MapleSim Insight is a software tool that provides 3D visualization and simulation-based debugging for machine-level controller testing. It enables engineers to connect virtual machine models to automation tools using the FMU standard, offering real-time feedback and analysis of control strategies without the need for physical prototypes.

Key Features

3D Visualization and Animation Visualizes machine models in 3D during simulation for immediate visual feedback.

• Real-time animated views of mechanisms and components.
• Enhanced debugging through spatial understanding of system behavior.

2D Plotting and Data Analysis Provides detailed 2D plots for precise testing and debugging.

• Live data streaming and review of simulation results.
• Traces for visualizing simulation intervals and comparing outputs.

FMU Compatibility Works with any automation tool supporting the Functional Mock-up Unit (FMU) standard.

• Supports both Model Exchange and Co-Simulation FMUs.
• Compatible with platforms like Rockwell Studio 5000 and MathWorks Simulink.

Results Management Tool Manages and compares simulation results across multiple runs.

• Overlay and annotate output plots.
• Easier access to stored simulation data.

Data Recording and Export Records and saves streamed simulation data for later review.

• Export plot data as CSV files.
• Adjustable buffer and frame rate settings for data management.

User Guidance and Tutorials Includes a tutorial system for both new and advanced users.

• Step-by-step guidance for setup and operation.

Benefits

Accelerated Virtual Commissioning Reduces reliance on physical prototypes by enabling virtual testing of control strategies.

• Early detection of design flaws.
• Faster iteration and optimization of machine performance.

Seamless Integration with Automation Tools Directly connects to common industrial automation platforms.

• Eliminates the need to switch development environments.
• Real-time feedback for immediate design adjustments.

Enhanced Collaboration Allows sharing of simulation models and results with teams unfamiliar with modeling tools.

• Supports broader organizational access to digital twins.
• Simplifies communication between engineering and automation teams.