A method and system for controlling the use of a concrete spray curing device.

Abstract

This invention proposes a method and system for controlling the use of a concrete spray curing device. The method includes: acquiring a spraying request; controlling a spraying device located at the top of a dam slope to spray the top grid units of the dam slope according to the spraying request; wherein the dam slope is pre-divided into several grid units, and each grid unit is equipped with a corresponding spraying device; acquiring a multispectral image of the dam slope, calculating the moisture index of each cell in the multispectral image, and monitoring the position of the wetting front during the water infiltration process of the dam slope in real time based on the moisture index; dynamically adjusting the spraying strategy of the dam slope according to the position of the wetting front, and controlling the spraying device of the designated grid unit to perform the corresponding spraying operation according to the adjusted spraying strategy. This invention's dynamic adjustment of the spraying strategy can improve water resource utilization, ensure good curing effect of concrete structures, and reduce water waste.

Description

Technical Field

[0001] This invention relates to the field of intelligent spraying technology, and in particular to a method and system for controlling the use of a concrete spraying curing device. Background Technology

[0002] In the construction and maintenance of dams, the curing of concrete slopes is crucial, directly affecting the safety and durability of the structure. Traditional spray curing methods typically employ fixed time intervals and fixed water volumes. While simple and easy to implement, this method fails to consider environmental conditions (such as temperature and humidity) and the possibility of excessive moisture at the bottom of the slope due to infiltration, leading to low water resource utilization efficiency and unnecessary waste. Especially in large-scale water conservancy facilities, this extensive curing method not only increases water resource costs but may also affect the quality of concrete due to excessive or insufficient water supply. Therefore, developing an intelligent curing system capable of adjusting spray volume and frequency is particularly important, aiming to improve water resource utilization while ensuring good curing results for concrete structures. Summary of the Invention

[0003] This invention provides a method and system for controlling the use of a concrete spray curing device to solve the problems existing in related technologies. The technical solution is as follows:

[0004] In a first aspect, embodiments of the present invention provide a method for controlling the use of a concrete spray curing device, comprising:

[0005] The system receives a spraying request and controls the spraying device located at the top of the dam slope to spray the top grid unit of the dam slope according to the spraying request; wherein, the dam slope is pre-divided into several grid units evenly, and each grid unit is equipped with a corresponding spraying device.

[0006] Acquire multispectral images of the dam slope, calculate the moisture index of each cell in the multispectral image, and monitor the location of the moist front during the water infiltration process on the dam slope in real time based on the moisture index.

[0007] The spraying strategy on the dam slope is dynamically adjusted according to the location of the moist front, and the spraying device of the designated grid unit is controlled to perform the corresponding spraying operation according to the adjusted spraying strategy.

[0008] In one implementation, it further includes:

[0009] Obtain the temperature and humidity range for the day, match the dryness level for the day based on the temperature and humidity range, and determine the spraying frequency for the day based on the dryness level;

[0010] The spraying time is dynamically adjusted according to the daily spraying frequency, and a spraying request is automatically generated when any spraying time is reached.

[0011] In one implementation, it further includes:

[0012] Acquire real-time temperature and humidity data, input the real-time temperature and humidity data into the preset evaporation prediction model, and output the current evaporation risk level;

[0013] Automatically trigger the generation of a spraying request when the evaporation risk level is high;

[0014] If the evaporation risk level is medium, delay the generation of a spraying request for a specified time.

[0015] In one implementation, calculating the moisture index of each cell in a multispectral image includes:

[0016] NIR band information is extracted from multispectral images, and the surface reflectance of each cell is calculated based on the NIR band information; where a cell is composed of multiple adjacent pixels.

[0017] Temperature information is extracted from multispectral images, and the temperature gradient of each cell is determined by comparing the temperature differences between different cells.

[0018] The multispectral image is converted into an RGB color image. The color saturation of each cell is calculated based on the RGB color image. The color saturation change value is obtained by comparing the changes in color saturation between different cells.

[0019] Based on the changes in surface reflectance, temperature gradient, and color saturation, a comprehensive index is calculated by weighted summation, resulting in the moisture index for each cell.

[0020] In one implementation, real-time monitoring of the location of the moist front during the water infiltration process on the dam slope based on the moisture index includes:

[0021] The moisture index of each cell is compared with a set threshold. All consecutive pixel areas with a moisture index exceeding the set threshold are identified as moist fronts, and the location of the moist fronts is automatically tracked.

