A Reasoning Method for Emergency Disposition Measures of Cultural Relics Safety Incidents Based on the Generalization-Generation Pattern

Emergency response decision-making is a core element in addressing unexpected safety incidents at various cultural heritage sites. Existing emergency plans often face challenges such as dispersed information, lack of integration, and high decision-making costs. To address these issues, this study proposes a reasoning method for emergency response measures to unexpected cultural heritage safety incidents based on the Generalization-Generation Pattern. This method first applies grounded theory, combined with large models, to efficiently and accurately extract key information from unstructured texts to construct a structured knowledge graph, promoting information sharing and supporting the reasoning of emergency response measures and optimizing resource allocation. Finally, by using the trained Generalization-Generation Pattern, we can predict response measures for cultural heritage safety incidents and analyze common patterns in similar situations, providing decision support for similar events. In practical applications at demonstration sites, this pattern has successfully provided reasonable response recommendations for specific safety incidents, demonstrating its potential in improving emergency response efficiency and reducing decision-making costs.