A smart water spraying curing system and method for concrete based on geotextile visual inspection

Abstract

This invention discloses an intelligent water spraying curing system and method for concrete based on geotextile visual inspection. The system includes: a visual monitoring subsystem for acquiring image data of geotextile covering the concrete surface; an image recognition subsystem for preprocessing the image data to generate moisture content distribution data; a control decision subsystem for dividing the panel into sub-regions according to the coverage area of ​​the sprayers, identifying areas to be cured with moisture content below a threshold, matching the corresponding sprayers, and generating control commands; a water spraying execution subsystem for executing the water spraying operation through adjustable equipment; and a closed-loop evaluation subsystem for evaluating the moisture content after the water spraying operation is executed by re-measuring the moisture content through the visual monitoring subsystem and the image recognition subsystem, and optimizing the control commands based on the evaluation results. This invention achieves accurate perception of the moisture content of the geotextile on the concrete surface and on-demand water spraying, significantly saving water resources and labor costs, improving curing uniformity, and reducing the risk of early cracking in concrete.

Description

Technical Field

[0001] This invention relates to the field of concrete panel curing technology, and in particular to an intelligent water spraying curing system and method for concrete based on geotextile visual inspection. Background Technology

[0002] Concrete structures are widely used in water conservancy, construction, and other engineering fields. During their early hardening stage, they are susceptible to hydration heat, drying shrinkage, and temperature fluctuations, leading to potential cracking that seriously threatens structural strength and impermeability. Therefore, scientific curing is necessary to maintain surface humidity and reduce internal and external temperature differences. Geotextile covering combined with water spraying is a common method for concrete curing, particularly suitable for large-scale concrete structures such as dam panels. Geotextiles can lock in moisture and slow down evaporation, while water spraying further ensures curing effectiveness. Meanwhile, the near-infrared band, due to the significant absorption characteristics of water at specific wavelengths, has been increasingly used for non-contact measurement of material moisture content. The exploration of hyperspectral / near-infrared imaging technology in concrete curing quality assessment, along with the maturity of closed-loop irrigation models from sensors to controllers to actuators in agriculture and landscaping, provides technical references for the development of intelligent concrete curing technology.

[0003] However, existing concrete spraying curing technologies still have significant limitations: traditional curing relies heavily on fixed spray pipes, mobile spray trucks, or manual water guns. In large-area, complex environments, manual and mobile equipment curing requires substantial manpower and is easily affected by the operator's experience, making it difficult to achieve all-weather, full-coverage operation. Fixed spray pipes often use excessive flow rates to avoid uneven wetting in certain areas, resulting in serious water waste. Furthermore, current curing methods lack precise control capabilities, failing to dynamically adjust spraying strategies based on the actual moisture content of the geotextile. They also lack a closed-loop mechanism, making it difficult to adapt to the complex lighting and wind conditions of large-scale structures such as dam panels. This results in insufficient curing uniformity and stability, and the risk of concrete quality issues due to untimely or excessive curing remains. Summary of the Invention

[0004] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0005] In view of the aforementioned existing problems, this invention is proposed. Therefore, this invention provides a smart concrete spraying curing system based on geotextile visual inspection to solve the problems of high labor costs and serious water waste associated with traditional spraying methods.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] In a first aspect, the present invention provides a smart water spraying curing system for concrete based on geotextile visual inspection, comprising:

[0008] The visual monitoring subsystem is used to acquire image data of geotextile covering the concrete surface;

[0009] An image recognition subsystem is used to preprocess the image data to generate moisture content distribution data;

[0010] The control decision subsystem is used to receive the moisture content distribution data, divide the panel into sub-regions according to the coverage of the sprinklers, identify the maintenance areas with moisture content below the threshold, match the corresponding sprinklers, and generate control commands.

[0011] The water spraying execution subsystem is used to receive control commands and execute water spraying operations through adjustable devices;

[0012] The closed-loop evaluation subsystem is used to evaluate the water content after the water spraying operation is executed by re-measuring the moisture content through the visual monitoring subsystem and the image recognition subsystem, and to optimize the control commands based on the evaluation results.

[0013] As a preferred embodiment of the intelligent water spraying curing system for concrete based on geotextile visual inspection according to the present invention, the image data is preprocessed to generate moisture content distribution data, including:

[0014] Geometric correction is performed on the image data of geotextile covering the concrete surface, then strong light or shadow areas in the image are identified, independent exposure or gain compensation is performed on the partitions, and grayscale and brightness transition processing is performed at the edge of the partition.

[0015] Based on the moisture content-reflectance curve or moisture content-brightness curve, the pixel information of the geometrically corrected image is inverted to the moisture content of the geotextile, generating global moisture content distribution data.

