CN113052819A - Circuit defect picture acquisition and analysis system and acquisition and analysis method - Google Patents
Circuit defect picture acquisition and analysis system and acquisition and analysis method Download PDFInfo
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- CN113052819A CN113052819A CN202110320401.5A CN202110320401A CN113052819A CN 113052819 A CN113052819 A CN 113052819A CN 202110320401 A CN202110320401 A CN 202110320401A CN 113052819 A CN113052819 A CN 113052819A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
Abstract
The invention discloses a circuit defect picture acquisition and analysis system and a circuit defect picture acquisition and analysis method, wherein the circuit defect picture acquisition and analysis system comprises: reception module (1): receiving an original picture acquired and uploaded by an unmanned aerial vehicle; processing module (2): processing the received picture according to requirements to obtain a processed picture; the processing comprises compressing the pictures for transmission and storage; screening module (3): screening the pictures according to the image acquisition standard of the power grid equipment to obtain the pictures meeting the standard; analysis module (4): the analysis device is used for analyzing the information attached to the picture to obtain an analysis result, wherein the information comprises a circuit device type, a device defect grade and device position information; is connected with the report generating module (5) and the report display module (6); the problem of among the prior art though can gather a large amount of circuit defect pictures with the help of unmanned aerial vehicle, but can not effectively draw information in the picture etc. technical problem is solved.
Description
Technical Field
The invention belongs to the picture processing technology, and particularly relates to a circuit defect picture acquisition and analysis system and a circuit defect picture acquisition and analysis method.
Background
Electric power equipment such as a power line and a pole tower are exposed in the field for a long time and are continuously damaged by external factors such as mechanical tension, material aging, lightning stroke, dirt and the like, so that faults such as strand breakage, corrosion, insulator damage, pole tower inclination and the like are easily caused. A large number of device defect pictures are left in the process of inspecting and processing circuit defects. These pictures may guide future circuit device defect handling work.
With the development of information technology and artificial intelligence technology in recent years, the daily maintenance work of the power equipment also realizes automation and intellectualization to a certain extent. Especially, unmanned aerial vehicle technique has played important effect in power equipment's the work of patrolling and examining.
Although a large number of circuit defect pictures can be acquired by the aid of the unmanned aerial vehicle, how to effectively extract information in the pictures and how to use the information to improve the working efficiency of the power grid is the problem to be solved in the process of promoting automation and intellectualization of daily work of the power grid in the field.
Disclosure of Invention
The invention aims to solve the problems that: the circuit defect picture acquisition and analysis system and the circuit defect picture acquisition and analysis method are provided to solve the technical problems that in the prior art, a large number of circuit defect pictures can be acquired by means of an unmanned aerial vehicle, but information in the pictures cannot be effectively extracted, and the like.
The technical scheme adopted by the invention is as follows:
a circuit defect picture acquisition and analysis system comprises:
a receiving module: receiving an original picture acquired and uploaded by the unmanned aerial vehicle, and connecting the original picture with a processing module;
a processing module: processing the received picture according to requirements to obtain a processed picture; the processing comprises compressing the picture for transmission and storage, and connecting with a screening module;
a screening module: screening the pictures according to the image acquisition standard of the power grid equipment to obtain the pictures meeting the standard, and connecting the pictures with an analysis module;
an analysis module: the analysis device is used for analyzing the information attached to the picture to obtain an analysis result, wherein the information comprises a circuit device type, a device defect grade and device position information; is connected with the report generating module and the report displaying module.
And the report generation module generates a defect analysis report according to the analysis result obtained by the analysis module and provides an online editing function for the generated defect analysis report.
The report display module performs statistical calculation and automatically draws a statistical chart according to the analysis result obtained by the analysis module; is connected with the storage module.
And the storage module is used for storing the processed pictures and the defect analysis reports as defect analysis records.
The processing module comprises an exif information processing submodule and a compression submodule; the exif information processing submodule is used for reserving the exif information of the source picture before and after picture compression; and the compression submodule is used for compressing the original picture according to the set compression method and compression parameters.
