Case Study
MARINE ANALYTICS INTELLIGENCE SYSTEM
PREDICTIVE ANALYTICS TO SUPPORT SAFER UK SEAS ALONGSIDE INCREASED RENEWABLES
As part of a UK Geospatial Commission backed initiative, and working with the General Lighthouse Authority (GLA), Emu Analytics have developed a Flo.w based digital twin (MANTIS) to analyse, visualise and predict how shipping and maritime supply chains may evolve within UK waters as a consequence of the anticipated expansion of offshore windfarms.
INSIGHTS ON DEMAND
MANTIS provides the ability to define and perform ondemand predictions for the impact to shipping movements from user defined offshore windfarms or obstacles
INCREASED EFFICIENCY
Centralised ship movement (AIS) data collection and processing enables different types of users and organisations to focus on their own particular use cases and insights
REDUCED OVERHEADS
MANTIS places powerful analysis, monitoring and visualisation capabilities into the hands of both technical and non-technical personnel - reducing the need for costly one-off analytics projects
THE CHALLENGE
COMPLEX BIG DATA DRIVING PREDICTIVE ANALYTICS
The UK is aiming for a significant expansion of off-shore wind farms with an ambition to become “the world leader in clean wind energy”. A three-fold increase by 2030 has been targeted by the UK Government.
This growing spread of turbines positioned across the coastline pose a challenge to shipping and maritime navigational services within UK waters. Maritime bodies such as The General Lighthouse Authority (GLA) and its sister organisation Trinity House, have communicated the need to better understand, and then predict, shipping patterns through UK waters in order to determine how plans for expansion in off-shore wind farms will influence existing shipping routes.
In parallel to these new obstacles, there is the planned introduction of Free Ports and virtual customs borders will continually alter behaviours of commercial shipping routes and maritime supply.
The primary objective of MANTIS was the foundations of a commercial grade solution that provides real-time monitoring, analysis and prediction of maritime traffic patterns in these ever increasingly complex sea spaces.
THE SOLUTION
REAL-TIME, HISTORICAL & PREDICTIVE INSIGHTS ON DEMAND
Working closely with the GLA as challenge sponsors, NLA International (NLAI) as blue economy advisors and ShipFinder as data partners, MANTIS was designed and built using Emu Analytics’ cloud-based Flo.w platform. MANTIS continuously analyses and visualises millions of vessel locations and movements, both historically and in real-time, from the Ship Finder network.
Using Emu’s innovative geo-spatial and machine learning techniques. it can perform predictions of changes to the future routes of ships if new user-specified obstacles are simulated. The solution places these powerful capabilities directly into the hands of technical and non-technical personnel alike, allowing them to rapidly analyse, understand and predict how UK shipping patterns may evolve as the marine landscape is planned and changed.
KEY FEATURES
KEY FEATURES
MANTIS delivers benefits from Flo.w’s rich visualisation and analytics features including:
- Hyper-performant web interface
- Real-time, high-volume analytics
- Predictive Analytics Job Manager
- Advanced 4D analytics engine
- Secure, cloud-based infrastructure
As offshore windfarms are a critical component of the UK’s renewable energy strategy for carbon Net Zero by 2050, it is crucial to assess their impact on shipping routes and navigational risk around the UK. Emu Analytics are developing outstanding and innovative capabilities that can be exploited by UK maritime authorities and UK industry in future toolsets and digital solutions
- Dr. Alwyn Williams - General Lighthouse Authorities of the UK & Ireland
Contact us today: info@emu-analytics.com
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