WO2023155113 - COMPUTER-IMPLEMENTED BUILDING MODELING METHOD AND SYSTEM
National phase entry is expected:
Publication Number
WO/2023/155113
Publication Date
24.08.2023
International Application No.
PCT/CN2022/076713
International Filing Date
18.02.2022
Title **
[English]
COMPUTER-IMPLEMENTED BUILDING MODELING METHOD AND SYSTEM
[French]
PROCÉDÉ ET SYSTÈME DE MODÉLISATION DE BÂTIMENT MIS EN ŒUVRE PAR ORDINATEUR
Applicants **
HUAWEI TECHNOLOGIES CO.,LTD.
Huawei Administration Building, Bantian,Longgang District
Shenzhen, Guangdong 518129, CN
Inventors
MORALES ESPINOZA, Carlos Emanuel
8th Floor, Shinagawa Grand Central Tower, 2-16-4, Konan
Minato-ku, Tokyo 108-0075, JP
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
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| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
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International Searching Authority |
CNIPA
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| Applicant's Legal Status |
Legal Entity
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| Entry into National Phase under |
Chapter I
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| Translation |
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Recalculate
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing | 1966 | |
| EPO | Filing, Examination | 16416 | |
| Japan | Filing | 591 | |
| South Korea | Filing | 482 | |
| USA | Filing, Examination | 7310 |
Total: 26765 USD
The term for entry into the National Phase has expired. This quotation is for informational purposes only
Abstract[English]
A learning method of modeling a building performed by a processor includes: receiving raw scan data of a target building; training a neural network; computing a generated full BIM model of the target building; computing supplementary information based on the received raw scan data and the generated full BIM model; presenting the generated full BIM model and the supplementary information to a user to allow the user to modify at least one of the received raw scan data of the target building and the generated full BIM model; and updating the database for a subsequent ineration of the training of the neural network.[French]
L'invention concerne un procédé d'apprentissage de modélisation d'un bâtiment réalisé par un processeur qui consiste à : recevoir des données de balayage brutes d'un bâtiment cible ; entraîner un réseau neuronal ; calculer un modèle BIM complet généré du bâtiment cible ; calculer des informations supplémentaires sur la base des données de balayage brutes reçues et du modèle BIM complet généré ; présenter le modèle BIM complet généré et les informations supplémentaires à un utilisateur pour permettre à l'utilisateur de modifier les données de balayage brutes reçues du bâtiment cible et/ou le modèle BIM complet généré ; et mettre à jour la base de données pour une itération ultérieure de l'entraînement du réseau neuronal.