The Problem
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.
The Solution
Nextqore’s AnySource 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.
AnySource Data Combiner
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.
Data Reason Builder
Analyzed structural integrity, correlated tenancy data with tower load conditions, and predicted maintenance needs based on wear patterns.
The Result
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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