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
Engineering Contradiction Analysis
1Reliability
If audit patrols with dedicated vehicles are used to detect faults, then fault detection capability is improved, but maintenance cost increases
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.
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.
2Extent of automation
If autonomous fault detection is implemented, then human intervention is reduced, but system complexity increases
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.
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.
3Productivity
If dedicated vehicle fleets are maintained for audit patrols, then continuous fault detection is improved, but operational cost increases
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.
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.
Data Source
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.


