A method of obtaining the optimal route for power outage emergency repair based on real-time road conditions

A technology of real-time road conditions and optimal paths, applied in the application field of intelligent transportation technology, can solve the problems of inability to quickly reach the power outage area for emergency repair, time consumption, and damage to power equipment.

Active Publication Date: 2021-08-20
KUNMING UNIV OF SCI & TECH
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Due to natural factors such as heavy wind and heavy rain, or damage to power equipment by foreign objects, or the load of power equipment is overloaded during the peak period of power consumption, power outages are everywhere, affecting people's normal work and life, especially in banks, factories, hospitals, etc. Areas with a very high importance level will be most affected (economically underdeveloped areas may not be able to have autonomous generators for each area with a high importance level)
At this time, power supply repair personnel play an extremely important role, but they often consume a lot of time due to unstable factors such as not planning the optimal route in advance, encountering traffic jam peak hours, primary and middle school students leaving school, or road construction and maintenance road closures. , so that it is impossible to quickly reach the power outage area for emergency repairs

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 of obtaining the optimal route for power outage emergency repair based on real-time road conditions
  • A method of obtaining the optimal route for power outage emergency repair based on real-time road conditions
  • A method of obtaining the optimal route for power outage emergency repair based on real-time road conditions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention will be further described below in conjunction with drawings and embodiments.

[0024] Such as Figure 1~2 As shown, a method for obtaining the optimal path for power outage emergency repair based on real-time road conditions, firstly, the power outage location acquisition module 11 in the power outage data collection and processing module 1 sends the power outage location in the collected area to the judgment module 12, and the judgment module 12 Whether it is a power outage site is judged, if there is only one power outage site, then the power outage site is sent to the RBF neural network algorithm processing module 3, if there are more than two outage sites, then more than two outage sites are sent to the outage site In the importance sorting module 13, the power outage location importance ranking module 13 sorts more than two power outage locations according to the importance, and then sends the sorted results to the RBF neural network algorith...

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 a method for obtaining the optimal path for power outage emergency repair based on real-time road conditions. Firstly, the power outage data collection and processing module sends the power outage location to the judgment module, and the judgment module makes a judgment. If there is only one power outage location, the power outage location is sent to In the RBF neural network algorithm processing module, if there are more than two outage locations, the importance of the two or more outage locations is first sorted, and the sorted results are sent to the RBF neural network algorithm processing module, and the RBF neural network algorithm processing module simultaneously Combining the data of the data acquisition and processing module and the location of the power outage to calculate the model, and then send the model to the Dijkstra algorithm processing module, the Dijkstra algorithm combines the model and real-time data in the real-time data module for calculation. The optimal path can be obtained; the present invention has timeliness and accuracy, and can help repair personnel restore power supply in the shortest time and ensure normal life.

Description

technical field [0001] The invention relates to a method for obtaining an optimal path for power outage emergency repair based on real-time road conditions, and belongs to the application field of intelligent transportation technology. Background technique [0002] Dijkstra's algorithm is a typical single-source shortest path algorithm, which was proposed by Dutch computer scientist Dijkstra in 1959. It is the shortest path algorithm from one vertex to the rest of the vertices. The shortest path problem in a directed graph. The main feature of Dijkstra's algorithm is to expand from the starting point to the outer layer until it reaches the end point. [0003] The implementation process of Dijkstra's algorithm: Declare an array dis to save the shortest distance from the source point to each vertex and a set T that saves the vertices that have found the shortest path. Initially, the path weight of the origin s is assigned to 0 (dis[s]=0). If there is a directly reachable ed...

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): G06Q10/04G06Q10/00G06Q50/06G06N3/08
CPCG06N3/08G06Q10/047G06Q10/20G06Q50/06
Inventor 詹跃东陈炜炜吕宁
Owner KUNMING UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products