The advantages of automatic meteorological observation equipment are

With the development of society and the improvement of people's awareness of environmental protection, the traditional artificial meteorological observation method can no longer meet the needs, so the automatic meteorological observation equipment has become the main tool to achieve the meteorological elements data collection, which is based on the Internet of Things sensor technology manufacturing, to achieve the goal of unattended, automatic observation, which is widely used in industrial and agricultural production.

Fengtu is the source of automatic meteorological observation equipment manufacturers, the company since its establishment, has been focusing on the management of meteorological environmental monitoring equipment, has launched a number of automatic meteorological observation equipment. Its significant advantage is that --

1. Automatic observation, in the case of guaranteed power supply, can work tirelessly 24 hours a day, very dedicated;

2. Adopt modular structure, modules do not interfere with each other, do not interfere with each other, make the whole system structure more compact and reasonable;

4. The product can be customized according to the needs of users, easy to upgrade and expand, but also to provide good after-sales service, reduce maintenance costs, simplify installation and maintenance steps;

5. Product operation is simple, easy to maintain and manage;

6. Has high stability and reliability, can well meet the needs of users;

7. Through network transmission, the data is transmitted to the remote monitoring center to facilitate real-time understanding of the meteorological conditions of each station and make timely strategic adjustments accordingly, so as to play a role in scientific guidance;

8. The system is stable and reliable, and all functions can be completed without frequent changes in configuration information, which greatly facilitates the staff;

9. Real-time observation of air temperature, air humidity, atmospheric pressure, wind speed, wind direction, carbon dioxide, light radiation, optical rainfall, soil PH, soil temperature and humidity, soil conductivity, PM2.5, PM10 and other data.