Fly ash slurry viscosity and uniformity measuring device based on magnetic flux method

Abstract

The invention relates to a fly ash slurry viscosity and uniformity measuring device based on a magnetic flux method, which belongs to the technical field of fluid detection and environmental monitoring, and comprises a magnetic field excitation module, a magnetic sensitive assembly, a magnetic field acquisition module, a geometric feature analysis module and a data integration and output module. The magnetic field excitation module generates an alternating magnetic field to drive the magnetic sensitive assembly in the slurry to move; the magnetic field acquisition module acquires magnetic field space distribution data through a Hall sensor array; the geometric feature analysis module constructs magnetic field manifold representation based on a differential geometry theory and extracts geometric features; the data integration and output module is used for calculating a viscosity value and a uniformity index and outputting a measurement result, magnetic field distribution is analyzed by introducing a differential geometry theory, a mapping relation between magnetic field geometric characteristics and slurry physical properties is established, non-contact synchronous measurement of viscosity and uniformity is realized, and the measurement accuracy is improved. The method has the advantages of high measurement precision, strong anti-interference capability, short response time and the like.

Description

Technical Field

[0001] This invention relates to the field of fluid detection and environmental monitoring technology, specifically a device that utilizes the principle of magnetic flux detection to simultaneously measure the viscosity and uniformity of fly ash slurry. This device is mainly used for process control and quality monitoring in fields such as fly ash slurry treatment in thermal power plants, mine backfilling, building material production, and environmental remediation. Background Technology

[0002] Fly ash, as a solid waste emitted by thermal power plants, is often prepared into slurry for use in filling, building materials, or geological remediation. The viscosity and uniformity of fly ash slurry are key indicators for evaluating its conveying performance, pumping efficiency, and application stability.

[0003] Existing measurement methods mostly employ rotational viscometers, rheometers, or optical detection methods, which have the following shortcomings: First, they are highly contact-dependent, requiring rotational viscometers to be in direct contact with the slurry, making them prone to wear and contamination; second, uniformity is difficult to measure accurately, as existing optical or sampling detection methods are greatly affected by sedimentation and air bubbles; furthermore, they cannot achieve real-time online monitoring, and most detection methods are only suitable for laboratory use, lacking the capability for on-site monitoring of industrial pipelines.

[0004] In response to the specific requirements for monitoring the physical properties of fly ash slurry, there is an urgent need for a non-contact measurement system that can monitor viscosity and uniformity in real time to meet the online monitoring needs in industrial applications. Summary of the Invention

[0005] The purpose of this invention is to provide a device for measuring the viscosity and uniformity of fly ash slurry based on the magnetic flux method. By introducing differential geometry theory to analyze the magnetic field distribution characteristics, it achieves non-contact synchronous measurement of viscosity and uniformity.

[0006] This invention proposes a device for measuring the viscosity and uniformity of fly ash slurry based on the magnetic flux method, comprising:

[0007] The magnetic field excitation module is used to generate an alternating magnetic field to drive the movement of the magnetically sensitive components in the slurry;

[0008] The magnetically sensitive component is placed in the slurry and is driven to move by the alternating magnetic field generated by the magnetic field excitation module;

[0009] A magnetic field acquisition module is installed outside the slurry container to collect spatial distribution data of the magnetic field generated by the movement of the magnetically sensitive component.

[0010] The geometric feature analysis module, electrically connected to the magnetic field acquisition module, is used to receive the spatial distribution data of the magnetic field, construct a magnetic field manifold characterization based on differential geometry theory, and extract the geometric features of the magnetic field manifold; and the data integration and output module, electrically connected to the geometric feature analysis module, is used to receive the geometric features, calculate the viscosity value and uniformity index, and output the measurement results.

[0011] Preferably, the magnetic field excitation module includes:

[0012] The excitation control unit is used to generate control signals;

[0013] A power amplifier unit, electrically connected to the excitation control unit, is used to amplify the control signal; and an electromagnetic coil assembly, electrically connected to the power amplifier unit, is used to generate an alternating magnetic field according to the amplified control signal, the electromagnetic coil assembly being arranged around the slurry container.