[0016] As a preferred embodiment of the intelligent concrete spraying curing system based on geotextile visual inspection described in this invention, the system includes: receiving the moisture content distribution data, dividing the panel into sub-regions according to the sprayer coverage area, identifying areas to be cured with moisture content below a threshold, matching the corresponding sprayer, and generating control commands, including:

[0017] Based on the area of ​​the water jet from the water sprayer spread on the geotextile on the concrete surface, panel sub-regions larger than the spread area are divided. The moisture content of each sub-region is compared with the lower limit threshold of the geotextile moisture content. Sub-regions with moisture content lower than the threshold are marked as sub-regions to be cured.

[0018] Based on the effective spray range of the sprinkler, the sprinkler with a height higher than the sub-area to be maintained is selected for matching, and the spray parameters are calculated and obtained according to different spray modes to generate spray control commands.

[0019] As a preferred embodiment of the intelligent concrete spraying curing system based on geotextile visual detection described in this invention, the system includes: calculating and obtaining spraying parameters according to different spraying modes to generate spraying control commands, including:

[0020] If it is a continuous water spraying mode, first combine the current water supply pressure, solve the energy equation, dynamic equation and motion equation simultaneously, and calculate the gimbal rotation angle and pitch angle of the matching water sprayer; then calculate the required water supply based on the area of ​​the sub-area to be cured, the maximum water absorption per unit area of ​​geotextile and the current moisture content of the sub-area; combine the water sprayer outlet cross-sectional area and the initial velocity of the water flow to determine the effective spraying time; integrate the rotation angle, pitch angle and spraying time as continuous spraying parameters and generate continuous spraying control commands.

[0021] If it is a point spray mode, based on the calculation of the gimbal rotation angle, pitch angle and effective spray duration in the continuous spray mode, the spray frequency and valve duty cycle are further determined according to the water demand uniformity requirements of the sub-area to be maintained, so that the total spray volume matches the required water supply. The rotation angle, pitch angle, spray frequency and valve duty cycle are integrated as point spray parameters to generate point spray control commands.

[0022] As a preferred embodiment of the intelligent concrete spraying curing system based on geotextile visual inspection described in this invention, the system includes: receiving control commands and executing spraying operations through adjustable equipment, comprising:

[0023] The adjustable device includes a water sprayer, a high-pressure air tank, a water tank, a compressor, a water pump, and a valve assembly;

[0024] The compressor replenishes the high-pressure gas tank and the water pump replenishes the water tank to maintain a stable water supply pressure. The pressure sensor monitors the pressure inside the tank in real time and feeds back the data.

[0025] After receiving the control command, the water spraying execution subsystem controls the valve group to open and close, connects the water supply pipe of the water sprayer matching the sub-area to be maintained, and controls the two-dimensional rotating gimbal and pitch gimbal of the water sprayer to adjust the nozzle angle according to the gimbal rotation angle and pitch angle in the command.

[0026] In continuous spray mode, the servo motor drives the butterfly valve to open continuously, and continuous spraying is performed according to the effective spraying time; in point spray mode, the butterfly valve is controlled to open and close intermittently according to the spraying frequency and valve duty cycle in the command to complete point spraying.

[0027] When the visual monitoring subsystem malfunctions or the lighting conditions do not meet the imaging requirements, it automatically switches to offline mode and controls the adjustable equipment to perform indiscriminate water spraying on the entire area of ​​the geotextile on the concrete surface through manually preset curing flow rate and frequency.

[0028] As a preferred embodiment of the intelligent concrete spraying curing system based on geotextile visual inspection described in this invention, the following steps are taken: after the spraying operation is executed, the moisture content is re-measured and evaluated by the visual monitoring subsystem and the image recognition subsystem. Based on the evaluation results, the control commands are optimized, including:

[0029] After the water spraying operation is performed, the closed-loop evaluation subsystem triggers the visual monitoring subsystem to re-collect geotextile image data of the sub-area to be cured, and the image recognition subsystem generates re-measured moisture content distribution data.

[0030] Compare the retested moisture content with the moisture content corresponding to the maximum water absorption of the geotextile. If the retested moisture content does not meet the target, it is determined that additional water spraying is required. The linkage control decision subsystem adjusts the spraying parameters and generates a secondary spraying control command.

[0031] By obtaining the moisture content difference diagram before and after spraying, the offset vector between the actual landing point centroid and the planned landing point is obtained. This offset vector is used to correct the gimbal rotation and pitch angle of the sprayer during the next spraying. If the offset occurs repeatedly, wind field estimation or equipment mechanical calibration is triggered.

[0032] Based on the deviation between the remeasured moisture content and the inversion curve, the correction parameters of the moisture content-reflectivity curve or moisture content-brightness curve in the image recognition subsystem are adjusted to generate closed-loop optimized control commands.

