Petrochemical unattended loading and unloading line digital twinning intelligent monitoring system and method

Abstract

The invention discloses a petrochemical unattended loading and unloading line digital twinning intelligent monitoring system. The system comprises a physical entity, a digital twinning body, an intelligent gateway, a cloud server, a network switch and a client interaction terminal. A digital twinning model is established according to an actual petrochemical loading and unloading line, a loading and unloading line digital twinning body is constructed, the twinning body acquires equipment operation state and process real-time data through an intelligent gateway, twinning data are updated through data fusion, and perception analysis, iterative optimization and decision control are performed by adopting a neural network deep learning algorithm. And meanwhile, the equipment operation state is monitored in real time based on the digital twinning model, parameter control optimization is conducted on loading and unloading operation, and fault prediction and maintenance are conducted on the whole loading and unloading line. The problems that an existing loading and unloading line is low in efficiency, low in visualization degree, poor in man-machine interaction capacity, weak in equipment coordination capacity and the like are solved, and the monitoring real-time performance, the operation efficiency and the equipment safety of the loading and unloading line are improved.

Description

Technical field

[0001] The present invention belongs to the monitoring and management technique of the petrochemical industry, especially a petrochemical unobstructed, the digital twin intelligent monitoring system and method.Background technique

[0002] At present, human society is in a new era of major development, cloud computing, Internet of Things, big data, and artificial intelligence and other new generation information technology, leading industrial change, and has become a new era with digital economy. The development trend of the field, the new model such as industrial Internet, digital twins came into being. As a key technique for realizing digital transformation, solving interaction between physical world and information world, practicing intelligent manufacturing goals is being widely concerned.

[0003] Although the automation level of the current petrochemical industry has improved, there are still many problems, and the loading and unloading operations require operational ope...

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