CN117450989A - Mesh stress and strain information acquisition method, device and system - Google Patents

Abstract

The embodiment of the application provides a method, a device and a system for acquiring stress-strain information of a mesh, wherein the method comprises the following steps: obtaining strain information of the mesh to be detected during the preset stress application period by using k displacement sensors arranged on the mesh to be detected, so as to obtain k pieces of first strain information; determining first stress strain information of the net sheet to be detected according to k pieces of first strain information and the preset stress; acquiring n first images of the to-be-detected mesh sheet in the period of applying preset stress through a camera; determining second strain information of the mesh to be detected through n pieces of the first images; determining second stress-strain information of the mesh to be detected according to the second strain information and the preset stress; and carrying out data fusion processing on the first stress strain information and the second stress strain information to obtain target stress strain information of the net sheet to be detected, so that accuracy in determining the stress strain information of the net sheet can be improved.

Description

Mesh stress and strain information acquisition method, device and system

Technical field

This application relates to the technical field of stress and strain processing, and specifically relates to a method, device, terminal and medium for obtaining mesh stress and strain information.

Background technique

With the development of construction technology, more and more mesh sheets are used in buildings. The existing mesh detection method is to manually collect the structural information of the mesh after the mesh is constructed, and analyze and process it to obtain the stress and strain information of the mesh. However, due to the manual collection The method may have large errors, and there may be risks such as data omission, which leads to low accuracy in determining the stress and strain information of the mesh.

Contents of the invention

Embodiments of the present application provide a method, device, terminal and medium for obtaining stress and strain information of a mesh, which can solve the technical problem of low accuracy when determining the stress and strain information of a mesh.

The first aspect of the embodiments of the present application provides a method for obtaining mesh stress and strain information. The method for obtaining mesh stress and strain information includes:

Obtain the strain information during the period when the mesh to be detected is subjected to a preset stress through k displacement sensors arranged on the mesh to be detected, to obtain k first strain information;

Determine the first stress and strain information of the mesh to be detected based on k pieces of the first strain information and the preset stress;

Obtain n first images through a camera during the period when the mesh to be detected is subjected to a preset stress;

Determine the second strain information of the mesh to be detected through n first images;

Determine the second stress and strain information of the mesh to be detected according to the second strain information and the preset stress;

Data fusion processing is performed on the first stress strain information and the second stress strain information to obtain the target stress strain information of the mesh to be detected.

In a possible implementation, determining the first stress and strain information of the mesh to be detected based on k pieces of the first strain information and the preset stress includes:

Obtain the components of the preset stress in the first strain detection areas respectively corresponding to k pieces of the first strain information, so as to obtain k first components;

Determine k first sub-stress and strain information based on k first component forces and k first strain information;

The first stress and strain information is determined according to k pieces of the first sub-stress and strain information.

In a possible implementation, obtaining the components of the preset stress in the k first strain detection areas respectively corresponding to the first strain information to obtain k first component forces includes:

Determine k first strain detection areas based on k pieces of the first strain information;

Obtain the relative position information between the k first strain detection areas and the stress application area of the preset stress to obtain the k first relative position information;

Obtain the material information and structural information of the mesh to be detected;

Determine stress transfer loss information according to the material information and the structural information;

Determine k pieces of first stress loss information based on the k pieces of first relative position information and the stress transfer loss information;

Determine k reference force components according to k pieces of the first stress loss information and the preset stress;

Obtain surface texture information of k first strain detection areas to obtain k first surface texture information;

Determine the stress loss information of the corresponding first strain detection area according to the k pieces of first surface texture information to obtain k pieces of second stress loss information;

The corresponding first component is determined based on the second stress loss information corresponding to the k reference components to obtain k first components.

In a possible implementation, determining the second strain information of the mesh to be detected through n first images includes:

Classify the n first images to obtain q first image sets, and the q first image sets correspond to the q image detection areas of the mesh to be detected;

Obtain m first image groups from q first image sets, the first image group includes q first images, and the images in the first image group are the network to be detected collected at the same acquisition time. Images of the q image detection areas of the slice, m and q are integers less than n;

Perform alignment and splicing processing on the first images in the m first image groups respectively to obtain m second images, where the second images are complete images of the mesh to be detected;

Obtain the strain characteristic information corresponding to each image detection area in the m second images to obtain m strain characteristic information sets;

The second strain information is determined based on m sets of strain characteristic information.

In a possible implementation, performing data fusion processing on the first stress strain information and the second stress strain information to obtain the target stress strain information of the mesh to be detected includes:

Construct a first stress-strain curve according to the first stress-strain information;

Construct a second stress-strain curve according to the second stress-strain information;

Extract non-overlapping portions of the first stress-strain curve and the second stress-strain curve;

Perform strain information fusion on the non-overlapping parts to obtain fused strain information;

The non-overlapping portions of the first stress-strain curve and the second stress-strain curve are processed according to the fused strain information to obtain a target stress-strain curve.

The target stress-strain information is determined according to the target stress-strain curve.

The second aspect of the embodiment of the present application provides a device for obtaining stress and strain information of a mesh. The device for obtaining stress and strain information of a mesh includes:

The first acquisition unit is configured to acquire the strain information during the period when the mesh to be detected is subjected to a preset stress through k displacement sensors arranged on the mesh to be detected, so as to obtain k first strain information;

A first determination unit configured to determine the first stress strain information of the mesh to be detected based on k pieces of the first strain information and the preset stress;

A second acquisition unit, configured to acquire n first images through a camera during the period when the mesh to be detected is subjected to a preset stress;

A second determination unit, configured to determine the second strain information of the mesh to be detected through n pieces of the first images;

A third determination unit, configured to determine the second stress strain information of the mesh to be detected based on the second strain information and the preset stress;

A fusion unit configured to perform data fusion processing on the first stress strain information and the second stress strain information to obtain target stress strain information of the mesh to be detected.

In a possible implementation, the first determining unit is used to:

Obtain the components of the preset stress in the first strain detection areas respectively corresponding to k pieces of the first strain information, so as to obtain k first components;

Determine k first sub-stress and strain information based on k first component forces and k first strain information;

The first stress and strain information is determined according to k pieces of the first sub-stress and strain information.

