CN113706500A - Management system based on DR detection - Google Patents
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Abstract
The invention provides a management system based on DR detection, and relates to the technical field of management systems. A management system based on DR detection, the system comprising: the DR detection module, the image transmission module, the image analysis module and the image storage module are sequentially connected; the DR detection module is used for obtaining an image to be detected of the workpiece to be detected by adopting X rays; the image transmission module is used for transmitting the image to be detected obtained by the DR detection module to the image analysis module; the image analysis module is used for analyzing the image to be detected and determining whether the image to be detected is qualified or not so as to determine whether the workpiece to be detected is qualified or not; the image storage module is used for storing the image to be detected analyzed by the image analysis module. The invention can collect a large amount of informationized images to be detected by the DR detection module, and analyze and arrange the large amount of images to be detected by the image analysis module, thereby realizing the uniform filing management of the informationized data.
Description
Technical Field
The invention relates to the technical field of management systems, in particular to a management system based on DR detection.
Background
DR detection is a technique for converting X-ray information penetrating a workpiece into digital signals by using a flat panel detector, and displaying images on a display screen after the digital signals are processed by a computer. The DR can perform various image post-processing according to needs, and provides technical support for detail observation, front-back comparison and quantitative analysis in image diagnosis.
The DR detection is very popular, but a large amount of digital data does not form a complete data chain, most of the data exists independently, the validity and the practicability of the data cannot be guaranteed, and the due value of the data is not fully exerted, so that the data islanding condition is serious.
Disclosure of Invention
The embodiment of the invention aims to provide a management system based on DR detection, which can collect a large number of informationized images to be detected by a DR detection module, and analyze and arrange the large number of images to be detected by an image analysis module to realize uniform filing management of informationized data.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
the embodiment of the invention provides a management system based on DR detection, which comprises: the DR detection module, the image transmission module, the image analysis module and the image storage module are sequentially connected; the DR detection module is used for obtaining an image to be detected of the workpiece to be detected by adopting X rays; the image transmission module is used for transmitting the image to be detected obtained by the DR detection module to the image analysis module; the image analysis module is used for analyzing the image to be detected and determining whether the image to be detected is qualified or not so as to determine whether the workpiece to be detected is qualified or not; the image storage module is used for storing the image to be detected analyzed by the image analysis module.
In some embodiments, the system includes an in-situ monitoring layer and a cloud platform control layer; the DR detection module and the image transmission module are arranged on the on-site monitoring layer, and the image transmission module, the image analysis module and the image storage module are arranged on the cloud platform control layer.
In some embodiments, the system further comprises: and the image retrieval module is connected with the image storage module and is used for retrieving the image data information in the image storage module.
In some embodiments, the system further comprises: and the report generation module is connected with the image storage module and used for generating an electronic report according to the data in the image storage module.
In some embodiments, the system further comprises: and the template storage module is connected with the report generation module and is used for providing a template for generating the electronic report for the report generation module.
In some embodiments, the system further comprises: and the electronic signature module is connected with the report generating module and used for providing an electronic signature for the electronic report generated by the report generating module.
In some embodiments, the image analysis module comprises: the receiving module is used for receiving the image to be detected transmitted by the image transmission module; the comparison module is connected with the receiving module and is used for comparing and analyzing the image to be detected; and the output module is connected with the comparison module and used for outputting a corresponding result according to the analysis of the comparison module.
In some embodiments, the comparison module comprises: the acquisition module is used for acquiring defect image information of the workpiece to be detected; the identification module is connected with the acquisition module and used for identifying the defect type of the defect image information; the classification module is connected with the identification module and is used for classifying the identified defect image information; the image library module is connected with the classification module and used for establishing a corresponding defect image library according to the defect type; and the learning module is connected with the gallery module and used for learning according to a defect image gallery established by the defect type so as to obtain the identification capability of the corresponding category defects.
In some embodiments, the image to be detected comprises a picture to be detected and picture information.