The analysis module comprises an exif information analysis submodule and a defect identification submodule; the exif information analysis submodule is used for extracting important information in the picture exif information; the important information comprises shooting time and shooting place, and administrative division place information is generated according to longitude and latitude coordinates of the shooting place; the defect identification submodule is used for extracting the equipment type, the equipment defect type and the defect level information of the circuit equipment shown in the picture.
The report generation module comprises a generation submodule and a display submodule; the generation submodule is used for generating an analysis report according to the information analyzed by the analysis module and providing a manual online editing function; and the display submodule is used for displaying the analysis report.
The circuit defect picture acquisition and analysis system acquisition and analysis method comprises the following steps:
s101, acquiring an image of a target area of circuit equipment by using an unmanned aerial vehicle to obtain an original picture;
step S102, the original picture is uploaded to a cloud service acquisition and analysis system, and the system automatically processes the original picture to obtain a processed picture;
step S103, analyzing the processed picture by using a cloud service acquisition and analysis system to obtain the equipment type, the equipment position, the defect type and the defect grade information contained in the picture;
step S104, generating a line defect report according to the analyzed information, and archiving or distributing the report;
and S105, according to the information obtained by analysis, carrying out statistical calculation to obtain a defect analysis report, and displaying the report.
The specific method of step S102 includes:
(1) extracting picture exif information; the exif of the picture comprises shooting equipment, shooting parameters and geographical position information of the picture;
(2) compressing the picture; selecting a compression algorithm and parameters to compress the picture according to the use requirement of the picture and the storage and transmission environment, and attaching the extracted exif information again after compression;
(3) screening pictures; checking the attributes of the compressed picture, wherein the attributes comprise: resolution, saturation and occupied storage space; deleting the pictures with the attributes which do not accord with the set test standard;
step S103 specifically includes:
(1) extracting picture additional information: extracting required additional information from exif information of the picture, wherein the extracted information at least comprises the following information: a shooting time and a shooting location;
(2) analyzing the defects of the equipment shown in the picture: and analyzing the type, defect type and defect grade of the power grid equipment shown by the picture according to the picture.
Step S104 specifically includes:
(1) setting a defect report template, wherein the template at least can contain the information analyzed in the step 3;
(2) generating a defect report according to the template and the analyzed information;
(3) filing the defect report, and storing the defect report into a special database or a file system;
(4) distributing a defect report, and sending the defect report to equipment of a designated person;
step 105 specifically includes:
(1) setting a display basis, wherein the display basis at least comprises: according to time, defect type and equipment display principle;
(2) and displaying the report according to the display basis.
The invention has the beneficial effects that:
according to the circuit defect picture acquisition and analysis method and the circuit defect picture acquisition and analysis system, the unmanned aerial vehicle equipment is used for automatically acquiring the circuit equipment image and intelligently analyzing the image, so that the automation level of power grid defect inspection work can be greatly improved, accurate reference information is provided for subsequent defect elimination work, and the efficiency of the power grid defect elimination work is improved; the problem of among the prior art though can gather a large amount of circuit defect pictures with the help of unmanned aerial vehicle, but can not effectively draw information in the picture etc. technical problem is solved.
Drawings
FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a block diagram of the system of the present invention.
Detailed Description
Example one
Referring to fig. 1, a schematic diagram of a working flow of circuit defect image acquisition and analysis is shown, which includes the following steps:
s101, acquiring an image of a target area of the circuit equipment by using an unmanned aerial vehicle according to a certain requirement to obtain a target picture; also called original picture.
The requirements to be followed when the circuit equipment is subjected to image acquisition are determined by the requirements of users, and the principles of accurate focusing, proper angle, sufficient exposure, no ghost image and the like are generally followed.
In step S102, the target picture is uploaded to a cloud service picture analysis system or a cloud service acquisition and analysis system, and the system automatically processes the target picture to obtain a processed picture.
In this embodiment, the specific steps of the processing include:
(1) extracting picture exif information: the exif of the picture contains information such as shooting equipment, shooting parameters and geographical position of the picture, and the information is lost in compression, so the information is extracted first.
(2) Compressing the picture; and selecting a proper compression algorithm and parameters according to specific picture use requirements and storage and transmission environments, compressing the picture, and attaching the extracted exif information again after compression.
