Intelligent collectingm monitor and collecting monitoring method for large rotary machinery apparatus

Abstract

A monitoring device comprises CPCI bus, DSP processor and hardware of eight channel synchronous high-speed data collection. The method includes realizing dynamic adaptive setting and adjusting of monitoring paramter according to equipment running state, carrying out monitoring data intelligent storage for providing real time monitoring in total running period of large scale rotating equipment.

Description

technical field [0001] The invention relates to the field of monitoring and diagnosis of mechanical equipment status, in particular to an intelligent acquisition and monitoring device and acquisition and monitoring method applied to large rotating machinery. Background technique [0002] In the field and market of condition monitoring of large rotating machinery equipment, there are many kinds of monitoring devices. For example, commonly used common monitoring devices based on PCI (Peripheral Controller Interface, peripheral controller interface) bus, etc., they can only meet the conditions of civil use. In addition, some new monitoring systems also use a DSP (Digital Signal Processor, digital signal processor) processor. However, for large-scale rotating machinery, there is a lack of professional collection and monitoring devices for such key equipment in China. Most of the real-time status monitoring of large-scale rotating machinery in my country at this stage adopts or...

AI Technical Summary

Problems solved by technology

However, for large-scale rotating machinery, there is a lack of professional collection and monitoring devices for such key equipment in China

Most of the real-time status monitoring of large-scale rotating machinery in my country at this stage adopts ordinary monitoring devices based on PCI bus. This device not only has high requirements on the application site, but also cannot meet the real-time monitoring requirements of the system due to lack of real-time signal processing capabilities.

At present, due to the lack of accurate division of equipment operating status, it is difficult to effectively monitor the entire process of monitoring equipment emergencies and store monitoring data, and cannot provide complete and effective monitoring data for fault diagnosis

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