Kiln control system based on lime sleeve kiln

Abstract

The invention belongs to the technical field of intelligent measurement and control of kilns, and particularly relates to a kiln control system based on a lime sleeve kiln, which realizes space-time alignment of an airflow velocity vector field, a temperature gradient field and a dynamic material distribution field by constructing a three-dimensional dynamic grid topology of a countercurrent calcining zone in real time. The method comprises the following steps: accurately predicting a material migration path in a preset time window and an airflow critical speed required for realizing suspension under the condition of predicting evolution particle size at each path node, and quantifying the matching degree of the current opening degree of an axial air door group in a countercurrent calcining zone to the suspension efficiency of the material based on the actual airflow speed of the material and a critical value deviation; when it is judged that the matching degree does not reach the standard, an accurate air door regulation and control instruction is generated based on abnormal node space distribution, a servo mechanism is driven to execute and trigger closed-loop feedback, suspension requirement dynamic coupling of current and future short-time-sequence materials is achieved, a traditional lag regulation and control mode is broken through, and the calcination efficiency and the energy consumption control level of the lime sleeve kiln are remarkably improved.

Description

Technical Field

[0001] The invention belongs to the technical field of kiln intelligent measurement and control, and specifically relates to a kiln control system based on a lime sleeve kiln. Background Art

[0002] As the core equipment for high-temperature decomposition of calcium carbonate, the lime sleeve kiln is widely used in building materials, metallurgy and other fields by virtue of the countercurrent calcination process. Its thermal efficiency and emission control directly affect production benefits.

[0003] There are already solutions related to lime sleeve kiln control in the prior art, such as the lime vertical furnace automation processing device with China Authorization Announcement No. CN205827160U, which optimizes the calcination process through conveyor chain and temperature monitoring, and the lime kiln remote monitoring and control system with China Authorization Announcement No. CN205692022U, which relies on industrial computers and remote systems to realize parameter collection and process control, reducing costs and improving efficiency.

[0004] However, although the existing technologies such as the above-mentioned solutions realize basic process control through automated conveyor chains and remote parameter monitoring, their control logic still focuses on the discrete adjustment of static parameters such as temperature and pressure, and does not deeply couple the dynamic interaction analysis of gas-solid two-phase flow. Specifically, the existing technologies lack a refined damper control mechanism based on the dynamic suspension state of materials as the core regulation basis, and do not fully recognize the key role of the dynamic suspension state of materials in energy consumption optimization and intelligent production during lime kiln calcination, resulting in damper control relying on empirical thresholds, delayed response and extensiveness, which not only causes suspension failure and uneven calcination, but also leads to thermal efficiency fluctuations and abnormal agglomeration risks, seriously restricting the stability of kiln operation and energy efficiency optimization space. Summary of the invention

[0005] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides a kiln control system based on a lime sleeve kiln, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] The purpose of the present invention can be achieved through the following technical solutions: a kiln control system based on a lime sleeve kiln, comprising: a data acquisition module, a material migration prediction module, a suspension efficiency matching module, a control instruction generation module and a control execution module.

[0007] The data acquisition module is connected to the material migration prediction module, the material migration prediction module is connected to the suspension efficiency matching module, the suspension efficiency matching module is connected to the control instruction generation module, the control instruction generation module is connected to the control execution module, and the control execution module is connected to the data acquisition module.

[0008] The data acquisition module synchronously collects multi-source data sets including air flow velocity vector field, temperature gradient field and dynamic material distribution field in the countercurrent calcination zone.

[0009] The material migration prediction module inputs multi-source data sets into a pre-built material migration prediction model, and based on the three-dimensional discretization modeling of the countercurrent calcination zone, outputs a migration path prediction map of each material within a preset time window. Each path node in the map is marked with the critical airflow velocity required for the material to achieve suspension under the predicted evolution particle size conditions.

