| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
EnOcean |
SENSOR HUMIDITY 5V 5% MODULE |
149 |
|
 |
Honeywell Sensing and Productivity Solutions |
SENS HUM/TMP 3.3V I2C 2% SMD 1=5 |
0 |
|
 |
Silicon Labs |
SENS HUMID/TEMP 3.6V I2C 4% 6DFN |
0 |
|
 |
Sensirion |
SENSOR HUMID/TEMP 5V I2C 3% SMD |
4093 |
|
 |
Texas Instruments |
LOW POWER HUMIDITY AND TEMPERATU |
0 |
|
 |
Thermometrics (Amphenol Advanced Sensors) |
SENSOR HUMI/TEMP 3.3V I2C 3% SMD |
100 |
|
 |
RLE Technologies |
SENSOR HUMIDITY 5-95% RH USER |
498 |
|
 |
Honeywell Sensing and Productivity Solutions |
SENSOR HUMIDITY 5V ANLG 3.5% SIP |
10 |
|
 |
Silicon Labs |
SENSOR RHT DGTL PWM AUTO 6DFN |
0 |
|
 |
Silicon Labs |
SENSOR RHT DGTL AUTO 6DFN |
0 |
|
 |
Silicon Labs |
SENS HUMI/TEMP 3.3V I2C 3% 24QFN |
0 |
|
 |
Honeywell Sensing and Productivity Solutions |
SENSOR HUMID/TMP 3.3V SPI 2% SMD |
0 |
|
 |
RLE Technologies |
SENSOR HUMIDITY 5-95% RH USER |
50 |
|
 |
Silicon Labs |
SENSOR RHT DGTL AUTO 6DFN |
0 |
|
 |
Silicon Labs |
SENS HUMI/TEMP 3.3V I2C 3% 24QFN |
39 |
|
 |
RLE Technologies |
SENSOR HUMIDITY 5-95% RH USER |
50 |
|
 |
Pimoroni |
AM2320 DIGITAL TEMPERATURE AND H |
124 |
|
 |
ScioSense |
I2C, QFN4, DIGITAL PRE-CALIBRATE |
17377 |
|
 |
Sensirion |
SENSOR HUMID/TEMP 5V DIGITAL MOD |
0 |
|
 |
Digital Six Laboratories, LLC |
H20 LEAK DET PUCK SENSOR 3FT CBL |
27 |
|
Humidity and moisture sensors are transducer devices that measure and report the water vapor content in air or the water content in materials. Humidity sensors quantify relative humidity (RH) or absolute humidity in g/m , while moisture sensors detect moisture levels in solids/liquids. These sensors play a critical role in industrial process control, environmental monitoring, agriculture, and smart home systems by ensuring product quality, optimizing energy efficiency, and maintaining safety standards.
| Type | Functional Features | Application Examples |
|---|---|---|
| Capacitive Humidity Sensors | Measure dielectric changes in polymer films, high accuracy ( 2% RH), fast response | Industrial HVAC systems |
| Resistive Humidity Sensors | Use ceramic materials with resistance variation, low cost, moderate accuracy | Consumer electronics |
| Optical Moisture Sensors | Non-contact measurement via near-infrared absorption, high precision | Food processing quality control |
| Dielectric Moisture Sensors | Measure permittivity changes in materials, suitable for solids | Agricultural soil monitoring |
| Thermal Conductivity Sensors | Compare thermal conductivity between dry/wet air, resistant to contaminants | Automotive defrost systems |
Typical sensor architecture includes: (1) Sensing element (polymer, ceramic, or optical material), (2) Electrode structure (interdigitated or parallel plates), (3) Signal conditioning circuitry (amplifiers, ADCs), (4) Protective enclosure (IP65-rated housing). Advanced designs integrate MEMS technology for miniaturization and on-chip calibration memory for improved accuracy.
| Parameter | Description | Importance |
|---|---|---|
| Measurement Range | 0-100% RH for humidity, 0-50% moisture content for solids | Determines application suitability |
| Accuracy | 1.5% to 5% depending on type | Quality control in critical processes |
| Response Time | 5-60 seconds for 90% step change | Real-time monitoring capability |
| Operating Temperature | -40 C to +125 C | Environmental durability |
| Long-term Stability | Drift <1% RH/year | Reduces calibration frequency |
| Manufacturer | Product Series | Key Specifications |
|---|---|---|
| Honeywell | HIH-5030 | 0-100% RH, 3.5% accuracy, 15ms response |
| Sensirion | SHT45 | I2C interface, 1.8% RH, -40 C to +125 C |
| TE Connectivity | HH10K | Low power consumption: 0.5 A standby |
| Vaisala | HMT333 | Industrial temperature range: -40 C to +180 C |
Key considerations: (1) Environmental conditions (temperature extremes, chemical exposure), (2) Required measurement range and accuracy, (3) Output signal type (analog/digital), (4) Long-term stability vs calibration frequency, (5) Cost constraints. For example, capacitive sensors suit general industrial monitoring, while optical sensors are preferred for food safety applications requiring non-contact measurement.
Emerging trends include: (1) Integration of wireless IoT connectivity (LoRaWAN, BLE), (2) Multi-sensor fusion with temperature/pressure compensation, (3) Development of self-calibrating MEMS-based sensors, (4) Adoption of AI algorithms for predictive maintenance. The market is projected to grow at CAGR of 6.2% through 2030, driven by smart agriculture and healthcare monitoring applications.
In precision agriculture: Dielectric soil moisture sensors (Decagon Devices EC-5) enable automated irrigation systems with 1% volumetric water content accuracy, reducing water usage by 30% in greenhouse tomato cultivation.