[0033] As a preferred embodiment of the intelligent water spraying curing system for concrete based on geotextile visual inspection described in this invention, the system includes: acquiring image data of the geotextile covering the concrete surface, including:

[0034] Position the data acquisition equipment at a distance opposite, on top of, or to the side of the concrete structure;

[0035] A reference plate is set on top of the concrete structure. The reference plate is a standard reflectivity plate or a black, white and gray three-color splicing plate, and the reference plate includes a small area of ​​completely dry geotextile. When acquiring images, the reference plate and the geotextile on the concrete surface are imaged together.

[0036] Secondly, the present invention provides a method for a concrete intelligent spray curing system based on geotextile visual inspection, comprising,

[0037] Collect image data of geotextile covering the concrete surface;

[0038] The image data is preprocessed to generate moisture content distribution data;

[0039] Based on the moisture content distribution data, the panel sub-regions are divided according to the coverage of the water sprayers, the maintenance areas with moisture content below the threshold are identified, the corresponding water sprayers are matched, and control commands are generated.

[0040] Based on the control commands, a water spraying operation is performed through an adjustable device; after the water spraying operation is performed, the moisture content is retested for evaluation, and the control commands are optimized based on the evaluation results.

[0041] Thirdly, the present invention provides a computing device, comprising:

[0042] Memory and processor;

[0043] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of the intelligent concrete spraying curing system based on geotextile visual inspection.

[0044] Fourthly, the present invention provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the intelligent concrete spraying curing system based on geotextile visual inspection.

[0045] Compared with existing technologies, the beneficial effects of this invention are as follows: By constructing an integrated intelligent system encompassing visual monitoring, image recognition, control decision-making, water spraying execution, and closed-loop evaluation, this invention can accurately acquire geotextile images of concrete surfaces and invert the overall moisture content. Combined with sub-region division and dynamic water spraying parameter calculation, it achieves on-demand water supply, significantly reducing water waste and manpower input. Simultaneously, by utilizing reference plate calibration, illumination zoning compensation, and wind field deviation correction, it improves the accuracy of moisture content measurement and water spraying control in complex environments, ensuring curing uniformity and effectively reducing the risk of early-stage concrete cracking. Furthermore, the system supports an offline fault-tolerant mode, maintaining curing operations even in the event of visual failures, thereby enhancing the stability, reliability, and intelligence level of large-scale concrete structure curing. Attached Figure Description

[0046] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 This is a schematic diagram of a concrete intelligent spray curing system based on geotextile visual inspection according to an embodiment of the present invention.

[0048] Figure 2 This is a schematic diagram showing the change in moisture content during the curing period of a sub-area of ​​the intelligent concrete spraying curing system based on geotextile visual detection, as described in an embodiment of the present invention.

[0049] Figure 3This is a schematic diagram of the hardware equipment of a concrete intelligent spray water curing system based on geotextile visual inspection according to an embodiment of the present invention.

[0050] Figure 4 This is a schematic diagram of the water spraying execution subsystem of a concrete intelligent water spraying curing system based on geotextile visual inspection, according to an embodiment of the present invention.

[0051] Figure 5 This is a schematic diagram of a water sprayer for a concrete intelligent water spraying curing system based on geotextile visual inspection, according to an embodiment of the present invention. Detailed Implementation

[0052] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0053] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0054] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0055] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0056] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the system or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0057] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0058] Example 1

[0059] Reference Figures 1-2 As one embodiment of the present invention, a concrete intelligent water spraying curing system based on geotextile visual inspection is provided, comprising:

[0060] The visual monitoring subsystem is used to acquire image data of geotextile covering the concrete surface;

[0061] The image recognition subsystem is used to preprocess image data and generate moisture content distribution data;

[0062] The control decision subsystem is used to receive moisture content distribution data, divide the panel into sub-regions according to the coverage of the sprinklers, identify the maintenance areas with moisture content below the threshold, match the corresponding sprinklers, and generate control commands.

[0063] The water spraying execution subsystem is used to receive control commands and execute water spraying operations through adjustable devices;

[0064] The closed-loop evaluation subsystem is used to evaluate the water content after the water spraying operation is executed by re-measuring the moisture content through the visual monitoring subsystem and the image recognition subsystem, and to optimize the control commands based on the evaluation results.

[0065] Preferably, image data of geotextile covering the concrete surface is acquired, including:

[0066] Position the data acquisition equipment at a distance opposite, on top of, or to the side of the concrete structure;

[0067] A reference plate is set on top of the concrete structure. The reference plate is a standard reflectivity plate or a black, white and gray three-color splicing plate, and the reference plate includes a small area of ​​completely dry geotextile. When acquiring images, the reference plate and the geotextile on the concrete surface are imaged together.

