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Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Research on Solidification Layer Detection in Coal Transportation Process Based on Improved YOLO v8 Algorithm

Version 1 : Received: 29 May 2024 / Approved: 30 May 2024 / Online: 30 May 2024 (08:16:51 CEST)

A peer-reviewed article of this Preprint also exists.

Xiang, B.; Zhou, R.; Huang, K.; Dou, L. Research on Solidification Layer Detection in Coal Transportation Process Based on Improved YOLOv8 Algorithm. Processes 2024, 12, 1211. Xiang, B.; Zhou, R.; Huang, K.; Dou, L. Research on Solidification Layer Detection in Coal Transportation Process Based on Improved YOLOv8 Algorithm. Processes 2024, 12, 1211.

Abstract

Railway transportation is one of the main modes of long-distance coal transportation, and it is inevitable to cause environmental pollution during the transportation process. In order to improve the environment along the railway and increase the utilization rate of coal resources, this paper proposes a detection algorithm for scattered coal solidification layer during transportation based on the YOLO v8 model, and designs an intelligent recognition model suitable for coal solidification layer detection devices by combining fluorescence detection methods. Through experimental analysis, the model meets the requirements of practical detection and plays a crucial role in environmental protection, with strong practical application value.

Keywords

railway transportation; Coal solidification layer; Image processing; fluorescence detection

Subject

Engineering, Energy and Fuel Technology

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