Applying Core Technology to Diverse Industries
Legal Citation
Summary of the Inventive Concept
This inventive concept leverages the core technology of managing storage of sensed information to address unmet needs in various industries, including environmental monitoring, supply chain logistics, personalized education, natural disaster prediction, and energy consumption optimization.
Background and Problem Solved
The original patent focused on managing storage of sensed information in medical devices. However, the limitations of this approach became apparent when considering its application to other industries. This inventive concept addresses these limitations by adapting the core technology to tackle diverse challenges, such as urban planning, demand forecasting, tailored education, disaster preparedness, and energy efficiency.
Detailed Description of the Inventive Concept
The inventive concept comprises a system with a sensor network or data collection module, processing circuitry, and analysis or machine learning algorithms. In environmental monitoring, the system collects air quality, noise pollution, and weather pattern data to inform urban planning. In supply chain logistics, the system predicts demand and adjusts shipping routes using machine learning. In personalized education, the system provides tailored content and recommends optimal learning pathways based on student performance and habits. In natural disaster prediction, the system analyzes seismic activity, weather patterns, and ocean currents to provide early warnings. In energy consumption optimization, the system provides real-time recommendations for energy efficiency and cost savings.
Novelty and Inventive Step
The new claims introduce an inventive step by applying the core technology to entirely new industries and use cases, thereby expanding its potential impact and value. The novelty lies in the adaptation of the original patent's concepts to address distinct challenges and opportunities in various fields.
Alternative Embodiments and Variations
Alternative embodiments of this inventive concept could include integrating additional data sources, such as social media or IoT devices, to enhance the accuracy and scope of the system's analysis. Variations could involve applying the core technology to other industries, such as healthcare, finance, or transportation, to address specific pain points and opportunities.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential across multiple industries, including environmental monitoring, supply chain logistics, education technology, disaster risk reduction, and energy management. The target market includes government agencies, private companies, and non-profit organizations seeking innovative solutions to pressing challenges.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical device information management and sensor data processing systems, with expertise in signal collection, analysis, and storage techniques across sensor networks and processing platforms
Person of Ordinary Skill (PHOSITA) Profile
An engineer with advanced degree in electrical engineering or biomedical engineering, experienced in sensor data processing, machine learning algorithms, signal analysis, and cross-domain technology adaptation
Obviousness Rationale
A PHOSITA would recognize that the core technical principles of signal collection, processing, and storage disclosed in the source patent can be readily adapted to multiple domains by applying standard engineering techniques. The fundamental architecture of sensor data collection, signal processing, and machine learning inference remains consistent across different application contexts. The variations presented in the PTD represent predictable extensions of the source patent's core technological framework.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,793 |
|---|---|
| Title | Managing storage of sensed information |
| Assignee(s) | Medtronic, Inc. |