Parameter optimization system and method for clay color quality control

Abstract

The application discloses a parameter optimization system and method for clay color quality control, and relates to the technical field of clay calcination. The method comprises the following steps: constructing a clay calcination simulation space based on digital twinning technology; performing several times of calcination and cooling simulation in a preset calcination and cooling time zone in the clay calcination simulation space, and generating an ideal air-fuel ratio sequence; deploying several sensors in a combustion furnace to build a calcination feedback monitoring engine; monitoring the atmosphere in the kiln based on the calcination feedback monitoring engine during the clay calcination process, and using the clay calcination simulation space to iteratively optimize the calcination and cooling control parameters of the several calcination and cooling links with the ideal air-fuel ratio sequence as the target, and performing clay calcination and cooling control of the several calcination and cooling links according to the optimal calcination and cooling control parameters. The technical problem of inconsistent product color and unstable quality caused by uncontrollable kiln atmosphere fluctuation in the existing calcination clay production process is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of clay calcination, in particular to a parameter optimization system and method for clay color quality control. BACKGROUND

[0002] With the continuous development of the construction industry, the quality requirements for clay products are increasingly improved. The stability of clay color, as one of the important indicators for measuring the quality, has attracted widespread attention. However, in the traditional clay calcination process, due to the lack of effective parameter optimization means, scientific theoretical guidance and precise control strategy, the kiln atmosphere is difficult to accurately control, resulting in large differences in product color, which seriously affects the quality and market competitiveness of the products. SUMMARY

[0003] The parameter optimization system and method for clay color quality control provided by the embodiments of the present application solve the technical problem of inconsistent product color and unstable quality caused by uncontrolled kiln atmosphere fluctuation in the existing clay calcination production process.

[0004] The technical solution of the present application to solve the above technical problem is as follows:

[0005] In a first aspect, the present application provides a parameter optimization system for clay color quality control, which comprises:

[0006] A simulation space construction module is configured to construct a clay calcination simulation space based on digital twinning technology according to the structural attribute information of the combustion furnace and the structural attribute information of the clay.

[0007] A calcination and cooling simulation module is configured to perform a plurality of times of calcination and cooling simulation in a preset calcination and cooling time zone in the clay calcination simulation space, determine a plurality of ideal air-fuel ratios of a plurality of calcination and cooling links that meet the product processing indicators, and generate an ideal air-fuel ratio sequence.

[0008] A monitoring engine building module is configured to deploy a plurality of sensors inside the combustion furnace to build a calcination feedback monitoring engine.

[0009] A calcination and cooling execution module is configured to monitor the kiln atmosphere based on the calcination feedback monitoring engine during the clay calcination process, and use the clay calcination simulation space to iteratively optimize the calcination and cooling control parameters of the plurality of calcination and cooling links with the goal of approximating the ideal air-fuel ratio sequence, and perform the clay calcination and cooling control of the plurality of calcination and cooling links according to the optimal calcination and cooling control parameters.

[0010] In a second aspect, the present application provides a parameter optimization method for clay color quality control, which comprises:

[0011] Based on the digital twin technology, a clay calcination simulation space is constructed according to the structural attribute information of the combustion furnace and the clay structural attribute information.

[0012] A plurality of times of calcination cooling simulation in a preset calcination cooling time zone is performed in the clay calcination simulation space, a plurality of ideal air-fuel ratios of a plurality of calcination cooling links meeting the product index are determined, and an ideal air-fuel ratio sequence is generated.

[0013] A plurality of sensors are deployed inside the combustion furnace to build a calcination feedback monitoring engine.

[0014] In the clay calcination process, the kiln atmosphere is monitored based on the calcination feedback monitoring engine, and the clay calcination simulation space is used to iteratively optimize the calcination cooling control parameters of the plurality of calcination cooling links with the target of approximating the ideal air-fuel ratio sequence, and the clay calcination cooling control of the plurality of calcination cooling links is performed according to the optimal calcination cooling control parameters.

[0015] The present application provides one or more technical solutions, at least having the following technical effects or advantages:

[0016] The embodiments of the present application provide a parameter optimization system and method for clay color quality control. First, a clay calcination simulation space is constructed using digital twin technology, an ideal air-fuel ratio sequence is determined through calcination cooling simulation, and the kiln atmosphere is monitored in real time through a calcination feedback monitoring engine, thereby realizing iterative optimization of the clay calcination cooling control parameters. By continuously adjusting the control parameters, the actual calcination process is as close as possible to the ideal air-fuel ratio sequence, thereby improving the stability and consistency of the color of the clay finished product.

[0017] The above technical solution solves the problem of large color difference of the finished product caused by the difficulty in accurately controlling the kiln atmosphere in traditional clay calcination, and improves the quality of clay products. At the same time, the system and method have a high degree of automation in the operation process, reducing manual intervention and reducing the impact of labor costs and human factors on product quality. Through real-time monitoring and optimization control, energy can be effectively saved, unnecessary fuel consumption can be reduced, and the concept of green production can be met. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creating laborious work.

[0019] Figure 1 is a structural schematic diagram of the parameter optimization system for clay color quality control provided by the embodiments of the present application;

[0020] Figure 2 This is a flowchart illustrating the parameter optimization method for clay color quality control provided in the embodiments of this application.

[0021] The components represented by each number in the attached diagram are explained below:

[0022] Simulation space construction module 11, calcination and cooling simulation module 12, monitoring engine construction module 13, calcination and cooling execution module 14. Detailed Implementation

[0023] This application provides a parameter optimization system and method for clay color quality control, which addresses the technical problem of inconsistent finished product color and unstable quality caused by uncontrolled fluctuations in kiln atmosphere during existing calcined clay production processes.

[0024] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0025] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0026] In the description of this application, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use this application. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that this application can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid unnecessarily obscuring the description of this application. Therefore, this application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0027] Example 1, as Figure 1 As shown in the embodiment of this application, a parameter optimization system for clay color quality control is provided, including:

[0028] The simulation space construction module 11 is configured to construct a clay calcination simulation space based on digital twinning technology according to the structural attribute information of the combustion furnace and the clay structural attribute information.

[0029] In the embodiment of the present application, based on digital twinning technology, the structural attribute information of the combustion furnace and the clay structural attribute information are integrated to construct a clay calcination simulation space that can highly simulate the real clay calcination environment. In the simulation space, the clay calcination process is analyzed and researched comprehensively.

