A rotary kiln cylinder waste heat regulation system and method thereof

Abstract

The application discloses a rotary kiln cylinder waste heat regulation system and method thereof, which comprises an energy collection cover, a heat exchange manifold, a fixing frame and a circulation loop. The system further comprises a heat energy storage module integrated with the energy collection cover, which contains phase change heat storage materials and heat transfer matrix inside; and a predictive optimization engine containing a central processing unit and various sensors. The predictive optimization engine can construct a two-dimensional temperature distribution field of the kiln body, perform predictive feedforward regulation, intelligently switch between multiple operation modes, and perform online health diagnosis. The application solves the technical problems of unstable heat supply, low efficiency and poor reliability in the prior art, and has the advantages of stable and reliable heat supply, efficient and economical operation, and accurate measurement and control.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of industrial waste heat recovery, and in particular to a rotary kiln cylinder waste heat regulation system and method thereof. BACKGROUND

[0002] In the cement, metallurgy, chemical industry and other pillar industries of the national economy, the rotary kiln is an indispensable core thermal equipment. During high-temperature operation, the huge cylinder surface dissipates a large amount of low-grade heat to the surrounding environment through heat conduction, heat convection and heat radiation, etc. The kiln body surface temperature can usually reach above 300°C. This part of the dissipated heat not only is a huge energy waste in the production cost of the enterprise, but also causes thermal pollution of the production workshop and deteriorates the working environment. Therefore, developing an efficient, reliable and intelligent optimization operation capable rotary kiln cylinder surface waste heat recovery technology is of great significance for enterprise energy saving and green production.

[0003] In order to recover this part of waste heat, a common solution in the prior art is to provide a passive heat collecting device on the upper side of the rotary kiln cylinder. This type of device usually includes a metal arc-shaped cover with a pipe for circulating heat exchange fluid (such as water) fixed inside. By making the fluid flow through the pipe, the heat dissipated from the kiln body surface is absorbed, thereby achieving waste heat recovery and providing a feasible physical structure basis for recovering the kiln body surface waste heat.

[0004] However, this type of passive heat collecting system has the following inherent defects in actual application:

[0005] The heat recovery process of the system completely depends on the real-time working condition of the rotary kiln and belongs to a simple passive heat "transportation". When the kiln body temperature fluctuates due to production plan adjustment, the output temperature and heat of the hot water also fluctuate sharply, which is difficult to use as a stable and reliable high-quality heat source.

[0006] The existing system lacks a forward-looking prediction ability and a global optimization regulation mechanism. They cannot predict future changes in heat supply and demand, nor can they dynamically optimize according to actual heat demand, heat storage state or their own operating costs (such as water pump power consumption, time-of-use electricity price, etc.), resulting in the system often being in an inefficient operation range, and the overall energy efficiency needs to be improved.

[0007] The system lacks effective online monitoring and diagnosis means for its own health status (such as whether the circulating pipe is fouled and blocked, whether the heat exchange fluid performance is decreased, etc.). Potential faults cannot be warned and identified in advance, which not only affects the heat exchange efficiency, but also may cause unplanned shutdown and safety hazards.

[0008] The system only has simple instant heat collection function, lacks the ability to store and buffer heat energy, cannot solve the mismatch of time between the heat production peak of the kiln body and the heat use peak of the user, and cannot cope with short-time shutdown and other working conditions, greatly limiting the flexibility of the application scene, therefore, a rotary kiln cylinder waste heat regulation system and method are urgently needed. SUMMARY

[0009] The present application aims to solve the defects in the prior art and provides a rotary kiln cylinder waste heat regulation system and method.

