Intelligent concrete spraying maintenance system based on temperature and humidity regulation

Abstract

This invention relates to the field of concrete curing technology, specifically including an intelligent concrete spray curing system based on temperature and humidity regulation. The system includes: a curing status assessment index determination module, which determines the curing status assessment index and triggers a dynamic curing mechanism when the index exceeds the safety boundary of the corresponding curing status of the concrete pouring structure; and a zoned enhancement control module, which activates edge spraying execution units deployed in each curing section and performs refined zoned enhancement control of concrete curing through the spraying intensity gain factor of each curing section. This solves the technical problem that using a fixed-sequence or globally uniform spraying strategy in concrete spray curing leads to localized under-curing or over-wetting, making it difficult to effectively suppress early cracks. It achieves the technical effect of analyzing the concrete pouring curing status, performing differentiated calibration based on temperature and humidity deviations, dynamically allocating spraying intensity gain factors according to sections, and improving the uniformity of concrete spray curing through refined zoned enhancement control.

Description

Technical Field

[0001] This invention relates to the field of concrete curing technology, specifically to an intelligent concrete spray curing system based on temperature and humidity control. Background Technology

[0002] Concrete, as a widely used building material in modern civil engineering, has its strength development and durability performance highly dependent on early curing conditions. During the critical hardening stage of concrete pouring, if the surface moisture evaporates too quickly or the temperature gradient is too large, it is easy to cause early damage such as plastic shrinkage cracks and temperature stress cracking, which seriously affects structural safety and service life.

[0003] Currently, concrete spray curing often adopts a fixed mode of timed and fixed-intensity curing, or only uses the average temperature and humidity of a single area for global control. It is difficult to dynamically identify weak areas and achieve differentiated adjustment by zone. At the same time, the spraying strategy is out of touch with the actual curing condition, resulting in local over-wetting or under-curing, which wastes water resources and is difficult to effectively inhibit crack formation. The level of precision is seriously insufficient.

[0004] In summary, existing technologies have technical problems such as using fixed timing or globally uniform spraying strategies for concrete spray curing, resulting in a disconnect between spraying intensity adjustment and actual curing conditions, leading to local areas being under-cured or over-wetted, making it difficult to effectively suppress early cracks. Summary of the Invention

[0005] This application provides an intelligent concrete spray curing system based on temperature and humidity regulation, aiming to solve the technical problem in the existing concrete spray curing system that uses a fixed time sequence or a globally uniform spraying strategy, resulting in a disconnect between the spraying intensity adjustment and the actual curing state, leading to local areas being under-cured or over-wetted, and making it difficult to effectively suppress early cracks.

[0006] In view of the above problems, the technical solution to achieve the present application is as follows: This application provides an intelligent concrete spray curing system based on temperature and humidity regulation. The system includes: a temperature and humidity deviation determination module: based on the concrete pouring structure, it configures a dynamic curing reference trajectory using temperature and humidity monitoring data to determine the temperature and humidity deviation; a curing status evaluation index determination module: through concrete spray curing parameters, it determines a curing status evaluation index. When the curing status evaluation index exceeds the curing status safety boundary corresponding to the concrete pouring structure, a dynamic curing mechanism is triggered: driving the central curing controller to perform differentiated spray calibration based on the dynamic curing reference trajectory and the temperature and humidity deviation; a dynamic allocation module: simultaneously, it dynamically allocates the spray intensity gain factor for each curing section according to the curing status evaluation index; and a zone enhancement control module: it activates the edge spray execution units deployed in each curing section, and performs refined zone enhancement control of concrete curing through the spray intensity gain factor of each curing section.

[0007] In a possible implementation, the concrete pouring structure is divided into M uniformly distributed curing sections, and the weighted average value of temperature and humidity for each curing section is obtained; taking the geometric center of the concrete pouring structure as the reference point, and combining the spatial position of each curing section, the coordinates of the curing anomaly center are identified through moisture evaporation uniformity analysis; the difference between the coordinates of the curing anomaly center and the coordinates of the geometric center of the structure is compared to determine the curing anomaly offset vector value, and the curing status evaluation index is the modulus of the curing anomaly offset vector value.

[0008] In a possible implementation, the spray intensity gain factor is used for feedback adjustment to bring the curing status assessment index back to the curing status safety boundary corresponding to the concrete pouring structure; during the feedback adjustment process, the gain change rate of each curing section is collected, and if the gain change rate exceeds a preset safety threshold, one or more sets of spraying actions corresponding to one or more edge spraying execution units are paused.

[0009] In possible implementations, the environmental impact data is characterized to identify the dominant interference factors and activate the environmental compensation mechanism; based on the dominant interference factors, the compensation coefficient is dynamically adjusted by matching the inherent response frequency of the environmental compensation mechanism; and based on the spray intensity gain factor of each maintenance section, the temperature and humidity are coordinated and controlled in conjunction with the compensation coefficient.

[0010] In one possible implementation, the change rate of temperature and humidity control precision on the concrete surface is introduced. If the precision improvement rate within a preset time period after adjusting the compensation coefficient does not reach the expected improvement rate, a secondary interference identification command is triggered. Based on the secondary interference identification command, the secondary interference factors of the environmental impact data are determined. According to the dominant interference factors and the secondary interference factors, a zonal compensation strategy is configured.

[0011] In a possible implementation, the edge spraying execution unit integrates a PWM bidirectional water pump drive circuit; the edge spraying execution unit is configured to: receive spraying commands and compensation coefficients issued by the maintenance central controller; generate reverse evaporation suppression water flow through the PWM bidirectional water pump drive circuit based on the spraying commands and compensation coefficients; and actively counteract environmental interference using the reverse evaporation suppression water flow.

[0012] In one possible implementation, a three-dimensional spatial coordinate system is established with the geometric center of the concrete pouring structure as the origin; in the three-dimensional spatial coordinate system, the temperature and humidity monitoring data are spatially correlated and mapped to determine the temperature monitoring deviation and humidity monitoring deviation; based on the temperature monitoring deviation and humidity monitoring deviation, the dynamic curing reference trajectory is constructed.

