| Issue |
E3S Web Conf.
Volume 276, 2021
2021 5th International Conference on Water Conservancy, Hydropower and Building Engineering (WCHBE 2021)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 5 | |
| Section | Water Conservancy and Hydropower and Natural Geological Exploration | |
| DOI | https://doi.org/10.1051/e3sconf/202127601005 | |
| Published online | 23 June 2021 | |
Research on intelligent construction of Hydropower Enterprises
1 China Datang Corporation Science and Technology Research Institute, Beijing 100043, China
2 Hydropower Research Institute of China Datang Group Science and Technology Research Institute Co., Ltd, Chengdu 610031, China
* Corresponding author: 413328265@qq.com
Hydropower is the largest clean and low-carbon renewable energy, which can generate electricity with comprehensive utilization functions such as flood control, water supply, shipping and irrigation, and has significant social, ecological and economic benefits. However, at present, the progress of intelligent construction of hydropower enterprises is relatively slow, and the theoretical and strategic research is still relatively weak, resulting in low management efficiency and low degree of production visualization. How to carry out intelligent enterprise construction for traditional hydropower enterprises, improve the management level of enterprises and better adapt to the competitive environment of power market is a major research topic for hydropower managers. This paper mainly expounds the necessity, strategic framework and overall construction scheme of intelligent construction of hydropower enterprises. Through the application of new technologies such as cloud computing, big data and Internet of things, an efficient and scalable unified data management and analysis platform is established to provide guarantee for safe, economic, efficient and intelligent operation of hydropower enterprises and provide basis for command and decision-making.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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