[0010] In order to achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0011] A rotary kiln cylinder waste heat regulation system, comprising: a rotary kiln cylinder; an energy collection cover arranged on the upper side of the rotary kiln cylinder; a plurality of heat exchange manifolds fixed to the inner side of the energy collection cover; a water inlet header and a water outlet header; a fixing frame; and a circulating loop comprising a water pump; the system further comprises: a heat energy storage module, the heat energy storage module comprising a phase change heat storage material arranged in the energy collection cover or heat-coupled with the heat exchange manifolds; and a predictive optimization engine, the predictive optimization engine comprising a central processing unit, at least one sensor for monitoring the operating state of the system, and an actuator connected with the water pump and used for adjusting the flow of the heat exchange fluid, the central processing unit being electrically connected with the sensor and the actuator.

[0012] Further, the heat energy storage module is a sealed phase change medium chamber, the inside of which is provided with a gradient density three-dimensional mesh heat transfer matrix, and the outer side wall plate of the phase change medium chamber is integrally formed into a flexible wall plate with a plurality of annular or spiral grooves, constituting an integrated deformation compensation wall plate.

[0013] Further, the sensor comprises a distributed temperature sensing system integrating a plurality of infrared temperature sensors, the sensor being integrated in a common environmental isolation unit, the inside of the environmental isolation unit having an annular air chamber in communication with a positive pressure air curtain blowing interface, and an annular jet being arranged around an optical window to form a coaxial protective air curtain.

[0014] Further, the system further comprises an optical window monitoring unit, and the central processing unit adaptively adjusts the pressure or duration of the blowing gas according to the optical transmittance measured by the unit.

[0015] Further, the system further comprises a dynamic calibration unit comprising a distance measuring sensor, and the central processing unit is used for compensating and correcting the data collected by the distributed temperature sensing system according to the data of the distance measuring sensor.

[0016] Further, the system further comprises a phase change heat storage state monitoring unit composed of a plurality of implantable temperature probes, and the central processing unit periodically calibrates the heat storage state by analyzing the temperature plateau data and combining the calculation results of the integral instantaneous heat power.

[0017] Another object of the present application is to provide a rotary kiln shell waste heat regulation method, which utilizes the rotary kiln shell waste heat regulation system described above, comprising the steps of: circulating the heat exchange fluid through the heat exchange manifold driven by the water pump to absorb heat; the method further comprises the following steps: collecting the running state data of the system in real time through the sensor and sending it to the central processing unit; the central processing unit calculates the target flow value according to the running state data and the preset control algorithm; the central processing unit adjusts the actual flow of the heat exchange fluid in the circulation loop to the target flow value through the actuator.

[0018] Further, the method uses a hybrid prediction algorithm that combines data-driven and mechanism model or an integrated learning prediction method, and combines the planning parameters of the factory production management system for feedforward regulation to improve the generalization ability and robustness of the model under untrained working conditions.

[0019] Further, the method uses a reinforcement learning algorithm to autonomously learn an optimal control strategy, which dynamically determines the system operating mode and determines the optimal target flow value according to real-time kiln conditions, electricity prices, heat loads, heat storage states, and long-term cumulative return functions containing device health loss factors.

[0020] Further, the method further comprises an intelligent diagnosis step based on multi-source information fusion, which fuses differential pressure flow data, thermal efficiency deviation data, and data from vibration sensors and / or fluid property sensors, and uses a multi-source data fusion algorithm to improve the diagnosis accuracy and reliability of abnormal system states.

[0021] Compared with the prior art, the present application has the following advantages:

[0022] By integrating the gradient density heat transfer matrix and the high-performance phase change heat storage module with integrated flexible wall panels, unstable kiln body waste heat is converted into smooth and continuous heat energy output, effectively achieving "peak load shifting". At the same time, through the intelligent diagnosis function based on multi-source information fusion, the system can predict and alarm potential failures, greatly improving the reliability and safety of long-term operation.

[0023] By introducing feedforward control based on hybrid / integrated prediction models and dynamic multi-objective optimization based on reinforcement learning (which considers device health loss factors), the system can achieve global optimal operation, while meeting the heat demand, minimizing its own energy consumption and equipment wear and tear, and significantly reducing the overall operating cost.

