Smart Eyeglass Guidance for Cold Storage Location Tracking
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Solution Overview
Problem
Accurate and uniform control of environmental conditions in large cold storage facilities is difficult, leading to potential degradation of stored goods and challenges in assessing quality issues.
Innovation Solution
Implementing wireless communication between transceivers and sensors to quantify and track environmental conditions and product locations, enabling 3D profiling and optimization of HVAC operations, and using wearable devices for precise location tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wireless communication between transceivers and sensors is implemented to track environmental conditions and product locations, then monitoring precision and control accuracy are improved, but device complexity and system cost increase
Solution Approach 1:
The system divides the cold storage facility into multiple zones with distributed transceivers and sensors. Each zone has its own tracking capabilities, allowing independent measurement and control. This segmentation improves measurement precision for environmental conditions while distributing system complexity across multiple simpler nodes rather than requiring a single complex centralized system.
Solution Approach 2:
The wearable devices with transceivers serve multiple functions: location tracking, environmental monitoring, and communication. This multi-functionality reduces the need for separate dedicated devices for each purpose, thereby reducing overall device complexity while maintaining comprehensive monitoring capabilities.
2Reliability
If 3D profiling of environmental conditions is implemented, then control accuracy and product quality optimization are improved, but energy consumption and computational requirements increase
Solution Approach 1:
The system performs 3D environmental profiling at periodic intervals rather than continuously. Environmental sensors take measurements at scheduled times, and the system processes this data to create updated 3D profiles. This periodic approach maintains product quality control reliability while significantly reducing energy consumption compared to continuous operation.
Solution Approach 2:
The system automatically processes sensor data and generates 3D environmental profiles without requiring manual intervention. The computational tasks are performed autonomously by the system's processing units, optimizing product quality control while minimizing the energy that would be required for manual monitoring and data processing.
3Measurement precision
If wearable devices with transceivers are used for precise location tracking, then position accuracy is improved, but device weight and complexity increase
Solution Approach 1:
The wearable devices incorporate only the essential components needed for location tracking and environmental monitoring, rather than including all possible functions. This partial action approach achieves sufficient location tracking accuracy while minimizing device weight by excluding unnecessary components.
Solution Approach 2:
The system uses wireless communication infrastructure (transceivers, base stations) as intermediaries to provide location tracking services. Rather than relying solely on complex onboard processing in the wearable devices, the system leverages the existing facility infrastructure to enhance location accuracy, thereby reducing the weight and complexity requirements of the wearable devices themselves.
Data Source
AI summary
Smart wearable headgear configured to guide a delivery person. The headgear may include eyeglasses that integrate forward-aligned cameras, displays, processors, memory, and communications to: associate and scan physical tags (RFID, hash, barcode) on products; activate GPS and node-based positioning to determine device location; present turn-by-turn directions on the display to a drop-off location; and correlate product movements through checkpoints during transport while recording environmental history. Sensors may include accelerometers, vibration detectors, magnetometers, and location sensors to detect jarring, dropping, orientation, and direction of interest. The smart device may communicate with distributed nodes and facility transceivers to refine accuracy and verify arrival. A wrist strap with physiological sensors wirelessly links to the eyeglass and translates hand and finger gestures into control commands. The headgear displays contextual digital information including items within camera view-plane and map overlays of items of interest superimposed with the delivery person's location.