PON Fiber Route Detection for New Service Connection Planning
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Solution Overview
Problem
Conventional methods for connecting new service locations to a passive optical network (PON) are manual, time-intensive, and rely heavily on technician expertise, often failing to consider network factors, leading to inefficient resource usage and potential service gaps.
Innovation Solution
A method and system that utilize processors to detect a physical polyline route within a PON from a new service location to a serving office based on geospatial locations and optical component interconnections, enabling efficient delivery of end-user services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual technician-based methods are used to determine splice points and connection locations, then flexibility in handling complex field conditions is maintained, but time consumption and labor costs increase significantly
Solution Approach 1:
The system segments the fiber trace determination process into distinct functional modules: geospatial data acquisition, network topology data acquisition, route detection algorithm, and splice point identification. This segmentation enables automated processing while maintaining the ability to handle complex conditions through specialized sub-routines for different scenarios (indoor vs outdoor, existing vs new routes).
Solution Approach 2:
The patent replaces the manual mechanical process of technicians physically traveling to locations and using handheld devices to trace fibers with an automated computer-based system. The system uses algorithms to detect physical polyline routes by processing geospatial coordinates and network topology data, eliminating the need for manual field investigation while maintaining accuracy through automated route optimization calculations.
2Productivity
If automated systems are implemented to determine fiber routes and splice points, then time efficiency and consistency improve, but system complexity and initial setup requirements increase
Solution Approach 1:
The system is designed as a universal platform that can handle multiple types of fiber routing scenarios (indoor, outdoor, existing routes, new routes) through a single integrated architecture. The same core detection algorithms process different data types (geospatial coordinates, network topology, building layouts) to determine splice points and connection locations across diverse situations, reducing the need for multiple specialized systems.
Solution Approach 2:
The system performs preliminary data acquisition and processing by gathering geospatial locations of optical components and network topology information before the actual trace determination is needed. This pre-processing creates a ready-to-use database that enables rapid route detection when connection requests are received, separating the complex data preparation phase from the decision-making phase.
3Reliability
If conventional manual methods are used, then existing network infrastructure knowledge is leveraged through technician experience, but network resource optimization and load balancing are overlooked
Solution Approach 1:
The system incorporates feedback mechanisms by continuously querying the network management system to obtain current topology information, component status, and loading conditions. The route detection algorithm uses this feedback to evaluate multiple potential paths and select the optimal route based on real-time network state, ensuring that new connections are placed efficiently without overloading existing infrastructure segments.
Solution Approach 2:
The system dynamically adjusts routing parameters such as preferred path selection criteria, splice point location preferences, and connection capacity allocations based on current network loading conditions. When network resources are constrained in certain areas, the algorithm automatically modifies its behavior to route new connections through underutilized segments, optimizing overall network resource utilization.
Data Source
AI summary
Systems and methods for performing an upstream trace operation are presented. An exemplary method may include obtaining an indication of a new service location of a passive optical network (PON); detecting a physical polyline route, within the PON, from an on-ramp facility corresponding to the new service location to a serving office of the PON, the detecting based on (i) respective geospatial locations of a plurality of optical components of the PON, and (ii) interconnections of the plurality of optical components, and the plurality of optical components including the on-ramp location, a terminal disposed at the serving office, and at least one optical fiber optically connecting the on-ramp location and the terminal; and causing optical services to be delivered from the serving office to the new service location via the detected physical polyline route.