AI Server Orchestrating Multi-Device Control via State Monitoring

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Solution Overview

Problem

Current AI apparatuses operate independently and lack functionality to interact organically with each other, leading to delayed or impossible user interactions when an AI apparatus is unavailable due to communication issues, network problems, or software updates.

Innovation Solution

An AI apparatus and method that collect state information from multiple AI devices within a single AI system, determine a capable device for user control commands, and alternate processing when a target device is unavailable, ensuring user satisfaction by selecting the most suitable device for output based on ambient noise, distance, and speaker output levels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If AI apparatuses operate separately without organic interaction, then each apparatus can function independently, but user interaction becomes delayed or impossible when an apparatus is unavailable

Engineering Contradiction:
Improveoperation reliabilityVSAvoiduser interaction
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

Multiple AI apparatuses are merged into a unified AI system where they can detect each other's operational states and coordinate responses. When one apparatus is unavailable, other apparatuses in the system take over to maintain continuous user interaction, ensuring both reliability and ease of operation.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

An AI server acts as an intermediary that manages communication between multiple AI apparatuses and the user. The server coordinates control commands to appropriate apparatuses based on their availability states, enabling seamless user interaction even when individual apparatuses are unavailable.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If AI apparatus responds to user commands, then user interaction is maintained, but system complexity increases when managing multiple apparatus states

Engineering Contradiction:
Improveuser interactionVSAvoidsystem complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The AI server performs multiple functions including detecting apparatus states, determining availability, allocating control commands, and coordinating responses. This multi-functionality consolidates management complexity into a single universal controller rather than requiring each apparatus to independently manage the system.

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

Solution Approach 2:

The system continuously monitors operational states of AI apparatuses and uses this feedback to dynamically determine which apparatus should receive user control commands. This feedback mechanism enables the system to adapt to changing availability states while maintaining simple user interaction through automated decision-making.

Inventive Principle:
Principle #23Feedback

3Reliability

If AI apparatus collects state information from all members, then accurate availability determination is achieved, but information processing load increases

Engineering Contradiction:
Improveavailability determinationVSAvoidprocessing load
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The AI server extracts only the necessary state information (operational state and availability status) from each apparatus rather than processing all detailed operational data. This selective extraction maintains accurate availability determination while minimizing processing load and energy consumption.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS11507825B2AI apparatus and method for managing operation of artificial intelligence system
Publication Date: 2022.11.22 LG ELECTRONICS INC
  • US11507825B2 patent drawing
  • US11507825B2 patent drawing
  • US11507825B2 patent drawing

AI summary

Provided is an artificial intelligence (AI) apparatus for managing an operation of an artificial intelligence (AI) system. The AI apparatus includes: a communication unit that receives state information from at least one member AI apparatus included in the AI system, respectively; a memory that stores apparatus information on the at least one member AI apparatus, respectively; and a processor that: upon acquiring a control command of a user, determines a target member AI apparatus to perform the control command; determines whether the target member AI apparatus is capable of performing the control command or not; transmits the control command to the target member AI apparatus if the target member AI apparatus is capable of performing the control command, and outputs a response indicating that the target member AI apparatus is not capable of performing the control command if the target member AI apparatus is not capable of performing the control command.