Concrete vibration strength dynamic adjustment method and system based on environment temperature and humidity and fuzzy control

Abstract

The invention provides a concrete vibration strength dynamic adjustment method and system based on environment temperature and humidity and fuzzy control. The concrete vibration strength dynamic adjustment method comprises the steps that humidity data of the surface and the periphery of concrete and temperature data in the concrete are collected; based on temperature data, performing nonlinear temperature compensation on the humidity data to obtain compensated humidity data; generating a dynamic coupling parameter based on the humidity gradient change rate of the compensated humidity data and the temperature gradient change rate of the compensated temperature data, performing fuzzy rule processing on the change trend of the dynamic coupling parameter, and generating a frequency conversion control parameter set matched with the environment temperature and humidity; the output power of the concrete vibrating equipment is adjusted according to the frequency conversion control parameter set, so that the vibrating strength of the concrete vibrating equipment is adjusted along with the change of the environment temperature and humidity; according to the method, dynamic self-adaptive adjustment of the concrete vibration strength under the high-humidity environment of concrete continuous beam engineering is achieved, and the concrete compactness and the construction equipment response precision under the complex working condition are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a method and system for dynamically adjusting concrete vibration strength based on ambient temperature and humidity and fuzzy control. Background Art

[0002] As railway bridge construction rapidly develops toward longer spans and heavier loads, concrete, a key building material widely used in bridge engineering, civil construction, nuclear power projects, and the intelligent manufacturing industry, faces severe technical challenges in construction quality control. Concrete continuous beams, as the core load-bearing structure in bridge engineering, feature long spans, heavy loads, and complex structures. Their construction quality directly impacts the safety and durability of the entire project.

[0003] To meet the construction requirements of concrete continuous beams, the current mainstream technology uses a control architecture that combines a distributed sensor network with linear regression correction. This architecture collects surface moisture content and core temperature data by deploying a dual-mode temperature and humidity sensor array. A fixed temperature compensation coefficient is used to linearly calibrate the raw humidity value. A threshold partitioning strategy is then used to drive the vibrating equipment to adjust its output power in stages. This approach has significant limitations in practical applications: the linear correction model cannot characterize the nonlinear temperature drift characteristics of the sensor under condensation conditions, resulting in large measurement errors under high-temperature saturated humidity conditions. The fixed step-size adjustment strategy can easily lead to equipment overload or under-vibration when vibrating complex continuous beam sections, causing localized aggregate segregation or prestressed pipe displacement, directly impacting the structural durability and load-bearing capacity. The threshold partitioning strategy lacks the ability to dynamically adapt to complex working conditions and cannot meet the precise vibration requirements of box beams with irregular cross-sections and multi-compartment structures. Summary of the Invention

[0004] The present invention provides a method and system for dynamically adjusting the concrete vibration strength based on ambient temperature and humidity and fuzzy control, which is used to solve the problems in the prior art such as inaccurate linear compensation models, equipment overload or under-vibration when vibrating continuous beams with complex cross-sections, and lack of dynamic adaptability to complex working conditions.

[0005] In a first aspect, the present invention provides a method for dynamically adjusting the concrete vibration strength based on ambient temperature and humidity and fuzzy control, comprising:

[0006] Collect humidity data on the concrete surface and surrounding areas and temperature data inside the concrete;

[0007] Based on the temperature data, performing nonlinear temperature compensation on the humidity data to obtain compensated humidity data;

[0008] Performing weighted superposition calculation on the humidity gradient change rate of the compensated humidity data and the temperature gradient change rate of the temperature data to generate a dynamic coupling parameter;

[0009] Performing fuzzy rule processing on the variation trend of the dynamic coupling parameter to generate a variable frequency control parameter set adapted to the ambient temperature and humidity, the variable frequency control parameter set including adjustment parameters corresponding to the amplitude, frequency, and duty cycle of the concrete vibrating equipment;

[0010] The output power of the concrete vibrating equipment is adjusted according to the frequency conversion control parameter set, so that the vibration intensity of the concrete vibrating equipment can be adjusted in real time as the ambient temperature and humidity change.

[0011] Optionally, performing weighted superposition calculation on the humidity gradient change rate of the compensated humidity data and the temperature gradient change rate of the temperature data to generate a dynamic coupling parameter includes:

[0012] Calculating humidity differences between adjacent acquisition times based on the compensated humidity data, and determining a humidity change rate per unit time according to the humidity differences;

[0013] Based on the temperature values ​​at the same collection time and at different depths inside the concrete in the temperature data, determine the absolute value of the difference between the highest temperature value and the lowest temperature value in the depth direction of the concrete vibrating equipment, and determine the temperature change rate per unit time in combination with the collection time interval;

[0014] According to the construction environment parameters, a final humidity weight corresponding to the humidity change rate is set, and according to the concrete mix ratio parameters, a final temperature weight corresponding to the temperature change rate is set, and the humidity change rate and the temperature change rate are multiplied by the corresponding weights and then superimposed to obtain a superposition result;

[0015] Dynamic coupling parameters are generated according to the correlation between the superposition result and preset dynamic parameters, where the preset dynamic parameters include a humidity change direction characteristic parameter and a temperature conduction delay coefficient.

[0016] Optionally, the final humidity weight corresponding to the humidity change rate is set according to the construction environment parameters, and the final temperature weight corresponding to the temperature change rate is set according to the concrete mix ratio parameters, including:

[0017] According to the permeability coefficient in the construction environment parameters, the permeability coefficient is compared with a preset permeability coefficient classification threshold to determine an initial humidity weight;

[0018] Based on the thermal conductivity in the concrete mix parameters, an initial temperature weight is determined. When the concrete pouring thickness exceeds the set thickness, the initial temperature weight is attenuated and corrected according to the preset thickness ratio to obtain a thickness attenuation correction value.

[0019] collecting a target water seepage amount during the operation of the concrete vibrating equipment, and when the target water seepage amount exceeds a preset water seepage amount, calculating a moisture weight compensation value based on the excess water seepage amount exceeding the preset water seepage amount;

[0020] The initial humidity weight and the humidity weight compensation value are superimposed to obtain a final humidity weight, and the initial temperature weight and the thickness attenuation correction value are multiplied to obtain a final temperature weight.

[0021] Optionally, a dynamic coupling parameter is generated according to a correlation between the superposition result and preset dynamic parameters, wherein the preset dynamic parameters include a humidity change direction characteristic parameter and a temperature conduction delay coefficient, including:

[0022] Determining a humidity change direction mark value based on the attributes of the superposition result;

[0023] Calculating a maximum temperature difference based on temperature values ​​at different depths inside the concrete at the same acquisition time in the temperature data, and calculating a temperature conduction delay influence factor based on a ratio of the maximum temperature difference to the acquisition time interval;

[0024] Multiplying the humidity change direction mark value by the superposition result to obtain a direction correction value;

[0025] According to the temperature conduction delay influencing factor and the thermal conductivity in the concrete mix ratio parameter, a delay compensation operation is performed on the direction correction value to generate a dynamic coupling parameter.

[0026] Optionally, a delay compensation operation is performed on the direction correction value according to the temperature conduction delay influencing factor and the thermal conductivity in the concrete mix ratio parameter to generate a dynamic coupling parameter, including:

[0027] Set the temperature conduction delay threshold;

[0028] When the temperature conduction delay impact factor is less than the temperature conduction delay critical value, multiplying the direction correction value and the temperature conduction delay impact factor according to a preset first proportional relationship to obtain a first compensation value, and adding the first compensation value and the direction correction value to generate a dynamic coupling parameter;

[0029] When the temperature conduction delay influence factor is greater than or equal to the temperature conduction delay critical value, the direction correction value is compensated according to the thermal conductivity and a preset second proportional relationship to obtain a second compensation value, and the second compensation value and the direction correction value are added to generate a dynamic coupling parameter.

[0030] Optionally, fuzzy rule processing is performed on the variation trend of the dynamic coupling parameter to generate a set of variable frequency control parameters adapted to the ambient temperature and humidity, including:

[0031] determining a trend marker value based on a change direction characteristic of the dynamic coupling parameter;

[0032] According to the absolute value of the change of the dynamic coupling parameter and the preset temperature and humidity response interval division rule, the parameter change rate is divided into levels to obtain multiple change rate levels;

[0033] Based on the trend mark value and the change rate level, generating a set of vibration control parameters through fuzzy rule mapping;

[0034] According to the rated output power of the concrete vibrating equipment, the vibration control parameter set group is range-constrained to generate a frequency conversion control parameter set adapted to the ambient temperature and humidity.

