Introduction
A digital twin represents a digital model of real-world physical objects. Through measurement,simulation, and data analysis, it can perceive, diagnose, and predict the states of these physical entities in real-time. It can control their behaviors via commands, evolve through learning between digital models, and improve decision-making throughout the product lifecycle. With InsightAPM, edge assets can be connected to the cloud for unified management. This involves creating digital twin models of the assets, visualizing historical and real-time data, managing alarms and warnings, conducting statistical analysis, and performing predictive maintenance on the equipment.These capabilities enhance the performance of operational assets and improve the company's overall operational efficiency.
Features
- 01
Digital Twin Modeling: Simulate real asset operations using digital models
Integrate and process data from diverse components
Quickly establish groups of physical assets
Create and manage digital twin models for physical assets, including mapping and interoperability management
- 02
Data processing components makes statistical analysis easy
Data analysis components, including mean analysis and standard deviation
Resource usage components, including usage analysis and loss analysis
Event alarm components, including alarm levels, general alarms, event status analysis components, and event processing status analysis components
Equipment management components, including OEE, equipment status, and reverse control
Demonstration
Low-code asset module creation and data source binding
Low-code asset module creation and data source binding
View data for preprocessing
View data for preprocessing