As a crucial first step in the entire data cleaning process, data preprocessing is directly related to the quality of the data, which in turn greatly affects the effectiveness and efficiency of the subsequent cleaning process. Therefore, we must establish and improve a multi-dimensional, high-quality, and systematic industry. Internet identification data preprocessing procedures have very significant research value and practical value. This standard formulates general procedures for data preprocessing from multiple perspectives such as purpose, classification, effects, common technologies, etc., to guide the development of data preprocessing related work in practical applications.
T/ZIIC 001-2022 history
2022T/ZIIC 001-2022 Industrial Internet identification data processing preprocessing procedures
2021T/ZIIC 001-2021 Application Scenarios and Network Requirements of Time-Sensitive Network Technology in Process Industry
2020T/ZIIC 001-2020 Technical Requirements for Bluetooth Low Energy based Industry IoT Transmission Solution