I. Project Introduction Based on the production process characteristics and energy consumption structure of enterprises, a comprehensive energy efficiency evaluation index system is established from four aspects: economic, management, technical, and environmental. A quantitative model is introduced to quantitatively handle energy consumption and emission indicators at different levels from individual equipment, unit processes to the production system. This helps enterprises obtain multiple indicators for evaluating the comprehensive utilization efficiency of energy, establishing an assessment basis for energy efficiency level that includes important indicators such as energy consumption per unit product and energy consumption per unit output value. Data mining is conducted based on the evaluation results to analyze the internal causes of low comprehensive energy efficiency levels, identify production equipment or processes with further improvement potential in energy utilization rates, and assist enterprises in adjusting production plans or changing production parameter configurations. Technical Features: (1) 'Dynamic Assessment' + 'Static Assessment' Dual-Driven Dynamic Assessment: Obtain production performance simulation data through production process simulation. Based on this, an assessment is carried out. Its advantage is that it can dynamically change the production structure and parameters, reflecting its impact on the comprehensive energy efficiency of production. Static Assessment: Evaluated using real-time production data, it can truly reflect the enterprise's energy efficiency level. (2) Adopt a multi-dimensional evaluation index system based on product manufacturing dimensions, establishing comprehensive energy efficiency evaluation indicators at three levels: equipment, workshop, and enterprise; according to the industry dimension, analyze the energy consumption characteristics of steel, non-ferrous metals, and chemical industries, establishing comprehensive energy efficiency evaluation indicators based on industry characteristics; based on the angle dimension, establish comprehensive energy efficiency evaluation indicators from four perspectives: economic, environmental, management, and technology. (3) Data drilling for energy saving potential exploration starts from the comprehensive energy efficiency level ranking, searching for the basic data that causes low comprehensive energy efficiency from top to bottom. In analysis, it is possible to use comparative display or planned indicator value display functions. Helps enterprises better discover energy efficiency trends and potential for energy saving. Second, project industrialization prospects and application fields help enterprises build an energy efficiency evaluation system, provide methods for evaluating energy efficiency indicators, and through the application of functions such as indicator calculation, comprehensive analysis of indicators, and indicator management, truly reflect the energy consumption situation of enterprises during various statistical periods. At the same time, through data drilling functions, weak links in enterprise energy saving are identified. Through systematic application, enterprises can comprehensively grasp the level of energy utilization and potential for energy saving, providing a basis for decision-making in energy optimization. Suitable for manufacturing enterprises of various scales and production characteristics. Third, expected cooperation methods and investment: adopt a cooperative approach of industry-university-research collaboration. 2-year investment: 2 million yuan, focusing on the application and promotion of software systems through industrial-university-research cooperation models, and customizing software systems according to the actual needs of comprehensive energy efficiency evaluation of enterprises.