[0014] Preferably, the electromagnetic coil assembly is a triaxial orthogonal coil used to generate a three-dimensional controllable magnetic field, wherein the excitation control unit is used to adjust the frequency of the alternating magnetic field to vary within the range of 0.1 to 200 Hz.

[0015] Preferably, the magnetically sensitive component includes:

[0016] The magnetic rotor, a permanent magnet structure, is placed in the slurry, and its motion characteristics are affected by the viscosity of the slurry; and auxiliary magnetic particles are dispersed in the slurry to enhance the interaction between the magnetic field and the slurry.

[0017] Preferably, the magnetic rotor is a cylindrical permanent magnet with magnetic poles at both ends arranged axially and the rotation axis perpendicular to the main direction of the magnetic field, wherein the volume fraction of the auxiliary magnetic particles is less than 5%.

[0018] Preferably, the magnetic field acquisition module includes:

[0019] A Hall sensor array, positioned outside the slurry container, is used to collect magnetic field strength data in three-dimensional space.

[0020] A signal conditioning unit, electrically connected to the Hall sensor array, is used to amplify and filter the magnetic field strength data; and a data acquisition unit, electrically connected to the signal conditioning unit, is used to convert the conditioned analog signal into a digital signal to form the magnetic field spatial distribution data.

[0021] Preferably, the Hall sensor array includes multiple triaxial Hall sensors forming a 12×12×3 three-dimensional spatial layout, wherein the multiple triaxial Hall sensors are uniformly distributed along the circumference of the slurry container and multiple measurement planes are arranged in the axial direction.

[0022] Preferably, the geometric feature analysis module includes:

[0023] A magnetic field manifold construction unit is used to receive the magnetic field spatial distribution data, construct a continuous magnetic field distribution through an interpolation algorithm, and extract magnetic field isosurfaces to form a parameterized manifold.

[0024] The curvature calculation unit, electrically connected to the magnetic field manifold construction unit, is used to calculate the metric tensor, principal curvature, Gaussian curvature, and mean curvature of the parameterized manifold; and the feature extraction unit, electrically connected to the curvature calculation unit, is used to extract the statistical features of the curvature distribution to form a geometric feature set.

[0025] Preferably, the geometric feature analysis module further includes:

[0026] A Riemann curvature analysis unit, electrically connected to the curvature calculation unit, is used to calculate the Riemann curvature tensor and its invariants of the parameterized manifold; and a uniformity evaluation unit, electrically connected to the Riemann curvature analysis unit, is used to calculate the curvature variation index based on the spatial distribution characteristics of the Riemann curvature tensor to characterize the uniformity of the slurry.

[0027] Preferably, the data integration and output module includes:

[0028] The property mapping unit is used to establish a mapping relationship based on the geometric features and convert the geometric features into viscosity values ​​and uniformity index.

[0029] The result verification unit, electrically connected to the property mapping unit, is used to verify the rationality of the calculation results; and the display and storage unit, electrically connected to the result verification unit, is used to display the viscosity value and uniformity index, store historical measurement data, and generate a trend analysis report.

[0030] The present invention has the following beneficial effects:

[0031] 1. It achieves non-contact measurement, avoiding the wear and contamination problems caused by direct contact between the equipment and the slurry in traditional methods, thus extending the service life of the equipment and reducing maintenance costs;

[0032] 2. The magnetic field analysis method based on differential geometry theory establishes an accurate mapping relationship between slurry physical properties and magnetic field geometric characteristics, improving measurement accuracy. The viscosity measurement accuracy can reach ±2%, which is a significant improvement over the ±4% of the traditional method.

[0033] 3. The multi-point sensor array design and Riemann curvature analysis method enable the device to comprehensively capture the internal inhomogeneity of the slurry, improving the uniformity measurement sensitivity by about 3 times and enabling the detection of 5% local inhomogeneity.

