Development of intelligent network monitoring and data mining system for natural gas transmission pipelines
In the garden city Singapore, the energy consumption is getting higher for each year. In order to get sufficient and reliable energy supply, the Energy Market Authority (EMA) was established to be part of the government sector to remove some of the restrictions for the electricity market in 2001[1...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/70779 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | In the garden city Singapore, the energy consumption is getting higher for each year. In order to get sufficient and reliable energy supply, the Energy Market Authority
(EMA) was established to be part of the government sector to remove some of the
restrictions for the electricity market in 2001[1]. As for now, about 95 percent
energy supply is generated by natural gas[1]. Furthermore, most of the natural gas
transmission and distribution network is underground. Thus, when there is a pipeline
fault occurs, it is difficult to monitor the fault. In this project, a simulation by
National Instruments LabView software was conducted. It will be simulated by
laying the sensors onto a pipeline and test on different situations which consist of
temperature, strain and acoustic emission. The final output of this system will be
included a user interface which allowed user to change and monitor every sensor
from the sample pipe. |
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