In one possible implementation, in terms of obtaining the components of the preset stress in the k first strain detection areas respectively corresponding to the first strain information to obtain k first component forces, the The first determination unit is used for:

Determine k first strain detection areas based on k pieces of the first strain information;

Obtain the relative position information between the k first strain detection areas and the stress application area of the preset stress to obtain the k first relative position information;

Obtain the material information and structural information of the mesh to be detected;

Determine stress transfer loss information according to the material information and the structural information;

Determine k pieces of first stress loss information based on the k pieces of first relative position information and the stress transfer loss information;

Determine k reference force components according to k pieces of the first stress loss information and the preset stress;

Obtain surface texture information of k first strain detection areas to obtain k first surface texture information;

Determine the stress loss information of the corresponding first strain detection area according to the k pieces of first surface texture information to obtain k pieces of second stress loss information;

The corresponding first component is determined based on the second stress loss information corresponding to the k reference components to obtain k first components.

In a possible implementation, the second determination unit is used for:

Classify n first images to obtain k first image sets, where the first image in the first image set corresponds to the image detection area of the mesh to be detected;

Perform alignment and splicing processing on the first images in the k first image sets to obtain m second images, the product of m and n is k, and the second image is the complete image of the mesh to be detected;

Obtain the strain characteristic information corresponding to each image detection area in the m second images to obtain m strain characteristic information sets;

The second strain information is determined based on m sets of strain characteristic information.

In a possible implementation, the fusion unit is used to:

Construct a first stress-strain curve according to the first stress-strain information;

Construct a second stress-strain curve according to the second stress-strain information;

Extract non-overlapping portions of the first stress-strain curve and the second stress-strain curve;

Perform strain information fusion on the non-overlapping parts to obtain fused strain information;

The non-overlapping portions of the first stress-strain curve and the second stress-strain curve are processed according to the fused strain information to obtain a target stress-strain curve.

The target stress-strain information is determined according to the target stress-strain curve.

A third aspect of the embodiment of the present application provides a mesh stress and strain information acquisition system. The mesh stress and strain information acquisition system includes:

k displacement sensors, camera groups, stress application devices, light sources and processing equipment, the k displacement sensors, camera groups, stress application devices, light sources are communicatively connected to the processing equipment;

Wherein, the processing device is used to perform the mesh stress strain information acquisition method in the first aspect of the embodiment of the present application.

A fourth aspect of the embodiment of the present application provides a terminal, including a processor, an input device, an output device, and a memory. The processor, the input device, the output device, and the memory are connected to each other, and the memory is used to store a computer program. , the computer program includes program instructions, and the processor is configured to call the program instructions to execute the step instructions in the first aspect of the embodiment of the present application.

A fifth aspect of the embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes the computer to execute the steps of the first embodiment of the present application. Some or all of the steps described in one aspect.

The sixth aspect of the embodiment of the present application provides a computer program product, wherein the above-mentioned computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the above-mentioned computer program is operable to cause the computer to execute the implementation of the present application. Examples include some or all of the steps described in the first aspect. The computer program product may be a software installation package.

Implementing the application embodiment itself has the following effects:

The strain information during the period when the mesh to be detected is subjected to a preset stress is obtained through k displacement sensors arranged on the mesh to be detected, so as to obtain k pieces of first strain information. According to the k pieces of first strain information and the Preset stress, determine the first stress and strain information of the mesh to be detected, obtain n first images during the period when the mesh to be detected is subjected to the preset stress through a camera, and determine through the n first images The second strain information of the mesh to be detected is determined based on the second strain information and the preset stress, and the second stress and strain information of the mesh to be detected is determined based on the first stress and strain information and the preset stress. The second stress and strain information is subjected to data fusion processing to obtain the target stress and strain information of the mesh to be detected. Therefore, the first strain information of the mesh to be detected can be obtained through a displacement sensor to determine the first stress and strain information, And obtain the first image of the mesh to be detected through the camera to determine the second stress strain information, and finally fuse the first stress strain information and the second stress strain information to obtain the target stress strain information of the mesh to be detected, so that the combination The data collected by the displacement sensor and the data collected by the camera are used to determine the target stress and strain information, which improves the accuracy of obtaining the target stress and strain information.

Description of the drawings

In order to explain the embodiments of the present application or the technical solutions in the prior art more clearly, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts.

Figure 1A is a schematic structural diagram of a mesh stress and strain information acquisition system provided by an embodiment of the present application;

Figure 1B provides a schematic diagram of the setup of a camera group according to an embodiment of the present application;

Figure 2A is a schematic flow chart of a method for obtaining mesh stress and strain information according to an embodiment of the present application;

Figure 2B is a schematic diagram of an image detection area of a mesh to be detected according to an embodiment of the present application;

Figure 2C provides a schematic diagram of a first sub-stress-strain curve according to an embodiment of the present application;

Figure 2D provides a schematic diagram of a first coordinate system according to an embodiment of the present application;

Figure 3 is a schematic structural diagram of a terminal provided by an embodiment of the present application;

Figure 4 is a schematic structural diagram of a mesh stress and strain information acquisition device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this application.

The terms "first", "second", etc. in the description and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than describing a specific sequence. Furthermore, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes Other steps or units inherent to such processes, methods, products or devices.

Reference in this application to "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

In order to better understand the method for obtaining stress and strain information of mesh provided by the embodiment of the present application, the following first briefly introduces the existing method of obtaining stress and strain information of mesh. In existing solutions, for example, in a solution applied to geological disaster detection, the mesh is laid in areas where geological disaster detection is required, such as on mountain slopes, and the stress and strain information of the mesh is detected by sensors. And send the collected information to the analysis unit for analysis and processing, and finally perform early warning processing when early warning is needed. However, in this solution, only sensors are used to collect the stress and strain information of the laid mesh and used for subsequent early warning processing. Since the sensor The limitations of this technology lead to the fact that when detecting stress and strain on a mesh, it is easy to find that the stress and strain information in some places can only be obtained through estimation, or the stress and strain information is directly omitted, resulting in the final stress and strain information of the mesh being obtained. Accuracy is reduced.

Embodiments of the present application aim to solve the above problems and provide a method for obtaining stress and strain information of a mesh. The first strain information of the mesh to be detected can be obtained through a displacement sensor to determine the first stress and strain information, and the first stress and strain information can be obtained through a camera. Detect the first image of the mesh to determine the second stress and strain information, and finally fuse the first stress and strain information and the second stress and strain information to obtain the target stress and strain information of the mesh to be detected, so that the data collected by the displacement sensor can be combined and the data collected by the camera to determine the target stress and strain information, which improves the accuracy of obtaining the target stress and strain information.

