| Issue |
E3S Web Conf.
Volume 358, 2022
5th International Conference on Green Energy and Sustainable Development (GESD 2022)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 5 | |
| Section | Invited Contributions | |
| DOI | https://doi.org/10.1051/e3sconf/202235801014 | |
| Published online | 27 October 2022 | |
Design scheme of metal wastewater purification device in industrial park
1 School of Software Engineering, Chongqing University of Posts and Telecommunications 400065, China
2 School of Media Arts, Chongqing University of Posts and Telecommunications
3 School of Economics and Management, Chongqing University of Posts and Telecommunications 400065, China
4 School of Modern Post Institute, Chongqing University of Posts and Telecommunications 400065, China
Due to the limitation of chemical process technology and management system, the traditional treatment mode of heavy metal waste liquid pollution has many problems, such as high power consumption in the process, high wear of consuming steel, high management cost, and secondary pollution caused by complex solid waste residue in data detection. Team based on the front end of deep learning module and backend soft measurement model of collaborative structures, design and improvement of the learning algorithm combined with nested integration depth control series new front end treatment module, the successful implementation of heavy metal ions in industrial wastewater concentration of accurate prediction, and according to the predicted results and the analysis of liquid ingredients, targeted treatment after intelligent classification.
Key words: Deep learning / Heavy metal concentration measurement / Ion exchange technology / Intelligent water
© The Authors, published by EDP Sciences, 2022
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