Powder production system based on suspension preheating decomposition kiln particle size classification

Abstract

The present application relates to a powder production system based on particle size classification of a suspension preheating decomposition kiln, and belongs to the technical field of lime powder production. The system comprises: a classification module that classifies raw powder according to particle size to obtain multiple particle size raw materials; a feeding port configuration module that calculates the batching height of each particle size raw material according to the characteristics of the raw material of the raw powder, and configures the corresponding batching port; a feature determination module that generates the coal injection area characteristics of each particle size raw material according to the batching port; a fuel supply module that configures the coal injection parameters of the multi-point coal injection port according to the coal injection area characteristics of each particle size raw material, with the maximum calcination efficiency as the target; and a control module that controls the execution of the coal injection parameters of the multi-point coal injection port during the calcination of the suspension preheating decomposition kiln until the production of lime powder is completed. The present system realizes sufficient calcination of raw material particles of different particle sizes, and improves the purity and pass rate of finished lime powder.

Description

Technical Field

[0001] This invention relates to the field of lime powder production technology, and in particular to a powder production system based on particle size classification in a suspension preheating decomposition kiln. Background Technology

[0002] Currently, the suspension preheating decomposition kiln is a new type of high-efficiency heat treatment equipment, mainly used for calcination to produce lime powder. Compared with the traditional rotary kiln, the suspension preheating decomposition kiln feeds powdered coal and raw materials through the kiln top, and then completes the production of lime powder by calcination for 1.3-1.5 seconds.

[0003] However, in traditional processes, raw materials of different particle sizes in suspension preheating decomposition kilns are only screened and then directly calcined without different control of pulverized coal injection parameters for different particle sizes. This leads to the problem of insufficient calcination of particles, and fine particles are prone to over-burning, agglomeration, and caking, which directly affects the purity of the finished lime powder and results in a low qualified rate of finished lime powder. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a powder production system based on particle size classification in a suspension preheating decomposition kiln. The technical solution of this invention is as follows: A powder production system based on particle size classification in a suspension preheating decomposition kiln includes: The classification module is used to classify the particle size of the raw powder at the outlet of the suspension preheating decomposition kiln to obtain raw materials with multiple particle sizes. The feeding port configuration module is used to calculate the feeding height of each particle size raw material according to the raw material characteristics of the starch, and to configure each particle size raw material to the feeding port of the corresponding feeding height according to the feeding height of each particle size raw material. The feature determination module is used to generate the pulverized coal injection zone features for each particle size raw material based on the feeding port height corresponding to each particle size raw material. The fuel supply module is used to configure the pulverized coal injection parameters of multiple injection points based on the characteristics of the pulverized coal injection area for each particle size raw material, with the goal of maximizing calcination efficiency. The control module is used to control the pulverized coal injection parameters of the multi-point pulverized coal injection nozzles during the calcination of the suspension preheating decomposition kiln until the production of lime powder is completed.

[0005] Preferably, the classification module includes: The coarse classification unit is used to coarsely classify the raw powder from the raw material grinding outlet of the suspension preheating decomposition kiln through the screening port of the classifier. The raw powder that passes through the screening port is the original fine raw powder, and the raw powder that does not pass through the screening port is the original coarse raw powder. The fine classification unit is used to calculate the rotational speed of the rotor blades of the rotor equipment according to the preset particle size threshold, and configure the rotational speed of the rotor blades in the rotor equipment. The original fine raw powder passing through the rotor equipment is classified into fine particle size raw material, and the original fine raw powder not passing through the rotor equipment is classified into coarse particle size raw material. The original coarse raw powder, fine particle size raw material and coarse particle size raw material are used as multiple particle size raw materials.

[0006] Preferably, the feeding port configuration module includes: The particle size feature construction unit is used to construct the particle size feature vector of each particle size raw material based on the raw material characteristics of the starch and the average raw material diameter of each particle size raw material. Particle swarm construction unit, used to generate virtual particle swarms for each particle size raw material based on the particle size feature vector of each particle size raw material; The feeding height determination unit is used to construct the three-dimensional coordinate system of the suspension preheating decomposition kiln and determine the local optimal solution of the virtual particle group of each particle size raw material in the three-dimensional coordinate system of the suspension preheating decomposition kiln. Based on the local optimal solution of the virtual particle group of each particle size raw material, the feeding height of each particle size raw material is generated. The feeding port configuration unit is used to configure each particle size raw material to the corresponding feeding port at the feeding height according to the feeding height of each particle size raw material.

[0007] Preferably, the particle swarm building unit includes: The mass distribution function construction sub-unit is used to construct the mass distribution function for each particle size raw material based on the particle size feature vector of each particle size raw material; The singularity index calculation subunit is used to calculate the singularity index distribution of each particle size material based on the mass distribution function of each particle size material, and to construct the fractal feature vector of each particle size material based on the maximum value, minimum value and singularity width of the singularity index. The virtual particle group generation subunit is used to calculate the number of particles of each particle size material based on the preset mass of each particle size material, and to arrange all the particles of each particle size material according to the fractal feature vector of each particle size material and the number of particles of each particle size material to obtain the virtual particle group of each particle size material.

