Two-procedure machining dynamic scheduling method of fault-free RGV intelligent system

Abstract

The invention discloses a two-procedure machining dynamic scheduling method of a fault-free RGV intelligent system. The method comprises the following steps: duration data of machining a single-time two-procedure product through the RGV system is taken as a system parameter; according to the RGV intelligent machining system, four sets of symmetrical machining cutter heads are arranged on the two sides of a single track; the maximum total time of a one-procedure machining duration and a two-procedure CNC cutter head idle machining duration of the product is taken as a target; a machined productnumber, the machining duration and machining cutter head CNC mark numbers of the system are considered as system constraint variables; state transition is carried out along with time change; a queuing theory-dynamic planning prediction model is built; batch product production and machining are predicted and analyzed; optimal one-procedure and two-procedure distribution schemes of machining cutterhead CNC are obtained by a random incremental learning mechanism; and a basis is provided for a working plan of production.

Description

technical field [0001] The invention relates to the field of RGV technology, in particular to a dynamic scheduling method for two-process processing in a trouble-free RGV intelligent system. Background technique [0002] With the development of automation control technology, the single-track RGV intelligent system has been widely used in various product deep processing industries instead of manual labor due to its advantages of low price, convenience and flexibility. However, due to different industry application requirements, a single-group single-track RGV intelligent system is often required to process products in two processes. The two-process processing is far more complicated than the one-process processing process. It is necessary to reasonably allocate the CNC machining tool heads, lack of a reasonable allocation plan, and the utilization efficiency of the RGV intelligent system is low. This has always been a small and medium-sized enterprise that does not have high ...

AI Technical Summary

Problems solved by technology

The two-process processing is far more complicated than the one-process processing. It is necessary to reasonably allocate the CNC machining tool heads. There is a lack of a reasonable allocation plan, and the utilization efficiency of the RGV intelligent system is low. Difficulties, especially for those small and medium-sized enterprises that are short of funds and aging outdated equipment, the RGV intelligent system will inevitably experience frequent failures and shutdowns, and more optimized decision-making solutions are needed

Some models that combine genetic algorithms or simulated annealing methods with network models such as directed graphs and Petri nets can evolve the processing of items into certain network changes through network construction, and at the same time seek network optimization through intelligent algorithms, which can achieve the task The optimal arrangement of the network model can well avoid the established artificial model, but the model combined with the intelligent algorithm and the network model requires a large amount of data training, the solution is cumbersome, and the practicability for small and medium-sized enterprises is not obvious

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