[0010] The suspension efficiency matching module performs spatiotemporal registration of the migration path prediction map and the airflow velocity vector field, identifies the set of abnormal nodes in the migration path prediction map of each material where the deviation between the actual airflow velocity and the critical value exceeds the preset tolerance range, and thereby quantifies the matching degree of the current opening of the axial damper group in the countercurrent calcination zone to the material suspension efficiency.

[0011] The control instruction generation module, when the matching degree is lower than the preset standard threshold, spatially matches the spatial coordinates of the abnormal node with the airflow coverage domain of the axial damper group, and generates a control instruction set including the damper number, opening control direction and control value in combination with the preset airflow compensation strategy.

[0012] The control execution module drives the axial damper group to execute the control instruction set through the servo mechanism, and triggers the data acquisition module to start a new round of monitoring after the adjustment is completed.

[0013] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention focuses on quantifying the matching degree of the current opening of the axial damper group in the countercurrent calcination zone to the material suspension efficiency. When it is judged that the matching degree does not meet the standard, the present invention generates precise damper control instructions based on the spatial distribution of abnormal nodes, drives the servo mechanism to execute and trigger closed-loop feedback, realizes the dynamic coupling of the suspension demand of current and future short-time series materials, breaks through the traditional lag control mode, and significantly improves the calcination efficiency and energy consumption control level of the lime sleeve kiln.

[0014] (2) The present invention constructs a three-dimensional dynamic grid topology of a countercurrent calcination zone to achieve spatiotemporal alignment of the airflow velocity vector field, the temperature gradient field, and the dynamic material distribution field, accurately predict the material migration path within a preset time window, and accurately predict the critical airflow velocity required for suspension under the conditions of the evolving particle size at each path node, thereby providing a basis for accurately generating a control instruction set.

[0015] (3) The present invention intelligently determines the control direction of each axial damper in the countercurrent calcination zone by spatial matching of the abnormal node spatial coordinates with the airflow coverage area of ​​the axial damper group, and dynamically corrects the reference opening control value to avoid the local over-adjustment or under-adjustment problem caused by traditional extensive compensation, so that the control instruction set closely fits the dynamic demand of material suspension efficiency.

[0016] (4) The present invention automatically triggers instruction set correction by monitoring the convergence rate of abnormal node deviation, ensuring that the instruction set is continuously optimized as the working conditions evolve, thereby promoting highly closed-loop optimization of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0018] Figure 1 It is a schematic diagram of module connection of the present invention.

[0019] Figure 2 A logical schematic diagram of the output of the migration path prediction map executed by the pre-constructed material migration prediction model of the present invention.

[0020] Figure 3 It is a quantitative logic diagram of the matching degree of the current opening of the axial air door group in the countercurrent calcination zone of the present invention to the material suspension efficiency. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Reference Figure 1 As shown, the present invention provides a kiln control system based on a lime sleeve kiln, comprising: a data acquisition module, a material migration prediction module, a suspension efficiency matching module, a control instruction generation module and a control execution module.

[0023] The data acquisition module is connected to the material migration prediction module, the material migration prediction module is connected to the suspension efficiency matching module, the suspension efficiency matching module is connected to the control instruction generation module, the control instruction generation module is connected to the control execution module, and the control execution module is connected to the data acquisition module.

[0024] The embodiment of the present invention is centered on quantifying the matching degree of the current opening of the axial damper group in the countercurrent calcination zone to the material suspension efficiency. When it is judged that the matching degree does not meet the standard, a precise damper control instruction is generated based on the spatial distribution of abnormal nodes, and the servo mechanism is driven to execute and trigger closed-loop feedback, so as to realize the dynamic coupling of the suspension demand of current and future short-time series materials, break through the traditional lag control mode, and significantly improve the calcination efficiency and energy consumption control level of the lime sleeve kiln.

[0025] The data acquisition module synchronously acquires a multi-source data set including an air flow velocity vector field, a temperature gradient field and a dynamic material distribution field in the countercurrent calcination zone.

