Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/8759
Title: Wireless IoTSP Platform for Smart Factory:Field Device Monitoring and Augmented Reality
Authors: Gandhi, Mihit
Keywords: Computer 2015
Project Report 2015
Computer Project Report
Project Report
15MCE
15MCEC
15MCEC13
Issue Date: 1-Jun-2017
Publisher: Institute of Technology
Series/Report no.: 15MCEC13;
Abstract: Internet of Things adoption in traditional and slow changing industrial plants such as power, water, oil-gas and chemical has proven to be beneficial in providing business value by transforming the way data is utilized in decision making and visualization. Typical industrial IoT use cases involve acquiring data from sensor devices in plant and communicating the same to internet for local or remote monitoring and control. The sensor data acquisition in an industrial plant thus becomes paramount as the same acquired data is used for bringing out the underlying knowledge of system. IoT typically requires a local, low power wireless communication to acquire data from sensor devices and local gateway that can be connected to internet for local or remote monitoring and control. This paper describes how Bluetooth low energy (BLE) technology can be used to connect sensor nodes to Internet-based services and applications using gateway in an industrial plant. It also investigates the performance of BLE technology as a local communication for sensor device monitoring. IoT infrastructure for a smart factory consists of lot of complex software which need to be tested properly. Some software application involve lots of user interactions and some are fully automated based on control signal. With the increase of technology, demand for proper testing methodology has got increased as well. There are lots techniques and tools for software testing. Different tools are used for different applications based on the requirement, technology and type.Among them, one of the most popular technique is model based testing. Due to its advantages of low cost and low time complexity, it is the best suitable approach for most of the applications. Through the thesis, I have contributed in Internet of Things based Application and Bluetooth infrastructure which is collect data from different sensors via Bluetooth, applied algorithms on that data and generating results from that. Internet of Things based Application is also doing more interactive and immersed interaction with devices using Augmented Reality.
URI: http://10.1.7.192:80/jspui/handle/123456789/8759
Appears in Collections:Dissertation, CE

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