[0024] Through the precise distributed temperature sensing system integrated with coaxial air curtain blowing, online monitoring and self-adaptive adjustment of optical window and dynamic calibration function, the system can overcome the severe interference in the industrial field, obtain accurate and reliable kiln body surface temperature field data, provide a solid foundation for upper optimization control, and realize the change from "extensive" to "fine" of waste heat recovery. BRIEF DESCRIPTION OF DRAWINGS

[0025] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of this specification that illustrates the present application, and together with the description of the application, serve to explain the present application, and do not constitute a limitation of the present application.

[0026] Figure 1 It is a schematic diagram of the overall working principle of the system of the embodiment of the present application;

[0027] Figure 2 It is a control principle block diagram of the predictive optimization engine of the embodiment of the present application;

[0028] Figure 3 It is a side view of the support and sensing assembly of the embodiment of the present application;

[0029] Figure 4 It is a sectional view of the overall structure of the system of the embodiment of the present application;

[0030] Figure 5 It is a partial enlarged sectional view of the basic heat collection and storage assembly of the embodiment of the present application;

[0031] Figure 6 It is a partial sectional view of the thermal energy storage module in the embodiment of the present application;

[0032] Figure 7 It is a structural sectional view and airflow schematic view of the environmental isolation unit in the embodiment of the present application.

[0033] In the figure: 1, energy collection cover; 2, heat exchange manifold; 3, water inlet header; 4, water outlet header; 5, fixing frame; 6, rotary kiln cylinder;

[0034] 20, phase change medium chamber; 21, thermal energy storage module; 22, heat transfer base body; 23, integrated deformation compensation wallboard;

[0035] 30, distributed temperature sensing system; 31, infrared temperature sensor; 32, environmental isolation unit; 33, positive pressure air curtain blowing interface;

[0036] 40, distance measuring sensor;

[0037] 50, temperature probe. DETAILED DESCRIPTION

[0038] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application.

[0039] Embodiment one

[0040] Please refer to Figure 1 , Figure 3 and Figure 4 , the present application provides a rotary kiln cylinder waste heat regulation system, mainly including a basic heat collection and storage assembly, a support and sensing assembly, and a predictive optimization engine as the core of the system.

[0041] With reference to Figure 1 , the system is installed on the upper side of the rotary kiln cylinder 6. The basic heat collection and storage assembly is used to capture and store the waste heat on the surface of the kiln body. The support and sensing assembly is used to fix the heat collection device and provide accurate measurement data for the predictive optimization engine. The entire system is connected to the remote heat terminal (for example, heat exchange station, plant heating, domestic hot water system, etc.) through a circulating loop containing a water pump (not shown in all figures, but included in the circulating loop).

[0042] With reference to Figure 4 and Figure 5 , the basic heat collection and storage assembly specifically includes an energy collection cover 1, which is preferably made of high-temperature-resistant steel plate material. A plurality of heat exchange manifolds 2 for circulating heat exchange fluid are fixed inside the energy collection cover 1, and form parallel or series fluid passages through the water inlet header 3 and the water outlet header 4. In this embodiment, a core innovation is that a thermal energy storage module 21 is integrally arranged on the side of the energy collection cover 1 away from the heat exchange manifold 2. The module is specifically a sealed phase change medium chamber 20, which is filled with phase change thermal storage material (PCM) capable of solid-liquid phase change in a preset temperature range (for example, a phase change material in the range of 250-350℃ according to the kiln body temperature).

