Smoke concentration quantification standard experiment box based on image recognition

Abstract

The invention provides a smoke concentration quantification standard experiment box based on image recognition. The interior of a closed box body is provided with a smoke rectification grid, the closed box body is divided into a smoke generation chamber and a measurement chamber, and the smoke rectification grid is provided with a plurality of rectification holes; the smoke generating chamber is used for placing a smoke bomb, so that the smoke generating chamber is filled with proper smoke concentration; a piston assembly is arranged in the measuring chamber and can do reciprocating motion between one side of the measuring chamber and the smoke rectifying grid, smoke with different concentrations is obtained in the measuring chamber, and continuous testing is achieved; the light source isa brightness-adjustable light source and is used for simulating different light conditions; the image acquisition unit is used for acquiring indoor smoke images of smoke generation under different light conditions and different smoke particle conditions. On the premise of controlling the smoke concentration, a series of experimental images are obtained, data preparation can be performed accordingto different characterization modes of the smoke concentration, and the simplest relation between image information and the smoke concentration can be explored.

Description

technical field [0001] The invention relates to the field of smoke concentration recognition, in particular to a smoke concentration quantification standard experiment box based on image recognition. Background technique [0002] The original meaning of smog is the mixture of soot in the air and natural fog. Now it generally refers to the mist generated by the condensation of solid dust emitted by industrial production, or the smog formed by the mixture of various pollutants such as secondary pollutants generated by the photochemical reaction of hydrocarbons and nitrogen oxides. With the rise of industry and the rapid development of urban construction, smog events can be seen everywhere. The original "London smog event" and "Los Angeles photochemical smog" are no longer special cases. [0003] The number of high-rise, underground buildings and large-scale comprehensive buildings in cities is increasing day by day, and the hidden dangers of fire are also greatly increasing. ...

AI Technical Summary

Problems solved by technology

[0008] In the actual application process, the following problems are mainly encountered: the laser emission power is too long or the wavelength is too small, the signal will be very weak; the laser emission source and the receiver are in point-to-point mode, and the angle between the receiving and emitting planes also affects the reception For signal information, the point-to-point mode is difficult to align, the accuracy is low, and it cannot work stably for a long time; when laser detection is often only set a threshold for the received signal, if it is greater than this value, there will be smoke, if it is less than or equal to this value, there will be no smoke, and it cannot be determined The size of the actual smoke concentration, the reliability is poor

[0011] However, the above-mentioned patent has the following disadvantages: in this patent, the fan is used to interfere with the smoke, but it is easy to cause the unevenness of the smoke; in addition, the patent does not consider the influence of different lighting conditions on the effect of smoke photos and grayscale images, which will seriously affect Test accuracy and affect the effect of final application in actual engineering

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