What it actually means

이상적인 조건(하나의 온도, 하나의 압력점, 교정 직후, 외부 스트레스 없음)에서 센서는 얼마나 정확하게 문제를 해결할 수 있습니까? pressure change?

Numbers you'll see: ±0.03hPa ±0.015 hPa ±1 Pa — impressively small.

The catch: This assumes a temperature-controlled lab, at the exact calibration pressure, on a PCB that hasn't warped by a single micron. It tells you how 예민한 the sensor is — its resolution ceiling. It does ~ 아니다 tell you how accurate your field measurement will be. It's the spec equivalent of a car's horsepower measured on an engine dyno with no exhaust, no accessories, and ideal fuel.

What it actually means

Put the sensor at a known pressure and known temperature, take a reading, compare to a calibrated reference standard — how far off is it?

Numbers you'll see: ±1.5hPa ±5hPa ±15hPa — much bigger than relative accuracy.

The catch: This includes manufacturing variation, calibration residuals, and non-linearity — all the things relative accuracy leaves out. But it's still usually quoted at a single temperature point (often 25°C). Change the temperature and this number degrades. 이에 대해서는 다음에 더 자세히 설명하겠습니다.

What it actually means

For every 1 Kelvin the temperature changes, how much does the sensor's zero-point drift? Expressed in pascals of pressure-equivalent drift per degree.

Numbers you'll see: 1.5파/K 3파/K 10파/K

The catch: This is the one that bites engineers who test on the bench at 22°C and wonder why field data looks wrong at −20°C or +60°C. A TCO of 1.5 Pa/K over a 40°C swing shifts your reading by 60 Pa ≈ 0.6 hPa ≈ 5 metres of altitude error. For a drone hovering at a set altitude, that's the difference between "stable" and "slowly drifting into a tree."

What it actually means

동일한 온도, 동일한 압력, 동일한 공급 전압으로 1년 동안 센서의 전원을 켜 둔 경우 판독값이 초기 교정 값에서 얼마나 이동합니까?

Numbers you'll see: ±0.1% FS/year ±3hPa/년 — or sometimes "not characterized" (번역: 우리는 그것을 테스트하지 않았습니다) 또는 전혀 아무것도 아닙니다 (번역: 우리는 정말로 당신이 알기를 원하지 않습니다).

The catch: This is the hardest spec to get because it requires a 1,000-hour accelerated life test. Manufacturers that publish it have done the reliability work. Manufacturers that don't — you'll be doing that testing yourself. Drift comes from mechanical relaxation of the silicon diaphragm, moisture ingress, and stress relaxation in the die-attach adhesive. None of it can be compensated in software because it's irreversible.

What it actually means

The sensor's intrinsic electrical noise, expressed as pressure-equivalent noise spectral density. Usually in Pa/√Hz or hPa RMS. Sometimes listed; sometimes buried on page 14 of the datasheet; sometimes not there at all.

The catch: A 24-bit ADC does not give you 24 bits of pressure resolution. The bottom several bits are noise. Example: if pressure noise is 0.5 Pa RMS at 100 Hz output rate and full-scale is 700,000 Pa (7 Bar), effective resolution is log₂(700,000 / 0.5) ≈ 20.4 bits. The bottom 3–4 bits are random. Averaging reduces noise by √2 per doubling of samples — but you pay in response time.

What it actually means

절대 정확도, 전체 작동 온도 범위에 대한 TCO, 비선형성, 히스테리시스, 장기 드리프트, 전원 공급 장치 거부 등 모든 오류 소스를 RSS 또는 최악의 경우로 결합합니다. 결과는 센서가 실제 세계에서 생성하는 최대 오류입니다.

Numbers you'll see: ±0.5%FS ±1% FS ±2.5% FS — 항상 데이터시트에서 가장 큰 정확도 숫자입니다.

The catch: TEB is the 솔직한 spec — and the one manufacturers least want to highlight. A sensor with ±0.03 hPa relative accuracy and ±5 hPa absolute accuracy over temperature might have a TEB of ±10 hPa or more once you factor in drift, supply voltage variation, and mounting stress.