Large-volume coarse aggregate UHPC (Ultra High Performance Concrete) maintenance method based on temperature and humidity joint control

Abstract

The invention discloses a large-volume coarse aggregate UHPC maintenance method based on temperature and humidity joint control, and the method comprises the steps: scanning an infrared temperature image and an infrared humidity image of a coarse aggregate UHPC structure in a maintenance process through an infrared temperature and humidity scanner, constructing a three-dimensional coordinate system, and calculating the coordinates of a pixel projection grid; fusing two adjacent infrared temperature images and infrared humidity images to obtain representative temperature and representative humidity; constructing an absolute temperature rise model and a three-dimensional heat conduction equation, and calculating a real-time ideal temperature; and formulating a temperature and humidity combined control maintenance measure. Joint detection of the temperature and humidity of each point position on the surface of the structure is realized by combining thermal imaging scanning and an image processing technology, accurate temperature and humidity joint control maintenance is performed by combining the surface humidity, accurate maintenance of a large-volume coarse aggregate UHPC area is realized, and the maintenance quality can be effectively improved.

Description

A UHPC curing method for large-volume coarse aggregates based on temperature and humidity control Technical Field

[0001] This invention relates to the field of concrete curing, specifically to a method for curing large-volume coarse aggregate UHPC based on temperature and humidity control. Background Technology

[0002] Ultra-high performance concrete (UHPC) is increasingly widely used in large-volume structural engineering due to its high strength and durability. However, large-volume UHPCs, with their high cementitious material content and concentrated heat of hydration release, are prone to excessive internal temperature gradients, leading to temperature cracks. Simultaneously, the introduction of coarse aggregates alters the internal temperature and humidity distribution of the concrete. Traditional curing methods (such as circulating water cooling and steam curing) struggle to achieve precise combined temperature and humidity control, resulting in poor curing effects, high concrete shrinkage, and significant strength dispersion. While existing technologies have designed related curing, insulation, and moisture retention measures for concrete structures, these only achieve overall insulation. However, given the significant differences in temperature and humidity variations within different regions of large-volume coarse aggregate UHPC structures, a uniform curing method still results in uneven temperature and humidity, leading to parametric cracks during curing and failing to adapt to the complex temperature and humidity changes within and on the surface of large-volume structures. Summary of the Invention

[0003] To address the aforementioned shortcomings of existing technologies, this invention provides a method for curing large-volume coarse aggregate UHPC based on temperature and humidity control. This method combines thermal imaging and image processing technologies to achieve joint detection of temperature and humidity in the surface areas of the structure, and formulates different curing strategies for each area.

[0004] To achieve the above-mentioned objectives, the technical solution adopted by this invention is as follows: A method for curing large-volume coarse aggregate UHPC based on temperature and humidity control is provided, comprising the following steps: S1: Using an infrared temperature and humidity scanner to scan infrared temperature and humidity images of the coarse aggregate UHPC structure during the curing process, a three-dimensional coordinate system is constructed in the three-dimensional space of the curing area. Pixels in the infrared temperature and humidity images are projected into the three-dimensional coordinate system, and the coordinates of the pixel projection grid are calculated; S2: Based on the coordinates of the pixel projection grid, the pixel temperature and pixel humidity at the same position between two adjacent infrared temperature and humidity images are fused, and the pixel temperature corresponding to each pixel projection grid is taken as the representative temperature, and the pixel humidity corresponding to each pixel projection grid is taken as the representative humidity; S3: Based on the absolute temperature rise model and three-dimensional heat conduction equation of the coarse aggregate UHPC during the hydration heat process, the real-time ideal temperature of the surface of the coarse aggregate UHPC structure during the hydration heat process is calculated; S4: Using the real-time ideal temperature and the representative temperature corresponding to the pixel projection grid, the location on the coarse aggregate UHPC structure that needs curing is obtained, and the representative humidity corresponding to the projection grid is compared with the ideal humidity. Develop maintenance measures that combine temperature and humidity control.

