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Using AI to overcome data silos and improve data interoperability in the built environment

Using AI to overcome data silos and improve data interoperability in the built environment
使用人工智能克服数据孤岛并提高建筑环境中的数据互操作性
批准号:
10046949
负责人:
金额:
$6.37万
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
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英文摘要
TrackCarbon is a developer of a cloud-based sustainability data management software, which uses Artificial Intelligence to harness data for the Built Environment in order to assist stakeholders with information for better decision-making; namely cost savings and energy efficiency. We seek to overcome the problem of data fragmentation and silos in the built environment via an IoT solution. This IoT solution seeks to reduce the time spent collating, verifying, cleaning, and analysing data, while also reducing the need for multiple stakeholders currently required to produce data for sustainability performance monitoring and reporting. This software provides an end-to-end solution for managing Greenhouse gas accounting, disclosure, net-zero targets and the climate change risk reporting.TrackCarbon's software was built on the premise that similar to the finance function within an organisation, sustainability and climate impact data should be managed so that it is auditable, complete and transparent.
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面向AI驱动的信息化工程监管与自动化测试平台研发
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