Inorganic binder stirring test method and stirring test device

Abstract

The invention discloses an inorganic binder stirring test method and a stirring test device, and relates to the technical field of inorganic binder detection. The inorganic binder stirring test method compares and analyzes the homogeneity of the inorganic binder after stirring at the sampling time point with the expected homogeneity corresponding to the time point, and is completed by comparing the physical properties or chemical properties of the sample to determine whether the expected homogeneity level has been reached. According to the homogeneity comparison and analysis results, the initial stirring speed of the stirring test device is adjusted. If the homogeneity after stirring does not match the expected homogeneity, the stirring speed is gradually adjusted to achieve real-time monitoring and adjustment of the homogeneity of the inorganic binder during the stirring process, thereby adjusting the stirring speed of the stirring test device, providing a basis for the subsequent measurement of cement dosage in the inorganic binder. During the stirring process, sampling is performed regularly to obtain the homogeneity of the inorganic binder after stirring to determine the uniformity of the material.

Description

Technical Field

[0001] The invention relates to the technical field of inorganic binder detection, in particular to an inorganic binder stirring test method and a stirring test device. Background Art

[0002] The cement dosage in the inorganic binder is an important factor that determines the quality of the inorganic binder and can directly affect the quality of the project. During the construction of the cement base, it is generally necessary to test the cement dosage in the inorganic binder by EDTA titration to avoid hidden dangers to the quality of the project construction.

[0003] Before the EDTA titration method is performed, the inorganic binder needs to be stirred, which can promote the contact between the cement particles and the reagents in the solution, help ensure the uniform distribution of the components in the sample, avoid the influence of local concentration differences on the analysis results, and ensure that the cement in the inorganic binder is fully dissolved or suspended in the solution to facilitate the subsequent titration analysis. Stirring accelerates the reaction rate, thereby improving the accuracy and repeatability of the analysis. Therefore, stirring before the EDTA titration method is to ensure that the cement in the sample is fully dissolved or suspended and provide the necessary conditions for accurate analysis.

[0004] In the prior art, stirring of inorganic binders is usually performed using a stirring experimental device, and the stirring time and stirring speed are set. In particular, the stirring speed is inconvenient to adjust according to the actual homogeneity of the inorganic binder during the stirring process, resulting in the inorganic binder not being completely stirred after the stirring time is over, affecting the subsequent EDTA titration experiment. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an inorganic binder stirring test method and a stirring test device, which solves the problem that the stirring speed is inconvenient to adjust according to the actual homogeneity of the inorganic binder during the stirring process, resulting in the inorganic binder may not be completely stirred evenly after the stirring time is over, affecting the subsequent EDTA titration experiment.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an inorganic binder stirring test method, comprising the following steps: controlling a stirring test device to stir the inorganic binder based on initial operation data, wherein the initial operation data includes an initial stirring speed and an expected stirring time; obtaining the homogeneity of the inorganic binder after stirring at a sampling time point, and comparing and analyzing the homogeneity of the inorganic binder after stirring at the sampling time point with the expected homogeneity corresponding to the sampling time point to obtain a homogeneity comparison analysis result; adjusting the initial stirring speed of the stirring test device based on the homogeneity comparison analysis result so that the homogeneity after stirring reaches the expected homogeneity at the next sampling time point at the next sampling time point.

[0007] Furthermore, the process of obtaining the homogeneity of the inorganic binder after stirring at the sampling time point is as follows: obtaining the sensor data at the sampling time point based on the detection sensor; analyzing the sensor data at the sampling time point to obtain the physical property data set of the inorganic binder after stirring at the sampling time point; and performing fusion analysis on the physical property data set of the inorganic binder after stirring based on the homogeneity analysis model to obtain the homogeneity of the inorganic binder after stirring at the sampling time point.

[0008] Furthermore, the physical property data set serves as an analytical basis for obtaining the homogeneity of the inorganic binder after stirring at the sampling time point, and the physical property data set includes turbidity detection value, density detection value, temperature detection value, conductivity detection value, refractive index detection value, and sound wave propagation speed detection value of the inorganic binder after stirring at the sampling time point.

[0009] Furthermore, the process of fusion analysis of the physical property data set of the stirred inorganic binder based on the homogeneity analysis model is as follows: the physical property data set is scalar processed to obtain a scalar physical property data set, wherein the scalar physical property data set includes a turbidity scalar value, a density scalar value, a temperature scalar value, a conductivity scalar value, a refractive index scalar value, and a sound wave propagation velocity scalar value; the homogeneity analysis model analyzes the scalar physical property data set to obtain the homogeneity of the inorganic binder after stirring at the sampling time point; the constraint formula for calculating the homogeneity of the inorganic binder after stirring at the sampling time point by the homogeneity analysis model is:

[0010]

[0011] Wherein, JZd is the homogeneity of the inorganic binder after stirring at the sampling time point, Zd is the turbidity pure value, Zds is the parameterized turbidity pure value of the inorganic binder after stirring at the sampling time point, α1 is the turbidity weight coefficient, Md is the density pure value, α2 is the density weight coefficient, Td is the temperature pure value, Tdy is the parameterized temperature pure value of the inorganic binder after stirring at the sampling time point, α3 is the temperature weight coefficient, Nd is the viscosity characteristic reference value, which is obtained by the fusion analysis of the conductivity pure value, the refractive index pure value and the sound wave propagation velocity pure value, α4 is the viscosity characteristic reference value weight coefficient, and ε is a constant term.

[0012] Furthermore, the homogeneity comparison analysis result includes qualified homogeneity at the sampling time point, homogeneity requiring warning at the next sampling time point, and unqualified homogeneity at the sampling time point, wherein: when the homogeneity comparison analysis result is that the homogeneity at the sampling time point is qualified, it means: the difference between the homogeneity of the inorganic binder after stirring at the sampling time point and the expected homogeneity corresponding to the sampling time point is not less than 0; when the homogeneity comparison analysis result is that the homogeneity at the next sampling time point requires warning, it means: the difference between the homogeneity of the inorganic binder after stirring at the sampling time point and the expected homogeneity corresponding to the sampling time point is less than 0 and greater than the set threshold value for adjusting the stirring speed of the stirring test device; when the homogeneity comparison analysis result is that the homogeneity at the sampling time point is unqualified, it means: the difference between the homogeneity of the inorganic binder after stirring at the sampling time point and the expected homogeneity corresponding to the sampling time point is less than or equal to the set threshold value for adjusting the stirring speed of the stirring test device.

