Research on Rule Engine Optimization Algorithm in Internet of Things Teaching Platform

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原文链接

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外文摘要：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。

外文关键词：

Internet of Thingsrule engineoptimization algorithm

作者：

JianZhong Li、Qiang Wan、ZhiQiang Zhang

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作者单位：

School of Entrepreneurship, Guangdong Innovative Technical College, DongGuan, 523000, Guangdong, China

School of Computer Science and Engineering, South China University of Technology, GuangZhou, 510000, Guangdong, China

School of Intelligent Manufacture, Shunde Polytechnic, FoShan, 528300, China

会议名称：

International Conference on Algorithms, High Perormance Computing, and Artificial Intelligence

会议地点：

Qingdao(CN)

会议母体文献：

International Conference on Algorithms, Imaging Processing, and Machine Vision

页码：

129690C.1-129690C.6

出版时间：

2023

DOI：

10.1117/12.3014592