A new smart predictive maintenance system for street lighting systems will enable integration of multiple data sources and their real-time processing by tapping artificial intelligence algorithms to help generate predictive recommendations, identify abnormalities, anticipate faults and prescribe maintenance tasks.
The platform, which has been developed as part of the Predalin project led by Sociedad Española de Construcciones Eléctricas (SECE) with input from the Eurecat technology centre, will furnish managers with information based on performance, cost and location criteria to simplify assessment, traceability and optimisation of key parameters.
“Against the backdrop of today’s fourth industrial revolution, Predalin delivers modelling and analytical techniques to interpret and combine large amounts of data which helps decision-making and improves production, storage and, in this case, predictive maintenance processes,” says Fatima Daoumi, head of the Predalin project at SECE and a big data analyst. “SECE is continuing to lead the way in new technologies applied to street lighting management and adding value to municipalities.”
Predalin leverages “the competitive advantages artificial intelligence brings through optimal use of energy and human resources coupled with incident management which anticipates events, thereby extending the useful life of assets and ramping up the service quality of lighting systems,” adds Xavier Domingo, director of the Applied Artificial Intelligence Unit at Eurecat.
“Bearing in mind the rising cost of energy and raw materials, it’s crucial for companies’ competitiveness to have recommendation and optimisation systems in place which make it possible to harness available data to maximise efficiency throughout the value chain of products or services, for instance in this case for street lighting in our towns and cities,” points out Jesús Boschmonart, Eurecat’s Business Manager for the Resources, Energy and Construction markets.
The Predalin project is funded by the Ministry of Science and Innovation’s Red Cervera call.
