Optimization Design Method of Ventilation System Based on Fuzzy Logic in Industrial Ventilation Design

Traditional design methods based on empirical formulas or deterministic models are difficult to effectively cope with the complexity and uncertainty of the factory production environment. In this paper, a fuzzy logic-based design method for industrial ventilation system optimization is proposed. The method first establishes a fuzzy optimization model containing objective functions such as ventilation effect, energy consumption and investment cost. Then the fuzzy optimization model is solved using a genetic algorithm to generate a set of potential optimal solutions. Finally, these solutions are comprehensively evaluated using fuzzy decision theory, and the optimal solution is selected as the final ventilation system design. The results of the study show that the start-up time is 10–18 minutes, which is 3–5 minutes faster than the previous system. The introduction of fuzzy logic also makes the method highly interpretable, providing engineers with clear decision support.