Optical fiber environmental monitoring utilizes NTT's existing fiber networks and is intended to capture new business in the field of social infrastructure monitoring. We will exhibit use cases (detection of underground cavities, detection of abnormal facilities, screening inspection of undersea cables, etc.) that serve as a starting point for expanding the use of fiber sensing with the aim of promoting the early introduction of optical fiber environmental monitoring.
We will introduce initiatives aimed at strengthening social infrastructure and creating resilient communities by leveraging disaster prediction technologies based on data analysis and underground screening technologies using satellites.
As data centers expand in size and number, electricity demand is expected to increase, leading to capacity shortages in transmission and distribution facilities. To address this, we have established a design methodology for accommodating power cables by utilizing existing telecommunications infrastructure. This includes evaluating thermal effects on telecommunications conduits (PVC) and assessing structural strength when implementing insulation measures within telecommunications manholes. Going forward, we aim to expand the method's scope of application by evaluating corrosion progression in telecommunications conduits (metallic) in areas prone to salt-damage. This exhibit will introduce our initiatives related to design technologies for power cable accommodation.
We have developed a technology that precisely identifies the locations of infrastructure assets captured in dashcam images-significantly reducing the need for on-site inspections and accelerating the shift from paper-based records to highly accurate digital ledgers. Conventional GPS data can have errors of up to 10 meters, making it difficult to reliably link dashcam images with infrastructure assets. Our technology overcomes this challenge by leveraging 3D data generated using 3D Gaussian Splatting (3DGS)*, enabling infrastructure assets-such as utility poles, road signs, street trees, and manhole covers- to be identified within 0.5-meter accuracy. This enables time-series inspection data to be continuously accumulated in a high-precision GIS environment. * Powered by Inria & Max Planck Institute
We will highlight technologies for identifying the installation status of underground utilities-essential for DX in social infrastructure maintenance. These technologies are expected to improve the efficiency of maintenance operations and prevent facility-related accidents through high-precision 3D management of the entire underground space, such as by expanding the survey coverage and information acquired in radar exploration and developing a model to estimate pipeline location information.
A rotating GPR system insertable into pole excavation holes has been developed for safe mechanized excavation in utility pole construction. The system enables the presence and position of buried pipes in narrow pole holes to be determined while excavating in stages. The verified prototype and validation results will be presented at the exhibition.
We will introduce an approach to combining diverse technologies to support cross-domain infrastructure management. We aim to expand maintenance technologies developed in the telecommunications domain to social infrastructure. To properly manage cross-domain infrastructure, technologies with different characteristics need to be appropriately integrated. In this exhibit, we will present the direction of our study aimed at improving the efficiency and enhancing the sophistication of infrastructure management by optimally combining technologies.
We will present materials chemistry simulations for evaluating the corrosion resistance of steel surfaces at the atomic level, aiming to reduce life cycle costs (LCC) by extending maintenance intervals of infrastructure steel structures.
As the maintenance and operation of offshore wind turbines will become increasingly important, we will present technologies for detecting blade damage without stopping operation.