Partition temperature control method, system and device for continuous heating equipment

Abstract

The application relates to the technical field of industrial heat treatment, and provides a partition temperature control method, system and device of a continuous heating equipment, which comprises the following steps: determining a current processing stage of a material to be processed in the continuous heating equipment; independently adjusting a power output ratio of an upper heating unit and a lower heating unit based on the processing stage; decoupling total heating power of at least one temperature control zone into steady-state reference power, dynamic feedback power and process correction power, and controlling the corresponding heating unit to perform heating output based on the steady-state reference power, the dynamic feedback power and the process correction power. The application overcomes control lag caused by thermal inertia through power dimension decoupling and spatiotemporal asymmetric temperature control cooperation, and improves continuous processing quality consistency.

Description

Technical Field

[0001] This application relates to the field of industrial heat treatment technology, specifically to a zoned temperature control method, system, and apparatus for continuous heating equipment. Background Technology

[0002] Continuous heating equipment is widely used in the continuous heat treatment of materials in fields such as food baking, chemical materials, and electronic component manufacturing. Existing continuous heating equipment typically employs multi-segment temperature settings combined with PID closed-loop control to maintain stable furnace temperatures. However, due to the large volume and significant thermal inertia of continuous heating equipment, a single closed-loop temperature control mechanism often only responds to fluctuations in ambient temperature, making it difficult to precisely allocate heat according to the physical changes of materials at different processing stages. Especially when fine adjustments are needed to the surface condition or internal ripening degree of the material, conventional temperature feedback regulation exhibits lag and cannot distinguish between the control dimensions of maintaining environmental steady-state conditions and process correction. This results in poor consistency in the processing quality of materials during continuous production, easily leading to problems such as uneven surface color, insufficient internal ripening, or overheating. Summary of the Invention

[0003] To address the problems of large thermal inertia in existing continuous heating equipment and the difficulty of balancing cavity environment stability and fine-tuning of material surface processes with single closed-loop temperature control, this application proposes a zoned temperature control method, system, and device for continuous heating equipment. This method achieves precise matching of heat flux on the upper and lower surfaces of the material at different heating stages and multi-dimensional decoupled control of heating power, thereby improving the quality consistency of continuous processing.

[0004] To achieve the above objectives, this application adopts the following technical solution: A zoned temperature control method for a continuous heating device is disclosed. The continuous heating device includes multiple temperature control zones arranged sequentially along a conveying direction. Each temperature control zone is equipped with an upper heating unit and a lower heating unit. The method includes: determining the current processing stage of the material to be processed within the continuous heating device; independently adjusting the power output ratio of the upper heating unit and the lower heating unit based on the processing stage; decoupling the total heating power of at least one temperature control zone into a steady-state reference power, a dynamic feedback power, and a process correction power; and controlling the corresponding heating unit to perform heating output based on the steady-state reference power, the dynamic feedback power, and the process correction power.

[0005] The above solution decouples the heating power into three independent dimensions and combines them with asymmetric temperature control of the processing stage. This allows the equipment to maintain the basic thermal balance of the furnace cavity while providing differentiated heat flux to the upper and lower surfaces for specific physical change stages of the material. It also uses independent process correction dimensions to compensate for process deviations that cannot be covered by a single temperature closed loop, thereby solving the control lag problem caused by thermal inertia.

[0006] As one implementation, the heating unit controlling the heating output based on the steady-state reference power, the dynamic feedback power, and the process correction power includes: controlling the heating unit to continuously output the steady-state reference power; acquiring the ambient temperature detection result within the temperature control zone, and adjusting the dynamic feedback power in a closed loop based on the deviation between the ambient temperature detection result and the target temperature; acquiring the status feedback or external process command of the material to be processed after it exits the furnace, and adjusting the process correction power in an open loop or semi-closed loop based on the status feedback or the external process command.

[0007] This implementation clearly defines the differences in trigger sources and control logic across three power dimensions: steady-state reference power is used to combat constant losses such as equipment heat dissipation, dynamic feedback power is used to eliminate environmental disturbances, and process correction power is specifically used to respond to material conditions or human intervention. This hierarchical control architecture effectively prevents environmental temperature fluctuations from masking the true process requirements, ensuring the independence and accuracy of process adjustments.

[0008] In one implementation, the processing stage includes a first processing stage, a second processing stage, and a third processing stage performed sequentially along the conveying direction; the step of independently adjusting the power output ratio of the upper heating unit and the lower heating unit based on the processing stage includes: in the first processing stage, controlling the power output of the lower heating unit to be greater than the power output of the upper heating unit; in the second processing stage, controlling the upper heating unit and the lower heating unit to output power in coordination according to a preset ratio; and in the third processing stage, controlling the power output of the upper heating unit to be greater than the power output of the lower heating unit.

[0009] This implementation constructs a time-sequential asymmetric temperature control model that conforms to the physical changes of materials. In the first stage, bottom heat transfer is enhanced to promote material expansion or preheating; in the second stage, heat is supplied evenly to ensure overall ripening or complete reaction; and in the third stage, top radiation is enhanced to achieve surface coloring or curing. This strategy ensures a high degree of fit between the heat supply curve and the material's endothermic characteristic curve, avoiding localized over- or under-baking caused by uniform heating throughout the process.

