Control method and equipment for sanitary ceramic body drying room and storage medium

Abstract

The invention discloses a sanitary ceramic green body drying room control method and device and a storage medium, and relates to the technical field of drying room control, the method comprises the steps that multi-dimensional data in a drying room is acquired, and the multi-dimensional data comprises green body state parameters, drying room environment parameters and green body basic attribute parameters; based on the green body state parameters, the drying room environment parameters and the green body basic attribute parameters, drying characteristic parameters are determined; according to the drying characteristic parameters of the sanitary ceramic green body, the overall target temperature, the target relative humidity and the target air speed of an air outlet are calculated; and the average temperature in the drying room is controlled to be close to the overall target temperature, the average humidity in the drying room is controlled to be close to the target relative humidity, and the air outlet air speed of the drying room is controlled to be close to the target air speed. The method can improve the reliability of the sanitary ceramic body drying process.

Description

Technical Field

[0001] This application relates to the field of control technology for drying rooms, and in particular to a control method, equipment and storage medium for a drying room for sanitary ceramic blanks. Background Technology

[0002] In the production process of sanitary ceramic products (such as toilets and washbasins), the drying of the green body is a crucial step connecting the forming, glazing, and firing stages, directly determining the suitability of the green body for subsequent processing and the quality stability of the final product. The core objective of the drying process is to gradually remove internal moisture to the target moisture content while ensuring the integrity of the green body structure.

[0003] Currently, the traditional control method for blank drying chambers commonly used in the industry is based on static control with fixed parameters. Specifically, a small number of temperature and humidity sensors are placed at fixed locations within the drying chamber to collect ambient temperature and humidity data as the basis for control. The heating and dehumidification systems are driven to operate according to predetermined parameters throughout the process by pre-setting fixed temperature and humidity change curves. The hot air circulation system adopts a uniform air supply mode, with all air outlets maintaining a constant air velocity to achieve hot air circulation within the drying chamber.

[0004] Traditional control methods have significant drawbacks, resulting in poor reliability of green body drying. These problems manifest in three main ways: First, the drying quality is unstable, easily leading to cracking, deformation, and uneven drying. Second, drying efficiency is low, with long drying cycles for single batches of green bodies, and large fluctuations in the moisture content of the dried green bodies, affecting the stability of subsequent glazing and firing processes. Third, energy waste is severe; fixed parameter control cannot match the drying needs of green bodies in different areas, and the uniform air delivery mode leads to an imbalance in hot air resource allocation, resulting in both under-drying and over-drying in certain areas, increasing production costs. Summary of the Invention

[0005] This application provides a control method, equipment, and storage medium for a sanitary ceramic blank drying chamber, which can improve the reliability of the sanitary ceramic blank drying process.

[0006] To achieve the above objectives, this application adopts the following technical solution: In a first aspect, this application provides a method for controlling a drying chamber for sanitary ceramic blanks, the method comprising: Acquire multi-dimensional data from the drying chamber, including billet state parameters, drying chamber environmental parameters, and billet basic attribute parameters; Based on the billet state parameters, the drying chamber environmental parameters, and the billet basic property parameters, the drying characteristic parameters are determined; Based on the drying characteristic parameters of the sanitary ceramic blank, calculate the overall target temperature, target relative humidity, and target air velocity at the air outlet; The average temperature inside the drying chamber is controlled to approach the overall target temperature, the average humidity inside the drying chamber is controlled to approach the target relative humidity, and the air velocity at the air outlet of the drying chamber is controlled to approach the target air velocity.

[0007] This control method collects multi-dimensional data related to the green body state, drying chamber environment, and basic green body properties. By determining drying characteristic parameters and calculating target control parameters (overall target temperature, target relative humidity, and target air velocity at the outlet), it achieves dynamic adjustment of key control parameters in the drying chamber. This method can improve issues such as cracking, deformation, and uneven drying during the green body drying process, shorten the drying cycle for a single batch of green bodies, reduce the fluctuation range of the moisture content of the dried green bodies, lower energy consumption, improve the operational stability of subsequent glazing and firing processes, and optimize the overall drying effect of sanitary ceramic green bodies.

[0008] In some possible implementations, the billet state parameters include: the average moisture content of the billet, the real-time volumetric deformation of the billet, and the real-time moisture content of the billet; the drying chamber environmental parameters include: the ambient temperature of the area where the billet is located, the surface temperature of the billet, the average temperature of the drying chamber, the drying reference temperature of the billet, the average CO2 concentration of the drying chamber, and the CO2 reference concentration inside the drying chamber; the billet basic property parameters include: the thermal conductivity of the billet material, the target moisture content of the billet, the maximum allowable volumetric deformation of the billet, and the initial moisture content of the billet; The process of determining drying characteristic parameters based on the billet state parameters, the drying chamber environmental parameters, and the billet basic property parameters includes:

[0009] in, This represents the drying characteristic parameters of the i-th billet at time t; α represents the moisture content weighting coefficient. This represents the average moisture content of the i-th billet at time t. Indicates the target moisture content of the billet. This represents the initial moisture content of the i-th billet; This represents the deformation weighting coefficient. This represents the real-time volumetric deformation of the i-th billet at time t. This indicates the maximum allowable volumetric deformation of the billet; This represents the weighting coefficient for moisture content uniformity, j represents the sensor monitoring location number, and M represents the number of monitoring points per billet. This represents the real-time moisture content of the i-th billet at the j-th monitoring point at time t; This represents the temperature difference weighting coefficient. This represents the ambient temperature of the region where the billet is located at time t. This represents the surface temperature of the i-th blank at time t. Indicates the thermal conductivity of the blank material; This represents the temperature correction factor. This represents the average temperature of the drying room at time t. Indicates the reference temperature for drying the billet. This represents the CO2 concentration correction factor. This represents the average CO2 concentration in the drying room at time t. This indicates the baseline CO2 concentration inside the drying chamber.

[0010] This method clarifies the specific ranges of billet state parameters, drying chamber environmental parameters, and basic billet properties. It also constructs a multi-parameter coupled drying characteristic parameter calculation model using specific formulas covering moisture content deviation, deformation, moisture content uniformity, temperature difference, ambient temperature, and CO2 concentration correction terms. This calculation method comprehensively considers key influencing factors related to billet drying, enabling the drying characteristic parameters to objectively reflect the drying process and state of the billet at a specific moment. This provides comprehensive and reliable data support for the rational calculation of subsequent target control parameters, reducing drying quality defects caused by incomplete parameter considerations and lowering the risk of billets becoming scrap.

[0011] In some possible implementations, the overall target temperature is calculated in the following way:

[0012] in, This represents the overall target temperature of the drying room at time t. Indicates the reference temperature for drying the billet. This represents the average drying characteristic parameter of all billets at time t. This represents the temperature adjustment coefficient for moisture content deviation. This represents the average moisture content of all billets at time t. Indicates the target moisture content of the billet. This represents the temperature adjustment coefficient for deformation. This represents the average volumetric deformation of all billets at time t. This indicates the maximum allowable volumetric deformation of the billet; This represents the temperature difference temperature adjustment coefficient. This represents the average temperature difference between the billet and the environment at time t. This indicates the thermal conductivity of the billet material. This represents the temperature adjustment coefficient for CO2 concentration. This represents the average CO2 concentration in the drying room at time t. This indicates the baseline CO2 concentration inside the drying chamber.

[0013] This method calculates the overall target temperature using a specific formula that incorporates factors such as average drying characteristic parameters, moisture content deviation, deformation, temperature difference, and CO2 concentration deviation, enabling dynamic adjustment of the target temperature. This calculation method adapts the overall target temperature setting to the actual drying needs of the billet, avoiding over-drying or under-drying problems that may occur under traditional fixed temperature control modes. It reduces cracking and mold growth in the billet caused by unsuitable temperatures, ensures the stability of the billet structure, and simultaneously reduces unnecessary energy consumption, improving the economic efficiency of the drying process.

[0014] In some possible implementations, the target relative humidity is calculated in the following manner:

[0015] in, This represents the overall target relative humidity of the drying room at time t. This represents the overall target temperature of the drying room at time t. Indicates the reference temperature for drying the billet. Indicates the rate of change of moisture content and humidity adjustment coefficient. This represents the average moisture content of all billets at time t. express The average moisture content of all billets at that time. Indicates the data collection time interval. This represents the rate of change of the billet temperature and the humidity adjustment coefficient. This represents the average surface temperature of all blanks at time t. express The average surface temperature of all blanks at any given time.

[0016] In this method, the calculation of the target relative humidity is combined with the overall target temperature, the rate of change of the green body moisture content, and the rate of change of the green body surface temperature to construct a temperature and humidity linkage regulation mechanism. This mechanism matches the regulation of relative humidity with the green body's moisture evaporation requirements and thermal state, avoiding problems such as prolonged drying cycle or mold growth caused by excessive humidity, and the formation of a hard shell or cracking on the green body surface caused by excessive humidity. This improves the stability of the drying process and further optimizes the drying quality of the green body.

[0017] In some possible implementations, the target wind speed is calculated in the following way:

[0018] in, This represents the target wind speed at the q-th air outlet at time t. Indicates the reference wind speed at the air outlet. This represents the average drying characteristic parameter of the billet within the region corresponding to the q-th air outlet at time t. This represents the average drying characteristic parameters of all billets at time t. The wind speed adjustment coefficient indicates the regional drying demand. This represents the maximum thickness of the blank within the area corresponding to the q-th air outlet. This represents the average thickness of all blanks. This represents the wind speed regulation coefficient for airflow homogenization. This indicates the reference airflow velocity inside the drying chamber. It represents the average airflow velocity in the area corresponding to the q-th air outlet at time t.

[0019] This method employs differentiated target wind speed calculation techniques for each air outlet, adjusting them in conjunction with factors such as the average drying characteristic parameters of the billet in the corresponding area, the billet thickness, and the regional airflow velocity. This breaks the limitations of the traditional uniform air supply mode. This approach achieves a rational allocation of hot air resources, avoiding the coexistence of under-drying and over-drying in localized areas within the drying chamber. It improves the uniformity of billet drying, reduces differences in billet drying quality caused by unbalanced airflow distribution, and simultaneously reduces energy waste due to ineffective air supply, thereby enhancing resource utilization efficiency in the drying process.

[0020] In some possible implementations, the process of controlling the average temperature within the drying chamber to approach the overall target temperature includes:

[0021] in, This represents the control quantity of the heating system at time t. This represents the proportionality coefficient. This represents the temperature deviation at time t. Represents the integral coefficient. This represents the integral term, the cumulative value of the temperature deviation from time 0 to time t. Represents the integral variable. Denotes the differential coefficient. Indicates the rate of change of temperature deviation. Represents the fuzzy control coefficient. Represents a symbolic function. When the time is positive, output 1. When the value is negative, output -1. This represents the change in temperature deviation at time t.

[0022] This method employs a composite algorithm combining proportional, integral, derivative, and fuzzy control to adjust the control quantity of the heating system. This enables rapid response to temperature deviations, elimination of steady-state temperature errors, prediction of temperature change trends, and avoidance of overshoot during temperature regulation. This composite algorithm allows the average temperature of the drying chamber to quickly and stably approach the overall target temperature, ensuring accurate temperature control, reducing drying quality problems caused by temperature fluctuations, and improving the reliability of the drying process.

[0023] In some possible implementations, the process of controlling the average humidity in the drying chamber to approach the target relative humidity includes:

[0024] in, This represents the humidity control level at time t. Indicates the humidity regulation coefficient. This represents the average relative humidity at time t. This represents the overall target relative humidity of the drying room at time t. Indicates the volume of the drying room. Indicates air density, This indicates the specific heat capacity of air at constant pressure.

[0025] This method calculates humidity control parameters using a specific formula that combines parameters such as the volume of the drying chamber, air density, and specific heat capacity of air at constant pressure, thus quantifying dehumidification or humidification needs. This calculation method allows the average relative humidity of the drying chamber to be adjusted according to actual needs, ensuring that humidity fluctuates within a suitable range. This avoids adverse effects on the drying effect of the blanks due to improper humidity adjustment, further guaranteeing the stability of drying quality and improving the reliability of the dehumidification and humidification systems.

[0026] In some possible implementations, the process of controlling the air outlet velocity of the drying chamber to approach the target air velocity includes:

[0027] in, This represents the target rotational speed of the q-th fan at time t. Indicates the reference speed of the fan. This represents the target wind speed at the q-th air outlet at time t. Indicates the reference wind speed at the air outlet. Indicates the current correction factor. This represents the real-time operating current of the q-th fan at time t. This indicates the reference operating current of the wind turbine.

[0028] In this method, the outlet air velocity is adjusted to approach the target air velocity by regulating the target fan speed, and corrections are made based on the real-time operating current of the fan to ensure the accuracy of the air velocity regulation and avoid deviations caused by changes in fan load. This adjustment method ensures that the outlet air velocity in each area can stably meet the drying requirements of the corresponding area of ​​the billet, improves the uniformity of the airflow distribution, reduces problems such as uneven drying or billet damage caused by abnormal air velocity, ensures the smooth progress of the drying process, and maintains the reliability of the drying process.

[0029] Secondly, this application provides a control device for a sanitary ceramic blank drying chamber, comprising: The acquisition module is used to acquire multi-dimensional data from the drying chamber, including billet state parameters, drying chamber environmental parameters, and billet basic attribute parameters. The determination module is used to determine drying characteristic parameters based on the billet state parameters, the drying chamber environment parameters, and the billet basic attribute parameters; The calculation module is used to calculate the overall target temperature, target relative humidity, and target air velocity at the air outlet based on the drying characteristic parameters of the sanitary ceramic blank. The control module is used to control the average temperature inside the drying chamber to approach the overall target temperature, the average humidity inside the drying chamber to approach the target relative humidity, and the air outlet speed of the drying chamber to approach the target air speed.

[0030] Thirdly, this application provides a computing device, including a memory and a processor; The memory stores one or more computer programs, the one or more computer programs including instructions; when the instructions are executed by the processor, the computing device performs the method as described in any one of the first aspects.

[0031] Fourthly, this application provides a computer-readable storage medium for storing a computer program for performing the method as described in any one of the first aspects.