[0026] In a preferred embodiment of the present invention, the dynamic material distribution field uses a high-frequency laser scanning device to synchronously obtain the three-dimensional spatial coordinates and particle size distribution data of the material inside the countercurrent calcination zone and at the feed port, wherein the scanning data at the feed port includes the predicted information of the material that is about to enter the countercurrent calcination zone within a preset time window.

[0027] It should be added that the above-mentioned air flow velocity vector field and temperature gradient field are collected by a non-contact laser tester and a fiber grating sensor array in the countercurrent calcination zone respectively. The air flow velocity vector field includes the velocity vector of each point in the three-dimensional space of the countercurrent calcination zone, and the temperature gradient field includes the temperature sampling value of each point in the three-dimensional space of the countercurrent calcination zone.

[0028] The material migration prediction module inputs the multi-source data set into the pre-built material migration prediction model, and outputs the migration path prediction map of each material within a preset time window based on the three-dimensional discretization modeling of the countercurrent calcination zone. Each path node in the map is marked with the critical airflow velocity required for the material to achieve suspension under the predicted evolution particle size conditions.

[0029] Reference Figure 2 As shown, in a preferred embodiment of the present invention, the process of executing the migration path prediction map output by the pre-constructed material migration prediction model includes: A1. Based on the currently collected air flow velocity vector field and temperature gradient field data, a three-dimensional dynamic grid topological structure of the countercurrent calcination zone is constructed, and each grid unit code is accompanied by its corresponding environmental parameters, including air flow velocity, air flow direction angle and temperature sampling value.

[0030] A2. Establish the spatial coordinate index of each material through the dynamic material distribution field data and bind its initial monitoring particle size.

[0031] A3. Load the material migration prediction model and execute: i. Perform three-dimensional spatiotemporal alignment of the current grid environment parameters and the material space coordinate index to generate a fusion feature tensor.

[0032] ii. Analyze the characteristic tensor based on the migration state transfer matrix and output the displacement vector of each material at the next time step. The state transfer matrix is ​​obtained by joint training of environmental field evolution data under historical operating conditions and particle trajectory true value data.

[0033] It should be noted that the above state transfer matrix training process is subject to momentum conservation constraints and thermodynamic constraints, which force verification of the conservation relationship between the momentum change rate of the particle group and the airflow kinetic energy loss rate.

[0034] iii. Iteratively calculate the displacement vectors of all time steps within the preset time window to form a migration trajectory prediction chain for each material.

[0035] A4. The trajectory prediction chain is synthesized in time and space dimensions, and a migration path prediction map of each material within a preset time window is generated through density field rendering.

[0036] In a preferred embodiment of the present invention, the process of obtaining the predicted evolution particle size of the material at each path node on the map includes: recording the path node to be analyzed as the target node, tracing the migration path segment of the material from the previous path node to the target node, and extracting the time series sequence of environmental parameters of all grid cells covered by the path segment, including the air flow velocity, temperature sampling value and residence time of each grid cell.

[0037] When the grid unit temperature sampling value reaches or exceeds the preset material oxidation trigger threshold, the grid unit is regarded as a high-temperature oxidation unit, and the cumulative residence time of the material in the high-temperature oxidation unit in this path segment is counted. Combined with the material oxidation rate characteristics, the thermal oxidation attenuation of the material particle size in the path segment is calculated.

[0038] It should be noted that the above-mentioned preset material oxidation trigger threshold is determined by its material properties, and the specific value can be referred to the chemical property guidance manual corresponding to the material.

[0039] The specific calculation formula for the thermal oxidation attenuation of the above-mentioned material particle size in the path section is: based on the Arrhenius equation, an oxidation rate characteristic function of the material under the influence of temperature is established, and the average temperature value of the high-temperature oxidation unit of the path section is substituted into the function to obtain the oxidation rate of the material, and the product of the oxidation rate of the material and the cumulative residence time of the material in the high-temperature oxidation unit of the path section is taken as the increment of the oxidation layer on one side of the material. Since the oxidation reaction occurs simultaneously on both sides of the material surface, twice the increment of the oxidation layer on one side of the material is taken as the thermal oxidation attenuation. Special note: The Arrhenius equation is a classic equation in chemical kinetics that describes the effect of temperature on reaction rate. It is a well-known technology, so it will not be elaborated here.