[0010] In one implementation, the processing stages include a first processing stage, a second processing stage, and a third processing stage performed sequentially along the conveying direction; the step of adjusting the process correction power in an open-loop or semi-closed-loop manner based on the status feedback or the external process command includes: when the status feedback indicates that the surface state of the material to be processed deviates from the target surface state, adjusting the process correction power corresponding to the third processing stage, or adjusting the conveying speed of the material to be processed; when the status feedback indicates that the bottom state of the material to be processed deviates from the target bottom state, adjusting the process correction power corresponding to the first processing stage or the second processing stage, or adjusting the conveying speed.

[0011] This implementation establishes a reverse tracing and correction mechanism based on the final state of the material. By associating surface state anomalies with the correction in the third stage and bottom state anomalies with the correction in the first or second stage, precise location and targeted compensation of the cause of the fault are achieved. Simultaneously, the introduction of conveying speed as an adjustment variable provides another time-dimensional control method besides power adjustment, enhancing the system's adaptability to complex operating conditions.

[0012] As one implementation, obtaining the status feedback of the material to be processed after it exits the furnace includes: acquiring image information of the material to be processed after it exits the furnace through an image acquisition component; identifying the surface color and bottom color of the material to be processed based on the image information, and using the surface color and bottom color as the status feedback.

[0013] This implementation utilizes machine vision technology to replace subjective human judgment, transforming the sensory indicator of color into a quantifiable digital signal. This not only improves the objectivity and real-time nature of status feedback but also provides a reliable data foundation for automated closed-loop correction, enabling quality fluctuations in continuous production processes to be captured and automatically corrected in real time.

[0014] In one embodiment, the method further includes: acquiring the specification parameters of the material to be processed; and automatically matching and switching the conveying speed, target temperature, and power output ratio of the upper heating unit and the lower heating unit for each processing stage based on the specification parameters.

[0015] This implementation method enables flexible adaptation of the production line to different product specifications. By establishing a mapping relationship between specification parameters and temperature control strategies, the system can automatically reconstruct the process windows at each stage during production changeovers, eliminating the need for tedious manual readjustment, significantly shortening changeover preparation time, and reducing the risk of batch scrap due to human error.

[0016] As one implementation, the method further includes: before formal material feeding, controlling the continuous heating equipment to preheat, and after each temperature control zone reaches a preset temperature, controlling the conveyor belt to run at a pre-running speed; during the period when the conveyor belt runs at the pre-running speed, performing trial baking on the trial-processed material and obtaining the test results of the trial-processed material; correcting the steady-state reference power, the dynamic feedback power, and the process correction power based on the test results, and when the corrected parameters meet the preset process requirements, increasing the speed of the conveyor belt to the formal production speed.

[0017] This implementation method incorporates a low-speed trial run and parameter self-calibration startup process. By verifying and fine-tuning the three-dimensional power parameters through small-batch trial production before formal mass production, the uncertainties in the thermal state after cold start or long-term shutdown can be effectively eliminated, ensuring that the equipment is in the optimal process window when it enters formal production speed, thus avoiding material waste in the initial startup phase.

[0018] In one implementation, both the upper heating unit and the lower heating unit include an electric heating branch or a gas combustion assembly; the heating unit that controls the heating output based on the steady-state reference power, the dynamic feedback power, and the process correction power performs the heating output by adjusting the on / off state and power output ratio of the electric heating branch, or adjusting the gas supply and combustion intensity of the gas combustion assembly, thereby realizing the output of the steady-state reference power, the dynamic feedback power, and the process correction power.

[0019] This implementation concretizes the abstract power decoupling control logic into a physical drive for electric or gas heating actuators. Whether through power electronic device adjustment or proportional regulation of the gas valve, it can carry control commands for three levels of power output, ensuring the versatility and feasibility of the method in continuous heating equipment with different heat source types.

[0020] In addition, this application also provides a zoned temperature control system for a continuous heating device, including a memory and a processor, wherein the processor executes a program in the memory to implement the zoned temperature control method as described above.

[0021] The aforementioned system, through a combination of hardware and software, solidifies the zoned temperature control method into executable computational logic, providing an intelligent control core for continuous heating equipment, enabling complex decoupled control and asymmetric temperature control strategies to operate stably in actual industrial scenarios.

[0022] In addition, this application also provides a continuous heating device, including a furnace body, a conveyor belt, an upper heating unit, a lower heating unit, and a zoned temperature control system as described above.

[0023] The aforementioned equipment integrates a dedicated zoned temperature control system, which ensures the realization of multi-level power output and independent zoned adjustment from the hardware architecture level. This directly improves the processing performance and product yield of the terminal equipment and solves the performance bottleneck of traditional general-purpose heating equipment in precision continuous processing scenarios.

[0024] Beneficial effects: The zoned temperature control method, system, and apparatus for continuous heating equipment provided in this application decouple the total heating power of the temperature control zone into three relatively independent control dimensions: steady-state reference power, dynamic feedback power, and process correction power. This overcomes the limitations of traditional single PID temperature control methods, where the maintenance of the basic thermal environment and the fine-tuning of process parameters are coupled and interfere with each other. Specifically, the steady-state reference power is used to maintain the stability of the basic thermal environment during equipment operation; the dynamic feedback power is used to quickly suppress temperature fluctuations and external disturbances; and the process correction power is used to perform refined process compensation based on the material discharge status or external control commands without significantly disrupting the overall thermal balance.

