Autonomous Fault Detection in Cable Networks

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Solution Overview

Problem

Current methods for detecting faults in transmission line networks, such as coaxial cable distribution networks, require expensive audit patrols with dedicated vehicles, which are costly to maintain and rely on human intervention.

Innovation Solution

An autonomous geo-referenced fault data storage and management system using an application server architecture, equipped with automatic fault detection devices (AFDD) in vehicles that can detect and relay geo-referenced fault data to a server without human intervention, allowing for continuous database updates and fault management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If audit patrols with dedicated vehicles are used to detect faults, then fault detection capability is improved, but maintenance cost increases

Engineering Contradiction:
Improvefault detection capabilityVSAvoidmaintenance cost
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The system allows any vehicle equipped with the AFDD device to perform fault detection, not just dedicated patrol vehicles. The server coordinates multiple vehicles that can be deployed flexibly across different network segments, making the detection capability universal rather than requiring specialized dedicated vehicles for each route.

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

Solution Approach 2:

Instead of maintaining multiple dedicated patrol vehicles, the system uses a centralized server that coordinates and manages detection activities across multiple standard vehicles. The server creates virtual patrol routes and assigns detection tasks, replacing the need for physical dedicated patrol infrastructure with a digital coordination system.

Inventive Principle:
Principle #26Copying

2Extent of automation

If autonomous fault detection is implemented, then human intervention is reduced, but system complexity increases

Engineering Contradiction:
Improvehuman intervention requirementVSAvoidsystem complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The server acts as an intermediary between the AFDD devices in vehicles and the fault management system. It receives raw detection data, processes it autonomously to determine fault conditions, and generates work orders automatically. This intermediary layer handles the complexity of automation logic centrally, keeping individual vehicle systems relatively simple while achieving high-level autonomy.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs self-diagnosis and self-management through the server that automatically processes detection data, identifies faults, and generates work orders without human intervention. The autonomous operation is achieved through pre-programmed algorithms that enable the system to service itself, reducing the need for complex human-operated control mechanisms.

Inventive Principle:
Principle #25Self-service

3Productivity

If dedicated vehicle fleets are maintained for audit patrols, then continuous fault detection is improved, but operational cost increases

Engineering Contradiction:
Improvecontinuous fault detectionVSAvoidoperational cost
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The system dynamically assigns detection tasks to available vehicles based on real-time needs and vehicle availability. Rather than maintaining fixed dedicated fleets for specific routes, the server can dynamically route any equipped vehicle to areas requiring detection, optimizing resource utilization and reducing the total number of vehicles needed while maintaining continuous detection coverage.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system implements periodic fault detection through scheduled server-coordinated vehicle deployments. Instead of requiring continuous operation of dedicated patrol vehicles, the server organizes periodic detection cycles where vehicles are deployed as needed, reducing operational costs while maintaining adequate detection coverage through systematic periodic monitoring.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS7360124B2Autonomous network fault detection and management system
Publication Date: 2008.04.15 14677293 CANADA INC
  • US7360124B2 patent drawing
  • US7360124B2 patent drawing
  • US7360124B2 patent drawing

AI summary

The invention provides an autonomous geo-referenced fault data detection, storage and management system and method for transmission line network such as cable distribution networks, based on an application server architecture, wherein autonomous means automatic and without the need of human intervention. The system comprises a server having a database and a network interface adapted to be linked to a communication network, the network interface for receiving and relaying data to the server, the data comprising at least one of fault data and management data, the fault data comprising at least one of geo-referenced ingress data and geo-referenced egress data and the management data comprising at least one of user data, administrator data and fault status data, the server autonomously updating the database by incorporating the relayed data in the database to provide a stored data.