Self-adaptive control method, system and equipment for oxygen concentration of rotary kiln and medium

Abstract

The invention relates to a rotary kiln oxygen concentration self-adaptive control method, system and device and a medium, and belongs to the technical field of activated carbon regeneration. The control method comprises the steps that real-time oxygen concentration data, current oxygen supply input quantity data and real-time process parameters of all kiln sections in a rotary kiln are collected; determining a corresponding target oxygen concentration range according to the process type of each kiln section; acquiring a space range and a boundary condition of each kiln section, constructing a kiln section target oxygen concentration model, comparing the real-time oxygen concentration data, calculating to obtain an oxygen concentration deviation matrix of each kiln section, analyzing the oxygen concentration deviation matrix, and generating a corresponding oxygen supply adjustment demand signal; on the basis of an optimization algorithm, the optimal oxygen supply input quantity is calculated according to the oxygen supply adjustment demand signal and the current oxygen supply input quantity data, and an oxygen supply distribution strategy of each kiln section is obtained; and according to the real-time process parameters, the oxygen supply distribution strategy is corrected, and a partition oxygen supply instruction of each kiln section is generated. According to the invention, the oxygen concentration of different kiln sections in the rotary kiln can be accurately controlled.

Description

Technical Field

[0001] The present application relates to the technical field of activated carbon regeneration, and in particular to a method, system, equipment and medium for self-adapting oxygen concentration control of a rotary kiln. Background Art

[0002] The rotary kiln is a key equipment widely used in the field of industrial high-temperature heat treatment, with the characteristics of continuous operation and stable operation. Its main application scenarios include activated carbon regeneration, high-temperature roasting, material desorption and waste gas treatment. In these processes, the rotary kiln completes the physical or chemical transformation of materials through high-temperature pyrolysis, oxidation or reduction reactions. As an important parameter of reaction conditions, the control of oxygen concentration in the kiln directly affects the reaction efficiency, product quality and system energy consumption.

[0003] Common rotary kilns are long and have complex internal structures. The functions and operating requirements of different process sections (such as preheating section, calcination section, and cooling section) vary greatly, resulting in a certain spatial gradient in the distribution of oxygen concentration in the kiln. Especially in the activated carbon regeneration process, the oxygen concentration in the kiln is a key factor affecting the efficiency of high-temperature reactions and product quality. Too high an oxygen concentration can easily lead to excessive combustion or unnecessary oxygen waste, while too low an oxygen concentration may lead to incomplete combustion or difficulty in maintaining high temperatures. Therefore, how to achieve precise control of the oxygen concentration of different kiln sections in a rotary kiln under dynamic conditions, so as to meet the process requirements of each kiln section and reduce the energy consumption of oxygen supply, is a key issue that needs to be solved urgently. Summary of the invention

[0004] In order to achieve precise control of oxygen concentration in different kiln sections in a rotary kiln, the present application provides a rotary kiln oxygen concentration adaptive control method, system, equipment and medium.

[0005] In a first aspect, the present application provides a rotary kiln oxygen concentration adaptive control method, which adopts the following technical solution: a rotary kiln oxygen concentration adaptive control method, the control method comprising: Collect real-time oxygen concentration data, current oxygen input data and real-time process parameters of each kiln section in the rotary kiln; Determine the corresponding target oxygen concentration range according to the process type of each kiln section; The spatial range and boundary conditions of each kiln section are obtained, and a target oxygen concentration model of the kiln section is constructed in combination with the target oxygen concentration range; based on the target oxygen concentration model of the kiln section, the real-time oxygen concentration data is compared to calculate the oxygen concentration deviation matrix of each kiln section; Analyze the oxygen concentration deviation matrix of each kiln section and generate the corresponding oxygen supply adjustment demand signal; Based on the optimization algorithm, the optimal oxygen supply input is calculated according to the oxygen supply adjustment demand signal and the current oxygen supply input data to obtain the oxygen supply distribution strategy for each kiln section; The oxygen supply distribution strategy is modified according to the real-time process parameters, and a zoned oxygen supply instruction is generated for each kiln section; the zoned oxygen supply instruction is used to control the zoned oxygen supply system to adjust the oxygen input amount of each kiln section in the rotary kiln.

[0006] By adopting the above technical solution, combined with the needs of different process sections in the rotary kiln, the kiln section target oxygen concentration model and real-time oxygen concentration data are used for accurate calculation to achieve optimized distribution and dynamic adjustment of zoned oxygen supply. This application solution can significantly improve the stability and adaptability of rotary kiln oxygen concentration control, thereby improving process efficiency and product quality, while reducing energy consumption, and achieving a dual improvement in economy and process performance.

[0007] Optionally, the calculation formula for calculating the oxygen concentration deviation matrix of each kiln section includes: In the above formula, D ij is the oxygen concentration deviation matrix, C min is the lower limit of the target oxygen concentration range, C max is the upper limit of target oxygen concentration, and R is the real-time oxygen concentration value.

