Global demand for autonomous, maintenance-free IoT solutions is surging due to labor shortages, rising operational costs, and the push for sustainable technologies. This patent aligns with the macro trend towards energy independence for edge devices, reducing reliance on traditional power sources and frequent battery replacements. It offers a critical enabler for the expansion of smart infrastructure, precision agriculture, and remote monitoring, where continuous, reliable power from ambient sources is becoming a competitive imperative.
Maximize Power Generation Efficiency Across Wide Frequencies: Adapts resonance frequency via a conductive tube, efficiently generating power from diverse radio wave sources. This significantly expands available energy sources compared to existing single-frequency technologies.
Ensure Long-Term Stable Power Generation: Maintains physical stability by preserving the coil's loop shape and insulating the conductor in close proximity. This improves power supply continuity even in harsh environments.
Enable Easy Integration into Existing Systems: Features a unique resonance frequency control mechanism superior to standard prior art, allowing easy integration into existing infrastructure. This enables deployment with minimal capital expenditure.
This patent protects a radio wave power generation device, specifically its unique coil and conductive tube structure that enables wide-frequency resonance adaptation. The robust claims, which overcame prior art rejections during examination, objectively demonstrate novelty and inventiveness, providing strong defense against future challenges and securing a broad scope of protection for licensees.
This patent primarily covers the core coil and conductive tube structure. White space exists in developing advanced power management and storage solutions, or integrating this technology with specific low-power communication protocols for niche IoT applications.
Assuming a company deploys 10,000 IoT sensors. If annual labor and battery costs for replacement are $100/unit (AI est.), this technology could reduce these costs by approximately 100%. This translates to an estimated annual operational cost reduction of $100/unit × 10,000 units = $1M (AI est.). This contributes to building a long-term power supply infrastructure.
X: Cost Efficiency
Y: Technological Superiority