Course content
Today, sensors and their data are an integral part of spatial data infrastructures. Wired together using Geo Sensor Networks they are one of the main components of smart cities and smart regions. Thus, they play an important role in geodesy, construction, energy and mobility sectors, as well as for monitoring and controlling systems of the environment, agriculture, forestry and many more.
The focus of the module is to provide skills for analysis, concept development and implementation of IoT projects where data is collected using sensors, transmitted to the Internet using various network technologies, and managed, visualized and analyzed using open standards for Geo Sensor Networks.
The course includes an introduction to IoT hardware. Microcontrollers (Arduino, RaspberryPi), a range of sensors, actuators and indicators, and the most common protocols for communication between controllers and peripherals will be introduced. Furthermore, communication hardware and protocols of microcontrollers are discussed. The focus here is on Low Power Wide Area Network technology LoRa and the LoRaWAN protocol. For sensor data management, the basics of interoperable open standards for Geo Sensor Networks (including OGC Sensor Web Enablement and SensorThings API) will be introduced and standard compliant services and protocols will be used. In addition, methods and tools for visualization and analysis of time series data will be presented and used in the course.
The course focuses on practical work and is held in the form of group work.
Student groups of 2-3 students work on IoT projects - from the hardware selection up to a IoT application using the sensor data that is collected by the hardware.
The hardware for each student is provided by us and the teams work on their own. The student groups are supported by our staff and tutors.
More details on the course, a timetable and information regarding the grading and registration is available in Schedule.
Important references
If you have questions regarding the course, please give me a call or write me an eMail: b.willenborg(at)tum.de, +49 89 289 22973
