Wireless Sensor Nodes for Real-Time Physical Characteristic Modeling
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Solution Overview
Problem
Current systems lack an efficient and automated method for assessing and modeling physical characteristics of objects or spaces in real-time, particularly in large environments like warehouses or during object transit, requiring manual labor for inventory and data collection.
Innovation Solution
A wireless mesh network of nodes with attached electronic stickers, each equipped with sensors and processing capabilities, communicates securely to generate and update AI-driven models of physical characteristics, such as temperature, motion, and RF propagation, enabling real-time data collection and prediction without relying on continuous gateway communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual labor is used for inventory and data collection, then data can be collected, but it requires significant manual effort and time
Solution Approach 1:
The wireless sensor nodes autonomously collect, process, and share data with neighboring nodes without requiring manual intervention. Each node independently generates AI predictions and updates local models, enabling the system to self-serve data collection needs across the entire monitored space.
Solution Approach 2:
The patent replaces manual mechanical data collection methods with automated wireless sensor nodes that use electronic sensing, wireless communication, and AI algorithms to collect and process data automatically, eliminating the need for physical manual inventory and measurement tasks.
2Loss of information
If continuous gateway communication is used for data collection, then centralized data can be gathered, but bandwidth consumption and power usage increase
Solution Approach 1:
The system divides the centralized data collection function into distributed segments at each wireless sensor node. Each node maintains its own AI model and processes data locally, sharing information only with neighboring nodes rather than continuously communicating with a central gateway, thereby reducing overall communication overhead and energy consumption.
Solution Approach 2:
Instead of continuous full-data transmission to the gateway, the system uses partial action by transmitting only necessary model updates and predictions between neighboring nodes. The gateway receives summarized information rather than continuous raw data streams, reducing bandwidth and power requirements while maintaining data availability.
3Measurement precision
If AI models are trained centrally with all data, then model accuracy can be maximized, but communication bandwidth and processing requirements increase
Solution Approach 1:
The centralized AI training process is segmented into distributed training at each wireless sensor node. Each node trains its own local AI model using data from its vicinity, then shares model updates with neighboring nodes. This distributed approach maintains model accuracy while reducing the complexity and bandwidth requirements of centralized processing.
Solution Approach 2:
Each wireless sensor node develops locally-adapted AI models that are optimized for its specific environment and data characteristics. This local quality approach allows each node to achieve high prediction accuracy for its local conditions without requiring all nodes to process and transmit all data to a central training system.
Data Source
AI summary
Exemplary embodiments include a wireless computing network to assess and model a physical characteristic associated with an object or space, the network including a plurality of wireless nodes located in a physical space, each of the plurality of wireless nodes configured to wirelessly communicate with at least one other wireless node in the network in a secure manner, attach to a physical object in the physical space via any adhesive means, utilize data from neighboring wireless nodes to generate or update an artificially intelligent machine learning model regarding a physical characteristic associated with the physical space and a gateway device in communication with each of the plurality of wireless nodes.