[0040] According to the relative deviation between the material migration velocity and the airflow velocity in each grid unit of the path segment and the airflow density characteristics, the cumulative collision energy of the material under the influence of the airflow in the path segment is calculated, and the cumulative collision energy is converted into an equivalent particle size mechanical wear amount through the pre-stored material hardness-wear response relationship.

[0041] It should be noted that the specific calculation process of the cumulative collision energy of the above-mentioned material under the influence of airflow in this path section is: regard the material as a regular geometric shape, such as a sphere, calculate the material volume according to the particle size obtained in real time, and multiply the volume by the preset material density to obtain the mass, and then convert it into material weight in combination with the gravitational acceleration.

[0042] According to the relative deviation value between the material migration speed and the air flow speed, the single-particle kinetic energy is calculated in combination with the material weight. Through the dwell time - collision times mapping relationship table calibrated by experiments, the corresponding collision times are obtained by looking up the table according to the dwell time of the grid cell. The single-particle kinetic energy is multiplied by the collision times to obtain the collision energy within a single grid cell.

[0043] Traverse all grid cells within the path segment, accumulate the collision energy of each grid cell, and obtain the cumulative collision energy of the material under the influence of the air flow in this path segment.

[0044] The above-mentioned pre-stored material hardness - wear response relationship specifically refers to the corresponding relationship table or function between material hardness and wear coefficient established in advance through experiments. The specific process of converting the cumulative collision energy into the mechanical wear amount of the equivalent particle size is as follows: Based on the material properties of the material, retrieve the standard hardness specified in the chemical property guidance manual corresponding to the material, and synchronously retrieve the wear coefficient corresponding to this standard hardness. Take the product of this wear coefficient and the cumulative collision energy as the mechanical wear amount of the particle size.

[0045] Successively subtract the thermal oxidation attenuation amount and the mechanical wear amount from the initial monitored particle size of the previous path node to obtain the predicted evolution particle size of the target node, and further use it as the initial monitored particle size of the next path node. Recursively calculate the predicted evolution particle size of the material at each path node along the migration path prediction map.

[0046] In a preferred embodiment of the present invention, the process for determining the material migration speed of each grid cell in the path segment includes: obtaining the migration direction of the material from each grid cell to the next grid cell on its migration trajectory prediction chain, decomposing the effective displacement amount along the migration direction, and taking the ratio of the effective displacement amount to the dwell time of the grid cell where the material is located as the migration speed.

[0047] In a preferred embodiment of the present invention, the critical suspension air flow speed required for the material to achieve suspension at the predicted evolution particle size is obtained through dynamic resistance balance calculation. Among them, the morphological characteristics of the material are introduced to perform dynamic resistance correction on the gas - solid interaction force, and the suspension mechanical conditions adapted to the flow field environment are established.

[0048] It should be noted that the Stokes correction formula can be used as a mathematical means for realizing the above dynamic resistance balance calculation. The Stokes correction formula is an adaptive adjustment of the classical Stokes law for the material flow scenario in the countercurrent calcination zone. The specific expression of this formula is: , where is the preset material density determined based on the material properties, is the gas density calculated by the ideal gas state equation according to the measured temperature and pressure in the countercurrent calcination zone, is the preset gravitational acceleration, is the predicted evolution particle size of the material, To preset the gas dynamic viscosity, it can be calculated by correlating the temperature in the countercurrent calcination zone with the Sutherland formula. It is a preset shape correction factor, which is calibrated by quantifying the deviation of the material geometry from the standard sphere using a high-frequency laser scanning device. It is used to characterize the difference in resistance characteristics of non-spherical particles. Its value range can be .