[0030] For example, by simulating the temperature distribution in the combustion furnace, the temperature variation at different positions is understood, and the heating mode and temperature control strategy of the combustion furnace are optimized. The chemical reaction of clay during calcination can also be accurately simulated in the simulation space to predict the generation and conversion process of the product.

[0031] When constructing the clay calcination simulation space, the interaction of various factors needs to be considered. For example, the airflow distribution in the combustion furnace will affect the heat transfer and the calcination effect of the clay, and the chemical composition and thermophysical properties of the clay will affect the movement and reaction of the clay in the airflow.

[0032] Specifically, the simulation space construction module 11 in the system includes:

[0033] Based on digital twinning technology, a three-dimensional digital model of the combustion furnace is built according to the structural attribute information of the combustion furnace, and a material attribute library is defined simultaneously according to the clay structural attribute information, completing the digital mapping of the physical entity, wherein the clay structural attribute information includes the chemical composition, mineral phase and thermophysical properties of the clay.

[0034] The three-dimensional digital model of the combustion furnace is coupled with a multi-physics field simulation model to construct a clay calcination simulation space, wherein the multi-physics field simulation model at least includes a computational fluid dynamics model, a discrete element method model and a reaction kinetics model.

[0035] Through a data interface, sensor data in the combustion furnace is collected in real time to drive and calibrate the operation of the clay calcination simulation space, and bidirectional interaction between the digital virtual body and the physical entity.

[0036] In the embodiment of the present application, first, based on digital twinning technology, a three-dimensional digital model of the combustion furnace is built according to the structural attribute information of the combustion furnace, and a material attribute library is defined according to the clay structural attribute information. The structural attribute information of the combustion furnace includes geometric configuration, structural size and material characteristics, while the clay structural attribute information includes the chemical composition, mineral phase and thermophysical properties of the clay material.

[0037] Among them, the geometric configuration refers to the shape and layout of the combustion furnace, such as circular, square, horizontal or vertical, etc., different geometric configurations will affect the airflow distribution and heat transfer in the combustion furnace; the structural size determines the volume size and the proportional relationship of each part of the combustion furnace, which affects the combustion efficiency and the uniformity of clay calcination; the material properties include the thermal conductivity, high temperature resistance, etc. of the materials used in the combustion furnace, the structural attribute information of the combustion furnace will affect the heat loss and service life of the combustion furnace.

[0038] When defining the material attribute library, the chemical composition of clay determines its chemical reaction and product generation in the calcination process, different chemical compositions will lead to different colors and physical properties; mineral phase reflects the types and contents of various minerals in clay, affecting the hardness, toughness and other properties of clay; thermal physical properties such as thermal conductivity, specific heat capacity, etc. will affect the heat transfer and temperature change of clay in the calcination process.

[0039] Secondly, the three-dimensional digital model of the combustion furnace is coupled with the multi-physical field simulation model to build a clay calcination simulation space. The multi-physical field simulation model includes a computational fluid dynamics model, a discrete element method model, and a reaction kinetics model. The three-dimensional digital geometric model is coupled with the multi-physical field simulation model, based on the computational fluid dynamics gas flow and combustion model in the kiln, the material movement and heat transfer model based on the discrete element method, and the reaction kinetics model involving clay dehydration, phase change and reduction oxidation reaction.

[0040] Further, the computational fluid dynamics model is used to simulate the airflow movement and heat transfer in the combustion furnace, by solving the fluid mechanics equation, the velocity field, temperature field and pressure field in the combustion furnace are obtained, so as to optimize the ventilation design and temperature control of the combustion furnace.

[0041] The discrete element method model is used to simulate the movement and interaction of clay particles, considering the shape, size, density and other factors of the particles, to predict the accumulation and flow of clay in the calcination process.

[0042] The reaction kinetics model is used to simulate the chemical reaction of clay in the calcination process, by establishing the chemical reaction equation and kinetic parameters, the generation and conversion process of the product can be predicted, which provides the basis for optimizing the calcination process.

[0043] Then, through the data interface, real-time acquisition of sensor data in the combustion furnace is realized, realizing the bidirectional interaction between digital virtual body and physical entity. Sensor data includes temperature, pressure, oxygen concentration, etc., sensor data can be fed back to the clay calcination simulation space, to calibrate and optimize the simulation model, so that the simulation result can more accurately reflect the actual situation. At the same time, the optimization strategy in the simulation space can also be fed back to the physical entity, guiding the actual operation of the combustion furnace, realizing the precise control of the clay calcination process.

[0044] The calcination cooling simulation module 12 is configured to simulate a plurality of calcination cooling processes in a preset calcination cooling time zone in the clay calcination simulation space, determine a plurality of ideal air-fuel ratios of a plurality of calcination cooling links meeting the product index, and generate an ideal air-fuel ratio sequence.

[0045] In the embodiment of the present application, the calcination cooling process of clay in the preset calcination cooling time zone is simulated in the constructed clay calcination simulation space. By continuously adjusting various parameters in the calcination cooling link, such as cooling temperature, fuel flow, oxygen flow, carbon monoxide flow and coal powder injection flow, a plurality of simulation experiments are performed. After each simulation, the simulation result is evaluated according to the product index, such as the color, hardness and density of the clay.

[0046] For the color index, the color difference between the simulated clay color and the target color is calculated by using a color analysis algorithm. For the hardness and density indexes, the ideal air-fuel ratios of the calcination cooling links meeting the product index are selected through a plurality of simulation experiments by establishing a mechanical model and a physical model.

[0047] The ideal air-fuel ratio refers to the optimal mixing ratio of fuel and air under specific calcination cooling conditions, which enables the clay to achieve the best calcination effect and ensures the stability and consistency of the product color. The ideal air-fuel ratios are arranged in the order of the calcination cooling links to generate an ideal air-fuel ratio sequence. The ideal air-fuel ratio sequence provides an accurate reference standard for the actual clay calcination process, which helps to achieve precise control of the calcination process.

[0048] Specifically, the calcination cooling simulation module 12 in the system comprises:

[0049] Based on the historical clay calcination records, a plurality of calcination cooling links are set in the preset calcination cooling time zone, and an air-fuel ratio threshold in the clay calcination process is obtained, wherein the calcination cooling links are determined based on the temperature interval division in the furnace, including the rapid cooling reduction color stabilization zone, the controllable cooling crystal transformation zone, the atmosphere transition zone, the oxidation safety purification zone and the cooling discharge zone.

