Equipment data layered acquisition method and device

Abstract

The invention discloses an equipment data layered acquisition method. The method comprises the following steps: dividing equipment data into at least first layer data, second layer data and third layer data; collecting one group of first layer data every a first time interval and obtaining a group of first indexes of the group of first layer data; selecting one of the plurality of groups of first indexes obtained in a preset time interval every the preset time interval and storing the group of first indexes; collecting one group of second layer data every a second time interval, and obtaining one group of second indexes of the group of second layer data; storing each group of second indexes; collecting one group of third layer data every a third time interval, and obtaining one group of third indexes of the group of third layer data; and storing each group of third layer data and the group of third indexes of the group of third layer data. The invention also provides an equipment data layered acquisition device.

Description

technical field [0001] The invention relates to the field of online monitoring of equipment, in particular to a method and device for layered collection of equipment data. Background technique [0002] In recent years, the types of large-scale and high-speed rotating mechanical equipment in industries such as electric power, petrochemical industry, and metallurgy have become increasingly diverse, and their structures have become increasingly complex. The frequent occurrence of failures not only brings huge losses to the production of enterprises, but also may cause major accidents . The maintenance of these devices is difficult and will take up a lot of manpower and material resources. With the rapid development of computer technology and digital signal processing technology, mechanical equipment condition monitoring technology is being applied by enterprises. [0003] Condition monitoring technology constantly obtains the state information of the equipment in operation or...

AI Technical Summary

Problems solved by technology

High-density collection ensures timely monitoring, but occupies a large amount of storage resources. Low-density collection ensures data storage, but there is no guarantee that system abnormalities will be caught, and there is a possibility of false positives

[0005] In order to take into account real-time monitoring and rational use of storage space, a single acquisition technology cannot meet the requirements, so a systematic and hierarchical acquisition solution is required

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