Wireless Sensor Networks (WSN) represent a relatively modern concept which has captured the interest of many in the research community. Coupled with appropriate hardware, they offer great flexibility in terms of their applicability to solving real world problems. This can be seen with applications ranging from environmental issues to healthcare and even artificial intelligence. Much of the work relating to WSN has been predominantly in the research domain. and so it is the purpose of this study to investigate ways in which they can be applied to solve industrial issues. This study particularly considers inventory management in the airline and packaged gas industries where there are many common fundamental requirements. A prototype system is presented which includes a database to record and obtain relevant tracking data in order to facilitate asset identification. Information of how this system may be applied within each industry is also included, in addition to how WSN can be utilised to fulfil the specific needs of individual industries through the use of custom built hardware and sensors. Initial experimental results of this system are also given along with experimental results pertaining to the suitability of WSN devices in industry. Despite WSN devices being still relatively new many advances have been made in order to make them more powerful and also smaller. However, as the size of the devices has decreased very been done with regards to critical components such as the antenna. As a result this work looks at the production of an industrially suitable antenna in terms of its design, construction and testing. Finally, wireless sensing in the automotive industry is briefly discussed. The apphcation of WSN in the automotive industry aims to improve recent spot weld monitoring techniques which determine the quality and integrity of a spot weld in real-time.
Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:494052 |
Date | January 2008 |
Creators | Mason, Alex |
Publisher | Liverpool John Moores University |
Source Sets | Ethos UK |
Detected Language | English |
Type | Electronic Thesis or Dissertation |
Source | http://researchonline.ljmu.ac.uk/5895/ |
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