[0013] In one possible implementation, a fuzzy PID control algorithm is used to drive the synchronous adjustment of each edge spraying execution unit; at the same time, based on the dynamic maintenance reference trajectory and the temperature and humidity deviation, the maintenance central controller determines the target spraying ratio of each edge spraying execution unit.

[0014] In one possible implementation, each edge spraying execution unit evaluates the maintenance stability level based on the variance of temperature and humidity monitoring data; the fuzzy PID control algorithm is enabled, and the maintenance central controller dynamically adjusts the fuzzy control rules based on the maintenance stability level, wherein the cumulative time of the integral term is positively correlated with the maintenance stability level.

[0015] In one possible implementation, the dominant direction of water evaporation is determined based on the local wind speed vector and the solar incidence angle. Based on the dominant direction of water evaporation, the spray angle and velocity vector of the spray water flow are dynamically adjusted by the PWM bidirectional water pump drive circuit, so that the projection component of the momentum vector of the reverse evaporation suppression water flow in the dominant direction of water evaporation is negative.

[0016] In summary, one or more technical solutions provided in this application achieve the technical effect of analyzing the curing status of concrete pouring, triggering a dynamic curing mechanism when the safety boundary is exceeded, performing differentiated calibration based on temperature and humidity deviations, dynamically allocating spraying intensity gain factors according to sections, and improving the uniformity of concrete spraying curing through refined zoning enhancement control. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0018] Figure 1 This application provides a structural schematic diagram of an intelligent concrete spray curing system based on temperature and humidity control.

[0019] Explanation of reference numerals in the attached diagram: Temperature and humidity deviation determination module M100, maintenance status assessment index determination module M200, dynamic allocation module M300, and zoned enhanced control module M400. Detailed Implementation

[0020] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0021] Example 1: The present application will be described in detail below with reference to the accompanying drawings, as follows... Figure 1 As shown in the figure, this application provides an intelligent concrete spray curing system based on temperature and humidity control, wherein the system includes: Temperature and humidity deviation determination module M100: Based on the concrete pouring structure, it determines the temperature and humidity deviation by configuring a dynamic curing reference trajectory through temperature and humidity monitoring data.

[0022] Specifically, cast-in-place concrete structures refer to concrete components or areas that have been poured but have not yet completed early hardening. Their physical state directly affects curing requirements, including hydration heat release and moisture migration. Temperature and humidity monitoring data refers to the real-time temperature and relative humidity values ​​collected by a sensor network deployed on and inside the concrete surface. The dynamic curing reference trajectory is a temperature and humidity target curve that evolves over time and is based on preset or adaptively generated ideal curing conditions. It is used to characterize the optimal temperature and humidity state that the concrete should maintain under the current environmental and structural conditions. The temperature and humidity deviation represents the difference between the measured temperature and humidity values ​​and the dynamic curing reference trajectory, and is a key input variable for control decisions.

[0023] Execution steps: Based on prior information such as the geometric characteristics, mix proportions, and environmental exposure conditions of the concrete pouring structure, combined with historical curing databases or physical models, such as the Arrhenius hydration model, an initial dynamic curing reference trajectory is generated. Data from each monitoring point is acquired in real time using distributed temperature and humidity sensors with a sampling period of 5–15 minutes, and compared point by point with the reference trajectory to calculate the temperature and humidity deviation at the current moment. This deviation not only reflects the degree of local curing deviation but also serves as the core criterion for triggering subsequent differentiated control. A basic closed-loop perception layer of perception-benchmark-deviation is constructed, enabling the system to have the ability to quantitatively assess the curing status. Preferably, this precise monitoring and calibration mechanism can effectively avoid early cracking of concrete caused by abnormal temperature and humidity, thus improving curing quality.

[0024] M200: The curing status assessment index determination module determines the curing status assessment index based on the concrete spray curing parameters. When the curing status assessment index exceeds the curing status safety boundary corresponding to the concrete pouring structure, the dynamic curing mechanism is triggered: the central controller of curing is driven to perform differentiated spraying calibration based on the dynamic curing reference trajectory and temperature and humidity deviation. M300: At the same time, the dynamic allocation module dynamically allocates the spraying intensity gain factor of each curing section according to the curing status assessment index.

[0025] Specifically, concrete spray curing parameters include adjustable execution variables such as spraying frequency, duration, water pressure, atomized particle size, and water volume per unit area; curing status assessment indicators are quantitative indicators that comprehensively reflect the overall or zoned curing balance and deviation of concrete. For example, they can be defined as the weighted root mean square value of temperature and humidity deviations at each monitoring point, or the L2 norm of the multidimensional deviation vector introduced into the curing anomaly offset vector; the curing status safety boundary is a threshold range of assessment indicators pre-set according to the concrete material characteristics, structural dimensions, and environmental conditions, used to define whether the curing status is acceptable. When the curing status assessment indicators exceed this range, it means that the current curing status may have an adverse impact on the quality of the concrete; differentiated spray calibration refers to the central controller adjusting the spraying strategy according to the direction and magnitude of temperature and humidity deviations in different sections to achieve directional compensation; the spraying intensity gain factor is a coefficient dynamically adjusted according to the curing status assessment indicators to control the spraying intensity of each curing section, enabling differentiated spraying control for different sections.

[0026] Execution steps: The real-time collected spray curing parameters are integrated with the temperature and humidity deviation to calculate the current curing status assessment index. For example, by analyzing the weighted average of temperature and humidity and the water evaporation balance of each curing section, the modulus of the abnormal curing offset vector value is determined as the assessment index. When the index exceeds the preset curing status safety boundary, it is determined to be a curing imbalance, triggering the dynamic curing mechanism.

