IoT-Based Monitoring the Level of Sustainable Production: A Case of Energy Consumption in Turning Process
Lecture Notes in Mechanical Engineering, ISSN: 2195-4364, Page: 213-222
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
Sustainable production can be treated as the activities within manufacturing for creating sustainable and economic value. Nowadays managers are looking for new solutions to reduce production costs by increasing energy efficiency. It is possible to improve energy efficiency by managing the machining process based on collected data using the Internet of Things (IoT). To better understand the energy consumption of the machine as Computer Numerical Control (CNC), this article provides research to monitor the energy consumption in real-time using IoT-based sensors on the example of the turning process. The research focuses on the total power consumption of a representative machine CNC within a defined production process. Next, the relationship between energy consumption within the analysed production process and the outdoor and indoor temperature of the production hall was analysed. The recommendations for production managers were defined as an IoT-based energy efficiency monitoring and management system.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85190697347&origin=inward; http://dx.doi.org/10.1007/978-3-031-56474-1_16; https://link.springer.com/10.1007/978-3-031-56474-1_16; https://dx.doi.org/10.1007/978-3-031-56474-1_16; https://link.springer.com/chapter/10.1007/978-3-031-56474-1_16
Springer Science and Business Media LLC
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