CA2313134A1 - Procede et systeme de surveillance et de commande d'un systeme de fabrication - Google Patents

Procede et systeme de surveillance et de commande d'un systeme de fabrication Download PDF

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Publication number
CA2313134A1
CA2313134A1 CA002313134A CA2313134A CA2313134A1 CA 2313134 A1 CA2313134 A1 CA 2313134A1 CA 002313134 A CA002313134 A CA 002313134A CA 2313134 A CA2313134 A CA 2313134A CA 2313134 A1 CA2313134 A1 CA 2313134A1
Authority
CA
Canada
Prior art keywords
performance data
model
neural network
real
performance
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.)
Abandoned
Application number
CA002313134A
Other languages
English (en)
Inventor
Joshua Brennan Ellinger
James D. Keeler
Edward S. Plumer
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.)
Rockwell Automation Pavilion Inc
Original Assignee
Individual
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 Individual filed Critical Individual
Publication of CA2313134A1 publication Critical patent/CA2313134A1/fr
Abandoned legal-status Critical Current

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Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-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
    • 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
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E20/00Combustion technologies with mitigation potential
    • Y02E20/14Combined heat and power generation [CHP]
    • 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)
  • General Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Feedback Control In General (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • General Factory Administration (AREA)

Abstract

La présente invention concerne une interface de modèles de réseau neuronal comportant des systèmes de commande répartis associés à une unité de production pour former une unité de production complète. Les modèles de réseau neuronal reçoivent des variables mesurées du processus de production afin de prédire les données de rendement du processus, et fournissent au serveur de communications des données de rendement sur une base de temps réel. Une interface graphique d'utilisateur communique via un réseau, tel qu'Internet ou un Intranet de société, pour recevoir les données de rendement en temps réel, notamment les mesures de rendement tels que les analyseurs de rendement clés en temps réel, et les présenter aux gestionnaires qui prennent les décisions en fonction du processus de production. Le serveur de communication est également relié à un moteur de modèles indépendant afin de transférer les données de rendement en temps réel et les données de modèles de réseau neural qui seront analysées dans le moteur indépendant. Une boîte orienté objet transforme la publication et l'abonnement des données de rendement provenant des modèles de réseau neuronal.
CA002313134A 1998-10-06 1999-10-06 Procede et systeme de surveillance et de commande d'un systeme de fabrication Abandoned CA2313134A1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US16706398A 1998-10-06 1998-10-06
US09/167,063 1998-10-06
PCT/US1999/023379 WO2000020939A1 (fr) 1998-10-06 1999-10-06 Procede et systeme de surveillance et de commande d'un systeme de fabrication

Publications (1)

Publication Number Publication Date
CA2313134A1 true CA2313134A1 (fr) 2000-04-13

Family

ID=22605782

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002313134A Abandoned CA2313134A1 (fr) 1998-10-06 1999-10-06 Procede et systeme de surveillance et de commande d'un systeme de fabrication

Country Status (5)

Country Link
EP (1) EP1042706A1 (fr)
JP (1) JP2002526852A (fr)
AU (1) AU6294999A (fr)
CA (1) CA2313134A1 (fr)
WO (1) WO2000020939A1 (fr)

