Crack early warning method for large-area field concrete

Abstract

The invention relates to the technical field of crack early warning of large-area field concrete, and discloses a crack early warning method of large-area field concrete, which comprises the following steps of: dividing a field into N areas, respectively carrying out sound wave detection on the N areas through a sound wave detector, generating a problem image data set VT when an unstable waveform appears in the sound wave detection process, and analyzing each image in the problem image data set VT, and identifying whether each image has a crack or not. According to the method, each image in a problem image data set VT obtained through sound wave detection is analyzed, whether cracks exist in each image or not is recognized, the width of each crack is output for the images with the cracks, the crack growth condition of each image is recorded regularly, and when the crack width exceeds a threshold value, the crack growth condition of each image is recorded regularly. And the data is sent to the management personnel, so that the prediction of the crack is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of crack early warning of large-area field concrete, and in particular to a crack early warning method of large-area field concrete. Background Art

[0002] Concrete is the main material for paving, and concrete itself is prone to cracking. When cracks develop to a certain extent or occur in the ground, it will cause damage to the road surface. Therefore, it is necessary to monitor the cracking of concrete buildings in a timely and effective manner, correctly judge its harmfulness and take corresponding remedial measures.

[0003] The most traditional method of crack monitoring is manual observation, which involves arranging special staff to regularly inspect concrete buildings and measuring the observed cracks using tools such as rulers. However, this method is time-consuming and laborious, and it is difficult to observe cracks inside large concrete structures with the naked eye;

[0004] In the prior art CN 108709856 A, a concrete structure crack monitoring and early warning system and early warning method are adopted, which mainly include a crack monitoring system and a crack safety assessment and early warning system. The crack monitoring system uses optical fiber and optical time domain reflection technology to realize three-dimensional monitoring of concrete cracks. The crack safety assessment and early warning system mainly uses computer and numerical simulation technology to realize the visualization of concrete crack monitoring data, and can make specific analysis and judgment on the harmfulness of cracks according to the actual situation of the project, and issue early warnings according to the judgment results;

[0005] In this method, optical fiber is used as a detection method, but using optical fiber deformation as a judgment method on large-area field concrete will greatly increase costs and waste resources. Therefore, a crack warning method for large-area field concrete is proposed. Summary of the invention

[0006] 1. Technical issues to be resolved

[0007] In view of the deficiencies in the prior art, the present invention provides a crack early warning method for large-area field concrete, which has the advantages of accurately measuring cracks and solves the above-mentioned technical problems.

[0008] (II) Technical solution

[0009] To achieve the above object, the present invention provides the following technical solutions:

[0010] According to a first aspect of the present invention, a method for early warning cracks in large-area field concrete is provided. The method comprises:

[0011] The field is divided into N areas, and the N areas are respectively subjected to acoustic wave detection by an acoustic wave detector;

[0012] If no unstable waveform appears during the acoustic wave detection process, the detection is terminated, and the acoustic wave detection is performed again after an interval of t0 time units;

[0013] If an unstable waveform appears during the acoustic wave detection process, the area where the unstable waveform appears is sequentially photographed by drone or manually taking aerial view image data of the field, and a problem image dataset VT is generated; wherein the expression of the problem image dataset VT is as follows:

[0014] VT={VT1,…,VT i ,…,VT n}

[0015] Among them, VT1, ..., VT i ,…,VT n represent the image data of the 1st area, ..., the i-th area, ..., and the n-th area, respectively, and the image data VT1, ..., VT i ,…,VT n These are all preprocessed images, and cracks in the preprocessed images appear black;

[0016] Each image in the problem image dataset VT is analyzed to identify whether there are cracks in each image, and the width of each crack is output for images with cracks. The crack growth of each image is recorded regularly, and when the crack width exceeds the threshold, the data is sent to the management staff.