[0008] Optionally, the step of analyzing the oxygen concentration deviation matrix of each kiln section and generating a corresponding oxygen supply adjustment demand signal includes: Deviation amplitude analysis is performed based on the oxygen concentration deviation matrix for each kiln section; Determine whether the deviation amplitude of each kiln section exceeds a preset amplitude range respectively; if it does not exceed the amplitude range, determine the deviation amplitude of the next kiln section; if it exceeds the amplitude range, obtain the historical deviation data sequence of the kiln section; Calculate the corresponding deviation change rate according to the historical deviation data sequence; Determining whether the deviation fluctuation type of the kiln section is continuous fluctuation according to the deviation change rate; If so, a corresponding oxygen supply adjustment demand signal is generated according to the oxygen concentration deviation matrix of the kiln section; if not, an instantaneous fluctuation prompt is generated and sent to the management terminal.

[0009] By adopting the above technical solution, accurate analysis of oxygen concentration deviation and intelligent oxygen supply adjustment signal generation are achieved. Abnormal kiln sections can be quickly screened out through deviation amplitude analysis. Subsequently, combined with deviation change rate calculation and fluctuation type judgment, continuous abnormalities and instantaneous fluctuations can be effectively distinguished to ensure that the adjustment strategy is more targeted and accurate. In addition, the system can generate prompt information based on instantaneous fluctuations, thereby reducing unnecessary adjustment operations.

[0010] Optionally, based on the optimization algorithm, according to the oxygen supply adjustment demand signal and the current oxygen supply input data, the optimal oxygen supply input is calculated to obtain the oxygen supply distribution strategy for each kiln section, including: With the goal of minimizing oxygen concentration deviation and oxygen supply power consumption, an objective function is constructed and constraints are set; Calculate the preliminary oxygen input quantity for each kiln section based on the oxygen supply adjustment demand signal and the current oxygen input quantity data; Prioritize each kiln section according to the preset weight, and give priority to meeting the oxygen supply needs of high-priority kiln sections; Based on the dynamic programming algorithm, the initial oxygen input of each kiln section is gradually adjusted through iterative calculation and the corresponding objective function is calculated until the objective function converges or reaches the preset accuracy requirement, and the optimal oxygen input of each kiln section after optimization is obtained; The oxygen supply distribution strategy is generated according to the optimized optimal oxygen input of each kiln section.

[0011] By adopting the above technical solutions, with the goal of minimizing oxygen concentration deviation and oxygen power consumption, combined with the dynamic programming algorithm to optimize the oxygen distribution strategy, accurate control of oxygen supply in each kiln section of the rotary kiln is achieved. Based on the sorting mechanism of priority weights, the process requirements of key kiln sections are given priority, and the oxygen supply is dynamically iterated and adjusted under complex constraints to ensure the efficient use of the system's oxygen supply capacity. The final generated partitioned oxygen supply strategy takes into account both oxygen supply accuracy and energy consumption optimization, effectively improving the operating efficiency, resource utilization and stability of oxygen concentration control of the rotary kiln, adapting to complex working conditions, and providing reliable technical support for the efficient operation of industrial automation.

[0012] Optionally, the objective function J constructed includes: In the above formula, D i is the oxygen concentration deviation of kiln section i, Q i is the oxygen input of kiln section i, w i is the priority weight of kiln section i, and λ is the power consumption coefficient.

[0013] In a second aspect, the present application provides a rotary kiln oxygen concentration adaptive control system, which adopts the following technical solution: a rotary kiln oxygen concentration adaptive control system, the control system comprising: The acquisition module is used to collect the real-time oxygen concentration data, current oxygen input data and real-time process parameters of each kiln section in the rotary kiln; An oxygen concentration range determination module is used to determine the corresponding target oxygen concentration range according to the process type of each kiln section; A model building module, used to obtain the spatial range and boundary conditions of each kiln section, and to build a kiln section target oxygen concentration model in combination with the target oxygen concentration range; An oxygen concentration deviation calculation module is used to compare the real-time oxygen concentration data based on the kiln section target oxygen concentration model to calculate the oxygen concentration deviation matrix of each kiln section; The oxygen supply adjustment demand determination module is used to analyze the oxygen concentration deviation matrix of each kiln section and generate a corresponding oxygen supply adjustment demand signal; An oxygen supply optimization allocation module is used to calculate the optimal oxygen supply input based on the optimization algorithm according to the oxygen supply adjustment demand signal and the current oxygen supply input data, and obtain the oxygen supply allocation strategy for each kiln section; An oxygen supply strategy correction module, used to correct the oxygen supply allocation strategy according to the real-time process parameters; The zoned oxygen supply control module is used to generate a zoned oxygen supply instruction for each kiln section according to the oxygen supply distribution strategy; the zoned oxygen supply instruction is used to control the zoned oxygen supply system to adjust the oxygen input amount of each kiln section in the rotary kiln.