[0032] As can be seen from the above technical solution, this application has at least the following beneficial effects: Traditional sanitary ceramic body drying chambers employ static control with fixed parameters. Because they only collect limited environmental temperature and humidity data, adjust according to preset curves, and provide uniform airflow, they suffer from problems such as limited sensing dimensions, rigid control logic, and unbalanced energy distribution. This leads to unstable drying quality (prone to cracking, deformation, uneven drying), low drying efficiency (long cycle, large moisture content fluctuations), and significant energy waste. In contrast, the control method provided in this application collects multi-dimensional data on the body state, drying chamber environment, and basic body properties. Based on this data, it first determines drying characteristic parameters that comprehensively reflect the body's drying state, and then dynamically calculates... The overall target temperature, target relative humidity, and target air velocity at the air outlet are all set, ultimately driving the relevant systems to bring the temperature, humidity, and air velocity in the drying chamber closer to the target values. By collecting data from multiple dimensions, it overcomes the limitations of traditional sensing. Dynamic control based on drying characteristic parameters breaks the rigid logic of fixed parameters, and differentiated air velocity allocation optimizes energy utilization. This addresses the problems of traditional methods in a targeted manner, ultimately achieving improved stability of the drying quality of the green body, shortened drying cycle, reduced moisture content fluctuation range, and reduced energy consumption. At the same time, it provides a stable and suitable green body for subsequent glazing and firing processes, improving the reliability of the entire production process.

[0033] It should be understood that the descriptions of technical features, technical solutions, beneficial effects, or similar language in this application do not imply that all features and advantages can be achieved in any single embodiment. Rather, it is understood that the description of a feature or beneficial effect means that a specific technical feature, technical solution, or beneficial effect is included in at least one embodiment. Therefore, the descriptions of technical features, technical solutions, or beneficial effects in this specification do not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions, and beneficial effects described in this embodiment can be combined in any suitable manner. Those skilled in the art will understand that embodiments can be implemented without one or more specific technical features, technical solutions, or beneficial effects of a particular embodiment. In other embodiments, additional technical features and beneficial effects may be identified in specific embodiments that do not embody all embodiments. Attached Figure Description

[0034] Figure 1 A flowchart illustrating a control method for a sanitary ceramic blank drying chamber provided in this application embodiment; Figure 2 A schematic diagram of a control device for a sanitary ceramic blank drying room provided in an embodiment of this application; Figure 3 This is a schematic diagram of a computing device provided in an embodiment of this application. Detailed Implementation

[0035] The terms "first," "second," and "third," etc., used in this application specification and accompanying drawings are used to distinguish different objects, not to limit a specific order.

[0036] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0037] To ensure clarity and conciseness in the description of the following embodiments, a brief introduction to the related technologies is given first: Green body state parameters: These are parameters that reflect the state of the sanitary ceramic green body during the drying process, including the average moisture content of the green body, real-time volumetric deformation, and real-time moisture content.

[0038] Drying chamber environmental parameters: These refer to environmental parameters related to the drying of the billet in the drying chamber, including the ambient temperature of the area where the billet is located, the surface temperature of the billet, the average temperature of the drying chamber, the baseline temperature for drying the billet, the average CO2 concentration in the drying chamber, and the baseline CO2 concentration in the drying chamber.

[0039] Basic property parameters of the green body: These refer to the inherent property parameters of the sanitary ceramic green body itself, including the thermal conductivity of the green body material, the target moisture content of the green body, the maximum allowable volumetric deformation of the green body, and the initial moisture content of the green body.

[0040] Drying characteristic parameters: These are parameters calculated using specific formulas based on the green body state parameters, drying chamber environmental parameters, and green body basic property parameters, used to reflect the drying process and state of the green body at a specific moment.

[0041] Overall target temperature: refers to the average temperature value that the drying chamber needs to approach at a specific time, calculated based on factors such as drying characteristic parameters, green body moisture content, volume deformation, temperature difference, and CO2 concentration.

[0042] Target relative humidity: refers to the average relative humidity value that the drying room needs to approach at a specific time, calculated by combining factors such as the overall target temperature, the rate of change of the moisture content of the billet, and the rate of change of the surface temperature of the billet.

[0043] Target wind speed: refers to the wind speed value that each air outlet of the drying chamber needs to approach at a specific time, calculated by combining the corresponding area's green body drying characteristic parameters, green body thickness, and area airflow velocity.

[0044] Temperature control parameters: These are the operating control parameters of the heating system at a specific moment, determined by a composite algorithm that combines proportional, integral, derivative and fuzzy control to make the average temperature of the drying chamber approach the overall target temperature.

[0045] Humidity control parameters: These are the dehumidification or humidification control parameters that the dehumidification or humidification system needs to execute at a specific time to make the average relative humidity of the drying room approach the target relative humidity, calculated using a specific formula.

[0046] Target fan speed: refers to the operating speed of the fan at a specific moment, determined by factors such as the fan's base speed, the ratio of the target speed to the base speed, and the fan's real-time operating current, in order to make the corresponding air outlet speed approach the target speed.

[0047] Drying the sanitary ceramic body is a crucial process connecting forming, glazing, and firing. Its purpose is to gradually remove internal moisture to a target moisture content (usually 3%-5%) while maintaining the integrity of the body structure. This process directly affects the suitability of subsequent processing and the quality stability of the final product. Currently, the traditional control method for body drying chambers commonly used in the industry is based on static control with fixed parameters. Specifically, a small number of temperature and humidity sensors are placed at fixed locations within the drying chamber to collect environmental parameters for control. The heating and dehumidification systems are driven according to predetermined parameters throughout the process by preset fixed temperature and humidity change curves. The hot air circulation system adopts a uniform air supply mode, with all air outlets maintaining a constant air velocity to achieve hot air circulation within the drying chamber.

[0048] The aforementioned traditional control methods have significant limitations: First, they only collect some environmental parameters of the drying chamber, failing to include the green body's state parameters and basic attribute parameters, resulting in an incomplete understanding of the actual drying state of the green body and the differences in drying requirements in different areas. Second, the control logic lacks dynamic adjustment capabilities, and the preset fixed parameters cannot adapt to the state changes of the green body during the drying process and fluctuations in the external environment. Third, the uniform air supply mode leads to an imbalance in the distribution of hot air resources, failing to specifically meet the drying needs of green bodies in different areas. These limitations directly cause a series of problems, including unstable green body drying quality, prone to cracking, deformation, and uneven drying; low drying efficiency, long drying cycles for single batches of green bodies, and large fluctuations in the moisture content of the dried green bodies, adversely affecting the stability of subsequent glazing and firing processes; and serious energy waste, increasing production costs. These issues collectively constitute the technical problems that this application aims to solve.

[0049] To address the aforementioned technical problems, this application proposes a control method for a drying chamber for sanitary ceramic blanks. This method can be applied to processing equipment, which can be a terminal or a server. Terminals include, but are not limited to, smartphones, tablets, laptops, personal digital assistants, or smart wearable devices. Servers can be cloud servers, such as central servers in a central cloud computing cluster or edge servers in an edge cloud computing cluster. Alternatively, servers can be located in a local data center. A local data center refers to a data center directly controlled by the user.

