Infrared gas sensor based on BP (Back Propagation) neural network pressure compensation and detection method

Abstract

The invention discloses an infrared gas sensor based on BP (Back Propagation) neural network pressure compensation and a detection method. The infrared gas sensor based on the BP neural network pressure compensation comprises an infrared gas sensor, a pressure sensor and a micro processing system embedded with a BP neural network algorithm; the infrared gas sensor comprises a sampling gas chamber; the left end of the top of the sampling gas chamber is provided with a gas inlet; the right end of the top of the sampling gas chamber is provided with a gas outlet; the left end of the inside of the sampling gas chamber is provided with an electric modulation infrared light source; a light filtering wheel is arranged at the right end of the inside of the sampling gas chamber; a light filtering plate group is arranged in a middle position of the left side surface of the light filtering wheel; the light filtering plate group comprises two light filtering plates with different wave lengths; in addition, the two light filtering plates are symmetrical in the vertical direction; a binary heat release electric detector is arranged in a middle position of the right side surface of the light filtering wheel. The infrared gas sensor has the characteristics that the precision is high; the structure is simple; the applicability is high; the network training speed is high; the full compensation can be realized, and the like.

Description

technical field [0001] The invention belongs to the technical field of infrared gas sensors, in particular to an infrared gas sensor and a detection method based on BP neural network pressure compensation, belonging to infrared gas sensor detection technology, and a gas concentration sensor with pressure compensation function based on particle swarm optimization BP neural network Detection method. Background technique [0002] Infrared gas detection technology is a non-direct contact real-time gas detection technology widely used at present. With its wide measurement range, high sensitivity, fast response speed, good selectivity, high stability, continuous analysis and automatic control, etc. , has irreplaceable advantages in many fields such as petrochemical industry, power system, environmental gas monitoring and coal mining, and has been widely valued and applied. [0003] At present, the common optical gas detection technologies on the market include optical interferenc...

AI Technical Summary

Problems solved by technology

The first is the empirical formula method, that is, the least square method is used to fit the error caused by the same concentration of gas under different pressures, and the correlation coefficient of the empirical formula is determined by iterative method, and a mathematical model is established to perform pressure compensation. The amount is large, and the effect is not satisfactory when the pressure changes greatly, and the use of empirical formulas has limitations; the second is the pressure control method, that is, the hardware circuit module is used to maintain the dynamic balance of the detection environment pressure, so as to avoid the pressure caused by pressure. Measurement errors caused by changes, but the addition of hardware circuit modules not only increases power consumption, but also increases manufacturing costs and is not conducive to equipment miniaturization

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