Master-Arbeit Joe Thunyathep Santhanavanich

Visualization and Analysis of E-bike Usage in 3D City Model by Integration of Heterogeneous Sensor Data

Master Thesis, Photogrammetry and Geoinformatics, WS 2017/18

According to the advances in information and communications technology, nowadays, the use of Internet of Things (IoT) has become a normal part of daily life as it allows interconnections among a wide variety of devices and sensors such as smartphones, smartwatches or any smart wearable devices, automobiles, or any object with a built-in sensor. However, these devices and sensors are developed by numerous different manufacturers which leads to the heterogeneity in the data management system. Consequently, a standard sensor protocol to sustain the interoperability among the various sensor systems is needed. In this research, the main contribution is building a sensor data management system for monitoring E-bike usages in the HFT i_city E-bike sharing project in the downtown area of Stuttgart city. The heterogeneous sensors in the project are including the SMART E-bike, the smartwatch Garmin Fenix X5, and the temperature data from OpenWeatherMap at the time this research is being conducted while the project is still open for more sensor devices and data sources. As for a scheme to tackle this challenge, three candidates of sensor protocols including 1) OGC SensorThings API, 2) OGC Sensor Observation Service, and 3) Advanced Sensor Data Delivery Service are implemented to manage the sensor from different sources in various format. (figure 1) Next, the performances by each sensor protocol are evaluated to find the best-qualified protocol. Last, all sensor data stored remotely by the selected protocol is used to develop a 3D web-based application for a visualization and analysis of the E-bike usage in 3D city model. (figure 2) To summarize the finding of this research, the OGC SensorThings API is the most competent IoT framework among the three candidate protocols. It serves all aspects including the IoT interoperability, understandability, and maintainability for developers and researchers which lead to the future expansion and development in terms of IoT devices and applications. It is also a successful sensor framework in the implementation for visualization

download watch video iCity project

 

The “i_city ebike sharing” application screenshot showing the simulation of a historical E-bike route by integration the following sensor data from user: SMART E-bike, Garmin Smart Watch, and temperature data from OpenWeatherMap.

The “i_city ebike sharing” application screenshot showing the simulation of a historical E-bike route by integration the following sensor data from user: SMART E-bike, Garmin Smart Watch, and temperature data from OpenWeatherMap.

System Architecture (The indicated numbers in a figure show research step: 1) Implementation of the Sensor Network, 2) Sensor Data Management, 3) Preparing 3D City Model Data, and 4) Developing 3D Application)

System Architecture: The indicated numbers in a figure show research step: 1) Implementation of the Sensor Network, 2) Sensor Data Management, 3) Preparing 3D City Model Data, and 4) Developing 3D Application