RF Beam Charging Control for Long-Range IoT Power Delivery
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Solution Overview
Problem
Current radio frequency wireless charging techniques for IoT devices are limited by low power capabilities and can only charge devices within a short distance, making them inefficient for widespread IoT device charging.
Innovation Solution
A system utilizing a RAN controller that processes device and network data with a machine learning model to determine charging parameters, coordinates RF power beams, and authenticates IoT devices for wireless charging, enabling efficient charging across various locations and RF spectrums.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If low-powered wireless devices are used for charging, then device complexity is reduced, but charging distance is limited to a short range
Solution Approach 1:
The patent combines multiple low-powered wireless charging devices into a coordinated network under RAN controller management. By merging multiple charging sources and coordinating their RF power beams, the system achieves extended charging distance and improved power delivery without requiring individual devices to have high power capabilities alone
Solution Approach 2:
The system dynamically adjusts charging parameters including RF power beam direction, strength, and spectrum based on real-time device locations and charging needs. The RAN controller continuously monitors and reconfigures the charging network to optimize power delivery across varying distances and conditions
2Area of stationary object
If multiple chargers are deployed to extend charging range, then charging coverage is improved, but system complexity increases
Solution Approach 1:
The RAN controller serves as an intermediary that manages and coordinates multiple wireless charging devices. It handles device authentication, determines optimal charging parameters, and coordinates RF power beam delivery across the network, thereby simplifying the overall system architecture while enabling extended charging coverage through multiple chargers
3Reliability
If wireless charging is provided continuously to all devices, then device functionality is maintained, but energy consumption increases
Solution Approach 1:
The system implements feedback mechanisms where the RAN controller monitors device battery levels, charging status, and power needs. Based on this feedback, the controller selectively activates charging only for devices that require it, adjusting power delivery dynamically to maintain device functionality while minimizing overall energy consumption across the network
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
This solution allows for efficient wireless charging of IoT devices over longer distances and reduces resource consumption by optimizing charging schedules and coordinating multiple chargers, enhancing the scalability and reliability of IoT device power management.
Implementation Method 1
cause, based on the location data, one or more chargers to wirelessly provide a radio frequency power beam to the particular IoT device
Data Source
AI summary
A device may receive device data identifying Internet of Things (IoT) devices and may receive network data identifying network traffic patterns associated with the IoT devices. The device may process the device data and the network data, with a machine learning model, to determine parameters for charging each of the IoT devices and may determine that a particular IoT device of the IoT devices requires charging based on particular parameters associated with the particular IoT device. The device may receive location data identifying a location of the particular IoT device and may cause, based on the location data, one or more chargers to wirelessly provide a radio frequency power beam to the particular IoT device based on the particular parameters.