TY - GEN
T1 - Design of Offline Verification System for Safety Valves of Special Equipment Based on Improved KDE Algorithm
AU - Zhong, Junping
AU - Zhang, Zijian
AU - Lv, Zhongjie
AU - Yuan, Shijie
AU - Bao, Yuting
AU - Xu, Wubo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The offline calibration system for equipment safety valves has become a hot topic in the past few years. The importance attached to equipment safety has become an important issue in contemporary times. The latest progress and existing problems in the research of soil quality evaluation index systems and evaluation methods at home and abroad were summarized and analyzed, and some suggestions were put forward for future algorithm research activities. This article first provides a specific explanation and definition of the concept of improved KDE algorithm, and then demonstrates the viewpoint by constructing a data model. Finally, by analyzing and evaluating existing offline verification systems, it is demonstrated that there are certain problems with the current verification system. To address the issues of inconvenient management, low work efficiency, inaccurate data, and inconvenient transportation of safety valves for offline calibration of special equipment safety valves, the safety valve calibration system is networked, informationized, with high accuracy of calibration results, high calibration efficiency, and cost reduction. An improved algorithm has been proposed to provide reliable data support for the calibration of special pressure equipment and provide new references for the offline calibration operation specifications of safety valves. Therefore, how to design and apply an offline calibration system for safety valves of special equipment is a highly worthy research topic. In the experimental analysis, the performance of the improved KDE algorithm was tested. The offline calibration system of the equipment safety valve based on the improved KDE algorithm has a monitoring accuracy rate of more than 90%, which can provide a safer guarantee.
AB - The offline calibration system for equipment safety valves has become a hot topic in the past few years. The importance attached to equipment safety has become an important issue in contemporary times. The latest progress and existing problems in the research of soil quality evaluation index systems and evaluation methods at home and abroad were summarized and analyzed, and some suggestions were put forward for future algorithm research activities. This article first provides a specific explanation and definition of the concept of improved KDE algorithm, and then demonstrates the viewpoint by constructing a data model. Finally, by analyzing and evaluating existing offline verification systems, it is demonstrated that there are certain problems with the current verification system. To address the issues of inconvenient management, low work efficiency, inaccurate data, and inconvenient transportation of safety valves for offline calibration of special equipment safety valves, the safety valve calibration system is networked, informationized, with high accuracy of calibration results, high calibration efficiency, and cost reduction. An improved algorithm has been proposed to provide reliable data support for the calibration of special pressure equipment and provide new references for the offline calibration operation specifications of safety valves. Therefore, how to design and apply an offline calibration system for safety valves of special equipment is a highly worthy research topic. In the experimental analysis, the performance of the improved KDE algorithm was tested. The offline calibration system of the equipment safety valve based on the improved KDE algorithm has a monitoring accuracy rate of more than 90%, which can provide a safer guarantee.
KW - automatic control
KW - high efficiency
KW - offline verification of safety valves
KW - standardized operation
UR - http://www.scopus.com/inward/record.url?scp=85168763231&partnerID=8YFLogxK
U2 - 10.1109/ICAISC58445.2023.10199396
DO - 10.1109/ICAISC58445.2023.10199396
M3 - Conference contribution
AN - SCOPUS:85168763231
T3 - International Conference on Applied Intelligence and Sustainable Computing, ICAISC 2023
BT - International Conference on Applied Intelligence and Sustainable Computing, ICAISC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE International Conference on Applied Intelligence and Sustainable Computing, ICAISC 2023
Y2 - 16 June 2023 through 17 June 2023
ER -