Applications of Artificial Intelligence for Smart Conveyor Belt Monitoring Systems: A Comprehensive Review

输送带 带式输送机 计算机科学 系统工程 工程类 机械工程
作者
Murtadha Shukur Mahmood,Israa R. Shareef
出处
期刊:Journal européen des systèmes automatisés [International Information and Engineering Technology Association]
卷期号:57 (4): 1195-1206 被引量:1
标识
DOI:10.18280/jesa.570426
摘要

This survey artісle provides an expose оf the relative literature with a specific focus in conveyor belt systems incorporation оf artificial intelligence (AI).This survey artісle describes the belt condition and its prognostics based on IoT, performance analysis, visualization, and force mailing.The review is based on over 79 articles of peer-reviewed journals published in the last five years of the study and focused on the enhancement of performance and safety of conveyor belt systems for manufacturing, mining, and logistics industries applying advanced AI techniques using DL models.The AI technologies to be investigated are majors of the ML algorithms to be used in the detection of faults and prediction of failures, CV systems to be used in real-time identification of defects on the assets and IoT systems to be used in the collection and processing of data.From the survey, it is seen that the integration of these set of possibilities of AI enhances the competency in the areas of accurate fault detection; superior control and computer based intelligent operation of the material handling than the aspect of monitoring the fan conveyor.Innovation involves some concepts that include the following; belt tear prediction models using neural networks with more than 95 percent certainty for the real time prediction of belt tears, computer vision, for the real time identification of surface issues, IoT that can reduce the system's unplanned time by at least 30 percent.It also describes the current state of affairs when it comes to data quality problem, explanation of the algorithms used and the procedure of scaling up the already existing systems.Last but not least, it offers key and precise recommendations for the further research on the multiple levels of intelligence in AI systems as well as the Edge AI intelligent decisions, the Reinforcement Learning intelligent control, and AI with other emerging technologies; Digital Twin.Finally, it might be mentioned that, concerning the survey made, it is possible to state how the conveyer belt system may be altered with the competent usage of the AI in various fields for making performance, reliability, as well as security improvements.

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