Sensorworld: A new approach to incorporating large-scale sensor data into engineering learning environments

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Abstract

Sensors play a critical role in engineering and science applications. However, most engineering students very rarely have access to large-scale real-world sensor data within the classrooms. Students who major in fields such as environmental engineering are not well prepared for the engineering professions because of the gap between real-world scenarios and scale of the data used within the classrooms. Diverse and non-standard software interfaces to sensors compound this problem significantly. Our goal is to document and make available data from a large variety of real-world sensors to engineering students through the iPhone and iPod Touch. Our project addresses this problem by implementing a middleware framework in the application server and a client on iPhone to facilitate access to sensor data. The primary research questions that this paper will address are: (1) How can sensor data be incorporated into current engineering learning environments effectively? (2) What are the problems of utilizing large-scale data within the scope of an engineering curriculum? and (3) What are the characteristics of a middleware framework that will allow the inclusion of realworld data sources within the classroom? Currently, we support a total of 1136 sensors from a variety of sources. This dataset contains sensor data of air temperature, water temperature, water level, wind speed, air pressure, precipitation, conductivity, and soil moisture, and is being rapidly expanded to support a large universal set of open sensors. Success of this project provides a chance to bring practice-oriented education into engineering classrooms. Students will be able to access real-time, real-world sensor data with a single iPhone application. Effective visualization and interface for navigation of sensor data helps engineering students better understand concepts, identify patterns, and discover problems not addressed in the textbooks. Engineering students are likely to be more engaged in the learning process by studying the latest natural phenomenon such as flooding in Atlanta and drought in Texas.

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APA

Xian, H., & Madhavan, K. (2011). Sensorworld: A new approach to incorporating large-scale sensor data into engineering learning environments. Computers in Education Journal, 21(2), 45–53. https://doi.org/10.18260/1-2--16761

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