Remote Visualization for Overhead Fiber Route Planning
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Solution Overview
Problem
The high cost and inefficiency of traditional fiber network installation methods, which can exceed $1,000 to $1,250 per residential household or $60,000 to $80,000 per mile, necessitate the development of more optimized planning and construction techniques to reduce costs and improve connectivity.
Innovation Solution
The implementation of remote visualization techniques using Unmanned Aerial Vehicles (UAVs) and camera systems to capture and process photographs, creating 3D models and remote visualizations that determine optimal routes for both overhead and underground fiber cable installations, allowing for virtual site inspections and reduced material waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional fiber network installation methods are used, then connectivity is provided, but installation costs are excessively high ($1,000 to $1,250 per household or $60,000 to $80,000 per mile)
Solution Approach 1:
The system performs preliminary site surveys and route planning using remote visualization technology before actual installation. Drones capture aerial imagery and create 3D models of the installation area, allowing planners to identify optimal routes, assess accessibility, and predict installation challenges in advance. This preliminary visualization enables better preparation and reduces costly on-site adjustments during installation.
Solution Approach 2:
The system creates digital 3D copies and virtual models of the physical installation area using photogrammetry from drone-captured imagery. These digital twins allow for virtual route planning, simulation of installation scenarios, and cost estimation without requiring physical site visits for every planning decision, significantly reducing overall installation costs.
2Productivity
If traditional installation planning methods are used, then fiber networks are constructed, but detailed network planning and optimization are insufficient
Solution Approach 1:
The system replaces traditional mechanical site survey methods (physical measurements, manual documentation) with aerial photogrammetry and automated 3D modeling. Drones capture comprehensive imagery that is automatically processed into detailed 3D models, providing superior detail and accuracy compared to conventional ground-based surveying methods.
Solution Approach 2:
The system transitions from two-dimensional map views to three-dimensional virtual models of the installation area. This 3D visualization provides depth information, vertical clearances, and spatial relationships that are invisible in traditional flat maps, enabling more accurate route planning and optimization.
3Ease of manufacture
If remote visualization techniques are implemented, then optimal routes can be determined, but processing photographs to create 3D models requires computational resources
Solution Approach 1:
The drone system serves multiple functions: it captures imagery for 3D modeling, performs aerial photography for documentation, and can potentially carry sensing equipment for environmental assessment. This multi-functionality justifies the investment in the drone platform and reduces the need for separate specialized equipment for each task.
Data Source
AI summary
Systems and method for installing an overhead fiber network include causing one or more cameras to capture a plurality of photographs of an installation area; obtaining the plurality of photographs and causing processing of the plurality of photographs to provide one or more remote visualizations of the installation area; utilizing the one or more remote visualizations for determining optimal route for overhead fiber cables; and installing the fiber network based on the determined optimal route.