Pipe wall interior dynamic temperature distribution real-time monitoring method

Abstract

The invention relates to a pipe wall interior dynamic temperature distribution real-time monitoring method comprising the following steps: collecting the temperature of each monitoring point; calculating an experimental temperature variation function between the monitoring points; selecting a spherical variation function model, and fitting the experimental variation function to get a theoretical variation function; dividing a sampling plane into grids, wherein the center point of each grid is a predicting point; calculating out the theoretical variation function value between the monitoring points in the neighborhood of the predicting points and the theoretical variation function value between the monitoring points and the predicting points; solving a Kriging equation set to get a Kriging weighting coefficient; calculating the Kriging interpolation temperature of each predicting point; and getting a temperature distribution cloud map of the sampling plane. Simple-structure and high-precision pipe wall interior temperature distribution acquisition can be realized at relatively low cost.

Description

Technical field [0001] The invention relates to a real-time monitoring method for dynamic temperature distribution inside a pipe wall. The invention can be applied to the field of measuring the internal temperature distribution of the pipe wall. Background technique [0002] Temperature is one of the most important process parameters. Monitoring the dynamic distribution of the pipe surface and internal temperature will help to understand the heat transfer characteristics of the pipe. At present, the existing research on pipeline surface temperature distribution mainly uses infrared principle to realize the measurement of pipeline surface temperature, which has better real-time performance and mature technology. As for the internal temperature distribution of the tube wall, the method of implanting temperature sensors is currently mostly adopted. This method has low cost and has a wide range of applications, but there are also some problems. [0003] An implanted temperature senso...

AI Technical Summary

Problems solved by technology

Among them, the measurement accuracy of thermal resistance is high, but the response time of thermal resistance is generally longer than that of thermocouple, which cannot meet the requirements in occasions with real-time requirements; at the same time, the existing multi-channel temperature signal acquisition method cannot guarantee the consistency of each signal Therefore, the obtained temperature distribution is not accurate enough; at the same time, the upper computer can only monitor the temperature of the sampling point, and cannot fully reflect the temperature distribution inside the pipe wall in real time, which has certain limitations

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