OPTIMIZATION SCHEDULING DECISION METHOD EMPLOYING SIMULATION TECHNIQUE FOR AIR COMPRESSOR ASSEMBLY

摘要

Optimization scheduling decision method employing simulation technique for air compressor assemblies, pertaining to the technical field of information. The method comprises: constructing a sample set of an air compression energy consumption model by using expert experience, learning, by means of a least squares algorithm, a parameter related to the air compressor energy consumption model, setting an objective function as maximizing an equivalent electrical energy-based energy conversion rate and minimizing financial costs, and finding, by applying a simulation technique and a depth-first tree search algorithm, a solution of a multi-objective optimization scheduling model for the air compressor assembly; and describing a preference of a decision maker by using a fuzzy logic theory, and introducing preference information of the decision maker into interactive decision making, thereby helping manufacturing operators to establish a safe, economical, efficient, and environmentally-friendly operation scheme, and realizing an operation mode maximizing resource utilization of the air compressor assemblies. The method is widely applicable in various industrial fields.