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Crowd Space Simulator (CSS)

Crowd Space Simulator (CSS)
人群空间模拟器 (CSS)
批准号:
571258-2022
负责人:
Wainer, Gabriel
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Idea to Innovation
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31
关键词:

项目摘要

项目成果

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中文摘要
翻译
大楼经理和活动组织者在与密闭空间中的大量个人打交道时,可能会面临复杂的挑战。在正常情况下(事件结束,正常流通)以及在意外事件(火灾和其他紧急情况)下疏散建筑物必须根据应急计划进行,以改善交通流量并避免受伤。此外,大楼经理需要最大限度地利用他们控制的空间,以实现最大限度的盈利。此外,新冠肺炎疫情还带来了新的问题,因为建筑物需要重新组织,以符合不断变化的卫生法规,导致更大的成本和时间消耗。此外,探索增强建筑管理和性能的新方案是不现实的(例如,研究在疏散过程中如何疏散阻塞的火灾)。为了解决这个问题,我们发明了新的方法和软件工具,称为人群空间模拟器(CSS),为建筑经理和活动组织者提供一种安全管理人群的方法。Css允许使用(现有的或新的)平面图自动生成对建筑物中个人的占用和流动的模拟。CS改进了现有的人工解决方案,并提供了对大量情景的分析,以增强决策能力。此外,我们还可以确定行人流量中的瓶颈,这些瓶颈可以通过测试选项来缓解,而无需修改物理建筑。Css通过为经理提供准确、经济高效且及时的解决方案来解决他们的问题。这项建议旨在评估我们技术的商业化价值。为了实现这一目标,我们将参与Lab2Market NSERC计划(https://lab2market.ca/).在这项计划中,我们将对这项技术进行广泛的市场评估,通过提供有关市场兴趣的信息、确定进入市场的障碍和未来发展的潜在合作伙伴,为未来的商业化战略提供信息。除了全面的市场数据审查和分析外,我们还将与加拿大的几个关键利益攸关方进行深入访谈。
英文摘要
Building managers and event organizers might face complex challenges when dealing with a large number of individuals in confined spaces. Evacuating buildings in normal circumstances (end of events, normal circulation) as well as under unexpected events (fires and other emergencies) must be done based on contingency plans to improve traffic flow and avoid injuries. As well, building managers need to make the best use of the space they control to maximize profitability. In addition, the COVID-19 pandemic has caused new problems, because buildings need to be reorganized to comply with changing health regulations, resulting in larger costs and time consumption. As well, exploring new options for enhanced building management and performance is not practical (for example, studying how the blocking fire exits during an evacuation).To solve this problem, we have invented new methods and a software tool, called Crowd Space Simulator (CSS) to provide building managers and event organizers a way to manage crowds safely. CSS allows using (existing or new) floor plans to automatically generate simulations of the occupancy and flow of individuals in buildings. CSS improve manual solutions currently in place and provides an analysis of a large number of scenarios to enhance decision-making abilities. In addition, we can identify bottlenecks in pedestrian flow that can be mitigated by testing options without modifying the physical building. CSS solves managers problems by providing them with an accurate, cost-efficient, and timely solution. This proposal aims at to assess the commercialization value for our technology. To achieve this, we will participate on the Lab2Market NSERC program (https://lab2market.ca/). Within this program we will conduct an extensive market assessment of this technology that will inform the future commercialization strategy by providing information about market interest, identifying barriers to market entry and potential partners for future development. We will hold in-depth interviews with several key stakeholders in Canada, in addition to a comprehensive market data review and analysis.
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会议论文
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