A dynamic scheduling method for two-process processing in a trouble-free rgv intelligent system

Abstract

The invention discloses a dynamic scheduling method for two-stage process processing of a trouble-free RGV intelligent system, which includes: using the time length data of a single two-stage process product processed by the RGV system as a system parameter, four sets of symmetrical processing knives on each side of a single track The RGV intelligent processing system of the head aims to maximize the processing time of the product in one process and the total idle time of the CNC tool head in the second process. Considering the system product number, processing time, and CNC label of the processing tool head as system constraint variables, it changes with time. Carry out state transfer, establish queuing theory-dynamic programming prediction model, predict and analyze batch product production and processing, and use random incremental learning mechanism to find out the best one and two process allocation schemes for machining cutter head CNC, and provide production The basis for the work plan.

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 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 requirements for RGV intelligent technology. 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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