The mesh stress and strain information acquisition method is applied to the mesh stress and strain information acquisition system. Figure 1A shows a schematic structural diagram of a mesh stress and strain information acquisition system. As shown in Figure 1A, the mesh stress and strain information acquisition system includes k displacement sensors, camera groups, stress application devices, light sources and processing equipment. Among them, the displacement sensor can be set at the four vertices of the mesh to be detected, as well as the midpoint between each vertex, etc. As shown in Figure 1B, the camera group includes two measuring heads, and the camera group is set at the mesh to be inspected. On both sides of the film, there is a certain collection distance between the camera group and the mesh to be detected. The light source is used to fill in the light when the camera group collects images to enhance the quality of the collected images. Specifically, the k displacement sensors can collect the strain information of the mesh to be detected during the period when the mesh to be detected is applied with a preset stress, and transmit the strain information to the processing equipment. The camera group can also send the strain information to the mesh to be detected during the stress application device. During the preset stress period of the mesh time, multiple images are collected and sent to the processing equipment. The processing equipment performs stress analysis and processing on the mesh to be detected based on the received strain information image to obtain the stress and strain information of the mesh to be detected. , and use this stress and strain information for subsequent early warning, detection, etc. The cameras in the camera group can be binocular cameras. Before image acquisition, speckle calibration of the mesh to be detected needs to be performed, so that the collected images can be speckle images, which can be used for subsequent acquisition of strain information.

Please refer to FIG. 2A. FIG. 2A is a schematic flow chart of a method for obtaining mesh stress and strain information according to an embodiment of the present application. As shown in Figure 2A, this method is applied to the mesh stress and strain information acquisition system. The method includes:

S201. Obtain strain information during the period when a preset stress is applied to the mesh to be detected through k displacement sensors arranged on the mesh to be detected, so as to obtain k first strain information.

Among them, the mesh to be detected can be the mesh when concrete is poured. The mesh here can be the mesh on which concrete is poured. Specifically, it can be understood that the surface of the mesh is covered with concrete, and the concrete here has been solidified. The surface of the mesh is concrete. When the concrete is poured, due to the limitations of the pouring process, different textures usually appear on the surface. Of course, it can also be other meshes that need to obtain stress and strain information, such as meshes that detect geological disasters, etc.

When acquiring stress and strain information on a mesh, a displacement sensor or the like can be set at a preset position of the mesh. The preset position can be, for example, the four vertices of the mesh to be detected, and the midpoint between each vertex. , specifically as shown in Figure 1A.

When obtaining the first strain information, the strain information of the strain detection area corresponding to each displacement sensor may be obtained respectively, thereby obtaining k pieces of first strain information. Specifically, the strain information may be collected through a displacement sensor in each strain detection area, thereby obtaining the first strain information. Of course, the strain information can also be collected through other sensors, such as strain gauges, etc.

The preset stress can be a vertical concentrated load applied at the center of the mesh to generate the preset stress through the load. The center position of the mesh can be understood as the center position of a certain plane of the mesh, as shown in Figure 1A. The magnitude of the preset stress may vary according to a preset change curve, for example, it may vary linearly. Since the preset stress is applied at the center of the mesh, the specific force acting on each strain detection area of the mesh will be different. Therefore, when determining the first stress and strain information, each strain detection area can be determined separately. The stress and strain information is obtained, and finally the first stress and strain information of the mesh to be detected is determined based on the stress and strain information of each strain detection area. The preset stress is continuously applied to the center of the mesh.

S202. Determine the first stress and strain information of the mesh to be detected based on k pieces of the first strain information and the preset stress.

The component of the preset stress in each strain detection area can be obtained, and the sub-stress and strain information corresponding to each strain detection area can be determined based on the component and the corresponding first strain information, and finally based on the multiple sub-stress and strain information to determine the first stress and strain information. For example, the sub-stress and strain information corresponding to each strain detection area may be correlated and fused to obtain the first stress and strain information.

S203. Use the camera to acquire n first images during the period when the mesh to be detected is subjected to a preset stress.

Wherein, n first images of the mesh to be detected during a time-preset stress period can be obtained through a camera, and the n first images can include images corresponding to the image detection areas of the mesh to be detected collected at multiple acquisition times. For example, the mesh to be detected has four image detection areas, as shown in Figure 2B. At each collection moment, images are collected from the four image detection areas simultaneously to obtain the corresponding first image. Of course, you can also directly collect images of the mesh to be detected to obtain a complete image of the mesh to be detected, etc.

S204. Determine the second strain information of the mesh to be detected through n pieces of the first images.

If the image to be detected is divided into image detection areas, when determining the second strain information, the images in the image detection areas need to be spliced to form a complete image of the mesh to be detected, and the second strain information is determined through the complete image. . It may also be that the strain characteristic information of each image detection area in the complete image is obtained, and the second strain information is determined based on the strain characteristic information. The strain characteristic information may be, for example, the amount of strain caused by the strain of the mesh to be detected, etc.

If the image is collected directly on the mesh to be detected and a complete image of the mesh to be detected is obtained, the second strain information can be determined directly based on the complete image. Specifically, for example, the complete image corresponding to each collection time is obtained, the difference information in the complete image is obtained in the chronological order of the collection time, and the difference information is determined as the second strain information, etc.

S205. Determine the second stress and strain information of the mesh to be detected based on the second strain information and the preset stress.

The strain information corresponding to each strain detection area can be determined based on the second strain information, and the second stress strain information can be determined based on the strain information corresponding to each strain detection area and the preset stress. For details, reference may be made to the method of determining the first stress strain information based on the k pieces of first strain information and the preset stress in the aforementioned embodiments, which will not be described again here.

S206: Perform data fusion processing on the first stress strain information and the second stress strain information to obtain the target stress strain information of the mesh to be detected.

Among them, the stress strain curve corresponding to the first stress strain information and the second stress strain information can be constructed, and then the non-overlapping part between the two stress strain curves is extracted, and the fused stress strain is determined based on the non-overlapping part. The information covers and replaces the stress strain curve to obtain the fused target stress strain curve, and the target stress strain information is determined based on the target stress strain curve. The target stress-strain information may be a functional expression of the target stress-strain curve, etc.