[0050] Specifically, the method includes: First, breaking through the limitations of traditional single-parameter acquisition, comprehensively acquiring multi-dimensional data, including billet state parameters reflecting the billet's own state during the drying process, drying chamber environmental parameters related to billet drying, and basic billet attribute parameters reflecting the inherent properties of the billet, thus achieving comprehensive control over the billet and the drying environment; Second, based on the acquired billet state parameters, drying chamber environmental parameters, and basic billet attribute parameters, determining drying characteristic parameters through a specific calculation method. These drying characteristic parameters can comprehensively reflect the drying process and state of the billet at a specific moment, establishing... The system establishes a correlation between the actual state of the raw ceramic body and the control parameters. Secondly, it dynamically calculates the overall target temperature, target relative humidity, and target air velocity at each air outlet of the drying chamber, based on drying characteristic parameters. This ensures that the control parameters are adapted to the actual drying needs of the ceramic body and the drying differences in different areas. Finally, it drives the heating, dehumidification, and hot air circulation systems within the drying chamber, controlling the average temperature, average humidity, and air velocity at the outlets to approach the overall target temperature, the average humidity, and the target relative humidity, thus forming a complete process of data acquisition, feature analysis, parameter calculation, and dynamic control. This approach specifically addresses the limitations of traditional control methods, breaks the rigid logic of static control, optimizes hot air resource allocation, and systematically solves the problems related to drying quality, drying efficiency, and energy consumption inherent in traditional control methods, thereby improving the reliability of the sanitary ceramic body drying process.

[0051] To make the technical solution of this application clearer and easier to understand, the technical solution of this application will be described below with reference to the accompanying drawings, such as... Figure 1 As shown in the figure, this figure is a flowchart of a control method for a sanitary ceramic blank drying room provided in an embodiment of this application.

[0052] The method includes: S101. Obtain multi-dimensional data from the drying chamber, including billet state parameters, drying chamber environmental parameters, and billet basic attribute parameters.

[0053] The multi-dimensional data refers to data collected within a complete drying cycle. The billet state parameters include: average moisture content, real-time volumetric deformation, and real-time moisture content. The drying chamber environmental parameters include: ambient temperature of the area where the billet is located, surface temperature of the billet, average temperature of the drying chamber, baseline drying temperature of the billet, average CO2 concentration in the drying chamber, and baseline CO2 concentration within the drying chamber. The billet basic property parameters include: thermal conductivity of the billet material, target moisture content, maximum allowable volumetric deformation, and initial moisture content.

[0054] In some embodiments, for the billet state parameters, a distributed microwave sensor array is arranged at the top, middle, bottom and thin-walled key parts of each row of billets to collect the real-time moisture content of each monitoring point; the real-time volume deformation of the billet is collected by a laser profilometer; the surface temperature of the billet is collected by a contact temperature sensor, and then the average moisture content of the billet is obtained by calculation methods such as arithmetic average.

[0055] The microwave sensors can be installed and fixed by a bracket. The distance between the bracket and the top of the billet is controlled at 5-10cm, and the horizontal distance between the bracket and the side wall of the billet is 3-5cm, ensuring that the sensor has no physical contact with the billet. The number of microwave sensors placed on each billet (i.e., the number of monitoring points M per billet) can be determined based on actual needs.

[0056] In some embodiments, for the environmental parameters of the drying room, temperature and humidity sensors are arranged in a 5m×5m grid inside the drying room to collect the ambient temperature and relative humidity of each area; wind speed sensors are arranged at the hot air circulation outlets to collect the real-time wind speed of each outlet; CO2 concentration sensors are arranged inside the drying room to collect the real-time indoor CO2 concentration; airflow velocity in each area is collected by airflow field sensors, and then the average temperature and average CO2 concentration of the drying room are obtained by weighted averaging and other calculation methods.

[0057] In some embodiments, for the basic property parameters of the billet, the inherent property information of a single batch of billets is entered into the relevant system in advance, including the thermal conductivity of the billet material, the target moisture content of the billet, the maximum allowable volumetric deformation of the billet, the initial moisture content of the billet, the density of the billet material, and the thickness of key parts of the billet.

[0058] During the data collection process, the 3σ criterion was used to remove outlier data, and the missing data was filled in using the time series-based ARIMA (1,1,1) model. The different dimensional parameters were mapped to the [0,1] interval through data standardization, and finally a standardized multidimensional dataset was formed.

[0059] S102. Based on the green body state parameters, the drying chamber environment parameters, and the green body basic attribute parameters, determine the drying characteristic parameters.

[0060] In some embodiments, the drying characteristic parameters can be calculated using the following formula:

[0061] in, This represents the drying characteristic parameters of the i-th billet at time t. The value range is 0-1. =0 indicates that the billet is in its initial undried state. =1 indicates that the billet has reached the target moisture content and the deformation is less than the standard deformation, that is, the billet has completed drying; α represents the moisture content weighting coefficient. This represents the average moisture content of the i-th billet at time t. Indicates the target moisture content of the billet. This represents the initial moisture content of the i-th billet; This represents the deformation weighting coefficient. This represents the real-time volumetric deformation of the i-th billet at time t. This indicates the maximum allowable volumetric deformation of the billet; This represents the weighting coefficient for moisture content uniformity, j represents the sensor monitoring location number, and M represents the number of monitoring points per billet. This represents the real-time moisture content of the i-th billet at the j-th monitoring point at time t; This represents the temperature difference weighting coefficient. This represents the ambient temperature of the region where the billet is located at time t. This represents the surface temperature of the i-th blank at time t. Indicates the thermal conductivity of the blank material; This represents the temperature correction factor. This represents the average temperature of the drying room at time t. Indicates the reference temperature for drying the billet. This represents the CO2 concentration correction factor. This represents the average CO2 concentration in the drying room at time t. This indicates the baseline CO2 concentration inside the drying chamber.

[0062] Traditional drying chamber control methods rely solely on a subset of environmental temperature and humidity parameters, failing to integrate data related to the green body's own state and inherent properties. This results in an inability to comprehensively reflect the drying process, stress state, heat transfer efficiency, and mold risk of the green body, and also makes it difficult to reflect the drying differences between different green bodies or different areas within the same drying chamber. The various input parameters have different dimensions and units, lacking a unified evaluation standard, leading to a lack of comprehensive and consistent reference for control actions. This, in turn, causes problems such as unstable drying quality, low efficiency, and energy waste. Therefore, it is necessary to calculate drying characteristic parameters to transform multi-dimensional, heterogeneous, and scattered data into a single, quantifiable comprehensive indicator, establishing a correlation between the actual state of the green body and the control parameters, and providing a unified reference for subsequent precise control.

[0063] The weighting coefficients and other parameters mentioned in this application can be determined by orthogonal experiments combined with multiple linear regression fitting. The core evaluation indicators are no cracking of the billet, deformation ≤0.3mm³, and moisture content uniformity deviation ≤1%. Experimental groups are first divided based on the billet properties (material density, thermal conductivity, thickness, structural complexity) and drying stages (initial, middle, and final stages). Then, the variable levels are set in combination with the environmental characteristics of the drying chamber (temperature range, humidity level, CO2 concentration range). After clarifying the influence weight of each factor on the drying effect through range analysis, the initial coefficients are fitted. Finally, the values ​​are iteratively calibrated through multiple batches of actual production data. The range of values ​​is optimized according to the matching degree (≥90%) between the drying characteristic parameters and the actual state of the billet under different working conditions, forming a differentiated parameter system that adapts to different billet types and drying scenarios.

