Scene perception system and method for digital twin workshop

Abstract

The invention relates to a scene perception system and method for a digital twin workshop. The scene perception system comprises a data acquisition module, a scene perception module and a data miningmodule which are sequentially connected. The data acquisition module is used for acquiring numerical control workshop information data. The scene sensing module is used for preprocessing the numericalcontrol workshop information data acquired by the data acquisition module. Constructing a numerical control workshop body model, constructing a hierarchical relationship among the data, eliminating contradiction information through ontology reasoning detection, and loading the previously stored preprocessed data into the numerical control workshop body model to realize instantiation of the numerical control workshop body model. And the data mining module is used for mining potential association in the data by operating a mining algorithm required by a user. According to the method, the sceneperception technology and the ontology modeling technology are utilized, the problems of big data and small information existing in the manufacturing process are solved, the digital twin workshop model is updated in real time, and the method can serve as a basis for subsequent operation such as fault prediction and target optimization.

Description

Technical field [0001] The present invention relates to a scene sensing system and method for digital twin workshops. Specifically, it is a sensing strategy that collects, analyzes, processes, stores and utilizes data in a manufacturing environment efficiently, accurately and autonomously. It belongs to the large-scale Data processing and context-aware technology fields. Background technique [0002] Digital Twin is a digital twin that makes full use of data such as physical models, sensor updates, and operation history to integrate multi-disciplinary, multi-physical quantities, multi-scale, and multi-probability simulation processes to complete mapping in virtual space to reflect the characteristics of the corresponding physical equipment. Full life cycle process technology. [0003] At present, workshop information technology has become mature. Its development is to pursue processing automation, improve product processing accuracy, and reduce worker labor intensity. Work...

AI Technical Summary

Problems solved by technology

Workshop information technology provides a large number of data sources for the realization of intelligent manufacturing. However, due to the complexity of workshop equipment and the environment, the obtained state data is usually complex, coupled, and time-varying, and there is a problem of "big data, small information". Directly use these data to build data sets for intelligent decision-making, which is prone to low processing efficiency and difficult and insufficient effective information acquisition

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