Optimize electric automation control using artificial intelligence (AI)

SAMI, FARAH

doi:10.1016/j.ijleo.2022.170085

Cited by 12 publications

(5 citation statements)

References 21 publications

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“…The feeding of tobacco storage cabinet is composed of tobacco distribution conveyor belt, tobacco paving conveyor belt, cabinet body, reversing proximity switch, laser rangefinder, etc. as shown in Figure 1 (Farah, 2022;Qiuqiong, 2022;Run et al, 2022). During the process of materials entering the storage cabinet, the materials are evenly spread into the cabinet through the equipment such as the belt entering the cabinet, the tobacco distribution conveyor belt, the tobacco auxiliary material belt, etc.…”

Section: Existing Problemsmentioning

confidence: 96%

Optimization Design of Automatic Reversing Control Method for Auxiliary Materials of Tobacco Storage Cabinet Equipment

Kocheril,

Han,

Liu

et al. 2023

Smart Manufacturing and Material Processing (SMMP)

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In order to solve the problems that the paving car and the paving belt do not automatically reverse and the distribution car does not move when the tobacco leaf storage cabinet is fed, the storage cabinet feeding system is optimized and improved. firstly, the hardware of the storage tank feeding system is improved, the detection switch of deceleration bit and limit bit is added in the hardware, the speed reduction and limit detection switch are added in the hardware to adjust the speed and limit position of the paving car; Secondly, the program control of the storage cabinet feeding system is improved. Combined with the improved hardware detection switch, the feeding pre-self-inspection mode, time control mode and production control logic are optimized and designed. The feeding processes of tobacco leaf storage cabinet and tobacco cut storage cabinet in Shijiazhuang Cigarette Factory were tested, the results show that in the improved storage cabinet feeding system, the feeding failure rate is reduced by 83.7% because the proximity switch is not triggered, the number of times of the feeder car rushing out is reduced by 84.6% because the proximity switch is not triggered, and the storage cabinet is damaged for 0 times because the feeder car rushing out of the proximity switch. The technology can effectively solve the problems of paving car and the paving belt reversing and distribution car inching, reduce the failure of storage cabinet feeding system, and effectively improve production efficiency.

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Section: Existing Problemsmentioning

confidence: 96%

Optimization Design of Automatic Reversing Control Method for Auxiliary Materials of Tobacco Storage Cabinet Equipment

Kocheril,

Han,

Liu

et al. 2023

Smart Manufacturing and Material Processing (SMMP)

View full text Add to dashboard Cite

show abstract

“…AI, with its ability to mimic human intelligence and efficiently and accurately perform complex tasks, is increasingly being applied in various industries, with the potential to completely change several aspects of engineering management [9]. With techniques such as machine learning, natural language processing, and computer vision, AI can potentially automate the planning and scheduling processes, optimize resource allocation, and even identify and manage project risks more effectively than traditional methods [10].…”

Section: Related Workmentioning

confidence: 99%

Unveiling the Future of Engineering Management: The Role of Artificial Intelligence and Big Data

Cui,

Xu,

Sun

2024

Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development,

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This paper explores the transformative role of Artificial Intelligence (AI) and Big Data in the field of Engineering Management. With the rising complexity of projects, traditional management methodologies are increasingly challenged to keep up. However, recent technological advancements in AI and Big Data offer promising solutions to these challenges. This study examines how AI and Big Data can be effectively integrated into engineering management, specifically focusing on project planning, progress tracking, risk identification and management, as well as resource optimization and scheduling. Through a comprehensive review of existing literature and detailed case studies, we highlight how these technologies can enhance decision-making processes; improve prediction accuracy, and ultimately lead to more efficient and successful project outcomes. In particular, AI's potential to automate and optimize project planning and risk management is assessed, along with Big Data's ability to enhance resource allocation and progress control through advanced predictive analytics. The findings of this research underline the significant potential of AI and Big Data to revolutionize the field of engineering management, providing practical insights for both practitioners and academics alike.

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“…AI uses various algorithms for machine learning and deep learning, including support vector machine (SVM), Bayesian network, artificial neural networks (ANNs), random forest (RF), convolutional neural networks (CNNs) and more (Santos et al, 2021;Yang et al, 2022). Over recent decades, AI has made significant breakthroughs in various fields, such as finance (Ahmed et al, 2022), traffic (Shaygan et al, 2022), electrical automation (Sami, 2022), medical care (Yahyaoui et al, 2023), biomedical research and others (Diakiw et al, 2022). Notably, the application of AI in TCM industry has become increasingly prevalent in recent years.…”

Section: Introductionmentioning

confidence: 99%

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

Zhou,

Shen,

Hou

2024

Front. Pharmacol.

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Traditional Chinese medicine (TCM) is the practical experience and summary of the Chinese nation for thousands of years. It shows great potential in treating various chronic diseases, complex diseases and major infectious diseases, and has gradually attracted the attention of people all over the world. However, due to the complexity of prescription and action mechanism of TCM, the development of TCM industry is still in a relatively conservative stage. With the rise of artificial intelligence technology in various fields, many scholars began to apply artificial intelligence technology to traditional Chinese medicine industry and made remarkable progress. This paper comprehensively summarizes the important role of artificial intelligence in the development of traditional Chinese medicine industry from various aspects, including new drug discovery, data mining, quality standardization and industry technology of traditional Chinese medicine. The limitations of artificial intelligence in these applications are also emphasized, including the lack of pharmacological research, database quality problems and the challenges brought by human-computer interaction. Nevertheless, the development of artificial intelligence has brought new opportunities and innovations to the modernization of traditional Chinese medicine. Integrating artificial intelligence technology into the comprehensive application of Chinese medicine industry is expected to overcome the major problems faced by traditional Chinese medicine industry and further promote the modernization of the whole traditional Chinese medicine industry.

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Optimize electric automation control using artificial intelligence (AI)

Cited by 12 publications

References 21 publications

Optimization Design of Automatic Reversing Control Method for Auxiliary Materials of Tobacco Storage Cabinet Equipment

Optimization Design of Automatic Reversing Control Method for Auxiliary Materials of Tobacco Storage Cabinet Equipment

Unveiling the Future of Engineering Management: The Role of Artificial Intelligence and Big Data

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

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