[0049] The embodiment of the present invention constructs a three-dimensional dynamic grid topology of a countercurrent calcination zone to achieve spatiotemporal alignment of the airflow velocity vector field, the temperature gradient field and the dynamic material distribution field, accurately predicts the material migration path within a preset time window and each path node predicts the critical airflow velocity required for suspension under the conditions of the evolving particle size, and provides a basis for accurately generating a control instruction set.

[0050] The suspension efficiency matching module performs spatiotemporal registration of the migration path prediction map and the airflow velocity vector field, identifies a set of abnormal nodes in the migration path prediction map of each material where the deviation between the actual airflow velocity and the critical value exceeds a preset tolerance range, and thereby quantifies the matching degree of the current opening of the axial damper group in the countercurrent calcination zone to the material suspension efficiency.

[0051] Reference Figure 3 As shown, in a preferred embodiment of the present invention, the quantification process of the matching degree of the current opening of the axial damper group in the countercurrent calcination zone to the material suspension efficiency includes: B1. Statistically calculating the proportion of normal nodes in the migration path prediction map of each existing material in the countercurrent calcination zone, and obtaining the matching degree of the current opening of the axial damper group to the suspension efficiency of the existing materials inside by mean calculation, wherein the normal node proportion is the absolute difference between the abnormal node proportion and 1.

[0052] B2. Based on the scanning data at the feeding port, the materials that are about to enter the countercurrent calcination zone within the preset time window are marked as pre-entry materials, and the proportion of normal nodes in the migration path prediction map of each pre-entry material in the countercurrent calcination zone is counted. Similarly, the matching degree of the current opening of the axial damper group to the suspension efficiency of the pre-entry material is obtained.

[0053] B3. Screen the minimum matching degree between the existing material suspension efficiency and the pre-entered material suspension efficiency as the matching degree of the current opening of the axial air door group in the countercurrent calcination zone to the material suspension efficiency.

[0054] The control instruction generation module, when the matching degree is lower than the preset standard threshold, spatially matches the spatial coordinates of the abnormal node with the airflow coverage domain of the axial damper group, and generates a control instruction set including the damper number, opening control direction and control value in combination with the preset airflow compensation strategy.

[0055] In a preferred embodiment of the present invention, the preset airflow compensation strategy includes the following contents: integrating the abnormal node sets in the prediction maps of each material migration path, and aggregating the abnormal nodes in the same axial damper airflow coverage area into abnormal node clusters.

[0056] By comparing the difference in the number of abnormal nodes exceeding the upper limit and the lower limit in the abnormal node cluster corresponding to each axial damper, the opening control direction of each axial damper is determined and the airflow compensation speed in the corresponding direction is determined.

[0057] It should be supplemented that, if the axial damper opening control direction is upward, the absolute difference between the actual airflow velocity of the materials at each abnormal node exceeding the lower limit in the abnormal node cluster corresponding to the axial damper and the critical value is obtained, and the airflow compensation speed in the upward direction is obtained by mean calculation. If the axial damper opening control direction is downward, the absolute difference between the actual airflow velocity of the materials at each abnormal node exceeding the upper limit in the abnormal node cluster corresponding to the axial damper and the critical value is obtained, and the airflow compensation speed in the downward direction is obtained in the same way.

[0058] The product of the airflow compensation speed of each axial damper and the preset damper opening-flow rate gain coefficient is taken as the reference opening control value of each axial damper. When the matching degree of the current opening of the axial damper group to the suspension efficiency of the existing internal materials and the pre-entered materials is lower than the preset standard threshold, the reference opening control value of each axial damper is adopted as its final opening control value. When any matching degree is higher than the preset standard threshold, a compensation attenuation factor is constructed to correct the reference opening control value of each axial damper to obtain the final opening control value.

[0059] It should be added that the above-mentioned preset damper opening-flow rate gain coefficient is obtained by derivation of the flow rate response curve through the damper opening step test in the early stage of system development.

[0060] The specific construction process of the above compensation attenuation factor can refer to the following formula: , is the pre-calibrated decay rate control coefficient, is the preset threshold value of matching degree. The formula mainly refers to the nonlinear attenuation function, which aims to characterize that the greater the value of the matching degree exceeds the preset standard threshold, the faster the decay speed is. It is suitable for scenarios that are sensitive to high matching degrees.

