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智慧照明监控系统
引用本文:何伟,李云飞.智慧照明监控系统[J].计算机系统应用,2019,28(12):72-78.
作者姓名:何伟  李云飞
作者单位:苏州工业园区职业技术学院, 苏州 215000,苏州大学 计算机科学与技术学院, 苏州 215009
基金项目:江苏省高等学校自然科学研究面上项目(17KJD520008)
摘    要:设计并实现了智慧照明监控系统,为进一步提高系统的智能化程度,利用关联规则挖掘控制命令之间的内在联系,考虑到传统Apriori算法需进行自相连方式生成大量候选集,执行效率偏低,采用改进的Apriori算法,以遍历加权图的形式生成频繁集,提高算法执行效率,生成控制模式关联规则.该规则应用于智慧照明监控系统的控制模块中,实现对控制模式的智能关联,降低了系统对于管理人员经验的依赖性,提高了工作效率,具有一定的社会应用及推广价值.

关 键 词:数据挖掘  智慧照明  控制模型  Apriori算法
收稿时间:2019/4/15 0:00:00
修稿时间:2019/5/16 0:00:00

Intelligent Lighting Control System
HE Wei and LI Yun-Fei.Intelligent Lighting Control System[J].Computer Systems& Applications,2019,28(12):72-78.
Authors:HE Wei and LI Yun-Fei
Affiliation:Suzhou Industrial Park Institute of Vocational Technology, Suzhou 215000, China and School of Computer Science and Technology, Soochow University, Suzhou 215009, China
Abstract:In order to improve the intelligence of smart city lighting monitoring system, the association rules are used to mine the intrinsic connection among control commands. Considering that the traditional Apriori algorithm uses a self-connected method to generate a large number of candidate sets, the execution efficiency is low, so the improved Apriori algorithm is adopted. The frequent set is generated by traversing the weighted graph form, the algorithm execution efficiency is improved, and the control mode association rule is generated. The application of the rule and the control module of the smart city lighting monitoring system realizes the intelligent association of the control mode, reduces the dependence of the system on the management personnel experience, improves the work efficiency, and has certain social application and promotion value.
Keywords:data mining  lighting monitoring system  control mode  Apriori algorithm
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