In recent years, with the continuous development of resilient PNT and integrated PNT, the elastic fusion mechanism of multi-source sensors has attracted wide attention. Aiming at the problem that the measurement accuracy and reliability of visual sensors in multi-source integrated navigation are greatly affected by the environment, and the degree of influence on the accuracy is difficult to be evaluated independently. The evaluation factors of the pose calculation quality of monocular visual odometry were analyzed to reflect the measurement quality of visual sensors in multi-source sensor fusion system. A precision attenuation factor Visual-DOP based on the influence of the configuration of the reaction space point on the pose recovery accuracy of the camera was proposed. Further, the pose calculation quality evaluation algorithm of monocular visual odometry was designed, and it was verified on the visual odometry authoritative data set KITTI. The connection between each evaluation factor and the positioning accuracy was decoupled by the method of control variables. The results indicate that the pose calculation quality evaluation factors can correctly reflect the influence of visual measurement quality on the navigation accuracy of monocular visual odometer.