Upgrading and reconstruction construction method of high-performance asphalt concrete surface layer on old concrete road

Abstract

The invention is applicable to the technical field of road construction, and particularly relates to a construction method for upgrading and rebuilding a high-performance asphalt concrete surface layer on an old concrete road, and the method comprises the following steps: acquiring road condition information; wherein the road condition information comprises a surface image and a structure model; key area information is obtained based on the road condition information; wherein the key area information comprises at least one emphasized area, and the emphasized area reflects an area on the old concrete road; obtaining a construction scheme based on the key area information; wherein the construction scheme is used for indicating a user to construct. According to the construction method for upgrading and rebuilding the old concrete road by the high-performance asphalt concrete surface layer, the problem that the service life of a road surface structure is possibly shortened due to holes or gaps in the old concrete road when asphalt is directly paved on the milled surface to form a new road surface can be solved.

Description

Technical Field

[0001] This application belongs to the field of road construction technology, and in particular relates to a construction method for upgrading and renovating old concrete roads with high-performance asphalt concrete pavement. Background Technology

[0002] In the upgrading and renovation of old concrete roads, high-performance asphalt concrete pavement is a construction process that systematically treats the old road surface and lays high-performance asphalt concrete to improve the road's load-bearing capacity, smoothness, and durability.

[0003] In related technologies, when upgrading and renovating old concrete roads, the surface of the old concrete road is usually milled and then asphalt is directly laid on the milled surface to form a new road surface. This may cause reflective cracks or aggravate crack development due to the voids or gaps inside the old concrete road, thus shortening the service life of the road structure. Summary of the Invention

[0004] This application provides a method for upgrading and renovating old concrete roads with high-performance asphalt concrete pavement, which can improve the problem that directly spreading asphalt on the milled surface to form a new road surface may shorten the service life of the road structure due to voids or gaps inside the old concrete road.

[0005] In a first aspect, embodiments of this application provide a method for constructing a high-performance asphalt concrete pavement layer for upgrading and renovating old concrete roads, including: Obtain road condition information; wherein, the road condition information includes surface images and structural models, the surface images are images reflecting the surface of an old concrete road after full-width milling, and the structural models are three-dimensional digital models reflecting the internal structure of the old concrete road; Based on the road condition information, key area information is obtained; wherein, the key area information includes at least one focus area, the focus area reflecting an area on the old concrete road; A construction plan is obtained based on the information of the key areas; wherein, the construction plan is used to instruct the user to carry out the construction.

[0006] The technical solutions described in this application embodiment have at least the following technical effects: The high-performance asphalt concrete pavement construction method for upgrading and renovating old concrete roads provided in this application first acquires road condition information, including surface images and structural models, to visually present the surface defects and internal structure of the old concrete road, providing a multi-dimensional data foundation for subsequent steps. Then, based on the road condition information, key area information, including at least one focused region, is obtained to locate problem areas and screen key construction areas, providing a direct basis for the construction plan and achieving precise construction. Furthermore, based on the key area information, a construction plan is obtained to instruct users on construction, accurately identifying construction needs and instructing construction personnel to fill voids or cracks in the old concrete road. This addresses the problem that directly laying asphalt on a milled surface to form a new pavement might shorten the service life of the pavement structure due to voids or cracks within the old concrete road.

[0007] Secondly, embodiments of this application provide a high-performance asphalt concrete pavement construction system for upgrading and renovating old concrete roads, comprising: An acquisition unit is used to acquire road condition information; wherein, the road condition information includes a surface image and a structural model, the surface image is an image reflecting the surface of an old concrete road after full-width milling, and the structural model is a three-dimensional digital model reflecting the internal structure of the old concrete road. The first analysis unit is used to obtain key area information based on the road condition information; wherein, the key area information includes at least one focus area, the focus area reflecting an area on the old concrete road; The second analysis unit is used to obtain a construction plan based on the key area information; wherein the construction plan is used to instruct the user to carry out the construction.

[0008] Thirdly, embodiments of this application provide a high-performance asphalt concrete pavement construction device for upgrading and renovating old concrete roads, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method described in any one of the first aspects above.

[0009] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in any one of the first aspects above.

[0010] Fifthly, embodiments of this application provide a computer program product that, when running on a construction device for upgrading and renovating old concrete roads with high-performance asphalt concrete pavement, causes the construction device to perform the construction method for upgrading and renovating old concrete roads with high-performance asphalt concrete pavement as described in any of the first aspects.

[0011] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of this application, 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.

[0013] Figure 1 This is a schematic diagram of the construction method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement according to an embodiment of this application; Figure 2 This is a flowchart illustrating step S200 in the construction method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement provided in an embodiment of this application. Figure 3 This is a flowchart illustrating step S300 in the construction method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement provided in an embodiment of this application. Figure 4 This is a schematic diagram of the structure of a high-performance asphalt concrete pavement construction system for upgrading and renovating old concrete roads, provided in one embodiment of this application. Figure 5 This is a schematic diagram of the structure of a high-performance asphalt concrete pavement construction equipment for upgrading and renovating old concrete roads, provided in one embodiment of this application. Detailed Implementation

[0014] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0015] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0016] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0017] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0018] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0019] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0020] In the upgrading and renovation of old concrete roads, high-performance asphalt concrete pavement is a construction process that systematically treats the old road surface and lays high-performance asphalt concrete to improve the road's load-bearing capacity, smoothness, and durability.

[0021] In related technologies, when upgrading and renovating old concrete roads, the surface of the old concrete road is usually milled and then asphalt is directly laid on the milled surface to form a new road surface. This may cause reflective cracks or aggravate crack development due to the voids or gaps inside the old concrete road, thus shortening the service life of the road structure.

