住宅室内空气质量和通风系统性能在线监测平台及数据库*
On-line monitoring platform and database for indoor air quality and ventilation system performance of residential buildings
摘要：
搭建了一个住宅室内环境参数和通风系统性能的多传感器阵列式在线监测平台，建立了MySQL数据库，该数据库不仅能够将数以亿计的长期监测时序数据（LMTD）、住户信息数据和研究成果数据加以存储，更能对这些数据进行关系型管理。在数据预处理方面，改进了一些用于过滤LMTD异常值和消除LMTD数据漂移的算法及其选择机制，使得LMTD的预处理最为有效。
关键词：室内空气质量,通风系统,在线监测平台,MySQL数据库,长期监测时序数据（LMTD）,数据异常值过滤,数据漂移消除
Abstract：
Develops a multi-sensor array on-line monitoring platform for residential indoor environmental parameters and ventilation system performance and a MySQL database, which can not only store hundreds of millions of long-term monitoring time-series data (LMTD), household information data and research data, but also manage them in a relational manner. Improves a bunch of algorithms to filter LMTD outliers and eliminate LMTD deviations, as well as algorithm selecting mechanisms to maximize the effectiveness of LMTD preprocessing.
Keywords:indoor air quality, ventilation system, on-line monitoring platform, MySQL database, long-term monitoring time-series data (LMTD), data outlier filtering, data deviation removal