基于机器学习的智能冶炼与清洁生产
Intelligent Smelting and Clean Production based on Machine Learning
随着工业化进程的加速，工业生产所产生的环境问题也越来越严重。智能冶炼和清洁生产技术的研究应运而生。机器学习作为一种强大的技术工具，在智能冶炼和清洁生产方面发挥了重要作用。本文探讨了机器学习在智能冶炼和清洁生产中的应用，包括机器学习在冶炼过程中的控制和优化、智能传感器的应用、机器学习在工厂排放监测和控制方面的应用等。通过机器学习技术的应用，冶炼过程中的能源和资源利用率得到了提高，同时也有效地减少了环境污染的程度，促进了工业的可持续发展。
With the acceleration of industrialization, the environmental problems caused by industrial production are becoming increasingly serious. The research of intelligent smelting and clean production technology has emerged accordingly. Machine learning, as a powerful technical tool, has played an important role in intelligent smelting and clean production. This paper discusses the application of machine learning in intelligent smelting and clean production, including the control and optimization of smelting processes, the application of intelligent sensors, and the application of machine learning in factory emission monitoring and control. Through the application of machine learning technology, the energy and resource utilization efficiency in the smelting process has been improved, and the degree of environmental pollution has been effectively reduced, promoting sustainable development of the industry.
刘姗姗;黄勇;刘洋;
长沙矿冶研究院有限责任公司湖南 长沙 410000;长沙矿冶研究院有限责任公司湖南 长沙 410000;长沙矿冶研究院有限责任公司湖南 长沙 410000;
Intelligent smelting clean production machine learning smelting process optimization
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