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18 November 2024 Design of intelligent slag removal system in power plant based on image recognition
Changliang Fu, Yongbin Zhang, Xiaodong Xie, Zhiqiang Zong, Xiao Wei, Xinyue Wang
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Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 1340335 (2024) https://doi.org/10.1117/12.3051652
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China
Abstract
The accurate identification of large and medium slag in power plant slag transport system has an important impact on the safety, efficiency, environmental protection and economic benefits of power plant. The timely processing of large slag can effectively improve the operation efficiency and maintenance cost of power plant, and with the rapid development of image recognition technology, the recognition of large slag in power plant slag transport system is gradually intelligent. In this paper, based on CenterNet image recognition algorithm, through the adaptive spatial feature fusion module is added in the backbone network, and combined with the feature of the pyramid networks structure. The low-level feature information is fused with the high-level feature information. The loss function is replaced by the distributed focus loss, and the effectiveness of the system is verified by experiments. The results show that the system has good convergence, can accurately identify the size and position of large slag block, can respond to the slag removal command quickly, improve the operation efficiency of the power plant slag delivery system, reduce the manual maintenance cost, and improve the operation safety of the power plant.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Changliang Fu, Yongbin Zhang, Xiaodong Xie, Zhiqiang Zong, Xiao Wei, and Xinyue Wang "Design of intelligent slag removal system in power plant based on image recognition", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 1340335 (18 November 2024); https://doi.org/10.1117/12.3051652
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KEYWORDS
Detection and tracking algorithms
Intelligence systems
Target recognition
Convolution
Image processing
Feature fusion
Safety
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