CN117073569A - Strain measurement method and device for deformed steel bar, visual strain gauge and storage medium - Google Patents
Strain measurement method and device for deformed steel bar, visual strain gauge and storage medium Download PDFInfo
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 187
- 239000010959 steel Substances 0.000 title claims abstract description 187
- 230000000007 visual effect Effects 0.000 title claims abstract description 37
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- 238000013473 artificial intelligence Methods 0.000 claims description 6
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- 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
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The application relates to the technology of optometry mechanics, and discloses a strain measurement method of deformed steel bar, which comprises the following steps: controlling a visual sensor to acquire a series of pictures of the deformed steel bar in the process of strain; identifying a plurality of regions of interest from each picture, and pairing the regions of interest according to a preset measurement scale distance to obtain a pairing result; identifying at least two deformed steel bar features from each pairing result to generate a deformed steel bar feature pair; and detecting the distance variation of the deformed steel bar characteristic pair in a series of pictures based on a digital image correlation method, and determining the strain data of the deformed steel bar according to the distance variation. The application also discloses a strain measurement device, computer equipment, a visual strain gauge and a computer readable storage medium. The application aims to conveniently and safely measure the strain of the deformed steel bar.
Description
Technical Field
The application relates to the technical field of optometric mechanics, in particular to a strain measurement method, a strain measurement device, computer equipment, a visual strain gauge and a computer readable storage medium for deformed steel bars.
Background
With the wide spread of detection of material strain in mechanical properties in industrial applications, it is increasingly important how to accurately and efficiently detect material strain. The strain detection can be applied to various material tests and structural tests, and is used for ensuring the qualified product quality on one hand and verifying the rationality of material components and structural design on the other hand.
In the conventional deformed steel bar strain test, it is necessary to clamp a resistance strain gauge of a clamp-type extensometer on a sample, bring a blade into contact with the sample, and measure the change in distance between both blades during the strain of the sample as the strain amount of the sample.
However, the measurement range of the measurement mode is easily limited by the measurement range of the clamping type extensometer (the standard distance of the conventional clamping type extensometer is generally 25mm, 50mm, 100mm and the like), the extra special extensometer is required to be purchased for measuring the ultra-large standard distance, and a new sample with a specification which is greatly different from that of the previous sample is required to be replaced every time the new measurement is performed, so that the operation of the process is complicated; the impact of the screw thread steel at the moment of fracture also easily causes irreversible damage to the measuring instruments such as the clamping type extensometer, the service life of the measuring instruments is greatly shortened, and the damage of the instruments can threaten the personal safety of operators when serious.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present application and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The application mainly aims to provide a strain measurement method, a strain measurement device, computer equipment and a computer readable storage medium for deformed steel bars, which aim to conveniently and safely measure the strain of the deformed steel bars.
In order to achieve the above object, the present application provides a method for measuring strain of deformed steel bar, comprising the steps of:
controlling a visual sensor to acquire a series of pictures of the deformed steel bar in the process of strain;
identifying a plurality of regions of interest (ROIs) from each picture, and pairing the regions of interest according to a preset measurement scale distance to obtain a pairing result;
identifying at least two deformed steel bar features from each pairing result to generate a deformed steel bar feature pair;
and detecting the distance variation of the deformed steel bar characteristic pair in a series of pictures based on a digital image correlation method, and determining the strain data of the deformed steel bar according to the distance variation.
Optionally, the step of pairing the regions of interest according to the preset measurement standard distance to obtain a pairing result includes:
and according to the preset measurement gauge length, pairing the two regions of interest identified from the deformed steel bar preset region to obtain a first pairing result.
Optionally, the two regions of interest in the first pairing result are respectively marked as a first region and a second region;
the step of pairing the two regions of interest identified from the deformed steel bar preset region according to the preset measurement gauge length to obtain a first pairing result further comprises the following steps:
pairing the two regions of interest on both sides of the first region to obtain a second pairing result;
pairing the two regions of interest on both sides of the second region to obtain a third pairing result;
wherein the second pairing result is different from the region of interest in the third pairing result.