[0034] 4. It achieves true synchronous measurement of viscosity and uniformity with a response time of less than 2 seconds, meeting the real-time monitoring needs of industrial sites;

[0035] 5. The analysis method based on geometric invariants enhances the anti-interference capability, enabling the system to maintain stable measurement even in harsh industrial environments, and reducing environmental interference sensitivity by about 70%. Attached Figure Description

[0036] Figure 1 This is a schematic diagram of the overall structure of the device of the present invention;

[0037] Figure 2 This is a schematic diagram of the magnetic field excitation module structure;

[0038] Figure 3 This is a flowchart of the data processing for the geometric feature analysis module. Detailed Implementation

[0039] Please refer to Figure 1 - Figure 3 The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0040] like Figure 1 As shown, the present invention provides a device for measuring the viscosity and uniformity of fly ash slurry based on the magnetic flux method. The device mainly includes: a magnetic field excitation module 1, a magnetic sensing component 2, a magnetic field acquisition module 3, a geometric feature analysis module 4, and a data integration and output module 5.

[0041] In one embodiment of the present invention, the magnetic field excitation module 1 is used to generate an alternating magnetic field to drive the movement of the magnetically sensitive component in the slurry. Preferably, as shown in the following example... Figure 2 As shown, the magnetic field excitation module 1 includes an excitation control unit 11, a power amplifier unit 12, and an electromagnetic coil assembly 13. The excitation control unit 11 is used to generate a control signal, which can be digitally synthesized to generate electrical signals with different waveforms, frequencies, and amplitudes. The power amplifier unit 12 is electrically connected to the excitation control unit 11 and is used to amplify the control signal and provide sufficient drive current. The electromagnetic coil assembly 13 is electrically connected to the power amplifier unit 12 and is used to generate an alternating magnetic field according to the amplified control signal. The electromagnetic coil assembly 13 is arranged around the slurry container.

[0042] In a preferred embodiment, the electromagnetic coil assembly 13 is a triaxial orthogonal coil used to generate a three-dimensional controllable magnetic field. This design allows the device to apply magnetic fields in different directions, enhancing the measurement flexibility of the system. The excitation control unit 11 can adjust the frequency of the alternating magnetic field from 0.1 to 200 Hz. This frequency range has been verified through extensive experiments to provide good measurement response for fly ash slurry with a viscosity of 10–300 mPa·s. In practical applications, the parameters of the electromagnetic coil can be designed as follows: inner diameter 80 mm, outer diameter 120 mm, and number of turns 200. These parameters ensure that the magnetic field strength generated by the coil is sufficient to drive the magnetically sensitive component while keeping the power consumption within a reasonable range.

[0043] The magnetically sensitive component 2 is placed in the slurry and is driven to move by the alternating magnetic field generated by the magnetic field excitation module 1. In one embodiment of the present invention, the magnetically sensitive component 2 includes a magnetic rotor and auxiliary magnetic particles. The magnetic rotor is a permanent magnet structure placed in the slurry, and its motion characteristics are affected by the viscosity of the slurry; the auxiliary magnetic particles are dispersed in the slurry to enhance the interaction between the magnetic field and the slurry.

[0044] In a preferred embodiment, the magnetic rotor is a cylindrical permanent magnet with magnetic poles arranged axially at both ends, and the rotation axis is perpendicular to the main direction of the magnetic field. This design enables the magnetic rotor to generate stable rotation or vibration under the action of the magnetic field, and its motion state is directly affected by the viscosity of the slurry. Preferably, the magnetic rotor is designed with a diameter of 10 mm and a length of 20 mm, and is made of neodymium iron boron material, which has strong magnetism and good chemical stability. The volume fraction of the auxiliary magnetic particles is preferably less than 5%. Too high a concentration may change the properties of the slurry and affect the accuracy of the measurement; too low a concentration will make it difficult to provide a sufficient magnetic field response signal. Preferably, the particle size of the auxiliary magnetic particles is controlled in the range of 5 to 50 micrometers. This particle size range can maintain good suspension without significantly changing the intrinsic properties of the slurry.

