Online monitoring and fault diagnosis system of mine fan

Abstract

The invention provides a remote real-time monitoring and fault diagnosis system of a mine fan based on an LabVIEW platform. The system comprises hardware of an industrial control computer, a terminal board, a PCI data acquiring card, signal conditioning equipment and a vibration speed sensor, and comprises software of a data acquiring module, a data memory and management module, a data display module, a history inquiring module, a fault diagnosis module and a network distribution module. The system realizes real-time acquisition of fan vibration signals, dynamic monitoring of equipment operation states, the setting, display and warning prompt of equipment operation normal values, warning values and stop range values and the storage and inquiry of such related data as various fault data and diagnosis results, and adopts an analytic hierarchy process algorithm to obtain various fault generation probabilities. A wire communication network is built; and the remote real-time monitoring and diagnosis is realized by using a share variable technology. The system can improve the big data processing capacity, and realizes the local and remote monitoring and fuzzy fault diagnosis of the fan operation states.

Description

technical field [0001] The invention relates to an online monitoring and fault diagnosis system for a mine fan. Background technique [0002] The mine fan is used to deliver fresh air to the underground, and take away harmful and toxic gases and dust from the underground, so as to ensure the smooth progress of underground work and the personal safety of the staff. According to statistics, more than 70% of coal mine accidents are caused by failure of ventilation equipment, poor ventilation, poor ventilation management, etc., and the occurrence of coal mine accidents will not only bring economic losses to enterprises, but also endanger the lives of staff in severe cases security, and have adverse social impacts. At present, the maintenance mode of mining equipment mostly adopts the traditional regular maintenance, that is, the maintenance of the machine is carried out on a periodic basis. When the specified time is reached, all machines must be disassembled for maintenance re...

AI Technical Summary

Problems solved by technology

This kind of maintenance method will not only cause overmaintenance, reduce the utilization rate of equipment, and affect economic benefits, but "sick" operation is likely to cause major accidents

In addition, regular maintenance will increase the overall failure rate of the equipment. There are many cases showing that the equipment that was originally stable is more prone to failure after maintenance. This is because the system itself is in a stable state before maintenance, but after maintenance, disassembly and reassembly When the installation accuracy has not reached the original requirements

In addition, the current diagnosis usually gives a unique diagnostic conclusion based on a certain diagnostic method, ignoring the possibility of multiple faults, resulting in a single and absolute diagnostic result

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