[0050] For the plurality of calcination cooling links, any air-fuel ratio within the air-fuel ratio threshold is randomly selected for combination to obtain a first air-fuel ratio sequence.

[0051] In the clay calcination simulation space, the calcination cooling simulation is performed according to the first air-fuel ratio sequence, and the first simulation product quality information is output, wherein the first simulation product quality information includes a first predicted product color value and a first predicted product activity index.

[0052] It is judged whether the first predicted product activity index meets the product index, and if not, the first air-fuel ratio sequence is discarded.

[0053] If yes, the first air-fuel ratio sequence is reserved, and a first product quality coefficient is evaluated according to the first predicted product chroma value and the first predicted product activity index, and the first air-fuel ratio sequence is marked;

[0054] The air-fuel ratio sequence is randomly selected within the air-fuel ratio threshold value for calcination and cooling simulation until a preset cooling simulation number is reached, and an air-fuel ratio sequence corresponding to the maximum product quality coefficient is output as an ideal air-fuel ratio sequence.

[0055] In the embodiments of the present application, first, based on the historical clay calcination records, a plurality of calcination and cooling links are reasonably set within a preset calcination and cooling time zone. According to the determination of the temperature interval in the furnace, the color-stabilizing zone of rapid cooling and reduction can quickly reduce the temperature and realize the reduction reaction, stabilizing the color of the clay; the controllable cooling crystal transformation zone can control the cooling speed, promoting the crystal transformation of the clay; the atmosphere transition zone plays a transition role, adjusting the atmosphere in the kiln; the oxidation safety purification zone performs oxidation reaction, ensuring the safety and purity of the clay; the cooling and discharging zone completes the final cooling, facilitating the discharge of the clay. At the same time, the air-fuel ratio threshold value in the calcination process of the clay is obtained, which is the basis for the selection of the air-fuel ratio range.

[0056] Exemplarily, the temperature interval of the color-stabilizing zone of rapid cooling and reduction is 950℃-800℃, which can inhibit re-oxidation and lock the color. The temperature interval of the color-stabilizing zone of rapid cooling and reduction is 950℃-800℃, which can inhibit re-oxidation and lock the color. Quickly pass through the temperature interval of the re-oxidation of iron elements, maintain a strong reducing atmosphere, and stabilize FeO and other gray phases.

[0057] The temperature interval of the controllable cooling crystal transformation zone is 800℃-650℃, which can promote the formation of beneficial crystal types by controlling the cooling rate. Avoid product cracking due to too fast cooling, and complete the amorphization or target crystal transformation of certain minerals in this temperature window.

[0058] The temperature interval of the atmosphere transition zone is 650℃-500℃, which realizes safe and smooth switching from a reducing atmosphere to an oxidizing atmosphere. The activity of the material is reduced, and a small amount of controllable oxygen is introduced to neutralize the excess reducing agent.

[0059] The temperature interval of the oxidation safety purification zone is 500℃-300℃, which can completely eliminate combustibles and ensure product safety. Excess air is introduced to ensure that any residual reducing gas CO and unburned carbon powder is completely oxidized.

[0060] The temperature interval of the final cooling and discharging zone is below 300℃, which can efficiently cool to a safe discharging temperature. Further improve production efficiency and ensure that the product temperature meets the packaging, storage and transportation requirements.

[0061] Secondly, for the set several calcination cooling links, any air-fuel ratio within the air-fuel ratio threshold is randomly selected for combination to obtain a first air-fuel ratio sequence. The random combination mode can reflect the influence of different air-fuel ratio combinations on the calcination effect. In the clay calcination simulation space, according to the first air-fuel ratio sequence, the calcination and cooling simulation is carried out, and the first simulation product quality information is output, including the first predicted product color value and the first predicted product activity index. The first predicted product color value and the first predicted product activity index can directly reflect the quality of the clay product after simulation calcination.

[0062] Then, it is judged whether the first predicted product activity index meets the processing product index. If not, it means that the calcination effect corresponding to the first air-fuel ratio sequence is not good, and the clay cannot meet the expected quality requirements, so the sequence is discarded. If it is satisfied, the first air-fuel ratio sequence is retained, and the first product quality coefficient is evaluated according to the first predicted product color value and the first predicted product activity index, and the first air-fuel ratio sequence is marked. The first product quality coefficient comprehensively considers the color and activity index, and more comprehensively evaluates the advantages and disadvantages of the air-fuel ratio sequence.

[0063] After that, the air-fuel ratio sequence is randomly selected within the air-fuel ratio threshold for calcination and cooling simulation, and the above evaluation and judgment process is repeated each time. With the increase of the number of simulations, the effects of different air-fuel ratio combinations can be more widely explored. Until the preset cooling simulation number is reached, at this time, from all the simulated air-fuel ratio sequences, the air-fuel ratio sequence corresponding to the maximum product quality coefficient is found, and it is set as the ideal air-fuel ratio sequence. The ideal air-fuel ratio sequence is screened out through a large number of simulation experiments, which can provide accurate reference for the actual clay calcination process, and help to improve the quality and stability of the clay product.

[0064] The preset cooling simulation number setting method comprises:

[0065] Retrieving the historical clay calcination records within the historical time range by taking the clay chemical components, mineral phases and thermophysical properties in the clay structure attribute information as material constraints, and counting the current product calcination qualified rate under the material constraints;

[0066] The ratio of the current product calcination qualified rate to the average historical product calcination qualified rate within the historical time range is set as the calcination cooling control complexity;

[0067] According to the calcination cooling control complexity, the standard cooling simulation number is optimized and adjusted to obtain the preset cooling simulation number.

[0068] In the embodiments of the present application, first, because different chemical components, mineral phases and thermophysical properties will affect the calcination process and finished product quality of clay, the chemical components, mineral phases and thermophysical properties in the structural attribute information of clay are taken as material constraint conditions to retrieve historical clay calcination records in a historical time range. By statistically analyzing the current finished product calcination qualification rate of the material under the constraint conditions, the actual situation of the current clay calcination is understood.