[0014] Optionally, the oxygen supply adjustment demand determination module includes: Deviation amplitude analysis module, used to perform deviation amplitude analysis based on the oxygen concentration deviation matrix of each kiln section; The first judgment module is used to judge whether the deviation amplitude of each kiln section exceeds a preset amplitude range. If it does not exceed the amplitude range, the deviation amplitude of the next kiln section is judged; if it exceeds the amplitude range, the first judgment result is output; a historical deviation data acquisition module, used for acquiring a historical deviation data sequence of the kiln section in response to the first judgment result; a deviation change rate calculation module, used for calculating a corresponding deviation change rate according to the historical deviation data sequence; A second judgment module is used to judge whether the deviation fluctuation type of the kiln section is continuous fluctuation according to the deviation change rate, and if so, output a second judgment result; if not, output a third judgment result; an oxygen supply adjustment prompt module, configured to generate a corresponding oxygen supply adjustment demand signal according to the oxygen concentration deviation matrix of the kiln section in response to the second judgment result; The instantaneous fluctuation prompt module is used to generate an instantaneous fluctuation prompt in response to the third judgment result and send it to the management terminal.

[0015] In a third aspect, the present application provides a computer device, which adopts the following technical solution: A computer device comprises a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method as described in the first aspect.

[0016] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any one of the methods in the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a first flow chart of a method for adaptively controlling oxygen concentration in a rotary kiln according to one of the embodiments of the present application.

[0018] Figure 2 It is a second flow chart of a method for adaptively controlling oxygen concentration in a rotary kiln according to one of the embodiments of the present application.

[0019] Figure 3 It is a third flow chart of a method for adaptively controlling oxygen concentration in a rotary kiln according to one of the embodiments of the present application. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-3 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0021] The embodiment of the present application discloses a method for adaptively controlling oxygen concentration in a rotary kiln.

[0022] Reference Figure 1 , a rotary kiln oxygen concentration adaptive control method, the control method comprises, Step S101, collecting real-time oxygen concentration data, current oxygen input data and real-time process parameters of each kiln section in the rotary kiln; Specifically, distributed oxygen concentration sensors are arranged in each kiln section to monitor the oxygen concentration in each area in real time. The sensors are designed to be high temperature and corrosion resistant and are connected to a wireless data transmission module to transmit real-time oxygen concentration data to the control center. At the same time, the oxygen supply system is equipped with a flow meter and a regulating valve. The oxygen supply of each kiln section can be accurately recorded and linked to the control signal. The kiln body speed, feed rate and other process parameters are collected through the equipped sensors as input for subsequent optimization calculations.

[0023] It can be understood that real-time process parameters, including kiln rotation speed and feed rate, provide constraints for dynamic optimization and help improve the system's adaptability to changes in operating conditions.

[0024] Step S102, determining a corresponding target oxygen concentration range according to the process type of each kiln section; Among them, the target oxygen concentration range of each kiln section is preset based on the process requirements, and the kiln section can be divided into a preheating section, a calcining section and a cooling section according to the process requirements. For example, the target oxygen concentration range of the preheating section can be set to 0.5%-1.0% according to the preheating requirements of the material to avoid premature combustion; the target oxygen concentration range of the calcining section can be set to 1.0%-3.0% according to the high-temperature desorption requirements to ensure the high-temperature desorption efficiency of the activated carbon; the target oxygen concentration range of the cooling section can be set to 0.3%-0.8% according to the material cooling requirements to avoid oxidation reactions and overcooling.

[0025] Step S103, obtaining the spatial range and boundary conditions of each kiln section, and building a kiln section target oxygen concentration model in combination with the target oxygen concentration range; Among them, the spatial range is the starting and ending position of each kiln section, as well as the corresponding length range, which is used to determine the physical boundary of each kiln section in the rotary kiln in the model, divide the kiln section and associate the target oxygen concentration range. Boundary conditions such as the residence time of the material in each kiln section determine the reaction process and oxygen concentration requirements according to the residence time of the material in the kiln section. For example, a shorter residence time may require a higher oxygen concentration to accelerate the reaction; boundary conditions also include the temperature distribution in the kiln section. Since oxygen participates in the reaction at a higher rate under high temperature conditions, the oxygen concentration range is directly related to the temperature.

[0026] Specifically, a mathematical model is formed by utilizing the spatial range of the kiln section (determined by the section length and position), the target oxygen concentration range and the boundary conditions of each kiln section (such as the temperature distribution of the kiln section and the material passing time). This model can dynamically set and adjust the target oxygen concentration range according to the process requirements of each kiln section in the rotary kiln, and determine in real time whether the current oxygen concentration meets the standard.

[0027] Step S104, based on the kiln section target oxygen concentration model, the real-time oxygen concentration data is compared to calculate the oxygen concentration deviation matrix of each kiln section; In one embodiment of the present application, the calculation formula for calculating the oxygen concentration deviation matrix of each kiln section includes: In the above formula, D ij is the oxygen concentration deviation matrix, C min is the lower limit of the target oxygen concentration range, C max is the upper limit of target oxygen concentration, and R is the real-time oxygen concentration value.