[0068] In this embodiment, the camera is positioned opposite, on top of, or to the side of the dam, with a telephoto camera positioned at a distance from the opposite side being optimal. If positioned on the top or side of the dam, a wide-angle lens is required, and distortion correction is necessary during analysis to restore the original shape of the dam. The camera must be an industrial-grade NIR (near-infrared) camera or a visible light RGB camera. The NIR camera primarily captures the electromagnetic absorption peaks of moisture within the geotextile at 970, 1200, 1450, and 1940 nm, offering precise measurements and minimal interference. The RGB camera primarily captures the brightness of the geotextile, which is significantly affected by the geotextile material, weaving process, and ambient lighting, but is very low-cost. A reference board is placed on the top of the dam, forming an image along with the board surface during shooting. For the NIR camera, a standard reflectivity board (multiple reflectivity sub-boards can be spliced ​​together) is used; for the RGB camera, a three-color splicing board of white, black, and 18% neutral gray should be used. If necessary, a small sample area of ​​completely dry geotextile soil can be attached to the reference board.

[0069] Preferably, the image data is preprocessed to generate moisture content distribution data, including:

[0070] Geometric correction is performed on the image data of geotextile covering the concrete surface, then strong light or shadow areas in the image are identified, independent exposure or gain compensation is performed on the partitions, and grayscale and brightness transition processing is performed at the edge of the partition.

[0071] Based on the moisture content-reflectance curve or moisture content-brightness curve, the pixel information of the geometrically corrected image is inverted to the moisture content of the geotextile, generating global moisture content distribution data.

[0072] In this embodiment, geometric correction is first performed to correct radial distortion in wide-angle images and eliminate vignetting. Local strong light or shadow areas are identified by grayscale and brightness gradients and connected component segmentation. Independent exposure or gain compensation is performed within each segment, and grayscale and brightness transitions are made at the boundary edges to avoid linear brightness abrupt changes interfering with water content inversion.

[0073] In this embodiment of the application, after geometric correction, calibration using a reference plate includes:

[0074] (1) For NIR cameras, the dam crest reference plate is a standard reflector. For the imaging area of ​​the reference plate, the nominal reflectivity R of the standard reflector is used. sta Calibrate reflectivity and image grayscale G mea Linear relationship:

[0075] R sta =pG mea +q

[0076] Where p and q represent the fitting parameters.

[0077] To improve the dynamic range of a camera, gamma compression can be used. However, the relationship between reflectivity and grayscale is no longer linear. It's necessary to further use multiple reflectivity panels to calibrate the polynomial relationship between reflectivity and image grayscale. For example, to perform m-fold fitting on n panels, the first step is to... Then, the least squares method is used to obtain the fitting coefficient vector r, which is used for image correction.

[0078]

[0079] After obtaining the fitting parameters p, q, or r, the grayscale information of the remaining pixels in the image is calculated to obtain the reflectance R of the whole image after correction, which is either a single peak (e.g., 970nm) or a multi-peak weighted (e.g., the average of the peaks at 970, 1200, and 1450nm). mea .

[0080] (2) For RGB cameras, the RGB channels are converted to the CIELAB color space. Brightness, hue, and color temperature—a total of nine parameters—are obtained from the imaging area of ​​each stitching reference board. This includes the placement of white, black, and 18% neutral gray stitching panels on the top of the dam. Each sub-board has a set of parameters, expressed as follows:

[0081]

[0082] Where 'i' represents the color of the splicing reference board, 0 for black, 1 for gray, and 2 for white. A standard reference board is used. and Perform white balance correction on the entire photo, adjusting the reference panel. and The value is corrected to 0. Then, using the corrected image, the brightness is measured at any point on the panel surface. Perform brightness correction:

[0083]

[0084] in, and This indicates the brightness of the black panel and the brightness of the white panel.

[0085] In this embodiment, the current moisture content is obtained by comparing the moisture content-reflectance (NIR camera) or moisture content-brightness (RGB camera) curves obtained from prior experiments on each pixel in the panel area, and is expressed as follows:

[0086] w = f NIR (R mea For NIR cameras

[0087] For RGB cameras

[0088] For RGB cameras, due to variations in ambient light and equipment, as well as the instability of geotextile materials and weaving processes, the accuracy of the absolute moisture content value is not robust, but the trend is stable. Therefore, it is necessary to correct the absolute moisture content value while preserving curve information. For comparisons before and after a curing cycle, if the moisture content hardly changes, the geotextile is considered to have fully absorbed water, and the brightness at this point is recorded as _____. Simultaneously, the brightness of the dry geotextile sample area on the reference board was directly read and recorded as follows. Finally, the moisture content-lightness curve is corrected according to the following formula.

[0089]

[0090] The panel's brightness was reconverted to water content using the corrected curve.

[0091] Preferably, the panel receives moisture content distribution data, divides the panel into sub-regions according to the coverage area of ​​the sprinklers, identifies areas requiring maintenance with moisture content below a threshold, matches the corresponding sprinklers, and generates control commands, including:

[0092] Based on the area of ​​the water jet from the water sprayer spread on the geotextile on the concrete surface, panel sub-areas larger than the spread area are divided. The moisture content of each sub-area is compared with the lower limit threshold of geotextile moisture content. Sub-areas with moisture content lower than the threshold are marked as sub-areas to be cured.

