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1. WO2020198254 - AUTOMATIC EXTRACTION OF ASSETS DATA FROM ENGINEERING DATA SOURCES FOR GENERATING AN HMI

Publication Number WO/2020/198254
Publication Date 01.10.2020
International Application No. PCT/US2020/024506
International Filing Date 24.03.2020
IPC
G05B 19/042 2006.01
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
19Programme-control systems
02electric
04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
042using digital processors
CPC
G05B 19/0426
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
19Programme-control systems
02electric
04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
042using digital processors
0426Programming the control sequence
G05B 23/0221
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
23Testing or monitoring of control systems or parts thereof
02Electric testing or monitoring
0205by means of a monitoring system capable of detecting and responding to faults
0218characterised by the fault detection method dealing with either existing or incipient faults
0221Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
Applicants
  • SCHNEIDER ELECTRIC SYSTEMS USA, INC. [US]/[US]
Inventors
  • SINHA, Bhaskar
  • BODANAPU, Padmaja
  • PATIL, Ashish
  • KONDEJKAR, Sameer
  • KRISHNAN, Rajkumar
Agents
  • NGUYEN, Daniel, G.
  • FILL, Peter
  • HWA, James
  • HOEL, John
Priority Data
62/823,37725.03.2019US
62/823,46925.03.2019US
62/842,92903.05.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) AUTOMATIC EXTRACTION OF ASSETS DATA FROM ENGINEERING DATA SOURCES FOR GENERATING AN HMI
(FR) EXTRACTION AUTOMATIQUE DE DONNÉES D'ACTIFS À PARTIR DE SOURCES DE DONNÉES D'INGÉNIERIE POUR LA GÉNÉRATION D'UNE IHM
Abstract
(EN)
Systems and methods for controlling industrial process automation and control systems can automatically, through the use of machine learning (ML) models and algorithms, extract plant assets from engineering diagrams and other plant engineering data sources. The systems and methods can establish asset relationships to create a plant asset registry and build an asset hierarchy from the plant assets. The systems and methods can generate an ontological knowledge base from the plant asset hierarchy, and provide an HMI for controlling the industrial process based on the plant asset hierarchy and the ontological knowledge base.
(FR)
La présente invention concerne des systèmes et des procédés pour commander des systèmes d'automatisation et de commande de processus industriels qui peuvent automatiquement, par l'utilisation de modèles et d'algorithmes d'apprentissage automatique (ML), extraire des actifs d'installation à partir de diagrammes d'ingénierie et d'autres sources de données d'ingénierie d'installation. Les systèmes et les procédés peuvent établir des relations d'actifs pour créer un registre d'actifs d'installation et construire une hiérarchie d'actifs à partir des actifs d'installation. Les systèmes et les procédés peuvent générer une base de connaissances ontologique à partir de la hiérarchie d'actifs d'installation et fournir une IHM pour commander le processus industriel sur la base de la hiérarchie d'actifs d'installation et de la base de connaissances ontologique.
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