Math Bridge: Sensor Response and Sampling

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Math BridgeSensorsStruggle-friendly runway

How response time sets a sampling floor

One thread from a 30-second time-to-90% to the chapter's 0.0122 Hz bandwidth and 41-second interval.

Phoebe, the physics guidePhoebe guides
The one targetTurn response-to-90% into a sampling interval.
The chapter case30 s humidity response, first-order model.
What it buys youSeparate transducer bandwidth from ADC resolution.

A field team has a real problem to settle: How response time sets a sampling floor They must decide what happens before they change sensor time to 90 percent in seconds on the device. Predict the direction first.

See the relationship first

The figure reads from left to right. The blue card is sensor time to 90 percent in seconds. The middle card uses this page's rule. The green card is corner frequency. Follow the arrows: set the input, use the rule, then read the result and its unit.

The audit later on checks more than one number. Here, the added model uses the baseline named below and holds every other chapter value fixed. That sentence bridges the fixtures, so the numbers do not change without a reason.

Sensor time to 90 percent in seconds changes corner frequency An input card leads through the page rule to the corner frequency result. SET INPUT ONE CONTROL USE RULE predict calculate check units READ RESULT
Follow the arrows. A slower response stretches τ, narrows physical bandwidth, and lengthens the mathematical sampling interval.

Derive the baseline in four moves

  1. 1

    Name the input. The chapter baseline for sensor time to 90 percent in seconds is 30.

  2. 2

    Name the rule. τ=t90/ln10; fc=1/(2πτ); fs,min=2fc

  3. 3

    Put in the chapter value. Set sensor time to 90 percent in seconds to 30. The page rule gives corner frequency as 0.01222 Hz.

  4. 4

    Read the result. Keep Hz next to the value. Use it only within the limits on this page.

Predict, then change sensor time to 90 percent in seconds

Try Predict what happens to corner frequency. Move one control, calculate, then check your idea.

30
Chapter baseline
Corner frequency

Observe A slower response stretches τ, narrows physical bandwidth, and lengthens the mathematical sampling interval. Reset to 30 and compare corner frequency.

Explain Only sensor time to 90 percent in seconds moves here. The other chapter values stay fixed.

Check yourself

What should you do before you trust the result?
Answer: Predict its direction, use the shown rule, keep the units, and reset to the worked baseline.
What does this small model leave out?
Answer: Only sensor time to 90 percent in seconds moves. Field effects named in the page limits stay fixed.

1. The sensing element has memory

A real humidity film cannot jump instantly to a new reading. In a first-order model, the remaining gap shrinks exponentially with time constant τ.

Phoebe: A slow sensor is already a low-pass filter before firmware samples anything.

2. Recover τ from time-to-90%

remaining gap=e^(−t/τ)
1

At 90%Only 10%=0.1 of the gap remains.

2

Take logsln(0.1)=−t90/τ=−ln(10).

3

Make τ the subjectτ=t90/ln(10).

3. Move from τ to sampling

A first-order corner is fc=1/(2πτ). Nyquist requires fs≥2fc, so the longest interval at that floor is 1/(2fc).

t90 → τ → fc → 2fc → maximum sample interval

This is a minimum mathematical floor, not a recommended control-loop rate.

4. Try the response-to-90%

τ=t90/ln10; fc=1/(2πτ); fs,min=2fc

TryMove between faster and slower sensing elements while keeping the chapter's ADC example fixed.

Time constant
Corner frequency
Nyquist floor
Longest floor interval
Separate ADC step

ObserveAt t90=30 s, τ=13.0 s, fc=0.0122 Hz, and the Nyquist floor is 0.0244 Hz: about one sample every 41 s.

ExplainA slower response stretches τ, narrows physical bandwidth, and lengthens the mathematical sampling interval.

Technical boundaries.

A single first-order, isothermal response does not cover multistage diffusion, airflow, enclosure lag, humidity hysteresis, digital sensor conversion cadence, control latency, or anti-alias filter shape.

Practical logging often samples faster than the bare Nyquist floor
Needs separate evidence

Use field evidence or a deeper model before release.

5. Work the chapter's 30 seconds

τ=30/ln10=13.0 s
fc=1/(2π×13.0)=0.0122 Hz

The corresponding period 1/fc is about 82 s. That is a bandwidth scale, not a promise that every event repeats every 82 seconds.

6. Keep amplitude separate

fs,min=0.0244 Hz → interval≈41 s
q=3.3/1024=3.22 mV; ideal SNR=62.0 dB

The first line limits time resolution. The second limits voltage resolution. Neither one repairs the other.

7. Check yourself

Why divide t90 by ln(10)?
Answer: Reaching 90% leaves a 0.1 gap, and −ln(0.1)=ln(10).
What sample interval matches the chapter's bare Nyquist floor?
Answer: About 41 seconds, from 1/0.0244 Hz.
Does a 10-bit ADC determine sensor bandwidth?
Answer: No. Bit depth sets amplitude steps; the transducer response sets physical bandwidth.
Honesty boundary.

These are the chapter inputs, worked results, and named teaching assumptions.

The catalog-typical 30 s humidity response
Named teaching assumption
13.0 s time constant
Time, interval, or service-life value
0.0122 Hz corner
Frequency, sample rate, or event rate
0.0244 Hz sampling floor
Frequency, sample rate, or event rate
41 s interval
Time, interval, or service-life value
10-bit ADC
Digital resolution or converter setting
3.3 V reference
Voltage or voltage-step value
3.22 mV step
Voltage or voltage-step value
62.0 dB ideal ceiling come from the chapter
Gain, loss, margin, or level ratio

They are a teaching model, not a universal sensor data-sheet specification.