[0028] Among them, the oxygen concentration deviation matrix D ij It is used to reflect the oxygen concentration deviation of kiln section i at time point j in real time, including the deviation direction and amplitude; D>0 means that the oxygen concentration is higher than the target value, D<0 means that the oxygen concentration is lower than the target value, and D=0 means that the oxygen concentration is normal and the deviation is 0.

[0029] It can be understood that by calculating the deviation matrix of each kiln section, the deviation of the oxygen concentration in each kiln section can be reflected in real time, including the deviation direction (higher or lower than the target value) and the deviation amplitude, providing a quantitative basis for oxygen supply adjustment, so that the control strategy is based on real-time differences rather than a single fixed value, thereby improving the accuracy of the adjustment.

[0030] Step S105, analyzing the oxygen concentration deviation matrix of each kiln section and generating a corresponding oxygen supply adjustment demand signal; In some embodiments, the deviation matrix analysis method may include amplitude analysis and trend analysis. For example, if the deviation exceeds the allowable range, an oxygen supply adjustment demand signal is generated to indicate the need to increase or decrease the oxygen supply; trend analysis, for example, combines historical deviation data to determine whether the oxygen concentration deviation is an instantaneous fluctuation or a continuous abnormality.

[0031] Among them, the oxygen supply adjustment demand signal includes: target kiln section, adjustment direction (increase / decrease) and adjustment amplitude; for example, if the oxygen concentration target of the calcination section is 2% and the current monitoring value is 1.5%, the system generates a demand signal for increasing oxygen supply with an amplitude of 0.5%.

[0032] Step S106, based on the optimization algorithm, according to the oxygen supply adjustment demand signal and the current oxygen supply input data, the optimal oxygen supply input is calculated to obtain the oxygen supply distribution strategy for each kiln section; Among them, an optimization algorithm (such as dynamic programming or gradient descent) is used to calculate the optimal oxygen input, and the objective function is set to minimize the oxygen concentration deviation to ensure the minimum power consumption of the oxygen supply system. The constraints are set to meet the target oxygen concentration range of the kiln section while not exceeding the capacity of the oxygen supply system. By calculating the optimal oxygen input, the oxygen supply of each kiln section is redistributed to form a zoned oxygen supply strategy.

[0033] For example, if both the calcination section and the preheating section need to increase the oxygen supply, but the system flow is limited to a maximum of 100 units, the demand of the calcination section will be met first, and the preheating section will be slightly adjusted. By providing an economical and efficient oxygen supply distribution plan, the overall resource utilization is optimized.

[0034] Step S107, modifying the oxygen supply distribution strategy according to the real-time process parameters, and generating a zoned oxygen supply instruction for each kiln section; wherein the zoned oxygen supply instruction is used to control the zoned oxygen supply system to adjust the oxygen input amount of each kiln section in the rotary kiln.

[0035] In one of the embodiments of the present application, the corrected zoned oxygen supply instruction includes a specific oxygen supply value, an adjustment rate, and an action time. The adaptability and stability of the zoned oxygen supply are further improved through the strategy correction process, ensuring that the oxygen concentration in the kiln section is always close to the target value.

[0036] The correction process can be combined with real-time process parameters; for example, when the kiln rotation speed increases, the oxygen supply can be increased synchronously to maintain the target oxygen concentration; when the feed rate increases, the oxygen supply can be increased synchronously to adapt to load changes.

[0037] As an implementation method of the zoned oxygen supply system, the zoned oxygen supply system consists of independent oxygen supply channels and adjustment units, which can realize independent control of segmented oxygen supply. The zoned oxygen supply command adjusts the oxygen input of each kiln section through an actuator (such as an electronic valve or a variable frequency fan), ensuring the accurate execution of the oxygen supply system and effectively reducing adjustment delays.

[0038] It is understandable that by combining real-time process parameters, the oxygen supply distribution strategy is dynamically corrected and the partition oxygen supply instructions are generated to ensure that the oxygen supply strategy accurately matches the actual working conditions. The correction process fully considers key process parameters such as kiln speed and feed rate, and clearly adjusts the target through the partition oxygen supply instruction to avoid system fluctuations caused by over-adjustment.

[0039] In the above implementation, the oxygen supply is accurately calculated by combining the requirements of different process sections in the rotary kiln and using the target oxygen concentration model of the kiln section and the real-time oxygen concentration data, so as to realize dynamic optimization and adjustment of the oxygen supply in different zones. The present application scheme can significantly improve the stability and adaptability of the oxygen concentration control of the rotary kiln, thereby improving the process efficiency and product quality, while reducing energy consumption, and achieving a dual improvement in economy and process performance.

[0040] Reference Figure 2 As an implementation method of step S105, the step of analyzing the oxygen concentration deviation matrix of each kiln section and generating a corresponding oxygen supply adjustment demand signal includes: Step S201, performing deviation amplitude analysis based on the oxygen concentration deviation matrix of each kiln section; The preset deviation range is used as the allowable deviation limit. If the deviation does not exceed the preset range, it means that the deviation is within the normal range and no adjustment is required, and the analysis of the next kiln section is performed. If it exceeds the preset range, the kiln section is marked as an object that needs further analysis. For example, assuming that the preset deviation range is [-0.1%, 0.1%], the deviation value D of a kiln section ij =-0.15%, it is beyond the normal range and the kiln section is marked as an object for further analysis.

