A method, system and device for intelligent monitoring of dynamic compaction machine construction.

Abstract

This application relates to the field of dynamic compaction quality monitoring technology, specifically to an intelligent monitoring method, system, and device for dynamic compaction machine construction. The method includes: acquiring compaction images of each compaction operation performed by the dynamic compaction machine at each target compaction location; identifying the target compaction center, compaction area, and ideal center and ideal radius of the compaction area in the compaction images; determining the relative compaction deviation distance of the compaction images and the compaction instability at the same target compaction location; determining the compaction deviation ratio of the target compaction location, and, combined with the compaction instability, determining the construction standardization of the target compaction location; determining the dynamic compaction qualification rate of the dynamic compaction machine based on the number of target compaction locations already completed by the dynamic compaction machine and the differences in construction standardization among the target compaction locations; and obtaining the monitoring results of the dynamic compaction machine construction based on the dynamic compaction qualification rate. This application can improve the accuracy of monitoring the dynamic compaction construction effect of the dynamic compaction machine.

Description

Technical Field

[0001] This application relates to the field of dynamic compaction quality monitoring technology, specifically to an intelligent monitoring method, system and device for dynamic compaction machine construction. Background Technology

[0002] The core purpose of dynamic compaction is to densify and reinforce the foundation soil through massive compaction energy, thereby improving the bearing capacity of the foundation and reducing subsequent settlement. Dynamic compaction is typically achieved using a dynamic compaction machine. By evaluating the dynamic compaction process, the intensity of the machine can be reasonably controlled, and it can be determined whether the compaction process meets design requirements. If the process is successful, the soil will be sufficiently compacted under repeated compaction, achieving optimal results. This avoids over-compaction leading to soil structural damage, as well as under-compaction causing the foundation's bearing capacity to fall below design requirements and posing safety hazards.

[0003] In monitoring the effectiveness of dynamic compaction, GNSS positioning and image processing technology are typically used to determine the compaction settlement, thereby assessing the construction quality. However, existing technologies do not adequately consider the actual compaction position error caused by the deviation between the compaction location and the target compaction location, affecting the accuracy of the foundation compaction effect assessment and resulting in poor monitoring of dynamic compaction construction quality. Summary of the Invention

[0004] To address the aforementioned technical problems, the purpose of this application is to provide an intelligent monitoring method, system, and device for dynamic compaction machine construction. The specific technical solution adopted is as follows:

[0005] In a first aspect, embodiments of this application provide an intelligent monitoring method for dynamic compaction machine construction, the method comprising the following steps:

[0006] Collect images of each impact operation performed by the dynamic compaction machine at each target impact location, and identify the target impact center, impact area, and ideal center and ideal radius of the impact area in the impact images.

[0007] Based on the position of the target impact center in the impact area of ​​the impact image, the relative impact deviation distance of the impact image is determined. Based on the spatial distribution differences of the impact area of ​​the impact images obtained from all impact operations at the same target impact position, the impact instability of the same target impact position is determined.

[0008] Based on the differences between the tamping areas in the tamping images obtained from all tamping operations at the target tamping location, the tamping deviation ratio of the target tamping location is determined. Based on the tamping deviation ratio and the tamping instability of the target tamping location, the construction standardization of the target tamping location is determined.

[0009] The dynamic compaction qualification rate is determined based on the difference between the number of target compaction locations already completed by the dynamic compaction machine and the construction standard of the target compaction locations. The monitoring results of the dynamic compaction machine construction are obtained based on the dynamic compaction qualification rate.

[0010] Furthermore, the method for identifying the target impact center, impact area, and ideal center and ideal radius of the impact area in the impact image is as follows:

[0011] The target recognition algorithm is used to identify the region corresponding to the target impact position in the impact image, and the centroid of the region corresponding to the target impact position is recorded as the target impact center of the impact image.

[0012] For each impact operation at the same target impact location, Hough circle detection is performed on the impact images to obtain circular regions in the impact images. The circular region with the most pixels in the circular region of the impact image obtained from the first impact operation at the same target impact location is recorded as the impact region of the impact image. For impact images obtained from other impact operations at the same target impact location, the impact operation corresponding to the impact image is recorded as the target impact operation. The circular regions of the impact image of the target impact operation and the impact regions of all impact operations before the target impact operation are removed. The circular region with the most pixels in the remaining circular regions is recorded as the impact region of the impact image of the target impact operation.

