CN-122020981-A - Building material fluid equipment heating method and system based on multidimensional data analysis

CN122020981ACN 122020981 ACN122020981 ACN 122020981ACN-122020981-A

Abstract

The invention discloses a building material fluid equipment heating method and system based on multidimensional data analysis, and particularly relates to the field of industrial heating. According to the invention, through data acquisition and sensor deployment, real-time monitoring of the working state of the fluid equipment is realized, accurate data is provided for subsequent analysis, secondly, data preprocessing and establishment of a multidimensional data analysis model reveal interaction relations among all physical fields in the fluid equipment, scientific basis is provided for optimizing the heating process, and finally, a control strategy designed according to multidimensional data analysis results is used for realizing accurate control of the heating process of the fluid equipment, and energy efficiency and production efficiency are improved.

Inventors

SHEN KAI
TIAN GENSHENG
HAO SHUAI
ZHANG JINGDONG
WU XIAOYU

Assignees

郓城禹豪防水科技发展有限公司

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (10)

1. A method of heating a building material fluid device based on multidimensional data analysis, comprising: step 1, data acquisition and sensor deployment, namely monitoring electromagnetic field coupling characteristics, interface energy conversion and multiple physical field coupling parameters of target fluid equipment through deployment sensors; step 2, preprocessing the data, namely preprocessing the data acquired in the step 1; Step 3, multidimensional data analysis, which is to establish a multidimensional data analysis model to carry out multidimensional data analysis on the preprocessed data; and 4, designing a control strategy according to the multidimensional data analysis result.
2. The method for heating a building material fluid device based on multidimensional data analysis as claimed in claim 1, wherein the electromagnetic field coupling characteristics in the step 1 comprise a device body resonance frequency response value, a material electromagnetic induction coefficient, an electromagnetic shielding interference degree and a magnetic field penetration attenuation curve index, the interface energy conversion comprises a material particle-to-particle capacitance effect value, an interface polarization intensity, an electric double layer energy density and a dielectric loss factor dynamic change rate, and the multiple physical field coupling parameters comprise a thermo-mechanical-electric multiple field coupling coefficient, a plasma conductivity, a Maxwell stress tensor and an eddy current-heat flow-mass flow mutual feed intensity coefficient.
3. The building material fluid equipment heating method based on multidimensional data analysis as claimed in claim 1, wherein: Step 2, preprocessing the electromagnetic field coupling characteristic, the interface energy conversion and the multi-physical field coupling parameter acquired in step 1 through an electromagnetic field coupling characteristic formula, an interface energy conversion formula and a multi-physical field coupling parameter formula; the multidimensional data analysis model comprises an electromagnetic-thermal coupling efficiency analysis model, an interface energy conversion analysis model and a multi-field coupling strength analysis model; The control strategies include an energy efficiency control strategy, a power balance control strategy and a field intensity distribution control strategy.
4. The method for heating a building material fluid device based on multidimensional data analysis as recited in claim 3, wherein the electromagnetic-thermal coupling efficiency analysis model is specifically expressed as: η represents an electromagnetic-thermal conversion coefficient, k1 represents an electromagnetic-thermal conversion coefficient, μ represents magnetic permeability of a material, μ0 represents vacuum magnetic permeability, σ represents material conductivity, E represents applied electric field strength, ρ represents material density, cp represents material specific heat capacity, d represents material actual thickness, and δ represents skin depth of electromagnetic waves in the material.
5. The method for heating a building material fluid device based on multidimensional data analysis as recited in claim 3, wherein the interfacial energy conversion analysis model is specifically expressed as: P represents a multi-field coupling energy absorption coefficient, k2 represents an interface energy conversion coefficient, εr represents a material relative dielectric constant, ε0 represents a vacuum dielectric constant, ω represents an electromagnetic field angular frequency, e| represents a modulus of electric field strength, tan delta represents a dielectric loss tangent, and σ represents a material conductivity.
6. The method for heating a building material fluid device based on multidimensional data analysis as recited in claim 3, wherein the multidimensional data analysis model is specifically expressed as: i represents a field coupling integrated characteristic value, k3 represents a multi-field coupling adjustment coefficient, ∂ T/∂ T represents a partial derivative of temperature with respect to time, v represents a material motion velocity vector, ∇ T represents a temperature gradient, alpha represents a material thermal diffusion coefficient, ∇ 2 T represents a Laplacian operator of temperature, Q (E, H) represents an electromagnetic field energy conversion function, k4 represents an energy conversion adjustment coefficient, and E| represents a modulus of electric field strength.
7. The method for heating building material fluid equipment based on multidimensional data analysis according to claim 3, wherein the energy efficiency control strategy is characterized in that when 0.4 eta < eta_ref, a voltage control command UV=UV_base+0.15UV_base, a frequency control command f=f_base+2000, a speed control command v=0.9v_base, when 0.4 eta_ref is less than or equal to eta less than or equal to 1.2 eta_ref, a voltage maintenance command UV=UV_base, a frequency maintenance command f=f_base, a speed maintenance command v=v_base, when eta >1.2 eta_ref, a voltage control command UV=UV_base-0.12UV_base, a frequency control command f=f_base-1500, and a speed control command v=1.08 v_base.
8. The method for heating building material fluid equipment based on multidimensional data analysis according to claim 3, wherein the power balance control strategy is characterized in that when P <0.85P_ref, the power balance control strategy comprises a power lifting instruction P_in=P_in_base+0.2P_in_base, a resonance compensation instruction C=C_base+0.1C_base, an impedance matching instruction Z=Z_base-0.15Z_base, when P < 1.15P_ref is less than or equal to 0.85P_ref, a power maintaining instruction P_in=P_in_base, a resonance maintaining instruction C=C_base, an impedance maintaining instruction Z=Z_base, when P >1.15P_ref, a power reducing instruction P_in=P_in_base-0.18P_in_base, a resonance adjusting instruction C=C_base-0.08C_base, and an impedance adjusting instruction Z=Z_base+0.12Z_base.
9. The method for heating building material fluid equipment based on multidimensional data analysis according to claim 3, wherein the field intensity distribution control strategy is characterized in that when I <0.9I_ref, a field intensity enhancement command E=E_base+0.25E_base, a phase adjustment command phi=phi_base+30 degrees, a waveguide adjustment command h=h_base-0.1h_base, when I <0.9I_ref is less than or equal to 1.1I_ref, a field intensity maintenance command E=E_base, a phase maintenance command phi=phi_base, a waveguide maintenance command h=h_base, and when I < 1.1I_ref, a field intensity attenuation command E=E_base-0.22E_base, a phase adjustment command phi=phi_base-25 degrees, and a waveguide adjustment command h=h_base+0.08h_base.
10. A building material fluid equipment heating method based on multidimensional data analysis, for realizing the building material fluid equipment heating method based on multidimensional data analysis as claimed in any one of claims 1 to 9, comprising: the data acquisition and sensor deployment module monitors electromagnetic field coupling characteristics, interface energy conversion and multi-physical field coupling parameters of the target fluid device through deployment sensors and transmits the electromagnetic field coupling characteristics, the interface energy conversion and the multi-physical field coupling parameters to the data preprocessing module; the data preprocessing module is used for preprocessing the data acquired by the data acquisition and sensor deployment module and transmitting the data to the multidimensional data analysis module; The multidimensional data analysis module is used for establishing a multidimensional data analysis model to carry out multidimensional data analysis on the preprocessed data and transmitting the multidimensional data analysis to the control strategy design module; And the control strategy design module is used for designing a control strategy according to the multidimensional data analysis result.