[0041] It can be understood that by quickly screening out the kiln sections where the oxygen concentration deviation is out of range, unnecessary subsequent calculations and adjustments can be reduced, thereby improving system efficiency.

[0042] Step S202, respectively judging whether the deviation amplitude of each kiln section exceeds the preset amplitude range, if not, returning to step S202 to judge the deviation amplitude of the next kiln section; if exceeding the amplitude range, jumping to step S203; Step S203, obtaining the historical deviation data sequence of the kiln section; Among them, query the historical deviation database of the kiln section, extract data points of n time steps, and form the historical deviation data sequence D of the kiln section i(j-n:j) , that is, the deviation value of the kiln section at the past n time points, is used to analyze the deviation change trend.

[0043] Step S204, calculating the corresponding deviation change rate according to the historical deviation data sequence; Among them, the deviation change rate R change The calculation formula is: In the above formula, Δt is the time step.

[0044] Step S205, judging whether the deviation fluctuation type of the kiln section is continuous fluctuation according to the deviation change rate; if so, jumping to step S206; if not, jumping to step S207; Specifically, according to the deviation change rate R change Determine the deviation trend. If the absolute value of the deviation change rate is less than the preset change rate threshold, it means that the deviation change tends to be stable and is determined to be a continuous fluctuation. If the absolute value of the deviation change rate exceeds the preset change rate threshold, it means that the deviation changes rapidly and is determined to be an instantaneous fluctuation.

[0045] Step S206, generating a corresponding oxygen supply adjustment demand signal according to the oxygen concentration deviation matrix of the kiln section; Step S207, generating an instantaneous fluctuation prompt and sending it to the management terminal.

[0046] Specifically, if the fluctuation is continuous, an oxygen supply adjustment demand signal is generated according to the deviation direction and amplitude, including: target kiln section (current kiln section number), adjustment direction (increase or decrease oxygen supply) and adjustment amplitude (absolute value of deviation | D ij ∣). If it is an instantaneous fluctuation, no adjustment is required, and an instantaneous fluctuation prompt message can be generated and sent to the management terminal for the operator's reference.

[0047] In the above implementation, accurate analysis of oxygen concentration deviation and intelligent oxygen supply adjustment signal generation are achieved. Through deviation amplitude analysis, abnormal kiln sections are quickly screened out; then, combined with deviation change rate calculation and fluctuation type judgment, continuous abnormalities and instantaneous fluctuations are effectively distinguished to ensure that the adjustment strategy is more targeted and accurate. In addition, the system can generate prompt information based on instantaneous fluctuations, thereby reducing unnecessary adjustment operations. This process significantly improves the stability and efficiency of oxygen supply control, and provides a solid guarantee for the precise control of oxygen concentration in kiln sections.

[0048] Reference Figure 3 , as an implementation method of step S106, based on the optimization algorithm, according to the oxygen supply adjustment demand signal and the current oxygen supply input data, the optimal oxygen supply input is calculated to obtain the oxygen supply distribution strategy for each kiln section, including: step S301, with the goal of minimizing the oxygen concentration deviation and oxygen supply power consumption, constructing an objective function, and setting constraints; Specifically, in oxygen supply control, minimizing oxygen concentration deviation is the core goal, ensuring that the oxygen concentration in each kiln section is as close to the target value as possible; at the same time, in order to reduce energy consumption, oxygen supply power consumption also needs to be included as part of the optimization target.

[0049] As for the constraints, they reflect the actual limitations of the system, including oxygen supply capacity limitation, kiln section oxygen concentration range, and kiln section minimum oxygen supply demand; the oxygen supply capacity limitation means that the total oxygen supply cannot exceed the maximum oxygen supply capacity of the system, the kiln section oxygen concentration range means to ensure that the oxygen concentration of each kiln section is maintained within the target range, and the minimum oxygen supply demand means that the oxygen supply of each kiln section shall not be lower than the set minimum value.

[0050] In one embodiment of the present application, the objective function constructed is: In the above formula, D i is the oxygen concentration deviation of kiln section i, Q i is the oxygen input of kiln section i, w i is the priority weight of kiln section i, and λ is the power consumption coefficient, which is used to optimize the weight for balancing the oxygen concentration deviation and oxygen supply power consumption.

[0051] It can be understood that by constructing the objective function, the multi-objective optimization problem (oxygen concentration control and minimization of oxygen supply power consumption) is quantified into a solvable mathematical model, and through constraints, the feasibility of the oxygen supply strategy and its compliance with actual engineering requirements are ensured.

[0052] Step S302, calculating the preliminary oxygen input amount of each kiln section according to the oxygen supply adjustment demand signal and the current oxygen input amount data; Among them, according to the oxygen supply adjustment demand signal of each kiln section (including adjustment direction and adjustment amplitude), the oxygen input of each kiln section is preliminarily adjusted to provide an initial solution for the subsequent optimization steps; in addition, it is necessary to check whether the preliminarily allocated oxygen input meets the system capacity limitation to ensure the basic rationality of the oxygen supply allocation.