[0013] The center of the Hough circle corresponding to the impact area in the impact image is recorded as the ideal center of the impact area.

[0014] The radius of the Hough circle corresponding to the impact area in the impact image is denoted as the ideal radius of the impact area.

[0015] Furthermore, the process of constructing the relative impact deviation distance of the impact image is as follows:

[0016] The Euclidean distance between the ideal center of the impact area in the impact image and the target impact center in the impact image is denoted as the impact deviation distance of the impact image. The ratio of the impact deviation distance of the impact image to the ideal radius of the impact area in the impact image is denoted as the relative impact deviation distance of the impact image.

[0017] Furthermore, the method for obtaining the impact instability at the same target impact location is as follows:

[0018] Using the center of the Hough circle corresponding to the impact area of ​​the impact image as the origin of the coordinate system, with the horizontal rightward direction as the positive X-axis and the horizontal upward direction as the positive Y-axis, a Cartesian coordinate system for the impact image is established. The areas of the impact area of ​​the impact image in the four quadrants of the Cartesian coordinate system are all recorded as the impact quadrant areas of the impact image.

[0019] The product of the dispersion of the number of pixels contained in all impact quadrants of the impact image and the relative impact deviation distance is denoted as the impact deviation degree of the impact image.

[0020] The product of the dispersion of the impact deviation of the impact images obtained from all impact operations on the same target impact location and the mean value is denoted as the impact instability of the same target impact location.

[0021] Furthermore, the process for determining the impact deviation ratio at the target impact location is as follows:

[0022] The number of pixels contained in the impact area of ​​the impact image obtained after the first impact operation at the target impact location is recorded as the standard impact area of ​​the target impact location.

[0023] Perform connected component analysis on all circular regions in the impact image obtained after the last impact operation on the target impact position to obtain connected components. The number of pixels contained in the connected component with the largest number of pixels is recorded as the actual impact area of ​​the target impact position.

[0024] The ratio of the standard compaction area to the actual compaction area at the target compaction location is denoted as the compaction deviation ratio at the target compaction location.

[0025] Furthermore, the method for determining the construction standard of the target compaction location is as follows:

[0026] The ratio of the compaction deviation at the target compaction location to the compaction instability is denoted as the construction standard of the target compaction location.

[0027] Furthermore, the process for obtaining the dynamic compaction qualification rate of the dynamic compaction machine is as follows:

[0028] When the number of target compaction positions that have been completed by the dynamic compaction machine is one, the dynamic compaction qualification of the dynamic compaction machine is assigned the normalized value of the construction standardization of the target compaction position that has been completed by the dynamic compaction machine.

[0029] When the number of target compaction positions completed by the dynamic compaction machine is greater than or equal to one, the dispersion of the construction standardization of all target compaction positions completed by the dynamic compaction machine is recorded as the construction anomaly degree of the dynamic compaction machine; the construction standardization of all target compaction positions completed by the dynamic compaction machine is clustered, and the number of clusters is counted; the product of the number of clusters and the construction anomaly degree of the dynamic compaction machine is recorded as the first product of the dynamic compaction machine, and the normalized value of the ratio of the construction anomaly degree of the dynamic compaction machine to the first product is recorded as the dynamic compaction qualification degree of the dynamic compaction machine.

[0030] Furthermore, the specific process for obtaining the monitoring results of dynamic compaction construction based on the dynamic compaction qualification degree includes:

[0031] The dynamic compaction machine with a pass rate greater than the preset quality threshold shall continue construction, while the dynamic compaction machine with a pass rate less than or equal to the preset quality threshold shall be suspended from construction.

[0032] Secondly, this application provides an intelligent monitoring device for dynamic compaction machine construction, which includes: a compaction operation data acquisition module, a compaction stability analysis module, a construction standardization evaluation module, and a construction monitoring result determination module.

[0033] The impact operation data acquisition module is used to acquire impact images of each impact operation performed by the dynamic compaction machine on each target impact position, and to identify the target impact center, impact area, and ideal center and ideal radius of the impact area in the impact image.

