展示HN：一种可训练、模块化的工业用电子鼻。

展示HN：一种可训练、模块化的工业用电子鼻。
Show HN: A trainable, modular electronic nose for industrial use

标准化的实施流程包括：配置所需的微软服务。安装即插即用的PoE传感器和物联网终端。部署训练好的模型——在传感器上（边缘人工智能）或在云端（云端人工智能）。基于Power Apps的人工智能模型训练。开发定制的Power BI报告。这种标准化方法使得数字传感器几乎可以安装在任何地方，从生产线和仓库到实验室和办公室。此外，无需大量前期投资来测试我们的数字鼻子。您可以从有限范围的PoC（概念验证）开始，并在成功实施后扩展解决方案。

The standardized implementation process includes:

Configuration of the required Microsoft services.
Installation of plug-and-play PoE sensors and the IoT terminal.
Deployment of the trained model — either on the sensor (AI on the Edge) or in the cloud (AI in the Cloud)
Power Apps-based AI model training.
Development of tailored Power BI reports.

This standardized approach allows the digital sensors to be installed almost anywhere, from manufacturing lines and warehouses to laboratories and offices.

Moreover, there is no need for a large initial investment to test our Digital Nose. You can begin with a limited-scope Proof of Concept (PoC) and, after successful implementation, expand the solution.

展示HN：一种可训练、模块化的工业用电子鼻。 Show HN: A trainable, modular electronic nose for industrial use

展示HN：一种可训练、模块化的工业用电子鼻。
Show HN: A trainable, modular electronic nose for industrial use