Gas sensor temperature compensation model establishment method and device and gas concentration measurement method and device

Abstract

The invention discloses a gas sensor temperature compensation model building method and device and a gas concentration measuring method and device. The method comprises the steps: acquiring double-voltage signals output by a working electrode and an auxiliary electrode, triggered by sample standard gas, of a gas sensor; and inputting the dual-voltage signals and the current temperature of the sample standard gas into the BP neural network as a collection sample set, and optimizing and training the BP neural network by adopting an improved PSO algorithm by taking the concentration of the samplestandard gas as an output target to obtain a temperature compensation model; and designing a corresponding test system and a test method for the temperature compensation model, and performing temperature compensation on the gas sensor based on the temperature compensation model to achieve measurement of the concentration of the measured gas.

Description

technical field [0001] The invention relates to the technical field of gas concentration measurement, in particular to a gas sensor temperature compensation model establishment, gas concentration measurement method and device. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Electrochemical gas sensors have the characteristics of high measurement sensitivity, stable performance, high linearity, long life, and good selectivity, and are widely used in the quantitative monitoring of low-concentration toxic and harmful gases, combustible gases, and ambient air. [0004] However, when the electrochemical gas sensor is working, the output signal is easily affected by the ambient temperature, and there is a problem of temperature drift. The sensitivity and zero current of the sensor change with the ambient temperature, and there will be a certain ...

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Problems solved by technology

[0004] However, when the electrochemical gas sensor is working, the output signal is easily affected by the ambient temperature, and there is a problem of temperature drift. The sensitivity and zero current of the sensor change with the ambient temperature, and there will be a certain error between the measured value and the actual value, thereby reducing the gas concentration. Detection accuracy

[0005] In addition, the temperature compensation of the gas sensor can be divided into hardware compensation and software compensation from the structure. For the hardware compensation method, since the temperature compensation current debugging needs to adjust the resistance value, the circuit is affected by the drift of electronic components and the precision of component welding. Influenced by other factors, the implementation process is complicated and only rough temperature compensation can be achieved, resulting in low reliability of the entire measurement circuit

[0006] For software compensation methods, there are table look-up method, curve fitting method and BP neural network and other methods. Although the compensation method based on neural network has high precision, it is difficult to determine the initial weight and threshold, slow convergence speed, and easy to fall into local minimum, etc. Disadvantages, also due to the large amount of calculation and low fitting degree, it is impossible to accurately realize temperature compensation

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