Optionally, the step of identifying a plurality of regions of interest from each picture includes:
identifying a plurality of regions of interest from each picture based on the artificial intelligence model;
the artificial intelligent model is obtained by training based on a plurality of deformed steel bar pictures marked with the region of interest in advance.
Optionally, the method for measuring strain of deformed steel bar further includes:
and executing the step of controlling the visual sensor to acquire a series of pictures of the deformed steel bar in the process of strain when the visual sensor detects that the deformed steel bar is clamped on the clamp.
Optionally, the method for measuring strain of deformed steel bar further includes:
and controlling the clamp to perform strain operation on the deformed steel bar based on the condition that the visual sensor detects that the deformed steel bar is clamped on the clamp and the condition that the human body characteristics are not detected.
In order to achieve the above object, the present application also provides a strain measurement device including:
the picture acquisition module is used for controlling the visual sensor to acquire a series of pictures of the deformed steel bar in the strain process;
the first identification module is used for identifying a plurality of regions of interest from each picture, and carrying out region of interest pairing according to a preset measurement gauge length to obtain a pairing result;
the second identification module is used for identifying at least two deformed steel bar characteristics from each pairing result and generating a deformed steel bar characteristic pair;
and the processing module is used for detecting the distance variation of the deformed steel bar characteristic pair in a series of pictures based on a digital image correlation method and determining the deformed steel bar strain data according to the distance variation.
To achieve the above object, the present application also provides a computer apparatus comprising: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the computer program is executed by the processor to realize the steps of the method for measuring the strain of the screw steel.
To achieve the above object, the present application also provides a visual strain gauge comprising a visual sensor and a computer device as described above, wherein the visual sensor is communicatively connected to the computer device.
To achieve the above object, the present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for measuring strain of a threaded steel as described above.
The strain measurement method, the strain measurement device, the computer equipment, the visual strain gauge and the computer readable storage medium for the deformed steel bar provided by the application realize the strain measurement of the deformed steel bar based on the optometric mechanics technology, have the advantages of simple and safe operation in the measurement process, high measurement efficiency and measurement precision, and avoid the measurement range limitation and the risk of equipment damage of the traditional clamping type extensometer. The deformed steel bar characteristics in the picture sequence are tracked and matched, so that the deformed steel bar characteristic pair is measured, a measurer does not need to directly contact the deformed steel bar by using a contact measuring tool, the deformed steel bar is prevented from damaging measuring equipment due to overlarge strain force in the process of strain, and the threat to the personal safety of the measurer due to equipment damage or deformed steel bar breakage is avoided.
Drawings
FIG. 1 is a schematic diagram showing steps of a method for measuring strain of deformed steel bars according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a scenario of strain measurement of a deformed steel bar according to an embodiment of the present application;
FIG. 3 is a schematic diagram of region of interest pairing for a deformed steel bar in accordance with one embodiment of the present application;
FIG. 4 is a schematic diagram of a strain gauge according to an embodiment of the application;
fig. 5 is a schematic block diagram illustrating an internal structure of a computer device according to an embodiment of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below are exemplary and intended to illustrate the present application and should not be construed as limiting the application, and all other embodiments, based on the embodiments of the present application, which may be obtained by persons of ordinary skill in the art without inventive effort, are within the scope of the present application.
Furthermore, the description of "first," "second," etc. in this disclosure is for descriptive purposes only (e.g., to distinguish between identical or similar elements) and is not to be construed as indicating or implying a relative importance or an implicit indication of the number of features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present application.
Referring to fig. 1, in an embodiment, the method of measuring strain of the screw-thread steel includes:
step S10, controlling a visual sensor to acquire a series of pictures of the deformed steel bar in the process of strain;
step S20, identifying a plurality of regions of interest from each picture, and pairing the regions of interest according to a preset measurement scale distance to obtain a pairing result;
s30, identifying at least two deformed steel bar characteristics from each pairing result, and generating deformed steel bar characteristic pairs;
and step S40, detecting the distance variation of the deformed steel bar characteristic pair in a series of pictures based on a digital image correlation method, and determining the deformed steel bar strain data according to the distance variation.
