Research on rule engine optimization algorithm in internet of things teaching platform

JianZhong Li; Qiang Wan; ZhiQiang Zhang

doi:10.1117/12.3014592

9 January 2024 Research on rule engine optimization algorithm in internet of things teaching platform

JianZhong Li, Qiang Wan, ZhiQiang Zhang

Proceedings Volume 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023); 129690C (2024) https://doi.org/10.1117/12.3014592
Event: International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023), 2023, Qingdao, China

Abstract

The rule engine is an important part of the industry-education integrated Internet of Things teaching platform, and it is the basis for realizing the dynamic configuration of business rules in the practical teaching function. Combined with the data characteristics of the Internet of Things application scenario, this paper proposes a rule engine optimization algorithm based on Rete, and designs a pre-sorting algorithm based on rule frequency, which pre-sorts the order of nodes according to the frequency of use of rule patterns, with priority Match frequently used patterns, increases the sharing rate of nodes, and reduce the memory usage of the inference network. Through experimental simulation, the improved algorithm is verified, and the experimental results prove the effectiveness of the algorithm.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

JianZhong Li, Qiang Wan, and ZhiQiang Zhang "Research on rule engine optimization algorithm in internet of things teaching platform", Proc. SPIE 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023), 129690C (9 January 2024); https://doi.org/10.1117/12.3014592

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