This document provides a summary of the project Taipan, a data collection and monitoring system developed in collaboration with Skaginn 3X, a subsidiary of BAADER. This project was completed as a final project in Computer Science at Reykjavik University by Magni Mar Magnason, Ólafur Starri Pálsson, Friðrik Tryggvi Róbertsson, and Sindri Þór Harðarson.

Skaginn 3X specializes in high-tech food processing solutions for the fishing industry, including freezing, thawing, chilling, and food processing. The company is headquartered in Iceland and has a global customer base, highlighting its commitment to quality and innovation.

The goal of Taipan is to collect various metrics from food processing equipment, such as batch size, fish length, and temperature, and store them in a database. The system processes this data and displays it to the user in a secure and efficient manner. This allows Skaginn 3X to provide more value to their customers through data visualization of their processing facilities and aids in failure detection and preventative maintenance.

The system architecture includes two main networks: the Factory LAN and the Server LAN. The Factory LAN is an isolated network within food processing facilities, while the Server LAN is a virtual network ensuring only authorized devices can connect to the database. The data collection process involves Programmable Logic Controllers (PLCs) and Data Collection Nodes (DCNs) which use MQTT to transfer data to the Data Librarian (DL) for processing before storage in the database.

Users interact with the system through an API, which handles data retrieval and management functions. The API ensures secure access and facilitates configuration management via MQTT, allowing for dynamic updates to the data collection process.

For more detailed information about the Taipan project, please refer to the full report available at the following link:

Read the full Taipan Project Report

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Sindri Thor
Magni Mar Magnason
Ólafur Starri Pálsson
Friðrik Tryggvi Róbertsson