Abstract
This work demonstrates a low-cost, miniature data repository proof-of-concept. Such a system needs to be resilient to power and network failures, and expose adequate processing power for persistent, long-term storage. Additional services are required for interoperable data sharing and visualization. We designed and implemented a software tool called Airchive to run on a Raspberry Pi, in order to assemble a data repository for archiving and openly sharing timeseries data. Airchive employs a relational database for storing data and implements two standards for sharing data (namely the Sensor Observation Service by the Open Geospatial Consortium and the Protocol for Metadata Harvesting by the Open Archives Initiative). The system is demonstrated in a realistic indoor air pollution data acquisition scenario in a four-month experiment evaluating its autonomy and robustness under power and network disruptions. A stress test was also conducted to evaluate its performance against concurrent client requests.
Highlights
Raspberry Pi has emerged as a key component in research, education and amateur cyber-physical systems
We present a proof-of-concept that Raspberry Pi can be used as a miniature, low-cost data repository that offers persistent data storage, and interoperable data sharing services over the Internet
We aim to demonstrate that a Raspberry Pi can become an active archiver of its own sensor recordings, and investigate whether it is powerful enough to provide data storage and dissemination services on site
Summary
Raspberry Pi has emerged as a key component in research, education and amateur cyber-physical systems. Raspberry Pi is a low-cost, mini-computer featuring processing, networking and video decoding capabilities [1]. It has no permanent storage; the user may instead attach an SD card. It exposes General Purpose Input–Output pins (GPIO) to connect with low-level peripheral devices through Hardware Attached on Top (HAT). Raspberry Pi has been demonstrated in a variety of applications beyond an educational context, including home-automation systems [3], fire alarm systems [4], home-security [5,6], health supply chains monitoring [7], smart city applications [8,9,10]
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