Switchee: Improving lives through smarter energy and asset management
Switchee: Improving lives through smarter energy and asset management
批准号:
46531
负责人:
金额:
$44.03万
依托单位:
依托单位国家:
英国
项目类别:
Study
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
Switchee是住宅房东市场物联网数据分析的市场领导者。我们的使命是帮助房东获得他们所需的信息,为他们的居民提供卓越的住房,同时减少住房部门产生的碳排放。我们目前正在与50多家住房供应商合作。我们最初的市场重点是英国的社会住房,但我们有很大的野心,以帮助提高在英国和其他地区的住房市场的其他部门的质量。是什么让Switchee站在头和肩膀以上的任何其他竞争对手是我们获得多个真实的时间,准确的数据馈送,直接来自我们帮助管理的属性。Switchee安装在每个属性的互联网连接设备。我们独特的设备使居民能够更好地利用他们的供暖系统。它还提供了原始数据源,用于生成有关该属性如何执行的真实的时间分析。该项目旨在通过在我们的新型硬件基础上构建,扩大Switchee可以为房东提供的服务和分析范围。当这个项目完成后,Switchee将能够:* 帮助房东快速识别财产是否遭受潮湿和霉菌 * 使设施管理人员能够瞄准具有高风险问题的财产 * 确定锅炉是否会发生故障并在发生故障之前快速修复我们的数据馈送为社会房东提供了大量机会,使他们能够更聪明地管理他们的财产,并通过确保隔热,供暖和通风与财产的入住需求相匹配而获得巨大的公共卫生利益。
英文摘要
Switchee is the market leader in IoT-enabled data analytics for the residential landlord market. Our mission is to help landlords access the information they need to deliver exceptional homes to their residents while reducing carbon emissions generated by the housing sector.We are currently working with over 50 housing providers. Our initial market focus has been on UK social housing, but we have big ambitions to help improve the quality of other sectors of the housing market in the UK and beyond.What makes Switchee stand head and shoulders above any other competitors is our access to multiple real time, accurate data feeds, coming directly out of the properties we help to manage.Switchee installs internet-connected devices in each property. Our unique equipment allows residents to make better use of their heating system. It also provides the raw data feeds Switchee uses to generate real time analytics on how the property is performing. This project aims to expand the scope of services and analytics that Switchee can offer to landlords by building on top of our novel hardware. When this project is completed, Switchee will be able to:* help landlords quickly identify if a property is suffering from damp and mould* enable facilities managers to target the properties with high risk issues* determine if a boiler is going to break down and quickly get it fixed before it doesOur data feeds open up massive opportunities for social landlords to get smarter about how they manage their properties, and huge public health benefits from ensuring that insulation, heating and ventilation matches the occupancy demands in the property.
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国内基金
海外基金
Improving modelling of compact binary evolution.
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批准号:10903001
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项目类别:青年科学基金项目
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资助金额:20.0万元
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批准年份:2009
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负责人:史蒂芬
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依托单位: