How to Control and Automate Instruments in Python

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Controlling test instruments remotely with a test sequencer

Developing test automation software to characterize, verify, or validate designs requires engineers, researchers, educators, and scientists to use programming tools such as Python. Developing such test automation software from scratch can be a daunting effort, especially for tests that measure thousands of test points over long periods ― days, weeks, or months. Engineers measure multi-dimensional data, such as current, voltages, temperature, and frequency, and perform extensive tests to establish compliance with external standards and meet product specifications.

Often, research labs, manufacturing test processes, and even university education labs run beyond office hours. Engineers, researchers, and students need an industry-grade test sequencer coupled with a versatile charting tool for users to visualize, compare, analyze, and share test results in different formats. With multiple users in the lab, a built-in scheduler helps to optimize usage for hybrid collaborative work. Therefore, a graphical test sequencer with a Python plug-in will help simplify and increase lab productivity.

Remote instrument control and test automation solution

Making test measurements that generate large amounts of test data over long periods requires a remote instrument control and test automation solution. Many engineers, researchers, and educators already know Python programming for device controls and data analysis. When coupled with the Keysight Digital Learning Suite, they can continue leveraging their existing knowledge and Python code. Digital Learning Suite, powered by the Keysight OpenTap engine, handles the frontend test automation entirely.

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