Offer TitleEnergy efficiency and asset resilience via AI monitoring and expertise
Organisation NameSamotics
Family NameHickmann
First NameThea
Accademic TitleMSc
Department / Section
Link to 'research gate' or equivalentsamotics.com
Keywordswater, wastewater, energy, carbon, maintenance
DescriptionAt Samotics we use artificial intelligence to offer a predictive maintenance solution for customers who wish to both eliminate unplanned downtime and energy waste of industrial electric motors. We therefore provide two solutions: SAM4 Health, which enables customers to predict in advance when their critical assets will fail, and SAM4 Energy, which leverages the power of IoT, algorithms and industry expertise to provide real-time insights on energy usage and generate clear energy efficiency actions and reductions. We can monitor equipment that most predictive maintenance and energy solutions cannot, due to our use of Electrical Signature Analysis (ESA). ESA allows us to installs our sensors away from the asset in the safety of the motor control cabinet which means that we can monitor all submerged equipment such as borehole pumps. Our solution is currently installed on a large scale at most major UK water companies including Yorkshire Water, Anglian Water, Severn Trent and many more.
Project DescriptionWe are looking for a water utility partner who would like to test our two solutions at their drinking or waste water facilities. In order to make sure that our predictive maintenance solution can appropriately display its value, we would look to design a project of minimum 100 assets - this could be spread accross multiple sites. The project will aim to reduce the overall carbon emissions from the most electricity-hungry assets at water utilities, as well as increasing overall asset resilience as a whole.
Opportunities for NetworkingPlease contact Thea Hickmann at theahickmann@samotics.com to have a more indepth discussion about our products and the potential project.