[0034] The impact stability analysis module is used to determine the relative impact deviation distance of the impact image based on the position of the target impact center in the impact area, and to determine the impact instability of the same target impact location based on the spatial distribution differences of the impact area of ​​the impact images obtained from all impact operations at the same target impact location.

[0035] The construction standardization evaluation module is used to determine the tamping deviation ratio of the target tamping position based on the differences between the tamping areas of the tamping images obtained from all tamping operations at the target tamping position, and to determine the construction standardization of the target tamping position based on the tamping deviation ratio and the tamping instability of the target tamping position.

[0036] The construction monitoring result determination module is used to determine the dynamic compaction qualification rate of the dynamic compaction machine based on the number of target compaction positions that have been completed by the dynamic compaction machine and the difference between the construction specifications of the target compaction positions. The monitoring results of the dynamic compaction machine construction are obtained based on the dynamic compaction qualification rate.

[0037] Thirdly, this application also provides an intelligent monitoring system for dynamic compaction machine construction. The system includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any of the methods described above.

[0038] As can be seen from the above embodiments, the intelligent monitoring method, system, and device for dynamic compaction machine construction provided in this application have at least the following beneficial effects:

[0039] This application first evaluates the deviation between the actual impact position of the impact operation corresponding to the impact image and the target impact center, obtaining the relative impact deviation distance of the impact image. It further evaluates the tilting degree of the hammer during the descent of the dynamic compaction machine, obtaining the impact deviation degree of the impact image. Based on the difference in impact deviation degrees between all impact operations performed by the dynamic compaction machine on the same target impact position, the stability of the dynamic compaction machine's impact construction at the target impact position is evaluated, and the impact instability of each target impact position is obtained separately. When the deviation direction is different, the degree of deviation may be similar. To more accurately measure the stability of the dynamic compaction machine's construction operation, the deviation direction is further analyzed. Based on the difference between the actual impact area of ​​a single impact operation at the target impact position and the actual area of ​​the crater formed after all impact operations at the target impact position, the stability of the impact is evaluated. The stability of the actual compaction positions at the target compaction locations is assessed to determine the construction standardization of these positions. Higher construction standardization indicates better stability, compaction effect, and overall quality of the dynamic compaction machine's operation at the target compaction location. Finally, the construction standardization of all target compaction positions during the overall construction process is analyzed to comprehensively evaluate the construction quality. Specifically, the dynamic compaction qualification rate is determined based on the number of completed target compaction positions and the differences in construction standardization among them. Monitoring results of the dynamic compaction construction are obtained based on this qualification rate. This addresses the problem of neglecting the impact of actual compaction position errors on the accuracy of foundation compaction effect assessment during dynamic compaction construction effect monitoring, which leads to poor monitoring results and improves the accuracy of dynamic compaction construction monitoring. Attached Figure Description

[0040] To more clearly illustrate the technical solutions and advantages in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 A flowchart illustrating the steps of an intelligent monitoring method for dynamic compaction machine construction, provided as an embodiment of this application;

[0042] Figure 2 This is a structural schematic diagram of an intelligent monitoring device for dynamic compaction machine construction, provided as an embodiment of this application. Detailed Implementation

[0043] To further illustrate the technical means and effects adopted by this application in order to achieve the intended purpose of the invention, the following detailed description, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an intelligent monitoring method, system, and device for dynamic compaction machine construction proposed in this application.

[0044] The following description, in conjunction with the accompanying drawings, details the specific scheme of the intelligent monitoring method, system, and device for dynamic compaction machine construction provided in this application.

[0045] Please see Figure 1 The diagram illustrates a flowchart of an intelligent monitoring method for dynamic compaction machine construction according to an embodiment of this application. The method includes the following steps:

[0046] S001: Collect impact images of each impact operation performed by the dynamic compaction machine on each target impact position, and identify the target impact center, impact area, and ideal center and ideal radius of the impact area in the impact images.

[0047] During the construction of a dynamic compaction machine, it is necessary to compact the pre-set target compaction location. It is crucial to ensure the accuracy and balance of force during compaction. When the actual compaction location deviates from the pre-set target location, it leads to insufficient accuracy or unbalanced force, directly affecting the compaction density of the foundation at the target location and creating potential quality hazards for subsequent construction. Therefore, it is necessary to analyze whether the effect of each compaction operation meets the standards to evaluate the overall construction quality of the dynamic compaction machine.