[0069] Secondly, the current finished product calcination qualification rate is compared with the average historical finished product calcination qualification rate in the historical time range to obtain the calcination cooling control complexity. If the current finished product calcination qualification rate is lower than the historical average, it indicates that the control of the calcination cooling process is difficult, and there may be problems that have not been solved, such as subtle changes in material properties, mismatch of process parameters, etc. Conversely, if the current qualification rate is higher than the historical average, it indicates that the calcination cooling process is relatively easy to control.

[0070] Exemplarily, if the current finished product calcination qualification rate is 80%, and the average historical finished product calcination qualification rate is 90%, then the calcination cooling control complexity is 80% ÷ 90% ≈ 0.89, indicating that there is difficulty in this calcination cooling control. The greater the complexity, the more difficult the analysis, and therefore the more simulation times are required.

[0071] Finally, the standard cooling simulation number is optimized and adjusted according to the calcination cooling control complexity. When the calcination cooling control complexity is high, the preset cooling simulation number is increased to find an ideal air-fuel ratio suitable for the current clay properties. For example, by increasing the simulation number, more possible air-fuel ratio combinations can be tested to improve the accuracy of screening the ideal air-fuel ratio sequence. When the calcination cooling control complexity is low, the preset cooling simulation number is appropriately reduced to improve simulation efficiency and reduce unnecessary waste of computing resources while ensuring screening effect.

[0072] According to the dynamic adjustment of the preset cooling simulation number based on the clay properties and historical calcination conditions, the entire parameter optimization system is more flexible and can better adapt to different clay materials and calcination process requirements, ultimately improving the quality and production efficiency of the clay calcination finished product and ensuring the stability and consistency of the finished product color.

[0073] The monitoring engine building module 13 is configured to deploy a plurality of sensors inside the combustion furnace to build a calcination feedback monitoring engine.

[0074] In the embodiments of the present application, in order to monitor the clay calcination process in the combustion furnace, a plurality of sensors are deployed inside the combustion furnace to build a calcination feedback monitoring engine. The types and position distribution of the sensors ensure that accurate data of each key part and link in the combustion furnace can be obtained.

[0075] The sensor distribution is built according to the structure of the combustion furnace and the characteristics of the calcination process. Through the real-time data collected by the sensors, the calcination feedback monitoring engine can analyze and evaluate the situation in the combustion furnace in real time. Once data anomalies are found, such as excessively high or low temperature, excessively large pressure fluctuations, or gas composition not meeting requirements, the system will immediately issue an alarm and make adjustments according to the preset strategy. For example, if the temperature is too high, the system will automatically reduce fuel supply or increase cooling air volume; if the oxygen concentration is too low, the system will increase the input of air.

[0076] The sensors are arranged according to the geometric configuration and structural size in the structural attribute information of the combustion furnace, and a temperature sensing layer and an atmosphere sensing layer are built, wherein the monitoring indicators of the atmosphere sensing layer include oxygen concentration, carbon monoxide concentration, and carbon dioxide concentration.

[0077] The temperature sensing layer and the atmosphere sensing layer are integrated to build a calcination feedback monitoring engine.

[0078] In the embodiments of the present application, the sensors are arranged according to the geometric configuration and structural size of the combustion furnace, so that the monitoring engine can more accurately obtain the information in the furnace. Different geometric configurations and structural sizes will affect the temperature distribution and gas flow in the furnace.

[0079] Further, a temperature sensing layer and an atmosphere sensing layer are built. For the temperature sensing layer, temperature sensors are arranged according to the temperature variation characteristics of different regions in the combustion furnace. For example, in the high-temperature calcination area, high-temperature-resistant temperature sensors are selected, and the density of the sensors is increased; in the cooling area, temperature sensors are distributed to monitor the cooling speed and the final cooling temperature, ensuring that the clay cools according to the preset cooling curve and preventing the quality of the finished product from being affected due to improper cooling.

[0080] The monitoring indicators of the atmosphere sensing layer include oxygen concentration, carbon monoxide concentration, and carbon dioxide concentration. Oxygen concentration affects the completeness of the combustion process, and excessively low oxygen concentration will lead to insufficient fuel combustion, affecting the calcination effect; excessively high oxygen concentration may cause energy waste; carbon monoxide concentration reflects the efficiency and safety of combustion, and excessively high carbon monoxide concentration not only wastes energy but also may pose a safety hazard; carbon dioxide concentration can indirectly reflect the completeness of combustion and the atmosphere environment in the furnace.

[0081] Then, when building the calcination feedback monitoring engine by integrating the temperature sensing layer and the atmosphere sensing layer, it is ensured that the data of each sensor can be transmitted and integrated in a timely manner.

[0082] Exemplarily, data transmission techniques such as wireless transmission or wired high-speed transmission can be employed to quickly transmit the data collected by the sensors to the monitoring center. When the calcination feedback monitoring engine is built, the temperature and atmosphere in the furnace can be monitored in real time. Once abnormal data is detected, such as a sudden decrease in oxygen concentration, an increase in carbon monoxide concentration, or a temperature beyond the normal range, the system will quickly issue an alarm and make adjustments according to the preset strategy. For example, if the oxygen concentration is too low, the system will automatically increase the air input; if the temperature is too high, the fuel supply will be adjusted or the cooling air volume will be increased.

[0083] The calcination cooling execution module 14 is used to monitor the atmosphere in the kiln during the clay calcination process based on the calcination feedback monitoring engine, and to use the clay calcination simulation space to iteratively optimize the calcination cooling control parameters of the plurality of calcination cooling links with the goal of approaching the ideal air-fuel ratio sequence, and to perform clay calcination cooling control of the plurality of calcination cooling links according to the optimal calcination cooling control parameters.

[0084] In the embodiments of the present application, during the clay calcination process, first, the calcination feedback monitoring engine is used to monitor the atmosphere in the kiln in real time. At the same time, the clay calcination simulation space is used to simulate and analyze the calcination cooling effect under different parameters, with the goal of approaching the ideal air-fuel ratio sequence, to iteratively optimize the calcination cooling control parameters of the plurality of calcination cooling links. The iterative optimization process finds the gap between the current parameters and the ideal state by constantly comparing the simulation results with the ideal air-fuel ratio sequence, and fine-tunes the parameters.

[0085] Exemplarily, according to the oxygen concentration, carbon monoxide concentration, and other data provided by the calcination feedback monitoring engine, combined with the simulation results of the simulation space, the fuel flow, air input, and other parameters are adjusted so that the actual air-fuel ratio gradually approaches the ideal air-fuel ratio sequence.

