GPS World

Tag: underground assets

  • Seeing the unseen: How AI-powered geospatial tech is transforming utility safety

    Seeing the unseen: How AI-powered geospatial tech is transforming utility safety

    Every six minutes, somewhere in the United States, an underground utility line is damaged by careless excavation. Such incidents not only disrupt electrical, gas, and other services but also create serious environmental hazards. For example, a broken gas line could trigger an explosion that puts people and property at risk. Utilities and local distribution companies (LDCs) are embracing geospatial analytics and artificial intelligence (AI) to prevent or limit damage to buried cables and pipelines.

    The Common Ground Alliance (CGA) estimates that in 2019, excavation damage cost U.S. utilities $30 billion, including the cost of lost service, emergency response, and repairs. The Pipeline and Hazardous Materials Safety Administration (PHMSA) estimates that pipeline excavation incidents continue to rise, averaging 1.45 per day in 2024.

    Despite local regulations and 811 lines to “call before you dig,” excavation breaches continue to grow due to a lack of visibility and up-to-date information about underground lines. Utilities can’t give contractors and excavation crews accurate information about buried assets that are invisible from the surface.

    Satellite imaging and spectral sensing technology provide utilities with the means to monitor rights-of-way, identify excavation threats, and troubleshoot problems such as gas and water leaks. AI-powered geospatial analytics are the modern canary in the coal mine for hazardous leaks and service disruptions.

    Keeping Track of Buried Service Assets

    Keeping track of underground assets is an ongoing challenge for pipeline operators, utilities, and LDCs. The traditional method of tracking buried assets is periodic field observations. Right-of-way inspections and 811 locate ticket programs are typically initiated before third-party excavations, but these manual methods leave a dangerous visibility gap.

    Inspections are needed every 30 to 90 days, which is costly since they require rolling trucks with human inspectors. Manual inspections can also provide only limited coverage, particularly in remote and hard-to-access areas. Even with regularly scheduled inspections, encroachments may go undetected for weeks or months. The result is a vulnerability window between inspections.

    The CGA reports that failure to notify 811 and inaccurate location information are among the top contributors to excavation incidents. Even when appropriate dig notices are filed, construction grading or trenching often begins before infrastructure owners can respond to dig requests.

    Advances in remote sensing, AI, and GIS now enable utilities to monitor rights-of-way from 270 miles up. Using satellite imaging and AI algorithms, utilities can continuously monitor pipeline and cable corridors and help close the visibility gap. Commercial satellite images from providers such as Airbus and Vantor (formerly known as Maxar) can provide high-resolution imagery for cloud-based AI processing that can detect changes as small as 30 centimeters, about the size of a dinner plate. Using satellite imaging is also faster and more cost-effective than using drones or aircraft, because cloud computing resources can analyze images in hours, rather than days or weeks.

    High-resolution imagery is necessary for specific, accurate alerts. (Photo: Satelytics)
    High-resolution imagery is necessary for specific, accurate alerts. (Photo: Satelytics)

    To power geospatial analytics, remote sensing technology (RST) captures multispectral and hyperspectral data from high-resolution satellite sensors, then uses AI-powered algorithms to analyze spectral signatures. Spectral imaging can detect a wide range of surface activity, including soil disturbances, vegetation changes, soil grading and trenching, new construction starts, heavy equipment use, new access roads, and encroachment on utility easements; activities that could indicate a risk to buried cables and pipelines.

    Integrating Geospatial AI with ArcGIS

    To make potential problems easier to identify, high-resolution images and geospatial analyses can be fused with GIS asset layers and corridor models to pinpoint anomalies that could indicate excavations or construction that interfere with utility rights-of-way.

    Utilities that already use ArcGIS as their system of record can readily integrate results from geospatial analytics into existing workflows. For example, users can visualize and detect disturbed layers using ArcGIS Pro, tracking surface risk trends and KPIs with ArcGIS dashboards.

    Monitoring the utility corridor for unwanted structures. (Image: Satelytics)
    Monitoring the utility corridor for unwanted structures. (Image: Satelytics)

    To show how this works, Southern Company, which owns Georgia Power, Alabama Power and Mississippi Power, needed to identify new construction along its service corridors to detect potential encroachments before construction. Southern Company established a quarterly monitoring schedule with Satelytics, a provider of cloud-based geospatial analytics software.

    Using data from the Pleiades 1A and 1B satellites, Satelytics captured multispectral imagery at 50-centimeter resolution, then used AI-poweredanalytics to detect changes, such as new barns, parking lots, or other construction. Encroachment alerts were delivered through the Satelytics web portal, and the geospatial data was transferred directly to Southern Company’s ArcGIS system via application programming interfaces (APIs).

    Southern Company then compared items flagged in the satellite images with field visits to fine-tune the AI models. Following the pilot program, the AI models were refined to flag only those encroachments that posed a danger or a problem.