[0027] At this point, the central control unit for curing activates a differentiated spray calibration algorithm: increasing the spray frequency and atomization intensity in high-temperature, low-humidity sections, and maintaining or reducing the spray intensity in sections with near-ideal temperature and humidity. Simultaneously, based on the spatial distribution characteristics of the evaluation indicators, it dynamically allocates the spray intensity gain factor for each curing section, shifting from a globally uniform approach to on-demand supply, ensuring that concrete receives precise curing in different sections. Preferably, it achieves refined zoning control to avoid quality problems caused by insufficient or excessive local maintenance. This dynamic adjustment mechanism can effectively improve the uniformity and quality stability of maintenance, and reduce problems such as cracks and insufficient strength caused by improper maintenance.

[0028] Zone Enhancement Control Module M400: Activates the edge spray execution units deployed in each curing section, and performs refined zone enhancement control of concrete curing through the spray intensity gain factor of each curing section.

[0029] Specifically, edge spray execution units refer to localized spraying devices deployed near each curing section of the concrete structure. They have the ability to independently receive commands and adjust flow rate and atomization parameters. They typically integrate edge computing modules to achieve low-latency response. The localized spraying device consists of intelligent atomizing nozzles, electromagnetic control valve groups, and micro water pumps. The spray intensity gain factor is used to scale the basic spray intensity, which includes the water volume and spray volume per unit time. Refined zonal enhancement control refers to achieving precise curing intervention in the spatial dimension by adjusting the spray intensity, duration, or coverage area according to the actual curing needs of each area. This allows for precise spray control of different curing sections to meet the actual curing needs of each area, ensuring the uniformity and quality stability of concrete curing, rather than traditional integrated uniform spraying.

[0030] Execution steps: The central controller sends the spray intensity gain factor corresponding to each maintenance section to the corresponding edge spray execution unit; each edge spray execution unit adjusts its local spray parameters in real time accordingly, including spray flow rate, spray time, and spray angle, thereby achieving fine-grained spray control for its respective maintenance section. At the same time, the edge spray execution units of each maintenance section can perform secondary fine-tuning based on local micro-environment data to ensure stable spraying effect. The entire process relies on the edge-cloud collaborative architecture, dynamically adjusting the spray intensity to ensure that each maintenance section obtains the most suitable maintenance conditions for its current state, avoiding quality problems caused by insufficient or excessive local maintenance.

[0031] Preferably, the edge spraying execution unit can accurately spray each section, ensuring the uniformity of curing of the entire concrete structure, completing the closed loop from decision-making to execution, realizing the key terminal link of the structure adaptation-state linkage-zoned precise curing system, and significantly improving resource utilization efficiency and crack prevention capabilities.

[0032] Furthermore, by using concrete spray curing parameters, a curing status assessment index is determined. The curing status assessment index determination module M200 is also used to perform the following method: The concrete pouring structure is divided into M uniformly distributed curing sections, and the weighted average value of temperature and humidity for each curing section is obtained. Taking the geometric center of the concrete pouring structure as the reference point, and combining the spatial position of each curing section, the coordinates of the curing anomaly center are identified through moisture evaporation uniformity analysis. The difference between the coordinates of the curing anomaly center and the coordinates of the geometric center of the structure is compared to determine the curing anomaly offset vector value. The curing status evaluation index is the modulus of the curing anomaly offset vector value.

[0033] Specifically, the M uniformly distributed curing sections refer to dividing the concrete cast structure into M spatially continuous sub-regions with similar areas using a rectangular grid on a plane or curved surface, facilitating zoned monitoring and control; the weighted average temperature and humidity value refers to the comprehensive value calculated by assigning different weights to the temperature and humidity data collected by multiple sensors within each curing section based on their spatial representativeness or sensor confidence level, used to reflect the overall temperature and humidity status of each curing section; the moisture evaporation uniformity analysis is a physical model-based or data-driven method used to assess the consistency of moisture loss rates in different areas, thereby identifying areas with concentrated evaporation anomalies; the curing anomaly center coordinates refer to the coordinates of the center location of the curing anomaly area determined by analyzing the moisture evaporation uniformity; the curing anomaly offset vector value is the vector pointing from the geometric center of the structure to the center of the anomaly, and its magnitude is the Euclidean length of the vector, serving as a scalar indicator to quantify the overall curing non-uniformity, constituting the curing status assessment index.

[0034] Execution steps: Divide a 20m×10m concrete slab structure into M=20 1m×5m curing sections; deploy 3-5 temperature and humidity sensors in each section, collect data, and weight the data according to the sensor's distance from the surface and signal stability to obtain the weighted average temperature and humidity of each section; using the geometric center of the concrete pouring structure as the reference point, and combining the spatial location of each curing section, identify the coordinates of the curing anomaly center through moisture evaporation uniformity analysis. Specifically, analyze the moisture evaporation rate and temperature and humidity distribution in each area, identify areas with abnormal evaporation rates or large temperature and humidity deviations, and determine their center coordinates; compare the difference between the curing anomaly center coordinates and the geometric center coordinates of the structure to determine the curing anomaly offset vector value, and use its magnitude as the curing status assessment index.

[0035] Furthermore, when the magnitude of the abnormal offset vector value exceeds the preset safety boundary, it is determined that the maintenance is seriously uneven. At this time, the system can trigger a dynamic maintenance mechanism to perform targeted spray calibration on the abnormal area, thereby effectively avoiding cracks and other quality problems caused by insufficient local maintenance. Preferably, multi-point discrete data are fused into spatial vector indicators, which significantly improves the physical interpretability of the assessment and realizes a leap from point perception to global state quantification.

[0036] Furthermore, the dynamic allocation module M300 dynamically allocates the spray intensity gain factor for each maintenance section based on the maintenance status assessment index, and is also used to perform the following method: The spray intensity gain factor is used for feedback adjustment to bring the curing status assessment index back to the curing status safety boundary corresponding to the concrete pouring structure. During the feedback adjustment process, the gain change rate of each curing section is collected. If the gain change rate exceeds the preset safety threshold, one or more sets of spraying actions corresponding to one or more edge spraying execution units are paused.