[0017] Furthermore, each image in the problem image data set VT is analyzed to identify whether there is a crack in each image, and the width of each crack is output for the image with a crack, and the crack growth of each image is recorded regularly. When the crack width exceeds a threshold, the data is sent to the management staff, including:

[0018] For the i-th region image data VT i Perform crack analysis to identify the number of cracks in the i-th region;

[0019] Calculate the width of each crack in the i-th region. If any crack width D i，j If the threshold is exceeded, an alarm will be issued to the management personnel. If there is no crack width exceeding the threshold D0, the image data of the i-th area will be re-collected at fixed time intervals, and the growth of the cracks will be analyzed. When the iteration reaches the upper limit K, if there is still no crack width exceeding the threshold D0, the continued identification of the i-th area will be terminated.

[0020] Furthermore, the image data VT of the i-th region i Perform crack analysis to identify the number of cracks in the ith region, including:

[0021] For the i-th region image data VT i The area formed by all adjacent black pixels is identified as a crack;

[0022] Count the number of all cracks and output the corresponding image data VT of the i-th region i Medium Crack Dataset VT i，LF , its specific expression is as follows:

[0023] VT i，LF ={LF i，1 ,…,LF i，j ,…,LF i，M}

[0024] Among them, VT i，LF Indicates the image data VT of the i-th region i Medium crack dataset, LF i，1 ,…,LF i，j ,…,LF i，M Respectively represent the i-th region image data VT i The 1st, …, th, …, Mth crack images in the crack dataset.

[0025] Furthermore, the width of each crack in the i-th region is calculated. If any crack width D i，j If the crack width exceeds the threshold, an alarm is issued to the management personnel. If there is no crack width exceeding the threshold D0, the image data of the i-th area is recollected at a fixed time interval and the growth of the crack is analyzed, including:

[0026] For the i-th region image data VT i Medium Crack Dataset VT i，LF The jth crack image LF in i，j Establish an XOY coordinate system with the center point as the origin;

[0027] The starting point of the crack (x qs ,y qs ) and the longest extended point (x zd ,y zd ) z Perform calculations;

[0028] Select the distance perpendicular to the midline l z The closest distance and distributed at the starting point of the crack (x qs ,y qs ) and the longest extended point (x zd,y zd ) on both sides of the line (x a ,y a ) and (x b ,y b ), and the distance between the two points is taken as the width D of the jth crack in the i-th region i，j .

[0029] Furthermore, the perpendicular bisector l z The expression is as follows:

[0030]

[0031] Among them, x qs and qs Indicates the horizontal and vertical coordinates of the starting point of the crack in the XOY coordinate system, x zd and zd Indicates the horizontal and vertical coordinates of the point where the crack extends the longest in the XOY coordinate system, x z and z Respectively represent the perpendicular bisector l z The coordinates of the upper point, D i，j represents the width of the jth crack in the ith region.

[0032] Furthermore, the analysis of the growth of the cracks includes:

[0033] The width of the j-th crack in the ith region identified by the k-th iteration is D i，j k The growth of μ i，j k The width D of the jth crack in the ith region identified in the k-1th iteration i，j k-1 The growth of μ i，j k-1 By comparison, the change in the jth crack width increment Δμ in the i-th region is obtained. i，j ;

[0034] If Δμ i，j > 0, it is guaranteed that the measurement interval of the jth crack in the ith region is shortened under the premise of the iteration upper limit K. If Δμ i，j If ≤0, the measurement interval of the jth crack in the ith region will not be changed.

[0035] Furthermore, the change in the jth crack width increment in the i-th region Δμ i，j The calculation expression is as follows:

[0036]

[0037]

[0038] Δμ i,j =μ i，j k -μ i，j k-1

[0039] Among them, Δμ i，j represents the change in the jth crack width increment in the ith region, μ i，j k represents the width D of the jth crack in the ith region identified in the kth iteration i，j k The growth rate, μ i，j k-1 represents the width D of the jth crack in the ith region identified in the k-1th iteration i，j k-1 The growth rate, D i，j k represents the width of the jth crack in the ith region identified in the kth iteration, D i，j k-1 represents the width of the jth crack in the ith region identified in the k-1th iteration, D i，j represents the width of the jth crack in the ith region.

