Plug-and-play IoT Base Pad with Pluggable Components

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Solution Overview

Problem

IoT systems are often sold as complete, non-reconfigurable units, forcing users to upgrade entire systems due to poor performance or planned obsolescence, and AI optimization is poor since AI models are determined after hardware and software specifications are finalized, limiting customization and efficiency.

Innovation Solution

A learning-rooted IoT platform with a plug-and-play base pad that hosts pluggable components, featuring an administration chip, microcontroller, and power management unit, allowing users to customize and reconfigure IoT devices easily, with self-aware integration and security features for efficient AI-centric applications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If IoT systems are sold as complete non-reconfigurable units, then system reliability is improved, but adaptability deteriorates

Engineering Contradiction:
Improvesystem reliabilityVSAvoidreconfigurability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent divides the IoT system into a base unit and multiple pluggable components. The base unit contains core functionality while pluggable components provide specialized functions (sensors, actuators, communication modules). Users can selectively attach and detach components based on needs, achieving both reliability through modular design and adaptability through reconfiguration.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The base unit is designed with universal interfaces and standardized protocols that allow it to work with multiple types of pluggable components. The administration chip and microcontroller in the base unit can manage different component types, enabling a single base unit to support diverse functionality while maintaining system reliability.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Ease of manufacture

If users must upgrade entire systems due to planned obsolescence, then manufacturing simplicity is improved, but loss of substance increases

Engineering Contradiction:
Improvemanufacturing simplicityVSAvoidelectronic waste
Core Design Contradiction:
Ease of manufactureVSLoss of substance

Solution Approach 1:

The modular architecture allows users to discard only the obsolete pluggable components while retaining the base unit and functional components. The administration chip tracks component lifecycles and enables selective replacement, reducing electronic waste by recovering reusable components instead of discarding entire systems.

Inventive Principle:
Principle #34Discarding and recovering

3Device complexity

If AI models are determined after hardware specifications are finalized, then device complexity is reduced, but AI optimization deteriorates

Engineering Contradiction:
Improvedesign process complexityVSAvoidAI optimization
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent incorporates AI capabilities as a core feature of the pluggable components from the design stage. AI models are pre-loaded in the pluggable components, and the administration chip is designed to automatically detect, configure, and integrate AI functionality. This preliminary integration ensures optimal AI performance while the standardized interface keeps the overall design process manageable.

Inventive Principle:
Principle #10Preliminary action

4Adaptability or versatility

If pluggable components are added to enable customization, then adaptability is improved, but device complexity increases

Engineering Contradiction:
Improvecustomization capabilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The administration chip serves as an intermediary between the base unit and pluggable components. It automatically detects attached components, configures their parameters, manages communication protocols, and coordinates their operation. This intermediary layer abstracts the complexity of component integration from the user, enabling customization without increasing perceived system complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20230029652A1Learning-rooted IoT platform
Publication Date: 2023.02.02 UNIV OF FLORIDA RESEARCH FOUNDATION INC
  • US20230029652A1 patent drawing
  • US20230029652A1 patent drawing
  • US20230029652A1 patent drawing

AI summary

Embodiments provide for a learning-rooted IoT platform. In example embodiments, a plug-and-play base pad apparatus includes one or more ports, each configured for hosting a pluggable component. The plug-and-play base pad apparatus further includes one or more of an administration chip or a microcontroller configured to control the apparatus and the one or more ports. The plug-and-play base pad apparatus further includes a battery configured to power the apparatus. The plug-and-play base pad apparatus further includes a power management unit configured to monitor the battery and interface with charging mechanisms.