The BEE Group leverages decades of expertise in research, innovation, and technology transfer in green energy to deliver cutting-edge, open-source solutions specifically designed for communities and public authorities.

Maximizing Efficiency and Savings in Public Buildings

BEEMind is a comprehensive digital environment where artificial intelligence (AI) helps address current climate and energy challenges. More than a centralised data repository, BEEMind is a solution for digitalizing heterogeneous data of different natures to analyse, plan, and optimise the energy and environmental behaviour of buildings and cities.

As a one-stop platform, BEEMind empowers municipalities, organizations and communities to achieve more efficient energy management based on real data and key insights. This spearheads progress toward zero-emission cities and buildings.

BEEMind is based on an open-source platform, offering a flexible structure by delivering two specialized solutions:

• • MindCity, for municipalities and local governments: enables visualization of climate vulnerability maps, identification of solar installation opportunities, and informed decision-making in energy rehabilitation.
  • MindOpera, for intelligent building management: helps control energy consumption, anticipate failures, and improve maintenance throuhg data integration and automated analysis.

MindCity is a digital tool tailored for city councils, local consortia and public administrations that need to take informed strategic decision on energy, building rehabilitation, and climate resilience.

The MindCity solution allows for seamless integration and visualization of urban and social data filtered by territory, building or area, which facilitates global climate action.

Local and business leaders can use MindCity as a one-stop management tool for public or private buildings, developing efficient actions for decarbonizing critical infrastructure.

• • Regional governments
  • Supramunicipal administration and consortia
  • Digital and energy promotion networks and entities
  • Town and city governments
  • Community transformation offices
  • Technical teams of medium and small city councils

Public climate policies require integrated, reliable and easily visualisable data. Mind City digitises and harmonises energy and territorial information to facilitate strategic decision-making with a direct impact on sustainability and efficiency.

Massive data integration

• • Collection of energy consumption, sensor, equipment and public source data (DEXMA, Modbus, BACnet, meteorology, etc.).

Territorialised visualisation

• • Clear and interactive dashboards with maps, indicators, scenarios and simulations.

Automated and scalable analysis

• • Real-time and batch logical processes with an architecture based on microservices and technologies such as Kubernetes, Kafka and Neo4j.

Grant justification

• • Helps to identify objectives, justify actions and demonstrate impact when applying for public funds.

Vulnerability Map: Detect vulnerable areas with solar and thermal radiation.

Energy Rehabilitation of Buildings: Identify and prioritize buildings with the greatest needs throughout the city.

Vegetation Index: Define and plan green areas for more climate-resilient cities.

• • Data harmonization with sectoral ontologies (SAREF, BIGG…)
  • Specialized databases:

Neo4j for institutional relationships and geolocation
HBase for raw data
InfluxDB for time series

• • Intelligent processing:

Outlier detection
Rehabilitation and photovoltaic scenarios with AI
Generation of KPIs (avoided CO₂, PR, self-consumption, equivalent households…)

• • Scalability and interoperability
  • Deployment in Kubernetes with modular architecture
  • Compatible with open standards and data export in georeferenced formats
  • Designed for progressive, flexible and replicable adoption

MindOpera is a modular platform designed for public and private building managers, supporting multiple data sources and operating systems. It harmonises, integrates and analyses consumption, maintenance and generation data in real time, using artificial intelligence models to optimise operations and anticipate incidents.

Public Administration and Institutions

• • Teams dedicated to heritage, energy and infrastructure maintenance
  • Medium and large city councils, especially those looking to transition to smart buildings
  • Local consortia, provincial councils and supramunicipal entities with centralised services.

Critical Infrastructures and Public Facilities

• • Hospitals and health centres
  • Universities and educational centres
  • Cultural, sports, and administrative facilities

Private sector with a portfolio of buildings

• • Maintenance companies and energy services
  • Business park or industrial estate managers
  • Administrators of properties and office buildings

• • Reduces supervision time and human errors
  • Improves service continuity and anticipation of failures
  • Optimises energy efficiency at portfolio scale
    
  • Offers interoperable communication with existing management systems

• • Real-time data ingestion via industrial protocols such as Modbus, BACnet and SCADA.
  • Integration with platforms such as DEXMA and CMMS systems.
  • Automatic harmonisation and generation of operational indicators (self-consumption, PR, CO₂…).
  • Predictive maintenance and anomaly detection
  • Visualisations adapted to each infrastructure and building portfolio

• • Infraestructures.cat data orchestrator for over 10,000 buildings
  • SIME-ICAEN system: monitoring of energy savings of the Government of Cataloni
  • Aggregated supervision by maintenance companies and public consortiaCIMNE was honoured with the 2010 AINE Award in recognition of its innovation in the naval sector. The award is promoted by the Spanish Association of Naval Engineers (Asociación de Ingenieros Navales de España), AINE.

Mind Opera is based on a modular cloud architecture that combines orchestration with Kubernetes and real-time data ingestion with Kafka, as well as specialised databases such as HBase, InfluxDB and Neo4j. This infrastructure enables data from multiple systems (BMS, SCADA, sensors, etc.) to be integrated and harmonised, while artificial intelligence (AI) is applied for predictive maintenance, anomaly detection and the generation of operational indicators. This framework offers both high scalability and interoperability.

The International Centre for Numerical Methods in Engineering was accredited as a ‘Severo Ochoa Centre of Excellence’ by the Spanish State Research Agency (attached to the Spanish Ministry of Science, Innovation and Universities) for the period 2019–2023.