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    <title>B&amp;R on Loupe Documentation</title>
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    <description>Recent content in B&amp;R on Loupe Documentation</description>
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      <title>Mechanical Deviation Compensation</title>
      <link>/guides/motion/mechanicaldeviationcompensation.html</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>/guides/motion/mechanicaldeviationcompensation.html</guid>
      <description>&lt;p&gt;B&amp;amp;R has powerful tools to increase positional accuracy of motorized systems by compensating for mechanical deviation. This deviation can be characterized by correlating precise, external axis position measurements (where did the axis actually end up) with intended axis positions.&lt;/p&gt;
&lt;p&gt;We’ve seen confusion around terminology and conventions with this process. Recent improvements to the Automation Studio Help (i.e. AS 4.10 vs AS 4.5), the addition of more modes, and having explicit formulas included has clarified usage.&lt;/p&gt;</description>
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      <title>Save &amp; analyze watch window snapshots (.pvm)</title>
      <link>/guides/diagnostics/watch-windows-pvm.html</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>/guides/diagnostics/watch-windows-pvm.html</guid>
      <description>&lt;p&gt;A watch window (variable monitor) shows live process-variable values while you&amp;rsquo;re connected to a PLC. Less obviously, &lt;strong&gt;saving a watch configuration also snapshots the current values&lt;/strong&gt; — so a single &lt;code&gt;.pvm&lt;/code&gt; file is both a reusable variable list &lt;em&gt;and&lt;/em&gt; a machine-state capture you can archive, hand off, or diff offline. This guide covers saving a snapshot and analyzing it offline with a few small Python scripts.&lt;/p&gt;
&lt;h2 id=&#34;objective&#34;&gt;Objective&lt;/h2&gt;
&lt;p&gt;Save a watch window snapshot that captures live variable values, then search or diff those snapshots offline as JSON — with no live connection to the machine.&lt;/p&gt;</description>
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