Data Logging

The ASAP 2020 Plus analyzer has the added capability to collect, access, and use real time transient data (pressures, temperatures, quantities adsorbed, etc.) during adsorption and desorption measurements. Data are collected every half second. Data logging can also be performed from a Smart VacPrep degasser attached to the analyzer. Log in to your customer portal to access the Smart Vac Prep operator manual for instructions.

This document provides :

  • installation instructions for the PuTTY client and outlines how to access and use the data file, and
  • installation instructions for Python components and outlines how the captured data can be handled using Python scripts.

Install the PuTTY Client

PuTTY is an open source SSH and telnet client that can be used to access the transient data output by the ASAP 2020 Plus analyzer. No additional Micromeritics application is required. The PuTTY .exe file runs directly from a desktop shortcut. Download the PuTTY application using the following URL (only save the putty.exe file):

http://www.chiark.greenend.org.uk/~sgtatham/putty/download.html

To connect to the ASAP 2020 Plus analyzer:

  1. In the ASAP 2020 Plus application, go to Unit [n] > Unit Configuration and make a note of the analyzer IP address.

  1. In the PuTTY Configuration window:
  1. Enter the analyzer IP address (from Step 1) into the PuTTY application.
  2. Enter 54000 in the Port field.
  3. Select Raw as the connection type.

  1. To save the settings (optional):

  1. In the Category box, select Session > Logging.
  1. In the Session logging group box, select All session output.
  2. In the Log file name group box, click Browse to select the destination and enter a .txt file name. It may be helpful to name this file the same as the sample file to be analyzed.
  1. Click Open to start collecting the data.
  The PuTTY application can be started before the ASAP 2020 Plus analyzer starts collecting data — it will be waiting until data output from the analyzer begins.

Access the Data Log File

The text file created in the previous section (Step 3c) contains the transient data and can be accessed using any means that accepts tab separated values — such as: Notepad, Microsoft Excel (or other spreadsheet software), or programming languages that read .txt or .xls files — such as MATLAB, Octave, and Python. MATLAB has the xlsread() function and Octave has the textread() function.

 
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