[0040] According to a second aspect of the present invention, a crack warning device for large-area field concrete is provided. The device comprises:

[0041] A detection module is used to divide the field into N areas and perform acoustic wave detection on each of the N areas using an acoustic wave detector;

[0042] The first judgment module is used to terminate the detection if no unstable waveform appears during the acoustic wave detection process, and perform the acoustic wave detection again after an interval of t0 time units;

[0043] The second judgment module is used to, if an unstable waveform appears in the acoustic wave detection process, sequentially take aerial image data of the field through drone or manual shooting for the area where the unstable waveform appears, and generate a problem image data set VT; wherein the expression of the problem image data set VT is as follows:

[0044] VT={VT1,…,VT i ,…,VT n}

[0045] Among them, VT1, ..., VT i ,…,VT n represent the image data of the 1st area, ..., the i-th area, ..., and the n-th area, respectively, and the image data VT1, ..., VT i ,…,VT nThese are all preprocessed images, and cracks in the preprocessed images appear black;

[0046] The output module is used to analyze each image in the problem image data set VT, identify whether there are cracks in each image, output the width of each crack for images with cracks, and regularly record the crack growth of each image. When the crack width exceeds the threshold, the data will be sent to the management staff.

[0047] According to a third aspect of the present invention, an electronic device is provided, comprising: a memory and a processor, wherein a computer program is stored in the memory, and the method is implemented when the processor executes the program.

[0048] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, wherein the program implements the method when executed by a processor.

[0049] Compared with the prior art, the present invention provides a crack early warning method for large-area field concrete, which has the following beneficial effects:

[0050] 1. The present invention analyzes each image in the problem image data set VT obtained by acoustic wave detection, identifies whether there are cracks in each image, outputs the width of each crack for images with cracks, and regularly records the crack growth of each image. When the crack width exceeds the threshold, the data is sent to the management personnel, thereby ensuring the prediction of the cracks.

[0051] 2. The present invention identifies the increment of cracks. If Δμ i，j >0, it ensures that the measurement interval of the ith crack in the ith area is shortened under the premise of the iteration upper limit K, and the data is sent to the staff, that is, when the crack width is found to increase, an early warning is issued to remind the staff to deal with it as early as possible, thereby avoiding further enlargement of the crack.

[0052] It should be understood that the contents described in the summary of the invention are not intended to limit the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The above and other features, advantages and aspects of the embodiments of the present invention will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. The accompanying drawings are used to better understand the present invention and do not constitute a limitation of the present invention. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0054] Figure 1A flow chart showing a crack early warning method for large-area field concrete according to an embodiment of the present invention is shown;

[0055] Figure 2 It shows a schematic structural diagram of a crack warning device for large-area field concrete according to an embodiment of the present invention;

[0056] Figure 3 A block diagram of an exemplary electronic device capable of implementing embodiments of the present invention is shown. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0059] Figure 1 A flow chart of a crack early warning method for large-area field concrete according to an embodiment of the present invention is shown, and the method includes:

[0060] S1. Divide the field into N areas, and perform acoustic wave detection on each of the N areas using an acoustic wave detector;

[0061] S2, when an unstable waveform appears during the acoustic wave detection process, execute step S3, if it is a stable waveform, end the detection, and perform acoustic wave detection again after an interval of t0 time units;

[0062] Unstable waveforms include sudden changes in peaks, dense waveform cycles, and peak values;

[0063] S3. For the area where unstable waveforms appear, the aerial view image data of the field is taken by drone or manually, and a problem image data set VT is generated;

[0064] The specific expression of the problem image dataset in step S3 is as follows:

[0065] VT={VT1,…,VT i ,…,VT n}

[0066] Among them, VT1, ..., VT i ,…,VT n represent the image data of the 1st area, ..., the i-th area, ..., and the n-th area, respectively, and the image data VT1, ..., VT i ,…,VT n are all pre-processed images. After processing, the cracks in the images are displayed in black. i ,…,VT n The photo was taken during the day. Since there were no cracks on the concrete floor, the image was affected by external light. After denoising and filtering (denoising and filtering are conventional technical means, which will not be described in detail in this case), the background color of the image was white, and there might be very few noise points. At the same time, the darkness of the cracks was obviously different from that of the concrete floor after being illuminated. Therefore, the processed image only had black crack pixels and a white background.