[0035] Optionally, performing nonlinear temperature compensation on the humidity data based on the temperature data to obtain compensated humidity data includes:

[0036] Based on the temperature measurement values ​​corresponding to different concrete depths in the temperature data, calculating an arithmetic mean of the temperature measurement values ​​as an environmental reference temperature;

[0037] Selecting a corresponding nonlinear compensation curve segment according to a preset temperature range in which the ambient reference temperature is located;

[0038] Based on the nonlinear compensation curve segment, a humidity compensation coefficient is calculated, and the original humidity measurement value in the humidity data and the humidity compensation coefficient are multiplied to obtain compensated humidity data.

[0039] In a second aspect, the present invention provides a system for dynamically adjusting the concrete vibration strength based on ambient temperature and humidity and fuzzy control, comprising:

[0040] The acquisition module is used to collect humidity data on the concrete surface and its surroundings and temperature data inside the concrete;

[0041] a compensation module, configured to perform nonlinear temperature compensation on the humidity data based on the temperature data to obtain compensated humidity data;

[0042] a calculation module, configured to perform weighted superposition calculation on the humidity gradient change rate of the compensated humidity data and the temperature gradient change rate of the temperature data to generate a dynamic coupling parameter;

[0043] a processing module for performing fuzzy rule processing on a variation trend of the dynamic coupling parameter to generate a set of variable frequency control parameters adapted to the ambient temperature and humidity, the set of variable frequency control parameters including adjustment parameters corresponding to the amplitude, frequency, and duty cycle of the concrete vibrating equipment;

[0044] The adjustment module is used to adjust the output power of the concrete vibrating equipment according to the frequency conversion control parameter set, so that the vibration intensity of the concrete vibrating equipment can be adjusted in real time as the ambient temperature and humidity change.

[0045] In a third aspect, the present invention provides a computing device comprising a processor and a memory, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute a method for dynamic adjustment of concrete vibration strength based on ambient temperature, humidity and fuzzy control as described in any one of the first aspects.

[0046] In a fourth aspect, the present invention provides a computer storage medium having computer program instructions stored thereon, which, when executed by a processor, implements a method for dynamic adjustment of concrete vibration strength based on ambient temperature, humidity and fuzzy control as described in any one of the first aspects.

[0047] In the present invention, humidity data of the concrete surface and its surroundings and temperature data inside the concrete are collected; based on the temperature data, nonlinear temperature compensation is performed on the humidity data to obtain compensated humidity data; the humidity gradient change rate of the compensated humidity data and the temperature gradient change rate of the temperature data are weighted and superimposed to generate dynamic coupling parameters; fuzzy rule processing is performed on the change trend of the dynamic coupling parameters to generate a variable frequency control parameter set adapted to the ambient temperature and humidity, the variable frequency control parameter set including adjustment parameters corresponding to the amplitude, frequency and duty cycle of the concrete vibrating equipment; the output power of the concrete vibrating equipment is adjusted according to the variable frequency control parameter set, so that the vibration intensity of the concrete vibrating equipment is adjusted in real time with the change of the ambient temperature and humidity. The technical solution provided by the present invention synchronously obtains concrete surface humidity and internal temperature distribution data through a multi-dimensional sensing network, solving the problem that traditional single-point detection cannot characterize the temporal and spatial differences of environmental parameters, and significantly reducing the measurement errors caused by sensor condensation and temperature drift in high-humidity environments. The surface humidity data is corrected in a piecewise nonlinear manner based on the internal temperature gradient of the concrete, breaking through the limitations of the traditional linear compensation model and effectively eliminating the nonlinear distortion error of the sensor under high-temperature and high-humidity conditions of the concrete continuous beam project. The dynamic coupling parameters that characterize the dynamic characteristics of the environment are constructed through weighted fusion calculation of the temperature and humidity change rates, solving the control response lag problem caused by the independent processing of temperature and humidity parameters in the existing technology, and accurately capturing the early characteristics of water seepage mutations. The multi-dimensional control parameter set is adaptively generated based on the changing trend of the dynamic coupling parameters, overcoming the rigid adjustment defects of the fixed threshold control strategy, and achieving precise matching of the vibration intensity with the dynamic characteristics of the environment. The output characteristics of the equipment are coordinated and controlled in multiple dimensions through the variable frequency control parameter set, solving the problems of aggregate segregation and equipment overload caused by power mutations in traditional methods, and ensuring concrete density and construction safety. Among them, the temperature and humidity weights are dynamically set through the permeability coefficient and the thermal conductivity of concrete, and the weight compensation correction is carried out in combination with real-time monitoring of seepage volume; the delay influence factor is generated based on the composite calculation of the temperature spatial gradient and the time change rate; the weighted superposition result is integrated with the delay compensation term to construct a dynamic coupling parameter containing the temperature and humidity spatiotemporal coupling characteristics, breaking through the technical limitations of the traditional fixed weight and linear superposition model, and solving the control inaccuracy problem caused by sudden seepage and heat conduction delay in concrete continuous beam projects; through the multi-dimensional dynamic coupling of geological parameters, material parameters, and environmental parameters, the timeliness of vibration intensity adjustment and the adaptability to working conditions are significantly improved, and the equipment power limit and concrete forming defects are effectively suppressed.

[0048] These and other aspects of the present invention will become more readily apparent from the following description of the embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0050] Figure 1 A flowchart of a method for dynamically adjusting concrete vibration strength based on ambient temperature and humidity and fuzzy control provided by an embodiment of the present invention;

[0051] Figure 2 A structural diagram of a dynamic adjustment system for concrete vibration strength based on ambient temperature and humidity and fuzzy control provided by an embodiment of the present invention;

[0052] Figure 3 A schematic diagram of the structure of a computing device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0054] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., and do not represent the order of precedence, nor do they limit "first" and "second" to be different types.

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0056] Figure 1 The present invention provides a flowchart of a method for dynamically adjusting the concrete vibration strength based on ambient temperature and humidity and fuzzy control, such as Figure 1 As shown, the method includes:

[0057] To address the challenges of vibration control caused by complex environmental temperature and humidity coupling disturbances during the construction of long-span concrete continuous beams, existing technologies use linear temperature and humidity correction and fixed threshold control strategies. However, these technologies struggle to address core issues such as sensor nonlinear temperature drift caused by condensation in high humidity and imbalanced vibration energy adaptation for densely reinforced, irregular-shaped sections. This method eliminates sensor signal distortion under condensation conditions by constructing a nonlinear temperature compensation algorithm. Based on dynamic coupling parameters, it integrates the weighted superposition of the humidity change rate and the product of the spatiotemporal temperature gradient to quantify the dynamic phase difference of heat and moisture transfer. Furthermore, it introduces a fuzzy rule dynamic analysis mechanism to map the coupling parameter trends into a continuous frequency-variable instruction set for vibration amplitude, frequency, and duty cycle. This method overcomes the rigid limitations of fixed step sizes and threshold partitioning strategies, achieving adaptive matching of vibration energy for complex sections (e.g., multi-compartment webs). This method overcomes three major technical bottlenecks: sensor accuracy degradation in high humidity environments, lag in non-steady-state heat and humidity field control, and blind spots in vibration for irregular-shaped structures. This method ensures real-time synchronization between energy input and material state during the concrete plastic phase, improving the overall density of the continuous beam and the reliability of the prestressed system. Based on this, the present invention provides a method for dynamic adjustment of concrete vibration strength based on ambient temperature and humidity and fuzzy control, such as Figure 1 ,include:

[0058] Step 101: Collecting humidity data on the concrete surface and its surroundings and temperature data inside the concrete;

[0059] In this step, humidity data on the concrete surface and surrounding areas refers to moisture content measured in real time on the concrete pouring surface and its surrounding areas using capacitive sensors with anti-condensation treatment. This data is used to characterize the moisture content of the concrete surface and adjacent spaces in the high-humidity environment of the concrete continuous beam project. Temperature data within the concrete refers to heat distribution values ​​obtained at different depths within the concrete structure (e.g., 5 cm from the surface, midpoint of the vibrator's action depth, and 10 cm from the bottom) using an embedded temperature sensor array. This data reflects the combined effect of heat exchange between the concrete's hydration heat and the surrounding environment.

[0060] In this embodiment of the present invention, a capacitive humidity sensor with condensation-resistant coating is placed on the concrete surface to collect humidity data on and around the concrete surface at a frequency of 1Hz. Three sets of thermocouples (at depths of 5cm, 15cm, and 25cm) embedded along the vibrator's insertion direction simultaneously record the temperature inside the concrete. For example, during the pouring of a tunnel sidewall, the surface humidity sensor measured a relative humidity of 92%, while the internal thermocouples measured temperatures of 20°C (shallow), 23°C (mid-layer), and 25°C (deep).

