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State Monitoring of Chemical Plants using Normal Operation Historical Data and Application to Soft Sensors

Research Project

Project/Area Number 26420781
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Reaction engineering/Process system
Research InstitutionKyushu University

Principal Investigator

Tsuge Yoshifumi  九州大学, 工学研究院, 教授 (00179988)

Project Period (FY) 2014-04-01 – 2017-03-31
Project Status Completed (Fiscal Year 2016)
Budget Amount *help
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Keywords化学プラント / 運転監視 / 正常状態予測 / ソフトセンサー / データベースモデル
Outline of Final Research Achievements

In a chemical plant, the values of the state variables are measured in real time for operation and monitoring and are stored as the operation historical data at the same time. But most of them are the historical data during normal operation. In this study, we have developed a method to accurately predict the current normal state by referring to historical data during past normal operation which has been accumulated in large quantities. Its usefulness has been demonstrated by applying it to the boiler plant whose normal states are uncertainly varied. Furthermore, we showed that the proposed method can be applied to soft sensors widely used for estimating values of variables that are difficult to be measured in real time by numerical experiments based on operational data in actual plant.

Report

(4 results)
  • 2016 Annual Research Report   Final Research Report ( PDF )
  • 2015 Research-status Report
  • 2014 Research-status Report
  • Research Products

    (1 results)

All 2014

All Presentation (1 results)

  • [Presentation] Discussion on Similarity Index and Variable Selection in Soft Sensor using the DB Model2014

    • Author(s)
      Kohei TAKAMATSU, Naoki KIMURA and Yoshifumi TSUGE
    • Organizer
      The 27th International Symposium on Chemical Engineering (ISChE 2014)
    • Place of Presentation
      Kuala Lumpur, Malaysia
    • Year and Date
      2014-12-05 – 2014-12-07
    • Related Report
      2014 Research-status Report

URL: 

Published: 2014-04-04   Modified: 2018-03-22  

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