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

Signal recognition method, signal recognition device and volatile organic compound detection apparatus

A volatile organic compound and signal identification technology, applied in measurement devices, analysis of gas mixtures, instruments, etc., can solve the problems of cumbersome testing process, inability to reflect gas concentration changes in time, cross-contamination, etc., to improve the spraying process and technology. Effect

Inactive Publication Date: 2017-09-05
YANCHENG INST OF TECH
View PDF13 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the monitoring of VOCs from fixed pollution sources is mainly based on on-site manual sampling and returning to the laboratory for analysis. Gas chromatography or chromatography-mass spectrometry analysis methods are currently recognized standard detection methods for VOCs. However, the instruments and equipment are expensive, the test cost is high, and professional operation is required, which cannot meet the requirements of on-site detection, and the off-line method has poor timeliness and cannot reflect the change of gas concentration in time. During the process of sampling, sample storage, and transportation Easily lead to sample loss and cross-contamination, cumbersome testing process and high cost
The online monitoring sensor method can use a single sensor to quantitatively analyze a certain component of VOCs, such as the hydrogen flame ionization detection method (FID), and the photoionization sensor (PID) method can measure the total amount of VOCs, but only VOCs can be measured The total amount does not fully reflect the emission of coating pollutants

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
  • Signal recognition method, signal recognition device and volatile organic compound detection apparatus
  • Signal recognition method, signal recognition device and volatile organic compound detection apparatus
  • Signal recognition method, signal recognition device and volatile organic compound detection apparatus

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0026] Please refer to figure 1 , is a structural block diagram of the volatile organic compound detection device 100 provided in the first embodiment of the present invention. The volatile organic compound detection device 100 provided by the embodiment of the present invention is used to detect the composition and content of volatile organic compounds (volatile organic compounds, VOCs) in spraying operations, so as to prevent and control VOCs pollution. Common VOCs include benzene, toluene, ethylbenzene, xylene, methanol, ethanol, acetone, isopropanol, preferably benzene series.

[0027] The volatile organic compound detection device 100 includes a plurality of hardware and software functional modules, and the volatile organic compound detection device 100 can be equipped with Android (Android) system, IOS (iPhone operating system) system, Windowsphone system, Windows system, etc., as a plurality of software The function module provides the operating environment. In the em...

no. 2 example

[0049] Please refer to Figure 4 , is a flow chart of the signal identification method provided by the second embodiment of the present invention. The signal identification method provided by the second embodiment of the present invention includes the following steps:

[0050] Step S101 , sampling the signal responded by the gas sensor array 106 .

[0051] Specifically, after the signal responded by the gas sensor array 106 is preprocessed by the data acquisition circuit 107, the sampling module 201 collects the preprocessed signal. It is the analog signal generated by the gas sensor array 106 in response to the corresponding sensitive gas, and the digital signal processed by the data acquisition circuit 107 is the sampled signal.

[0052] In the embodiment of the present invention, the step S101 may be executed by the sampling module 201 .

[0053] Step S102, performing feature extraction on the sampled signal.

[0054] Use the principal component analysis method to extra...

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 embodiment of the invention provides a signal recognition method, a signal recognition device and a volatile organic matter detection apparatus, and relates to the technical field of air pollutant monitoring. The volatile organic matter detection apparatus is used for carrying out online detection of VOCs, application programs of the signal recognition method and the signal recognition device are stored in the volatile organic matter detection apparatus, the apparatus can collect the VOC pollutants, and a responded signal undergoes preprocessing, sampling, feature extraction, recognition and calculation through the corresponding of a gas sensor array to obtain the kinds of gases contained in the VOCs and the corresponding concentrations in order to rapidly and accurately monitor the VOC pollutants in the spraying process. The method, the device and the apparatus can provide effective monitoring data for environmental monitoring, and also can provide theoretical support for improving the spraying process and technology.

Description

technical field [0001] The invention relates to the technical field of air pollutant monitoring, in particular to a signal identification method, device and volatile organic compound detection equipment. Background technique [0002] In recent years, my country's air quality has deteriorated seriously, regional smog and ozone pollution incidents have occurred frequently, and long-term large-scale emissions of volatile organic compounds (volatile organic compounds, VOCs) are one of the main factors. According to statistics, VOCs in cities mainly come from exhaust emissions from fixed pollution sources, accounting for about 55.5% of the total man-made emissions. Due to the diversification of the product structure of enterprises with coating processes, the types and shapes of coating materials, and the processes used in the coating process are also different, resulting in different VOCs emission links and emission characteristics. The effective monitoring of VOCs pollution in ...

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): G01N33/00G01N27/64G01N27/26
CPCG01N27/26G01N27/64G01N33/0004
Inventor 周博嵇云周兆锋胡恒荣曾勇
Owner YANCHENG INST OF TECH
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