Online Inspection System, Data Acquisition and Processing For Fault Diagnostics Using Edge Analytics and Cloud Based Data Acquisition and Reporting System

Authors(2) :-Abhishek S, Dr K.R Prakash

The cost of Data and its speed continue to follow a downward trajectory with the advent of 4G and 5G technologies. This coupled with the low cost of data storage offered by the cloud computing environment in the form of IAAS (Infrastructure as a Service) holistically provides an impetus towards making technology available for everyday use. Consider a consumer electronic equipment such as a washing machine. It contains sub systems such as Power Supply Board, Electronic control board interfaced with a number of sensors, buzzers, LCD, ADC and several other components such as Motors, relays and regulators which work in sync and perform the intended operation as a standalone device. Providing tapping points or boundary scanning mechanism to gather data which are critical to the device functionality(such as Motor speed, its RPM, the voltage levels of the Power supply board, the sensor data, the data from the onboard controller )and introducing them to an embedded computing environment where they are analyzed onboard by an algorithm which performs edge analytics to make decisions based on the criticality of the parameter values provides a first level of defense in case of device deterioration. The second and a more consistent approach would involve leveraging the connectivity of the embedded board on the device to a cloud computing environment through the World Wide Web. The service center accesses the individual devices present in their locality on their Web portal and can get real time information about the device performance, idle time, time for routine service check , the wear and tear undergone by an individual sub system in the device and can undertake a precautionary care by intimating the user to shut down the system in case a deviation from the normal behavior occurs thereby saving considerable amount of time and man hours spent on trouble shooting the problem. The User and the Service provider are thus in a Win all situation where in the user is exempted from being annoyed by making calls to the customer care and the Service Provider can monitor the device in real time and guarantee 100% user satisfaction.

Authors and Affiliations

Abhishek S
Industrial Automation and Robotics, Department of Mechanical Engineering, NIE, Mysore, Karnataka, India
Dr K.R Prakash
Professor and Head, Industrial Automation and Robotics, Department. of Mechanical Engineering, NIE, Mysore, Karnataka, India

Cloud Computing, IAAS, Embedded Computing, Edge Analytics

  1. GE predix-platform, “Predix: The Industrial Internet Platform”.
  2. Asim Majeed, “Efficient edge analytics in Internet-of-Things (IoT)” 2017 IEEE 7th Annual Computing and Communication.
  3. E. Comer, Computer Networks and Internets. Pearson Education Fifth Edition, 2008.

Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 697-700
Manuscript Number : CSEIT1846131
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Abhishek S, Dr K.R Prakash, "Online Inspection System, Data Acquisition and Processing For Fault Diagnostics Using Edge Analytics and Cloud Based Data Acquisition and Reporting System", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.697-700, May-June-2018.
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