[0022] To address the aforementioned issues, this application provides a method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement. This method first acquires road condition information, including surface images and structural models, to visually present the surface defects and internal structure of the old concrete road, providing a multi-dimensional data foundation for subsequent steps. Then, based on the road condition information, key area information, including at least one emphasized region, is obtained to locate problem areas and select critical construction areas, providing a direct basis for the construction plan and achieving precise construction. Finally, based on the key area information, a construction plan is derived to instruct the user on construction needs, accurately identifying construction requirements and instructing construction personnel to fill voids or cracks in the old concrete road. This addresses the problem that directly laying asphalt on a milled surface to form a new pavement might shorten the service life of the pavement structure due to voids or cracks within the old concrete road.

[0023] The high-performance asphalt concrete pavement construction method for upgrading and renovating old concrete roads provided in this application embodiment can be applied to the high-performance asphalt concrete pavement construction equipment for upgrading and renovating old concrete roads. In this case, the high-performance asphalt concrete pavement construction equipment for upgrading and renovating old concrete roads is the main body for executing the high-performance asphalt concrete pavement construction method for upgrading and renovating old concrete roads provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of high-performance asphalt concrete pavement construction equipment for upgrading and renovating old concrete roads.

[0024] For example, equipment used in the upgrading and reconstruction of old concrete roads using high-performance asphalt concrete pavement may include, but is not limited to, image acquisition devices, structural acquisition devices, and control devices. An image acquisition device is a device capable of acquiring images reflecting the surface condition of the road surface; for example, it may be a vehicle-mounted high-definition camera, a multispectral camera, etc., but is not limited to these. A structural acquisition device is a device capable of acquiring information about the internal structure of the road; for example, it may be ground-penetrating radar, an ultrasonic detector, etc., but is not limited to these. The control device is communicatively connected to the image acquisition device and the structural acquisition device. The control device receives and analyzes the data transmitted by the image acquisition device and the structural acquisition device; for example, the control device may be a desktop computer, a laptop, a handheld computer, or a cloud server, etc., but is not limited to these.

[0025] To better understand the construction method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement provided in this application, the specific implementation process of the construction method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement provided in this application will be described below by way of example.

[0026] Figure 1 This paper presents a schematic flowchart illustrating a construction method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement, as provided in an embodiment of this application. The construction method includes: S100, acquire road condition information; the road condition information includes surface images and structural models. The surface images are images reflecting the surface of the old concrete road after full-width milling, and the structural models are three-dimensional digital models reflecting the internal structure of the old concrete road.

[0027] It is understandable that milling the entire width of the old concrete road (milling depth 5-10cm) to remove the surface layer ensures that the surface image accurately reflects the defects in the base layer, reducing analysis time. Surface images can be obtained by receiving image data from a vehicle-mounted high-definition camera or by receiving image data reflecting the road surface transmitted by the user, but are not limited to these methods. Structural models can be obtained by receiving ground-penetrating radar data and then constructing a 3D digital model using BIM technology based on the ground-penetrating radar data, or by receiving a 3D digital model reflecting the internal structure of the old concrete road transmitted by the user, but are not limited to these methods. By first acquiring road condition information including surface images and structural models, the surface defects and internal structure of the old concrete road are visually presented, providing a multi-dimensional data foundation for subsequent steps.

[0028] S200 obtains key area information based on road condition information; the key area information includes at least one focus area, which reflects an area on the old concrete road.

[0029] It is understandable that obtaining key area information based on road condition information can be achieved by first analyzing surface images and structural models using deep learning models to identify defects such as gaps and voids. Then, the severity of each gap and void (e.g., whether the length and depth of the gap exceeds a preset value, or whether the volume of the void exceeds a preset value) and the distribution density of each gap and void within random regions (such as spherical regions with fixed radii, rectangular regions with fixed length, width, and height) on the structural model are assessed. Areas near more severe gaps or voids and areas with higher distribution density (greater than a preset value) are identified as priority areas, and these priority areas are then designated as key area information. Alternatively, road condition information can be sent to users and data transmitted by users can be received, but these methods are not limited to these. Obtaining key area information based on road condition information can pinpoint problem areas, filter key construction areas, provide direct evidence for construction plans, and achieve precise construction.

[0030] In one possible implementation, please refer to Figure 2 S200, based on road condition information, obtains key area information, including: S210, obtain surface defect information based on the surface image; wherein, the surface defect information includes the surface image and at least one gap range marked on the surface image.

[0031] It is understandable that obtaining surface defect information based on surface images can be achieved through methods such as automatically analyzing and identifying cracks in the surface image and marking their extent using an image processing model (which is a model trained on a dataset of tens of thousands of road surface images), or by sending the surface image to the user and receiving the data transmitted by the user, but these methods are not limited to these. Obtaining surface defect information based on surface images can improve the speed and accuracy of crack identification, providing a basis for subsequent steps.

[0032] S220, obtain internal defect information based on the structural model; wherein, the internal defect information includes the structural model and at least one void range marked on the structural model.

[0033] It is understandable that obtaining internal defect information based on a structural model can be achieved through methods such as identifying voids within the structural model using an internal defect identification model and marking the extent of these voids, or by sending the structural model to the user and receiving the annotation data transmitted by the user, but these methods are not limited to these. Obtaining internal defect information based on a structural model can uncover voids and cracks hidden deep within the road base layer, improving identification speed and accuracy, and providing a basis for subsequent steps.

[0034] S230 obtains key area information based on surface defect information and internal defect information.

