关键词: 制造物联网, 复杂事件处理, 多模式匹配, 自动机模型, 双数组trie树

Abstract: Real-time massive data streams in the manufacturing IOT（Internet of Things） call for efficient event detection and processing methods. Efficient event detection means that more input events can be handled with less storage space per unit time. This paper presents a multi-pattern complex event detection method based on double-array trie-tree. The method reduces the detection and computation of redundancy in the query by constructing a multi-pattern matching automata model, and fully compresses the storage space by using the double-array trie-tree, thus improves the efficiency of the complex event processing. Simulation results show that compared with the traditional single-pattern complex event detection methods, the proposed scheme has less space and time consumption.

Key words: manufacturing IOT, complex event processing, multi-pattern matching, automata model, double-array trie-tree