CX1000/CX2000

DAQSTATION provides a variety of recording options that go far beyond the capabilities of conventional recorders. These features let you efficiently record just the data you need, saved to your choice of removable PC storage media. Optional CompactFlash memory cards or Zip disks allow data recording over extended periods of time in automated recording systems.

MANUAL mode
In MANUAL mode, the data held in internal memory are stored on removable storage media when you insert the media in the drive. This mode is useful in cases where you want to store a relatively small amount of data on a floppy disk for quick checking.

AUTO mode
In AUTO mode, data is stored at preset intervals on the removable storage media inserted in the media drive. This recording mode is ideal for saving measurements over extended periods of time in automated recording systems.

CX Series uses flash memory as internal memory for storing measurement data. Flash memory is a type of nonvolatile memory that does not require a battery backup. Power interruptions will not cause it to lose stored data.

Like measurement data, settings data can be saved as a separate file on external storage media.

Display data—for extended-period trend recording

The display data format is used to save data displayed as waveforms.
Each time the waveform display is updated, two data values (maximum and minimum values) measured since the previous update are saved.

File structure

The two data formats can be used in combinations such as the following:
1. Display data only
2. Event data only
3. Display data and event data in combination

Display data, event data, and a trigger function can be used in combination.
With this approach, display data with a slow sample rate can be
used for continuous extended-period recording, and event data with a
faster sample rate can be used to record short-term details.

For saving display data files only, with six control loops, 10 measurement channels, and no calculations

Event files, combined with trigger functions, provide a powerful tool for detecting and analyzing abnormal data. Pretrigger settings can also be made, so data preceding and following a trigger can be analyzed