A highly reliable mineral processing equipment fault diagnosis system and method based on industrial cloud

Abstract

A highly reliable mineral processing equipment fault diagnosis system and method based on industrial cloud, belonging to the field of fault diagnosis technology; the system mainly includes: a local intelligent module and a cloud intelligent module in a local server, a model establishment and management module in the cloud server and Fault diagnosis module and local monitoring center; the method includes: the model establishment and management module optimizes the fault diagnosis model of the industrial cloud server and the local intelligent module or establishes a fault diagnosis model; the local intelligent module uses the local fault diagnosis model to calculate local diagnosis results, and the fault diagnosis The module uses the optimal fault diagnosis model to calculate cloud diagnosis results; the local monitoring center displays the diagnosis results; in the present invention, the cloud server establishes and evaluates fault diagnosis models based on different mineral processing plant data, thereby improving the fault diagnosis rate; using the cloud server to improve fault diagnosis efficiency; The model is reduced to ensure local diagnosis efficiency; when the cloud diagnosis service is interrupted, local diagnosis services can be provided to ensure diagnosis reliability.

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

Images