Quantum Spatial, Inc., an NV5 company, announced a pole clearance and loading analytics solution that will enable electric and telecommunications utilities to complete pole inspections faster, safer and with greater accuracy than traditional boots-on-the-ground methods, the company said. Quantum Spatial’s inSITE Pole Manager delivers full-system functionality, providing utilities with real-time snapshots of outstanding risk, and allowing them to seamlessly create work orders, forecast resources, dispatch assignments, and track work progress from a single integrated platform.
inSITE Pole Manager addresses the challenges created by increased pressure for regulatory compliance and increased attachment requests related to 5G rollout. inSITE delivers more accurate and repeatable information, enabling utilities to proactively address risk by planning repairs, upgrades and vegetation management when and where they are needed most.
inSITE Pole Manager leverages high-resolution spherical imagery and LiDAR data, which is acquired using 3D laser scanning technology with a survey-grade accuracy of 2 cm. The process begins with a clearance analysis based on utility standards and the governing regulations, then pole loading based on the utility specifications. This data enables the platform to perform full load analysis on 10,000 poles in two months, which is up to six times faster than what a utility can achieve with boots-on-the-ground. In addition, the processes take human error out of the measurement process. The LiDAR point cloud provides a “digital twin” with measurements that are systematic and repeatable.
Collected data is analyzed within Quantum Spatial’s inSITE software and delivered on a viewable and searchable map, which allows utilities to quickly identify and prioritize problem areas. inSITE Pole Manager also includes the ability to generate a 3D model of each pole. This feature eliminates the tedious task of manually creating pole models, allowing users to create models of 50 poles in three seconds – 60,000 times faster than traditional manual processes.