WO2025215512 - BUILDING SYSTEM WITH GENERATIVE ARTIFICIAL INTELLIGENCE POINT NAMING, CLASSIFICATION, AND MAPPING
National phase entry is expected:
Publication Number
WO/2025/215512
Publication Date
16.10.2025
International Application No.
PCT/IB2025/053665
International Filing Date
07.04.2025
Title **
[English]
BUILDING SYSTEM WITH GENERATIVE ARTIFICIAL INTELLIGENCE POINT NAMING, CLASSIFICATION, AND MAPPING
[French]
SYSTÈME DE BÂTIMENT AVEC NOMMAGE DE POINTS, CLASSIFICATION ET MAPPAGE PAR INTELLIGENCE ARTIFICIELLE GÉNÉRATIVE
Applicants **
TYCO FIRE & SECURITY GMBH
Inventors
SELVARAJ, Krishnamurthy
SHARMA, Vikas
SAINGAR, Risavsingh Virendrakumar
KHARDENAVIS, Abhishek Uday
Priority Data
202441028827
09.04.2024
IN
Application details
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International Searching Authority |
EPO
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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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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| Patent Delivery |
Send the Letters Patent by Courier
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| Translation |
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2331 | |
| EPO | Filing, Examination, Granting | 11287 | |
| Japan | Filing, Examination, Granting | 2315 | |
| South Korea | Filing, Examination, Granting | 2366 | |
| USA | Filing, Examination, Granting | 4740 |

Total:
23,039
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Abstract[English]
A method for a building automation system includes performing data augmentation of a point, equipment, and subtype (PES) dataset using generative artificial intelligence to generate an augmented PES dataset. The method includes fine-tuning at least one large language model (LLM) using the augmented PES dataset, discovering points on a building network for the building automation system, performing PES classification of the points using the at least one fine-tuned LLM, and operating equipment of the building automation system using the PES classification to affect a physical condition of a building.[French]
Un procédé pour un système immotique comprend la réalisation d'une augmentation de données d'un ensemble de données de point, d'équipement et de sous-type (PES) à l'aide d'une intelligence artificielle générative pour générer un ensemble de données PES augmenté. Le procédé comprend le réglage fin d'au moins un grand modèle de langage (LLM) à l'aide de l'ensemble de données PES augmenté, la découverte de points sur un réseau de bâtiment pour le système immotique, la réalisation d'une classification PES des points à l'aide du ou des LLM ayant fait l’objet du réglage fin, et l’exploitation d’un équipement du système immotique à l'aide de la classification PES pour affecter un état physique d'un bâtiment.