dc.contributor.advisor | Lu, Mi | |
dc.contributor.advisor | Ji, Jim X | |
dc.creator | Ou, Xiaoxi 1986- | |
dc.date.accessioned | 2013-12-16T19:55:28Z | |
dc.date.available | 2013-12-16T19:55:28Z | |
dc.date.created | 2011-08 | |
dc.date.issued | 2011-08-08 | |
dc.date.submitted | August 2011 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-2011-08-10170 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/150952 | |
dc.description.abstract | Detection of encroachment on pipeline right-of-way is important for pipeline safety. An effective system can provide on-time warning while reducing the probability of false alarms. There are a number of industry and academic developments to tackle this problem. This thesis is the first to study the use of a wireless sensor network for pipeline right-of-way encroachment detection. In the proposed method, each sensor node in the network is responsible for detecting and transmitting vibration signals caused by encroachment activities to a base station (computer center). The base station monitors and analyzes the signals. If an encroachment activity is detected, the base station will send a warning signal. We describe such a platform with hardware configuration and software controls, and the results demonstrate that the platform is able to report our preliminary experiments in detecting digging activities by a tiller in the natural and automotive noise. | en |
dc.format.mimetype | application/pdf | |
dc.subject | Wireless Sensor Network | en |
dc.subject | Pipeline Safety | en |
dc.title | Localized Pipeline Encroachment Detector System Using Sensor Network | en |
dc.type | Thesis | en |
thesis.degree.department | Electrical and Computer Engineering | en |
thesis.degree.discipline | Electrical Engineering | en |
thesis.degree.grantor | Texas A & M University | en |
thesis.degree.name | Master of Science | en |
thesis.degree.level | Masters | en |
dc.contributor.committeeMember | Chan, Andrew | |
dc.contributor.committeeMember | Williams, Tiffani | |
dc.type.material | text | en |
dc.date.updated | 2013-12-16T19:55:29Z | |