An Intelligent Inspection and Scheduling Algorithm for Integrated Pipe Gallery Based on Cloud Robot
With the cooperation of advanced sensing technology, cloud robot technology for dynamically offloading complex data tasks to cloud processing can improve information transfer efficiency and enhance intelligence level of inspection robot system. For the instantaneous and delayed flood disasters of co...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2020-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.03.004 |
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| Summary: | With the cooperation of advanced sensing technology, cloud robot technology for dynamically offloading complex data tasks to cloud processing can improve information transfer efficiency and enhance intelligence level of inspection robot system. For the instantaneous and delayed flood disasters of corridor management, a mathematical model of cloud robot inspection area dispatching was established and solved by particle swarm optimization and adaptive weight particle swarm optimization. In order to solve the problem of multiple iterations and poor real-time performance, it proposed an improved adaptive weight particle swarm optimization-genetic hybrid optimization algorithm combined with particle swarm optimization and genetic algorithm. The algorithm has very strong exploring precision and variable function, which makes this algorithm of fewer iterations, and can effectively improve the real-time detection of pipeline leakage source in pipeline corridor. Finally,the algorithm is verified by simulation,which provides a feasible strategy for the integrated inspection of the intelligent corridor. |
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| ISSN: | 2096-5427 |