In order to simulate the natural growing environment of Schizothorax prenanti as well as come up with an intelligent facilities fishpond design, the fishponds achieved micro flow effect and intelligent monitoring of water quality parameters by taking use of concrete structure, combined with water pipe, water pump, solenoid valve, water quality parameters detection sensor and ZigBee network. Based on 32 bit embedded MCU and WinCE 6.0 embedded operating system, PDA form gateway nodes were designed. By transplanting embedded SQlite database on gateway nodes, ZigBee network site management was achieved. Control instruction was obtained through analyzing data with fuzzy neural network method, and then closed loop control was achieved. Further experimental tests showed that average packets loss rate of ZigBee network was 0.52%, micro flow deviation was within the range of ±1.8cm/s, temperature deviation was within the range of ±0.5℃, dissolved oxygen deviation was within the range of ±0.4mg/L, pH value deviation was within the range of ±0.3. The water quality parameters completely meet the requirements of Schizothorax prenanti breeding environment; therefore network monitoring could be applied to breeding factories with different scales.