[0045] The magnetic field acquisition module 3 is disposed outside the slurry container and is used to acquire spatial distribution data of the magnetic field generated by the movement of the magnetically sensitive component 2. In an embodiment of the present invention, the magnetic field acquisition module 3 includes a Hall sensor array, a signal conditioning unit, and a data acquisition unit. The Hall sensor array is disposed outside the slurry container and is used to acquire magnetic field intensity data in three-dimensional space; the signal conditioning unit is electrically connected to the Hall sensor array and is used to amplify and filter the magnetic field intensity data; the data acquisition unit is electrically connected to the signal conditioning unit and is used to convert the conditioned analog signal into a digital signal to form spatial distribution data of the magnetic field.

[0046] Preferably, the Hall sensor array comprises multiple triaxial Hall sensors forming a 12×12×3 three-dimensional spatial layout. The triaxial Hall sensors can simultaneously measure the magnetic field components in the X, Y, and Z directions, providing comprehensive information on the spatial distribution of the magnetic field. These sensors are uniformly distributed circumferentially along the slurry container and have multiple measurement planes arranged axially, forming a complete measurement network. In practical implementation, a triaxial integrated Hall sensor with a sensitivity of 10mV / Gauss and a measurement range of ±2000Gauss can be selected, which is sufficient to cover the range of magnetic field variations in this application. The signal conditioning unit filters out high-frequency noise using a low-pass filter with a cutoff frequency set to 300Hz, while providing 20dB signal amplification to improve the signal-to-noise ratio. The data acquisition unit uses a 16-bit ADC converter with a sampling frequency set to 200Hz, a sampling rate sufficient to capture dynamic changes in the magnetic field.

[0047] like Figure 3 As shown, the geometric feature analysis module 4 is electrically connected to the magnetic field acquisition module 3, and is used to receive magnetic field spatial distribution data, construct a magnetic field manifold representation based on differential geometry theory, and extract the geometric features of the magnetic field manifold. In one embodiment of the present invention, the geometric feature analysis module 4 includes a magnetic field manifold construction unit 41, a curvature calculation unit 42, and a feature extraction unit 43.

[0048] The magnetic field manifold construction unit 41 receives the spatial distribution data of the magnetic field, constructs a continuous magnetic field distribution through an interpolation algorithm, and extracts the magnetic field isosurfaces to form a parameterized manifold. Preferably, a cubic spline interpolation algorithm is used to extend the discrete sensor data into a continuous magnetic field distribution function F(x,y,z,t). This function represents the magnetic field strength at spatial location (x,y,z) and time t. In practical applications, the selection of the magnetic field isosurface has a significant impact on the measurement results. Generally, an isosurface with a magnetic field strength of 50% of the initial field strength is selected as the analysis benchmark. This ratio has been experimentally verified to have the best signal-to-noise ratio and sensitivity. For example, when the initial magnetic field strength is 1000 Gauss, a 500 Gauss isosurface is selected as the analysis object.

[0049] The curvature calculation unit 42 is electrically connected to the magnetic field manifold construction unit 41 and is used to calculate the metric tensor, principal curvature, Gaussian curvature, and mean curvature of the parameterized manifold. These geometric quantities are key indicators describing the geometric properties of the manifold. In the processing of fly ash slurry measurements, the metric tensor of the magnetic field manifold can be expressed as:

[0050] ,

[0051] in: The element in the i-th row and j-th column of the metric tensor is dimensionless. is the position vector on the magnetic field manifold, with units of meters (m). and The coordinates are local parametric coordinates of the manifold, and are dimensionless. This represents the vector dot product operation. The metric tensor describes the distance relationships on a manifold; its physical meaning is to measure the angles and lengths on the manifold, reflecting the spatial structure of the magnetic field distribution.

[0052] In practical applications, when analyzing the magnetic field manifold in fly ash slurry, the metric tensor is typically a 2×2 matrix whose elements reflect the spatial rate of change of the magnetic field distribution. For example, in a homogeneous slurry, the eigenvalues ​​of the metric tensor are relatively uniformly distributed; while in a non-homogeneous slurry, the eigenvalues ​​of the metric tensor show significant differences, which directly correspond to the inhomogeneity within the slurry.

