A method and apparatus for increasing the output of a coal mill

Abstract

The application provides a method and device for improving the output of a coal mill, comprising: constructing a parameterized model containing the roller-liner gap and the distribution of coal particles, determining the difference between the roller-liner gap and the set gap, and adjusting the position of the roller and the liner accordingly; determining the synergistic optimization relationship of the feed speed and the mill disc rotation speed, establishing the ideal nonlinear constraint between the two, and determining the ideal mill disc rotation speed or the ideal feed speed; constructing a ventilation optimization model, correcting the ventilation volume based on the air field information, establishing the quantitative correlation between the ventilation volume and the coal dust suspension speed, and adjusting the damper opening degree accordingly; using a PID controller to control the mill parameters; building a digital twin architecture to update the model parameters of the above steps in real time; the application precisely adjusts the internal structure and operating parameters of the coal mill through the construction of the parameterized model and the multi-physical field coupling calculation technology, optimizes the roller-liner gap, the feed speed and the mill disc rotation speed, precisely controls the air volume, and effectively improves the output and operating efficiency of the coal mill.

Description

Technical Field

[0001] This invention relates to the field of coal processing technology, and in particular to a method and apparatus for increasing the output of a coal mill. Background Technology

[0002] In industrial sectors such as power and heat production and coal processing, coal mills are one of the key pieces of equipment. With the continuous growth of global energy demand, thermal power generation, as one of the main power generation methods, places increasingly higher demands on the performance of coal mills. In recent years, coal mill technology has been developing towards larger scale, higher efficiency, and greater intelligence. In terms of scale, the single-unit capacity of coal mills is being continuously increased to meet the needs of large generator sets, reduce the number of equipment, and lower system complexity and cost. During coal mill operation, the gap between the grinding rollers and the liner and the distribution of coal particles are difficult to control precisely. Existing technologies cannot fully consider the dynamic changes in the stress distribution of the grinding rollers and the distribution of coal particles over time, resulting in untimely or inaccurate gap adjustments, which affect the grinding effect and the output of the coal mill. There is a lack of effective methods for the coordinated optimization of the feed rate and the grinding disc speed. The relationship between the two is complex, and existing technologies cannot establish an accurate mathematical model to determine their ideal operating state. Adjustments are often made based on experience, which cannot achieve the best match between the two and limits the grinding efficiency of the coal mill. In terms of the ventilation system, the actual ventilation volume is difficult to adjust precisely according to the real-time operating conditions of the coal mill. Due to the interaction of factors such as duct characteristics, air physical properties, and wind pressure and wind speed, existing ventilation optimization methods cannot accurately calculate and control the ventilation volume, which affects the suspension and conveying of coal powder, thereby reducing the overall efficiency of the coal mill. It is evident that there is an urgent need in this field for a method and apparatus to improve the output of coal mills in order to solve the above-mentioned problems. Summary of the Invention

[0003] This invention provides a method and apparatus for improving the output of a coal mill, aiming to solve the problems existing in the prior art. By constructing a parametric model and using multiphysics coupling calculation technology, the internal structure and operating parameters of the coal mill can be precisely adjusted, which can optimize the gap between the grinding roller and the liner, the feeding speed and the grinding disc speed, and precisely control the ventilation volume, thereby effectively improving the output and operating efficiency of the coal mill.

[0004] On one hand, the present invention provides a method for increasing the output of a coal mill, comprising: Step 1: Based on the coal quality characteristics, perform dynamic geometric modeling of the mill's internal structure, construct a parametric model that includes the gap between the grinding roller and the liner and the distribution of coal particles, determine the difference between the gap between the grinding roller and the liner and the set gap, and adjust the positions of the grinding roller and the liner accordingly. Step 2: Using multiphysics coupling calculations, determine the synergistic optimization relationship between feed rate and grinding disc speed, establish ideal nonlinear constraints between the two, and substitute the feed rate or grinding disc speed into the ideal nonlinear constraints to determine the ideal grinding disc speed or ideal feed rate. Step 3: Construct a ventilation optimization model, correct the ventilation volume based on the air field information, obtain the actual ventilation volume, and establish a quantitative correlation between it and the coal dust suspension velocity; compare the current actual ventilation volume with the preset ideal volume, and adjust the damper opening accordingly. Step 4: Use a PID controller to control the mill parameters; Step 5: Build a digital twin architecture and update the model parameters from the above steps in real time using multispectral sensing and data fusion technology.

