Embedded Machine-Readable Images in Industrial Video Streams
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Solution Overview
Problem
Existing systems face challenges in providing secure and efficient remote monitoring of industrial equipment operations, as raw live data transmission consumes significant network bandwidth, increases cybersecurity risks, and results in data latency and communication bottlenecks.
Innovation Solution
A system that uses a control system to generate machine-readable images based on live operational data and embeds these images within streaming image data, allowing for secure and efficient data transmission while preventing unauthorized access to substantive operation-related values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If raw live data is transmitted to multiple users for remote monitoring, then data accessibility is improved, but network bandwidth consumption increases significantly
Solution Approach 1:
The patent uses machine-readable images (copies/representations of data) embedded within streaming image data to transmit operational information. Instead of transmitting raw live data directly to multiple users, the system creates machine-readable image copies that can be extracted and processed, reducing the actual data transmission burden while maintaining data accessibility for remote monitoring.
2Ease of operation
If raw live data is transmitted to multiple users, then remote monitoring capability is improved, but cybersecurity risks increase
Solution Approach 1:
The patent introduces machine-readable images as an intermediary layer between the control system and users. These images embed operational data in a format that requires specific processing to extract meaningful information, creating a security buffer that reduces direct exposure of raw live data while still enabling remote monitoring capabilities.
3Loss of information
If raw live data is transmitted for remote monitoring, then data availability is improved, but data latency increases
Solution Approach 1:
The patent merges machine-readable images containing operational data with streaming image data. This combination allows data to be transmitted efficiently within the video stream framework, reducing latency compared to separate data transmission channels while maintaining data availability for remote monitoring applications.
4Adaptability or versatility
If multiple users access live data simultaneously, then collaborative monitoring is improved, but network communication bottlenecks increase
Solution Approach 1:
The system creates machine-readable image copies that can be independently extracted and processed by multiple users simultaneously. This copying approach allows collaborative monitoring without requiring continuous high-bandwidth connections for each user, as the embedded images can be processed locally once received, reducing network communication bottlenecks.
Data Source
AI summary
A system may include a control system for controlling one or more operations of one or more industrial devices in an industrial system. The control system may receive streaming data comprising one or more visualizations representative of one or more live operational parameters associated with one or more industrial devices. The streaming data may include multiple image frames. The control system may also identify multiple datasets associated with the streaming data and generate multiple machine-readable images based on the multiple datasets. In addition, the control system may embed the multiple machine-readable images within the multiple image frames of the streaming data to generate updated streaming data and send the updated streaming data to a computing system that may extract the multiple machine-readable images from the updated streaming data.