[0067] S4. Crack identification and judgment: including

[0068] S4.1, for the i-th region image data VT i Perform crack analysis to identify the number of cracks in the i-th region;

[0069] S4.1.1. For the i-th region image data VT i The area formed by all adjacent black pixels is identified as a crack;

[0070] S4.1.2. Count the number of all cracks and output the corresponding image data VT of the i-th region i Medium Crack Dataset VT i，LF , its specific expression is as follows:

[0071] VT i，LF ={LF i，1 ,…,LF i，j ,…,LF i，M}

[0072] Among them, VT i，LF Indicates the image data VT of the i-th region i Medium crack dataset, LF i，1 ,…,LF i，j ,…,LF i，M Respectively represent the i-th region image data VT i The first, ..., jth, ..., Mth crack images in the crack data set, and the crack data set VT that counts and outputs all cracks i，LF The data in the specific example is: for each crack, the output is the corresponding minimum rectangular frame diagram. The specific implementation method can be achieved by using the opencv rectangular frame method. Each rectangular frame selects the crack data set VTi，LF The crack image stored in each element;

[0073] S4.2. Calculate the width of each crack in the i-th region. If any crack width D i，j If the crack width exceeds the threshold, an alarm is issued to the management personnel. If there is no crack width exceeding the threshold D0, the image data of the i-th area is recollected at a fixed time interval and the growth of the crack is analyzed;

[0074] The specific process is:

[0075] S4.2.1a, for the i-th region image data VT i Medium Crack Dataset VT i，LF The jth crack image LF in i，j Establish an XOY coordinate system with the center point as the origin;

[0076] S4.2.2a, the starting point of the crack (x qs ,y qs ) and the longest extended point (x zd ,y zd ) z Perform calculations;

[0077] Perpendicular median z The expression is as follows:

[0078]

[0079] Among them, x qs and qs Indicates the horizontal and vertical coordinates of the starting point of the crack in the XOY coordinate system, x zd and za Indicates the horizontal and vertical coordinates of the point where the crack extends the longest in the XOY coordinate system, x z and z Respectively represent the perpendicular bisector l z The coordinates of the upper point, D i，j represents the width of the jth crack in the ith region;

[0080] S4.2.3a. Select the perpendicular bisector l z The closest distance and distributed at the starting point of the crack (x qs ,y qs ) and the longest extended point (x zd ,y zd ) on both sides of the line (x a ,y a ) and (x b ,y b ), and the distance between the two points is taken as the width D of the jth crack in the i-th regioni，j ;

[0081] For (x a ,y a ) and (x b ,y b ) is described in detail here:

[0082] Calculate the distance between all pixels in the jth crack of all i-th regions and the perpendicular line l z The specific expression is as follows:

[0083]

[0084] Among them, x qs and qs Indicates the horizontal and vertical coordinates of the starting point of the crack in the XOY coordinate system, x zd and zd Indicates the horizontal and vertical coordinates of the point where the crack extends the longest in the XOY coordinate system, x i,j，o ,y i，j，o are the horizontal and vertical coordinates of the oth point in the jth crack of the ith region, and o is on the perpendicular midline l z Above, the following constraints are satisfied:

[0085]

[0086] And select all l i，j，o The smallest point in the i,j，o ,y i,j，o ) from the starting point of the crack (x qs ,y qs ) and the longest extended point (x zd ,y zd ) has the largest midpoint distance, thus obtaining the point (x a ,y a );