[0035] It is understandable that obtaining key area information based on surface defect information and internal defect information can be achieved by using texture mapping technology to overlay the surface image from the surface defect information onto the structural model of the internal defect information to obtain a composite analysis model containing both surface and internal defects. Then, a three-dimensional analysis environment is established based on this composite analysis model. In this environment, the depth and width of each cavity are calculated, and cavities with a depth or width greater than a corresponding preset value are marked as dangerous cavities. A spherical (or cylindrical, rectangular, etc., but not limited to) analysis range is then established centered on each dangerous cavity. The number of dangerous cavities and the ratio of the sum of their volumes to the volume of the analysis range within each analysis range are then assessed (whether the number of dangerous cavities within the analysis range exceeds a preset value, and whether the ratio of the sum of their volumes to the volume of the analysis range exceeds a preset value) to determine the focus areas. These focus areas are then identified as key area information. Alternatively, the surface defect information and internal defect information can be sent to the user, and data transmitted by the user can be received, but this is not limited to these methods. Information on key areas derived from surface and internal defect information can be used to scientifically assess the risks of road defects, ensuring that the identification of key areas is based on reliable evidence and improving the rationality and effectiveness of construction decisions.

[0036] In one possible implementation, please refer to Figure 2S230, based on surface defect information and internal defect information, key area information is obtained, including: S231, the surface image in the surface defect information is overlaid onto the structural model in the internal defect information to obtain the analysis model.

[0037] It can be understood that overlaying the surface image from the surface defect information onto the structural model from the internal defect information is equivalent to overlaying the surface image onto the surface of the structural model (the contact surface between the road and vehicles reflected in the structural model). This overlaying can be achieved through feature point matching, or by sending both the surface image and the structural model from the surface defect information to the user and receiving the model data transmitted by the user, but is not limited to these methods. Overlaying the surface image from the surface defect information onto the structural model from the internal defect information results in an analysis model that more comprehensively and intuitively presents the road defect condition, providing data support for subsequent construction decisions.

[0038] S232, establish a three-dimensional coordinate system based on the analysis model, and confirm the three-dimensional coordinate system and the analysis model as the analysis environment after ensuring that the coordinate values ​​corresponding to any point on the analysis model are positive; wherein, the Z-axis direction of the three-dimensional coordinate system is parallel to the thickness direction of the analysis model, the Y-axis direction of the three-dimensional coordinate system is parallel to the length direction of the analysis model, and the X-axis direction of the three-dimensional coordinate system is parallel to the width direction of the analysis model.

[0039] It can be understood that the thickness direction represents the thickness of the old concrete road as reflected in the analysis model, the length direction represents the direction of vehicle travel on the old concrete road as reflected in the analysis model, and the width direction is perpendicular to both the thickness and length directions. The coordinate scale values ​​of the three-dimensional coordinate system can directly reflect actual distances (m, mm, etc.) or numerical units (1, 2, 3, etc.), but are not limited to these. Establishing a three-dimensional coordinate system based on the analysis model and placing the analysis model within it provides a unified three-dimensional spatial reference for road defect analysis and construction, improving the accuracy and reliability of data analysis, and facilitating various complex spatial analysis operations (such as calculating the depth, width, and volume of cavities), which helps in the in-depth evaluation of road conditions and optimization of construction plans.

[0040] S233, Based on the analysis environment, obtain cavity information corresponding to each cavity range; wherein, the cavity information includes cavity depth and cavity width, the cavity depth reflects the depth of the cavity range, and the cavity width reflects the width of the cavity range.

[0041] It is understandable that the depth of a cavity can be obtained by projecting the cavity area onto the Z-axis of a 3D coordinate system, then subtracting the Z-axis coordinate of the closest point to the origin from the Z-axis coordinate of the point farthest from the origin on the projection to obtain the cavity depth. Alternatively, it can be obtained by receiving data transmitted from the user, but is not limited to these methods. Similarly, the width of a cavity can be obtained by projecting the cavity area onto the X-axis of a 3D coordinate system, then subtracting the X-axis coordinate of the closest point to the origin from the X-axis coordinate of the point farthest from the origin on the projection. This can also be obtained by receiving data transmitted from the user, but is not limited to these methods. Obtaining cavity information corresponding to each cavity area based on the analysis environment can provide a direct basis for formulating construction plans.

[0042] In one possible implementation, please refer to Figure 2 S233, Based on the analysis environment, cavity information corresponding to the range of each cavity is obtained, including: S2331, for each point within the cavity, the Z-axis coordinate value that is greater than the Z-axis coordinate value of any other point within the same cavity is identified as the first value, and the Z-axis coordinate value that is less than the Z-axis coordinate value of any other point within the same cavity is identified as the second value. Then, the value obtained by subtracting the second value from the first value for each cavity is identified as the cavity depth.

[0043] It can be understood that the Z-axis coordinate value that is greater than (but not less than) the Z-axis coordinate value of any other point within the same cavity is identified as the first value. This means identifying the Z-axis coordinate value of the highest point within the cavity (closest to the contact surface between the analysis model and the vehicle on the analysis model) as the first value. Similarly, the Z-axis coordinate value that is less than (but not greater than) the Z-axis coordinate value of any other point within the same cavity is identified as the second value. This means identifying the Z-axis coordinate value of the lowest point within the cavity (farthest from the contact surface between the analysis model and the vehicle on the analysis model) as the second value. Subtracting the second value from the first value for each cavity cavity area yields the cavity depth, which serves as the basis for subsequent steps.

[0044] For example, assuming the Z-axis coordinate of a value greater than any other point within the same cavity is 20, and the Z-axis coordinate of a value less than any other point within the same cavity is 15, then the first value = 20, the second value = 15, and the cavity depth = 20 - 15 = 5. For example, assuming the ratio of the coordinate system unit scale to the actual length is 1:1 mm, then the actual cavity depth = 5 * 1 = 5 mm.

