The dam break accidents of the tailings ponds occur from time to time, which has a serious threat to people's properties and lives. This paper uses the 3S technologies combined with conventional monitoring technology to build intuitive, real-time, and dynamic online monitoring network system for the observation, analysis, and early warning of the tailings ponds. When the monitoring data are abnormal, the system alarms to the personnel who manages the tailings pond by dual-mode method of sound and light. Meanwhile, the warning site is visually shown by the words and illustrations. The system provides a strong technical support for the safety supervision, accident prevention, and accident pre-control of the tailings ponds.