[0037] Specifically, feedback adjustment refers to dynamically adjusting the spray intensity gain factor of each maintenance section based on the deviation between the current maintenance status assessment index and the safety boundary, and then using the adjusted effect to update the assessment index, forming a closed-loop control; the gain change rate refers to the change amplitude of the spray intensity gain factor of a certain maintenance section per unit time, such as ΔG / Δt, unit: s. -1 This reflects the intensity of system regulation; the preset safety threshold is the upper limit of the gain factor change rate set according to the concrete surface's erosion resistance, water penetration rate, and structural sensitivity, used to prevent local water accumulation, erosion, or thermal shock caused by sudden changes in spray intensity; pausing one or more sets of spray actions corresponding to one or more edge spray execution units means temporarily cutting off the command output of the corresponding edge spray execution unit when abnormal rapid adjustment is detected, to avoid secondary damage caused by the maintenance intervention itself.

[0038] Execution steps: After the dynamic maintenance mechanism is triggered, the changing trend of the maintenance status assessment index is continuously monitored. If the magnitude of the abnormal deviation vector value of maintenance exceeds the preset safety boundary, the controller gradually increases the gain factor of the high deviation section according to the optimization algorithm, while reducing the gain of the low demand section. The maintenance status assessment index is recalculated in each adjustment cycle until it falls back to the preset safety boundary.

[0039] During this process, the system synchronously records the time derivative of each gain factor, for example, with a preset safety threshold of 0.08s. -1 If the gain in the first maintenance section increases sharply from 1.0 to 1.8 within 30 seconds, then the rate of change of gain is (0.8) / 30s. -1<0.08s -1 If the second maintenance section experiences a misjudgment and the velocity jumps from 0.8 to 1.9 within 10 seconds, the rate reaches 0.11 seconds. -1 >0.08s -1 Immediately pause the edge spraying execution unit corresponding to the second curing section and enter steady-state observation mode. Resume operation only after the environmental data stabilizes. Preferably, introduce gain change rate monitoring to reduce the risk of surface spalling caused by sudden spraying changes, while avoiding oscillation adjustment caused by overcorrection. This ensures the stability and safety of the spraying adjustment process, avoids curing problems caused by excessively rapid or excessive spraying intensity adjustment, and improves the uniformity and quality stability of concrete curing.

[0040] Furthermore, refined zonal enhancement control of concrete curing is achieved through the spraying intensity gain factor of each curing section. The zonal enhancement control module M400 is used to execute the following methods: The environmental impact data is characterized to identify the dominant disturbance factors and activate the environmental compensation mechanism. Based on the dominant disturbance factors, the compensation coefficient is dynamically adjusted by matching the inherent response frequency of the environmental compensation mechanism. Based on the spray intensity gain factor of each maintenance section, the temperature and humidity are coordinated and regulated in combination with the compensation coefficient.

[0041] Specifically, environmental impact data refers to various parameters related to the concrete curing environment, including wind speed, solar radiation intensity, atmospheric temperature, relative humidity, and rainfall probability. These data affect the evaporation of moisture and temperature changes on the concrete surface. Feature analysis refers to using principal component analysis (PCA) and random forest feature importance ranking to reduce the dimensionality of the above multidimensional environmental variables and identify key factors. Dominant disturbance factors are environmental variables that play a decisive role in the evaporation of moisture or temperature changes on the concrete surface during the current period, such as solar radiation under high temperature and strong sunlight, or convective evaporation under strong wind conditions.

[0042] The environmental compensation mechanism is a library of control strategies to cope with specific environmental disturbances, containing response logic corresponding to different types of disturbances. The inherent response frequency refers to the optimal adjustment rhythm shown by the environmental compensation mechanism in historical data or simulations, such as adjusting the spray every 2 minutes to match the solar radiation cycle. The compensation coefficient refers to a parameter that is dynamically adjusted according to the dominant disturbance factor, used to adjust the spray intensity or other maintenance parameters to compensate for the impact of environmental disturbances. The coordinated control of temperature and humidity emphasizes the integration of the spray intensity gain factor and the compensation coefficient to achieve coupled control of temperature and humidity, rather than independent adjustment of a single variable, in order to achieve the best maintenance effect.

[0043] Execution steps: Real-time acquisition of environmental sensor data; calculation of the contribution of each factor to the water evaporation rate through an online feature analysis module. For example, using the Penman-Monteith evaporation model, it is found that solar radiation contributes 58% and wind speed 27%, thus determining solar radiation as the dominant interference factor. Then, a matching environmental compensation mechanism is activated. This mechanism has been calibrated in historical operation to update the compensation coefficient every 90 seconds, dynamically adjusting the coefficient accordingly. For example, if the solar radiation intensity ranges from 300W / m² to 800W / m², and the measured radiation intensity exceeds the threshold of 800W / m², the compensation coefficient is increased; if cloud cover causes a sudden drop in radiation, the coefficient is adjusted back. Subsequently, this compensation coefficient is multiplied by the original spray intensity gain factor for each maintenance section (original gain × compensation coefficient) to generate the final execution command, driving the edge spray units to synchronously increase atomization density and spray frequency to suppress surface shrinkage caused by accelerated evaporation at high temperatures.

[0044] Furthermore, by dynamically adjusting the compensation coefficient based on the inherent response frequency of the environmental compensation mechanism, the zoning enhancement control module M400 is also used to perform the following methods: The change rate of temperature and humidity control accuracy on concrete surfaces is introduced. If the accuracy improvement rate within a preset time period after adjusting the compensation coefficient does not reach the expected improvement rate, a secondary interference identification command is triggered. Based on the secondary interference identification command, the secondary interference factors of environmental impact data are determined. According to the dominant interference factors and secondary interference factors, a zonal compensation strategy is configured.

