As we have already seen, most of these technologies are nested together like Russian dolls. Industrial IoT devices provide real-time information to the cloud, while the cloud distributes this data to the analytics platform and other areas where it is needed, while Big Data provides closer collaboration and information sharing for multiple facilities, partners, and even industries. s method.
Artificial intelligence is helping smart manufacturers and factories combine each of these technologies to bring us closer to a world where there are no human errors and no manual work. As we know, artificial intelligence is becoming indispensable in predicting customer behavior, predicting machine failures, automating inventory processes, and reordering raw materials.
The future has more potential. Generative design is becoming a way to create more efficient product designs with certain fixed parameters. It works as follows: Human engineers use the generation design software to specify parameters such as material usage, desired tolerances for the final design, and even cost requirements. Then, the artificial intelligence in the program generates one or more physical designs that meet the required criteria.
As artificial intelligence matures, we are witnessing the proliferation of autonomous technologies, including robotics. Collaborative robots, also known as cobots, are an important technology for attracting robot factories. Cobots work with human workers to effectively reduce the burden on manual workers.
In an assembly plant, collaborative robots can lift and carry heavy objects, such as engine parts or car panels, while human workers do fine and dexterous work, such as welding them in place.
In other factory environments, we can expect cobots to perform more important inspection tasks and other tasks that require considerable attention to detail and costly errors.