[0013] Furthermore, the process of adjusting the initial stirring speed of the stirring test device based on the homogeneity comparison analysis result is as follows: when the homogeneity comparison analysis result shows that the homogeneity at the sampling time point is qualified, the initial stirring speed of the stirring test device is not adjusted; when the homogeneity comparison analysis result shows that the homogeneity at the next sampling time point needs to be warned, the initial stirring speed of the stirring test device is not adjusted but a homogeneity unqualified warning is issued; when the homogeneity comparison analysis result shows that the homogeneity at the sampling time point is unqualified, the inorganic binder parameter set and the stirring mechanism data set are obtained, and the inorganic binder parameter set and the stirring mechanism data set are fused and analyzed based on the established speed adjustment model to obtain the adjusted stirring speed scalar value.

[0014] Furthermore, the inorganic binder parameter set includes the mass of the inorganic binder wet material, the volume of the 10% ammonium chloride solution and the expected homogeneity at the next sampling time point; the stirring mechanism data set includes the total time from the start of stirring of the stirring test device to the next sampling time point, the blade area, the blade spacing, the blade inclination angle and the shear force between the blade and the inorganic binder.

[0015] Further, based on the established speed adjustment model, the inorganic binder parameter set and the stirring mechanism data set are fused and analyzed to obtain the adjusted stirring speed scalar value. The process is as follows: the inorganic binder parameter set and the stirring mechanism data set are scalarly processed to obtain the scalar inorganic binder parameter set and the scalar stirring mechanism data set, wherein the scalar inorganic binder parameter set includes the scalar value of the inorganic binder wet material mass, the scalar value of the 10% ammonium chloride solution volume and the expected homogeneity scalar value at the next sampling time point, and the scalar stirring mechanism data set includes the scalar value of the total time from the start of stirring of the stirring test device to the next sampling time point, the scalar value of the blade area, the scalar value of the blade spacing, the scalar value of the blade inclination angle and the scalar value of the shear force between the blade and the inorganic binder; the scalar inorganic binder parameter set and the scalar stirring mechanism data set are input into the established speed adjustment model to output the adjusted stirring speed scalar value, and the calculation formula of the adjusted stirring speed scalar value is:

[0016]

[0017] Wherein, Vt is the scalar value of the adjusted stirring speed, γ1 is the weight coefficient of the scalar value of the adjusted stirring speed, JZx is the scalar value of the expected homogeneity at the next sampling time point, Ty is the scalar value of the total time from the start of stirring in the stirring test device to the next sampling time point, Jm is the scalar value of the blade area, Jn is the scalar value of the blade spacing, Jd is the scalar value of the blade inclination angle, Jq is the scalar value of the shear force between the blade and the inorganic binder, f(Jm, Jn, Jd, Jq) is the calculation function of the scalar value of the blade area, the scalar value of the blade spacing, the scalar value of the blade inclination angle and the scalar value of the shear force between the blade and the inorganic binder, γ3 is the weight coefficient of the value of the calculation function f(Jm, Jn, Jd, Jq), Ms is the scalar value of the wet material mass of the inorganic binder, is the volume pure value of 10% ammonium chloride solution, e is a natural constant, and δ is the constant term modulation factor.

[0018] A device for testing stirring an inorganic binder, comprising a sample container, a support seat, an adjustment frame and a stirring mechanism, the device also comprising a processor, the processor being capable of executing the method for testing stirring an inorganic binder; the support seat is hinged to the adjustment frame, the sample container is used to be placed on the surface of the support seat, the surface of the adjustment frame is provided with a protective cover, the surface of the support seat is provided with a timer; the stirring mechanism is arranged at the bottom of the adjustment frame through a driving motor, when the sample container is placed on the surface of the support seat, the adjustment frame enables the stirring mechanism to enter the interior of the sample container for stirring; the stirring mechanism comprises a stirring rod and a paddle, the stirring rod is connected to the output shaft of the driving motor, the paddle is fixedly connected to the surface of the stirring rod, a sensor module is fixed to the surface of the stirring rod, the sensor module is used to obtain turbidity detection values, density detection values, temperature detection values, conductivity detection values, refractive index detection values, and sound wave propagation speed detection values.

[0019] Furthermore, the sensing module includes a turbidity sensor, a density sensor, a temperature sensor, a conductivity sensor, a refractive index sensor, and a sound wave propagation velocity sensor. The turbidity sensor is used to obtain a turbidity detection value, the density sensor is used to obtain a density detection value, the temperature sensor is used to obtain a temperature detection value, the conductivity sensor is used to obtain a conductivity detection value, the refractive index sensor is used to obtain a refractive index detection value, and the sound wave propagation velocity sensor is used to obtain a sound wave propagation velocity detection value.

[0020] The present invention has the following beneficial effects:

[0021] The inorganic binder stirring test method and stirring test device compare and analyze the homogeneity of the inorganic binder after stirring at the sampling time point with the expected homogeneity corresponding to the time point, and this is done by comparing the physical characteristics or chemical properties of the sample to determine whether the expected homogeneity level has been reached. According to the homogeneity comparison analysis results, the initial stirring speed of the stirring test device is adjusted. If the homogeneity after stirring does not match the expected homogeneity, the stirring speed can be gradually adjusted to reach the expected level. The homogeneity of the inorganic binder can be monitored and adjusted in real time during the stirring process, thereby adjusting the stirring speed of the stirring test device, thereby providing a basis for the subsequent measurement of the cement dosage in the inorganic binder. During the stirring process, sampling is performed regularly to obtain the homogeneity of the inorganic binder after stirring to determine the uniformity of the material.