[0008] Preferably, the feeding height determining unit includes: The coordinate system construction sub-unit is used to determine the outer frame boundary of the suspension preheating decomposition kiln according to the factory setting parameters of the suspension preheating decomposition kiln. Based on the outer frame boundary of the suspension preheating decomposition kiln, a three-dimensional coordinate system is constructed with the center of the suspension preheating decomposition kiln as the origin and the three coordinate axes forming a right-handed coordinate system. The motion description subunit is used to take the center particle of the virtual particle group of each particle size raw material as the representative point of the virtual particle group of each particle size raw material, and construct the falling trajectory equation of each representative point according to the three-dimensional coordinate system of the suspension preheating decomposition kiln. The fitness calculation subunit is used to calculate the fitness of multiple reference heights based on the preset weight coefficients of each particle size raw material and the falling trajectory equation of each representative point, and select the reference height with the highest fitness as the local optimal solution of the virtual particle group of each particle size raw material corresponding to each representative point. The batching height generation subunit is used to generate the batching height of each particle size raw material based on the local optimum solution of the virtual particle group for each particle size raw material.

[0009] Preferably, the feature determination module includes: The boundary determination unit is used to determine the particle size boundary of the target particle size raw material based on the virtual particle group of the target particle size raw material, and to obtain the raw material characteristics of the target particle size raw material, wherein the target particle size raw material is any particle size raw material. A pulverized coal injection port pre-selection unit is used to select multiple pulverized coal injection ports whose distance from the particle size boundary of the target particle size raw material is less than the pulverized coal injection distance threshold as multiple pre-selected pulverized coal injection ports for the target particle size raw material. The topological potential field construction unit is used to generate the topological potential field of each pre-selected pulverized coal injection port based on each pre-selected pulverized coal injection port of the target particle size raw material and the particle size boundary of the target particle size raw material. The grey relational degree calculation unit is used to calculate the grey relational degree between the topological potential field of each pre-selected pulverized coal injection port and the raw material characteristics of the target particle size raw material. The pre-selected pulverized coal injection port with the highest grey relational degree is selected as the optimal pulverized coal injection port for the target particle size raw material. The pulverized coal injection region characteristics of the target particle size raw material are constituted by the raw material characteristics of the target particle size raw material and the topological potential field of its optimal pulverized coal injection port.

[0010] Preferably, the topological potential field building unit includes: An initial region determination subunit is used to determine the initial pulverized coal injection region of each preselected pulverized coal injection port for the target particle size raw material, wherein the initial pulverized coal injection region of each preselected pulverized coal injection port surrounds the particle size boundary of the target particle size raw material. The node discrete sub-unit is used to discretize the initial pulverized coal injection area of ​​each pre-selected pulverized coal injection port into multiple spatial nodes; The potential energy calculation subunit is used to obtain the shortest distance between each spatial node in each initial pulverized coal injection area and its corresponding pre-selected pulverized coal injection port, and to calculate the potential energy of each spatial node in each initial pulverized coal injection area based on the shortest distance between each spatial node in each initial pulverized coal injection area and its corresponding pre-selected pulverized coal injection port. The topological potential field construction sub-unit is used to perform gradient decomposition of the potential energy of each spatial node in each initial pulverized coal injection region, thereby obtaining the topological potential energy characteristics of each spatial node in each initial pulverized coal injection region. The topological potential field of each pre-selected pulverized coal injection port is constructed from all the topological potential energy characteristics of each initial pulverized coal injection region.

[0011] Preferably, the fuel supply module includes: The input calculation unit is used to calculate the complete combustion energy consumption of each particle size raw material based on the characteristics of the pulverized coal injection zone for each particle size raw material. The refinement unit is used to discretize the topological potential field of the optimal pulverized coal injection nozzle for each particle size raw material into multiple dynamic combustion units. A kinetic building unit is used to assign a kinetic response vector to each dynamic combustion unit of each particle size feedstock, and to construct the pulverized coal injection kinetic space curve of each particle size feedstock based on the kinetic response vector of each dynamic combustion unit of each particle size feedstock. The temperature parameter calculation unit is used to calculate the optimal temperature combustion parameters and injection time of the pulverized coal injection port for each particle size raw material based on the pulverized coal injection kinetic space curve of each particle size raw material. The pulverized coal injection parameter construction unit is used to construct pulverized coal injection parameters for multiple injection points based on the optimal pulverized coal injection temperature and injection time for all particle size raw materials.

[0012] Preferably, the temperature parameter calculation unit includes: The temperature function construction sub-unit is used to construct the temperature sampling function for each particle size raw material based on the pulverized coal injection kinetics space curve; The parameter calculation subunit is used to calculate the optimal pulverized coal injection temperature and combustion parameters and injection time for each particle size feedstock based on the complete combustion energy consumption of each particle size feedstock and the temperature sampling function of each particle size feedstock.

[0013] All of the above-mentioned optional technical solutions can be combined arbitrarily, and the present invention will not provide a detailed description of the structure after each combination.

[0014] By means of the above solution, the beneficial effects of the present invention are as follows: By classifying raw lime powder by particle size, various particle size raw materials are obtained, and the batching height of each particle size raw material is obtained. Based on the batching height of each particle size raw material, the pulverized coal injection parameters of the multi-point injection nozzle are calculated. Finally, the calcination is carried out by executing the pulverized coal injection parameters of the multi-point injection nozzle through a suspension preheating decomposition kiln to complete the production of lime powder. This invention achieves control of different calcination parameters for raw materials of different particle sizes. Compared with traditional methods, this invention achieves sufficient calcination of raw material particles of different particle sizes, improving the purity and qualification rate of the finished lime powder.