In this example, k displacement sensors arranged on the mesh to be detected are used to obtain strain information during the period when the mesh to be detected is subjected to a preset stress, so as to obtain k first strain information. According to the k first strains information and the preset stress, determine the first stress and strain information of the mesh to be detected, obtain n first images during the period when the mesh to be detected is subjected to the preset stress, and obtain n first images through the nth images of the mesh to be detected. An image to determine the second strain information of the mesh to be detected. According to the second strain information and the preset stress, determine the second stress and strain information of the mesh to be detected. For the first stress The strain information and the second stress and strain information are subjected to data fusion processing to obtain the target stress and strain information of the mesh to be detected. Therefore, the first strain information of the mesh to be detected can be obtained through a displacement sensor to determine the first strain information. stress and strain information, and obtain the first image of the mesh to be detected through the camera to determine the second stress and strain information, and finally fuse the first stress and strain information and the second stress and strain information to obtain the target stress and strain information of the mesh to be detected , so that the data collected by the displacement sensor and the data collected by the camera can be combined to determine the target stress and strain information, which improves the accuracy of obtaining the target stress and strain information.

In a possible implementation, since the preset stress is applied to the center of the mesh to be detected, the force exerted by the preset stress on each strain detection area on the mesh to be detected will be different. If each strain is directly targeted, Using the same stress in the detection area and combining it with the corresponding strain information to determine the stress-strain curve will lead to errors in determining the stress-strain curve. In scenarios with high accuracy requirements, the accuracy of obtaining the stress-strain curve cannot be met. Therefore, This example provides a method of determining the first stress and strain information of the mesh to be detected based on k pieces of the first strain information and the preset stress. Each strain detection area can be specifically analyzed for its stress. The stress and the stress and strain information are determined based on the stress and the corresponding strain information, which can improve the accuracy of obtaining the stress and strain information, as follows:

A1. Obtain the components of the preset stress in the first strain detection areas respectively corresponding to k pieces of the first strain information, so as to obtain k first components;

A2. Determine k first sub-stress and strain information based on k first component forces and k first strain information;

A3. Determine the first stress and strain information based on k pieces of the first sub-stress and strain information.

The preset stress can be determined based on the relative position information between the stress application area of the preset stress and the first strain detection area, the material information and structural information of the mesh to be detected, and the surface texture information of the first strain detection area. The stress component in each first strain detection area to obtain k first components.

The stress-strain curve can be determined according to the first component force and the corresponding first strain information to obtain the first sub-stress-strain information. Specifically, a stress-strain curve can be constructed by using the first force component as the horizontal axis and the first strain information as the vertical axis, thereby obtaining the first sub-stress-strain information. Of course, the first sub-stress and strain information can also be characterized by the functional expression of the stress-strain curve.

Among them, when constructing a stress-strain curve with the first force component as the horizontal axis and the first strain information as the vertical axis to obtain the first sub-stress-strain information, since the size of the preset stress can be changed, it can be used at each A strain detection area generates multiple first component forces, and the corresponding strain information is collected for each first component force, and then the corresponding first component force can be constructed based on the multiple first component forces and the corresponding first strain information. The first sub-stress strain curve of the first strain detection area. Specifically, a first strain detection area is used as an example for illustration. The magnitude of the applied preset stress changes periodically through a certain period, for example, after L times of changes. For example, the magnitude of the preset stress changes from small to small. L changes are made in a large way, and the change value at each change is the same. L first component forces will be generated for the first strain detection area, and the first strains corresponding to the L first component forces can also be collected. information. Therefore, the initial first sub-stress strain curve can be constructed based on the L first component forces and the corresponding first strain information, as shown in Figure 2C. Figure 2C shows an initial first sub-stress strain curve. Adjacent stress and strain points are connected by straight lines. Usually, straight-line connections can reflect the changing trend of stress and strain, but they cannot accurately reflect the relationship between real stress and strain information that has not been collected.

When performing stress and strain analysis on the first strain detection area, the first stress corresponding to the first strain detection area can be obtained through stress decomposition. However, after the stress acts on the first strain detection area, the first strain detection area will be detected according to the first strain detection area. Different textures on the surface of the area will produce different strains under the action of first stresses of different sizes. For example, when the first stress value (the stress value of the first stress) is less than the first critical stress value, the first strain detection area The strain may be a fixed value (the strain amount is very small). When the first stress value exceeds the first critical stress value but is less than the second critical stress value, the strain in the first strain detection area may be a nonlinear transformation, When the first stress value exceeds the second critical stress value, it may have damaged the first strain detection area, and there is no need to analyze the mesh to be detected at this time. Therefore, the acquired initial first sub-stress-strain curve usually reflects the changing characteristics of the first strain detection area before damage occurs. Since when the first stress value exceeds the first critical stress value but is less than the second critical stress value, the stress and strain have a nonlinear transformation relationship, the initial first sub-stress-strain curve can also be adjusted to obtain the third A sub-stress-strain curve to improve the accuracy of the first sub-stress-strain curve. For example, after constructing the initial first sub-stress-strain curve, the texture information of the first strain detection area corresponding to the first component force can also be obtained, and the initial first sub-stress-strain curve can be adjusted according to the texture information to obtain the first sub-stress-strain curve.

In existing solutions, when performing stress-strain analysis on mesh, structures with concrete, etc., the roughness of the concrete surface is usually used to adjust the stress-strain analysis results (for example, stress-strain curves, etc.). Although the roughness of the concrete surface Roughness can reflect the porosity of the concrete surface. However, during the concrete pouring process, there are many scenarios where the concrete surface will be smoothed and polished (for example, using cement for smooth polishing) to achieve the roughness of the concrete surface. This reduces the accuracy when using roughness to adjust the stress-strain analysis results. In this solution, when the texture information of the first strain detection area of the mesh to be detected is used to adjust the initial first sub-stress-strain curve, Since the texture information is obtained by scanning with a scanning device, during scanning, the surface texture information and internal structural textures of the area to be detected can be obtained, so that the initial first sub-stress-strain curve can be adjusted using the surface texture information and internal structural textures. , the first sub-stress-strain curve is obtained.

