A company has data it would like to aggregate from its PLCs for data visualization and predictive maintenance purposes. Which of the following is the most likely destination for the tag data from the PLCs?
A company has data it would like to aggregate from its PLCs for data visualization and predictive maintenance purposes. Which of the following is the most likely destination for the tag data from the PLCs?
To aggregate data from PLCs for data visualization and predictive maintenance, the most likely destination for the tag data is a local historian. A local historian is specifically designed to collect, store, and manage historical data from PLCs, making it ideal for providing insights into operational history and detecting trends. This type of system is commonly used in industrial environments to ensure high-frequency data capture and archival, which is essential for effective data analysis and predictive maintenance.
PLCs (Programmable Logic Controllers) are commonly used in industrial automation to control machinery and processes. They generate a significant amount of data known as tag data, which includes real-time information about variables such as temperatures, pressures, and other operational parameters. A local historian is a dedicated software or system component used in industrial automation environments to collect, store, and manage tag data from PLCs. The local historian typically resides on-site or within the industrial network environment. Its primary function is to capture and archive historical data from PLCs at a high frequency, providing insights into the operational history and trends of the industrial processes.