[0048] Dynamic compaction operation involves compacting the preset target compaction positions one by one, with each preset target compaction position being compacted 5-8 times. The compaction operation of the same preset target compaction position lasts for 5-8 minutes. After completion, the machine moves to the next preset target compaction position to perform the compaction operation.

[0049] To facilitate the identification of the target compaction location, the target compaction location is marked before the dynamic compaction operation. This ensures that the target compaction location can be clearly identified when the dynamic compaction operation location is photographed. In this embodiment, the target compaction location is marked with an "x", and the center of the intersection of the "x" is the center of the target compaction location.

[0050] A high-definition camera is installed on top of the dynamic compaction machine to capture images of each compaction operation performed by the machine at each target compaction location.

[0051] The impact image is denoised. In this embodiment, Gaussian filtering is used to denoise the impact image. Gaussian filtering is a well-known technique for image denoising and will not be described in detail here. In practical applications, as other implementation methods, while achieving the goal of denoising the impact image, implementers may use other existing methods such as median filtering or bilateral filtering to denoise the impact image. This application does not impose any special restrictions.

[0052] The target recognition algorithm is used to identify the region corresponding to the target impact position in the impact image, and the centroid of the region corresponding to the target impact position is recorded as the target impact center of the impact image.

[0053] During dynamic compaction operations, the hammer is extremely heavy and falls from a height of tens of meters. Therefore, each impact at the same target location produces a distinct circular imprint with very prominent edges. Furthermore, even with the compaction machine remaining in the same position for each impact at the same target location, the circular imprint formed by each impact will appear in the same location in the compaction images acquired from subsequent impacts at the same target location.

[0054] For each impact operation at the same target impact location, Hough circle detection is performed on the impact images to obtain circular regions within the impact images. The circular region with the highest number of pixels in the first impact operation at the same target impact location is designated as the impact region of the impact image. For impact images at the same target impact location that are not the first impact operation, the corresponding impact operation is designated as the target impact operation. The circular regions of the target impact operation's impact image, as well as the impact regions of all impact operations preceding the target impact operation, are removed. The remaining circular region with the highest number of pixels is designated as the impact region of the target impact operation's impact image.

[0055] The impact area of ​​different impact images is determined by the position of the pixels contained in the impact area in the impact image.

[0056] The center of the Hough circle corresponding to the impact area in the impact image is recorded as the ideal center of the impact area, and the radius of the Hough circle corresponding to the impact area in the impact image is recorded as the ideal radius of the impact area.

[0057] Thus, the target impact center, impact area, and ideal center and ideal radius of the impact area are obtained from the impact images of each impact operation performed by the dynamic compaction machine on each target impact position.

[0058] S002: Based on the position of the target impact center in the impact area of ​​the impact image, determine the relative impact deviation distance of the impact image. Based on the spatial distribution differences of the impact area of ​​the impact images obtained from all impact operations at the same target impact position, determine the impact instability of the same target impact position.

[0059] The Euclidean distance between the ideal center of the impact area in the impact image and the target impact center in the impact image is denoted as the impact deviation distance of the impact image. The ratio of the impact deviation distance of the impact image to the ideal radius of the impact area in the impact image is denoted as the relative impact deviation distance of the impact image.

[0060] The relative impact deviation distance of the impact image is used to evaluate the degree of deviation between the actual impact position of the impact operation corresponding to the impact image and the target impact center. When the deviation is greater, the relative impact deviation distance of the impact image is greater. At this time, the impact position of the impact operation corresponding to the impact image deviates more obviously from the target impact position, the tamping pit tilts more seriously, the impact effect of the impact operation corresponding to the impact image is worse, and the construction quality is less than ideal.

[0061] The hammer of the dynamic compaction machine may tilt during its descent, which will cause inconsistent impact force on the ground and affect the final compaction effect.

[0062] Using the center of the Hough circle corresponding to the impact area in the impact image as the origin, and with the horizontal-to-right direction as the positive X-axis and the horizontal-up direction as the positive Y-axis, a Cartesian coordinate system for the impact image is established. The four quadrants of this Cartesian coordinate system divide the impact area of ​​the impact image into four parts, each denoted as an impact quadrant region. The product of the dispersion of the number of pixels within each impact quadrant region and the relative impact deviation distance is denoted as the impact deviation degree of the impact image.