[0093] Based on the effective spray range of the sprinkler, the sprinkler with a height higher than the sub-area to be maintained is selected for matching, and the spray parameters are calculated and obtained according to different spray modes to generate spray control commands.

[0094] Among them, the process of calculating and obtaining water spray parameters based on different water spray modes to generate water spray control commands includes:

[0095] If it is a continuous water spraying mode, first combine the current water supply pressure, solve the energy equation, dynamic equation and motion equation simultaneously, and calculate the gimbal rotation angle and pitch angle of the matching water sprayer; then calculate the required water supply based on the area of ​​the sub-area to be cured, the maximum water absorption per unit area of ​​geotextile and the current moisture content of the sub-area; combine the water sprayer outlet cross-sectional area and the initial velocity of the water flow to determine the effective spraying time; integrate the rotation angle, pitch angle and spraying time as continuous spraying parameters and generate continuous spraying control commands.

[0096] If it is a point spray mode, based on the calculation of the gimbal rotation angle, pitch angle and effective spray duration in the continuous spray mode, the spray frequency and valve duty cycle are further determined according to the water demand uniformity requirements of the sub-area to be maintained, so that the total spray volume matches the required water supply. The rotation angle, pitch angle, spray frequency and valve duty cycle are integrated as point spray parameters to generate point spray control commands.

[0097] In this embodiment, the sub-region should not be too small; otherwise, the sprinkler system will become error-sensitive, susceptible to wind disturbance, and the analysis speed of the industrial control computer will decrease. Furthermore, excessively increasing the execution frequency of the sprinkler system will accelerate the aging of the sprinkler equipment. The sub-region should not be too large; otherwise, the uniformity of the sprinkler will be reduced, and internal partitions (such as shadow boundaries, geotextile wrinkles, and dust) will introduce significant errors in the water supply calculation. The sub-region area {Ω} should be slightly larger than the area of ​​the water jet landing on the panel surface, based on the spread of the water jet from the sprinkler. i}

[0098] In this embodiment of the application, the upper limit of water supply for each sub-region is calculated and expressed as:

[0099] Q i,max =|Ω i |·W max

[0100] W max This is the maximum water absorption capacity per unit area of ​​geotextile. The maximum water absorption capacity per unit area of ​​geotextile can be pre-calibrated through a simple test: Place a piece of geotextile in a basin of water and fully submerge it to absorb water. Then lift and unfold it, allowing the water to drip back into the basin naturally. After the water droplets have fully dripped, measure the mass difference of the basin before and after the geotextile absorbs water. Convert this to volume difference and divide it by the area of ​​the geotextile to obtain the maximum water absorption capacity per unit area of ​​the geotextile.

[0101] Set the lower limit threshold for moisture content w min Moisture content lower limit threshold w min It can be set to 80% for reference, if w i <w min Then mark Ω i This is a sub-area awaiting maintenance. For example... Figure 2 The diagram shows the change in moisture content during the curing period of a specific sub-area. Sprinklers are assigned to each sub-area to be cured. The allocation principle should be determined based on the effective spray range of the sprinkler, prioritizing sprinklers with a height higher than the sub-area to reduce water pressure requirements and energy consumption.

[0102] In this embodiment, the gimbal rotation angle α and pitch angle θ of each water jet are calculated based on the current water pressure p. Assuming the water jet is located at (x0, y0, z0), the water jet landing point is (x, y, z), ρ is the density of water, and g is the acceleration due to gravity, the energy equation, dynamic equation, and motion equation are solved simultaneously:

[0103]

[0104] V| t＝0 =|v0|

[0105] dv / dt=k|v|vg

[0106]

[0107] k is the drag coefficient. The initial velocity v0 can be calculated as v0 = (v0 / v0)2. 0x ,v 0y ,v 0z Then we have:

[0108]

[0109] It should be noted that, depending on the specific local climate conditions, a fine-tuning term for the online wind field estimation can be introduced.

[0110] In this embodiment, the moisture content of the sub-area to be maintained is maximized. Considering that the water sprayer can use continuous spraying or spot spraying, the water supply needs to be controlled by controlling the effective spraying duration. If the nozzle outlet cross-sectional area is A, then the effective spraying duration is:

[0111] t = W max ·Ω i ·(1-w i ) / (|v0|A)

[0112] Among them, W max This indicates the upper limit threshold for moisture content.

[0113] Preferably, receiving control commands and performing water spraying operations via adjustable devices includes:

[0114] Adjustable equipment includes water sprayers, high-pressure air tanks, water tanks, compressors, water pumps, and valve assemblies;

[0115] The compressor replenishes the high-pressure gas tank and the water pump replenishes the water tank to maintain a stable water supply pressure. The pressure sensor monitors the pressure inside the tank in real time and feeds back the data.