[0043] In order to solve the inherent technical problem of low thermal conductivity of phase change thermal storage material, and significantly improve the heat storage / release rate, as Figure 6As shown, the inside of the phase change medium chamber 20 is further filled or implanted with a three-dimensional network structure of heat transfer matrix 22. The heat transfer matrix 22 is preferably a gradient density structure, which has a lower porosity and higher density on the side close to the inner wall of the energy collection cover 1 (i.e. close to the heat source) to achieve rapid absorption and conduction of heat; and has a higher porosity and lower density on the side close to the outer wall of the phase change medium chamber 20 to facilitate sufficient natural convection of the phase change material after liquefaction, thereby realizing the synergistic efficient heat exchange of conduction and convection and constructing an efficient heat conduction network inside the phase change medium chamber 20. The gradient density skeleton can be made of metal foam (such as foamed copper, foamed nickel) by powder metallurgy variable density sintering or using 3D printing technology, or using high thermal conductivity non-metallic materials such as carbon fiber skeleton.

[0044] In addition, considering that the phase change heat storage material will produce significant volume change (usually 5-15%) during the solid-liquid phase change, in order to avoid the fatigue damage of the internal stress to the shell of the phase change medium chamber 20, an integrated deformation compensation wall plate 23 is also provided on the wall plate of the phase change medium chamber 20. As shown, Figure 6 In a preferred embodiment, the integrated deformation compensation wall plate 23 is not an additional independent component, but the outer wall plate of the phase change medium chamber 20 itself is integrally processed into a flexible wall plate with multiple annular or spiral grooves by stamping or hydraulic forming process. When the internal phase change material is heated and melted to expand in volume, the flexible wall plate with pre-set grooves can absorb this part of volume increment by its own elastic deformation, and the stress distribution is more uniform, thereby ensuring the structural stability and long-term operation reliability of the whole module.

[0045] In order to accurately monitor its heat storage state, a plurality of temperature probes 50 at different depths are implanted inside the phase change medium chamber 20, which together constitute a phase change heat storage state monitoring unit.

[0046] Referring to Figure 3 and Figure 4 , the support and sensing assembly is mainly a set of fixing frame 5 which is welded by profile steel to stably fix the heat collecting and storing assembly above the kiln body. The key innovation of the present application lies in the integration and optimization of the sensor. On the crossbeam of the fixing frame 5, a plurality of infrared temperature sensors 31 are arranged along the axis of the kiln body, which together constitute a distributed temperature sensing system 30.

[0047] In order to solve the technical problem of serious interference of a large amount of dust, water vapor and high temperature disturbance gas flow in the rotary kiln operation site to the non-contact infrared temperature measurement, the plurality of infrared temperature sensors 31 in the present embodiment are integrated in a common environmental isolation unit 32 made of durable materials such as stainless steel. As shown, Figure 7As shown, the environmental isolation unit 32 has an annular air chamber inside that communicates with the positive pressure air curtain purge interface 33. This annular air chamber has a ring of annular nozzles around the optical window of the infrared temperature sensor 31. The protective cover has optical windows corresponding to each sensor, and the window material is a special glass or crystal (such as sapphire glass) that can transmit infrared wavelengths.

[0048] The environmental isolation unit 32 is equipped with a positive pressure air curtain purge port 33. For example... Figure 7 As shown, the positive pressure air curtain purge interface 33 is connected to the factory's clean compressed air source via a pipeline. The introduced clean, dry gas first enters the annular air chamber and is evenly distributed, then is ejected at high speed through the annular nozzle, thereby forming a stable, coaxial conical or cylindrical gas barrier (i.e., air curtain) in front of the sensor lens. This air curtain not only effectively prevents dust, oil, or moisture from the external environment from adhering to the optical window, but also isolates it from disturbances caused by surrounding high-temperature airflow, ensuring the continuous cleanliness and stability of the infrared temperature measurement optical path.

[0049] Furthermore, to achieve on-demand supply and energy saving of the purging gas, the system also includes an optical window monitoring unit (not shown separately in the structural diagram, but integrated into or adjacent to the environmental isolation unit 32). This unit may consist, for example, of an LED light source located on one side of the optical window and a photoelectric sensor on the other side, for online real-time measurement of the window's optical transmittance. The central processing unit (hereinafter) receives the signal from this unit, and when it detects that the transmittance is lower than a preset threshold (e.g., 95%), it adaptively increases the pressure of the clean gas introduced from the positive pressure air curtain purging interface 33 or extends the purging duration; when the transmittance recovers to above the normal value, it reduces the pressure or shortens the purging time, or even uses intermittent pulse purging, thereby maximizing the conservation of compressed air consumption while ensuring window cleanliness.