[0061] Step 102: Based on the temperature data, nonlinear temperature compensation is performed on the humidity data to obtain compensated humidity data. In this step, nonlinear temperature compensation refers to a technical method of segmented correction of the original humidity measurement value based on the temperature gradient within the concrete. A preset broken line approximation function (such as positive compensation in low-temperature areas and negative saturation compensation in high-humidity areas) is used to eliminate sensor temperature drift errors and address nonlinear measurement distortion caused by condensation in high-humidity environments. The compensated humidity data refers to the humidity correction value after nonlinear temperature compensation. Its physical meaning is to eliminate ambient temperature interference and accurately reflect the normalized parameter of the concrete surface moisture content. It is used in subsequent dynamic coupling calculations.

[0062] In an embodiment of the present invention, based on the temperature data, the arithmetic mean of the temperature values ​​at different depths inside the concrete is calculated (e.g., 20°C in the shallow layer, 23°C in the middle layer, and 25°C in the deep layer, resulting in a calculated mean of 22.67°C) to determine the compensation interval to which the current temperature measurement point inside the concrete belongs (e.g., based on the internal average temperature of 22.67°C, it is determined to belong to the normal temperature interval of 10-40°C). Therefore, the second segmented broken line approximation rule is called to calculate a compensation coefficient = 1-0.015×(22.67-10)=0.775, and the collected relative humidity value of 92% is compensated by multiplying the compensation coefficient to obtain a compensated humidity value, for example, 92%×0.775=71.3%.

[0063] Step 103: performing weighted superposition calculation on the humidity gradient change rate of the compensated humidity data and the temperature gradient change rate of the temperature data to generate a dynamic coupling parameter;

[0064] In this step, the humidity gradient change rate refers to the rate of change of humidity on the concrete surface per unit time. It is calculated by dividing the humidity difference between adjacent sampling points by the time interval and characterizes the dynamic characteristics of processes such as water seepage and evaporation in concrete continuous beam projects. The temperature gradient change rate refers to a composite change rate that includes spatial and temporal dimensions. On the one hand, it refers to the ratio of the maximum temperature difference along the depth direction of the concrete to the depth of action (spatial gradient). On the other hand, it refers to the change of the spatial gradient over time (temporal gradient), which is used to quantify the heat conduction delay effect. The dynamic coupling parameter refers to a comprehensive indicator generated by weighted fusion of the humidity gradient change rate and the temperature gradient change rate. Its weight coefficient is dynamically adjusted according to the permeability coefficient and the thermal conductivity of the concrete.

[0065] In an embodiment of the present invention, first, based on the compensated humidity data, the humidity difference between two adjacent acquisition time points is calculated, and the humidity difference is divided by the acquisition time interval to obtain the humidity gradient change rate per unit time; then, based on the temperature measurement values ​​at different depths inside the concrete obtained at the same acquisition time, the absolute value of the maximum temperature and the minimum temperature difference along the depth direction of the vibrating equipment is calculated as the spatial gradient reference, and then combined with the change in the spatial gradient reference at adjacent acquisition times, the value is divided by the time interval to generate the temperature gradient change rate; finally, the humidity weight coefficient is set according to the permeability coefficient, and the temperature weight coefficient is set based on the thermal conductivity characteristics in the concrete mix ratio parameters. The humidity gradient change rate and the temperature gradient change rate are multiplied by the corresponding weight coefficients and then algebraically superimposed to generate a dynamic coupling parameter that simultaneously reflects the dynamic changes of the environment and the thermal conduction delay characteristics of the material.

[0066] For example, during the vibration of tunnel lining concrete, the compensated humidity was measured to increase from 71.3% RH to 72.1% RH within two consecutive minutes, and the calculated humidity gradient change rate was (72.1-71.3) / 2 = 0.4% / min. During the same period, the spatial temperature gradient within the concrete changed from 25°C / m to 27°C / m, with a change of 2°C / m within the time interval, and the temperature gradient change rate was 2 / 2 = 1°C / (m·min). A humidity weight of 0.6 was set based on the permeability coefficient (for high permeability areas), and a temperature weight of 0.4 was set based on the thermal conductivity coefficient (for low thermal conductivity concrete). The dynamic coupling parameter (0.6 × 0.4 + 0.4 × 1 = 0.64) was calculated and superimposed. This parameter was input into the subsequent fuzzy rule base to trigger the high-frequency vibration mode.

[0067] Step 104: Perform fuzzy rule processing on the variation trend of the dynamic coupling parameter to generate a set of variable frequency control parameters adapted to the ambient temperature and humidity, wherein the set of variable frequency control parameters includes adjustment parameters corresponding to the amplitude, frequency, and duty cycle of the concrete vibrating equipment;

[0068] In this step, fuzzy rule processing refers to the decision logic constructed based on the typical working conditions of concrete continuous beam engineering (such as sudden changes in water seepage and heat accumulation), mapping the changing trends of dynamic coupling parameters into multi-dimensional control instructions for the vibration equipment, and realizing a smooth transition from continuous quantity to discrete control strategy through fuzzy membership function. The variable frequency control parameter set refers to a parameter group including amplitude adjustment coefficient, frequency step value and duty cycle mode, where the amplitude coefficient controls the intensity of the vibration force, the frequency step value determines the energy input rate, and the duty cycle mode adjusts the intermittent period of the pulse operation. The three work together to achieve fine-grained control of the vibration intensity. Duty cycle refers to the ratio of the effective vibration time to the total cycle time in a single vibration cycle during the operation of the concrete vibration equipment. It is usually expressed as a percentage and is used to characterize the time distribution density of the vibration energy. In the construction of concrete continuous beams, the intermittent delivery intensity of the vibration force can be controlled by adjusting the duty cycle.

[0069] In an embodiment of the present invention, based on the continuous change trend of the dynamic coupling parameters, by analyzing their directionality (such as strong rising / falling trend) and rate level (such as low-speed gradual change, medium-speed fluctuation, high-speed sudden change), matching the preset water seepage emergency, steady-state maintenance and other working condition rule libraries, the composite environmental characteristics are mapped into amplitude adjustment coefficients, frequency step amounts and duty cycle change modes, and finally a set of variable frequency control parameters adapted to the thermal and moist dynamic characteristics of the concrete continuous beam project is generated.

[0070] Step 105: adjusting the output power of the concrete vibrating equipment according to the variable frequency control parameter set, so that the vibration intensity of the concrete vibrating equipment is adjusted in real time with changes in ambient temperature and humidity;

[0071] In an embodiment of the present invention, the amplitude coefficient in the frequency conversion control parameter set is multiplied by the current amplitude of the equipment to achieve energy intensity regulation, and the vibration frequency is adjusted step by step according to the frequency step amount to match the environmental mutation rate. At the same time, the high and low level cycles are dynamically switched according to the duty cycle mode. The three work together on the vibration equipment drive module to make the output power transition smoothly in real time with changes in temperature and humidity, avoiding step-like jumps, and ensuring the precise adaptation and uniform compaction of the vibration energy in the plastic stage of concrete.

[0072] For example, during the pouring construction of a certain concrete continuous beam, the surface humidity sensor measured an original humidity value of 92% RH, and the internal temperatures were 20°C (shallow layer), 23°C (middle layer), and 25°C (deep layer). Then, based on the original humidity value of 92%, the internal temperature average was obtained to be 22.67°C, which was determined to be in the normal temperature compensation range. The segmented broken line rule was used to calculate the compensation coefficient of 0.775, and the original humidity value was compensated to 71.3% to eliminate the nonlinear error caused by sensor temperature drift and condensation. The humidity gradient change rate of adjacent sampling points was then calculated to be 0.0133% / s, and the composite temperature gradient was generated by combining the product of the internal temperature spatial gradient of 25°C / m and the time gradient of 0.0033°C / s. The humidity change rate is 0.0825, and the humidity weight is set to 0.6 and the temperature weight is set to 0.4 according to the permeability coefficient for weighted superposition, resulting in a dynamic coupling parameter of 0.042. After entering the parameter into the fuzzy rule library for processing, a positive weak growth trend and a slow gradual change feature for 5 consecutive minutes were detected, and a frequency conversion control parameter set with an amplitude fine-tuning coefficient of 1.05, a constant frequency of 50Hz, and a duty cycle increasing by 5% per minute was generated. Finally, based on this parameter set, the amplitude of the concrete vibrator was adjusted from 30mm to 31.5mm, maintaining the base frequency and gradually increasing the duty cycle, to achieve gradual adjustment of the vibration energy in a high humidity environment, avoid aggregate segregation caused by power mutation, and ensure the uniformity of concrete density.

[0073] The embodiment of the present invention eliminates the distortion of high-humidity environment sensors through nonlinear temperature compensation, integrates the spatiotemporal variation characteristics of temperature and humidity to construct dynamic coupling parameters, and breaks through the response lag bottleneck of traditional linear correction and independent parameter processing; through a fuzzy rule library designed based on typical working conditions of concrete continuous beam projects, the dynamic characteristics of the environment are mapped into a set of variable frequency control parameters to solve the problems of equipment overload and uneven concrete density caused by fixed threshold strategies; ultimately, accurate matching of vibration intensity and dynamic environmental characteristics is achieved, thereby improving construction quality and equipment reliability under complex working conditions.

[0074] The present invention provides a specific embodiment, step 103, performing weighted superposition calculation on the humidity gradient change rate of the compensated humidity data and the temperature gradient change rate of the temperature data to generate a dynamic coupling parameter, specifically comprising the following steps:

[0075] Step 301: Calculating humidity differences between adjacent acquisition times based on the compensated humidity data, and determining the humidity change rate per unit time according to the humidity differences;

[0076] In this step, the humidity change rate per unit time refers to the ratio of the change amplitude of the compensated humidity data between two adjacent collection time points to the time interval. It is obtained by calculating the difference between the current humidity value and the humidity value at the previous moment and dividing it by the sampling time interval. It is used to quantify the dynamic change rate of the humidity on the concrete surface and the surrounding environment.

[0077] In an embodiment of the present invention, based on the humidity data compensated at a fixed sampling interval (e.g., 60 seconds), the difference between the humidity value at the current moment and the value at the previous time period is calculated (e.g., 71.3%-70.5%=0.8%); the humidity difference is divided by the sampling interval time (0.8% / 60s=0.0133% / s) to obtain the humidity change rate per unit time.

[0078] Step 302: Based on the temperature values ​​at the same acquisition time and at different depths within the concrete in the temperature data, determine the absolute value of the difference between the highest temperature value and the lowest temperature value in the depth direction of the concrete vibrating equipment, and determine the temperature change rate per unit time in combination with the acquisition time interval;

[0079] In this step, the temperature change rate per unit time refers to the calculation of the absolute value of the difference between the highest temperature and the lowest temperature along the depth direction of the vibrating equipment based on the temperature measurement values ​​at different depths inside the concrete. This is combined with the ratio of adjacent acquisition time intervals to form a composite parameter that reflects the temporal and spatial variation characteristics of the temperature field, characterizing the dynamic delay effect of the heat conduction process.

[0080] In this embodiment of the present invention, three temperature measurement points (e.g., 20°C, 23°C, and 25°C) at different vibration depths at the same acquisition time are extracted from the temperature data, and the absolute value of the difference is calculated (e.g., 25°C - 20°C = 5°C). Combined with the adjacent acquisition time intervals (e.g., 60 seconds), the temperature change rate per unit time is calculated (e.g., 5°C / 60s = 0.0833°C / s).

[0081] Step 303: According to the construction environment parameters, a final humidity weight corresponding to the humidity change rate is set, and according to the concrete mix ratio parameters, a final temperature weight corresponding to the temperature change rate is set. The humidity change rate and the temperature change rate are multiplied by the corresponding weights respectively, and then superimposed to obtain a superposition result.

[0082] In this step, the final moisture weight is a dynamically set weight based on the permeability coefficient. It represents the contribution of water seepage risk to the impact of moisture changes. A higher permeability coefficient indicates a higher weight, reflecting the priority of sudden moisture changes in highly permeable strata for vibration control. The final temperature weight is a modified weight based on the thermal conductivity and pouring thickness in the concrete mix design parameters. Lower thermal conductivity or greater pouring thickness results in a higher weight attenuation. This weight is used to quantify the degree to which the material's thermal conductivity responds to temperature changes.

[0083] In the embodiment of the present invention, the permeability coefficient (such as K = 1×10 -5 m / s), and set the final humidity weight (e.g., 0.6) by comparing the grading threshold. Obtain the thermal conductivity (e.g., λ = 1.8 W / m·K) based on the concrete mix parameters, and perform weight attenuation correction (weight = 0.4 × 0.9 = 0.36) based on the pouring thickness (e.g., 2 m) to determine the final temperature weight. The humidity change rate (0.0133% / s) × the final humidity weight (0.6) + the temperature change rate (0.0833°C / s) × the final temperature weight (0.36) yields the superposition result (0.6 × 0.0133 + 0.36 × 0.0833 ≈ 0.042).

[0084] Step 304: generating dynamic coupling parameters according to the correlation between the superposition result and preset dynamic parameters, wherein the preset dynamic parameters include a humidity change direction characteristic parameter and a temperature conduction delay coefficient;

[0085] In this step, the preset dynamic parameters include two types: humidity change direction characteristic parameters and temperature conduction delay coefficients. The humidity change direction characteristic parameters are label values ​​(such as +1 or -1) generated according to the positive or negative nature of the superposition results, which are used to characterize the trend direction of humidity change; the temperature conduction delay coefficient is a compensation factor calculated based on the spatiotemporal change rate of the temperature gradient, which is used to quantify the degree of influence of the internal heat conduction hysteresis of the concrete on the control decision.

[0086] In an embodiment of the present invention, based on the weighted superposition result and combined with the positive and negative sign characteristics of the humidity change direction, when the humidity change rate is positive, the superposition result is multiplied by a coefficient of +1, otherwise it is multiplied by a coefficient of -1; at the same time, when the temperature conduction delay coefficient exceeds a preset threshold, a compensation term obtained by multiplying the delay coefficient and the material correction factor is added to the superposition result to obtain a final calculated value, which is mapped to a standardized dynamic coupling parameter interval to generate a dynamic coupling parameter that simultaneously reflects the humidity change trend direction and the degree of temperature conduction delay.

[0087] The embodiments of the present invention break through the technical limitations of traditional methods in the separation of temperature and humidity parameters through dynamic weight allocation and spatiotemporal coupling calculation, solve core problems such as sensor measurement distortion, delayed response lag of heat conduction, and rigid overload of equipment adjustment in high humidity environments, achieve precise adaptation of vibration intensity and environmental dynamic characteristics, and significantly improve the uniformity of concrete compaction and the reliability of the construction process.

[0088] The present invention provides a specific embodiment, step 303, setting a final humidity weight corresponding to the humidity change rate according to the construction environment parameters, and setting a final temperature weight corresponding to the temperature change rate according to the concrete mix ratio parameters, specifically including the following steps:

[0089] Step 311: According to the permeability coefficient in the construction environment parameter, the permeability coefficient is compared with a preset permeability coefficient classification threshold to determine an initial humidity weight;

[0090] In this step, the construction environment parameters refer to a set of environmental physical characteristic parameters directly related to the vibration operation during the construction of the concrete continuous beam, including permeability coefficient, wind speed, etc., which are used to quantify the influence of the external environment on the migration of water and temperature conduction during the vibration of the concrete. The permeability coefficient refers to the ability of the material to allow fluid (such as water) to pass through, and the unit is meter per second (m / s), which directly affects the ability of the concrete surface and internal moisture retention. The preset permeability coefficient grading threshold refers to the permeability coefficient range pre-set according to engineering experience, material properties or experimental data, which is used to divide the actually measured permeability coefficient values ​​into different levels (such as low, medium and high permeability), thereby quantifying the potential impact of the construction environment on the water migration ability during the concrete vibration process.

[0091] In an embodiment of the present invention, the permeability coefficient K value is extracted from the construction environment parameters directly related to the concrete vibration area through field tests or construction design documents, and the K value is compared with the preset permeability coefficient grading threshold (such as K<1e-6 for low permeability zone, 1e-6≤K≤1e-5 for medium permeability zone, and K>1e-5 for high permeability zone) to determine its grade, so as to assign an initial humidity weight (such as 0.4 for low permeability zone, 0.6 for medium permeability zone, and 0.8 for high permeability zone) according to the permeability coefficient grade through a predefined weight rule.

[0092] Step 312: Determine an initial temperature weight based on the thermal conductivity in the concrete mix parameters. When the concrete pouring thickness exceeds a set thickness, perform an attenuation correction on the initial temperature weight according to a preset thickness ratio to obtain a thickness attenuation correction value.