[0116] After receiving the control command, the water spraying execution subsystem controls the valve group to open and close, connects the water supply pipe of the water sprayer matching the sub-area to be maintained, and controls the two-dimensional rotating gimbal and pitch gimbal of the water sprayer to adjust the nozzle angle according to the gimbal rotation angle and pitch angle in the command.

[0117] In continuous spray mode, the servo motor drives the butterfly valve to open continuously, and continuous spraying is performed according to the effective spraying time; in point spray mode, the butterfly valve is controlled to open and close intermittently according to the spraying frequency and valve duty cycle in the command to complete point spraying.

[0118] When the visual monitoring subsystem malfunctions or the lighting conditions do not meet the imaging requirements, it automatically switches to offline mode and controls the adjustable equipment to perform indiscriminate water spraying on the entire area of ​​the geotextile on the concrete surface through manually preset curing flow rate and frequency.

[0119] In this embodiment, the water spraying subsystem should have an offline maintenance function, meaning that when the control decision system malfunctions or has a large error, the water spraying system can spray water indiscriminately over its entire coverage area. This is applicable to equipment troubleshooting and initial panel maintenance, as well as in complete darkness when the camera is not working.

[0120] Preferably, after the water spraying operation is performed, the moisture content is re-measured and evaluated using a visual monitoring subsystem and an image recognition subsystem. Based on the evaluation results, the control commands are optimized, including:

[0121] After the water spraying operation is performed, the closed-loop evaluation subsystem triggers the visual monitoring subsystem to re-collect geotextile image data of the sub-area to be cured, and the image recognition subsystem generates re-measured moisture content distribution data.

[0122] Compare the retested moisture content with the moisture content corresponding to the maximum water absorption of the geotextile. If the retested moisture content does not meet the target, it is determined that additional water spraying is required. The linkage control decision subsystem adjusts the spraying parameters and generates a secondary spraying control command.

[0123] By obtaining the moisture content difference diagram before and after spraying, the offset vector between the actual landing point centroid and the planned landing point is obtained. This offset vector is used to correct the gimbal rotation and pitch angle of the sprayer during the next spraying. If the offset occurs repeatedly, wind field estimation or equipment mechanical calibration is triggered.

[0124] Based on the deviation between the remeasured moisture content and the inversion curve, the correction parameters of the moisture content-reflectivity curve or moisture content-brightness curve in the image recognition subsystem are adjusted to generate closed-loop optimized control commands.

[0125] It should be noted that this invention, through a closed-loop control system of visual perception, intelligent decision-making, and automatic execution, can accurately identify areas requiring water spraying and supply water as needed, avoiding the waste of water resources and manpower associated with full-coverage spraying. Compared to traditional timed and quantitative spraying, this system can adjust the curing plan based on real-time moisture content data, ensuring consistent curing of the concrete panel surface and reducing quality problems caused by early temperature cracks and uneven drying. Employing technologies such as image local illumination zoning, brightness compensation, and reference board white balance correction, the system maintains strong operational stability and reliable results even in non-ideal environments such as strong light and shadow. When the image system malfunctions or lighting conditions are extremely poor, the system can automatically switch to offline mode for fault-tolerant spraying of the entire surface, ensuring uninterrupted curing and improving system reliability.

[0126] This embodiment also provides a computing device applicable to intelligent water spraying curing systems for concrete based on geotextile visual inspection, including:

[0127] The system includes a memory and a processor. The memory stores computer-executable instructions, and the processor executes these instructions to implement the intelligent water spraying curing system for concrete based on geotextile visual inspection, as proposed in the above embodiments.

[0128] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, it implements the intelligent water spraying curing system for concrete based on geotextile visual inspection as proposed in the above embodiments.

[0129] The storage medium proposed in this embodiment belongs to the same inventive concept as the intelligent water spraying curing system for concrete based on geotextile visual inspection proposed in the above embodiments. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0130] Example 2

[0131] Based on the previous embodiment, this embodiment provides a method for intelligent water spraying curing of concrete based on geotextile visual inspection, including:

[0132] Collect image data of geotextile covering the concrete surface;

[0133] Image data is preprocessed to generate moisture content distribution data;

[0134] Based on the moisture content distribution data, the panel sub-regions are divided according to the coverage of the water sprayers. Areas with moisture content below the threshold that need to be maintained are identified, and corresponding water sprayers are matched and control commands are generated.

[0135] Based on control commands, water spraying operations are performed through adjustable equipment; after the water spraying operation is performed, the moisture content is re-measured for evaluation, and the control commands are optimized based on the evaluation results.

