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Implementation of integrated systems monitoring tool for power and network applications in expressways

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dc.contributor.advisor Chandima, D.P
dc.contributor.advisor Wickramarachchi, N.K
dc.contributor.author Jayasuriya, N.R.E
dc.date.accessioned 2018-06-12T22:23:28Z
dc.date.available 2018-06-12T22:23:28Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/13164
dc.description.abstract With the rapid development of information and communication technology, use of electronic and telecommunication based systems is increasing day by day. It improves the efficiency and quality of most of the traditional work flows by replacing fully manual operation procedures with fully automated systems or with partially automated operation with significantly reduced number of staff. Operation of all modern expressways uses such systems significantly in large geographically distributed area for efficient management of expressways with enhanced comfortability and safety. But it will add an additional workload on expressway maintenance team to manage all critical systems in operation with minimum or theoretically with zero downtime. System monitoring is one of the key elements in systems operation to verify its operation. It helps system maintenance team to identify the status of the system remotely. But, the system monitoring has not been implemented completely in Sri Lankan expressways, causing difficulties to identify system problems as soon as they occur. It was understood that this factor has major impact on the reliability of the systems operation by studying past operation experience. Hence the objective of the proposed design is to improve availability and reliability by minimizing down times of IT and Electronic systems in the expressway. During the first part of this research, operation of two similar scenarios was selected for background study. Initial study is from Japan, which is a country of having more than fifty year experience of operation of the expressways and related facilities. Second study is performed with Sri Lanka Telecom, the pioneer of the telecommunication industry in Sri Lanka. Reliability analysis was performed based on the log book entries of the systems maintenance team of Southern and Outer Circular expressways in Sri Lanka, to identify possible scenarios of faults occurred and how its effect on the reliability of critical systems and challenges faced on identification of faults during corrective maintenance sessions. As the second part, theoretical design of an integrated systems monitoring application was carried out by following modular design approach. The design is covered all critical functional blocks of a monitoring system with a model for performance analysis. The new design consists of several improvements over conventional monitoring systems to enhance the functionality. Several methods were designed for alarm optimization to reduce number of repetitive alarms. Heuristic knowledge base was linked with the designed monitoring system, hence it ensures that the maintenance personal is updated with its all history records before attending to the repair. Implementation of designed monitoring system was completed in all critical components. It included both software and hardware module implementation and deployment. All modules use open protocols and open source software components. Several functional tests were carried out with their performance values both in a test bed and in the production environment. The results indicated that the system is working as expected and help to improve the availability of systems through proposed methodologies. en_US
dc.language.iso en en_US
dc.subject Alarm optimization en_US
dc.subject Failure modes en_US
dc.subject Fault detection en_US
dc.subject Integrated monitoring en_US
dc.subject Protocols en_US
dc.subject Redundant systems en_US
dc.subject System reliability and availability en_US
dc.title Implementation of integrated systems monitoring tool for power and network applications in expressways en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree Master of Science in Industrial Automation en_US
dc.identifier.department Department of Electrical Engineering en_US
dc.date.accept 2017-05
dc.identifier.accno TH3348 en_US


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