https://store-images.s-microsoft.com/image/apps.39751.733b3af7-4afc-416b-8f38-50ff9556e8ba.a44bc4e2-de0a-4c91-b491-93f9f31f0140.8168ec34-b355-4056-937e-978626254087

Anode - Anomaly Detection: 2-Month Implementation

Codit BVBA

Anode is an end-to-end anomaly detection solution offered by Codit and Microsoft. It significantly reduces the cost and complexity of delivering anomaly detection for industrial assets.

Anode (anomaly detection) analyzes time series data from industrial sensors to detect anomalous vibration, temperature, and acoustic conditions in real time for simple and complex machines, like motors, fans, and other more complex assets such as CNC, packaging and injection molding machines found in many manufacturing settings.

Anode can generate value for customers by identifying the need for preventive maintenance, thereby helping minimize downtime and potentially preventing costlier unscheduled repairs.

 

Anode is simple to deploy, will deliver immediate results, and requires no complicated model development.  

  • Anode supports a wide range of new and brownfield sensors, allowing it to extend anomaly detection services to any field metric that can be measured.
  • It is ready to go in production settings, right out of the box. This means that customers can realize value from IoT in a matter of hours or days, not months or years. Its simple, predictable cost model means making a business case is easy
  • Anode allows customers to export data to other processes/workloads, making customization and extensions possible (but entirely optional).

 

Anode is built on top of Azure IoT Edge and integrates with the following Azure services:

  • Azure IoT Edge
  • Azure IoT Central
  • Azure Cognitive Services – Anomaly Detector and Metrics Advisor
  • Azure Stream Analytics
  • Azure Functions
  • Azure API Management
  • Azure Data Lake
  • Azure Event Hub
  • Azure Data Explorer
  • Azure Container Registry

概览

https://store-images.s-microsoft.com/image/apps.60664.733b3af7-4afc-416b-8f38-50ff9556e8ba.a44bc4e2-de0a-4c91-b491-93f9f31f0140.66412c89-fdfb-48ba-9647-de2748d56a00
中文(中国)
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