Device Selection on CAN bus for Temporal Data Alignment

• Main Authors: Bo-Wen Xiao, 蕭博文
• Other Authors: Chi-Sheng Shih
• Format: Others
• Language: en_US
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/9b282r

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 106 === Big data is the foundation of Industry 4.0. To catch up the trend of Industry 4.0, the smart factory installs multiple supplementary sensors on production machinery and production line to collect sensed data. With the use of these sensed data, the factory server optimizes the production process. However, adding multiple supplementary sensors affects the operation in controller area network. For example, most of the data cannot be real-time transmitted. The factory does not know the correct time order of data because it has no time-stamp. In this thesis, we use optimal priority assignment algorithm and maximal schedulable sensors selection algorithm to select the maximal schedulable set. The selection method is based on the importance and property of sensors. Without influencing the operation of sensing machine system, these data can be transmitted real-time before their deadlines through controller area network. In the end, we use data alignment protocol to arrange these sensed data in the order in which they are actually sampled.