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GIS application for fiber infrastructure planning for multinational telecommunications company

For our customer, a multinational telecommunication company, we delivered a project of GIS application for fiber infrastructure planning. The project was a part of a larger country-wide initiative, aimed to extend optical fiber coverage to 90% of society by replacing outdated copper and radio technologies with optical fiber. The project required automating and optimizing the rollout pricing of optical fiber infrastructure while addressing valuation discrepancies between Orange and its contractors. The company sought to standardize processes, improve data quality, and centralize infrastructure information through the project.

Technology stack

Signet of Google Cloud

Google Cloud
Platform

Logo of ProstgreSQL

Prostgre SQL

Logo of PostGIS

PostGIS

Signet of Python

Python

Customer’s challenges

The project addressed several key challenges:

Unreliable valuations by different entities

(Orange and contractors) due to inconsistent parameters like coverage, number of homes, and mileage.

Negotiation processes

relying on fragmented documentation.

Manual network route drawing

by surveyors in GIS programs, leading to errors and inefficiencies.

GIS data sourced from different systems

(e.g., OpenStreetMap, IGN) with varying quality standards and time periods.

Lack of automation

in drawing optical fiber routes and standardizing rules for valuation.

Solution

The solution involved leveraging advanced technologies such as Google Cloud Platform (GCP), PostgreSQL with PostGIS, C++, and Python to optimize the architecture and reduce costs significantly. Instead of relying on BigQuery and managed SQL instances, the team transitioned to self-managed instances on virtual machines. PostGIS replaced GeoPandas for faster processing, while core functionalities were developed in C++ for better performance compared to Python. The system centralized infrastructure data (addresses, roads, shadow copies/twins) and automated rules for laying optical fiber routes.

Benefits

Monthly cost reduced

from $20k to $600 with higher throughput.

Automatic drawing

of optical fiber traces.

Reduced disruption to public spaces

during installation processes.

Increased flexibility for parameter changes,

such as adjusting the distance of boxes from houses.

Cost savings

during fiber installation by utilizing existing infrastructure (e.g., manholes) and optimizing fiber optic length.

Automated enforcement of area-specific rules

for laying fiber optics instead of manual checks by surveyors.

Detailed reporting

of costs, areas, addresses, material expenses down to the centimeter of each cable.

Simplified engineering

and topology optimization of fiber optic infrastructure.

Enhanced area coverage

by base transceiver stations (BTS).

Optimized use of private versus public spaces

to minimize costs for both Orange and its customers.

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