USE CASE
MARITIME ANALYTICS

WHY MARITIME ANALYTICS?

The Maritime Industry is facing a decade of challenges. Changes in environmental regulations, de-carbonization of shipping, and geopolitical instabilities have a large impact. Illegal, Unreported, and Unregulated (IUU) fishing remains a huge problem. After many years of decline in maritime piracy, a rise is expected again as a result of the global economic crisis.

On the upside, there are large opportunities driven by technological innovations. Terrestrial and Satellite Automatic Authentication System (AIS) are augmented with dynamic AIS to track and monitor vessels. Satellite image surveillance revisit rates are increasing together with improved resolution and detail. Weather monitoring and forecasting is increasingly more accurate as well. And Big Data technologies are available to fuse, analyze, and visualize these different data sources for increased situational awareness, improving maritime efficiency and safety.

REFERENCE CASE MARITIME BIG DATA ANALYTICS

Learn how the xyzt.ai platform is used to monitor and analyze the entire coast and inlands waters of the USA.

xyzt.ai visual analytics interface to analyze multiple billions of AIS location records.

HOW IT WORKS

xyzt.ai is a cloud SaaS solution that handles the entire chain from data ingestion to insight generation. The analyst uses the platform to define Data Sources and Data Sinks. The data sources are the input data, such as CSV files of logged AIS records. Or pushed data updates through the REST API. These CSV files can contain multiple millions or even billions of rows where each row represents the location (x,y,z) of a vessel at a specific time (t). In addition, tens or hundreds of columns can be ingested that define additional properties such as Speed over Ground (SOG), Course over Ground (COG), Cargo, Vessel Type, Status, and more.

Data sinks are end points of the data pipeline that define how the data is represented and handled in the platform. Data sinks can be Gridded analyzing aggregated density over time, or Trajectories to analyze the movement of (multiple individual) trajectories.

Given the data sources and sinks, the platform computes highly efficient data representations that drive a number of benefits for the analyst: Efficient storage, quick aggregation at all scales, fast visualization, and interactive analysis.

Why choose xyzt.ai?

With the xyzt.ai platform, the Maritime Data Analyst can finally handle multiple billions of records and still maintain interactive update rates. This means the analyst can look at vessel traffic over global regions as well as over multi-year time periods. In addition to querying, filtering, and visualizing the data, the platform provides advanced analytics capabilities such as detecting which vessels meet at high seas.

As an example, the Bureau of Ocean Energy Management (BOEM) and the National Oceanic and Atmospheric Administration (NOAA), provide historic AIS data sets for the entire coast and inland waters of the USA. For one year, it is provided as 216 compressed ASCII csv files, totaling around 3 billion location records.

These files are directly uploaded to the xyzt.ai platform for data input to the Gridded and Trajectories sinks. Once the data is uploaded and processed, the analyst uses the Visual Analytics tool to visually inspect the data. There is no significant latency in obtaining the visualization and analytics results. At all scales: from overview level, to detail level.

This Visual Analytics tool provides capabilities to filter the data in space, time, and attributes, and allows for comparison analysis in split views, split timelines, and so on. Dashboards are interactive and provided for the different attributes and their distributions. At all times providing the analyst a full picture of the situation.

ROI FOR THE MARITIME ANALYST

1

No more down-sampling or reduction of data with the risk of loosing the needle in the haystack. Instead, analyze the original maritime location data in its entirety, covering large regions and long time periods. To gain full understanding of the current and past Maritime picture.

2

Focus on finding your insights benefiting from the most powerful Big Data visualization and analytics tools. Away with having to implement your own cumbersome algorithms, data analysis pipelines, and data visualization components.

3

Use xyzt.ai not only to analyze and find insights, but also to report and disseminate your findings, with your co-workers, or with a wider audience. Straight from the platform with shareable links and beautiful and meaningful interactive reports.

FOR WHOM?

  • Maritime Data Analyst – finally be able to analyze large maritime data sets
  • System Integrator – build solutions and systems for Maritime Agencies and Port Autorities to handle large maritime data sets

PRODUCTS USED

  • 1 xyzt.ai at-scale license
  • up and running in less than 1.5 hour