| Título: | The Study of Smart Grid Knowledge Visualization Key Technologies |
| Autores: |
Qu, Zhaoyang; Northeast Dianli University Hou, Songlin; Northeast Dianli University Zhu, Li; Northeast Dianli University Yan, Jia; Power of information and communications companies,Changchun Xu, Shaoqing; Power of information and communications companies,Changchun |
| Fecha: | 2013-07-22 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
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| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | smart grid; visual reality; knowledge-based reasoning; collision detection; coordination mechanism |
| Descripción: | To solve the problems of knowledge visualization for smart grid, such as single manifestations, low-efficient use and not high model reuse rate, a general three-dimensional smart grid knowledge visualization model was presented in this paper. First, the construction method of grid device models based on knowledge-based reasoning was given. Then, the grid visual scene building method was proposed. This included rapid scene organization strategy, and exploration on the storage and re-use mechanism of three-dimensional visualization scene. Moreover, collision detection using swarm intelligence and bionic computing to solve its existing problems. Finally, The feasibility and practicality of the method was verified by a developed intelligent power virtual drill platform based on JME (JMonkeyEngine). |
| Idioma: | Inglés |