Abstract: As a crucial component of national defense infrastructure, civil air defense engineering requires stringent quality control in protective equipment installation to ensure comprehensive defensive efficacy. Traditional detection methodologies, however, face challenges such as excessive human intervention risks and insufficient data traceability, critically compromising wartime operational reliability. To address these limitations, this study developed an intelligent detection and management system for civil air defense engineering using modern information technologies. This system employs digitized, paperless workflows to minimize human interference and enhance oversight of installation quality. Engineering applications demonstrated that the system significantly reduced workloads in data processing, result evaluation, and report generation, achieving an average 45.5% reduction in labor costs. When no anomalies are detected, reports can be generated within the same day, optimizing efficiency. Furthermore, the system standardized detection protocols, ensuring data integrity, accuracy, and traceability in both detections and documentation. These advancements substantially improve the precision and dependability of quality assessments for protective equipment installation, and can provide robust technical support for maintaining wartime functionality in civil air defense infrastructure.