CN115389624B - Sound wave test system for processing - Google Patents
Sound wave test system for processing Download PDFInfo
- Publication number
- CN115389624B CN115389624B CN202211322196.7A CN202211322196A CN115389624B CN 115389624 B CN115389624 B CN 115389624B CN 202211322196 A CN202211322196 A CN 202211322196A CN 115389624 B CN115389624 B CN 115389624B
- Authority
- CN
- China
- Prior art keywords
- processing
- segmentation
- abnormal point
- abnormal
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/181—Segmentation; Edge detection involving edge growing; involving edge linking
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Acoustics & Sound (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Quality & Reliability (AREA)
- Ultra Sonic Daignosis Equipment (AREA)
Abstract
The invention discloses a sound wave test system for processing, which relates to the technical field of sound wave test and solves the technical problems that corresponding abnormal regions cannot be found quickly, abnormal point positions cannot be found out in time by the test system, the distribution of the abnormal point positions is similar to that of the test system, a plurality of different segmentation regions are obtained by segmenting the outline of an integral image according to a preset segmentation template, then sound wave test processing is carried out on the plurality of different segmentation regions in sequence, when the test result is abnormal, the corresponding abnormal point position segmentation regions can be found quickly, the abnormal point positions belonging to the different segmentation regions are subjected to guide analysis in sequence to obtain a plurality of guide factors, repeated parameters of the plurality of segmentation regions are obtained by comparison analysis of the guide factors of the different segmentation regions, when the repeated parameters exceed the preset value, the corresponding problem of corresponding processing equipment is represented, and the problem that the same exists among a plurality of processing plates due to the problem of the processing equipment is avoided.
Description
Technical Field
The invention belongs to the technical field of sound wave testing, and particularly relates to a sound wave testing system for machining.
Background
In the field of panel processing, generally, acoustic wave test processing is required to be carried out on a processing panel, whether abnormal points exist in the processing panel is judged through acoustic wave test parameters, and then the processing panel with the abnormal points is reprocessed;
the invention with the publication number of CN109765269B discloses a sound wave driven blood coagulation testing system, which comprises a hollow glass substrate, an interdigital transducer, a piezoelectric plate, a blood motion reaction tank, a detection electrode and an image acquisition and analysis system, wherein the interdigital electrode is evaporated on the substrate; the piezoelectric plate is arranged on the interdigital electrode; the annular blood reaction tank obtained by cutting through the cutter is bonded with the piezoelectric plate through surface treatment; the detection electrode is fixed on the reaction tank through a fixed spring; by adjusting the position of the bracket, the image acquisition system is ensured to be positioned at a proper position, and the movement condition of blood can be recorded in real time. The invention has the advantages of simple and portable equipment, high integration level, less required samples, lower energy consumption, high reaction efficiency, easy operation and maintenance of open reaction and capability of realizing the detection and analysis of various parameters in the blood coagulation process.
