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Danes back maritime IoT project

The Danish Maritime Fund has backed an Internet of Things (IoT) technology development pilot project led by Aalborg-based company GateHouse, which aims to use data collected from a variety of shipboard sensors to optimise vessel performance and provide information to authorities as required.

{mprestriction ids="1,2"}The Danish Maritime Authority and a number of additional partners, such as Logimatic and two Danish equipment manufacturers, will contribute to the testing of the new technology, as well as shipowners including Uni-Tankers.

The proposed system consists of a number of sensors that measure the condition of the ship’s equipment and record emissions. All the sensor-generated information is collected and continuously transmitted to shore in real-time, where stakeholders with access to the data can use the information for various purposes, including ongoing optimisation of machinery, more efficient maintenance, ongoing fuel consumption optimisation and continuous emissions monitoring.

The goal is to provide support both for Condition Based Maintenance for commercial marine companies as well as authorities looking to continuously monitor whether, for example, ships’ sulphur and NOx emissions comply with regulatory limits.

“In the near future, many ships will be on-line all the time, exactly as is already the case on land. This presents a business opportunity for innovative companies in Blue Denmark, and the Danish Maritime Authority wants to contribute to this by taking part in this pilot project,” said deputy director general Troels Blicher Danielsen from the Danish Maritime Authority.

“If we can simultaneously demonstrate that the technology makes it easier to continuously monitor ships’ emissions of, for example, sulphur, then it could be a big step towards more effective enforcement.”

The Danish Maritime Authority has already been working with a maritime Big Data project as part of the EU-funded project EfficienSea2, and says it intends to marry the experience gained from the new pilot project with elements of EfficienSea2.{/mprestriction}

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