Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A smoke alarm and its correction method

A smoke alarm and smoke alarm technology, which is applied to fire alarms that rely on smoke/gas effects, can solve the problems of smoke alarms that cannot be self-adapted, solve the problem of limited use environment, improve detection sensitivity and reliability sexual effect

Active Publication Date: 2021-11-16
GREE ELECTRIC APPLIANCES INC
View PDF18 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a smoke alarm and its correction method to solve the problem that the smoke alarm in the prior art cannot be adaptively adjusted under different external conditions

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A smoke alarm and its correction method
  • A smoke alarm and its correction method
  • A smoke alarm and its correction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] figure 1 is a flow chart of a method for correcting a smoke alarm according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0028] Step S101, after the self-learning mode is turned on, within the time period set by the self-learning mode, the air velocity and smoke concentration are obtained;

[0029] Step S102, determining the smoke alarm threshold according to the air velocity and the smoke concentration;

[0030] Step S103, replacing the initial alarm threshold of the smoke alarm with the smoke alarm threshold, so as to be used for the smoke alarm in the normal working mode.

[0031] In this embodiment, the influence of air flow on smoke concentration detection is reduced by actively collecting and analyzing the air. The smoke alarm threshold in different environments is automatically adjusted through the self-learning function, which improves the detection sensitivity and reliability, and solves the...

Embodiment 2

[0038] figure 2 is a structural schematic diagram of a smoke alarm according to an embodiment of the present invention, such as figure 2 As shown, the smoke alarm includes:

[0039] The air sampling module is used to collect the air in the workplace where the smoke alarm is located; specifically, the above air sampling module includes: a connected suction pump and a sampling pipeline, used to collect air in the workplace where the smoke alarm is located; Among them, the sampling pipeline is set in sections to locate the abnormal area when the smoke alarm alarms; the filter is used to filter the particulate matter in the air, and the filtered air is input into the smoke detection chamber, and the smoke detection chamber is used to analyze the air in the air. smoke concentration.

[0040] The airflow sensor is connected with the main control chip and is used to detect the airflow velocity.

[0041] The smoke sensor is connected with the main control chip to detect the smoke...

Embodiment 3

[0047] image 3 It is a flow chart of threshold setting of a smoke alarm according to an embodiment of the present invention, such as image 3 As shown, the process includes:

[0048] 1) Collect air velocity and smoke concentration in the air.

[0049] 2) Determine the initial alarm threshold according to the air velocity and smoke concentration.

[0050] Specifically, according to the smoke concentration and air flow rate, an initial alarm threshold is calculated according to the empirical threshold calculation method. Before the self-learning is completed, the threshold is temporarily used as the basis for the system's alarm.

[0051] 3) Set the self-learning mode and duration, and enable the self-learning function.

[0052] Specifically, the self-learning duration of the alarm can be set according to the installation site of the alarm, and the self-learning duration can be extended as much as possible according to the conditions, so that an alarm threshold closer to the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a smoke alarm and a correction method thereof. Wherein, the method includes: after the self-learning mode is turned on, within the time period set by the self-learning mode, acquiring the air flow rate and the smoke concentration; according to the air flow rate and the smoke concentration, determining the smoke alarm threshold; The smoke alarm threshold replaces the initial alarm threshold of the smoke alarm for the smoke alarm in normal operating mode. The invention reduces the influence of the air flow on the smoke concentration detection by actively collecting and analyzing the air. The smoke alarm threshold in different environments is automatically adjusted through the self-learning function, which improves the detection sensitivity and reliability, and solves the defect that the use environment of the smoke alarm is limited.

Description

technical field [0001] The invention relates to the technical field of smoke alarms, in particular to a smoke alarm and a correction method thereof. Background technique [0002] Smoke alarm is an alarm device that realizes fire prevention by monitoring smoke concentration. Traditional smoke alarms can only be detected by waiting for the smoke to drift into the detection range of the detector. For special places such as large space spans and high heights, the airflow is easy to stratify and spread laterally, and the smoke is usually diluted by the airflow. The smoke alarm didn't work. [0003] In addition, traditional smoke alarms have already set the threshold in advance. For different use environments, the normal standard of smoke concentration and the alarm threshold should be different. Using this type of smoke alarm will cause false alarms or delayed alarms. , so its use environment is greatly restricted. [0004] Aiming at the problem in the prior art that the smoke...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G08B17/10
CPCG08B17/10
Inventor 牟桂贤申伟刚王亦心刘文达裘文波
Owner GREE ELECTRIC APPLIANCES INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com