Distributed Expert System for Communication Device Problem Resolution

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Solution Overview

Problem

Conventional communication device problem resolution methods require direct interaction with a centralized expert system, compromising network security and scalability, and necessitate excessive time and resources due to human intervention and processing bottlenecks.

Innovation Solution

A distributed expert system with a hierarchical structure, comprising a central controller, local agents, and active managers, allowing local resolution of device problems using local knowledge bases and reducing reliance on human intervention and central system access.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a centralized expert system is used for problem resolution, then problem analysis and resolution capability is improved, but network security is compromised and scalability deteriorates

Engineering Contradiction:

Improveproblem resolution capabilityVSAvoidnetwork security risk

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The centralized expert system is segmented into distributed intelligent agents deployed across multiple network nodes. Each agent possesses localized problem-solving capabilities, eliminating the need for centralized access while maintaining security. The system divides the monolithic expert system into modular components that operate autonomously yet cooperatively.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system transitions from a single-dimensional centralized architecture to a multi-dimensional distributed architecture. Intelligent agents are deployed across spatial dimensions (different network nodes) and functional dimensions (different problem-solving specializations), creating a three-dimensional problem-solving space that enhances both security and scalability.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Reliability

If a centralized expert system directly accesses communication devices for problem resolution, then satisfactory problem resolution is achieved, but time and resources required increase excessively

Engineering Contradiction:

Improveproblem resolution effectivenessVSAvoidtime required for problem resolution

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

Intelligent agents are pre-deployed at network nodes with pre-loaded knowledge bases and problem-solving algorithms. When problems occur, resolution actions can be executed immediately by local agents without waiting for centralized system activation, significantly reducing response time while maintaining effective problem resolution.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables self-service problem resolution through autonomous intelligent agents that can independently diagnose and resolve communication device problems. Agents perform self-testing, self-diagnosis, and self-correction functions, eliminating the need for time-consuming centralized intervention for routine problems.

Inventive Principle:

Principle #25Self-service

3Adaptability or versatility

If a centralized expert system is used to support multiple communication devices, then comprehensive problem coverage is achieved, but processing bottleneck increases with number of devices

Engineering Contradiction:

Improveproblem coverage capabilityVSAvoidsystem processing capacity

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The centralized expert system's knowledge base and processing capacity are segmented and distributed across multiple intelligent agents deployed at different network nodes. Each agent handles a portion of the total problem-solving load, allowing the system to scale horizontally by adding more agents without creating centralized processing bottlenecks.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The distributed intelligent agents are designed with universal problem-solving capabilities that allow them to handle diverse communication device problems. Each agent can function independently for local problems while also collaborating with other agents for complex issues, providing comprehensive coverage across multiple device types and problem domains.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS7302611B2Distributed expert system for automated problem resolution in a communication system

Publication Date: 2007.11.27 AVAYA INC

AI summary

A communication system processing element comprises a processor coupled to a memory and implements at least a portion of a distributed expert system. The distributed expert system is arranged in at least two hierarchical levels, including an upper level comprising a central controller, and a lower level comprising a plurality of local agents each associated with one or more communication devices of the system.