[0093] In this step, thermal conductivity refers to the material heat conduction capacity index extracted from the concrete mix parameters, which characterizes the rate at which unit thickness concrete transfers heat under unit temperature difference, and the unit is watt / (meter·degree Celsius) (W / (m·℃)), which determines the reference value of the temperature weight. The preset thickness ratio refers to the thickness correction rule set according to the depth of action of the vibrating equipment. For example, when the pouring thickness exceeds 1.5 times the depth of action of the equipment, the temperature weight is linearly attenuated by 10% for every 0.5 meter increase in thickness. The thickness attenuation correction value refers to the correction result after the initial temperature weight is proportionally reduced based on the actual pouring thickness of the concrete. The calculation formula is: thickness attenuation correction value = initial temperature weight × (1-thickness limit ratio × attenuation coefficient).

[0094] In an embodiment of the present invention, the thermal conductivity coefficient λ is extracted from the concrete mix parameters, and the initial temperature weight is set in inverse proportion to the λ value (e.g., the weight is 0.5 when λ=1.5, and the weight is 0.4 when λ=2.0); when it is detected that the pouring thickness exceeds 1.5 times the working depth of the equipment, the weight is corrected according to the rule of attenuating 5% for every 0.1m exceeding the limit, and a thickness attenuation correction value is obtained (e.g., the initial weight is 0.5, and the excess is 0.3m, the attenuation is 15%, and the weight after calculation is 0.425).

[0095] Step 313: collecting a target water seepage amount during the operation of the concrete vibrating equipment. When the target water seepage amount exceeds a preset water seepage amount, calculating a humidity weight compensation value based on the excess water seepage amount exceeding the preset water seepage amount.

[0096] In this step, the target water seepage refers to the total amount of water actually lost on the concrete surface and the surrounding environment during the operation of the concrete vibrating equipment, which is monitored in real time by the humidity sensor (unit: L / m 3 ), reflecting the water migration rate under vibration. The preset water seepage refers to the allowable water loss threshold (unit: L / m 3 ) is used to determine whether the humidity weight needs to be adjusted during the vibration process. The humidity weight compensation value refers to the weight correction value calculated based on the excess water volume when the target water seepage exceeds the preset water seepage volume. It is used to dynamically enhance the influence of the humidity parameter on the vibration intensity control.

[0097] In the embodiment of the present invention, during the operation of the concrete vibrating equipment, the amount of water loss per unit time due to the vibration is collected in real time, that is, the target water seepage amount Q实际 ; Then call the preset water seepage threshold Q from the construction control system 预设 , judge Q by threshold comparison algorithm 实际 Is it greater than Q 预设 If the compensation condition is triggered, the excess water seepage ΔQ=Q 实际 -Q 预设 (Excess water seepage = target water seepage minus preset water seepage), and based on the linear compensation rule, the excess water seepage ΔQ is divided by the preset water seepage Q 预设 The ratio is multiplied by the compensation coefficient k (usually k = 0.1 ~ 0.5k) to generate the humidity weight compensation value W 补偿 =k×(ΔQ / Q 预设 ).

[0098] Step 314: The initial humidity weight and the humidity weight compensation value are superimposed to obtain a final humidity weight, and the initial temperature weight and the thickness attenuation correction value are multiplied to obtain a final temperature weight.

[0099] In an embodiment of the present invention, for example, the initial humidity weight 0.8 is added to the humidity weight compensation value 0.2 to obtain a final humidity weight of 1.0; the initial temperature weight 0.425 is multiplied by the thickness attenuation correction value 0.85 to obtain a final temperature weight of 0.361.

[0100] For example, in the pouring of the tunnel side wall with a permeability coefficient of K = 2e-5 (high permeability zone), the initial moisture weight is set to 0.8; the concrete thermal conductivity λ = 1.8 corresponds to an initial temperature weight of 0.45, which decays to 0.38 due to the pouring thickness exceeding the limit by 0.3m; during construction, the target seepage rate Q = 8L / min (the preset seepage rate is 5L / min) is detected, and the calculated moisture weight compensation value is 0.3, resulting in a final moisture weight of 1.1;

[0101] The embodiment of the present invention overcomes the technical limitation that the traditional fixed weight model cannot adapt to the sudden change of water seepage and heat conduction delay in concrete continuous beam engineering through the dynamic setting of the initial weight of the permeability coefficient, real-time compensation and correction of water seepage, and weight attenuation mechanism linked with material properties and thickness. It solves the problem of insufficient vibration or overload caused by weight mismatch in high-humidity environment, and improves the control accuracy and equipment reliability under complex working conditions.

[0102] The present invention provides a specific embodiment, step 304, generating dynamic coupling parameters based on the correlation between the superposition result and preset dynamic parameters, wherein the preset dynamic parameters include a humidity change direction characteristic parameter and a temperature conduction delay coefficient, specifically comprising the following steps:

[0103] Step 321: Determine a humidity change direction flag value based on the attributes of the superposition result;

[0104] In this step, the attributes of the superposition result refer to the positive and negative sign characteristics of the values ​​calculated by weighted superposition of the temperature and humidity change rates, which are used to characterize the overall change direction of the environmental parameters. Positive values ​​indicate a coordinated trend of rising humidity and accelerated temperature conduction, while negative values ​​reflect a composite state of falling humidity and delayed temperature conduction. The humidity change direction mark value refers to the discretized directional coefficient assigned based on the positive and negative attributes of the superposition result, which is used to quantify the intensity and direction of the humidity change trend. The positive trend (superposition result ≥ 0) is marked as +1, the negative trend (superposition result < 0) is marked as -0.5, and non-sustained fluctuations are marked as 0.

[0105] In an embodiment of the present invention, a symbol analysis is performed on the superposition result. If the superposition result is continuously greater than zero and increasing, the humidity change direction mark value is determined to be +1; if it is continuously less than zero and decreasing, the humidity change direction mark value is determined to be -1; the remaining fluctuation states are marked as 0.

[0106] Step 322: Calculate the maximum temperature difference based on the temperature values ​​at the same acquisition time and at different depths inside the concrete in the temperature data, and calculate the temperature conduction delay influence factor based on the ratio of the maximum temperature difference to the acquisition time interval;

[0107] In this step, the maximum temperature difference refers to the absolute difference between the highest and lowest temperatures at different depths within the concrete at the same sampling moment. This reflects the spatial heterogeneity of the temperature field. For example, if the temperatures measured at 0.5m, 1.0m, and 1.5m along the vibration depth are 25°C, 28°C, and 30°C, respectively, the maximum temperature difference is 30°C - 25°C = 5°C. The temperature conduction delay impact factor is a composite parameter that characterizes the hysteresis effect of temperature changes. It is calculated by the ratio of the maximum temperature difference to the time interval between adjacent sampling times. Its physical meaning is the intensity of the change in the spatial distribution of the temperature gradient per unit time. A larger value indicates a more significant heat conduction delay effect.

[0108] In an embodiment of the present invention, the maximum temperature value and the minimum temperature value are extracted from the temperature values ​​at different depths at the same time, and the maximum temperature difference is calculated, that is, the maximum temperature value minus the minimum temperature value; the time interval between two adjacent acquisitions is obtained; the maximum temperature difference is divided by the acquisition time interval to calculate the temperature conduction delay factor, and the calculation range is all temperature measuring points within the effective radius of the vibrating equipment.

[0109] Step 323: multiplying the humidity change direction mark value by the superposition result to obtain a direction correction value;

[0110] In this step, the direction correction value refers to the correction parameter obtained by multiplying the humidity change direction mark value by the superposition result, which is used to strengthen or weaken the influence weight of the environmental parameter change trend. For example, when the superposition result is 0.6 and the mark value is +1, the direction correction value is 0.6×1=0.6; if the superposition result is -0.4 and the mark value is -0.5, the direction correction value is -0.4×(-0.5)=0.2.

[0111] In the embodiment of the present invention, the humidity change direction mark value (eg, +1) is multiplied by the superposition result (eg, 0.6) to obtain a direction correction value of 0.6 (0.6×1=0.6).

[0112] Step 324: performing a delay compensation operation on the direction correction value according to the temperature conduction delay influencing factor and the thermal conductivity in the concrete mix ratio parameters to generate a dynamic coupling parameter;

[0113] In an embodiment of the present invention, the compensation strength is adjusted according to the thermal conductivity in the concrete mix ratio parameters. First, the compensation amount is calculated, which is the temperature conduction delay influence factor × attenuation coefficient, where the attenuation coefficient is the product of the thermal conductivity and the adjustment coefficient. The adjustment coefficient is a constant. The larger the attenuation coefficient, the smaller the compensation amount. The material with better thermal conductivity has a smaller compensation amount. The direction correction value (0.6) is added to the compensation amount (e.g., 0.6×0.2=0.12) to generate a dynamic coupling parameter (e.g., 0.6+0.12=0.72).

