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Rolling mill equipment status online monitoring and diagnosis system and monitoring and diagnosis method

A technology of equipment status and diagnosis system, applied in the field of monitoring systems, to achieve the effect of improving the control accuracy of traceability, rolling stability and product quality indicators, and improving the time span

Active Publication Date: 2021-08-17
科大集智数据科技(武汉)有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the above-mentioned patents only involve the monitoring and fault diagnosis of mechanical equipment vibration signals. For the state monitoring and fault diagnosis of equipment electrical signals, especially the online monitoring and diagnosis of rolling mill equipment status, there are almost no related patents.

Method used

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  • Rolling mill equipment status online monitoring and diagnosis system and monitoring and diagnosis method
  • Rolling mill equipment status online monitoring and diagnosis system and monitoring and diagnosis method
  • Rolling mill equipment status online monitoring and diagnosis system and monitoring and diagnosis method

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Embodiment Construction

[0041] The specific implementation manners of the present invention will be described below in conjunction with the accompanying drawings.

[0042] like figure 1 As shown, the rolling mill equipment status online monitoring and diagnosis system includes: data analysis module 10, servo valve difference analysis module 11, electrical sensor oscillation analysis module 12, rotating parts vibration signal analysis module 13, information comprehensive processing module 14, fault alarm module 15, monitoring view module 16, channel management module 17, standard management module 18 and fault feedback module 19.

[0043] The framework of the online monitoring and diagnosis system for the entire rolling mill equipment status is based on the C / S framework, which is divided into several parts: data server, application server, management server and computer terminal. The connection of each part communicates through Ethernet, in which the data server and application server are one-way tr...

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Abstract

The invention provides an on-line monitoring and diagnosis system and a monitoring and diagnosis method for rolling mill equipment status. The on-line monitoring and diagnosis system for rolling mill equipment status includes: a data analysis module, a servo valve difference analysis module, an electrical sensor oscillation analysis module, and a vibration signal analysis of rotating parts module, information comprehensive processing module, fault alarm module, monitoring view module, channel management module, standard management module, and fault feedback module. The invention enables a large number of encrypted production data files in the system to be analyzed, greatly saving data storage space, and is conducive to the traceability of fault data and in-depth analysis based on big data; through different signal characteristics of servo valves, electrical sensors, and key rotating parts Extraction and analysis can monitor and diagnose the status of rolling mill equipment online in multiple dimensions; through the online monitoring and diagnosis system of rolling mill equipment status, the rolling stability and product quality index control accuracy have been improved.

Description

technical field [0001] The invention relates to an online monitoring and diagnosing system and a monitoring and diagnosing method for rolling mill equipment status, belonging to the field of monitoring systems. Background technique [0002] Rolling mill is the key equipment of metallurgical enterprises, and every year, huge economic losses are caused by sudden major equipment accidents and "overmaintenance". The steel rolling process equipment has a long production line and harsh working environment (high temperature, noise, humidity, dusty, strong electromagnetic field), and the early fault signals of the equipment are hidden in the background of strong noise, which has the characteristics of high nonlinearity and strong coupling, resulting in the failure of the rolling mill The fault mechanism of high-speed rotating parts is complicated, and early fault identification is extremely difficult. How to realize online monitoring and diagnosis of rolling mill equipment status, a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/00
CPCG06Q10/20
Inventor 严保康李维刚赵云涛马建军
Owner 科大集智数据科技(武汉)有限公司
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