Smart textile waste collection system – Dynamic route optimization with IoT

Antti Martikkala, Bening Mayanti, Petri Helo, Andrei Lobov, Iñigo Flores Ituarte

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Increasing textile production is associated with an environmental burden which can be decreased with an improved recycling system by digitalization. The collection of textiles is done with so-called curbside bins. Sensor technologies support dynamic-informed decisions during route planning, helping predict waste accumulation in bins, which is often irregular and difficult to predict. Therefore, dynamic route-optimization decreases the costs of textile collection and its environmental load. The existing research on the optimization of waste collection is not based on real-world data and is not carried out in the context of textile waste. The lack of real-world data can be attributed to the limited availability of tools for long-term data collection. Consequently, a system for data collection with flexible, low-cost, and open-source tools is developed. The viability and reliability of such tools are tested in practice to collect real-world data. This research demonstrates how smart bins solution for textile waste collection can be linked to a dynamic route-optimization system to improve overall system performance. The developed Arduino-based low-cost sensors collected actual data in Finnish outdoor conditions for over twelve months. The viability of the smart waste collection system was complemented with a case study evaluating the collection cost of the conventional and dynamic scheme of discarded textiles. The results of this study show how a sensor-enhanced dynamic collection system reduced the cost 7.4% compared with the conventional one. We demonstrate a time efficiency of −7.3% and that a reduction of 10.2% in CO2 emissions is achievable only considering the presented case study.

Original languageEnglish
Article number117548
JournalJournal of Environmental Management
Volume335
DOIs
Publication statusPublished - 1 Jun 2023
Publication typeA1 Journal article-refereed

Keywords

  • Arduino
  • Circular economy
  • Internet of things
  • Route optimization
  • Smart bin
  • Textile waste collection

Publication forum classification

  • Publication forum level 2

ASJC Scopus subject areas

  • Environmental Engineering
  • Waste Management and Disposal
  • Management, Monitoring, Policy and Law

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