Some embodiments of the present invention also provide a management method using a DR detection-based management system as described above, the system including: the DR detection module, the image transmission module, the image analysis module and the image storage module are sequentially connected; the method comprises the following steps: obtaining an image to be detected of a workpiece to be detected by adopting X rays; transmitting the image to be detected obtained by the DR detection module to the image analysis module; analyzing the image to be detected to determine whether the image to be detected is qualified or not so as to determine whether the workpiece to be detected is qualified or not; and storing the image to be detected analyzed by the image analysis module.
In the 'film digital management system for realizing nondestructive testing and training method on film evaluation network' disclosed in application No. 202010679131.2, data support is provided for the on-network training of nondestructive testing and evaluation by the film digital management system. The film digital management system comprises digital nondestructive testing DR equipment, film scanning digital equipment and a technical service platform database, wherein the technical service platform database comprises a typical defect film library, a nondestructive testing expert intelligence library and a training student talent library. The online training method for film evaluation supports the online transmission and sharing of digital films with typical defects to other film evaluation personnel, and realizes online communication of film evaluation. However, the management system uses the film for detection, which is not favorable for storage and unified management of the stored film.
The management system based on DR detection provided by the embodiment of the invention can be used for acquiring the image to be detected through the DR detection module to realize rapid imaging, then transmitting the image to be detected to the image analysis module through the image transmission module, automatically analyzing the image by the image analysis module and then storing the image to the image storage module, and the image analysis module can be used for realizing rapid judgment of the image to be detected and realizing uniform management of the image to be detected. The whole system can form a complete data chain for the image to be detected, guarantee the validity and the practicability of data, form a management system integrating image collection, image processing and image storage, and save the space for storing the film.
Drawings
In order to more clearly illustrate the technical solutions in the present disclosure, the drawings needed to be used in some embodiments of the present disclosure will be briefly described below, and it is apparent that the drawings in the following description are only drawings of some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art according to the drawings. Furthermore, the drawings in the following description may be regarded as schematic diagrams and are not intended to limit the actual size of products, the actual flow of methods, and the like, involved in the embodiments of the present disclosure.
FIG. 1 is a block diagram of a management system based on DR detection in accordance with some embodiments of the present disclosure;
FIG. 2 is another block diagram of a management system based on DR detection in some embodiments of the present disclosure;
FIG. 3 is a block diagram of an image analysis module in accordance with some embodiments of the present disclosure;
FIG. 4 is a block diagram of a comparison module in accordance with some embodiments of the present disclosure;
fig. 5 is a flow chart of a management method based on DR detection in some embodiments according to the present disclosure.
Detailed Description
Technical solutions in some embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided by the present disclosure belong to the protection scope of the present disclosure.
Throughout the specification and claims, the term "comprising" is to be interpreted in an open, inclusive sense, i.e., as "including, but not limited to," unless the context requires otherwise. In the description herein, the terms "one embodiment," "some embodiments," "an example embodiment," "an example" or "some examples" or the like are intended to indicate that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the disclosure. The schematic representations of the above terms are not necessarily referring to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be included in any suitable manner in any one or more embodiments or examples.
Example embodiments are described herein with reference to cross-sectional and/or plan views as idealized example figures. In the drawings, the thickness of layers and regions are exaggerated for clarity. Variations from the shapes of the illustrations as a result, for example, of manufacturing techniques and/or tolerances, are to be expected. Thus, the exemplary embodiments should not be construed as limited to the shapes of regions illustrated herein but are to include deviations in shapes that result, for example, from manufacturing. For example, an etched region shown as a rectangle will typically have curved features. Thus, the regions illustrated in the figures are schematic in nature and their shapes are not intended to illustrate the actual shape of a region of a device and are not intended to limit the scope of the exemplary embodiments.
