Intent-Based Network Command Generation System

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Solution Overview

Problem

Current methods for managing and configuring utility systems and communication networks are complex and prone to errors, requiring extensive knowledge and experience, leading to potential disruptions and increased costs due to human-generated commands.

Innovation Solution

An Intent-based Network (IBN) system that interprets natural language input to determine user intent, decomposes high-level tasks into sub-tasks, and automatically or semi-automatically generates appropriate network commands, reducing cognitive load and the risk of configuration errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If human operators manually generate commands for network configuration, then system control and customization are achieved, but error rates increase and reliability decreases

Engineering Contradiction:
Improveconfiguration accuracyVSAvoidoperational complexity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system enables self-service automation where the network management system automatically generates, validates, and executes configuration commands based on high-level intent specifications, eliminating the need for manual command generation by operators and thereby reducing errors while maintaining control

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

An intermediary automated command generation system is introduced between the operator's intent and the network configuration execution. This intermediary automatically translates high-level intent into precise configuration commands, validating them before execution, thus improving reliability without increasing operational complexity for the end user

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If extensive system knowledge and experience are required for command generation, then configuration precision can be maintained, but productivity decreases and training costs increase

Engineering Contradiction:
Improvecommand generation efficiencyVSAvoidsystem knowledge requirement
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system replaces the mechanical process of manual command generation requiring expert knowledge with an automated computational system. The automated system uses algorithms and validation mechanisms to generate and verify configuration commands, eliminating the need for operators to possess extensive system knowledge while maintaining configuration precision and improving productivity

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Loss of time

If manual configuration methods are used, then flexibility in task execution is maintained, but time consumption and downtime increase

Engineering Contradiction:
Improveconfiguration timeVSAvoidtask execution flexibility
Core Design Contradiction:
Loss of timeVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary automated validation and command generation before configuration execution. By pre-validating commands and preparing configuration sequences automatically, the system reduces actual execution time and downtime while maintaining the flexibility to handle various configuration scenarios through programmable intent specifications

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20240177710A1Command generation system and method of issuing commands
Publication Date: 2024.05.30 HITACHI ENERGY LTD
  • US20240177710A1 patent drawing
  • US20240177710A1 patent drawing
  • US20240177710A1 patent drawing

AI summary

A command generation system for issuing commands to an actor of a utility system, industrial system or communication network implements an Intent-based Network and comprises a first interface operative to receive natural language input that specifies a task to be executed, one or several processing modules operative to perform a stateful intent resolution process to determine a user's intent expressed by the natural language input and to generate at least one command based on the determined intent, and a second interface operative to issue the at least one command to the actor to cause execution of the task in the utility system, industrial system or communication network.