Abstract
The temperature measurement performed by edge devices is effective in remote pipeline monitoring and maintenance in an Internet of Things (IoT) network. It provides a non-invasive, easy-to-install and compatible solution for upgrading existing pipelines. However, there is no systematic testing scheme for different pipelines. This article presents comprehensive theories and simulation results for indirect temperature measurement in pipeline. The basic heat transfer models in cylindrical and rectangular pipes were established. Analytical solutions which are applicable for embedded devices at the edge were proved to have good accuracy as conventional methods realized at the server. The model interpreted temperature evolution inside the pipe for both convective and conductive condition. We also proposed an effective approach to model multilayer non-metallic pipelines with boundary-equivalent single-layer approximation. The temperature field was determinable by an embedded system using a dichotomy algorithm. This work aims to provide guidelines for non-invasive time-dependent temperature measurement in IoT pipeline applications.
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