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Build Digital Twin with OCI and Maplesoft

About This Workshop

Youtube Video

About This Workshop
Simulation software has been used for dynamics system design for a long time. It is single machine design and running. Once the simulation finishes, the model is put on the back burner. Our goal is to leverage these models to deploy it into cloud

Detect anomaly based on history data, continuously learn
Provide easy-to-understand root cause analysis, so that service providers know exactly how to fix the issues at hand
Predict major failures with high accurate percentage
Recommend tuning of system to improve efficiency

This workshop proposed a new framework to run digital twin in OCI to monitor assets in large fleet. It opens us a new way to leverage cloud infrastructure to achieve close loop for assets monitoring with OCI Anomaly Detection and digital twin solutions from our partners.

Workshop Info

1 hour, 30 minutes

Lab 1 Set up Environment

•Task 1 OKE

•Task 2 Streaming

•Task 3 Object Storage

•Task 4 Notification Service

Lab 2 Deploy Digital Twin/Simulation Model

•Task 1 Deploy Simulation

•Task 2 Generate Norman Signal, controlled by API

Lab 3 Train Anomaly Detection Model

•Task 1 Create Project

•Task 2 Create Dataset

•Task 3 Create Model

Lab 4 Monitor  with anomaly Detection

•Task 1 Simulation Model Parameter

•Task 2 Modify Model Parameter

•Task 3

Lab 5 Explore Anomaly Detection

•Task 1 Explore data with OCI data science

•Task 2 Diagnosis anomaly with Maplesoft MapleSim

  • Familiarity with Oracle Cloud Infrastructure (OCI) is helpful
  • Familiarity with Terraform
  • Familiarity with Curl and API

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