Utilizing the ARAIG haptic suit to navigate firefighters out of hazardous environments

利用 ARAIG 触觉套装引导消防员逃离危险环境

• 批准号: 561190-2020
• 负责人: Ferworn, Alexander
• 金额: $ 2.19万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=719806
• 关键词: Utilizing; ARAIG; haptic; suit; navigate

The effect of climate change in Canada has grown with each passing year. Severe storms, floods, and, perhaps most importantly, forest fires, have increased in Canada over the past decade [1], [2]. When a firefighter runs into a burning area to save lives, they are safeguarded from toxic gases, heat, and burns by their protective gear; however, there is one hazard that their gear cannot protect against getting lost or trapped. Fires produce a lot of smoke and debris from falling material and structural failures. These situations can reduce visibility, block exits and prevent safe evacuation. Traditional navigation aids often fail in these situations [3]-[5], resulting in firefighters having to manually navigate out of dangerous environments. This research project will focus on the development of new technology which will take the guesswork out of navigating to safety in time-critical and stressful situations. It will provide a new integrated set of sensors [video, global positioning system (GPS), and light detection and ranging (LiDAR)], and path planning and scene reconstruction algorithms that can be integrated into current firefighter protective equipment. This new technology will provide the capability of autogenerating evacuation paths based on entry information collected via the integrated set of the aforementioned sensors. When prompted, the new algorithms will use the generated egress path and reconstructed scene and create a set of haptic instructions to safely guide a firefighter out of harm's way using the ARAIG suit technology.

气候变化对加拿大的影响逐年加大。过去十年中，加拿大的严重风暴、洪水以及也许最重要的森林火灾有所增加 [1], [2]。当消防员进入燃烧区域拯救生命时，他们的防护装备可以保护他们免受有毒气体、高温和烧伤的伤害；然而，有一个危险是他们的装备无法防止迷路或被困。火灾会因掉落的材料和结构故障而产生大量烟雾和碎片。这些情况会降低能见度、堵塞出口并妨碍安全疏散。传统的导航设备在这些情况下通常会失效 [3]-[5]，导致消防员必须手动导航才能逃离危险环境。该研究项目将重点关注新技术的开发，该技术将消除在时间紧迫和压力大的情况下安全航行的猜测。它将提供一套新的集成传感器[视频、全球定位系统（GPS）和光探测和测距（LiDAR）]以及可集成到当前消防员防护设备中的路径规划和场景重建算法。这项新技术将提供基于通过上述集成传感器组收集的进入信息自动生成疏散路径的能力。当出现提示时，新算法将使用生成的出口路径和重建的场景，并创建一组触觉指令，以使用 ARAIG 套装技术安全引导消防员远离危险。