At present, large-scale hazardous chemical logistics warehouses are characterized by complex structural layouts, diverse stored materials, and high operational risks, which pose significant challenges to fire emergency response. The awareness of hazardous material inventory, orderliness, and timeliness of on-site reconnaissance directly determine the efficiency and safety of firefighting and rescue operations. In response to these challenges, this study, based on 77 fire cases involving hazardous chemical logistics warehouses, proposes an evaluation framework that integrates a TOWA–TOWGA hybrid operator with complex network analysis. Accordingly, a fire scene core reconnaissance task identification model is developed. The new model is capable of identifying key reconnaissance tasks while capturing the dynamic evolutionary patterns of fire development across three distinct stages. The research findings demonstrate that identifying the fire’s spread direction, locating accessible water sources, and pinpointing the fire’s ignition point constitute the core tasks throughout the entire fire emergency response cycle. The priority ranking of these core tasks exhibits distinct temporal variability as the fire evolves dynamically. This model enables the accurate identification of key reconnaissance tasks and critical operational pathways, thereby providing robust theoretical support and a solid practical foundation for fire rescue teams to optimize resource allocation strategies and formulate science-based reconnaissance protocols.
Qin et al. (Sat,) studied this question.