When the acoustic wave test is carried out on the processing plate, due to the fact that the area of the processing plate is too large, when acoustic signals of the processing plate are abnormal, corresponding abnormal regions and abnormal point positions cannot be found quickly, in the test process, if the same abnormal point position distribution problem exists at multiple positions of the surface of the processing plate due to the problem of equipment, the test system cannot find out the problem that the abnormal point positions are distributed similarly in time, and therefore the problem that the corresponding abnormal point positions exist when subsequent panels are processed is caused.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides a sound wave testing system for machining, which is used for solving the technical problems that a corresponding abnormal area cannot be found quickly, and abnormal point positions and the testing system cannot find out that the abnormal point positions are distributed similarly in time.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides a processing acoustic wave testing system, including an image acquisition end, a testing processing center, and a display terminal;
the test processing center comprises a contour acquisition unit, an acoustic wave test unit, a region division unit, an abnormal point location confirmation unit, a marking unit and a point location factor analysis unit;
the image acquisition end is used for acquiring the whole image of the processing panel and transmitting the acquired whole image to the test processing center;
the contour acquisition unit in the test processing center receives the acquired whole image and extracts and processes the edge path of the whole image to obtain the whole image contour of the whole image;
the region dividing unit is used for acquiring the image contour of the whole image, dividing a plurality of regions in the image contour according to the whole image contour to obtain a plurality of different divided regions, and marking the plurality of different divided regions through the marking unit;
the sound wave testing unit is used for carrying out point location sound wave testing processing on different segmentation areas, processing input parameters and feedback parameters to obtain a processing result, carrying out abnormal point location judgment on the tested point location according to the processing result, and transmitting the judged abnormal point location to the abnormal point location confirming unit;
the abnormal point position confirming unit acquires the coordinate parameter of the abnormal point position from the segmentation template according to the judged abnormal point position, and marks the abnormal point position as YC k-i （X k-i ，Y k-i ) Binding a plurality of abnormal point positions belonging to the same segmentation template to generate a binding data packet to be analyzed, and transmitting the binding data packets to be analyzed to a point position factor analysis unit and a display terminal;
the point location factor analysis unit receives a plurality of binding data packets to be analyzed, performs guiding analysis on adjacent abnormal point locations in each binding data packet to be analyzed, obtains guiding factors of the adjacent abnormal point locations, binds the plurality of guiding factors obtained through processing to generate parameter packets to be compared, compares a plurality of different parameter packets to be compared, generates abnormal equipment signals according to processing results, and transmits the abnormal equipment signals to the display terminal.
Preferably, the specific manner of acquiring the overall image contour by the contour acquiring unit is as follows:
transmitting the acquired integral image into a white background template, and acquiring a first combined pattern combined with the white background template;
extracting color parameters in the whole image, modifying the color parameters of the whole image into white background parameters, and modifying the color of the white background template into the color parameters of the corresponding whole image to obtain a second combined pattern;
and carrying out merging analysis according to the first combination pattern and the second combination pattern to obtain color segmentation points, and connecting the color segmentation points to obtain the image outline of the whole image.
Preferably, the specific manner of dividing the plurality of regions by the region dividing unit is as follows:
analyzing the image contour, checking whether the image contour is in a regular polygon shape, if so, directly adopting a segmentation template to segment the image contour, sequentially marking the segmentation areas by a marking unit, and adopting a mark i to mark different segmentation areas;
if the image contour is not in a regular polygon shape, a group of edge turning points are randomly selected, the edge turning points are attached to the edge paths of the segmentation template, the segmentation area of the segmentation template covers the corresponding partial image contour region, the segmentation work of the region is completed, and then the segmentation template is used for sequentially segmenting the image contours of other regions to obtain a plurality of different segmentation regions.
Preferably, the specific way of processing the input parameters and the feedback parameters by the acoustic wave testing unit is as follows:
tagging an input parameter as SR k Marking feedback parameters as HG k Where k represents different test site locations, k =1, 2, … …, n;
by using
Obtaining a processing parameter CL k To process the parameters CL k Comparing with a preset parameter X1 when CL is carried out k If the value is less than X1, generating an abnormal signal, and judging the point position as an abnormal point position through the abnormal signal, otherwise, not generating any signal;
and transmitting the determined abnormal point location to an abnormal point location confirmation unit.
Preferably, the point location factor analysis unit performs guidance analysis on the abnormal point location in a specific manner:
s1, randomly selecting a group of abnormal point positions YC k-i （X k-i ，Y k-i ) Then randomly selecting a group of adjacent abnormal point locations YC j-i （X j-i ，Y j-i ) Where j ∈ k, using
Obtaining corresponding guide factors YZ i ；
S2, processing a plurality of adjacent abnormal point positions in the same mode to obtain a plurality of guiding factors YZ of the segmentation area i Binding a plurality of processed guide factors to generate a parameter package to be compared;
s3, processing the binding data packets to be analyzed in other segmentation areas in sequence, obtaining the guide factors corresponding to the segmentation areas in the mode of the step S1 and the step S2, and generating the parameter packets to be compared belonging to different segmentation areas again;
s4, merging and analyzing parameter packets to be compared belonging to different segmentation areas, and carrying out YZ analysis on a plurality of guide factors i And sequentially comparing to obtain a corresponding repeated parameter CF, comparing the repeated parameter CF with a preset value X2, wherein the specific value of the preset value X2 is drawn by an operator according to experience, when the CF is more than or equal to X2, generating an equipment abnormal signal, and transmitting the equipment abnormal signal to a display terminal, otherwise, not generating any processing signal.
