NotificationDiscover our collaboration with TNC, using edge AI to automate fisheries monitoring at sea. Read more
Tryolabs logo
Tryolabs logo
/customers/ses/ses.png
SES

Weather-related outages prediction

The time interval between the outage detection, its diagnosis and labeling, went from 20 minutes to less than 1 minute.

/logos/ses.svg
Founded
1985
Location
Global Company
Industry
Telecommunications

Effective outage prediction

SES delivers global content connectivity solutions and is one of the most important satellite operators in the world. SES was the first operator to deliver a differentiated and scalable GEO-MEO offering worldwide, with over 50 satellites in Geostationary Earth Orbit (GEO) and 20 in Medium Earth Orbit (MEO). We teamed up with them to build a MEO monitoring solution for the gateways and their customers' terminals.

95% reduction
in outage prediction time

Challenge

We were asked to implement intelligent methods for traffic control and rate limiting based on SES top clients' requirements, in the form of a Real-time Traffic Manager (RTM) application. As a network provider, this was a critical missing piece of SES global solution in order to ensure its customers have the best possible service at all times, regardless of the weather conditions.

challenge

Solution

With a predictive maintenance and a machine learning approach, now is possible to anticipate the outage, and manage it with the strategy that is best suited for the particular scenario. The system was deployed to be used in real-world production scenarios ensuring high quality Internet connections to SES clients.

challenge
approach

Discover our approach

The RTM was built in Python, using the Flask stack to provide a RESTful API that exposes configurations and real time data.

icon

Device connection

The app communicates with external services and uses networking protocols to talk to devices, from which it takes data used as input for the algorithms.

testimonial
Tryolabs' team was not only able to rapidly adapt to our own set of processes and culture, but to quickly grasp telecommunications concepts previously unknown to them.

They were responsible for the software layer of an important part of our solution, implementing agile methodologies, great technical skills, daily communication and even on-site visits to our offices.
Andre Christian
Andre Christian
VP Product Design and Engineering, SES

Interested in predictive analytics?

/customers/cfl/-cfl.png
Next case

<5%

error in predictions

/logos/cfl.svg