Venue Network Performance Monitoring via Zone Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies lack an efficient method for monitoring the performance of communication networks at specific venues, such as airports, which is crucial for providing optimal service to users.
Innovation Solution
The implementation of a system that collects wireless network performance data at a venue and categorizes it by zones. This data is then provided to a performance map graphical user interface, where graphical keys are used to represent performance attributes superimposed onto discrete polygons corresponding to each zone, triggering notifications if performance thresholds are exceeded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wireless network performance data is collected and categorized by zones at a venue, then network performance monitoring capability is improved, but system complexity increases
Solution Approach 1:
The venue is divided into multiple discrete zones represented by polygons, with performance data collected and categorized for each zone separately. This segmentation enables precise location-based performance monitoring while managing complexity through modular data organization by geographic regions.
Solution Approach 2:
Performance data is mapped from abstract network metrics to spatial dimensions by superimposing graphical keys onto a visual map interface. This dimensional transformation allows operators to intuitively understand performance distribution across the venue space, improving monitoring capability while presenting data in an accessible visual format.
2Loss of information
If graphical keys are superimposed onto discrete polygons to represent performance attributes, then performance visualization is improved, but ease of operation deteriorates
Solution Approach 1:
Graphical keys with distinct visual characteristics (colors, patterns, or symbols) are superimposed onto discrete polygons to represent different performance attributes and their values. This visual encoding transforms abstract performance data into intuitive graphical representations, improving information delivery while maintaining operational simplicity through automatic rendering.
3Reliability
If notifications are triggered based on performance attribute detection, then reliability is improved, but device complexity increases
Solution Approach 1:
The system continuously monitors performance attributes within each zone and automatically triggers notifications when detected values exceed predefined thresholds. This feedback mechanism ensures reliable network operation by promptly alerting operators to performance issues, while the automated threshold-based approach manages complexity through rule-based decision logic.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a method including collecting performance data associated with a communication network operating at a venue, providing the performance data for the communication network to a performance map graphical user interface, where the performance map graphical interface presents a plurality of discrete polygons and a plurality of graphical keys, and where the plurality of graphical keys are superimposed onto the plurality of polygons associated with a plurality of zones associated with the venue, detecting a first performance attribute associated with a first zone of the plurality of zones associated with the venue exceeding a threshold according to a first graphical key of the plurality of graphical keys that is superimposed onto a first discrete polygon of the plurality of discrete polygons, and triggering a notification according to the detecting the first performance exceeding the threshold. Other embodiments are disclosed.