjie Yang, Bingchun Jiao, Hongbo Kang, Yanwei Li, Yan Liu, Yifan Wu, Shujie Ma
{"title":"Design of Industrial Field Intelligent Temperature Acquisition System Based on Timestamped Anti-Interference Algorithm","authors":"Chunjie Yang, Bingchun Jiao, Hongbo Kang, Yanwei Li, Yan Liu, Yifan Wu, Shujie Ma","doi":"10.1109/SSCI44817.2019.9002928","DOIUrl":null,"url":null,"abstract":"At present, wired method is used widely in the acquisition and transmission of field signals in industrial field acquisition system. There are some problems such as long cables, difficult wiring, analog signals that are susceptible to interference and so on. A new design of industrial field intelligent temperature acquisition system based on timestamped anti-interference algorithm is presented in the paper. The system can collect analog signals of PT100 and convert that to digital signals which are transmitted to the control center by Data Transceiver. When the signals reach the control center, the system will process digital signals, and set up T-R relation table based on least square algorithm, and at last, the signals are restored to resistance signals of PT100 by using multichannel digital potentiometers. The system uses wireless transmission instead of wired transmission, to realize the collection, transmission and recovery of thermal resistance information, and solve the interference problem of long-distance wireless communication. Experimental test verify that the system communication is normal, stability and accurate, which provides a reasonable design scheme for the application of data transmission technology in industrial field.","PeriodicalId":6729,"journal":{"name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":"31 1","pages":"2884-2889"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSCI44817.2019.9002928","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

At present, wired method is used widely in the acquisition and transmission of field signals in industrial field acquisition system. There are some problems such as long cables, difficult wiring, analog signals that are susceptible to interference and so on. A new design of industrial field intelligent temperature acquisition system based on timestamped anti-interference algorithm is presented in the paper. The system can collect analog signals of PT100 and convert that to digital signals which are transmitted to the control center by Data Transceiver. When the signals reach the control center, the system will process digital signals, and set up T-R relation table based on least square algorithm, and at last, the signals are restored to resistance signals of PT100 by using multichannel digital potentiometers. The system uses wireless transmission instead of wired transmission, to realize the collection, transmission and recovery of thermal resistance information, and solve the interference problem of long-distance wireless communication. Experimental test verify that the system communication is normal, stability and accurate, which provides a reasonable design scheme for the application of data transmission technology in industrial field.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于时间戳抗干扰算法的工业现场智能温度采集系统设计
目前,在工业现场采集系统中,广泛采用有线方式进行现场信号的采集和传输。存在电缆长、布线困难、模拟信号容易受到干扰等问题。提出了一种基于时间戳抗干扰算法的工业现场智能温度采集系统的设计方案。该系统可以采集PT100的模拟信号,并将其转换为数字信号,通过数据收发器传输到控制中心。当信号到达控制中心后,系统对数字信号进行处理,并基于最小二乘算法建立T-R关系表,最后通过多路数字电位器将信号还原为PT100的电阻信号。该系统采用无线传输代替有线传输,实现了热阻信息的采集、传输和恢复,解决了远距离无线通信的干扰问题。实验测试验证了系统通信正常、稳定、准确,为数据传输技术在工业领域的应用提供了合理的设计方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Planning for millions of NPCs in Real-Time Improving Diversity in Concept Drift Ensembles Self-Organizing Transformations for Automatic Feature Engineering Corrosion-like Defect Severity Estimation in Pipelines Using Convolutional Neural Networks Heuristic Hybridization for CaRSP, a multilevel decision problem
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1