In this embodiment, the execution terminal of the embodiment may be a computer device, or a visual strain gauge provided with the computer device, or a virtual device (such as a visual measurement device) or other devices for controlling the computer device; the following description will take an example in which an execution terminal is a computer device.
Alternatively, the system in which the computer device is installed may be selected to be window10.
As described in step S10, referring to fig. 2, a computer device and a vision sensor are used to perform strain measurement on a measured material, wherein the computer device and the vision sensor are in communication connection, and the vision sensor not only transmits the acquired picture to the computer device, but also is controlled by the computer device; the measured material is screw-thread steel (or screw-thread steel sample) which needs to be measured in the actual measuring site according to the scheme.
Optionally, the vision sensor is set with a proper frame rate and exposure time, and the part of the screw steel to be measured is placed in a picture acquisition range in which the vision sensor can clearly image. Thus, once the vision sensor is started, the screw thread steel in the range of the visual field can be subjected to real-time image acquisition according to the set frequency. The acquired pictures can be transmitted to computer equipment for processing and analysis in real time through a data transmission method (such as network connection or data wire).
Alternatively, when the deformed steel bar is subjected to a strain operation by using the related equipment, a picture of the deformed steel bar strain process can be acquired by a visual sensor. In view of the fact that the strain treatment of the deformed steel bar is a continuous process, multiple pictures of the deformed steel bar at different moments can be shot within a certain period of time, and the shot pictures are transmitted to computer equipment to be further processed by the computer equipment.
For example, the related equipment responsible for performing the strain operation on the deformed steel bar may be deployed within the picture acquisition range of the vision sensor, and after the engineer clamps the deformed steel bar on the strain equipment, the interactive interface provided by the deformed steel bar measurement software deployed on the computer equipment may issue a strain start instruction to control the strain equipment to perform the strain operation on the deformed steel bar, and at the same time, control the vision sensor to acquire a series of pictures of the deformed steel bar during the strain process.
As described in step S20, the computer device may be deployed with a screw-thread steel measurement software, through which the collected pictures may be placed in an internal allocated memory pool, and each picture may be allocated with a sequence number and a collection time point for later time axis display.
Optionally, a target detection algorithm or an image segmentation algorithm is used to identify a plurality of regions of interest corresponding to the deformed steel bar image in each picture. For example, the region of interest in each picture may be extracted based on optical flow methods, particle filtering, meanshift, and the like.
Optionally, the identified regions of interest are paired in pairs according to a preset measurement gauge length, so as to ensure that the region distance of each paired pair is within a reasonable range (i.e., within the preset measurement gauge length range). These pairing results may be determined by geometric relationships or image features.
It should be noted that, the scheme supports the customization of various measurement gauge lengths (as long as the measurement gauge lengths are within the picture acquisition range, the measurement gauge lengths can be limited by the gauge length measuring range of the unlimited physical measurement equipment), and a measurement engineer can preset a preset measurement gauge length required by current strain measurement of the screw-thread steel according to actual measurement requirements.
As depicted in step S30, the pairing result includes two regions of interest, and at least two deformed steel features are identified in each paired region of interest (i.e., at least one deformed steel feature is identified for each region of interest) based on a feature detection algorithm; the screw-thread steel features may be, among other things, the intersections of the threads or specific texture features.
Optionally, when detecting the feature of each region of interest, the detected features include information that can represent deformed steel bars, such as corner points, edges or textures, and after the feature detection, the detected features are extracted, such as calculating coordinates, directions, descriptors of feature points, and the like.
Optionally, matching the deformed steel bar features belonging to different regions of interest to find out corresponding features, which may be matched using distance, directional similarity or descriptor similarity between features.
Optionally, the angle between the line of two paired deformed steel bar features and the deformed steel bar strain direction is smaller than a predetermined deviation angle (this includes the case where the line of deformed steel bar features is parallel to the deformed steel bar strain direction).
Optionally, a preset deviation angle is preset according to specific requirements in advance, and is used for judging whether the included angle between the two characteristic connecting lines and the deformed steel bar meets the requirements or not. The preset deviation angle can be determined according to the characteristics of the deformed steel bar and the accuracy requirements of strain measurement.