[0053] Step S303, prioritizing each kiln section according to the preset weight, and giving priority to satisfying the oxygen supply demand of the kiln section with high priority; Among them, each kiln section has different process requirements and different priorities for oxygen supply; for example, the calcination section has higher requirements for the control accuracy of oxygen concentration, so its oxygen supply demand should be met first. According to the weight w of each kiln section i Sorting is carried out to ensure that the oxygen supply to high priority kiln sections is met first.

[0054] Step S304, based on the dynamic programming algorithm, gradually adjust the initial oxygen input of each kiln section through iterative calculation and calculate the corresponding objective function until the objective function converges or reaches the preset accuracy requirement, and obtain the optimized optimal oxygen input of each kiln section; Among them, the dynamic programming algorithm can be used to solve multi-stage decision-making problems by gradually adjusting variables to optimize the objective function. In the embodiment of the present application, each kiln section can be regarded as a stage, and the oxygen input amount Qi is adjusted each time to gradually approach the optimal value of the objective function.

[0055] Specifically, in each iteration, the specific iteration logic includes: the oxygen supply of the high-priority kiln section is given priority to meet the adjustment demand; if the total oxygen supply exceeds the limit, the oxygen supply of the low-priority kiln section is reduced proportionally; each round of iteration updates the oxygen input Q of the kiln section i and oxygen concentration deviation D i , until the system flow limit is met. Through continuous iterative optimization, the objective function J under the current oxygen supply distribution is calculated, and it is checked whether the objective function J converges or reaches the preset accuracy requirements, and finally the optimized oxygen supply input is output.

[0056] It is understandable that the dynamic programming algorithm can quickly converge to the optimal solution under complex constraints, ensuring the rationality and efficiency of the distribution of the system's oxygen supply. Through iterative optimization, it can continuously balance the demand of high-priority kiln sections and the adjustment of low-priority kiln sections.

[0057] Step S306, generating an oxygen supply distribution strategy according to the optimized optimal oxygen supply input amount of each kiln section.

[0058] Among them, according to the optimization results, a specific oxygen supply distribution strategy is generated for each kiln section. The oxygen supply distribution strategy includes the kiln section number and the optimized optimal oxygen supply to guide the execution of the actual oxygen supply system.

[0059] In the above embodiments, aiming at minimizing the oxygen concentration deviation and oxygen supply power consumption, the oxygen supply distribution strategy is optimized by combining the dynamic programming algorithm, realizing the precise control of oxygen supply for each kiln section in the rotary kiln. Based on the sorting mechanism of priority weights, the process requirements of key kiln sections are preferentially met. At the same time, the oxygen supply amount is dynamically iteratively adjusted under complex constraint conditions to ensure the efficient utilization of the system's oxygen supply capacity. The finally generated zoning oxygen supply strategy takes into account both oxygen supply accuracy and energy consumption optimization, effectively improving the operation efficiency, resource utilization rate and stability of oxygen concentration control of the rotary kiln, adapting to complex working conditions changes, and providing reliable technical support for the efficient operation of industrial automation.

[0060] The embodiment of the present application also discloses a rotary kiln oxygen concentration adaptive control system.

[0061] A rotary kiln oxygen concentration adaptive control system, the control system includes, An acquisition module, configured to acquire real-time oxygen concentration data, current oxygen supply input amount data, and real-time process parameters of each kiln section in the rotary kiln; An oxygen concentration range determination module, configured to determine the corresponding target oxygen concentration range according to the process type of each kiln section; A model construction module, configured to obtain the spatial range and boundary conditions of each kiln section, and construct a kiln section target oxygen concentration model in combination with the target oxygen concentration range; An oxygen concentration deviation calculation module, configured to compare the real-time oxygen concentration data based on the kiln section target oxygen concentration model, and calculate the oxygen concentration deviation matrix of each kiln section; An oxygen supply adjustment requirement determination module, configured to analyze according to the oxygen concentration deviation matrix of each kiln section, and generate a corresponding oxygen supply adjustment requirement signal; An oxygen supply optimization distribution module, configured to calculate the optimal oxygen supply input amount based on the optimization algorithm, according to the oxygen supply adjustment requirement signal and the current oxygen supply input amount data, and obtain the oxygen supply distribution strategy of each kiln section; An oxygen supply strategy correction module, configured to correct the oxygen supply distribution strategy according to the real-time process parameters; A zoning oxygen supply control module, configured to generate a zoning oxygen supply instruction for each kiln section according to the oxygen supply distribution strategy; wherein, the zoning oxygen supply instruction is used to control the zoning oxygen supply system to adjust the oxygen input amount of each kiln section in the rotary kiln.

