Highly-reliable beneficiation equipment fault diagnosis system and method based on industrial cloud

Abstract

The system comprises a highly-reliable beneficiation equipment fault diagnosis system and a highly-reliable beneficiation equipment fault diagnosis method based on industrial cloud, belonging to the technical field of fault diagnosis. The beneficiation equipment fault diagnosis system mainly comprises a local intelligent module and a cloud intelligent module in a local server, a model establishment and management module and a fault diagnosis module in a cloud server, and a local monitoring center. The beneficiation equipment fault diagnosis method comprises the steps the: the model establishment and management module optimizes fault diagnosis models of or establishes fault diagnosis models for the industrial cloud server and the local intelligent module; the local intelligent module calculates a local diagnosis result by means of the local fault diagnosis model, and the fault diagnosis module calculates a cloud diagnosis result by means of an optimal local fault diagnosis model; and the local monitoring center displays the diagnosis results. The cloud server in the highly-reliable beneficiation equipment fault diagnosis system establishes and evaluates the fault diagnosis models according to data of different beneficiation plants, and improves the fault diagnosis rate; the fault diagnosis efficiency is improved by using the cloud server; the models are reduced, and the local diagnosis efficiency is ensured; and the local diagnosis service can be offered when the cloud diagnosis service is interrupted, and the diagnosis reliability is ensured.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis, and in particular relates to an industrial cloud-based highly reliable fault diagnosis system and method for mineral processing equipment. Background technique [0002] Mineral dressing production is a typical process industry, and the characteristic of process industry is that the production line needs to run all the time. Once an abnormal shutdown or serious failure occurs in a certain equipment of the production line, it will have a serious impact on the subsequent production process. In the cost of mineral processing enterprises, maintenance costs account for a large proportion. In order to ensure the safe and stable operation of mineral processing plant equipment, it is necessary to propose a system and method to improve the reliability of mineral processing equipment fault diagnosis, so that it can conduct online diagnosis of mineral processing equipment, evaluate its operating sta...

AI Technical Summary

Problems solved by technology

However, there are still many deficiencies in the existing equipment fault diagnosis methods: 1. The cloud server is only used to receive and transmit real-time data, and does not involve collecting the equipment operating status data of the same type of equipment from different factories on the cloud server and establishing and continuously optimizing faults. 2. No local device fault diagnosis is provided, and fault diagnosis cannot be performed when there is a communication failure between the wireless gateway and the cloud server, resulting in the failure of the diagnostic system

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