IP Library Granted Patent US 11,361,121
Granted Patent B2
US 11,361,121 · App. 16/632,507 · Granted Jun 14, 2022

Implementation of fiber high-sensitivity smoke detector system utilizing a building information model

Inventors: Michael J. Birnkrant (Wethersfield, CT); Jie Xi (Shanghai, CN)
Assignee: CARRIER CORPORATION
G06F30/13G06F30/18G08B17/107
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 11,361,121
App. No.
16/632,507
Granted
Jun 14, 2022
Kind
B2
Abstract

A method of optimizing the layout of a smoke detection system in a space includes obtaining requirements for the smoke detection system, accessing a digital representation of physical and functional characteristics of the space, integrating the requirements and the digital representation of physical and functional characteristics of the space in a fiber deployment algorithm, determining a layout of smoke detection system components based on the fiber deployment algorithm, and installing the smoke detection system in the space according to the determined layout.

Claims (25)

1. A method of optimizing the layout of a smoke detection system in a space, comprising:

obtaining requirements for the smoke detection system;

accessing a digital representation of physical and functional characteristics of the space;

integrating the requirements and the digital representation of physical and functional characteristics of the space in a fiber deployment algorithm;

determining a layout of smoke detection system components based on the fiber deployment algorithm; and

installing the smoke detection system in the space according to the determined layout;

wherein the fiber deployment algorithm utilizes variables including one or more of, node polish angle and direction, expected lighting in the space, and a smoke propagation simulation as variables in determining the determined layout.

2. The method of claim 1 , further comprising defining a visual representation of the determined layout via the fiber deployment algorithm.

3. The method of claim 1 , wherein the smoke detection system is a fiber optic high-sensitivity smoke detection (HSSD) system.

4. The method of claim 1 , wherein the fiber deployment algorithm performs a linear regression to determine the determined layout.

5. The method of claim 1 , wherein the fiber deployment algorithm includes one or more of a simulated annealing algorithm, a genetic algorithm or a Monte Carlo algorithm.

6. The method of claim 1 , wherein the requirements include one or more of a smoke detection system cost, smoke detection performance targets, and identification of critical portions, structure or systems of the space.

7. The method of claim 1 , wherein the digital representation of physical and functional characteristics is a building information model.

8. A smoke detector system, comprising a plurality of smoke detector system components installed in a space, wherein a layout of the smoke detector system components in the space is determined via a determining system configured to:

obtain requirements for the smoke detector system;

access a digital representation of physical and functional characteristics of the space;

integrate the requirements and the digital representation of physical and functional characteristics of the space into a fiber deployment algorithm; and

determine the layout of the smoke detector system components based on the fiber deployment algorithm;

wherein the fiber deployment algorithm utilizes variables including one or more of, node polish angle and direction, expected lighting in the space, and a smoke propagation simulation as variables in determining the determined layout.

9. The smoke detector system of claim 8 , wherein the determining system is further configured to define a visual representation of the layout via the fiber deployment algorithm.

10. The smoke detector system of claim 8 , wherein the smoke detector system is a fiber optic high-sensitivity smoke detection (HSSD) system.

11. The smoke detector system of claim 8 , wherein the fiber deployment algorithm performs a linear regression to determine the layout.

12. The smoke detector system of claim 8 , wherein the fiber deployment algorithm includes one or more of a simulated annealing algorithm, a genetic algorithm or a Monte Carlo algorithm.

13. The smoke detector system of claim 8 , wherein the requirements include one or more of a smoke detector system cost, smoke detection performance targets, and identification of critical portions, structure or systems of the space.

14. The smoke detector system of claim 8 , wherein the digital representation of physical and functional characteristics is a building information model.

Assignments (1)
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 072831/0001 →
Priority Claims (1)
CN 201710594705.4 · Jul 20, 2017 · national
Continuity (1)
Related Publication 20210165925A1 · Jun 3, 2021
Cited By (1)
US 12,253,457