Evaluation Methods and Index System for Data Quality of Public Building Energy Consumption Monitoring Platforms

Abstract

The process of the constructing and operating building energy consumption monitoring platforms (BECMPs) has last for more than a decade in China. In the meantime, a lot of problems occurred, such as data loss and data anomaly. However, there is lacking method to automatically measure the data quality of BECMPs. Most data problems can only be discovered by human checking, which is often delayed, and the severity is often unclear, resulting in restriction to further data utilization. Based on previous research on the causes of data loss and data anomaly, this paper put forward an index system to evaluate the data quality of BECMPs. The index system targets the data quality itself as well as the designing, constructing, debugging, operating and maintaining process of BECMPs, which enable the maintenance personnel to have a clear knowledge of the data quality and help them keep the system in an optimal state.