[0005] According to a method for improving the output of a coal mill provided by the present invention, in step one, the parameterized model is used to determine the grinding roller-liner gap, specifically: ； in, The gap between the grinding roller and the liner. This refers to the number of grinding rollers; This is the stress distribution function on the surface of the grinding roller, which reflects the stress distribution on the surface of the grinding roller and is determined based on the grinding roller model or experiments. This is a coal particle size distribution matrix, used to quantify the distribution characteristics of coal particles; Let be the axial coordinate of the grinding roller surface, i.e., the stress distribution function of the grinding roller surface. Variable parameters; The time variable; the gap between the grinding roller and the liner. Used to reflect the dynamic value of the grinding roll-liner gap considering the changes in grinding roll stress distribution and coal particle distribution over time; Wherein, the coal particle size distribution matrix satisfies: ； in, This matrix represents the proportion of particles in the j-th particle size range in the i-th grinding roller region, where m is the particle size classification number. This matrix is ​​used to reflect the distribution ratio of coal particles in different particle size ranges in different grinding roller regions. Obtain the rated clearance Calculate the gap between the grinding roller and the liner. With rated clearance The difference is used to adjust the position of the grinding roller and the liner.

[0006] According to a method for improving the output of a coal mill provided by the present invention, in step two, the method for determining the synergistic optimization relationship between the feed rate and the mill rotation speed, and establishing the ideal nonlinear constraint between the two, wherein the ideal nonlinear constraint between the two is: ; in, and These are inherent constants of the equipment; Density of coal; This refers to the real-time power of the motor. This represents the rate of change of the grinding roller-liner gap over time; this formula reflects the dynamic relationship between the rate of change of the feed rate and the grinding disc speed and the change of the grinding roller-liner gap, thereby determining the feed rate. With the rotational speed of the grinding disc Ideal nonlinear constraints; Current feed rate Or grinding disc speed Substituting into the formula, the ideal grinding disc speed is obtained through calculation. or ideal feed rate ; Based on ideal grinding disc speed or ideal feed rate Adjust the grinding disc speed or feed rate accordingly.

[0007] According to a method for improving coal mill output provided by the present invention, in step three, the ventilation optimization model is: ； in, The diameter of the air duct; air density; For wind pressure field; For axial coordinates; This represents the rate of change of the wind pressure field along the axial direction. Aerodynamic viscosity; For wind speed field; Represents the velocity field The Laplace operator; It is the Reynolds number, and ; income The actual ventilation volume, after correction based on duct characteristics, air physical properties, wind pressure, and wind speed, is compared with the preset ideal air volume, and the damper opening is adjusted accordingly.

[0008] According to a method for increasing the output of a coal mill provided by the present invention, in step four, the control law of the PID controller is: ； in, This refers to the load deviation, which corresponds to adjusting the position of the grinding roller liner, adjusting the grinding disc speed or feeding speed, and adjusting the damper opening. , , These are the proportional, integral, and differential coefficients, determined based on experience or experimentation. For controller output; The corresponding adjustment of the position of the grinding roller liner, the grinding disc speed or the feeding speed, and the damper opening are achieved by the PID controller.

[0009] According to a method for improving the output of a coal mill provided by the present invention, in step five, the digital twin architecture includes: The physical layer is equipped with a multispectral CCD sensor array, which includes a near-infrared sensor for measuring the humidity distribution of pulverized coal, a terahertz sensor for detecting microcracks on the surface of the grinding roller, and an ultraviolet sensor for monitoring the combustion characteristics of pulverized coal. The data fusion layer uses tensor decomposition technology to process multi-physics coupled modeling and PID control multi-source heterogeneous data. The model update layer uses a variational autoencoder to identify parameters online, ensuring consistency between the model and the actual operating state.