[0015] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, the preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the powder production system based on particle size classification in a suspension preheating decomposition kiln provided by the present invention. Detailed Implementation

[0017] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0018] like Figure 1 As shown, the powder production system based on particle size classification in a suspension preheating decomposition kiln provided in this embodiment of the invention includes: The classification module is used to classify the particle size of the raw powder at the outlet of the suspension preheating decomposition kiln to obtain raw materials with multiple particle sizes. The feeding port configuration module is used to calculate the feeding height of each particle size raw material according to the raw material characteristics of the starch, and to configure each particle size raw material to the feeding port of the corresponding feeding height according to the feeding height of each particle size raw material. The feature determination module is used to generate the pulverized coal injection zone features for each particle size raw material based on the feeding port height corresponding to each particle size raw material. The fuel supply module is used to configure the pulverized coal injection parameters of multiple injection points based on the characteristics of the pulverized coal injection area for each particle size raw material, with the goal of maximizing calcination efficiency. The control module is used to control the pulverized coal injection parameters of the multi-point pulverized coal injection nozzles during the calcination of the suspension preheating decomposition kiln until the production of lime powder is completed.

[0019] Specifically, in the classification module, the suspension preheating decomposition kiln is a commonly used calcination equipment in lime powder production. The suspension preheating decomposition kiln suspends the raw materials in a high-temperature gas stream, and after thorough calcination with pulverized coal, lime powder is produced and falls out from the discharge port at the bottom of the kiln. Raw material grinding takes place in the ball mill within the suspension preheating decomposition kiln. After processing in the ball mill, raw powder is produced through the raw material grinding outlet.

[0020] In the feed port configuration module, the batching height refers to the stratification height of raw materials of different particle sizes at the batching port in the suspension preheating decomposition kiln.

[0021] In the feature determination module, the pulverized coal injection region features of a certain particle size raw material include the classification particle size, flowability, and virtual pulverized coal injection simulation model of the optimal pulverized coal injection nozzle (topological potential field in this invention), etc.

[0022] In the fuel supply module, the pulverized coal injection parameters include temperature combustion parameters and pulverized coal injection time.

[0023] This invention optimizes the pulverized coal injection parameters of multiple injection points by classifying the raw powder particle size and configuring the pulverized coal injection parameters of multiple injection points according to the characteristics of the pulverized coal injection area for each particle size raw material, thereby improving combustion efficiency and the production quality of lime powder.

[0024] In one specific embodiment, the classification module includes: The coarse classification unit is used to coarsely classify the raw powder from the raw material grinding outlet of the suspension preheating decomposition kiln through the screening port of the classifier. The raw powder that passes through the screening port is the original fine raw powder, and the raw powder that does not pass through the screening port is the original coarse raw powder. The fine classification unit is used to calculate the rotational speed of the rotor blades of the rotor equipment according to the preset particle size threshold, and configure the rotational speed of the rotor blades in the rotor equipment. The original fine raw powder passing through the rotor equipment is classified into fine particle size raw material, and the original fine raw powder not passing through the rotor equipment is classified into coarse particle size raw material. The original coarse raw powder, fine particle size raw material and coarse particle size raw material are used as multiple particle size raw materials.

[0025] Specifically, in the coarse classification unit, the classifier is a sieve-screening device. In this embodiment of the invention, the sieve diameter of the screening port of the classifier is pre-selected by human intervention.

[0026] In the fine-grained classification unit, the preset particle size threshold is a threshold for particle size classification obtained based on historical particle size classification data. The rotor blade speed of the rotor equipment is calculated based on the preset particle size threshold. When, the calculation formula is: ;in, This represents the preset particle size classification constant (usually 5). Indicates the diameter of the rotor blades. This indicates a preset particle size threshold. In this embodiment of the invention, the various particle size raw materials are categorized into three types: raw coarse powder, fine-particle-size raw materials, and coarse-particle-size raw materials. In this embodiment of the invention, the diameter range of the raw material for raw coarse powder is defined as 100μm-150μm, and the average diameter of the raw material for raw coarse powder is 125μm; the diameter range of the raw material for coarse-particle-size raw materials is defined as 50μm-100μm, and the average diameter of the raw material for coarse-particle-size raw materials is 75μm; the diameter range of the raw material for fine-particle-size raw materials is defined as 0μm-50μm, and the average diameter of the raw material for fine-particle-size raw materials is 25μm.

[0027] In one specific embodiment, the feed port configuration module includes: The particle size feature construction unit is used to construct the particle size feature vector of each particle size raw material based on the raw material characteristics of the starch and the average raw material diameter of each particle size raw material. Particle swarm construction unit, used to generate virtual particle swarms for each particle size raw material based on the particle size feature vector of each particle size raw material; The feeding height determination unit is used to construct the three-dimensional coordinate system of the suspension preheating decomposition kiln and determine the local optimal solution of the virtual particle group of each particle size raw material in the three-dimensional coordinate system of the suspension preheating decomposition kiln. Based on the local optimal solution of the virtual particle group of each particle size raw material, the feeding height of each particle size raw material is generated. The feeding port configuration unit is used to configure each particle size raw material to the corresponding feeding port at the feeding height according to the feeding height of each particle size raw material.

[0028] Specifically, in the particle size characteristic construction unit, the raw material characteristics of the starch include its composition and density. The particle size characteristic vector of a certain particle size raw material can be represented as: [calcium oxide, magnesium oxide, 1.5...]. [125μm], where calcium oxide and magnesium oxide represent the constituent components, 1.5 The value indicates the density of the raw material, and 125μm indicates the average diameter of the raw material with this particle size.

[0029] In the particle cluster building unit, a virtual particle cluster refers to a group of virtual particles generated in a simulation environment based on the particle size feature vector of the raw material.