[0086] Further, in the process of iterative optimization, the characteristics and requirements of each calcination cooling link are considered. Different links have different sensitivities to temperature, atmosphere, and other parameters, so they need to be treated differently when optimizing parameters. For example, for the rapid cooling and reduction color stabilization zone, attention should be paid to the control of cooling speed and atmosphere to ensure that the temperature can be quickly reduced and the reduction reaction can be realized to stabilize the color of the clay; for the controllable cooling crystal transformation zone, the cooling rate needs to be accurately controlled to promote the formation of beneficial crystal forms.

[0087] Then, after multiple iterations and optimizations, the optimal calcination cooling control parameters are determined. The optimal calcination cooling control parameters are obtained by considering factors such as calcination effect, product quality, and energy consumption. The clay calcination cooling control of the plurality of calcination cooling links is performed according to the optimal calcination cooling control parameters, ensuring that the clay achieves the best calcination effect in the entire calcination process.

[0088] The calcination cooling control parameters include cooling temperature, fuel flow, oxygen flow, carbon monoxide flow, and coal powder injection flow.

[0089] In the embodiments of the present application, the calcination cooling control parameters mentioned above include cooling temperature, fuel flow, oxygen flow, carbon monoxide flow, and coal powder injection flow.

[0090] The cooling temperature affects the physical and chemical changes of clay in each calcination cooling link. For example, in the rapid cooling and reduction color stabilization zone, a suitable cooling temperature can quickly reduce the temperature and inhibit the re-oxidation reaction, thereby stabilizing the color of the clay; in the controllable cooling crystal transformation zone, precise control of the cooling temperature can promote the expected crystal transformation of the clay, improving the quality of the finished product.

[0091] The fuel flow determines the heat supply in the calcination process, which needs to be adjusted according to different calcination cooling links and clay characteristics. For example, in the high-temperature calcination area, sufficient fuel flow is needed to maintain the required temperature to ensure the full progress of the calcination reaction.

[0092] The oxygen flow affects the combustion efficiency of the fuel and the calcination effect. A suitable oxygen flow can make the fuel fully burn and provide enough heat, while avoiding energy waste caused by excessive oxygen. The carbon monoxide concentration not only causes energy waste, but also may pose a safety hazard. By reasonably adjusting the carbon monoxide flow, the safety and efficiency of the combustion process are ensured.

[0093] Coal powder is a commonly used fuel, and the size of the coal powder injection flow will affect the stability of the combustion and heat release. In different calcination cooling links, the coal powder injection flow is precisely controlled according to actual needs to ensure the smooth progress of the clay calcination process.

[0094] Through the data obtained in real time by the calcination feedback monitoring engine and the simulation results of the clay calcination simulation space, the above parameters are adjusted and optimized to achieve the best calcination effect.

[0095] Specifically, the calcination cooling execution module 14 in the system includes:

[0096] The first link is selected as the first calcination cooling link from the several calcination cooling links, and the first ideal air-fuel ratio of the first calcination cooling link is obtained.

[0097] The clay calcination cooling of the first calcination cooling link is performed according to the preset standard calcination cooling control parameters, and the kiln atmosphere monitoring is performed by the calcination feedback monitoring engine to obtain the first atmosphere monitoring data in the adjustment time window.

[0098] a first real-time air-fuel ratio is calculated according to the first atmosphere monitoring data, a difference between the first ideal air-fuel ratio and the first real-time air-fuel ratio is calculated, and a first air-fuel ratio deviation is obtained;

[0099] The clay calcination simulation space is used to iteratively optimize and adjust the calcination cooling control parameters for the purpose of eliminating the first air-fuel ratio deviation, and first optimal calcination cooling control parameters are obtained.

[0100] In the adjustment time window, the calcination furnace is optimized and controlled according to the first optimal calcination cooling control parameters.

[0101] In the embodiments of the present application, first, in several calcination cooling links, the first link is selected as the first calcination cooling link, which is the starting point of the entire optimization process. Then, the first ideal air-fuel ratio of the first calcination cooling link is obtained based on the ideal air-fuel ratio sequence selected in the previous simulation experiment.

[0102] Secondly, the clay calcination cooling of the first calcination cooling link is performed according to the preset standard calcination cooling control parameters, and the atmosphere in the kiln is monitored through the calcination feedback monitoring engine. The first atmosphere monitoring data is obtained within the adjustment time window period. The adjustment window can be set, for example, to adjust once every 3 minutes. The first atmosphere monitoring data includes information such as oxygen concentration, carbon monoxide concentration, carbon dioxide concentration, etc. in the calcination furnace, reflecting the actual situation of the current calcination cooling process.

[0103] Thirdly, a first real-time air-fuel ratio is calculated according to the first atmosphere monitoring data, a difference between the first ideal air-fuel ratio and the first real-time air-fuel ratio is calculated, and a first air-fuel ratio deviation is obtained. The first air-fuel ratio deviation directly shows the gap between the current calcination cooling process and the ideal state.

[0104] For example, if the first ideal air-fuel ratio is 15 and the first real-time air-fuel ratio is 13, then the first air-fuel ratio deviation is 15-13 = 2.

[0105] Then, the clay calcination simulation space is used to iteratively optimize and adjust the calcination cooling control parameters for the purpose of eliminating the first air-fuel ratio deviation. In the process, the calcination cooling effects under different parameter combinations are simulated, and by comparing the simulation results with the ideal state, the cooling temperature, fuel flow, oxygen flow, carbon monoxide flow, and coal powder injection flow parameters are gradually adjusted, and finally the first optimal calcination cooling control parameters are obtained.

[0106] Based on digital twin, the first air-fuel ratio deviation is eliminated. The system will adjust the direct variable most sensitive to air-fuel ratio based on the mechanism model. After receiving the above input, the digital twin system will start a fast "what-if" simulation optimization cycle. First, the parameter perturbation is performed, that is, the system will not blindly adjust all parameters, but will adjust the direct variable most sensitive to air-fuel ratio based on the mechanism model. For example, if the current deviation is air excess (ΔAFR is +), the system will mainly reduce the damper opening slightly in simulation, or increase the gas valve opening slightly, or increase the CO injection amount slightly.

[0107] Then, the fast simulation prediction is performed. For each set of fine-tuned parameter combination, the simulation space will quickly predict the next short time in the kiln, such as how the new air-fuel ratio and temperature field will change, based on its built-in CFD, DEM and reaction kinetics model. At the same time, it predicts whether this adjustment will cause new problems.