Specifically, the slope at each first stress-strain point in the initial first sub-stress-strain curve is determined based on the surface texture information and the internal structural texture to obtain L slopes. Among them, the internal structural texture can be understood as when pouring concrete outside the mesh. Due to the structural influence of the mesh on the concrete, after the concrete solidifies, internal structural texture will be formed inside it along the structure of the mesh. For example, if the surface texture, internal structural texture, etc. indicated by the surface texture information are vertical textures in the conduction direction of the first stress, then when the first stress increases, the corresponding strain amount and the first stress value will tend to is in a linear relationship, then the slope at the corresponding stress strain point tends to be stable; the surface texture, internal structure texture, etc. indicated by the surface texture information are horizontal textures in the conduction direction of the first stress, then when the first stress increases , the corresponding strain amount will become higher and higher. Specifically, it can be understood that the greater the first stress, the greater the corresponding strain amount, and the greater the slope at the corresponding stress strain point. Specifically, the angle between the horizontal lines and the conduction direction of the first stress can be obtained. The larger the angle is, the corresponding strain will be higher and higher when the first stress increases, and the slope will increase. , the smaller the included angle is, the corresponding strain will be higher and higher when the first stress increases, but the increase in slope will be smaller than the increase in slope of the included angle that is higher than the included angle. quantity. Therefore, the slope at each stress strain point can be determined based on the relationship between the above-mentioned surface texture, first stress, and first strain information, and the initial first sub-stress-strain curve can be adjusted according to the slope to obtain the first sub-stress curve. The stress-strain curve can be specifically shown in FIG. 2C . FIG. 2C shows a schematic diagram of the first sub-stress-strain curve when the surface texture indicated by the surface texture information is a horizontal texture in the conduction direction of the first stress.

The method of determining the first stress and strain information based on the k first sub-stress and strain information may be: fusing the k first sub-strain information to obtain the first stress and strain information. For example, the k first sub-strain information may be fused according to the corresponding strain detection areas to obtain the first stress strain information, and the first stress strain information includes the characteristics of the k first sub-stress strain information.

In this example, the stress experienced by each first strain detection area can be specifically analyzed, and the stress and strain information can be determined based on the stress and corresponding strain information, which can improve the accuracy of obtaining the stress and strain information.

In a possible implementation, when obtaining the component force of each strain detection area, a commonly used method for obtaining the component force may be to use the mechanical decomposition method to decompose the preset stress, thereby obtaining the component force of each strain detection area, When the mechanical decomposition method is used for specific decomposition, the accuracy of the force components obtained will be reduced due to the influence of materials and other factors. Therefore, the embodiment of the present application provides a method to obtain the preset stress in k The first strain information corresponds to the component forces of the strain detection area respectively, so as to obtain k first component forces. The method can be determined based on the positional relationship between the strain detection area and the stress application area, the material of the mesh to be detected, etc. Preset the stress component in each first strain detection area to obtain the first component force, which can improve the accuracy of obtaining the first component force, as follows:

B1. Determine k first strain detection areas based on k pieces of the first strain information;

B2. Obtain the relative position information between the k first strain detection areas and the stress application area of the preset stress to obtain the k first relative position information;

B3. Obtain the material information and structural information of the mesh to be detected;

B4. Determine the stress transmission loss information according to the material information and the structural information;

B5. Determine the k first stress loss information based on the k first relative position information and the stress transfer loss information;

B6. Determine k reference force components based on k pieces of the first stress loss information and the preset stress;

B7. Obtain the surface texture information of k first strain detection areas to obtain k first surface texture information;

B8. Determine the stress loss information of the corresponding first strain detection area based on k pieces of the first surface texture information to obtain k pieces of second stress loss information;

B9. Determine the corresponding first component based on the second stress loss information corresponding to the k reference components to obtain k first components.

Among them, the strain detection area corresponding to the k pieces of first strain information can be determined according to the generation area of the strain information. Of course, the first strain detection area can also be determined directly based on the detection area of the displacement sensor. Specifically, the detection area of the displacement sensor can be determined as the first strain detection area.

The first coordinate system can be established according to the space where the mesh to be detected is located. The first coordinate system can be established with the center of the mesh to be detected as the origin, with the long side of the mesh to be detected being the x-axis, and the short side being the y-axis. The first coordinate system is shown in Figure 2D. The position information of the first strain detection area may be marked by the position of the center point of the first strain detection area and the position of the corresponding vertex, and the relative position information between the first strain detection area and the stress application area may be: by stress application The position of the region is represented by a position vector between the position of the center point of the first strain detection region and the position of the corresponding vertex. Specifically, for example, the position of the stress application region and the first position vector of the position of the center point of the first strain detection region. , the second position vector between the position of the stress application area and the plurality of vertices of the first strain detection area, the sum of the first vector and the second vector is determined as the relative position between the first strain detection area and the stress application area. location information.

The material information of the mesh to be detected can be obtained from the attribute parameters of the mesh to be detected, and the structural information can be obtained from the structural drawings of the mesh to be detected. Since different materials will produce different attenuations in the conduction of force, and different physical structures will also produce different attenuations in the conduction of force, it can be based on the attenuation relationship of the material's conduction of force and the conduction of force by the physical structure. The attenuation relationship determines the stress loss information. The stress loss information can be understood as the rate at which the preset stress attenuates after being transmitted through the mesh to be detected.

Because when force is conducted in an object, its loss is also related to the conduction distance. The longer the conduction distance, the greater the attenuation, and the shorter the distance, the smaller the attenuation. Therefore, the first stress loss information can be determined based on the first relative position information and the stress transfer loss information. Specifically, the first relative position information can be used to determine the corresponding stress loss information, and the stress loss information (attenuation magnification) and the stress transfer loss can be determined. The product of the information (attenuation magnification) is determined as the first stress loss information.

The preset stress can be analyzed and processed according to the general mechanical analysis method to obtain the force of the preset stress in each strain detection area. The force can be directly generated by the preset stress, or the preset stress can be applied to the strain detection area. The force generated is transferred to the area near the strain detection area. The acting force may be a standard force used for reference, and the product of the standard force and the attenuation factor in the stress loss information is determined as the reference component force.

The surface texture information of the first strain detection area may be obtained through texture scanning. Specifically, it can be scanned using a general texture scanning method. Since the surface texture of the strain detection area will affect the conduction of force, different textures will have different effects on the conduction of force. For example, vertical textures in the direction of force conduction will reduce the conduction attenuation of force. In the conduction of force, Horizontal lines in the direction will increase the conduction attenuation of force. Specifically, different texture types have corresponding conduction attenuation magnifications, so that the second stress loss information can be determined based on the texture type of the surface texture information in the first strain detection area.

