Tillman Infrastructure, a large Tower Infrastructure Operator, needed an advanced solution to digitally map, analyze, and optimize its telecom towers. Challenges included:
- Unstructured data sources such as drone images, sensor readings, and weather data were difficult to process into actionable insights.
- Manual inspections were time-consuming and lacked real-time accuracy.
- Limited visibility into current tower conditions, tenancy load, and structural integrity made proactive maintenance difficult.
To enhance tower lifecycle management, increase tenancy revenue, and streamline maintenance, Tillman required a data-driven, automated approach.
Nextqore’s Any Source Data Combiner and Data Reason Builder were deployed to extract, process, and integrate unstructured data into a centralized data pipeline. The key features included:
- Automated Image Processing: Extracting structural data from drone images and LiDAR scans to generate digital twins of tower& shelter area.
- Unstructured Data Tagging: Converting image-based data into structured formats, integrating metadata like tenancy details, tower conditions, and equipment load.
- Weather & Environmental Data Correlation: Combining wind speed, temperature, and weather analytics to assess tower performance and potential risks.
- Predictive Maintenance Insights: AI-driven analytics identified structural weaknesses, corrosion risks, and load-bearing capacities to prevent failures.
- Revenue Opportunity Mapping: Analyzing free tenancy slots to assist sales teams in maximizing tower utilization.
Extracted drone and LiDAR data to digitize tower external structure & in shelter structures, ingested wind speed, weather conditions, and real-time sensor data from field systems.
Analyzed structural integrity, correlated tenancy data with tower load conditions, and predicted maintenance needs based on wear patterns.
By leveraging Nextqore’s Unstructured Data Integration platform, Tillman Infrastructure achieved:
- Automated Tower Mapping – Digital twins provide a real-time, high-fidelity view of each tower.
- Efficient Maintenance Planning – AI-powered insights reduced manual inspections and enabled predictive maintenance.
- Optimized Tenancy Management – Enhanced data visibility helps maximize rental capacity for revenue growth.
- Improved Structural Health Monitoring – Continuous tracking of load conditions and environmental factors prevents outages.
- Seamless Integration – Data extracted directly from the MYX Digital Twin platform, coupled with Analytics performed on the Nextqore platform, allowing deeper analytics and operational efficiencies.
By transforming unstructured data into business-ready intelligence, Nextqore empowered Tillman Infrastructure with next-gen tower lifecycle management and revenue optimization tools.
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