[0022] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 The present invention is a flow chart of the inorganic binder stirring test method.

[0024] Figure 2 It is a structural diagram of the inorganic binder stirring test device of the present invention.

[0025] In the figure, 1. sample container; 2. support base; 3. adjustment frame; 4. protective cover; 5. timer; 6. stirring rod; 7. paddle; 8. sensor module. DETAILED DESCRIPTION

[0026] The embodiment of the present application uses an inorganic binder stirring test method to achieve real-time monitoring and adjustment of the homogeneity of the inorganic binder during the stirring process, thereby adjusting the stirring speed of the stirring test device, thereby providing a basis for the subsequent measurement of the cement dosage in the inorganic binder.

[0027] Prepare 5 kinds of samples, 2 samples of each kind (taking cement stabilized material as an example). If it is cement stabilized medium and coarse-grained material, take about 1000g of each sample (if it is fine-grained material, weigh about 300g) to prepare for the test. In order to reduce the dispersion of medium and coarse-grained materials, it is advisable to prepare the materials in a single-portion blending method according to the designed gradation.

[0028] The cement dosage of the five mixtures should be: 0, optimal cement dosage, ±2% and +4% of the optimal cement dosage. Take two samples (wet weight) for each dosage, a total of 10 samples, and place them in 10 large-mouth polyethylene barrels (for stabilizing fine-grained materials, use enamel cups or 1000mL stoppered triangular flasks; for coarse-grained materials, use 5L large-mouth polyethylene barrels). The moisture content of the stabilized material should be equal to the optimal moisture content expected to be achieved on the construction site, and the water added to the stabilized material should be the same as the water used on the construction site.

[0029] Take a sample container containing the sample, and add 10% ammonium chloride solution of twice the sample mass (wet material mass) volume into the sample container (if the wet material mass is 300g, then the ammonium chloride solution is 600mL; if the wet material weight is 1000g, then the ammonium chloride solution is 2000mL). If the material is 300g, stir for 3min (110-120 times per minute); if the material is 1000g, stir for 5min. If a 1000mL stoppered conical flask is used, hold the conical flask (bottom of the flask upward) and shake vigorously for 3min (120 times ± 5 times per minute) instead of stirring with a stirring rod. Let it settle for 10min, then transfer the upper clear liquid to a 300mL beaker, stir well, and cover with a watch glass for testing.

[0030] Use a pipette to draw 10.0mL of the upper layer (10-20mm below the liquid surface) of the suspension into a 200ml conical flask, use a measuring cylinder to measure 50mL of 1.8% sodium hydroxide (containing triethanolamine) solution and pour it into the conical flask. At this time, the pH value of the solution is 12.5-13.0 (can be tested with pH12-14 precision test paper), then add calcium red indicator (mass is about 0.2g), shake well, and the solution will be rose red. Record the volume V1 of the disodium EDTA standard solution in the burette, then titrate with the disodium EDTA standard solution, shake well while titrating, and carefully observe the color of the solution: when the color of the solution turns purple, slow down the titration speed and shake well; until the pure blue is the end point, record the volume V2 of the disodium EDTA standard solution in the burette (in mL, read to 0.1mL). Calculate V1-V2,, which is the consumption of the disodium EDTA standard solution.

[0031] Test the samples in the other sample containers in the same way and record the consumption of each disodium EDTA standard solution. Use the average consumption (mL) of the sodium EDTA standard solution of the same cement or lime dosage as the ordinate and the cement or lime dosage (%) as the abscissa to draw a graph. The relationship between the two should be a smooth curve.

[0032] In order to accurately obtain the consumption of disodium EDTA standard solution, the inorganic binder needs to be fully stirred to achieve the required uniformity.

[0033] In order to solve the problems in the embodiments of the present application, the overall idea is as follows:

[0034] First, based on previous experience or experimental data, determine the initial stirring speed and expected stirring time, which will be used as initial parameters for controlling the stirring test device. Based on the initial operation data, control the stirring test device to stir the inorganic binder. During the stirring process, samples are taken regularly to obtain the homogeneity of the inorganic binder after stirring to determine the uniformity of the material.

[0035] The homogeneity of the inorganic binder after stirring at the sampling time point is compared with the expected homogeneity corresponding to the time point, which is completed by comparing the physical characteristics or chemical properties of the sample to determine whether the expected homogeneity level has been achieved. According to the results of the homogeneity comparison analysis, the initial stirring speed of the stirring test device is adjusted. If the homogeneity after stirring does not match the expected homogeneity, the stirring speed can be gradually adjusted to achieve the expected level.

[0036] After adjustments are made, monitoring and sampling continue, and further analysis and adjustments are made based on new data. This process can be iterated multiple times until the desired level of homogeneity is achieved.

[0037] See also Figure 1 The embodiment of the present invention provides a technical solution: an inorganic binder stirring test method, comprising the following steps: controlling a stirring test device to stir the inorganic binder based on initial operation data, the initial operation data including an initial stirring speed and an expected stirring time; obtaining the homogeneity of the inorganic binder after stirring at a sampling time point, and comparing and analyzing the homogeneity of the inorganic binder after stirring at the sampling time point with the expected homogeneity corresponding to the sampling time point to obtain a homogeneity comparison analysis result; adjusting the initial stirring speed of the stirring test device based on the homogeneity comparison analysis result, so that the homogeneity after stirring reaches the expected homogeneity at the next sampling time point at the next sampling time point.

[0038] During the stirring process, samples are taken regularly and their homogeneity is measured, and then compared with the expected homogeneity. Based on the comparison results, the stirring speed of the stirring device is adjusted so that the homogeneity at the next sampling time point reaches the expected level.

[0039] It allows real-time monitoring and adjustment of parameters during the mixing process to ensure that the product maintains a consistent quality level during the production process. By dynamically adjusting the mixing parameters, it avoids waste of resources caused by excessive or insufficient mixing during the production process, and can maintain a stable homogeneity of the inorganic binder, ensuring that the quality of the final product meets the expected standards and reduces the rate of defective products.