Preferably, the display terminal displays the device abnormal signal and displays the abnormal point positions of the binding data packets to be analyzed, which belong to different partition areas.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of obtaining an overall image of a processing panel, extracting an edge path of the obtained overall image, generating an overall image contour of the overall image according to the extracted edge path, segmenting the overall image contour according to a preset segmentation template to obtain a plurality of different segmentation areas, and sequentially carrying out acoustic test processing on the plurality of different segmentation areas, wherein when a test result is abnormal, a corresponding abnormal point segmentation area can be quickly found, and external operators can conveniently carry out reprocessing;
and then conducting guide analysis on abnormal point positions belonging to different segmentation areas in sequence to obtain a plurality of guide factors, obtaining a plurality of repeated parameters of the segmentation areas according to comparison analysis on the guide factors of the different segmentation areas, and representing that corresponding processing equipment has a corresponding problem when the repeated parameters exceed preset values, so that the problem that the same processing boards exist among a plurality of processing boards due to the problem of the processing equipment is avoided.
Drawings
Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present application provides a processing acoustic wave testing system, which includes an image acquisition end, a testing processing center, and a display terminal;
the output end of the image acquisition end is electrically connected with the input end of the test processing center, and the output end of the test processing center is electrically connected with the input end of the display terminal;
the test processing center comprises a contour acquisition unit, an acoustic wave test unit, a region division unit, an abnormal point location confirmation unit, a marking unit and a point location factor analysis unit;
the area dividing unit is in bidirectional connection with the sound wave testing unit, the output end of the contour acquisition unit is electrically connected with the input end of the area dividing unit, the area dividing unit is in bidirectional connection with the marking unit, the area dividing unit is electrically connected with the input end of the abnormal point location confirming unit, and the abnormal point location confirming unit is electrically connected with the input end of the point location factor analyzing unit;
the image acquisition end is used for acquiring the whole image of the processing panel and transmitting the acquired whole image to the test processing center;
the contour acquisition unit in the test processing center receives the acquired overall image and extracts the edge path of the overall image to obtain the overall image contour of the overall image, wherein the specific mode of extracting is as follows:
transmitting the acquired integral image into a white background template, and acquiring a first combined pattern combined with the white background template;
extracting color parameters in the whole image, modifying the color parameters of the whole image into white background parameters, modifying the color of the white background template into the color parameters of the corresponding whole image, and obtaining a second combined pattern;
and carrying out merging analysis according to the first combination pattern and the second combination pattern to obtain color segmentation points, and connecting the color segmentation points to obtain the image outline of the whole image.
The region dividing unit acquires the image contour of the whole image, divides a plurality of regions in the image contour according to the whole image contour, and marks different divided regions through the marking unit, wherein the specific mode of dividing the plurality of regions is as follows:
analyzing the image contour, checking whether the image contour is in a regular polygon shape, if so, directly adopting a segmentation template to segment the image contour, sequentially marking the segmentation areas by a marking unit, adopting a mark i to mark different segmentation areas, and drawing up the segmentation template by external personnel according to specific parameters;
if the image contour is not in a regular polygon shape, a group of edge turning points are randomly selected, the edge turning points are attached to the edge path of the segmentation template, the segmentation area of the segmentation template covers the corresponding partial image contour area, the segmentation work of the area is completed, and then the segmentation template is used for sequentially segmenting the image contours of other areas to obtain a plurality of different segmentation areas.
