Overview
MindOpera is a comprehensive facilities information management system that unifies, analyses and optimises all energy and maintenance data in a single environment, converting them into actionable intelligence and providing a comprehensive, real-time view of performance across entire building portfolios.
This innovative tool, created by the BEE Group—the Innovation Unit in Building, Energy and Environment at CIMNE— is the core engine of Infraestructures.cat Data Orchestrator (l’Orquestrador) and of the Energy Monitoring System (SIME) of the Catalan Energy Institute of the data orchestrator of the Catalan Energy Institute (ICAEN).
More than 11,000 buildings of the Government of Catalonia currently operate with a high level of supervision and energy efficiency thanks to MindOpera and its extensions through SIME (ICAEN) and the Orchestrator of Infraestructures.cat.
Through this integrated approach, the platform enables large-scale comparison of operational indicators, rigorous evaluation of real energy performance, and verification of implemented efficiency measures. It also supports predictive, data-driven operation models and continuous supervision of energy supplies, maintenance workflows, and renewable self-consumption systems. In parallel, it optimises maintenance management processes and provides valuable technical support for the preparation and monitoring of new tenders.
Beyond its proven application in public building portfolios, this tool also offers significant added value for large-scale infrastructures and private asset portfolios. These environments face similar challenges: the need to supervise multiple heterogeneous systems from a centralised platform, optimise energy consumption across diverse assets, reduce downtime through predictive maintenance, and ensure contract performance monitoring with full operational transparency.
MindOpera addresses these demands by harmonising operational data, generating portfolio-level KPIs, and enabling predictive, efficient management at scale — transforming complex infrastructure into intelligent, data-driven environments capable of delivering measurable performance, resilience, and sustainability.
Energy Efficiency and Maintenance in Ports
MindOpera is currently deployed in large public building portfolios and is designed to operate in complex, multi-asset environments. When applied to port infrastructures, it enables centralised governance, operational intelligence, and predictive maintenance across highly heterogeneous systems.
Ports are far more than single facilities; they function as fully fledged energy ecosystems. Within a single port environment, terminals and warehouses operate alongside industrial refrigeration and cold storage installations, pumping and hydraulic systems, and large-scale exterior lighting networks. Increasingly, these infrastructures also integrate photovoltaic systems for self-consumption and are undergoing progressive electrification processes. At the same time, ports manage multiple parallel energy contracts and operate as 24/7 critical infrastructures.
MindOpera provides a unified operational layer across this ecosystem:
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- System Configuration: Integration of BMS, SCADA, IoT devices, CMMS platforms, photovoltaic systems, and metering infrastructure into a single harmonised data architecture.
- Real-Time Operational Intelligence: Continuous processing of energy, maintenance, and performance data to detect deviations, inefficiencies, and anomalous behaviour.
- Predictive Maintenance and CAPEX Protection: Longitudinal performance analysis, objective validation of interventions, and prevention of premature equipment replacement.
- Multi-Contract Supervision: Cross-provider KPI benchmarking, SLA tracking, anomaly recurrence detection, and transparent performance evaluation.
In critical 24/7 infrastructures, maintenance quality directly impacts resilience. MindOpera ensures operational continuity, objective governance, and data-driven investment prioritisation.
Features
Heterogeneous Data Orchestration
Integration of BMS, SCADA, IoT, CMMS, photovoltaic, and contractual data into a unified semantic model.
Portfolio-Level KPI Benchmarking
Homogeneous performance indicators across terminals, operators, and assets.
Predictive Maintenance Intelligence
Early anomaly detection and longitudinal performance analysis to anticipate failures.
CAPEX Protection and Asset Lifecycle Optimisation
Continuous historical traceability independent of maintenance provider changes.
Multi-Operator Contract Supervision
Objective SLA monitoring, response-time tracking, and post-intervention validation.
Scalable Modular Cloud Architecture
Progressive integration of new assets and systems without re-engineering existing infrastructure.
Applications and Societal Benefits
Large-Scale Energy Governance
Centralised monitoring of decentralised port assets with objective benchmarking across terminals and operators. Enables data-driven investment prioritisation and energy strategy planning.
Photovoltaic Self-Consumption Monitoring
Real-time performance tracking of PV assets, validation of production KPIs, and support for subsidy justification.
Industrial Refrigeration and Cold Chain Optimisation
Continuous monitoring of refrigeration systems, performance validation, and detection of efficiency losses that directly impact operational costs.
Multi-Company Maintenance Coordination
Independent transversal supervision across multiple contractors, reducing contractual conflicts and increasing transparency.
Pumping and Hydraulic System Supervision
Operational diagnostics and anomaly detection in water, fuel, and auxiliary pumping systems to prevent service disruption.
24/7 Critical Infrastructure Resilience
Failure anticipation, reduced downtime, and improved operational continuity in high-availability port environments.
Contact Us
Interested in learning more about MindOpera or exploring how this platform can optimise energy performance and maintenance management across your infrastructure portfolio?
Our Technology Transfer Unit is ready to discuss how MindOpera can be adapted to your operational environment and support data-driven, resilient and efficient infrastructure management.