Research on Industrial Waste Recovery Network Optimization: Opportunities Brought by Artificial Intelligence

Joint Authors

Liao, Bin
Wang, Ting

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-04-25

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Civil Engineering

Abstract EN

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.

American Psychological Association (APA)

Liao, Bin& Wang, Ting. 2020. Research on Industrial Waste Recovery Network Optimization: Opportunities Brought by Artificial Intelligence. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1194539

Modern Language Association (MLA)

Liao, Bin& Wang, Ting. Research on Industrial Waste Recovery Network Optimization: Opportunities Brought by Artificial Intelligence. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1194539

American Medical Association (AMA)

Liao, Bin& Wang, Ting. Research on Industrial Waste Recovery Network Optimization: Opportunities Brought by Artificial Intelligence. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1194539

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1194539