The sound wave testing unit is used for carrying out point location sound wave testing processing on different segmentation areas, obtaining a processing result by processing input parameters and feedback parameters, carrying out abnormal point location judgment on a tested point location according to the processing result, and transmitting the judged abnormal point location to the abnormal point location confirming unit, wherein the specific mode of processing the input parameters and the feedback parameters is as follows:
tagging input parameters as SR k Marking feedback parameters as HG k Where k represents different test site locations, k =1, 2, … …, n;
by using
Obtaining a processing parameter CL k To process the parameters CL k Comparing with a preset parameter X1 when CL is carried out k If the value is less than X1, generating an abnormal signal, and judging the point position as an abnormal point position through the abnormal signal, otherwise, not generating any signal;
and transmitting the determined abnormal point location to an abnormal point location confirmation unit.
The abnormal point location confirming unit acquires the coordinate parameter of the abnormal point location from the segmentation template according to the judged abnormal point location, and marks the abnormal point location as YC k-i （X k-i ，Y k-i ) Binding a plurality of abnormal point positions belonging to the same segmentation template to generate a to-be-analyzed sampleBinding data packets, transmitting a plurality of binding data packets to be analyzed to a point location factor analysis unit and a display terminal, and displaying abnormal point locations and corresponding segmentation areas by the display terminal;
the point location factor analysis unit receives a plurality of binding data packets to be analyzed, performs guiding analysis on adjacent abnormal point locations in each binding data packet to be analyzed, acquires guiding factors of the adjacent abnormal point locations, binds the plurality of guiding factors obtained by processing, and generates a parameter packet to be compared, wherein the specific way of guiding analysis is as follows:
s1, randomly selecting a group of abnormal point positions YC k-i （X k-i ，Y k-i ) Then randomly selecting a group of adjacent abnormal point locations YC j-i （X j-i ，Y j-i ) Where j ∈ k, using
Obtaining corresponding guide factors YZ i ；
S2, processing a plurality of adjacent abnormal point positions in the same mode to obtain a plurality of guiding factors YZ of the segmentation area i Binding a plurality of processed guide factors to generate a parameter package to be compared (the parameter package to be compared is marked by a corresponding mark i);
s3, processing the binding data packets to be analyzed in other segmentation areas in sequence, obtaining the guide factors corresponding to the segmentation areas in the mode of the step S1 and the step S2, and generating the parameter packets to be compared belonging to different segmentation areas again;
s4, merging and analyzing parameter packets to be compared belonging to different segmentation areas, and carrying out YZ analysis on a plurality of guide factors i Sequentially comparing to obtain the corresponding repetitive parameters CF (the guide factors YZ therein) i Can be understood as the distribution relation of a plurality of abnormal point positions, when the distribution relation of the plurality of abnormal point positions is consistent, the problem of the equipment for processing can be determined, wherein the repeated parameter is the average value of a plurality of comparison parameters, and the comparison parameter is the coincidence degree parameter between two parameter packets to be compared,and comparing the repeated parameter CF with a preset value X2, wherein the specific value of the preset value X2 is drawn up by an operator according to experience, when the CF is more than or equal to X2, generating an equipment abnormal signal, and transmitting the equipment abnormal signal to the display terminal, otherwise, generating no processing signal.
The display terminal displays the abnormal signals of the equipment, detects the processing equipment when external personnel check the abnormal signals of the equipment, checks abnormal points of the processing equipment, simultaneously displays abnormal point positions of binding data packets to be analyzed, which belong to different segmentation areas, and the external personnel processes the segmentation areas appointed by the processing panel again according to the abnormal point positions.
Part of data in the formula is obtained by removing dimension and taking the value to calculate, and the formula is obtained by simulating a large amount of collected data through software and is closest to a real situation; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or obtained through simulation of a large amount of data.
