Pump interlock Karnaugh map
This pump-interlock example turns a truth-table output into a four-variable grid that can be reviewed with the control logic. Repeated ones in adjacent positions highlight candidates for eliminating variables, while the fully asserted third row offers a larger grouping opportunity. A Karnaugh map is most useful when the function has few variables and the person reviewing it needs to see why a term disappears. Verify the resulting expression against the original truth table before putting it into a programmable controller. Before sharing it, compare the chart with the source table and make the scope explicit. A clear date range, population and unit help another reader interpret the pattern correctly and decide whether follow-up analysis is needed.
Open it in the AI editor with a prompt pre-filled — keep what works, change what doesn't.
Scenario
Pump interlock Karnaugh map is prepared for a focused review.
Key decisions
- Set the scope: Use one reporting period and one clear unit.
- Read the pattern: Identify the largest concentration or directional change.
- Check the source: Confirm the displayed values against the underlying data.
When to reuse this
Use this heatmap when the stated values and labels are the information the reader needs to compare.
Frequently asked questions
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