[0030] In the feeding height determination unit, the origin of the three-dimensional coordinate system of the suspension preheating decomposition kiln is the center of the kiln. The x-axis passes through the origin and is parallel to the horizontal plane of the kiln, the y-axis passes through the origin and is perpendicular to the horizontal plane, and the z-axis forms a right-handed coordinate system with the x and y axes. The local optimum of a virtual particle group of a certain particle size refers to the optimal injection position of that particle size material in the suspension preheating decomposition kiln.

[0031] In the feeding port configuration unit, the installation position of the feeding port in the suspension preheating decomposition kiln is determined according to the feeding height of a certain particle size raw material.

[0032] This invention provides an accurate basis for the batching height of different particle sizes of raw materials in a suspension preheating decomposition kiln by calculating the batching height of each particle size based on the raw material characteristics of raw powder and the average raw material diameter of each particle size. This ensures that the production efficiency and product quality of lime powder can be improved in the future.

[0033] In one specific embodiment, the particle swarm building unit includes: The mass distribution function construction sub-unit is used to construct the mass distribution function for each particle size raw material based on the particle size feature vector of each particle size raw material; The singularity index calculation subunit is used to calculate the singularity index distribution of each particle size material based on the mass distribution function of each particle size material, and to construct the fractal feature vector of each particle size material based on the maximum value, minimum value and singularity width of the singularity index. The virtual particle group generation subunit is used to calculate the number of particles of each particle size material based on the preset mass of each particle size material, and to arrange all the particles of each particle size material according to the fractal feature vector of each particle size material and the number of particles of each particle size material to obtain the virtual particle group of each particle size material.

[0034] Specifically, in the sub-unit of constructing the mass distribution function, the mass distribution function of a raw material with a certain particle size. It can be represented as: Where d represents the average diameter of the raw material of this particle size, and C represents the particle size feature vector. This indicates the preset standard particle size threshold (obtained through historical experience). The coefficient function (referring to a linear function in this embodiment) is obtained by adding the coefficients of each element in the particle size feature vector, which are pre-defined in the vector. .

[0035] In the singularity index calculation subunit, for any particle size raw material, when calculating the singularity index distribution of that particle size raw material based on its mass distribution function, the singularity index distribution function of that particle size raw material is obtained by constructing that singularity index distribution function. It can be represented as: Where q represents the unit particle size of the raw material, and the range of q is the range of the raw material diameter for that particle size. The quality index function is specifically... Where p represents the preset quality coefficient (usually 2). This represents the mass distribution coefficient when the mean diameter of the raw material is q. The singularity width refers to the absolute difference between the maximum value and the mean value of the singularity index in the singularity index distribution function. The fractal characteristic vector of this particle size raw material can be represented as [maximum value of singularity index, minimum value of singularity index, singularity width].

[0036] In the virtual particle swarm generation subunit, the number of particles of a certain particle size raw material is calculated. When, the calculation formula is: ;in, This indicates the preset mass based on the particle size of the raw material. This indicates the average diameter of the raw material with this particle size. This represents the preset density of the raw material with a certain particle size (obtained through historical experience). When arranging all particles of a certain particle size raw material according to its fractal feature vector and the number of particles, a virtual space is first constructed. Then, all particles are evenly distributed in the virtual space according to their number. The particle at the center is selected as the aggregation point, and the distance between the particles in the surrounding preset neighborhood and the aggregation point is reduced, so that the density of the aggregation point and the particles in its surrounding preset neighborhood satisfies the maximum value of the singularity index. A particle outside the aggregation point and its surrounding preset neighborhood is randomly selected as the sparse point, and the distance between the particles in the surrounding preset neighborhood and the sparse point is increased, so that the density of the aggregation point and the particles in its surrounding preset neighborhood satisfies the minimum value of the singularity index. In this embodiment of the invention, the number of particles in the surrounding preset neighborhood is obtained by multiplying the singularity width by a preset dispersion coefficient (the preset dispersion coefficient is generally 500).

[0037] This invention constructs a virtual particle group with fractal characteristics through mass distribution function and singularity index analysis, thereby achieving accurate simulation and optimization of particle size raw materials, and providing effective support for subsequent calculation of the batching height of each particle size raw material.

[0038] In one specific embodiment, the feeding height determination unit includes: The coordinate system construction sub-unit is used to determine the outer frame boundary of the suspension preheating decomposition kiln according to the factory setting parameters of the suspension preheating decomposition kiln. Based on the outer frame boundary of the suspension preheating decomposition kiln, a three-dimensional coordinate system is constructed with the center of the suspension preheating decomposition kiln as the origin and the three coordinate axes forming a right-handed coordinate system. The motion description subunit is used to take the center particle of the virtual particle group of each particle size raw material as the representative point of the virtual particle group of each particle size raw material, and construct the falling trajectory equation of each representative point according to the three-dimensional coordinate system of the suspension preheating decomposition kiln. The fitness calculation subunit is used to calculate the fitness of multiple reference heights based on the preset weight coefficients of each particle size raw material and the falling trajectory equation of each representative point, and select the reference height with the highest fitness as the local optimal solution of the virtual particle group of each particle size raw material corresponding to each representative point. The batching height generation subunit is used to generate the batching height of each particle size raw material based on the local optimum solution of the virtual particle group for each particle size raw material.

[0039] Specifically, in the coordinate system construction sub-unit, the factory-set parameters are the specifications from the design and construction process of the suspension preheating decomposition kiln, including the kiln height, kiln width, and kiln length. The outer frame boundary of the suspension preheating decomposition kiln is determined based on the kiln height, kiln width, and kiln length.

