Data auxiliary determining method based on dynamic statistics

Abstract

The invention relates to a data auxiliary determining method based on dynamic statistics. The method sets an attention threshold section for acquired living-work detection data on the basis of a standard criterion, and specifically comprises a first determining step of performing preliminary decision according to the standard criterion; a statistic step of performing data statistics on the living-work detection data and setting the attention threshold section according to a statistical result; and a second determining step of performing auxiliary decision according to the living-work detection data of a tested device and the set attention threshold section. Compared with a method in the prior art, the method has advantages of high result precision and high auxiliary determining dependability.

Description

technical field [0001] The invention relates to a data processing method in the technical field of electrification detection, in particular to a data-assisted judgment method based on dynamic statistics. Background technique [0002] In recent years, with the transformation of power grid equipment maintenance from periodic maintenance to condition-based maintenance, condition detection has been more and more widely used. Live detection is an important branch of state detection. Portable detection instruments are usually used for on-site detection of power grid equipment in the running state, which has the characteristics of flexibility, accuracy, and timeliness. Live detection test data, as an important equipment state characterization parameter, is one of the data sources for power grid equipment state evaluation. [0003] At present, there are still several problems to be solved in the live detection business: First, the data of live detection mainly rely on the manual re...

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Problems solved by technology

[0003] At present, there are still several problems to be solved in the live detection business: First, the data of live detection mainly rely on the manual records of field test professionals. This original method has defects such as poor data standardization and the inability to conveniently archive statistical analysis of measurement results.

Second, there are many types and large quantities of data collected in the field work of live detection. When compiling the analysis report, it needs to go through very cumbersome data collection, sorting and editing. Not only is the work efficiency low, but the accuracy and integrity of the data are also difficult to guarantee.

However, the participation of multiple teams also brings about uneven work process standardization and work product quality, and the management requirements for standardized operations are becoming more and more urgent.

Fourth, although the PMS system has accumulated a large amount of valuable data, it cannot be effectively used in the field work of live detection due to reasons such as site, equipment, and network

[0004] The judgment of the existing live detection data is mostly carried out according to the standard. However, there are certain defects in the actual application. For example, the abnormal judgment in the infrared temperature measurement is as follows: 1. The absolute temperature does not exceed the standard; 2. The relative temperature rise of the ABC three-phase does not exceed the standard.

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