NFC Interaction Detection Circuit for Wireless Asset Tracking
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Solution Overview
Problem
Existing tracking systems in hospitals and other facilities face challenges in providing real-time visibility and analysis of resource location, status, and usage history, particularly in detecting interactions between patient-worn and clinician-worn devices, which affects workflow, patient flow, and asset tracking, due to limitations in battery life, communication range, and data rate.
Innovation Solution
A low-power interaction detection circuit that triggers a higher-power communication system to transfer meaningful data after detecting near-field communication interactions between objects, utilizing near-field communication devices with sensors and an information engine for analysis, employing various wireless communication formats like ZIGBEE, Bluetooth, and WiFi for medium and short-range communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If near-field communication devices continuously transmit signals for real-time tracking, then real-time visibility of resource location and interactions is improved, but battery life deteriorates
Solution Approach 1:
The system implements periodic transmission of tracking signals by NFC devices instead of continuous transmission. Sensors periodically query the NFC devices for interaction data, allowing real-time tracking capability while significantly reducing power consumption and extending battery life of wearable devices.
Solution Approach 2:
The NFC devices are designed to autonomously detect and report interactions with other NFC devices without requiring continuous active transmission. The devices automatically generate interaction records when brought into proximity, enabling real-time interaction tracking while minimizing energy expenditure through event-driven rather than continuous operation.
2Speed
If higher-power communication systems are used for data transfer, then data rate and communication range are improved, but energy consumption increases
Solution Approach 1:
The higher-power communication systems (WiFi, Bluetooth) are activated periodically only when interaction events are detected by the low-power NFC circuit. During normal operation, only the low-power NFC transmits periodically. When an interaction is detected, the system temporarily switches to higher-power communication for rapid data transfer, then returns to low-power mode, achieving high data rates when needed while minimizing overall energy consumption.
Solution Approach 2:
The low-power NFC circuit serves as an intermediary that continuously monitors for interactions and triggers higher-power communication systems only when necessary. This intermediary layer enables the system to maintain real-time interaction detection capability at low power while utilizing high-power communication for actual data transfer, optimizing the balance between data rate and energy consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient tracking and analysis of resource interactions within facilities, improving workflow and asset management by maintaining battery life while supporting real-time communication needs, and facilitating billing and workflow analysis.
Implementation Method 1
Near field communication typically operates in the 13.56 MHz frequency range, over a distance of one meter or less and usually a few centimeters
Data Source
AI summary
The present invention provides a method and system for determining a near-field communication interaction in a wireless tracking mesh network. The present invention preferably utilizes near-field communication devices in conjunction with tracking tags to transmit signals for reception by sensors stationed throughout a facility which form a mesh network and forward the signals to an information engine for analysis. Bearers of the near-field communication devices preferably include individuals, objects, assets and rooms of the facility.