[0040] In the motion description sub-unit, the equation of the falling trajectory of a representative point can be expressed as: ;in, This represents the distance between the represented point and the x-axis of the three-dimensional coordinate system. This represents the distance between the represented point and the y-axis of the three-dimensional coordinate system. This represents the distance between the representative point and the z-axis of the three-dimensional coordinate system, where t represents the time parameter. Let (X, Y, Z) represent the acceleration due to gravity, (X, Y, Z) represent the position of the representative point at time t, a is the initial velocity component in the x-direction determined based on historical data, and b is... .

[0041] In the fitness calculation subunit, the reference height is the installation height of the feed nozzle that was pre-designed during the design of the suspension preheating decomposition kiln. For any particle size feedstock, the fitness corresponding to a certain reference height is calculated based on the trajectory equation of its representative point. When, the calculation formula is: ;in, This represents the distance coefficient in the preset weighting coefficients for this type of particle size raw material. This indicates the time it takes for a representative point of this particle size raw material to fall to the bottom (the calculation formula is...). , (This indicates the reference altitude) This represents the mass coefficient in the preset weighting coefficients for this type of particle size raw material. This indicates the preset mass of the raw material with this particle size. This indicates the preset standard time.

[0042] In the batching height generation subunit, the optimal falling starting position of each particle size raw material is determined based on the local optimal solution of the virtual particle group of each particle size raw material, and the batching height of each particle size raw material is generated based on the optimal falling starting position of each particle size raw material.

[0043] The embodiments of the present invention determine the batching height of raw materials with different particle sizes by constructing a three-dimensional coordinate system, simulating the falling trajectory of particles and conducting fitness assessment, thereby laying the foundation for batching.

[0044] In one specific embodiment, the feature determination module includes: The boundary determination unit is used to determine the particle size boundary of the target particle size raw material based on the virtual particle group of the target particle size raw material, and to obtain the raw material characteristics of the target particle size raw material, wherein the target particle size raw material is any particle size raw material. A pulverized coal injection port pre-selection unit is used to select multiple pulverized coal injection ports whose distance from the particle size boundary of the target particle size raw material is less than the pulverized coal injection distance threshold as multiple pre-selected pulverized coal injection ports for the target particle size raw material. The topological potential field construction unit is used to generate the topological potential field of each pre-selected pulverized coal injection port based on each pre-selected pulverized coal injection port of the target particle size raw material and the particle size boundary of the target particle size raw material. The grey relational degree calculation unit is used to calculate the grey relational degree between the topological potential field of each pre-selected pulverized coal injection port and the raw material characteristics of the target particle size raw material. The pre-selected pulverized coal injection port with the highest grey relational degree is selected as the optimal pulverized coal injection port for the target particle size raw material. The pulverized coal injection region characteristics of the target particle size raw material are constituted by the raw material characteristics of the target particle size raw material and the topological potential field of its optimal pulverized coal injection port.

[0045] Specifically, in the boundary determination unit, when determining the particle size boundary of the target particle size raw material based on the virtual particle group of the target particle size raw material, the implementation method is as follows: obtain the farthest position of virtual particle points in each direction of the virtual particle group of the target particle size raw material, and the particle size boundary of the target particle size raw material is constituted by the farthest positions in all directions. The raw material characteristics of the target particle size raw material include the raw material diameter range, the average raw material diameter, the raw material density, and the preset mass, etc.

[0046] In the pulverized coal injection nozzle pre-selection unit, the pulverized coal injection distance threshold is the optimal pulverized coal injection distance parameter set by the factory of the pulverized coal injection equipment. If the distance is greater than this, the pulverized coal injection effect will be reduced.

[0047] In the grey relational analysis unit, grey relational analysis is an index used to measure the degree of correlation between the topological potential field of each pre-selected pulverized coal injection orifice and the raw material characteristics of the target particle size raw material. When calculating the grey relational degree between the topological potential field of a pre-selected pulverized coal injection orifice and the raw material characteristics of the target particle size raw material, a topological vector is constructed from the topological potential energy characteristics of the pre-selected pulverized coal injection orifice, and a raw material vector is constructed from the raw material characteristics of the target particle size raw material. The cosine similarity between the raw material vector and the topological vector is then calculated as the grey relational degree between the topological potential field of the pre-selected pulverized coal injection orifice and the raw material characteristics of the target particle size raw material.

[0048] This invention provides a data foundation for subsequent calculation of pulverized coal injection parameters by pre-selecting pulverized coal injection ports and generating the topological potential field of each pre-selected pulverized coal injection port and generating the pulverized coal injection region characteristics of the target particle size raw material through the topological potential field of each pre-selected pulverized coal injection port.

[0049] In one specific embodiment, the topological potential field construction unit includes: An initial region determination subunit is used to determine the initial pulverized coal injection region of each preselected pulverized coal injection port for the target particle size raw material, wherein the initial pulverized coal injection region of each preselected pulverized coal injection port surrounds the particle size boundary of the target particle size raw material. The node discrete sub-unit is used to discretize the initial pulverized coal injection area of ​​each pre-selected pulverized coal injection port into multiple spatial nodes; The potential energy calculation subunit is used to obtain the shortest distance between each spatial node in each initial pulverized coal injection area and its corresponding pre-selected pulverized coal injection port, and to calculate the potential energy of each spatial node in each initial pulverized coal injection area based on the shortest distance between each spatial node in each initial pulverized coal injection area and its corresponding pre-selected pulverized coal injection port. The topological potential field construction sub-unit is used to perform gradient decomposition of the potential energy of each spatial node in each initial pulverized coal injection region, thereby obtaining the topological potential energy characteristics of each spatial node in each initial pulverized coal injection region. The topological potential field of each pre-selected pulverized coal injection port is constructed from all the topological potential energy characteristics of each initial pulverized coal injection region.

