首页|IoTDQ:An Industrial IoT Data Analysis Library for Apache IoTDB
IoTDQ:An Industrial IoT Data Analysis Library for Apache IoTDB
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There is a growing demand for time series data analysis in industry areas.Apache IoTDB is a time series database designed for the Internet of Things(IoT)with enhanced storage and I/O performance.With User-Defined Functions(UDF)provided,computation for time series can be executed on Apache IoTDB directly.To satisfy most of the common requirements in industrial time series analysis,we create a UDF library,IoTDQ,on Apache IoTDB.This library integrates stream computation functions on data quality analysis,data profiling,anomaly detection,data repairing,etc.IoTDQ enables users to conduct a wide range of analyses,such as monitoring,error diagnosis,equipment reliability analysis.It provides a framework for users to examine IoT time series with data quality problems.Experiments show that IoTDQ keeps the same level of performance compared to mainstream alternatives,and shortens I/O consumption for Apache IoTDB users.
industrial big datadata qualitydata mining and analytics
Pengyu Chen、Wendi He、Wenxuan Ma、Xiangdong Huang、Chen Wang
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School of Software,Tsinghua University,Beijing 100084,China
National Engineering Research Center for Big Data Software(NERCBDS),Tsinghua University,Beijing 100084,China
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