DocumentCode :
3729206
Title :
Mobile-cloud driven conditional monitoring system: A practical perspective
Author :
Manasvi Jain;Seshu Babu Tolety;Hemadri Pavan Kumar;Pinku Hazarika;Sanath Shenoy
Author_Institution :
Siemens Technologies and Services Private Limited, Bangalore India
fYear :
2015
Firstpage :
388
Lastpage :
392
Abstract :
Modern Industrial automation system are totally software driven. The software that drives the system generates significant amount of data. This data can be used for monitoring of the industrial plants critical parameters to take decisions on time-critical actions and visualization of the plant behavior. These actions could be controlled by the user or automated. The Advent of cloud and mobile computing technologies has brought about convenience of accessibility of data on the finger tips. The cloud on the other hand provides infrastructure and service to leverage these opportunities. A conditional monitoring system is used to monitor the critical parameters of an Industrial plant. Conventionally these parameters of the plant are available to the users within the premise in the standalone computers. A better solution is to have the conditional monitoring system be migrated to cloud so that the monitoring of the industrial plant can be done from any part of the world with the help of cloud services and the smart mobile phones available in the consumer market. This concept would revolutionize the perspective of the industrial conditional monitoring. This also helps integrate the legacy industrial automation system with new technologies such as mobile cloud and Internet of things (IOT) so that the new technological improvements can be leveraged for improvements in the Industrial automation domain.
Keywords :
"Monitoring","Cloud computing","Databases","Mobile handsets","Industrial plants","Automation","Mobile applications"
Publisher :
ieee
Conference_Titel :
Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICGCIoT.2015.7380494
Filename :
7380494
Link To Document :
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