[0053] Based on the metric tensor, the curvature calculation unit 42 further calculates the first and second fundamental forms of the manifold, thereby obtaining the principal curvatures. and The Gaussian curvature K and the mean curvature H are calculated from the principal curvatures:

[0054] ,

[0055] ,

[0056] in: Gaussian curvature, in units of 1 / meter (m) -1 ), characterizing the intrinsic geometric properties of a manifold; The mean curvature is expressed in units of 1 / meter (m). -1 This reflects the degree of external curvature of the manifold; and These are the two principal curvature values, both in units of 1 / meter (m). -1 ).

[0057] In practical fly ash slurry measurement, the Gaussian curvature K value is typically between 0.01 and 10 m. -2 The value varies within a certain range and is positively correlated with the viscosity of the slurry. For example, when measuring fly ash slurry with a viscosity of 50 mPa·s, a typical Gaussian curvature value is approximately 0.5 m. -2 When the viscosity increases to 200 mPa·s, the Gaussian curvature value may rise to 2 m. -2 Left and right. This correspondence provides a theoretical basis for viscosity measurement.

[0058] The feature extraction unit 43 is electrically connected to the curvature calculation unit 42 and is used to extract statistical features of the curvature distribution to form a geometric feature set. These features include spatial distribution statistics of curvature, temporal evolution features, etc., which together constitute a feature vector characterizing the magnetic field distribution. In practical applications, the feature vector contains 10 to 15 dimensions, covering static geometric characteristics and dynamic evolution features, providing comprehensive information for subsequent physical property parameter mapping. For example, when monitoring the slurry in the fly ash conveying pipeline of a thermal power plant, the system can extract features such as the maximum, minimum, average, standard deviation, and rate of change of curvature in real time, accurately reflecting the flow state of the slurry through these features.

[0059] In another embodiment of the present invention, the geometric feature analysis module 4 further includes a Riemann curvature analysis unit 44 and a uniformity evaluation unit 45. The Riemann curvature analysis unit 44 is electrically connected to the curvature calculation unit 42 and is used to calculate the Riemann curvature tensor and its invariants of the parameterized manifold. The Riemann curvature tensor is an important mathematical tool for describing the geometric properties of a manifold, and its calculation formula is:

[0060] ,

[0061] in: These are the components of the Riemann curvature tensor, in units of 1 / m. 2（ m -2 ); The symbol is Christoffel, and the unit is 1 / meter (m). -1 ), representing a connection on a manifold; , , represents the local coordinate parameters of the manifold, which are dimensionless; Indicates the parameter Partial derivative operation; subscript As a summation index, according to Einstein's summation convention, when an index appears in both the upper and lower positions, it represents the summation of that index from 1 to the coordinate dimension.

[0062] In measuring the uniformity of fly ash slurry, the Riemann curvature tensor can capture subtle changes in the slurry's internal structure. For example, when particle settling occurs in the slurry, a density gradient forms between the settling and suspended regions. This gradient is reflected in the curvature tensor of the magnetic field manifold, manifesting as a spatial discontinuity in the tensor components. By analyzing this discontinuity, the degree of slurry stratification can be quantitatively assessed. In practical applications, the Riemann curvature tensor is typically a fourth-order tensor with 16 components on a two-dimensional manifold, but due to symmetry, only 6 components are independent.

[0063] The uniformity assessment unit 45 is electrically connected to the Riemann curvature analysis unit 44, and is used to calculate the curvature variation index based on the spatial distribution characteristics of the Riemann curvature tensor, thus characterizing the uniformity of the slurry. The formula for calculating the curvature variation index (CVI) is:

[0064] ,

[0065] in: The curvature variation index, with units of 1 / meter. 4 (m) -4 ); Gaussian curvature The gradient, in units of 1 / m 3 (m- 3 ); Area elements on the manifold, in meters. 2 (m) 2 ); The total area of ​​the manifold is expressed in meters. 2 (m) 2 The integration range is the entire analytical manifold; The magnitude of the gradient is represented by the following method: ,in and They represent Local coordinates of manifold and The partial derivatives of .

