Research on energy efficiency evaluation and optimization of intelligent plant equipment based on data-driven
基于数据驱动的智能工厂设备能效评估与优化研究

摘要

随着新经济环境的到来，政府积极推动现代经济的发展。各行各业都在顺应这一趋势，努力提升技术水平，实施科学管理。此外，人们对智能生活的需求也日益增长。随着煤炭、石油等传统能源的枯竭，损耗和消耗日益增加，导致能源价格上涨，影响生产成本控制。在数据驱动的时代背景下，传统制造业正在经历巨大的变革和创新，智能工厂应运而生，基于数据驱动的能效管理成为节约成本、降低能耗的关键。智能工厂将先进的数字技术应用于生产过程，能够有效提高生产效率，并通过各种软件对整个生产过程进行精细化的监控和控制，使工厂达到最佳的生产效果。

Abstract

With the arrival of the new economic environment, the government is actively promoting the development of the modern economy. All industries are following this trend and striving to enhance their technical level and implement scientific management. Additionally, the demand for intelligent life is also increasing. With the depletion of coal, oil, and other traditional energy sources, the loss and consumption are increasing, which leads to the rising price of energy and affects the cost control of production. In the context of the data-driven era, the traditional manufacturing industry is undergoing tremendous changes and innovation. Smart factories have emerged as a result, and energy efficiency management based on data-driven approaches has become the key to saving costs and reducing energy consumption. By applying advanced digital technology to the production process, the intelligent factory can effectively improve production efficiency and achieve fine monitoring and control of the entire production process using various software. This enables the factory to achieve optimal production results.