[0040] Specifically, the process of obtaining the homogeneity of the inorganic binder after stirring at the sampling time point is as follows: obtaining the sensor data at the sampling time point based on the detection sensor; analyzing the sensor data at the sampling time point to obtain the physical property data set of the inorganic binder after stirring at the sampling time point; performing fusion analysis on the physical property data set of the inorganic binder after stirring based on the homogeneity analysis model to obtain the homogeneity of the inorganic binder after stirring at the sampling time point.

[0041] The physical property data set serves as an analytical basis for obtaining the homogeneity of the inorganic binder after stirring at the sampling time point. The physical property data set includes the turbidity detection value, density detection value, temperature detection value, conductivity detection value, refractive index detection value, and sound wave propagation speed detection value of the inorganic binder after stirring at the sampling time point.

[0042] In this embodiment, the sensor data at the sampling time point is obtained by detecting the sensor. The sensor data includes the turbidity detection value, density detection value, temperature detection value, conductivity detection value, refractive index detection value, and sound wave propagation speed detection value of the inorganic binder after stirring. These data can reflect the changes in the physical properties of the inorganic binder during the stirring process.

[0043] The sensor data at the sampling time point is analyzed to obtain a physical property data set. The homogeneity analysis model is used to integrate and analyze the various physical property data to obtain the homogeneity of the inorganic binder after stirring at the sampling time point.

[0044] By collecting a variety of physical property data, we can fully understand the homogeneity of inorganic binders, avoiding the limitation of relying on a single indicator for analysis. In addition, by using multiple physical property data for fusion analysis, we can improve the accurate assessment of the homogeneity of inorganic binders and enhance the credibility of the analysis results. In addition, recording and analyzing the physical property data at the sampling time point can provide reliable data support for the traceability of the stirring experiment process, help solve quality problems and improve the stirring experiment process.

[0045] Specifically, the process of fusion analysis of the physical property data set of the stirred inorganic binder based on the homogeneity analysis model is as follows: the physical property data set is scalar processed to obtain a scalar physical property data set, and the scalar physical property data set includes turbidity scalar value, density scalar value, temperature scalar value, conductivity scalar value, refractive index scalar value, and sound wave propagation speed scalar value. The scalar in scalar processing refers to a physical quantity with only size but no direction. In mathematics, scalar processing involves arithmetic operations on pure numbers (i.e., values ​​without units or directions) without considering the direction or size of the vector. In computer science, scalar processing may refer to operations on scalar data without involving vector or matrix calculations. In physics, scalar processing refers to processing the size of physical quantities without considering their direction or vector properties. In general, scalar processing refers to the process of processing physical quantities or data with only size but no direction.

[0046] The homogeneity analysis model analyzes the scalar physical property data set to obtain the homogeneity of the inorganic binder after stirring at the sampling time point. The homogeneity analysis model can use various statistical or machine learning algorithms to build models to explore the relationship between the scalar physical property data and homogeneity, such as decision trees and random forests, which can handle nonlinear relationships and have a good ability to capture the interaction between the physical property data set and the homogeneity characteristics, and can provide an intuitive understanding of the impact of physical property data on homogeneity. In addition, deep neural networks can also be used to learn the relationship between the physical property data set and the homogeneity characteristics, and predict homogeneity based on the physical property data set.

[0047] First, the sensors are used to obtain various physical property data of the inorganic binder after stirring, such as turbidity, density, temperature, conductivity, refractive index, and sound wave propagation velocity from the sampling points. Then, these physical property data are processed scalarly, that is, only the size of the data is retained without considering the directionality. The scalar physical property data sets obtained by this processing include turbidity scalar value, density scalar value, temperature scalar value, conductivity scalar value, refractive index scalar value, and sound wave propagation velocity scalar value.

[0048] The homogeneity analysis model is used to analyze the scalar physical property data set. The goal of the analysis is to explore the relationship between these scalar physical property data and homogeneity. Various statistical or machine learning algorithms, such as decision trees, random forests or deep neural networks, can be used to build models that can handle nonlinear relationships and capture the interaction between different physical property data and homogeneity characteristics. Through the analysis of the model, the homogeneity value of the inorganic binder after stirring can be obtained.

[0049] By using a fusion analysis of multiple physical property data sets, the homogeneity of the inorganic binder can be comprehensively and accurately evaluated, which improves the reliability of the analysis. The homogeneity can be predicted based on the homogeneity analysis model, and the real-time control and adjustment of the stirring experiment process can be achieved through a feedback mechanism, thereby improving the quality of the stirring experiment.

[0050] In addition to the above-mentioned method for calculating homogeneity, the homogeneity analysis model can also use the following formula to calculate the homogeneity of the inorganic binder after stirring at the sampling time point. Therefore, the constraint formula for calculating the homogeneity of the inorganic binder after stirring at the sampling time point is:

[0051]

[0052] Wherein, JZd is the homogeneity of the inorganic binder after stirring at the sampling time point, Zd is the turbidity pure value, Zds is the parameterized turbidity pure value of the inorganic binder after stirring at the sampling time point, α1 is the turbidity weight coefficient, Md is the density pure value, α2 is the density weight coefficient, Td is the temperature pure value, Tdy is the parameterized temperature pure value of the inorganic binder after stirring at the sampling time point, α3 is the temperature weight coefficient, Nd is the viscosity characteristic reference value, which is obtained by the fusion analysis of the conductivity pure value, the refractive index pure value and the sound wave propagation velocity pure value, and is used to characterize the viscosity of the inorganic binder after stirring at the sampling time point, α4 is the viscosity characteristic reference value weight coefficient, and ε is a constant term.

[0053] The formula includes multiple physical property data, such as turbidity, density and temperature, as well as reference values ​​for viscosity characteristics, which all affect the homogeneity of the inorganic binder after stirring. Each physical property data has a weight coefficient that is used to adjust its influence on the homogeneity, so that the importance of different factors can be adjusted according to the specific situation. The formula involves parameter values, which are used to compare with the actual values ​​to evaluate the homogeneity. By comparing the parameter values, we can better understand the degree of change of the inorganic binder after stirring.