The strain clamp is a hardware fitting used for fixing a lead to bear the tension of the lead and hanging the lead to a strain insulator-string group or a tower. At present, strain clamps of power transmission lines of 35kV and above are basically connected in a hydraulic mode, and the quality of crimping of the strain clamps directly influences whether the power transmission lines can safely operate. Faults caused by process defects in the crimping process of the wire clamp occur occasionally in recent years, great hidden dangers are brought to safe operation of a circuit, and in order to guarantee safe and stable operation of a power grid, the crimping quality of the strain clamp needs to be detected.
At present, the DR detection technology can be used for detecting the crimping quality of the strain clamp. Utilize DR to detect the crimping department of strain clamp to detect, obtain fastener inner structure and density image, can judge whether there is the defect in crimping department according to waiting to detect the image, convenient and fast, and then can judge whether qualified in use of strain clamp. However, a large amount of digital data does not form a complete data chain, the validity and the practicability of the data cannot be guaranteed, most of the data exist independently, and the due value of the data is not thoroughly exerted, so that the data islanding condition is serious.
In view of the foregoing problems, an embodiment of the present invention provides a management system based on DR detection, as shown in fig. 1, the system includes: the system comprises a DR detection module 1, an image transmission module 2, an image analysis module 3 and an image storage module 4 which are connected in sequence.
In some embodiments, the DR detection module 1 is configured to obtain an image to be detected of a workpiece to be detected by using X-rays; the image transmission module 2 is used for transmitting the image to be detected obtained by the DR detection module 1 to the image analysis module 3; the image analysis module 3 is used for analyzing the image to be detected and determining whether the image to be detected is qualified or not so as to determine whether the workpiece to be detected is qualified or not; the image storage module 4 is used for storing the image to be detected analyzed by the image analysis module 3.
In some examples, the workpiece to be inspected may be a strain clamp, for example. The DR detection module 1 can detect the crimping position of the strain clamp by adopting X rays so as to obtain an image to be detected.
In some examples, the image to be detected includes a picture to be detected and picture information.
The present invention does not limit the specific content of the picture information. For example, the picture information may include a shooting location, a shooting time, information of a person who shot the picture, and the like.
In some examples, the image transmission module 2 may transmit data to the image analysis module 3 through three ways, namely, RS-422 serial port, EIA-641, and ethernet.
Generally, the evaluation of the image to be detected is performed manually, so that detection personnel are required to master professional knowledge related to the crimping of the hardware of the power transmission line and the X-ray detection, and the requirement on the detection personnel is high. However, at present, professional technicians are in short supply, field testers have different professional literacy, the phenomena of wrong judgment and missed judgment are serious, and accidents are easy to occur.
Meanwhile, the traditional evaluation of the image to be detected is realized by shooting a film on the strain clamp and then manually detecting the film. This results in more and more films being taken, which is not conducive to data management and analysis if manual inspection is performed. Moreover, since the film has a certain volume, a large amount of space is required to store the film, which wastes space.
The invention automatically identifies whether the image to be detected has defects through the image analysis module 3, thereby improving the detection precision and the detection efficiency. Meanwhile, the image analysis module 3 can avoid using a film for detection, and the space for storing the film is saved.
In some embodiments, the image storage module 4 includes a qualified area and an unqualified area, the image to be detected which is analyzed by the image analysis module 3 and determined to be qualified is stored in the qualified area of the image storage module 4, and the unqualified image to be detected is marked and stored in the unqualified area of the image storage module 4, and then the next secondary processing is performed.
The management system based on DR detection provided in the embodiment of the invention obtains the image to be detected through the DR detection module 1 to realize rapid imaging, then transmits the image to be detected to the image analysis module 3 through the image transmission module 2, and stores the image to be detected to the image storage module 4 after the image analysis module 3 automatically analyzes the image, and the image analysis module 3 can realize rapid judgment of the image to be detected, thereby realizing uniform management of the image to be detected. The whole system can form a complete data chain for the image to be detected, guarantee the validity and the practicability of data, form a management system integrating image collection, image processing and image storage, and save the space for storing the film.
