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

Electric power inspection time prediction method, device and system

A technology for time prediction and power inspection

Pending Publication Date: 2021-01-29
国网山东省电力公司滨州市沾化区供电公司
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The patrol inspection time formulated in this way relies on manual experience, is not accurate enough, and it is difficult to avoid missed or over-inspected situations, resulting in safety hazards that cannot be dealt with in a timely manner or waste of manpower and material resources

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
  • Electric power inspection time prediction method, device and system
  • Electric power inspection time prediction method, device and system
  • Electric power inspection time prediction method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] Such as figure 1 As shown, this embodiment provides a method for predicting power inspection time, including the following steps:

[0035] S1, obtaining historical inspection parameters to form training samples;

[0036] S2, train the training samples through the neural network algorithm, and obtain the inspection time prediction model;

[0037] S3. For each device to be inspected, predict the next inspection time based on the inspection time prediction model.

[0038] Based on a large number of historical inspection parameters, the method establishes an inspection time prediction model through a neural network algorithm, and predicts the inspection time of each equipment to be inspected through the inspection time prediction model. Inspection parameters, the predicted inspection time is more accurate and reliable.

[0039] Substation is an equipment that usually needs to be inspected in the power field, and its failure probability is related to many factors. In thi...

Embodiment 2

[0044] Such as figure 2 As shown, on the basis of the first embodiment, this embodiment provides a power inspection time prediction device, including the following functional modules.

[0045] Historical data acquisition module 1: Obtain historical inspection parameters and form training samples;

[0046] Prediction model training module 2: train the training samples through the neural network algorithm to obtain the inspection time prediction model;

[0047] Inspection time prediction module 3: For each device to be inspected, predict the next inspection time based on the inspection time prediction model.

[0048] Among them, the acquisition inspection parameters shown in the historical data acquisition module 1 include power consumption of the jurisdiction area supplied by the electric equipment, ambient temperature, ambient humidity, service time of the electric equipment, and time interval between two corresponding failures. The input parameters of the neural network al...

Embodiment 3

[0052] Such as image 3 As shown, on the basis of Embodiment 1 and Embodiment 2, this embodiment provides a power inspection time prediction system, including a prediction background 101 , an inspection terminal 102 , and a database 103 . Wherein, the prediction background 101 communicates with the inspection terminal 102 and the database 103 respectively.

[0053] The forecasting background 101 is configured with the device described in Embodiment 2, and the database 103 stores the geographical location and inspection specifications of each device to be inspected. The inspection terminal 102 receives and displays the reminder information sent by the forecasting background.

[0054] The prediction background 101 predicts the inspection time of each equipment to be inspected according to the configured device, and when any equipment to be inspected is about to arrive at the inspection time, it obtains the geographical location and inspection specifications of the corresponding ...

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 invention discloses an electric power inspection time prediction method, device and system. The method comprises the following steps of acquiring historical inspection parameters to form a training sample; training the training sample through a neural network algorithm to obtain an inspection time prediction model; and for each to-be-inspected device, predicting the next inspection time basedon the inspection time prediction model. The invention does not need to depend on artificial experience, considers a plurality of inspection parameters, obtains the more accurate prediction model, canpredict the more accurate inspection time, eliminates the conditions of missing inspection or over-inspection, timely eliminates the potential safety hazards, and saves the manpower and material resources.

Description

technical field [0001] The invention relates to the field of electric power inspection, in particular to a method, device and system for predicting electric power inspection time. Background technique [0002] In the field of electric power, it is necessary to carry out inspections on electric power equipment (such as transformers) in real time to avoid potential safety hazards from being discovered. At present, the inspection time of power equipment is generally determined by experience, and the power equipment is regularly inspected. The patrol inspection time formulated in this way relies on manual experience, is not accurate enough, and it is difficult to avoid missed or over-inspected situations, resulting in safety hazards that cannot be dealt with in a timely manner or waste of manpower and material resources. Contents of the invention [0003] In order to solve the above problems, the present invention provides a power inspection time prediction method, device and...

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 Applications(China)
IPC IPC(8): G06Q10/04G06F30/27G06Q50/06
CPCG06Q10/04G06Q50/06G06F30/27
Inventor 高波赵海龙尹梁国戚振飞吴涛李玲玲黄晓陈秋梁
Owner 国网山东省电力公司滨州市沾化区供电公司
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com