1. SylabUZ
2. Faculty of Computer Science, Electrical Engineering and Automatics
3. winter term 2021/2022
4. Computer Science - Second-cycle Erasmus programme
5. System integration

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System integration - course description

Aim of the course

• Introduction to IoT integration in monitoring and visualization
• Introduction to modern method of tracking and identification or vehicles and products
• Design and implemntation of HMI using IoT tools
• Introduction to selected work schedulling methods of machines and vehicles

Prerequisites

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Object-oriented programming, databases

Scope

Monitoring and visualization of conventional and autonomous vehicles:

• Monitoring vehicle parameters with IMU (Inertial Measurement Unit)
• Implementation of monitoring system in Windows using WiFi
• Vehicle performance visualization using NGIMU and UNITY
• Implementation of vehicle parameter monitoring using OBDII and Bluetooth Lights (BLE)

Tracking vehicles and goods

• Introduction to Openmatics DeTAGtive IoT
• Identification of machines and goods using DeTAGtive
• Implementacja in Android

HMI implementation with IMU and UNITY

Introduction to work schedulling of vehicles and machines

• Max plus algebra
• System modelling
• Implementation of predictive schedulling

System integration with intelligent IoT buttons and indicators

Teaching methods

Lecture: conventional lecture
Project: dedicated project tasks

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

Lecture - positive scores of written tests
Project - positive scores concerning all designated project tasks
Final score composition = lecture: 40% + project: 60%

Recommended reading

Gerber A., Craig C.: Android Studio. Wygodne i efektywne tworzenie aplikacji, Helion, Gliwice 2016

Ross E., Ross J.: Unity i C#. Podstawy programowania gier, Helion, Gliwice, 2018

Heidergott, B., Geert Jan Olsder, and Jacob Van Der Woude. Max Plus at work: modeling and analysis of synchronized systems: a course on Max-Plus algebra and its applications. Vol. 48. Princeton University Press, 2014.

Documentation of Next Generation Inertial Measurement Unit: http://x-io.co.uk/ngimu/

Documentation of Openmatics Detagtive: https://aftermarket.zf.com/go/en/openmatics/home/

Further reading

Notes

Modified by prof. dr hab. inż. Marcin Witczak (last modification: 31-08-2021 15:20)