The product of the reference component force and the second stress loss information can be determined as the corresponding first component force, so that k first component forces can be obtained.

In this example, the component of the preset stress in each strain detection area can be determined based on the positional relationship between the strain detection area and the stress application area, the material of the mesh to be detected, etc., and the first component can be obtained, so that It can improve the accuracy of obtaining the first component of force.

In a possible implementation, a method of determining second strain information of the mesh to be detected through n first images includes:

C1. Classify n first images to obtain q first image sets, and the q first image sets correspond one-to-one to the q image detection areas of the mesh to be detected;

C2. Acquire m first image groups from q first image sets, the first image group includes q first images, and the images in the first image group are the to-be-used images collected at the same acquisition time. Detect images of q image detection areas of the mesh, where m and q are integers less than n;

C3. Perform alignment and splicing processing on the first images in the m first image groups to obtain m second images, where the second images are complete images of the mesh to be detected;

C4. Obtain the strain characteristic information corresponding to each image detection area in the m second images to obtain m strain characteristic information sets;

C5. Determine the second strain information according to m sets of strain characteristic information.

The method for classifying n first images may be to use a general image classification processing method to perform classification processing to obtain q first image sets. It may also be that the collection device identification corresponding to the first image is obtained, and classification processing is performed according to the collection device identification to obtain q first image sets. Specifically, the image detection areas collected by different collection devices are different, so that the corresponding first image set can be accurately and quickly obtained according to the device identification of the collection device.

It is necessary to obtain the collection time corresponding to each first image, and determine the first images with the same collection time as images in the first image group, thereby obtaining m first image groups. The first images in the first image group can be spliced to obtain the second image. Before splicing the first images in the first image group, the first images in the first image group need to be aligned, that is, the coordinates of the pixel points of the first image in the first image group are converted to Coordinates in the same coordinate system to complete the alignment process. Perform splicing processing according to the coordinates of each pixel point in the first image in the first image group to obtain a second image. Specifically, the boundary pixels between different first images may be merged and spliced to obtain the second image, or the boundary pixels between different first images may be adjacent to each other in corresponding positions. The second image can be obtained by splicing according to the setting method, which can improve the efficiency of image splicing.

The strain characteristic information corresponding to each image detection area in the second image may be the amount of strain at which the mesh to be detected is strained, etc. Specifically, a general image strain detection method may be used to obtain the strain amount of the image detection area between every two acquisition moments, and the second strain information may be determined based on the strain amount.

The second strain information includes strain information of each image detection area within the time period of image acquisition.

In this example, the second strain information of the mesh to be detected is determined through n first images, and the strain information can be obtained from the perspective of image processing, which improves the diversity of strain information acquisition.

In a possible implementation, when performing strain information fusion processing, the mean processing method of strain information is usually used for fusion, etc. The mean processing method will cause the fusion feature to be lost and reduce the time required to obtain stress strain information. Therefore, the embodiment of the present application provides a method of performing data fusion processing on the first stress strain information and the second stress strain information to obtain the target stress strain information of the mesh to be detected, which can Fusion of stress and strain information through strain curve fusion can reduce the loss of strain features and improve the accuracy of stress and strain information, as follows:

D1. Construct a first stress strain curve according to the first stress strain information;

D2. Construct a second stress strain curve according to the second stress strain information;

D3. Extract the non-overlapping portion of the first stress-strain curve and the second stress-strain curve;

D4. Perform strain information fusion on the non-overlapping parts to obtain fused strain information;

D5. Process the non-overlapping portions of the first stress-strain curve and the second stress-strain curve according to the fused strain information to obtain a target stress-strain curve.

D6. Determine the target stress strain information according to the target stress strain curve.

The first stress-strain curve and the second stress-strain curve can be constructed by using the stress value as the horizontal axis and the strain value as the vertical axis.

Since the first stress-strain curve and the second stress-strain curve are obtained by different methods, the first stress-strain curve and the second stress-strain curve may have different parts, that is, non-overlapping parts.

The method of performing strain information fusion on the non-overlapping parts to obtain the fused strain information may be:

A first non-overlapping portion of the first stress-strain curve at the non-overlapping portion and a second non-overlapping portion of the second stress-strain curve can be obtained; the first change characteristic of the first non-overlapping portion can be obtained, and the second non-overlapping portion can be obtained. The second change characteristic of the overlapping part; obtain the first change characteristic and the second change characteristic to determine the fusion change characteristic; determine the fusion according to the fusion change characteristic, the stress strain value of the first non-overlapping part and the stress strain value of the second non-overlapping part The subsequent strain information.

Specifically, the method for obtaining the first change characteristics of the first non-overlapping part may be to obtain the slopes of the first non-overlapping part at p first sampling points through differentiation to obtain p first slopes, according to The p first slopes and p first sampling points determine the first change characteristics. According to the p first slopes and p first sampling points, the method of determining the first change characteristic may be: determining the slope curve according to the p first sampling points and p first slopes to obtain the first change characteristic.

Through the same method, when obtaining the second change characteristic of the second non-overlapping part, the corresponding second slope is obtained at p second sampling points, and based on the p second slopes and p second sampling points, the For the second change characteristic, the abscissas of the first sampling points corresponding to the p second sampling points are the same.

The method for determining the fusion change characteristic based on obtaining the first change characteristic and the second change characteristic may be to average the slopes of the corresponding sampling points in the first change characteristic to obtain the slope mean, and finally calculate the slope mean and the horizontal slope of the sampling point according to the slope mean and the horizontal slope of the sampling point. coordinates to determine the fusion change characteristics (fusion slope curve). In the fusion slope curve, the abscissa is the stress value of the sampling point, and the ordinate is the corresponding slope mean.

The mean value of the strain values in the non-overlapping portions of the first stress-strain curve and the second stress-strain curve can be obtained, and the corresponding stress values and strain values are determined as the corresponding stress values and strain values in the target stress-strain curve. When constructing the target stress-strain curve, set the slope of the points at the non-overlapping part to the corresponding slope in the fusion slope curve (that is, the points with the same abscissa are the corresponding points, so that the slope can be obtained). The construction of the target stress-strain curve can improve the smoothness and accuracy of the target stress-strain curve.