[0064] In this embodiment, the drying characteristic parameters integrate multiple factors such as the moisture state of the billet, structural stability, drying uniformity, heat transfer efficiency, and environmental influences. This avoids the one-sidedness of evaluating a single parameter and can objectively and comprehensively reflect the drying state of the billet at a specific moment. The drying characteristic parameters transform scattered multi-dimensional data into standardized indicators, providing a clear reference for calculating the overall target temperature, target relative humidity, and target wind speed. This ensures that the setting of control parameters is adapted to the actual drying needs of the billet, reducing the blindness of control. By calculating the drying characteristic parameters of a single billet and billets in different regions, the drying differences between different billets and different regions can be clearly identified. This provides data support for differentiated wind speed control at each air outlet and dynamic adjustment of overall temperature and humidity, solving the resource allocation imbalance problem caused by traditional uniform air supply and fixed parameter control. The formula incorporates correction terms such as ambient temperature and CO2 concentration, allowing the drying characteristic parameters to dynamically adjust with environmental changes. This makes the judgment of the billet's drying state more consistent with actual drying patterns, thereby making subsequent control actions more targeted and reducing problems such as cracking and mold growth caused by a disconnect between the environment and the billet's state. Dynamic calculation of drying characteristic parameters enables the control process to respond to real-time changes in the state of the green body and the environment, replacing the traditional static fixed parameter control. This promotes a dynamic cycle of data acquisition, characteristic calculation, and parameter control in the drying chamber, improving drying efficiency, reducing energy consumption, and ensuring reliable operation of subsequent glazing and firing processes.

[0065] S103. Calculate the overall target temperature, target relative humidity, and target air velocity at the air outlet based on the drying characteristic parameters of the sanitary ceramic blank.

[0066] The drying characteristic parameters are derived by integrating the billet state parameters (moisture content, volumetric deformation, etc.), drying chamber environmental parameters (temperature, CO2 concentration, etc.), and basic billet properties (thermal conductivity, maximum allowable deformation, etc.). These parameters are calculated using the weighted average of the above formulas and combined with environmental correction terms. This comprehensive approach reflects the drying process, structural stability, heat transfer efficiency, and environmental influences of the billet at a specific moment. Traditional control methods rely solely on single environmental temperature and humidity parameters, failing to consider both the billet's own state changes and regional differences in drying requirements, leading to a disconnect between the control parameters and the actual drying needs of the billet. The drying characteristic parameters, however, overcome the limitations of single parameters, comprehensively presenting the true state of billet drying. Based on these parameters, the overall target temperature, target relative humidity, and target air velocity at the outlet can be calculated, ensuring that the control direction corresponds to the dynamic drying state of the billet and avoiding the rigidity of traditional static fixed parameters.

[0067] In this embodiment, the overall target temperature is calculated using drying characteristic parameters. This allows the overall target temperature to be set responsive to fluctuations in the green body's moisture content, volume deformation, ambient temperature, and CO2 concentration. This avoids green body cracking and surface crust formation caused by excessively high temperatures, or stagnant moisture evaporation and mold growth caused by excessively low temperatures, thus ensuring the stability of the green body structure. Specifically, it can be calculated using the following formula:

[0068] in, This represents the overall target temperature of the drying room at time t. Indicates the reference temperature for drying the billet. This represents the average drying characteristic parameter of all billets at time t. This represents the temperature adjustment coefficient for moisture content deviation. This represents the average moisture content of all billets at time t. Indicates the target moisture content of the billet. This represents the temperature adjustment coefficient for deformation. This represents the average volumetric deformation of all billets at time t. This indicates the maximum allowable volumetric deformation of the billet; This represents the temperature difference temperature adjustment coefficient. This represents the average temperature difference between the billet and the environment at time t. This indicates the thermal conductivity of the billet material. This represents the temperature adjustment coefficient for CO2 concentration. This represents the average CO2 concentration in the drying room at time t. This indicates the baseline CO2 concentration inside the drying chamber.

[0069] In this embodiment, the target relative humidity is calculated using drying characteristic parameters, ensuring a negative correlation between the target relative humidity and the overall target temperature. This also adapts to the rate of change in the billet's moisture content and the trend of surface temperature changes, preventing excessively high humidity from prolonging the drying cycle or excessively low humidity from causing rapid evaporation of surface moisture, thus improving the uniformity of billet drying. Specifically, it can be calculated using the following formula:

[0070] in, This represents the overall target relative humidity of the drying room at time t. This represents the overall target temperature of the drying room at time t. Indicates the reference temperature for drying the billet. Indicates the rate of change of moisture content and humidity adjustment coefficient. This represents the average moisture content of all billets at time t. express The average moisture content of all billets at that time. Indicates the data collection time interval. This represents the rate of change of the billet temperature and the humidity adjustment coefficient. This represents the average surface temperature of all blanks at time t. express The average surface temperature of all blanks at any given time.

[0071] In this embodiment, the target wind speed is calculated using drying characteristic parameters, ensuring that the target wind speed at the outlet matches the differences in drying requirements, thickness distribution, and airflow uniformity of the billet in different areas. This directs hot air resources towards areas with lagging drying, reducing local under-drying or over-drying and minimizing unnecessary energy consumption. Specifically, the target wind speed is calculated as follows:

[0072] in, This represents the target wind speed at the q-th air outlet at time t. Indicates the reference wind speed at the air outlet. This represents the average drying characteristic parameter of the billet within the region corresponding to the q-th air outlet at time t. This represents the average drying characteristic parameters of all billets at time t. The wind speed adjustment coefficient indicates the regional drying demand. This represents the maximum thickness of the blank within the area corresponding to the q-th air outlet. This represents the average thickness of all blanks. This represents the wind speed regulation coefficient for airflow homogenization. This indicates the reference airflow velocity inside the drying chamber. It represents the average airflow velocity in the area corresponding to the q-th air outlet at time t.

[0073] In this embodiment, by adapting the three types of target control parameters to the actual drying state of the green body, the fluctuation range of the moisture content of the green body after drying is reduced, providing a green body in a consistent state for subsequent glazing and firing processes, reducing the defect rate of subsequent processes, and optimizing the reliability of the overall production process.

[0074] S104. Control the average temperature in the drying room to approach the overall target temperature, the average humidity in the drying room to approach the target relative humidity, and the air outlet speed of the drying room to approach the target air speed.

[0075] Traditional drying chamber control relies mainly on static regulation of fixed parameters. Temperature and humidity regulation lack dynamic response capabilities, and the wind speed remains constant. This makes it impossible to adapt to changes in the state of the billet during the drying process (such as decrease in moisture content and volume deformation) and differences in regional drying needs. As a result, the temperature, humidity, and airflow distribution in the drying chamber become disconnected from the actual drying needs of the billet, leading to problems such as billet cracking, uneven drying, excessively long drying cycles, and energy waste.

