Unlock instant, AI-driven research and patent intelligence for your innovation.
A system and method for prediction and analysis of distribution network fault emergency repair
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A predictive analysis and fault technology, applied in the field of distribution network fault repair prediction system, which can solve problems such as staying
Active Publication Date: 2020-08-07
SHANDONG LUNENG SOFTWARE TECH
View PDF4 Cites 0 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
However, at present, most power companies still have many deficiencies in power supply services. Among them, the distribution network emergency repair, as a main power business that affects the user's electricity experience, still stays in the traditional passive emergency repair mode with the user as the main initiator
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
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0047] Such as figure 1 As shown, it is a schematic structural diagram of a distribution network fault emergency repair prediction and analysis system provided by the present invention. The system includes: a server, a data extraction unit, a memory, a processor and an application program server connected in sequence, and the processor is also connected to the data processing unit at the same time;
[0048] Among them, the server is used to store the original data, and the original data includes the repair history data of each unit, weather data and basic equipment information;
[0049] The data extraction unit is used to extract sample data from the raw data of the server according to the processor control instruction according to the control of the processor, and send it to the memory. The sample data includes specified types of historical data, real-time weather data and real-time status information of equipment;
[0050] The memory is used for receiving and caching the sa...
Embodiment 2
[0054] Corresponding to Embodiment 1, the present invention provides a method for predicting and analyzing distribution network fault emergency repair, and the steps are as follows.
[0055] (1) Obtain sample data from the server. For example, from January 1, 2015 to March 18, 2015, December 07, 2015 to March 7, 2016, and November 27, 2016 to 2017 are obtained from many raw data of servers in the actual production system Sample data on February 27, 2019.
[0056] (2) Eliminate the bad sample data in the sample data, and then classify and count the eliminated sample data. Due to problems such as missing data and non-compliant data in the sample data, the sample data needs to be further cleaned, and then the sample data is classified and counted. After excluding bad sample data, the total number is 357,862.
[0057](3) The sample data were visualized and analyzed by Matlab software. In the stage of researching data distribution and characteristics, we tried to analyze the dat...
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
Login to View More
Abstract
The invention discloses a distribution network fault emergency repair prediction analysis system and method, wherein the system comprises a server, a data extraction unit, a memory, a processor and anapplication program server which are connected in turn, and the processor is also connected with a data processing unit at the same time. The invention utilizes large data mining technology; based onthe historical data of power failure repair the special period, weather, temperature, equipment aging and load rate are used as disturbance factors to accurately assess power network faults by rolling basic value method with disturbance characteristics, accurately predict distribution network emergency repair high-risk areas, find weak links in power network system in advance, and provide reference for power network to take corresponding measures in advance to effectively reduce distribution network failure rate, and make preparation for emergency repair beforehand.
Description
technical field [0001] The invention relates to the field of distribution network fault emergency repair prediction based on big data mining technology, in particular to a distribution network fault emergency repair prediction system and method. Background technique [0002] With the continuous improvement of people's demand for electricity and the rapid development of society, the requirements for the quality of power supply services of power supply companies are getting higher and higher. However, at present, most power companies still have many deficiencies in power supply services. Among them, the distribution network emergency repair, as a main power business that affects the user's electricity experience, still stays in the traditional passive emergency repair mode with the user as the main initiator . How to discover weak links in the power grid system in advance, accurately predict the high-risk areas of distribution network emergency repairs in advance, take corres...
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
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to View More 
Login to View More 
