Infrared gas sensor based on radial basis network temperature compensation and detection method

Abstract

The invention provides an infrared gas sensor based on radial basis network temperature compensation and a detection method, that are, a gas concentration detection method based on radial basis function neural network temperature compensation and an infrared gas sensor based on radial basis temperature compensation. The infrared gas sensor can be made to eliminate a measurement error generated due to a detected environment temperature change, and compared with an existing empirical formula method, the temperature compensation process is easier, more convenient and wider in applicability due to the fact that a radial basis network has the advantages that the training speed is higher and structural self-adaption determination and output are irrelevant to an initial weight value; compared with an existing temperature control method, due to the fact that only a chip embedded with a radial basis function neural network algorithm needs to be additionally arranged, increasement of the size of the infrared gas sensor is avoided, and minimization and low cost of the sensor are better facilitated.

Description

technical field [0001] The invention belongs to the technical field of infrared gas sensors, and in particular relates to an infrared gas sensor and a detection method based on radial basis network temperature compensation, in particular to an infrared gas sensor detection technology and a gas concentration detection method based on radial basis function neural network temperature compensation , is an infrared gas sensor that can perform temperature compensation. Background technique [0002] Infrared gas sensor has many advantages such as good selectivity, reliability and stability, rapid response, not easy to be poisoned, and long service life. It has been widely used in many places such as chemical industry, coal, metallurgy, electric power, and environmental monitoring. An essential tool for security. [0003] Common optical gas detection technologies include non-dispersive infrared detection technology, tunable laser spectroscopy technology, and acousto-optic spectrosc...

AI Technical Summary

Problems solved by technology

The first is the empirical formula method, that is, iteratively uses the least squares fitting to determine the correlation coefficient of the empirical formula, thereby compensating for the error caused by temperature changes. This method uses coefficient calibration for temperature compensation after data collection, but the amount of calculation is relatively large. large, and the use of empirical formulas has certain limitations; the second is the temperature control method, that is, the temperature control module is used to maintain a dynamic balance of the detection environment temperature, thereby avoiding measurement errors caused by temperature changes. This method uses hardware circuits to make infrared The gas sensor is in a relatively constant temperature detection environment, but the addition of the temperature control module increases the manufacturing cost of the infrared gas sensor and is not conducive to miniaturization

Images