CN115315667A - 具有若干工厂的过程网络 - Google Patents

具有若干工厂的过程网络 Download PDF

Info

Publication number
CN115315667A
CN115315667A CN202180020094.7A CN202180020094A CN115315667A CN 115315667 A CN115315667 A CN 115315667A CN 202180020094 A CN202180020094 A CN 202180020094A CN 115315667 A CN115315667 A CN 115315667A
Authority
CN
China
Prior art keywords
physicochemical
process network
quantities
graph structure
equations
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202180020094.7A
Other languages
English (en)
Chinese (zh)
Inventor
R·帕克
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
BASF SE
Original Assignee
BASF SE
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by BASF SE filed Critical BASF SE
Publication of CN115315667A publication Critical patent/CN115315667A/zh
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Program-control systems
    • G05B19/02Program-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41885Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00Systems involving the use of models or simulators of said systems
    • G05B17/02Systems involving the use of models or simulators of said systems electric
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Program-control systems
    • G05B19/02Program-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4183Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Program-control systems
    • G05B19/02Program-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41865Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • General Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • General Factory Administration (AREA)
  • Physical Or Chemical Processes And Apparatus (AREA)
  • Cultivation Of Plants (AREA)
CN202180020094.7A 2020-02-07 2021-02-05 具有若干工厂的过程网络 Pending CN115315667A (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP20156232.9A EP3862832A1 (en) 2020-02-07 2020-02-07 Generating a representation of a process network comprising at least two interconnected chenical plants
EP20156232.9 2020-02-07
PCT/EP2021/052877 WO2021156484A2 (en) 2020-02-07 2021-02-05 Process network with several plants

Publications (1)

Publication Number Publication Date
CN115315667A true CN115315667A (zh) 2022-11-08

Family

ID=69528641

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202180020094.7A Pending CN115315667A (zh) 2020-02-07 2021-02-05 具有若干工厂的过程网络

Country Status (6)

Country Link
US (1) US20230053175A1 (https=)
EP (2) EP3862832A1 (https=)
JP (1) JP7695257B2 (https=)
KR (1) KR20220139920A (https=)
CN (1) CN115315667A (https=)
WO (1) WO2021156484A2 (https=)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA3206978A1 (en) * 2020-12-31 2022-07-07 Schneider Electric Systems Usa, Inc. Systems and methods for addressing gaps in an industrial operation due to operator variability
US12229706B2 (en) * 2021-06-10 2025-02-18 Samsung Display Co., Ltd. Systems and methods for concept intervals clustering for defect visibility regression
JP7770260B2 (ja) * 2022-06-17 2025-11-14 株式会社日立製作所 プラント管理装置及びプラント管理方法
EP4300878A1 (en) * 2022-06-29 2024-01-03 Basf Se Method and system for controlling access to data in an industrial plant or in a database associated to the industrial plant
EP4300879A1 (en) * 2022-06-29 2024-01-03 Basf Se Method and system for controlling access to data in an industrial plant or in a database associated to the industrial plant
EP4300881A1 (en) * 2022-06-29 2024-01-03 Basf Se Method and system for controlling access to data in an industrial plant or in a database associated to the industrial plant
WO2024003135A1 (en) * 2022-06-29 2024-01-04 Basf Se Method and system for controlling access to data in an industrial plant or in a database associated to the industrial plant
EP4521176A1 (en) 2023-09-05 2025-03-12 Basf Se A method and system for monitoring at least one chemical plant
EP4575683A1 (en) * 2023-12-20 2025-06-25 Basf Se Method for determining a predicted value of a target production parameter of an industrial plant site
WO2026073956A1 (en) * 2024-10-01 2026-04-09 Basf Se Target production network modeling and controlling a chemical production network

