The invention discloses an equipment resource
configuration optimization method based on
knowledge graph driving. The method comprises the steps that a
knowledge graph of manufacturing resources is organized and generated, and
machining process knowledge modeling and workshop
machining equipment modeling are involved; the formed
knowledge graph is subjected to a
distributed representation learningand resource prediction matching method, and the relation between the knowledge graph and mining manufacturing resource
implicit knowledge is further represented; when a
processing order is issued, acandidate equipment set is constructed in combination with a fuzzy hierarchy method based on knowledge graph driving, and further the candidate equipment set is evaluated and screened through a
community load model to complete reconstruction of the manufacturing unit; and finally,
configuration optimization of an order task is completed by utilizing an optimization
algorithm of the resource configuration
mathematical model, an available
processing equipment set link is formed, and a production process is guided. According to the method provided by the invention, the
data processing capabilityis enhanced to a great extent, the equipment
utilization rate and the equipment
processing flexibility are improved, and meanwhile, the optimal configuration cost of manufacturing resources requiredby a processing task is also reduced through integrated knowledge reuse.