[0005] Further, step S1 includes: S11: Obtaining the dimensional parameters of the coarse aggregate UHPC structure and constructing a three-dimensional space of the curing area. A three-dimensional coordinate system is constructed within this space, with the xoy plane representing the ground surface and the z-axis perpendicular to the ground. Based on the dimensional parameters, a three-dimensional model of the coarse aggregate UHPC structure is drawn in the three-dimensional space, with the edges of the model parallel to the x, y, and z axes of the three-dimensional coordinate system, respectively; S12: Installing an infrared temperature and humidity scanner on the robotic arm and continuously scanning the surface of the coarse aggregate UHPC structure using the scanner to obtain continuous infrared temperature and humidity images of the surface; S13: Based on the coordinates of the origin of the robotic arm's base coordinate system in the three-dimensional coordinate system... And the coordinates of the reference points of the images acquired by the infrared temperature and humidity scanner in the base coordinate system. Calculate the coordinates of the reference point in the three-dimensional coordinate system. ; S14: Based on the actual scanning range of the infrared temperature and humidity scanner, calculate the coordinates of the pixel projections in the infrared temperature and humidity images in the three-dimensional coordinate system. The pixels are projected into a three-dimensional coordinate system to mesh the surface of the coarse aggregate UHPC structure, resulting in a uniform pixel projection mesh, where i is the pixel projection mesh number.

[0006] Furthermore, the specific method for calculating the pixel projection grid coordinates is as follows: The coordinates of the pixel projection grid corresponding to the continuous infrared temperature and infrared humidity images obtained from scanning the upper surface of the coarse aggregate UHPC structure are calculated in the three-dimensional coordinate system. The calculation method is as follows: ; ;in, Let be the pixel coordinates of pixel i relative to the reference point in the xoy plane of the three-dimensional coordinate system, and k be the coefficient relating the pixel length to the unit length of the three-dimensional coordinate system. H represents the distance between the infrared temperature and humidity scanner and the surface of the coarse aggregate UHPC structure; H represents the coordinates of the pixel grid corresponding to the continuous infrared temperature and humidity images obtained from scanning the lower surface of the coarse aggregate UHPC structure in the three-dimensional coordinate system. The calculation method is as follows: ; Where L represents the height of the coarse aggregate UHPC structure; and L represents the coordinates of the pixel projection grid corresponding to the continuous infrared temperature and infrared humidity images obtained from scanning one side of the coarse aggregate UHPC structure in the three-dimensional coordinate system. The calculation method is as follows: ;in, Let be the pixel coordinates of pixel i relative to the reference point in the yoz plane of the three-dimensional coordinate system; and let be the coordinates of the pixel projection mesh in the three-dimensional coordinate system corresponding to the continuous infrared temperature and infrared humidity images obtained from scanning the other side of the coarse aggregate UHPC structure. The calculation method is as follows: ; Obtain the pixel projection grid coordinates corresponding to each pixel within the continuous infrared temperature and humidity images. .

[0007] Further, step S2 includes: S21: Filtering out two pixel temperatures with the same pixel projection grid coordinates in two adjacent infrared temperature images. Two pixels with the same pixel projection grid coordinates are considered overlapping pixels. Calculate the representative temperature corresponding to the pixel projection grid. In two adjacent infrared temperature images, pixels with different pixel projection grid coordinates do not overlap. The pixel temperature corresponding to the non-overlapping pixel is taken as the representative temperature of the corresponding pixel projection grid. This yields the representative temperature of each pixel projection grid after boundary fusion of the infrared temperature images on the surface of the coarse aggregate UHPC structure. n is the pixel projection grid number of the coarse aggregate UHPC structure surface; S22: Repeat step S21 to obtain the representative humidity of each pixel projection grid after infrared humidity image boundary fusion of the coarse aggregate UHPC structure surface. .