[0022] In one implementation, dynamically adjusting the spraying strategy on the dam slope based on the location of the wetting front includes:

[0023] When the moist front reaches the middle area of ​​the dam slope, the sprinkler system at the top of the slope maintains the current spray flow rate, the sprinkler system in the middle area sprays at the maximum flow rate, and the sprinkler system at the bottom area sprays at the minimum flow rate.

[0024] When the moist front reaches the bottom area of ​​the dam slope, the spraying devices controlling all grid units on the dam slope spray at the minimum flow rate.

[0025] In one implementation, dynamically adjusting the spraying strategy on the dam slope based on the location of the wetting front includes:

[0026] The spray device located at the top of the slope is controlled to maintain the current spray flow rate. The wetting ratio of each grid cell is determined according to the position of the wetting front. Grid cells with a wetting ratio less than the preset value are marked as target grid cells, and the spray device corresponding to the target grid cell is controlled to perform spraying operation.

[0027] Secondly, embodiments of the present invention provide a control system for a concrete spray curing device, comprising:

[0028] Sprinkler system: Sprinkler systems are installed on each grid unit on the dam slope;

[0029] Multispectral monitoring equipment is used to photograph the dam's slope.

[0030] The controller, connected to the spraying device and multispectral monitoring equipment, is used to execute the control method for the concrete spraying curing device as described above.

[0031] Thirdly, embodiments of the present invention provide an electronic device comprising a memory and a processor. The memory and the processor communicate with each other via an internal connection path. The memory stores instructions, and the processor executes the instructions stored in the memory. When the processor executes the instructions stored in the memory, it causes the processor to perform the method described in any of the above embodiments.

[0032] Fourthly, embodiments of the present invention provide a computer-readable storage medium that stores a computer program, wherein when the computer program is run on a computer, the methods in any of the embodiments described above are executed.

[0033] The advantages or beneficial effects of the above technical solutions include at least the following:

[0034] This invention first controls a spraying device located at the top of the dam slope to spray the top grid units of the dam slope. During the spraying process, water seeps into the top of the slope. The seepage is monitored using multispectral imaging to determine the location of the wetting front on the dam slope. The spraying strategy is dynamically adjusted according to the location of the wetting front. Compared with the traditional quantitative and timed spraying method, the dynamic adjustment of the spraying strategy in this invention can improve water resource utilization, ensure good curing effect of concrete structure, and reduce water waste.

[0035] The above overview is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the invention will become readily apparent from the accompanying drawings and the following detailed description. Attached Figure Description

[0036] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the various drawings denote the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings depict only some embodiments disclosed in the invention and should not be construed as limiting the scope of the invention.

[0037] Figure 1 This is a schematic diagram of the control method for the concrete spray curing device of the present invention.

[0038] Figure 2 This is a schematic diagram showing the distribution of the spraying device on the dam slope of the present invention;

[0039] Figure 3 This is a structural block diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0040] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of the invention. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0041] Example 1

[0042] This embodiment provides a method for controlling the use of a concrete spray curing device. It mainly controls the spraying frequency and spraying volume of the spraying device on the dam slope to achieve the concrete curing effect while reducing water waste and improving water resource utilization.

[0043] It should be noted that, as Figure 2 As shown, in this embodiment, the dam slope is pre-divided into multiple grid units of equal area, and each grid unit is equipped with its corresponding sprinkler device. The sprinkler device mainly consists of nozzles, water supply pipes, solenoid valves, and other components. The nozzles of each sprinkler device are connected through water supply pipes, and the water flow rate is controlled by controlling the on / off state and opening degree of the solenoid valves on the water supply pipes. Simultaneously, based on the dimensions of the dam slope, the area surrounding the centerline of the dam slope is designated as the central region, the area above the central region is marked as the top of the slope, and the area below the central region is marked as the bottom of the slope.

[0044] The concrete spray curing device in this embodiment uses a control method to control each spraying device to spray water onto the dam's slope, achieving the purpose of moist curing the concrete. Figure 1 As shown, the specific steps include the following:

[0045] Step S1: Obtain a spraying request, and control the spraying device located at the top of the dam slope to spray the top grid cells of the dam slope according to the spraying request.

