Drone Wireless Network Diagnosis and Correction
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Solution Overview
Problem
Wireless network troubleshooting in residential and commercial properties is challenging due to the presence of weak signal zones and interference issues, which existing technologies fail to address effectively, leading to suboptimal network performance and user experience.
Innovation Solution
Deploying drones equipped with processors, storage devices, and diagnostic tools to navigate and analyze wireless network characteristics, detect problems, and perform corrective actions such as repositioning wireless routing components, boosting signal strength, or generating reports to improve network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional wireless network troubleshooting methods are used, then the network can be monitored from fixed locations, but weak signal zones and dead zones cannot be effectively diagnosed
Solution Approach 1:
The patent employs a drone (unmanned aerial vehicle) to dynamically move through three-dimensional space around the wireless network infrastructure. This dynamic positioning enables the diagnostic system to access and measure wireless signal characteristics in previously unreachable areas such as dead zones, weak signal zones, and elevated locations, thereby resolving the contradiction between measurement precision and spatial coverage.
Solution Approach 2:
The patent transitions from traditional two-dimensional ground-based network monitoring to three-dimensional aerial monitoring. By deploying a drone that can operate at various heights and locations throughout the property, the system gains additional spatial dimension for diagnosis, enabling comprehensive coverage of wireless signal performance throughout the entire three-dimensional space of the property.
2Ease of operation
If wireless network routing components are fixed in position, then installation is simple, but signal strength cannot be optimized for different locations
Solution Approach 1:
The patent implements an automated diagnostic and correction system where the drone autonomously identifies weak signal zones and executes corrective actions without requiring manual intervention. The system self-diagnoses network performance and self-corrects by moving routing components or adjusting their configuration, thereby maintaining ease of operation while significantly improving signal strength reliability.
Solution Approach 2:
The patent employs a feedback loop where the drone continuously monitors wireless signal characteristics, compares them against performance thresholds, and automatically triggers corrective actions when degradation is detected. This closed-loop feedback system ensures that routing components are dynamically positioned or reconfigured to maintain optimal signal strength, resolving the contradiction between simple installation and reliable signal performance.
3Measurement precision
If manual diagnosis of wireless network issues is performed, then detailed analysis can be conducted, but time consumption increases
Solution Approach 1:
The patent implements continuous automated monitoring where the drone operates repeatedly to survey the entire property and assess wireless network performance. Rather than performing discrete manual checks, the system maintains continuous presence and monitoring, executing diagnostic flights at scheduled intervals or when anomalies are detected, thereby reducing overall diagnosis time while maintaining high measurement precision through systematic, uninterrupted data collection.
Solution Approach 2:
The patent replaces manual mechanical inspection and analysis with automated electronic sensing and processing. The drone's onboard sensors automatically measure wireless signal characteristics, and the system's processors analyze the data to identify problems, eliminating the need for manual intervention in data collection and analysis. This automation significantly reduces diagnosis time while maintaining or improving detection accuracy through more comprehensive and consistent data gathering.
4Measurement precision
If existing wireless network monitoring technologies are used, then basic signal strength can be measured, but interference issues and complex network problems cannot be effectively addressed
Solution Approach 1:
The patent designs a multi-functional drone system that can perform diverse tasks including measuring wireless signal strength, detecting interference patterns, identifying network congestion, and executing corrective actions such as moving routing components or adjusting configurations. This universal platform addresses multiple types of wireless network problems with a single integrated system, thereby resolving the contradiction between basic measurement capability and comprehensive problem resolution.
Solution Approach 2:
The patent employs dynamic adjustment of multiple network parameters including signal strength thresholds, frequency channels, transmission power levels, and routing component positions. By systematically varying these parameters during diagnostic flights and corrective operations, the system can identify optimal network configurations and resolve complex interference issues, enhancing both measurement precision and adaptability to diverse network problems.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to identify a wireless network problem and initiate performance of one or more operations or actions that address the wireless network problem, the drone comprising a processor and a storage device, the storage device storing instructions that, when executed by the processor, cause the processor to perform operations comprising receiving, by the drone, an instruction to analyze a wireless network of a property, responsive to the instruction to analyze the wireless network, traveling, by the drone, to one or more zones of the property, determining, by the drone and based on an analysis of one or more characteristics of the wireless network, that a wireless network problem exists, and based on the determination that the wireless network problem exists, performing, by the drone, one or more operations directed to addressing the wireless network problem.