Spotting Trends
From PLC Wiki
Spotting trends is one of the most valuable uses of data visualization within AQue Lite. By tracking parameters over time, users can identify gradual changes or consistent patterns in system performance. For example, by reviewing the historical performance of cooling systems, users may notice a gradual increase in energy consumption as the equipment ages or a steady improvement in energy efficiency following an optimization initiative.
Time-Based Insights:
Trends allow users to examine how a parameter behaves over a specific time period, such as daily, weekly, monthly, or annually. This helps to understand both long-term and short-term changes.
Predicting Future Behavior:
Observing trends can help predict future system performance based on historical data. For example, if a cooling system has shown consistent performance over several months, users can anticipate that it will continue to operate within acceptable parameters unless a trend suggests otherwise.
Anomaly Detection:
By comparing current data with historical trends, users can detect anomalies or deviations from the expected performance. This proactive approach helps prevent issues before they become critical.
By spotting trends, businesses can optimize resource allocation, avoid inefficiencies, and plan maintenance schedules based on historical performance, ensuring that systems run smoothly and efficiently.