[0045] S2332, for each point within the cavity, the X-axis coordinate value that is greater than the X-axis coordinate value of any other point within the same cavity is identified as the third value, and the X-axis coordinate value that is less than the X-axis coordinate value of any other point within the same cavity is identified as the fourth value. Then, the value obtained by subtracting the fourth value from the third value for each cavity is identified as the cavity width.

[0046] It is understandable that the X-axis coordinate value that is greater than the X-axis coordinate value of any other point within the same cavity (and not less than the X-axis coordinate value of any other point within the same cavity) is identified as the third value, and the X-axis coordinate value that is less than the X-axis coordinate value of any other point within the same cavity (and not greater than the X-axis coordinate value of any other point within the same cavity) is identified as the fourth value. Then, the value obtained by subtracting the fourth value from the third value for each cavity range can be identified as the cavity width, which can provide a basis for subsequent steps.

[0047] For example, suppose the X-axis coordinate of a value greater than any other point within the same cavity is 100, and the X-axis coordinate of a value less than any other point within the same cavity is 90. Then the third value = 100, the fourth value = 90, and the cavity width = 100 - 90 = 10.

[0048] S2333, confirm the depth and width of each cavity as cavity information.

[0049] It is understandable that identifying the depth and width of each cavity as cavity information can provide data support for analyzing the severity of each cavity.

[0050] S234, based on the analysis environment and void information, obtain key area information.

[0051] It is understandable that obtaining key area information based on the analysis environment and void information can be achieved by: thresholding the depth and width of each void in the void information; marking voids exceeding the threshold depth or width as dangerous voids; establishing a spherical (or cylindrical, rectangular, etc., but not limited to) analysis range centered on each dangerous void; and then judging the number of dangerous voids and the ratio of the sum of the volumes of dangerous voids to the volume of the analysis range within each analysis range (whether the number of dangerous voids within the analysis range exceeds a preset value, and whether the ratio of the sum of the volumes of dangerous voids to the volume of the analysis range exceeds a preset value) to obtain the focus areas, and confirming each focus area as key area information; alternatively, it can involve sending the analysis environment and void information to the user and receiving data transmitted by the user, but is not limited to these methods. Obtaining key area information based on the analysis environment and void information allows construction resources such as milling machines and grouting equipment to be concentrated in high-risk areas, reducing the construction area and lowering mechanical wear and material costs compared to full-area processing.

[0052] In one possible implementation, please refer to Figure 2 S234, Based on the analysis environment and void information, key area information is obtained, including: S2341, a cavity range whose depth is greater than or equal to a preset depth and / or whose width is greater than or equal to a preset width is identified as a dangerous cavity.

[0053] It is understood that the preset depth can be 0.2m, 0.25m, or a value customized by the user based on the actual road conditions, but is not limited to these. The preset width can be 0.4m, 0.45m, or a value customized by the user based on the actual road conditions, but is not limited to these. Methods for determining the cavity depth and preset depth, and for determining the cavity width and preset width, can include: first multiplying the cavity depth or width by the ratio of coordinate system unit scale to actual length to obtain the actual depth or width, and then comparing the actual depth or width with the preset depth or width; or dividing the preset depth or width by the ratio of coordinate system unit scale to actual length to obtain the coordinate system depth or width value, and then comparing the coordinate system depth or width value with the cavity depth or width, etc., but is not limited to these. Identifying dangerous cavities provides a basis for subsequent steps.

[0054] For example, assuming the cavity depth is 5 and the ratio of the coordinate system unit scale to the actual length is 1:1 mm, then the actual cavity depth is 5*1=5mm; assuming the preset depth is 0.2m and the ratio of the coordinate system unit scale to the actual length is 1:0.1m, then the coordinate system depth value is 0.2 / 0.1=2.

[0055] S2342, based on each hazardous cavity and the analysis environment, at least one focus area is obtained.

[0056] It is understandable that obtaining at least one focus area based on each hazardous cavity and the analysis environment can be achieved by establishing a spherical (or cylindrical, rectangular, etc., but not limited to) analysis range centered on each hazardous cavity, and then judging the ratio of the number of hazardous cavities and the sum of their volumes to the volume of the analysis range within each analysis range (whether the number of hazardous cavities within the analysis range is greater than a preset value, and whether the ratio of the sum of their volumes to the volume of the analysis range is greater than a preset value) to obtain the focus area. Alternatively, it can involve sending each hazardous cavity and the analysis environment to the user and receiving the data transmitted by the user, but is not limited to these methods. Obtaining at least one focus area based on each hazardous cavity and the analysis environment can accurately locate areas in the road that require key treatment, concentrating construction equipment, materials, and manpower resources on key areas, reducing resource waste, improving construction efficiency, and lowering project costs.

[0057] In one possible implementation, please refer to Figure 2 S2342, based on each hazardous cavity and the analysis environment, at least one focus area is obtained, including: S23421, In the analysis environment, establish an analysis range corresponding to each dangerous cavity based on each dangerous cavity; wherein, the analysis range is the part of the spherical space in the three-dimensional coordinate system that is in contact with the analysis model, with the dangerous cavity as the center and a preset radius as the radius.

[0058] It is understandable that the center of a dangerous cavity can be calculated using the centroid method to determine its center coordinates, or by calculating its geometric center through boundary fitting, but is not limited to these methods. The preset radius can be 0.2m, 0.25m, or a value defined by the user based on the actual road conditions, but is not limited to these methods. Establishing an analysis range corresponding to each dangerous cavity provides a basis for subsequent steps.

