For carbon monoxide detector principle, we must first understand the characteristics of some of the

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For carbon monoxide detector principle, we must first understand the characteristics of some of the carbon monoxide gas, carbon monoxide (CO) is the most common type of explosive hazardous combustible gas, it gives industrial safety in production has brought great harm. Therefore, the development of a real-time to accurately measure the concentration of carbon monoxide gas gas detector is very necessary. Currently used to detect fire risk assessment carbon monoxide gas main methods of gas chromatography, optical interferometry, semiconductor gas sensors, infrared absorption spectrum, etc., the above four carbon monoxide gas concentration measurement methods have their advantages and disadvantages. However, infrared absorption method showed more advantages, the basic principle of infrared absorption spectrum is: the narrow band wavelength light source aligned with a measured gas absorption, a sinusoidal signal modulates the laser wavelength, laser modulated by being the measured gas, due to the absorption effect fire risk assessment of the gas, the wavelength modulation is converted to intensity modulation, when the center wavelength fire risk assessment of the laser is aligned at the center of the gas absorption peak output light contains the second harmonic signal modulation frequency and the signal amplitude is proportional to the concentration of the gas . By extracting the second harmonic absorption signals, fire risk assessment can realize fire risk assessment the measurement fire risk assessment of gas concentrations. Compared with the differential absorption method, harmonic detection method has higher resolution. In this paper, infrared absorption spectroscopy to achieve measurement of the concentration of carbon monoxide gas, carbon monoxide gas detector design process, the Lagrange fire risk assessment Interpolation thought applied to the data processing. This paper focuses fire risk assessment on carbon monoxide gas detector algorithms are designed to study the data optimization process.
The basic principle of infrared spectral absorption spectroscopy technique fire risk assessment is, Bill Lambert (BeerLambert) law, the emitted light intensity I of the incident light intensity Io of relationship I = Ioexp [-a (v) CL], where a (v) of gas the absorption coefficient fire risk assessment at a certain frequency v; C is the gas concentration; L is a gas absorption path length. Due to a (v) is about ambient temperature and pressure function, so long as the measured temperature and pressure environments can find a (v) the value, but the analytical expression of the function is very complex and not easy to handle and computing, Unable real time to accurately calculate a (v) the value, it can not determine the concentration of the measured gas. Therefore, the design of an algorithm more accurately determine a (v) the value will be the key measurement of carbon monoxide, carbon monoxide gas when the absorption coefficient obtained, we can according to Bill - Lambert's law by measuring carbon monoxide gas concentrations algorithm .
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