Power distribution room equipment fault analysis and pre-judgment method and device based on edge computing
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 technology of equipment failure and edge computing, applied in computing, measuring devices, computer components, etc., can solve the problems of high inspection pressure, heavy workload of inspection personnel, and low efficiency, so as to improve accuracy and reduce manual inspection costs Effect
Pending Publication Date: 2020-12-15
GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
View PDF0 Cites 5 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
[0002] The operating status of equipment is very important to ensure the safe operation of the power grid. At present, the main methods of power grid companies are manual inspection and live detection. However, there are two problems: 1. Manual inspection has a large workload, low efficiency, and high cost, resulting in a heavy workload for inspection personnel , the inspection pressure is high, and the contradiction between the rapid growth of the power grid scale and the allocation of equipment operation and maintenance personnel is becoming increasingly prominent; 2. There are inspection blind spots in manual inspection, and the operation and maintenance personnel cannot realize all-weather, full-time, all-round inspection
At present, there are mainly problems in live detection and diagnosis of power distribution room equipment, such as heavy workload of inspection personnel, low cost performance of detection methods, and low detection accuracy of old and fault-prone equipment.
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
[0035] refer to Figure 1 ~ Figure 4 , which is the first embodiment of the present invention, this embodiment provides a method for analyzing and predicting the failure of power distribution room equipment based on edge computing, including:
[0036] S1: Collect the state quantity data of the sensing terminal in the power distribution room and perform normalization processing to form a sample data set. It should be noted that the state quantity data includes:
[0039] The training set includes the historical state quantity data of the perception terminal in the power distribution room in the past five years;
[0040] The test set includes the data of the perceived terminal status of the power distribution room to be tested;
[0041] The verification set includes the data of the perceived terminal status of the po...
Embodiment 2
[0084] refer to Figure 5 , which is the second embodiment of the present invention. This embodiment is different from the first embodiment in that it provides a device for analyzing and predicting equipment faults in power distribution rooms based on edge computing, including:
[0085] The information collection module 100 is used to collect the real-time state quantities and historical state quantities of the operation of each equipment in the power distribution room, which includes a camera 101 and a sensor 102, the camera 101 is used to capture image information of each equipment, and the sensor 102 is used to sense the equipment operation status volume data.
[0086] The data processing center module 200 is connected to the information collection module 100, which includes a calculation unit 201, a training unit 202 and an input and output unit 203. The calculation unit 201 is used to calculate and process the state quantity data transmitted by the information collection ...
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 power distribution room equipment fault analysis and pre-judgment method and device based on edge computing, and the method comprises the steps: collecting the state quantitydata of a power distribution room sensing terminal, carrying out the normalization processing, and forming a sample data set; constructing a deep learning model based on a deep convolutional network,inputting the sample data set for identification training, and stopping training until an output identification result is consistent with a training sample label; performing fusion analysis on the state quantity by using the trained deep learning model; identifying and positioning abnormal sounds of multiple partial discharge sources and equipment for the plurality of sensing terminals in combination with a collaborative edge strategy; and judging the fault state of the power distribution room equipment based on the fusion analysis result and the identification positioning result. According to the invention, the manual inspection cost is effectively reduced, and information and data are acquired in real time; in addition, based on integrated judgment of a fusion analysis result and an identification positioning result, the accuracy of equipment fault judgment is improved.
Description
technical field [0001] The invention relates to the field of distribution network and Internet of Things information technology, and in particular to a method and device for analyzing and predicting equipment faults in a power distribution room based on edge computing. Background technique [0002] The operating status of equipment is very important to ensure the safe operation of the power grid. At present, the main methods of power grid companies are manual inspection and live detection. However, there are two problems: 1. Manual inspection has a large workload, low efficiency, and high cost, resulting in a heavy workload for inspection personnel , the inspection pressure is high, and the contradiction between the rapid growth of the grid scale and the allocation of equipment operation and maintenance personnel is becoming increasingly prominent; 2. There are inspection blind spots in manual inspections, and operation and maintenance personnel cannot perform all-weather, fu...
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