Visualizing time-series data in processlines: design and evaluation of a process enterprise application

  • Authors:
  • Xiongfei Luo;Feng Tian;Wei Liu;Dongxing Teng;Guozhong Dai;Hongan Wang

  • Affiliations:
  • Graduate University and Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China and State Key Lab. of Computer Science, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China and State Key Lab. of Computer Science, Beijing, China

  • Venue:
  • Proceedings of the 2010 ACM Symposium on Applied Computing
  • Year:
  • 2010

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Abstract

In modern process industry, it is often difficult to analyze a manufacture process due to its numerous time-series data. Analysts wish to not only interpret the evolution of data over time in a working procedure, but also examine the changes in the whole production process through time. To meet such analytic requirements, we have developed ProcessLines, an interactive visualization tool for a large amount of time-series data in process industry. The data are displayed in a fisheye timeline. ProcessLines provides good overviews for the whole production process and details for the focused working procedure. A user study using beer industry production data has shown that the tool is effective.