Modular Distributed Data Collection Platform
From iis-projects
Contents
Overview
The ability to collect application-specific data from various sensors, both offline and online, offers a multitude of possibilities for research, monitoring, and decision-making. One major challenge is meeting the application-specific needs, ranging from capturing short snapshots with high temporal resolution, such as motion trajectories in induced rockfall experiments, to long-term monitoring with moderate sample rates, such as logging environmental data. Additionally, when data is collected from multiple sensors distributed spatially, synchronization becomes an increasingly complex challenge. Finally, to support the scientific workflow effectively, data acquisition devices need to be customizable, user-friendly, and cost-effective.
Project description
In the context of this project, the student will develop such an IoT data acquisition device. The envisioned system should offer modularity on both the software and hardware fronts, providing a fast-expandable platform for integrating individual sensors. Although real-time monitoring of the collected data is desirable, onboard data logging (uSD card) will be targeted due to energy and bandwidth limitations. The system will incorporate wireless interfaces based on LoRa (Long Range) and/or Bluetooth Low Energy (BLE) for seamless configuration and remote monitoring. By leveraging LoRa and LoRaWAN the aim is to provide a cloud interface for sensor fleet monitoring in close real-time combined with the possibility to remote control the local data acquisition. Regarding energy supply, the system should be designed as a hybrid solution. It will incorporate a battery-powered mode to ensure uninterrupted data acquisition even when a wall-mount connection is not feasible.
The student's task in this project will be one or several of the tasks mentioned below. Depending on the thesis type (Bachelor/Semester/Master thesis), tasks will be assigned accordingly to interests and skills.
Tasks:
- Circuit and PCB design
- Embedded firmware design, sensor read-out, data storage, and wireless communication
- IoT system integration
- Design and test of an exemplary prototype (e.g., indoor light monitoring: ambient light sensor, optical spectrometer)
Prerequisites depending on tasks (not all required)
- Embedded firmware design (experience with FreeRTOS, Zephyr, etc. appreciated)
- Circuit design tools (e.g., Altium)
- IoT cloud frameworks (e.g., Teragraf, Influxdb, Grafana, etc.)
Type of work
- 10% Literature study
- 70% Software and/or Hardware design
- 20% Measurements and validation
Status: Available
- Type: Bachelor, Semester, or Master Thesis (multiple students possible)
- Professor: : Prof. Dr. Luca Benini
- Supervisors:
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Philipp Mayer
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