With the increasing dependence on machines, the accidental and wear and tear costs has also risen, and even in some cases loss of lives also occur, all are due to improper or delayed information retrieval.   In this project, our aim is to subside the machine related damages by designing a ubiquitous data acquisition system for various surrounding machines using hand held devices like Smartphone's or PDAs, pre-installed with required application software, and by analyzing the procured data sets (from smart sensors onto the mobiles), decisions are delivered.   This framework combines various sensors like temperature, vibration, acoustic, current, voltage sensors etc linked to the machines and a handheld device like mobile. For data acquisition, mobile sets use the wireless telephony or internet services like GPRS or GSM/CDMA or 3G etc or even in built Bluetooth technologies of their mobile sets for shorter range information retrieval from various sensors fitted on machines and analysis is done by comparing the original and best performance data sets stored in a mobile database with the pre-fetched instant data sets and the deviations are calculated using pre-requisites formulae to judge the criticality of the situation. The mobile set is installed with a J2ME application with user-friendly interface, which do the above comparison, data analysis and decisions deliverance in the form of alerts and actions.
['Bikramjit Singh', 'Saurabh Puri', 'Prateek Kesarwani']
Wireless machine monitoring embodiment using mobile computing