[0045] Specifically, the rate of change in the temperature and humidity control accuracy of concrete surfaces refers to the rate at which the deviation between the actual temperature and humidity of the concrete surface and the dynamic curing reference trajectory decreases per unit time after environmental compensation is implemented, used to quantify the effectiveness of the control response; the preset time period refers to the time interval set by the system to evaluate the change in control accuracy; the expected improvement rate refers to the minimum improvement rate that the temperature and humidity control accuracy should achieve as preset by the system, used to determine whether the control is effective; the secondary interference identification instruction is a further analysis instruction triggered when the main compensation mechanism is insufficient, used to initiate a re-analysis of environmental variables that are not dominant but may have a cumulative impact; secondary interference factors refer to other environmental factors that affect the curing status besides the dominant interference factors, such as microclimate differences caused by local shading and nighttime radiative cooling; the zonal compensation strategy is a composite compensation scheme customized for different curing sections by combining the spatial distribution characteristics of dominant and secondary interferences, in order to optimize the overall curing effect, including differentiated compensation coefficients, phase delay adjustment, or spray mode switching.

[0046] Execution steps: After adjusting the compensation coefficient, continuously monitor the convergence of temperature and humidity deviation within a preset time period. For example, if the initial temperature deviation is +6.2℃, and it only drops to +4.8℃ after 5 minutes, the accuracy improvement rate is (6.2−4.8) / 5=0.28℃ / min, which is lower than the expected improvement rate of 0.35℃ / min. The system then determines that the main compensation mechanism is ineffective and triggers a secondary interference identification command.

[0047] Subsequently, the high-dimensional environmental data backtracking module was invoked to perform correlation analysis on secondary variables such as wind speed fluctuation spectrum, near-surface humidity gradient, and cloud transmittance changes. It was found that the sudden increase in low-altitude gusts caused the spray to be blown away, which was a key secondary interference factor that suppressed the improvement of accuracy. Based on this, the system constructed a zonal compensation strategy that integrates the dominant interference factors and secondary interference factors: in the windward and sun-exposed sections, not only is a high compensation coefficient maintained, but the spray mode is also switched to high-frequency short pulse + fine atomization to enhance adhesion; in the leeward sections, the compensation coefficient is appropriately reduced and the duration of a single spray is extended. Specifically, the dominant interference factor includes solar radiation, and the secondary interference factor includes gusts.

[0048] Preferably, by employing multi-level interference identification and zoning compensation strategies, the adaptability and accuracy of the curing system are further improved. By introducing temperature and humidity control precision change rate and secondary interference identification mechanisms, the adaptive capability and control resilience in unsteady environments are significantly enhanced, comprehensively addressing complex environmental changes and ensuring the uniformity and quality stability of concrete curing.

[0049] Furthermore, the intelligent concrete spray curing system based on temperature and humidity control is used to perform the following method: The edge spraying execution unit integrates a PWM bidirectional water pump drive circuit; the edge spraying execution unit is configured to: receive spraying commands and compensation coefficients issued by the maintenance central controller; generate reverse evaporation suppression water flow through the PWM bidirectional water pump drive circuit based on the spraying commands and compensation coefficients; and actively counteract environmental interference using the reverse evaporation suppression water flow.

[0050] Specifically, the PWM (Pulse Width Modulation) bidirectional water pump drive circuit is a reversible water pump drive module controlled by pulse width modulation technology. It can precisely control the water flow direction, water flow intensity, flow rate, and pressure by adjusting the duty cycle. The spray command and compensation coefficient are composite control parameters issued by the central controller, including the basic spray intensity, duration, and environmental compensation gain. The reverse evaporation suppression water flow does not mean reverse flow, but rather refers to an enhanced spray water flow that actively counteracts the environmental evaporation effect through the PWM bidirectional water pump drive circuit. It compensates for the rapid loss of moisture caused by high temperature, strong wind, etc., by increasing the local water film coverage, extending the residence time, or forming a micro-environment humidity barrier, thus having the function of reverse compensation for evaporation loss. Actively offsetting environmental interference emphasizes that this water flow is not passive water replenishment, but a directional, quantitative, and timely intervention behavior based on interference prediction and real-time feedback.

[0051] Execution steps: The edge spray execution unit receives instruction packets from the central controller, integrates them into an equivalent target flow rate, and sets the duty cycle of the PWM signal accordingly. Simultaneously, when the system identifies primary / secondary interferences such as strong sunlight or gusts of wind, the PWM drive circuit not only increases the forward water supply power but also briefly activates a reverse micro-circulation mode to enhance atomization fineness and water droplet adhesion rate, thereby generating a highly retention-resistant reverse evaporation-inhibiting water flow. Specifically, the drive circuit adjusts the pump speed and water flow direction according to a compensation coefficient, enabling the spray water flow to actively counteract environmental interference. Furthermore, when high wind speeds are detected, the spray intensity is increased and the water flow direction is adjusted to allow the water to spray against the wind, creating a local negative pressure microenvironment, thereby inhibiting rapid water evaporation. Preferably, utilizing reverse evaporation-inhibiting water flow for local microclimate control effectively reduces rapid water loss caused by factors such as wind speed and sunlight, improving the uniformity and quality stability of maintenance.

[0052] Furthermore, based on the concrete pouring structure, a dynamic curing reference trajectory is configured using temperature and humidity monitoring data. The temperature and humidity deviation determination module M100 is used to execute the following method: A three-dimensional spatial coordinate system is established with the geometric center of the concrete pouring structure as the origin; in the three-dimensional spatial coordinate system, the temperature and humidity monitoring data are spatially correlated and mapped to determine the temperature monitoring deviation and humidity monitoring deviation; based on the temperature monitoring deviation and humidity monitoring deviation, the dynamic curing reference trajectory is constructed.

