智能工业自动化中大规模传感技术的智能化发展

G. S, Mahesh Tr
{"title":"智能工业自动化中大规模传感技术的智能化发展","authors":"G. S, Mahesh Tr","doi":"10.1109/ICDCECE57866.2023.10150691","DOIUrl":null,"url":null,"abstract":"Intelligent industrial automation is becoming increasingly popular, as companies look to automate processes and maximize efficiency. One way they are achieving this is through the use of large scale sensing techniques. These techniques enable companies to monitor the performance of their equipment and make adjustments if necessary. Large scale sensing techniques are used in industrial automation to detect physical quantities such as temperature, pressure, flow, and vibration. By using sensors, companies can detect problems before they become serious issues. This allows them to make changes and keep their machines running as efficiently as possible. Large scale sensing techniques are also used to monitor the environment in which machines are operating. This can help companies identify potential risks, such as high temperatures or humidity, and take the necessary measures to avoid damage. It can also help companies make better decisions about how to deploy their resources to maximize efficiency. Lastly, large scale sensing techniques can be used for predictive maintenance. By monitoring the performance of machines, companies can detect potential problems early on and take preventive measures before they become serious. This helps to avoid costly repairs and downtime, and ensures that companies are able to keep their machines running smoothly.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Smart Development of the Large Scale Sensing Techniques in Intelligent Industrial Automation\",\"authors\":\"G. S, Mahesh Tr\",\"doi\":\"10.1109/ICDCECE57866.2023.10150691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Intelligent industrial automation is becoming increasingly popular, as companies look to automate processes and maximize efficiency. One way they are achieving this is through the use of large scale sensing techniques. These techniques enable companies to monitor the performance of their equipment and make adjustments if necessary. Large scale sensing techniques are used in industrial automation to detect physical quantities such as temperature, pressure, flow, and vibration. By using sensors, companies can detect problems before they become serious issues. This allows them to make changes and keep their machines running as efficiently as possible. Large scale sensing techniques are also used to monitor the environment in which machines are operating. This can help companies identify potential risks, such as high temperatures or humidity, and take the necessary measures to avoid damage. It can also help companies make better decisions about how to deploy their resources to maximize efficiency. Lastly, large scale sensing techniques can be used for predictive maintenance. By monitoring the performance of machines, companies can detect potential problems early on and take preventive measures before they become serious. This helps to avoid costly repairs and downtime, and ensures that companies are able to keep their machines running smoothly.\",\"PeriodicalId\":221860,\"journal\":{\"name\":\"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDCECE57866.2023.10150691\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCECE57866.2023.10150691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着公司寻求流程自动化和效率最大化,智能工业自动化正变得越来越流行。他们实现这一目标的一种方法是使用大规模传感技术。这些技术使公司能够监控设备的性能,并在必要时进行调整。大规模传感技术在工业自动化中用于检测物理量,如温度、压力、流量和振动。通过使用传感器,公司可以在问题变得严重之前发现问题。这允许他们进行更改并保持机器尽可能高效地运行。大规模的传感技术也被用于监测机器运行的环境。这可以帮助企业识别潜在的风险,如高温或潮湿,并采取必要的措施,以避免损坏。它还可以帮助企业更好地决定如何部署资源,以最大限度地提高效率。最后,大规模传感技术可用于预测性维护。通过监控机器的性能,公司可以及早发现潜在的问题,并在问题变得严重之前采取预防措施。这有助于避免昂贵的维修和停机时间,并确保公司能够保持机器平稳运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Smart Development of the Large Scale Sensing Techniques in Intelligent Industrial Automation
Intelligent industrial automation is becoming increasingly popular, as companies look to automate processes and maximize efficiency. One way they are achieving this is through the use of large scale sensing techniques. These techniques enable companies to monitor the performance of their equipment and make adjustments if necessary. Large scale sensing techniques are used in industrial automation to detect physical quantities such as temperature, pressure, flow, and vibration. By using sensors, companies can detect problems before they become serious issues. This allows them to make changes and keep their machines running as efficiently as possible. Large scale sensing techniques are also used to monitor the environment in which machines are operating. This can help companies identify potential risks, such as high temperatures or humidity, and take the necessary measures to avoid damage. It can also help companies make better decisions about how to deploy their resources to maximize efficiency. Lastly, large scale sensing techniques can be used for predictive maintenance. By monitoring the performance of machines, companies can detect potential problems early on and take preventive measures before they become serious. This helps to avoid costly repairs and downtime, and ensures that companies are able to keep their machines running smoothly.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信