Wireless Power Antenna Array Fail-Safe Control
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Solution Overview
Problem
Current wireless power transmission systems face challenges in accurately transmitting power over larger distances and maintaining efficient communication due to the need for precise component location and dynamic environment adjustments, with issues arising from component failures that can disrupt service.
Innovation Solution
A method and system that monitor and analyze control signals and states in a wireless power transmission system using an array of antennas, identifying potential problems and activating mitigation protocols, such as deactivating faulty antennas, and sending notifications for corrective action, utilizing a fail-safe protection module and pattern matching engine to ensure continuous operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If wireless power transmission systems use sophisticated signal transmitting and receiving components to transmit power over larger distances, then power transmission capability is improved, but system complexity and susceptibility to component failure increase
Solution Approach 1:
The system divides the antenna array into multiple independently controllable antenna elements. Each antenna can be individually monitored, controlled, and deactivated if needed, allowing the system to maintain complex transmission capabilities while managing failure risks through modular segmentation of the antenna system
Solution Approach 2:
The system implements continuous monitoring of antenna states and control signals with automated fail-safe protection. The monitoring system detects anomalies in real-time and triggers mitigation protocols, providing feedback loops that maintain system reliability despite the complexity of long-distance transmission components
2Measurement precision
If the system continuously monitors and adjusts antenna states to maintain accurate power transmission, then transmission accuracy is improved, but energy consumption increases
Solution Approach 1:
The system performs monitoring and state adjustments at specific intervals and triggered events rather than continuously. The fail-safe protection activates mitigation protocols only when anomalies are detected, allowing the system to maintain measurement precision when needed while reducing energy consumption during normal operation
Solution Approach 2:
The system pre-configures multiple antenna states and control signal patterns for different transmission scenarios. By having predetermined configurations ready, the system can quickly adjust to maintain accuracy without continuous real-time computation, reducing energy consumption while preserving measurement precision
3Reliability
If the system activates mitigation protocols to correct antenna failures, then system reliability is improved, but operational time to recover from failure increases
Solution Approach 1:
The system pre-configures multiple antenna states and control signal patterns for different transmission scenarios. By having predetermined configurations ready, the system can quickly switch to alternative arrangements when failures occur, improving reliability while minimizing recovery time through pre-prepared mitigation strategies
Solution Approach 2:
The fail-safe protection system automatically detects anomalies and activates mitigation protocols without external intervention. The system self-corrects by deactivating faulty antennas and reconfiguring the remaining antennas to maintain power transmission, reducing recovery time through automated self-service rather than manual intervention
Data Source
AI summary
Various embodiments of the present technology relate generally to wireless power systems. More specifically, some embodiments relate to identifying and correcting failures within wireless power systems (or any other system that is subject to design/device fault). Some embodiments monitor multiple states/control signals in a wireless power transmission system having an array of antenna. A determination can be made as to whether each of the multiple states are in an expected configuration (or make the expected transitions implying different states during normal operations). For examples, this can include identifying whether each antenna in the array of antennas is in a transmitting or receiving state. Any problems (e.g., timing problems, antennas stuck in a Tx or Rx state, controller malfunction, etc.) within the system can be detected by analyzing the multiple states/control signals and compare them against expected behavior/configuration. Some embodiments can activate a mitigation protocol and/or recovery through re-try/re-initialization/re-boot processes.