[0136] Example 3

[0137] Reference Figures 3-5 Based on the previous two embodiments, this embodiment provides a device for a concrete intelligent spray curing system based on geotextile visual inspection, comprising:

[0138] A typical intelligent sprinkler system's overall hardware configuration includes, for example: Figure 3 As shown. For the concrete panel 2 on the surface of dam 1, an RGB camera 3 captures images, which are then transmitted to an industrial control computer 4 for analysis. The industrial control computer 4 analyzes the images and provides water spraying control decisions, which are then sent to the water spraying execution system 5. The water spraying execution system 5 controls multiple water sprayers 6 to perform water spraying for curing. At the dam crest, near panel 2, a modular reference board 7 needs to be placed, containing standard color swatches of dry geotextile, pure white, pure black, and 18% neutral gray.

[0139] A typical water spraying subsystem 5 Figure 4 As shown. Air compressor 501 and water pump 504 replenish air and water to high-pressure air tank 502 and water tank 503 respectively, jointly controlling the pressure. Simultaneously, pressure sensor 507 monitors the tank pressure in real time. Water in water tank 503 is connected to a series valve group 506 via butterfly valve 505. Butterfly valve 505 directly controls the water flow start and stop via servo motor 508, achieving intermittent point spraying. Air compressor 501, water pump 504, pressure sensor 507, servo motor 508, and series valve group 506 are all connected to signal lines to integrated control board 509, enabling data exchange and control decision execution with industrial control computer 4. The series valve group 506 can be adjusted by opening and closing internal electric combination valves to individually open the water supply pipe of a specific sprayer 6, allowing for the sequential execution of spray parameters for different sprayers.

[0140] A typical water sprayer 6 Figure 5 As shown, signal line 602 receives two-dimensional rotation angle α and pitch angle θ control commands, controlling the Z-direction gimbal 603 and X-direction gimbal 604 to adjust the nozzle 605 to the specified angle. Water flows into the nozzle 605 through flexible water pipe connector 606 and is ejected.

[0141] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0142] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A smart water spraying curing system for concrete based on geotextile visual inspection, characterized in that, include: The visual monitoring subsystem is used to acquire image data of geotextile covering the concrete surface; An image recognition subsystem is used to preprocess the image data to generate moisture content distribution data; The image data is preprocessed to generate moisture content distribution data, including: Geometric correction is performed on the image data of geotextile covering the concrete surface, then strong light or shadow areas in the image are identified, independent exposure or gain compensation is performed on the partitions, and grayscale and brightness transition processing is performed at the edge of the partition. Based on the moisture content-reflectance curve or moisture content-brightness curve, the pixel information of the geometrically corrected image is inverted to the moisture content of the geotextile, generating moisture content distribution data. The control decision subsystem is used to receive the moisture content distribution data, divide the panel into sub-regions according to the coverage of the sprinklers, identify the maintenance areas with moisture content below the threshold, match the corresponding sprinklers, and generate control commands. The water spraying execution subsystem is used to receive control commands and execute water spraying operations through adjustable devices; A closed-loop evaluation subsystem is used to evaluate the moisture content after the water spraying operation is executed by re-measuring the moisture content through the visual monitoring subsystem and the image recognition subsystem, and to optimize the control commands based on the evaluation results. This includes: After the water spraying operation is performed, the closed-loop evaluation subsystem triggers the visual monitoring subsystem to re-collect geotextile image data of the sub-area to be cured, and the image recognition subsystem generates re-measured moisture content distribution data. Compare the retested moisture content with the moisture content corresponding to the maximum water absorption of the geotextile. If the retested moisture content does not meet the target, it is determined that additional water spraying is required. The linkage control decision subsystem adjusts the spraying parameters and generates a secondary spraying control command. By obtaining the moisture content difference diagram before and after spraying, the offset vector between the actual landing point centroid and the planned landing point is obtained. This offset vector is used to correct the gimbal rotation and pitch angle of the sprayer during the next spraying. If the offset occurs repeatedly, wind field estimation or equipment mechanical calibration is triggered. Based on the deviation between the remeasured moisture content and the inversion curve, the correction parameters of the moisture content-reflectivity curve or moisture content-brightness curve in the image recognition subsystem are adjusted to generate closed-loop optimized control commands.

2. The intelligent water spraying curing system for concrete based on geotextile visual inspection as described in claim 1, characterized in that, Receive the moisture content distribution data, divide the panel into sub-regions according to the coverage area of ​​the sprinklers, identify the maintenance areas with moisture content below the threshold, match the corresponding sprinklers, and generate control commands, including: Based on the area of ​​the water jet from the water sprayer spread on the geotextile on the concrete surface, panel sub-regions larger than the spread area are divided. The moisture content of each sub-region is compared with the lower limit threshold of the geotextile moisture content. Sub-regions with moisture content lower than the threshold are marked as sub-regions to be cured. Based on the effective spray range of the sprinkler, the sprinkler with a height higher than the sub-area to be maintained is selected for matching, and the spray parameters are calculated and obtained according to different spray modes to generate spray control commands.

