The Industrial optimisation and productivity Sphere targets industrial environments, improving efficiency, automation, and productivity through CEI technologies.
Discover related use cases
The use of 5G or WIFI (provided by the 5G modems deployed) IoT sensors or cameras can be deployed in some vineyards for Agricultural experiments.
Cluster 4: Smart Vineyards & Sustainable Winery Ecosystems
This use case utilises a FIWARE-based IoT tool to improve winery efficiency by monitoring Overall Equipment Efficiency (OEE).
Cluster 4: Smart Vineyards & Sustainable Winery Ecosystems
This use case utilises satellite optical remote sensing and data analytics to enhance Water Use Efficiency (WUE) in agriculture.
Cluster 4: Smart Vineyards & Sustainable Winery Ecosystems
This use case focuses on logistics, maintenance, and recycling of reusable IoT sensors within the wine value chain, promoting sustainability and operational efficiency.
Cluster 4: Smart Vineyards & Sustainable Winery Ecosystems
Smart JIT logistics leverage AI algorithms and real-time IoT data for route optimisation and advanced tracking.
Cluster 3A: AgriTech Transformation and Sustainability Initiative (ATSI)
A secure data framework utilizing encryption and blockchain technology safeguards data integrity and security throughout the agricultural value chain.
Cluster 3A: AgriTech Transformation and Sustainability Initiative (ATSI)
Autonomous UGVs with AI-powered edge processing are used for precision spraying and pest control.
Cluster 3A: AgriTech Transformation and Sustainability Initiative (ATSI)
This use case utilises IoT sensors, including plant wearables, for real-time monitoring of environmental conditions and crop health.
Cluster 3A: AgriTech Transformation and Sustainability Initiative (ATSI)
This use case will act as the integration platform for UC#1.1 through UC#1.3, uniting their data and analytics streams for customers.
Cluster 1: Business Integration in Mining
Ensuring uninterrupted material flow and logistics is vital for mining operations, particularly where limited or no stockpiles exist to buffer against unplanned downtimes within the logistics chain.
Cluster 1: Business Integration in Mining
This use case addresses the monitoring challenges of critical infrastructure and logistics.
Cluster 1: Business Integration in Mining
This use case focuses on large-scale micro-seismic sensing, data collection, and processing for underground mining.
Cluster 1: Business Integration in Mining
This use case is related to touristic resorts. It enables hotels, restaurants and ski resorts to optimise their energy consumption.
Pilot 8: Heightened social engagement and acceptability of energy flexibility in urban areas
This use case focuses on charging stations for electric vehicles (EVs). It enables EV owners to optimise vehicle charging through smart contracts, and new business models.
Pilot 8: Heightened social engagement and acceptability of energy flexibility in urban areas
Deals with flexibility applications that enable DSOs to ensure Grid stability and LECs to optimise their consumption costs and minimise their dependence on DSOs.
Pilot 8: Heightened social engagement and acceptability of energy flexibility in urban areas
This use case incorporates security measures, data sovereignty, and auditing to ensure trustworthy data flows from sensors and EVs.
Pilot 7: Trustworthy and secure EV charging upon reliable 5G networks
Transforms chargers into “intelligent” bidirectional elements, optimising grid power flow through O-CEI micro-services data management, and 5G’s low-latency, ensuring efficient load balancing and reduced environmental impact.
Pilot 7: Trustworthy and secure EV charging upon reliable 5G networks
The tractors in this pilot will optimise battery charging through edge analytics and AI predictions, either autonomously or via a farmer-controlled app, minimising battery use, extending lifespan, and reducing costs for improved sustainability.
Pilot 6: Smart re-charging and efficiency of robot tractors in large fruit production fields
The O-CEI AI-block will optimise agricultural tasks in kiwi plantations, using state-of-the-art models for efficient operations and route planning, with real-time data storage and semi-autonomic management.
Pilot 6: Smart re-charging and efficiency of robot tractors in large fruit production fields
The O-CEI platform will offer tools to be integrated in the Zetrack app and provide farmers with energy optimization suggestions, managing fleet, climate, and location data.
Pilot 6: Smart re-charging and efficiency of robot tractors in large fruit production fields
Aggregates energy consumption data across the farm-production chain, to calculate batch-level energy and environmental footprint.
Pilot 5: Energetically and environmentally sustainable Halloumi cheese production
Optimises cheese production energy sources (grid, solar) based on demand, availability, and price.
Pilot 5: Energetically and environmentally sustainable Halloumi cheese production
O-CEI mechanisms and marketplace will securely share trusted farm data such as milk quality, feed mix, and energy footprint, using AI to forecast parameters, optimise energy consumption, and improve production practices with secure data management.
Pilot 5: Energetically and environmentally sustainable Halloumi cheese production
Optimises energy use in livestock stables while reducing animal heat stress, using IoT sensors for environmental monitoring, livestock behaviour assessment, and HVAC control.
Pilot 5: Energetically and environmentally sustainable Halloumi cheese production
The O-CEI platform will integrate energy flows from berthed vessels, using decentralised monitoring, IoT, and cybersecurity utilities to minimise blackouts and optimise energy control.
Pilot 4: Variable demand in challenging maritime terminal landscape
This use case analyses the power infrastructure, the control and communication infrastructure, and the various communication protocols.
Pilot 3: Energy consumption and emission reductions in postal service fleet operation
It leverages AI utilities from the O-CEI marketplace to optimise EV powertrain efficiency, minimise carbon footprints.
Pilot 2: Software Defined Vehicle for VaS in Urban Areas
Enhances vehicle safety with AI-driven system monitoring, OTA updates, advanced cybersecurity, and real-time technologies
Pilot 2: Software Defined Vehicle for VaS in Urban Areas
Proactive scheduling for appliances like electric water heaters and space heaters, will enhance grid capacity and user comfort using edge computing and robust connectivity.
Pilot 1: Electric Grid performance optimisation upon RES integration
IoT gateways and secure O-CEI utilities empower users to monitor energy use and promote grid flexibility.
Pilot 1: Electric Grid performance optimisation upon RES integration
Synchronising renewable energy for household appliances and EVs ensures comfort and charging availability.
Pilot 1: Electric Grid performance optimisation upon RES integration
Seasonal demand patterns are optimised with renewable integration and decentralised learning models.
Pilot 1: Electric Grid performance optimisation upon RES integration
Sensor data and smart controls dynamically manage heating for energy efficiency using edge computing.
Pilot 1: Electric Grid performance optimisation upon RES integration
Prosumers and flexumers to trade energy to optimise consumption and store excess energy using AI-driven tools.
Pilot 1: Electric Grid performance optimisation upon RES integration