SBIR Phase I: Leveraging Building Information Modeling (BIM) for More Accurate Indoor Positioning

SBIR 第一阶段：利用建筑信息模型 (BIM) 实现更准确的室内定位

• 批准号: 2055052
• 负责人: Maria Laguarda-Mallo
• 金额: $ 25.6万
• 依托单位: VIATECHNIK LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-01 至 2022-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2055052&HistoricalAwards=false
• 关键词: SBIR; Phase; Leveraging; Building; Information

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is the ability for case investigation and contact tracing as core disease control measures during times of viral outbreak. This technology enables facilities to track and adhere to capacity limits for indoor spaces. The data generated will allow facilities to ensure a higher degree of safety during instances of high viral transmission risk as seen during the COVID-19 pandemic. This technology is marketable as one of the many advances possible in newly built or renovated “smart buildings” as it will offer innovations in mobile computing, the Internet of Things, and cyber-physical systems. This Small Business Innovation Research (SBIR) Phase I project proposes a more accurate indoor positioning method, utilizing the numerical propagation model, semantic model, and Building Information Modeling (BIM) to solve multi-objective optimization problems. Currently available tracking models cannot accurately ascertain the number and location of occupants in a given space. The research objectives of this proposal involve using environmental information stored within 3D models including wall and floor location, materials composition, dimensional analysis, and furniture layouts to detect occupants accurately. The semantic information will be gathered based on the building configuration and user profiles. Three parameters: physical obstacles, previous positions, and job functions will be used to calculate the probability of the target being in a given location. The anticipated technical result will be the creation of a 3D probability map that can search the environment for real-time indoor positioning. This will enable building managers to track how many occupants are in any given location to more accurately comply with capacity restrictions, especially in times of severe viral outbreaks.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该小企业创新研究 (SBIR) 第一阶段项目的更广泛影响/商业潜力是能够在病毒爆发期间将病例调查和接触者追踪作为核心疾病控制措施。该技术使设施能够跟踪并遵守容量限制。所生成的数据将使设施能够在 COVID-19 大流行期间的高病毒传播风险情况下确保更高程度的安全性，该技术作为新建或翻新的“智能”中可能实现的众多进步之一，具有市场价值。建筑”，因为它将提供创新该小型企业创新研究（SBIR）第一阶段提出了一种更准确的室内定位方法，利用数值传播模型、语义模型和建筑信息模型（BIM）来实现。解决多目标优化问题。目前可用的跟踪模型无法准确确定给定空间中的人员数量和位置。本提案的研究目标涉及使用 3D 模型中存储的环境信息，包括墙壁和地板位置、材料成分、尺寸分析。 、和家具将根据建筑物配置和用户配置文件收集语义信息：物理障碍物、先前位置和工作职能，以计算目标位于给定预期位置的概率。技术成果将是创建一个 3D 概率图，可以搜索环境进行实时室内定位，这将使建筑管理人员能够跟踪任何给定位置有多少居住者，以便更准确地遵守容量限制，尤其是在特殊时期。严重的病毒爆发。该奖项反映了通过使用基金会的智力价值和更广泛的影响审查标准进行评估，NSF 的法定使命被认为值得支持。