Issue |
E3S Web Conf.
Volume 580, 2024
2024 2nd International Conference on Clean Energy and Low Carbon Technologies (CELCT 2024)
|
|
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Article Number | 02006 | |
Number of page(s) | 4 | |
Section | Low Carbon and Energy Saving Technologies and Environmental Sustainability | |
DOI | https://doi.org/10.1051/e3sconf/202458002006 | |
Published online | 23 October 2024 |
Sustainable Modelling of Industrial Wastewater Discharges with Big Data Technology
1 Shandong Experimental High School, Jinan 250001, Shandong, China
2 Shanxian No.1 High School of Shandong Province, Heze 274300, Shandong, China
3 Jinan Shanyuan Environmental Technology Co., LTD, Jinan 250000, Shandong, China
* Corresponding author: haiyuan1279@163.com
a minyuan1111@126.com
b 3340466733@qq.com
c haiyuan2697@163.com
In recent years, with the development of society, the concept of China’s smart city has been sustained development, and sewage treatment, as an important part of urban management, is also developing in the direction of intelligence. With the introduction of the concept of intelligent water, sewage treatment combined with big data, global cloud computing, Internet of Things, mobile Internet and other information technology in-depth use, sewage treatment intelligent control system came into being. The application of big data has made this problem alleviated to a certain extent. The big data referred to here refers to the screening, statistics, analysis, etc. of massive data based on cloud storage and cloud computing platforms, which ultimately results in a set of information with important value. This paper is based on big data technology for industrial wastewater in-depth research and analysis, and adhere to the new era of sustainable development model of industrial wastewater research, for the new integration of people in the field of new exploration and research.
© The Authors, published by EDP Sciences, 2024
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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