WO2023073336 - METHOD, MACHINE-READABLE MEDIUM AND CONTROL SYSTEM FOR CONTROL AT LEAST ONE HEATING, VENTILATION AND AIR CONDITIONING (HVAC) DEVICE

National phase entry is expected:
Publication Number WO/2023/073336
Publication Date 04.05.2023
International Application No. PCT/GB2022/051855
International Filing Date 18.07.2022
Title **
[English] METHOD, MACHINE-READABLE MEDIUM AND CONTROL SYSTEM FOR CONTROL AT LEAST ONE HEATING, VENTILATION AND AIR CONDITIONING (HVAC) DEVICE
[French] PROCÉDÉ, SUPPORT LISIBLE PAR MACHINE ET SYSTÈME DE COMMANDE PERMETTANT DE COMMANDER AU MOINS UN DISPOSITIF DE CHAUFFAGE, VENTILATION ET CLIMATISATION (CVCA)
Applicants **
ARLOID AUTOMATION LTD 71-75 Shelton Street, Covent Garden London Greater London WC2H 9JQ, GB
Inventors
SHALUNOV, Sergey 1 Waggon Road, Barnet London Greater London EN4 0HL, GB
ZUBOV, Maksim 1, M Floor, The Meydan Hotel, Nad Al Sheba Dubai, 9305, AE
BELIAEV, Aleksandr Sobstvennyi Prospect, 34-135 Saint-Petersburg, 198504, RU
PUSHMIN, Vladimir 80 Lorong M Telok Kurau, № 03-35 Singapore 425414, SG
Priority Data
PCT/RU2021/000472   29.10.2021   RU
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Quotation for National Phase entry

Country StagesTotal
China Filing1515
EPO Filing, Examination7293
Japan Filing591
South Korea Filing575
USA Filing, Examination3510
MasterCard Visa

Total: 13484

The term for entry into the National Phase has expired. This quotation is for informational purposes only

Abstract[English] There is a described method for control of at least one HVAC device comprising a neural network, the neural network being trained using the following approach: providing an input dataset; providing an environment associated with one or more HVAC devices; providing a baseline simulator arranged to simulate the operation of the HVAC devices based on the input dataset so as to obtain the value of a target metric; providing a learning system comprising the neural network; and training the neural network in dependence on the input dataset, the environment and the value of the target metric.[French] Est décrit un procédé de commande d'au moins un dispositif CVCA comprenant un réseau neuronal, le réseau neuronal étant formé au moyen de l'approche suivante : la fourniture d'un ensemble de données d'entrée ; la fourniture d'un environnement associé à un ou plusieurs dispositifs CVCA ; la fourniture d'un simulateur de ligne de base conçu pour simuler l'opération des dispositifs CVCA sur la base de l'ensemble de données d'entrée de manière à obtenir la valeur d'une métrique cible ; la fourniture d'un système d'apprentissage comprenant le réseau neuronal ; et la formation du réseau neuronal en fonction de l'ensemble de données d'entrée, de l'environnement et de la valeur de la métrique cible.
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