[0046] The method for generating a spray request in this embodiment includes:

[0047] A dryness classification system is established in advance based on historical meteorological data, that is, temperature and humidity are divided into several intervals according to historical data or regional characteristics. For example, temperature can be divided into "low temperature", "moderate temperature" and "high temperature", and relative humidity can be divided into "low humidity", "moderate temperature" and "high humidity".

[0048] Based on the above ranges, different dryness levels are defined, such as "low," "medium," "high," and "extremely high." This embodiment uses prior testing and data analysis to ensure that each level accurately reflects the actual dryness of the environment.

[0049] Create a lookup table based on the defined temperature and humidity ranges and their corresponding dryness levels. For example, under high temperature and low humidity conditions, the dryness index is "extremely high"; while under moderate temperature and moderate humidity conditions, the dryness index is "moderate".

[0050] Finally, the drying level is mapped to a specific spray frequency so that the system can automatically select an appropriate spray strategy based on the temperature and humidity of the day. For example, if the drying level is "high," the spray frequency can be set to once per hour. If the drying level is "low," the spray frequency corresponds to once every 4 hours.

[0051] This embodiment obtains the daily temperature and humidity range corresponding to the geographical location of the dam, finds the matching dryness level from a lookup table based on the daily temperature and humidity range, and determines the daily spraying frequency based on the dryness level. The daily spraying time is dynamically adjusted according to the daily spraying frequency, and a spraying request is automatically generated when any spraying time is reached.

[0052] In another embodiment, the method for automatically triggering the generation of a sprinkler request may be:

[0053] Acquire real-time temperature and humidity data, input the real-time temperature and humidity data into the preset evaporation prediction model, and output the current evaporation risk level.

[0054] The evaporation prediction model is used to predict the moisture evaporation rate of concrete under the current on-site temperature and humidity conditions, and to match and output the corresponding evaporation risk level based on the moisture evaporation rate. Training the evaporation prediction model requires the prior collection of a large amount of on-site temperature and humidity data, as well as measured data on concrete evaporation rate, and the establishment of the relationship between temperature / humidity and evaporation rate using machine learning. In practical applications, real-time temperature and humidity data can be detected by on-site temperature and humidity sensors, and this data can be used as input into the trained evaporation prediction model to output the corresponding evaporation risk level prediction result.

[0055] A spraying request is generated immediately when the evaporation risk level is high; a spraying request is generated after a specified delay when the evaporation risk level is medium; and no spraying operation is performed when the evaporation risk level is low.

[0056] In this embodiment, upon receiving a spraying request, all spraying devices located at the top of the dam slope are controlled to spray at a preset default flow rate, ensuring that all grid cells distributed at the top are wetted. During the spraying process, water flows down the dam slope, or excess water flows down the dam slope when the top grid cells are completely wetted. At this time, multispectral monitoring equipment is used to photograph the dam slope to determine the location of the wetting front during the water infiltration process.

[0057] Step S2: Obtain multispectral images of the dam slope, calculate the moisture index of each cell in the multispectral image, and monitor the location of the moist front during the water infiltration process on the dam slope in real time based on the moisture index.

[0058] The multispectral monitoring device in this embodiment can be a multispectral camera or a combination of various detection devices. The multispectral camera in this embodiment can acquire images in the visible light (RGB), near-infrared (NIR), and thermal infrared (TIR) ​​bands (wavelength range 400–1400 nm).

[0059] To reduce the computational speed of image data processing, this embodiment aggregates a specified number of adjacent pixels into larger cells. The moisture index is calculated using these cells as units, which reduces the number of pixels processed individually. The number of pixels aggregated into cells can be determined in advance through experiments, improving computational speed while ensuring the accuracy of locating the moist front.

[0060] The method for calculating the moisture index in this embodiment includes:

[0061] Radiometric and atmospheric corrections are performed on the original multispectral images to eliminate the influence of sensor characteristics and atmospheric conditions on image quality. Near-infrared (NIR) band data, also known as NIR band information, is extracted from the corrected multispectral images. Using known information such as solar irradiance and observational geometric parameters, the numerical values ​​corresponding to the NIR band information are converted into surface reflectance.

