Digital twin manufacturing unit behavior modeling method based on time automaton

Abstract

The invention discloses a digital twin manufacturing unit behavior modeling method based on a time automaton. Physical entity composition and processing requirements of a manufacturing unit are investigated, behavior characteristics and corresponding time parameters are obtained, and for a specific processing task, a manufacturing unit processing equipment operation sequence containing a unique identification number, a procedure number, a processing equipment identification number and processing time of a product in process is generated based on a heuristic intelligent algorithm; a time automaton model of the processing equipment, the transfer equipment, the buffer area and the storage is constructed; a timed automaton network is constructed by taking product circulation as a core, and a behavior model of the manufacturing unit is generated; and a manufacturing unit overall behavior sequence comprising the equipment operation sequence and the in-process product state tracking sequenceis generated for executing analysis of the manufacturing unit twinning body according to the operation sequence of the processing equipment. According to the method, the behavior logic of the manufacturing unit is effectively and accurately described, and the self-organization, self-adaptation and self-decision capabilities of the manufacturing unit are improved.

Description

technical field [0001] The invention belongs to the technical field of manufacturing system automation, and in particular relates to a timed automata-based digital twin manufacturing unit behavior modeling method. Background technique [0002] Manufacturing is the pillar industry of the national economy. The integration and development of the new generation of information technology and manufacturing represented by cloud computing, Internet of Things, edge computing, big data analysis and artificial intelligence has become the main feature and development direction of the manufacturing industry in the information age. Digital twins can establish a two-way dynamic connection between the physical world and the virtual world. It is a key enabling technology to realize the integration of manufacturing information and physics and promote the application of intelligent manufacturing. The digital twin needs to realize the model construction under multi-disciplinary and multi-field...

AI Technical Summary

Problems solved by technology

Taking impeller processing as an example, there are multiple processes involved. Under the intelligent workshop system, the interaction between processes is completed by robots and the handling and storage system, and the interaction between signal flow, control flow, and workpiece flow is highly coupled and complex.

The existence of various interactive behaviors becomes very complicated for the programming and overall operation control of the PLC or program of the workshop master control system

On the other hand, most of the research on the modeling of the digital twin system of the existing manufacturing unit focuses on the single equipment, the specific process of processing or the production management stage, and there is a lack of a more reliable and accurate modeling method for the behavioral logic operation modeling at the workshop equipment level

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