[0063] When the hammer of the dynamic compaction machine tilts during its descent, the sizes of the four impact quadrants of the compaction image will differ. The greater the difference in size between the four impact quadrants of the compaction image, the greater the dispersion of the number of pixels contained in all impact quadrants of the compaction image. This results in a more significant deviation of the compaction position from the target compaction position, a more severe tilting of the compaction pit, a poorer compaction effect, and less ideal construction quality. In this case, the compaction deviation of the compaction image is greater.

[0064] In this embodiment, the standard deviation of the number of pixels contained in all impact quadrants of the impact image is used as the degree of dispersion of the number of pixels contained in all impact quadrants of the impact image. In practical applications, as other implementation methods, based on the purpose of evaluating the degree of dispersion of the number of pixels contained in all impact quadrants of the impact image, the implementer may use other methods of existing technology such as information entropy and mean square error to evaluate the degree of dispersion. This application does not impose any special restrictions.

[0065] Furthermore, the differences in the impact deviation between all impact operations performed by the dynamic compaction machine on the same target impact position are analyzed to evaluate the stability of the dynamic compaction machine in the impact construction of the target impact position, and thus evaluate the construction quality of the dynamic compaction machine.

[0066] The impact instability of the same target impact location is determined by the impact deviation of the impact images obtained from all impact operations at the same target impact location.

[0067] The product of the dispersion of the impact deviation of the impact images obtained from all impact operations on the same target impact location and the mean value is denoted as the impact instability of the same target impact location.

[0068] Impact instability is used to evaluate the stability of dynamic compaction machine operation at the target impact position. The greater the impact instability at the same target impact position, the worse the construction accuracy of the dynamic compaction machine operation at the target impact position, and the more drastic the deviation fluctuation between construction operations.

[0069] In this embodiment, the standard deviation of the impact deviation of the impact images obtained from all impact operations at the same target impact location is used as the degree of dispersion of the impact deviation of the impact images obtained from all impact operations at the same target impact location. In practical applications, as other implementation methods, based on the purpose of evaluating the degree of dispersion of the impact deviation of the impact images obtained from all impact operations at the same target impact location, the implementer may use other methods of the prior art, such as information entropy and mean square error, to evaluate the degree of dispersion. This application does not impose any special restrictions.

[0070] At this point, the impact instability at each impact location is obtained.

[0071] S003: Based on the differences between the tamping areas in the tamping images obtained from all tamping operations at the target tamping location, determine the tamping deviation ratio of the target tamping location. Based on the tamping deviation ratio and the tamping instability of the target tamping location, determine the construction standardization of the target tamping location.

[0072] When a dynamic compaction machine performs construction operations on a target compaction location, the direction of deviation of the hammer during the fall of the hammer may vary in different compaction operations, such as deviating to the left or right of the target compaction location. When the direction of deviation is different, the degree of deviation may be similar. In order to more accurately measure the stability of the dynamic compaction machine in construction operations, the direction of deviation is further analyzed.

[0073] The number of pixels contained in the impacted area of ​​the impact image obtained after the first impact operation at the target impact location is denoted as the standard impacted area of ​​the target impact location. Connectivity analysis is performed on all circular regions in the impact image obtained after the final impact operation at the target impact location to obtain connected components. The number of pixels contained in the connected component with the largest number of pixels is denoted as the actual impacted area of ​​the target impact location. The ratio of the standard impacted area to the actual impacted area of ​​the target impact location is denoted as the impact deviation ratio of the target impact location.

[0074] The standard impact profile is the actual impact area of ​​a single impact operation on the target impact location; the actual impact area is the actual area of ​​the crater formed after all impact operations on the target impact location; the impact deviation ratio of the target impact location is used to evaluate the stability of the actual impact location after all impact operations on the target impact location.

[0075] The construction standardization of the target tamping location is determined based on the tamping deviation ratio and the tamping instability of the target tamping location.

[0076] The ratio of the compaction deviation at the target compaction location to the compaction instability is denoted as the construction standard of the target compaction location.

