TECH SPOTLIGHT
Industry Leader In Machine And Learning A.I to the UK Offshore Wind Industry Announces Further Round of Funding Support
One of the UK’s leading machine learning and applied A.I. providers to the offshore wind industry, Cognitive Business – has this month announced further investment in its industry-leading WAVES technology designed to enable highly accurate assessment of safe conditions for crew transfer.
The funding – which is being provided by multinational energy company RWE – will enable the integration of further data and decision-making support into Cognitive’s industry-first technology.
Designed to predict, with 99.9% accuracy, the safer and more successful windows for crew transfers to offshore wind platforms,
WAVES is already being used successfully on some of the UK’s largest windfarms, Rampion and Robin Rigg, both of which are owned and managed by RWE.
Speaking about the additional funding support, MD at Cognitive Business, Ty Burridge-Oakland said: “We have always had considerable support from RWE for our WAVES technology and are delighted that RWE is seeing value from the technology. This funding will enable us to look at additional types of offshore maintenance and inspection activity that will bring significant advantages to the offshore wind industry.”
These advantages will include providing data that will predict with real accuracy ocean conditions and the scheduling of additional
maintenance including diving for foundation repairs, blade work and inspections of turbines.
The updates to the WAVES technology will enable owners and operators to plot with real-time accuracy the operation of maintenance vessels in and out of harbour and – as such – will provide significant and additional savings to the offshore wind industry where 7-days of downtime, during high production periods, could result in upwards of £40,000 revenue losses on a single 3.6MW turbine.
Established in 2018, Cognitive Business is an industry leader in machine learning and applied A.I, developing a wide range of decision support, performance monitoring, and predictive maintenance solutions for offshore wind operations and maintenance applications.
July 2022
www.sosmagazine.biz 49
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52
