Method of diagnosing fault of thickener during hydrometallurgy process

Abstract

The invention provides a method of diagnosing a fault of a thickener during a hydrometallurgy process. The method comprises steps that on-line qualitative information and on-line quantitative data of a hydrometallurgy thickener used for identifying the fault are acquired; by aiming at the on-line qualitative information, credibility of every event is acquired by adopting a rule-based reasoning method based on credibility, and a piece of first evidence is acquired; by aiming at the on-line quantitative data, similarity of a to-be-diagnosed case is acquired by adopting a case-based reasoning method based on data similarity, and a piece of second evidence is acquired; the to-be-diagnosed case is different types of data constituted by the on-line qualitative data during the case-based reasoning; the above mentioned two pieces of evidence are integrated together according to a D-S evidence theory integration rule, and then the fault diagnosis information of the thickener during the hydrometallurgy process is acquired. The method is advantageous in that timely adjustment of operators can be carried out according to a fault diagnosis result, and therefore an accident rate is effectively reduced, and production safety performance is improved.

Description

technical field [0001] The invention belongs to hydrometallurgy technology, in particular to a fault diagnosis method for a thickener in the hydrometallurgy process. Background technique [0002] With the development of our country's industrialization process, the problem of resources has become one of the main problems restricting our country's development. As the main source of industrial raw materials, mineral resources play a fundamental role in economic and social development. Due to the extensive utilization and massive consumption of mineral resources, my country is facing a serious shortage of mineral resources. The reserves of high-grade mineral resources are decreasing day by day, and the situation is very grim. my country is rich in reserves of low-grade mineral resources. Extracting mineral resources from poor, fine and miscellaneous ores has become an inevitable trend in future development. How to use low-grade mineral resources economically and efficiently is ...

AI Technical Summary

Problems solved by technology

The dense washing process is complicated in technology, harsh in the production environment, and has the characteristics of large inertia, large time lag, and many influencing factors. In addition to the influence of human subjective factors, it is difficult to achieve accurate fault diagnosis

In the actual process, many variables change in real time and have great randomness and frequent changes, which makes it more difficult to realize the fault diagnosis of the dense washing process

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