Optionally, after the feature matching step, the matching result is screened. Only those pairs of connecting lines parallel to the deformed steel bar strain direction or having an included angle smaller than a preset deviation angle are reserved. This can be achieved by calculating the angle between the direction of the feature line and the direction of the deformed steel bar strain and comparing.
Alternatively, corresponding pairs of deformed steel bar characteristics are generated based on two deformed steel bar characteristics meeting the above requirements.
As described in step S40, the acquired first picture can be used as a reference picture by using a digital image correlation method, the positions of the deformed steel bar feature pairs in the picture sequence are tracked and matched, the position change of each deformed steel bar feature in the first picture is identified by using a subpixel interpolation algorithm, so that the corresponding displacement of two features in the deformed steel bar feature pair is detected, and the distance change between the deformed steel bar feature pairs can be calculated based on the detected displacement.
Optionally, according to the distance variation between the deformed steel bar characteristic pairs and in combination with a strain calculation formula, the strain data of the deformed steel bar are calculated. The strain data may be strain amount, poisson's ratio, etc., among others. It should be noted that the strain data may be used to describe deformation of the material during strain, such as stretching, compression, bending, etc., to provide a comprehensive deformed steel strain analysis.
The digital image correlation method can utilize the similarity or correlation among the feature points to match, provides higher accuracy and precision, realizes real-time tracking of the deformed steel bar feature pairs and displacement calculation based on the similarity or correlation, and has the advantages of non-contact measurement, high accuracy, high precision and the like.
Optionally, after the strain data of the deformed steel bar is obtained, the corresponding strain data result can be sent to the interaction interface and a report file can be generated, so that the measurement engineer can check the strain data conveniently.
In an embodiment, strain measurement of the deformed steel bar is achieved based on a light measuring mechanics technology, the operation of a measuring process is simple and safe, the measuring efficiency and the measuring precision are high, and the measuring range limitation and the risk of equipment damage of a traditional clamping type extensometer are avoided. The deformed steel bar characteristics in the picture sequence are tracked and matched, so that the deformed steel bar characteristic pair is measured, a measurer does not need to directly contact the deformed steel bar by using a contact measuring tool, the deformed steel bar is prevented from damaging measuring equipment due to overlarge strain force in the process of strain, and the threat to the personal safety of the measurer due to equipment damage or deformed steel bar breakage is avoided.
In addition, by continuously tracking and matching the deformed steel bar features, the positions and changes of the deformed steel bar features can be tracked in real time so as to monitor the deformation degree and the strain trend of the deformed steel bar.
In an embodiment, on the basis of the foregoing embodiment, the step of pairing the regions of interest according to a preset measurement scale distance to obtain a pairing result includes:
and according to the preset measurement gauge length, pairing the two regions of interest identified from the deformed steel bar preset region to obtain a first pairing result.
In this embodiment, in a preset area of the deformed steel bar, continuous image frames are processed and analyzed, and an area of interest including characteristics of the deformed steel bar is extracted. This may be achieved by image processing techniques such as edge detection, binarization, morphological operations, etc.
Alternatively, the selection of the pre-set region of the deformed steel bar may include a central region of the deformed steel bar. The middle region is typically the main body portion of the deformed steel bar, which is representative and stable. By selecting the middle of the screw-thread steel as a preset area, it is ensured that a corresponding region of interest can be extracted in successive image frames, and paired and analyzed. Such a selection can simplify the steps of image processing and matching, and has good feasibility in practical operation.
Optionally, according to the preset measurement gauge length, the two regions of interest identified from the deformed steel bar preset region are paired to obtain a first pairing result, and the distance between the paired regions is within the preset measurement gauge length range.
In an embodiment, on the basis of the above embodiment, the two regions of interest in the first pairing result are respectively marked as a first region and a second region;
the step of pairing the two regions of interest identified from the deformed steel bar preset region according to the preset measurement gauge length to obtain a first pairing result further comprises the following steps:
pairing the two regions of interest on both sides of the first region to obtain a second pairing result;
pairing the two regions of interest on both sides of the second region to obtain a third pairing result;
wherein the second pairing result is different from the region of interest in the third pairing result.