[0050] Specifically, in the discrete sub-unit of the node, the method of discretizing the initial pulverized coal injection area of ​​each pre-selected pulverized coal injection port is implemented by uniformly dividing a three-dimensional mesh in this embodiment of the invention.

[0051] In the potential energy calculation subunit, when calculating the potential energy E of a spatial node in a certain initial pulverized coal injection region, the calculation formula is as follows: Where dr represents the shortest distance between the spatial node and its corresponding pre-selected pulverized coal injection port. The radius of influence of the pre-selected pulverized coal injection port is represented by k, which represents the pulverized coal injection port intensity coefficient (in this embodiment of the invention, it is the factory setting value of the pulverized coal injection port equipment).

[0052] In the topological potential field construction sub-unit, when performing gradient decomposition on the potential energy of a spatial node in an initial pulverized coal injection region, the finite difference method is used. Specifically, for the potential energy E of this spatial node, the gradient in the x-direction obtained after differencing is: ;in, This represents the distance in the x-direction from the spatial node to the corresponding pre-selected pulverized coal injection port, and the gradient in the y-direction is... ;in, This represents the distance in the y-direction from the spatial node to the corresponding pre-selected pulverized coal injection port, and the gradient in the z-direction is... ;in, This represents the distance in the z-direction from the spatial node to the corresponding pre-selected pulverized coal injection port. The topological potential energy characteristic of this spatial node can be expressed as: .

[0053] This invention enables the topological potential energy analysis of pre-selected pulverized coal injection ports corresponding to target particle size raw materials by constructing a topological potential field. By accurately constructing the topological potential field of each pre-selected pulverized coal injection port, an accurate data basis can be provided for the subsequent selection of the optimal pulverized coal injection port for the target particle size raw materials.

[0054] In one specific embodiment, the fuel supply module includes: The input calculation unit is used to calculate the complete combustion energy consumption of each particle size raw material based on the characteristics of the pulverized coal injection zone for each particle size raw material. The refinement unit is used to discretize the topological potential field of the optimal pulverized coal injection nozzle for each particle size raw material into multiple dynamic combustion units. A kinetic building unit is used to assign a kinetic response vector to each dynamic combustion unit of each particle size feedstock, and to construct the pulverized coal injection kinetic space curve of each particle size feedstock based on the kinetic response vector of each dynamic combustion unit of each particle size feedstock. The temperature parameter calculation unit is used to calculate the optimal temperature combustion parameters and injection time of the pulverized coal injection port for each particle size raw material based on the pulverized coal injection kinetic space curve of each particle size raw material. The pulverized coal injection parameter construction unit is used to construct pulverized coal injection parameters for multiple injection points based on the optimal pulverized coal injection temperature and injection time for all particle size raw materials.

[0055] Specifically, in the input calculation unit, the complete combustion energy consumption of a raw material with a certain particle size is calculated based on the characteristics of the pulverized coal injection zone. When, the calculation formula is: ;in, This indicates the preset mass of the raw material with this particle size. This indicates the preset specific heat capacity of the raw material with this particle size. This represents the absolute temperature difference between the target combustion temperature (the preset standard combustion temperature) and the current temperature. The preset heat of decomposition of the raw material with this particle size is indicated. The preset specific heat capacity and preset heat of decomposition are obtained through historical experience in the embodiments of the present invention.

[0056] When the refinement unit discretizes the topological potential field of the optimal pulverized coal injection port for each particle size raw material into multiple dynamic combustion units, the method is the same as the method described above for discretizing the initial pulverized coal injection region of each pre-selected pulverized coal injection port, and will not be repeated here.

[0057] In the kinetic building block, the kinetic response vector is a vector composed of standard parameters under standard conditions, raw material characteristics of each particle size, and the position of the dynamic combustion unit. For example, the kinetic response vector of a certain dynamic combustion unit of a certain particle size raw material can be expressed as [standard temperature, standard oxygen concentration, raw material diameter range, average raw material diameter, raw material density, preset mass, position of dynamic combustion unit (1,2)]. When constructing the pulverized coal injection kinetic space curve of a certain particle size raw material based on the kinetic response vector of each dynamic combustion unit, the falling trajectory equation of the representative point of the virtual particle group of the raw material is first obtained. Then, the falling trajectory equation is arranged in multiple dynamic combustion units to form the initial kinetic space curve corresponding to multiple dynamic combustion units. Next, the kinetic response vector of each dynamic combustion unit corresponding to the initial kinetic space curve is input into the pre-trained combustion dynamic influence model (Gaussian model is used in this embodiment of the invention). The combustion dynamic influence model outputs the influence position value of each dynamic combustion unit on the falling trajectory of the particle size raw material. The curve position of each dynamic combustion unit corresponding to the initial kinetic space curve is adjusted according to the influence position value of each dynamic combustion unit on the falling trajectory of the particle size raw material. After the adjustment is completed, the pulverized coal injection kinetic space curve of the raw material is obtained. Specifically, when adjusting the curve position of a certain dynamic combustion unit corresponding to the initial kinetic space curve, the implementation method is as follows: if the initial kinetic space curve corresponding to the dynamic combustion unit is f2(X2,Y2,Z2), and the influence position of the dynamic combustion unit on the falling trajectory of the particle size raw material is [3,2,5], then the adjusted curve position of the initial kinetic space curve corresponding to the dynamic combustion unit is f2(X2+3,Y2+2,Z2+5).

