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Improvements to fire sprinkler systems with AI thermal monitoring detection including on-site power generated back-up and storage.

Improvements to fire sprinkler systems with AI thermal monitoring detection including on-site power generated back-up and storage.
通过人工智能热监控检测改进消防喷淋系统,包括现场发电备份和存储。
批准号:
10033027
负责人:
金额:
$30.47万
依托单位国家:
英国
项目类别:
Collaborative 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
塔吉特智能响应(Target)是一家与创始人兼项目负责人奈杰尔·梅林一起在英国创新的中小企业。Target的目标是开发一种支持人工智能的热监控覆盖物,用于消防安全出口(雾化喷嘴/喷头),并提供绿色电力支持。通过防止意外排放或故意干扰自动喷水灭火系统,以及使用人工智能来监控环境温度、检测火灾并提供定制的激活,Target的产品将提高建筑物的消防安全。这将减少与火灾相关的高死亡和严重烧伤人数,NHS每年要花费数百万英镑进行治疗。它还将比现有的解决方案使用更少的水,这既降低了水破坏的可能性,又有利于环境。
英文摘要
Target Intelligent Response (Target) is a UK innovating SME with founder and Project Leader Nigel Melling. Target is aiming to develop an AI-enabled thermal monitoring cover for fire safety outlets (mist nozzles/sprinkler heads) with green power back-up. By preventing the accidental discharge of or wilful interference with sprinkler systems and using AI to monitor the ambient temperature, detect fires then deliver a bespoke activation, Target's product will improve fire safety in buildings. This will reduce the high number of fire-related deaths and serious burn injuries, the treatment of which costs the NHS millions of pounds annually. It will also use significantly less water than existing solutions, which both reduces the likelihood of water damage and benefits the environment.
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