Locusview is at the forefront of digital construction management, offering comprehensive solutions tailored to the unique needs of electric and gas utilities. During a recent interview with Danny Petrecca, VP of Business Development at Locusview, we explored how the company is bridging the digitization gap in utility construction management, especially in the face of modern challenges such as grid modernization, distributed energy resource (DER) integration, and wildfire threat reduction.
Understanding the Digital Construction Management Gap
Danny highlighted that while utilities have made strides in many areas, there remains a significant gap in how they manage construction data in the field. Traditional methods, often paper-based or reliant on siloed applications, introduce inefficiencies and errors, particularly in the collection and management of as-built data. This is where Locusview steps in, providing a digital construction management (DCM) solution that transforms how utilities handle data from design to closeout.
Tackling Challenges in the Electric Utility Sector
Electric utilities, as Danny explained, are currently facing immense pressure to modernize the grid. This modernization involves various initiatives, from undergrounding power lines to enhancing grid resilience through advanced distribution management systems (ADMS). However, these projects demand accurate, up-to-date data, especially within a utility’s geographic information system (GIS). Unfortunately, many utilities still rely on outdated methods, which not only slow down the process but also compromise data quality.
Locusview’s DCM solution addresses these challenges by digitizing the entire construction workflow. By equipping field crews with easy-to-use digital tools, Locusview ensures that accurate spatial data, material data, and inspection forms are captured and efficiently integrated back into GIS and asset management systems. This digitization significantly improves capex efficiency and accelerates project closeouts, all while reducing the potential for human error.
