Mobinnet Sites & Coverage Management

Mobinnet Telecommunication Company

Business IntelligenceTelecommunication Industry

Project Overview

This project has been designed and implemented with the goal of creating a comprehensive and intelligent system for managing Mobinnet sites. The system is built on the Django framework, which, thanks to its powerful web development capabilities, provides an efficient and flexible environment for data management.

Through this platform, users can easily add, edit, and remove sites and their corresponding sectors. The user interface is designed with a user-centered and intuitive approach, ensuring that all CRUD operations (Create, Read, Update, Delete) can be carried out smoothly and transparently. As a result, users always have access to the most up-to-date information while benefiting from streamlined and reliable system performance.


Interactive and Intelligent Map

One of the core strengths of the project is its advanced interactive mapping system, which provides a visual and analytical view of the network’s geographical layout. Beyond simple visualization, the system offers powerful analytical capabilities, including:

  • Automatic extraction of network topology by analyzing the relationships between sites.

  • Detailed visualization of sector directions and coverage angles.

  • Distinction between different link types (Microwave, Fiber Optic, Backhaul, etc.) and their levels of importance (primary, backup, etc.) using color codes and line patterns for clear differentiation.

These features empower network engineers to thoroughly analyze and monitor network structure and coverage.


Dependency and Coverage Analysis

In addition to mapping, the system is equipped with a hierarchical dependency tree that highlights critical network relationships. This enables experts to:

  • Identify critical points and Single Points of Failure (SPOF).

  • Assess the potential impact of a site outage on other parts of the network.

  • Make data-driven decisions for optimization, expansion, and troubleshooting.

With customizable map layers, powerful analytical tools, and features such as dynamic zooming and intelligent search, the system provides a comprehensive and data-driven perspective for effective network management.


Conclusion

This project goes far beyond a traditional management tool. It serves as a modern, innovative, and integrated platform with the potential to become the central infrastructure management solution for Mobinnet. By adopting this system, the organization directly benefits from:

  • Higher efficiency in network operations

  • Improved reliability and resilience

  • Enhanced service quality

In essence, the system enables experts to manage and optimize Mobinnet’s communication infrastructure with greater intelligence, precision, and confidence.

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