[0010] On the other hand, the present invention provides an apparatus for increasing the output of a coal mill, based on a method for increasing the output of a coal mill, comprising: The geometric modeling and adjustment equipment includes a stress sensor and a multispectral particle analyzer. The stress sensor is installed on the surface of the grinding roller to collect stress data on the surface of the grinding roller in real time and determine the stress distribution function on the surface of the grinding roller. The multispectral particle analyzer monitors the coal particles in real time, obtains the particle size distribution data of the coal particles, and then constructs the particle size distribution matrix of the coal particles. The geometric modeling adjustment device has a built-in microprocessor. Based on the data from the stress and particle distribution monitoring unit, it calculates the gap between the grinding roller and the liner through the parametric model. The calculated gap value is compared with the rated gap to obtain the difference. Based on the difference, the device sends control commands to the grinding roller and liner position adjustment mechanism through a PID controller to adjust the position of the grinding roller and the liner. The multi-physics coupling control device consists of a speed sensor, a power sensor, and a density sensor; the speed sensor is used to measure the grinding disc speed, the power sensor monitors the real-time power of the motor, and the density sensor detects the coal density. The multiphysics coupling control device is equipped with a computing chip. Based on the data collected by the operating parameter monitoring unit and the rate of change of the grinding roller-liner gap over time, it calculates the ideal feed rate or the ideal grinding disc speed according to the ideal nonlinear constraint. The device controls the actions of the feed rate adjustment mechanism and the grinding disc speed adjustment mechanism through a PID controller to achieve coordinated optimization control of the feed rate and the grinding disc speed. Ventilation optimization equipment includes a wind pressure sensor, a wind speed sensor, a duct diameter measuring instrument, and a temperature sensor; the wind pressure sensor measures the wind pressure field, the wind speed sensor acquires the wind speed field, the duct diameter measuring instrument monitors the duct diameter in real time, and the temperature sensor is used to measure the ambient temperature and then calculate the air density; The ventilation optimization device has a built-in ventilation optimization model to calculate the current actual ventilation volume; it compares the calculation result with the preset ideal air volume, and sends a command to the damper opening adjustment mechanism through the PID controller based on the difference to adjust the damper opening; The digital twin architecture device includes a multispectral CCD sensor array, comprising near-infrared, terahertz, and ultraviolet sensors; the near-infrared sensor is used to measure the humidity distribution of pulverized coal, the terahertz sensor detects microcracks on the surface of the grinding roller, and the ultraviolet sensor monitors the combustion characteristics of pulverized coal. The digital twin architecture device also includes a data fusion unit for processing multi-source heterogeneous data for multi-physics coupling modeling and PID control using tensor decomposition technology; it also includes an autoencoder for online identification and updating of parameters for geometric modeling, multi-physics coupling calculation, ventilation optimization model, and PID control model.

[0011] Compared with the prior art, the beneficial effects of this application are as follows: This application constructs a parameterized model based on coal quality characteristics, incorporating the gap between the grinding roller and the liner, and the distribution of coal particles. This model can accurately determine the dynamic value of the gap. By comparing the gap with the rated gap, the positions of the grinding roller and the liner are adjusted in a timely manner. This fully considers the changes in grinding roller stress and coal particle distribution over time, ensuring that the grinding components are always in optimal fit. Compared with the lack of precise control in existing technologies, this significantly improves the grinding effect. This application utilizes multiphysics coupling calculations to establish an ideal nonlinear constraint relationship between the feed rate and the grinding disc speed. Through this relationship, the ideal values ​​of the two can be calculated and adjusted according to the actual operating conditions, realizing the coordinated optimization of the feed rate and the grinding disc speed. This changes the drawback of relying on experience for adjustment in the existing technology, enabling the coal mill to process coal more efficiently during the grinding process, thereby increasing the output of the coal mill. This application constructs a ventilation optimization model, calculates the actual ventilation volume by integrating multiple factors, and adjusts the damper opening by comparing it with the preset ideal volume, establishing a quantitative correlation with the suspension velocity of pulverized coal. This optimization enables the ventilation system to better adapt to the real-time operating conditions of the coal mill, ensuring that pulverized coal is fully suspended and transported. Compared with existing ventilation control methods, it effectively improves the overall operating efficiency and output of the coal mill. A digital twin architecture is built, multi-spectral sensing is used to collect data from multiple sources, tensor decomposition technology is used to process multi-source heterogeneous data, and online parameter identification is achieved based on variational autoencoder. This enables the model to reflect the actual operating status of the coal mill in real time, and the model parameters can be adjusted and optimized in a timely manner to ensure the continuous and effective operation of the entire scheme to improve the output of the coal mill, overcoming the problem of the disconnect between the model and the actual operating status in the existing technology.