[0008] Further, step S3 includes: S31: based on the absolute temperature rise model of coarse aggregate UHPC during the heat of hydration process; ;in, This represents the real-time temperature rise during the hydrothermal processing of coarse aggregate in UHPC. As the correction factor, take m and n are the rate coefficients of hydrothermal transformation of coarse aggregate in UHPC, respectively, and e is the natural constant. S32: The ideal maximum temperature rise value for the UHPC hydrothermal process of coarse aggregate; S32: Real-time temperature rise value As the real-time central temperature of the coarse aggregate UHPC structure during the hydrothermal process, the real-time temperature of the surface of the coarse aggregate UHPC structure is calculated based on the three-dimensional heat conduction equation. Where K is the thermal conductivity coefficient of coarse aggregate UHPC, and c is the specific heat capacity of coarse aggregate UHPC. The density of coarse aggregate UHPC The ideal temperature in the cross-sectional direction of a coarse aggregate UHPC structure. For the Laplace operator; S33: Input the height and width data of the coarse aggregate UHPC structure into the three-dimensional heat conduction equation, take the general value of the height and width data, and output the real-time ideal temperature of the surface of the coarse aggregate UHPC structure. .

[0009] Further, step S4 includes: S41: based on the representative temperature of each pixel projection grid on the surface of the coarse aggregate UHPC structure, which is scanned in real time by an infrared temperature and humidity scanner. Calculate the real-time temperature difference during the hydrothermal process. S42: Set temperature difference threshold ,like If the temperature difference between the inside and outside of the surface corresponding to pixel projection grid n is large, then insulation is required at the corresponding position of pixel projection grid n on the coarse aggregate UHPC structure, and step S43 is executed; otherwise, if the temperature difference between the inside and outside of the surface corresponding to pixel projection grid n is small, then insulation is not required, and step S44 is executed; S43: Obtain the representative humidity of the pixel projection grid n position that needs insulation. Calculate the representative humidity Ideal humidity of the surface of the coarse aggregate UHPC structure The difference Set humidity difference threshold ,like If the condition is met, then it is determined that temperature and humidity combined curing should be performed on the corresponding position of pixel projection grid n, and water at a suitable temperature should be used for sprinkling curing to achieve both heat preservation and moisture retention; otherwise, it is determined that heat storage curing should be performed on the corresponding position of pixel projection grid n; S44: Obtain the representative humidity of the pixel projection grid n position that does not require heat preservation. Calculate the representative humidity With ideal humidity The difference ;like If the condition is met, then the corresponding position of pixel projection grid n is determined to be covered with a film for moisturizing and maintenance; otherwise, the corresponding position of pixel projection grid n is determined to be naturally maintained.

[0010] The beneficial effects of this invention are as follows: This invention combines thermal imaging scanning and image processing technology to achieve joint detection of temperature and humidity at various points on the surface of the structure. It can also achieve real-time, high-precision temperature and humidity detection at various points on the surface of large-volume coarse aggregate UHPC structures. The detection process is intelligent. By constructing an absolute temperature rise model of coarse aggregate UHPC in the hydration heat process and fitting the temperature diffusion process inside the coarse aggregate UHPC structure with a three-dimensional heat conduction equation, the ideal surface temperature is obtained. By comparing the ideal surface temperature and the real-time surface temperature, reasonable maintenance measures are formulated. At the same time, precise temperature and humidity control maintenance is carried out in combination with surface humidity, realizing precise maintenance of each area of ​​large-volume coarse aggregate UHPC, which can effectively improve the maintenance quality. Attached Figure Description

[0011] Figure 1 is a flowchart of the UHPC curing method for large-volume coarse aggregates based on temperature and humidity control.

[0012] Figure 2 is a schematic diagram of the infrared temperature and humidity scanner. Detailed Implementation

[0013] The specific embodiments of the present invention are described below to enable those skilled in the art to understand the present invention. However, it should be understood that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, various changes are obvious as long as they are within the spirit and scope of the present invention as defined and determined by the appended claims. All inventions utilizing the concept of the present invention are protected.

[0014] As shown in Figure 1, a method for curing large-volume coarse aggregate UHPC based on temperature and humidity control includes the following steps: S1: Using an infrared temperature and humidity scanner to scan the infrared temperature and humidity images of the coarse aggregate UHPC structure during the curing process, a three-dimensional coordinate system is constructed in the three-dimensional space of the curing area, and the pixels in the infrared temperature and humidity images are projected into the three-dimensional coordinate system to calculate the coordinates of the pixel projection grid.

