Marine Data Transmission System with Volatility Assessment
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Solution Overview
Problem
The marine environment poses challenges for electronic devices due to moisture, temperature, and salt, and existing IoT systems struggle to efficiently transmit large amounts of data from various operational systems on boats and vessels, exceeding the throughput capability of standard IoT connections.
Innovation Solution
A system that dynamically creates data channels based on operational systems, using a processor to assess data volatility and determine when to transmit, allowing for the identification of unknown systems and linking sensor data to pre-existing or new channels, thereby minimizing data transmission while ensuring significant conditions are reported.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If standard IoT systems are used to transmit data from operational systems, then data transmission can be established, but the data volume exceeds the throughput capability of standard IoT connections
Solution Approach 1:
The system extracts and transmits only the most critical operational data that exceeds threshold values, separating essential information from non-essential data. This allows the system to work within standard IoT throughput limitations while still monitoring comprehensive operational parameters.
Solution Approach 2:
The system changes the parameter of data transmission by implementing dynamic threshold-based filtering, where only data points that exceed predetermined thresholds are transmitted. This parameter change reduces the volume of transmitted data to fit within standard IoT connection capabilities.
2Productivity
If data transmission is minimized to fit standard IoT throughput, then throughput capability is maintained, but the ability to report all significant conditions may be compromised
Solution Approach 1:
The system implements feedback mechanisms where transmitted data triggers alerts and notifications to users. When critical thresholds are exceeded, the system not only transmits the data but also provides feedback through alerts, ensuring that significant conditions are communicated effectively despite reduced data volume.
Solution Approach 2:
The system uses dynamic threshold parameters to determine which data points warrant transmission. By adjusting these parameters based on operational context, the system ensures that significant conditions are captured and transmitted while maintaining throughput capability.
3Adaptability or versatility
If dynamic channel creation is implemented to handle diverse operational systems, then adaptability improves, but device complexity increases
Solution Approach 1:
The system implements a universal data channel framework that can accommodate multiple operational systems through a common architecture. This multi-functional approach allows the same device to handle diverse data types and sources without requiring separate specialized channels for each system, thus improving adaptability while controlling complexity.
Solution Approach 2:
The system segments data channels into standardized templates that can be dynamically instantiated for different operational systems. This segmentation approach allows the system to handle diversity through modular, reusable channel structures rather than creating entirely unique channels for each system.
Data Source
AI summary
A marine-type communication device that reads data from a data bus, dynamically creates new data channels for a plurality of operational systems and performs a volatility assessment to determine when to save the data for transmission to a cloud network and when to transmit the data to the cloud network.