[0114] For example, when pouring the tunnel vault, the superposition result increases three times in a row, and the humidity change direction mark value is determined to be +1. The maximum temperature difference at different depths at the same time is measured to be 3.5°C, the time interval is 3 minutes, and the delay factor is 3.5 / 3≈1.17. The calculated direction correction value is 1×0.8=0.8. Based on the thermal conductivity of 1.6 corresponding to the attenuation coefficient of 0.15, the compensation amount is calculated to be 1.17×0.15≈0.18, and the dynamic coupling parameter is calculated to be 0.8+0.18=0.98, triggering the high-frequency vibration mode.

[0115] The embodiments of the present invention solve the problem of inaccurate control instructions caused by ignoring the spatiotemporal coupling of temperature and humidity in traditional methods by strengthening trend characteristics through directional marking, quantifying the hysteresis of heat conduction through delay factors, and dynamically adjusting the compensation amount through material properties. This improves the vibration response accuracy under conditions of sudden water seepage and heat accumulation in concrete continuous beam projects, and avoids false triggering of equipment and defects such as insufficient concrete density.

[0116] The present invention provides a specific embodiment, step 324, performing a delay compensation operation on the direction correction value based on the temperature conduction delay influencing factor and the thermal conductivity in the concrete mix ratio parameters to generate a dynamic coupling parameter, specifically comprising the following steps:

[0117] Step 331: Setting a temperature conduction delay threshold;

[0118] In this step, the temperature conduction delay critical value refers to the threshold parameter used to determine the severity of the temperature conduction lag effect. It is set according to the experimental data of the thermal characteristics of the concrete continuous beam structure. When the temperature conduction delay impact factor exceeds this critical value, the nonlinear compensation mechanism is triggered.

[0119] In an embodiment of the present invention, based on the rated power of the device (such as 5kW) and the mixed thermal conductivity (such as 1.8W / m·K), the critical value is set to 1.2°C / min through experimental calibration. When the delay factor is lower than this value, a linear compensation mode is adopted, and when it is higher than this value, nonlinear compensation related to material properties is enabled.

[0120] Step 332: When the temperature conduction delay impact factor is less than the temperature conduction delay critical value, multiplying the direction correction value and the temperature conduction delay impact factor according to a preset first proportional relationship to obtain a first compensation value, and adding the first compensation value and the direction correction value to generate a dynamic coupling parameter;

[0121] In this step, the preset first proportional relationship refers to the linear correlation coefficient between the directional correction value and the delay impact factor in the low-temperature conduction delay scenario. This relationship, determined through calibration tests under typical operating conditions, quantifies the compensation strength for conventional delay. The first compensation value is the incremental directional correction value calculated based on the linear proportional relationship when the temperature conduction delay impact factor is less than the critical value. It represents the correction amount to be made to the dynamic coupling parameter by conventional thermal hysteresis.

[0122] In this embodiment of the present invention, when the temperature conduction delay impact factor is 0.8°C / min (less than the temperature conduction delay critical value of 1.2°C / min), a fixed proportional coefficient of 0.15 is taken to calculate the first compensation value: first compensation value = direction correction value × temperature conduction delay impact factor × fixed proportional coefficient. If the direction correction value is 2.5, the first compensation value is 2.5 × 0.8 × 0.15 = 0.3, and the final dynamic coupling parameter is 2.5 + 0.3 = 2.8.

[0123] Step 333: When the temperature conduction delay impact factor is greater than or equal to the temperature conduction delay critical value, the direction correction value is compensated according to the thermal conductivity and a preset second proportional relationship to obtain a second compensation value, and the second compensation value and the direction correction value are added to generate a dynamic coupling parameter;

[0124] In this step, the preset second proportional relationship refers to a nonlinear compensation rule that links the directional correction value with the thermal conductivity coefficient in high-delay scenarios. This rule dynamically adjusts the compensation strength based on the combined relationship between the concrete material's thermal conductivity and the delay factor. The second compensation value refers to the incremental directional correction value calculated based on the material's thermal conductivity when the temperature conduction delay influencing factor exceeds the critical value. This value reflects the need for enhanced correction of control parameters due to the heat accumulation effect under high-delay conditions.

[0125] In an embodiment of the present invention, when the temperature conduction delay influence factor is 1.5°C / min (exceeding the temperature conduction delay critical value of 1.2°C / min), the thermal conductivity of 1.6 W / m·K is obtained from the concrete mix ratio parameters, and the corresponding nonlinear attenuation index is found to be 1.5 by looking up the table. The delay compensation factor is calculated as (1.5-1.2)1.5≈0.13; assuming that the rated power of the concrete vibrating equipment is 5 kW, the power correlation coefficient is taken as , and the second compensation value is calculated as direction correction value × delay compensation factor × power correlation coefficient (for example, second compensation value = direction correction value × 0.13 × 0.04 = direction correction value × 0.0052); if the direction correction value is 2.5, the dynamic coupling parameter is 2.5+0.013=2.513.

[0126] The embodiments of the present invention achieve adaptive switching between linear and nonlinear compensation through critical value demarcation, and dynamically adjust the compensation strength in combination with the thermal conductivity of the material and the power of the equipment, thereby solving the defect that the traditional fixed compensation model cannot cope with the temperature gradient working conditions in the concrete continuous beam project, significantly improving the density and uniformity of the concrete in the heat accumulation area, and avoiding insufficient vibration or energy waste due to the delay effect.

[0127] The present invention provides a specific embodiment, step 104, performing fuzzy rule processing on the variation trend of the dynamic coupling parameter to generate a set of variable frequency control parameters adapted to the ambient temperature and humidity, specifically comprising the following steps:

[0128] Step 401: determining a trend mark value based on a change direction characteristic of the dynamic coupling parameter;

[0129] In this step, the directional characteristics of the dynamic coupling parameter change refer to the attributes that describe the increase or decrease trend of the dynamic coupling parameter over time. This is determined by the positive and negative sign changes in the values ​​of consecutive sampling points and is used to characterize the direction of environmental parameter evolution (e.g., a continuous increase in humidity or a decreasing temperature gradient). The trend marker value refers to a discrete classification label generated based on the directional characteristics of the dynamic coupling parameter change, including but not limited to state identifiers such as continuously positive, continuously negative, and fluctuating without trend. It is used to quantify the directional characteristics of the environmental dynamic characteristics.

[0130] In an embodiment of the present invention, a sliding window analysis is performed on the time series of the dynamic coupling parameters (window length = 10 sampling points). If 8 consecutive points in the window increase, it is marked as a strong upward trend; if 8 consecutive points decrease, it is marked as a strong downward trend; the rest are marked as fluctuating trends, and the trend mark value is finally determined.

[0131] Step 402: Classify the parameter change rate into levels according to the absolute value of the change in the dynamic coupling parameter and the preset temperature and humidity response interval division rule to obtain multiple change rate levels;

[0132] In this step, the preset temperature and humidity response interval division rules refer to parameter change grading standards based on the water seepage risk level of the concrete continuous beam project and the thermal conductivity characteristics of the concrete. These standards divide the absolute rate of change of the dynamic coupling parameter into several intervals (e.g., low, medium, and high response levels) to match control strategies for different operating conditions. The rate of change level refers to a discrete grading identifier (e.g., slow gradual change, medium fluctuation, and high sudden change) generated by comparing the absolute value of the parameter change with the preset intervals, reflecting the severity of the environmental parameter change.

[0133] In an embodiment of the present invention, the absolute value of the difference between the dynamic coupling parameters of two adjacent sampling windows is calculated and divided by the time interval to obtain the parameter change rate; the parameter change rate is classified into levels based on the preset interval division rules (such as low-speed gradual change area ≤0.1 / s, medium-speed fluctuation area 0.1-0.3 / s, and high-speed sudden change area >0.3 / s) to obtain multiple change rate levels.

[0134] Step 403: Based on the trend mark value and the change rate level, a set of vibration control parameters is generated through fuzzy rule mapping;

[0135] In this step, fuzzy rule mapping involves the process of mapping environmental dynamics into equipment control instructions by matching the decision logic for the optimal control parameter combination from a predefined rule base based on the combined characteristics of trend marker values ​​and change rate levels. The vibration control parameter set is a multi-dimensional group of control parameters, including amplitude adjustment coefficients, frequency steps, and duty cycle variation patterns, used to coordinately adjust the output characteristics of the vibration equipment.

[0136] In an embodiment of the present invention, when a strong upward trend + a high-speed mutation level is detected, the parameter group of the water seepage emergency mode in the fuzzy rule library is called (amplitude enhancement coefficient 1.2, frequency step increase step 5Hz / 5s, duty cycle pulse mode); if it is a fluctuation trend + a low-speed gradual change level, the parameter group of the steady-state fine-tuning mode is called (amplitude balance coefficient 1.05, constant frequency, duty cycle linear adjustment), and finally a vibration control parameter set is generated.