[0050] At the same time, refer to Figure 4 The mounting bracket 5 is also equipped with a dynamic calibration unit, specifically a laser or ultrasonic ranging sensor 40, whose measuring head emits a beam to the surface of the kiln body to monitor the precise distance between the energy harvesting hood 1 and the kiln body in real time.

[0051] Reference Figure 1 and Figure 2 The predictive optimization engine of this system is the core of achieving intelligent operation. The hardware of this module is mainly a central processing unit (e.g., a high-performance industrial PLC or embedded computer), which receives input signals from all sensors and outputs control commands to actuators (such as variable frequency water pumps).

[0052] The working methods and processes of this system are as follows:

[0053] The first step: when the high-precision multi-dimensional state perception system is running, the central processing unit collects data in real time through multiple channels: through the distributed temperature perception system 30, the temperature data of multiple points on the kiln body surface are collected, and after compensation and correction combined with the real-time distance data provided by the dynamic calibration unit (distance measuring sensor 40), an accurate and real-time two-dimensional temperature distribution field data is constructed inside the controller. Through the multiple temperature probes 50 of the phase change heat storage state monitoring unit, the phase change plateau data is analyzed, and the heat storage state of the heat storage module 21 is judged in real time. At the same time, in a complete heat charging / discharging cycle, the actual heat storage amount of the heat storage module 21 is calculated by integrating the instantaneous heat power flowing into / out of the heat storage module 21 (the power can be calculated by measuring the temperature difference and flow of the heat exchange fluid entering and leaving the phase change medium chamber 20), and the actual heat storage amount is used to periodically calibrate the heat storage state determined by the temperature plateau data, eliminating the measurement drift that may be caused by long-term operation. The real-time transmittance data of the optical window is obtained through the optical window monitoring unit.

[0054] The second step: predictive feedforward regulation based on a hybrid model In order to overcome the hysteresis of traditional feedback control and improve the adaptability to unforeseen working conditions, the central processing unit performs feedforward control. It receives the production plan parameters for a period of time in the future from the factory's production management system (MES) through the communication interface. The controller has a hybrid prediction algorithm (or uses an integrated learning prediction method such as gradient boosting tree) that combines data-driven and mechanism models. This algorithm not only uses a data-driven model (such as ARIMA or RNN) trained with historical data, but also combines a simplified thermal model of the rotary kiln based on the principles of physical heat transfer, inputs the production plan parameters (material ratio, rotation speed, etc.) as influencing factors, and combines the current two-dimensional temperature distribution field data as the initial state to iteratively calculate the prediction results of the kiln body surface temperature distribution field for a period of time in the future. Based on this more robust and accurate prediction result, the central processing unit adjusts the target flow of the circulation loop in advance to achieve more accurate feedforward regulation.

[0055] Third step: Dynamic multi-mode optimization central processing unit based on reinforcement learning The central processing unit uses a reinforcement learning algorithm to make decisions about the operating mode and optimize traffic, replacing fixed mode switching thresholds and cost functions. The central processing unit, as an agent, defines real-time kiln conditions (from a distributed temperature sensing system), heat storage status (from a monitoring unit), real-time electricity prices, external heat load demand, and equipment health status (such as water pump health based on vibration signal evaluation) as the state of the system environment (Environment). The controller's action (Action) is to decide whether the system is running in maximum output mode or economic operation mode, and to set the target flow value in that mode. Through continuous interaction with the environment (performing actions and observing state changes and rewards / punishments obtained), the controller autonomously learns an optimal control policy (Policy). The goal of this policy is to maximize a pre-defined long-term cumulative reward function that combines system recovered heat power (positive reward), the product of water pump real-time power consumption and electricity price (negative reward), and health factors representing equipment wear and tear (negative reward). Through this self-learning and dynamic decision-making mechanism, the system can automatically find the globally optimal operating mode under various operating conditions, achieving the lowest total life cycle cost.

