In the rapidly evolving world of construction and energy, technology is playing an increasingly pivotal role. A recent study published in *The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences*—known in English as the International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences—sheds light on the current state and future potential of terrestrial laser scanning (TLS) and mobile laser scanning (MLS) technologies. Led by M. Scaioni from the Department of Architecture, Built Environment and Construction Engineering (DABC) at Politecnico Milano, the research offers a comprehensive look at how these tools are transforming industries, including the energy sector.
Laser scanning technologies have become indispensable in various fields, from construction to energy infrastructure management. TLS and MLS, in particular, are at the forefront of this technological revolution. “The latest-generation sensors are equipped with advanced features that significantly enhance their capabilities,” Scaioni explains. For instance, TLS platforms now support data sharing during acquisition, which is crucial for collaborative projects. The integration of high dynamic range (HDR) imaging and multiple georeferencing options further improves the accuracy and usability of the data collected.
In the energy sector, the ability to accurately map and monitor infrastructure is critical. TLS and MLS technologies enable energy companies to conduct detailed surveys of power plants, wind turbines, and other energy facilities with unprecedented precision. This not only aids in maintenance and repair but also in the planning and construction of new projects. “The enhancement of point-cloud quality and the integration between range-measurement techniques are game-changers,” Scaioni notes. These advancements allow for more detailed and reliable data, which is essential for ensuring the safety and efficiency of energy infrastructure.
The study also highlights the role of artificial intelligence (AI) in the development of MLS technologies. AI-driven solutions are improving the efficiency and accuracy of data processing, making it easier to analyze large datasets quickly. Additionally, the development of long-range sensors and specialized solutions for forestry applications are expanding the potential uses of MLS in the energy sector. For example, these technologies can be used to monitor vegetation growth around power lines, reducing the risk of outages caused by falling trees or branches.
Looking ahead, the research discusses several aspects of technology foresight, including scan planning, accuracy evaluation, and the growing use of AI in data processing. One of the most exciting developments is the potential for multispectral LiDAR for terrestrial platforms. This technology could revolutionize how energy companies monitor and manage their assets, providing even more detailed and comprehensive data.
The study also includes a case study involving a complex historical building, which demonstrates the strengths and limitations of TLS and MLS approaches under specific survey conditions. This practical application underscores the importance of these technologies in real-world scenarios, highlighting their potential to shape the future of the energy sector.
As the energy sector continues to evolve, the role of advanced technologies like TLS and MLS will become increasingly important. The insights provided by Scaioni and his team offer a glimpse into the future of these technologies and their potential to transform the way energy companies operate. With continued advancements in AI, data processing, and sensor technology, the possibilities are endless. As Scaioni concludes, “The future of TLS and MLS is bright, and their impact on the energy sector will be profound.”