[0062] In the above implementation, a closed-loop control of the entire process is realized, from real-time data collection, target oxygen concentration modeling, oxygen concentration deviation analysis to oxygen supply optimization distribution and dynamic correction. Each module works together, using optimization algorithms and real-time process parameter adjustments to accurately calculate the optimal oxygen supply distribution strategy and generate partitioned oxygen supply instructions, thereby dynamically adjusting the oxygen input of each kiln section in the rotary kiln. The system effectively improves the accuracy and flexibility of the rotary kiln oxygen concentration control, significantly optimizes the utilization efficiency of oxygen supply resources, reduces system power consumption, and improves the stability of the process in the rotary kiln and the product quality, and has a wide range of industrial practical application value.

[0063] As an implementation of the oxygen supply adjustment demand determination module, the oxygen supply adjustment demand determination module includes: Deviation amplitude analysis module, used to perform deviation amplitude analysis based on the oxygen concentration deviation matrix of each kiln section; The first judgment module is used to judge whether the deviation amplitude of each kiln section exceeds a preset amplitude range. If it does not exceed the amplitude range, the deviation amplitude of the next kiln section is judged; if it exceeds the amplitude range, the first judgment result is output; A historical deviation data acquisition module, used for acquiring a historical deviation data sequence of a kiln section in response to the first judgment result; The deviation change rate calculation module is used to calculate the corresponding deviation change rate according to the historical deviation data sequence; The second judgment module is used to judge whether the deviation fluctuation type of the kiln section is continuous fluctuation according to the deviation change rate, and if so, output a second judgment result; if not, output a third judgment result; An oxygen supply adjustment prompt module, used to generate a corresponding oxygen supply adjustment demand signal according to the oxygen concentration deviation matrix of the kiln section in response to the second judgment result; The instantaneous fluctuation prompt module is used to generate an instantaneous fluctuation prompt in response to the third judgment result and send it to the management terminal.

[0064] In the above implementation, accurate analysis of oxygen concentration deviation and intelligent oxygen supply adjustment signal generation are achieved, and abnormal kiln sections are quickly screened out through deviation amplitude analysis; then, combined with deviation change rate calculation and fluctuation type judgment, continuous abnormalities and instantaneous fluctuations are effectively distinguished, ensuring that the adjustment strategy is more targeted and accurate.

[0065] A rotary kiln oxygen concentration adaptive control system in an embodiment of the present application can implement any of the above-mentioned rotary kiln oxygen concentration adaptive control methods, and the specific working process of each module in the rotary kiln oxygen concentration adaptive control system can refer to the corresponding process in the above-mentioned method embodiment.

[0066] In several embodiments provided in the present application, it should be understood that the provided methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for example, the division of a certain module is only a logical function division, and there can be other division methods in actual implementation. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed.

[0067] The embodiments of the present application also disclose a computer device.

[0068] The computer device includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements a method for adaptive control of the oxygen concentration in a rotary kiln as described above.

[0069] The embodiments of the present application also disclose a computer-readable storage medium.

[0070] The computer-readable storage medium stores a computer program that can be loaded and executed by a processor to implement any one of the methods for adaptive control of the oxygen concentration in a rotary kiln as described above.

[0071] Among them, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, device, or component; the program code contained on the computer-readable medium can be transmitted by any suitable medium, including but not limited to wireless, wire, optical fiber, RF, etc., or any suitable combination of the above.

[0072] It should be noted that in the above embodiments, the descriptions of the respective embodiments have their own focuses. For parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0073] The above are all preferred embodiments of the present application. The protection scope of the present application is not limited thereby. Any feature disclosed in this specification (including the abstract and drawings), unless specifically stated, can be replaced by other equivalent or similar-purpose alternative features. That is, unless specifically stated, each feature is only an example in a series of equivalent or similar features.

Claims

1. A method for adaptively controlling oxygen concentration in a rotary kiln, characterized in that: The control method comprises: Collect real-time oxygen concentration data, current oxygen input data and real-time process parameters of each kiln section in the rotary kiln; Determine the corresponding target oxygen concentration range according to the process type of each kiln section; Obtaining the spatial range and boundary conditions of each kiln section, and building a kiln section target oxygen concentration model in combination with the target oxygen concentration range; Based on the kiln section target oxygen concentration model, the real-time oxygen concentration data is compared to calculate the oxygen concentration deviation matrix of each kiln section; Analyze the oxygen concentration deviation matrix of each kiln section and generate the corresponding oxygen supply adjustment demand signal; Based on the optimization algorithm, the optimal oxygen supply input is calculated according to the oxygen supply adjustment demand signal and the current oxygen supply input data to obtain the oxygen supply distribution strategy for each kiln section; Modifying the oxygen supply distribution strategy according to the real-time process parameters and generating a zoned oxygen supply instruction for each kiln section; The zoned oxygen supply instruction is used to control the zoned oxygen supply system to adjust the oxygen input amount of each kiln section in the rotary kiln.

2. A rotary kiln oxygen concentration adaptive control method according to claim 1, characterized in that: The calculation formula for calculating the oxygen concentration deviation matrix of each kiln section includes: In the above formula, D ij is the oxygen concentration deviation matrix, C min is the lower limit of the target oxygen concentration range, C max is the upper limit of target oxygen concentration, and R is the real-time oxygen concentration value.

