Advancing Vehicle Operations in Ports with 5G

The Port of Tyne is looking to engage with innovators and innovative companies that can help them solve their challenge of needing to accurately track the movement of assets through the Port of Tyne in relation to utilising 5G to advance vehicle operations management onsite.

Opportunity

Challenge opens

17/01/2023

Challenge closes

19/02/2023

Benefit

Successful applicants to this iX challenge will have the opportunity to apply their technology to develop a novel solution that will have a real life impact for the Port of Tyne, improving operational efficiency, data collection/analysis and control over CO2 emissions. Successful applicants may have the opportunity to partner with the Port of Tyne to bid for R&D funding to further develop the proposed project and will be allowed site access to demonstrate their solution. There is also the potential to present at a future event as part of Maritime Innovation week 2023.

Background

Within any port there are numerous logistical operations taking place at any one time, the Port of Tyne is no exception. With so many activities undertaken, keeping track of moveable assets and planning their utilisation to optimum levels can be a challenge. This can lead to inefficiencies in operations which, as well as a financial downside, can negatively impact CO2 emissions.

A port such as the Port of Tyne may carry out the following (non-exhaustive) list of operations and vehicles carrying out operations:

  • Vessel operation
  • Cargo handling equipment
  • Locomotives
  • Trucks
  • Warehouse logistics
  • Lifting
  • Conveyor belts
  • Hoppers

An example of a logistical flow through the Port of Tyne is the importation of pelletised biomass on behalf of UK power stations. Biomass currently arrives into the port and is then either transported via a range of conveyor belts or a more traditional hopper and truck method.

There is currently some tracking of this process through RFID trackers on the hoppers and trucks, but the data has poor time resolution, and more real-time data collection and analytics are desired. 

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