Study on Investment Impact Factors of Overhead Line Engineering Based on Big Data Statistics

DOI

10.2991/978-94-6463-102-9_53How to use a DOI?

Keywords

Overhead line engineering; Cost big data; Influencing factors; Statistical analysis

Abstract

Overhead line project is one of the key points of the investment and construction of power grid enterprises. Therefore, how to effectively carry out the statistical analysis of the big data of the project cost, and further improve the scientific nature and the accuracy of the project investment estimation, has become one of the key points and difficulties in the operation and development of power grid enterprises. This paper analyzes the statistical analysis of big data, from the perspective of the overall investment level, the investment structure composition, the investment difference of feasibility study, excavates the main factors affecting the engineering cost, and provides the reference for the investment calculation and investment estimation.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ming Fang
AU  - Changming Mo
AU  - Qiuyun Lu
AU  - Juntao Wei
AU  - Murong Jin
PY  - 2022
DA  - 2022/12/29
TI  - Study on Investment Impact Factors of Overhead Line Engineering Based on Big Data Statistics
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 502
EP  - 510
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_53
DO  - 10.2991/978-94-6463-102-9_53
ID  - Fang2022
ER  -