基于数据集挖掘算法的绿色智能建筑通用监控信息平台探讨

Qiang Zhou
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引用次数: 0

摘要

在基于Hadoop平台对健康物联网数据进行处理和挖掘时,本文首先研究了Hadoop源代码,设计并实现了一种分布式数据清洗算法,过滤冗余数据;一般决策表中最简单规则或全部规则的理论挖掘是一个NP-Hard问题,研究了不同绿色建筑技术点在不同星级、不同建筑类型的绿色建筑项目中的应用频率。基于数据平台的绿色建筑技术应用分析可以辅助绿色建筑的优化设计,为绿色建筑参与者和政策制定者提供参考。积极构建“AIoT +智慧建筑”的理想组合,掌握应用人工智能和物联网理论技术解决实际问题的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discussion on the General Monitoring Information Platform of Green Intelligent Building based on Data Set Mining Algorithm
When processing and mining health IoT data based on the Hadoop platform, this paper firstly studies the Hadoop source code, designs and implements a distributed data cleaning algorithm to filter redundant data; Theoretical mining of the simplest rules or all rules of general decision tables is an NP-Hard problem, and the application frequency of different green building technology points in green building projects with different star ratings and different building types is studied. The application analysis of green building technology based on the data platform can assist in the optimal design of green buildings for the reference of green building participants and policy makers. Actively build an ideal combination of "AIoT + smart buildings", so as to master the methods of applying artificial intelligence and Internet of Things theories and technologies to solve practical problems.
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