[0061] In a preferred embodiment of the present invention, the process of determining the axial damper opening control direction includes: counting the number of abnormal nodes exceeding the upper limit and the number of abnormal nodes exceeding the lower limit in the abnormal node cluster corresponding to the axial damper.

[0062] Under the condition that the difference in the number of two types of abnormal nodes exceeds the preset difference threshold, if the number of abnormal nodes exceeding the upper limit is greater than the number of abnormal nodes exceeding the lower limit, it is determined that the axial damper opening control direction is downward; if the number of abnormal nodes exceeding the upper limit is less than the number of abnormal nodes exceeding the lower limit, it is determined that the axial damper opening control direction is upward.

[0063] When the difference in the number of two types of abnormal nodes does not reach the preset difference threshold, the ratio of the absolute deviation of the actual airflow velocity of the materials at the two types of abnormal nodes and the critical value is calculated. If the ratio is greater than 1, it is determined that the direction of the axial damper opening control is downward, otherwise it is upward.

[0064] It should be noted that the ratio of the sum of the absolute deviations of the actual airflow velocities received by the above two types of abnormal node materials and the critical value is calculated by taking the sum of the absolute deviations of the actual airflow velocities received by the materials at the abnormal nodes exceeding the upper limit and the critical value as the numerator and the sum of the absolute deviations of the actual airflow velocities received by the materials at the abnormal nodes exceeding the lower limit and the critical value as the numerator.

[0065] The embodiment of the present invention intelligently determines the control direction of each axial damper in the countercurrent calcination zone through spatial matching of the abnormal node spatial coordinates with the airflow coverage area of ​​the axial damper group, and dynamically corrects the reference opening control value to avoid local over-adjustment or under-adjustment problems caused by traditional extensive compensation, so that the control instruction set closely fits the dynamic requirements of material suspension efficiency.

[0066] The control execution module drives the axial damper group to execute the control instruction set through the servo mechanism, and triggers the data acquisition module to start a new round of monitoring after the adjustment is completed.

[0067] In a preferred embodiment of the present invention, the control execution module further includes a feedback verification unit, which is used to perform the following operations after the axial damper group executes the control instruction set and before the data acquisition module starts a new round of monitoring: real-time monitoring of the deviation changes between the actual air flow velocity and the critical value in the abnormal node set of each material migration path prediction map, and based on the deviation time series data within the preset time window, calculating its convergence rate with the preset tolerance range.

[0068] If the convergence rate is lower than a preset convergence rate reasonable threshold, an iterative control request is sent, wherein the request includes spatial feature data of the current deviation distribution to guide the modification of the original control instruction set.

[0069] The embodiment of the present invention automatically triggers instruction set correction by monitoring the convergence rate of abnormal node deviation, ensuring that the instruction set is continuously optimized as the working conditions evolve, so as to promote highly closed-loop optimization of the system.

[0070] All the above formulas are dimensionless and numerically calculated, and the preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0071] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0072] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0073] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0074] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0075] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A kiln control system based on a lime sleeve kiln, characterized in that: The system includes: The data acquisition module synchronously collects multi-source data sets including air velocity vector field, temperature gradient field and dynamic material distribution field in the countercurrent calcination zone; The material migration prediction module inputs the multi-source data set into the pre-built material migration prediction model, and outputs the migration path prediction map of each material within the preset time window based on the three-dimensional discretization modeling of the countercurrent calcination zone. Each path node in the map is marked with the critical airflow velocity required for the material to achieve suspension under the predicted evolution particle size conditions; The suspension efficiency matching module performs spatiotemporal registration of the migration path prediction map and the airflow velocity vector field, identifies the abnormal node set in the migration path prediction map of each material where the deviation between the actual airflow velocity and the critical value exceeds the preset tolerance range, and thereby quantifies the matching degree of the current opening of the axial damper group in the countercurrent calcination zone to the material suspension efficiency; A control instruction generation module, when the matching degree is lower than a preset threshold, performs spatial matching between the abnormal node spatial coordinates and the airflow coverage area of ​​the axial damper group, and generates a control instruction set including the damper number, opening control direction and control value in combination with a preset airflow compensation strategy; The control execution module drives the axial damper group to execute the control instruction set through the servo mechanism, and triggers the data acquisition module to start a new round of monitoring after the adjustment is completed.