The working principle of the invention is as follows: the method comprises the steps of obtaining an overall image of a processing panel, extracting an edge path of the obtained overall image, generating an overall image contour of the overall image according to the extracted edge path, segmenting the overall image contour according to a preset segmentation template to obtain a plurality of different segmentation areas, and sequentially carrying out acoustic test processing on the plurality of different segmentation areas, wherein when a test result is abnormal, a corresponding abnormal point segmentation area can be quickly found, and external operators can conveniently carry out reprocessing;
and then conducting guide analysis on abnormal point positions belonging to different segmentation areas in sequence to obtain a plurality of guide factors, obtaining a plurality of repeated parameters of the segmentation areas according to comparison analysis on the guide factors of the different segmentation areas, and representing that corresponding processing equipment has a corresponding problem when the repeated parameters exceed preset values, so that the problem that the same processing boards exist among a plurality of processing boards due to the problem of the processing equipment is avoided.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (2)
1. A sound wave testing system for processing is characterized by comprising an image acquisition end, a testing processing center and a display terminal;
the test processing center comprises a contour acquisition unit, an acoustic wave test unit, a region division unit, an abnormal point location confirmation unit, a marking unit and a point location factor analysis unit;
the image acquisition end is used for acquiring the whole image of the processing panel and transmitting the acquired whole image to the test processing center;
the contour acquisition unit in the test processing center receives the acquired overall image and extracts and processes the edge path of the overall image to obtain the overall image contour of the overall image;
the region dividing unit is used for acquiring the image contour of the whole image, dividing a plurality of regions in the image contour according to the whole image contour to obtain a plurality of different divided regions, and marking the plurality of different divided regions through the marking unit;
the sound wave testing unit is used for carrying out point location sound wave testing processing on different segmentation areas, processing input parameters and feedback parameters to obtain a processing result, carrying out abnormal point location judgment on the tested point location according to the processing result, and transmitting the judged abnormal point location to the abnormal point location confirming unit;
the abnormal point location confirming unit acquires the coordinate parameter of the abnormal point location from the segmentation template according to the judged abnormal point location, and marks the abnormal point location as YC k-i （X k-i ，Y k-i ) Binding a plurality of abnormal point positions belonging to the same segmentation template to generate a binding data packet to be analyzed, and transmitting the binding data packets to be analyzed to a point position factor analysis sheetMeta and display terminals;
the point location factor analysis unit receives a plurality of binding data packets to be analyzed, performs guide analysis on adjacent abnormal point locations in each binding data packet to be analyzed to obtain guide factors of the adjacent abnormal point locations, binds the plurality of guide factors obtained by processing to generate parameter packets to be compared, compares a plurality of different parameter packets to be compared, generates equipment abnormal signals according to processing results, and transmits the equipment abnormal signals to the display terminal;
the specific way of acquiring the overall image contour by the contour acquiring unit is as follows:
transmitting the acquired integral image into a white background template, and acquiring a first combined pattern combined with the white background template;
extracting color parameters in the whole image, modifying the color parameters of the whole image into white background parameters, and modifying the color of the white background template into the color parameters of the corresponding whole image to obtain a second combined pattern;
performing merging analysis according to the first combination pattern and the second combination pattern to obtain color segmentation points, and connecting the color segmentation points to obtain an image outline of the whole image;
the specific mode of the region dividing unit for dividing the regions is as follows:
analyzing the image contour, checking whether the image contour is in a regular polygon shape, if so, directly adopting a segmentation template to segment the image contour, sequentially marking the segmentation areas by a marking unit, and adopting a mark i to mark different segmentation areas;
