Method for extracting gas property parameters based on microthermal field dynamic characteristics

By employing a gas property parameter extraction method based on the dynamic characteristics of micro-thermal fields and utilizing swept frequency excitation electrical signals and frequency domain response analysis, the problems of complex, costly, and inaccurate measurement equipment in existing technologies are solved, enabling accurate, reliable online extraction and adaptive measurement of gas property parameters.

CN121090787BActive Publication Date: 2026-01-27E-SMARTCHIPS (JIANGSU) ELECTRONIC TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202511634112.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-10
Publication Date
2026-01-27
Estimated Expiration
2045-11-10

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Abstract

The present application relates to the technical field of gas parameter extraction, in particular to a gas property parameter extraction method based on micro-thermal field dynamic characteristics, comprising: applying a sweep excitation electrical signal to a micro-heater of a MEMS sensor, collecting and processing original dynamic response signals to generate frequency domain response data; constructing a parameterized extraction model, extracting real-time property parameters from the frequency domain response data, substituting into a signal-to-noise ratio objective function, and calculating to generate optimized excitation parameters; generating an updated sweep excitation electrical signal based on the optimized excitation parameters; collecting and generating reference frequency domain response data; extracting measured property parameters from the reference frequency domain response data, comparing to generate a measurement deviation signal, and online calibrating and correcting internal coefficients of the parameterized extraction model. The present application realizes accurate and reliable online extraction of complex mixed gas property parameters by decoupling analysis of the frequency domain response of the dynamic micro-thermal field and combining online self-adaptation and self-correction mechanisms.
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