In this embodiment, after two regions of interest identified from a deformed steel bar preset region are paired according to a preset measurement gauge length to obtain a first pairing result, the regions of interest in the first pairing result are respectively marked as a first region and a second region.
Optionally, referring to fig. 3, on the basis of the first pairing result, pairing is performed on two regions of interest on two sides of the first region, so as to obtain a second pairing result. This step can be implemented by the same pairing algorithm and parameters to ensure consistency and accuracy of pairing, e.g. the distance between two regions of interest in the second pairing result is also within the range of the preset measurement gauge length.
Similarly, referring to fig. 3, on the basis of the first pairing result, two regions of interest on both sides of the second region are paired, so as to obtain a third pairing result. Likewise, the pairing operation is implemented using the same pairing algorithm and parameters.
It should be noted that the second pairing result is not the same as the selected region of interest in the third pairing result, i.e. by selecting different pairing regions, more pairing results can be obtained, thereby increasing the reliability of the measurement.
Optionally, step S30 may be performed for each of the first, second and third pairing results, so as to identify a pair of deformed steel features corresponding to each pairing result, and step S40 may be performed based on the pair of deformed steel features corresponding to each pairing result, so that the obtained strain data is more accurate and comprehensive.
Because each pairing result corresponds to a specific deformed steel bar characteristic pair, the strain data obtained by analyzing the distance variation among different deformed steel bar characteristic pairs can cover the strain conditions of different positions on the deformed steel bar surface, and thus more accurate and comprehensive deformed steel bar strain measurement can be obtained. The strain data can be used for analyzing the mechanical property, the safety property and the like of the deformed steel bar, and provides important data support for research and application in the related field.
In an embodiment, on the basis of the foregoing embodiment, the step of identifying a plurality of regions of interest from each picture includes:
identifying a plurality of regions of interest from each picture based on the artificial intelligence model;
the artificial intelligent model is obtained by training based on a plurality of deformed steel bar pictures marked with the region of interest in advance.
In this embodiment, in order to enable the artificial intelligence model to accurately identify the region of interest in the deformed steel bar picture, it is necessary to train the model by using a plurality of deformed steel bar pictures labeled with the region of interest in advance. By labeling the training data, designating the position and boundary of the region of interest, the training artificial intelligence model can learn and understand the characteristics of the deformed steel bars and realize accurate identification of the region of interest.
Optionally, a plurality of regions of interest are identified from each picture based on the pre-trained artificial intelligence model. This may use Convolutional Neural Networks (CNNs) or target detection algorithms to process and analyze the images to precisely locate and identify regions of interest of the deformed steel.
Through the scheme, by means of the powerful image recognition capability of the artificial intelligent model, a plurality of deformed steel bar interesting regions can be automatically recognized from each picture. In this way, during the detection of the deformed steel bar feature pairs, the region of interest can be extracted more efficiently and more accurate results can be obtained in subsequent measurements and analyses.
Optionally, after identifying the regions of interest of the deformed steel bar in a series of pictures, region matching and tracking operations may be performed based on the regions to determine the correspondence of each region of interest between different pictures (this may be achieved by using feature descriptors and matching algorithms, such as SIFT, SURF, etc. feature descriptors and RANSAC, optical flow methods, etc. matching algorithms), so as to facilitate the identification and tracking of the subsequent deformed steel bar features in different pictures.
In an embodiment, on the basis of the foregoing embodiment, the method for measuring strain of deformed steel bar further includes:
and executing the step of controlling the visual sensor to acquire a series of pictures of the deformed steel bar in the process of strain when the visual sensor detects that the deformed steel bar is clamped on the clamp.
In this embodiment, the strain equipment responsible for the strain operation of the screw-thread steel is provided with a clamp so as to clamp and fix the screw-thread steel to be measured.
Alternatively, depending on the shape and size of the deformed steel bars, corresponding clamps may be designed to clamp the deformed steel bars to be measured. The manufactured clamp needs to have enough rigidity and stability to ensure that the deformed steel bars do not move or deform in the process of being strained.