[0025] Furthermore, this application dynamically adjusts the power output ratio of the upper and lower heating units based on the first, second, and third processing stages that the material sequentially undergoes along the conveying direction. This ensures that the heat supply method matches the physical changes in the material during processing, such as expansion, ripening, and coloring. This effectively alleviates the control lag problem caused by the large thermal inertia of continuous heating equipment, improves the consistency and stability of material processing quality during continuous production, and enables the equipment to have flexible production capabilities that can adapt to switching between multiple product specifications and self-calibrate upon startup. Attached Figure Description

[0026] Figure 1 This is a flowchart of the zoned temperature control method for a continuous heating device according to an embodiment of this application; Figure 2 This is a schematic diagram of the structure of a continuous heating device according to an embodiment of this application; Figure 3 This is a schematic diagram of the three-stage asymmetric temperature control in an embodiment of this application; Figure 4 This is a three-level power decoupling control logic diagram according to an embodiment of this application; Figure 5 This is a process correction flowchart based on material status feedback according to an embodiment of this application; Figure 6 This is a schematic diagram of image acquisition and color recognition feedback in an embodiment of this application; Figure 7 This is a flowchart of the power-on preheating and parameter self-calibration process according to an embodiment of this application; Figure 8 This is a block diagram of the partitioned temperature control system module structure according to an embodiment of this application. Detailed Implementation

[0027] To make the objectives, technical solutions, and beneficial effects of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the embodiments described below are only some embodiments of this application, and not all embodiments.

[0028] Unless otherwise defined, the technical and scientific terms used herein shall be interpreted in accordance with the meaning commonly understood by one of ordinary skill in the art to which this application pertains.

[0029] Example 1 like Figure 1 As shown, this embodiment provides a zoned temperature control method for a continuous heating device, which is applied to the continuous heating device. The continuous heating device includes multiple temperature control zones arranged sequentially along the conveying direction, and each temperature control zone is equipped with an upper heating unit and a lower heating unit. The method of this embodiment mainly includes the following steps.

[0030] Step S100: Determine the current processing stage of the material to be processed in the continuous heating equipment.

[0031] Specifically, the processing stage does not refer to a fixed spatial division within the equipment, but rather to a sequential division based on the physical or chemical changes that occur in the material during continuous conveying. For example, the entire heat treatment process can be divided into several processing periods with different thermal requirements based on the material's endothermic curve, phase transition node, or reaction rate. In actual operation, the current displacement of the material can be calculated by acquiring the real-time running speed of the conveyor belt and the starting time of the material entering the furnace, and this displacement can be mapped to the corresponding processing stage. Alternatively, the material's position signal can be directly detected by position sensors installed inside the furnace to determine the current stage of the material. This stage division method based on the evolution of the material's state allows the temperature control strategy to dynamically match the actual processing state of the material, rather than being mechanically bound to a fixed physical temperature zone, thereby improving the method's adaptability to different furnace lengths and different process formulations.

[0032] Step S200: Based on the processing stage, independently adjust the power output ratio of the upper heating unit and the lower heating unit.

[0033] Specifically, the independent adjustment refers to treating the upper and lower heating units as independently addressable and independently assignable control objects in the control logic, enabling them to form an asymmetric power distribution relationship based on the thermal requirements of the current processing stage. For example, in processing stages requiring enhanced bottom heat transfer, the power output of the lower heating unit can be controlled to be higher than that of the upper heating unit; in processing stages requiring enhanced surface radiation heating, the power ratio of the upper heating unit can be increased accordingly. This adjustment method overcomes the limitations of traditional equipment where the upper and lower heating units are linked or have a fixed output ratio, allowing the heat supply mode to better match the differentiated heat flux requirements of the upper and lower surfaces at different processing stages, reducing the risk of local overheating or underheating caused by uniform heating throughout the process.

[0034] Step S300: Decouple the total heating power of at least one temperature control zone into steady-state reference power, dynamic feedback power and process correction power, and control the corresponding heating unit to perform heating output based on the steady-state reference power, dynamic feedback power and process correction power.

[0035] Specifically, power decoupling is a multi-dimensional control model established at the control algorithm level, not limited to the physical separation of hardware circuits. The steady-state reference power compensates for the inherent heat loss of the equipment under steady-state operating conditions, providing a basic thermal balance for the furnace cavity. The dynamic feedback power responds to the real-time detection results of the ambient temperature sensor, suppressing environmental disturbances caused by factors such as door opening and closing, air intake and exhaust, or fluctuations in external temperature through closed-loop regulation. The process correction power, as an independent control dimension, responds to the quality status feedback of materials after exiting the furnace or external process adjustment commands, compensating for specific process deviations without significantly disrupting the overall thermal balance. By decoupling the total heating power into these three distinct control components, this embodiment helps solve the problem of mutual coupling and interference between environmental steady-state maintenance and process fine-tuning in traditional single PID control. When process correction is required, the system can primarily adjust the process correction power component without simultaneously changing the reference and feedback components used to maintain environmental stability, thereby achieving refined and low-hysteresis control of material processing quality while maintaining overall furnace temperature stability.

