Intelligent Optical Network Monitoring with AI
Executive Summary
LOViZ is an internet provider from Paraná with over 15,000 clients and national expansion plans. Operating in a sector where service continuity is crucial for subscriber experience, the company sought to enhance its fiber optic network monitoring capabilities, transitioning from a reactive operation to a predictive model driven by artificial intelligence.
The previous scenario required physical inspections after complaints were registered, making the fault detection and resolution cycle slower and more costly. Anticipating problems before they reached customers was a goal that the available methods could not consistently achieve.
The solution came from the integration between Geosite Telecom and the Visium platform, a Squadra solution that applies artificial intelligence to continuous monitoring of subscriber optical signals. By combining precise geographic network mapping with a direct chaining-based inference engine, the solution began identifying faults in real-time and directing technicians with agility and precision to the compromised network element.
The technology was presented at the Abrint Global Congress (AGC), where it gained international recognition as a benchmark in innovation applied to optical network operations.
The Challenge
Operating fiber optic networks at scale demands quick and accurate responses — and any gap between a fault's occurrence and its resolution directly impacts customer experience. For LOViZ, the path to elevating this operational standard involved overcoming three central challenges:
Reactive Monitoring: Fault detection relied primarily on subscriber complaints as the trigger, which delayed the start of the resolution process and increased the perceived downtime for the customer.
Dependence on Physical Inspection: After identifying an occurrence, technicians needed to travel for on-site verification without precise information about the fault location, increasing the time and cost of interventions.
Lack of Predictive Visibility: Without continuous analysis of signal patterns, identifying degradations before they became perceptible faults for customers was a challenge that the current operational model did not yet solve.
The Solution
Squadra structured an integrated solution combining Geosite Telecom — a platform for precise geographic mapping of fiber infrastructure — with the Visium platform, which applies artificial intelligence to continuous optical signal monitoring. The approach combines real-time data with logical rules to identify fault causes based on normal and problematic signal patterns.
Genius in Action: Intelligent Monitoring with Visium and Geosite
Continuous Data Collection: Visium monitors subscriber modem signal data in real-time, identifying degradation patterns as they emerge.
Cross-referencing with Network Topology: The collected information is cross-referenced with the topological map provided by Geosite Telecom, which offers a precise geographic view of LOViZ's fiber infrastructure.
Root Cause Inference: The direct chaining inference engine applies logical rules to real-time data to pinpoint the likely network element causing the fault, such as a CTO, splitter, or splice, displaying the location directly on the map.
Field Dispatch and Confirmation: With the problem location identified, technicians are directed precisely to the indicated point. The correction is automatically confirmed by Visium itself, closing the cycle in an integrated manner.
Results
The integration between Visium and Geosite transformed the operational logic of LOViZ's optical network: the reactive model gave way to a continuous flow of monitoring, detection, and resolution driven by artificial intelligence. The ability to identify the compromised network element before dispatching a field team reduced unnecessary travel and accelerated response times to incidents.
The solution gained recognition beyond operational boundaries: its presentation at the Abrint Global Congress (AGC) positioned LOViZ and Squadra as benchmarks in innovation applied to optical network management.
Category | Technology |
|---|---|
Optical signal monitoring | Visium (Squadra) |
Network geographic mapping | Geosite Telecom |
AI Engine | Direct chaining inference engine |
Operational integration | Visium + Geosite (integrated solution) |
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