基于数据挖掘技术的智能系统集成应用研究

Rongjian Zhang
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引用次数: 0

摘要

数据挖掘技术能够从大量的信息数据中准确地提取出有用的信息,并且具有去虚和保真的功能,因此在智能系统集中有着非常重要的应用。智能建筑的本质条件是建筑智能化,而智能建筑系统设计的核心是系统集成。智能建筑系统集成的主要目标是实现信息集成,而数据仓库技术是解决智能建筑信息集成问题的有效解决方案。数据挖掘技术是对各类海量数据和信息进行分析和处理,实现数据到信息的转化,为领导者的决策提供有效支持。本文提出的基于数据挖掘技术的楼宇智能系统集成新模型,解决了楼宇智能系统集成过程中的兼容性和开放性问题,实现了楼宇智能系统安全高效的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Application of Intelligent System Integration Based on Data Mining Technology
Data mining technology can accurately extract useful information from a large amount of information data, and also has the function of removing falsehood and preserving truth, so it has a very important application in intelligent system set. The essential condition of intelligent building is building intelligence, and the core of intelligent building system design is system integration. The main goal of intelligent building system integration is to realize information integration, and data warehouse technology is an effective solution to solve the problem of intelligent building information integration. Data mining technology is used to analyze and process various kinds of massive data and information, so as to realize the conversion from data to information and provide effective support for leaders' decision-making. The new model of building intelligent system integration based on data mining technology proposed in this paper has solved the compatibility and openness problems in the process of building intelligent system integration, and achieved the goal of safe and efficient building intelligent system.
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