Intent prediction-based industrial data flow scheme

Fangning Shi; Zhifeng Gao; Kai Li; Wei Liu

doi:10.1117/12.2668285

28 June 2023 Intent prediction-based industrial data flow scheme

Fangning Shi, Zhifeng Gao, Kai Li, Wei Liu

Proceedings Volume 12720, 2022 Workshop on Electronics Communication Engineering; 1272002 (2023) https://doi.org/10.1117/12.2668285
Event: 2022 Workshop on Electronics Communication Engineering (WECE 2022), 2022, Xi'an, China

Abstract

We propose an intent prediction-based industrial data flow scheme, which is mainly designed to input and parse the user's intent, and then get the user's intent more precisely and make corresponding policy matching for the user's intent. Aiming at the blockage of a large number of industrial data circulation in industrial scenarios, the solution combines the prior prediction knowledge of intent to predict the intent of industrial data and develop customized circulation schemes for different types of industrial data. Experimental results show that the proposed scheme can effectively improve the blockage of large-scale industrial data flow, determine the data control strategy flexibly and quickly, and further improve the intelligence of data sharing and circulation.

Citation Download Citation

Fangning Shi, Zhifeng Gao, Kai Li, and Wei Liu "Intent prediction-based industrial data flow scheme", Proc. SPIE 12720, 2022 Workshop on Electronics Communication Engineering, 1272002 (28 June 2023); https://doi.org/10.1117/12.2668285

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