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    Dylos Logger數據統(tǒng)計下載軟件

    In this example, the Particles Per was set to “cubic foot” so that the data is displayed in particl
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    文檔詳情

    In this example, the Particles Per was set to “cubic foot” so that the data is

    displayed in particles per cubic foot format which is 100 times the numbers

    displayed on the LCD of the DC1100 itself. The software merely adds two

    additional zeroes to the end of the numbers received from the DC1100 in order to

    format the data into particles per cubic foot.

    The data from the DC1100 is broken into three sections – minute history, hour

    history, and day history corresponding to the same data that can be accessed

    from the DC1100 front panel via the minute, hour, and day history modes

    respectively. The minute history is labeled MIN, the hour history HR, and the day

    history DAY. The following is an abbreviated example output:

    The most recent data is listed first so that 26500/2400 was the particle

    concentration one minute ago and 22200/1200 was the concentration two minutes

    ago, etc. Same is true for the other history sections. At some points in the history

    output the words “TIME BREAK” will likely occur. A TIME BREAK is inserted

    into the history whenever the continuity of time is broken in the data history.

    The DC1100 internal time clock only runs when the unit is plugged in to AC power.

    Thus, when the unit is unplugged and then plugged in again it loses track of the

    time relationship between any new data stored and old data. For example, in the

    above example the DAY history of 34400/1700 is known to be the sample stored

    for the previous day, however, the 58800/6500 data could have been two days

    ago or 2 months ago depending on how long the unit was unplugged.

    You now have the option to view the history within the window or store it to the

    Log file. You also have the options to overwrite the existing data in the log file and

    to graph the data in the graph window. As stated before, the data lacks the proper

    time stamping and format to graph properly, but nevertheless, some users might

    find graphing useful. The following screenshot shows how the download in the

    example will graph:

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