With the continuous expansion of the mining scale of mineral resources, many tailings are produced. In order to avoid the impact of harmful substances in the tailings on the residents around the tailings pond, it is necessary to explain the stability improvement. The dam safety monitoring system is mainly composed of observation sensors, telemetry data acquisition module, industrial control network, and automatic monitoring system. Through the work of the computer, the dam observation data can be automatically collected, processed, analyzed, and calculated. This paper adopts the automated system that makes preliminary judgments and graded alarms on whether the dam’s behavior is normal or not to provide early safety warning reports for monitoring objects. In this paper, combined with a specific example of a tailings reservoir dam body, the comprehensive uncertainty method is used to analyze factors such as the height of the tailings dam, the height of the wetting line, the cohesion of the tailings soil layer, and the internal friction angle, and the stability of the dam body is calculated. The results show that the sensitivity order of the dam stability safety factor
K
to each factor is as follows: internal friction angle of the
tailing
silt
layer
>
the
height
of the
wetting
line
>
dam
body
height
>
the
cohesion
of the tailing silt layer. The most dangerous slip surface will jump at the 19-level subdam of the tailings pond. The remediation measures are of great significance for maintaining the ecology around the tailings pond and ensuring the personal safety of residents.