Overview
Grove-Temperature & Humidity Sensor Pro is a high accuracy temperature and humidity sensor based on the DHT22 module (also known as AM2302 or RHT03). High-cost performance and high precision make it ideal for temperature and humidity monitoring of Arduino and Raspberry Pi, you can also use it to make a thermometer and hygrometer.
The DHT22 includes a capacitive humidity sensor and a high precision temperature sensor. The range of humidity sensor is 0 to 99.9 %RH with ±2% accuracy while the temperature sensor ranges from -40 to 80℃ with ±0.5℃ accuracy. With the help of a built-in 8-bit microcontroller, the DHT22 converts the analog output of those two sensors to the digital signal, and output both temperature and humidity data via a single pin.
Compared with the DHT11, this product has higher precision and wider measurement range, but the usage and code are almost the same. Simply put, if you need higher measurement accuracy, this product will be a better choice.
Tech specs
|
Item |
Min |
Norm |
Max |
Unit |
|
VCC |
3.3 |
- |
6 |
V |
|
Measuring Current Supply |
1 |
- |
1.5 |
mA |
|
Standby Current Supply |
40 |
- |
50 |
uA |
|
Measuring range (Humidity) |
5% |
- |
99% |
RH |
|
Measuring range (Temperature) |
-40 |
- |
80 |
°C |
|
Accuracy(Humidity) |
- |
- |
±2% |
RH |
|
Accuracy (Temperature) |
- |
- |
±0.5 |
°C |
|
Resolution (Humidity) |
- |
- |
0.1% |
RH |
|
Resolution (Temperature) |
- |
- |
0.1 |
°C |
|
Repeatability(Humidity) |
- |
- |
±0.3% |
RH |
|
Repeatability (Temperature) |
- |
- |
±0.2 |
°C |
|
Long-term Stability |
- |
- |
±0.5% |
RH/year |
|
Signal Collecting Period |
- |
2 |
- |
S |
|
Respond Time 1/e(63%) |
6 |
- |
20 |
S |
Get Inspired
Just a simple and enjoyable autonomous greenhouse
Humans are animals and like all animals, we evolved in mostly outdoor conditions where the air is nice and fresh. But modern society keeps most of us indoors the vast majority of the time, which could have negative health effects. There are many potential hazards, including a lack of sunlight and psychological effects, but CO2 may pose a more tangible risk. To keep tabs on that risk within classrooms, a team from Polytech Sorbonne built this small CO2 monitor. This CO2 monitor performs two functions: it shows anyone nearby the CO2 levels in the area and it uploads that data over LoRaWAN to a central hub that can track the levels across many locations. A school could, for example, put one of these CO2 monitors in every classroom. An administrator could then see the CO2 levels in every room in real time, along with historical records. That would alert them to immediate dangers and to long term trends. At the heart of this CO2 monitor is an Arduino MKR WAN 1310 development board, which has built-in LoRa® connectivity. It uses a Seeed Studio Grove CO2, temperature, and humidity sensor to monitor local conditions. To keep power consumption to a minimum, the data displays on an e-ink screen and an Adafruit TPL5110 timer only wakes the device up every ten minutes for an update. Power comes from a lithium-ion battery pack, with a DFRobot solar charger topping up the juice. It uploads data through The Things Network to a PlatformIO web interface. An Edge Impulse machine learning model detects anomalies, so it can sound a warning even if nobody is watching. The enclosure is 3D-printable.
