PHS 2019-02 Omnibus Solicitation of the NIH, CDC, and FDA for Small Business Innovation Research Gra

PHS 2019-02 NIH、CDC 和 FDA 小型企业创新研究综合征集

• 批准号: 10081475
• 负责人: Cesar Bandera
• 金额: $ 15万
• 依托单位: CELL PODIUM
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2021-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10081475
• 关键词: PHS; 2019; 02; Omnibus; Solicitation

Summary/Abstract - Mixed-Reality Sensor and Hazard Simulator for Large-Scale Field Exercises A goal of HAZMAT worker and responder field training exercises is to present realistic experiences involving PPE, tools, hazard sensors, and mock hazards so that learners can improve their skills. However, while mock hazards, PPE, and tools are readily available to the training community, sensors do not operate with mock hazards. Because HAZMAT workers and responders use the readings from sensors to decide on their actions in the field, making sensor readings and interpreting them are critical skills, and the ability of a HAZMAT training program to teach these skills is significant. Cell Podium, in collaboration with the Center for Public Health Workforce Development (CPHWD) at the Rutgers School of Public Health, prototyped a simulator of handheld gas and radiation sensors for HAZMAT training. A cell phone app simulates a handheld sensor, and displays readings in real-time as if mock hazards in the training exercise were real. Prior to the exercise, the instructor places a small beacon on each mock hazard. The system generates sensor readings based on the learner’s proximity to the mock hazards and the virtual nature of the hazards specified by the instructor. Beacon-based simulation cost-effectively achieves the realism desired by instructors in exercises with localized mock hazards, such as a leaky drum whose effect is limited to a few meters. However, the limited range of beacons, and their representation of hazards as point sources, do not lend themselves to the simulation of a large area hazard such as a large spill, or an environmental incident such as a flood. The steady annual increase in the number of such large-scale incidents highlights the significant need for realistic sensor simulation in large-scale incident training exercises. Large-scale hazard and sensor simulation for emergency response training exercises requires a technology based on hazard area and not on modeling hazards as point sources with beacons. To achieve this requirement cost-effectively and mitigate technological risk, the proposed effort will develop and assess a system that innovatively combines assets already in use by the responder community, emerging geo-location technologies, and resources from the Cell Podium/Rutgers beacon-based prototype. Responder assets to be integrated include the Computer-Aided Management of Emergency Operations (CAMEO®) system. The proposed effort is the first to interface CAMEO with realistic large-scale multi-responder experiential training exercises. When the instructor specifies the hazards in CAMEO, the training system will virtualize the plumes and the safety zones (exclusion, contamination, and support), track the learners and the zones, and display realistic readings on their handheld sensor simulator apps. By building upon the beacon-based prototype, trainers will have the option to choose the most convenient and cost-effective components for his/her specific training exercises. Under the proposed SBIR Phase I effort, CPHWD and McGuire AFB will incorporate the prototype system into their HAZMAT field training exercises, where instructors and learners will evaluate the training value, performance and ergonomics of the system.

用于大规模野外演习的摘要/抽象-混合现实传感器和危险模拟器 危险品工人和响应者现场培训练习的一个目标是展示与个人防护装备、工具、 危险传感器和模拟危险，使学习者可以提高他们的技能。然而，虽然模拟危险、个人防护和 培训社区可以随时获得工具，传感器不会在模拟危险情况下运行。因为危险物质 工作人员和响应人员使用传感器的读数来决定他们在现场的行动，从而获得传感器读数 而解释这些技能是关键技能，危险物质培训计划传授这些技能的能力是重要的。 细胞讲台，与罗格斯学院公共卫生人力发展中心(CPHWD)合作 公共卫生部，为危险物质培训制作了一种手持气体和辐射传感器模拟器的原型。一款手机应用程序 模拟手持传感器，并实时显示读数，就像训练演习中的模拟危险是真实的一样。 在练习之前，教员会在每个模拟危险上放置一个小灯塔。该系统生成传感器读数 基于学员对模拟危险的接近程度和教师指定的危险的虚拟性质。 基于信标的模拟在使用本地化模拟的情况下，经济高效地实现了教练在练习中所需的真实感 危险，如泄漏的转鼓，其影响限于几米。然而，有限的信标范围，以及它们的 将危险表示为点源，不适合于模拟大范围的危险 大规模泄漏，或洪水等环境事件。这样的大规模规模的数量每年稳步增加 事件突显了在大规模事件训练演习中对真实传感器模拟的重要需求。 应急响应训练演习的大规模危险和传感器模拟需要一种基于 危险区域，而不是将危险模拟为具有信标的点源。以符合成本效益的方式实现这一要求 并降低技术风险，拟议的努力将开发和评估一个创新性地结合资产的系统 应答者社区已经在使用、新兴的地理位置技术和来自手机的资源 基于平台/罗格斯信标的原型。 将整合的应答器资产包括计算机辅助应急行动管理(CAMEO®) 系统。提议的努力是第一次将客串与现实的大规模多响应者体验相结合 训练演习。当教官在客串中指定危险时，培训系统将对羽流进行虚拟化 和安全区(排除、污染和支持)，跟踪学习者和区域，并显示逼真 他们手持的传感器模拟器应用程序上的读数。通过建立基于信标的原型，教练员将拥有 选择最方便、最具成本效益的组件进行其特定的培训活动。 根据拟议的SBIR第一阶段工作，CPHWD和McGuire AFB将把原型系统整合到他们的 危险物质现场培训演习，教员和学员将在其中评估培训价值、绩效和 系统的人体工程学。