SBIR Phase I: Improving the Efficiency and the Environmental Impacts of Large-Scale Manufacturing - using Wireless Sensor Networks (WSNs), Ambiently-powered Sensors, and Model-base

SBIR 第一阶段：提高大规模制造的效率和环境影响 - 使用无线传感器网络 (WSN)、环境供电传感器和模型库

• 批准号: 0637333
• 负责人: Daniel Steingart
• 金额: $ 10万
• 依托单位: Wireless Industrial Technologies
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-01-01 至 2007-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0637333&HistoricalAwards=false
• 关键词: SBIR; Phase; Improving; Efficiency; Environmental

This Small Business Innovation Research (SBIR) Phase I project will use Wireless Sensor Networks (WSNs), mesh networking, appropriate sensors, and model-based control software to improve both the efficiency and the environmental impacts of aluminum smelting. The project includes 1) Evaluation of the robustness, latency, & desirable power management issues when WSNs are employed in "hostile" heavy industries; 2) "Micro-energy audits" to measure typical heat fluxes and vibrations in order to provide design rules for other researchers who desire to run WSN nodes without replaceable batteries; 3) Determining the energy efficiency and pollution control; and 4) Large current measurements with precision in hostile environments.It is estimated that the value of energy saving resulting from full deployment of the wireless technology throughout the US aluminum industry would be approximately $130 million/year with comparable savings possible in Canada, the EU and other nations. Such energy savings would likely be accompanied by savings of maintenance cost and the benefits of diminished fluoride emissions. The proposed technolgy can contribute to the advancement of wireless technology in many fields. Examples include the copper industry or chlor-alkali industry, the tanks, distillation columns and other equipment of an oil refinery and the looms of the weaving industry.

该小型企业创新研究（SBIR）第一阶段项目将使用无线传感器网络（WSNs），网状网络，适当的传感器和基于模型的控制软件来提高铝冶炼的效率和环境影响。该项目包括1）评估无线传感器网络在“敌对”重工业中使用时的鲁棒性，延迟，理想的电源管理问题; 2） “微能量审计”测量典型的热通量和振动，以便为希望在没有可更换电池的情况下运行WSN节点的其他研究人员提供设计规则; 3）确定能量效率和污染控制;和4）在恶劣的环境中精确测量大电流。据估计，在整个美国铝业公司全面部署无线技术所带来的节能价值该行业每年将节省约1.3亿美元，在加拿大，欧盟和其他国家可能节省类似的费用。这种能源节约可能伴随着维护成本的节约和减少氟化物排放的好处。所提出的技术可以促进许多领域无线技术的进步。 例如，铜工业或氯碱工业、炼油厂的储罐、蒸馏塔和其他设备以及纺织工业的织机。