Optionally, after the computer device and the vision sensor are correspondingly started, after the screw steel enters the picture acquisition range of the vision sensor, after the computer device analyzes the picture acquired by the vision sensor, if the screw steel in the picture is detected to be clamped on the clamp, the step (i.e. step S10) of controlling the vision sensor to acquire a series of pictures of the screw steel in the strain process is automatically executed, so that the automation rate and the measurement efficiency of the whole scheme are improved.
In an embodiment, on the basis of the foregoing embodiment, the method for measuring strain of deformed steel bar further includes:
and controlling the clamp to perform strain operation on the deformed steel bar based on the condition that the visual sensor detects that the deformed steel bar is clamped on the clamp and the condition that the human body characteristics are not detected.
In this embodiment, in order to ensure safety and avoid interference, before the strain operation, the computer device monitors whether the threaded steel is clamped to the corresponding clamp through the visual sensor, and detects whether a person or a human body feature exists in the operation area. This may be achieved by human gesture recognition, depth camera, etc. techniques.
Optionally, if the threaded steel is detected to be clamped to the clamp based on the visual sensor, and no human body feature is detected, the computer device may trigger automatic control of the clamp. By controlling the strain device providing the clamp, the clamp will exert the appropriate force or deformation on the deformed steel to effect the strain operation.
Optionally, while the strain operation is being performed, the vision sensor automatically captures a series of pictures of the deformed steel bar during the strain process. By performing image processing and analysis on the pictures, the strain information of the deformed steel bar can be extracted, and corresponding strain measurement and data recording can be performed.
Through the scheme, when the threaded steel is detected to be clamped on the clamp based on the visual sensor and the human body characteristics are not detected, the clamp is automatically controlled to carry out strain operation, so that efficient strain operation and strain data acquisition on the threaded steel are realized.
In addition, referring to fig. 4, in an embodiment of the present application, there is further provided a strain measurement device Z10, including:
the picture acquisition module Z11 is used for controlling the vision sensor to acquire a series of pictures of the deformed steel bar in the strain process;
the first identification module Z12 is used for identifying a plurality of regions of interest from each picture, and carrying out region of interest pairing according to a preset measurement gauge length to obtain a pairing result;
the second identification module Z13 is used for identifying at least two deformed steel bar characteristics from each pairing result to generate a deformed steel bar characteristic pair;
and the processing module Z14 is used for detecting the distance variation of the screw thread steel characteristic pair in a series of pictures based on a digital image correlation method and determining the strain data of the screw thread steel according to the distance variation.
Alternatively, the strain measurement device may be a virtual control device (such as a virtual machine), or may be a physical device (such as a physical device other than a computer device that performs the corresponding method).
In addition, the embodiment of the application also provides a computer device, and the internal structure of the computer device can be shown in fig. 5. The computer device includes a processor, a memory, a communication interface, and a database connected by a system bus. Wherein the processor is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store data of computer program calls. The communication interface of the computer device is used for data communication with an external terminal. The input device of the computer device is used for receiving signals input by external equipment. The computer program is executed by a processor to implement a method of strain measurement of a screw-thread steel as described in the above embodiments.
It will be appreciated by those skilled in the art that the architecture shown in fig. 5 is merely a block diagram of a portion of the architecture in connection with the present inventive arrangements and is not intended to limit the computer devices to which the present inventive arrangements are applicable.
In addition, the application also provides a visual strain gauge, which comprises a visual sensor and the computer equipment according to the embodiment, wherein the visual sensor is in communication connection with the computer equipment.
Furthermore, the application proposes a computer-readable storage medium comprising a computer program which, when executed by a processor, implements the steps of the method for strain measurement of a threaded steel as described in the above embodiments. It is understood that the computer readable storage medium in this embodiment may be a volatile readable storage medium or a nonvolatile readable storage medium.