[0066] In fly ash slurry treatment applications, a higher CVI value indicates a more drastic change in curvature, corresponding to lower slurry uniformity. Extensive experiments established the correlation between CVI value and slurry uniformity: when CVI < 0.05m... -4 When the slurry exhibits good uniformity, it is suitable for pumping and filling operations; when 0.05≤CVI<0.15m -4 At this time, the slurry exhibits slight heterogeneity, requiring stirring or adjustment of the mix ratio; when CVI ≥ 0.15m -4 If significant unevenness exists in the slurry, process parameters need to be adjusted immediately to prevent pipeline blockage or filling quality issues. For example, in the fly ash treatment system of a thermal power plant, real-time monitoring of the CVI value can promptly detect abnormalities in the slurry preparation process, such as insufficient mixing or inaccurate proportioning, ensuring that the slurry properties meet the transportation requirements.

[0067] In addition, the uniformity assessment unit 45 also calculates the multi-scale uniformity index UI(r), considering uniformity at different spatial scales and providing more comprehensive assessment results. The formula for calculating UI(r) is:

[0068] ,

[0069] in Let r be the uniformity index, which is dimensionless. For the analytical scale, the unit is meters (m); For comprehensive evaluation functions; The curvature variation index at scale r; Let be the skewness of the curvature distribution at scale r, which is dimensionless; Let be the kurtosis of the curvature distribution at scale r, which is dimensionless.

[0070] like Figure 1 As shown, the data integration and output module 5 is electrically connected to the geometric feature analysis module 4, and is used to receive geometric features, calculate viscosity values ​​and uniformity index, and output measurement results. In an embodiment of the present invention, the data integration and output module 5 includes a property mapping unit, a result verification unit, and a display and storage unit.

[0071] The property mapping unit is used to establish mapping relationships based on geometric features, converting geometric features into viscosity values ​​and homogeneity indices. This mapping relationship is obtained through training with experimental data, establishing a transformation function from the geometric feature space to the property parameter space. For viscosity mapping, the core relationship is:

[0072] ,

[0073] in: The viscosity of fly ash slurry is expressed in mPa·s. For mapping functions; Gaussian curvature, in units of 1 / meter. 2 (m) -2 ); The mean curvature is expressed in units of 1 / meter (m⁻¹). This is the Gaussian curvature gradient, in units of 1 / m. 3 (m) -3 ); The average curvature gradient is expressed in units of 1 / meter. 2 (m) -2 ).

[0074] In practical engineering applications, this mapping relationship can accurately reflect changes in slurry viscosity when measuring fly ash slurries of different concentrations emitted from thermal power plants. For example, in the fly ash treatment system of a certain thermal power plant, when the Gaussian curvature K is 0.5m... -2 The average curvature H is 0.8m. -1 At that time, the corresponding slurry viscosity was approximately 60 mPa·s; when the K value increased to 1.2 m... -2 The H value reached 1.5m -1 At this point, the slurry viscosity may have increased to about 150 mPa·s, at which point the pumping parameters need to be adjusted to ensure that the pipeline does not become blocked.

[0075] In practical applications, the mapping function is represented by a polynomial expansion:

[0076] ,

[0077] in: The viscosity of fly ash slurry is expressed in mPa·s. The coefficients of the constant term are expressed in mPa·s. The coefficient of the linear term, the unit of which is determined by the corresponding characteristic. It depends on the unit; The coefficient of the quadratic term, the unit is determined according to the corresponding characteristics. and It depends on the unit; and represents the i-th and j-th elements of the geometric eigenvector, with units and physical meanings determined by the specific features; n is the feature dimension, typically 10~15; This represents the summation of index i from 1 to n; This means summing the indices i and j from 1 to n to generate all possible quadratic cross terms.