Consistent with the above embodiment, please refer to Figure 3. Figure 3 is a schematic structural diagram of a terminal provided by an embodiment of the present application. As shown in the figure, it includes a processor, an input device, an output device and a memory. The processor, the input device , the output device and the memory are connected to each other, wherein the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes a program for performing the following steps: instruction;

Obtain the strain information during the period when the mesh to be detected is subjected to a preset stress through k displacement sensors arranged on the mesh to be detected, to obtain k first strain information;

Determine the first stress and strain information of the mesh to be detected based on k pieces of the first strain information and the preset stress;

Obtain n first images through a camera during the period when the mesh to be detected is subjected to a preset stress;

Determine the second strain information of the mesh to be detected through n first images;

Determine the second stress and strain information of the mesh to be detected according to the second strain information and the preset stress;

Data fusion processing is performed on the first stress strain information and the second stress strain information to obtain the target stress strain information of the mesh to be detected.

In this example, the first strain information of the mesh to be detected can be obtained through a displacement sensor to determine the first stress and strain information, and the first image of the mesh to be detected can be obtained through a camera to determine the second stress and strain information. Finally, the The first stress strain information and the second stress strain information are fused to obtain the target stress strain information of the mesh to be detected, so that the target stress strain information can be determined by combining the data collected by the displacement sensor and the data collected by the camera, thereby improving the target stress strain Accuracy of information at the time it was obtained.

The above mainly introduces the solution of the embodiment of the present application from the perspective of the execution process on the method side. It can be understood that, in order to implement the above functions, the terminal includes hardware structures and/or software modules corresponding to each function. Persons skilled in the art should easily realize that, with the units and algorithm steps of each example described in conjunction with the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is performed by hardware or computer software driving the hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered beyond the scope of this application.

Embodiments of the present application can divide the terminal into functional units according to the above method examples. For example, each functional unit can be divided corresponding to each function, or two or more functions can be integrated into one processing unit. The above integrated units can be implemented in the form of hardware or software functional units. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical function division. In actual implementation, there may be other division methods.

Consistent with the above, please refer to FIG. 4 , which is a schematic structural diagram of a device for obtaining mesh stress and strain information according to an embodiment of the present application. As shown in Figure 4, the mesh stress and strain information acquisition device includes:

The first acquisition unit 401 is used to acquire the strain information during the period when the mesh to be detected is subjected to a preset stress through k displacement sensors arranged on the mesh to be detected, so as to obtain k first strain information;

The first determination unit 402 is configured to determine the first stress strain information of the mesh to be detected based on k pieces of the first strain information and the preset stress;

The second acquisition unit 403 is used to acquire n first images through a camera during the period when the mesh to be detected is subjected to a preset stress;

The second determination unit 404 is configured to determine the second strain information of the mesh to be detected through n first images;

The third determination unit 405 is configured to determine the second stress and strain information of the mesh to be detected based on the second strain information and the preset stress;

The fusion unit 406 is configured to perform data fusion processing on the first stress strain information and the second stress strain information to obtain the target stress strain information of the mesh to be detected.

In a possible implementation, the first determining unit 402 is used to:

Obtain the components of the preset stress in the strain detection areas respectively corresponding to the k pieces of the first strain information, so as to obtain k first components;

Determine k first sub-stress and strain information based on k first component forces and k first strain information;

The first stress and strain information is determined according to k pieces of the first sub-stress and strain information.

In a possible implementation, in terms of obtaining the components of the preset stress in the k strain detection areas respectively corresponding to the first strain information to obtain k first components, the first The determining unit 402 is used for:

Determine k first strain detection areas based on k pieces of the first strain information;

Obtain the relative position information between the k first strain detection areas and the stress application area of the preset stress to obtain the k first relative position information;

Obtain the material information and structural information of the mesh to be detected;

Determine stress transfer loss information according to the material information and the structural information;

Determine k pieces of first stress loss information based on the k pieces of first relative position information and the stress transfer loss information;

Determine k reference force components according to k pieces of the first stress loss information and the preset stress;

Obtain surface texture information of k first strain detection areas to obtain k first surface texture information;

Determine the stress loss information of the corresponding first strain detection area according to the k pieces of first surface texture information to obtain k pieces of second stress loss information;

The corresponding first component is determined based on the second stress loss information corresponding to the k reference components to obtain k first components.

In a possible implementation, the second determining unit 404 is used to:

Classify n first images to obtain k first image sets, where the first image in the first image set corresponds to the image detection area of the mesh to be detected;

Perform alignment and splicing processing on the first images in the k first image sets to obtain m second images, the product of m and n is k, and the second image is the complete image of the mesh to be detected;

Obtain the strain characteristic information corresponding to each image detection area in the m second images to obtain m strain characteristic information sets;

The second strain information is determined based on m sets of strain characteristic information.

In a possible implementation, the fusion unit 406 is used for:

Construct a first stress-strain curve according to the first stress-strain information;

Construct a second stress-strain curve according to the second stress-strain information;

Extract non-overlapping portions of the first stress-strain curve and the second stress-strain curve;

Perform strain information fusion on the non-overlapping parts to obtain fused strain information;

The non-overlapping portions of the first stress-strain curve and the second stress-strain curve are processed according to the fused strain information to obtain a target stress-strain curve.

The target stress-strain information is determined according to the target stress-strain curve.

Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program causes the computer to execute any of the mesh stress strain information described in the above method embodiments. Get some or all of the steps of a method.

Embodiments of the present application also provide a computer program product. The computer program product includes a non-transitory computer-readable storage medium storing a computer program. The computer program causes the computer to execute any of the network methods described in the above method embodiments. Some or all steps of the method for obtaining sheet stress and strain information.

It should be noted that for the sake of simple description, the foregoing method embodiments are expressed as a series of action combinations. However, those skilled in the art should know that the present application is not limited by the described action sequence. Because in accordance with this application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily necessary for this application.

In the above embodiments, each embodiment is described with its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or may be Integrated into another system, or some features can be ignored, or not implemented. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the application can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or software program modules.

The integrated unit, if implemented in the form of a software program module and sold or used as an independent product, may be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or contributes to the existing technology, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, It includes several instructions to cause a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. The program can be stored in a computer-readable memory. The memory can include: a flash disk. , read-only memory, random access device, magnetic disk or optical disk, etc.

The embodiments of the present application have been introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and the core idea of the present application; at the same time, for Those of ordinary skill in the art will have changes in the specific implementation and application scope based on the ideas of the present application. In summary, the content of this description should not be understood as a limitation of the present application.