[0137] Step 404: Based on the rated output power of the concrete vibrating equipment, the vibration control parameter set is subjected to range constraint processing to generate a variable frequency control parameter set adapted to the ambient temperature and humidity.

[0138] In this step, range constraint processing refers to the process of setting safety boundary limits on the control parameters according to the rated power of the vibrating equipment, including amplitude upper limit truncation, frequency change rate limitation and duty cycle heat dissipation threshold control, to prevent equipment overload or material segregation.

[0139] In an embodiment of the present invention, the vibration control parameter set group is range-constrained according to the rated output power of the concrete vibrating equipment. The processing process includes proportionally scaling the amplitude enhancement factor / attenuation factor with the maximum allowable amplitude of the equipment; adjusting the frequency jump step / step decrease amount according to the equipment frequency regulation rate limit; limiting the duty cycle parameter to the equipment heat dissipation safety range (for example, if 5Hz / 5s exceeds the heat dissipation limit, it is reduced to 3Hz / 5s); and packaging the constrained parameters according to the amplitude, frequency, and duty cycle dimensions into a variable frequency control parameter set that meets the working condition limitations of the vibration equipment.

[0140] For example, when the permeability coefficient is 1e -5 In the high-permeability water formation, the dynamic coupling parameters showed a strong upward trend for 10 consecutive minutes, and the trend mark value was determined to be +2. The parameter change rate reached 0.35 / s, which was classified as a high-speed mutation level; the seepage emergency mode was triggered through fuzzy rule mapping, and a set of vibration control parameters was generated [amplitude coefficient 1.2, frequency step 5Hz / 5s, duty cycle pulse 50%]; after power constraint based on the rated output power of the equipment, a set of frequency conversion control parameters was generated [1.1 amplitude coefficient (upper limit), 4Hz / 5s (heat dissipation limit), 45% duty cycle], which drove the vibrator to operate in an enhanced mode adapted to the seepage flow rate.

[0141] The embodiment of the present invention breaks through the adaptability limitations of traditional threshold control strategies to complex working conditions of concrete continuous beam projects through trend-rate dual-dimensional feature analysis and dynamic matching of fuzzy rules. Combined with the feedback correction mechanism of equipment power constraints, it solves the industry problem of excessive or insufficient vibration energy input under sudden environmental changes, significantly improving the concrete density uniformity and construction process reliability.

[0142] The present invention provides a specific embodiment, step 102, performing nonlinear temperature compensation on the humidity data based on the temperature data to obtain compensated humidity data, specifically comprising the following steps:

[0143] Step 201: Based on the temperature measurement values ​​corresponding to different concrete depths in the temperature data, calculating the arithmetic mean of the temperature measurement values ​​as the ambient reference temperature;

[0144] In this step, the ambient reference temperature refers to the average temperature value calculated from the temperature measurement values ​​of temperature measurement points at different depths inside the concrete. It is used to characterize the overall thermal state of the current concrete structure and eliminate local deviations from single-point temperature measurement.

[0145] In this embodiment of the present invention, temperature data from three measurement points within the concrete vibrator's range—the shallow (5 cm), middle (15 cm), and deep (25 cm) layers—are taken. After removing outliers of ±2°C, the arithmetic mean is calculated. For example, the temperatures corresponding to three different depths (20°C, 23°C, and 25°C) are measured, and the calculated arithmetic mean is 22.67°C, which is used as the ambient reference temperature.

[0146] Step 202: selecting a corresponding nonlinear compensation curve segment according to the preset temperature range in which the ambient reference temperature is located;

[0147] In this step, the preset temperature ranges are defined based on common operating conditions in concrete continuous beam projects (e.g., low temperature, normal temperature, and high temperature). Each range corresponds to a different humidity compensation strategy to adapt to the sensor's nonlinear error characteristics at different temperatures. The nonlinear compensation curve segments are segmented compensation functions based on experimental calibration. Different correction rules are applied to different temperature ranges (e.g., positive compensation in low temperature zones and negative saturation compensation in high temperature zones) to eliminate humidity measurement distortion caused by sensor temperature drift and condensation.

[0148] In an embodiment of the present invention, the temperature T is divided into three intervals: low temperature (<10°C), normal temperature (10-40°C), and high temperature (>40°C). For the low temperature interval (T<10°C), the first segmented broken line approximation method is used to perform positive offset compensation on the original humidity measurement value; for the normal temperature interval (10°C≤T≤40°C), the second segmented broken line approximation method is used to decrease the compensation intensity according to the temperature increase ratio; for the high temperature interval (T>40°C), the third segmented broken line approximation method is used to perform negative saturation compensation on the original humidity measurement value; for example, when the ambient reference temperature is 22.67°C, it is in the normal temperature interval, and the second segmented function is called to calculate the compensation coefficient, and the compensation coefficient = 1-0.015×(T-10).

[0149] Step 203: Calculating a humidity compensation coefficient based on the nonlinear compensation curve segment, and multiplying the original humidity measurement value in the humidity data by the humidity compensation coefficient to obtain compensated humidity data;

[0150] In this step, the humidity compensation coefficient refers to the proportional factor calculated based on the ambient reference temperature and the corresponding nonlinear compensation curve segment. It is used to dynamically correct the raw humidity measurement value (for example, the compensation coefficient is greater than 1 at low temperatures and less than 1 at high temperatures). The raw humidity measurement value refers to the direct output value of the capacitive humidity sensor without temperature compensation. Because the sensor's sensitive element is affected by temperature, there are inherent deviations (for example, condensation in high temperature and high humidity can lead to false high values).

[0151] In this embodiment of the present invention, when the ambient reference temperature is 22.67°C, which is within the normal temperature range, the second piecewise function is called to calculate the compensation coefficient based on the second piecewise function. That is, 1-0.015×(22.67-10)=0.775. The original humidity measurement value of 92%×0.775=71.3% is output as the compensated temperature data.

[0152] The embodiment of the present invention calculates the ambient reference temperature by averaging the temperatures at multiple depths and dynamically corrects the humidity data using a piecewise nonlinear compensation model. This overcomes the problem of sensor condensation error accumulation caused by traditional linear compensation at a single temperature point, solves the humidity measurement distortion caused by heat conduction lag in high-humidity environments, and improves the accuracy of environmental parameter acquisition and the reliability of control instructions.

[0153] Figure 2 The present invention provides a structural diagram of a dynamic adjustment system for concrete vibration strength based on ambient temperature and humidity and fuzzy control, as shown in FIG. Figure 2 As shown, the system includes:

[0154] The acquisition module 21 is used to collect humidity data on the concrete surface and its surroundings and temperature data inside the concrete;

[0155] a compensation module 22 for performing nonlinear temperature compensation on the humidity data based on the temperature data to obtain compensated humidity data;

[0156] A calculation module 23 is configured to perform weighted superposition calculation on the humidity gradient change rate of the compensated humidity data and the temperature gradient change rate of the temperature data to generate a dynamic coupling parameter;

[0157] a processing module 24 for performing fuzzy rule processing on the variation trend of the dynamic coupling parameter to generate a set of variable frequency control parameters adapted to the ambient temperature and humidity, the set of variable frequency control parameters including adjustment parameters corresponding to the amplitude, frequency, and duty cycle of the concrete vibrating equipment;

[0158] The adjustment module 25 is used to adjust the output power of the concrete vibrating equipment according to the frequency conversion control parameter set, so that the vibration intensity of the concrete vibrating equipment can be adjusted in real time as the ambient temperature and humidity change.

[0159] Figure 2 The concrete vibration strength dynamic adjustment system based on ambient temperature and humidity and fuzzy control can be executed Figure 1 The implementation principle and technical effects of the method for dynamically adjusting the concrete vibration intensity based on ambient temperature, humidity, and fuzzy control described in the illustrated embodiment will not be elaborated on here. The specific manner in which each module and unit performs operations in the system for dynamically adjusting the concrete vibration intensity based on ambient temperature, humidity, and fuzzy control in the above embodiment has been described in detail in the embodiments of the method and will not be elaborated on here.

[0160] In one possible design, Figure 2 The embodiment shown is a dynamic adjustment system for concrete vibration strength based on ambient temperature and humidity and fuzzy control, which can be implemented as a computing device, such as Figure 3 As shown, the computing device may include a storage component 31 and a processing component 32;

[0161] The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32 .