[0087] Point (x b ,y b ) is obtained by the same process as point (x a ,y a ) are completely identical, differing only in the constraints, specifically:

[0088]

[0089] Among them, x i，j，o′ and i，j，o′ is the horizontal and vertical coordinates of the o′th point in the jth crack of the i-th region, and o′ is on the perpendicular midline l z below;

[0090] The width of the jth crack in the ith region Di，j The calculation expression is as follows:

[0091]

[0092] Among them, x a ,y a and x b ,y b Respectively represent the distance from the perpendicular bisector l z The closest distance and distributed at the starting point of the crack (x qs ,y qs ) and the longest extended point (x zd ,y zd ) in the XOY coordinate system;

[0093] The width of the jth crack in the ith region is D i，j After the calculation is completed, the iteration is performed to analyze the growth of the cracks. The width D of the jth crack in the i-th region identified by the k-th iteration is i，j k The growth of μ i，j k The width D of the jth crack in the ith region identified in the k-1th iteration i，j k-1 The growth of μ i，j k-1 By comparison, the change in the jth crack width increment Δμ in the i-th region is obtained. i，j , if Δμ i，j > 0, it is guaranteed that the measurement interval of the jth crack in the ith region is shortened under the premise of the iteration upper limit K, and the data is sent to the staff. i，j ≤0, the measurement interval of the jth crack in the ith region will not be changed;

[0094] The change in the width increment of the jth crack in the i-th region Δμ i，j The calculation expression is as follows:

[0095]

[0096]

[0097] Δμ i，j =μ i，j k -μ i，j k-1

[0098] Among them, Δμ i，j represents the change in the jth crack width increment in the ith region, μ i，j krepresents the width D of the jth crack in the ith region identified in the kth iteration i，j k The growth rate, μ i，j k-1 represents the width D of the jth crack in the ith region identified in the k-1th iteration i，j k-1 The growth rate, D i，j k represents the width of the jth crack in the ith region identified in the kth iteration, D i，j k-1 represents the width of the jth crack in the ith region identified in the k-1th iteration, D i，j represents the width of the jth crack in the ith region

[0099] S4.3. When the iteration in step S4.2 reaches the iteration upper limit K, if there is still no crack width exceeding the threshold D0, the continued identification of the i-th area is terminated, and a signal indicating that the area is safe is sent to the management personnel.

[0100] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described order of actions, because according to the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0101] The above is an introduction to a method embodiment. The following is a further explanation of the solution of the present invention through an apparatus embodiment.

[0102] Figure 2 The schematic diagram of the structure of a crack warning device for large-area concrete floor according to an embodiment of the present invention is shown; the device comprises:

[0103] The detection module 201 is used to divide the field into N areas and perform acoustic wave detection on each of the N areas using an acoustic wave detector;

[0104] The first judgment module 202 is used to terminate the detection if no unstable waveform appears during the acoustic wave detection process, and perform acoustic wave detection again after an interval of t0 time units;

[0105] The second judgment module 203 is used to, if an unstable waveform appears in the acoustic wave detection process, sequentially take aerial image data of the field through drone or manual shooting for the area where the unstable waveform appears, and generate a problem image data set VT; wherein the expression of the problem image data set VT is as follows:

[0106] VT={VT1,…,VT i ,…,VT n}

[0107] Among them, VT1, ..., VT i ,…,VT n represent the image data of the 1st area, ..., the i-th area, ..., and the n-th area, respectively, and the image data VT1, ..., VT i ,…,VT n These are all preprocessed images, and cracks in the preprocessed images appear black;

[0108] The output module 204 is used to analyze each image in the problem image data set VT, identify whether there are cracks in each image, output the width of each crack for images with cracks, and regularly record the crack growth of each image. When the crack width exceeds the threshold, the data is sent to the management staff.

[0109] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0110] In the technical solution of the present invention, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0111] According to an embodiment of the present invention, the present invention also provides an electronic device and a readable storage medium.