[0059] S23422, each analysis range is judged. If the number of dangerous cavities in the analysis range is greater than or equal to the preset number and / or the ratio of the volume of dangerous cavities in the analysis range to the volume of the analysis range is greater than or equal to the preset ratio, then the analysis range is identified as the focus area.

[0060] It is understandable that the preset number could be 3, 5, or a value customized by the user based on actual road conditions, but it is not limited to these. The preset ratio could be 0.3, 0.25, or a value customized by the user based on actual road conditions, but it is not limited to these. Determining the focus area through judgment can improve the recognition accuracy of the focus area.

[0061] S2343 identifies all the areas of emphasis as key area information.

[0062] It is understandable that identifying all the key areas as priority areas can provide a basis for subsequent steps.

[0063] S300 generates construction plans based on key area information; these plans are used to instruct users on how to carry out construction.

[0064] It is understandable that obtaining a construction plan based on key area information can be achieved by deriving the thickness projection (X-axis direction of the three-dimensional coordinate system) and surface projection (Z-axis direction of the three-dimensional coordinate system) corresponding to each key area and the analysis environment within the key area information. Then, based on each thickness projection and each surface projection, the milling position and milling depth corresponding to each key area are obtained. Finally, each milling position and each milling depth are confirmed as the construction plan. Alternatively, the key area information can be sent to the user and data transmitted by the user can be received, but this is not limited to these methods. Obtaining a construction plan based on key area information can accurately pinpoint construction needs, instructing construction personnel to fill voids or cracks in old concrete roads. This addresses the problem that directly laying asphalt on the milled surface to form a new pavement might shorten the service life of the pavement structure due to voids or cracks within the old concrete road.

[0065] In one possible implementation, please refer to Figure 3 S300, based on key area information, yields a construction plan, including: S310, Based on the analysis environment, multiple projection information corresponding to each emphasis region is obtained; among them, the projection information includes thickness projection and surface projection. The thickness projection is the image formed by projecting the analysis model and each dangerous cavity and the extent of each cavity in the emphasis region of the analysis model in the three-dimensional coordinate system along the direction parallel to the X-axis of the three-dimensional coordinate system. The surface projection is the image formed by projecting each dangerous cavity and the extent of each cavity in the emphasis region of the analysis model in the three-dimensional coordinate system along the direction parallel to the Z-axis of the three-dimensional coordinate system.

[0066] It is understandable that by projecting images of each dangerous cavity and its extent within a specific area onto a direction parallel to the X-axis of the three-dimensional coordinate system, the depth distribution of the cavities within that area can be visually reflected, providing a basis for analyzing the depth of secondary milling. Similarly, by projecting images of each dangerous cavity and its extent within a specific area onto a direction parallel to the Z-axis of the three-dimensional coordinate system, the location of the borehole during grouting can be analyzed.

[0067] S320, based on the projection of each thickness, obtains multiple milling information; among which, the milling information includes milling position and milling depth, and the milling information is used to prompt the user to mill the area reflected by the milling position on the old concrete road and the depth reflected by the milling depth.

[0068] It is understandable that obtaining multiple milling information based on various thickness projections can be achieved by identifying the area formed by projecting the emphasized region corresponding to the thickness projection along the Z-axis of the three-dimensional coordinate system onto the surface of the analysis model as the milling location. Then, multiple rays are drawn at preset intervals along the Z-axis of the thickness projection in a direction parallel to the Y-axis. The straight-line distance between the location of the ray that contacts the most dangerous cavities and their extent and the side of the thickness projection away from the Y-axis (the intersection point of the ray parallel to the Z-axis and the ray that contacts the most dangerous cavities and their extent, the intersection point of the ray parallel to the Z-axis and the side of the thickness projection away from the Y-axis, and the straight-line distance between the two intersection points) is determined as the milling depth. Alternatively, it can involve sending each thickness projection to the user and receiving data transmitted by the user, but is not limited to these methods. Obtaining multiple milling information based on various thickness projections can locate the milling location and confirm the milling depth, directly exposing cavities inside the road and reducing the number of boreholes required for grouting, thus mitigating rework problems caused by over- or under-milling.

[0069] In one possible implementation, please refer to Figure 3 S320 obtains multiple milling information based on various thickness projections, including: S321, the area formed by projecting the emphasis area corresponding to the thickness projection along the Z-axis of the three-dimensional coordinate system onto the surface of the analysis model is identified as the milling position.

[0070] It can be understood that the surface of the analysis model is the contact surface between the road and vehicles as reflected in the analysis model. The area formed by projecting the thickness projection corresponding to the emphasized area along the Z-axis of the three-dimensional coordinate system onto the surface of the analysis model can be transformed into an executable two-dimensional construction area through spatial projection transformation and coordinate mapping. The milling position is used to instruct construction personnel to mill the area reflected by the milling position.

[0071] S322, each thickness projection is analyzed separately. On the Z-axis of the thickness projection, multiple analysis points are obtained from the origin in the positive direction of the Z-axis at preset intervals. Then, multiple analysis lines are obtained by drawing perpendicular lines along the Y-axis parallel to the thickness projection with each analysis point as the foot of the perpendicular.

[0072] It is understandable that the preset interval can be 1, 0.5, or a value defined by the user based on the road thickness, but it is not limited to these. The Z-axis coordinate value of the analysis point farthest from the origin among all analysis points is greater than or equal to the Z-axis coordinate value of the point farthest from the origin on the thickness projection. The length of the analysis line can extend through the thickness projection.

