JP7301876B2 - 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 - Google Patents
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 Download PDFInfo
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- JP7301876B2 JP7301876B2 JP2020556995A JP2020556995A JP7301876B2 JP 7301876 B2 JP7301876 B2 JP 7301876B2 JP 2020556995 A JP2020556995 A JP 2020556995A JP 2020556995 A JP2020556995 A JP 2020556995A JP 7301876 B2 JP7301876 B2 JP 7301876B2
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- 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
-
- 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
-
- 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
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- 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)
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 JPWO2021245910A1 (https=) | 2021-12-09 |
| JP7301876B2 true 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)
| 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)
| 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 |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
-
2020
- 2020-06-05 WO PCT/JP2020/022274 patent/WO2021245910A1/ja not_active Ceased
- 2020-06-05 KR KR1020227007991A patent/KR20220047593A/ko active Pending
- 2020-06-05 JP JP2020556995A patent/JP7301876B2/ja active Active
- 2020-06-05 MY MYPI2022001318A patent/MY203924A/en unknown
-
2021
- 2021-05-12 TW TW110117016A patent/TW202202608A/zh unknown
-
2022
- 2022-03-31 US US17/710,239 patent/US20220220394A1/en active Pending
Patent Citations (4)
| 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 |
| JPWO2021245910A1 (https=) | 2021-12-09 |
| KR20220047593A (ko) | 2022-04-18 |
| TW202202608A (zh) | 2022-01-16 |
| US20220220394A1 (en) | 2022-07-14 |
| WO2021245910A1 (ja) | 2021-12-09 |
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