IP Library Granted Patent US 12,592,135
Granted Patent B2
US 12,592,135 · App. 18/481,747 · Granted Mar 31, 2026

System, device, and method for smoke discrimination and identification of fire source

Inventors: Raul Perez (Esplugues de Llobregat, ES); Inigo Barrera (Hospitalet de Llobregat, ES); Ricard Burriel (Barcelona, ES); Jose Manuel Munuera (Ripollet, ES); Joan Radua (Barcelona, ES)
Assignee: KIDDE FIRE PROTECTION, LLC
G08B17/10G01N33/0065G01N33/0067G06F16/90335G08B17/117G08B21/14G08B29/183G01N33/0068
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,592,135
App. No.
18/481,747
Granted
Mar 31, 2026
Kind
B2
Abstract

A system for smoke/fire discrimination and identification of the fire source is provided. The system comprises a control unit that is configured to receive data pertaining to gases present in the smoke generated by a burning material and receive data pertaining to temporal characteristics of fire caused by the burning material. The control unit identifies the burning material based on the data pertaining to the one or more gas and the data pertaining to temporal characteristics of fire; and trigger a fire event based on the identified burning material. The control unit identifies and classifies the burning material as one of the known burning materials based on matching of the detected gas and the captured temporal characteristics with the database.

Claims (58)

1 . A system for smoke discrimination and identification of fire source, the system comprising:

a control unit comprising a processor operatively coupled to a memory storing instructions executable by the processor, the control unit configured to:

receive data pertaining to one or more gas present in smoke generated by a burning material;

receive data pertaining to temporal characteristics of fire caused by the burning material;

match the one or more detected gas with a database comprising a set of known gases associated with smoke generated by a plurality of known burning materials;

match the captured temporal characteristics with the database comprising a set of known temporal characteristics associated with fire caused by the plurality of known burning materials;

identify and classify the burning material as one of the known burning materials based on the matching of the one or more detected gas and the captured temporal characteristics with the database;

match the identified burning material with the database comprising a set of known safe burning materials and a set of known unsafe burning materials; and

discriminate the identified burning material into any of a safe category and an alarming category based on the matching; and

trigger a fire event based on the identified burning material.

2 . The system of claim 1 , wherein the control unit is configured to identify the burning material using a temporal model of a machine learning system, wherein the temporal model is configured to determine the burning material based on the temporal characteristics of fire.

3 . The system of claim 1 , wherein the control unit is configured to discriminate the identified unsafe burning material into any of an organic fire source material, a liquid fire source material, and a synthetic fire source material, based on the matching.

4 . The system of claim 1 , wherein the system comprises:

one or more first sensor in communication with the control unit and configured to detect the one or more gas present in the smoke generated by the burning material; and

one or more second sensor in communication with the control unit and configured to capture the temporal characteristics of fire caused by the burning material.

5 . The system of claim 1 , wherein the system comprises a multi-type wave sensor in communication with the control unit and configured to capture multi-dimensional and temporal characteristics of the fire and smoke caused by the burning material.

6 . The system of claim 5 , wherein the control unit is configured to:

match the captured multi-dimensional and temporal characteristics of the fire and smoke with the database comprising a set of known multi-dimensional and temporal characteristics associated with smoke and fire caused by the plurality of known burning materials;

identify and classify the burning material as one of the known burning materials based on the matching.

7 . The system of claim 4 , wherein the one or more first sensor comprises one or more gas sensors, and

wherein the one or more second sensor comprises one or more of photodiode, and temperature sensor.

