Edge Network Device Preliminary Data Analysis for IoT Traffic Streams
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Solution Overview
Problem
Current IoT and IoE data processing approaches rely on 'store first, analyze later' methods, which are inefficient and delay real-time data processing, leading to unnecessary data transmission and analysis overhead.
Innovation Solution
Implementing edge network devices that perform preliminary data analysis based on user-defined rules, allowing for real-time processing and filtering of data streams, thereby sending only relevant data to backend systems for further analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all sensor data is transmitted to backend systems for processing, then complete data analysis is achieved, but data transmission overhead and network bandwidth consumption increase significantly
Solution Approach 1:
The patent segments data processing into two parts: preliminary analysis at the edge network device and further analysis at the backend system. This segmentation allows filtering of irrelevant data locally, reducing the volume of data transmitted over the network while maintaining complete analysis capabilities at the backend for relevant data.
Solution Approach 2:
The edge network device performs preliminary data analysis before transmitting data to the backend system. This preliminary action filters out irrelevant data and prepares only the most relevant information for further processing, reducing overall data transmission requirements while maintaining analysis completeness.
2Measurement precision
If all sensor data is stored and processed in the cloud, then comprehensive data processing is achieved, but processing time and latency increase
Solution Approach 1:
The patent divides data processing into immediate preliminary analysis at the edge device and deferred comprehensive analysis at the backend. This segmentation enables time-sensitive operations to be performed locally with minimal latency while comprehensive analysis is conducted subsequently with available resources.
Solution Approach 2:
The edge network device performs preliminary analysis actions immediately upon receiving sensor data, providing quick initial processing results. This preliminary action reduces latency for time-critical operations while the backend system performs comprehensive analysis at its own pace.
3Productivity
If edge network devices perform preliminary data analysis, then data transmission efficiency is improved, but device complexity increases
Solution Approach 1:
The edge network device performs only preliminary analysis rather than complete analysis. This partial action provides sufficient filtering capability to improve transmission efficiency while avoiding the complexity of implementing full analysis capabilities at the edge device.
Solution Approach 2:
The edge network device acts as an intermediary between sensor devices and the backend system. It performs intermediate preliminary analysis to filter and prepare data, reducing the burden on both the sensor devices and the backend system while maintaining overall system efficiency.
Data Source
AI summary
Information describing a rule to be applied to a traffic stream is received at an edge network device. The traffic stream is received at the edge network device. A preliminary data analysis of the traffic stream is performed at the edge network device in accordance with the rule. A determination is made that further analysis of the traffic stream should be performed from a result of the preliminary analysis. The traffic stream data is sent to another network device for further analysis.