[0036] It should be understood that although this embodiment describes the above process in three independent steps, in actual execution, steps S200 and S300 can be executed in parallel or alternately according to a preset control cycle; the power decoupling control logic can be applied to all temperature control zones or only to critical temperature control zones that are highly sensitive to the process, and this application does not limit it in this regard.

[0037] Example 2 like Figure 2 and Figure 3 and Figure 6 and Figure 7 As shown in Example 1, this example further illustrates the three-level power decoupling control logic, the staged asymmetric temperature control strategy, the equipment startup calibration process, and the hardware implementation. The continuous heating equipment includes a furnace body 10, a conveyor belt 20 running through the furnace body 10, multiple temperature control zones 30 arranged sequentially along the conveying direction, an upper heating unit 40 located above each temperature control zone 30, a lower heating unit 50 located below each temperature control zone 30, and a zoned temperature control system 60. The material to be processed 200 passes sequentially through the first processing stage A1, the second processing stage A2, and the third processing stage A3 along the conveying direction with the conveyor belt 20.

[0038] like Figure 2 As shown, the heating unit is controlled to perform heating output based on steady-state reference power P1, dynamic feedback power P2, and process correction power P3. Specifically, this includes: controlling the heating unit to continuously output steady-state reference power P1; obtaining the ambient temperature detection result within the temperature control zone 30 through the temperature detection component, and adjusting the dynamic feedback power P2 in a closed loop based on the deviation between the ambient temperature detection result and the target temperature; obtaining the status feedback 80 or external process command 90 of the material to be processed 200 after it exits the furnace, and adjusting the process correction power P3 in an open loop or semi-closed loop based on the status feedback or external process command.

[0039] Specifically, the three power dimensions mentioned above are distinguished in terms of triggering source and control mechanism. The steady-state reference power P1 is a relatively stable basic output quantity. Its value can be pre-calibrated based on the insulation performance of the continuous heating equipment, the environmental heat dissipation coefficient, and historical operating data. It is used to offset the inherent heat loss of the furnace body 10 during steady-state operation and to provide a stable thermal balance basis for the furnace cavity. This power component is continuously output during normal production and typically does not change frequently with instantaneous temperature fluctuations. The dynamic feedback power P2 belongs to the environmental closed-loop control component. Its triggering source is the temperature detection component 70 located within the temperature control zone 30, such as a thermocouple or infrared thermometer. When the temperature detection component detects that the actual ambient temperature deviates from the target temperature, the zone temperature control system 60 calculates the compensation amount in real time using a PID algorithm or other closed-loop algorithm to suppress environmental disturbances caused by factors such as door opening and closing, air intake and exhaust, changes in external temperature, or voltage fluctuations.

[0040] Unlike the steady-state reference power P1 and the dynamic feedback power P2, the trigger source for the process correction power P3 is not the furnace ambient temperature, but rather the quality status feedback of the material to be processed 200 after it exits the furnace, such as color, size, and internal ripening degree, or external process instructions issued by the operator or the host computer. Since the state changes of the material to be processed 200 are usually lag-dependent and may not have a direct linear correlation with the ambient temperature, the process correction power P3 can be adjusted in an open-loop or semi-closed-loop manner. That is, it reverse-corrects the energy input of a specific processing stage based on the final processing result of the material to be processed 200, without directly participating in the real-time stable control of the ambient temperature. By distinguishing between environmental steady-state maintenance and process fine-tuning in the control dimension, this embodiment can reduce the situation where ambient temperature fluctuations mask the actual process requirements or process adjustments affect the overall thermal balance, enabling the continuous heating equipment to maintain a stable furnace temperature while allowing for more precise control over the processing quality of the material to be processed 200.

[0041] like Figure 3 As shown, the processing stages include a first processing stage A1, a second processing stage A2, and a third processing stage A3, which are carried out sequentially along the conveying direction. Based on the processing stage, the power output ratio of the upper heating unit 40 and the lower heating unit 50 is independently adjusted, including: in the first processing stage A1, controlling the power output of the lower heating unit 50 to be greater than the power output of the upper heating unit 40; in the second processing stage A2, controlling the upper heating unit 40 and the lower heating unit 50 to output power in coordination according to a preset ratio; and in the third processing stage A3, controlling the power output of the upper heating unit 40 to be greater than the power output of the lower heating unit 50.

