To enable long-term real-time monitoring of the water environment during the outbreak of Enteromorpha, a drifting unmanned vessel equipped with a multifarious online water quality parameter monitoring system has been selected. Monitor changes in water quality in the area affected by Enteromorpha through real-time detection and analysis of water quality data. A pump valve is used to draw seawater into a storage tank for water sample collection, followed by detection and analysis. Because the unmanned ship needs to move in real-time during monitoring, the injection valve is fast, and impurities such as bubbles and sediment will affect the measurement of optical probes. Therefore, the water samples in the storage tank need to be quickly stabilized to minimize impact. So, this paper proposes a rapid stabilization method for water sample injection based on PSO (Particle-Swarm-Optimization) fuzzy PID(Proportional-Integral-Derivative) control. The model is built and simulated to compare the conventional PID control and the PSO fuzzy PID control algorithms. The simulation results show that the conventional PID algorithm takes 58.201 s for the water sample to reach a steady state with a stable height of 17.7 cm. In contrast, the PSO fuzzy PID algorithm achieves a steady state in 8.17 s, with a stable height of 17.96 cm. Compared with the response curves of the two, the overshoot of the PSO fuzzy PID control system is smaller, and the adjustment time is shortened by 86.01%. Reached the rapid stability of the water sample. Ensure the timeliness and reliability of the moving measurement process data.