Intervention Management Proxy Agents for Network Workflow Automation
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Solution Overview
Problem
Current systems for managing telecommunications networks lack direct interaction with network and service management platforms, leading to inefficiencies in problem-solving times, lack of formal knowledge representation, and incomplete guidance for technicians, which hinders effective and safe execution of interventions.
Innovation Solution
A distributed architecture of intervention management proxy agents interacts with Resource Proxy agents to generate instruction signals in the form of workflows, enabling real-time feedback, automatic data supply, and standardized command execution, while providing unambiguous activity descriptions and comprehensive step-by-step guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If Knowledge Management Systems are used to support workforce and customer activities, then operational knowledge can be shared and accessed, but direct interaction with network and service management platforms is lacking, leading to extended problem-solving times
Solution Approach 1:
The patent introduces a Knowledge Management System that acts as an intermediary between the workforce/customers and the network management platforms. The KM system generates instruction signals that are transmitted to the platforms, enabling indirect but effective interaction. This mediator bridges the gap by translating operational knowledge into actionable commands that the management platforms can execute, thereby reducing problem-solving time while maintaining knowledge sharing capabilities.
2Ease of operation
If formal knowledge representation tools are introduced to provide unambiguous activity descriptions, then guidance completeness improves, but system complexity increases
Solution Approach 1:
The patent segments the knowledge representation into structured workflows composed of discrete instruction signals. Each workflow represents a specific intervention procedure broken down into sequential steps, making the knowledge both formal and manageable. This segmentation allows comprehensive guidance to be provided without overwhelming system complexity, as each segment can be independently validated and executed.
3Productivity
If automated workflow generation is implemented to reduce manual intervention, then productivity increases, but the need for structured knowledge representation and system integration increases complexity
Solution Approach 1:
The patent implements preliminary action by pre-structuring operational knowledge into formal workflows before they are needed. The Knowledge Management System maintains a library of predefined instruction signals and workflows that can be automatically selected and executed based on the situation. This preliminary structuring enables automated workflow generation when needed, improving productivity while managing complexity through reuse of pre-validate d knowledge structures.
Data Source
AI summary
A system for generating instruction signals arranged in workflow for performing interventions on network equipment included in a communication network, wherein the equipment is associated with resource proxy agents, each responsible for managing a single equipment in the network. The system includes a distributed architecture of intervention management proxy agents to generate the instruction signals. The intervention management proxy agents are interactively coupled with the resource proxy agents, whereby the instruction signals are a function of the status of the equipment in the network on which the interventions are performed.