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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liting Cao Jingwen Tian Zhaoli Zhang |
| Copyright Year | 2008 |
| Description | Author affiliation: Beijing Union Univ., Beijing (Liting Cao; Jingwen Tian; Zhaoli Zhang) |
| Abstract | An elevator group control system based on information fusion is presented in this paper. The control system is consisting of data processing unit and elevator dispatching unit mainly. A fuzzy ANN based on data fusion technology is proposed in the data processing unit to process state signals, and the fusion result is used as the input of elevator dispatching unit. The simulation is in allusion to the data of an office building by MATLAB. Comparing with normal fuzzy ANN, the fuzzy ANN based on data fusion of single elevator reduced the complexity of elevator dispatching unit and improve the response speed. The elevator dispatching pattern is optimized, the service quality of elevator is improved, and the transportation efficiency of elevator is increased by using this control system. The system in this paper can be put in practice to realize automatically optimized dispatching of elevator group and produce enormous economy benefit. |
| Starting Page | 473 |
| Ending Page | 473 |
| File Size | 452018 |
| Page Count | 1 |
| File Format | |
| ISBN | 9780769531618 |
| DOI | 10.1109/ICICIC.2008.246 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Artificial neural networks Control systems Data processing Elevators Dispatching Data models Floors |
| Content Type | Text |
| Resource Type | Article |
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