Aquaculture Internet of Things

Aquatic breeding information perception

Water quality is a key factor affecting the quality of aquatic products. Traditional water quality sensors are mostly designed according to electrochemical principles. They are affected by external factors such as water flow rate, temperature, and pressure. There are certain errors in the measurement value. In addition, its correction method is too cumbersome, and there are problems such as short life and small applicable range.

With the advancement of technology, intelligent sensors with self -calibration and self -recognition functions are realized. The smart sensor does not require manual intervention, which can automatically collect data and prepare it;

At the same time, it also has a variety of functions such as standardized digital output and two -way communication with the upper machine. In response to the requirements of intensive breeding on water quality, smart water sensors can monitor the same indicators such as temperature, turbidity, dissolving oxygen, conductivity and pH.

Aquaculture Internet of Things

The precise breeding model of efficient ecological intelligence is an important development direction for the future of the aquaculture industry.

At present, the application of aquaculture Internet of Things technology is still restricted by sensor technology. In recent years, NIUBOL has actively carried out research on water quality sensor technology and research on aquaculture and control models, which has promoted the intelligent transformation of the aquaculture industry.

At the same time, it has also carried out a dynamic monitoring research on aquaculture environment monitoring based on automatic cruise driverless driving technology and underwater robots independent line patrol technology to achieve real -time monitoring of water temperature, dissolving oxygen, pH, and oxidation and reduction capabilities, as well as fish and shrimp physiological information Real -time fixed -point acquisition.