Innovation Grid

AI-Powered Inspection of Telecom Towers: Leveraging Technology to Reduce Operational Risks, Increase Reliability, and Identify Structural Issues

Home > PowerUp > Open challenges

AI-Powered Inspection of Telecom Towers: Leveraging Technology to Reduce Operational Risks, Increase Reliability, and Identify Structural Issues

Sponsor: Rodrigo Leal
Leader: Felipe Rodrigues Cardoso Braga

How can we digitize the inspection process of telecom towers to conduct them faster while improving the reliability of the collected data? A proposal to reduce safety risks and improve operational efficiency.

Brief Challenge Description:

This challenge aims to innovate and optimize Eletrobras' telecom tower inspection process, currently conducted manually, which involves safety risks for employees and high operational costs. The proposed solution should digitize the process using drones to capture tower images, create a Digital Twin of the asset, and apply artificial intelligence (AI) to detect structural issues and catalog inventory, such as antennas, radios, and other tower equipment. Furthermore, the solution must integrate with Eletrobras' corporate systems to ensure seamless infrastructure management and monitoring.

Solution Requirements
  • Drone Usage: Drones must be equipped to perform aerial surveys of telecom towers, capturing images to create a Digital Twin using photogrammetry.
  • Artificial Intelligence (AI): The solution must incorporate AI algorithms to analyze images and videos, identifying defects and anomalies in towers (e.g., peeling paint, corrosion, cracks, antenna support issues, damaged or loose cables, lifeline and SPDA problems, among others).
  • Automated Inventory: The AI must detect all equipment on the tower and generate inventory data, including at least the following parameters: equipment azimuth, elevation, mechanical tilt, dimensions (X, Y, Z), and height above ground level. The AI should also detect occupied and free space on the tower.
  • System Integration: The solution must integrate with Eletrobras' existing systems, such as asset management and monitoring platforms, enabling seamless sharing and utilization of the generated data for decision-making.
  • User Interface (UI): The platform must provide a user-friendly, intuitive interface for operators to view inspection results, generate reports, and monitor tower statuses.
  • Safety and Compliance: The solution must comply with relevant safety regulations for drone operations and data collection and storage.

Business Impacts
  • Reduced Operational Costs: Automating tower inspections, replacing manual processes, will result in significant cost savings on team mobilization and reduced human errors.
  • Increased Operational Efficiency: Rapid and accurate analysis of tower conditions enabled by AI will allow for early issue detection, facilitating preventive maintenance and avoiding failures or unplanned downtime.
  • Improved Decision-Making: Field-collected data integration with corporate systems will give Eletrobras a clearer and more accurate view of infrastructure conditions, aiding in equipment maintenance and replacement decisions.
  • Enhanced Safety: Using drones for inspections will reduce the need for teams to climb towers, minimizing the risk of work-related accidents associated with the current manual process.
  • Asset Management Improvement: Integrating the Digital Twin with Eletrobras' asset management systems provides a detailed and real-time view of tower conditions and components, such as antennas, cables, and power systems. Additionally, maintaining an up-todate tower occupancy plan offers engineering teams a reliable alternative for designing new projects.

Expected Benefits:
  • Efficiency and Agility: Automating the inspection process with drones and AI will enable faster inspections, reducing operation times and increasing tower coverage capacity.
  • Accuracy and Reliability: AI-driven analysis ensures more precise and consistent data interpretation, minimizing diagnostic errors and improving the reliability of information about tower conditions.
  • Greater Control and Visibility: Automated inventory of antennas and operating equipment, combined with integration into Eletrobras' systems, will provide stricter control over telecom infrastructures.
  • Scalability: The solution can be scaled to different locations and infrastructure types, applying the same automated process, facilitating system expansion without significant additional infrastructure investment.
  • Sustainability: The solution contributes to sustainability by reducing the need for physical team mobilization, lowering carbon emissions associated with transportation and resource use.
  • Innovation and Competitiveness: By adopting advanced technologies like the Digital Twin, Eletrobras positions itself as a leader in innovation within the telecommunications and energy sectors. This technological implementation improves internal processes and serves as a competitive differentiator, demonstrating the company's commitment to cutting-edge solutions to ensure operational efficiency and safety.
Telecom Tower Inspection | Artificial Intelligence (AI) | Operational Efficiency | Safety and Compliance | Pathology Identification