[0015] Step S1 specifically includes the following steps: S11: Obtain the dimensional parameters of the coarse aggregate UHPC structure and construct a three-dimensional space of the curing area. Construct a three-dimensional coordinate system in the three-dimensional space, with the xoy plane of the three-dimensional coordinate system representing the ground of the three-dimensional space and the z-axis perpendicular to the ground. Draw a three-dimensional model of the coarse aggregate UHPC structure in the three-dimensional space based on the dimensional parameters. The edges of the three-dimensional model are parallel to the x-axis, y-axis, and z-axis of the three-dimensional coordinate system, respectively. S12: Install an infrared temperature and humidity scanner on a robotic arm and use the infrared temperature and humidity scanner to continuously scan the surface of the coarse aggregate UHPC structure to obtain continuous infrared temperature and infrared humidity images of the surface of the coarse aggregate UHPC structure. As shown in Figure 2, in this embodiment, during scanning, the scanning is performed along the length direction of the coarse aggregate UHPC structure to obtain continuous infrared temperature and infrared humidity images.

[0016] S13: Based on the coordinates of the origin of the robotic arm's base coordinate system in the three-dimensional coordinate system And the coordinates of the reference points of the images acquired by the infrared temperature and humidity scanner in the base coordinate system. Calculate the coordinates of the reference point in the three-dimensional coordinate system. ; The robotic arm drives an infrared temperature and humidity scanner to continuously scan along the axial direction of the coarse aggregate UHPC structure, obtaining continuous infrared temperature and humidity images of the upper surface, lower surface, and left and right side surfaces. The robotic arm continuously moves the infrared temperature and humidity scanner axially, with coordinates... Within a three-dimensional coordinate system, the coordinates of the reference points are dynamically changing. Based on the planned scanning trajectory points on the axis, the coordinates of the continuous dynamic reference points can be calculated. .

[0017] S14: Based on the actual scanning range of the infrared temperature and humidity scanner, calculate the coordinates of the pixel projections in the infrared temperature and humidity images in the three-dimensional coordinate system. The pixels are projected into a three-dimensional coordinate system to mesh the surface of the coarse aggregate UHPC structure, resulting in a uniform pixel projection mesh, where i is the pixel projection mesh number.

[0018] The coordinates of the pixel projection grid corresponding to the continuous infrared temperature and infrared humidity images obtained from the upper surface of the coarse aggregate UHPC structure in the three-dimensional coordinate system. The calculation method is as follows: ; ;in, Let be the pixel coordinates of pixel i relative to the reference point in the xoy plane of the three-dimensional coordinate system, and k be the coefficient relating the pixel length to the unit length of the three-dimensional coordinate system. H represents the distance between the infrared temperature and humidity scanner and the surface of the coarse aggregate UHPC structure; H represents the coordinates of the pixel grid corresponding to the continuous infrared temperature and humidity images obtained from scanning the lower surface of the coarse aggregate UHPC structure in the three-dimensional coordinate system. The calculation method is as follows: ; Where L represents the height of the coarse aggregate UHPC structure; and L represents the coordinates of the pixel projection grid corresponding to the continuous infrared temperature and infrared humidity images obtained from scanning one side of the coarse aggregate UHPC structure in the three-dimensional coordinate system. The calculation method is as follows: ;in, Let be the pixel coordinates of pixel i relative to the reference point in the yoz plane of the three-dimensional coordinate system; and let be the coordinates of the pixel projection mesh in the three-dimensional coordinate system corresponding to the continuous infrared temperature and infrared humidity images obtained from scanning the other side of the coarse aggregate UHPC structure. The calculation method is as follows: ; Obtain the pixel projection grid coordinates corresponding to each pixel within the continuous infrared temperature and humidity images. .

[0019] S2: Based on the coordinates of the pixel projection grid, fuse the pixel temperature and pixel humidity at the same position between two adjacent infrared temperature and infrared humidity images, and use the pixel temperature corresponding to each pixel projection grid as the representative temperature and the pixel humidity corresponding to each pixel projection grid as the representative humidity.

