IoT Device Management via Hybrid Machine Learning and Sensor Coupling

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Solution Overview

Problem

Current technologies face challenges in efficiently configuring and managing IoT devices to achieve specific operational states in environments, particularly when dealing with heterogeneous device types and changing environmental conditions, leading to unnecessary power consumption.

Innovation Solution

A system that automatically generates a loose coupling between IoT devices and environmental sensors, allowing for the optimization of device activation to minimize power consumption while maintaining desired conditions, using a hybrid machine learning/expert system to manage and operate IoT devices without manual user input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual configuration of IoT devices is used to achieve desired environmental conditions, then device operational control is possible, but user effort and time consumption increase significantly

Engineering Contradiction:

Improveease of device configurationVSAvoidtime for manual grouping and parameter setting

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system performs self-configuration by automatically discovering IoT devices, grouping them based on environmental sensor data and device capabilities, and optimizing operational parameters without requiring manual user input for each device

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-configures device groupings and operational parameters in advance by analyzing environmental conditions and device characteristics, so that when deployment occurs, the devices are already optimized for their intended functions

Inventive Principle:

Principle #10Preliminary action

2Reliability

If more IoT devices are activated to maintain desired environmental conditions, then environmental control reliability improves, but power consumption increases

Engineering Contradiction:

Improvereliability of environmental condition maintenanceVSAvoidpower consumption of IoT devices

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system dynamically adjusts operational parameters such as device activation states, power levels, and operational intensity based on real-time environmental sensor feedback, thereby maintaining reliability while optimizing energy consumption

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system implements dynamic device management where device activation and operational parameters are continuously adjusted based on changing environmental conditions, allowing the system to maintain reliability only when and where necessary

Inventive Principle:

Principle #15Dynamics

3Adaptability or versatility

If heterogeneous IoT device types with different specifications are deployed to meet diverse environmental needs, then system adaptability improves, but configuration complexity increases

Engineering Contradiction:

Improveadaptability to different environmental conditionsVSAvoidcomplexity of device grouping and parameter configuration

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system implements a universal configuration framework that automatically adapts to heterogeneous device types by discovering device capabilities, inferring appropriate groupings, and applying suitable operational parameters based on environmental context rather than requiring device-specific manual configuration

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system introduces an intermediary layer (the configuration system) that translates between diverse device types and the environmental control objectives, automatically matching devices to appropriate groups and functions based on their capabilities and environmental requirements

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11599828B2Management and operation of loosely coupled internet of things devices

Publication Date: 2023.03.07 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

A loose coupling between Internet of Things (“IoT”) devices and environmental sensors is generated. Once the loose coupling has been generated, conditions in a physical environment can be managed utilizing the loosely coupled devices. For example, a hybrid machine learning/expert system can be utilized to activate the IoT devices in an environment to achieve a desired condition in an optimized manner.