The problem of event-triggered fixed-time consistency based on event triggering was studied for multi-agent systems with unknown disturbances and nonlinear dynamics. Based on the traditional static event-triggered strategy， a fixed-time consensus protocol based on dynamic event-triggered strategy was proposed by introducing an adjustable dynamic variable. A dynamic event-triggered function based on state information and dynamic variables was given for each agent， and the event was triggered only when the measurement error of each agent satisfied the given triggering function. The introduced dynamic variables were adjustable threshold parameters that could further reduce the number of event triggers and use the limited resources of the system more efficiently. By using graph theory， fixed-time consensus theory and Lyapunov stability theory， the conditions that the parameters in the consensus protocol and trigger functions needed to satisfy when the system reaching fixed-time consensus were obtained， meanwhile Zeno behavior was shown not to exist. Finally， the numerical simulation results were applied to verify the correctness and validity of the theoretical analysis.