In some embodiments, as shown in fig. 2, the system includes an in-situ monitoring layer and a cloud platform control layer. The DR detection module 1 and the image transmission module 2 are arranged on a field monitoring layer, and the image transmission module 2, the image analysis module 3 and the image storage module 4 are arranged on a cloud platform control layer.
Like this, the system can with the waiting image of examining that DR detection module 1 detected, upload to the cloud platform control layer through image transmission module 2, the analysis and the storage of waiting to examine the image are all gone on in the high in the clouds, realize the high in the clouds storage and the high in the clouds sharing of data.
In some examples, as shown in fig. 2, the system further comprises: and an image retrieval module 5. The image retrieval module 5 is connected with the image storage module 4 and is used for retrieving image data information in the image storage module 4.
Therefore, related workers can call the image to be detected stored in the image storage module 4 through the cloud platform control layer at any time and any place, so that remote reading of data is realized, and the system becomes a networked and remote management system.
For example, can adopt hardware equipment such as removal end or PC end to call through the image and read module 5 and show image data information in hardware equipment, can realize the high in the clouds storage and the high in the clouds of data like this and call, and the relevant staff of being convenient for looks up.
In some embodiments, as shown in fig. 2, the system further comprises: a report generation module 6. The report generation module 6 is connected with the image storage module 4 and is used for generating an electronic report according to the data in the image storage module 4.
Therefore, the system can automatically generate the electronic report according to the image data information stored in the image storage module 4, avoid manually writing the report, save time and labor and improve the efficiency of the report.
Illustratively, hardware equipment such as a mobile terminal or a PC terminal can be used to display the electronic report through a display screen, which is convenient for the relevant staff to check.
For example, the electronic report may be a defect detection and identification report of the strain clamp, which includes information such as the qualification rate of the strain clamp, and is used to detect whether the strain clamp is qualified for use, so as to know the qualification rate of the workpiece.
In some examples, as shown in fig. 2, the system further comprises: and a template storage module 7. The template storage module 7 is connected to the report generating module 6 and is used for providing the report generating module 6 with a template for generating an electronic report.
Illustratively, a uniform strain clamp defect detection identification report template is stored in the template storage module 7.
The content of the strain clamp defect detection and identification report template is not limited, and the strain clamp defect detection and identification report template can be selected and set according to actual needs.
For example, the strain clamp defect detection and identification report template includes statistics on strain clamp yield. Therefore, the electronic report can be directly generated according to the template, manual report writing is avoided, and the speed is improved.
In some examples, as shown in fig. 2, the system further comprises: an electronic signature module 8. The electronic signature module 8 is connected to the report generation module 6 and is configured to provide an electronic signature for the electronic report generated by the report generation module 6.
For example, after the electronic report is displayed by hardware equipment such as a mobile terminal or a PC terminal, the signature of the relevant staff is realized by the electronic signature module 8, the paper version report does not need to be printed, and the paper version report does not need to be signed, so that paperless operation is realized, and meanwhile, the time in the file transmission process can be saved, or the file loss is avoided.
In some embodiments, as shown in fig. 3, the image analysis module 3 comprises: a receiving module 31, a comparing module 32 and an output module 33. The receiving module 31 is used for receiving the image to be detected transmitted by the image transmission module 2; the comparison module 32 is connected with the receiving module 31 and is used for comparing and analyzing the image to be detected; the output module 33 is connected to the comparison module 32, and is configured to output a corresponding result according to the analysis performed by the comparison module 32.
In some examples, the comparison module 32 compares the image to be detected with defect images stored in the comparison module 32 to identify crimp defects at the strain clamp crimp.
