Tailing pond spillway well monitoring method based on multi-sensor fusion

Abstract

The invention relates to a tailing pond spillway well monitoring method based on multi-sensor fusion. The method comprises the following steps of firstly, monitoring a tailing pond spillway well through a plurality of monitoring devices, transmitting monitored data to a computer in real time, carrying out fusion calculation on all the monitored data by the computer, specifically, setting different weight values for all detection indexes, performing weighted calculation on the states of all the monitoring indexes according to different weight values, and obtaining a final safety coefficient of a safe operation state of the spillway well; and finally, dividing the obtained final safety coefficient into a low risk, a medium risk and a high risk according to different intervals and the operation state, and making different early warning prompts and processing according to different levels of conditions. The monitoring method is optimized, fusion analysis is carried out on data transmitted by multiple sensors, and early warning is carried out according to the obtained parameters for evaluating the operation state of the spillway well, so that a more comprehensive and accurate result is obtained under various conditions in monitoring of the spillway well, and safe operation of a tailing pond is ensured.

Description

technical field [0001] The invention relates to the technical field of monitoring the safe operation of spillway wells of tailings ponds, in particular to a method for monitoring spillway wells of tailings ponds with fusion of multiple sensors. Background technique [0002] In order to prevent and reduce production safety accidents of tailings ponds and ensure the safety of people's lives and property, strict safety management and supervision are required for the construction, operation, mining and closure of tailings ponds. The tailings pond online monitoring system is a monitoring technology that uses modern electronics, information, communication and computer technology to realize real-time, automatic, continuous collection, transmission, management and analysis of tailings pond monitoring index data. At present, the system judges the current operating status of the tailings pond through real-time monitoring of dry beach, displacement, infiltration line, rainfall and othe...

AI Technical Summary

Problems solved by technology

Although these methods can monitor the operating status of the spillway well to a certain extent, there are still some shortcomings in the following aspects: the installation of a large number of monitoring equipment will damage the spillway well; Damage; the monitoring data is still not comprehensive enough to make accurate real-time predictions; it is difficult to debug the equipment, and there is a certain risk in the installation process

Images