[0054] The logic of this formula is to comprehensively consider the impact of multiple physical property factors on homogeneity, and evaluate the homogeneity through weight adjustment and parameter value comparison. Its advantages lie in its comprehensiveness, flexibility and guidance, which can effectively guide the process of stirring experiments and ensure the quality of stirring.

[0055] Among them, the viscosity characteristic reference value can be obtained by the following calculation formula in addition to being obtained through decision tree and random forest or deep neural network analysis:

[0056]

[0057] β1 is the weight coefficient of the scalar value of conductivity, Zz is the scalar value of refractive index, β2 is the weight coefficient of the scalar value of refractive index, Sz is the scalar value of sound wave propagation velocity, β3 is the weight coefficient of the scalar value of sound wave propagation velocity, σ is a constant term, and e is a natural constant.

[0058] In this embodiment, since the viscosity characteristics are difficult to obtain directly during the stirring process, the viscosity characteristics of the material can be more comprehensively reflected by correlating multiple physical property data related to the year, such as conductivity, refractive index and sound wave propagation speed.

[0059] Each physical property data has a weight coefficient, which is used to adjust its influence on the reference value of viscosity characteristics. The importance of different factors can be adjusted according to the specific situation to make the model closer to the actual situation. The constant term in the formula is used to fine-tune or correct the reference value of viscosity characteristics to ensure the accuracy and applicability of the model.

[0060] Compared with the method based on machine learning model, this formula is simpler, has lower computational cost, and is easy to apply and interpret in practice. The logic of the calculation formula is to comprehensively consider the influence of multiple physical property factors on the viscosity characteristic reference value, and calculate the viscosity characteristic reference value by weight adjustment and constant term fine-tuning. Its advantages lie in its comprehensiveness, flexibility, simplicity and interpretability, and it can effectively reflect the viscosity characteristics of the substance.

[0061] Specifically, the homogeneity comparison analysis results include qualified homogeneity at the sampling time point, homogeneity at the next sampling time point requiring warning, and unqualified homogeneity at the sampling time point, wherein: when the homogeneity comparison analysis result is that the homogeneity at the sampling time point is qualified, it means: the difference between the homogeneity of the inorganic binder after stirring at the sampling time point and the expected homogeneity corresponding to the sampling time point is not less than 0; when the homogeneity comparison analysis result is that the homogeneity at the next sampling time point requires warning, it means: the difference between the homogeneity of the inorganic binder after stirring at the sampling time point and the expected homogeneity corresponding to the sampling time point is less than 0 and greater than the set threshold value for adjusting the stirring speed of the stirring test device; when the homogeneity comparison analysis result is that the homogeneity at the sampling time point is unqualified, it means: the difference between the homogeneity of the inorganic binder after stirring at the sampling time point and the expected homogeneity corresponding to the sampling time point is less than or equal to the set threshold value for adjusting the stirring speed of the stirring test device.

[0062] In this embodiment, when the difference between the homogeneity of the inorganic binder after stirring at the sampling time point and the expected homogeneity is greater than or equal to zero, it means that the homogeneity at this time point is qualified and meets the expected requirements. If the difference between the homogeneity of the inorganic binder after stirring at the sampling time point and the expected homogeneity is less than zero but greater than the threshold value for adjusting the stirring speed of the stirring test device set, an early warning is required, indicating that there is a certain deviation in the homogeneity, but it has not reached the level of being unqualified, and attention should be paid. When the difference between the homogeneity of the inorganic binder after stirring at the sampling time point and the expected homogeneity is less than or equal to the threshold value for adjusting the stirring speed of the stirring test device set, it means that the homogeneity does not meet the requirements and the stirring device needs to be adjusted to achieve the expected homogeneity level.

[0063] Through comparative analysis, the homogeneity of inorganic binders can be monitored in real time, deviations can be discovered in time and corresponding measures can be taken to ensure the stability and quality of the mixing test process. The logic of this comparative analysis method is to give different warnings and treatment suggestions based on the difference between the homogeneity after mixing and the expected homogeneity. Its benefits lie in real-time monitoring, early warning, automated adjustment and optimization, which help to ensure the stability and quality of the mixing test process.

[0064] Specifically, the process of adjusting the initial stirring speed of the stirring test device based on the homogeneity comparison analysis result is as follows: when the homogeneity comparison analysis result shows that the homogeneity at the sampling time point is qualified, the initial stirring speed of the stirring test device is not adjusted; when the homogeneity comparison analysis result shows that the homogeneity at the next sampling time point requires a warning, the initial stirring speed of the stirring test device is not adjusted but a warning of unqualified homogeneity is issued. For the warning situation, although no actual adjustment is made, timely warning is issued, which helps prevent the problem from further expanding and ensures the continuity and stability of the stirring test.

[0065] When the result of the homogeneity comparison analysis is that the homogeneity at the sampling time point is unqualified, the inorganic binder parameter set and the stirring mechanism data set are obtained, and the inorganic binder parameter set and the stirring mechanism data set are fused and analyzed based on the established speed adjustment model to obtain the adjusted stirring speed scalar value. Based on the fusion analysis of the inorganic binder parameter set and the stirring mechanism data set, the speed adjustment model is used to obtain the adjusted stirring speed, making the decision more scientific and accurate, and reducing the subjectivity and risk of human intervention.

[0066] The inorganic binder parameter set includes the wet mass of the inorganic binder, the volume of 10% ammonium chloride solution and the expected homogeneity at the next sampling time point; the stirring mechanism data set includes the total time from the start of stirring of the stirring test device to the next sampling time point, the blade area, the blade spacing, the blade inclination angle and the shear force between the blade and the inorganic binder.

[0067] In this embodiment, when the homogeneity comparison analysis results show that the homogeneity at the sampling time point is qualified, it means that the current stirring speed can meet the requirements, so there is no need to adjust the initial stirring speed of the stirring test device. When the homogeneity comparison analysis results show that the homogeneity at the sampling time point is unqualified, the initial stirring speed of the stirring test device will be adjusted. At this time, according to the inorganic binder parameter set and the stirring mechanism data set, the established speed adjustment model is used for fusion analysis to obtain the adjusted stirring speed scalar value, in order to improve the homogeneity to a qualified level.