[0053] Specifically, the three-dimensional spatial coordinate system refers to a rectangular coordinate system constructed based on the actual shape of the concrete component, with its centroid or design symmetry center as the origin, and the X, Y, and Z axes corresponding to the length, width, and height directions, respectively. This system is used to uniformly describe the spatial positions of each sensor and the curing section. Spatial correlation mapping refers to binding the sensor data collected at different physical locations with their coordinates in the three-dimensional coordinate system, forming a temperature and humidity field dataset with spatial labels. Temperature monitoring deviation and humidity monitoring deviation represent the difference between the measured temperature / humidity at each spatial point and the ideal curing state at the current moment, respectively, and have clear spatial vector attributes. The dynamic curing reference trajectory is a temperature and humidity target field that evolves over time and is distributed in three-dimensional space, rather than a single scalar curve. Each spatial point has an independent ideal value, constituting a spatiotemporal coupling reference benchmark.

[0054] Execution steps: Extract the geometric boundaries of the concrete structure based on the BIM model or construction drawings, calculate its volume centroid as the origin, establish a three-dimensional coordinate system with millimeter-level accuracy, and register the IDs of the wireless temperature and humidity sensors deployed on the surface and inside with their installation coordinates to achieve spatial mapping of monitoring data. For example, if a sensor is installed at (4.0, 2.1, 0.3) and the measured temperature is 41℃, while the ideal temperature at this point 12 hours after pouring is calculated based on the concrete mix ratio and environmental conditions, the temperature deviation is +7℃. Similarly, if the measured humidity is 68% while the ideal value is ≥80%, the humidity monitoring deviation is −12%.

[0055] Based on the deviation data of all spatial points, an interpolation algorithm is used to reconstruct the overall deviation distribution and generate a matching dynamic maintenance reference trajectory. This means that in the next control cycle, the target temperature and humidity at each point are no longer globally uniform values, but rather dynamically set reference values ​​based on their spatial location, heat conduction path, and boundary conditions. Preferably, the maintenance reference is extended and mapped to a three-dimensional spatial coordinate system, providing a benchmark for zoned gain allocation and precise edge execution.

[0056] Furthermore, based on the dynamic maintenance reference trajectory and the temperature and humidity deviation, differentiated spray calibration is performed. The maintenance status assessment index determination module M200 is also used to execute the following method: A fuzzy PID control algorithm is used to drive the synchronous adjustment of each edge spraying execution unit; at the same time, based on the dynamic maintenance reference trajectory and the temperature and humidity deviation, the maintenance central controller determines the target spraying ratio of each edge spraying execution unit.

[0057] Specifically, the fuzzy PID control algorithm is a hybrid control strategy that integrates traditional proportional-integral-derivative control with fuzzy logic reasoning. It can dynamically adjust PID parameters, including Kp, Ki, and Kd, according to temperature and humidity deviations and their changing trends to adapt to the nonlinear, time-varying, and highly uncertain characteristics of concrete curing. Synchronous adjustment refers to the coordinated action of multiple edge spraying execution units under the coordination of the central controller, according to a unified timing or phase relationship, to avoid local water pressure fluctuations or coverage blind spots caused by asynchronous spraying. The target spraying ratio refers to the percentage of spraying intensity that each edge unit should perform within the current control cycle relative to its maximum capacity. This ratio is calculated by the central controller based on the dynamic curing reference trajectory and the measured temperature and humidity deviations, and is a key intermediate variable connecting upper-level decision-making and lower-level execution.

[0058] Execution steps: The central controller first calculates the initial target spray ratio of each edge spray execution unit based on the difference between the temperature and humidity deviation after three-dimensional spatial mapping and the dynamic maintenance reference trajectory through a multi-objective optimization model. Then, the initial target spray ratio of each edge spray execution unit is input as a set value to the fuzzy PID controller deployed locally in each edge unit. The fuzzy rule base dynamically tunes the PID parameters according to the deviation magnitude and deviation change rate. For example, when ΔT is large and continuously increases, Kp is increased to speed up the response; when the deviation is close to zero but oscillates, Kd is increased to suppress overshoot. Each edge spray execution unit adjusts the PWM drive signal in real time accordingly to achieve continuous and smooth control of the spray flow. At the same time, the central controller ensures that each edge spray execution unit starts and stops spraying water in a consistent manner through a time synchronization protocol, ensuring the spatial consistency of the spray field.

[0059] Furthermore, a fuzzy PID control algorithm is used to drive the synchronous adjustment of each edge spraying execution unit. The maintenance status assessment index determination module M200 is also used to execute the following method: In each edge spraying execution unit, the maintenance stability level is evaluated based on the variance of the temperature and humidity monitoring data; the fuzzy PID control algorithm is activated, and the maintenance central controller dynamically adjusts the fuzzy control rules based on the maintenance stability level, wherein the cumulative time of the integral term is positively correlated with the maintenance stability level.

[0060] Specifically, the variance of temperature and humidity monitoring data refers to the statistical dispersion of temperature and humidity values ​​obtained from multiple sensors or multiple samplings by a single sensor within a certain maintenance section within a preset time window. It is used to quantify the degree of environmental fluctuation or inconsistent response in that area. The maintenance stability level is a stability index of the maintenance state assessed based on the temperature and humidity variance. It is usually divided into multiple levels, such as high stability, medium stability, and low stability, reflecting the stability of the current maintenance state of the section. The fuzzy control rule refers to the fuzzy logic rule used to adjust the PID parameters in the fuzzy PID control algorithm. These rules are dynamically adjusted according to the stability level of the input to adapt to different maintenance states. The integral term accumulation time here is not the fixed integral period in traditional PID, but refers to the effective time window for the integral action or the equivalent adjustment time of the integral gain Ki. It is positively correlated with the stability level, meaning that the lower the stability, the weaker the integral action, in order to avoid system oscillation due to integral saturation during severe fluctuations.

[0061] Execution steps: Each edge spray execution unit locally calculates the variance of temperature and humidity monitoring data for its responsible section within the sliding time window. The larger the variance, the more drastic the temperature and humidity fluctuations in the area, and the lower the maintenance stability. The maintenance stability level is assessed based on the temperature and humidity variance. For example, a high stability level is set when the variance is less than a certain threshold, a medium stability level is set when the variance is within a certain range, and a low stability level is set when the variance exceeds a higher threshold.

