{"id":28740,"date":"2025-06-26T14:43:52","date_gmt":"2025-06-26T14:43:52","guid":{"rendered":"https:\/\/www.trccompanies.com\/?post_type=news-and-insights&p=28740"},"modified":"2025-09-26T19:30:01","modified_gmt":"2025-09-26T19:30:01","slug":"transformative-benefits-3d-facility-mapping-utilities","status":"publish","type":"news-and-insights","link":"https:\/\/www.trccompanies.com\/fr\/insights\/transformative-benefits-3d-facility-mapping-utilities\/","title":{"rendered":"The Transformative Benefits of 3D Facility Mapping for Utilities"},"content":{"rendered":"\n\n
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The utility industry stands at a pivotal crossroads. With mounting pressure to modernize aging infrastructure, comply with stricter regulations and meet the ever-growing demand for affordable and reliable energy, utilities must rethink their approach to asset management and operational efficiency.<\/p>\n

Companies are digitally transforming in an effort to modernize networks. One of the more recent innovative approaches involves modern 3D facility mapping. Thanks to breakthroughs in high-resolution imaging, machine learning and geospatial analytics, utilities can now create accurate, dynamic digital twins of their facilities faster and more cost-effectively than ever. This provides new ways to approach problem-solving and decision-making, improving utility workflows and maximizing asset value.<\/p>\n

Traditional Facility Mapping Falls Short<\/h2>\n

For decades, utilities have struggled with the limitations of outdated, incomplete, or low-quality facility data. Inaccurate or missing asset data introduces risk and hampers the ability to respond effectively to maintenance needs or emergencies.<\/p>\n

The core of the problem lies in the unique nature of utility assets contained indoors. Unlike outdoor infrastructure, facility equipment such as valves, meters, pipes, switchgear and control panels are located in confined spaces that are difficult to access using traditional mapping methods.<\/p>\n

Manual data collection, still common in many organizations, is slow, labor-intensive and prone to human error. Details such as asset make, model, serial number, or precise location are often missing or recorded incorrectly, leading to operational blind spots.<\/p>\n

While powerful, traditional mapping technologies like LiDAR have historically been expensive and slow when used across thousands of facilities. A single LiDAR scan can take days or weeks and requires specialized crews. Even when data is collected, it is rarely integrated with GIS or asset management systems in a way that supports ongoing operations. Meanwhile, legacy CAD models, schematics and photographs typically lack the resolution and completeness needed for actionable insights. This prevents utilities from fully leveraging modern geospatial platforms such as Esri\u2019s ArcGIS Utility Network.<\/p>\n

The operational impact is significant. Field teams may need multiple site visits to assess equipment, gather the right parts and perform necessary work. Each visit involves travel costs, safety clearances, and resource allocation, compounding inefficiencies. With thousands of facilities in a typical network, keeping records up to date manually is nearly impossible. As a result, data quickly becomes stale, hampering a utility\u2019s ability to plan, maintain and modernize its network.<\/p>\n

Key challenges in facility mapping:<\/p>\n