[0076] In this application, the overall target temperature, target relative humidity, and target air outlet velocity are dynamically calculated based on multi-dimensional data of the billet and drying characteristic parameters. This objectively reflects the drying requirements, structural stability, and environmental adaptability of the billet at a specific moment. Therefore, controlling the average temperature, average humidity, and air outlet velocity within the drying chamber to approach the corresponding target values ​​essentially involves dynamically adjusting the control parameters to adapt the drying conditions within the drying chamber to the real-time drying state of the billet and regional differences in demand. This overcomes the rigidity of traditional static control, resolves various imbalances during the drying process, and improves the reliability of the production process.

[0077] After determining the overall target temperature, the average temperature inside the drying chamber can be controlled to approach the overall target temperature. Specifically, the process of controlling the average temperature inside the drying chamber to approach the overall target temperature includes:

[0078] in, This represents the control quantity of the heating system at time t. This represents the proportionality coefficient. This represents the temperature deviation at time t. Represents the integral coefficient. This represents the integral term, the cumulative value of the temperature deviation from time 0 to time t. Represents the integral variable. Denotes the differential coefficient. Indicates the rate of change of temperature deviation. Represents the fuzzy control coefficient. Represents a symbolic function. When the time is positive, output 1. When the value is negative, output -1. This represents the change in temperature deviation at time t.

[0079] In some embodiments, the fuzzy control system can be determined in the following ways:

[0080] This represents the fuzzy control baseline coefficient, for example, its value range is 0.1~0.3; Indicates the collaborative weights of PID parameters; This represents the correction factor for the drying stage; This represents the coefficient indicating the trend of temperature deviation.

[0081] in, It can be determined in the following ways:

[0082] This represents the rated maximum value of the proportional coefficient of the PID controller. This represents the rated maximum value of the integral coefficient of the PID controller. This represents the rated maximum value of the derivative coefficients of the PID controller; these values ​​are determined by the hardware parameters of the drying chamber heating system.

[0083] The following is an introduction The rule for determining the value is as follows: in the initial stage, for example, when the moisture content is greater than or equal to 15%, =2, when the moisture content is greater than 5% and less than 15%. =1, when the moisture content is greater than or equal to 5%. =0.5. Wherein, the above... The possible values ​​are merely illustrative examples.

[0084] in, It can be determined in the following ways:

[0085] This is expressed as the change in temperature deviation at time t. This indicates the maximum permissible temperature deviation, which could be, for example, 1 degree Celsius, and can be specifically determined by the billet drying process.

[0086] In this embodiment, a composite algorithm combining proportional, integral, derivative and fuzzy control is used to adjust the control quantity of the heating system. This can quickly respond to temperature deviations, eliminate steady-state temperature errors, predict temperature change trends, avoid temperature overshoot or lag, and make the average temperature of the drying chamber approach the overall target temperature in a short time. This reduces the occurrence of surface hardening and cracking of the billet caused by excessively high temperatures, or mold growth and stagnation of moisture evaporation caused by excessively low temperatures, thus ensuring the stability of the billet structure.

[0087] After determining the target relative humidity, the average humidity inside the drying chamber can be controlled to approach the target relative humidity. Specifically, the process of controlling the average humidity inside the drying chamber to approach the target relative humidity includes:

[0088] in, This represents the humidity control level at time t. Indicates the humidity regulation coefficient. This represents the average relative humidity at time t. This represents the overall target relative humidity of the drying room at time t. Indicates the volume of the drying room. Indicates air density, This indicates the specific heat capacity of air at constant pressure.

[0089] In this embodiment, the humidity control amount is calculated using the above formula, and a segmented control strategy is adopted to start the dehumidification or humidification system, so that the average relative humidity of the drying room is accurately close to the target relative humidity, avoiding the extension of the drying cycle caused by excessive humidity, or the excessive evaporation of moisture on the surface of the blank caused by excessively low humidity, ensuring that the moisture evaporation rate of the blank is adapted to its own tolerance, and improving the uniformity of drying.

[0090] After determining the target wind speed, the air outlet speed of the drying chamber can be controlled to approach the target wind speed. Specifically, the process of controlling the air outlet speed of the drying chamber to approach the target wind speed includes:

[0091] in, This represents the target rotational speed of the q-th fan at time t. Indicates the reference speed of the fan. This represents the target wind speed at the q-th air outlet at time t. Indicates the reference wind speed at the air outlet. Indicates the current correction factor. This represents the real-time operating current of the q-th fan at time t. This indicates the reference operating current of the wind turbine.

[0092] In this embodiment, by adjusting the speed of the variable frequency fan, the air velocity at each air outlet is made close to the target air velocity, thereby achieving regional differentiated airflow distribution. This directs hot air resources toward areas with delayed drying, thicker blanks, or insufficient airflow, reducing the coexistence of local under-drying and over-drying, while avoiding energy waste caused by uniform air delivery and improving hot air utilization efficiency.

[0093] The coordinated control of these three types of parameters forms a dynamic closed loop, which can adapt to fluctuations in the initial state of different batches of green bodies and changes in the external environment (such as seasonal temperature and humidity differences). This eliminates the need for frequent manual parameter adjustments, reduces reliance on operator experience, and improves production reliability. By continuously adapting drying conditions to the drying needs of the green bodies, the fluctuation range of moisture content in the dried green bodies can be reduced, decreasing defects such as deformation and cracking, shortening the drying cycle, and reducing energy consumption for heating, dehumidification, and fan operation. Simultaneously, it provides green bodies in a consistent state for subsequent glazing and firing processes, reducing the defect rate in later processes and optimizing overall production reliability.

[0094] Based on the above description, the control method provided in this application collects multi-dimensional data on the state of the green body, the environment of the drying chamber, and the basic properties of the green body. First, based on this data, it determines the drying characteristic parameters that can comprehensively reflect the drying state of the green body. Then, it dynamically calculates the overall target temperature, target relative humidity, and target air velocity at the air outlet. Finally, it drives the relevant system to make the temperature, humidity, and air velocity of the drying chamber approach the target values. By collecting multi-dimensional data, it makes up for the limitations of traditional perception. The dynamic control based on the drying characteristic parameters breaks the rigid logic of fixed parameters. The differentiated air velocity distribution optimizes energy utilization, thereby specifically solving the problems of the traditional mode. Ultimately, it achieves the effects of improved stability of green body drying quality, shortened drying cycle, reduced moisture content fluctuation range, and reduced energy consumption. At the same time, it provides a stable and suitable green body for subsequent glazing and firing processes, improving the reliability of the entire production process.

[0095] The above text combined Figure 1 The control method for the drying chamber of sanitary ceramic blanks provided in the embodiments of this application has been described in detail. The apparatus and equipment provided in the embodiments of this application will be described below with reference to the accompanying drawings.

[0096] like Figure 2 As shown in the figure, this is a schematic diagram of a control device for a sanitary ceramic blank drying chamber provided in an embodiment of this application. The device includes: The acquisition module 201 is used to acquire multi-dimensional data in the drying room, including billet state parameters, drying room environmental parameters, and billet basic attribute parameters. The determining module 202 is used to determine drying characteristic parameters based on the billet state parameters, the drying chamber environment parameters, and the billet basic attribute parameters; Calculation module 203 is used to calculate the overall target temperature, target relative humidity and target air velocity at the air outlet based on the drying characteristic parameters of the sanitary ceramic blank. The control module 204 is used to control the average temperature in the drying chamber to approach the overall target temperature, the average humidity in the drying chamber to approach the target relative humidity, and the air outlet speed of the drying chamber to approach the target air speed.

