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

Gas density quantitative analysis instrument based on corrected kalman filtering theory

A Kalman filter, gas concentration technology, used in instrumentation, electrical digital data processing, special data processing applications, etc.

Inactive Publication Date: 2007-10-24
ZHEJIANG UNIV
View PDF0 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] The standard Kalman filter model requires the dynamic noise and measurement noise of the system to be white noise with zero mean and known statistical characteristics, but in the actual gas concentration measurement, there are noises such as Reileigh scattering, Mie scattering and photodetector noise. Impossible to accurately measure the statistical properties of dynamic noise

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
  • Gas density quantitative analysis instrument based on corrected kalman filtering theory
  • Gas density quantitative analysis instrument based on corrected kalman filtering theory
  • Gas density quantitative analysis instrument based on corrected kalman filtering theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0081] The measured gas component is ozone, and the spectroscopic instrument used is a CCD fiber optic spectrometer, covering the spectral range of 180nm-800nm. The light intensity data collected by the computer is used to invert the gas concentration by correcting the Kalman filter.

[0082] (1) Establish a priori gas absorption cross-section database: use the HITRAN public database of Harvard University as the prior data of the required system parameters, convolve the gas absorption cross-section matrix with the instrument function and then multiply it with the optical path to obtain the matrix H value .

[0083] (2) For a gas whose actual concentration is known, add the mixed gas to form different measurement noises, and use a spectrometer to obtain the measured spectrum and the light source spectrum without gas attenuation. Then, divide the measured spectrum by the light source spectrum, and take the logarithm of the result to obtain the spectral measurement data we need, ...

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 gas density quantitative analyzer based on correct Kalman filter theory, wherein the hardware part is composed of a light source, a receiving system, a spectrum device, a data line and a computer, the correct Kalman filter algorism of the software part is composed of a standard Kalman filter algorism and a noise parameter self-adaptive evaluation algorism. The light of light source is absorbed by object gas into the receiving system to enter into the spectrum device which obtains the transmissivity relative to the wavelength, to output spectrum data via the data line to be fed into the computer. The spectrum data in the computer is built into a measurement equation, which density distribution changes along time, to build a gas density equation, to be treated by correct Kalman filter algorism, to reversely obtain the gas density.

Description

technical field [0001] The invention relates to a gas concentration quantitative analysis device, in particular to a gas concentration quantitative analyzer based on the modified Kalman filter theory. Background technique [0002] Environmental pollution is a worldwide concern. Monitoring and forecasting of environmental pollutants such as gases produced by various burners, industrial and commercial boilers, exhaust gases from motor vehicles, and toxic gases (such as HCl, NH3, HF) from various chemical plants are the basis for environmental protection and pollution control. Necessary prerequisite. [0003] Traditional gas pollution monitoring is based on wet chemical technology and experimental analysis after absorption sampling. These instruments are usually limited to single-point measurement, and the response time is relatively slow. In contrast, optical and spectroscopic remote sensing technology has become an ideal tool for environmental gas monitoring and analysis du...

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): G01N21/31G06F17/00
Inventor 刘华锋
Owner ZHEJIANG UNIV
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