Zhuojin Pipe Fitting Co., LtdThree-Channel U-Shaped Harbor Area Operational Conflict Identification Based on Aircraft Situation
Literature Overview
This paper by Ji Lili, Zhou Duye, and Wang Xinglong, published in the Journal of Safety and Environment Engineering in 2025, proposes a systematic method for identifying operational conflicts in U-shaped harbor areas at large airports based on aircraft situation analysis. While the primary domain is aviation safety engineering, the methodology bears significant relevance to pipeline and process safety engineering, particularly in terms of conflict identification frameworks, multi-parameter decision analysis, and quantitative risk assessment approaches.
Methodology and Conflict Classification Framework
The study classifies aircraft operational situations into four discrete states: preparing to push back, actively pushing back, taxiing, and about to enter the designated position. Three types of conflicts are identified: pushback-pushback conflict, pushback-taxi conflict, and taxi-taxi conflict. A discriminant analysis method is used to establish rules for situation classification, and entropy weight method combined with grey comprehensive analysis is applied to quantify conflict severity.
| Conflict Type | Situation Combination | Risk Level | Identification Method |
|---|---|---|---|
| Pushback-Pushback | Two aircraft simultaneously pushing back in adjacent stands | High | Discriminant analysis with situation rules |
| Pushback-Taxi | One aircraft pushing back while another is taxiing nearby | Medium-High | Combined rule-based and quantitative assessment |
| Taxi-Taxi | Multiple aircraft taxiing in the same channel area | Medium | Grey comprehensive analysis with entropy weighting |
Transferability to Pipeline and Process Safety Engineering
Although the paper addresses airport operations, the methodological framework has direct applicability to several pipeline and process safety scenarios:
- Multi-stream junction conflict analysis: In pipeline networks with multiple inlet streams converging at tee or cross fittings, the concept of "operational conflict" translates directly to flow regime conflicts where simultaneous flow from multiple directions creates undesirable interaction patterns. The discriminant analysis approach can be adapted to classify flow regime states at complex junctions.
- Quantitative risk assessment: The entropy weight method and grey comprehensive analysis technique used in this paper can be directly applied to pipeline risk assessment, where multiple contributing factors (corrosion rate, operating pressure, environmental factors, inspection history) need to be weighted and combined into a single risk index.
- Situation-based decision making: The classification of continuous operational states into discrete categories mirrors the approach used in pipeline integrity management, where continuous monitoring data (from SCADA, ILI, or corrosion coupons) is classified into discrete condition states that trigger specific maintenance actions.
Technical Methods and Their Engineering Applications
The discriminant analysis method employed in this study is mathematically equivalent to the multivariate classification techniques used in pipeline defect assessment. When evaluating pipeline wall thickness measurements from UT/PAUT scans, engineers routinely apply statistical classification methods to determine whether measured values fall within acceptable, marginal, or critical categories. The paper's approach of establishing discriminant rules based on multiple input parameters provides a rigorous framework for such classifications.
The grey comprehensive analysis method is particularly relevant to pipeline integrity assessment, where incomplete or uncertain data is common. In practice, pipeline operators often work with:
- Partial ILI data from limited-length surveys
- Incomplete corrosion coupon histories
- Uncertain soil resistance measurements
- Variable operating pressure records
Grey analysis allows meaningful conclusions to be drawn from such incomplete datasets, making it a valuable tool for pipeline integrity management decisions.
Integration with Safety Management Systems
The study's systematic approach to conflict identification can be integrated with established safety management frameworks:
- HAZOP analysis: The conflict identification model can serve as a quantitative supplement to qualitative HAZOP studies of pipeline junctions and complex flow systems.
- FMEA (Failure Mode and Effects Analysis): The situation classification rules can be adapted to define failure mode triggers for pipeline components under multi-stream operating conditions.
- PDCA cycle: The conflict identification and quantification process naturally fits within the Plan-Do-Check-Act framework for continuous safety improvement.
Study Insights and Implications
The paper demonstrates that structured conflict identification requires: (1) clear definition of operational states, (2) systematic enumeration of possible conflict types, (3) quantitative criteria for conflict determination, and (4) severity ranking methodology. This four-step approach is directly transferable to pipeline safety engineering, where the analogous steps would be: define operating states (normal, transient, upset, emergency), enumerate failure interaction scenarios, establish quantitative failure criteria, and rank by consequence severity.
The research contributes a methodological framework that pipeline engineers can adapt for multi-stream flow conflict analysis at complex junctions, quantitative risk assessment of combined failure modes, and structured safety decision-making under conditions of incomplete information. The systematic nature of the approach ensures that no conflict scenario is overlooked, which is essential for comprehensive safety analysis in any multi-component system.