Automated Alarm-Operator Linkage Determination
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Solution Overview
Problem
Existing systems for industrial plants lack accurate automatic determination of alarm-operator action linkage, which hinders efficient operator assessment and alarm guidance, leading to delayed and ineffective resolution of recurring process alarms.
Innovation Solution
The system uses custom graphics and control charts to automatically determine alarm-operator action linkage by extracting information from process control system data, generating tuples, and performing rectifying operations in industrial process control and automation systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis methods are used for alarm-operator action linkage, then operator assessment can be performed, but the process is time-consuming and lacks accuracy
Solution Approach 1:
The patent replaces manual mechanical analysis methods with an automated computer-based system that uses machine learning models and algorithms to determine alarm-operator action linkage. The system automatically processes process control data, generates tuples representing alarm sequences, and identifies corrective actions without human intervention, thereby achieving both high accuracy and time efficiency.
Solution Approach 2:
The patent introduces an intermediary automated analysis system that acts as a mediator between raw process control data and operator assessment results. This intermediary system processes data through multiple stages including tuple generation, machine learning model application, and corrective action identification, enabling accurate and rapid determination of alarm-operator action relationships.
2Productivity
If automated systems are implemented for alarm analysis, then processing speed improves, but system complexity increases
Solution Approach 1:
The patent segments the automated alarm analysis system into distinct modular components: data reception module, tuple generation module, machine learning model application module, and corrective action identification module. Each module performs a specific function and processes data in a structured sequence, which manages system complexity while maintaining high processing speed and productivity.
3Measurement precision
If detailed process control system data is analyzed, then accuracy of operator assessment improves, but data processing complexity increases
Solution Approach 1:
The patent extracts only the essential and relevant information from comprehensive process control system data to generate simplified tuples that represent alarm sequences and operator actions. This extraction process filters out unnecessary details while preserving critical information needed for accurate operator competency assessment, thereby reducing processing difficulty while maintaining assessment accuracy.
Data Source
AI summary
An apparatus, method, and non-transitory machine-readable medium provide for accurate automatic determination of alarm-operator action linkage for operator assessment and alarm guidance using custom graphics and control charts. The apparatus includes a memory and a processor operably connected to the memory. The processor receives process control system data regarding a field device in an industrial process control and automation system; extracts information from the process control system data; generates a tuple based on the extracted information; and performs a rectifying operation in the industrial process control and automation system based on the generated tuple of the field device.