[0112] Figure 3 A schematic block diagram of an electronic device that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0113] The electronic device includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a ROM 302 or a computer program loaded from a storage unit 308 into a RAM 303. In the RAM 303, various programs and data required for the operation of the electronic device can also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An I / O interface 305 is also connected to the bus 304.

[0114] A number of components in the electronic device are connected to the I / O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a disk, an optical disk, etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 309 allows the electronic device to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0115] The computing unit 301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 301 performs the various methods and processes described above, such as a crack early warning method for large-area field concrete. For example, in some embodiments, the crack early warning method for large-area field concrete may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on an electronic device via ROM 302 and / or a communication unit 309. When the computer program is loaded into RAM 303 and executed by the computing unit 301, one or more steps of the crack early warning method for large-area field concrete described above may be executed. Alternatively, in other embodiments, the computing unit 301 may be configured to execute the crack early warning method for large-area floor concrete in any other appropriate manner (for example, by means of firmware).

[0116] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0117] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0118] In the context of the present invention, a readable storage medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A readable storage medium may be a machine-readable signal medium or a machine-readable storage medium. A readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. More specific examples of readable storage media may include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0119] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0120] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communications network). Examples of communications networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0121] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0122] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A crack early warning method for large-area field concrete, characterized in that: include: The field is divided into N areas, and the N areas are respectively subjected to acoustic wave detection by an acoustic wave detector; If no unstable waveform appears during the acoustic wave detection process, the detection is terminated, and the acoustic wave detection is performed again after an interval of t0 time units; If an unstable waveform appears during the acoustic wave detection process, the area where the unstable waveform appears is sequentially photographed by drone or manually taking aerial view image data of the field, and a problem image dataset VT is generated; wherein the expression of the problem image dataset VT is as follows: VT={VT1,…,VT i ,…,VT n } Among them, VT1,…,VT i ,…,VT n represent the image data of the 1st region, ..., the i-th region, ..., the n-th region, respectively, and the image data VT1, ..., VT i ,…,VT n These are all preprocessed images, and cracks in the preprocessed images appear black; Each image in the problem image dataset VT is analyzed to identify whether there are cracks in each image, and the width of each crack is output for images with cracks. The crack growth of each image is recorded regularly, and when the crack width exceeds the threshold, the data is sent to the management staff.

2. A crack early warning method for large-area field concrete according to claim 1, characterized in that: The method analyzes each image in the problem image data set VT, identifies whether each image has cracks, outputs the width of each crack for images with cracks, and regularly records the crack growth of each image. When the crack width exceeds a threshold, the data is sent to the management staff, including: For the i-th region image data VT i Perform crack analysis to identify the number of cracks in the i-th region; Calculate the width of each crack in the i-th region. If any crack width D i,j If the threshold is exceeded, an alarm will be issued to the management personnel. If there is no crack width exceeding the threshold D0, the image data of the i-th area will be re-collected at fixed time intervals, and the growth of the cracks will be analyzed. When the iteration reaches the upper limit K, if there is still no crack width exceeding the threshold D0, the continued identification of the i-th area will be terminated.

3. A crack early warning method for large-area field concrete according to claim 2, characterized in that: The i-th region image data VT i Perform crack analysis to identify the number of cracks in the ith region, including: For the i-th region image data VT i The area formed by all adjacent black pixels is identified as a crack; Count the number of all cracks and output the corresponding image data VT of the i-th region i Medium Crack Dataset VT i,LF , its specific expression is as follows: VT i,LF ={LF i,1 ,…,LF i,j ,…,LF i,M } Among them, VT i,LF Indicates the image data VT of the i-th region i Medium crack dataset, LF i,1 ,…,LF i,j ,…,FL i,M Respectively represent the i-th region image data VT i The 1st, ..., jth, ..., Mth crack images in the crack dataset.

4. A crack early warning method for large-area field concrete according to claim 3, characterized in that: The width of each crack in the i-th region is calculated. If any crack width D i,j If the crack width exceeds the threshold, an alarm is issued to the management personnel. If there is no crack width exceeding the threshold D0, the image data of the i-th area is recollected at a fixed time interval and the growth of the crack is analyzed, including: For the i-th region image data VT i Medium Crack Dataset VT i,LF The jth crack image LF in i,j Establish an XOY coordinate system with the center point as the origin; The starting point of the crack (x qs ,y qs ) and the longest extended point (x zd ,y zd ) z Perform calculations; Select the distance perpendicular to the midline l z The closest distance and distributed at the starting point of the crack (x qs ,y qs ) and the longest extended point (x zd ,y zd ) on both sides of the line (x a ,y a ) and (x b ,y b ), and the distance between the two points is taken as the width D of the jth crack in the i-th region i,j .

5. A method for early warning cracks in large-area concrete according to claim 4, characterized in that The perpendicular bisector l z The expression is as follows: Among them, x qs and qs Indicates the horizontal and vertical coordinates of the starting point of the crack in the XOY coordinate system, x zd and zd Indicates the horizontal and vertical coordinates of the point where the crack extends the longest in the XOY coordinate system, x z and z Respectively represent the perpendicular bisector l z The coordinates of the upper point, D i,j represents the width of the jth crack in the ith region.

6. A crack early warning method for large-area floor concrete according to claim 5, characterized in that: The analysis of the crack growth includes: The width of the j-th crack in the ith region identified by the k-th iteration is D i,j k The growth of μ i,j k The width D of the jth crack in the ith region identified in the k-1th iteration i,j k-1 The growth of μ i,j k-1 By comparison, the change in the jth crack width increment Δμ in the i-th region is obtained. i,j ; If Δμ i,j >0, it is guaranteed that the measurement interval of the jth crack in the ith region is shortened under the premise of the iteration upper limit K. If Δμ i,j If ≤0, the measurement interval of the jth crack in the ith region will not be changed.

7. A crack early warning method for large-area floor concrete according to claim 6, characterized in that: The change in the jth crack width increment of the i-th region Δμ j,j The calculation expression is as follows: Dm i,j =μ i,j k -m i,j k-1 Among them, Δμ i,j represents the change in the jth crack width increment in the ith region, μ i,j k represents the width D of the jth crack in the ith region identified in the kth iteration i,j k The growth rate, μ i,j k-1 represents the width D of the jth crack in the ith region identified in the k-1th iteration i,j k-1 The growth rate, D i,j k represents the width of the jth crack in the ith region identified in the kth iteration, D i,j k-1 represents the width of the jth crack in the ith region identified in the k-1th iteration, D i,j represents the width of the jth crack in the ith region.

8. A crack warning device for large-area field concrete, characterized in that: include A detection module is used to divide the field into N areas and perform acoustic wave detection on each of the N areas using an acoustic wave detector; The first judgment module is used to terminate the detection if no unstable waveform appears during the acoustic wave detection process, and perform the acoustic wave detection again after an interval of t0 time units; The second judgment module is used to, if an unstable waveform appears in the acoustic wave detection process, sequentially take aerial image data of the field through drone or manual shooting for the area where the unstable waveform appears, and generate a problem image data set VT; wherein the expression of the problem image data set VT is as follows: VT={VT1,…,VT i ,…,VT n } Among them, VT1,…,VT i ,…,VT n represent the image data of the 1st region, ..., the i-th region, ..., the n-th region, respectively, and the image data VT1, ..., VT i ,…,VT n These are all preprocessed images, and cracks in the preprocessed images appear black; The output module is used to analyze each image in the problem image data set VT, identify whether there are cracks in each image, output the width of each crack for images with cracks, and regularly record the crack growth of each image. When the crack width exceeds the threshold, the data will be sent to the management staff.

9. An electronic device, characterized in that: include: at least one processor; A memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor so that the at least one processor can execute the method of any one of claims 1-7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-7.

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