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Why Industrial IoT Sensor Data Is Less Reliable Than Developers Assume

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A technical guide published on DEV Community walks software developers through the full data pipeline of an industrial IoT system, from a physical sensor to a cloud application. The piece explains that temperature sensors like PT100 detectors carry inherent measurement tolerances — up to ±1.3°C — and can drift further over years of uncalibrated use. Signal conversion via 4-20mA transmitters introduces additional sources of error, including electrical noise, quantisation limits, and misconfigured scaling ranges. PLC scan cycles mean fast physical events can go undetected, and timestamps often reflect when data was polled rather than when an event actually occurred. The guide urges developers working on the software side to account for these hardware-layer uncertainties when designing alerts, thresholds, and data quality checks.

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