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Contact us
Shandong Fengtu IOT Technology Co., Ltd
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China
Smart Weather Station
Model:KAN-WS01
Brand:fengtu
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1.Smart Weather Station Product Introduction
Smart Weather Station can monitor meteorological elements in real time, integrating a variety of commonly used meteorological measurement elements such as temperature, humidity, air pressure, wind speed, etc.In traditional weather forecasts, most of the data is broad, vague, and delayed. Smart Weather Station can accurately monitor local weather at any time, predict local weather changes in real time, and unveil the mystery of precise weather.
2. Smart Weather Station Product Features
Update frequency in seconds, instant weather control
Camp weather forecast, outdoor weather protection
Avant-garde, compact and portable, high-value and powerful performance
Weather-resistant and durable, IP56 alloy housing
Mobile phone interactive experience, APP social sharing
3. Smart Weather Station Technical Specifications
temperature | -20-50℃ |
humidity | 0-100% |
Air pressure | 300-1100hpa |
Wind speed | 0-40m/s |
weight | 195g (host) |
size | Diameter 52mm, height 149mm |
Display method | LCD |
Protection level | IP56 |
Operating temperature | -20-50℃ |
Fixed interface | 1/4"-20 thread |
Implementation Standards | Q/KT006-2022 |
Charging port | Type-C |
Charging specifications | 5V-1A |
Battery life | About 7 days |
4. Smart Weather Station accurate forecast
The user's position is located in three dimensions through longitude, latitude and altitude. The intelligent algorithm comprehensively processes the meteorological data collected on the hardware side and the public network data on the background cloud to achieve customized forecasts of local microclimates, helping users to accurately control the weather in the camp.
It can realize 2-hour minute-level precipitation forecast and 24-hour weather trend forecast, grasp future local weather information in advance, and effectively avoid travel risks.
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