Design and Development of a Smart Conveyor System for Predictive Moisture Control in Coal Handling
- DOI
- 10.2991/978-94-6463-754-0_27How to use a DOI?
- Keywords
- Environmental Monitoring; Conveyor Belt Optimization; Machine Learning (ML); Industrial Coal Handling Systems; Operational Efficiency; Real-time Data Processing
- Abstract
This study explores the use of Machine Learning (ML) to enable real-time monitoring and operational improvements in coal handling conveyor belt systems. Efficient coal management is essential for minimizing environmental impact and ensuring operational continuity. By utilizing IoT sensors and ML models, the system continuously tracks environmental conditions, identifies potential equipment issues, and optimizes conveyor belt operations. Predictive maintenance and real-time analysis aim to reduce downtime, prolong equipment lifespan, and enhance productivity. The paper highlights the system architecture, methodologies, and advantages of adopting ML for coal handling to promote operational efficiency and environmental responsibility.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - J. Karthika AU - K. M. Sheik Hameed AU - S. Sukitha AU - P. Venkataprasanth PY - 2025 DA - 2025/06/30 TI - Design and Development of a Smart Conveyor System for Predictive Moisture Control in Coal Handling BT - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025) PB - Atlantis Press SP - 298 EP - 309 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-754-0_27 DO - 10.2991/978-94-6463-754-0_27 ID - Karthika2025 ER -