[0062] Reflectivity = (π × L) / (d) 2 ×R);

[0063] Where L is the corrected radiance; d is the Earth-Sun distance (astronomical units), calculated based on the observation date; and R is the solar constant or solar irradiance, the value of which is known at a specific wavelength.

[0064] Subsequently, the multispectral image contains thermal infrared bands. The temperature information of each cell is extracted from the multispectral image. This temperature information can be the average temperature of all pixels in the cell. The temperature gradient of each cell is determined by comparing the temperature differences between different cells.

[0065] The multispectral image is converted into an RGB color image. The color saturation of each cell is calculated based on the RGB color image. The color saturation change value is obtained by comparing the changes in color saturation between adjacent cells.

[0066] Based on three different surface characteristic parameters—surface reflectance, temperature gradient, and color saturation variation—a comprehensive index is calculated through weighted summation, resulting in a moisture index for each cell. This index can be used to identify and track the frontal zone of water infiltration during sprinkler irrigation, i.e., the location of the wetting front. The moisture index formula is:

[0067] Moisture index = a × (NIR reflectance) + b × (temperature gradient) + c × (color saturation change);

[0068] Where a, b, and c are the weighting coefficients corresponding to the three surface feature parameters; in practical applications, the weight of NIR reflectance is 0.6, the weight of temperature gradient is 0.3, and the weight of color saturation change is 0.1.

[0069] Once the moisture index of all cells in a multispectral image is calculated, a moisture index distribution map (or moisture index raster map) is formed. In this map, the value of each cell is no longer the original radiance or reflectance, but represents the overall "moisture index" magnitude at that location. By setting an appropriate threshold, the multispectral image can be divided into "wet regions" and "dry regions," with the boundary between them being the location of the wet front.

[0070] Specifically, the moisture index of each cell is compared with a set threshold. Cells with a moisture index exceeding the set threshold are marked as "humid areas," and cells with a moisture index below the set threshold are marked as "dry areas." All consecutive pixel regions with a moisture index exceeding the set threshold are found. These regions represent the location of the moist front. By repeating the above steps over time, the movement trajectory of the moist front can be tracked.

[0071] Step S3: Dynamically adjust the spraying strategy of the dam slope according to the position of the wet front, and control the spraying device of the designated grid unit to perform the corresponding spraying operation according to the adjusted spraying strategy, so as to realize the opening and closing of the spraying device and the control of the spraying volume.

[0072] In this embodiment, the spraying strategy for dynamically adjusting the dam slope based on the location of the moist front includes:

[0073] The pixel range corresponding to the central region of the dam slope is determined in advance from the multispectral image. The pixel points corresponding to the location of the moist front are compared with the pixel range of the central region to determine whether the moist front has reached the central region of the dam slope.

[0074] When the moist front has not reached the central region of the dam slope, the sprinkler system at the top of the slope is adjusted from its default flow rate to its maximum flow rate. Meanwhile, the sprinkler system in the central region is activated and its flow rate is reduced from the default to the set flow rate. Simultaneously, the sprinkler system at the bottom of the slope is activated and its flow rate is reduced from the default to the minimum flow rate. The maximum flow rate > the set flow rate > the minimum flow rate. This is equivalent to adopting a "full flow at the top, reduced flow in the middle, and minimal flow at the bottom" sprinkler strategy to ensure that water can fully infiltrate to the central region.

[0075] When the moist front reaches the middle region of the dam slope, the sprinkler system at the top of the slope maintains its default flow rate or switches to minimum flow rate, while the sprinkler system in the middle region operates at maximum flow rate, and the sprinkler system at the bottom region operates at minimum flow rate. This is equivalent to switching to a "maintain / minor flow at the top, full flow in the middle, minor flow at the bottom" sprinkler strategy, strengthening the sprinkler system in the middle region and promoting further water infiltration.

[0076] When the moist front reaches the bottom area of ​​the dam slope, the spray devices of all grid units on the dam slope are controlled to spray at the minimum flow rate. The "full area micro-maintenance" spraying strategy is adopted to maintain the humidity balance of the entire area and prevent resource waste or potential risks caused by excessive spraying.

[0077] During this process, multispectral images can be collected to identify whether there are any cells on the entire dam slope that are not fully wetted. If all cells are fully wetted, the "full-area micro-wetting maintenance" spraying strategy can be maintained for a set time before stopping the spraying operation of all spraying devices and waiting for the next spraying opportunity. If some cells are still not fully wetted, the "full-area micro-wetting maintenance" spraying strategy can be maintained until all cells are fully wetted.

