This Proof of Concept application that attempts finding a "optimal" fiber network planning for a map area.
The application uses OpenStreetMaps data and parameter provided by the operator to optimize the Fiber-to-the-Home underground cables routes for cost savings.
The model is designed consider factors such as:
- Which side of the road would cost less to dig-up
- The extra cost of digging across the road
- Obstacles such as bridges, rivers, monuments
- Cost of fiber per KM
- Cost of trench per KM
- Cost of trench to cross the road
- Cost of equipment
- Limits of PON/GPON networks
- Cost of hardware (Street cabinets and new powered decentralize locations)
The model should output a detailed planning along with itemized material and labour estimates.
Relationship Diagram
conda config --prepend channels conda-forge
conda create -n ftth_planner --strict-channel-priority osmnxstreamlit run ftth_app.pyIf you have a idea on how to fix any bug, please send me a pull request.
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OpenStreetmap data often doesn't contain building address data, so it il not work in areas that have less than 96 addresses registered
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If building don't have address information we would of course look for the closest trench, but this would be computationally expensive to do for all buildings and all trenches
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Buildings with address information sometimes do not find the closest trench, not sure why
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