Description

Introduction of AspenTech AIOT/IP21

AspenTech’s AIoT (Artificial Intelligence of Things) and IP21 solutions provide cutting-edge tools for improving operational efficiency, reducing costs, and enhancing decision-making in industries such as manufacturing, energy, and chemicals. By integrating AI and IoT technologies, these platforms help businesses capture and analyze data from their operations in real time, offering valuable insights for predictive maintenance, process optimization, and performance monitoring.

The AIoT solution helps organizations make better use of their existing assets, while IP21, as a real-time data management and visualization platform, ensures that every operational decision is data-driven and based on real-time information. This course will guide you through how to implement these systems for smarter, more efficient business processes.

Prerequisites

• Basic knowledge of industrial operations or manufacturing processes.
• Familiarity with Internet of Things (IoT) concepts and artificial intelligence (AI).
• Experience with basic data analysis or IT infrastructure is helpful, but not required.
• A general understanding of AspenTech products or other industrial software tools will be beneficial.

TABLE OF CONTENT

• 1.Introduction to AspenTech AIOT/IP21
  1.1 Overview of AspenTech AIOT/IP21
  1.2 Purpose and Applications
  1.3 Key Features and Capabilities
• 2.Installation and Setup
  2.1 System Requirements
  2.2 Installation Process
  2.3 Configuration and Setup
• 3.Data Acquisition
  3.1 Data Sources
  3.2 Connecting to Industrial Equipment
  3.3 Data Acquisition Strategies
• 4.Data Storage and Retrieval
  4.1 Overview of Data Storage
  4.2 Database Configuration
  4.3 Retrieving Data from IP21
• 5.Real-time Monitoring
  5.1 Real-time Data Visualization
  5.2 Monitoring Industrial Processes
  5.3 Alerts and Notifications
• 6.Data Analysis and Reporting
  6.1 Analyzing Historical Data
  6.2 Generating Reports(Ref: Excel for Beginners: Mastering the Basics to Advanced)
  6.3 Statistical Analysis
• 7.Integration with AI and IoT
  7.1 AI Integration
  7.2 IoT Connectivity
  7.3 Enhancing Analytics with AI and IoT
• 8.Security and Compliance
  8.1 Security Best Practices
  8.2 Access Control
  8.3 Compliance with Industry Standards
• 9.Maintenance and Troubleshooting
  9.1 Regular Maintenance Tasks
  9.2 Troubleshooting Common Issues
  9.3 Debugging and Diagnostics