[0078] In other embodiments, the spraying strategy for dynamically adjusting the dam slope based on the location of the wetting front can be as follows: after controlling the spraying device located at the top of the slope to maintain the current default spraying flow rate for a set time, the wetting ratio of each grid cell outside the top of the slope is determined based on the current location of the wetting front. That is, the number of cells in each grid cell outside the top of the slope that are in a wet state is counted, the wetting area of ​​each grid cell is calculated based on the size of the cell, and the ratio between the wetting area and the total area of ​​the grid cell is calculated to determine the wetting ratio of each grid cell outside the top of the slope.

[0079] The wetting ratio of each grid cell located outside the top of the slope is compared with the preset value. Grid cells with a wetting ratio less than the preset value are marked as target grid cells, which means that most areas of the grid cell are still dry and need to be replenished with water. At this time, the sprinkler device corresponding to the target grid cell is individually controlled to start spraying until all grid cells on the dam slope are wet.

[0080] This embodiment first controls a sprinkler system located at the top of the dam slope to spray the top grid cells of the dam slope. During the spraying process, water seeps into the top of the slope. The seepage is monitored using multispectral imaging to determine the location of the wetting front on the dam slope. The spraying strategy is dynamically adjusted based on the location of the wetting front. Compared with the traditional quantitative and timed spraying method, the dynamic adjustment of the spraying strategy can improve water resource utilization, ensure good curing effect of concrete structure, and reduce water waste.

[0081] Example 2

[0082] This embodiment provides a control system for a concrete spray curing device, which is applied to the sloping surface of a dam to spray and cure the concrete on the sloping surface of the dam while reducing water waste.

[0083] Specifically, the control system used in concrete spray curing equipment includes:

[0084] Sprinkler system: Sprinkler systems are installed on each grid unit on the dam slope;

[0085] Multispectral monitoring equipment is used to photograph the dam slope to obtain multispectral images;

[0086] The controller, connected to the spraying device and the multispectral monitoring equipment, is used to execute the control method for using the concrete spraying curing device as described in Example 1.

[0087] It should be noted that the functions of each device / equipment in the system of this embodiment can be found in the corresponding description in the above method, and will not be repeated here.

[0088] Example 3

[0089] This embodiment provides an electronic device. Figure 3 A structural block diagram of an electronic device according to an embodiment of the present invention is shown. Figure 3 As shown, the electronic device includes a memory 100 and a processor 200. The memory 100 stores a computer program that can run on the processor 200. When the processor 200 executes the computer program, it implements the control method for the concrete spraying curing device in the above embodiment. The number of memories 100 and processors 200 can be one or more.

[0090] The electronic device also includes:

[0091] The communication interface 300 is used to communicate with external devices and perform data exchange and transmission.

[0092] If the memory 100, processor 200, and communication interface 300 are implemented independently, they can be interconnected via a bus to communicate with each other. This bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. This bus can be divided into address bus, data bus, control bus, etc.

[0093] Optionally, in a specific implementation, if the memory 100, processor 200, and communication interface 300 are integrated on a single chip, then the memory 100, processor 200, and communication interface 300 can communicate with each other through an internal interface.

[0094] This invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method provided in this invention.

[0095] This invention also provides a chip, which includes a processor for calling and executing instructions stored in a memory, causing a communication device on which the chip is installed to perform the method provided in this invention.

[0096] This invention also provides a chip, including: an input interface, an output interface, a processor, and a memory. The input interface, output interface, processor, and memory are connected through an internal connection path. The processor is used to execute code in the memory. When the code is executed, the processor is used to execute the method provided in this invention.

[0097] It should be understood that the aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. General-purpose processors can be microprocessors or any conventional processor. It is worth noting that the processor can be a processor supporting the Advanced Reduced Instruction Set Computing (RISC) machine (ARM) architecture.

[0098] Further, optionally, the aforementioned memory may include read-only memory and random access memory, and may also include non-volatile random access memory. The memory may be volatile or non-volatile, or may include both. Non-volatile memory may include read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory may include random access memory (RAM), which serves as an external cache. Many forms of RAM are available by way of example, but not limitation. Examples include static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous linked dynamic random access memory (SLDRAM), and direct rambus RAM (DR RAM).

