JPWO2021245910A1 - - Google Patents

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Publication number
JPWO2021245910A1
JPWO2021245910A1 JP2020556995A JP2020556995A JPWO2021245910A1 JP WO2021245910 A1 JPWO2021245910 A1 JP WO2021245910A1 JP 2020556995 A JP2020556995 A JP 2020556995A JP 2020556995 A JP2020556995 A JP 2020556995A JP WO2021245910 A1 JPWO2021245910 A1 JP WO2021245910A1
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JP
Japan
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Application number
JP2020556995A
Other languages
Japanese (ja)
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JP7301876B2 (ja
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Classifications

    • C—CHEMISTRY; METALLURGY
    • C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
    • C10G11/00—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils
    • C10G11/14—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils with preheated moving solid catalysts
    • C10G11/18—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils with preheated moving solid catalysts according to the "fluidised-bed" technique
    • C10G11/182—Regeneration
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01J—CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
    • B01J38/00—Regeneration or reactivation of catalysts, in general
    • B01J38/04—Gas or vapour treating; Treating by using liquids vaporisable upon contacting spent catalyst
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01J—CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
    • B01J38/00—Regeneration or reactivation of catalysts, in general
    • B01J38/04—Gas or vapour treating; Treating by using liquids vaporisable upon contacting spent catalyst
    • B01J38/12—Treating with free oxygen-containing gas
    • B01J38/30—Treating with free oxygen-containing gas in gaseous suspension, e.g. fluidised bed
    • C—CHEMISTRY; METALLURGY
    • C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
    • C10G11/00—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils
    • C10G11/14—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils with preheated moving solid catalysts
    • C10G11/18—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils with preheated moving solid catalysts according to the "fluidised-bed" technique
    • C—CHEMISTRY; METALLURGY
    • C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
    • C10G11/00—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils
    • C10G11/14—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils with preheated moving solid catalysts
    • C10G11/18—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils with preheated moving solid catalysts according to the "fluidised-bed" technique
    • C10G11/187—Controlling or regulating
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/026—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system using a predictor
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning

Landscapes

  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Oil, Petroleum & Natural Gas (AREA)
  • Organic Chemistry (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • General Chemical & Material Sciences (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Materials Engineering (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Automation & Control Theory (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Production Of Liquid Hydrocarbon Mixture For Refining Petroleum (AREA)
  • Catalysts (AREA)
JP2020556995A 2020-06-05 2020-06-05 運転状態推定システム、学習装置、推定装置、状態推定器の生成方法、及び推定方法 Active JP7301876B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2020/022274 WO2021245910A1 (ja) 2020-06-05 2020-06-05 運転状態推定システム、学習装置、推定装置、状態推定器の生成方法、及び推定方法

Publications (2)

Publication Number Publication Date
JPWO2021245910A1 true JPWO2021245910A1 (https=) 2021-12-09
JP7301876B2 JP7301876B2 (ja) 2023-07-03

Family

ID=78830749

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2020556995A Active JP7301876B2 (ja) 2020-06-05 2020-06-05 運転状態推定システム、学習装置、推定装置、状態推定器の生成方法、及び推定方法

Country Status (6)

Country Link
US (1) US20220220394A1 (https=)
JP (1) JP7301876B2 (https=)
KR (1) KR20220047593A (https=)
MY (1) MY203924A (https=)
TW (1) TW202202608A (https=)
WO (1) WO2021245910A1 (https=)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023119544A1 (ja) * 2021-12-23 2023-06-29 千代田化工建設株式会社 プログラム、情報処理装置、及び方法
JP7422962B2 (ja) * 2022-02-02 2024-01-26 三菱電機株式会社 機器状態監視装置および機器状態監視方法

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020072465A1 (en) * 2000-06-26 2002-06-13 Nahas Nicholas C. Process for minimizing afterburn in a FCC regenerator
JP2010505036A (ja) * 2006-09-29 2010-02-18 フィッシャー−ローズマウント システムズ， インコーポレイテッド 異常状況の防止に使用される流動接触分解装置における触媒損失の検出
CN104789256A (zh) * 2015-03-26 2015-07-22 华东理工大学 一种催化裂化装置的收率实时预测方法
US20190108454A1 (en) * 2017-10-05 2019-04-11 Honeywell International Inc. Harnessing machine learning & data analytics for a real time predictive model for a fcc pre-treatment unit

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WO2006046737A1 (ja) * 2004-10-26 2006-05-04 Yokohama National University 多変数モデル解析システム、方法、プログラム、およびプログラム媒体
US20070216683A1 (en) * 2006-03-17 2007-09-20 Honeywell International Inc. Method and apparatus for displaying a third variable in a scatter plot
US20090095657A1 (en) * 2006-11-07 2009-04-16 Saudi Arabian Oil Company Automation and Control of Energy Efficient Fluid Catalytic Cracking Processes for Maximizing Value Added Products
US8896605B2 (en) * 2011-10-07 2014-11-25 Hewlett-Packard Development Company, L.P. Providing an ellipsoid having a characteristic based on local correlation of attributes
US9892238B2 (en) * 2013-06-07 2018-02-13 Scientific Design Company, Inc. System and method for monitoring a process
US9465387B2 (en) * 2015-01-09 2016-10-11 Hitachi Power Solutions Co., Ltd. Anomaly diagnosis system and anomaly diagnosis method
US10558933B2 (en) * 2016-03-30 2020-02-11 International Business Machines Corporation Merging feature subsets using graphical representation
US10222787B2 (en) * 2016-09-16 2019-03-05 Uop Llc Interactive petrochemical plant diagnostic system and method for chemical process model analysis
JP2018142097A (ja) * 2017-02-27 2018-09-13 キヤノン株式会社 情報処理装置、情報処理方法及びプログラム
US11593700B1 (en) * 2017-09-28 2023-02-28 Amazon Technologies, Inc. Network-accessible service for exploration of machine learning models and results
JP2019089907A (ja) 2017-11-13 2019-06-13 Ｊｘｔｇエネルギー株式会社 軽質オレフィンの製造方法
RU2767009C1 (ru) * 2018-02-15 2022-03-16 Тийода Корпорейшн Система поддержки установки условий работы завода, устройство обучения и устройство поддержки установки условий работы
US11574026B2 (en) * 2019-07-17 2023-02-07 Avanade Holdings Llc Analytics-driven recommendation engine
JP7248823B1 (ja) * 2021-06-09 2023-03-29 千代田化工建設株式会社 流体状態推定システム、学習装置、学習プログラム、推定装置、及び推定プログラム

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020072465A1 (en) * 2000-06-26 2002-06-13 Nahas Nicholas C. Process for minimizing afterburn in a FCC regenerator
JP2010505036A (ja) * 2006-09-29 2010-02-18 フィッシャー−ローズマウント システムズ， インコーポレイテッド 異常状況の防止に使用される流動接触分解装置における触媒損失の検出
CN104789256A (zh) * 2015-03-26 2015-07-22 华东理工大学 一种催化裂化装置的收率实时预测方法
US20190108454A1 (en) * 2017-10-05 2019-04-11 Honeywell International Inc. Harnessing machine learning & data analytics for a real time predictive model for a fcc pre-treatment unit

Also Published As

Publication number Publication date
MY203924A (en) 2024-07-24
KR20220047593A (ko) 2022-04-18
TW202202608A (zh) 2022-01-16
JP7301876B2 (ja) 2023-07-03
US20220220394A1 (en) 2022-07-14
WO2021245910A1 (ja) 2021-12-09

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