Research on the design and precise monitoring technology of intelligent early warning system for power tower settlement based on multi-dimensional information fusion technology

被引：0

作者：

Wang, Youqing ^{[1
]}

Gao, Xi ^{[2
]}

Du, Mingjing ^{[2
]}

Ma, Pengfei ^{[2
]}

Chen, Fei ^{[2
]}

机构：

[1] Zhangye Power Supply Company, State Grid Gansu Province Electric Power Company, Gansu, Zhangye

[2] Transmission and Transportation Inspection Center, Zhangye Power Supply Company, State Grid Gansu Province Electric Power Company, Gansu, Zhangye

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

关键词：

Isolated forest; Multidimensional information fusion; PDA algorithm improvement; Pole tower settlement warning; Wavelet transform;

D O I：

10.2478/amns-2024-3124

中图分类号：

学科分类号：

摘要：

Multi-dimensional information fusion technology helps to realize the synergy and complementarity between the information, which provides a guarantee for the settlement monitoring and early warning of electric power pole towers. The settlement monitoring algorithm for electric power pole towers is improved by this paper based on this technology and a settlement warning model is proposed. The traditional PDA algorithm can be enhanced by enhancing the pole tower image acquisition capacity with the wavelet transform algorithm and achieving the fusion and evaluation of multidimensional information through an isolated forest algorithm. The relationship functions of tilt angle, settlement wind speed size and other indicators are established, and the system of super-definite equations is used to solve the correlation coefficients, and the early warning system of pole tower settlement is constructed. The analysis results show that the monitoring results of the monitoring algorithm are fluctuating and stable; the absolute value of the error in the horizontal direction is not more than 9 mm, and the absolute value of the error in the vertical direction is not more than 14 mm. The predicted values of the maximum displacement and stress R2 are close to 1, and the MAPE is 0.436% and 1.123%, respectively. It indicates that the improved power pole tower settlement monitoring algorithm and early warning system in this paper have satisfactory performance. © 2024 Youqing Wang et al., published by Sciendo.

引用

共 25 条

[1]

Fu X., Li H.N., Uncertainty analysis of the strength capacity and failure path for a transmission tower under a wind load, Journal of Wind Engineering and Industrial Aerodynamics, 173, pp. 147-155, (2018)

[2]

Bennis M., Debbah M., Poor H.V., Ultrareliable and low-latency wireless communication: Tail, risk, and scale, Proceedings of the IEEE, 106, 10, pp. 1834-1853, (2018)

[3]

Tian L., Pan H., Ma R., Zhang L., Liu Z., Full-scale test and numerical failure analysis of a latticed steel tubular transmission tower, Engineering Structures, 208, (2020)

[4]

Shangguan X.C., Zhang C.K., He Y., Jiang L., Spencer J.W., Wu M., Robust load frequency control for power system considering transmission delay and sampling period, IEEE Transactions on Industrial Informatics, 17, 8, pp. 5292-5303, (2020)

[5]

Boretti A., Castelletto S., Al-Zubaidy S., Concentrating solar power tower technology: present status and outlook, Nonlinear Engineering, 8, 1, pp. 10-31, (2019)

[6]

Yang Y., Nishikawa T., Motter A.E., Small vulnerable sets determine large network cascades in power grids, Science, 358, 6365, (2017)

[7]

Sadowski A.J., Camara A., Malaga-Chuquitaype C., Dai K., Seismic analysis of a tall metal wind turbine support tower with realistic geometric imperfections, Earthquake Engineering & Structural Dynamics, 46, 2, pp. 201-219, (2017)

[8]

Omar A.M.S., Osman M.K., Ibrahim M.N., Hussain Z., Abidin A.F., Fault classification on transmission line using LSTM network, Indonesian Journal of Electrical Engineering and Computer Science, 20, 1, pp. 231-238, (2020)

[9]

Bhowmik C., Chakraborti P., Das S.S., Dynamic analysis of typical composite electric power transmission tower structure by ANSYS, International Journal of Computational Intelligence & IoT, 1, 1, (2018)

[10]

Sun J., Li M., Zhang Z., Xu T., He J., Wang H., Li G., Renewable energy transmission by HVDC across the continent: system challenges and opportunities, CSEE Journal of Power and Energy Systems, 3, 4, pp. 353-364, (2017)

← 1 2 3 →