IPPS problem solving method under uncertain disturbance based on digital twinning

Abstract

The invention provides an IPPS problem solving method under uncertain disturbance based on digital twinning. According to the method, man-machine interaction, a physical workshop, a twinborn model, a twinborn control platform and a production plan making module are included, wherein the twinborn control platform is composed of a data acquisition part, a data processing part, a state prediction part, a production detection part, a database part and the like. The production plan making comprises the functions of integrated process planning, dynamic construction of a workshop scheduling model, process adaptation and production plan optimization. Thus, the digital twinning technology can be fully utilized to predict the workshop state, and the optimization target of production is dynamically determined, so that a dynamic mathematical model of integrated process planning and workshop scheduling is constructed in real time; meanwhile, the multi-flexibility characteristics of integrated process planning and workshop scheduling problems are considered, process adaptation is provided, task requirements and workshop current situations can be accurately docked and machining processes can be matched, so that the production efficiency of workshops and the stability of the production process are improved.

Description

technical field [0001] The invention relates to the field of intelligent manufacturing, in particular to a digital twin-based method for solving IPPS problems under uncertain disturbances. Background technique [0002] As an important bridge linking design and manufacturing, process planning and workshop scheduling have an important impact on workshop production. In traditional research, process planning and workshop scheduling are regarded as two independent systems, but in fact process planning and workshop scheduling are interrelated and mutually restrictive as a whole. The output of process planning restricts the allocation of workshop resources, and the real-time status of workshops Affects the effectiveness of process planning. The integrated process planning and scheduling (IPPS) method, which studies the two systems as a whole, is of great significance for eliminating resource conflicts and improving resource utilization and equipment efficiency. In the actual prod...

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Problems solved by technology

[0003]In existing methods, fuzzy numbers and interval numbers are mostly used to describe the uncertainty of processing time and delivery date; using rolling window technology, fuzzy neural network, Add buffer time windows and other methods to deal with disturbance events such as machine failure and new workpiece arrival. Only one or two disturbance events are considered each time. The evaluation index is fixed, and the data transmission is also one-way, but the disturbance event is not determined in the IPPS problem. There are many types, the randomness of disturbance events is large, and the IPPS problem is an NP-Hard problem, the solution space is huge and complex, and the calculation amount of the solution is large, so the existing methods have limitations in solving the integration problem of process planning and workshop scheduling under uncertain disturbances more obvious

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