[0073] S323, determine the number of contacts between each analysis line and the projection of the dangerous cavity and the projection of the cavity range, and obtain multiple contact numbers corresponding to each analysis line.

[0074] It is understandable that the method for determining whether the analysis line is in contact with the projection of the dangerous cavity and the projection of the cavity range can be based on coordinate intersection or pixel marking, but is not limited to these methods.

[0075] For example, suppose an analysis line simultaneously contacts the projection of one dangerous cavity and the projection of two cavity ranges, then the number of contacts corresponding to that analysis line = 1 + 2 = 3.

[0076] S324, the straight-line distance between the analysis line corresponding to the contact number whose value is greater than any other contact number and the side of the thickness projection away from the Y-axis is determined as the milling depth.

[0077] It can be understood that the side of the thickness projection furthest from the Y-axis is the side of the analysis model's projection range on the thickness projection that is furthest from the Y-axis.

[0078] For example, assuming the Z-axis coordinate of the analysis line is 0.5m, and the Z-axis coordinate of the side furthest from the Y-axis in the projection range of the analysis model on the thickness projection is 1m, then the milling depth = 1 - 0.5 = 0.5m.

[0079] S324, confirm the milling position and milling depth as milling information.

[0080] It is understandable that confirming the milling position and depth as milling information can prompt users to carry out construction and provide a basis for subsequent steps.

[0081] For example, before confirming the milling position and milling depth as milling information, it can be determined whether the milling depth exceeds 80% of the base thickness (the largest Z-axis coordinate value among all points on the analysis model minus the smallest Z-axis coordinate value among all points on the analysis model). If the milling depth exceeds 80% of the base thickness, the milling position and milling depth are sent to the user, who can then decide whether to continue confirming the milling position and milling depth as milling information.

[0082] S330 obtains multiple drilling information based on the projection of each surface; among them, the drilling information includes the drilling position and the endpoint position, and the drilling information is used to prompt the user to start vertical drilling from the drilling position until the hole reaches the endpoint position.

[0083] It is understandable that obtaining borehole information based on surface projection can involve analyzing whether the projections of each dangerous cavity and its extent overlap on the surface projection. The overlapping area where the projections of dangerous cavities overlap is identified as the borehole location. The dangerous cavities corresponding to the overlapping projections and the cavity extents corresponding to the overlapping projections are marked in the analysis model. The Z-axis coordinate of the center point of the marked dangerous cavity or cavity extent closest to the bottom side of the analysis model (the side furthest from the surface of the analysis model) is identified as the endpoint location. The Z-axis coordinate of the analysis model surface or the Z-axis of the borehole location is identified as the second depth. The value obtained by subtracting the endpoint location from the second depth is identified as the borehole depth. Alternatively, it could involve sending each surface projection to the user and receiving data transmitted by the user, but is not limited to these methods. Obtaining multiple borehole information based on various surface projections can accurately locate the borehole location and depth, ensuring effective filling of each cavity during grouting.

[0084] In one possible implementation, please refer to Figure 3 S330, based on the projection of each surface, obtains multiple borehole information, including: S331, Analyze the projections of each dangerous cavity in the projections of each surface to determine whether the projection of the dangerous cavity is in contact with the projections of other dangerous cavities and / or the projections of the cavity range.

[0085] It is understandable that methods for determining whether the projection of a hazardous cavity contacts the projections of other hazardous cavities and / or the projection of the cavity's extent can include line segment intersection detection, polygon overlap detection, etc., but are not limited to these. Determining whether the projection of a hazardous cavity contacts the projections of other hazardous cavities and / or the projection of the cavity's extent provides a basis for subsequent steps.

[0086] S332, if the projection of a dangerous cavity contacts the projection of other dangerous cavities and / or the projection of the cavity range, the contacting area is identified as the borehole area, and the borehole area is mapped onto the surface of the analysis model in the analysis environment, and then extended along the Z-axis of the three-dimensional coordinate system until it penetrates the analysis model to obtain the borehole range.

[0087] It is understood that if the projection of a hazardous cavity contacts the projections of other hazardous cavities and / or the projections of cavity extents, then the hazardous cavity and / or cavity extent can be connected by only one vertical borehole (the borehole diameter can be increased or the number of boreholes can be increased to ensure grouting efficiency). If the borehole area is circular, then the borehole extent is cylindrical.

[0088] S333, the contact surface between the drilling range and the surface image of the analysis model is identified as the drilling location.

[0089] It is understandable that identifying the contact surface between the drilling range and the surface image of the analysis model as the drilling location can help construction personnel confirm the construction location.

[0090] S334, within the borehole range, the center point of the part of the dangerous cavity that is closest to the origin of the three-dimensional coordinate system and contacts the borehole range, or the center point of the part of the cavity range that contacts the borehole range, is identified as the endpoint position.

[0091] It's understandable that the center point can be determined through methods such as centroid calculation or bounding box centering, but it's not limited to these. Obtaining the endpoint position helps construction personnel determine the drilling depth, ensuring that the drilled hole connects all dangerous cavities and cavity areas within the drilling range.

[0092] S335, confirm the drilling location and end point location as drilling information.

[0093] It is understandable that identifying the borehole location and endpoint as borehole information can provide construction personnel with a reference for drilling operations to facilitate grouting and filling voids. For example, borehole information can instruct construction personnel to drill vertically at the location indicated by the borehole location (the drilling direction is perpendicular to the road surface) until the drilled hole contacts the location indicated by the endpoint location and then stop drilling (or, based on the endpoint location, determine the borehole depth and instruct construction personnel to stop drilling once the borehole depth is reached), but it is not limited to these methods.

[0094] S340 confirms the milling information and drilling information as the construction plan.

