Switch cabinet state evaluation method and device

The invention discloses a switch cabinet state evaluation method and device. The method comprises the following steps: acquiring live detection data of the switch cabinet; carrying out state divisionon the live detection data by adopting a DBSCAN clustering algorithm so as to determine the state of...

Full description

Saved in:
Bibliographic Details
Main Authors WANG WEI, LAI JUNJU, SUN ZHEN, HU JINLEI, LI YANGYANG, HUA YAO
Format Patent
LanguageChinese
English
Published 29.09.2020
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The invention discloses a switch cabinet state evaluation method and device. The method comprises the following steps: acquiring live detection data of the switch cabinet; carrying out state divisionon the live detection data by adopting a DBSCAN clustering algorithm so as to determine the state of the switch cabinet; and optimizing the parameters of the DBSCAN clustering algorithm through the contour coefficient. The DBSCAN clustering algorithm is adopted to perform state division on the live detection data, so that the data can be classified more scientifically without depending on subjective weights. Moreover, the DBSCAN clustering algorithm can well divide non-spherical clusters and clusters with different sizes, the problem that non-spherical clusters and clusters with different sizes are difficult to process in a common mean clustering algorithm is solved, and more scientific and reasonable operation and maintenance suggestions can be provided for operation and maintenance personnel of the switch cabine
Bibliography:Application Number: CN202010560757