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20 October 2022 An edge-aware-oriented semantic association retrieval method for industrial data
Yang Liu, Tianshi Zhang, Jinchao Xiao
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Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 123502I (2022) https://doi.org/10.1117/12.2653038
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China
Abstract
The development of the Industrial Internet has caused a change that traditional internet technologies gradually sink into the field of industrial manufacturing. Due to the high degree of business coupling at the edge of industrial production, the relationships between the data are complex and difficult to comprehensively analyze and apply. This paper proposes a data semantic association retrieval method for industrial data at the industrial edge. Firstly, the framework of semantic association retrieval of industrial data is established, and then the construction method of inverted table in association retrieval is explained, including the formation method of keyword set and concept set, and the algorithm for realizing semantic association retrieval is given. The algorithm is verified in the actual scene of the test production line, and the results show that the algorithm in this paper is feasible and effective in relational retrieval.
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Yang Liu, Tianshi Zhang, and Jinchao Xiao "An edge-aware-oriented semantic association retrieval method for industrial data", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 123502I (20 October 2022); https://doi.org/10.1117/12.2653038
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KEYWORDS
Databases
Data storage
Internet
Computing systems
Manufacturing
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