The port is a complex ecosystem with expensive infrastructure and an immense flow of goods. We continuously explore options to get goods at the right time, at the right place, and at the lowest price. Moreover, this needs to be done in a sustainable way! We lack a shared situational awareness, which leads to excessive human communication. Furthermore, decisions are made based on incomplete and inaccurate information. Improving or creating a shared view is therefore the quest we are facing.
The development and maintenance of port infrastructure are capital intensive, and hence costly, activities. Insights regarding the current state, actual usage and load is valuable information for creating smart processes and smart infrastructure.
The Internet of Things is the start of a new era where everything will be connected and everything can be known at a marginal cost. This will change the port game. In particular, it will change the way we will build new infrastructure; it will change the use and management; and it will change the maintenance processes.
We need a shared real-time view of the port operations. A view that visualizes the actual situation in the port; that provides insight in the number of trucks, trains and ships. Or even better: a view that provides real-time insights in the actual load on the port infrastructure.
Can you give an indication regarding the reliability of the data? What are the things we can learn from the past? How can we use it now and in the future? We are looking for an Uber Experience in the port; having the information at hand and using the real-time insights to take immediate action.
For optimization of maintenance processes, it is important to know what has -in reality- happened with the port infrastructure. In particular, the actual number of ships, trucks, and trains visiting the port with their actual loads have a high impact on what infrastructure needs to be maintained and when. Often this information appears to be missing. However, most datasets have hidden information that might be of value for maintenance. Alternatively, when specific information is missing, perhaps it can easily be created with the Internet of Things. We challenge you to tell us what happened in the port!
As a ‘thing’ I want to be known. I want to let the world know all about who I am and what I can be used for. I long for contact. You can meet me on ThingBook. As most things, I like to collaborate. Our collective efforts are known as Machines. Check out our successes at ship.thingbook.com, truck.thingsbook.com and train.thingbook.com. Things believe in serendipity and co-creation, we love to date. To find other cool things we share our profile on Thingder …
The challenge is that we things want to be smarter; we want to share, we want to see the future! Please help us!
Recently, an algorithm has been developed to predict the opening of the “Botlekbrug” in Rotterdam. Knowing when bridges will be open is important for traffic, so as to make decisions while planning trips. The current algorithm is specifically designed for the “Botlekbrug” and the question is: how can we improve? Additional data sources might be added, such as wind. Can the prediction window be increased, and how accurate are the results? What adjustments need to be made in order to make this algorithm applicable for other bridges? Furthermore, an important question is: how would a pre-trip / on trip tool work for the users? Can you make the magic work?