[0108] Finally, the multi-objective optimization and decision-making are completed, that is, the system evaluates the simulation results of all parameter combinations to obtain the optimization target, the main target being that the predicted new air-fuel ratio is infinitely close to the first ideal air-fuel ratio, that is, the deviation is eliminated.

[0109] For example, assume that in the virtual space, various schemes such as "reduce the damper by 3%", "reduce the damper by 4% and increase the gas by 1%", "increase the CO injection amount by 15%" are simulated.

[0110] Scheme one: only reducing the damper may cause insufficient combustion and produce black smoke.

[0111] Scheme two: reducing the damper while increasing the gas can effectively reduce the air-fuel ratio, but may cause the furnace temperature to exceed the limit.

[0112] Scheme three: increasing the CO injection amount by 15% can effectively reduce the air-fuel ratio and has the least impact on the main combustion flame and furnace temperature, which is the safest and most effective choice.

[0113] The output is the first optimal calcination cooling control parameter, that is, the CO injection amount is increased by 15%.

[0114] Finally, the calcination cooler is optimized and regulated according to the first optimal calcination cooling control parameter within the adjustment time window. The current deviation in the calcination cooling process is corrected in time, so that the actual calcination cooling process is closer to the ideal state, and the quality and stability of the calcined clay product are improved.

[0115] For example, if the first air-fuel ratio deviation shows that the current oxygen flow is too much, causing the air-fuel ratio to deviate from the ideal value, the oxygen flow is appropriately reduced during optimization and regulation, and other parameters are adjusted accordingly based on the simulation results to ensure that the entire calcination cooling process is carried out in the best state.

[0116] After the optimization and control of the first calcination cooling link are completed, the subsequent calcination cooling links are operated in the same way. In each link, the ideal air-fuel ratio of the corresponding link is taken as the target, the calcination cooling control parameters are continuously adjusted through real-time monitoring and iterative optimization, so that the entire clay calcination process is always in the optimal state, thereby maximizing the quality and color stability and consistency of the clay calcination finished product.

[0117] Further, according to a preset adjustment time window, based on the processing sequence of the plurality of calcination cooling links, iterative optimization of the calcination cooling control parameters and iterative optimization control of the combustion furnace are continued with the ideal air-fuel ratio sequence as the target until the calcination cooling operation is completed.

[0118] In the embodiments of the present application, the calcination cooling control parameters are continuously iteratively optimized and the combustion furnace is iteratively optimized and controlled according to a preset adjustment time window. As the calcination cooling operation progresses, the ideal air-fuel ratio of each link needs to be accurately approached to ensure the continuity and stability of the entire process.

[0119] Further, in each iterative optimization, the influence of the previous link on the current link is considered. For example, the cooling speed of the previous link may change the physical and chemical properties of the clay, thereby affecting the calcination cooling effect of the current link. Therefore, after obtaining the atmosphere monitoring data of the current link, not only is the ideal air-fuel ratio of the link compared, but also the situation of the previous link is comprehensively analyzed.

[0120] When iteratively optimizing and controlling the combustion furnace, the timeliness and accuracy of the adjustment are ensured. Once abnormal data is monitored, rapid adjustment according to the preset strategy is performed to avoid problem amplification. At the same time, the effect of the adjustment is evaluated in real time, and if the effect is not ideal, secondary adjustment is performed in a timely manner.

[0121] During the entire iterative optimization process, the sensors are regularly calibrated and maintained to ensure that the collected data truly reflects the actual situation in the combustion furnace.

[0122] In summary, compared with the prior art, the present application better adapts to different clay materials and calcination processes by dynamically adjusting the preset cooling simulation times, improves the finished product quality and production efficiency, and ensures the stability and consistency of the finished product color. The built calcination feedback monitoring engine uses reasonably arranged sensors to collect data in real time, can timely discover and handle abnormal situations in the combustion furnace, and ensures the stability and safety of the calcination process.

[0123] In the calcination cooling execution module, the calcination cooling control parameters are iteratively optimized with the ideal air-fuel ratio sequence as the target, fully considering the characteristics and requirements of each calcination cooling link, comprehensively adjusting the cooling temperature, fuel flow and other parameters, and realizing the precise control of the clay calcination process. And in the optimization process, according to the preset adjustment time window, the iteration is continuously carried out, and the influence of the previous link on the current link is considered, so as to ensure the coherence and stability of the whole calcination process.

[0124] In summary, the embodiments of the present application have at least the following technical effects:

[0125] The embodiments of the present application provide a parameter optimization system and method for clay color quality control. First, a clay calcination simulation space is constructed using digital twin technology, an ideal air-fuel ratio sequence is determined in combination with calcination cooling simulation, and a calcination feedback monitoring engine is used to monitor the kiln atmosphere in real time, thereby iteratively optimizing the clay calcination cooling control parameters. By continuously adjusting the control parameters, the actual calcination process is as close as possible to the ideal air-fuel ratio sequence, thereby improving the stability and consistency of the clay product color. Through the above technical solution, the problem of large product color difference caused by the difficulty in accurately controlling the kiln atmosphere in traditional clay calcination is solved, and the quality of clay products is improved. At the same time, the system and method have high automation degree in the operation process, reducing manual intervention and reducing labor cost and the influence of human factors on product quality. And through real-time monitoring and optimization control, energy can be effectively saved, unnecessary fuel consumption is reduced, and the concept of green production is met.

[0126] Embodiment two, as Figure 2 shown, based on the same inventive concept of the parameter optimization system for clay color quality control provided in embodiment one, the embodiments of the present application also provide a parameter optimization method for clay color quality control, comprising:

[0127] Based on digital twin technology, a clay calcination simulation space is constructed according to the structural attribute information of the combustion furnace and the structural attribute information of the clay;

[0128] A plurality of calcination cooling simulations in a preset calcination cooling time zone are performed in the clay calcination simulation space, a plurality of ideal air-fuel ratios of a plurality of calcination cooling links meeting the product index are determined, and an ideal air-fuel ratio sequence is generated;

[0129] A plurality of sensors are deployed inside the combustion furnace to build a calcination feedback monitoring engine;

[0130] In the clay calcination process, the kiln atmosphere is monitored based on the calcination feedback monitoring engine, and the clay calcination simulation space is utilized to iteratively optimize the calcination cooling control parameters of the plurality of calcination cooling links aiming at the ideal air-fuel ratio sequence, and the clay calcination cooling control of the plurality of calcination cooling links is performed according to the optimal calcination cooling control parameters.