[0058] In the pulverized coal injection parameter construction unit, the pulverized coal injection parameters for multiple pulverized coal injection ports are formed by combining the temperature and combustion parameters and injection time of all optimal pulverized coal injection ports.

[0059] The embodiments of the present invention refine the pulverized coal injection zone of raw materials with finer particle sizes, construct dynamic combustion units and kinetic responses, optimize the pulverized coal injection parameters at the injection port, and improve the combustion efficiency and resource utilization of raw materials with different particle sizes.

[0060] In one specific embodiment, the temperature parameter calculation unit includes: The temperature function construction sub-unit is used to construct the temperature sampling function for each particle size raw material based on the pulverized coal injection kinetics space curve; The parameter calculation subunit is used to calculate the optimal pulverized coal injection temperature and combustion parameters and injection time for each particle size feedstock based on the complete combustion energy consumption of each particle size feedstock and the temperature sampling function of each particle size feedstock.

[0061] Specifically, in the temperature function construction sub-unit, the temperature sampling function of a raw material with a certain particle size. It can be represented as: ;in, This indicates the combustion time of the raw material with this particle size. Indicates the starting temperature. This indicates the combustion time of the raw material with this particle size. The change in temperature between the initial and subsequent temperatures.

[0062] In the parameter calculation subunit, when calculating the optimal pulverized coal injection temperature and combustion parameters and pulverized coal injection time for a certain particle size raw material, the integral of the temperature sampling function of the raw material at different combustion times is multiplied by different pulverized coal injection amounts to obtain the thermal energy of different pulverized coal injection amounts at different combustion times. Multiple combustion times and multiple pulverized coal injection amounts constitute multiple sets of solutions. A set of solutions can be represented as [combustion time 1, pulverized coal injection amount 1]. The partial set of solutions with thermal energy greater than or equal to the energy consumption of complete combustion are selected as candidate solutions. The cost of each candidate solution is calculated by a preset cost weighting coefficient. The candidate solution with the lowest cost is selected as the final solution. The final combustion time and final pulverized coal injection amount in the final solution are used as the optimal pulverized coal injection temperature and combustion parameters and pulverized coal injection time for the raw material of that particle size.

[0063] This invention, through the construction of a temperature sampling function and heat calculation, achieves precise analysis of the combustion characteristics of raw materials of each particle size, optimizes the combustion parameters of the pulverized coal injection nozzle and the pulverized coal injection time, and improves the combustion efficiency of raw materials of each particle size.

[0064] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A powder production system based on particle size classification in a suspension preheating decomposition kiln, characterized in that, include: The classification module is used to classify the particle size of the raw powder at the outlet of the suspension preheating decomposition kiln to obtain raw materials with multiple particle sizes. The feeding port configuration module is used to calculate the feeding height of each particle size raw material according to the raw material characteristics of the starch, and to configure each particle size raw material to the feeding port of the corresponding feeding height according to the feeding height of each particle size raw material. The feature determination module is used to generate the pulverized coal injection zone features for each particle size raw material based on the feeding port height corresponding to each particle size raw material. The fuel supply module is used to configure the pulverized coal injection parameters of multiple injection points based on the characteristics of the pulverized coal injection area for each particle size raw material, with the goal of maximizing calcination efficiency. The control module is used to control the pulverized coal injection parameters of the multi-point pulverized coal injection nozzles during the calcination of the suspension preheating decomposition kiln until the production of lime powder is completed.

2. The powder production system based on particle size classification in a suspension preheating decomposition kiln according to claim 1, characterized in that, The classification module includes: The coarse classification unit is used to coarsely classify the raw powder from the raw material grinding outlet of the suspension preheating decomposition kiln through the screening port of the classifier. The raw powder that passes through the screening port is the original fine raw powder, and the raw powder that does not pass through the screening port is the original coarse raw powder. The fine classification unit is used to calculate the rotational speed of the rotor blades of the rotor equipment according to the preset particle size threshold, and configure the rotational speed of the rotor blades in the rotor equipment. The original fine raw powder passing through the rotor equipment is classified into fine particle size raw material, and the original fine raw powder not passing through the rotor equipment is classified into coarse particle size raw material. The original coarse raw powder, fine particle size raw material and coarse particle size raw material are used as multiple particle size raw materials.

3. The powder production system based on particle size classification in a suspension preheating decomposition kiln according to claim 1, characterized in that, The feeding port configuration module includes: The particle size feature construction unit is used to construct the particle size feature vector of each particle size raw material based on the raw material characteristics of the starch and the average raw material diameter of each particle size raw material. Particle swarm construction unit, used to generate virtual particle swarms for each particle size raw material based on the particle size feature vector of each particle size raw material; The feeding height determination unit is used to construct the three-dimensional coordinate system of the suspension preheating decomposition kiln and determine the local optimal solution of the virtual particle group of each particle size raw material in the three-dimensional coordinate system of the suspension preheating decomposition kiln. Based on the local optimal solution of the virtual particle group of each particle size raw material, the feeding height of each particle size raw material is generated. The feeding port configuration unit is used to configure each particle size raw material to the corresponding feeding port at the feeding height according to the feeding height of each particle size raw material.

4. The powder production system based on particle size classification in a suspension preheating decomposition kiln according to claim 3, characterized in that, The particle swarm building unit includes: The mass distribution function construction sub-unit is used to construct the mass distribution function for each particle size raw material based on the particle size feature vector of each particle size raw material; The singularity index calculation subunit is used to calculate the singularity index distribution of each particle size material based on the mass distribution function of each particle size material, and to construct the fractal feature vector of each particle size material based on the maximum value, minimum value and singularity width of the singularity index. The virtual particle group generation subunit is used to calculate the number of particles of each particle size material based on the preset mass of each particle size material, and to arrange all the particles of each particle size material according to the fractal feature vector of each particle size material and the number of particles of each particle size material to obtain the virtual particle group of each particle size material.

