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Grove - Temperature Sensor

SKU C000179 Barcode 101020015 Show more
Original price €0
Original price €3,15 - Original price €3,15
Original price
Current price €3,15
€3,15 - €3,15
Current price €3,15
VAT included

The Grove - Temperature Sensor uses a Thermistor to detect the ambient temperature.

Overview

The resistance of a thermistor will increase when the ambient temperature decreases. It’s this characteristic that we use to calculate the ambient temperature. The detectable range of this sensor is -40 - 125ºC, and the accuracy is ±1.5ºC


Tech specs

  • Voltage: 3.3 ~ 5V
  • Zero power resistance: 100 KΩ
  • Resistance Tolerance: ±1%
  • Operating temperature range: -40 ~ +125 ℃
  • Nominal B-Constant: 4250 ~ 4299K

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BLOG
Small, MKR WAN 1310-powered device monitors CO2 levels in classrooms
Small, MKR WAN 1310-powered device monitors CO2 levels in classrooms
February 17, 2023

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.

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