Tailing pond layered index safety assessment and early-warning method and system

Abstract

The invention discloses a tailing pond layered index safety assessment and early-warning method and system. The method comprises the steps that a three-level safety index system is built, wherein the three-level safety index system comprises four second-level indexes which are the stockpiling system, a drainage system, a risk system and a management system and fifteen three-level indexes which are the pond water level, the rainfall capacity and the like; a tailing pond safety assessment model is built, and the safety index system is utilized for assessing the overall safety state of a tailing pond; a tailing pond safety early-warning model is built, and early-warning judgment is carried out; the safety early-warning model comprehensively figures out a dynamic change curve of the future pond water level in the flood season by means of data collected in real time and weather forecast information transmitted by the network, the data collected in real time and measured by the safety assessment model to carry out comprehensive safety assessment and evaluation on the tailing pond, dangerous trend classification is carried out according to assessment, then the classification information is put into a pond water level-dam break model, the dam break risk is comprehensively calculated according to the classification information and a predicted pond water level value, and early-warning judgment is carried out according to the risk. The early-warning effect is accurate, reasonable and comprehensive.

Description

technical field [0001] The invention relates to the field of safety system engineering, in particular to a method and system for safety evaluation and early warning of layered indicators of tailing ponds. Background technique [0002] As a place to store metal or non-metal mine industrial waste residues, it is a necessary facility to maintain the normal production of metal mines. Tailings ponds are a major source of danger for man-made debris flows with high potential energy. Once a dam breaks, it will endanger the lives and property safety of downstream residents and The environment poses a serious threat. In recent years, with the rapid development of industry, the number of tailings ponds at home and abroad has increased dramatically. With the frequent occurrence of dam failure accidents, the safety assessment and early warning of tailings ponds is an urgent problem to be solved. [0003] At present, there is no unified standard and specification for the method and syste...

AI Technical Summary

Problems solved by technology

The traditional method of using a single indicator or a few indicators and comparing the actual detection data with the threshold value is an evaluation of a single indicator, which does not take into account the importance of each indicator on the overall safety of the tailings pond, and also ignores it. Therefore, sometimes the evaluation results based on various indicators are contradictory, difficult to choose, or cause serious discrepancies with the actual situation, and unnecessary alarms occur, which has great limitations. sex and one-sidedness

[0005] The mechanical state inside the tailings pond is very complex, and simple statistical analysis cannot evaluate and predict all situations well, and false alarms often occur

The traditional tailings pool assessment method has expert scoring method, but its theoretical and systematic nature is not strong, and it is difficult to guarantee the objectivity and accuracy of the evaluation results under normal circumstances

The disadvantage of the fuzzy comprehensive evaluation method is that it cannot solve the problem of information redundancy caused by the strong correlation between evaluation indicators. Moreover, there is no systematic method for determining the membership function, and the synthetic algorithm needs further research.

Analytic Hierarchy Process is especially suitable for situations where the object structure is complex and lacks original data, but the subjective judgment of people in the evaluation process is too large, and the determination of the weight of each factor has a certain degree of subjectivity

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