[0131] In one embodiment, based on digital twin technology, a clay calcination simulation space is constructed according to the structural attribute information of the combustion furnace and the clay structural attribute information, including:

[0132] Based on digital twin technology, a three-dimensional digital model of the combustion furnace is built according to the structural attribute information of the combustion furnace, and a material attribute library is defined simultaneously according to the clay structural attribute information, completing the digital mapping of the physical entity, wherein the clay structural attribute information includes clay chemical composition, mineral phase and thermal physical properties;

[0133] The three-dimensional digital model of the combustion furnace is coupled with a multi-physics field simulation model to construct a clay calcination simulation space, wherein the multi-physics field simulation model at least includes a computational fluid dynamics model, a discrete element method model and a reaction kinetics model;

[0134] Through a data interface, sensor data in the combustion furnace is collected in real time to drive and calibrate the operation of the clay calcination simulation space, and bidirectional interaction between the digital virtual body and the physical entity.

[0135] In one embodiment, a plurality of calcination cooling simulations in a preset calcination cooling time zone are performed in the clay calcination simulation space to determine a plurality of ideal air-fuel ratios of a plurality of calcination cooling links that meet the processing product indicators, and an ideal air-fuel ratio sequence is generated, including:

[0136] Based on historical clay calcination records, a plurality of calcination cooling links are set in a preset calcination cooling time zone, and an air-fuel ratio threshold in the clay calcination process is obtained, wherein the calcination cooling links are determined based on the temperature interval division in the furnace, including a rapid cooling reduction color stabilization zone, a controllable cooling crystal transformation zone, an atmosphere transition zone, an oxidation safety purification zone and a cooling discharge zone;

[0137] For the plurality of calcination cooling links, any air-fuel ratio within the air-fuel ratio threshold is randomly selected for combination to obtain a first air-fuel ratio sequence;

[0138] In the clay calcination simulation space, calcination cooling simulation is performed according to the first air-fuel ratio sequence, and first simulation product quality information is output, wherein the first simulation product quality information includes a first predicted product color value and a first predicted product activity index;

[0139] determining whether the first predicted product activity index meets the product index, if not, discarding the first air-fuel ratio sequence;

[0140] if yes, retaining the first air-fuel ratio sequence, and evaluating a first product quality coefficient according to the first predicted product chroma value and the first predicted product activity index, and marking the first air-fuel ratio sequence;

[0141] continuing to randomly select an air-fuel ratio sequence within the air-fuel ratio threshold value for calcination and cooling simulation until a preset cooling simulation number is reached, and outputting an air-fuel ratio sequence corresponding to the maximum product quality coefficient as an ideal air-fuel ratio sequence.

[0142] The preset cooling simulation number setting method comprises:

[0143] Retrieving historical clay calcination records within a historical time range by taking clay chemical components, mineral phases and thermophysical properties in the clay structure attribute information as material constraint conditions, and counting a current product calcination qualification rate under the material constraint conditions;

[0144] Setting a ratio of the current product calcination qualification rate to a historical product calcination qualification rate average within the historical time range as a calcination and cooling control complexity;

[0145] Optimizing and adjusting a standard cooling simulation number according to the calcination and cooling control complexity to obtain the preset cooling simulation number.

[0146] Further, in one application embodiment, a calcination feedback monitoring engine is deployed inside the combustion furnace, comprising:

[0147] According to the geometric configuration and structural size in the structural attribute information of the combustion furnace, a temperature sensing layer and an atmosphere sensing layer are built, wherein the monitoring indexes of the atmosphere sensing layer include oxygen concentration, carbon monoxide concentration and carbon dioxide concentration;

[0148] The temperature sensing layer and the atmosphere sensing layer are integrated to build the calcination feedback monitoring engine.

[0149] The calcination and cooling control parameters include cooling temperature, fuel flow, oxygen flow, carbon monoxide flow and coal powder injection flow.

[0150] Based on the calcination feedback monitoring engine, the atmosphere inside the kiln is monitored, and the clay calcination simulation space is utilized to iteratively optimize the calcination and cooling control parameters of the several calcination and cooling links with the ideal air-fuel ratio sequence as the target, and to perform clay calcination and cooling control of the several calcination and cooling links according to the optimal calcination and cooling control parameters, comprising:

[0151] The first link is selected as a first calcination and cooling link from the plurality of calcination and cooling links, and a first ideal air-fuel ratio of the first calcination and cooling link is obtained;

[0152] The clay calcination and cooling of the first calcination and cooling link is performed according to preset standard calcination and cooling control parameters, and the atmosphere monitoring in the kiln is performed through the calcination feedback monitoring engine to obtain first atmosphere monitoring data in an adjustment time window;

[0153] A first real-time air-fuel ratio is calculated according to the first atmosphere monitoring data, a difference between the first ideal air-fuel ratio and the first real-time air-fuel ratio is calculated, and a first air-fuel ratio deviation is obtained;

[0154] The clay calcination simulation space is used to iteratively optimize and adjust the calcination and cooling control parameters for the purpose of eliminating the first air-fuel ratio deviation, and first optimal calcination and cooling control parameters are obtained;

[0155] In the adjustment time window, the combustion furnace is optimized and controlled according to the first optimal calcination and cooling control parameters.

[0156] Further, according to a preset adjustment time window, the processing sequence of the plurality of calcination and cooling links is used to iteratively optimize and adjust the calcination and cooling control parameters and iteratively optimize and control the combustion furnace for the purpose of approaching the ideal air-fuel ratio sequence, until the calcination and cooling operation is completed.

[0157] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The above-mentioned specific embodiments of the present application are described. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or may be advantageous.

[0158] The above-mentioned only for the preferred embodiments of the present application, and not to limit the present application, any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application, should be included in the protection scope of the present application.

[0159] The present application and the drawings are only exemplary descriptions of the present application, and are considered to cover any and all modifications, changes, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art can make various modifications and changes to the present application without departing from the scope of the present application. Thus, if these modifications and changes of the present application belong to the scope of the present application and its equivalents, the present application intends to include these modifications and changes.

