Cloud Intelligent Robot for Private Network Diagnosis

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Solution Overview

Problem

Current private network maintenance methods are inefficient and costly, requiring manual diagnostic testing by third-party personnel, which is inconvenient and poses a risk of leakage, especially in confidential environments.

Innovation Solution

A cloud intelligent robot transmits network monitoring instructions to network devices within a private network, receives operation information, diagnoses issues, and initiates configuration updates, eliminating the need for human intervention and reducing leakage risks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual diagnostic testing by third-party personnel is used, then network maintenance can be performed, but labor cost is too high and leakage risk exists

Engineering Contradiction:

Improvenetwork maintenance reliabilityVSAvoidleakage risk

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The network device performs self-diagnosis by automatically collecting operation information and transmitting it to the cloud intelligent robot for analysis, eliminating the need for manual intervention and thereby reducing both labor costs and leakage risks associated with third-party personnel access

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

A cloud intelligent robot acts as an intermediary between the network device and maintenance personnel. The robot collects operation information from the network device, performs diagnostic analysis in the cloud, and provides feedback without requiring physical access to the confidential network environment, thus eliminating leakage risks while maintaining diagnostic capabilities

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If manual diagnostic testing is performed, then network issues can be identified, but time consuming is long

Engineering Contradiction:

Improvediagnosis accuracyVSAvoiddiagnosis time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The cloud intelligent robot continuously collects operation information from the network device and performs real-time diagnostic analysis, enabling continuous monitoring and immediate detection of network issues without the time delays associated with manual intervention

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

Manual mechanical diagnostic processes are replaced with automated electronic information collection and cloud-based intelligent analysis. The cloud intelligent robot automatically gathers operation information and applies diagnostic algorithms, significantly reducing diagnosis time while maintaining or improving accuracy through consistent automated procedures

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If third-party network access is used for testing, then diagnostic capabilities can be obtained, but convenience of access is poor and leakage risk exists

Engineering Contradiction:

Improvediagnostic capabilityVSAvoidaccess convenience

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The cloud intelligent robot serves as a secure intermediary that enables diagnostic capabilities without requiring third-party personnel to physically access the confidential network. The robot collects necessary operation information through standardized interfaces and performs analysis in the cloud, providing full diagnostic functionality while eliminating access convenience issues and leakage risks

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

Instead of requiring physical access to the original network environment, the cloud intelligent robot creates a virtual copy of the network state by collecting and analyzing operation information. This digital replica enables complete diagnostic capabilities without the need for physical presence in the confidential network space

Inventive Principle:

Principle #26Copying

Data Source

PatentUS11228514B2Network diagnosis method, cloud intelligent robot, network device and private network

Publication Date: 2022.01.18 CHONGQING XINGJIE SHUXING TECHNOLOGY PARTNERSHIP ENTERPRISE (LLP)

AI summary

A network diagnosis method, a cloud intelligent robot, a network device and a private network, relate to the technical field of communications, and are used for solving the technical problems of having low diagnosis efficiency and leakage risk for a private network in the prior art. The method comprises: an cloud intelligent robot transmitting a network monitoring instruction to a network device in a private network; receiving operation information transmitted by the network device according to the network monitoring instruction; diagnosing the network device according to the operation information to obtain a diagnosis result; and initiating a network configuration information update of the private network according to the diagnosis result.