[0042] Specifically, this phased asymmetric temperature control strategy is designed based on the temporal pattern of physicochemical changes in the material 200 during continuous heat treatment. The first processing stage A1 typically corresponds to the preheating, expansion, or initial shaping period of the material 200. At this stage, the interior of the material 200 is not yet fully heated; premature surface crusting or hardening may affect internal volume expansion or moisture migration. Therefore, by enhancing the output of the lower heating unit 50, heat is preferentially conducted from the bottom to the interior of the material 200, which is beneficial for overall heating and expansion. Simultaneously, the upper heating unit 40 maintains a relatively low output to reduce the risk of surface overheating. The second processing stage A2 typically corresponds to the dehydration, ripening, or main reaction period of the material 200. At this stage, the material 200 needs to be heated relatively uniformly to ensure the uniformity of its internal structure. Therefore, the upper heating unit 40 and the lower heating unit 50 are controlled to output in a preset ratio, such as 1:1, or a specific ratio dynamically calculated based on the material thickness, to form a more balanced thermal field distribution. The third processing stage, A3, typically corresponds to the surface coloring, curing, or final treatment period of the material to be processed 200. At this stage, the internal structure of the material to be processed 200 has basically met the process requirements. The main control objective is to improve the surface appearance or surface properties. Therefore, the power distribution is reversed so that the output of the upper heating unit 40 is greater than that of the lower heating unit 50. This utilizes the top radiant heat to promote the Maillard reaction or coating curing on the surface and reduces the possibility of overheating or scorching due to continued heating at the bottom. It should be understood that the division criteria and power ratio values ​​of the above three stages can be adaptively adjusted according to the type, specifications, and process requirements of the material to be processed 200, and this application does not impose any limitations on this.

[0043] Before formal material feeding, a start-up calibration process can be executed, which includes: controlling the continuous heating equipment to preheat, and after each temperature control zone 30 reaches the preset temperature, controlling the conveyor belt 20 to run at the pre-running speed; during the operation of the conveyor belt 20 at the pre-running speed, performing trial baking on the trial-processed material and obtaining the test results of the trial-processed material; correcting the steady-state reference power P1, dynamic feedback power P2 and process correction power P3 based on the test results, and increasing the speed of the conveyor belt 20 to the formal production speed when the corrected parameters meet the preset process requirements.

[0044] Specifically, after a cold start or long-term shutdown, the thermal state of the refractory material of the furnace body 10, the conveyor belt 20, and internal components of the continuous heating equipment may be uncertain. If it directly enters formal production, the processing quality of the first batch of materials may fluctuate. This embodiment introduces a low-speed trial run and parameter self-calibration mechanism to verify the actual process effect under the current thermal state using a small amount of trial-processed materials before formal mass production. The pre-run speed can be set to 30% to 60% of the formal production speed to allow sufficient time to observe the material state and make parameter fine-tuning. The zone temperature control system 60 automatically or manually corrects the three-level power parameters based on the test results of the trial-processed materials, such as center temperature, surface color, and weight loss rate. For example, if the center temperature of the test product is too low, the steady-state reference power P1 or the dynamic feedback gain of the second processing stage A2 can be appropriately increased; if the surface color is uneven, the process correction power P3 bias of the third processing stage A3 can be adjusted. After verifying and confirming that the corrected parameters meet the preset process window, the zone temperature control system 60 then controls the conveyor belt 20 to switch to the formal production speed. This process can reduce the initial state deviation caused by the thermal inertia of continuous heating equipment, enabling the production line to be in a relatively stable process state when it enters formal production, thereby reducing material waste and debugging time during the start-up phase.

[0045] Both the upper heating unit 40 and the lower heating unit 50 include an electric heating branch or a gas combustion assembly; the corresponding heating unit is controlled to perform heating output based on the steady-state reference power P1, dynamic feedback power P2 and process correction power P3, including: adjusting the on / off state and power output ratio of the electric heating branch, or adjusting the gas supply and combustion intensity of the gas combustion assembly to achieve the output of steady-state reference power P1, dynamic feedback power P2 and process correction power P3.

[0046] Specifically, the three-level power decoupling control logic of this application has good hardware compatibility. For the implementation using electric heating, the steady-state reference power P1 can be continuously conducted with a fixed duty cycle via a solid-state relay or a thyristor module; the dynamic feedback power P2 can be adjusted in real time using a PID algorithm to change the effective output power by adjusting the PWM pulse width or phase angle; and the process correction power P3 can be achieved by superimposing an additional power adjustment signal or switching an independent compensation heating branch. For the implementation using gas heating, the steady-state reference power P1 can correspond to the burner's basic low-fire setting or minimum stable combustion flow rate; the dynamic feedback power P2 can be achieved by a proportional control valve continuously adjusting the gas-air mixture ratio according to the temperature deviation; and the process correction power P3 can provide additional heat load through an independently controlled auxiliary burner or a specific nozzle group of the main burner. Regardless of the heat source form, as long as the actuator has independent adjustment capability and can respond to graded control commands, it can support the three-level power output model of this application, thereby ensuring the versatility and feasibility of this zoned temperature control method on different types of continuous heating equipment.

[0047] Example 3 like Figure 4 As shown in Example 2, this example further illustrates a process correction power adjustment strategy based on material state feedback. When the state feedback indicates that the surface state of the material to be processed deviates from the target surface state, the process correction power corresponding to the third processing stage is adjusted, or the conveying speed of the material to be processed is adjusted; when the state feedback indicates that the bottom state of the material to be processed deviates from the target bottom state, the process correction power corresponding to the first or second processing stage is adjusted, or the conveying speed is adjusted.