Claims (10)

1. A method for obtaining mesh stress and strain information, characterized in that the method for obtaining mesh stress and strain information includes: Obtain the strain information during the period when the mesh to be detected is subjected to a preset stress through k displacement sensors arranged on the mesh to be detected, to obtain k first strain information; Determine the first stress and strain information of the mesh to be detected based on k pieces of the first strain information and the preset stress; Obtain n first images through a camera during the period when the mesh to be detected is subjected to a preset stress; Determine the second strain information of the mesh to be detected through n first images; Determine the second stress and strain information of the mesh to be detected according to the second strain information and the preset stress; Data fusion processing is performed on the first stress strain information and the second stress strain information to obtain the target stress strain information of the mesh to be detected. 2. The method for obtaining mesh stress and strain information according to claim 1, wherein the first stress of the mesh to be detected is determined based on k pieces of the first strain information and the preset stress. Strain information, including: Obtain the components of the preset stress in the first strain detection areas respectively corresponding to k pieces of the first strain information, so as to obtain k first components; Determine k first sub-stress and strain information based on k first component forces and k first strain information; The first stress and strain information is determined according to k pieces of the first sub-stress and strain information. 3. The mesh stress and strain information acquisition method according to claim 2, characterized in that: obtaining the components of the preset stress in the k first strain detection areas respectively corresponding to the first strain information, To get k first components, including: Determine k first strain detection areas based on k pieces of the first strain information; Obtain the relative position information between the k first strain detection areas and the stress application area of the preset stress to obtain the k first relative position information; Obtain the material information and structural information of the mesh to be detected; Determine stress transfer loss information according to the material information and the structural information; Determine k pieces of first stress loss information based on the k pieces of first relative position information and the stress transfer loss information; Determine k reference force components according to k pieces of the first stress loss information and the preset stress; Obtain surface texture information of k first strain detection areas to obtain k first surface texture information; Determine the stress loss information of the corresponding first strain detection area according to the k pieces of first surface texture information to obtain k pieces of second stress loss information; The corresponding first component is determined based on the second stress loss information corresponding to the k reference components to obtain k first components. 4. The mesh stress and strain information acquisition method according to any one of claims 1 to 3, characterized in that the second strain information of the mesh to be detected is determined through n first images, include: Classify the n first images to obtain q first image sets, and the q first image sets correspond to the q image detection areas of the mesh to be detected; Obtain m first image groups from q first image sets, the first image group includes q first images, and the images in the first image group are the network to be detected collected at the same acquisition time. Images of the q image detection areas of the slice, m and q are integers less than n; Perform alignment and splicing processing on the first images in the m first image groups respectively to obtain m second images, where the second images are complete images of the mesh to be detected; Obtain the strain characteristic information corresponding to each image detection area in the m second images to obtain m strain characteristic information sets; The second strain information is determined based on m sets of strain characteristic information. 5. The mesh stress strain information acquisition method according to claim 4, characterized in that the first stress strain information and the second stress strain information are subjected to data fusion processing to obtain the to-be-detected The target stress and strain information of the mesh includes: Construct a first stress-strain curve according to the first stress-strain information; Construct a second stress-strain curve according to the second stress-strain information; Extract non-overlapping portions of the first stress-strain curve and the second stress-strain curve; Perform strain information fusion on the non-overlapping parts to obtain fused strain information; Process the non-overlapping portions of the first stress-strain curve and the second stress-strain curve according to the fused strain information to obtain a target stress-strain curve; The target stress-strain information is determined according to the target stress-strain curve. 6. A mesh stress and strain information acquisition device, characterized in that the mesh stress and strain information acquisition device includes: The first acquisition unit is configured to acquire the strain information during the period when the mesh to be detected is subjected to a preset stress through k displacement sensors arranged on the mesh to be detected, so as to obtain k first strain information; A first determination unit configured to determine the first stress strain information of the mesh to be detected based on k pieces of the first strain information and the preset stress; A second acquisition unit, configured to acquire n first images through a camera during the period when the mesh to be detected is subjected to a preset stress; A second determination unit, configured to determine the second strain information of the mesh to be detected through n pieces of the first images; A third determination unit, configured to determine the second stress strain information of the mesh to be detected based on the second strain information and the preset stress; A fusion unit configured to perform data fusion processing on the first stress strain information and the second stress strain information to obtain target stress strain information of the mesh to be detected. 7. The mesh stress and strain information acquisition device according to claim 6, characterized in that the first determination unit is used for: Obtain the components of the preset stress in the first strain detection areas respectively corresponding to k pieces of the first strain information, so as to obtain k first components; Determine k first sub-stress and strain information based on k first component forces and k first strain information; The first stress and strain information is determined according to k pieces of the first sub-stress and strain information. 8. The mesh stress and strain information acquisition device according to claim 7, wherein the component of the preset stress in the k first strain detection areas corresponding to the k pieces of the first strain information is obtained. , in order to obtain k first force components, the first determination unit is used for: Determine k first strain detection areas based on k pieces of the first strain information; Obtain the relative position information between the k first strain detection areas and the stress application area of the preset stress to obtain the k first relative position information; Obtain the material information and structural information of the mesh to be detected; Determine stress transfer loss information according to the material information and the structural information; Determine k pieces of first stress loss information based on the k pieces of first relative position information and the stress transfer loss information; Determine k reference force components according to k pieces of the first stress loss information and the preset stress; Obtain surface texture information of k first strain detection areas to obtain k first surface texture information; Determine the stress loss information of the corresponding first strain detection area according to the k pieces of first surface texture information to obtain k pieces of second stress loss information; The corresponding first component is determined based on the second stress loss information corresponding to the k reference components to obtain k first components. 9. A mesh stress and strain information acquisition system, characterized in that the mesh stress and strain information acquisition system includes: k displacement sensors, camera groups, stress application devices, light sources and processing equipment, the k displacement sensors, camera groups, stress application devices, light sources are communicatively connected to the processing equipment; Wherein, the processing device is used to perform the mesh stress and strain information acquisition method according to any one of claims 1-5. 10. A terminal, characterized in that it includes a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory are connected to each other, wherein the memory is used to store a computer program, the The computer program includes program instructions, and the processor is configured to call the program instructions to execute the mesh stress and strain information acquisition method according to any one of claims 1 to 5.