LISDATA completes 0ACCIDNTES, the project that turns construction-site data into real-time prevention

The 0ACCIDNTES consortium, led by FCC Construcción and made up of the business partners BECSA, FRACTALIA, METALICAS PLÁSTICAS JAR, ALISYS, IDP, LISDATA Y SIGNE, with the collaboration of the technology centres ITA, CETIM and AIMPLAS and the support of the Spanish Construction Technology Platform (PTEC) and INCOTEC as an external R&D&I consultancy, has brought to a close the project “Research into new technologies for safety and health in construction with ‘0 Accidents’”, funded by the Centre for the Development of Industrial Technology (CDTI) under the CIEN Strategic Programme.

The project began in 2022 and concluded in the second quarter of 2026.

The project’s overall objective was to develop a comprehensive cognitive ecosystem for the real-time monitoring and prediction of hazardous situations affecting the safety and health of 21st-century construction workers, by conducting research enabling the collection, interpretation, digitisation, and intelligent, automated management of information generated in different construction environments, based on state-of-the-art sensor systems, autonomous robotic systems, cyber-secure connectivity ecosystems, and various artificial intelligence components.

To this end, the project was divided into two milestones, covering a total of 6 technical activities. The first milestone comprised four activities: defining and developing the sensor system to capture information relevant to occupational risk prevention in construction environments, as well as the required communication and security methods. Research into diverse, multipurpose technological solutions to predict hazardous situations or accident risk, and defining the requirements and architecture of the digital twin.

During the first milestone, technologies aimed at improving safety in construction environments were developed and validated, including smart PPE with fall-detection and location capabilities, computer vision systems for risk monitoring, and low-power IoT communications. Integrating these elements makes it possible to improve the detection of hazardous situations and increase the accuracy of triggering preventive protocols. In addition, a blockchain-based digital identity management system (EBSI) was implemented, CFD simulations were carried out to analyse diesel emissions and optimise tunnel ventilation, and data generation was promoted to train more robust models.

Finally, the design of the ICT architecture for the digital twin and its preliminary interfaces was completed, integrating BIM-GIS models, real-time data, and visualisation tools that facilitate continuous oversight of safety conditions and preventive decision-making.

The second milestone covered the research and development of the information management platform, the construction of prototypes and their validation in controlled environments, in order to assess the level of accuracy achieved.

The 0ACCIDNTES platform was designed as the project’s integrating core, coordinating communication between the different developments based on advanced sensor systems, deployed in two complementary use cases for the final tests: building construction, with work at height, and tunnels, with work in confined spaces.

In building construction, more specifically in the New Alicante Hospital research building by Becsa, a quadruped robot with cameras and LiDAR was developed which, based on generating maps of the environment, plans and executes autonomous inspection missions, incorporating an AI layer that assesses the condition of collective protection measures and detects risk situations due to their absence or deficiency. It is complemented by smart PPE, an instrumented helmet and harness, which provide direct data on the worker and their exposure to risk. In the tunnel, more specifically in the Tenerife Island Ring Closure works by FCCCO, construction machinery was equipped with sensors, specifically a concrete mixer truck, to detect machinery and people in its surroundings, predict their trajectories, and generate risk maps and alerts for collisions and run-overs, together with virtual sensors for measuring and diagnosing air quality.

All this information converges into a common flow: data and alerts are certified via blockchain and sent to the Data Lake, from which the platform retrieves them for evaluation by prevention technicians, displaying them on digital twins that provide context and facilitate spatial interpretation.

The prototypes were validated through successive test campaigns in controlled construction-site environments, following an iterative approach across three test levels: initial, intermediate, and final. The intermediate tests were a key and necessary transition from prior technical tests to the final ones, carried out in a 74-home residential building in Tres Cantos and in a central machinery yard, both belonging to FCCCO.

Each validation cycle confirmed the technical feasibility of the solutions and identified areas for improvement that were translated into adjustments to the developments. The final campaigns demonstrated the ecosystem’s integrated operation under representative operating conditions, verifying interoperability between devices, the platform, and the Data Lake, as well as the correct performance of the localisation systems, autonomous navigation, risk monitoring, and alert generation.

In short, 0ACCIDNTES has concluded successfully, meeting the objectives initially set out, with the result of enhancing and ensuring workers’ safety and health through the application of cutting-edge technologies for the early detection of occupational risk situations, while also contributing to reduced occupational accident rates across the entire value chain and increased business competitiveness.