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FR2808909B1 (fr) * 2000-05-11 2005-06-03 Jean Marie Billiotte Procede de simulation stochastique centralisee et teletransmission de scenarios probables pour l'optimisation probabiliste des parametres de systemes industriels distants
DE50009037D1 (de) * 2000-07-27 2005-01-27 Abb Research Ltd Verfahren und Computerprogramm zum Herstellen einer Regelung oder Steuerung
US7117161B2 (en) * 2000-08-21 2006-10-03 Bruce Elisa M Decision dynamics
DE10119853A1 (de) * 2001-04-24 2003-01-09 Bayer Ag Hybridmodell und Verfahren zur Bestimmung von mechanischen Eigenschaften und von Verarbeitungseigenschaften eines Spritzgiessformteils
US7357298B2 (en) 2001-12-28 2008-04-15 Kimberly-Clark Worldwide, Inc. Integrating event-based production information with financial and purchasing systems in product manufacturing
US7032816B2 (en) 2001-12-28 2006-04-25 Kimberly-Clark Worldwide, Inc. Communication between machines and feed-forward control in event-based product manufacturing
US7035877B2 (en) 2001-12-28 2006-04-25 Kimberly-Clark Worldwide, Inc. Quality management and intelligent manufacturing with labels and smart tags in event-based product manufacturing
US7380213B2 (en) 2001-12-28 2008-05-27 Kimberly-Clark Worldwide, Inc. User interface for reporting event-based production information in product manufacturing
US8799113B2 (en) 2001-12-28 2014-08-05 Binforma Group Limited Liability Company Quality management by validating a bill of materials in event-based product manufacturing
US6968250B2 (en) 2001-12-28 2005-11-22 Kimberly-Clark Worldwide, Inc. Intelligent agent system and method for evaluating data integrity in process information databases
IL164428A0 (en) * 2002-01-15 2005-12-18 Thierry Cresson Computer-implemented system and method for measuring and improving manufacturing processes and maximizing product research and development speed and efficiency
US7137019B2 (en) 2003-04-30 2006-11-14 International Business Machines Corporation Adaptive throttling system for data processing systems
WO2005015476A2 (fr) * 2003-08-07 2005-02-17 Hsb Solomon Associates, Llc Systeme et procede pour determiner des coefficients d'equivalence a utiliser en analyse de performance comparative d'installations industrielles
US8145748B2 (en) 2004-12-13 2012-03-27 American Power Conversion Corporation Remote monitoring system
GB2449518B (en) * 2007-03-08 2011-08-03 American Power Conv Corp Remote monitoring system
US8965539B2 (en) 2008-09-27 2015-02-24 Jda Software Group, Inc. System and method for a demand driven lean production control system
US8989879B2 (en) * 2008-09-27 2015-03-24 Jda Software Group, Inc. System and method for a demand driven lean production control system
US9529348B2 (en) 2012-01-24 2016-12-27 Emerson Process Management Power & Water Solutions, Inc. Method and apparatus for deploying industrial plant simulators using cloud computing technologies
US10386827B2 (en) * 2013-03-04 2019-08-20 Fisher-Rosemount Systems, Inc. Distributed industrial performance monitoring and analytics platform
EP3482261B1 (fr) * 2016-07-07 2021-05-05 Aspen Technology Inc. Système et procédé informatique servant à la construction dynamique et au déploiement en ligne d'un modèle de processus de premier principe centré sur le fonctionnement servant à une analyse prédictive
US10643167B2 (en) * 2016-07-28 2020-05-05 Honeywell International Inc. MPC with unconstrained dependent variables for KPI performance analysis
US20180356811A1 (en) 2017-06-12 2018-12-13 Honeywell International Inc. Apparatus and method for automated identification and diagnosis of constraint violations
JP7460657B2 (ja) 2019-05-09 2024-04-02 アスペンテック・コーポレーション 機械学習を専門知識及び第一原理と組み合わせて行うプロセス産業のモデリング
WO2020255173A2 (fr) * 2019-06-20 2020-12-24 Tata Consultancy Services Limited Procédé et système permettant d'optimiser le fonctionnement d'une turbine à gaz à cycle combiné
US11782401B2 (en) 2019-08-02 2023-10-10 Aspentech Corporation Apparatus and methods to build deep learning controller using non-invasive closed loop exploration
WO2021076760A1 (fr) 2019-10-18 2021-04-22 Aspen Technology, Inc. Système et procédés de développement de modèle automatisé à partir de données historiques de plante pour une commande de processus avancé
WO2022098929A1 (fr) * 2020-11-06 2022-05-12 Energy Internet Corporation Commande et configuration de machines définies par logiciel
US11630446B2 (en) 2021-02-16 2023-04-18 Aspentech Corporation Reluctant first principles models

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2157198A1 (fr) * 1993-03-02 1994-09-15 James David Keeler Methode et appareil pour analyser un reseau neuronal avec des contraintes sur les parametres de fonctionnement
US5408406A (en) * 1993-10-07 1995-04-18 Honeywell Inc. Neural net based disturbance predictor for model predictive control
US5692107A (en) * 1994-03-15 1997-11-25 Lockheed Missiles & Space Company, Inc. Method for generating predictive models in a computer system
US5659667A (en) * 1995-01-17 1997-08-19 The Regents Of The University Of California Office Of Technology Transfer Adaptive model predictive process control using neural networks
TWI249760B (en) * 1996-07-31 2006-02-21 Canon Kk Remote maintenance system
US5859964A (en) * 1996-10-25 1999-01-12 Advanced Micro Devices, Inc. System and method for performing real time data acquisition, process modeling and fault detection of wafer fabrication processes

Also Published As

Publication number Publication date
WO2000020939A9 (fr) 2000-08-24
AU6294999A (en) 2000-04-26
WO2000020939A1 (fr) 2000-04-13
JP2002526852A (ja) 2002-08-20
EP1042706A1 (fr) 2000-10-11

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