Buoy water quality monitoring station: real-time guarantee of water safety

1、 Product Introduction

1. The SFA water quality float monitoring station is an unmanned collection system that integrates data collection, storage, transmission, and management. It is a hydrological automatic monitoring and reporting system aimed at industrial and agricultural production, tourism, urban environmental monitoring, geological disasters, flood control, water supply scheduling, power station and reservoir water management, etc; The powerful upper computer software can remotely observe real-time water and rain information, with functions such as database, report, and download. Users can also use the comprehensive meteorological software to further process and analyze the recorded data.

The SFA04 buoy consists of six parts: water quality sensor (water temperature, conductivity, pH, dissolved oxygen), data acquisition instrument, communication system, power supply system, overall bracket, and water quality monitoring platform. At the same time, it can expand multiple water quality factors such as ammonia nitrogen, turbidity, COD, etc. The data acquisition device has functions such as data acquisition, real-time clock, timed data storage, parameter setting, and standard 2G/4G (GPRS) communication.

2、 Product Features

1. Easy to deploy: Various types of probes are highly integrated and easy to install; Provide free cloud platform services and quickly launch the system;

2. Easy to maintain: After installation, the equipment can work on its own without the need for manual monitoring, and can also be ensured to operate normally through remote monitoring;

3. Easy to expand: The sensor probes all use a unified communication protocol, which can quickly interface with the original equipment and expand monitoring parameters quickly;

4. Low power consumption: The device can operate for a long time in a low-power state, increasing the convenience of device use;

5. Real time performance: The data monitored by the device is transmitted in real-time to the cloud platform, improving the timeliness of environmental data feedback.