[0020] Step S2 specifically includes the following steps: S21: Filter out two pixel temperatures with the same pixel projection grid coordinates in two adjacent infrared temperature images. Two pixels with the same pixel projection grid coordinates are considered overlapping pixels. Calculate the representative temperature corresponding to the pixel projection grid. In two adjacent infrared temperature images, pixels with different pixel projection grid coordinates do not overlap. The pixel temperature corresponding to the non-overlapping pixel is taken as the representative temperature of the corresponding pixel projection grid. This yields the representative temperature of each pixel projection grid after boundary fusion of the infrared temperature images on the surface of the coarse aggregate UHPC structure. n is the pixel projection grid number of the coarse aggregate UHPC structure surface; S22: Repeat step S21 to obtain the representative humidity of each pixel projection grid after infrared humidity image boundary fusion of the coarse aggregate UHPC structure surface. .

[0021] S3: Based on the absolute temperature rise model and three-dimensional heat conduction equation of coarse aggregate UHPC during the hydration heat process, calculate the real-time ideal surface temperature of the coarse aggregate UHPC structure during the hydration heat process.

[0022] Step S3 specifically includes the following steps: S31: Based on the absolute temperature rise model of coarse aggregate UHPC during the heat of hydration process; ;in, This represents the real-time temperature rise during the hydrothermal processing of coarse aggregate in UHPC. As the correction factor, take m and n are the rate coefficients of hydrothermal transformation of coarse aggregate in UHPC, respectively, and e is the natural constant. S32: The ideal maximum temperature rise value for the UHPC hydrothermal process of coarse aggregate; S32: Real-time temperature rise value As the real-time central temperature of the coarse aggregate UHPC structure during the hydrothermal process, the real-time temperature of the surface of the coarse aggregate UHPC structure is calculated based on the three-dimensional heat conduction equation. Where K is the thermal conductivity coefficient of coarse aggregate UHPC, and c is the specific heat capacity of coarse aggregate UHPC. The density of coarse aggregate UHPC The ideal temperature in the cross-sectional direction of a coarse aggregate UHPC structure. For the Laplace operator; S33: Input the height and width data of the coarse aggregate UHPC structure into the three-dimensional heat conduction equation, take the general value of the height and width data, and output the real-time ideal temperature of the surface of the coarse aggregate UHPC structure. .

[0023] S4: Using the real-time ideal temperature and the representative temperature corresponding to the pixel projection grid, obtain the locations on the coarse aggregate UHPC structure that require curing, and compare the representative humidity corresponding to the projection grid with the ideal humidity. Develop maintenance measures that combine temperature and humidity control.

[0024] Step S4 specifically includes the following steps: S41: Based on the representative temperature of each pixel projection grid on the surface of the coarse aggregate UHPC structure, which is scanned in real time by an infrared temperature and humidity scanner. Calculate the real-time temperature difference during the hydrothermal process. S42: Set temperature difference threshold ,like If the temperature difference between the inside and outside of the surface corresponding to pixel projection grid n is large, then insulation is required at the corresponding position of pixel projection grid n on the coarse aggregate UHPC structure, and step S43 is executed; otherwise, if the temperature difference between the inside and outside of the surface corresponding to pixel projection grid n is small, then insulation is not required, and step S44 is executed; S43: Obtain the representative humidity of the pixel projection grid n position that needs insulation. Calculate the representative humidity Ideal humidity of the surface of the coarse aggregate UHPC structure The difference Set humidity difference threshold ,like If the condition is met, then it is determined that temperature and humidity combined curing should be performed on the corresponding position of pixel projection grid n, and water at a suitable temperature should be used for sprinkling curing to achieve both heat preservation and moisture retention; otherwise, it is determined that heat storage curing should be performed on the corresponding position of pixel projection grid n; S44: Obtain the representative humidity of the pixel projection grid n position that does not require heat preservation. Calculate the representative humidity With ideal humidity The difference ;like If the condition is met, then the corresponding position of pixel projection grid n is determined to be covered with a film for moisturizing and maintenance; otherwise, the corresponding position of pixel projection grid n is determined to be naturally maintained.

