Smart Facility Management: Digital Twin in Action

Challenge

The main challenge identified was the gap between raw hardware and operational utility. Specifically, the technical challenge of expert sensor deployment and its seamless integration with maintenance management.

• Fragmented digital-physical landscape: The disconnection between IoT platforms and maintenance management systems creates a fractured environment.
• Reactive vs. automated workflows: The absence of automated incident generation forces teams to remain in a reactive state. Instead of the system intelligently triggering a work order when a threshold is breached, the process stalls, relying on manual intervention to bridge the gap between a detected issue and a scheduled repair.
• Manual monitoring dependency: Relying on manual alerts for environmental deviations, such as temperature, humidity, and CO2 levels, is both risky and inefficient.
• Intangible impact metrics: There is a persistent difficulty in measuring the real-world impact of sensorization on efficiency and prevention. Without professional deployment and data benchmarking, it is challenging to quantify the ROI of the installation or prove how much "invisible" damage was prevented through proactive maintenance.

We wanted to demonstrate that a sensor should not be limited to providing information; it should trigger processes.

Solution

We succeeded in installing different kinds of sensors to completely transform the Aspor Engineering facilities to an intelligent building with the possibilities for predictive maintenance and personalized alerts. Sensors measure a variety of data points, for example, temperature, humidity, energy consumption, occupancy, air quality, fire and leak detection, waste management, and others. Thanks to the battery powered LoRaWAN sensors, no changes to the space electricity wiring have needed to be done to install them seamlessly.

Our team handles the end-to-end technical setup, translating high-level operational objectives into precise measurement parameters and optimized threshold limits. By leveraging LORIOT Verso, ASPOR ensured a seamless flow of data from the physical environment directly into their existing digital infrastructure.

When an incident is detected, the system triggers an intelligent response. Utilizing IBM’s AI orchestration capabilities, the platform automatically generates a work request within Aspor´s IBM Maximo infrastructure. This ensures every event is immediately assigned to the correct manager, providing full, automated traceability from the initial physical trigger to its final resolution.

Additionally to the data analysis and visualization the sensors and pre-analized data is seamlessly integrated and connected with ASPOR’s digital twin assets. With this middleware functionality we ensure the data is not an isolated point, but a direct update to the digital twin.


In this way, the digital twin stops being a static or merely documentary model and becomes a living model, fed by real data and directly connected to operations.

“The true value of IoT is not in visualizing data, but in triggering operational decisions. Integrating sensorization with our asset management system allows us to close the full cycle: data, analysis, and action.”

Pablo Reig - Development Manager, ASPOR Engineering

The Return

The first results show at an operational level:

• Early incident detection and reduction of response time.
• Elimination of manual alerts.
• Greater traceability and automatic documentation.
• Improvement in preventive planning.
• Analytical basis for decisions on comfort and energy efficiency.

From an ROI (Return on Investment) perspective:

• Risk reduction regarding prolonged deviations.
• Optimization of energy consumption.
• Improvement of workplace comfort.
• Scalability of the model to logistic-industrial assets.

The greatest return is not just economic, but strategic: converting maintenance into an autonomous system based on real events. Although the use case was conducted at ASPOR Engineering offices, the model is designed to scale to logistics, industrial, and tertiary assets managed by ASPOR for its clients.

Thanks to the digitization of maintenance and data-driven energy optimization, this project contributes to several United Nations Sustainable Development Goals:

“This project shows: When industrial scale and digital intelligence converge, efficiency and resilience is created. We at LORIOT Verso, together with ASPOR are happy to bring the real value of IoT in the asset management sector to life.”

Robin Wulfes - Vertical IoT Solutions Lead, LORIOT Verso