8 . A device for smoke discrimination and identification of fire source, the device comprising:

one or more first sensor operable to detect one or more gas present in smoke generated by a burning material;

one or more second sensor operable to capture temporal characteristics of fire caused by the burning material; and

a control unit operatively coupled to the one or more first sensor and the one or more second sensors, the control unit comprising a processor coupled to a memory storing instructions executable by the processor and configured to:

receive data pertaining to the one or more detected gas;

receive data pertaining to the captured temporal characteristics;

match the one or more detected gas with a database comprising a set of known gases associated with smoke caused by a plurality of known burning materials;

match the captured temporal characteristics with the database comprising a set of known temporal characteristics associated with fire caused by the plurality of known burning materials;

identify and classify the burning material as one of the known burning materials based on the matching of the one or more detected gas and the captured temporal characteristics with the database;

match the identified burning material with the database comprising a set of known safe burning materials and a set of known unsafe burning materials, and

discriminate the identified burning material as any of a safe category and an alarming category based on the matching; and

trigger a fire event based on the identified burning material.

9 . The device of claim 8 , wherein the device comprises an alarm unit operatively coupled to the control unit, wherein the control unit is configured to actuate the alarm unit when the burning material is identified to be in the alarming category.

10 . The device of claim 8 , wherein the device comprises a multi-type wave sensor operatively coupled to the control unit and configured to capture multi-dimensional and temporal characteristics of the fire and smoke caused by the burning material;

wherein the control unit is configured to:

match the captured multi-dimensional and temporal characteristics of the fire and smoke with the database comprising a set of known multi-dimensional and temporal characteristics associated with smoke and fire caused by the plurality of known burning materials; and

identify and classify the burning material as one of the known burning materials based on the matching.

11 . The device of claim 8 ,

wherein the device is adapted to be configured within an aspirating fire detection device that is adapted to:

receive the smoke present at an area of interest (AOI); and

facilitate flow of the received smoke through the device to allow the identification and discrimination of the smoke and the corresponding burning material.

12 . The device of claim 8 , wherein the device is adapted to be installed at predefined positions at an AOI and configured to identify and discriminate the smoke and the corresponding burning material present at the AOI.

13 . A method for smoke discrimination and identification of fire source, the method comprising:

capturing data pertaining to one or more gas present in smoke caused by a burning material;

capturing data pertaining to temporal characteristics of fire caused by the burning material;

matching the one or more detected gas with a database comprising a set of known gases associated with smoke caused by a plurality of known burning materials;

matching the captured temporal characteristics with the database comprising a set of known temporal characteristics associated with fire caused by the plurality of known burning materials;

identifying and classifying the burning material as one of the known burning materials based on matching of the one or more detected gas and the captured temporal characteristics with the database;

matching the identified burning material with the database comprising a set of known safe burning materials and a set of known unsafe burning materials, and discriminating the identified burning material into any of the safe category and the alarming category based on the matching; and

triggering a fire event based on the identified burning material.

14 . The method of claim 13 , wherein the method comprises generating an alarm signal when the burning material is identified to be in the alarming category.

15 . The method of claim 13 , wherein the method comprises generating an alarm signal when a concentration of the one or more detected gas exceeds a first threshold value, and/or a level of the captured temporal characteristics exceeds a second threshold value.

16 . The method of claim 13 , wherein the method comprises discriminating the identified unsafe burning material into any of an organic fire source material, a liquid fire source material, and a synthetic fire source material.

17 . The method of claim 13 , wherein the method comprises:

capturing multi-dimensional and temporal characteristics of the fire and smoke caused by the burning material; and

comparing the captured multi-dimensional and temporal characteristics with the database comprising a set of known multi-dimensional and temporal characteristics associated with fire caused by the plurality of known burning materials; and

