Identifying Patterns: Difference between revisions
From PLC Wiki
No edit summary |
No edit summary |
||
| Line 1: | Line 1: | ||
----- | ----- | ||
Identify how the systems data contains a pattern-this can assist in maintaining system health and optimizing performance. Graphs allow individuals to identify repeating behavior, seasonal fluctuation, and other recurring trends that one might not otherwise find of importance in raw data. Such patterns may indicate critical information regarding system performance, including: | |||
----- | ----- | ||
| Line 7: | Line 7: | ||
'''Seasonal Fluctuations:''' | '''Seasonal Fluctuations:''' | ||
For | For instance, cooling systems might exhibit increased energy consumption during summer owing to a higher demand for cooling. When the pattern is recognized, the user may anticipate higher energy consumption and prepare and even make favorable readjustments in respect of energy-saving strategies or even schedule maintenance in off-peak months. | ||
------ | ------ | ||
| Line 19: | Line 19: | ||
'''Operational Efficiencies:''' | '''Operational Efficiencies:''' | ||
Certain problems in performance will reappear over regular intervals, for example, equipment failure, inefficient energy use, or fluctuating environmental conditions. | |||
By spotting these patterns, users can act preemptively, ensuring that issues are addressed before they cause more significant problems or system downtimes. | |||
------- | ------- | ||
[[Category:Graphs]] | [[Category:Graphs]] | ||
Revision as of 07:32, 19 November 2024
Identify how the systems data contains a pattern-this can assist in maintaining system health and optimizing performance. Graphs allow individuals to identify repeating behavior, seasonal fluctuation, and other recurring trends that one might not otherwise find of importance in raw data. Such patterns may indicate critical information regarding system performance, including:
Seasonal Fluctuations:
For instance, cooling systems might exhibit increased energy consumption during summer owing to a higher demand for cooling. When the pattern is recognized, the user may anticipate higher energy consumption and prepare and even make favorable readjustments in respect of energy-saving strategies or even schedule maintenance in off-peak months.
Recurring Issues:
Certain performance issues may reappear at regular intervals, such as equipment failure, inefficient energy use, or fluctuating environmental conditions. By spotting these patterns, users can act preemptively, ensuring that issues are addressed before they cause more significant problems or system downtimes.
Operational Efficiencies:
Certain problems in performance will reappear over regular intervals, for example, equipment failure, inefficient energy use, or fluctuating environmental conditions.
By spotting these patterns, users can act preemptively, ensuring that issues are addressed before they cause more significant problems or system downtimes.