IoT Noise Control Service Engine for Activity Context

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Solution Overview

Problem

Conventional sound adjustment mechanisms primarily focus on enhancing sound delivery and volume control, failing to effectively manage noise levels in environments to prevent disturbances during specific activities, especially in IoT-enabled settings.

Innovation Solution

A method utilizing IoT devices and a noise control service engine that analyzes context data to generate noise control handles, preventing sounds louder than a specified tolerance level through direct control, proactive notifications, and reactive notifications to maintain optimal noise levels during activities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If conventional sound adjustment mechanisms are used, then sound delivery is enhanced, but noise levels cannot be effectively managed to prevent disturbances during specific activities

Engineering Contradiction:
Improvesound delivery enhancementVSAvoidnoise disturbance during activities
Core Design Contradiction:
Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The patent introduces a noise control service engine as an intermediary system between sound sources and activities. This engine receives notifications about activities from activity providers, analyzes context data, and generates noise control handles that mediate between potential noise sources and protected activities, preventing noise disturbances while maintaining sound delivery capabilities.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback mechanisms where the noise control service engine continuously monitors activity status and context data, adjusts noise control handles dynamically, and performs operations to maintain noise levels within tolerance thresholds. The engine receives feedback about activity progression and modifies noise control actions accordingly.

Inventive Principle:
Principle #23Feedback

2Object-affected harmful factors

If noise control operations are performed to prevent disturbances, then noise levels are controlled, but system complexity increases

Engineering Contradiction:
Improvenoise disturbance preventionVSAvoidsystem complexity
Core Design Contradiction:
Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The patent segments the noise control functionality into distinct modular components: activity providers who notify the system, a noise control service engine that processes requests, context data analyzers, and noise control handle generators. This segmentation allows each component to perform its specific function independently, reducing overall system complexity while achieving effective noise control.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The noise control service engine serves multiple functions: receiving activity notifications, analyzing context data from various sources, generating different types of noise control handles, and executing noise control operations. This multi-functionality consolidates what could be multiple separate systems into a single versatile engine, reducing complexity.

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

3Measurement precision

If context analysis is performed to generate appropriate noise control handles, then noise control accuracy is improved, but processing time increases

Engineering Contradiction:
Improvenoise control accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by establishing activity notifications in advance, where activity providers pre-register activities and their associated context parameters. The noise control service engine pre-processes context data and generates noise control handles before actual noise control is needed, reducing real-time processing requirements while maintaining accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The context analysis performs partial action by focusing only on the specific context parameters relevant to each activity type, rather than analyzing all possible data. The system selectively processes only the necessary context data needed for generating appropriate noise control handles, reducing processing time while maintaining sufficient accuracy for effective noise control.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS10241747B2Noise control service for activities
Publication Date: 2019.03.26 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US10241747B2 patent drawing
  • US10241747B2 patent drawing
  • US10241747B2 patent drawing

AI summary

Methods, computer program products, and systems are presented. The methods include, for instance: obtaining data relevant to an activity from one or more device in an environment. For the activity presently ongoing, a context of the activity is analyzed and one or more noise control handle for the activity is generated based on the context of the activity. One or more operation specified in the one or more noise control handle is performed to prevent a noise louder than a noise tolerance level for the activity in a boundary of the activity.