[0062] The maintenance stability level is uploaded to the maintenance central controller, which dynamically adjusts the fuzzy PID control rules assigned to the unit accordingly. Specifically: for low-stability sections, the effective accumulation time of the integral term is shortened, and a more conservative fuzzy rule is used, reducing the integral time constant Ti to weaken the integral action. By shortening the effective accumulation time window or reducing the integral gain Ki, overshoot or oscillation caused by continuous error accumulation is avoided, and overshoot is suppressed first to ensure system robustness. For high-stability sections, the integral action is enhanced, the integral accumulation time is extended, and Ki is appropriately increased to strengthen the ability to eliminate steady-state errors and allow for more aggressive response rules to accurately eliminate residual steady-state errors and improve maintenance accuracy. Therefore, the strength of the integral action is positively correlated with the maintenance stability level, and the setting of the integral time constant Ti needs to be comprehensively adjusted in conjunction with Kp to ensure that the integral effect meets the requirements of the current operating conditions. Preferably, a state-aware adaptive fuzzy PID is used, which improves the system performance under both unsteady and steady-state conditions and ensures the stability of the maintenance state.

[0063] Furthermore, utilizing the reverse evaporation to suppress water flow and actively counteract environmental interference, the intelligent concrete spray curing system based on temperature and humidity regulation is also used to perform the following methods: Based on the local wind speed vector and the solar incidence angle, the dominant direction of water evaporation is determined; based on the dominant direction of water evaporation, the spray angle and velocity vector of the spray water flow are dynamically adjusted by the PWM bidirectional water pump drive circuit, so that the projection component of the momentum vector of the reverse evaporation inhibiting water flow is negative in the dominant direction of water evaporation.

[0064] Specifically, the local wind speed vector refers to the magnitude and direction of the wind speed measured near a specific maintenance section, characterizing the driving effect of air flow on moisture migration; the solar incidence angle is the angle between the sunlight and the normal to the concrete surface, affecting the radiant energy received per unit area and the surface temperature gradient; the dominant direction of moisture evaporation is the spatial direction in which the net loss of moisture from the concrete surface is most significant after considering both the wind speed vector and the solar thermal effect, and is usually determined by wind-induced convection and heat-driven evaporation.

[0065] The PWM bidirectional water pump drive circuit not only controls the flow rate but also links with the adjustable nozzle mechanism to achieve vector control of the spray angle and flow rate. The momentum vector of the reverse evaporation suppressing water flow refers to the vector composed of the velocity and mass flow rate of the spray water flow in space, with the unit: kg·m / s². Its direction and magnitude can be adjusted by nozzle deflection and pump pressure. A negative projection component means that the component of the momentum vector in the evaporation-dominant direction is opposite to the evaporation direction, that is, actively applying a reverse momentum to physically counteract the tendency of water loss.

[0066] Execution steps: The ultrasonic anemometer and the SPA algorithm are used to obtain the local wind speed vector and the solar incidence angle. The SPA (Solar Position Algorithm) algorithm calculates the solar zenith angle, azimuth angle and light incidence direction in real time based on the current GPS time, the latitude and longitude of the construction site and altitude, and then determines the solar radiation incidence angle on the concrete surface.

[0067] Furthermore, by coupling the Penman-Monteith model with CFD microscale simulation, the direction and elevation angle of maximum water evaporation flux were determined, with east as x-positive, north as y-positive, and altitude as z-positive. This was converted into a three-dimensional unit vector, namely the unit vector e1 of the dominant water evaporation direction. To counteract water loss in this direction, the central controller instructed the corresponding edge spray execution unit to adjust the output of its PWM bidirectional water pump drive circuit: on the one hand, to increase the water pump pressure to increase the flow rate, and on the other hand, to drive the servo mechanism to deflect the nozzle to the azimuth and depression angles, with east as x-positive, north as y-positive, and altitude as z-positive. This was converted into a three-dimensional unit vector, namely the spray water flow vector e2.

[0068] To achieve reverse cancellation, the actual control objective is to ensure that the projection of the spray water flow vector e2 onto the unit vector e1 in the dominant direction of water evaporation is negative. Therefore, the spray direction is designed in reverse using the geometric reflection method to further determine the projection of the spray water flow vector e2 onto the unit vector e1 in the dominant direction of water evaporation. It should be noted that if e2·e1 < 0, the requirement of a negative projection component is met, indicating that the spray water flow has applied effective reverse momentum suppression in the direction of most severe water loss. Preferably, spray control is performed using directional momentum counteraction, achieving active environmental disturbance suppression at the fluid dynamics level.

[0069] In summary, the beneficial effects of the embodiments of this application are: The system employs several key technologies: a temperature and humidity deviation determination module (based on the concrete pouring structure, configuring a dynamic curing reference trajectory using temperature and humidity monitoring data to determine the temperature and humidity deviation); a curing status assessment index determination module (using concrete spraying curing parameters to determine curing status assessment indices; triggering a dynamic curing mechanism when these indices exceed the curing status safety boundary corresponding to the concrete pouring structure, driving the central curing controller to perform differentiated spraying calibration based on the dynamic curing reference trajectory and temperature and humidity deviation); a dynamic allocation module (dynamically allocating spraying intensity gain factors to each curing section according to the curing status assessment indices); and a zoned enhancement control module (activating edge spraying execution units deployed in each curing section, performing refined zoned enhancement control of concrete curing through the spraying intensity gain factors of each curing section). This application provides an intelligent concrete spray curing system based on temperature and humidity control, which realizes the technical effect of analyzing the concrete pouring and curing status, triggering a dynamic curing mechanism when the safety boundary is exceeded, performing differential calibration based on temperature and humidity deviation, and dynamically allocating spraying intensity gain factors according to sections, thereby improving the uniformity of concrete spray curing through refined zoning and enhanced control.