[0097] In some possible implementations, the billet state parameters include: the average moisture content of the billet, the real-time volumetric deformation of the billet, and the real-time moisture content of the billet; the drying chamber environmental parameters include: the ambient temperature of the area where the billet is located, the surface temperature of the billet, the average temperature of the drying chamber, the drying reference temperature of the billet, the average CO2 concentration of the drying chamber, and the CO2 reference concentration inside the drying chamber; the billet basic property parameters include: the thermal conductivity of the billet material, the target moisture content of the billet, the maximum allowable volumetric deformation of the billet, and the initial moisture content of the billet; the determining module 202 is specifically used to determine the drying characteristic parameters using the following formula:

[0098] in, This represents the drying characteristic parameters of the i-th billet at time t; α represents the moisture content weighting coefficient. This represents the average moisture content of the i-th billet at time t. Indicates the target moisture content of the billet. This represents the initial moisture content of the i-th billet; This represents the deformation weighting coefficient. This represents the real-time volumetric deformation of the i-th billet at time t. This indicates the maximum allowable volumetric deformation of the billet; This represents the weighting coefficient for moisture content uniformity, j represents the sensor monitoring location number, and M represents the number of monitoring points per billet. This represents the real-time moisture content of the i-th billet at the j-th monitoring point at time t; This represents the temperature difference weighting coefficient. This represents the ambient temperature of the region where the billet is located at time t. This represents the surface temperature of the i-th blank at time t. Indicates the thermal conductivity of the blank material; This represents the temperature correction factor. This represents the average temperature of the drying room at time t. Indicates the reference temperature for drying the billet. This represents the CO2 concentration correction factor. This represents the average CO2 concentration in the drying room at time t. This indicates the baseline CO2 concentration inside the drying chamber.

[0099] In some possible implementations, the calculation module 203 is specifically used to calculate the overall target temperature in the following ways:

[0100] in, This represents the overall target temperature of the drying room at time t. Indicates the reference temperature for drying the billet. This represents the average drying characteristic parameter of all billets at time t. This represents the temperature adjustment coefficient for moisture content deviation. This represents the average moisture content of all billets at time t. Indicates the target moisture content of the billet. This represents the temperature adjustment coefficient for deformation. This represents the average volumetric deformation of all billets at time t. This indicates the maximum allowable volumetric deformation of the billet; This represents the temperature difference temperature adjustment coefficient. This represents the average temperature difference between the billet and the environment at time t. This indicates the thermal conductivity of the billet material. This represents the temperature adjustment coefficient for CO2 concentration. This represents the average CO2 concentration in the drying room at time t. This indicates the baseline CO2 concentration inside the drying chamber.

[0101] In some possible implementations, the calculation module 203 is specifically used to calculate the target relative humidity in the following ways:

[0102] in, This represents the overall target relative humidity of the drying room at time t. This represents the overall target temperature of the drying room at time t. Indicates the reference temperature for drying the billet. Indicates the rate of change of moisture content and humidity adjustment coefficient. This represents the average moisture content of all billets at time t. express The average moisture content of all billets at that time. Indicates the data collection time interval. This represents the rate of change of the billet temperature and the humidity adjustment coefficient. This represents the average surface temperature of all blanks at time t. express The average surface temperature of all blanks at any given time.

[0103] In some possible implementations, the calculation module 203 is specifically used to calculate the target wind speed in the following ways:

[0104] in, This represents the target wind speed at the q-th air outlet at time t. Indicates the reference wind speed at the air outlet. This represents the average drying characteristic parameter of the billet within the region corresponding to the q-th air outlet at time t. This represents the average drying characteristic parameters of all billets at time t. The wind speed adjustment coefficient indicates the regional drying demand. This represents the maximum thickness of the blank within the area corresponding to the q-th air outlet. This represents the average thickness of all blanks. This represents the wind speed regulation coefficient for airflow homogenization. This indicates the reference airflow velocity inside the drying chamber. It represents the average airflow velocity in the area corresponding to the q-th air outlet at time t.

[0105] In some possible implementations, the control module 204 is specifically used to control the average temperature inside the drying chamber to approach the overall target temperature in the following ways:

[0106] in, This represents the control quantity of the heating system at time t. This represents the proportionality coefficient. This represents the temperature deviation at time t. Represents the integral coefficient. This represents the integral term, the cumulative value of the temperature deviation from time 0 to time t. Represents the integral variable. Denotes the differential coefficient. Indicates the rate of change of temperature deviation. Represents the fuzzy control coefficient. Represents a symbolic function. When the time is positive, output 1. When the value is negative, output -1. This represents the change in temperature deviation at time t.

[0107] In some possible implementations, the control module 204 is specifically used to control the average humidity in the drying chamber to approach the target relative humidity in the following ways:

[0108] in, This represents the humidity control level at time t. Indicates the humidity regulation coefficient. This represents the average relative humidity at time t. This represents the overall target relative humidity of the drying room at time t. Indicates the volume of the drying room. Indicates air density, This indicates the specific heat capacity of air at constant pressure.

[0109] In some possible implementations, the control module 204 is specifically used to control the air outlet velocity of the drying chamber to move closer to the target air velocity in the following ways:

[0110] in, This represents the target rotational speed of the q-th fan at time t. Indicates the reference speed of the fan. This represents the target wind speed at the q-th air outlet at time t. Indicates the reference wind speed at the air outlet. Indicates the current correction factor. This represents the real-time operating current of the q-th fan at time t. This indicates the reference operating current of the wind turbine.

[0111] The control device for the drying chamber of sanitary ceramic blanks according to the embodiments of this application can correspond to the execution of the method described in the embodiments of this application, and the other operations and / or functions of each module / unit of the control device for the drying chamber of sanitary ceramic blanks are respectively for realizing Figure 1 For the sake of brevity, the corresponding processes of each method in the illustrated embodiments will not be described in detail here.

[0112] This application also provides a computing device. For example... Figure 3 As shown in the figure, this is a schematic diagram of a computing device provided in an embodiment of this application. The computing device 700 includes a bus 701, a processor 702, a communication interface 703, and a memory 704. The processor 702, the memory 704, and the communication interface 703 communicate with each other via the bus 701.

[0113] The 701 bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0114] The processor 702 can be any one or more of the following processors: central processing unit (CPU), graphics processing unit (GPU), microprocessor (MP), or digital signal processor (DSP).

[0115] The communication interface 703 is used for communication with external devices.

[0116] Memory 704 may include volatile memory, such as random access memory (RAM). Memory 704 may also include non-volatile memory, such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid state drive (SSD).

[0117] The memory 704 stores executable code, and the processor 702 executes the executable code to perform the aforementioned control method for the sanitary ceramic blank drying chamber.

[0118] Specifically, in achieving Figure 2 In the case of the illustrated embodiment, and Figure 2 When the modules or units of the control device for the sanitary ceramic blank drying chamber described in the embodiment are implemented by software, the execution... Figure 2 The software or program code required for the functions of each module / unit can be partially or entirely stored in the memory 704. The processor 702 executes the program code corresponding to each unit stored in the memory 704 to execute the aforementioned control method for the sanitary ceramic blank drying chamber.

