Features
- RH accuracy: ±1.8%RH, typical (10 to 90%RH, 25°C)
- Hydrophobic membrane, IP67 rating
- 14-bit resolution: 0.01%RH, typical
- Fast RH response time: 4 seconds, typical
- Temperature sensor accuracy: ±0.2°C, typical (-10 to +80°C)
- Low current consumption: 1.0µA average (8-bit resolution, 1.8V supply), 24.4µA average (14-bit resolution, 3.3V supply), one RH and temperature measurement per second
- Excellent stability against aging
- Very low power consumption
HS310x - Product Image
Description
The HS3102 is a highly accurate, fully calibrated relative humidity and temperature sensor. The MEMS sensor features a proprietary sensor-level protection ensuring high reliability and long-term stability. The hydrophobic membrane covering the lid inlet port prevents particles and liquids from entering the sensor and compromising the performance.
| Part Number | Status | Samples | Stock | Package | Lead Count (#) | Carrier Type | Moisture Sensitivity Level (MSL) | Pb (Lead) Free | Pb Free Category | Temp. Range (°C) |
|---|---|---|---|---|---|---|---|---|---|---|
| HS3102 | Obsolete | N/A | In Stock | LGA | 6# | Cut Tape | 3 | Yes | e4 Au | -40 to 125°C |
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- End Of Life NoticePDF 748 KB Apr 15, 2025
- Application NotePDF 1.81 MB R36AN0021EU0100 Rev.1.00 Jan 14, 2025AI-generated Summary: Optimal methods for measuring and evaluating polymer-based capacitive relative humidity (RH) and temperature (T) sensors in the HSx series focus on ensuring accurate, stable, and reliable sensor performance. Key practices include using temperature/humidity-controlled chambers, precise calibration with traceable reference instruments, proper sensor placement, and adequate air circulation. Testing involves controlled RH and temperature profiles, sensor conditioning, and data logging at 1Hz with averaging to reduce noise. Performance metrics like RMSE and mean error help analyze sensor accuracy. The document also addresses troubleshooting common issues such as temperature offsets and humidity variations due to environmental or PCB factors.
- Application NotePDF 131 KB R36AN0017EU0100 Rev.1.00 Nov 17, 2023AI-generated Summary: Temperature and relative humidity readings from HS sensors on PCBs can be affected by heat generated by nearby components and limited ventilation. Compensation involves measuring the sensor temperature and environmental temperature with an external calibrated sensor, then correcting the sensor output by subtracting the heating effect. Relative humidity compensation requires calculating saturation vapor pressures at both measured and corrected temperatures, then adjusting the humidity reading accordingly. Equations and examples demonstrate how to apply these corrections to improve accuracy in environments where PCB heat influences sensor readings.
- Product Change NoticePDF 368 KB Jul 26, 2023
- Product Change NoticePDF 99 KB Apr 13, 2022
Recommended Documents (1)
Datasheets (1)
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- Application NotePDF 1.81 MB R36AN0021EU0100 Rev.1.00 Jan 14, 2025AI-generated Summary: Optimal methods for measuring and evaluating polymer-based capacitive relative humidity (RH) and temperature (T) sensors in the HSx series focus on ensuring accurate, stable, and reliable sensor performance. Key practices include using temperature/humidity-controlled chambers, precise calibration with traceable reference instruments, proper sensor placement, and adequate air circulation. Testing involves controlled RH and temperature profiles, sensor conditioning, and data logging at 1Hz with averaging to reduce noise. Performance metrics like RMSE and mean error help analyze sensor accuracy. The document also addresses troubleshooting common issues such as temperature offsets and humidity variations due to environmental or PCB factors.
- Application NotePDF 131 KB R36AN0017EU0100 Rev.1.00 Nov 17, 2023AI-generated Summary: Temperature and relative humidity readings from HS sensors on PCBs can be affected by heat generated by nearby components and limited ventilation. Compensation involves measuring the sensor temperature and environmental temperature with an external calibrated sensor, then correcting the sensor output by subtracting the heating effect. Relative humidity compensation requires calculating saturation vapor pressures at both measured and corrected temperatures, then adjusting the humidity reading accordingly. Equations and examples demonstrate how to apply these corrections to improve accuracy in environments where PCB heat influences sensor readings.
Application Notes & White Papers (2)
- End Of Life NoticePDF 748 KB Apr 15, 2025
- Product Change NoticePDF 368 KB Jul 26, 2023
- Product Change NoticePDF 99 KB Apr 13, 2022
Product Notices (PCN, EOL, etc) (3)
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