[0070] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0071] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0072] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. An intelligent concrete spray curing system based on temperature and humidity control, characterized in that, include: Temperature and humidity deviation determination module: Based on the concrete pouring structure, the module determines the temperature and humidity deviation by configuring a dynamic curing reference trajectory through temperature and humidity monitoring data; Curing status assessment index determination module: The curing status assessment index is determined by the concrete spray curing parameters. When the curing status assessment index exceeds the curing status safety boundary corresponding to the concrete pouring structure, the dynamic curing mechanism is triggered: the central controller of curing is driven to perform differentiated spraying calibration based on the dynamic curing reference trajectory and temperature and humidity deviation. Dynamic allocation module: Simultaneously, the spray intensity gain factor of each maintenance section is dynamically allocated according to the maintenance status assessment index; Zonal Enhancement Control Module: Activates the edge spray execution units deployed in each curing section, and performs refined zonal enhancement control of concrete curing through the spray intensity gain factor of each curing section.

2. The intelligent concrete spray curing system based on temperature and humidity control as described in claim 1, characterized in that, Determining curing status assessment indicators through concrete spraying curing parameters also includes: The concrete pouring structure is divided into M uniformly distributed curing sections, and the weighted average value of temperature and humidity for each curing section is obtained. Using the geometric center of the concrete pouring structure as the reference point, and combining the spatial location of each curing section, the coordinates of the curing anomaly center are identified through moisture evaporation uniformity analysis. The difference between the coordinates of the maintenance anomaly center and the coordinates of the structural geometric center is compared to determine the maintenance anomaly offset vector value. The maintenance status evaluation index is the magnitude of the maintenance anomaly offset vector value.

3. The intelligent concrete spray curing system based on temperature and humidity control as described in claim 1, characterized in that, The spray intensity gain factor for each maintenance section is dynamically allocated based on the maintenance status assessment index, and the method further includes: The spray intensity gain factor is used for feedback adjustment to bring the curing status assessment index back to the curing status safety boundary corresponding to the concrete pouring structure. During the feedback adjustment process, the gain change rate of each maintenance section is collected. If the gain change rate exceeds a preset safety threshold, one or more sets of spraying actions corresponding to one or more edge spraying execution units are paused.

4. The intelligent concrete spray curing system based on temperature and humidity control as described in claim 1, characterized in that, By using the spray intensity gain factor in each curing section, refined zonal enhancement control of concrete curing is achieved, including: Perform characteristic analysis on environmental impact data to identify dominant disturbance factors and activate environmental compensation mechanisms; Based on the dominant interference factors, the compensation coefficient is dynamically adjusted by matching the inherent response frequency of the environmental compensation mechanism. Based on the spray intensity gain factor of each maintenance section, temperature and humidity are synergistically controlled in combination with the compensation coefficient.

5. The intelligent concrete spray curing system based on temperature and humidity control as described in claim 4, characterized in that, The compensation coefficient is dynamically adjusted by matching its relationship with the inherent response frequency of the environmental compensation mechanism, including: The accuracy change rate of temperature and humidity control on concrete surface is introduced. If the accuracy improvement rate within a preset time period after adjusting the compensation coefficient does not reach the expected improvement rate, a secondary interference identification command is triggered. Based on the secondary interference identification instructions, the secondary interference factors of the environmental impact data are determined; Configure a partition compensation strategy based on the dominant and secondary interference factors.

6. The intelligent concrete spray curing system based on temperature and humidity control as described in claim 1, characterized in that, include: The edge spraying execution unit integrates a PWM bidirectional water pump drive circuit. The edge spray execution unit is configured to: receive spray commands and compensation coefficients issued by the maintenance central controller; generate reverse evaporation suppression water flow through the PWM bidirectional water pump drive circuit based on the spray commands and compensation coefficients; and actively counteract environmental interference using the reverse evaporation suppression water flow.

7. The intelligent concrete spray curing system based on temperature and humidity control as described in claim 1, characterized in that, Based on the concrete pouring structure, a dynamic curing reference trajectory is configured using temperature and humidity monitoring data, including: A three-dimensional spatial coordinate system is established with the geometric center of the concrete pouring structure as the origin; In the three-dimensional spatial coordinate system, the temperature and humidity monitoring data are spatially correlated and mapped to determine the temperature monitoring deviation and humidity monitoring deviation; Based on the temperature monitoring deviation and humidity monitoring deviation, the dynamic maintenance reference trajectory is constructed.

8. The intelligent concrete spray curing system based on temperature and humidity control as described in claim 7, characterized in that, Differential spray calibration based on the dynamic maintenance reference trajectory and temperature and humidity deviation also includes: A fuzzy PID control algorithm is used to drive the synchronous adjustment of each edge spraying unit; Meanwhile, based on the dynamic maintenance reference trajectory and the temperature and humidity deviation, the maintenance central controller determines the target spray ratio of each edge spray execution unit.

9. The intelligent concrete spray curing system based on temperature and humidity control as described in claim 8, characterized in that, A fuzzy PID control algorithm is used to drive the synchronous adjustment of each edge spraying actuator, including: In each of the edge spraying execution units, the maintenance stability level is evaluated based on the variance of the temperature and humidity monitoring data; When the fuzzy PID control algorithm is enabled, the maintenance central controller dynamically adjusts the fuzzy control rules based on the maintenance stability level, wherein the cumulative time of the integral term is positively correlated with the maintenance stability level.

10. The intelligent concrete spray curing system based on temperature and humidity control as described in claim 6, characterized in that, The reverse evaporation method is used to suppress water flow and actively counteract environmental disturbances, including: The dominant direction of water evaporation is determined based on the local wind speed vector and the solar incidence angle. Based on the dominant direction of water evaporation, the spray angle and velocity vector of the spray water flow are dynamically adjusted by the PWM bidirectional water pump drive circuit, so that the projection component of the momentum vector of the reverse evaporation inhibiting water flow is negative in the dominant direction of water evaporation.

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