[0056] Fourth step: Intelligent diagnosis based on multi-source information fusion During the entire operation of the system, the central processing unit runs an intelligent diagnosis program based on multi-source information fusion in parallel. In addition to continuously monitoring the pressure-flow (P-Q) relationship of the circulating loop and comparing it with the health benchmark curve, and comparing the deviation of the theoretical and actual recovered heat power, the central processing unit also receives signals from additional sensors, such as vibration sensors installed on the water pump and / or fluid property sensors (such as online turbidity meters or conductivity meters) installed in the circulating loop. The central processing unit uses multi-source data fusion algorithms (such as Bayesian networks, support vector machines, or expert system rule bases) to comprehensively analyze and cross-verify multi-dimensional information such as P-Q relationship deviation, heat efficiency deviation, vibration spectrum characteristics, fluid turbidity / conductivity, etc. This integrated diagnostic method can significantly improve the accuracy and reliability of early and complex fault diagnosis of pipeline fouling, blockage, heat transfer fluid performance degradation, water pump bearing wear or cavitation, etc., reducing false positives and false negatives, and triggering corresponding alarms or safety protection mechanisms.

[0057] In a specific implementation, as in a simplified system, the function of linkage with the factory MES system for prediction can not be included. At this time, the system, although lacking the feedforward regulation capability, can still retain the multi-mode switching, economic operation optimization, and online health diagnosis functions. The central processing unit of the simplified system mainly performs feedback regulation based on the real-time acquisition of kiln temperature, heat storage state, and heat load demand, and can also achieve more stable and more economical operation effect than the prior art, and is suitable for factory renovation projects with low informatization level.

[0058] In another embodiment, the physical structure of the thermal energy storage module 21 can be different. For example, instead of the form of the phase change medium chamber 20, the phase change heat storage material can be packaged in a plurality of independent, modular heat storage units with good heat transfer surfaces, and the heat storage units are fixed to the inner side of the energy collection cover 1 by buckling or welding, so as to facilitate flexible configuration according to different heat storage requirements, and also facilitate maintenance and replacement of individual heat storage units.

[0059] The above is only the preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art within the technical range disclosed by the present application, according to the technical scheme and the inventive concept of the present application, makes equivalent replacement or change, should be covered within the protection scope of the present application.

Claims

1. A rotary kiln waste heat control system, comprising: Rotary kiln body (6); An energy collection hood (1) is disposed on the upper side of the rotary kiln cylinder (6); Several heat exchange manifolds (2) are fixed to the inside of the energy collection shroud (1); Inlet manifold (3) and outlet manifold (4); Fixture (5); And a circulation loop including a water pump; characterized in that the system further includes: Thermal energy storage module (21), the thermal energy storage module (21) includes a phase change thermal storage material disposed inside the energy collection hood (1) or coupled with the heat exchange manifold (2) for heat transfer; And a predictive optimization engine, which includes at least one sensor for monitoring the system's operating status, an actuator connected to a water pump for adjusting the flow rate of the heat exchange fluid, and a central processing unit electrically connected to the sensor and the actuator. The central processing unit is also configured to: (a) Based on data from the sensors and future production plan parameters from the factory production management system, a predictive model is used to predict the temperature distribution field on the surface of the kiln; (b) Based on the prediction results, real-time data from the sensor, and the preset optimization target, the optimal target flow value for the actuator is dynamically calculated; The thermal energy storage module (21) is a sealed phase change medium chamber (20), and the phase change medium chamber (20) is filled with the phase change thermal storage material; the phase change medium chamber (20) is also provided with a three-dimensional mesh heat transfer matrix (22) with gradient density, and its density is non-uniformly distributed along the thickness direction of the phase change medium chamber (20). Furthermore, the outer wall panel of the phase change medium chamber (20) is integrally formed into a flexible wall panel with multiple annular or spiral grooves, constituting an integrated deformation compensation wall panel (23). The sensor includes a distributed temperature sensing system (30) comprising multiple infrared temperature sensors (31), the multiple infrared temperature sensors (31) being integrated into a shared environmental isolation unit (32); The interior of the environmental isolation unit (32) has an annular air chamber that is connected to the positive pressure air curtain purge interface (33). The annular air chamber is provided with an annular nozzle around the optical window of each of the infrared temperature sensors (31) to form a coaxial protective air curtain.

