SBIR Phase I: Low-cost, wireless, energy harvesting environmental sensors

这个小型企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力将是低成本，无线，能量收集环境传感器的商业可用性，用于高粒度的传感，反馈和控制，包括建筑，工业，农业和任何其他应用，这些应用将受益于电力或接入供应短缺的监测。该技术的主要目标市场是建筑部门，其中拟议的无线传感器网络将成为建筑监测和控制的变革。该系统提供的高时空分辨率数据还包含可操作的信息，这些信息会对系统运行、效率和安全产生影响。拟议的数据分析发展将朝着自动识别和提取这种高价值的可采取行动的信息迈出重要的第一步。该小型企业创新研究（SBIR）第一阶段项目的重点是开发低成本，无线和能量收集环境传感器，以及数据聚合/可视化平台，以实现与用户和控制系统的有效数据通信。该项目解决了主要市场中的主要障碍，物联网在建筑领域的应用，其中在访问受限的监控位置的传感器的放置和供电方面遇到了复杂性。通过降低无线传感器网络的前期和维护成本，该项目允许具有成本效益的建筑传感器数据收集前所未有的寿命和密度。这些丰富的数据集反过来又带来了无数的好处，包括更有效的建筑管理控制和深入的自动化能源评估。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project would be commercial availability of a low-cost, wireless, energy-harvesting environmental sensor for high-granularity sensing, feedback, and control to a number of markets including buildings, industrial, agricultural, and any other application that would benefit from monitoring where power or access is in short supply. The primary target market for this technology is the buildings sector, where the proposed wireless sensor network will be transformational for building monitoring and control. The high temporal and spatial resolution of the data delivered by this system additionally contains, given the proper analysis, actionable information with impacts on system operation, efficiency, and safety. The data analysis development proposed will take a first important step towards the automatic identification and extraction of this high value actionable information. This Small Business Innovation Research (SBIR) Phase I project focuses on the development of a low-cost, wireless, and energy harvesting environmental sensor, and a data aggregation / visualization platform to enable effective communication of data to users and control systems. This project addresses major barriers in the main market, the application of Internet of Things to the buildings sector, where complexity is encountered in the placement and powering of sensors in monitoring locations where access is limited. By reducing the upfront and maintenance costs of wireless sensor networks, the project allows cost-effective building sensor data collection of unprecedented longevity and density. These rich data sets in turn enable myriad benefits, including more effective building management controls and in-depth automated energy evaluations.