(3) Screening pictures: checking the attributes of the compressed picture, wherein the attributes at least comprise: resolution, saturation, size of occupied storage space. And deleting the pictures with the attributes which do not accord with the set test standard.
In S103, the cloud service picture analysis system is used to analyze the processed picture, and information such as a device type, a device position, a defect type, a defect level, and the like included in the picture is obtained through analysis;
in this embodiment, the specific picture analysis method includes:
(1) extracting picture additional information: extracting required additional information from exif information of the picture, wherein the extracted information at least comprises the following information: the shooting time and the shooting place.
(2) Analyzing the defects of the equipment shown in the picture: and analyzing the type, defect type and defect grade of the power grid equipment shown by the picture according to the picture.
Preferably, automatic identification of device defects is achieved using machine learning based image recognition tools.
And S104, generating a line defect report according to the information obtained by analysis, and archiving or distributing the report.
Specifically, the present step includes:
(1) setting a defect report template, wherein the template can at least contain the information analyzed in the step 3.
(2) And generating a defect report according to the template and the analyzed information.
(3) And archiving the defect report, and particularly storing the defect report into a special database or a file system.
(4) And sending a defect report to equipment of the designated personnel.
And S105, according to the information obtained by analysis, performing statistical calculation to obtain a defect analysis report, and displaying the report. Specifically, the present step includes:
(1) setting a display basis, wherein the display basis at least comprises: according to time, according to defect type, according to the principle of display of the equipment.
(2) And displaying the report according to the display basis.
Preferably, the current report can be exported.
Example two.
Referring to fig. 2, a schematic block diagram of a cloud service picture analysis system is shown. The cloud service picture analysis system 100 includes:
the system comprises a receiving module 1, a processing module 2, a screening module 3, an analysis module 4, a report generation module 5 and a report display module 6.
Specifically, the receiving module 1 is configured to receive source data of a picture, that is, receive an original picture acquired and uploaded by the unmanned aerial vehicle.
And the processing module 2 is a module for processing the picture according to the requirement to obtain the processed picture. For example, a picture is compressed for transmission and storage;
specifically, the processing module 2 includes an exif information processing sub-module 21 and a picture compression sub-module 22
And the exif information processing submodule 21 is used for reserving the source picture exif information before and after picture compression.
And the compression sub-module 22 is configured to compress the original picture according to the set compression method and compression parameters.
And the screening module 3 is used for screening the pictures according to the image acquisition standard of the power grid equipment so as to obtain the pictures meeting the standard.
An analysis module 4, configured to analyze information attached to the picture, where the information at least includes: the type of circuit equipment, the type of equipment defect, the grade of equipment defect and the position of equipment;
specifically, the analysis module includes an exif information analysis submodule 41 and a defect identification submodule 42.
And an exif information analysis sub-module 41 for extracting important information in the picture exif information, such as the shooting time, the shooting location, and the like. The module can generate administrative division location information according to longitude and latitude coordinates of a shooting location.
And the defect identification submodule 42 is used for extracting the device type, the device defect type and the defect grade information of the circuit device shown in the picture.
And the report generating module 5 is used for generating a defect analysis report according to the analysis result obtained by the analysis module and providing an online editing function for the generated defect analysis report.
The report generating module 5 includes a generating sub-module 51 and a displaying sub-module 52.
And the generation submodule 51 is used for generating an analysis report according to the information analyzed by the analysis module and providing a manual online editing function.
And a display sub-module 52 for displaying the generated analysis report.
And the report display module 6 is used for carrying out statistical calculation and automatically drawing a statistical chart according to the analysis result obtained by the analysis module.
And the storage module 7 is used for storing the processed picture and the defect analysis report as a defect analysis record in a picture analysis set.
Claims (10)
1. A circuit defect picture acquisition and analysis system comprises:
reception module (1): receiving an original picture acquired and uploaded by the unmanned aerial vehicle, and connecting the original picture with the processing module (2);
processing module (2): processing the received picture according to requirements to obtain a processed picture; the processing comprises the steps of compressing the pictures for transmission and storage, and connecting with the screening module (3);
screening module (3): screening the pictures according to the image acquisition standard of the power grid equipment to obtain the pictures meeting the standard, and connecting the pictures with an analysis module (4);
analysis module (4): the analysis device is used for analyzing the information attached to the picture to obtain an analysis result, wherein the information comprises a circuit device type, a device defect grade and device position information; is connected with the report generating module (5) and the report display module (6).
