Wall Thermometer for Indoor Use
Description:
1. High precision.
The sensor uses top suppliers. It can guarantee the high precision of the measurement data.
2. APP Remote monitoring and recording.
The sensor will report when the temperature and humidity. You can view the changes in the value on the APP or display screen.
Record the temperature and humidity changes on the APP, and use the graphics to show you.
3. Backlight Supported
The sensor has backlight, it makes you browser the screen clear at night.
4. Wide viewing angle
We have carefully designed the viewing range of the LCD screen, compared to other types of similar products, our viewing angle is wider.
5. Temperature Unit Switch
The sensor is designed with a temperature display conversion function of Celsius and Fahrenheit. You can choose the unit that needs to be displayed according to your needs.
6. Third-party voice support.
The sensor supports Amazon Alexa, Google Home Assistant. You can check the current temperature and humidity by voice.
APP Remote Monitor
After the configuration is completed, you can view the temperature and humidity on the screen and APP at the same time. And the APP can be effective anywhere in the world
Accurate Measurement
Within half an hour after the configuration is completed, our products start to be accurate.
Backlight Supported
When you touch the reset button once, the backlight will be triggered, and it will last for about 10 seconds.
Low Battery Automatic Reminder
When the battery power is low, it will push an alarm message via the app, reminding you to change the battery.
Product Parameters:
Power supply: Battery LR03-1.5V/AAA*3 (not included)
Backlight: Supported
Wireless Type: WiFi 2.4GHz IEEE 802.11 b/g/n
Temperature Measure Range: -9.9℃-60℃
Temperature Accuracy: ± 1
Humidity Measure Range: 0% RH~99% RH
Humidity Accuracy: ±5% RH
Technical details
About Update Frequency
1. The sensor uses a trigger mechanism. When the temperature or humidity changes to the set value, the sensor will report the data immediately. Generally, the data is updated once an hour.
2. The sensor cannot set the update report data frequency.
3. The sensor cannot set alarm. The alarm function is set on the APP.
If you need to update data in real time, please purchase a USB powered version (TH06/TH16).
About Proper Selection and Use of Batteries
1. Only LR03-1.5V alkaline battery can be used (1.2V rechargeable battery may cause the equipment to detect wrong voltage and report low voltage)
2. Batteries of different models or brands cannot be mixed.
4. New and old batteries cannot be mixed.
5. It is prohibited to use inferior batteries.
Otherwise: 1. Configuration fails? 2. Battery consumption is too fast.
How to obtain high-quality battery? Please buy in a regular supermarket or chain supermarket.
Note: After the device configuration is completed, it needs to be placed in a position where the wireless signal is good, otherwise the device signal power will become larger, which will lead to excessive battery consumption.
About Network Testing
Devices using the network consume a lot of power. To ensure the service life of the battery, the device will stop using the network when it does not need to report data
Therefore, it is meaningless to test the network signal of sensors in APP.
Error on temperature and humidity
1. All temperature and humidity sensors will have certain errors, please note. The temperature error of this sensor is ± 1 ℃, and the humidity error is ± 5% RH. Any value within this range is normal.
2. The sensor error and manufacturing process will meet, and there will also be some errors between products of the same model.
3. According to Newton’s third law, heat conduction takes a certain time. The sensor needs 30 minutes or 1 hour to be consistent with the room temperature, and the measurement will be accurate.
Historical curve of temperature and humidity
1. The minimum granularity of historical data (daily chart) is 1 hour, and the minimum granularity of exported data is also 1 hour.
2. Days of historical data are stored for 7 days.
3. The value of historical data is the average value. That is, the average value of a minimum granularity time.
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