Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Intelligent flame detection method and device, detector and storage medium

A flame detector and flame detection technology, which is applied in the field of flame detection, can solve problems such as easy false alarms and weak anti-interference ability, and achieve the effects of prolonging life, suppressing false alarms, and eliminating background noise interference

Active Publication Date: 2020-05-05
广州思瑞智能科技有限公司
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The currently widely used flame detectors include temperature detectors (glass balls or hot-melt metals), smoke detectors and point-type flame detectors. Smaller occasions; point-type flame detectors are generally suitable for tall spaces and dusty environments. There are two types of infrared flame detectors and ultraviolet flame detectors, and there are obvious shortcomings at the same time: weak anti-interference ability Setting or grading selection, flame detectors are usually installed on the top of the building space, the sensitivity of the detector is preset before installation, after installation and put into use, it often occurs when the application environment changes or the preset detector sensitivity is not suitable , it is difficult for people to approach the detector to adjust its detection sensitivity, which is likely to cause false alarms

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
  • Intelligent flame detection method and device, detector and storage medium
  • Intelligent flame detection method and device, detector and storage medium
  • Intelligent flame detection method and device, detector and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] Such as figure 1 As shown, the present embodiment provides an intelligent flame detector, which includes an infrared sensor 101, an ultraviolet sensor 102, a photosensitive sensor 103, an excitation and signal processing circuit 104, and a remote terminal 105, the infrared sensor 101, the ultraviolet sensor 102, The photosensitive sensors 103 are respectively connected with the excitation and signal processing circuit 104, and the excitation and signal processing circuit 104 is connected with the remote terminal 105 through the remote communication interface.

[0063] The infrared sensor 101 is used to detect flames, and can acquire infrared signals of specific wavelengths released by flames.

[0064] The ultraviolet sensor 102 is used to detect flames, and can acquire ultraviolet signals of specific wavelengths released by flames.

[0065] The visible light spectrum contains abundant infrared and ultraviolet signals to form environmental background noise signals, and ...

Embodiment 2

[0108] Such as Figure 5 As shown, this embodiment provides an intelligent flame detection device, which includes a first signal acquisition module 501, a first calculation module 502, a first feature value acquisition module 503, a background noise processing module 504 and an output module 505, each The specific functions of the module are as follows:

[0109] The first signal acquisition module 501 is used to acquire the infrared dynamic signal and the ultraviolet dynamic signal at a sampling time of a certain period, and perform quantization respectively to obtain the quantized value of the infrared dynamic signal and the quantized value of the ultraviolet dynamic signal.

[0110] The first calculation module 502 calculates the average strength of the dynamic signal and the discreteness of the dynamic signal in the mt time window according to the quantized value of the infrared dynamic signal and the quantized value of the ultraviolet dynamic signal, and counts the discret...

Embodiment 3

[0124] This embodiment provides a storage medium, which is a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the intelligent flame detection method of the above-mentioned embodiment 1 is realized, as follows:

[0125] Obtain the infrared dynamic signal and the ultraviolet dynamic signal, quantify them respectively, and obtain the quantized value of the infrared dynamic signal and the quantized value of the ultraviolet dynamic signal;

[0126] According to the quantized value of the infrared dynamic signal and the quantized value of the ultraviolet dynamic signal, calculate the average strength of the dynamic signal and the discreteness of the dynamic signal in the mt time window, and count the discreteness; among them, m is the coefficient of the rolling time window, and t is the time period of a certain period sampling time;

[0127] According to the average strength of the dynamic signal and the discret...

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 an intelligent flame detection method and device, a detector and a storage medium. The method comprises the steps: obtaining an infrared dynamic signal and an ultraviolet dynamic signal in a certain period of sampling time, and carrying out the quantification of the infrared dynamic signal and the ultraviolet dynamic signal, and obtaining an infrared dynamic signal quantification value and an ultraviolet dynamic signal quantification value; calculating dynamic signal average intensity and dynamic signal discreteness in the mt time window according to the infrared dynamic signal quantification value and the ultraviolet dynamic signal quantification value, and counting discreteness count; obtaining a dynamic signal characteristic value according to the dynamic signalaverage intensity and the dynamic signal discreteness in the mt time window; and if the discreteness count is greater than or equal to the effective count threshold and the difference between the dynamic signal characteristic value and the background noise signal characteristic value is greater than or equal to the identification signal characteristic value threshold, identifying the flame and outputting a flame alarm signal. Background noise interference can be eliminated in a self-adaptive manner, false alarm is prevented, and the reliability of flame detection alarm is improved.

Description

technical field [0001] The invention relates to an intelligent flame detection method, device, detector and storage medium, belonging to the technical field of flame detection. Background technique [0002] The currently widely used flame detectors include temperature detectors (glass balls or hot-melt metals), smoke detectors and point-type flame detectors. Smaller occasions; point-type flame detectors are generally suitable for tall spaces and dusty environments. There are two types of infrared flame detectors and ultraviolet flame detectors, and there are obvious shortcomings at the same time: weak anti-interference ability Setting or grading selection, flame detectors are usually installed on the top of the building space, the sensitivity of the detector is preset before installation, after installation and put into use, it often occurs when the application environment changes or the preset detector sensitivity is not suitable , it is difficult for people to approach th...

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 Applications(China)
IPC IPC(8): G08B17/12
CPCG08B17/12
Inventor 陈志谦彭灿唐志文
Owner 广州思瑞智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products