[0068] Specifically, the speed adjustment model can use various statistical or machine learning algorithms to establish a model to explore the relationship between the post-scaling inorganic binder parameter set and the post-scaling stirring mechanism data set and the adjusted stirring speed scalar value, such as decision trees and random forests, which can handle nonlinear relationships and have a good ability to capture the interaction between the post-scaling inorganic binder parameter set and the post-scaling stirring mechanism data set and the adjusted stirring speed scalar value, and can provide an intuitive understanding of the influence of the post-scaling inorganic binder parameter set and the post-scaling stirring mechanism data set on the adjusted stirring speed scalar value. In addition, deep neural networks can also be used to learn the relationship between the post-scaling inorganic binder parameter set and the post-scaling stirring mechanism data set and the adjusted stirring speed scalar value characteristics, and predict the homogeneity based on the physical property data set.

[0069] Based on the established speed adjustment model, the inorganic binder parameter set and the stirring mechanism data set are fused and analyzed to obtain the adjusted stirring speed scalar value as follows: the inorganic binder parameter set and the stirring mechanism data set are scalarly processed to obtain the scalar inorganic binder parameter set and the scalar stirring mechanism data set. The scalar inorganic binder parameter set includes the scalar value of the inorganic binder wet material mass, the scalar value of the 10% ammonium chloride solution volume and the scalar value of the expected homogeneity at the next sampling time point. The scalar stirring mechanism data set includes the scalar value of the total time from the start of stirring of the stirring test device to the next sampling time point, the scalar value of the blade area, the scalar value of the blade spacing, the scalar value of the blade inclination angle and the scalar value of the shear force between the blade and the inorganic binder; the scalar inorganic binder parameter set and the scalar stirring mechanism data set are input into the established speed adjustment model to output the adjusted stirring speed scalar value.

[0070] The post-quantification inorganic binder parameter set and the post-quantification stirring mechanism data set are input into the established speed adjustment model for fusion analysis. The model will take into account the physical properties of the inorganic binder and the characteristics of the stirring mechanism, and comprehensively evaluate their impact on the adjusted stirring speed. After model analysis, the scalar value of the adjusted stirring speed is obtained. This value can be used as a specific operational guide to adjust the speed of the stirring equipment to achieve the desired homogeneity level.

[0071] Establishing a speed adjustment model can more accurately adjust the stirring speed according to various parameters and data, making the stirring process more precise and effective.

[0072] In addition to the above statistical or machine learning algorithm to calculate the adjusted stirring speed scalar value, it can also be obtained by the following calculation formula. The calculation formula for the adjusted stirring speed scalar value is:

[0073]

[0074] Wherein, Vt is the scalar value of the adjusted stirring speed, γ1 is the weight coefficient of the scalar value of the adjusted stirring speed, JZx is the scalar value of the expected homogeneity at the next sampling time point, Ty is the scalar value of the total time from the start of stirring in the stirring test device to the next sampling time point, Jm is the scalar value of the blade area, Jn is the scalar value of the blade spacing, Jd is the scalar value of the blade inclination angle, Jq is the scalar value of the shear force between the blade and the inorganic binder, f(Jm, Jn, Jd, Jq) is the calculation function of the scalar value of the blade area, the scalar value of the blade spacing, the scalar value of the blade inclination angle and the scalar value of the shear force between the blade and the inorganic binder, γ3 is the weight coefficient of the value of the calculation function f(Jm, Jn, Jd, Jq), Ms is the scalar value of the wet material mass of the inorganic binder, is the volume pure value of 10% ammonium chloride solution, e is a natural constant, and δ is the constant term modulation factor.

[0075] The scalar value of the adjusted stirring speed is calculated using a given calculation formula. This method does not rely on statistics or machine learning algorithms, but is based on the mathematical relationship between physical processes and related parameters. The formula includes multiple parameters and variables, such as homogeneity, stirring time, blade area, blade spacing, blade inclination angle, and shear force, which comprehensively consider various influencing factors in the stirring process.

[0076] The weight coefficient and modulation factor in the formula are used to adjust the importance and influence of each parameter. They can be adjusted according to actual conditions to better adapt to specific production environments and requirements. The predefined formula can be used to quickly calculate the adjusted pure value of the stirring speed, saving the time cost of training models and predictions.

[0077] Among them, f(Jm, Jn, Jd, Jq) can be obtained by analyzing the pure value of blade area, pure value of blade spacing, pure value of blade inclination angle and pure value of shear force between blade and inorganic binder through decision tree and random forest or deep neural network analysis, or by the following calculation formula: Where ω1 is the weight coefficient of the shear force scalar value between the blade and the inorganic binder, and ω2 is the weight coefficient of the average value of the blade area scalar value, the blade spacing scalar value, and the blade inclination angle scalar value.

[0078] In this embodiment, the calculation formula comprehensively considers multiple indicators such as blade area, spacing, inclination angle, and shear force between the blade and the inorganic binder, and obtains the final result through the comprehensive evaluation of these indicators, which more comprehensively reflects the various factors in the mixing process. The weight coefficient in the formula can be adjusted according to the actual situation to reflect the importance of different indicators to the final result, and the formula uses a simple weighted average method to combine various indicators in an intuitive way, avoiding complex model training and prediction processes, simplifying the calculation process, and not requiring complex machine learning algorithms or model training. The results are obtained directly through simple mathematical calculations, reducing the time and resource costs of model establishment and training.

