Plant Maintenance
PLANT MAINTENANCE
Maintenance
Predictive Maintenance of Electrical Systems
This type of maintenance differs from traditional approaches as it aims to prevent malfunctions by analyzing real-time operational data rather than relying solely on statistical information.
Digitalization of Information
This is made possible through the advancement of digitalization, utilizing
tools such as sensors and interconnected devices that enable precise
monitoring of system functionality. These devices collect data that feed
algorithms necessary for predictive maintenance.
Key Advantages of Predictive Maintenance
- Interconnectivity: The main components of the system are equipped with specific interconnected sensors that collect data.
- Energy Savings: Sensors are wireless and Bluetooth-connected, ensuring low energy consumption.
- Automation: The use of next-generation machinery, such as the SCADA system with self-learning technology, helps prevent failures and service disruptions.
- Smart Monitoring: Continuous and rapid remote access to machines significantly reduces maintenance time and costs.
PLANT MAINTENANCE
Solutions
Tools and Solutions for Predictive Maintenance
• SCADA System Supervisory Control and Data Acquisition for industrial processes.
• Gateway: A device used for data transmission between a local plant network and another electrical network or system.
• PPC (Power Plant Controller): A controller mainly used in
photovoltaic plants.
• PLC (Programmable Logic Controller): A programmable logic controller used in industrial settings to automate various electromechanical processes.
• Sensori RFIDDeployed on switchboards and cabinets for wireless temperature monitoring.
Through the integration of these technologies, which are closely
linked to the world of IoT and machine learning, we are able to
supervise and maintain an electrical system in optimal conditions
throughout its entire lifecycle.