Intelligent monitoring system of oil tank liquid level based on infrared thermal imaging

Fenghua Liu; Yingbo Li

doi:10.1117/12.2672730

28 April 2023 Intelligent monitoring system of oil tank liquid level based on infrared thermal imaging

Fenghua Liu, Yingbo Li

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126104B (2023) https://doi.org/10.1117/12.2672730
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

Liquid level monitoring is widely used in industrial systems monitoring. Accurate monitoring of liquid levels is an essential tool in the production control process, especially for monitoring the status of oil storage tanks. In order to improve the accuracy of the storage tank monitoring system, this paper designs an intelligent monitoring system based on infrared thermal imaging for storage tank level monitoring. The hardware part of the level measurement system is mainly composed of the host computer, microcontroller, head, and infrared thermal imager. The software design consists of the following aspects: level image acquisition based on infrared thermal imaging, level measurement using ultrasonic characteristics, and level monitoring using input transmitters. By comparing this system with a conventional monitoring system, the experimental results were obtained: the relative error of the monitoring system in this paper was 0.8%. The relative error range of the conventional system is 2.6% to 5.8%. It can be seen that the system in this paper is better than the traditional system, and the experiment is successful. The oil storage tank level monitoring system designed in this paper has the advantages of accurate monitoring, stable operation, simple operation, and simple implementation of network management, and it has broad application prospects.

Citation Download Citation

Fenghua Liu and Yingbo Li "Intelligent monitoring system of oil tank liquid level based on infrared thermal imaging", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126104B (28 April 2023); https://doi.org/10.1117/12.2672730

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