In recent years, pilot plants have evolved with the integration of advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and process automation. These advancements have improved efficiency, reduced operational costs, and ensured greater accuracy in experiment control and monitoring.
Some of the most relevant advancements include:
- Digitalization and smart sensors: These enable real-time monitoring of process variables, ensuring greater accuracy and reducing human errors.
- Advanced automation: The integration of automatic control systems enhances the reproducibility and reliability of experiments.
Their importance lies in their ability to minimize risks by validating new ideas before large-scale implementation, facilitating innovation in key industrial sectors. Additionally, they provide a safe environment for training technicians and operators in real-world settings without compromising safety or production efficiency.