Railway Infrastructure Maintenance Analysis using Satellite Data. Advian analyzed soft areas along the railway, where the embankment moves more than usual. Excessive movement of the track embankment increases the need for maintenance activities, and during a renovation, such areas need to be stabilized.
Reducing tractors warranty costs with Machine Learning. As a major part of their product development process, Valtra the leading tractor manufacturer in the Nordics, wanted to cut field costs related to tractor warranty claims. We at Advian responded with a Machine Learning solution, that gives Valtra a part-by-part prediction of warranty costs.
Automating receipts accounting with Machine Learning. We streamlined the accounting of Ukko’s customers’ receipts using Machine Learning. The automatisation resulted in time and cost savings, as well as freed a team of accountants for other essential tasks.
Advian and Sharper Shape - to new heights with refined analytics.Sharper Shape is an international provider of automated drone and helicopter-based electrical network inspection services. Advian has been accelerating the company's strong growth from spring 2019 in various projects.
Algorithms for customer potential analytics. The Pharmaceutical Information Centre produces medical information and data management services for organizations in healthcare and pharmaceutics. We built a machine-learning based analytics solution used for customer segmentation and analysis in the sales of pharmaceutical products.
Accurate multi-sensor positioning with Edge Analytics. We designed and piloted crucial parts of next generation railway access control system to Fintraffic. The goal of the pilot was real-time, interference-free and accurate positioning on the entire Finnish rail network. In the pilot, satellite positioning was supplemented with inertia and stereo camera sensors.
Picture: Fintraffic
Advian has supported Fortum’s Nordic trading and asset optimisation unit (TAO) during 2022-2023 in their data and analytics development. With the help of reformed reporting and KPIs, Fortum is now able to assess their trading performance against the market, and use supporting analytics tools to get better optimisation results in the future.
Improving the detection of district heating leaks using AI. Advian develops thermal data processing to enable a full heat map of the district heating area, as well as using Artificial Intelligence and Computer Vision technologies to differentiate district heating leaks from other naturally occurring warm features in the city.
Streamlining customer connection process with Data Management. The connection process of Turku Energia’s new customers to their district heating system was made more efficient, reliable, and systematic. The renewed process adds transparency and saves time, costs, and improves the quality of their services.
Migrating customer and consumption data to Datahub. Along with the implementation of Datahub, all sellers and distributors of electricity were required to deliver customer and consumption data to Fingrid. We supported Elenia in the migration of data including data quality assurance, data analysis and ensuring system operations.
Testing and developing the national Datahub project. Fingrid is shaping the clean, market-oriented power system of the future. We supported and guided Fingrid in a large-scale data conversion project, where all Finnish electricity retail market actors switched to Datahub.
Detecting district heating leakages with satellite imagery. We analyzed Helen's district heating network leakages in the Helsinki area using satellite imagery.
Developing algorithms for 3D modelling and locating ground cables. We co-innovated new solutions with Caruna to collect ground cable location data and to store the exact location of the cable for future usage already during the installation phase, to enable efficiency and better quality in future maintenance activities.
Picture: Caruna
