SBIR Phase II: Remote IoT Monitoring Network for Early Warning and Measurement of Structural Movements

这个小型企业创新研究（SBIR）第二阶段项目的更广泛的影响/商业潜力将是部署一个易于使用的屋顶监测系统。这款经济实惠的高性能地理定位无线监控系统可检测建筑物上的不安全负载和移动，尤其是学校、配送中心、办公楼、商场、工厂、竞技场、公寓、公寓和仓库上的平坦商业屋顶。 该项目将创新实现物联网承诺的科学和技术进步，不仅产生市场需求的有用产品，而且还可以拯救生命并从根本上改善生命周期基础设施管理的产品。我们技术的可负担性直接使弱势社区受益，特别是在资源严重有限的农村地区，严重的基础设施和不合标准的建筑问题往往会持续多年。 2015年，一个主要的国家频道报道说，仅在马萨诸塞州，由于整个2014-2015年的雪荷载，就有160多个屋顶倒塌或面临即将倒塌。 该SBIR项目将准确地告知不安全的屋顶雪和水负荷存在的地方，以确保资源提前分配和按需分配。拟议的项目以可承受的成本有效地查明平屋顶结构的风险。 在美国，所有590万座商业建筑都容易受到自然和疏忽的破坏力的影响。在已知原因发生的建筑物故障中，累积的冰，雪和/或液态水占事故的33%。 由于缺乏维护而造成的破败，占已知原因建筑物故障的30.7%，通常发展缓慢，不会立即显现。建筑物完全或部分倒塌使居住者面临致命伤害的风险，建筑物内的贵重财产可能丢失或损坏。 避免对大型基础设施的破坏将为社会节省大量资源，并减少生产力损失。即使是小的崩溃也会影响业务的连续性，影响收入，而且往往影响更大的社区，就杂货店和类似机构而言。 传感器技术大大改善了目前的结构健康监测方法，限于单维测量，更高的系统成本，和复杂的安装。该项目将开发电池供电的无线传感器，并将其部署在几个建筑物的屋顶上。 该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project will be in deploying an easy-to-use roof monitoring system. This affordable high-performance geolocated wireless monitoring system detects unsafe loads and movements on buildings, especially flat commercial rooftops found on schools, distribution centers, office buildings, malls, factories, arenas, apartments, condominiums, and warehouses. This project will innovate scientific and technological advancements that realize the promise of the Internet of Things, generating not just useful products demanded by the marketplace but products that can save lives and fundamentally improve life cycle infrastructure management. The affordability of our technology directly benefits disadvantaged communities, especially in rural areas where resources are severely limited, and serious infrastructure and substandard building problems tend to linger for years. In 2015, it was reported on a major national channel that more than 160 roofs collapsed or faced imminent collapse in Massachusetts alone due to snow load throughout 2014-2015. This SBIR project will inform precisely where unsafe rooftop snow and water loads exist to ensure resources are allocated in advance and as required.The proposed project efficiently pinpoints risks in flat roof structures at an affordable cost. All 5.9 million commercial buildings in the USA are vulnerable to the destructive forces of nature and negligence. Out of building failures that occur for known reasons, accumulated ice, snow, and/or liquid water account for 33% of incidents. Dilapidation caused by a lack of maintenance, which makes up 30.7% of known-cause building failures, often develops slowly and is not apparent immediately. Complete or partial building collapses leave occupants at risk of mortal injury and the valuable property contained in the structure lost or damaged. Avoiding damage to large-scale infrastructure will save society significant resources and reduce lost productivity. Even minor collapses impact business continuity, affecting revenues and often the larger community, in the case of grocery stores and similar institutions. The sensor technology improves greatly upon current structural health monitoring methods, limited to single-dimension measurements, higher system costs, and complex installations. The project will develop sets of battery-powered wireless sensors and deploy them across several building rooftops. An intuitive online application will be developed to display building health data and provide users with alerts when loads exceed safety thresholds.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.