2. The system of claim 1, wherein the system comprises: and the report generating module (5) generates a defect analysis report according to the analysis result obtained by the analysis module and provides an online editing function for the generated defect analysis report.
3. The system of claim 1, wherein the system comprises: the report display module (6) performs statistical calculation and automatically draws a statistical chart according to the analysis result obtained by the analysis module (4); is connected with the storage module (7).
4. The system of claim 3, wherein the circuit defect image acquisition and analysis system comprises: and the storage module (7) is used for storing the processed pictures and the defect analysis reports as defect analysis records.
5. The system of claim 1, wherein the system comprises: the processing module (2) comprises an exif information processing submodule (21) and a compression submodule (22); the exif information processing sub-module (21) is used for reserving the exif information of the source picture before and after picture compression; and the compression sub-module (22) is used for compressing the original picture according to the set compression method and compression parameters.
6. The system of claim 1, wherein the system comprises: the analysis module (4) comprises an exif information analysis submodule (41) and a defect identification submodule (42); the exif information analysis submodule (41) is used for extracting important information in the picture exif information; the important information comprises shooting time and shooting place, and administrative division place information is generated according to longitude and latitude coordinates of the shooting place; and the defect identification submodule (42) is used for extracting the device type, the device defect type and the defect level information of the circuit device shown in the picture.
7. The system of claim 2, wherein the circuit defect image acquisition and analysis system comprises: the report generation module (5) comprises a generation submodule (51) and a display submodule (52); the generation submodule (51) is used for generating an analysis report according to the information analyzed by the analysis module and providing a manual online editing function; the presentation submodule (52) is used for presentation of the analysis report.
8. The method as claimed in claim 1, comprising the steps of:
s101, acquiring an image of a target area of circuit equipment by using an unmanned aerial vehicle to obtain an original picture;
step S102, the original picture is uploaded to a cloud service acquisition and analysis system, and the system automatically processes the original picture to obtain a processed picture;
step S103, analyzing the processed picture by using a cloud service acquisition and analysis system to obtain the equipment type, the equipment position, the defect type and the defect grade information contained in the picture;
step S104, generating a line defect report according to the analyzed information, and archiving or distributing the report;
and S105, according to the information obtained by analysis, carrying out statistical calculation to obtain a defect analysis report, and displaying the report.
9. The method according to claim 1, wherein the method comprises the steps of: the specific method of step S102 includes:
(1) extracting picture exif information; the exif of the picture comprises shooting equipment, shooting parameters and geographical position information of the picture;
(2) compressing the picture; selecting a compression algorithm and parameters to compress the picture according to the use requirement of the picture and the storage and transmission environment, and attaching the extracted exif information again after compression;
(3) screening pictures; checking the attributes of the compressed picture, wherein the attributes comprise: resolution, saturation and occupied storage space; deleting the pictures with the attributes which do not accord with the set test standard;
step S103 specifically includes:
(1) extracting picture additional information: extracting required additional information from exif information of the picture, wherein the extracted information at least comprises the following information: a shooting time and a shooting location;
(2) analyzing the defects of the equipment shown in the picture: and analyzing the type, defect type and defect grade of the power grid equipment shown by the picture according to the picture.
10. The method according to claim 1, wherein the method comprises the steps of: step S104 specifically includes:
(1) setting a defect report template, wherein the template at least can contain the information analyzed in the step 3;
(2) generating a defect report according to the template and the analyzed information;
(3) filing the defect report, and storing the defect report into a special database or a file system;
(4) distributing a defect report, and sending the defect report to equipment of a designated person;
step 105 specifically includes:
(1) setting a display basis, wherein the display basis at least comprises: according to time, defect type and equipment display principle;
(2) and displaying the report according to the display basis.
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| Publication number | Priority date | Publication date | Assignee | Title |
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