According to common defects of the strain clamp, the defect types are determined to be six defect types including burrs of the steel anchor pipe, deformation of the steel anchor pipe, lifting of a lantern from a steel core, non-pressing of an aluminum strand at the air-pressing end part of an aluminum pipe at the steel anchor pipe and non-pressing of the aluminum pipe at the groove of the steel anchor, each defect type can also comprise a classification type, and different defect types can also be set according to a specific region, a specific power transmission line or a specific strain clamp crimping batch.
In some examples, as shown in fig. 4, the comparison module 32 includes: an acquisition module 321, a recognition module 322, a classification module 323, a gallery module 324, and a learning module 325.
In some examples, the acquisition module 321 is configured to acquire defect image information of the workpiece to be detected; the identification module 322 is connected to the acquisition module 321, and is configured to identify a defect type of the defect image information; the classification module 323 is connected with the identification module 322 and is used for classifying the identified defect image information; the gallery module 324 is connected with the classification module 323 and used for establishing a corresponding defect image gallery according to the defect type; the learning module 325 is connected to the gallery module 324, and is configured to learn a defect image gallery established according to the defect type to obtain an identification capability of the corresponding category defect.
Illustratively, different defect image libraries are created based on different types of defects.
For example, the learning module 325 may put a library of defect images into models for training, thereby generating trained models to identify various types of defects.
The embodiment of the invention also provides a management method for the management system based on DR detection, which is implemented by utilizing any one of the above embodiments.
The system comprises: the system comprises a DR detection module 1, an image transmission module 2, an image analysis module 3 and an image storage module 4 which are connected in sequence.
The method comprises the following steps: s100 to S400.
And S100, obtaining an image to be detected of the workpiece to be detected by adopting X rays.
S200, transmitting the image to be detected obtained by the DR detection module 1 to an image analysis module 3.
S300, analyzing the image to be detected, and determining whether the image to be detected is qualified or not so as to determine whether the workpiece to be detected is qualified or not.
And S400, storing the image to be detected after being analyzed by the image analysis module 3.
The beneficial effects that can be achieved by the management method for a management system based on DR detection according to any one of the embodiments of the present invention are the same as those achieved by the management system based on DR detection according to some embodiments, and are not repeated herein.
Finally, the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting, and other modifications or equivalent substitutions made by the technical solutions of the present invention by those of ordinary skill in the art should be covered within the scope of the claims of the present invention as long as they do not depart from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A management system based on DR detection is characterized in that:
the system comprises: the DR detection module, the image transmission module, the image analysis module and the image storage module are sequentially connected;
the DR detection module is used for obtaining an image to be detected of the workpiece to be detected by adopting X rays;
the image transmission module is used for transmitting the image to be detected obtained by the DR detection module to the image analysis module;
the image analysis module is used for analyzing the image to be detected and determining whether the image to be detected is qualified or not so as to determine whether the workpiece to be detected is qualified or not;
the image storage module is used for storing the image to be detected analyzed by the image analysis module.
2. The DR detection-based management system of claim 1, wherein the system comprises an on-site monitoring layer and a cloud platform control layer;
the DR detection module and the image transmission module are arranged on the on-site monitoring layer, and the image transmission module, the image analysis module and the image storage module are arranged on the cloud platform control layer.
3. The DR detection-based management system of claim 2 wherein said system further comprises:
and the image retrieval module is connected with the image storage module and is used for retrieving the image data information in the image storage module.
4. The DR detection-based management system of claim 1 wherein said system further comprises:
and the report generation module is connected with the image storage module and used for generating an electronic report according to the data in the image storage module.
5. The DR detection-based management system of claim 4, wherein the system further comprises:
and the template storage module is connected with the report generation module and is used for providing a template for generating the electronic report for the report generation module.
6. The DR detection-based management system of claim 4, wherein the system further comprises:
and the electronic signature module is connected with the report generating module and used for providing an electronic signature for the electronic report generated by the report generating module.
7. The DR detection-based management system of claim 1 wherein said image analysis module comprises:
the receiving module is used for receiving the image to be detected transmitted by the image transmission module;
the comparison module is connected with the receiving module and is used for comparing and analyzing the image to be detected;
and the output module is connected with the comparison module and used for outputting a corresponding result according to the analysis of the comparison module.
8. The DR detection-based management system of claim 7 wherein said comparing module comprises:
the acquisition module is used for acquiring defect image information of the workpiece to be detected;
the identification module is connected with the acquisition module and used for identifying the defect type of the defect image information;
the classification module is connected with the identification module and is used for classifying the identified defect image information;
the image library module is connected with the classification module and used for establishing a corresponding defect image library according to the defect type;
and the learning module is connected with the gallery module and used for learning according to a defect image gallery established by the defect type so as to obtain the identification capability of the corresponding category defects.
9. The DR detection-based management system of claim 1,
the image to be detected comprises a picture to be detected and picture information.
10. A management method using a management system based on DR detection according to claims 1-8,
the system comprises: the DR detection module, the image transmission module, the image analysis module and the image storage module are sequentially connected;
the method comprises the following steps:
obtaining an image to be detected of a workpiece to be detected by adopting X rays;
transmitting the image to be detected obtained by the DR detection module to the image analysis module;
analyzing the image to be detected to determine whether the image to be detected is qualified or not so as to determine whether the workpiece to be detected is qualified or not;
and storing the image to be detected analyzed by the image analysis module.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201846367U (en) * | 2010-10-21 | 2011-05-25 | 北京洛克斯科技发展有限公司 | System utilizing work station to store and share medical images and reports |
| CN109685761A (en) * | 2018-11-08 | 2019-04-26 | 宁波送变电建设有限公司甬城配电网建设分公司 | A kind of power cable defect inspection method and its detection system based on cloud platform |
| CN111539923A (en) * | 2020-04-17 | 2020-08-14 | 西安数合信息科技有限公司 | Digital ray detection method and system for weld defects and server |
| CN111709931A (en) * | 2020-06-16 | 2020-09-25 | 四川赛康智能科技股份有限公司 | Automatic acquisition method and system for strain clamp defect detection and identification report |
| CN111751390A (en) * | 2020-06-08 | 2020-10-09 | 洛阳中信成像智能科技有限公司 | Industrial CT image analysis automatic interaction system and use method thereof |
| CN112666189A (en) * | 2020-12-15 | 2021-04-16 | 河南九域恩湃电力技术有限公司 | Strain clamp detection device and method based on DR detection |
| CN113052819A (en) * | 2021-03-25 | 2021-06-29 | 贵州电网有限责任公司 | Circuit defect picture acquisition and analysis system and acquisition and analysis method |
-
2021
- 2021-08-25 CN CN202110983616.5A patent/CN113706500A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201846367U (en) * | 2010-10-21 | 2011-05-25 | 北京洛克斯科技发展有限公司 | System utilizing work station to store and share medical images and reports |
| CN109685761A (en) * | 2018-11-08 | 2019-04-26 | 宁波送变电建设有限公司甬城配电网建设分公司 | A kind of power cable defect inspection method and its detection system based on cloud platform |
| CN111539923A (en) * | 2020-04-17 | 2020-08-14 | 西安数合信息科技有限公司 | Digital ray detection method and system for weld defects and server |
| CN111751390A (en) * | 2020-06-08 | 2020-10-09 | 洛阳中信成像智能科技有限公司 | Industrial CT image analysis automatic interaction system and use method thereof |
| CN111709931A (en) * | 2020-06-16 | 2020-09-25 | 四川赛康智能科技股份有限公司 | Automatic acquisition method and system for strain clamp defect detection and identification report |
| CN112666189A (en) * | 2020-12-15 | 2021-04-16 | 河南九域恩湃电力技术有限公司 | Strain clamp detection device and method based on DR detection |
| CN113052819A (en) * | 2021-03-25 | 2021-06-29 | 贵州电网有限责任公司 | Circuit defect picture acquisition and analysis system and acquisition and analysis method |
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