Equipment predictive maintenance system and method based on digital twin technology

Abstract

The invention provides an equipment predictive maintenance system and method based on a digital twin technology, and the system comprises a communication module which is used for completing the data real-time connection of all equipment, a protocol conversion module which is used for unifying industrial equipment with different protocol standards, a three-dimensional scene module which is used for performing high-precision three-dimensional modeling reduction on the industrial equipment, an engine rendering module which is used for loading static three-dimensional model data and endowing specific physical, geometric, behavioral and regular attributes, a data fusion module which is used for importing a predictive maintenance algorithm into a digital twinborn platform to provide calculation and drive updating of a digital twinborn body, and a visualization module which is used for calling the simulation result to carry out visual display and experience. The operation and maintenance work of maintenance according to the specific condition and the specific analysis of the equipment in the industrial internet industry is solved, and the accuracy of the maintenance of the equipment is improved.

Description

technical field [0001] The present invention relates to the technical field of industrial Internet intelligent manufacturing, and in particular to an equipment predictive maintenance system and method based on digital twin technology. Background technique [0002] Factories generally adopt regular maintenance methods for processing and manufacturing equipment. However, in the face of complex production and operation environments and equipment instability, equipment failures often occur, so the limitations of traditional maintenance methods are increasing. How to use the operation data of industrial equipment to collect status parameters and realize predictive maintenance of equipment is the urgent task of factory operation and maintenance. [0003] At present, some factories are still in the stage of passive control and management. The data of the equipment is collected manually or entered manually offline. The amount of data collected in this way is small, and the processed...

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Problems solved by technology

[0003] At present, some factories are still in the stage of passive control and management. The data of the equipment is collected manually or entered manually offline. The amount of data collected in this way is small, and the processed data also has certain limitations and delays, which cannot reflect the equipment in a timely manner. The status and problems in the production process lead to the problem of poor data timeliness in the management process of the enterprise. The failure of the equipment to respond in time will lead to huge impacts such as shutdown and increase the manufacturing cost of the enterprise.

[0004] Although some factories have adopted a more advanced form of the Internet of Things to carry out interconnected real-time control and management of manufacturing and processing equipment, so that production data can be presented in a timely manner, reducing the problem of loose connection between data and information in the production process of various equipment, but this method is still Operators are required to monitor, manage and maintain the data information obtained by manufacturing and processing equipment. The accuracy of information decision-making depends entirely on the experience of the operators, and different operators may draw different conclusions, resulting in unstable production processes. , Interfering factors cannot be eliminated and other problems still exist

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