if the image contour is not in a regular polygon shape, randomly selecting a group of edge turning points, attaching the edge turning points to edge paths of the segmentation template, enabling the segmentation area of the segmentation template to cover a corresponding partial image contour region, completing segmentation work of the region, and sequentially segmenting the image contours of other regions by using the segmentation template to obtain a plurality of different segmentation regions;
the specific way of processing the input parameters and the feedback parameters by the acoustic wave test unit is as follows:
tagging input parameters as SR k Marking feedback parameters as HG k Where k represents different test site locations, k =1, 2, … …, n;
by using
Obtaining a processing parameter CL k To process the parameters CL k Comparing with a preset parameter X1 when CL is carried out k If the value is less than X1, generating an abnormal signal, and judging the point position as an abnormal point position through the abnormal signal, otherwise, not generating any signal;
transmitting the determined abnormal point location to an abnormal point location confirmation unit;
the point location factor analysis unit performs guide analysis on the abnormal point location in a specific manner that:
s1, randomly selecting a group of abnormal point positions YC k-i （X k-i ，Y k-i ) Then randomly selecting a group of adjacent abnormal point locations YC j-i （X j-i ，Y j-i ) Where j ∈ k, using
Obtaining corresponding guide factors YZ i ；
S2, processing a plurality of adjacent abnormal point positions in the same mode to obtain a plurality of guiding factors YZ of the segmentation area i Binding a plurality of guide factors obtained by processing to generate a parameter package to be compared;
s3, processing the bundled data packets to be analyzed in other segmentation areas in sequence, obtaining the guide factors of the corresponding segmentation areas in the modes of the S1 and the S2, and generating parameter packets to be compared belonging to different segmentation areas again;
s4, merging and analyzing parameter packets to be compared belonging to different segmentation areas, and carrying out YZ analysis on a plurality of guide factors i Comparing in sequence to obtain corresponding repetitive parameter CF, and comparing the repetitive parameter CF with a preset value X2And comparing the rows, wherein the specific value of the preset value X2 is drawn by an operator according to experience, when the CF is more than or equal to X2, generating an equipment abnormal signal, and transmitting the equipment abnormal signal to the display terminal, otherwise, generating no processing signal.
2. The acoustic wave testing system for machining according to claim 1, wherein the display terminal displays an equipment abnormal signal and displays abnormal point positions of the bundled data packets to be analyzed, which belong to different partitioned areas.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211322196.7A CN115389624B (en) | 2022-10-27 | 2022-10-27 | Sound wave test system for processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211322196.7A CN115389624B (en) | 2022-10-27 | 2022-10-27 | Sound wave test system for processing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115389624A CN115389624A (en) | 2022-11-25 |
| CN115389624B true CN115389624B (en) | 2023-02-10 |
Family
ID=84127943
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211322196.7A Active CN115389624B (en) | 2022-10-27 | 2022-10-27 | Sound wave test system for processing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115389624B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116105905B (en) * | 2023-02-03 | 2023-11-03 | 保利长大工程有限公司 | Construction platform stress checking calculation system based on bridge impact drilling construction system |
| CN116337868B (en) * | 2023-02-28 | 2023-09-19 | 靖江安通电子设备有限公司 | Surface defect detection method and detection system |
| CN116206997B (en) * | 2023-05-06 | 2023-08-01 | 苏州德机自动化科技有限公司 | Packaging control management system based on full-automatic semiconductor production line |
| CN116660269B (en) * | 2023-05-24 | 2023-12-26 | 昆山祺力达电子材料有限公司 | PE film fold detection system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4126491A (en) * | 1974-06-28 | 1978-11-21 | Granges Oxelosund Jarnverk Ab | Method and apparatus for producing metal blanks, in particular steel slabs, which at least in a predetermined surface area have substantially no defects |
| CN107122475A (en) * | 2017-05-02 | 2017-09-01 | 杭州泰指尚科技有限公司 | Big data abnormal point detecting method and its system |
| CN111443366A (en) * | 2020-04-28 | 2020-07-24 | 武汉大学 | Method and system for detecting abnormal point in GNSS area network |