[0077] In order to avoid the denominator being zero during the ratio calculation process, a preset value needs to be added to the denominator. In this example, the preset value is 0.005.

[0078] The greater the standardization of the construction at the target compaction location, the better the stability, compaction effect, and quality of the dynamic compaction machine's operation at the target compaction location.

[0079] At this point, the construction specifications for the target impact location are obtained.

[0080] S004: Determine the pass rate of the dynamic compaction machine based on the difference between the number of target compaction locations already completed by the dynamic compaction machine and the construction standard of the target compaction locations, and obtain the monitoring results of the dynamic compaction machine construction based on the pass rate of the dynamic compaction machine.

[0081] Furthermore, the construction standardization of all target compaction positions during the overall construction process of the dynamic compaction machine is analyzed to comprehensively evaluate the construction quality of the dynamic compaction machine.

[0082] When there is only one target compaction position that has been completed by the dynamic compaction machine, the dynamic compaction qualification is assigned to the normalized value of the construction standardization of the target compaction position that has been completed by the dynamic compaction machine.

[0083] When the number of target compaction positions completed by the dynamic compaction machine is greater than or equal to one, the dynamic compaction qualification rate of the dynamic compaction machine is determined based on the difference in the construction standard of all target compaction positions completed by the dynamic compaction machine.

[0084] Specifically, the dispersion of the construction standardization of all target compaction positions that have been completed by the dynamic compaction machine is recorded as the construction anomaly degree of the dynamic compaction machine.

[0085] In this embodiment, the standard deviation of the construction standardization of all target compaction positions completed by the dynamic compaction machine is used as the dispersion of the construction standardization of all target compaction positions completed by the dynamic compaction machine. In practical applications, as other implementation methods, based on the purpose of evaluating the dispersion of the construction standardization of all target compaction positions completed by the dynamic compaction machine, the implementer may use other methods of existing technology such as information entropy and mean square error to evaluate the dispersion. This application does not impose any special restrictions.

[0086] Cluster the construction standardization of all target compaction locations that have been completed by the dynamic compaction machine, and count the number of clusters obtained. The product of the number of clusters and the construction anomaly of the dynamic compaction machine is recorded as the first product of the dynamic compaction machine. The normalized value of the ratio of the construction anomaly of the dynamic compaction machine to the first product is recorded as the dynamic compaction qualification degree of the dynamic compaction machine.

[0087] To avoid the denominator being zero during ratio calculation, a preset value needs to be added to the denominator. In this embodiment, the preset value is 0.005. Specifically, this embodiment uses the DBSCAN algorithm to cluster the construction standardization of all target compaction locations that have been completed by the dynamic compaction machine.

[0088] It should be noted that this embodiment uses the Z-Score standard normalization method to calculate the normalized value. In practical applications, implementers may use other methods of existing technology, such as the maximum-minimum normalization method or the sigmoid function, to calculate the normalized value, and no limitation is made here.

[0089] The higher the pass rate of dynamic compaction, the better the construction quality of the dynamic compaction machine.

[0090] Dynamic compaction machines with a pass rate greater than the quality threshold are allowed to continue construction, while dynamic compaction machines with a pass rate less than or equal to the quality threshold are suspended from construction.

[0091] The quality threshold is a preset parameter, and in this embodiment, the quality threshold is set to 0.5. It can be understood that a dynamic compaction machine with a quality qualification greater than the quality threshold is a dynamic compaction machine with good construction quality, while a dynamic compaction machine with a quality qualification less than or equal to the quality threshold is a dynamic compaction machine with poor construction quality.

[0092] This completes the intelligent monitoring of dynamic compaction machine construction.

[0093] Please see Figure 2 , Figure 2 This is a schematic diagram of the structure of an intelligent monitoring device for dynamic compaction machine construction according to one embodiment of this application. In this embodiment, the devices include units that perform the steps in the corresponding embodiment of an intelligent monitoring method for dynamic compaction machine construction. See also... Figure 2 The intelligent monitoring device for dynamic compaction machine construction includes: a compaction operation data acquisition module, a compaction stability analysis module, a construction standardization evaluation module, and a construction monitoring result determination module.

[0094] The impact operation data acquisition module is used to acquire impact images of each impact operation performed by the dynamic compaction machine on each target impact position, and to identify the target impact center, impact area, and ideal center and ideal radius of the impact area in the impact image.

[0095] The impact stability analysis module is used to determine the relative impact deviation distance of the impact image based on the position of the target impact center in the impact area, and to determine the impact instability of the same target impact location based on the spatial distribution differences of the impact area of ​​the impact images obtained from all impact operations at the same target impact location.

[0096] The construction standardization evaluation module is used to determine the tamping deviation ratio of the target tamping position based on the differences between the tamping areas of the tamping images obtained from all tamping operations at the target tamping position, and to determine the construction standardization of the target tamping position based on the tamping deviation ratio and the tamping instability of the target tamping position.

[0097] The construction monitoring result determination module is used to determine the dynamic compaction qualification rate of the dynamic compaction machine based on the number of target compaction positions that have been completed by the dynamic compaction machine and the difference between the construction specifications of the target compaction positions. The monitoring results of the dynamic compaction machine construction are obtained based on the dynamic compaction qualification rate.

[0098] Based on the same inventive concept as the above method, this application embodiment also provides an intelligent monitoring system for dynamic compaction machine construction, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-described intelligent monitoring methods for dynamic compaction machine construction.

[0099] It is understood that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0100] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0101] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Any equivalent structural or procedural transformations made based on the description and drawings of this application, or direct or indirect applications in other related technical fields, are similarly included within the protection scope of this application.

Claims

1. An intelligent monitoring method for dynamic compaction machine construction, characterized in that, The method includes the following steps: Collect images of each impact operation performed by the dynamic compaction machine at each target impact location, and identify the target impact center, impact area, and ideal center and ideal radius of the impact area in the impact images. Based on the position of the target impact center in the impact area of ​​the impact image, the relative impact deviation distance of the impact image is determined. Based on the spatial distribution differences of the impact area of ​​the impact images obtained from all impact operations at the same target impact position, the impact instability of the same target impact position is determined. Based on the differences between the tamping areas in the tamping images obtained from all tamping operations at the target tamping location, the tamping deviation ratio of the target tamping location is determined. Based on the tamping deviation ratio and the tamping instability of the target tamping location, the construction standardization of the target tamping location is determined. The dynamic compaction qualification rate of the dynamic compaction machine is determined based on the difference between the number of target compaction locations already completed by the dynamic compaction machine and the construction standard of the target compaction locations. The monitoring results of the dynamic compaction machine construction are obtained based on the dynamic compaction qualification rate of the dynamic compaction machine. The method for obtaining the impact instability at the same target impact location is as follows: Using the center of the Hough circle corresponding to the impact area of ​​the impact image as the origin of the coordinate system, with the horizontal rightward direction as the positive X-axis and the horizontal upward direction as the positive Y-axis, a Cartesian coordinate system for the impact image is established. The areas of the impact area of ​​the impact image in the four quadrants of the Cartesian coordinate system are all recorded as the impact quadrant areas of the impact image. The product of the dispersion of the number of pixels contained in all impact quadrants of the impact image and the relative impact deviation distance is denoted as the impact deviation degree of the impact image. The product of the dispersion of the impact deviation of the impact images obtained from all impact operations on the same target impact location and the mean value is denoted as the impact instability of the same target impact location.

2. The intelligent monitoring method for dynamic compaction machine construction as described in claim 1, characterized in that, The method for identifying the target impact center, impact area, and ideal center and ideal radius of the impact area in the impact image is as follows: The target recognition algorithm is used to identify the region corresponding to the target impact position in the impact image, and the centroid of the region corresponding to the target impact position is recorded as the target impact center of the impact image. For each impact operation at the same target impact location, Hough circle detection is performed on the impact images to obtain circular regions in the impact images. The circular region with the most pixels in the circular region of the impact image obtained from the first impact operation at the same target impact location is recorded as the impact region of the impact image. For impact images obtained from other impact operations at the same target impact location, the impact operation corresponding to the impact image is recorded as the target impact operation. The circular regions of the impact image of the target impact operation and the impact regions of all impact operations before the target impact operation are removed. The circular region with the most pixels in the remaining circular regions is recorded as the impact region of the impact image of the target impact operation. The center of the Hough circle corresponding to the impact area in the impact image is recorded as the ideal center of the impact area. The radius of the Hough circle corresponding to the impact area in the impact image is denoted as the ideal radius of the impact area.

