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  4. Vol 6, Issue 2, 2023

Construction Management Mode of Power Line Engineering in the Era of Big Data

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DOI: 10.23977/jeeem.2023.060207 | Downloads: 4 | Views: 347

Author(s)

Zheng Qin 1

Affiliation(s)

1 Shanghai Investigation, Design & Research Institute Co., Ltd, Shanghai 200335, China

Corresponding Author

Zheng Qin

ABSTRACT

With the arrival of the era of big data (BD for short), the construction management mode of power line engineering is undergoing significant changes. In the traditional mode, the construction of power lines often requires manual monitoring and management, which is inefficient and poses certain safety risks. In the era of BD, advanced technical means and data analysis methods can be applied to achieve automatic monitoring and management of power lines, thereby improving work efficiency and safety. This paper proposes a transmission line fault location algorithm based on BD technology. Through testing and experiments on the algorithm, the accuracy rates of traditional transmission line fault location algorithms for insulators, shock absorbers, and lightning arresters are 86.24%, 87.76%, and 87.17%, respectively. The accuracy rates of transmission line fault location algorithms based on BD technology for various power components are 93.71%, 95.22%, and 94.92%, respectively. This indicates that the fault location accuracy of the transmission line fault location algorithm is higher. The experimental results show that the application of BD technology in power line engineering construction management has achieved certain success. By collecting, storing, and analyzing massive amounts of power line data, it can provide more accurate and comprehensive data support for power enterprises, and help them better achieve the goals of power line engineering construction management.

KEYWORDS

Power Lines, Engineering Construction, Construction Management, Big Data

CITE THIS PAPER

Zheng Qin, Construction Management Mode of Power Line Engineering in the Era of Big Data. Journal of Electrotechnology, Electrical Engineering and Management (2023) Vol. 6: 46-54. DOI: http://dx.doi.org/10.23977/jeeem.2023.060207.

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