单兵智能头盔在消防救援中的探索与应用

目的 在消防装备于高层建筑、地下建筑、大型商业综合体等复杂救援环境中无法满足信息感知和状态感知需求的背景下，探索和分析智能头盔当前在应急救援、军队作战、采矿安全等领域的应用研究现状，以期解决当前消防救援活动中环境视野差、协同效率低、救援人员健康状态无法保证等问题，提高消防救援装备的功能性和保障性，避免救援活动中可能发生的安全事故。方法 人工智能、多设备协作、多模态感知等概念是智慧消防新的发展结合点，以消防救援装备的智能化、集成化趋势为基础，提出了利用增强现实技术满足视觉增强、信息协同、物体识别等信息感知需求，利用脑电监测技术满足人员健康状态监测、疲劳预警等状态感知需求。结论 在城市快速发展的背景下，单兵智能头盔在消防救援领域的应用具有可靠性高、功能扩展性强、任务辅助效率高等优势，但同时面临功耗大、重量大、设备交互研究不足等挑战；适用于消防救援场景的单兵智能头盔有动态舒适性多目标优化、多通道类人感知和意图协同交互、系统故障诊断及容错控制等方面的设计研究趋势。

Exploration and Application of Individual Soldier Intelligent Helmet in Fire Rescue

In the context of firefighting equipment in high-rise buildings, underground buildings, large commercial complexes and other complex rescue environments cannot meet the needs of information perception and state perception, explore and analyze the current application and research status of intelligent helmets in emergency rescue, military operations, mining safety and other fields, with a view to solving the problems of poor environmental vision, low efficiency of coordination, inability to guarantee the health status of rescuers, etc. in the current fire rescue activities to improve the functionality and supportability of fire rescue equipment and avoid possible safety accidents in rescue activities. Artificial intelligence, multi-device collaboration, multi-modal perception and other concepts as the new development combination point of intelligent firefighting, based on the trend of intelligence and integration of fire rescue equipment, put forward the use of augmented reality technology to meet the visual enhancement, information collaboration, object recognition and other information perception needs, and the use of EEG monitoring technology to meet the personnel health state monitoring, fatigue warning and other state perception needs. In the context of rapid urban development, the application of individual soldier intelligent helmets in the field of fire rescue has the advantages of high reliability, great functional scalability, and high efficiency of task assistance, but at the same time with challenges such as high power consumption, high weight, and insufficient research on device interaction; individual soldier intelligent helmets suitable for fire rescue scenarios have design research trends in dynamic comfort multi-objective optimization, multi-channel human-like perception and intent cooperative interaction, system fault diagnosis and fault-tolerant control.