3. A rotary kiln oxygen concentration adaptive control method according to claim 2, characterized in that: The steps of analyzing the oxygen concentration deviation matrix of each kiln section and generating a corresponding oxygen supply adjustment demand signal include: Deviation amplitude analysis is performed based on the oxygen concentration deviation matrix for each kiln section; Determine whether the deviation amplitude of each kiln section exceeds a preset amplitude range respectively; if it does not exceed the amplitude range, determine the deviation amplitude of the next kiln section; if it exceeds the amplitude range, obtain the historical deviation data sequence of the kiln section; Calculate the corresponding deviation change rate according to the historical deviation data sequence; Determining whether the deviation fluctuation type of the kiln section is continuous fluctuation according to the deviation change rate; If so, a corresponding oxygen supply adjustment demand signal is generated according to the oxygen concentration deviation matrix of the kiln section; if not, an instantaneous fluctuation prompt is generated and sent to the management terminal.

4. The method for adaptively controlling oxygen concentration in a rotary kiln according to claim 1, characterized in that: Based on the optimization algorithm, according to the oxygen supply adjustment demand signal and the current oxygen supply input data, the optimal oxygen supply input is calculated to obtain the oxygen supply distribution strategy for each kiln section, including the following steps: With the goal of minimizing oxygen concentration deviation and oxygen supply power consumption, an objective function is constructed and constraints are set; Calculating the initial oxygen supply input quantity of each kiln section according to the oxygen supply adjustment demand signal and the current oxygen supply input quantity data; Prioritize each kiln section according to the preset weight, and give priority to meeting the oxygen supply needs of high-priority kiln sections; Based on the dynamic programming algorithm, the initial oxygen input of each kiln section is gradually adjusted through iterative calculation and the corresponding objective function is calculated until the objective function converges or reaches the preset accuracy requirement, and the optimal oxygen input of each kiln section after optimization is obtained; The oxygen supply distribution strategy is generated according to the optimized optimal oxygen input of each kiln section.

5. A rotary kiln oxygen concentration adaptive control method according to claim 4, characterized in that: The objective function J constructed includes: In the above formula, D i is the oxygen concentration deviation of kiln section i, Q i is the oxygen input of kiln section i, w i is the priority weight of kiln section i, and λ is the power consumption coefficient.

6. A rotary kiln oxygen concentration adaptive control system, characterized in that: The control system comprises: The acquisition module is used to collect the real-time oxygen concentration data, current oxygen input data and real-time process parameters of each kiln section in the rotary kiln; An oxygen concentration range determination module is used to determine the corresponding target oxygen concentration range according to the process type of each kiln section; A model building module, used to obtain the spatial range and boundary conditions of each kiln section, and to build a kiln section target oxygen concentration model in combination with the target oxygen concentration range; An oxygen concentration deviation calculation module is used to compare the real-time oxygen concentration data based on the kiln section target oxygen concentration model to calculate the oxygen concentration deviation matrix of each kiln section; The oxygen supply adjustment demand determination module is used to analyze the oxygen concentration deviation matrix of each kiln section and generate a corresponding oxygen supply adjustment demand signal; An oxygen supply optimization allocation module is used to calculate the optimal oxygen supply input based on the optimization algorithm according to the oxygen supply adjustment demand signal and the current oxygen supply input data, and obtain the oxygen supply allocation strategy for each kiln section; An oxygen supply strategy correction module, used to correct the oxygen supply allocation strategy according to the real-time process parameters; A zoned oxygen supply control module, used to generate a zoned oxygen supply instruction for each kiln section according to the oxygen supply distribution strategy; The zoned oxygen supply instruction is used to control the zoned oxygen supply system to adjust the oxygen input amount of each kiln section in the rotary kiln.

7. The rotary kiln oxygen concentration adaptive control system according to claim 6, characterized in that: The oxygen supply adjustment demand determination module comprises: Deviation amplitude analysis module, used to perform deviation amplitude analysis based on the oxygen concentration deviation matrix of each kiln section; The first judgment module is used to judge whether the deviation amplitude of each kiln section exceeds a preset amplitude range. If it does not exceed the amplitude range, the deviation amplitude of the next kiln section is judged; if it exceeds the amplitude range, the first judgment result is output; A historical deviation data acquisition module, used for acquiring a historical deviation data sequence of the kiln section in response to the first judgment result; A deviation change rate calculation module, used to calculate the corresponding deviation change rate according to the historical deviation data sequence; A second judgment module is used to judge whether the deviation fluctuation type of the kiln section is continuous fluctuation according to the deviation change rate, and if so, output a second judgment result; if not, output a third judgment result; an oxygen supply adjustment prompt module, configured to generate a corresponding oxygen supply adjustment demand signal according to the oxygen concentration deviation matrix of the kiln section in response to the second judgment result; The instantaneous fluctuation prompt module is used to generate an instantaneous fluctuation prompt in response to the third judgment result and send it to the management terminal.

8. A computer device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 5 when executing the program.

9. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 5.

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