[0048] Specifically, this embodiment constructs a reverse traceability correction mechanism based on the final quality state of the material. Its core lies in locating the quality deviation to the historical processing period most likely to have caused it, based on the different types of deviations, and selecting appropriate adjustment variables for compensation. For surface state deviations, such as excessively light or dark surface coloring, or uneven gloss, since the surface state is mainly formed at the end of the heat treatment process, i.e., the third processing stage, the system prioritizes adjusting the process correction power corresponding to the third processing stage. This adjustment can manifest as increasing or decreasing the additional power output of the upper heating unit to directly change the radiative heat flux of the material surface. As an alternative or supplementary means, the system can also adjust the conveying speed, changing the total heat absorbed by the surface by extending or shortening the material's residence time in the third processing stage. The above-mentioned response method for surface problems utilizes the characteristics of the third processing stage having a more direct impact on the surface state and a shorter correction path, which is beneficial for achieving faster process correction.

[0049] Accordingly, when the status feedback indicates a deviation in the bottom state, such as an undercooked bottom, excessively dark bottom color, or abnormal bottom hardness, this embodiment does not prioritize adjusting the parameters of the current third processing stage. Instead, it retrospectively adjusts the process correction power corresponding to the first or second processing stage, or adjusts the conveying speed. This design is based on the control characteristics of thermal inertia hysteresis in continuous heating equipment. During continuous conveying, the thermal state of the material's bottom is mainly determined by the bottom heat transfer process in the initial stage of entering the furnace. Heat is conducted from the bottom to the interior of the material, triggering corresponding physicochemical changes, which is usually a long-term cumulative process. When the material reaches the outlet and an abnormal bottom state is detected, this abnormality is often related to the heating history of the first or second processing stage. Directly adjusting the power of the third processing stage may not be able to improve the already formed bottom structure and may also affect the current surface thermal balance. Therefore, by mapping the bottom state feedback to the correction power of the preceding process, this embodiment can compensate for the causal relationship of the thermal hysteresis effect, allowing the correction action to act on a more suitable processing source.

[0050] Furthermore, this embodiment introduces two types of adjustment methods: power adjustment and speed adjustment, providing greater freedom for process window optimization. Power adjustment is a variable adjustment of heat intensity, suitable for fine-tuning heat flux density, with a relatively fast response speed, but limited by the physical output capacity of the heating element. Speed ​​adjustment is a variable adjustment of heating time, which changes the residence time of the material in each processing stage, effectively changing the total heat absorption. Its adjustment range is wider, but it directly affects the production cycle. In actual implementation, the system can automatically select an adjustment strategy based on the degree of deviation: for small deviations, process correction power is used first for fine compensation to maintain stable production speed; when the deviation exceeds a preset threshold or the power adjustment reaches the set upper limit, the conveying speed is adjusted in conjunction to bring the product quality back to the qualified range. It should be understood that the above reverse traceability mapping relationship and dual adjustment logic are not only applicable to food baking scenarios, but also to continuous heat treatment processes with heat transfer hysteresis effects, such as ceramic sintering, coating curing, and composite material molding. This application does not limit this application.

[0051] Example 4 like Figure 5 As shown in Example 3, this example further illustrates the specific method for obtaining material status feedback. Obtaining the status feedback of the material to be processed after it exits the furnace includes: acquiring image information of the material to be processed after exiting the furnace through an image acquisition component; identifying the surface color and bottom color of the material to be processed based on the image information, and using the surface color and bottom color as status feedback.

[0052] Specifically, this embodiment utilizes machine vision technology to transform traditional qualitative evaluations relying on human sensory judgment into quantifiable digital signals, thereby providing an objective and real-time data foundation for the aforementioned process correction power adjustment. The image acquisition component is typically located at the furnace outlet or cooling section inlet of a continuous heating device. This location is at the end of the heat treatment process, where the physicochemical changes of the material are largely complete and the state is relatively stable. Therefore, the acquired image information can better reflect the cumulative effect of the processing. In terms of hardware, the image acquisition component may include an industrial camera, a lens, and a supporting light source system. To improve recognition accuracy, the light source system preferably adopts an active illumination structure such as a ring light source, a strip light source, or a diffuse reflection light source to reduce the impact of ambient light fluctuations on image quality. For scenarios requiring simultaneous detection of both the surface and the bottom, cameras can be installed above and below the conveyor belt; or, when the conveyor belt uses a translucent material or a perforated structure, a single-sided camera combined with a reflector can achieve simultaneous double-sided acquisition.

[0053] In terms of image processing and recognition, the system first preprocesses the acquired raw images, such as denoising, distortion correction, and white balance adjustment, to improve the robustness of subsequent algorithms. Then, a preset region of interest extraction algorithm is used to locate the effective detection area of ​​the material, eliminating non-target pixels such as background, tray, or mold edges. In the color recognition stage, the system does not directly use the original RGB values ​​as the sole criterion, but instead converts the image to a color space that better matches visual perception characteristics, such as HSV, HSL, or CIELAB color spaces. In these color spaces, the hue component can be used to represent color category, such as golden yellow or burnt brown; the saturation component can be used to represent color purity; and the brightness component can be used to represent lightness or darkness. By statistically analyzing the hue, saturation, and brightness of each pixel within the effective area, such as calculating the weighted average, median, or standard deviation, a digital feature vector representing the current surface and bottom color of the material can be obtained. This feature vector constitutes the aforementioned state feedback signal and is transmitted to the control unit in real time for comparison with the target process parameters.

