Baseline shift adaptive compensation detecting method used for combustible gas detector

Abstract

The invention discloses a self-adapting compensation detection method for baseline shift of combustible gas detector, belonging to the gas detection technical field, suitable for baseline shift compensation of combustible gas detector and long-time monitoring the outburst combustible gas leakage accident. The baseline shift is as the general problem of the gas sensor and the baseline shift speed due to the environment factor and the slow change of the gas sensor is far less than the change speed of the gas leakage signal. A gas detector control center in the invention presets a changed speed threshold and the concentration alarming threshold; the baseline shift signal and the combustible gas leakage response signal are differentiated by the change speed of the initial gas concentration signal G of the gas sensor; and the gas concentration T and the baseline B are calculated after self-adapting compensation of the baseline shift; and the alarm signal E1 and the severe shift alarm signal E2 are generated based on T and B. The combustible gas detector can automatically judge the baseline shift and the user is reminded of timely calibrating or exchanging the gas sensor.

Description

technical field [0001] The invention relates to a baseline drift self-adaptive compensation detection method for combustible gas detectors, which is used in the field of gas detection, and is especially suitable for long-term monitoring of sudden gas leakage accidents. Background technique [0002] Existing gas detectors have been widely used in the field of gas leakage monitoring due to the advantages of miniaturization, low power consumption, low price and convenient use. The core component of the gas detector is the gas sensor. As we all know, the output signal of most gas sensors is affected by environmental factors such as temperature, humidity, and oxygen partial pressure in the place of use that change slowly with the weather and seasons, and the electrical signal of the gas sensor itself also drifts sometimes. The influence of these factors is comprehensively manifested as the baseline drift phenomenon of the output signal of the gas detector. In many combustible g...

AI Technical Summary

Problems solved by technology

These methods not only increase the cost and power consumption of the gas detector, but also can only compensate the baseline drift caused by temperature and humidity, but cannot compensate the detector signal baseline drift caused by other environmental factors and the gas sensor itself.

Another way of thinking is to use the characteristics of the gas sensor and use algorithms such as adaptive principal component analysis and neural network to compensate the baseline drift of the gas sensor signal, but the complexity of the algorithm limits their application in small detectors, and it is not convenient

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