Despite the continuous improvement in the technical performance of fiber‐optic early warning systems, their actual application results in preventing third‐party intrusion into oil and gas pipelines are often less than ideal. This issue stems largely from the lack of comprehensive postdeployment evaluation methodologies, making it difficult to identify root causes of performance deviations. To address this challenge, this study reviews and integrates relevant specifications and existing literature on pipeline fiber‐optic early warning systems, taking into account the actual characteristics of engineering projects, and addresses the limitations of existing research in terms of evaluation dimensions. It innovatively constructs the first multidimensional comprehensive application evaluation index system for pipeline fiber‐optic early warning systems, starting from both the technical characteristics of the system and its management needs in practical application. This fills the gap in the field of fiber‐optic early warning system application evaluation, which lacks a comprehensive evaluation framework that considers both technology and management. To ensure the scientific application of this index system, the analytic hierarchy process (AHP) and entropy weight method are used to determine subjective and objective weights, respectively, while a game theory combined weighting method is introduced to obtain optimal combined weights. Subsequently, the fuzzy comprehensive evaluation method is applied to empirically assess the systems at three pipeline workstations in Sichuan Province. The research findings indicate that the evaluation index system developed in this study can effectively assess the comprehensive application effect of fiber‐optic early warning systems in different pipeline stations. The evaluation results are highly consistent with the actual situation, demonstrating significant reliability and practicality.
Liu et al. (Thu,) studied this question.