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Method and device for in-situ real-time detection of filter characteristic of mask filter material on particles with different particle sizes

A real-time detection and particulate matter technology, applied in measurement devices, particle and sedimentation analysis, particle suspension analysis, etc., can solve the problems of inaccurate measurement results, aerosol loss, regulation, etc., to ensure dynamic and static characteristics and reduce the formation of eddy currents , the effect of accurate measurement results

Inactive Publication Date: 2016-09-21
NANHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But there are defects in theory and device design in this invention, (1) the device will PM 2.5 The measuring instrument is placed in the buffer box. After the aerosol in the environment enters the box from the hole on the buffer box, its concentration and particle size distribution have changed significantly due to the cutting effect of the hole, and the measured data cannot reflect the aerosol in the actual environment. Particle mass concentration and particle size distribution
(2) During the measurement, the two PM 2.5 The flow values ​​of the gauges are all the same, resulting in upstream PM 2.5 The sampling flow rate of the measuring instrument accounts for a large proportion of the total gas flow rate, and most of the aerosols will enter the PM box before being filtered through the mask. 2.5 meter, which is then exhausted via the PM2.5 meter, due to PM 2.5 There are many small tortuous tubes inside the measuring instrument, and the aerosol will be greatly attenuated after passing through the PM2.5 measuring instrument, resulting in a large loss of aerosol passing through the mask before filtering, and the measurement result is inaccurate
(3) The system cannot regulate the filtering flow, and can only rely on PM 2.5 The measuring instrument provides filtering power, and the flow rate of the instrument is only 1.6-1.7 L / min. According to the requirements in the standard of "Respiratory Protective Equipment Self-priming Filtering Anti-particulate Respirator" (GB 2626-2006), the filtering flow rate should reach 85 L / min
(4) The instrument can only measure the effect of masks on PM 2.5 The filtration efficiency of the mask cannot measure the filtration efficiency of aerosol particles of other particle sizes and the pressure drop and classification filtration efficiency of the filter material of the mask.

Method used

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  • Method and device for in-situ real-time detection of filter characteristic of mask filter material on particles with different particle sizes
  • Method and device for in-situ real-time detection of filter characteristic of mask filter material on particles with different particle sizes
  • Method and device for in-situ real-time detection of filter characteristic of mask filter material on particles with different particle sizes

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Embodiment Construction

[0056] Adjust the air cylinder (9) and the outlet position so that the filtered gas is directed to an area away from the measurement point, so as to weaken the impact of the filtered gas on the measurement point.

[0057] Turn on two particle size spectrometers, two temperature and humidity recorders, micromanometers, digital display flowmeters, and pipeline-type frequency conversion fans (15), and adjust the digital display flowmeters through the pipeline-type frequency conversion fan (15) air volume control knob. To a (L / min), it is used to simulate the respiratory flow b of the human body under a certain labor intensity.

[0058] (1)

[0059] In the formula, d is the sampling flow rate of the aerosol particle size spectrometer, in L / min.

[0060] According to the requirements in the standard "Respiratory Protective Equipment Self-priming Filtering Anti-particulate Respirator" (GB 2626-2006), the filtration flow rate in this test is b=85 L / min, d=5 L / min, according to th...

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Abstract

The invention discloses a method and device for in-situ real-time detection of the filter characteristic of a mask filter material on particles with different particle sizes. The device comprises a filter flow, temperature and humidity real-time monitoring device, a mask clamping device and a mask inhalation resistance measuring device. By means of the method and the device, the filter efficiency, the classified filter efficiency and the pressure drop of a mask on aerosol particles with different particle sizes and the particle size distribution condition of the filtered aerosol particles can be quickly detected in real time. The method and the device have the advantages that the mask is easy to replace, operation and maintenance are easy and convenient, investment expenses are low, and the method and the device are suitable for practical environment measurement, high in measurement accuracy and the like.

Description

technical field [0001] The invention relates to a detection technology for the filtering characteristics of a mask filter material, in particular to a method and a device for in-situ real-time detection of the filtering characteristics of a mask filter material for particles of different particle sizes. Background technique [0002] With the development of my country's economy in recent years, smog has become a kind of environmental pollution. As people pay more and more attention to air pollution, protective products such as masks and air purifiers have emerged as the times require. The core component of these respiratory protective equipment is the filter material. [0003] The study found that the filtration characteristics of the filter material have a certain correlation with external factors such as ambient temperature, humidity, air pressure, etc. For example, temperature affects the thermal diffusion ability of particulate matter. The mask is a porous material with...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N15/08G01N15/02G01N15/06G01D21/02
CPCG01N15/08G01D21/02G01N15/02G01N15/06G01N2015/084
Inventor 叶勇军李志代鑫涛丁德馨李乐尹安松郭倩谢超
Owner NANHUA UNIV
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