2024
Portugal
The VeR project by REN revolutionises the presentation of grid infrastructure and their environmental constraints during field visits with the use of augmented reality (AR). The mobile application and complementing web application enhance project management, resulting in improved decision-making and increased stakeholder trust through clear, integrated visualisation of project impacts.
Highlights
01
Innovative use of AR technology for real-time visualisation of infrastructure projects and environmental constraints.
02
Field validation tests demonstrate the effectiveness and practical utility of the application.
03
Potential for broad applicability across different sectors and geographies, demonstrating the scalability of the practice.
Main Information
This project by Portugal’s TSO REN (Rede Elétrica Nacional, S.A.) addresses the complex challenge of visualising environmental and infrastructure data during site visits. Traditionally, these evaluations rely on a variety of sheets and maps, making it difficult to visualise the impact of new infrastructure. The project introduces a cutting-edge solution using augmented reality (AR) to streamline this process, particularly in support of Environmental Impact Assessment (EIA) processes.
The primary goal of this project is to enhance the clarity and efficiency of site visits for various stakeholders, including those involved in the EIA process. This is achieved through the development of a mobile application, called ‘VeR’, which utilises AR technology to present integrated visualisations of infrastructure projects and their environmental constraints. The app, compatible with both Android and iOS systems, enables stakeholders to view 3D rendered models of proposed infrastructure overlaid on their actual geographic locations. While the app provides an immersive AR experience during site visits, a matching web application ensures robust project oversight and user management. These innovative platforms ensure the stakeholder understand potential impacts, streamlining site visits and facilitating more informed decision-making.
The project is set for completion by September 2024, with final acceptance tests and training slated for August 2024. The potential for scalability is substantial, as the technology can be adapted for various sectors and geographical regions, supporting a wide range of infrastructure assessments.
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