Aratubo – Energy Efficiency and Processes Aratubo Sector: Industry Business Case Predict the energy consumption of the six different production lines associated with each manufacturing family. The problem is that we currently only have energy consumption per ton of pipe manufactured and per line. The challenge is to associate the energy consumption of each of […]
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Ariadna Grid – ARIADNA Connectivity Algorithm: Automatic Detection of LV Grid Topology Ariadna Grid Sector: Energy Business Case How can the low voltage (LV) grid topology be calculated using an AI? The connectivity of each meter with the corresponding transformer station, panel, line, and phase must be identified based on the recorded currents from the
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Cardiva – Demand Forecasting and Logistics Optimisation Cardiva Sector: Health Business Case Cardiva is a company in the healthcare sector. Among other products, it manufactures single-use packs for operating rooms. Thanks to the digitisation of the demand management process, Cardiva has been able to service its business model and commercialise these packs under a pay-per-use
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Ceit – MIRAGED: Strategic positioning in virtual models and digital twins for industry 4.0 Ceit Sector: Manufacturing Business Case Digital twins to optimise the operation of industrial manufacturing processes Objectives Development of virtual twins of product-focused hot forming and heat treatment industrial processes incorporating real-time data models and advanced metallurgical models. Use case Prediction of
Data Value Management – Prediction and Reduction of Micro-Stops Data Value Management Sector: Industry Business Case The challenge is to develop a system capable of detecting the primary causes that provoke a large number of micro-stops in the different production lines of a company, in order to reduce their occurrence. Additionally, a secondary system is
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GHI Smart Furnaces – Automatic loading point in tilting rotary furnaces GHI Smart Furnaces Sector: Industry Business Case It is a GHI Smart Furnaces initiative aimed at optimising the charging process in rotary aluminium smelting furnaces by implementing advanced machine learning and automation technologies. One of the challenges related to the optimisation of productivity and
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HUPI – Energy Consumption Prediction and Behavioural Modelling of an Entity HUPI Sector: Industry Business Case Automatic energy demand prediction for the next period of time (12 months?), with a precise level of granularity: it predicts the level of energy consumption that each specific customer or building will need in the next day/week/month. Objectives Estimate
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HUPI – INGURU PREDICT Evaluation and prediction of the impact of port activities on environmental indicators (turbidity, chlorophyll, hydrocarbons) based on satellite images. HUPI Sector: Mobility Business Case How can we assess the impact of port activities on the marine ecosystem dynamically and in real time, in order to reduce marine pollution, taking into account
Ikerlan – Federated Models for Predicting the Evolution of ICU Patients Ikerlan Sector: Health Business Case The company currently aims to deliver technological solutions for the healthcare sector, focusing on two main aspects: first, developing predictive models for assessing ICU patient outcomes (improvement, exitus, etc.); and second, implementing these models within a Federated Learning framework
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Inzu Group – Predictive Maintenance of Railway Diversion Elements (SMART DIVERTER) Inzu Group Sector: Mobility Business Case Railway diversions are crucial components of the infrastructure and are significantly impacted in their regular operation. Additionally, the construction material, manganese steel, while noble, tends to develop cracks in hidden areas and is resistant to traditional inspection methods,
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