2. A kiln control system based on a lime sleeve kiln according to claim 1, characterized in that: The dynamic material distribution field uses a high-frequency laser scanning device to synchronously obtain the three-dimensional spatial coordinates and particle size distribution data of the material inside the countercurrent calcination zone and at the feed port, wherein the scanning data at the feed port contains the prediction information of the material that will enter the countercurrent calcination zone within a preset time window.

3. A kiln control system based on a lime sleeve kiln according to claim 1, characterized in that: The process of outputting the migration path prediction map by the pre-built material migration prediction model includes: A1. Based on the currently collected air flow velocity vector field and temperature gradient field data, a three-dimensional dynamic grid topology structure of the countercurrent calcination zone is constructed, and each grid unit is encoded with its corresponding environmental parameters, including air flow velocity, air flow direction angle and temperature sampling value; A2. Establish the spatial coordinate index of each material through the dynamic material distribution field data and bind its initial monitoring particle size; A3. Load the material migration prediction model and execute: i. Align the current grid environment parameters with the material space coordinate index in three-dimensional space and time to generate a fusion feature tensor; ii. Analyzing the characteristic tensor based on the migration state transfer matrix, and outputting the displacement vector of each material at the next time step, wherein the state transfer matrix is ​​obtained by joint training of the environmental field evolution data under historical operating conditions and the particle trajectory true value data; iii. Iteratively calculate the displacement vectors of all time steps within the preset time window to form a migration trajectory prediction chain for each material; A4. The trajectory prediction chain is synthesized in time and space dimensions, and a migration path prediction map of each material within a preset time window is generated through density field rendering.

4. A kiln control system based on a lime sleeve kiln according to claim 3, characterized in that: The process of obtaining the predicted evolution particle size of the material at each path node on the map includes: recording the path node to be analyzed as the target node, tracing the migration path segment of the material from the previous path node to the target node, and extracting the time series of environmental parameters of all grid cells covered by the path segment, including the airflow velocity, temperature sampling value and residence time of each grid cell; When the grid unit temperature sampling value reaches or exceeds the preset material oxidation trigger threshold, the grid unit is regarded as a high-temperature oxidation unit, and the cumulative residence time of the material in the high-temperature oxidation unit of the path segment is counted. Combined with the material oxidation rate characteristics, the thermal oxidation attenuation of the material particle size in the path segment is calculated; According to the relative deviation between the material migration velocity and the airflow velocity in each grid unit of the path segment, combined with the airflow density characteristics, the cumulative collision energy of the material under the influence of the airflow in the path segment is calculated, and the cumulative collision energy is converted into an equivalent particle size mechanical wear amount through the pre-stored material hardness-wear response relationship; The thermal oxidation attenuation and mechanical wear are deducted from the initial monitored particle size of the previous path node in turn to obtain the predicted evolution particle size of the target node, which is further used as the initial monitored particle size of the next path node. The predicted evolution particle size of the material at each path node is recursively calculated along the migration path prediction map.

5. A kiln control system based on a lime sleeve kiln according to claim 4, characterized in that: The process of determining the material migration speed of each grid unit in the path segment includes: obtaining the migration direction of the material from each grid unit to the next grid unit on its migration trajectory prediction chain, decomposing the effective displacement along the migration direction, and taking the ratio of the effective displacement to the residence time of the grid unit where the material is located as the migration speed.

