I. Project Introduction Provide the function of coupling analysis and optimization between production process and energy process. Establish a coupled process model of production and energy, simulate the coupling relationship of energy flow, material flow, information flow, and emission flow through model simulation, and use intelligent optimization algorithms to provide production process optimization scheduling solutions oriented towards energy saving and emission reduction. Specific functions include: modeling of production and energy processes, model simulation, analysis of simulation results, and optimization of scheduling schemes. Technical features: (1) Based on the 'integration of four flows' comprehensive analysis and optimization of energy systems. The production process is accompanied by an energy consumption process, which interact and affect each other. The coupled system of production and energy is a complex system formed by the coupling interaction of energy activities and production activities. Compared to general biological systems, it emphasizes the impact of energy flow on production activities. The core idea of the system is 'integration of four flows'. The 'four flows' refer to energy flow, material flow, Information flow and emission flow. 'Integration' has two meanings: from the perspective of the physical structure of the production system, the 'four flows' are the connecting links between various production equipment in the production process system, and the construction and operation of the 'four flows' reflect the integrated thinking throughout the entire production process; from the perspective of energy analysis and optimization, the tight coupling characteristics between the 'four flows' are evident, with the performance of the energy flow being directly affected by the other three flows. Comprehensive analysis and optimization of the energy system must be based on the unified analysis and overall optimization of the 'four flows'. (2) Based on hybrid Petri nets, a technology for analyzing and optimizing energy consumption processes is proposed, which involves modeling the production energy consumption process using hybrid Petri nets to describe the interactive behavior of energy flow, material flow, information flow, and emission flow during the production process. Through the model, one can intuitively understand the generation paths of energy flow, material flow, emission flow, and information flow in the production process. Simulate the complex coupling relationships between energy flow, material flow, information flow, and emission flow in production process systems to reveal the important factors affecting energy utilization during production. (3) Intelligent optimization technology oriented towards production schedule optimization is based on simulation, using intelligent optimization methods such as genetic algorithms, to incorporate energy efficiency indicators into production plan optimization scheduling while considering delivery deadlines. The aim is to optimize the coordinated operation of energy flow, material flow, information flow, and emission flow to improve energy utilization rates. II. Project industrialization prospects and application fields Through functions such as visual modeling, dynamic simulation, and optimized scheduling, it provides analysis and optimization capabilities for the coupling process of enterprise production and energy consumption, revealing the coupling effects of energy flow, material flow, information flow, and emission flow; by optimizing model selection and simulation, it offers enterprises production optimization scheduling decision-making solutions aimed at energy saving and emission reduction. Reduced the energy consumption of typical energy-consuming equipment, achieved production optimization scheduling based on energy constraints throughout the process, thereby improving energy utilization. Applicable to manufacturing enterprises of various scales and production characteristics. III. Expected Cooperation Mode and Investment: Take a combination of industry, academia, and research for cooperation. 2 years of investment: 2 million yuan, focusing on adopting the industry-academia-research cooperation model for the promotion and application of software systems, and customizing the software system according to the actual needs of the enterprise.