Application and Optimization of Automation Technology in Typical Process Flows
DOI:
https://doi.org/10.54691/33gs6z87Keywords:
Automation technology; Typical process flows; Process optimization; Intelligent control; Industrial digitalization.Abstract
Automated control technology can effectively address the problems of inefficient operation and extensive control of traditional production processes, and is an important support for industrial upgrading. This article selects three mainstream production processes: food processing, metallurgy, and water treatment, analyzes the application effect of automation technology in core production processes, and summarizes cross-industry optimization strategies. Practical data shows that automation transformation can achieve precise control and coordinated operation of the entire production process: the efficiency of intelligent sorting in food processing is 3–5 times higher than that of manual labor, and the efficiency of packaging is increased by 25–30%; The numerical control (NC) rate of key processes in the metallurgical industry has exceeded 75%, and intelligent control of blast furnaces can reduce the coke ratio by about 3%; The online monitoring efficiency of water treatment has been improved by more than 4 times compared to manual methods, and intelligent dosing can increase the utilization rate of chemicals by 20%. The measures proposed in this article, such as process standardization and precise energy consumption control, can provide reference for the automation transformation of the industry and promote the development of production towards high efficiency, low carbon, and stability.
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[1] Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent manufacturing in the context of industry 4.0: a review. Engineering, 3(5), 616-630.
[2] Hassoun, A., Aït-Kaddour, A., Abu-Mahfouz, A. M., Rathod, N. B., Bader, F., Barba, F. J., ... & Regenstein, J. (2023). The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies. Critical reviews in food science and nutrition, 63(23), 6547-6563.
[3] Branca, T. A., Fornai, B., Colla, V., Murri, M. M., Streppa, E., & Schröder, A. J. (2020). The challenge of digitalization in the steel sector. Metals, 10(2), 288.
[4] Ji, W., & Wang, L. (2019). Industrial robotic machining: a review. The International Journal of Advanced Manufacturing Technology, 103(1), 1239-1255.
[5] Marczewska, M. (2024). Digital transformation: a challenging opportunity for the food industry companies. British Food Journal, 126(5), 2027-2040.
[6] Wu, S. (2015). Multivariable PID control using improved state space model predictive control optimization. Industrial & Engineering Chemistry Research, 54(20), 5505-5513.
[7] Mourtzis, D., Angelopoulos, J., & Panopoulos, N. (2021). Smart manufacturing and tactile internet based on 5G in industry 4.0: Challenges, applications and new trends. Electronics, 10(24), 3175.
[8] Alshami, A., Ali, E., Elsayed, M., Eltoukhy, A. E., & Zayed, T. (2024). IoT innovations in sustainable water and wastewater management and water quality monitoring: a comprehensive review of advancements, implications, and future directions. Ieee Access, 12, 58427-58453.
[9] Alprol, A. E., Mansour, A. T., Ibrahim, M. E. E. D., & Ashour, M. (2024). Artificial intelligence technologies revolutionizing wastewater treatment: current trends and future prospective. Water, 16(2), 314.
[10] Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., ... & Ueda, K. (2016). Cyber-physical systems in manufacturing. Cirp Annals, 65(2), 621-641.
[11] Chandra Shekhar Rao, V., Kumarswamy, P., Phridviraj, M. S. B., Venkatramulu, S., & Subba Rao, V. (2021). 5G enabled industrial internet of things (IIoT) architecture for smart manufacturing. In Data Engineering and Communication Technology: Proceedings of ICDECT 2020 (pp. 193-201). Singapore: Springer Singapore.
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