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PWRdown: A data-driven solution that reduces electricity wastage for real world business operations using IoT-based components & Bluetooth Low Energy connectivity.

PWRdown: A data-driven solution that reduces electricity wastage for real world business operations using IoT-based components & Bluetooth Low Energy connectivity.
PWRdown:一种数据驱动的解决方案,可使用基于物联网的组件减少现实世界业务运营的电力浪费
批准号:
10044038
负责人:
金额:
$6.36万
依托单位:
依托单位国家:
英国
项目类别:
Grant for R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

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中文摘要
翻译
怎么啦?HyScore是一家技术公司,致力于为在现实环境中运营的企业增加互联性和智能自动化。我们使用传感器技术解决方案,能够跟踪和监控关键的运营活动,从而产生数据输出和分析,从而显著节省成本和提高效率。所有在现实环境中运营的企业都面临着越来越大的利润率压力,这迫使他们寻找创新的方式来维持客户服务并降低成本。与此同时,他们必须为零净值的预期做出计划和调整。考虑到房地产业占全球温室气体排放量的约40%,其中70%是由建筑业务产生的,这一长期战略目标的重要性持续增长,在房地产业尤为紧迫(福布斯,2022年4月)。HyScore的解决方案能够满足当前和迫切的成本节约需求,同时实现切实的环境、社会和治理效率目标。这与我们的使命是一致的,即为如何更好地开展业务提供更多的知识和理解,从而使股东受益,并对社会和环境产生实质性的积极影响。
英文摘要
What?HyScore is a technology business that is increasing interconnectivity and smart automation for businesses operating in real-world environments. We use sensor technology solutions that are able to track and monitor key operational activities, resulting in data output and analysis that drives significant cost savings & efficiency gains.Why?All businesses operating in real-world environments are facing increasing margin pressure that is forcing them to look at innovative ways to maintain customer service and drive down costs. At the same time, they are having to plan for and adjust to expectations in relation to net zero. This long-term strategic objective continues to grow in importance and is especially pressing across real estate, given that the sector is responsible for approximately 40% of global greenhouse gas emissions, 70% of which are produced by building operations (Forbes, April 2022).HyScore's solution is able to address both the immediate and pressing need for cost savings whilst also delivering on tangible Environmental, Social, and Governance efficiency goals. This aligns with our mission of bringing greater knowledge and understanding to how business can be done better, with a view to benefit shareholders and also to make a material positive impact on society and the environment.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: