CN115830598A - Tracing confirmation method, system, equipment and medium for standard equipment - Google Patents
Tracing confirmation method, system, equipment and medium for standard equipment Download PDFInfo
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- CN115830598A CN115830598A CN202211606660.5A CN202211606660A CN115830598A CN 115830598 A CN115830598 A CN 115830598A CN 202211606660 A CN202211606660 A CN 202211606660A CN 115830598 A CN115830598 A CN 115830598A
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Abstract
The invention discloses a tracing confirmation method, a tracing confirmation system, equipment and a tracing confirmation medium for standard equipment, wherein the tracing confirmation method comprises the following steps: acquiring a source tracing certificate digitized image of standard equipment, and segmenting the source tracing certificate digitized image to obtain a digitized image area; performing text recognition on the digital image area to obtain structured data of the traced standard equipment; and (4) establishing an audit standard database, and comparing the structured data with the audit standard database to obtain a source tracing confirmation result. The invention provides a tracing confirmation method for standard equipment, which does not need manual operation and can effectively solve the problems of low efficiency, high error rate and the like of a manual comparison mode; and by adopting the technology of semantic segmentation and the like, a structured standard auditing database is constructed, and the automatic confirmation of the tracing result and the detailed output of the abnormity can be quickly realized.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to a tracing confirmation method, a tracing confirmation system, tracing confirmation equipment and tracing confirmation media for standard equipment.
Background
According to the related standard requirements of a traceability confirmation method S-CL01-G002 measuring source requirement of a measuring result for standard equipment and the like, traceability result confirmation is an important link in traceability of a measuring standard quantity value and is a necessary means for ensuring the measuring standard quantity value to be accurate and reliable. At present, standard traceability verification/calibration certificates/reports issued by a superior technical organization are all paper or PDF electronic documents, and the carried data information is non-digital. After receiving the corresponding certificate/report, the standard use maintainer needs to manually extract data and compare relevant information to analyze and confirm the validity of the tracing result and the quality state of the standard equipment reflected by the tracing result. However, the manual comparison method has the problems of low efficiency, high error rate and the like.
Based on the above problems, how to improve the efficiency and accuracy of source tracing result confirmation is a technical problem which needs to be solved urgently at present.
Disclosure of Invention
The technical problem to be solved by the application is that the traceability confirmation methods for standard devices in the prior art are all manual comparison, and are low in efficiency and high in error rate.
The invention is realized by the following technical scheme:
the invention provides a source tracing confirmation method for standard equipment in a first aspect, which comprises the following steps:
s1, obtaining a source tracing certificate digital image of standard equipment, and segmenting the source tracing certificate digital image to obtain a digital image area;
s2, performing text recognition on the digital image area to obtain structured data of the traced standard equipment;
and S3, establishing an audit standard database, and comparing the structured data with the audit standard database to obtain a tracing confirmation result.
In the technical scheme, the digitized image area with digitized information is obtained by segmenting the digitized image of the traceability certificate, and the text recognition is carried out on the digitized image area, so that the structured data can be obtained. And comparing the structured data with the auditing standard database to obtain a traceability result of the standard equipment, and confirming the traceability result so as to confirm the validity of the traceability result and the quality state of the standard equipment reflected by the traceability result. According to the technical scheme, manual identification and confirmation are not needed, the whole process is automatically carried out, and the source tracing result confirmation efficiency and accuracy are improved.
In an alternative embodiment, a source certificate digitized image of a standard device is obtained, and a method for segmenting the source certificate digitized image is as follows:
constructing a traceability result database, acquiring traceability device data of standard equipment, and comparing the traceability device data with the traceability result database;
if the tracing equipment data does not exist in the tracing result database, manually segmenting the digitized image of the tracing certificate;
and if the tracing equipment data exists in the tracing result database, automatically segmenting the digitized image of the tracing certificate.
In an alternative embodiment, the method of automatic segmentation is as follows:
performing feature extraction on the digital image of the tracing certificate by adopting a convolutional neural network to obtain digital features;
and performing semantic segmentation on the digitized image of the source tracing certificate according to the digitized features to obtain a digitized image area.
In an alternative embodiment, the semantic segmentation method is as follows:
dividing the digitized image of the tracing certificate into a plurality of independent and mutually unrelated image areas;
performing text detection on the plurality of image areas to obtain position coordinate information of the text in the digital image;
and determining the digitalized image area according to the relevance of the position coordinate information and the plurality of image areas.
In an alternative embodiment, the method of constructing the database of audit criteria is as follows:
establishing a static audit standard and a dynamic audit standard through a verification procedure, a calibration standard and a technical file;
the static audit standard at least comprises periodic information audit, technical parameter validity audit and normalized audit of traced equipment verification/calibration/test data normalization audit;
the dynamic auditing standard at least comprises source tracing equipment uncertainty auditing and source tracing equipment verification/calibration/detection result verification auditing.
In an alternative embodiment, the method for comparing the structured data with the database of audit standards is as follows:
comparing the technical index requirements and the technical index results in the structured data by taking the entity name, the application range and the technical index in the auditing standard database as indexes;
and if the technical index result is within the range of the technical index requirement, judging that the standard equipment is qualified, otherwise, judging that the standard equipment is unqualified.
A second aspect of the present application provides a traceability system for standard devices, comprising:
the image segmentation module is used for acquiring a source tracing certificate digitized image of standard equipment, and segmenting the source tracing certificate digitized image to obtain a digitized image area;
the text recognition module is used for performing text recognition on the digital image area to obtain structured data of the traced standard equipment;
and the source tracing result confirmation module is used for constructing an audit standard database, and comparing the structured data with the audit standard database to obtain a source tracing confirmation result.
In an alternative embodiment, the image segmentation module comprises a manual segmentation unit, an automatic segmentation unit;
the manual segmentation unit is used for manually segmenting the digitized image of the traceability certificate when the traceability device data does not exist in the traceability result database;
the automatic segmentation unit is used for automatically segmenting the digitized image of the traceability certificate when the traceability device data exists in the traceability result database.
A third aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements a tracing confirmation method for standard devices when executing the program.
A fourth aspect of the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a traceability validation method for standard devices.
Compared with the prior art, the application has the following advantages and beneficial effects:
1. the invention provides a tracing confirmation method for standard equipment, which does not need manual operation and can effectively solve the problems of low efficiency, high error rate and the like of a manual comparison mode;
2. by adopting the technology of semantic segmentation and the like, a structured standard auditing database is constructed, and the automatic confirmation of the tracing result and the detailed output of the abnormity can be quickly realized.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and that for those skilled in the art, other related drawings can be obtained from these drawings without inventive effort. In the drawings:
fig. 1 is a flowchart of a source tracing confirmation method for standard equipment according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a traceability system for standard devices according to a second embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Example 1
Fig. 1 is a flowchart of a source tracing confirmation method for standard devices according to embodiment 1 of the present invention, and as shown in fig. 1, the source tracing confirmation method includes the following steps:
s1, obtaining a source tracing certificate digitized image, and dividing the source tracing certificate digitized image into a plurality of parts to obtain a plurality of digitized image areas.
Further, a method for obtaining a source certificate digitized image of standard equipment and segmenting the source certificate digitized image is as follows:
s11, constructing a traceability result database, acquiring traceability device data of standard devices, and comparing the traceability device data with the traceability result database.
And S12, if the traceability device data does not exist in the traceability result database, manually segmenting the traceability certificate digital image.
The manual segmentation mode is suitable for the first digital image recognition of the traceability certificates issued by the same traceability mechanism aiming at the same equipment, and after the manual segmentation is carried out, the segmentation result is used as a training set of the convolutional neural network and the semantic segmentation to train the training set so as to improve the segmentation precision.
And S13, if the tracing equipment data exist in the tracing result database, automatically segmenting the digitized image of the tracing certificate.
The automatic segmentation is suitable for the subsequent digital image recognition of the tracing certificate issued by the same tracing organization aiming at the same type of equipment.
Further, the automatic segmentation method comprises the following steps:
and S131, performing feature extraction on the digitized image of the tracing certificate by adopting a convolutional neural network to obtain digitized features.
The character information in the digitized image of the tracing certificate is subjected to feature extraction by adopting a convolutional neural network to obtain the digitized features of the characters, so that the recognition success rate is improved for subsequent character recognition
And S132, performing semantic segmentation on the digitized image of the traceability certificate according to the digitized features to obtain a digitized image area.
Further, the semantic segmentation method comprises the following steps:
and step S1321, dividing the digitized image of the traceability certificate into a plurality of independent and unrelated image areas.
The dividing principle is that information carried by each regional digital image is relatively independent and not related so as to improve the data structuring degree.
And step S1322, text detection is carried out on the plurality of image areas to obtain position coordinate information of the text in the digital image.
And step S1323, determining a digitized image area according to the position coordinate information and the relevance of the image areas.
The Chinese semantic analysis not only includes the essence of things, but also includes the relationship between things. Semantic analysis describes things and logical relations thereof, and constructs a calculation model by identifying information and relations thereof contained in a text, so that a machine can understand human language. In the internet era, the data volume is greatly increased, and technologies such as massive text data, information extraction, information classification and the like in the data era are continuously improved.
The required detection area is determined as the digitized image area by semantic correlation between the Chinese text on the position coordinates and the Chinese text of the plurality of image areas. For example, the characters in the multiple image areas of the traceability standard device are: "basic information of measurement standard-standard validity period-2023 year 11 month 21 day", after carrying out standardization processing based on semantic segmentation, the characters obtained are: "basic information on measurement criteria-validity period-11/21/2023", and a plurality of image areas including the above-described characters are taken as digitized image areas.
And S2, performing text recognition on the digital image area to obtain structured data of the traced standard equipment.
Text recognition is carried out on characters in the digital image area obtained through the convolutional neural network and the semantic segmentation in the step S1, and structured data obtained after the text recognition is used as training data of the convolutional neural network and the semantic segmentation, so that the segmentation precision is improved.
And S3, establishing an audit standard database, and comparing the structured data with the audit standard database to obtain a tracing confirmation result.
Further, the method for constructing the audit standard database comprises the following steps: and constructing a static auditing standard and a dynamic auditing standard through verification procedures, calibration standards and technical files.
The static auditing standard is mainly suitable for data which can be directly compared to obtain a compliance conclusion, and generally comprises auditing of periodic information such as a source tracing standard validity period, validity information of main technical parameters such as a source tracing standard maximum allowable error/uncertain measurement and the like, and data normalization problems of verification/calibration/test of the traced equipment.
The dynamic auditing standard is mainly suitable for auditing data which can only obtain a conformity conclusion after operation, and generally comprises the uncertainty evaluation of the traced equipment, the verification/calibration/detection result confirmation of the traced equipment and the like.
In order to realize the comparison between the conformity conclusion obtained by direct comparison and the conformity conclusion obtained by operation, a static auditing standard and a dynamic auditing standard are constructed by verification rules, calibration standards and technical files.
The verification rule is used as a measuring performance basis for verifying a measuring instrument and is a technical document with national law qualification; the calibration specification is 'national metrology calibration specification writing rule (JJF 1071-2010)', which is released by the State administration of quality supervision, inspection and quarantine at 11/5/2010 and begins to be implemented at 5/2011; besides the verification procedures and the calibration standards, other technical documents construct static audit standards and dynamic audit standards according to the application ranges, technical indexes and technical index requirements contained in the technical documents.
Furthermore, the auditing standard database at least comprises an application range, technical indexes and technical index requirements. The application range is the chapter title of each part in the traceability certificate, and the technical index is the specific technical index name under the part. Such as: the effective date of the traceability standard device is 2022, 12 and 31 days, the audit rule can be defined as: measurement standard basic information-validity period-12 months and 31 days 2022, wherein the application range is as follows: basic information of the measurement standard, technical indexes: the effective period, the technical index requirement: 12/31/2022.
Further, the static audit standard at least comprises periodic information audit, technical parameter validity audit and normalized audit of the traced equipment verification/calibration/test data.
Further, the dynamic auditing standard at least comprises traceability equipment uncertainty auditing and traceability equipment verification/calibration/detection result verification auditing.
Further, the method for comparing the structured data with the database of the audit standard is as follows:
and S34, comparing the technical index requirements and the technical index results in the structured data by taking the entity name, the application range and the technical index in the auditing standard database as indexes.
And comparing the technical index requirement with the technical index result by taking the application range and the technical index of the audit standard database and the entity name and the technical index of the audit standard database as indexes.
And S35, judging that the standard equipment is qualified if the technical index result is within the range of the technical index requirement, otherwise, judging that the standard equipment is unqualified.
When all technical indexes are qualified, the source tracing confirms that the conclusion is qualified, and the value can be developed for use; when any index is unqualified, the source tracing confirms that the conclusion is unqualified, and the standard can not be used for magnitude transmission.
Example 2
Fig. 2 is a schematic structural diagram of a traceability system for standard devices according to embodiment 2 of the present invention, and as shown in fig. 2, the system includes: an image segmentation module 11, a text recognition module 12 and a tracing result confirmation module 13.
The image segmentation module 11 is configured to obtain a source certificate digitized image of the standard device, and segment the source certificate digitized image to obtain a digitized image area.
The text recognition module 12 is configured to perform text recognition on the digitized image area to obtain structured data of the traced standard device.
The traceability result confirmation module 13 is configured to construct an audit standard database, and compare the structured data with the audit standard database to obtain a traceability confirmation result.
In an alternative embodiment, the image segmentation module 11 comprises a manual segmentation unit and an automatic segmentation unit.
And the manual segmentation unit is used for manually segmenting the digitized image of the traceability certificate when the traceability device data does not exist in the traceability result database.
And the automatic segmentation unit is used for automatically segmenting the digitized image of the traceability certificate when the traceability equipment data exists in the traceability result database.
Example 3
Fig. 3 is a schematic structural diagram of an electronic device according to embodiment 3 of the present invention, as shown in fig. 3, the electronic device includes a processor 21, a memory 22, an input device 23, and an output device 24; the number of the processors 21 in the computer device may be one or more, and one processor 21 is taken as an example in fig. 3; the processor 21, the memory 22, the input device 23 and the output device 24 in the electronic apparatus may be connected by a bus or other means, and the connection by the bus is exemplified in fig. 3.
The memory 22, which is a computer-readable storage medium, may be used to store software programs, computer-executable programs, and modules. The processor 21 executes various functional applications and data processing of the electronic device by executing the software programs, instructions and modules stored in the memory 22, that is, implements the source tracing confirmation method for standard devices in embodiment 1.
The memory 22 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 22 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 22 may further include memory located remotely from the processor 21, which may be connected to the electronic device through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 23 may be used to receive an id and a password, etc. input by the user. The output device 24 is used for outputting the distribution network page.
Example 3
Embodiment 3 of the present invention further provides a computer-readable storage medium, where the computer-executable instructions, when executed by a computer processor, are configured to implement the method for source tracing validation for standard devices as provided in embodiment 1.
The storage medium containing the computer-executable instructions provided in the embodiments of the present invention is not limited to the method operations provided in embodiment 1, and may also perform related operations in a traceability confirmation method for standard devices provided in any embodiment of the present invention.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A tracing confirmation method for standard equipment is characterized by comprising the following steps:
s1, obtaining a source tracing certificate digital image of standard equipment, and segmenting the source tracing certificate digital image to obtain a digital image area;
s2, performing text recognition on the digital image area to obtain structured data of the traced standard equipment;
and S3, establishing an audit standard database, and comparing the structured data with the audit standard database to obtain a tracing confirmation result.
