Geophysical flows exhibit unique fluidity and rheological characteristics, with boundary interactions playing a crucial role in understanding granular flow mechanics and vibration monitoring. In this study, we conducted laboratory experiments to investigate the dynamic behavior and vibration characteristics of granular flow utilizing particle image velocimetry analysis, as well as basal three-component force and acceleration measurements. The results reveal that as the inertia number increases, the experimental flow transitions from a quasi-steady state to micro-acceleration, leading to intensified inter-particle collisions. Significant temporal synchronicity is observed in the envelope curves of stress fluctuations and seismic signals, highlighting their inherent interrelationships. Utilizing the diffusion method, we calculated seismic energy, which exhibits a strong positive correlation with normalized stress variations, with a power exponent of approximately 1.5. Additionally, the positive correlation between the inertia number and seismic energy emphasizes that stress fluctuations caused by particle collisions induce seismic behavior. These findings offer valuable insights into the dynamic evolution of stress fluctuations and seismic energy under flow conditions, enhancing our understanding of earthquake monitoring, stress feedback mechanisms, and the seismic signals generated by geophysical flows such as rock avalanches. Significant synchronization was observed in the time envelope curves of stress fluctuations and seismic signals.A positive correlation was found between the inertia number, normalized stress fluctuations, and seismic energy.A power-law relationship was identified between normalized stress fluctuations and seismic energy.