[0012] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0013] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0014] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic flowchart of a method for improving the output of a coal mill according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a device for improving the output of a coal mill, provided in an embodiment of the present invention. Detailed Implementation

[0015] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0016] Example 1: This invention provides a method for increasing the output of a coal mill. Please refer to [link / reference]. Figure 1 ,include: Step 1: Based on the coal quality characteristics, perform dynamic geometric modeling of the mill's internal structure, construct a parametric model that includes the gap between the grinding roller and the liner and the distribution of coal particles, determine the difference between the gap between the grinding roller and the liner and the set gap, and adjust the positions of the grinding roller and the liner accordingly. Step 2: Using multiphysics coupling calculations, determine the synergistic optimization relationship between feed rate and grinding disc speed, establish ideal nonlinear constraints between the two, and substitute the feed rate or grinding disc speed into the ideal nonlinear constraints to determine the ideal grinding disc speed or ideal feed rate. Step 3: Construct a ventilation optimization model, correct the ventilation volume based on the air field information, obtain the actual ventilation volume, and establish a quantitative correlation between it and the coal dust suspension velocity; compare the current actual ventilation volume with the preset ideal volume, and adjust the damper opening accordingly. Step 4: Use a PID controller to control the mill parameters; Step 5: Build a digital twin architecture and update the model parameters from the above steps in real time using multispectral sensing and data fusion technology.

[0017] It should be noted that this embodiment constructs a parameterized model based on coal quality characteristics, adjusts the positions of the grinding rollers and liners in real time, optimizes the roller-liner gap, adapts to different coal types, and improves grinding efficiency. Ideal nonlinear constraints on the feed rate and grinding disc speed are determined to achieve synergistic optimization between the two, avoiding over-grinding or under-grinding and improving the mill's processing capacity. A ventilation optimization model is constructed to precisely adjust the ventilation airflow, ensuring effective suspension and conveying of pulverized coal, preventing blockages and accumulation, and improving the mill's operational stability. A PID controller is used to achieve closed-loop control of the mill's operating parameters. Combined with a digital twin architecture and multispectral sensing technology, model parameters are updated in real time to optimize the operating status. Comprehensive optimization of the mill's grinding, ventilation, and control systems significantly improves output, meets production needs, enhances operational stability, reduces failure rates, optimizes operating parameters, reduces energy consumption and equipment wear, extends equipment lifespan, reduces maintenance costs, and improves economic efficiency.

[0018] To further optimize the above embodiments, in step one, the parameterized model is used to determine the grinding roller-liner gap, specifically as follows: ； in, The gap between the grinding roller and the liner. This refers to the number of grinding rollers; This is the stress distribution function on the surface of the grinding roller, which reflects the stress distribution on the surface of the grinding roller and is determined based on the grinding roller model or experiments. This is a coal particle size distribution matrix, used to quantify the distribution characteristics of coal particles; Let be the axial coordinate of the grinding roller surface, i.e., the stress distribution function of the grinding roller surface. Variable parameters; The time variable; the gap between the grinding roller and the liner. Used to reflect the dynamic value of the grinding roll-liner gap considering the changes in grinding roll stress distribution and coal particle distribution over time; Wherein, the coal particle size distribution matrix satisfies: ； in, This matrix represents the proportion of particles in the j-th particle size range in the i-th grinding roller region, where m is the particle size classification number. This matrix is ​​used to reflect the distribution ratio of coal particles in different particle size ranges in different grinding roller regions. Obtain the rated clearance Calculate the gap between the grinding roller and the liner. With rated clearance The difference is used to adjust the position of the grinding roller and the liner.