identifying and classifying the burning material as one of the known burning materials based on the matching.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 10, 2025
From: CARRIER CORPORATION; CARRIER GLOBAL CORPORATION; CARRIER FIRE & SECURITY EMEA; CARRIER FIRE & SECURITY, LLC; CARRIER CANADA CORPORATION; CLIMATE, CONTROLS & SECURITY ARGENTINA S.A.; KIDDE IP HOLDINGS , INC.; KIDDE LTD.; KIDDE PRODUCTS LTD.; CARRIER TRANSICOLD AUSTRIA GMBH; CARRIER TRANSICOLD FRANCE SCS
To: KIDDE FIRE PROTECTION, LLC
Reel/Frame 072830/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 13, 2025
From: PEREZ, RAUL; BARRERA, IÑIGO; BURRIEL, RICARD; MANUEL MUNUERA, JOSE; FUSTER, JOAN; CARRIER FIRE & SECURITY ESPANA SL
To: CARRIER CORPORATION
Reel/Frame 072003/0501 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 13, 2025
From: CARRIER CORPORATION; CARRIER GLOBAL CORPORATION; CARRIER FIRE & SECURITY EMEA; CARRIER FIRE & SECURITY, LLC; CARRIER CANADA CORPORATION; CLIMATE, CONTROLS & SECURITY ARGENTINA S.A.; KIDDE IP HOLDINGS , INC.; KIDDE LTD.; KIDDE PRODUCTS LTD.; CARRIER TRANSICOLD AUSTRIA GMBH; CARRIER TRANSICOLD FRANCE SCS
To: KIDDE FIRE PROTECTION, LLC
Reel/Frame 072413/0196 →
Continuity (1)
Related Publication 20240119818A1 · Apr 11, 2024
References Cited (39)
US 5592147A · Wong · 1997 [cited by examiner]
US 6111512A · Sugimoto et al. · 2000 [cited by applicant]
US 6184792B1 · Privalov et al. · 2001 [cited by applicant]
US 6937743B2 · Rizzotti et al. · 2005 [cited by applicant]
US 6985081B2 · Wagner · 2006 [cited by examiner]
US 7286704B2 · Pfefferseder et al. · 2007 [cited by applicant]
US 7680297B2 · Privalov · 2010 [cited by applicant]
US 7701362B2 · Philiben · 2010 [cited by applicant]
US 7710280B2 · McLellan · 2010 [cited by applicant]
US 7872584B2 · Chen · 2011 [cited by applicant]
US 7934412B2 · Prince · 2011 [cited by applicant]
US 8240215B2 · Holt et al. · 2012 [cited by applicant]
US 8462980B2 · Caballero et al. · 2013 [cited by applicant]
US 8587442B2 · Loepfe et al. · 2013 [cited by applicant]
US 9905116B2 · Gruber et al. · 2018 [cited by applicant]
US 9928709B2 · Takasu et al. · 2018 [cited by applicant]
US 9997038B2 · Peters et al. · 2018 [cited by applicant]
US 10712263B2 · Erdtmann · 2020 [cited by applicant]
US 11195010B2 · Lapczynski et al. · 2021 [cited by applicant]
US 11232690B2 · Shepard · 2022 [cited by examiner]
US 11340097B1 · Deutsch · 2022 [cited by examiner]
US 11935390B2 · Munuera · 2024 [cited by examiner]
US 20150185194A1 · Prince et al. · 2015 [cited by applicant]
US 20170169683A1 · Ryder · 2017 [cited by examiner]
US 20200064248A1 · Houck · 2020 [cited by examiner]
US 20220157154A1 · Munuera · 2022 [cited by applicant]
US 20220189272A1 · Hou et al. · 2022 [cited by applicant]
CN 111553403A · 2020 [cited by applicant]
CN 111914606A · 2020 [cited by applicant]
CN 113963301A · 2022 [cited by applicant]
CN 111462451B · 2022 [cited by applicant]
EP 1687784B1 · 2009 [cited by applicant]
EP 1330800B1 · 2012 [cited by applicant]
EP 2571001B1 · 2017 [cited by applicant]
EP 3347883B1 · 2020 [cited by applicant]
EP 3948201B1 · 2025 [cited by applicant]
WO 2010088049A1 · 2010 [cited by applicant]
WO 2021115728A1 · 2021 [cited by applicant]
European Search Report for Application No. 22382964.9, Issued Mar. 30, 2023, 16 Pages. [cited by applicant]