In summary, in the method, the device, the computer equipment, the visual strain gauge and the computer readable storage medium for measuring the strain of the threaded steel provided by the embodiment of the application, the strain measurement of the threaded steel is realized based on the optical measurement mechanics technology, the operation of the measuring process is simple and safe, the measuring efficiency and the measuring precision are high, and the measuring range limitation and the risk of equipment damage of the traditional clamping type extensometer are avoided. The deformed steel bar characteristics in the picture sequence are tracked and matched, so that the deformed steel bar characteristic pair is measured, a measurer does not need to directly contact the deformed steel bar by using a contact measuring tool, the deformed steel bar is prevented from damaging measuring equipment due to overlarge strain force in the process of strain, and the threat to the personal safety of the measurer due to equipment damage or deformed steel bar breakage is avoided.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided by the present application and used in embodiments may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the scope of the application, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application or direct or indirect application in other related technical fields are included in the scope of the present application.
Claims (10)
1. A method of measuring strain in a deformed steel bar, comprising:
controlling a visual sensor to acquire a series of pictures of the deformed steel bar in the process of strain;
identifying a plurality of regions of interest from each picture, and pairing the regions of interest according to a preset measurement scale distance to obtain a pairing result;
identifying at least two deformed steel bar features from each pairing result to generate a deformed steel bar feature pair;
and detecting the distance variation of the deformed steel bar characteristic pair in a series of pictures based on a digital image correlation method, and determining the strain data of the deformed steel bar according to the distance variation.
2. The method for measuring strain of deformed steel bar according to claim 1, wherein the step of pairing the regions of interest according to a preset measurement gauge length to obtain a pairing result comprises:
and according to the preset measurement gauge length, pairing the two regions of interest identified from the deformed steel bar preset region to obtain a first pairing result.
3. The method of strain measurement of a screw-thread steel according to claim 2, wherein the two regions of interest in the first pairing result are marked as a first region and a second region, respectively;
the step of pairing the two regions of interest identified from the deformed steel bar preset region according to the preset measurement gauge length to obtain a first pairing result further comprises the following steps:
pairing the two regions of interest on both sides of the first region to obtain a second pairing result;
pairing the two regions of interest on both sides of the second region to obtain a third pairing result;
wherein the second pairing result is different from the region of interest in the third pairing result.
4. A method of strain measurement of a screw-thread steel according to claim 1, wherein the step of identifying a plurality of regions of interest from each picture comprises:
identifying a plurality of regions of interest from each picture based on the artificial intelligence model;
the artificial intelligent model is obtained by training based on a plurality of deformed steel bar pictures marked with the region of interest in advance.
5. The method for measuring strain of deformed steel bar according to claim 1, further comprising:
and executing the step of controlling the visual sensor to acquire a series of pictures of the deformed steel bar in the process of strain when the visual sensor detects that the deformed steel bar is clamped on the clamp.
6. The method for measuring strain of deformed steel bar according to claim 5, further comprising:
and controlling the clamp to perform strain operation on the deformed steel bar based on the condition that the visual sensor detects that the deformed steel bar is clamped on the clamp and the condition that the human body characteristics are not detected.
7. A strain measurement device, comprising:
the picture acquisition module is used for controlling the visual sensor to acquire a series of pictures of the deformed steel bar in the strain process;
the first identification module is used for identifying a plurality of regions of interest from each picture, and carrying out region of interest pairing according to a preset measurement gauge length to obtain a pairing result;
the second identification module is used for identifying at least two deformed steel bar characteristics from each pairing result and generating a deformed steel bar characteristic pair;
and the processing module is used for detecting the distance variation of the deformed steel bar characteristic pair in a series of pictures based on a digital image correlation method and determining the deformed steel bar strain data according to the distance variation.
8. A computer device, characterized in that it comprises a memory, a processor and a computer program stored on the memory and executable on the processor, which computer program, when being executed by the processor, realizes the steps of the method for measuring the strain of a screw-thread steel according to any one of claims 1 to 6.
9. A visual strain gauge comprising a visual sensor and a computer device as recited in claim 8, wherein the visual sensor is communicatively coupled to the computer device.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the method for strain measurement of a screw-thread steel according to any one of claims 1 to 6.
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| CN202311164161.XA CN117073569A (en) | 2023-09-11 | 2023-09-11 | Strain measurement method and device for deformed steel bar, visual strain gauge and storage medium |
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| CN202311164161.XA CN117073569A (en) | 2023-09-11 | 2023-09-11 | Strain measurement method and device for deformed steel bar, visual strain gauge and storage medium |
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