[0019] It should be noted that this embodiment determines the surface stress distribution function of the grinding roller based on the grinding roller model or experimental results, and constructs a parameterized model to calculate the dynamic value of the grinding roller-liner gap by combining the coal particle size distribution matrix. This value comprehensively considers the changes in grinding roller stress and coal particle distribution over time. The difference is obtained by comparing it with the rated gap, and the gap is precisely adjusted based on the difference.

[0020] To further optimize the above embodiments, in step two, in determining the synergistic optimization relationship between the feed rate and the grinding disc speed, and establishing the ideal nonlinear constraint between them, the ideal nonlinear constraint between them is as follows: ; in, and These are inherent constants of the equipment; Density of coal; This refers to the real-time power of the motor. This represents the rate of change of the grinding roller-liner gap over time; this formula reflects the dynamic relationship between the rate of change of the feed rate and the grinding disc speed and the change of the grinding roller-liner gap, thereby determining the feed rate. With the rotational speed of the grinding disc Ideal nonlinear constraints; Current feed rate Or grinding disc speed Substituting into the formula, the ideal grinding disc speed is obtained through calculation. or ideal feed rate ; Based on ideal grinding disc speed or ideal feed rate Adjust the grinding disc speed or feed rate accordingly.

[0021] It should be noted that this nonlinear constraint establishes a relationship between the feed rate change rate and the grinding disc rotation speed and the grinding roller-liner gap by introducing key parameters such as the equipment's inherent constants, coal density, real-time motor power, and the rate of change of the grinding roller-liner gap over time. Using mathematical forms such as the hyperbolic tangent function, the complex relationship between them is quantified, thereby deriving the ideal nonlinear constraint on the feed rate and grinding disc rotation speed, achieving synergistic optimization of both.

[0022] To further optimize the above embodiments, in step three, the ventilation optimization model is as follows: ； in, The diameter of the air duct; air density; For wind pressure field; For axial coordinates; This represents the rate of change of the wind pressure field along the axial direction. Aerodynamic viscosity; For wind speed field; Represents the velocity field The Laplace operator; It is the Reynolds number, and ; income The actual ventilation volume, after correction based on duct characteristics, air physical properties, wind pressure, and wind speed, is compared with the preset ideal air volume, and the damper opening is adjusted accordingly.

[0023] It should be noted that the ventilation optimization model integrates multiple factors to accurately calculate the actual ventilation volume. The duct diameter determines the cross-sectional area of ​​the ventilation system, affecting the air volume; air density and dynamic viscosity are inherent physical properties of air and participate in the air volume calculation. The rate of change of the wind pressure field along the axial direction, the wind speed field, and their Laplace operator reflect the airflow state. The Reynolds number integrates air density, wind speed, duct diameter, and dynamic viscosity, reflecting the airflow characteristics. By comprehensively considering these factors to calculate the actual air volume, comparing it with the ideal air volume, and then adjusting the damper opening, the ventilation system is optimized.

[0024] To further optimize the above embodiment, in step four, the control law of the PID controller is: ； in, This refers to the load deviation, which corresponds to adjusting the position of the grinding roller liner, adjusting the grinding disc speed or feeding speed, and adjusting the damper opening. , , These are the proportional, integral, and differential coefficients, determined based on experience or experimentation. For controller output; It should be noted that the corresponding adjustment of the position of the grinding roller liner, the adjustment of the grinding disc speed or the feeding speed, and the adjustment of the damper opening are achieved by the PID controller.

