Autonomous Telemetry Platform With Adaptive Edge AI Communication
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Solution Overview
Problem
There is a need to support complex telemetry processing from remotely operated and autonomous systems, including autonomous vehicles and IoT devices, to manage data collection, processing, and communication efficiently.
Innovation Solution
An autonomous telemetry platform (ATP) is introduced, which includes a processor module that facilitates communication and data management within and between autonomous systems, utilizing edge artificial intelligence for data processing and adaptive communication schemes, including synchronous and asynchronous methods, to optimize data delivery based on network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a processor module is added to facilitate communication and data management in autonomous systems, then data processing capability and communication efficiency are improved, but device complexity increases
Solution Approach 1:
The processor module serves as an intermediary component that mediates communication between autonomous systems and remote systems. It handles data collection, processing, and transmission functions, allowing the autonomous system to offload complex communication tasks while maintaining enhanced data processing capabilities without proportionally increasing overall system complexity.
Solution Approach 2:
The processor module is designed with multi-functionality, serving as both a communication facilitator and a data processing unit. It can operate in multiple modes (synchronous and asynchronous communication) and handle various data types from different sensors and devices, thereby improving productivity without requiring separate dedicated components for each function.
2Reliability
If adaptive communication schemes are implemented to optimize data delivery based on network conditions, then communication reliability is improved, but control complexity increases
Solution Approach 1:
The communication scheme is made dynamic and adaptive, allowing the processor module to automatically adjust its communication strategy based on real-time network conditions. The system can switch between synchronous and asynchronous modes, and modify data transmission parameters dynamically, thereby improving communication reliability without requiring complex manual control mechanisms.
Solution Approach 2:
The adaptive communication scheme incorporates feedback mechanisms where the processor module monitors network conditions and uses this information to adjust its communication behavior. This closed-loop approach enables the system to maintain high reliability by responding to changing conditions while keeping control complexity manageable through automated decision-making algorithms.
3Productivity
If edge artificial intelligence is utilized for data processing, then data processing efficiency is improved, but computational resource requirements increase
Solution Approach 1:
The data processing function is segmented and distributed, with edge AI capabilities implemented in the processor module rather than centralized in a single location. This allows local processing of data at the edge of the network, improving efficiency by reducing latency and bandwidth requirements while managing computational resource requirements through distributed processing architecture.
Data Source
AI summary
An example method includes providing a processor module of an autonomous system, the processor module being communicatively coupleable to a remote system via a first connection and being communicatively coupleable to a device to collect data via a second connection. The method further includes establishing the first connection between the remote system and the processor module, and establishing the second connection between the processor module and the device. The method further includes transmitting data from any one of the remote system, the device, or the processor module to any other of the remote system, the device, or the processor module via the first connection and/or the second data connection based at least in part on the data. The method further includes causing at least one of the remote system, the device, or the processor module to perform an action based at least in part on the data.