[0054] The aforementioned feedback mechanism based on image acquisition and recognition can reduce the problems of lag, subjectivity, and insufficient sample coverage associated with manual sampling. In continuous high-speed production, manual observation may be affected by fatigue or experience differences, and it is difficult to achieve full-volume inspection; machine vision systems, on the other hand, can continuously inspect products leaving the furnace within a short response cycle and quantify subtle color deviations into numerical signals. This not only provides a basis for the automated execution of the reverse traceability correction strategy described in Example 3, but also provides a data source for establishing a long-term process quality database, facilitating further optimization of the ratio of steady-state reference power to dynamic feedback power through subsequent data analysis. It should be understood that although this embodiment uses color recognition as an example, in other application scenarios, the image acquisition component can also be configured to recognize surface textures, cracks, bubbles, dimensional deformations, and other appearance features of materials; as long as these features can reflect processing quality and guide process correction, they can all be used as status feedback information in this application.

[0055] Example 5 Building upon Example 3, this example further illustrates the automatic matching and switching logic of temperature control parameters based on material specifications. The specification parameters of the material to be processed are obtained; based on these parameters, the conveying speed, target temperature, and power output ratio of the upper and lower heating units for each processing stage are automatically matched and switched.

[0056] Specifically, this embodiment focuses on the adaptive configuration capability of continuous heating equipment when changing production varieties or batches. This capability has a different control focus from the real-time process correction performed on the same specification material during continuous production in Embodiment 3. Embodiment 3 pertains to dynamic fine-tuning during operation, mainly used to eliminate quality deviations caused by environmental fluctuations or equipment drift; this embodiment, on the other hand, pertains to static or quasi-static parameter reconstruction during production changeover, mainly used to establish a new baseline process window based on the inherent physical properties of the new material. Specification parameters are key input variables characterizing the thermal properties of the material to be processed, and may include, but are not limited to, the weight of a single piece of material, geometric dimensions such as thickness and diameter, mold material and shape, initial moisture content or density, etc. These parameters affect the heat capacity, heat conduction path, and reaction kinetics of the material during heating, and therefore can serve as an important basis for determining the temperature control strategy.

[0057] At the execution level of automatic matching and switching, the system does not simply call pre-stored fixed values, but establishes a mapping mechanism from specification parameters to control variables. Upon acquiring new specification parameters, the control unit first identifies the process category to which the material belongs, and then determines the basic thermal requirements for each processing stage. For conveying speed, the system can automatically calculate the appropriate linear speed based on the material's thermal diffusivity and the target degree of ripening; for example, when the material's thickness or weight increases, the heat conduction path becomes longer, and the system can reduce the conveying speed to extend the effective heating time. For the target temperature, the system can set the reference temperature for each temperature control zone based on the material's phase transition point or Maillard reaction threshold to reduce the risk of surface charring due to excessively high temperatures or internal undercooking due to excessively low temperatures. Regarding the power output ratio of the upper and lower heating units, the system can perform differentiated configurations based on the material's geometry and thermal sensitivity; for example, for materials with a thicker bottom or poor mold thermal conductivity, the power ratio of the lower heating unit is automatically increased in the first processing stage to enhance bottom penetration heating; for materials with a large surface area and easy coloring, the upper heating unit's output limit is automatically adjusted in the third processing stage to reduce the possibility of over-baking. The above-mentioned automatic matching process can be based on searching and matching in a pre-set database, or it can be based on real-time calculation using a thermal model, or a combination of both. This application does not limit this approach.

[0058] As an optional implementation, automatic matching can also incorporate interpolation algorithms or machine learning models to handle non-standard material specifications. When the input specification parameters fall between two known standard specifications, the system generates transitional parameters suitable for the current material by weighted interpolation of the control parameters of adjacent standard specifications, thereby reducing manual readjustment. Alternatively, the system can utilize a predictive model trained on historical production data to directly predict suitable conveying speed, temperature curves, and power allocation ratios based on newly input specification parameters, and achieve rapid convergence during the trial production phase using the correction mechanism described in Example 3. This approach is beneficial for improving the equipment's adaptability to multi-variety, small-batch production modes.

[0059] Through the aforementioned automatic matching and switching logic based on specification parameters, continuous heating equipment can improve its flexibility in adapting to different material specifications. In traditional models, each production changeover typically requires experienced operators to perform multiple trial adjustments, which is time-consuming and inconsistent. In this embodiment, the system digitizes process knowledge and embeds it into the control logic, allowing for the reconstruction and distribution of corresponding process parameters after acquiring the specification parameters. This not only shortens changeover preparation time and reduces material loss during commissioning, but also reduces process fluctuations caused by differences in human experience, enabling materials of different specifications to be processed within their corresponding thermal windows, thereby improving the flexibility of the production line and the stability of product quality. It should be understood that although this embodiment uses weight and dimensions in food baking as examples, in other application scenarios such as chemical material drying and electronic component curing, specification parameters can be replaced with corresponding physical quantities such as viscosity, particle size, and coating thickness; as long as the parameter can characterize the thermal properties of the material and guide the automatic switching of temperature control strategies, it is applicable to this application.

