DocumentCode :
238316
Title :
Location based equipment identification with configurable actions for Industrial plants
Author :
Nanyam, Hemadri Pavan Kumar ; Rahul, Raj C. P. ; Tolety, SeshuBabu
Author_Institution :
Siemens Technol. & Services Pvt Ltd., Bangalore, India
fYear :
2014
fDate :
8-10 May 2014
Firstpage :
402
Lastpage :
405
Abstract :
Equipment identification is one of the important challenges in Industrial plants. Most of existing equipment identification techniques uses an identification code such as QR code, RFID [1] or a reference image [2] to identify the equipments uniquely. These techniques demand the user to manually point the tracking device at the equipment for identification. The pain point here is in locating the QR code/RFID tag on the equipment and scanning the identification code thereafter. Also any wear and tear in the identification code will adversely affect the equipment identification process. Moreover, it requires more effort in terms of time, proper planning and execution for generating and managing identification code for the equipment.Another challenge is to take appropriate action(s) once the equipment is identified. Typically these actions will be implemented as a part of the software application in the tracking device. The software application in the electronic device handles the execution of these actions. Addition of any new action will require a software update on the tracking device. Managing the release overheads is another pain point in this context.This article deals with a mobile solution, to overcome these challenges and difficulties. This solution identifies the equipments based on the location details of the equipment. It also has the capability to performing resultant actions configured from a central location.
Keywords :
industrial plants; production equipment; radiofrequency identification; QR code; RFID tag; electronic device; equipment identification process; equipment identification technique; identification code; industrial plants; location based equipment identification; mobile solution; reference image; software application; software update; tracking device; Conferences; Context; Industrial plants; Mobile communication; Mobile handsets; Object recognition; Software; Configurable Actions; Equipment Identification; Fixed Equipment; Identification Code; Industrial Plants; Location Identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4799-3913-8
Type :
conf
DOI :
10.1109/ICACCCT.2014.7019472
Filename :
7019472
Link To Document :
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