Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method and device for intelligent transportation inspection notification

It is a technology of operation inspection and intelligence, which is applied in the direction of measuring device, fault location, and fault detection according to conductor type. It can solve problems such as delaying fault repair time, reduce fault power outage time, improve power supply reliability, and ensure stable operation.

Active Publication Date: 2021-11-16
STATE GRID SHANDONG ELECTRIC POWER +1
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The inventor found that the current inspection work mainly relies on manual work to find the fault point. When a fault occurs, the dispatching department informs the relevant personnel by telephone. It often takes a long time to navigate to the fault location, which delays the fault repair time

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method and device for intelligent transportation inspection notification
  • A method and device for intelligent transportation inspection notification
  • A method and device for intelligent transportation inspection notification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] figure 1 It is a flow chart of an intelligent traffic inspection notification method according to an embodiment of the present disclosure.

[0053] Such asfigure 1 As shown, the intelligent transportation inspection notification method of the present embodiment includes:

[0054] S101: Judging the location of the transmission line fault tower and the cause of the fault, the process is:

[0055] Using the fault distance measurement algorithm, the distance between the current measuring point and the fault point is obtained, and then converted into the fault tower number, and the fault tower position is judged;

[0056] At least two fault features matching the fault cause are selected to train the neural network to determine the fault cause.

[0057] In this embodiment, the fault features include meteorological data features, seasonal features, image recognition features, waveform features, historical fault features and transmission channel conditions;

[0058] The caus...

Embodiment 2

[0105] figure 2 It is a structural schematic diagram of an intelligent traffic inspection notification device according to an embodiment of the present disclosure.

[0106] Such as figure 2 As shown, the intelligent inspection notification device of the present embodiment includes:

[0107] (1) Fault location and cause judgment module, which is used to judge the location of the transmission line fault tower and the fault cause.

[0108] Specifically, the fault location and cause judgment module includes:

[0109] (1.1) fault location judgment sub-module, which is used to utilize the fault ranging algorithm to obtain the distance between the current measuring point and the fault point, and then convert it into a faulty tower number to judge the faulty tower position;

[0110] (1.2) fault cause judgment sub-module, select at least two kinds of fault characteristics matched with the fault cause to train the neural network, and judge the fault cause;

Embodiment approach

[0111] As a specific implementation, in the fault cause judging submodule, the fault features include meteorological data features, seasonal features, image recognition features, waveform features, historical fault features and transmission channel conditions; fault causes are divided into four categories , including lightning strike failures, engineering vehicles, wildfires and equipment itself.

[0112] It can be understood that, in other embodiments, fault features include but are not limited to meteorological data features, seasonal features, image recognition features, waveform features, historical fault features and transmission channel conditions, and can also be meteorological data features, seasonal features A combination of any at least two of the features of , image recognition features, waveform features, historical fault features, and power transmission channel conditions can be selected by those skilled in the art according to specific conditions.

[0113] The faul...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present disclosure provides a method and device for intelligent transportation inspection notification. Among them, an intelligent operation inspection notification method includes judging the location of the faulty tower of the transmission line and the cause of the fault. The location of the faulty tower; select at least two fault features that match the cause of the fault to train the neural network to determine the cause of the fault; call the map database of the current inspection area, locate the faulty tower position in the map database, and query the current measurement. Point to the inspection path of the faulty tower and mark it on the corresponding map to form a navigation map; fill the location of the faulty tower, the cause of the fault and the navigation map into the preset fault notification template to form a fault notification, and push it to the client for display . It can reduce the power failure time and improve the reliability of power supply.

Description

technical field [0001] The disclosure belongs to the field of transportation inspection notification, and in particular relates to an intelligent transportation inspection notification method and device. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the promotion of the deep integration of "Internet +" and traditional business, the rapid development of intelligent inspection technology, the improvement of the efficiency of grid inspection will help to quickly and accurately diagnose power system faults, restore the normal working state of the grid in time, and ensure The quality of power supply service is of great significance to building a strong, reliable and self-healing smart grid. [0004] Due to the long transmission lines and many poles and towers, there is a shortage of personnel and heavy workload in the inspection and ma...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08
CPCG01R31/085G01R31/088
Inventor 杨可林张胜军李鹏许永盛班伟龙代桃桃王居波杜文祥李潇郭金建房振鲁徐广令李辉韩笑
Owner STATE GRID SHANDONG ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products