Description

Building material fluid equipment heating method and system based on multidimensional data analysis Technical Field The invention relates to the technical field of building material processing, in particular to a heating method and a heating system for building material fluid equipment based on multidimensional data analysis. Background The operation flow of the existing building material fluid equipment is approximately as follows, firstly, materials to be heated are loaded into the equipment main body, then, the equipment main body starts to rotate to ensure that the materials are uniformly distributed in the equipment and are fully heated, meanwhile, an external electromagnetic generating device generates a high-frequency alternating magnetic field, penetrates through the equipment main body and induces vortex in the materials, the vortex flows in the materials and generates heat, and therefore heating of the materials is achieved, and in the heating process, the heating temperature and the heating rate of the materials can be controlled by adjusting the intensity and the frequency of the electromagnetic field. However, despite the advantages of the existing electromagnetic heating fluid device, there are some disadvantages in practical application, on one hand, the monitoring and control of the electromagnetic field, the temperature field and the material heating process inside the fluid device are not accurate enough, resulting in that the heating efficiency still has room for improvement, and the energy consumption is relatively high, and on the other hand, the prior art lacks an effective means to adjust and optimize the heating process in real time to adapt to the changes of different materials and process requirements, thereby limiting the further improvement of the production efficiency. Disclosure of Invention In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present invention provide a heating method and system for a building material fluid device based on multidimensional data analysis, which solve the problems set forth in the background art. In order to achieve the purpose, the invention provides the following technical scheme that the building material fluid equipment heating method based on multidimensional data analysis comprises the following steps: step 1, data acquisition and sensor deployment, namely monitoring electromagnetic field coupling characteristics, interface energy conversion and multiple physical field coupling parameters of target fluid equipment through deployment sensors; step 2, preprocessing the data, namely preprocessing the data acquired in the step 1; Step 3, multidimensional data analysis, which is to establish a multidimensional data analysis model to carry out multidimensional data analysis on the preprocessed data; and 4, designing a control strategy according to the multidimensional data analysis result. Preferably, in the step 1, the electromagnetic field coupling characteristic includes a device body resonance frequency response value, a material electromagnetic induction coefficient, an electromagnetic shielding interference degree and a magnetic field penetration attenuation curve index, the interface energy conversion includes a material particle-particle capacitance effect value, an interface polarization intensity, an electric double layer energy density and a dielectric loss factor dynamic change rate, and the multiple physical field coupling parameter includes a thermo-mechanical-electric multiple field coupling coefficient, a plasma conductivity, a Maxwell stress tensor and an eddy current-heat flow-mass flow mutual feed intensity coefficient. Preferably, the resonance frequency response value of the main body of the device is obtained by connecting a Keysight spectrum analyzer to an induction coil arranged in the main body of the device, gradually adjusting the frequency of an external signal generator, gradually scanning from the lowest, recording the frequency of the peak value of the response current of the main body of the device, wherein the frequency is the resonance frequency response of the main body of the device, the electromagnetic induction coefficient of the material is obtained by selecting a material sample with a known size in a laboratory, using a AGILENT LCR METER measuring instrument, winding a coil on the material sample and supplying a known alternating current, measuring the induced electromotive force induced by the material, calculating the electromagnetic induction coefficient according to an induction coefficient formula, the electromagnetic shielding interference degree is obtained by simultaneously placing two electromagnetic interference probes inside and outside the main body of the device, starting an emitter to emit electromagnetic interference with known intensity, measuring the field intensity value of the external probe of the main body of the device, calculating the attenuation