Automated Multi-sensory Data Collection System for Continuous Monitoring of Refrigerating Appliances Recycling Plants
- Publisher:
- Institute of Electrical and Electronics Engineers (IEEE)
- Publication Type:
- Conference Proceeding
- Citation:
- IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, 2022, 2022-September, pp. 1-4
- Issue Date:
- 2022-01-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| Automated Multi-sensory Data Collection System for Continuous Monitoring of Refrigerating Appliances Recycling Plants.pdf | 2.85 MB |
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Recycling of refrigerating appliances plays a major role in protecting the Earth's atmosphere from ozone depletion and emissions of greenhouse gases. The performance of refrigerator recycling plants in terms of material retention is the subject of strict environmental certifications, and is reviewed periodically through specialized audits. The continuous collection of refrigerator data required for the input-output analysis is still mostly manual, error-prone and not digitized. In this paper, we propose an automated data collection system for recycling plants in order to deduce expected material contents in individual end-of-life refrigerating appliances. The system utilizes laser-scanner measurements and optical data to extract attributes of individual refrigerators by applying transfer learning with pre-trained vision models. Based on recognized features, the system collects data required for the estimation of target values of contained material masses, especially foaming and cooling agents. The presented data collection system paves the way for continuous performance monitoring and efficient control of refrigerator recycling plants.
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