Siemens Energy Simplifies Safety Inspections With NVIDIA Triton Inference Server

Siemens Energy is leveraging AI to deliver a path to autonomous power plants, reducing costs along the way. Hundreds of inspection types are usually performed by human walk-throughs, requiring domain expertise. Additionally, many power plants are no longer in always-on mode and, therefore, don’t require 24/7 staffing. As a result, Siemens is developing autonomous power plants, starting with automated remote monitoring for liquid, steam, and oil leaks, as well as abnormal noises.

Siemens Energy runs multiple deep learning models using NVIDIA Triton™ Inference Server on Amazon Web Services (AWS). These models process streaming data from cameras and sensors at the power plants for real-time inference of various safety inspections. Model ensembles enabled by Triton Inference Server also allow for additional pre-processing of images, such as person anonymization.