    Flagging encroachment risks from space. (Image:: Satelytics)
    Flagging encroachment risks from space. (Image:: Satelytics)

    AI-powered geospatial analytics strengthens Enhanced Positive Response (EPR) by documenting risk locations, including map layers and images, and providing evidence of corridor conflicts and surface changes. While AI accelerates detection, ground truthing remains essential. As shown in our Southern Company example, on-site validation is required to improve machine learning algorithms to increase accuracy. Integrating Field Maps and Survey 123 into AI workflows can verify findings and prioritize responses.

    Using AI and GIS for Predictive Dig Safety

    Geospatial AI technology is becoming an essential tool for more than just excavation monitoring. Using AI to analyze satellite images offers other benefits, such as measuring gas leaks or tracking water and oil leaks. Combining AI, GIS, and historical data will soon be used for predictive excavation risk management, identifying high-risk areas in advance of filing an excavation permit.

    Predictive analytics will continue to play a larger role in excavation monitoring. AI analytics will provide construction forecasts and enable permit intelligence layers in GIS. The same data can power dynamic risk scoring dashboards and support three-dimensional corridor safety twins.

    As new building construction continues to boom, utilities are harnessing the latest technology to prevent excavation incidents and protect underground assets. Combining satellite imagery, AI, and GIS provides the advanced tools needed to maintain continuous asset awareness, closing the visibility gap for underground cables and pipelines. Pipeline operators, electric utilities, and LDCs are reducing operating costs and minimizing environmental impact by leveraging geospatial analytics powered by artificial intelligence.

    Sean Donegan is CEO of Satelytics, a company that uses cloud-based, geospatial analytics to analyze multispectral and hyperspectral imagery to identify pipeline leaks and other environmental issues. Donegan has over 30 years of experience building technology and software companies.

  • Eos releases underground infrastructure mapping solution for Collector for ArcGIS

    Eos releases underground infrastructure mapping solution for Collector for ArcGIS

    Eos Locate for Collector for ArcGIS enables utilities to map buried assets with submeter or centimeter accuracy

    A worker using an Arrow receiver and vLoc from Vivax Metrotech. (Photo: Eos Positioning)
    A worker using an Arrow receiver and vLoc from Vivax Metrotech. (Photo: Eos Positioning)

    Eos Positioning Systems Inc.  (Eos) has released its underground utility asset-mapping solution: Eos Locate for Collector for ArcGIS.

    Eos Locate for Collector combines three core technologies: Eos Arrow GNSS receivers, Esri Collector, and the Vivax-Metrotech vLoc Series of locator devices.

    With Eos Locate for Collector, one field worker can collect both GNSS locations and locator data (such as depth below cover) for any buried asset including water, sewer, electric, cable, gas, fiber infrastructure and more. They can do so quickly, accurately and without the need for any additional field or office support.

    “We are giving our Arrow GNSS customers a solution today that allows them to combine both locator data and high-accuracy locations in web maps,” Eos CTO Jean-Yves Lauture said. “This greatly simplifies their workflow by allowing one person to do underground locates and GIS mapping simultaneously.”

    “This is a big step forward for utility organizations who need to gain better visibility of their infrastructure,” said Doug Morgenthaler, Esri program manager. “With today’s technology, utilities can already see where new assets are being put in the ground. The challenge historically has been figuring out where existing assets are.”

    Eos Locate for Collector not only streamlines underground-asset mapping, but also improves office production times. It eliminates the need to manually combine datasets from the locator and GPS devices within ArcGIS.

    “Seeing all that information from utility locators and GPS receivers packaged directly into a GIS application is exceptional,” Vivax-Metrotech Eastern Regional Sales Manager Kelvin Cherrington said. “This solution will help utilities create maps of their underground assets with a much more modern and efficient methodology.”

    Indiana American Water Early Adoption

    Earlier this year, Indiana American Water approached Eos to seek a solution that consolidated their utility-locate workflow with their Arrow and Collector field work.

    “We had the manpower to put paint down,” said Todd Chapman, Indiana American Water Senior GIS Analyst. “But we would need to hire another person to map the locations with our Arrow Gold GNSS receivers.”

    Chapman estimates Eos Locate for Collector will cut their field time in half as well as enable the creation of extremely accurate buried-infrastructure maps in ArcGIS.

    “Previously, we were seeing that our old water mains could be off by up to 20 feet,” Chapman said. “With the new Eos Locate for Collector, we’re seeing that it’s accurate to under an inch.”

    The initial release of Eos Locate for Collector runs on Apple’s iOS iPhones and iPads and supports the vLoc Series from Vivax Metrotech. Future releases of Eos Locate for Collector will support additional locator models including the vScan series.

    With accurate digital twins of their buried infrastructure, utilities across sectors can expect improvements to safety, damage prevention, field efficiency and regulatory compliance.

    “Not only does this mean quicker responses to 811 tickets and fewer liabilities during field digs,” Lauture said. “But it also constitutes a major step forward toward the highly efficient future of 3D asset management and viable augmented-reality workflows.”