Internet-of-things and cloud computing based intelligent monitoring and fault diagnosis system for mine ventilators

Abstract

The invention discloses an internet-of-things and cloud computing based intelligent monitoring and fault diagnosis system for mine ventilators. An operating process of the system includes the steps of 1, establishing a ventilator monitoring and fault diagnosis system for each ventilator; 2, integrating all ventilator monitoring and fault diagnosis systems in a mine and a ventilation safety monitoring system to establish mine ventilator air network monitoring systems, through an internet-of-things technology; 3, integrating the mine ventilator air network monitoring systems to establish a group-level ventilator air network monitoring system, through the internet-of-things technology; 4, integrating ventilator users, ventilator manufacturers and ventilator air network fault diagnosis experts in a work environment through a cloud computing platform, improving functions of the ventilator monitoring and fault diagnosis systems to multi-ventilator intelligent control so as to achieve air network intelligent optimization and ventilator fault auxiliary diagnosis. The system has the advantages that a ventilation system is more efficient and reliable, safety production of the mine is guaranteed, an air network is efficient and stable, energy is saved, and consumption is reduced.

Description

technical field [0001] The present invention relates to Internet of Things technology, cloud computing technology, sensing technology, signal processing technology and automatic control technology, ventilation network solution, in particular to mine ventilator intelligent monitoring and fault diagnosis system based on Internet of Things and cloud computing. Background technique [0002] The research on the ventilator on-line monitoring system in foreign countries started earlier, the technology is relatively mature, and the reliability of the system is high. Typical representatives are the French HDR280-69 movable blade adjustable axial flow fan, the online monitoring system matched with the German mine axial flow fan and the Danish Howden Variax axial flow fan. [0003] Domestic research on the online monitoring system of ventilators started in the 1990s. First, some coal mines imported equipment from abroad, and gradually developed through digestion, absorption and combina...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an intelligent monitoring and fault diagnosis system for mine ventilators based on the Internet of Things and cloud computing to solve the problems of decentralized monitoring of fans and wind networks, matching of fans and wind networks, optimization of ventilation networks, and difficulties in fan fault diagnosis , use cloud computing technology to connect fan users, manufacturers, fan fault diagnosis experts, and ventilation network experts on the same platform, improve the efficiency and reliability of the mine ventilation system, ensure safe production in mines, ensure efficient and stable operation of the wind network, and achieve energy saving Consumption reduction

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