绿色建筑运行数据的异常分析与处理

2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE) Pub Date : 2016-07-27 DOI:10.1109/CCSSE.2016.7784343

Xuantao Zhang, Chenfei Qu, Botao Huang, Donglin Wang

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引用次数: 2

摘要

随着绿色建筑各项性能的不断提高，数据量也越来越大。绿色建筑的运维需要使用这些数据进行分析和决策，而数据分析的前提是各个系统收集的数据是准确的。本文对绿色建筑光伏发电系统和空调系统中的数据进行分析和预处理，根据数据的特点，采用基于删除模型的Cook-distance算法和改进的LOF算法进行异常分析，建立异常数据的实时检测模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Exception analysis and treatment of operation data in green building

Along with the continuous improvement of various properties of green building, the amount of data is more and more big. The operation and maintenance of the green buildings need to use these data to analyze and make decisions, and the premise of the data analysis is that the data collected by each system is accurate. In this paper, the data in the PV power generation system and the air conditioning system of the green building were analyzed and pre-treatment, using the Cook-distance algorithm based on the deletion model and improved LOF algorithm to analysis abnormal according to the characteristics of the data, and establishing a real-time detection model of abnormal data.

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来源期刊

2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)

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