Research on multi factor coupling accident triggering mechanism and accident risk control of gas pipeline leakage

Abstract

In the domain of gas pipeline operations, significant safety hazards prevail. This study delves into the triggering mechanisms behind gas pipeline leakage incidents, pinpoints key risk factors contributing to these occurrences, and proposes effective control measures. By classifying risk coupling forms associated with various accidents, the N-K model formula is utilized to assess the coupling degree of primary risk factors. The resultant coupling relationship is integrated into the University of California at Irvine NETwork (UCINET), forming a complex network model for quantitative analysis. Secondary risk factors' coupling degrees are measured, and the network's characteristic parameters are scrutinized. Noteworthy risk factors within the network include improper maintenance (A3), unclear or missing signage (C4), equipment aging and wear (B10), unauthorized occupation of ground space (C5), failure to implement rules and regulations (D3), and failure of electrical protection (B5). By controlling the above risk factors, disrupting the coupling process of risk factors, and blocking the transmission pathways of risk factors, the objective is to prevent leakage incidents and ensure the safe operation of gas pipelines.

Keywords

• gas pipeline leakage
• risk coupling
• n-k model
• system dynamics
• complex network theory