Claims

1. A method for curing large-volume coarse aggregate UHPC based on temperature and humidity control, characterized in that, Includes the following steps: S1: Use an infrared temperature and humidity scanner to scan the infrared temperature and humidity images of the coarse aggregate UHPC structure during the curing process. Construct a three-dimensional coordinate system in the three-dimensional space of the curing area, project the pixels in the infrared temperature and humidity images into the three-dimensional coordinate system, and calculate the coordinates of the pixel projection grid. S2: Based on the coordinates of the pixel projection grid, fuse the pixel temperature and pixel humidity at the same position between two adjacent infrared temperature and infrared humidity images, and use the pixel temperature corresponding to each pixel projection grid as the representative temperature and the pixel humidity corresponding to each pixel projection grid as the representative humidity. S3: Based on the absolute temperature rise model and three-dimensional heat conduction equation of coarse aggregate UHPC during the hydration heat process, calculate the real-time ideal surface temperature of the coarse aggregate UHPC structure during the hydration heat process. S4: Using the real-time ideal temperature and the representative temperature corresponding to the pixel projection grid, obtain the locations on the coarse aggregate UHPC structure that require curing, and compare the representative humidity corresponding to the projection grid with the ideal humidity. Develop maintenance measures that combine temperature and humidity control.

2. The method for curing large-volume coarse aggregate UHPC based on temperature and humidity control according to claim 1, characterized in that, Step S1 includes: S11: Obtaining the dimensional parameters of the coarse aggregate UHPC structure and constructing a three-dimensional space of the curing area. A three-dimensional coordinate system is constructed within this space, with the xoy plane representing the ground and the z-axis perpendicular to the ground. Based on the dimensional parameters, a three-dimensional model of the coarse aggregate UHPC structure is drawn in the three-dimensional space, with the edges of the model parallel to the x, y, and z axes of the three-dimensional coordinate system, respectively. S12: Installing an infrared temperature and humidity scanner on the robotic arm and continuously scanning the surface of the coarse aggregate UHPC structure using the scanner to obtain continuous infrared temperature and humidity images of the surface. S13: Based on the coordinates of the origin of the robotic arm's base coordinate system in the three-dimensional coordinate system... And the coordinates of the reference points of the images acquired by the infrared temperature and humidity scanner in the base coordinate system. Calculate the coordinates of the reference point in the three-dimensional coordinate system. ； S14: Based on the actual scanning range of the infrared temperature and humidity scanner, calculate the coordinates of the pixel projections in the infrared temperature and humidity images in the three-dimensional coordinate system. The pixels are projected into a three-dimensional coordinate system to mesh the surface of the coarse aggregate UHPC structure, resulting in a uniform pixel projection mesh, where i is the pixel projection mesh number.