[0095] It is understandable that confirming the milling and drilling information as part of the construction plan can accurately pinpoint construction needs, ensure that dangerous cavities inside the road can be filled during grouting, and improve the problem that directly spreading asphalt on the milled surface to form a new road surface may shorten the service life of the road structure due to cavities or gaps inside the old concrete road.

[0096] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0097] Corresponding to the construction method for upgrading and renovating old concrete roads with high-performance asphalt concrete pavement described in the above embodiments, this application also provides a construction system for upgrading and renovating old concrete roads with high-performance asphalt concrete pavement. Each unit of the system can realize each step of the construction method for upgrading and renovating old concrete roads with high-performance asphalt concrete pavement. Figure 4 The diagram shows a structural block diagram of the high-performance asphalt concrete pavement layer construction system for upgrading and renovating old concrete roads according to an embodiment of this application. For ease of explanation, only the parts related to the embodiment of this application are shown.

[0098] Reference Figure 4 The system includes: The acquisition unit is used to acquire road condition information, which includes surface images and structural models. The surface images are images reflecting the surface of the old concrete road after full-width milling, and the structural models are three-dimensional digital models reflecting the internal structure of the old concrete road.

[0099] The first analysis unit is used to obtain key area information based on road condition information; wherein, the key area information includes at least one focus area, which reflects an area on the old concrete road.

[0100] The second analysis unit is used to obtain construction plans based on key area information; the construction plans are used to instruct users on how to carry out the construction.

[0101] It should be noted that the information interaction and execution process between the above-mentioned units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0102] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0103] This application also provides a high-performance asphalt concrete pavement construction device for upgrading and renovating old concrete roads. Figure 5 This is a schematic diagram of the structure of a high-performance asphalt concrete pavement construction equipment for upgrading and renovating old concrete roads, provided as an embodiment of this application. Figure 5 As shown, the high-performance asphalt concrete pavement construction equipment for upgrading and renovating old concrete roads in this embodiment includes a control device 6. The control device 6 includes at least one processor 60. Figure 5 Only one is shown in the image), at least one memory 61 ( Figure 5 (Only one is shown in the image) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60, wherein when the processor 60 executes the computer program 62, it causes the high-performance asphalt concrete pavement to perform the steps in any of the above-described embodiments of the high-performance asphalt concrete pavement in the old concrete road upgrading and reconstruction construction equipment, or causes the high-performance asphalt concrete pavement to perform the functions of each unit in the above-described system embodiments.

[0104] For example, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 62 in the control device 6.

[0105] The control device 6 can be a computing device such as a desktop computer, laptop, handheld computer, or cloud server. The control device 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that... Figure 5 This is merely an example of equipment for upgrading and renovating old concrete roads with high-performance asphalt concrete pavement, and does not constitute a limitation on such equipment. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0106] The processor 60 can be a Central Processing Unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0107] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as a hard disk or memory of the control device 6. In other embodiments, the memory 61 may be an external storage device of the control device 6, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the control device 6. Furthermore, the memory 61 may include both internal storage units and external storage devices of the control device 6. The memory 61 is used to store operating systems, applications, bootloaders, data, and other programs, such as the program code of computer programs. The memory 61 can also be used to temporarily store data that has been output or will be output.

[0108] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.

[0109] This application provides a computer program product that, when running on a construction device for upgrading and renovating old concrete roads, enables the high-performance asphalt concrete surface layer to perform the steps described in any of the above-mentioned method embodiments.

[0110] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to high-performance asphalt concrete surface layer construction equipment for upgrading and renovating old concrete roads, recording media, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0111] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0112] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0113] In the embodiments provided in this application, it should be understood that the disclosed high-performance asphalt concrete pavement construction system, equipment, and method for upgrading and renovating old concrete roads can be implemented in other ways. For example, the embodiments of the high-performance asphalt concrete pavement construction system and equipment for upgrading and renovating old concrete roads described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0114] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0115] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for constructing a high-performance asphalt concrete surface layer for upgrading and renovating old concrete roads, characterized in that, include: Obtain road condition information; wherein, the road condition information includes surface images and structural models, the surface images are images reflecting the surface of an old concrete road after full-width milling, and the structural models are three-dimensional digital models reflecting the internal structure of the old concrete road; Based on the road condition information, key area information is obtained; wherein, the key area information includes at least one focus area, the focus area reflecting an area on the old concrete road; A construction plan is obtained based on the information of the key areas; wherein, the construction plan is used to instruct the user to carry out the construction.

2. The construction method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement as described in claim 1, characterized in that, The process of obtaining key area information based on the road condition information includes: Surface defect information is obtained based on the surface image; wherein, the surface defect information includes the surface image and at least one gap range marked on the surface image; Internal defect information is obtained based on the structural model; wherein, the internal defect information includes the structural model and at least one void range marked on the structural model; The key area information is obtained based on the surface defect information and the internal defect information.

3. The construction method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement as described in claim 2, characterized in that, The process of obtaining the key area information based on the surface defect information and the internal defect information includes: The surface image from the surface defect information is overlaid onto the structural model from the internal defect information to obtain the analysis model; A three-dimensional coordinate system is established based on the analysis model. After ensuring that the coordinate values ​​corresponding to any point on the analysis model are positive, the three-dimensional coordinate system and the analysis model are confirmed as the analysis environment. The Z-axis of the three-dimensional coordinate system is parallel to the thickness direction of the analysis model, the Y-axis of the three-dimensional coordinate system is parallel to the length direction of the analysis model, and the X-axis of the three-dimensional coordinate system is parallel to the width direction of the analysis model. Based on the analysis environment, cavity information corresponding to each cavity range is obtained; wherein, the cavity information includes cavity depth and cavity width, the cavity depth reflects the depth of the cavity range, and the cavity width reflects the width of the cavity range; The key area information is obtained based on the analysis environment and the void information.

