Research on Industrial Waste Recovery Network Optimization: Opportunities Brought by Artificial Intelligence
| Autor: | Ting Wang, Bin Liao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Article Subject
Computer science business.industry 020209 energy General Mathematics General Engineering Environmental pollution 02 engineering and technology 010501 environmental sciences Engineering (General). Civil engineering (General) 01 natural sciences Industrial waste Industrialisation Order (exchange) Urbanization Management system 0202 electrical engineering electronic engineering information engineering Key (cryptography) QA1-939 Artificial intelligence TA1-2040 business Mathematics 0105 earth and related environmental sciences |
| Zdroj: | Mathematical Problems in Engineering, Vol 2020 (2020) |
| ISSN: | 1024-123X |
| DOI: | 10.1155/2020/3618424 |
| Popis: | With the acceleration of industrialization and urbanization in China, a large amount of waste in industrial parks has become the main cause of regional environmental pollution. In order to solve this problem, this paper relied on artificial intelligence’s prediction technology and image recognition technology to intelligently upgrade the traditional industrial waste planning management system and designed a waste intelligent classification center with intelligent prediction and intelligent classification capabilities. So, as to realize this new intelligent classification center and explain its value, this paper explains the key implementation technology of this intelligent classification center and validates it by constructing a multitarget location model that considers both economic and environmental benefits. |
| Databáze: | OpenAIRE |
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