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Chainporthack, the worlds first-ever port & maritime hackathon taking place in Antwerp.



3 inspiring days and 2 nights of developing innovation on logistics in the port.

You can hack day AND night from 11 – 13 October 2018.



ChainPORT hack will focus on 6 different challenges, each having a place in the port of Antwerp.


Keywords: Predictive analysis, Internet of Things, …

Getting commuters out of their cars requires different elements, among them, infrastructure (cycling paths, bus lanes, etc.), alternatives (bike bus, waterbus, etc.), and a mental shift (people actually changing from their car to an alternative). These elements are very much intertwined and depend heavily on each other.  E.g., a new cycling path will not make more people change to a bike if they do not have a suitable bike or are not given a financial/time incentive. Can you come up with solutions that address one or more of these aspects of mobility and contribute to the accessibility of the port of Antwerp?



Keywords: ETA, ETD, AIS, Process Flow, Documents Flow, Predictive Modelling, …

One of the main goals of the ChainPort alliance is to improve the connection between ports worldwide and exchange data to make better predictions and provide our customers with accurate information.

  • Data contained in one PCS** can bring added value to another PCS, and alignment can develop new value-added services. Exchanging information to port calls between ports is key.

  • Current MSW*** collects and centralizes a lot of operational data for the European member states. Can this be used to do predictive analysis? Can it be combined with data coming from outside the European Union?



Keywords: DG, EDI, CODECO, COARRI, OR, SI, B/L, …

There are 2 aspects to this challenge which could be addressed individually or together.

The first aspect is focused on data quality. Data provided by the shipper is re-entered at the shipping line and passed on to the Port Authorities. At various stages technologies could be used to check whether the information which arrives at the port authorities still matches the data as provided by the shipper. The data should also be checked against external databases with definitions of restrictions for specific goods.

The second aspect of the challenges deals with the process in general for submitting and declaring dangerous goods details. One could imagine an end to end process having some or all of the characteristics: Shipping line/carrier neutral, Optical recognition (OR) of the various DGD documents, Live checks of dangerous cargo details against vessel/carrier and port restrictions, international and national regulation, Accessibility to dangerous cargo details at all times for all involved, Possible EDI interconnectivity for all parties involved, Automatic declarations to port authorities, Data in the system is updated by port and terminal info (CODECO and COARRI).



Keywords: Scan equipment, Robotica, AIoT, Big Data, Data Pipeline, Data Lake, BlockChain, AIS, OCR, Machine Learning & Deep Learning, …

Taking into account the ever-increasing trading volumes and related data which Belgian customs services are expected to supervise and control, and the reduction of customs workforce, it is a challenge to reach maximum security and facilitation through the implementation and use of most sophisticated technologies at the right time and the right place in the logistics chain. In order to achieve the intended purpose, technological improvements both in terms of hardware and software, and the integration of both, are necessary.

The intended technology should be able to automatically identify goods and means of transport showing anomalies, in this case cocaine, and remove them from the logistics chain for further inspection. At the same time, the intended technology must be able to determine the precise location of the cocaine in the goods and means of transport.

Therefore the intended technology needs to combine high system performance, low throughput times and must be a 100% reliable by excluding false positive and false negative control results, and by minimal human intervention.

What is the detailed solution you propose ? In case of a partial solution : How do you see the connection to other parts of the technology/other technologies ?



Keywords: Internet of things, Big Data, Blockchain, Predictive analysis, …

In the port, there are numerous assets that have the potential to be operated in a flexible way: heating & cooling installations, electric cars, electric forklifts, and more. In the same area, there is also potential for large amounts of renewable energy (solar & wind). This variable energy production will highly challenge the operation of the electricity grid. How would you develop an algorithm that uses flexibility in the system to reinforce the electricity grid? Can the flexible asset (e.g., an electric car) decide correctly by itself how to operate (when to charge)?  The decision should be based on straightforward and real-time parameters such as: weather conditions, voltage/frequency on grid, and port activity, among others. The goals should be to increase system efficiency and better integration of renewable energy. The final answer may be the necessary number of electric cars to integrate a specific amount of solar energy on the local grid.

Can you expose other synergies between two or more sectors in the energy system in a port-specific environment? What about process heat and the interaction between steam generation, electricity production, electric heating, and renewable energy? Can you develop a similar operating algorithm for these assets to utilize them in a more sustainable way?



Keywords: Pilots, river restrictions, tug boats, locks, port authorities, terminals, TOS (terminal operating systems), …

Bridge the gap between perception and technology and show that port activities are using the latest software to run their operations. Improve the image of the shipping industry. We are looking for your stories and/or solutions. If you have an interesting solution and/or story, you will be provided with the opportunity to show it at the chainPORT hackathon. For example: Prototype to visualize the port operations of sea-going vessels from the time the vessel approaches one of the pilot stations until the cargo is offloaded onto the quay side.

These challenges are selected by NxtPort, port of Antwerp and AlfaPort Voka.