Cable line front-end multi-state quantity fusion prediction method and device

Abstract

The invention discloses a cable line front-end multi-state-quantity fusion prediction method and device, and the method achieves the analysis of the short-time and multi-state-quantity data of a cableline monitoring front end, achieves the on-site diagnosis of an equipment state and the early warning of abnormal information, and achieves the core functions of equipment automatic recognition, datacollection and diagnosis on the premise that the method does not completely depend on a background. Inspection personnel can conveniently and quickly master the cable state based on front-end data, and the operation and inspection efficiency is improved.

Description

technical field [0001] This application relates to the field of operation, maintenance and repair of power cable equipment, in particular to a multi-state quantity fusion prediction method at the front end of a cable line, and at the same time relates to a multi-state quantity fusion prediction device at the front end of a cable line. Background technique [0002] At present, the operation and maintenance of cable lines is mainly based on manual inspection, status detection and online monitoring, and the data is discrete and isolated. Operation and maintenance personnel cannot effectively evaluate and grasp the operating status of cable lines during inspection or maintenance, and cannot pass the system. The platform obtains line operation and status information data, and the inspection efficiency is subject to certain restrictions. The inspection and inspection data are scattered in various testing equipment, data forms or monitoring platforms. The format lacks uniformity and...

AI Technical Summary

Problems solved by technology

[0002] At present, the operation and maintenance of cable lines is mainly based on manual inspection, status detection and online monitoring, and the data is discrete and isolated. Operation and maintenance personnel cannot effectively evaluate and grasp the operating status of cable lines during inspection or maintenance, and cannot pass the system. The platform obtains line operation and status information data, and the inspection efficiency is subject to certain restrictions. The inspection data is scattered in various testing equipment, data forms or monitoring platforms. Workflow is complicated

In addition, the cable operation and maintenance volume is large, the number of personnel is small, and the channel environment is complex. The inspection is mainly based on manual access. Inspection problems occur from time to time

The current situation is mainly based on centralized detection and monitoring data analysis, and the correlation analysis and mining capabilities between state variables are insufficient, and based on single-time or single-site state detection / monitoring data of a single device, there is no Horizontal research and judgment of cable equipment or vertical research and judgment based on historical maintenance and development trends, so the analysis conclusions often deviate greatly from the actual situation, and the degree of practicality is extremely low

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