May 2019 ~ July 2022
Short project description
For the purpose of creating digitalisation and automation solutions Arrowhead Tools adresses engineering methodologies and suitable integrated tool chains. With the global aim of substantial reduction of the engineering costs for digitalisation/automation solutions. Thus the Arrowhead Tools vision is: – Engineering processes and tool chains for cost efficient developments of digitalization, connectivity and automation systems solutions in various fields of application For the further and wider commercialisation of automation and digitalisation services and products based on SOA, Arrowhead Framework and similar technologies there is a clear need for engineerings tools that integrates existing automation and digitalisation engineering procedures and tool with SOA based automation/digitalisation technology. For this purpose the Arrowhead Tool’s grand challenges are defined as: – Engineering costs reduction by 40-60% for a wide range of automation/digitalisation solutions. – Tools chains for digitalisation and automation engineering and management, adapted to: 1. existing automation and digitalisation engineering methodologies and tools 2. new IoT and SoS automation and digitalisation engineering and management tools 3. security management tools – Training material and kits for professional engineers The results will create impact on: – Automation and digitalisation solution market – Automation and engineering efficiency and the SSBS market – Automation and digitalisation security – Competence development on engineering of automation and digitalisation solution.
More details please visit the official website.
The aim is to develop digital twin of crane using both online and offline sensor data to provide structural monitoring. We plan to use the Palfinger crane mounted on NTNU research Gunnerus vessel as the testbed, as shown in the figure below.
The task can be roughly divided into:
- Sensor investigation and installation
- Data transmission, storage and analysis
- Remote monitoring