- 期刊
Path Planning of Intelligent Inspection Robot for Power Plant Based on Hybrid Particle Swarm Optimization
摘要
This paper briefly introduces the transformation direction of power plants and the development trend of introducing intelligent inspection robots. Considering that the hybrid particle swarm optimization algorithm has strong global search capability and the premature phenomenon is not serious, the algorithm is used to solve the path planning problem of mobile robots. The simulation results obtained from the coordinates of the power plant equipment to be inspected in the abstract model are compared with the results of other algorithms to verify the advantages of the hybrid particle swarm algorithm. Provide a reference for the actual use of intelligent inspection robots in power plants.
參考文獻
P. Robison, M. Sengupta and D. Rauch, "Intelligent Energy Industrial Systems 4.0," in IT Professional, vol. 17, no. 3, pp. 17-24, May-June 2015, doi: 10.1109/MITP.2015.48.
L. Fucai, C. Tao, G. Qiuting, Q. Yuchen and H. Wei, "Design and Implementation of Intelligent Dispatching Operation Strategy Platform for Power Grid with UHV," 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Chengdu, China, 2019, pp. 3788-3792, doi: 10.1109/ISGT-Asia.2019.8881236.
Y. Wei and D. Xue, "The Research of Equipment Maintenance Management in Power Plant Based on Data Mining," 2015 IEEE International Conference on Computational Intelligence & Communication Technology, Ghaziabad, 2015, pp. 543-547, doi: 10.1109/CICT.2015.98.
X. Liang, Q. Yingjun and L. Jiaojiao, "Study on Rapid Ultrasonic Guided Wave Inspection Technology for Defects and Damages on Boiler Tubes in Complex Operation Environment," 2018 11th International Conference on Intelligent Computation Technology and Automation (ICICTA), Changsha, 2018, pp. 408-411, doi: 10.1109/ICICTA.2018.00098.
Z. Jijie, C. Yanbo and Z. Lihua, "Power plant coal conveyer coal link PLC control system," 2011 4th International Conference on Power Electronics Systems and Applications, Hong Kong, 2011, pp. 1-5, doi: 10.1109/PESA.2011.5982927.