<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-08-26T13:36:10Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/15C55712-F590-42E9-9B0C-9F250503ABE6" ns1:id="15C55712-F590-42E9-9B0C-9F250503ABE6"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/4AF7FEC0-17D7-48F0-9BD4-48A495BE9DA8" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/BB643D52-0529-4704-AD29-D4272A803CB6" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/B2829B1F-93DE-47EF-A704-8DF1FBCEDFA6" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/6757DCBD-3A34-456A-953D-DF593C49F977" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/17112E81-393D-4F07-A97A-88C8D1F5E702" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/BB643D52-0529-4704-AD29-D4272A803CB6" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/976D0A0D-357E-40E1-A9C3-E5329C198C2E" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/D9E2F69B-E694-49DC-B660-E0AA6C7A28E8" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/73A03527-BD50-4AC5-9F6A-A82CE701E5A4" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2016-12-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/4106EC3E-48FC-40B4-B139-E868AB5D3693" ns1:rel="FUND" ns1:start="2015-01-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">101983</ns2:identifier></ns2:identifiers><ns2:title>Project IConIC (Intelligent Condition monitoring with Integrated Communications)</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Project IConIC (Intelligent Condition monitoring with Integrated Communications) will develop a revolutionary system that provides accurate prediction for vessel performance and operation. It represents a step-change in the marine industry, through linking autonomous measurement systems to existing maritime satellite communications. 
The performance of marine engines used for propulsion and power generation has a significant impact on efficient vessel operation. Inefficient/failed engines on large vessels can cost their owners &amp;pound;millions. In response to this, STS Defence, a Gosport based SME, has gathered together a strong consortium of companies and academic partners to develop an automated 'machine to machine' and ship-to-shore data exchange capability, increasingly described as the 'internet of things'.</ns2:abstractText></ns2:project>