[0078] In a specific embodiment of the present invention, for the measurement of fly ash slurry in a power plant, the feature vector contains 10 elements, including the mean, standard deviation, maximum, and minimum values ​​of the Gaussian curvature, as well as their time derivatives. The coefficients are determined through calibration using standard slurry samples. Approximately 10 mPa·s, coefficient of the first term The magnitude is between 0.1 and 10 mPa·s, and the coefficient of the quadratic term is... The magnitudes are between 0.01 and 1 mPa·s. These coefficients are obtained by least squares fitting to ensure good accuracy throughout the measurement range.

[0079] The result verification unit is electrically connected to the property mapping unit and is used to verify the rationality of the calculation results. The verification criteria include: the viscosity change rate should not exceed 10% / s, otherwise it is considered an abnormal fluctuation; the standard deviation of three consecutive measurements should not exceed 3% of the measurement range, otherwise it is considered an unstable measurement; the measured value should be within the preset range (10~300 mPa·s), and data exceeding this range need to be specially marked and the operator alerted. These verification criteria are based on the actual variation patterns of fly ash slurry properties, effectively identifying measurement anomalies and improving system reliability.

[0080] The display storage unit is electrically connected to the result verification unit, used to display viscosity values ​​and uniformity index, store historical measurement data, and generate trend analysis reports. Preferably, the display interface uses charts to intuitively display real-time viscosity values ​​and uniformity index, while also displaying a 24-hour trend curve, facilitating operator monitoring of process status changes. Data storage capacity can reach more than one year, facilitating long-term process optimization and quality traceability. In practical applications, the system can generate various reports, such as daily average reports and fluctuation analysis reports, providing data support for process management.

[0081] In practical applications of this invention, the workflow of the entire device is as follows: First, the magnetic field excitation module 1 generates an alternating magnetic field of a preset frequency and intensity, preferably set to 50Hz, which has good response characteristics for fly ash slurry of common concentrations. Second, the magnetically sensitive component 2 moves under the action of the alternating magnetic field, and its motion characteristics change due to the viscosity of the slurry. Then, the magnetic field acquisition module 3 acquires the spatial distribution data of the magnetic field in real time, with a sampling frequency of 200Hz to ensure the capture of transient changes in the magnetic field. Next, the geometric feature analysis module 4 analyzes the magnetic field distribution characteristics based on differential geometry theory and extracts geometric properties such as curvature. Finally, the data integration and output module 5 calculates the viscosity value and uniformity index based on the geometric features and displays the measurement results.

[0082] This invention's device is suitable for various fly ash slurries with a viscosity range of 10~300 mPa·s, achieving a measurement accuracy of ±2%. It exhibits high sensitivity in uniformity measurement, capable of detecting 5% localized non-uniformity. The system response time is less than 2 seconds, meeting the real-time monitoring needs of industrial sites.

[0083] The beneficial effects of this invention are as follows: by introducing differential geometry theory to analyze the magnetic field distribution characteristics, non-contact synchronous measurement of fly ash slurry viscosity and uniformity is realized, solving the equipment wear problem caused by traditional contact measurement methods, improving the accuracy of uniformity measurement, realizing real-time monitoring in industrial sites, and providing a reliable technical means for process optimization and quality control of fly ash slurry treatment.

[0084] The above description is merely a preferred embodiment of the present invention and does not limit the scope of patent protection of the present invention. All equivalent structural transformations made under the inventive concept of the present invention using the contents of the present invention specification and drawings, or direct / indirect applications in other related technical fields, are included within the scope of patent protection of the present invention.