2. The method for source tracing validation of standard equipment according to claim 1, wherein a source tracing certificate digitized image of standard equipment is obtained, and the method for segmenting the source tracing certificate digitized image is as follows:
constructing a traceability result database, acquiring traceability device data of standard equipment, and comparing the traceability device data with the traceability result database;
if the tracing equipment data does not exist in the tracing result database, manually segmenting the digitized image of the tracing certificate;
and if the tracing equipment data exists in the tracing result database, automatically segmenting the digitized image of the tracing certificate.
3. The method for tracing and confirming standard equipment according to claim 2, wherein the method for automatically segmenting is as follows:
performing feature extraction on the digital image of the tracing certificate by adopting a convolutional neural network to obtain digital features;
and performing semantic segmentation on the digitized image of the source tracing certificate according to the digitized features to obtain a digitized image area.
4. The method for tracing and validating standard equipment according to claim 3, wherein the semantic segmentation method comprises the following steps:
dividing the digitized image of the tracing certificate into a plurality of independent and mutually unrelated image areas;
performing text detection on the plurality of image areas to obtain position coordinate information of the text in the digital image;
determining a digitized image area according to the correlation between the position coordinate information and the plurality of image areas.
5. The method for source-tracing validation of standard equipment according to claim 1, wherein the method for constructing the audit standard database is as follows:
establishing a static auditing standard and a dynamic auditing standard through verification procedures, calibration standards and technical files;
the static auditing standard at least comprises periodic information auditing, technical parameter validity auditing and source tracing equipment verification/calibration/test data normative auditing;
the dynamic auditing standard at least comprises source tracing equipment uncertainty auditing and verified/calibrated/detected result verification auditing.
6. The method as claimed in claim 5, wherein the method for comparing the structured data with the database of the audit standard is as follows:
comparing the technical index requirements and the technical index results in the structured data by taking the entity name, the application range and the technical index in the auditing standard database as indexes;
and if the technical index result is within the range of the technical index requirement, judging that the standard equipment is qualified, otherwise, judging that the standard equipment is unqualified.
7. A traceability validation system for a standard device, comprising:
the image segmentation module is used for acquiring a source tracing certificate digitized image of standard equipment, and segmenting the source tracing certificate digitized image to obtain a digitized image area;
the text recognition module is used for performing text recognition on the digital image area to obtain structured data of the traced standard equipment;
and the source tracing result confirmation module is used for constructing an audit standard database, and comparing the structured data with the audit standard database to obtain a source tracing confirmation result.
8. The traceability confirmation system for standard equipment, as claimed in claim 7, wherein the image segmentation module comprises a manual segmentation unit, an automatic segmentation unit;
the manual segmentation unit is used for manually segmenting the digitized image of the traceability certificate when the traceability device data does not exist in the traceability result database;
the automatic segmentation unit is used for automatically segmenting the digitized image of the traceability certificate when the traceability device data exists in the traceability result database.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement a traceability confirmation method for standard devices as claimed in claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements a traceability validation method for standard devices as claimed in claims 1 to 6.
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| CN202211606660.5A CN115830598A (en) | 2022-12-13 | 2022-12-13 | Tracing confirmation method, system, equipment and medium for standard equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110171319A (en) * | 2019-06-03 | 2019-08-27 | 国网四川省电力公司电力科学研究院 | A kind of three-phase standard AC charging pile that can be used for tracing to the source |
-
2022
- 2022-12-13 CN CN202211606660.5A patent/CN115830598A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110171319A (en) * | 2019-06-03 | 2019-08-27 | 国网四川省电力公司电力科学研究院 | A kind of three-phase standard AC charging pile that can be used for tracing to the source |
| CN110171319B (en) * | 2019-06-03 | 2024-02-13 | 国网四川省电力公司电力科学研究院 | Three-phase standard alternating-current charging pile capable of being used for tracing |
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