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New Collar Network awarded Knowles grant for novel 3D printed wildfire detection system

内部人士和分析师预测3D打印趋势to watch in our latest series of articles focused on the future of 3D printing.

The New Collar Network, a non-profit education organization based in Santa Fe, has been awarded a hardware grant for its novel 3D printed early wildfire detection system.

这个项目的想法是选择五个获奖者之一to receive the Knowles AISonic™ Hardware Grant, a competition launched in partnership with engineering education platformwevolver

Knowlesis a global developer of advanced micro-acoustic and audio processing equipment and will award the five winners with its recently launched Knowles AISonic™ IA8201 Raspberry Pi Development Kit. Additionally, the firm will provide technical support to the winning teams to help develop their project ideas.

“我们为这个奖项感到特别自豪,”新领网络创始人兼首席执行官Sarah Boisvert解释说。“因为这三个团队成员均为美国姊妹公司劳动3D打印学徒计划的登记学徒,Fab Lab Hub,LLC。With creativity and innovative problem-solving, these apprentices beat out teams from college and university engineering departments!”

3D打印实验室中的新衣领网络团队-Filip Perez,Jed Beddo和Alec Kerr。通过新的项圈网络照片。
3D打印实验室的新领域团队 - 菲利普·佩雷斯(Filip Perez),杰德·贝多(Jed Beddo)和亚历克·克尔(Alec Kerr)。通过新的项圈网络照片。

The growing threat of wildfires

根据国家机构间消防中心(NIFC), wildfires are becoming more and more prevalent around the world.

In the US in particular, parts of California and the West Coast have recently experienced exponential growth in wildfire counts due to record-breaking temperatures and ongoing drought conditions. Looking at the figures, the past year saw California lose twice as many acres of land to major wildfires as the five-year average.

Beyond just the environmental impacts to local wildlife, wildfires also have major implications for the people living in the affected areas. The最新的Verisk估计声称2021年有超过200万个加利福尼亚州的高度至极端野火风险。这是美国任何州的最多物业。

新领网的3D打印检测系统

为了减轻野火的日益增长的风险,新的项圈网络为依赖声学监视的早期检测系统提出了一种创新的新设计。该设备将配备3D打印的套管,并利用Knowles Aisonic™IA8201 Raspberry Pi Development套件,这是一种将语音,音频边缘处理和机器学习听力功能组合在一起的多合一设备。

拟议的设计将能够聆听火火点火,重新点燃和电源线,以确定可能提前可能的野火风险。它还将与其他设备(例如森林中的野外摄像机)合并,以帮助可靠性。此外,新的项圈网络的早期检测系统将能够与更广泛的产品网络进行通知,以尽快通知紧急服务。

To enable the detection system to survive out in the wild, the design team has opted to use 3D printing to fabricate the casing. As such, users will be able to strap the device to trees branches or combine it with a magnet to attach it to metal structures at various points throughout an area of woodland.

如果成功,该设备有望节省更多英亩的森林,给社区撤离,减少消防员响应时间并提供更精确的火灾位置细节。

As it stands, the New Collar Network’s early wildfire detection system is only at the design stage. However, with support from Knowles, the team is set to demonstrate a proof-of-concept and develop a prototype in due course.

An illustration of the proposed early wildfire detection system. Image via the New Collar Network.
An illustration of the proposed early wildfire detection system. Image via the New Collar Network.

Additive manufacturing has an ever-growing list of novel applications and environmental monitoring is one of them. Researchers at圣克拉拉大学以前已经使用3D打印来建立升级的版本在农业灌溉系统中部署的水合感应单元。By redesigning, 3D printing and iterating on parts of these sensors, the engineers have been able to improve their thermal detection capabilities, and shrink their overall size.

More recently, researchers from都柏林三一学院SFI高级材料和生物工程研究中心(琥珀)使用3D打印来开发novel set of microscopic gas sensors。3D打印的传感器设计用于模仿孔雀的颜色羽毛,能够在某些溶剂蒸气的情况下更换颜色。因此,它们可用于提供非常视觉的检测危险污染物的方式

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特色图像显示了3D打印实验室中的新领域网络团队 - 菲利普·佩雷斯(Filip Perez),杰德·贝多(Jed Beddo)和亚历克·克尔(Alec Kerr)。通过新的项圈网络照片。