Automation Protocol Log Standardization for Faster Event Analysis
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Solution Overview
Problem
In large-scale technical plants like power and chemical plants, the complexity and volume of log files generated from sensors and actuators make it difficult for operators to analyze and understand events, especially during abnormal incidents, due to the heterogeneity and incompatibility of log files, leading to increased workload and risk of missed or misinterpreted data.
Innovation Solution
A method involving agent-based software to identify and transform relevant log files from different types into standardized formats, allowing for uniform analysis through statistical, time, event, pattern, and sequence analyses, reducing data volume and enhancing clarity and speed of information processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple types of log files are generated to monitor different components and events, then the monitoring coverage and detection capability are improved, but the complexity of data processing and analysis increases
Solution Approach 1:
The patent segments the heterogeneous log files into different categories based on their types and characteristics. By dividing the log processing task into segments handling different log types separately, the system maintains comprehensive monitoring coverage while reducing the overall processing complexity through modularized handling of each log category.
Solution Approach 2:
The patent introduces an intermediary log processing layer that standardizes and normalizes data from multiple heterogeneous log sources before analysis. This intermediary layer acts as a mediator that converts diverse log formats into a unified structure, enabling simplified downstream processing while preserving the comprehensive monitoring capability.
2Loss of information
If all generated log files are processed and analyzed, then complete event detection and analysis capability is improved, but the time required for analysis and operator workload increases
Solution Approach 1:
The patent extracts and prioritizes critical information from log files by identifying and separating significant events from routine data. By extracting only the most relevant log entries that indicate actual problems or anomalies, the system maintains complete event detection capability while significantly reducing the time required for analysis and operator workload.
Solution Approach 2:
The patent applies different processing qualities and depths to different log files based on their importance and characteristics. Critical logs receive more thorough analysis while routine logs are processed more efficiently, allowing complete event detection with optimized time investment distributed according to local importance rather than uniform processing of all logs.
3Measurement precision
If log files from different sources and types are analyzed using different methods, then the accuracy of analysis for each specific log type is improved, but the uniformity and ease of processing across all logs deteriorates
Solution Approach 1:
The patent creates a universal log processing framework that can handle multiple log types through a common interface and standardized processing pipeline. This multi-functional system maintains the ability to apply type-specific analysis methods while presenting a uniform processing approach, thereby preserving analysis accuracy across different log types while improving overall processing uniformity and ease of operation.
Data Source
AI summary
A method for automatically generating and processing a number of protocol files of different types of an automation system of a technical plant includes identifying a number of relevant protocol files of different types from the generated protocol files based on at least one protocol parameter, transforming the identified relevant protocol files of different types into relevant standardized protocol files of the same type by using an agent-based software, analyzing and/or processing data sets of the relevant standardized protocol files of the same type, and outputting and/or saving the data sets of the relevant standardized protocol files.