SBIR Phase I: Infrasonic Avalanche Identification

SBIR 第一阶段：次声雪崩识别

• 批准号: 0319404
• 负责人: Ernest Scott
• 金额: $ 10万
• 依托单位: INTER-MOUNTAIN LABORATORIES, INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-01 至 2003-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0319404&HistoricalAwards=false
• 关键词: SBIR; Phase; Infrasonic; Avalanche; Identification

This Small Business Innovation Research (SBIR) Phase I project seeks to develop avalanche-warning systems to improve the safety of those who travel and live in mountainous areas. Avalanches produce low frequency infrasound (1-5 Hz), which can propagate miles from their origin, and thus provide a means for remote, automated detection and warning systems. Single sensor monitoring systems are capable of detecting avalanche infrasound, but associated detection algorithms suffer from false alarms under high noise conditions. Sensor array based systems provide spatial signal information, which can be used both for noise suppression, and source location, potentially greatly improving detection capabilities. However, the use and limitations of array-based signal processing techniques and associated theoretical assumptions, as applied to the large scales and field demands of avalanche infrasound, needs to be investigated and understood. A monitoring system will be operated during planned avalanche control activities to gain experimental data to determine the feasibility of sensor arrays for avalanche detection. Commercial applications of this technology exist for monitoring, warning, and controlling routes of travel and commerce, for backcountry travelers, recreation areas, search and rescue operations, and for monitoring and warning of avalanches where people reside. It is estimated that there is a large international market for this technology.

这个小型企业创新研究(SBIR)第一阶段项目旨在开发雪崩预警系统，以改善那些在山区旅行和生活的人的安全。雪崩产生的低频次声(1-5赫兹)可以从其起源地传播数英里，从而为远程、自动探测和警报系统提供了一种手段。单传感器监测系统能够检测到雪崩次声，但相关的检测算法在高噪声条件下会受到错误警报的影响。基于传感器阵列的系统提供空间信号信息，可用于噪声抑制和源定位，潜在地极大地提高了检测能力。然而，基于阵列的信号处理技术和相关理论假设应用于大规模雪崩次声和现场需求的使用和限制，需要调查和了解。监测系统将在计划的雪崩控制活动期间运行，以获得实验数据，以确定传感器阵列用于雪崩探测的可行性。这项技术的商业应用包括监测、预警和控制旅行和商业路线、野外旅行者、娱乐区、搜索和救援行动，以及对人们居住的雪崩进行监测和预警。据估计，这种技术在国际上有很大的市场。