[0025] To further optimize the above embodiments, in step five, the digital twin architecture includes: The physical layer is equipped with a multispectral CCD sensor array, which includes a near-infrared sensor for measuring the humidity distribution of pulverized coal, a terahertz sensor for detecting microcracks on the surface of the grinding roller, and an ultraviolet sensor for monitoring the combustion characteristics of pulverized coal. The data fusion layer uses tensor decomposition technology to process multi-physics coupled modeling and PID control multi-source heterogeneous data. The model update layer uses a variational autoencoder to identify parameters online, ensuring consistency between the model and the actual operating state.

[0026] It should be noted that by deploying a multispectral CCD sensor array, precise data acquisition is achieved by utilizing the characteristics of sensors in different wavebands. The near-infrared band is sensitive to moisture and can effectively measure the humidity distribution of pulverized coal; terahertz waves can penetrate materials of a certain thickness and are used to detect micro-cracks on the surface of grinding rollers; the ultraviolet band is suitable for monitoring the combustion characteristics of pulverized coal, obtaining real-time physical data of the coal mill operation from multiple dimensions. Tensor decomposition technology is employed to extract key features and patterns from the multi-source heterogeneous data generated during multi-physics coupled modeling and PID control, according to specific mathematical decomposition rules. This transforms complex data into a more easily processed and analyzed form, eliminating redundancy and conflicts between data, and providing high-quality data support for subsequent model updates. Based on a variational autoencoder, an autoencoder neural network structure is constructed to encode and decode the input data. Data features are extracted during encoding, and data is reconstructed during decoding. By comparing the differences between the reconstructed data and the original data, the parameters of the encoder and decoder are continuously optimized, thereby achieving online identification of model parameters. This allows the model to follow the actual operating state changes of the coal mill in real time and maintain a high degree of consistency.

[0027] Example 2: This invention provides a device for increasing the output of a coal mill. Please refer to [link / reference]. Figure 2 ,include: The geometric modeling and adjustment equipment includes a stress sensor and a multispectral particle analyzer. The stress sensor is installed on the surface of the grinding roller to collect stress data on the surface of the grinding roller in real time and determine the stress distribution function on the surface of the grinding roller. The multispectral particle analyzer monitors the coal particles in real time, obtains the particle size distribution data of the coal particles, and then constructs the particle size distribution matrix of the coal particles. The geometric modeling adjustment device has a built-in microprocessor. Based on the data from the stress and particle distribution monitoring unit, it calculates the gap between the grinding roller and the liner through the parametric model. The calculated gap value is compared with the rated gap to obtain the difference. Based on the difference, the device sends control commands to the grinding roller and liner position adjustment mechanism through a PID controller to adjust the position of the grinding roller and the liner. The multi-physics coupling control device consists of a speed sensor, a power sensor, and a density sensor; the speed sensor is used to measure the grinding disc speed, the power sensor monitors the real-time power of the motor, and the density sensor detects the coal density. The multiphysics coupling control device is equipped with a computing chip. Based on the data collected by the operating parameter monitoring unit and the rate of change of the grinding roller-liner gap over time, it calculates the ideal feed rate or the ideal grinding disc speed according to the ideal nonlinear constraint. The device controls the actions of the feed rate adjustment mechanism and the grinding disc speed adjustment mechanism through a PID controller to achieve coordinated optimization control of the feed rate and the grinding disc speed. Ventilation optimization equipment includes a wind pressure sensor, a wind speed sensor, a duct diameter measuring instrument, and a temperature sensor; the wind pressure sensor measures the wind pressure field, the wind speed sensor acquires the wind speed field, the duct diameter measuring instrument monitors the duct diameter in real time, and the temperature sensor is used to measure the ambient temperature and then calculate the air density; The ventilation optimization device has a built-in ventilation optimization model to calculate the current actual ventilation volume; it compares the calculation result with the preset ideal air volume, and sends a command to the damper opening adjustment mechanism through the PID controller based on the difference to adjust the damper opening; The digital twin architecture device includes a multispectral CCD sensor array, comprising near-infrared, terahertz, and ultraviolet sensors; the near-infrared sensor is used to measure the humidity distribution of pulverized coal, the terahertz sensor detects microcracks on the surface of the grinding roller, and the ultraviolet sensor monitors the combustion characteristics of pulverized coal. The digital twin architecture device also includes a data fusion unit for processing multi-source heterogeneous data for multi-physics coupling modeling and PID control using tensor decomposition technology; it also includes an autoencoder for online identification and updating of parameters for geometric modeling, multi-physics coupling calculation, ventilation optimization model, and PID control model.

[0028] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for increasing the output of a coal mill, characterized in that, include: Step 1: Based on the coal quality characteristics, perform dynamic geometric modeling of the mill's internal structure, construct a parametric model that includes the gap between the grinding roller and the liner and the distribution of coal particles, determine the difference between the gap between the grinding roller and the liner and the set gap, and adjust the positions of the grinding roller and the liner accordingly. Step 2: Using multiphysics coupling calculations, determine the synergistic optimization relationship between feed rate and grinding disc speed, establish ideal nonlinear constraints between the two, and substitute the feed rate or grinding disc speed into the ideal nonlinear constraints to determine the ideal grinding disc speed or ideal feed rate. Step 3: Construct a ventilation optimization model, correct the ventilation volume based on the air field information, obtain the actual ventilation volume, and establish a quantitative correlation between it and the coal dust suspension velocity; compare the current actual ventilation volume with the preset ideal volume, and adjust the damper opening accordingly. Step 4: Use a PID controller to control the mill parameters; Step 5: Build a digital twin architecture and update the model parameters from the above steps in real time using multispectral sensing and data fusion technology; In step one, the parameterized model is used to determine the grinding roller-liner gap, specifically: ； in, The gap between the grinding roller and the liner. This refers to the number of grinding rollers; This is the stress distribution function on the surface of the grinding roller, reflecting the stress distribution on the surface of the grinding roller, and is determined based on the grinding roller model or experiments; This is a coal particle size distribution matrix, used to quantify the distribution characteristics of coal particles; Let be the axial coordinate of the grinding roller surface, i.e., the stress distribution function of the grinding roller surface. Variable parameters; The time variable; the gap between the grinding roller and the liner. Used to reflect the dynamic value of the grinding roll-liner gap considering the changes in grinding roll stress distribution and coal particle distribution over time; Wherein, the coal particle size distribution matrix satisfies: ； in, This matrix represents the proportion of particles in the j-th particle size range in the i-th grinding roller region, where m is the particle size classification number. This matrix is ​​used to reflect the distribution ratio of coal particles in different particle size ranges in different grinding roller regions. Obtain the rated clearance Calculate the gap between the grinding roller and the liner. With rated clearance The difference is used to adjust the position of the grinding roller and the liner.

2. The method for increasing the output of a coal mill according to claim 1, characterized in that, In step two, the process of determining the synergistic optimization relationship between the feed rate and the grinding disc speed, and establishing the ideal nonlinear constraint between them, is as follows: ； in, and These are inherent constants of the equipment; Density of coal; This refers to the real-time power of the motor. This represents the rate of change of the grinding roller-liner gap over time; this formula reflects the dynamic relationship between the rate of change of the feed rate and the grinding disc speed and the change of the grinding roller-liner gap, thereby determining the feed rate. With the rotational speed of the grinding disc Ideal nonlinear constraints; Current feed rate Or grinding disc speed Substituting into the formula, the ideal grinding disc speed is obtained through calculation. or ideal feed rate ; Based on ideal grinding disc speed or ideal feed rate Adjust the grinding disc speed or feed rate accordingly.

3. The method for increasing the output of a coal mill according to claim 2, characterized in that, In step three, the ventilation optimization model is as follows: ； in, The diameter of the air duct; air density; For wind pressure field; For axial coordinates; This represents the rate of change of the wind pressure field along the axial direction. Aerodynamic viscosity; For wind speed field; Represents the velocity field The Laplace operator; Let be the Reynolds number, and ; income The actual ventilation volume, after correction based on duct characteristics, air physical properties, wind pressure, and wind speed, is compared with the preset ideal air volume, and the damper opening is adjusted accordingly.

