Temperature and humidity compensation method and device for gas sensor
A gas sensor, temperature and humidity compensation technology, applied in the field of gas sensors, can solve the problems of falling into a local minimum, improper compensation of sensor detection results, slow network convergence speed, etc., to improve accuracy, avoid premature convergence, and ensure accuracy Effect
Pending Publication Date: 2022-05-10
TONGJI UNIV
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However, since the initial weights and thresholds of the BP neural network are randomly generated, when the selection of the two is inappropriate, it is easy for the network to converge slowly and fall into a local minimum, resulting in improper compensation for the sensor detection results.
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[0043] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.
[0044] This embodiment proposes a temperature and humidity compensation method for a gas sensor, which includes inputting the measured value of the gas sensor, the current ambient temperature and the current ambient humidity into the BP neural network optimized by the artificial bee colony algorithm to obtain the compensation value of the gas concentration. Among them, the optimization process of BP neural network is as follows: figure 1 As shown, the details are as follows:
[0045] Step S1, initialize the parameters of the artificial bee colony algorithm, use the weight and thresho...
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The invention relates to a temperature and humidity compensation method and device for a gas sensor, and the method comprises the steps: inputting a measurement value of the gas sensor, the current environment temperature and the current environment humidity into a BP neural network optimized through an artificial bee colony algorithm, and obtaining a compensation value of gas concentration. According to the invention, the BP neural network is optimized by using the optimized artificial bee colony algorithm, the influence of the initial weight and the threshold on the prediction result of the BP neural network is reduced, and the optimal nectar source is determined by using the segmented roulette algorithm in the artificial bee colony algorithm. Compared with the prior art, the method has the advantages of more accurate compensation value and the like.
Description
technical field [0001] The invention relates to the field of gas sensors, in particular to a temperature and humidity compensation method and device for a gas sensor. Background technique [0002] Gas is an inseparable part of our production and life. In life, we need to inhale oxygen and use liquefied petroleum gas; in production, many fields need to use gas raw materials, and industrial processes also produce gas. Therefore, it is necessary to study high-performance gas sensors. [0003] The detection accuracy of the gas sensor will be affected by the environment, in which temperature and humidity (temperature and humidity) are the two main influencing factors. The electronic components and optical components in the sensor will be affected by temperature and humidity and change, resulting in a decrease in detection accuracy and stability. For combustible gases such as hydrogen and methane and toxic gases such as carbon monoxide and chlorine, inaccurate detection results...
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IPC IPC(8): G06F16/215G06N3/04G06N3/08G01N33/00
CPCG06F16/215G06N3/086G01N33/0062G06N3/044
Inventor 张明民傅焕哲王磊王俊
Owner TONGJI UNIV