Unleashing the Kraken. A high voltage collaboration with IBM
How should we progress a few R&D ideas developed with clients and internal James Fisher domain experts? With their history in successful collaboration in industrial markets such as Oil & Gas, Offshore Wind, and Marine, IBM was chosen as a preferred development partner. As we began our initial collaboration, we were introduced to their Cloud Garage capability, which is designed to help businesses explore possibilities for using Big data, Artificial Intelligence (AI), and Machine Learning (ML) in a scalable environment to try to move them from proof of concept (PoC) to minimal viable product (MVP).
Watch the video https://ibm.co/3dOy3VO
The first stage was undertaking a large Design Thinking workshop with all of our key technology experts from across our group. As the result of that workshop, our Offshore Wind High Voltage business stood out as having the strongest value proposition in terms of being able to articulate what the high-voltage offshore wind industry’s needs and pain points were. Thus, Kraken was born (our project name, chosen because of the Kraken-like nature of windfarm cables seen from above) came into being as a means of applying data science techniques to problems encountered in high-voltage monitoring and predictive maintenance for offshore wind.
It has been envisioned as a system that combines not only the condition monitoring aspects of the SCADA and sensor feeds from the wind farm, but also includes a 4D component that looks at monitoring over time to determine the rate of development of anomalies within the high voltage (HV) systems and help plan interventions. By adding in weather windows from Mermaid (another cutting edge product we have in our portfolio) and manifest building and routing optimization from OWMS (our marine management system), Kraken was to allow for cradle-to-grave planning and execution of offshore operations in a way that used data science to drive efficiencies into the O&M cycle. Combined with R2S (our award-winning digital twin system), it can also provide the visual asset management and level of data continuity and evergreening maturity throughout the entire lifecycle of the asset, provided the data and documentation are available.
The collaboration with IBM, that began with the design thinking workshop, culminated in 12 weeks spent in London with IBM’s Data Elite team, during which Kraken was worked on for prototyping and proof-of-concept, and concluded with the making of the video and presentation at the IET conference hosted by EDS in London in November of 2019, where the Kraken concept was presented to an audience of offshore wind industry clients and participants. The interest in the tool expressed at that event as well as in internal workshop formats with industry representatives from SSE, EDF, Vattenfall, TenneT, and others cemented interest in the idea.
The next stage of our collaboration with IBM is engagement with all of the major offshore wind developers to further build on the initial concept of Kraken – and to prove out the value propositions and return on investment models.
We envision a future where our suite of leading edge, modular applications (Operational Modelling - Digital Twin – Marine Management – Structural Foundation Monitoring, and HV Cable monitoring) constitute the methodology of choice to drive efficiency and profitability into the Offshore Wind market as it grows and further matures over the coming 10 years.