[0119] This application also provides a computer-readable storage medium. The computer-readable storage medium can be any available medium capable of being stored by a computing device, or a data storage device such as a data center containing one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive). The computer-readable storage medium includes instructions that instruct the computing device to execute the control method for the sanitary ceramic blank drying chamber described above.

[0120] This application also provides a computer program product comprising one or more computer instructions. When the computer instructions are loaded and executed on a computing device, all or part of the processes or functions described in this application are generated.

[0121] The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, or data center to another website, computer, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means.

[0122] When the computer program product is executed by a computer, the computer executes any of the aforementioned control methods for the sanitary ceramic body drying chamber. The computer program product can be a software installation package; when any of the aforementioned control methods for the sanitary ceramic body drying chamber are required, the computer program product can be downloaded and executed on the computer.

[0123] The descriptions of the processes or structures corresponding to the above figures each have their own emphasis. For parts of a process or structure that are not described in detail, please refer to the relevant descriptions of other processes or structures.

[0124] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be covered within the scope of protection of this application.

Claims

1. A method for controlling the drying chamber of sanitary ceramic blanks, the method comprising: Acquire multi-dimensional data from the drying chamber, including billet state parameters, drying chamber environmental parameters, and billet basic attribute parameters; Based on the billet state parameters, the drying chamber environmental parameters, and the billet basic property parameters, the drying characteristic parameters are determined; Based on the drying characteristic parameters of the sanitary ceramic blank, calculate the overall target temperature, target relative humidity, and target air velocity at the air outlet; The average temperature inside the drying chamber is controlled to approach the overall target temperature, the average humidity inside the drying chamber is controlled to approach the target relative humidity, and the air velocity at the air outlet of the drying chamber is controlled to approach the target air velocity.

2. The method according to claim 1, characterized in that, The billet state parameters include: average moisture content of the billet, real-time volumetric deformation of the billet, and real-time moisture content of the billet; the drying chamber environmental parameters include: ambient temperature of the area where the billet is located, surface temperature of the billet, average temperature of the drying chamber, drying reference temperature of the billet, average CO2 concentration of the drying chamber, and CO2 reference concentration in the drying chamber; the billet basic property parameters include: thermal conductivity of the billet material, target moisture content of the billet, maximum allowable volumetric deformation of the billet, and initial moisture content of the billet; The process of determining drying characteristic parameters based on the billet state parameters, the drying chamber environmental parameters, and the billet basic property parameters includes: in, This represents the drying characteristic parameters of the i-th billet at time t; α represents the moisture content weighting coefficient. This represents the average moisture content of the i-th billet at time t. Indicates the target moisture content of the billet. This represents the initial moisture content of the i-th billet; This represents the deformation weighting coefficient. This represents the real-time volumetric deformation of the i-th billet at time t. This indicates the maximum allowable volumetric deformation of the billet; This represents the weighting coefficient for moisture content uniformity, j represents the sensor monitoring location number, and M represents the number of monitoring points per billet. This represents the real-time moisture content of the i-th billet at the j-th monitoring point at time t; This represents the temperature difference weighting coefficient. This represents the ambient temperature of the region where the billet is located at time t. This represents the surface temperature of the i-th blank at time t. Indicates the thermal conductivity of the blank material; This represents the temperature correction factor. This represents the average temperature of the drying room at time t. Indicates the reference temperature for drying the billet. This represents the CO2 concentration correction factor. This represents the average CO2 concentration in the drying room at time t. This indicates the baseline CO2 concentration inside the drying chamber.

3. The method according to claim 1, characterized in that, The overall target temperature is calculated in the following way: in, This represents the overall target temperature of the drying room at time t. Indicates the reference temperature for drying the billet. This represents the average drying characteristic parameter of all billets at time t. This represents the temperature adjustment coefficient for moisture content deviation. This represents the average moisture content of all billets at time t. Indicates the target moisture content of the billet. This represents the temperature adjustment coefficient for deformation. This represents the average volumetric deformation of all billets at time t. This indicates the maximum allowable volumetric deformation of the billet; This represents the temperature difference temperature adjustment coefficient. This represents the average temperature difference between the billet and the environment at time t. This indicates the thermal conductivity of the blank material. This represents the temperature adjustment coefficient for CO2 concentration. This represents the average CO2 concentration in the drying room at time t. This indicates the baseline CO2 concentration inside the drying chamber.

4. The method according to claim 1, characterized in that, The target relative humidity is calculated in the following way: in, This represents the overall target relative humidity of the drying room at time t. This represents the overall target temperature of the drying room at time t. Indicates the reference temperature for drying the billet. Indicates the rate of change of moisture content and humidity adjustment coefficient. This represents the average moisture content of all billets at time t. express The average moisture content of all billets at that time. Indicates the data collection time interval. This represents the rate of change of the billet temperature and the humidity adjustment coefficient. This represents the average surface temperature of all blanks at time t. express The average surface temperature of all blanks at any given time.

5. The method according to claim 1, characterized in that, The target wind speed is calculated in the following way: in, This represents the target wind speed at the q-th air outlet at time t. Indicates the reference wind speed at the air outlet. This represents the average drying characteristic parameter of the billet within the region corresponding to the q-th air outlet at time t. This represents the average drying characteristic parameters of all billets at time t. The wind speed adjustment coefficient indicates the regional drying demand. This represents the maximum thickness of the blank within the area corresponding to the q-th air outlet. This represents the average thickness of all blanks. This represents the wind speed regulation coefficient for airflow homogenization. This indicates the reference airflow velocity inside the drying chamber. It represents the average airflow velocity in the area corresponding to the q-th air outlet at time t.

6. The method according to claim 1, characterized in that, The process of controlling the average temperature inside the drying chamber to approach the overall target temperature includes: in, This represents the control quantity of the heating system at time t. Represents the proportionality coefficient. This represents the temperature deviation at time t. Represents the integral coefficient. This represents the integral term, the cumulative value of the temperature deviation from time 0 to time t. Represents the integral variable. Represents the differential coefficient. Indicates the rate of change of temperature deviation. Represents the fuzzy control coefficient. Represents a symbolic function. When the time is positive, output 1. When the value is negative, output -1. This represents the change in temperature deviation at time t.

7. The method according to claim 1, characterized in that, The process of controlling the average humidity in the drying room to approach the target relative humidity includes: in, This represents the humidity control amount at time t. Indicates the humidity regulation coefficient. This represents the average relative humidity at time t. This represents the overall target relative humidity of the drying room at time t. Indicates the volume of the drying room. Indicates air density, This indicates the specific heat capacity of air at constant pressure.

8. The method according to claim 1, characterized in that, The process of controlling the air outlet velocity of the drying chamber to approach the target air velocity includes: in, This represents the target rotational speed of the q-th fan at time t. Indicates the reference speed of the fan. This represents the target wind speed at the q-th air outlet at time t. Indicates the reference wind speed at the air outlet. Indicates the current correction factor. This represents the real-time operating current of the q-th fan at time t. This indicates the reference operating current of the wind turbine.

9. A computing device, characterized in that, Including memory and processor; The memory stores one or more computer programs, the one or more computer programs including instructions; when the instructions are executed by the processor, the computing device performs the method as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store a computer program for performing the method as described in any one of claims 1 to 8.

Images