3. The intelligent water spraying curing system for concrete based on geotextile visual inspection as described in claim 2, characterized in that, Based on different spray patterns, spray parameters are calculated and spray control commands are generated, including: If it is a continuous water spraying mode, first combine the current water supply pressure, solve the energy equation, dynamic equation and motion equation simultaneously, and calculate the gimbal rotation angle and pitch angle of the matching water sprayer; then calculate the required water supply based on the area of ​​the sub-area to be cured, the maximum water absorption per unit area of ​​geotextile and the current moisture content of the sub-area; combine the water sprayer outlet cross-sectional area and the initial velocity of the water flow to determine the effective spraying time; integrate the rotation angle, pitch angle and spraying time as continuous spraying parameters and generate continuous spraying control commands. If it is a point spray mode, based on the calculation of the gimbal rotation angle, pitch angle and effective spray duration in the continuous spray mode, the spray frequency and valve duty cycle are further determined according to the water demand uniformity requirements of the sub-area to be maintained, so that the total spray volume matches the required water supply. The rotation angle, pitch angle, spray frequency and valve duty cycle are integrated as point spray parameters to generate point spray control commands.

4. The intelligent water spraying curing system for concrete based on geotextile visual inspection as described in claim 3, characterized in that, Receive control commands and execute water spraying operations through adjustable devices, including: The adjustable device includes a water sprayer, a high-pressure air tank, a water tank, a compressor, a water pump, and a valve assembly; The compressor replenishes the high-pressure gas tank and the water pump replenishes the water tank to maintain a stable water supply pressure. The pressure sensor monitors the pressure inside the tank in real time and feeds back the data. After receiving the control command, the water spraying execution subsystem controls the valve group to open and close, connects the water supply pipe of the water sprayer matching the sub-area to be maintained, and controls the two-dimensional rotating gimbal and pitch gimbal of the water sprayer to adjust the nozzle angle according to the gimbal rotation angle and pitch angle in the command. In continuous spray mode, the servo motor drives the butterfly valve to open continuously, and continuous spraying is performed according to the effective spraying time; in point spray mode, the butterfly valve is controlled to open and close intermittently according to the spraying frequency and valve duty cycle in the command to complete point spraying. When the visual monitoring subsystem malfunctions or the lighting conditions do not meet the imaging requirements, it automatically switches to offline mode and controls the adjustable equipment to perform indiscriminate water spraying on the entire area of ​​the geotextile on the concrete surface through manually preset curing flow rate and frequency.

5. The intelligent water spraying curing system for concrete based on geotextile visual inspection as described in claim 1, characterized in that, Image data of geotextile covering the concrete surface was collected, including: Position the data acquisition equipment at a distance opposite, on top of, or to the side of the concrete structure; A reference plate is set on top of the concrete structure. The reference plate is a standard reflectivity plate or a black, white and gray three-color splicing plate, and the reference plate includes a small area of ​​completely dry geotextile. When acquiring images, the reference plate and the geotextile on the concrete surface are imaged together.

6. A method for applying a concrete intelligent spray curing system based on geotextile visual inspection, characterized in that, include, Collect image data of geotextile covering the concrete surface; The image data is preprocessed to generate moisture content distribution data, including: Geometric correction is performed on the image data of geotextile covering the concrete surface, then strong light or shadow areas in the image are identified, independent exposure or gain compensation is performed on the partitions, and grayscale and brightness transition processing is performed at the edge of the partition. Based on the moisture content-reflectance curve or moisture content-brightness curve, the pixel information of the geometrically corrected image is inverted to the moisture content of the geotextile, generating moisture content distribution data. Based on the moisture content distribution data, the panel is divided into sub-regions according to the coverage of the sprayers, and areas with moisture content below the threshold that need maintenance are identified. The corresponding sprayers are matched and control commands are generated. Based on the control commands, the spraying operation is executed through adjustable equipment. After the water spraying operation is performed, the moisture content is retested for evaluation. Based on the evaluation results, the control instructions are optimized, including: After the water spraying operation is performed, geotextile image data of the sub-area to be cured is collected again to generate retested moisture content distribution data; Compare the retested moisture content with the moisture content corresponding to the maximum water absorption of the geotextile. If the retested moisture content does not meet the target, it is determined that additional water spraying is required, and the water spraying parameters are adjusted to generate a secondary water spraying control command. By obtaining the moisture content difference diagram before and after spraying, the offset vector between the actual landing point centroid and the planned landing point is obtained. This offset vector is used to correct the gimbal rotation and pitch angle of the sprayer during the next spraying. If the offset occurs repeatedly, wind field estimation or equipment mechanical calibration is triggered. Based on the deviation between the remeasured moisture content and the inversion curve, the correction parameters of the moisture content-reflectivity curve or the moisture content-brightness curve are adjusted to generate closed-loop optimized control commands.

7. An electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of the intelligent concrete spraying curing system based on geotextile visual inspection as described in any one of claims 1 to 5.

8. A computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the intelligent concrete spraying curing system based on geotextile visual inspection as described in any one of claims 1 to 5.

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