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Logger sampling interval simulator

See what a logger actually records from the same 24 hours at 1, 5, 15, 30 or 60 minute intervals — and watch a real excursion disappear.

Logger sampling interval
8.0 °C limit00:0004:0008:0012:0016:0020:0024:00door open
── true air temperature (1 min)── what a 30-minute logger recordsdemo data
Readings in 24 h
48
every 30 min
Highest recorded
7.22°C
true peak 9.64 °C
Excursion seen?
No
nothing in the data
Duration you'd report
true duration 17 min

At 30-minute sampling this study looks clean. The highest reading is 7.22 °C, comfortably inside 2–8 °C, and nothing in the data suggests anything happened. In reality the room was above 8 °C for 17 minutes and reached 9.64 °C — the door opening at 10:24 fell neatly between two readings. An excursion you never sampled is an excursion you cannot investigate, report or learn from.

Every interval, side by side

What each sampling interval records from the same 24 hours
IntervalReadingsHighest recordedExcursionReported duration
1 min1,4409.64 °Cseen17 min
5 min2889.64 °Cseen15 min
10 min1449.64 °Cseen10 min
15 min968.56 °Cseen15 min
30 min487.22 °Cmissed
60 min247.07 °Cmissed

Same 24 hours, same room, same event. The only thing that changes is how often the logger looked.

Download this dataset

The 48 readings a 30-minute logger would have recorded, as a CSV you can open in Excel or paste into the MKT calculator.

The tool above stays free — this is only for the file

Demo data generated in your browser — a realistic cold-room profile, not a recording of a real facility.

Runs entirely in your browser · nothing you enter is sent to a server

How the calculation works

  1. 01A reference 24-hour cold-room trace is generated at 1-minute resolution, including compressor cycling, two defrost cycles and a goods-in door opening.
  2. 02The logger is simulated by taking every nth minute from that trace, starting at 00:00 — exactly what a logger set to an n-minute interval does.
  3. 03An excursion is any reading outside the limits; the duration a reviewer would report is the number of such readings multiplied by the interval.
  4. 04The true excursion is measured on the 1-minute trace, so recorded and actual can be compared directly.

Limitations

  • The trace is a realistic demonstration, not a recording of a real facility, and not a thermal model of any particular room.
  • Sampling starts on the hour. A logger started at a different offset would catch a different slice — which is itself the point: what a slow logger sees is partly luck.
  • It shows detection, not compliance. Whether an excursion matters is decided by the product's stability data.

Frequently asked questions

What sampling interval should I use for temperature mapping?
One to five minutes is the usual recommendation, because it resolves door openings, defrost cycles and compressor cycling. This simulator shows why: at 30 minutes, a 17-minute excursion that peaked at 9.6 °C leaves no trace in the data at all.
Can a logger miss a temperature excursion completely?
Yes. If the excursion begins and ends between two readings, nothing in the dataset records it. The study then looks clean, and the excursion cannot be investigated, reported or learned from.
Why does a slower logger show a lower maximum?
It only ever sees the moments it sampled. A peak that happens between readings is not averaged in or smoothed — it is simply absent, so the recorded maximum understates the real worst case.
Does a shorter interval mean too much data?
Rarely a real constraint. A modern logger stores weeks at one-minute resolution, and 1,440 readings a day is trivial to analyse. The storage saving from a slow interval is worth far less than the evidence it costs you.

Need the reasoning, not just the number?

Ask ValiTrac AI and see the standards evidence and the engine calculation behind the answer.

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