{"title":"传感器解决方案和预测性维护工具,以减少窑炉和输送带停机时间","authors":"Felix Bartknecht, Moritz Siegfried, Harald Weber","doi":"10.1109/CITCON.2019.8729094","DOIUrl":null,"url":null,"abstract":"This paper will discuss the importance and benefits of sensors and their applications for predictive maintenance in today’s modern cement plants. Increased attention is to be paid in particular to technologies used for process gas monitoring at the kiln inlet area as well as modern LiDAR sensors applied on conveyor belts. In combination with analyzing parameters of condition in different machineries of a cement plant, added value can be created leading e.g. to increased production rates and higher capital efficiency.","PeriodicalId":135175,"journal":{"name":"2019 IEEE-IAS/PCA Cement Industry Conference (IAS/PCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Sensors Solutions and Predictive Maintenance Tools to Decrease Kiln and Conveyor Belt Downtime\",\"authors\":\"Felix Bartknecht, Moritz Siegfried, Harald Weber\",\"doi\":\"10.1109/CITCON.2019.8729094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper will discuss the importance and benefits of sensors and their applications for predictive maintenance in today’s modern cement plants. Increased attention is to be paid in particular to technologies used for process gas monitoring at the kiln inlet area as well as modern LiDAR sensors applied on conveyor belts. In combination with analyzing parameters of condition in different machineries of a cement plant, added value can be created leading e.g. to increased production rates and higher capital efficiency.\",\"PeriodicalId\":135175,\"journal\":{\"name\":\"2019 IEEE-IAS/PCA Cement Industry Conference (IAS/PCA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE-IAS/PCA Cement Industry Conference (IAS/PCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CITCON.2019.8729094\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE-IAS/PCA Cement Industry Conference (IAS/PCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITCON.2019.8729094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensors Solutions and Predictive Maintenance Tools to Decrease Kiln and Conveyor Belt Downtime
This paper will discuss the importance and benefits of sensors and their applications for predictive maintenance in today’s modern cement plants. Increased attention is to be paid in particular to technologies used for process gas monitoring at the kiln inlet area as well as modern LiDAR sensors applied on conveyor belts. In combination with analyzing parameters of condition in different machineries of a cement plant, added value can be created leading e.g. to increased production rates and higher capital efficiency.