Process Hazard Analysis Software Automating Data Integration
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Solution Overview
Problem
Current process hazard analysis methods are labor-intensive and prone to errors due to the lack of automation and organization of process information, requiring manual data entry from various databases and control systems, which slows down the analysis and increases the chances of producing incorrect assessments.
Innovation Solution
A software application that imports and organizes process data from external databases into internal master lists, allowing users to create node records and associate data using guidewords, filter criteria, and generate customized reports, ensuring accurate and comprehensive hazard assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data entry from various databases and control systems is used, then process hazard analysis can be performed, but the analysis becomes labor-intensive and time-consuming
Solution Approach 1:
The system pre-organizes process information into structured databases with standardized formats before analysis is needed. Data from multiple sources (process control systems, equipment databases, safety databases) is collected, validated, and stored in advance, so that when hazard analysis is required, the information is already prepared and accessible, eliminating manual data gathering and entry time
Solution Approach 2:
A software application acts as an intermediary between various data sources (databases, control systems) and the hazard analysis process. This intermediary automatically retrieves, integrates, and organizes data from multiple sources, presenting it in a unified format ready for analysis, thereby eliminating manual data collection and reducing errors
2Reliability
If manual data entry from various databases and control systems is used, then process hazard analysis can be performed, but the work becomes labor-intensive
Solution Approach 1:
The system performs self-service by automatically retrieving data from connected databases and control systems without requiring manual intervention. The software autonomously queries data sources, validates information consistency, and prepares analysis-ready datasets, significantly reducing the labor intensity and increasing productivity of the hazard analysis process
Solution Approach 2:
The software application serves as an automated intermediary that handles all data retrieval, integration, and preparation tasks. It connects to multiple data sources, automatically extracts relevant information, and organizes it according to hazard analysis requirements, eliminating manual data entry work and improving analyst productivity
3Device complexity
If process information is not organized and automated, then various databases can store information, but errors increase and assessments become incorrect
Solution Approach 1:
The information system is segmented into distinct functional modules: data acquisition module, data validation module, data integration module, and analysis module. Each module has specific responsibilities and data validation rules, ensuring that information is organized systematically and errors are caught at appropriate stages, thereby improving reliability without excessive complexity
Solution Approach 2:
The software application provides universal functionality by handling multiple data sources (process control systems, equipment databases, safety databases) through a single integrated interface. It performs data retrieval, validation, integration, and presentation across different hazard analysis methods (HAZOP, LOPA, What-If), ensuring consistent data quality and accuracy throughout the system
Data Source
AI summary
A software application implementable on a computer system for performing process hazard analysis. The process has a plurality of nodes with equipment, and process data created by external applications is stored in a plurality of external databases on the computer system. A plurality of internal master lists are created for the software application by importing the process data from the external databases into the software application. A node record for each node of the process is compiled by inputting information on the node. The node records for each node are organized according to one of a plurality of guidewords. The node records of the process are reviewable by filtering the node records according to a selected guideword, nodes, equipment, or other process data.