Trigger-Based Collaborative Data Capture Synchronization
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Solution Overview
Problem
Existing data capturing systems lack a coordinated and deterministic approach for data capture operations across multiple devices, especially in scenarios where synchronization with a common timing reference is crucial for precise control and coordination.
Innovation Solution
A trigger-based collaborative data capturing system utilizing time-synchronized data capturing devices, where a data capturing controller manages triggers to coordinate data capture operations among multiple devices, ensuring that captured data is tagged with time information for synchronized processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple data capturing devices operate independently without centralized coordination, then device autonomy and operational flexibility are maintained, but data capture timing and coordination become unpredictable and non-deterministic
Solution Approach 1:
A data capturing controller is introduced as an intermediary device that manages triggers and coordinates data capture operations across multiple data capturing devices. The controller receives trigger inputs, processes them according to configured logic, and generates synchronized capture commands to multiple devices, thereby achieving deterministic coordination without requiring complex peer-to-peer communication between devices.
Solution Approach 2:
Trigger conditions and capture parameters are pre-configured in the data capturing controller before operation. The system performs preliminary setup of capture timing, thresholds, and device assignments, allowing the actual data capture to execute deterministically when predefined conditions are met, rather than requiring real-time decision-making during operation.
2Measurement precision
If data capturing devices use different timing references, then device independence is maintained, but synchronization precision and deterministic control are lost
Solution Approach 1:
All data capturing devices in the system are synchronized to the same timing reference, creating an equipotential timing environment. This ensures that all devices operate from a common time baseline, enabling precise synchronization of capture operations and deterministic coordination without the complexities of time reference translation or conversion between devices.
3Loss of information
If data capture operations are performed without time stamping, then processing speed is maintained, but temporal correlation and synchronized processing of captured data cannot be achieved
Solution Approach 1:
Time information is embedded into captured data at the point of capture through automatic time stamping. This preliminary action of tagging data with temporal information ensures that subsequent processing, analysis, and correlation operations can efficiently utilize timing data without requiring separate timing records or post-processing synchronization efforts.
Data Source
AI summary
Various aspects of the present disclosure provide for a control scheme of trigger based collaborative data capturing operations utilizing a plurality of time-synchronized data capturing devices. These data capturing devices are synchronized to the same time reference so that their inputs and outputs can be coordinated and controlled in a deterministic manner.