[0099] In the above embodiments, implementation can be achieved, in whole or in part, by software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another.

[0100] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of those different embodiments or examples.

[0101] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0102] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various variations or substitutions within the technical scope disclosed in the present invention, and these should all be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for controlling the use of a concrete spray curing device, characterized in that, include: A spraying request is obtained, and the spraying device located at the top of the dam slope is controlled to spray the top grid unit of the dam slope according to the spraying request; wherein, the dam slope is pre-divided into several grid units evenly, and each grid unit is equipped with a corresponding spraying device. Acquire multispectral images of the dam slope, calculate the moisture index of each cell in the multispectral image, and monitor the location of the moist front during the water infiltration process on the dam slope in real time based on the moisture index. The spraying strategy for the dam slope is dynamically adjusted based on the location of the moist front, and the spraying devices of designated grid units are controlled to perform corresponding spraying operations according to the adjusted spraying strategy; wherein, the dynamic adjustment of the spraying strategy for the dam slope based on the location of the moist front includes: When the wet front reaches the middle region of the dam slope, the spraying device at the top of the slope is controlled to maintain the current spraying flow rate, the spraying device in the middle region sprays at the maximum flow rate, and the spraying device at the bottom region sprays at the minimum flow rate. When the moistening front reaches the bottom region of the dam slope, the sprinkler systems of all grid cells on the dam slope are controlled to spray at the minimum flow rate; or, The spray device located at the top of the slope is controlled to maintain the current spray flow rate. The wetting ratio of each grid unit is determined according to the position of the wetting front. Grid units with a wetting ratio less than a preset value are marked as target grid units, and the spray device corresponding to the target grid unit is controlled to perform spraying operation.

2. The method for controlling the use of the concrete spray curing device according to claim 1, characterized in that, Also includes: Obtain the temperature and humidity range for the day, match the dryness level for the day based on the temperature and humidity range, and determine the spraying frequency for the day based on the dryness level; The spraying time is dynamically adjusted according to the daily spraying frequency, and a spraying request is automatically generated when any spraying time is reached.

3. The method for controlling the use of the concrete spray curing device according to claim 1, characterized in that, Also includes: Acquire real-time temperature and humidity data, input the real-time temperature and humidity data into a preset evaporation prediction model, and output the current evaporation risk level; The generation of the spraying request is automatically triggered when the evaporation risk level is high. If the evaporation risk level is medium risk, the spraying request is generated after a specified delay.

4. The method for controlling the use of the concrete spray curing device according to claim 1, characterized in that, The calculation of the moisture index of each cell in the multispectral image includes: NIR band information is extracted from the multispectral image, and the surface reflectance of each cell is calculated based on the NIR band information; wherein, a cell is composed of multiple adjacent pixels. Temperature information is extracted from the multispectral image, and the temperature gradient of each cell is determined by comparing the temperature differences between different cells. The multispectral image is converted into an RGB color image. The color saturation of each cell is calculated based on the RGB color image. The color saturation change value is obtained by comparing the changes in color saturation between different cells. Based on the surface reflectance, temperature gradient, and color saturation change value, a comprehensive index is calculated by weighted summation to obtain the moisture index of each cell.

5. The method for controlling the use of the concrete spray curing device according to claim 4, characterized in that, The location of the moist front during the real-time monitoring of water infiltration on the dam slope based on the moisture index includes: The moisture index of each cell is compared with a set threshold. All consecutive pixel areas where the moisture index exceeds the set threshold are identified as moist fronts, and the location of the moist fronts is automatically tracked.

6. A control system for a concrete spray curing device, characterized in that, include: Sprinkler system: Sprinkler systems are installed on each grid unit on the dam slope; Multispectral monitoring equipment is used to photograph the dam's slope. The controller, connected to the spraying device and the multispectral monitoring device, is used to execute the concrete spraying curing device use control method as described in any one of claims 1 to 5.

7. An electronic device, characterized in that, include: A processor and a memory, wherein the memory stores instructions that are loaded and executed by the processor to implement the control method for using the concrete spray curing device as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the control method for using the concrete spray curing device as described in any one of claims 1 to 5.

Images