Claims

1. A fly ash slurry viscosity and uniformity measuring device based on magnetic flux method, characterized by, include: The magnetic field excitation module is used to generate an alternating magnetic field to drive the movement of the magnetically sensitive components in the slurry; The magnetically sensitive component is placed in the slurry and is driven to move by the alternating magnetic field generated by the magnetic field excitation module; A magnetic field acquisition module is installed outside the slurry container to collect spatial distribution data of the magnetic field generated by the movement of the magnetically sensitive component. The geometric feature analysis module is electrically connected to the magnetic field acquisition module. It is used to receive the spatial distribution data of the magnetic field, construct a magnetic field manifold characterization based on differential geometry theory, and extract the geometric features of the magnetic field manifold. The system also includes a data integration and output module, which is electrically connected to the geometric feature analysis module. This module receives the geometric features, calculates the viscosity value and uniformity index, and outputs the measurement results.

2. The apparatus of claim 1, wherein, The magnetic field excitation module includes: The excitation control unit is used to generate control signals; A power amplifier unit, electrically connected to the excitation control unit, is used to amplify the control signal; and an electromagnetic coil assembly, electrically connected to the power amplifier unit, is used to generate an alternating magnetic field according to the amplified control signal, the electromagnetic coil assembly being arranged around the slurry container.

3. The apparatus of claim 2, wherein, The electromagnetic coil assembly is a triaxial orthogonal coil used to generate a three-dimensional controllable magnetic field. The excitation control unit is used to adjust the frequency of the alternating magnetic field to vary within the range of 0.1 to 200 Hz.

4. The apparatus of claim 1, wherein, The magnetic sensing component includes: The magnetic rotor, a permanent magnet structure, is placed in the slurry, and its motion characteristics are affected by the viscosity of the slurry; and auxiliary magnetic particles are dispersed in the slurry to enhance the interaction between the magnetic field and the slurry.

5. The apparatus of claim 4, wherein, The magnetic rotor is a cylindrical permanent magnet with magnetic poles at both ends arranged axially and the rotation axis perpendicular to the main direction of the magnetic field. The volume fraction of the auxiliary magnetic particles is less than 5%.

6. The apparatus of claim 1, wherein, The magnetic field acquisition module includes: A Hall sensor array, positioned outside the slurry container, is used to collect magnetic field strength data in three-dimensional space. A signal conditioning unit, electrically connected to the Hall sensor array, is used to amplify and filter the magnetic field strength data; and a data acquisition unit, electrically connected to the signal conditioning unit, is used to convert the conditioned analog signal into a digital signal to form the magnetic field spatial distribution data.

7. The apparatus of claim 6, wherein, The Hall sensor array includes multiple triaxial Hall sensors forming a 12×12×3 three-dimensional spatial layout. The multiple triaxial Hall sensors are evenly distributed along the circumference of the slurry container and multiple measurement planes are set in the axial direction.

8. The apparatus of claim 1, wherein, The geometric feature analysis module includes: A magnetic field manifold construction unit is used to receive the magnetic field spatial distribution data, construct a continuous magnetic field distribution through an interpolation algorithm, and extract magnetic field isosurfaces to form a parameterized manifold. The curvature calculation unit, electrically connected to the magnetic field manifold construction unit, is used to calculate the metric tensor, principal curvature, Gaussian curvature, and mean curvature of the parameterized manifold; and the feature extraction unit, electrically connected to the curvature calculation unit, is used to extract the statistical features of the curvature distribution to form a geometric feature set.

9. The apparatus of claim 8, wherein, The geometric feature analysis module also includes: A Riemann curvature analysis unit, electrically connected with the curvature calculation unit, is configured to calculate a Riemann curvature tensor and an invariant of the parameterized manifold; and a uniformity evaluation unit, electrically connected with the Riemann curvature analysis unit, is configured to calculate a curvature variation index based on a spatial distribution characteristic of the Riemann curvature tensor, to represent the uniformity of the serum.

10. The apparatus of claim 1, wherein, The data integration and output module comprises: A property mapping unit is configured to establish a mapping relationship based on the geometric characteristics, to convert the geometric characteristics into viscosity values and uniformity indexes; A result verification unit, electrically connected with the property mapping unit, is configured to perform a rationality test on the calculation results; and a display storage unit, electrically connected with the result verification unit, is configured to display the viscosity values and the uniformity indexes, and store historical measurement data to generate a trend analysis report.

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