Claims

1. A parameter optimization system for clay color quality control, characterized by, The system comprises: An emulation space construction module, configured to construct a clay calcination emulation space according to structural attribute information of a combustion furnace and structural attribute information of clay based on digital twinning technology; A calcination and cooling simulation module, configured to perform a plurality of times of calcination and cooling simulation in a preset calcination and cooling time zone in the clay calcination emulation space, determine a plurality of ideal air-fuel ratios of a plurality of calcination and cooling links meeting product processing indexes, and generate an ideal air-fuel ratio sequence; A monitoring engine construction module, configured to deploy a plurality of sensors inside the combustion furnace to construct a calcination feedback monitoring engine; A calcination and cooling execution module, configured to perform kiln atmosphere monitoring based on the calcination feedback monitoring engine during clay calcination, and iteratively optimize calcination and cooling control parameters of the plurality of calcination and cooling links with the clay calcination emulation space as a target to perform clay calcination and cooling control according to optimal calcination and cooling control parameters.

2. The parameter optimization system for clay color quality control of claim 1, wherein, Based on digital twinning technology, a clay calcination emulation space is constructed according to structural attribute information of a combustion furnace and structural attribute information of clay, comprising: A three-dimensional digital model of the combustion furnace is constructed according to the structural attribute information of the combustion furnace based on digital twinning technology, and a material attribute library is defined simultaneously according to the structural attribute information of the clay, completing digital mapping of the physical entity, wherein the structural attribute information of the clay includes clay chemical components, mineral phases and thermophysical properties; The three-dimensional digital model of the combustion furnace is coupled with a multi-physics field simulation model to construct the clay calcination emulation space, wherein the multi-physics field simulation model at least includes a computational fluid dynamics model, a discrete element method model and a reaction kinetics model; Sensor data in the combustion furnace is collected in real time through a data interface to drive and calibrate the operation of the clay calcination emulation space, and bidirectional interaction between the digital virtual body and the physical entity.

3. The parameter optimization system for clay color quality control of claim 1, wherein, A plurality of times of calcination and cooling simulation in a preset calcination and cooling time zone is performed in the clay calcination emulation space, a plurality of ideal air-fuel ratios of a plurality of calcination and cooling links meeting product processing indexes are determined, and an ideal air-fuel ratio sequence is generated, comprising: Based on historical clay calcination records, a plurality of calcination and cooling links in a preset calcination and cooling time zone are set, and an air-fuel ratio threshold value in a clay calcination process is obtained, wherein the calcination and cooling links are determined based on furnace temperature interval division, including a rapid cooling reduction color stabilizing zone, a controllable cooling crystal transformation zone, an atmosphere transition zone, an oxidation safety purification zone and a cooling discharge zone; For the plurality of calcination and cooling links, any air-fuel ratio in the air-fuel ratio threshold value is randomly selected for combination to obtain a first air-fuel ratio sequence; In the clay calcination emulation space, calcination and cooling simulation is performed according to the first air-fuel ratio sequence, and first simulation product quality information is output, wherein the first simulation product quality information includes a first predicted product color value and a first predicted product activity index; It is judged whether the first predicted product activity index meets the product processing indexes, and if not, the first air-fuel ratio sequence is discarded. If yes, the first air-fuel ratio sequence is reserved and marked according to a first predicted product chroma value and a first predicted product activity index evaluation result, and a first product quality coefficient is obtained; The air-fuel ratio sequence corresponding to the maximum product quality coefficient is output as an ideal air-fuel ratio sequence.

4. The parameter optimization system for clay color quality control of claim 3, wherein, The preset cooling simulation number setting method comprises: The clay chemical components, mineral phases and thermophysical properties in the clay structure attribute information are used as material constraint conditions to search for historical clay calcination records in a historical time range, and a current product calcination qualified rate under the material constraint conditions is counted; The ratio of the current product calcination qualified rate to the average historical product calcination qualified rate in the historical time range is set as a calcination cooling control complexity; The standard cooling simulation number is adjusted and optimized according to the calcination cooling control complexity, and the preset cooling simulation number is obtained.

5. The parameter optimization system for clay color quality control of claim 1, wherein, A plurality of sensors are arranged in the combustion furnace to build a calcination feedback monitoring engine, comprising: According to the geometric configuration and structural size in the structural attribute information of the combustion furnace, a temperature sensing layer and an atmosphere sensing layer are built, wherein the monitoring indexes of the atmosphere sensing layer include oxygen concentration, carbon monoxide concentration and carbon dioxide concentration; The temperature sensing layer and the atmosphere sensing layer are integrated to build the calcination feedback monitoring engine.

6. The parameter optimization system for clay color quality control of claim 1, wherein, Based on the calcination feedback monitoring engine, the kiln atmosphere is monitored, and the clay calcination simulation space is used to iteratively optimize the calcination cooling control parameters of the plurality of calcination cooling links with the ideal air-fuel ratio sequence as the target, and the clay calcination cooling control of the plurality of calcination cooling links is performed according to the optimal calcination cooling control parameters, comprising: A first link is selected from the plurality of calcination cooling links as a first calcination cooling link, and a first ideal air-fuel ratio of the first calcination cooling link is obtained; The clay calcination cooling of the first calcination cooling link is performed according to the preset standard calcination cooling control parameters, and the kiln atmosphere is monitored by the calcination feedback monitoring engine to obtain first atmosphere monitoring data in an adjustment time window; A first real-time air-fuel ratio is calculated according to the first atmosphere monitoring data, the difference between the first ideal air-fuel ratio and the first real-time air-fuel ratio is calculated to obtain a first air-fuel ratio deviation; The clay calcination simulation space is used to iteratively optimize and adjust the calcination cooling control parameters with the purpose of eliminating the first air-fuel ratio deviation, and a first optimal calcination cooling control parameter is obtained; In the adjustment time window, the combustion furnace is optimized and controlled according to the first optimal calcination cooling control parameter.

7. The parameter optimization system for clay color quality control of claim 1, wherein, According to the preset adjustment time window, the processing sequence of the plurality of calcination cooling links, the iterative optimization of the calcination cooling control parameters and the iterative optimization control of the combustion furnace are continued with the ideal air-fuel ratio sequence as the target until the calcination cooling operation is completed.

8. The parameter optimization system for clay color quality control of claim 1, wherein, The calcination cooling control parameters include cooling temperature, fuel flow, oxygen flow, carbon monoxide flow and coal powder injection flow.

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