[0079] An inorganic binder stirring test device, such as Figure 2As shown, it includes a sample container 1, a support seat 2, an adjustment frame 3 and a stirring mechanism. The inorganic binder stirring test device also includes a processor, and the processor can execute an inorganic binder stirring test method; the support seat 2 is hinged to the adjustment frame 3, the sample container 1 is used to be placed on the surface of the support seat 2, the surface of the adjustment frame 3 is installed with a protective cover 4, and the surface of the support seat 2 is provided with a timer 5; the stirring mechanism is arranged at the bottom of the adjustment frame 3 through a driving motor, when the sample container 1 is placed on the surface of the support seat 2, the adjustment frame 3 enables the stirring mechanism to enter the sample container 1 for stirring; the stirring mechanism includes a stirring rod 6 and a paddle 7, the stirring rod 6 is connected to the output shaft of the driving motor, the paddle 7 is fixedly connected to the surface of the stirring rod 6, the surface of the stirring rod 6 is fixed with a sensor module 8, and the sensor module 8 is used to obtain turbidity detection value, density detection value, temperature detection value, conductivity detection value, refractive index detection value, and sound wave propagation speed detection value.

[0080] Specifically, the sensing module 8 includes a turbidity sensor, a density sensor, a temperature sensor, a conductivity sensor, a refractive index sensor, and a sound wave propagation velocity sensor. The turbidity sensor is used to obtain a turbidity detection value, the density sensor is used to obtain a density detection value, the temperature sensor is used to obtain a temperature detection value, the conductivity sensor is used to obtain a conductivity detection value, the refractive index sensor is used to obtain a refractive index detection value, and the sound wave propagation velocity sensor is used to obtain a sound wave propagation velocity detection value.

[0081] In this embodiment, the inorganic binder to be stirred is placed in the sample container 1, and the adjustment frame 3 is pressed downward to allow the stirring mechanism to enter the sample container 1. At the same time, the protective cover 4 is covered on the sample container 1, and the drive motor is started to stir the inorganic binder. During the stirring process, the turbidity sensor, density sensor, temperature sensor, conductivity sensor, refractive index sensor, and sound wave propagation speed sensor are used for detection, and the detected data is sent to the processor for processing. After the processor processes, the stirring speed of the material stirring test device is controlled.

[0082] An electronic device comprises: a processor; and a memory, wherein computer program instructions are stored in the memory, and when the computer program instructions are executed by the processor, the processor executes the inorganic binder stirring test method as described above.

[0083] A computer-readable storage medium is used to store a program, and when the program is executed by a processor, the inorganic binder stirring test method as described above is implemented.

[0084] In summary, this application has at least the following effects:

[0085] The homogeneity of the inorganic binder after stirring at the sampling time point is compared and analyzed with the expected homogeneity corresponding to the time point, which is completed by comparing the physical characteristics or chemical properties of the sample to determine whether the expected homogeneity level has been achieved. According to the results of the homogeneity comparison analysis, the initial stirring speed of the stirring test device is adjusted. If the homogeneity after stirring does not match the expected homogeneity, the stirring speed can be gradually adjusted to reach the expected level. The homogeneity of the inorganic binder can be monitored and adjusted in real time during the stirring process, so as to adjust the stirring speed of the stirring test device, thereby providing a basis for the subsequent measurement of the cement dosage in the inorganic binder. During the stirring process, sampling is performed regularly to obtain the homogeneity of the inorganic binder after stirring to determine the uniformity of the material.

[0086] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0087] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0088] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0089] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0090] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0091] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. Inorganic binder stirring test method, characterized in that: The following steps are involved: Controlling the stirring test device to stir the inorganic binder based on initial operation data, wherein the initial operation data includes an initial stirring speed and an estimated stirring time; Obtaining the homogeneity of the inorganic binder after stirring at the sampling time point, and comparing and analyzing the homogeneity of the inorganic binder after stirring at the sampling time point with the expected homogeneity corresponding to the sampling time point, to obtain a homogeneity comparison analysis result; Based on the results of the homogeneity comparison analysis, the initial stirring speed of the stirring test device is adjusted so that the homogeneity after stirring reaches the expected homogeneity at the next sampling time point; The process of obtaining the homogeneity of the inorganic binder after stirring at the sampling time point is as follows: Acquiring sensing data at a sampling time point based on a detection sensor; Analyze the sensor data at the sampling time point to obtain a physical property data set of the stirred inorganic binder at the sampling time point; Based on the homogeneity analysis model, the physical property data set of the inorganic binder after stirring is fused and analyzed to obtain the homogeneity of the inorganic binder after stirring at the sampling time point; The physical property data set is used as an analytical basis for obtaining the homogeneity of the inorganic binder after stirring at the sampling time point, and the physical property data set includes the turbidity detection value, density detection value, temperature detection value, conductivity detection value, refractive index detection value, and sound wave propagation speed detection value of the inorganic binder after stirring at the sampling time point; The process of fusion analysis of the physical property data set of the stirred inorganic binder based on the homogeneity analysis model is as follows: Performing scalar processing on the physical property data set to obtain a scalar physical property data set, wherein the scalar physical property data set includes a turbidity scalar value, a density scalar value, a temperature scalar value, a conductivity scalar value, a refractive index scalar value, and a sound wave propagation velocity scalar value; The homogeneity analysis model analyzes the pure physical property data set to obtain the homogeneity of the inorganic binder after stirring at the sampling time point; The constraint formula for calculating the homogeneity of the inorganic binder after stirring at the sampling time point by the homogeneity analysis model is: Wherein, JZd is the homogeneity of the inorganic binder after stirring at the sampling time point, Zd is the turbidity pure value, Zds is the parameterized turbidity pure value of the inorganic binder after stirring at the sampling time point, α1 is the turbidity weight coefficient, Md is the density pure value, α2 is the density weight coefficient, Td is the temperature pure value, Tdy is the parameterized temperature pure value of the inorganic binder after stirring at the sampling time point, α3 is the temperature weight coefficient, Nd is the viscosity characteristic reference value, which is obtained by the fusion analysis of the conductivity pure value, the refractive index pure value and the sound wave propagation velocity pure value, α4 is the viscosity characteristic reference value weight coefficient, and ε is a constant term.

