Attent- an advanced edge AI system that is able to detect electrical faults before they happen.
Attent——一种先进的边缘人工智能系统,能够在电气故障发生之前检测到它们。
基本信息
- 批准号:10114569
- 负责人:
- 金额:$ 6.36万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Collaborative R&D
- 财政年份:2024
- 资助国家:英国
- 起止时间:2024 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This project is to create an advanced AI system that can protect the space operated by electrical distribution units. Tagntell is developing a new technology called Attent.The Attent technology is a wirefree self-supporting AI-powered predictive maintenance IoT edge device targeted to revolutionise electrical power distribution systems. Attent is meticulously designed to predict electrical failures before they happen, significantly reducing the risks of electrical fires, thus saving lives, preserving finances, business operations and reducing carbon emissions. Studies show that by averting these types of electrical fires, each incident prevented could potentially reduce carbon emissions by approximately 1,360 kilograms, aligning with global green initiatives and bringing into line currently uncontrolled carbon emissions to being accommodated within net zero targets. Other fire-based emissions and pollutants are also significantly reduced. Additionally, having a focused approach to maintaining telecoms distribution systems has a large potential to reduce secondary transportation emissions (and costs) due to now being able to provide a much more efficient and focused approach to maintenance.Beyond environmental benefits, Attent aims to deliver unparalleled safety measures and financial savings by minimising unforeseen operational disruptions. The responsible person in charge of the electrical distribution system is alerted, pre-failure or post-failure but ahead of major fire concerns, the device also detects short circuits or earth leakage faults which if unattended could lead to the electrocution of people and livestock. By circumventing the more severe fire risk action, Attent enables operators of power distribution systems to resolve concerns before they become concerns. Reductions in travel costs and positive commercial impacts to reducing system downtimes and failures are also improvements for UK GDP and society as a whole. Approximately 25% of commercial fires usually start from electrical systems with 50% of businesses suffering fires subsequently failing.Tagntell is targeting partnering with distinguished and recognised industry and academic affiliates for the delivery of this project, to further refine and propel Attent towards widespread deployment. With all partner organisation's expertise and industry skills merged together, the delivery of this innovative solution can significantly elevate the technology towards a demonstrated ability to bring safety improvements, financial stability and eco-responsibility to electrical infrastructures across a wide range of sectors. This means that TagnTell could be instrumental in pioneering a safer, financially sound, and environmentally friendly electrical infrastructure for both the UK and wider markets.
该项目旨在创建一个先进的人工智能系统,可以保护配电装置运行的空间。 Tagntell 正在开发一种名为 Attent 的新技术。Attent 技术是一种无线自支持、人工智能驱动的预测性维护物联网边缘设备,旨在彻底改变配电系统。 Attent 经过精心设计,可以在电气故障发生之前对其进行预测,从而显着降低电气火灾的风险,从而挽救生命、保护财务、业务运营并减少碳排放。研究表明,通过避免此类电气火灾,每次预防的事故都可能减少约 1,360 公斤的碳排放,与全球绿色倡议保持一致,并将目前不受控制的碳排放纳入净零目标。其他火灾排放和污染物也显着减少。此外,采用集中的方法来维护电信分配系统具有减少二次运输排放(和成本)的巨大潜力,因为现在能够提供更加高效和集中的维护方法。除了环境效益之外,Attent 还旨在提供无与伦比的服务通过最大限度地减少不可预见的运营中断,采取安全措施并节省资金。负责配电系统的负责人会在故障前或故障后收到警报,但在发生重大火灾之前,该设备还可以检测短路或漏电故障,如果无人看管,可能会导致人和牲畜触电。通过规避更严重的火灾风险行动,Attent 使配电系统运营商能够在问题成为问题之前解决问题。旅行成本的降低以及对减少系统停机和故障的积极商业影响也改善了英国 GDP 和整个社会。大约 25% 的商业火灾通常是由电气系统引起的,其中 50% 的企业遭受火灾后会发生故障。Tagntell 的目标是与杰出且公认的行业和学术附属机构合作交付该项目,以进一步完善和推动 Attent 的广泛部署。通过将所有合作伙伴组织的专业知识和行业技能融合在一起,这一创新解决方案的交付可以显着提升该技术,使其具有为各行业的电力基础设施带来安全改进、财务稳定和生态责任的能力。这意味着 TagnTell 可以在为英国和更广泛的市场开创更安全、财务稳健且环保的电力基础设施方面发挥重要作用。
项目成果
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其他文献
Products Review
- DOI:
10.1177/216507996201000701 - 发表时间:
1962-07 - 期刊:
- 影响因子:2.6
- 作者:
- 通讯作者:
Farmers' adoption of digital technology and agricultural entrepreneurial willingness: Evidence from China
- DOI:
10.1016/j.techsoc.2023.102253 - 发表时间:
2023-04 - 期刊:
- 影响因子:9.2
- 作者:
- 通讯作者:
Digitization
- DOI:
10.1017/9781316987506.024 - 发表时间:
2019-07 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
References
- DOI:
10.1002/9781119681069.refs - 发表时间:
2019-12 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Putrescine Dihydrochloride
- DOI:
10.15227/orgsyn.036.0069 - 发表时间:
1956-01-01 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
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