In order to improve the yield and quality of artificial breeding of Schizothorax prenanti, a monitor and control system is developed by using ZigBee network, 32-digt embedded controller and 3G network as the core, which consisted of sensor nodes, control nodes, routing nodes, gateway nodes and remote monitoring PC. The power supply for the system can be installed easily by using dry battery and storage battery. In order to reduce the energy consumption of the sensors, the sensor nodes control the power supply of the sensor circuit at the right moments. The control program designs fuzzy intelligent algorithm and transplanted it into the 32-digit embedded controller to achieve the intelligent control for all parameters in facility fishpond such as micro-flow, temperature, dissolved oxygen pH value and water level. The results show that the deviation of micro-flow is controlled within ±1.9 cm/s, the deviation of temperature within ±0.6 ℃, the deviation of dissolved oxygen within ±0.4 mg/L, the deviation of water level within ±2 cm, and the pH within ±0.3, which fully satisfies the practical breeding demands of Schizothorax prenanti.