PELS (Procedia of Engineering and Life Science)
Vol. 10 No. 1 (2026): Proceedings of the 9th Seminar Nasional Sains 2026

Monitoring Of Silo Levels Using The Ultrasonic Vega C23 Sensor Integrated With The Vegapuls: Monitoring Silodengan Sensor Ultrasonic Vega C23 Menggunakan Aplikasi Vegapulse

Yudo Pawiro Negoro (Universitas Muhammadiyah Sidoarjo)
Agus Hayatal Falah (Universitas Muhammadiyah Sidoarjo)



Article Info

Publish Date
31 Oct 2026

Abstract

General Background: Level measurement systems play an essential role in modern industrial processing and inventory control facilities. Specific Background: Monitoring raw materials such as corn within industrial storage silos requires robust technology to withstand challenging environmental conditions like humidity and dust. Knowledge Gap: Traditional measurement techniques often yield inconsistent results, slower operational speeds, and safety vulnerabilities, necessitating advanced automated solutions. Aims: This study evaluates the deployment, performance, and optimization of the 80 GHz non-contact radar sensor VEGA C23 integrated with the VEGAPULS mobile application for real-time monitoring and fluctuation control at industrial facilities. Results: The integration successfully enables remote configuration, rapid calibration, and precise level detection, while systematic maintenance protocols effectively minimize signal fluctuations caused by material variations or environmental disturbances. Novelty: This work demonstrates the practical application of combining high-frequency radar technology with wireless mobile platforms for agricultural silo management. Implications: The implementation optimizes inventory control, reduces operational risks, and improves overall industrial productivity. Key Findings Highlights The 80 GHz VEGA C23 non-contact radar sensor provides stable and accurate level measurements despite dusty and humid silo conditions. Integration with the VEGAPULS application facilitates wireless remote configuration, real-time data monitoring, and fast sensor calibration. Systematic identification and management of signal fluctuations significantly improve the reliability of industrial inventory control. Keywords Vega C23, Vegapuls, Corn silo, Radar sensor, Level measurement

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Journal Info

Abbrev

PELS

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

PELS (Procedia of Engineering and Life Science) is an international journal published by Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo. The research article submitted to this online journal will be double blind peer-reviewed (Both reviewer and author remain anonymous to each ...