3. The method for curing large-volume coarse aggregate UHPC based on temperature and humidity control according to claim 2, characterized in that, The specific method for calculating the pixel projection grid coordinates is as follows: The coordinates of the pixel projection grid corresponding to the continuous infrared temperature and infrared humidity images obtained from scanning the upper surface of the coarse aggregate UHPC structure are calculated in a three-dimensional coordinate system. The calculation method is as follows: ； ;in, Let be the pixel coordinates of pixel i relative to the reference point in the xoy plane of the three-dimensional coordinate system, and k be the coefficient relating the pixel length to the unit length of the three-dimensional coordinate system. H represents the distance between the infrared temperature and humidity scanner and the surface of the coarse aggregate UHPC structure; H represents the coordinates of the pixel grid corresponding to the continuous infrared temperature and humidity images obtained from scanning the lower surface of the coarse aggregate UHPC structure in the three-dimensional coordinate system. The calculation method is as follows: ； Where L represents the height of the coarse aggregate UHPC structure; and L represents the coordinates of the pixel projection grid corresponding to the continuous infrared temperature and infrared humidity images obtained from scanning one side of the coarse aggregate UHPC structure in the three-dimensional coordinate system. The calculation method is as follows: ;in, Let be the pixel coordinates of pixel i relative to the reference point in the yoz plane of the three-dimensional coordinate system; and let be the coordinates of the pixel projection mesh in the three-dimensional coordinate system corresponding to the continuous infrared temperature and infrared humidity images obtained from scanning the other side of the coarse aggregate UHPC structure. The calculation method is as follows: ; Obtain the pixel projection grid coordinates corresponding to each pixel within the continuous infrared temperature and humidity images. 。 4. The method for curing large-volume coarse aggregate UHPC based on temperature and humidity control according to claim 2, characterized in that, Step S2 includes: S21: Filtering out two pixel temperatures with the same pixel projection grid coordinates in two adjacent infrared temperature images. Two pixels with the same pixel projection grid coordinates are considered overlapping pixels. Calculate the representative temperature corresponding to the pixel projection grid. In two adjacent infrared temperature images, pixels with different pixel projection grid coordinates do not overlap. The pixel temperature corresponding to the non-overlapping pixel is taken as the representative temperature of the corresponding pixel projection grid. This yields the representative temperature of each pixel projection grid after boundary fusion of the infrared temperature images on the surface of the coarse aggregate UHPC structure. n is the pixel projection grid number of the coarse aggregate UHPC structure surface; S22: Repeat step S21 to obtain the representative humidity of each pixel projection grid after infrared humidity image boundary fusion of the coarse aggregate UHPC structure surface. 。 5. The method for curing large-volume coarse aggregate UHPC based on temperature and humidity control according to claim 4, characterized in that, Step S3 Includes: S31: Based on the absolute temperature rise model of coarse aggregate UHPC during the heat of hydration process; ;in, This represents the real-time temperature rise during the hydrothermal processing of coarse aggregate in UHPC. As the correction factor, take m and n are the rate coefficients of hydrothermal transformation of coarse aggregate in UHPC, respectively, and e is the natural constant. S32: The ideal maximum temperature rise value for the UHPC hydrothermal process of coarse aggregate; S32: Real-time temperature rise value As the real-time central temperature of the coarse aggregate UHPC structure during the hydrothermal process, the real-time temperature of the surface of the coarse aggregate UHPC structure is calculated based on the three-dimensional heat conduction equation. Where K is the thermal conductivity coefficient of coarse aggregate UHPC, and c is the specific heat capacity of coarse aggregate UHPC. The density of coarse aggregate UHPC The ideal temperature in the cross-sectional direction of a coarse aggregate UHPC structure. For the Laplace operator; S33: Input the height and width data of the coarse aggregate UHPC structure into the three-dimensional heat conduction equation, take the general value of the height and width data, and output the real-time ideal temperature of the surface of the coarse aggregate UHPC structure. 。 6. The method for curing large-volume coarse aggregate UHPC based on temperature and humidity control according to claim 5, characterized in that, Step S4 includes: S41: Based on the representative temperature of each pixel projection grid on the surface of the coarse aggregate UHPC structure, as scanned in real time by an infrared temperature and humidity scanner. Calculate the real-time temperature difference during the hydrothermal process. S42: Set temperature difference threshold ,like If the temperature difference between the inside and outside of the surface corresponding to pixel projection grid n is large, then insulation is required at the corresponding position of pixel projection grid n on the coarse aggregate UHPC structure, and step S43 is executed; otherwise, if the temperature difference between the inside and outside of the surface corresponding to pixel projection grid n is small, then insulation is not required, and step S44 is executed; S43: Obtain the representative humidity of the pixel projection grid n position that needs insulation. Calculate the representative humidity Ideal humidity of the surface of the coarse aggregate UHPC structure The difference Set humidity difference threshold ,like If the condition is met, then it is determined that temperature and humidity combined curing should be performed on the corresponding position of pixel projection grid n, and water at a suitable temperature should be used for sprinkling curing to achieve both heat preservation and moisture retention; otherwise, it is determined that heat storage curing should be performed on the corresponding position of pixel projection grid n; S44: Obtain the representative humidity of the pixel projection grid n position that does not require heat preservation. Calculate the representative humidity With ideal humidity The difference ;like If the condition is met, then the corresponding position of pixel projection grid n is determined to be covered with a film for moisturizing and maintenance; otherwise, the corresponding position of pixel projection grid n is determined to be naturally maintained.

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