Literature DB >> 35700763

Innovation designs of industry 4.0 based solid waste management: Machinery and digital circular economy.

Chor Gene Cheah1, Wen Yi Chia2, Shuet Fen Lai3, Kit Wayne Chew4, Shir Reen Chia5, Pau Loke Show2.   

Abstract

The Industrial Revolution 4.0 (IR 4.0) holds the opportunity to improve the efficiency of managing solid waste through digital and machinery applications, effectively eliminating, recovering, and repurposing waste. This research aims to discover and review the potential of current technologies encompassing innovative Industry 4.0 designs for solid waste management. Machinery and processes emphasizing on circular economy were summarized and evaluated. The application of IR 4.0 technologies shows promising opportunities in improving the management and efficiency in view of solid waste. Machine learning (ML), artificial intelligence (AI), and image recognition can be used to automate the segregation of waste, reducing the risk of exposing labour workers to harmful waste. Radio Frequency Identification (RFID) and wireless communications enable the traceability in materials to better understand the opportunities in circular economy. Additionally, the interconnectivity of systems and automatic transfer of data enable the creation of more complex system that houses a larger solution space that was previously not possible such as centralised cloud computing to reduce the cost by eliminating the need for individual computing systems. Through this comprehensive review-based work, innovative Industry 4.0 components of machinery and processes involving waste management which focuses on circular economy are identified with the critical ones evaluated briefly. It was found that the current research and work done is based on applying Industry 4.0 technologies on individual waste management systems, which lacks the coherency needed to capitalise on technologies such as cloud computing, interconnectivity, big data, etc on a larger scale. Therefore, a real world comprehensive end-to-end integration aimed to optimize every process within the solid waste management chain should be explored.
Copyright © 2022 Elsevier Inc. All rights reserved.

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Keywords:  Artificial intelligence (AI); Industrial revolution 4.0; Internet of things (IoT); Machine learning (ML); Solid waste management

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Year:  2022        PMID: 35700763     DOI: 10.1016/j.envres.2022.113619

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   8.431


  1 in total

1.  Towards Sustainable Development: How Digitalization, Technological Innovation, and Green Economic Development Interact with Each Other.

Authors:  Wei Yang; Qiuxia Chen; Qiuqi Guo; Xiaoting Huang
Journal:  Int J Environ Res Public Health       Date:  2022-09-27       Impact factor: 4.614

  1 in total

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