Collaborative Research: Ideas Lab: Smarter Microbial Observatories for Realtime ExperimentS (SMORES)

合作研究：创意实验室：用于实时实验的智能微生物观测站 (SMORES)

• 批准号: 2321651
• 负责人: Peter Girguis
• 金额: $ 59.52万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2321651&HistoricalAwards=false
• 关键词: Collaborative; Research; Ideas; Lab; Smarter

Much of the ocean floor is covered with sediments that harbor large communities of animals, microscopic creatures, bacteria and archaea. These communities play a role in natural carbon cycling, yet there is a lot to learn about how this community nourishes the ocean, and stores carbon into deeper sediments. This Ideas Lab: Engineering Technologies to Advance Underwater Sciences (ETAUS) funded project will develop a new seafloor sensor/sampler system to study how tides affect the seafloor carbon cycle. It will also develop “smarter” control systems to make predictions about when and where to best collect samples. This would be a major improvement over existing approaches that waste battery power and have short deployment times. These advances will also provide broader impacts by providing technologies that can be applied to other sensor sets allowing them to record data for longer periods. The project provides mentoring and field opportunities to high-school and college students from a variety of backgrounds. The team will work with an award-winning filmmaker to produce a short documentary about careers in marine science.This project will develop a novel seafloor sensor/sampler array to better understand how tidal pumping and subsurface currents influence seafloor oxygenation and sedimentary carbon cycling. Equally important, it will develop control systems that use machine-learning models (MLM) to make informed predictions about when and where to best sense and sample based on historical and realtime data. The development of MLM controllers will enhance remote deployment, minimize excess power consumption and decrease the collection of sub-optimal samples. This project is funded jointly by the following NSF Divisions: Electrical, Communications & Cyber Systems, Environmental Biology, Ocean Sciences, and Civil, Mechanical & Manufacturing Innovation.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.

大部分的海底都覆盖着沉积物，这些沉积物中有大量的动物、微生物、细菌和古菌。这些群落在自然碳循环中发挥着作用，但关于这个群落如何使海洋变暖并将碳储存到更深的沉积物中，还有很多东西需要了解。Ideas Lab：工程技术促进水下科学（ETAUS）资助的项目将开发一种新的海底传感器/采样器系统，以研究潮汐如何影响海底碳循环。它还将开发“更智能”的控制系统，以预测何时何地最好地收集样本。这将是对现有方法的重大改进，这些方法浪费电池电力并且部署时间短。这些进步还将提供更广泛的影响，提供可应用于其他传感器组的技术，使它们能够更长时间地记录数据。该项目为来自各种背景的高中生和大学生提供指导和实地考察机会。该团队将与一位获奖电影制作人合作，制作一部关于海洋科学职业生涯的短片。该项目将开发一种新型海底传感器/采样器阵列，以更好地了解潮汐泵和地下水流如何影响海底氧化和沉积碳循环。同样重要的是，它将开发使用机器学习模型（MLM）的控制系统，根据历史和实时数据对何时何地进行最佳感知和采样进行明智的预测。MLM控制器的开发将增强远程部署，最大限度地减少多余的功耗，并减少次优样本的收集。该项目由以下NSF部门共同资助：电气，通信网络系统，环境生物学，海洋科学和民用，机械制造创新。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。