5. The powder production system based on particle size classification in a suspension preheating decomposition kiln according to claim 3, characterized in that, The feeding height determination unit includes: The coordinate system construction sub-unit is used to determine the outer frame boundary of the suspension preheating decomposition kiln according to the factory setting parameters of the suspension preheating decomposition kiln. Based on the outer frame boundary of the suspension preheating decomposition kiln, a three-dimensional coordinate system is constructed with the center of the suspension preheating decomposition kiln as the origin and the three coordinate axes forming a right-handed coordinate system. The motion description subunit is used to take the center particle of the virtual particle group of each particle size raw material as the representative point of the virtual particle group of each particle size raw material, and construct the falling trajectory equation of each representative point according to the three-dimensional coordinate system of the suspension preheating decomposition kiln. The fitness calculation subunit is used to calculate the fitness of multiple reference heights based on the preset weight coefficients of each particle size raw material and the falling trajectory equation of each representative point, and select the reference height with the highest fitness as the local optimal solution of the virtual particle group of each particle size raw material corresponding to each representative point. The batching height generation subunit is used to generate the batching height of each particle size raw material based on the local optimum solution of the virtual particle group for each particle size raw material.

6. The powder production system based on particle size classification in a suspension preheating decomposition kiln according to claim 3, characterized in that, The feature determination module includes: The boundary determination unit is used to determine the particle size boundary of the target particle size raw material based on the virtual particle group of the target particle size raw material, and to obtain the raw material characteristics of the target particle size raw material, wherein the target particle size raw material is any particle size raw material. A pulverized coal injection port pre-selection unit is used to select multiple pulverized coal injection ports whose distance from the particle size boundary of the target particle size raw material is less than the pulverized coal injection distance threshold as multiple pre-selected pulverized coal injection ports for the target particle size raw material. The topological potential field construction unit is used to generate the topological potential field of each pre-selected pulverized coal injection port based on each pre-selected pulverized coal injection port of the target particle size raw material and the particle size boundary of the target particle size raw material. The grey relational degree calculation unit is used to calculate the grey relational degree between the topological potential field of each pre-selected pulverized coal injection port and the raw material characteristics of the target particle size raw material. The pre-selected pulverized coal injection port with the highest grey relational degree is selected as the optimal pulverized coal injection port for the target particle size raw material. The pulverized coal injection region characteristics of the target particle size raw material are constituted by the raw material characteristics of the target particle size raw material and the topological potential field of its optimal pulverized coal injection port.

7. The powder production system based on particle size classification in a suspension preheating decomposition kiln according to claim 6, characterized in that, The topological potential field construction unit includes: An initial region determination subunit is used to determine the initial pulverized coal injection region of each preselected pulverized coal injection port for the target particle size raw material, wherein the initial pulverized coal injection region of each preselected pulverized coal injection port surrounds the particle size boundary of the target particle size raw material. The node discrete sub-unit is used to discretize the initial pulverized coal injection area of ​​each pre-selected pulverized coal injection port into multiple spatial nodes; The potential energy calculation subunit is used to obtain the shortest distance between each spatial node in each initial pulverized coal injection area and its corresponding pre-selected pulverized coal injection port, and to calculate the potential energy of each spatial node in each initial pulverized coal injection area based on the shortest distance between each spatial node in each initial pulverized coal injection area and its corresponding pre-selected pulverized coal injection port. The topological potential field construction sub-unit is used to perform gradient decomposition of the potential energy of each spatial node in each initial pulverized coal injection region, thereby obtaining the topological potential energy characteristics of each spatial node in each initial pulverized coal injection region. The topological potential field of each pre-selected pulverized coal injection port is constructed from all the topological potential energy characteristics of each initial pulverized coal injection region.

8. The powder production system based on particle size classification in a suspension preheating decomposition kiln according to claim 7, characterized in that, The fuel supply module includes: The input calculation unit is used to calculate the complete combustion energy consumption of each particle size raw material based on the characteristics of the pulverized coal injection zone for each particle size raw material. The refinement unit is used to discretize the topological potential field of the optimal pulverized coal injection nozzle for each particle size raw material into multiple dynamic combustion units. A kinetic building unit is used to assign a kinetic response vector to each dynamic combustion unit of each particle size feedstock, and to construct the pulverized coal injection kinetic space curve of each particle size feedstock based on the kinetic response vector of each dynamic combustion unit of each particle size feedstock. The temperature parameter calculation unit is used to calculate the optimal temperature combustion parameters and injection time of the pulverized coal injection port for each particle size raw material based on the pulverized coal injection kinetic space curve of each particle size raw material. The pulverized coal injection parameter construction unit is used to construct pulverized coal injection parameters for multiple injection points based on the optimal pulverized coal injection temperature and injection time for all particle size raw materials.

9. The powder production system based on particle size classification in a suspension preheating decomposition kiln according to claim 8, characterized in that, The temperature parameter calculation unit includes: The temperature function construction sub-unit is used to construct the temperature sampling function for each particle size raw material based on the pulverized coal injection kinetics space curve; The parameter calculation subunit is used to calculate the optimal pulverized coal injection temperature and combustion parameters and injection time for each particle size feedstock based on the complete combustion energy consumption of each particle size feedstock and the temperature sampling function of each particle size feedstock.

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