Robotic Data Stream Event Extraction for Low-Bandwidth Review
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Solution Overview
Problem
Autonomous systems generate vast amounts of data, leading to storage and transmission challenges due to limited local storage capacity and low bandwidth connections, necessitating efficient data management and prioritization.
Innovation Solution
A system that identifies events within data streams, extracts relevant portions, compresses data, and transmits only the necessary information to remote devices or storage, utilizing a data processing system with usage and network parameter monitoring, event detection, and data synchronization to optimize bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all sensor data is transmitted to remote devices, then complete data availability is achieved, but network bandwidth consumption increases significantly
Solution Approach 1:
The system extracts only relevant portions of sensor data that contain identified events, rather than transmitting complete data streams. The data processing system selectively transmits extracted event portions to remote devices, reducing network bandwidth consumption while maintaining data availability for critical events.
Solution Approach 2:
Different parts of the data processing system perform different functions: local event detection identifies events in incoming sensor data, local extraction isolates event-containing portions, and local compression reduces data size before transmission. This distributed processing quality across different locations resolves the contradiction between complete data transmission and bandwidth conservation.
2Measurement precision
If event detection and data extraction processing is performed continuously, then event identification accuracy is maintained, but system resource utilization increases
Solution Approach 1:
The system performs event detection and data extraction processing periodically or triggered by specific conditions rather than continuously. The data processing system monitors sensor data streams and initiates event detection processing when usage parameters indicate appropriate conditions, maintaining event identification accuracy while reducing system resource utilization during normal operation.
Solution Approach 2:
The data processing system autonomously monitors its own usage parameters and automatically adjusts event detection processing based on system state. When usage parameters fall below thresholds, the system self-initiates event detection and extraction without external intervention, maintaining accuracy while optimizing resource usage through self-regulated processing.
3Productivity
If data is compressed before transmission, then transmission efficiency improves, but processing time and computational resources increase
Solution Approach 1:
The system performs data compression in advance during periods when system resources are available and usage parameters are favorable. By pre-compressing extracted event data before transmission, the system improves transmission efficiency while managing processing time through advance preparation rather than real-time compression during critical transmission windows.
Data Source
AI summary
The system described herein can reduce network bandwidth usage when prioritizing data from an autonomous robotic system. The autonomous robotic system can identify predetermined events in data stream and extract portions of the data streams that include the events. The system can reduce network bandwidth usage by prioritizing transmission of only the extracted portions of the data streams rather than the full, raw data streams.