A Dynamic Smoke Detection Algorithm Based on Time Wheel

A detection algorithm and time wheel technology, which is applied in the direction of fire alarms that rely on the effect of smoke/gas, can solve the judgment of not participating in smoke detection and smoke alarm, unable to dynamically adjust detection parameters, missed detection and false detection, etc. To achieve the effect of shortening the alarm time, stable weight value, and reducing the missed detection rate and false detection rate

Active Publication Date: 2021-12-17
WUHAN TURBO TECH
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the prior art, the mode of single-chip microcomputer plus special smoke detection chip is mainly used. In this way, the special detection chip sends out the alarm signal in the form of level. During the operation, the detection parameters cannot be dynamically adjusted, and the sensitivity is fixed. In some environments, the probability of missed detection and false detection is high
[0003] The traditional single-chip microcomputer plus smoke detection chip solution is to burn various parameters of smoke detection into the chip through special programming software when leaving the factory. The single-chip microcomputer is only used as a communication function and does not participate in smoke detection and smoke alarm. The judgment cannot quickly adjust the algorithm judgment parameters according to the environment, effectively quantify the data information, and the detection mode is single

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 Dynamic Smoke Detection Algorithm Based on Time Wheel

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention is illustrated below in conjunction with the accompanying drawings. It should be pointed out that the photoelectric smoke alarm used in the embodiment of the present invention is a diffuse photoelectric smoke alarm, and the luminous voltage and the non-luminous voltage are millivolts (mv). As a unit to express the smoke concentration, in the actual application process, the actual smoke concentration can be obtained by converting the luminous voltage and the non-luminous voltage into millivolt units according to a constant constant. In order to facilitate the calculation of the algorithm, the present invention all uses millivolts as the smoke concentration unit .

[0029] As shown in the figure, the present invention designs a smoke detection algorithm based on a single-chip time wheel successive approximation, and the decision elements in the algorithm can be dynamically adjusted by the MCU to adapt to the sensitivity requirements of smoke alarms in...

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 dynamic smoke detection algorithm based on a time wheel, which successively includes three stages: detection stage, time wheel approaching successively and time wheel exiting; the first stage calculates the average value of non-luminous voltage m x , average value of luminous voltage m y And the compensation value Δm, the second stage of the time wheel approaching successively, change the weight of the time wheel, calculate the actual smoke concentration Δe, reach the alarm threshold alarm, enter the time wheel exit stage when it is less than the alarm threshold, and exit the time wheel in the third stage, calculate the exit weight, If the continuous volatility keeps the weights until the Δe trend is down entering the time round exit and the Δe trend is rising entering the successive approximation. The invention can use software to replace the smoke-specific detection chip, accurately determine the photoelectric value in the smoke optical maze, and then determine whether a smoke alarm occurs. The invention reduces the cost and improves the product communication expansion capability.

Description

technical field [0001] The invention belongs to the field of fire-fighting equipment, and relates to an operation technology of a photoelectric smoke alarm, in particular to a dynamic smoke detection algorithm based on a time wheel. Background technique [0002] In the prior art, the mode of single-chip microcomputer plus special smoke detection chip is mainly used. In this way, the special detection chip sends out the alarm signal in the form of level. During the operation, the detection parameters cannot be dynamically adjusted, and the sensitivity is fixed. In some environments, the probability of missed detection and false detection is high. [0003] The traditional single-chip microcomputer plus smoke detection chip solution is to burn various parameters of smoke detection into the chip through special programming software when leaving the factory. The single-chip microcomputer is only used as a communication function and does not participate in smoke detection and smok...

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 王西刚吴华意何辉汪志冰刘景顺
Owner WUHAN TURBO TECH
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
Try Eureka
PatSnap group products