3. The intelligent monitoring method for dynamic compaction machine construction as described in claim 1, characterized in that, The process of constructing the relative impact deviation distance of the impact image is as follows: The Euclidean distance between the ideal center of the impact area in the impact image and the target impact center in the impact image is denoted as the impact deviation distance of the impact image. The ratio of the impact deviation distance of the impact image to the ideal radius of the impact area in the impact image is denoted as the relative impact deviation distance of the impact image.

4. The intelligent monitoring method for dynamic compaction machine construction as described in claim 1, characterized in that, The process for determining the impact deviation ratio at the target impact location is as follows: The number of pixels contained in the impact area of ​​the impact image obtained after the first impact operation at the target impact location is recorded as the standard impact area of ​​the target impact location. Perform connected component analysis on all circular regions in the impact image obtained after the last impact operation on the target impact position to obtain connected components. The number of pixels contained in the connected component with the largest number of pixels is recorded as the actual impact area of ​​the target impact position. The ratio of the standard compaction area to the actual compaction area at the target compaction location is denoted as the compaction deviation ratio at the target compaction location.

5. The intelligent monitoring method for dynamic compaction machine construction as described in claim 1, characterized in that, The method for determining the construction standard of the target compaction location is as follows: The ratio of the compaction deviation at the target compaction location to the compaction instability is denoted as the construction standard of the target compaction location.

6. The intelligent monitoring method for dynamic compaction machine construction as described in claim 1, characterized in that, The process for obtaining the dynamic compaction qualification rate of the dynamic compaction machine is as follows: When the number of target compaction positions that have been completed by the dynamic compaction machine is one, the dynamic compaction qualification of the dynamic compaction machine is assigned the normalized value of the construction standardization of the target compaction position that has been completed by the dynamic compaction machine. When the number of target compaction positions completed by the dynamic compaction machine is greater than or equal to one, the dispersion of the construction standardization of all target compaction positions completed by the dynamic compaction machine is recorded as the construction anomaly degree of the dynamic compaction machine; the construction standardization of all target compaction positions completed by the dynamic compaction machine is clustered, and the number of clusters is counted; the product of the number of clusters and the construction anomaly degree of the dynamic compaction machine is recorded as the first product of the dynamic compaction machine, and the normalized value of the ratio of the construction anomaly degree of the dynamic compaction machine to the first product is recorded as the dynamic compaction qualification degree of the dynamic compaction machine.

7. The intelligent monitoring method for dynamic compaction machine construction as described in claim 1, characterized in that, The specific process for obtaining monitoring results of dynamic compaction construction based on the dynamic compaction qualification rate of the dynamic compaction machine includes: The dynamic compaction machine with a pass rate greater than the preset quality threshold shall continue construction, while the dynamic compaction machine with a pass rate less than or equal to the preset quality threshold shall be suspended from construction.

8. An intelligent monitoring device for dynamic compaction machine construction, implementing the method described in claim 1, characterized in that, The intelligent monitoring device for dynamic compaction machine construction includes: The impact operation data acquisition module is used to acquire impact images of each impact operation performed by the dynamic compaction machine on each target impact position, and to identify the target impact center, impact area, and ideal center and ideal radius of the impact area in the impact image. The impact stability analysis module is used to determine the relative impact deviation distance of the impact image based on the position of the target impact center in the impact area, and to determine the impact instability of the same target impact location based on the spatial distribution differences of the impact area of ​​the impact images obtained from all impact operations at the same target impact location. The construction standardization evaluation module is used to determine the tamping deviation ratio of the target tamping position based on the differences between the tamping areas of the tamping images obtained from all tamping operations at the target tamping position, and to determine the construction standardization of the target tamping position based on the tamping deviation ratio and the tamping instability of the target tamping position. The construction monitoring result determination module is used to determine the dynamic compaction qualification rate of the dynamic compaction machine based on the number of target compaction positions that have been completed by the dynamic compaction machine and the difference between the construction specifications of the target compaction positions. The monitoring results of the dynamic compaction machine construction are obtained based on the dynamic compaction qualification rate.

9. An intelligent monitoring system for dynamic compaction machine construction, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-7.

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