Wind Park Manager System for Event Correlation
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Solution Overview
Problem
Automotive systems, such as wind parks and factories, face challenges in effectively correlating machine events with IT system events to determine root causes of issues, leading to delayed or incorrect identification of problems and resolution actions.
Innovation Solution
A wind park manager system that receives and correlates machine events and IT system events using an agent to gather and process data from wind turbines, IT systems, and power grid interfaces, enabling the determination of root causes and generating alerts or taking action to resolve issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a central control station manages automative systems through a communication network, then system monitoring capability is improved, but system complexity increases
Solution Approach 1:
The patent segments the monitoring system into distributed agents deployed at various locations within the automative system (wind park, factory, etc.). Each agent independently collects and processes local events, reducing the burden on the central control station and simplifying the overall system architecture while maintaining comprehensive monitoring capability.
Solution Approach 2:
The patent introduces an intermediary event correlation service that acts as a mediator between distributed agents and the central control station. This service receives events from multiple agents, correlates them to identify root causes, and presents unified diagnostic information to operators, thereby reducing system complexity while improving monitoring effectiveness.
2Ease of manufacture
If machine events and IT system events are collected separately, then data collection simplicity is improved, but root cause identification accuracy deteriorates
Solution Approach 1:
The patent merges machine events and IT system events into a unified event correlation framework. The event correlation service processes both types of events together, analyzing their relationships to accurately identify root causes. This combining approach maintains data collection simplicity while dramatically improving root cause identification accuracy through comprehensive event analysis.
3Productivity
If event correlation is performed without integrating IT system events, then processing speed is improved, but diagnostic accuracy deteriorates
Solution Approach 1:
The patent implements preliminary action by having distributed agents collect and pre-process events locally before transmission to the central correlation service. This preliminary event gathering and filtering at the edge enables faster initial processing while preserving all necessary data for accurate subsequent correlation analysis, thus maintaining both processing speed and diagnostic accuracy.
Data Source
AI summary
A automative management server for receiving information technology system events and wind turbine events; correlating the information technology system event with the wind turbine event to determine a cause of an event; and generating an alert reporting the cause of the event or taking action to resolve the root cause of the event.