Unified IoT Node Management Across Multiple Networks
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Solution Overview
Problem
Managing and monitoring IoT nodes with multiple network connections is complex due to data being spread across different connectivity types and networks, making it challenging for manufacturers to track and assess data usage at the individual vehicle level, especially with the increasing volume of data generated by autonomous vehicles.
Innovation Solution
A unified management and monitoring system that receives data from multiple management platforms, applies a unified data model, analyzes the data to generate insight information, and provides it to the manufacturer, using machine learning for anomaly detection and optimizing connectivity, while allowing for unified diagnostics, traffic segmentation, and automated testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If IoT nodes are configured to communicate via multiple connectivity types and across multiple networks, then the ability to maintain connectivity under different conditions is improved, but the complexity of managing and monitoring data usage is worsened
Solution Approach 1:
The patent merges data from multiple management platforms (cellular, Wi-Fi, V2X) into a unified data structure that represents the IoT node's complete connectivity state. This consolidation allows the system to maintain reliability through multiple networks while presenting a single simplified view for management, resolving the contradiction between multi-network reliability and management complexity.
Solution Approach 2:
The patent introduces a unified management platform that acts as an intermediary between multiple network operators and the IoT node manufacturer. This mediator collects data from various connectivity types, normalizes it according to a common schema, and provides unified monitoring capabilities, thereby reducing management complexity while preserving multi-network reliability benefits.
2Adaptability or versatility
If data is spread across different connectivity types and networks, then the IoT node's adaptability to different conditions is improved, but the ease of reviewing and managing assets at the individual vehicle level is worsened
Solution Approach 1:
The patent segments the unified data into structured components representing different connectivity types (cellular, Wi-Fi, V2X) while maintaining a hierarchical organization that groups related data together. This segmentation allows the system to adapt to multiple network types while presenting organized, easily reviewable data structures for asset management at the vehicle level.
Solution Approach 2:
The patent creates a universal data model that can represent IoT nodes regardless of their specific connectivity configuration. This multi-functional data structure accommodates various network types while providing consistent access patterns and management interfaces, thereby improving ease of operation despite the node's adaptability to different connectivity conditions.
3Productivity
If the amount of data being transmitted by IoT nodes is increased, then the telemetry reporting capability is improved, but the difficulty of tracking and assessing data usage is worsened
Solution Approach 1:
The patent implements feedback mechanisms where the unified management platform continuously monitors data usage across all connectivity types and provides aggregated metrics back to the manufacturer. This feedback loop enables the system to handle increased telemetry data volumes while providing clear, consolidated visibility into data usage patterns, reducing the difficulty of tracking and assessment.
Solution Approach 2:
The patent transforms the data usage tracking problem by adding a temporal and aggregational dimension. Instead of tracking individual data packets across multiple networks, the system aggregates data usage by time period, connectivity type, and node identifier. This dimensional transformation enables the system to handle high data volumes while providing manageable, insightful summaries of data usage patterns.
Data Source
AI summary
In one embodiment, a device receives data regarding a node from a plurality of management platforms, each management platform being associated with a different access network used by the node. The device applies a unified data model to the data regarding the node received from the plurality of management platforms, to form unified data regarding the node. The device analyzes the unified data regarding the node, to generate insight information. The device provides the insight information to an application associated with a manufacturer of the node.