Edge Node Data Aggregation for Clinical Network Reliability
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Solution Overview
Problem
Current data processing systems in clinical environments rely on central server architectures, which are prone to hardware unpredictability and single-point failures, and require complex hardware capabilities, making them inefficient and unreliable for handling vast data requests from numerous devices.
Innovation Solution
An edge computing system that includes medical care devices, edge-nodes, and monitoring devices, which aggregate raw data, combine it with metadata to generate processed data, and transmit it to monitoring or central servers, allowing for decentralized data processing and visualization, thereby segmenting and partitioning the network for efficient data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a central server architecture is used to process data from multiple medical devices, then data consolidation and processing capability are improved, but system reliability deteriorates due to single point of failure
Solution Approach 1:
The patent divides the centralized server architecture into multiple distributed edge nodes that can independently process data. Each edge node handles data from specific medical devices, creating segmented processing units that eliminate the single point of failure while maintaining collective data processing capability.
Solution Approach 2:
The patent introduces edge nodes as intermediary devices between medical devices and the central server. These edge nodes perform local data processing and aggregation, reducing the burden on the central server while providing redundancy and maintaining system operation even if the central server becomes unavailable.
2Productivity
If a central server is used to handle vast amounts of data requests, then data consolidation is improved, but hardware complexity and unpredictability increase
Solution Approach 1:
The patent segments the data consolidation function across multiple edge nodes distributed throughout the network. Each edge node performs local aggregation of data from connected medical devices, reducing the volume of data that needs to be processed by any single hardware system and simplifying individual hardware requirements.
Solution Approach 2:
The patent implements local data processing at edge nodes positioned close to medical devices. Each edge node is optimized for its specific local data aggregation needs, allowing for simpler, more predictable hardware configurations compared to a single complex central server that would need to handle all data requests.
3Device complexity
If data processing is centralized, then data management simplicity is improved, but communication vulnerability increases when central server communication is impaired
Solution Approach 1:
The patent segments the network architecture into distributed edge nodes that can operate independently. This segmentation creates multiple communication pathways and data processing points, so that communication impairment with one edge node or the central server does not halt the entire system's data processing capabilities.
Solution Approach 2:
The patent implements edge nodes that can perform data processing and local storage in advance, cushioning against potential communication failures with the central server. This ensures that data processing continues even when central server communication is impaired, as edge nodes maintain autonomous operational capability.
Data Source
AI summary
An edge computing system for locally processing data in a clinical network administered by a remote central sewer device (100), comprising: at least one medical care device (SAA, SAN), at least one first edge-node (3A), and a monitoring device (7) assigned to the at least one medical care device (SAA, SAN); the at least one first edge-node (3A) comprising: a connection interface (13) adapted to establish a data connection with the at least one medical care device (SAA, SAN), and with at least one of the remote central sewer device (100) and the monitoring device (7); and a processing module (15) adapted to: (i) aggregate raw data from the at least one medical care device (SAA, SAN), (ii) combine at least metadata with the aggregated raw data to generate processed data, and (iii) transmit the processed data to the monitoring device (7) and/or to the remote central sewer device (100) via the data connection. Also described is a method for locally processing data in a clinical environment, and a computer program product.