2. The rotary kiln shell waste heat regulation system of claim 1, wherein, The system also includes an optical window monitoring unit configured to measure the optical transmittance of at least one optical window on the environmental isolation unit (32) online; The central processing unit is also configured to adaptively adjust the pressure or purging duration of the clean gas introduced from the positive pressure air curtain purging interface (33) based on the measured optical transmittance.

3. The rotary kiln shell waste heat regulation system of claim 2, wherein, The system also includes a dynamic calibration unit, which includes a distance sensor (40) for measuring the distance between the energy harvesting hood (1) and the surface of the rotary kiln shell (6); the central processing unit is used to compensate and correct the data collected by the distributed temperature sensing system (30) based on the data from the distance sensor (40).

4. The rotary kiln shell waste heat regulation system of claim 1, wherein, The system also comprises a phase change heat storage state monitoring unit, including a plurality of temperature probes (50) implanted at different depths inside the phase change heat storage material; The central processing unit is configured to determine the heat storage state by analyzing the temperature plateau data, and to calculate the actual heat storage amount by integrating the instantaneous heat power in a complete charge / discharge cycle, so as to periodically calibrate the heat storage state.

5. A method for regulating the residual heat of a rotary kiln shell, which utilizes the rotary kiln shell residual heat regulating system according to any one of claims 1 to 4, comprising the step of: driving the heat exchange fluid by the water pump to circulate through the heat exchange manifold (2) to absorb the heat on the surface of the rotary kiln shell (6); characterized in that, The method further comprises the following steps: The sensor is configured to collect real-time operation state data of the system and send the data to the central processing unit; The central processing unit is configured to calculate a target flow value according to the operation state data and a preset control algorithm; The central processing unit is configured to adjust the actual flow of the heat exchange fluid in the circulation loop to the target flow value through the actuator; The step of calculating the target flow value by the central processing unit comprises: using an ensemble learning prediction method, the ensemble learning prediction method receives future production plan parameters from a factory production management system as influence factor inputs, and combines a rotary kiln thermal model based on physical mechanism and current two-dimensional temperature distribution field data to iteratively calculate a prediction result of the kiln body surface temperature distribution field in a future time period, and based on the prediction result, performs feedforward regulation to improve the generalization ability and robustness of the model under untrained working conditions.

6. The method of claim 5, wherein, The method further comprises a multi-mode operation step, wherein the central processing unit uses a reinforcement learning algorithm to autonomously learn an optimal control strategy, which dynamically determines whether the system should operate in a maximum output mode or an economic operation mode according to real-time kiln conditions, electricity prices, heat loads, heat storage states, and a long-term cumulative return function including a device health loss factor, and determines the optimal target flow value in the mode.

7. The method of claim 5, wherein, The method further comprises an intelligent diagnosis step based on multi-source information fusion: the central processing unit fuses differential pressure and flow data from the circulation loop, deviation data of theoretical and actual recovered heat power, and data from vibration sensors and / or fluid property sensors associated with the water pump, and uses a multi-source data fusion algorithm for comprehensive analysis to improve the diagnosis accuracy and reliability of abnormal conditions such as pipeline scaling, clogging, heat exchange fluid performance degradation, or early water pump failure, and triggers an alarm or safety protection mechanism.

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