[0162] The processing component 32 is used to: collect humidity data on the concrete surface and its surroundings and temperature data inside the concrete; perform nonlinear temperature compensation on the humidity data based on the temperature data to obtain compensated humidity data; perform weighted superposition calculation on the humidity gradient change rate of the compensated humidity data and the temperature gradient change rate of the temperature data to generate dynamic coupling parameters; perform fuzzy rule processing on the change trend of the dynamic coupling parameters to generate a set of variable frequency control parameters adapted to the ambient temperature and humidity, the set of variable frequency control parameters including adjustment parameters corresponding to the amplitude, frequency and duty cycle of the concrete vibrating equipment; and adjust the output power of the concrete vibrating equipment according to the set of variable frequency control parameters so that the vibration intensity of the concrete vibrating equipment can be adjusted in real time with changes in the ambient temperature and humidity.

[0163] The processing component 32 may include one or more processors to execute computer instructions to perform all or part of the steps in the above method. Of course, the processing component may also be implemented as one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above method.

[0164] The storage component 31 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile memory device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0165] Of course, a computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0166] The input / output interface provides an interface between the processing component and the peripheral interface module, which can be an output device, an input device, etc.

[0167] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0168] Among them, the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. In this case, the computing device can refer to a cloud server, and the above-mentioned processing components, storage components, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0169] The embodiment of the present invention further provides a computer storage medium storing a computer program, which can achieve the above-mentioned Figure 1 The embodiment shown is a method for dynamically adjusting the concrete vibration strength based on ambient temperature and humidity and fuzzy control.

[0170] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0171] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0172] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0173] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for dynamic adjustment of concrete vibration strength based on ambient temperature and humidity and fuzzy control, characterized in that: include: Collect humidity data on the concrete surface and surrounding areas and temperature data inside the concrete; Based on the temperature data, performing nonlinear temperature compensation on the humidity data to obtain compensated humidity data; Performing weighted superposition calculation on the humidity gradient change rate of the compensated humidity data and the temperature gradient change rate of the temperature data to generate a dynamic coupling parameter; Performing fuzzy rule processing on the variation trend of the dynamic coupling parameter to generate a set of variable frequency control parameters adapted to the ambient temperature and humidity, the set of variable frequency control parameters including adjustment parameters corresponding to the amplitude, frequency, and duty cycle of the concrete vibrating equipment; The output power of the concrete vibrating equipment is adjusted according to the frequency conversion control parameter set, so that the vibration intensity of the concrete vibrating equipment can be adjusted in real time as the ambient temperature and humidity change.

2. The method according to claim 1, characterized in that The humidity gradient change rate of the compensated humidity data and the temperature gradient change rate of the temperature data are weighted and superimposed to generate dynamic coupling parameters, including: Calculating humidity differences between adjacent acquisition times based on the compensated humidity data, and determining a humidity change rate per unit time according to the humidity differences; Based on the temperature values ​​at the same collection time and at different depths inside the concrete in the temperature data, determine the absolute value of the difference between the highest temperature value and the lowest temperature value in the depth direction of the concrete vibrating equipment, and determine the temperature change rate per unit time in combination with the collection time interval; According to the construction environment parameters, a final humidity weight corresponding to the humidity change rate is set, and according to the concrete mix ratio parameters, a final temperature weight corresponding to the temperature change rate is set, and the humidity change rate and the temperature change rate are multiplied by the corresponding weights and then superimposed to obtain a superposition result; Dynamic coupling parameters are generated according to the correlation between the superposition result and preset dynamic parameters, where the preset dynamic parameters include a humidity change direction characteristic parameter and a temperature conduction delay coefficient.

3. The method according to claim 2, characterized in that According to the construction environment parameters, the final humidity weight corresponding to the humidity change rate is set, and according to the concrete mix ratio parameters, the final temperature weight corresponding to the temperature change rate is set, including: According to the permeability coefficient in the construction environment parameters, the permeability coefficient is compared with a preset permeability coefficient classification threshold to determine an initial humidity weight; Based on the thermal conductivity in the concrete mix ratio parameters, an initial temperature weight is determined. When the concrete pouring thickness exceeds the set thickness, the initial temperature weight is attenuated and corrected according to the preset thickness ratio to obtain a thickness attenuation correction value. collecting a target water seepage amount during the operation of the concrete vibrating equipment, and when the target water seepage amount exceeds a preset water seepage amount, calculating a moisture weight compensation value based on the excess water seepage amount exceeding the preset water seepage amount; The initial humidity weight and the humidity weight compensation value are superimposed to obtain a final humidity weight, and the initial temperature weight and the thickness attenuation correction value are multiplied to obtain a final temperature weight.

4. The method according to claim 2, characterized in that Generate dynamic coupling parameters based on the correlation between the superposition result and preset dynamic parameters, wherein the preset dynamic parameters include humidity change direction characteristic parameters and temperature conduction delay coefficient, including: Determining a humidity change direction mark value based on the attributes of the superposition result; Calculating a maximum temperature difference based on temperature values ​​at different depths inside the concrete at the same acquisition time in the temperature data, and calculating a temperature conduction delay influence factor based on a ratio of the maximum temperature difference to the acquisition time interval; Multiplying the humidity change direction mark value by the superposition result to obtain a direction correction value; According to the temperature conduction delay influencing factor and the thermal conductivity in the concrete mix ratio parameter, a delay compensation operation is performed on the direction correction value to generate a dynamic coupling parameter.

5. The method according to claim 4, characterized in that According to the temperature conduction delay influencing factor and the thermal conductivity in the concrete mix ratio parameter, a delay compensation operation is performed on the direction correction value to generate a dynamic coupling parameter, including: Set the temperature conduction delay threshold; When the temperature conduction delay impact factor is less than the temperature conduction delay critical value, multiplying the direction correction value and the temperature conduction delay impact factor according to a preset first proportional relationship to obtain a first compensation value, and adding the first compensation value and the direction correction value to generate a dynamic coupling parameter; When the temperature conduction delay influence factor is greater than or equal to the temperature conduction delay critical value, the direction correction value is compensated according to the thermal conductivity and a preset second proportional relationship to obtain a second compensation value, and the second compensation value and the direction correction value are added to generate a dynamic coupling parameter.

6. The method according to claim 1, characterized in that The change trend of the dynamic coupling parameter is processed by fuzzy rules to generate a set of variable frequency control parameters adapted to the ambient temperature and humidity, including: determining a trend marker value based on a change direction characteristic of the dynamic coupling parameter; According to the absolute value of the change of the dynamic coupling parameter and the preset temperature and humidity response interval division rule, the parameter change rate is divided into levels to obtain multiple change rate levels; Based on the trend mark value and the change rate level, generating a set of vibration control parameters through fuzzy rule mapping; According to the rated output power of the concrete vibrating equipment, the vibration control parameter set group is range-constrained to generate a frequency conversion control parameter set adapted to the ambient temperature and humidity.

7. The method according to claim 1, characterized in that Based on the temperature data, nonlinear temperature compensation is performed on the humidity data to obtain compensated humidity data, including: Calculating, based on the temperature measurement values ​​corresponding to different concrete depths in the temperature data, an arithmetic mean of the temperature measurement values ​​as an environmental reference temperature; Selecting a corresponding nonlinear compensation curve segment according to a preset temperature range in which the ambient reference temperature is located; Based on the nonlinear compensation curve segment, a humidity compensation coefficient is calculated, and the original humidity measurement value in the humidity data and the humidity compensation coefficient are multiplied to obtain compensated humidity data.

8. A dynamic adjustment system for concrete vibration strength based on ambient temperature and humidity and fuzzy control, characterized in that: include: The acquisition module is used to collect humidity data on the concrete surface and its surroundings and temperature data inside the concrete; a compensation module, configured to perform nonlinear temperature compensation on the humidity data based on the temperature data to obtain compensated humidity data; a calculation module, configured to perform weighted superposition calculation on the humidity gradient change rate of the compensated humidity data and the temperature gradient change rate of the temperature data to generate a dynamic coupling parameter; a processing module for performing fuzzy rule processing on a variation trend of the dynamic coupling parameter to generate a set of variable frequency control parameters adapted to the ambient temperature and humidity, the set of variable frequency control parameters including adjustment parameters corresponding to the amplitude, frequency, and duty cycle of the concrete vibrating equipment; The adjustment module is used to adjust the output power of the concrete vibrating equipment according to the frequency conversion control parameter set, so that the vibration intensity of the concrete vibrating equipment can be adjusted in real time as the ambient temperature and humidity change.

9. A computing device, characterized in that It includes a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a dynamic adjustment method for concrete vibration strength based on ambient temperature, humidity and fuzzy control as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that A computer program is stored, and when the computer program is executed by a computer, a method for dynamically adjusting the concrete vibration strength based on ambient temperature and humidity and fuzzy control as described in any one of claims 1 to 7 is implemented.

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