Research on Energy Efficiency Evaluation and Optimization of Intelligent Plant Equipment Based on Data-driven

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.