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60326A (ja) * 1983-06-15 1985-01-05 Mitsubishi Electric Corp プラント監視装置
US4766550A (en) * 1985-10-30 1988-08-23 Westinghouse Electric Corp. Automatic on-line chemistry monitoring system
US8044793B2 (en) * 2001-03-01 2011-10-25 Fisher-Rosemount Systems, Inc. Integrated device alerts in a process control system
EP1364263B1 (en) * 2001-03-01 2005-10-26 Fisher-Rosemount Systems, Inc. Data sharing in a process plant
US9607422B1 (en) * 2011-12-22 2017-03-28 Msc.Software Corporation Interactive vertex manipulation system and methods for geometry repair
AU2013200876A1 (en) * 2012-02-24 2013-09-12 Callum David Mcdonald Method of graph processing
US20140297230A1 (en) * 2013-03-26 2014-10-02 Siemens Product Lifecycle Management Software Inc. System and method for handling plant engineering data
US10437210B2 (en) * 2013-10-14 2019-10-08 Aveva Software, Llc Interactive feedback for variable equation specifications
CN105759773B (zh) * 2016-05-16 2018-08-21 石化盈科信息技术有限责任公司 基于面向对象分析的石化企业工厂模型扩展方法
EP3482261B1 (en) * 2016-07-07 2021-05-05 Aspen Technology Inc. Computer system and method for the dynamic construction and online deployment of an operation-centric first-principles process model for predictive analytics
US10891326B2 (en) * 2017-01-05 2021-01-12 International Business Machines Corporation Representation of a data analysis using a flow graph
US10642249B2 (en) * 2017-05-01 2020-05-05 Honeywell International Inc. Method and system for real-time damage prediction and quantification
US10755002B2 (en) * 2017-05-12 2020-08-25 Ge-Hitachi Nuclear Energy Americas Llc Method and apparatus for facilitating creation of simulation model
US10657675B2 (en) * 2018-03-06 2020-05-19 Google Llc Techniques for improved progressive mesh compression
US12067711B2 (en) * 2020-11-13 2024-08-20 Ecoation Innovative Solutions Inc. Data processing platform for analyzing stereo-spatio-temporal crop condition measurements to support plant growth and health optimization

Also Published As

Publication number Publication date
EP4100805A2 (en) 2022-12-14
WO2021156484A2 (en) 2021-08-12
KR20220139920A (ko) 2022-10-17
WO2021156484A3 (en) 2021-10-07
EP3862832A1 (en) 2021-08-11
JP7695257B2 (ja) 2025-06-18
US20230053175A1 (en) 2023-02-16
JP2023512806A (ja) 2023-03-29

Similar Documents

Publication Publication Date Title
JP7695257B2 (ja) 少なくとも2つの相互接続された化学プラントを備えるプロセスネットワークの表現の生成
Yuan et al. Smart manufacturing for the oil refining and petrochemical industry
JP2018152052A (ja) 信頼性監視のためのシステムおよび方法
Ofoedu et al. A root cause analytics model for diagnosing offshore process failures using live operational data
Paul et al. Sensor network design for maximizing process efficiency: an algorithm and its application
Sirola et al. Machine-Learning Methods in Prognosis of Ageing Phenomena in Nuclear Power Plant Components.
Granacher et al. Increasing superstructure optimization capacity through self-learning surrogate models
He et al. Causal network construction based on KICA-ECCM for root cause diagnosis of industrial processes
Bárkányi et al. Modelling for Digital Twins—Potential Role of Surrogate Models. Processes 2021, 9, 476
Wardana et al. Leads: A deep learning approach to revolutionizing gas plant maintenance with advanced anomaly detection technology
Tidriri et al. A bond graph modeling for health monitoring and diagnosis of the tennessee eastman process
Kwamura et al. Hazop support system and its use for operation
Cai et al. Review of synergy between machine learning and first principles models for asset integrity management
Zhu et al. A Cyber-Physical monitoring and diagnosis scheme of energy consumption in Plant-Wide chemical processes
Yin et al. Data-Driven Fault Diagnosis for Complex Industrial Processes
Lü et al. Integrated framework of probabilistic signed digraph based fault diagnosis approach to a gas fractionation unit
Fickelscherer Automated process fault analysis
US20260119745A1 (en) Support method, support device, support program, and method for constructing development support system
Kopbayev Fault detection and diagnosis using hybrid artificial neural network based method
Abdulaban Utilizing data fusion and machine learning in fault detection & diagnosis
Välikangas Real-time data quality monitoring and improvement in energy networks
Hossini Adaptive predictive maintenance strategies for smart buildings
Wang Data-driven Supply Chain Monitoring and Optimization
Zhu et al. Research on Causal Model Construction and Fault Diagnosis of Control Systems
Okeagu et al. A systematic review of digital twin systems for improved predictive maintenance of equipment in smart factories

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination