Chapter 11 Datalog Function
11.3.8 Data Omission
Data omission refers to situation where normal data collection is not possible. If data collection interval is set too short,
data sampling might not be performed at every set interval, which in turn might cause data omission. Cases include the
following.
(1) Buffer Excess
If data sampling condition is set too fast or too much data are being sampled, the speed of saving buffer memory
values into the temporary file in the SD memory may be slower than the data collection speed, which causes the
buffer storage to be exceeded and data omission.
(2) Too Frequent File Conversion
Upon occurrence of file conversion condition, the temporary file should be converted to CSV file to create a new
temporary file. Meanwhile, the buffer memory values cannot be saved into the temporary file. Therefore, too frequent
occurrence of file conversion condition may cause the buffer memory storage to be exceeded, and thus leading to
data omission.
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