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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yang Liu Qingxue Bao Changfeng Jing Yue Zhang |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Geomatics & Urban Inf., Beijing Univ. of Civil Eng. & Archit., Beijing, China (Yang Liu; Changfeng Jing; Yue Zhang) || People's Bank of China, Shenyang, China (Qingxue Bao) |
| Abstract | Motivated by commercial interests, huge amounts of large billboards were standing up along the city streets, which has becoming a serious security risk for the urban residents. Because of this, the real time monitoring for these billboards has been paid more attention by the department of municipal management. As traditional supervisory methods tend to give priority to artificial inspections, which was time-consuming and labor intensive. For resolving this kind of problem, a monitoring and early warning method for large billboards based on tilt sensors was proposed in this paper, and monitoring and early warning system were developed as well, which can be used to collect, query the real-time monitoring information of inclined angle of large billboards and make an early alerts when the inclined angle exceeds a certain value. As such, this system can provide a service of broadcasting the real time early warning information to the city managers or public. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 701201 |
| Page Count | 4 |
| File Format | |
| ISSN | 2161024X |
| e-ISBN | 9781467376631 |
| DOI | 10.1109/GEOINFORMATICS.2015.7378553 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tilt sensor Large billboards Monitoring and warning system Monitoring |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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