Smart Industry System Design: The Top 3 Engineering Questions and The Answers.
The industrial world is changing with the emergence of smart industry.
Today’s production machines and handling equipment have become highly integrated mechatronic systems with a significant portion of embedded software. The Smart Industry Overview outlines how you can use MATLAB® and Simulink® for smart industry system design. Use machine data to make predictions, apply models and simulation to control complex systems, and develop and implement embedded software without manual coding.
1. How can you use machine data to improve production performance or predict failure?
Analyze machine and production data, identify patterns, and optimize machine parameters and service intervals can be done with MATLAB by:
- Offline Data Analysis on recorded data stored in files, databases, or in the cloud
- Online Data Analysis to continuously analyze machine behavior
2. How can you develop optimized closed-loop controllers for increasingly complex systems?
Virtual commissioning based on Model-Based Design helps optimize controls structures and parameters during simulation. During simulation it is faster, safer and less expensive to design and test your controller and optimize parameters.
3. How can you implement controls algorithms and state machines on a PLC or industrial PC?
Automatic code generation allows you to deploy algorithms that have been tested in simulation on common PLC or industrial PC platforms. This workflow is much faster than hand coding leading to a productivity increase 200-300%.
Download the PDF to see examples in the automation and machinery industry and learn how to address the top 3 engineering challenges. You do not need to be a programming expert to build and implement high-quality software; just focus on the technical engineering expertise for designing the functionality of technical systems.
