At present, industry 4.0 brings two main trends or challenges. The focus is: how can design engineers accept the increasingly complex mechatronics system? How do they take advantage of the vast amount of sensor data generated by today’s industrial devices?
The first problem can be solved by designing workflow, which enables engineers to verify the behavior of mechanical system, electrical system and embedded software by using virtual representation (or simulation model) of equipment before physical mechanical test.
Model based design allows users to build a comprehensive multi domain model for extensive testing in simulation and virtual debugging, and serves as the basis of digital twins.
For the second problem, it is important to have available tools to enable design engineers to implement algorithms based on signal processing and statistical methods, such as machine learning, especially when engineers need to perform predictive maintenance or estimate the remaining service life of an equipment.
So, do you think these tools are attacking the root cause of design engineers’ problems? In a world of rapid technological innovation, design engineers need to provide them with additional tools and environment of abstraction layer.
With applications, predefined blocks and industry-related examples, our products such as MATLAB and Simulink tools enable engineers to prototype, validate and implement new mechatronics systems or algorithms in a shorter time. In addition, technologies that automatically generate C / C, IEC61131-3 or HDL codes for different hardware platforms help to overcome the challenge of legacy hardware dependence. However, the right tool selection can only be part of the solution.
Finally, in order to maintain competitiveness, it is also important to establish a correct attitude of “doing things differently from the past” within the company. It is just seeing this that some old companies in the machine manufacturer industry have been effectively implementing the new software function offline for many years, and then testing it on physical devices. Senior management is often opposed to new design methods, such as simulation and artificial intelligence, as well as the corresponding tool chain.
That’s why we then work with individual engineering teams and their leaders to make their projects successful, and then help them convince their management. In addition, we can work closely with universities to ensure that young engineers enter the job market with the right skills and mentality.
Editor in charge: yyx