4. The construction method for upgrading and renovating old concrete roads with high-performance asphalt concrete pavement as described in claim 3, characterized in that, The process of obtaining cavity information corresponding to each cavity range based on the analysis environment includes: The Z-axis coordinate value that is greater than the Z-axis coordinate value of any other point within the same cavity is identified as the first value, and the Z-axis coordinate value that is less than the Z-axis coordinate value of any other point within the same cavity is identified as the second value. The value obtained by subtracting the second value from the first value for each cavity is identified as the cavity depth. The X-axis coordinate value that is greater than the X-axis coordinate value of any other point within the same cavity is identified as the third value, and the X-axis coordinate value that is less than the X-axis coordinate value of any other point within the same cavity is identified as the fourth value. The value obtained by subtracting the fourth value from the third value for each cavity is identified as the cavity width. The depth and width of each cavity are identified as the cavity information.

5. The construction method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement as described in claim 3, characterized in that, The process of obtaining the key area information based on the analysis environment and the void information includes: The cavity range in which the cavity depth is greater than or equal to a preset depth and / or the cavity width is greater than or equal to a preset width is identified as a dangerous cavity; At least one focus area is obtained based on each of the aforementioned hazardous cavities and the aforementioned analysis environment; All of the emphasized areas are identified as the key area information.

6. The construction method for upgrading and renovating old concrete roads with high-performance asphalt concrete pavement as described in claim 5, characterized in that, The determination of at least one focus area based on each of the aforementioned hazardous cavities and the analysis environment includes: In the analysis environment, an analysis range corresponding to each of the dangerous voids is established; wherein, the analysis range is the portion of the spherical space in the three-dimensional coordinate system that is in contact with the analysis model, with the dangerous void as the center and a preset radius; Each of the analysis ranges is judged separately. If the number of dangerous cavities in the analysis range is greater than or equal to a preset number and / or the ratio of the volume of the dangerous cavities in the analysis range to the volume of the analysis range is greater than or equal to a preset ratio, then the analysis range is confirmed as the focus area.

7. The construction method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement as described in claim 5, characterized in that, The construction plan obtained based on the key area information includes: Based on the analysis environment, multiple projection information corresponding to each of the emphasized regions are obtained; wherein, the projection information includes thickness projection and surface projection, the thickness projection is an image formed by projecting the analysis model and each of the dangerous cavities and the range of each cavity in the emphasized region of the analysis model on the three-dimensional coordinate system along a direction parallel to the X-axis of the three-dimensional coordinate system, and the surface projection is an image formed by projecting each of the dangerous cavities and the range of each cavity in the emphasized region of the analysis model on the three-dimensional coordinate system along a direction parallel to the Z-axis of the three-dimensional coordinate system; Multiple milling information is obtained based on the thickness projections of each of the aforementioned thicknesses; wherein, the milling information includes milling position and milling depth, and the milling information is used to prompt the user to mill the area reflected by the milling position on the old concrete road and to mill the depth reflected by the milling depth; Multiple drilling information is obtained based on the projection of each of the aforementioned surfaces; wherein, the drilling information includes the drilling position and the endpoint position, and the drilling information is used to prompt the user to start vertical drilling from the drilling position until the hole reaches the endpoint position; The milling information and drilling information are confirmed as the construction plan.

8. The construction method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement as described in claim 7, characterized in that, The multiple milling information obtained based on each of the thickness projections includes: The area formed by projecting the emphasized region corresponding to the thickness projection along the Z-axis of the three-dimensional coordinate system onto the surface of the analysis model is identified as the milling position. Each thickness projection is analyzed separately. On the Z-axis of the thickness projection, multiple analysis points are obtained from the origin in the positive direction of the Z-axis at preset intervals. Then, multiple analysis lines are obtained by drawing perpendicular lines along the Y-axis parallel to the thickness projection, with each analysis point as the foot of the perpendicular. The number of contacts between each analysis line and the projection of the dangerous cavity and the projection of the cavity range are determined respectively, resulting in multiple contact numbers corresponding to each analysis line. The milling depth is defined as the straight-line distance between the analysis line corresponding to the contact number whose value is greater than any other contact number and the side of the thickness projection away from the Y-axis. The milling position and the milling depth are confirmed as the milling information.

9. The construction method for upgrading and renovating old concrete roads using high-performance asphalt concrete pavement as described in claim 7, characterized in that, The process of obtaining multiple borehole information based on the projections of each of the aforementioned surfaces includes: The projections of each dangerous cavity in each of the surface projections are analyzed to determine whether the projection of the dangerous cavity is in contact with the projections of other dangerous cavities and / or the projection of the cavity range. If the projection of the dangerous cavity contacts the projection of other dangerous cavities and / or the projection of the cavity range, the contacting area is identified as the drilling area. The drilling area is then mapped onto the surface of the analysis model in the analysis environment and extended along the Z-axis of the three-dimensional coordinate system until it penetrates the analysis model to obtain the drilling range. The contact surface between the borehole area and the surface image of the analysis model is identified as the borehole location; The endpoint position is determined as the center point of the portion of the dangerous cavity that is closest to the origin of the three-dimensional coordinate system within the borehole range that contacts the borehole range or the center point of the portion of the cavity range that contacts the borehole range. The borehole location and the endpoint location are confirmed as the borehole information.

10. A high-performance asphalt concrete surface layer construction device for upgrading and renovating old concrete roads, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1 to 9.

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