| CN112505704A (en) * | 2020-11-10 | 2021-03-16 | 北京埃福瑞科技有限公司 | Method for improving safety of train autonomous intelligent sensing system and train |
| WO2022064639A1 (en) * | 2020-09-25 | 2022-03-31 | 株式会社日立国際電気 | Abnormality detection device, abnormality detection method, and abnormality detection system |
| CN114359274A (en) * | 2022-03-16 | 2022-04-15 | 布鲁奇维尔通风设备启东有限公司 | Ventilation equipment blade quality detection method, device and system based on image processing |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS58154607A (en) * | 1982-03-10 | 1983-09-14 | Dainippon Printing Co Ltd | Device for testing defect of regular pattern |
| DE19853765C1 (en) * | 1998-11-21 | 2000-07-13 | Forschungszentrum Juelich Gmbh | Method and device for determining regularity |
| US7116413B2 (en) * | 2002-09-13 | 2006-10-03 | Kla-Tencor Corporation | Inspection system for integrated applications |
| GB201012519D0 (en) * | 2010-07-26 | 2010-09-08 | Ucl Business Plc | Method and system for anomaly detection in data sets |
| CN103780801A (en) * | 2012-10-25 | 2014-05-07 | 特克特朗尼克公司 | Heuristic method for scene cut detection in digital baseband video |
| DE112017005711T5 (en) * | 2016-11-14 | 2019-08-14 | Ngk Insulators, Ltd. | Ceramic body defect inspection device and defect inspection method |
-
2022
- 2022-10-27 CN CN202211322196.7A patent/CN115389624B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4126491A (en) * | 1974-06-28 | 1978-11-21 | Granges Oxelosund Jarnverk Ab | Method and apparatus for producing metal blanks, in particular steel slabs, which at least in a predetermined surface area have substantially no defects |
| CN107122475A (en) * | 2017-05-02 | 2017-09-01 | 杭州泰指尚科技有限公司 | Big data abnormal point detecting method and its system |
| CN111443366A (en) * | 2020-04-28 | 2020-07-24 | 武汉大学 | Method and system for detecting abnormal point in GNSS area network |
| WO2022064639A1 (en) * | 2020-09-25 | 2022-03-31 | 株式会社日立国際電気 | Abnormality detection device, abnormality detection method, and abnormality detection system |
| CN112505704A (en) * | 2020-11-10 | 2021-03-16 | 北京埃福瑞科技有限公司 | Method for improving safety of train autonomous intelligent sensing system and train |
| CN114359274A (en) * | 2022-03-16 | 2022-04-15 | 布鲁奇维尔通风设备启东有限公司 | Ventilation equipment blade quality detection method, device and system based on image processing |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115389624A (en) | 2022-11-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115389624B (en) | Sound wave test system for processing | |
| CN116051551B (en) | Display screen defect detection method and related device based on image processing | |
| CN106599890A (en) | Transformer substation patrol robot digital type instrument identification algorithm | |
| CN109934221A (en) | Power equipment based on attention mechanism automatically analyzes identification monitoring method and system | |
| CN106326632A (en) | Object analyzing method and object analyzing system | |
| CN115908420A (en) | Method, device and equipment for detecting defects of printed circuit board and storage medium | |
| CN115331002A (en) | Method for realizing remote processing of heating power station fault based on AR glasses | |
| CN115302411B (en) | Surface cleaning system based on image recognition and control method thereof | |
| CN113758524A (en) | Circuit board processing monitoring system | |
| CN115660288A (en) | Analysis management system based on internet big data | |
| CN110083636A (en) | The detection system and detection method of panel defect | |
| CN113326713B (en) | Action recognition method, device, equipment and medium | |
| CN112818596A (en) | Intelligent interference identification positioning method and system thereof | |
| CN116001000A (en) | Intelligent control method and system for PCB (printed circuit board) dividing machine | |
| CN111062827A (en) | Engineering supervision method based on artificial intelligence mode | |
| CN106250937B (en) | A kind of failure modes diagnostic method based on non-index of similarity | |
| CN114842870A (en) | Voiceprint anomaly detection method based on multi-band self-supervision | |
| CN110916764B (en) | Amplitude determination method and device for ultrasonic scalpel, storage medium and electronic equipment | |
| CN115205228A (en) | Monitoring and analyzing system for production defect distribution diagram of liquid crystal display panel | |
| CN113033469A (en) | Tool damage identification method, device, equipment, system and readable storage medium | |
| CN115104113A (en) | Work rate measuring apparatus and work rate measuring method | |
| CN113592789A (en) | Dim light image identification method, device, equipment and storage medium | |
| CN114488595A (en) | Substrate cutting method and system | |
| US9423425B2 (en) | Side-channel analysis apparatus and method based on profile | |
| CN212433629U (en) | Automatic test system of railway system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |