Online safety monitoring system of tailings pond

Abstract

The invention discloses an online safety monitoring system of a tailings pond. The system comprises a deformation monitoring sensor group, a video data acquisition module, a monitoring point internal stress acquisition module, a video data processing module, a central processor, a prediction and analysis module, an expert evaluation module, a physical model construction module, a virtual actuator, a virtual sensor and a simulation analysis module. According to the invention, the a circuit is cut off, emergent transmission of data can be performed through the Beidou short message communication technology, so the system is convenient to use; all-around real-time detection can be performed on the conditions of the tailings pond so that various kinds of evaluation results of the conditions of the tailings pond are obtained; the detection results are high in precision, and by constructing a tailings pond physical model, prediction and simulation analysis are performed on following situations of the tailings pond, and problems occurring in the tailings pond can be timely found; and all kinds of tailings pond management schemes can be converted into parameters to be used for the constructed tailings pond physical model, so proper selection of a management scheme of the tailings pond is achieved.

Description

technical field [0001] The invention relates to a tailings pond monitoring system, in particular to an online safety monitoring system for a tailings pond. Background technique [0002] At present, in the safety management of tailings ponds in domestic mining enterprises, in terms of data collection related to the safety of the reservoir area, manual inspections and manual equipment are carried to the site to measure relevant data, and then the staff manually sorts out and generates reports for future use. Analysis, management, and decision-making applications. This method has a long data collection period, and the accuracy of manual observations is entirely dependent on the work experience of the observers. Data reading is greatly affected by weather changes, and additional measurements required during special periods will greatly increase the workload. At the same time, the credibility of the observation data is greatly reduced, and it cannot reflect the actual situation i...

AI Technical Summary

Problems solved by technology

[0002] At present, the safety management of tailings ponds of domestic mining enterprises, in terms of data collection related to the safety of the reservoir area, is to adopt manual inspections and manually carry instruments and equipment to the site to measure relevant data, and then the staff manually sorts out and generates reports for future use. Analysis, management, and decision-making applications. This method has a long data collection cycle, and the accuracy of manual observations is entirely dependent on the work experience of the observers. Data reading is greatly affected by weather changes, and additional measurements required during special periods will greatly increase the workload. At the same time, the credibility of the observation data is greatly reduced, and it cannot reflect the actual situation in real time and truly.

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