Edge Sensor Data Standardization Without Cloud Exposure
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Solution Overview
Problem
Current sensor data processing solutions are vendor-dependent, slow to adapt, and raise security concerns by sending biometric and health data to the cloud, posing challenges in military and tactical operations.
Innovation Solution
A hardware-agnostic edge device that discovers, connects, and converts sensor data from multiple vendors to a standardized format, transmitting it securely without a cloud-based server, using machine learning for interpretation and speech-to-text translation for hands-free document population.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensor data is sent to the cloud for storage and processing, then data analysis capability is improved, but security and privacy protection deteriorates
Solution Approach 1:
The patent extracts the data processing function from the cloud environment and relocates it to the edge device. The edge device independently performs sensor data processing, fusion, and analysis locally, eliminating the need to transmit sensitive biometric and health data to the cloud, thus resolving the security contradiction while maintaining analytical capability
Solution Approach 2:
The patent introduces a new architectural dimension by implementing edge computing capabilities directly on the wearable device. This dimensional shift from cloud-centric to edge-centric processing enables local data analysis without compromising security, as data remains on the device throughout the processing chain
2Adaptability or versatility
If multiple vendor sensors are integrated, then sensor compatibility and versatility are improved, but data processing complexity increases
Solution Approach 1:
The patent implements a universal edge device platform that can interface with multiple vendor sensors through standardized protocols. The device maintains a library of vendor-specific client processes that can be dynamically loaded, allowing single device to support diverse sensor types without increasing processing complexity
Solution Approach 2:
The patent introduces an intermediary layer consisting of vendor-specific client processes that act as mediators between different sensor protocols and the standardized internal data format. This intermediary layer abstracts the complexity of multiple vendors, presenting a unified interface to the core processing logic
3Measurement precision
If vendor-specific client processes are used for each sensor, then sensor data accuracy is improved, but system adaptability and ease of integration deteriorates
Solution Approach 1:
The patent implements a dynamic system where vendor-specific client processes can be dynamically loaded and unloaded based on which sensors are currently connected. The system adapts its processing capabilities in real-time, loading only the necessary vendor-specific handlers for active sensors, thus maintaining precision without sacrificing adaptability
Solution Approach 2:
The patent segments the data processing functionality into modular vendor-specific client processes, each responsible for a particular sensor vendor's protocol. This segmentation allows the system to maintain high precision for each vendor while improving overall adaptability, as individual vendor modules can be independently managed and configured
Data Source
AI summary
Exemplary system and methods for processing sensor data at the edge. The edge device being encoded with programming code for executing at least one application module to discover one or more sensors. The processor connects the one or more discovered sensors to one of plural client interfaces for receiving sensor data. The sensor data received from each sensor is converted from a vendor specific format to a standardized format. The standardized sensor data is communicated to a remote edge device at a predetermined transmission interval.