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

小型企业创新研究(SBIR)第一阶段项目的更广泛影响/商业潜力将是商业上可获得一种低成本、无线、能源收集的环境传感器，用于向多个市场提供高粒度传感、反馈和控制，包括建筑、工业、农业和任何其他将受益于监控电力或接入短缺的应用。这项技术的主要目标市场是建筑行业，在该领域，拟议的无线传感器网络将对建筑监控起到革命性的作用。该系统提供的高时间和空间分辨率的数据还包含(在适当分析的情况下)对系统运行、效率和安全有影响的可操作信息。拟议的数据分析开发将朝着自动识别和提取这一高价值的可操作信息迈出重要的第一步。这个小型企业创新研究(SBIR)第一阶段项目专注于开发一种低成本、无线和能源收集的环境传感器，以及一个数据聚合/可视化平台，以实现与用户和控制系统之间的数据有效通信。该项目解决了主要市场中的主要障碍，即将物联网应用于建筑部门，在建筑部门，在访问受限的监测地点放置传感器和为其供电时遇到了复杂性。通过降低无线传感器网络的前期和维护成本，该项目实现了前所未有的寿命和密度的高性价比建筑传感器数据收集。这些丰富的数据集反过来又带来了许多好处，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.