2. The inorganic binder stirring test method according to claim 1, characterized in that: The homogeneity comparison analysis results include the homogeneity at the sampling time point being qualified, the homogeneity at the next sampling time point requiring a warning, and the homogeneity at the sampling time point being unqualified, where: When the homogeneity comparison analysis result shows that the homogeneity at the sampling time point is qualified, it means that the difference between the homogeneity of the inorganic binder after stirring at the sampling time point and the expected homogeneity corresponding to the sampling time point is not less than 0; When the homogeneity comparison analysis result indicates that a warning is required for the homogeneity at the next sampling time point, it indicates that the difference between the homogeneity of the inorganic binder after stirring at the sampling time point and the expected homogeneity corresponding to the sampling time point is less than 0 and greater than the set threshold value for adjusting the stirring speed of the stirring test device; When the homogeneity comparison analysis result is that the homogeneity at the sampling time point is unqualified, it means that the difference between the homogeneity of the inorganic binder after stirring at the sampling time point and the expected homogeneity corresponding to the sampling time point is less than or equal to the set threshold value for adjusting the stirring speed of the stirring test device.

3. The inorganic binder stirring test method according to claim 2, characterized in that: The process of adjusting the initial stirring speed of the stirring test device based on the homogeneity comparison analysis results is as follows: When the result of the homogeneity comparison analysis shows that the homogeneity at the sampling time point is qualified, the initial stirring speed of the stirring test device is not adjusted; When the homogeneity comparison analysis result indicates that a warning is required for the homogeneity at the next sampling time point, the initial stirring speed of the stirring test device is not adjusted but a homogeneity failure warning is issued; When the result of the homogeneity comparison analysis is that the homogeneity at the sampling time point is unqualified, the inorganic binder parameter set and the stirring mechanism data set are obtained, and the inorganic binder parameter set and the stirring mechanism data set are fused and analyzed based on the established speed adjustment model to obtain the adjusted stirring speed scalar value.

4. The inorganic binder stirring test method according to claim 3, characterized in that: The parameter set of inorganic binder includes the wet mass of inorganic binder, the volume of 10% ammonium chloride solution and the expected homogeneity at the next sampling time point; The stirring mechanism data set includes the total time from the start of stirring of the stirring test device to the next sampling time point, the blade area, the blade spacing, the blade inclination angle, and the shear force between the blade and the inorganic binder.

5. The inorganic binder stirring test method according to claim 4, characterized in that: Based on the established speed adjustment model, the inorganic binder parameter set and the stirring mechanism data set are fused and analyzed to obtain the adjusted stirring speed pure value as follows: Performing scalar processing on the inorganic binder parameter set and the stirring mechanism data set to obtain a post-scalar inorganic binder parameter set and a post-scalar stirring mechanism data set, wherein the post-scalar inorganic binder parameter set includes a scalar value of the inorganic binder wet material mass, a scalar value of the 10% ammonium chloride solution volume, and a scalar value of the expected homogeneity at the next sampling time point, and the post-scalar stirring mechanism data set includes a scalar value of the total time length from the start of stirring of the stirring test device to the next sampling time point, a scalar value of the blade area, a scalar value of the blade spacing, a scalar value of the blade inclination angle, and a scalar value of the shear force between the blade and the inorganic binder; The inorganic binder parameter set after scaling and the stirring mechanism data set after scaling are input into the established speed adjustment model, and the scalar value of the stirring speed after adjustment is output. The calculation formula of the scalar value of the stirring speed after adjustment is: Wherein, Vt is the scalar value of the adjusted stirring speed, γ1 is the weight coefficient of the scalar value of the adjusted stirring speed, JZx is the scalar value of the expected homogeneity at the next sampling time point, Ty is the scalar value of the total time from the start of stirring in the stirring test device to the next sampling time point, Jm is the scalar value of the blade area, Jn is the scalar value of the blade spacing, Jd is the scalar value of the blade inclination angle, Jq is the scalar value of the shear force between the blade and the inorganic binder, f(Jm, Jn, Jd, Jq) is the calculation function of the scalar value of the blade area, the scalar value of the blade spacing, the scalar value of the blade inclination angle and the scalar value of the shear force between the blade and the inorganic binder, γ3 is the weight coefficient of the value of the calculation function f(Jm, Jn, Jd, Jq), Ms is the scalar value of the wet material mass of the inorganic binder, is the volume pure value of 10% ammonium chloride solution, e is a natural constant, and δ is the constant term modulation factor.

6. An inorganic binder stirring test device, comprising a sample container (1), a support base (2), an adjustment frame (3) and a stirring mechanism, characterized in that: The inorganic binder stirring test device further comprises a processor, and the processor is capable of executing the inorganic binder stirring test method according to any one of claims 1 to 5; The support seat (2) is hinged to the adjustment frame (3); the sample container (1) is used to be placed on the surface of the support seat (2); a protective cover (4) is installed on the surface of the adjustment frame (3); and a timer (5) is provided on the surface of the support seat (2); The stirring mechanism is arranged at the bottom of the adjustment frame (3) through a driving motor, and when the sample container (1) is placed on the surface of the support seat (2), the adjustment frame (3) enables the stirring mechanism to enter the interior of the sample container (1) for stirring; The stirring mechanism comprises a stirring rod (6) and a paddle (7), wherein the stirring rod (6) is connected to an output shaft of a driving motor, and the paddle (7) is fixedly connected to a surface of the stirring rod (6). A sensor module (8) is fixed to the surface of the stirring rod (6), and the sensor module (8) is used to obtain a turbidity detection value, a density detection value, a temperature detection value, a conductivity detection value, a refractive index detection value, and a sound wave propagation speed detection value.

7. The inorganic binder stirring test device according to claim 6, characterized in that: The sensing module (8) comprises a turbidity sensor, a density sensor, a temperature sensor, a conductivity sensor, a refractive index sensor, and a sound wave propagation velocity sensor; the turbidity sensor is used to obtain a turbidity detection value; the density sensor is used to obtain a density detection value; the temperature sensor is used to obtain a temperature detection value; the conductivity sensor is used to obtain a conductivity detection value; the refractive index sensor is used to obtain a refractive index detection value; and the sound wave propagation velocity sensor is used to obtain a sound wave propagation velocity detection value.

Images