4. The method for increasing the output of a coal mill according to claim 3, characterized in that, In step four, the control law of the PID controller is: ； in, This refers to the load deviation, which corresponds to adjusting the position of the grinding roller liner, adjusting the grinding disc speed or feeding speed, and adjusting the damper opening. , , These are the proportional, integral, and differential coefficients, determined based on experience or experimentation. For controller output; The corresponding adjustment of the position of the grinding roller liner, the grinding disc speed or the feeding speed, and the damper opening are achieved by the PID controller.

5. A method for increasing the output of a coal mill according to claim 4, characterized in that, In step five, the digital twin architecture includes: The physical layer is equipped with a multispectral CCD sensor array, which includes a near-infrared sensor for measuring the humidity distribution of pulverized coal, a terahertz sensor for detecting microcracks on the surface of the grinding roller, and an ultraviolet sensor for monitoring the combustion characteristics of pulverized coal. The data fusion layer uses tensor decomposition technology to process multi-physics coupled modeling and PID control multi-source heterogeneous data. The model update layer uses a variational autoencoder to identify parameters online, ensuring consistency between the model and the actual operating state.

6. A device for increasing the output of a coal mill, based on the method described in claims 1-5, characterized in that, include: Geometric modeling and adjustment equipment, which includes a stress sensor and a multispectral particle analyzer; Stress sensors are installed on the surface of the grinding roller to collect stress data on the surface of the grinding roller in real time and determine the stress distribution function on the surface of the grinding roller; a multispectral particle analyzer monitors coal particles in real time, obtains coal particle size distribution data, and then constructs a coal particle size distribution matrix. The geometric modeling adjustment device has a built-in microprocessor. Based on the data from the stress and particle distribution monitoring unit, it calculates the gap between the grinding roller and the liner through the parametric model. The calculated gap value is compared with the rated gap to obtain the difference. Based on the difference, the device sends control commands to the grinding roller and liner position adjustment mechanism through a PID controller to adjust the position of the grinding roller and the liner. The multi-physics coupling control device consists of a speed sensor, a power sensor, and a density sensor; the speed sensor is used to measure the grinding disc speed, the power sensor monitors the real-time power of the motor, and the density sensor detects the coal density. The multiphysics coupling control device is equipped with a computing chip. Based on the data collected by the operating parameter monitoring unit and the rate of change of the grinding roller-liner gap over time, it calculates the ideal feed rate or the ideal grinding disc speed according to the ideal nonlinear constraint. The device controls the actions of the feed rate adjustment mechanism and the grinding disc speed adjustment mechanism through a PID controller to achieve coordinated optimization control of the feed rate and the grinding disc speed. Ventilation optimization equipment includes a wind pressure sensor, a wind speed sensor, a duct diameter measuring instrument, and a temperature sensor; the wind pressure sensor measures the wind pressure field, the wind speed sensor acquires the wind speed field, the duct diameter measuring instrument monitors the duct diameter in real time, and the temperature sensor is used to measure the ambient temperature and then calculate the air density; The ventilation optimization device has a built-in ventilation optimization model to calculate the current actual ventilation volume; it compares the calculation result with the preset ideal air volume, and sends a command to the damper opening adjustment mechanism through the PID controller based on the difference to adjust the damper opening; The digital twin architecture device includes a multispectral CCD sensor array, comprising near-infrared, terahertz, and ultraviolet sensors; the near-infrared sensor is used to measure the humidity distribution of pulverized coal, the terahertz sensor detects microcracks on the surface of the grinding roller, and the ultraviolet sensor monitors the combustion characteristics of pulverized coal. The digital twin architecture device also includes a data fusion unit for processing multi-source heterogeneous data for multi-physics coupling modeling and PID control using tensor decomposition technology; it also includes an autoencoder for online identification and updating of parameters for geometric modeling, multi-physics coupling calculation, ventilation optimization model, and PID control model.

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