A data logger is also known as a data recorder or data acquisition. It is a method to record data over a period of time and/or events.
The recorded information can come from sensors in the field. They can be digital or analog. With the analog (voltage or current) we can measure temperature, pressure, sound, weight, length, etc. Digital data can be used for counts, times, events (motor overload), etc.
Data collecting can be time or event-driven. Time-based would be like collecting data every minute, shift, day, etc. An event-based collection would be from an error in the field such as an overload of a motor or a fault with a temperature controller.
Data mining / analysis is the most important part of the data logging.
Data mining/analysis is the way in which we look at the data and determine what to do. Clustering is a method to look at the data in similar groups for comparison. An example of this would be the amount of material made on individual shifts in the plant. Setting up the data logging in a way to examine the output over time is very helpful in determining methods to increase productivity in the manufacturing environment.
Time studies or observations are vital in the lean manufacturing world. Data logging can be useful in assisting with these studies. However, unlike the usual manual approach, this time study can be continuous.
- Automation Direct – Do-More – H2-DM1E PLC (Ethernet Modbus TCP)
- Do-more Designer 1.3 (Simulator instead of PLC mentioned above)
- Windows-based computer running IIS
- Visual Basic 6
Additional information on Omron Host Link Protocol and Indirect Addressing can be found in the eBook.
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