6. A kiln control system based on a lime sleeve kiln according to claim 1, characterized in that: The critical suspension velocity of the airflow required for the material to achieve suspension at the predicted evolving particle size is obtained through dynamic resistance balance calculation, wherein the particle morphology characteristics are introduced to perform dynamic resistance correction on the gas-solid interaction force to establish suspension mechanical conditions adapted to the flow field environment.

7. A kiln control system based on a lime sleeve kiln according to claim 2, characterized in that: The quantification process of the matching degree of the current opening of the axial air door group in the countercurrent calcining zone to the material suspension efficiency includes: B1. Count the normal node proportions in the migration path prediction map of each existing material in the countercurrent calcining zone, and obtain the matching degree of the current opening of the axial damper group to the suspension efficiency of the existing materials inside by mean calculation. The normal node proportion is the absolute difference between the abnormal node proportion and 1; B2. Based on the scanning data at the feed port, the material that is about to enter the countercurrent calcination zone within the preset time window is marked as the pre-entry material, and the proportion of normal nodes in the migration path prediction map of each pre-entry material in the countercurrent calcination zone is counted. Similarly, the matching degree of the current opening of the axial damper group to the suspension efficiency of the pre-entry material is obtained; B3. Screen the minimum matching degree between the existing material suspension efficiency and the pre-entered material suspension efficiency as the matching degree of the current opening of the axial air door group in the countercurrent calcination zone to the material suspension efficiency.

8. The kiln control system based on lime sleeve kiln according to claim 1 is characterized in that: The preset airflow compensation strategy includes the following contents: Integrate the abnormal node sets in the prediction graphs of each material migration path, and aggregate the abnormal nodes in the same axial damper airflow coverage area into abnormal node clusters; By comparing the difference in the number of abnormal nodes exceeding the upper limit and the lower limit in the abnormal node cluster corresponding to each axial damper, the opening control direction of each axial damper is determined and the airflow compensation speed in the corresponding direction is determined; The product of the airflow compensation speed of each axial damper and the preset damper opening-flow rate gain coefficient is taken as the reference opening control value of each axial damper. When the matching degree of the current opening of the axial damper group to the suspension efficiency of the existing internal materials and the pre-entered materials is lower than the preset standard threshold, the reference opening control value of each axial damper is adopted as its final opening control value. When any matching degree is higher than the preset standard threshold, a compensation attenuation factor is constructed to correct the reference opening control value of each axial damper to obtain the final opening control value.

9. A kiln control system based on a lime sleeve kiln according to claim 8, characterized in that: The determination process of the axial damper opening control direction includes: counting the number of abnormal nodes exceeding the upper limit and the number of abnormal nodes exceeding the lower limit in the abnormal node cluster corresponding to the axial damper; Under the condition that the difference between the number of two types of abnormal nodes exceeds the preset difference threshold, if the number of abnormal nodes exceeding the upper limit is greater than the number of abnormal nodes exceeding the lower limit, it is determined that the axial damper opening control direction is downward adjustment; if the number of abnormal nodes exceeding the upper limit is less than the number of abnormal nodes exceeding the lower limit, it is determined that the axial damper opening control direction is upward adjustment; When the difference in the number of two types of abnormal nodes does not reach the preset difference threshold, the ratio of the absolute deviation of the actual airflow velocity of the materials at the two types of abnormal nodes and the critical value is calculated. If the ratio is greater than 1, it is determined that the direction of the axial damper opening control is downward, otherwise it is upward.

10. A kiln control system based on a lime sleeve kiln according to claim 1, characterized in that: The control execution module further includes a feedback verification unit, which is used to perform the following operations after the axial damper group executes the control instruction set and before the data acquisition module starts a new round of monitoring: real-time monitoring of the deviation change between the actual air flow velocity and the critical value in the abnormal node set of the prediction map of each material migration path, and based on the deviation time series data within the preset time window, calculating its convergence rate with the preset tolerance range; If the convergence rate is lower than a preset convergence rate reasonable threshold, an iterative control request is sent, wherein the request includes spatial feature data of the current deviation distribution to guide the modification of the original control instruction set.

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