Development of a low-cost portable IoT seismic table for simulation and analysis in civil engineering
DOI:
https://doi.org/10.26507/paper.4275Keywords:
Seismic table, IoT, Seismic simulation, Microcontroller, Civil engineering, Structural vibrations, Portability, Preloaded earthquakes, Experimental testing, Artificial intelligenceAbstract
The study of structural behavior in response to seismic events is fundamental for civil engineering and risk management. However, many institutions have limited access to seismic simulation equipment due to its high cost, preventing the development of experiments that complement conceptual learning. This work presents research advancements on developing a low-cost portable seismic table, designed for simulating ground movements and accessible for research and educational laboratories. The platform is based on a microcontroller and a stepper motor, enabling the reproduction of real seismic signals. A motion control system optimized with a sinusoidal function is employed, and to ensure simulation accuracy, the system uses digital signal processing. The seismic table includes a library of preloaded earthquakes, allowing users to replay historical records without requiring an external connection. This feature facilitates its use in educational and experimental environments, as users can select and execute different seismic scenarios instantly. Additionally, the system incorporates the Internet of Things (IoT), enabling wireless connectivity for remote management of the seismic table through a web browser. This feature simplifies experiment control without requiring a physical connection, allowing users to modify parameters and execute simulations efficiently.
Currently, the seismic table is undergoing testing, where motion accuracy is being validated using acceleration and displacement sensors. The obtained data is compared with original seismic records to ensure simulation fidelity. The table is expected to reproduce seismic frequencies from 0.5 Hz to 10 Hz and a maximum amplitude of 60 mm, covering a useful range for simulating various types of earthquakes. The design is characterized by its portability, allowing for easy transportation due to its compact size. It is ideal for educational and research applications in resource-limited environments. Its implementation in universities will enable students to conduct experimental tests that complement their theoretical studies in structural dynamics. Moreover, it can be used in the development of seismic risk mitigation models, contributing to the design of more resilient infrastructure. The developed seismic table represents a breakthrough in democratizing seismic engineering research, offering a low-cost solution with digital connectivity, preloaded earthquake reproduction capabilities, and unprecedented portability. Its modular design allows for future enhancements and integrations with other structural monitoring systems, making it a versatile tool for innovation in civil engineering.
Author Biographies
Eliú Pineda Argel, P Sensors Labs
I am a Civil Engineer passionate about developing technological solutions in robotics, IoT, seismology, and geodesy. I combine engineering expertise and technology to design innovative systems that solve complex challenges efficiently and sustainably. My work is driven by a commitment to "Innovating The Future" through cutting-edge engineering solutions.
My main areas of focus include:
Robotics and IoT: Designing and programming embedded systems with technologies like ESP32, Raspberry Pi, and advanced sensors for monitoring and control. Developing data storage and analysis solutions.
Seismology: Creating low-cost seismic tables for signal simulation and analysis. These tools are designed for research, academic training, and practical applications in structural engineering.
Surveying and Geodesy: Implementing and expanding high-precision GNSS RTK networks, including CORS stations and data post-processing using specialized software for cartography and 3D modeling applications.
Currently, I work at Tenken Engineering as Innovation Coordinator, leading projects related to IoT sensors and networks. In addition to my work at TenKen, I dedicate my time to developing technological solutions for seismology and surveying in collaboration with industry experts.
My mission is to drive technological innovation in engineering by designing accessible, accurate, and sustainable tools. I’m always open to collaborating on projects that push the boundaries of technology.
Albert Ortiz Lasprilla, P Sensors Labs
Profesor, Escuela de Ingeniería Civil y Geomática, Universidad del Valle
References
Chopra, A. K. (2017). Dynamics of Structures: Theory and Applications to Earthquake Engineering. Pearson Education, Boston, pp. 944.
NSF. (2013, June). Final report: NSF Seismological Facility for the Advancement of Geoscience (SAGE). Consultado el 15 de Junio de 2024 en https://www.iris.edu/hq/
Espressif Systems. (2016, September). Final report: ESP32 Datasheet. Consultado el 3 de diciembre de 2022 en https://www.espressif.com/
Solectro. (2021, June). Final report: ¿Cómo funcionan los motores PAP? ¿Qué son los microsteps?. Consultado el 10 de enero de 2023 en https://solectroshop.com/es/blog/como-funcionan-los-motores-pap-que-son-los-microsteps-n90?srsltid=AfmBOorfeu7jQPmuX7yBfbNlXXUbgS7cRo-yMOahgfOrKmr7bhe_jshQ
Plaincode. (s.f.). Final report: Accelerometer - Sensor App for Android. Consultado el 15 de febrero de 2024 en https://play.google.com/store/apps/details?id=de.ralf.android.accelerometer
P-Shaker. (2025, Marzo). Final report: Documentación p-shaker. Consultado el 11 de abril de 2025 en https://eliupineda.github.io/shaker/
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