[0060] Example 6 like Figure 8 As shown, this embodiment provides a zoned temperature control system for a continuous heating device. The system includes a memory and a processor. When the processor executes a program in the memory, it implements the zoned temperature control method as described in any one of embodiments 1 to 5 above.

[0061] Specifically, this embodiment solidifies the aforementioned method flow into executable computational logic, providing an intelligent control core for continuous heating equipment. The memory, as the medium carrying data and instructions, internally stores computer program instructions for implementing the zoned temperature control method, as well as various process data required to support the operation of this method. The process data may include, but is not limited to, target temperature curves for each processing stage, a reference power ratio table for the upper and lower heating units, conveying speed parameters corresponding to different material specifications, image recognition algorithm model weights, and status feedback records from historical production processes. In terms of hardware, the memory may include non-volatile storage media for persistently storing program and recipe data, such as flash memory, EEPROM, or hard disks, or high-speed volatile storage media for temporarily storing intermediate variables, sensor sampling values, and image caches during runtime, such as RAM or DDR SDRAM. This hierarchical storage structure balances the long-term reliable preservation of process recipes with the data read / write requirements during real-time control.

[0062] The processor, as the system's computation and control hub, communicates with the memory, temperature detection components, image acquisition components, and heating unit drive circuits via a bus. When the processor loads and executes the program in the memory, it can periodically complete the following operations according to a preset timing logic: First, it determines the current processing stage of the material to be processed based on the conveyor belt encoder signal or position sensor data; second, it retrieves the corresponding upper and lower power allocation strategy from the memory based on the current processing stage and generates independent control instructions; third, it executes three power calculation tasks in parallel or in a time-sharing manner, namely, outputting a steady-state reference power component, a dynamic feedback power component calculated in real time based on the ambient temperature deviation, and a process correction power component based on the feedback of the furnace material status or external instruction updates; finally, it converts the superimposed total power instruction into physical drive signals, such as PWM duty cycle, analog voltage, or gas valve opening, and sends them to the corresponding upper and lower heating units. It should be understood that the processor can be a general-purpose microprocessor, such as an ARM or x86 architecture CPU, or a combination of one or more of a digital signal processor (DSP), a field-programmable gate array (FPGA), or an application-specific integrated circuit (ASIC). In applications with high real-time requirements, processors with hardware floating-point units or multi-core parallel processing capabilities can be selected to complete tasks such as temperature closed-loop calculation, image feature extraction, and power decoupling superposition within a preset control cycle, thereby reducing the impact of computational latency on temperature control accuracy.

[0063] Through the aforementioned system architecture, this application transforms the three-level power decoupling control and staged asymmetric temperature control strategy into executable hardware control behavior. The memory and processor work together to enable the device not only to maintain a stable basic thermal environment within the furnace cavity but also to respond to changes in material state and process adjustment needs without significantly disrupting the steady-state environment. Simultaneously, modular programming combined with structured data storage allows the system to quickly switch between process windows for different material specifications and provides a scalable software foundation for subsequent optimization of steady-state reference power or updating of image recognition models through machine learning. This hardware-software integrated system design helps ensure that continuous heating equipment achieves high-precision and high-consistency zoned temperature control under high-speed, continuous production conditions.

[0064] Example 7 This embodiment provides a continuous heating device. The device includes a furnace body, a conveyor belt, an upper heating unit, a lower heating unit, and a zoned temperature control system as described in Embodiment 6 above.

[0065] Specifically, this embodiment applies the aforementioned zoned temperature control method and system to specific industrial terminal equipment, supporting the realization of multi-level power output and independent zoned adjustment at the hardware architecture level. The furnace body, as the cavity for the heat treatment process, is internally divided into multiple physically isolated or semi-isolated temperature control zones along the conveying direction. Each temperature control zone constitutes a relatively independent thermal control unit. To support high-precision zoned temperature control, the furnace body can employ a multi-layer composite insulation structure to reduce heat loss, and heat insulation baffles or air curtains can be installed between adjacent temperature control zones to reduce lateral heat conduction and airflow crosstalk between temperature zones, enabling the thermal environment within each temperature control zone to better respond to independent control commands. This physical thermal field decoupling structure helps to achieve stable output of steady-state reference power and accurate adjustment of dynamic feedback power in the aforementioned control logic.

[0066] The conveyor belt runs through the interior of the furnace, carrying the material to be processed continuously through each temperature control zone. In this embodiment, the conveyor belt is not only a mechanical transmission component but also serves as an execution and feedback link in the zone temperature control system. The drive mechanism of the conveyor belt preferably uses a variable frequency motor or a servo motor and is communicatively connected to the processor in the zone temperature control system. On one hand, the processor can issue speed commands in real time according to the current processing stage or process correction strategy to control the linear speed of the conveyor belt, thereby realizing the speed adjustment function based on state feedback described in Embodiment 3. On the other hand, the encoder or position sensor on the conveyor belt can provide real-time feedback to the system on the actual displacement and running status of the material, providing a timing reference for determining the current processing stage of the material to be processed in Embodiment 1. It should be understood that the specific form of the conveyor belt can be selected according to the material characteristics, such as a mesh belt, plate chain, roller conveyor, or Teflon belt, as long as it can achieve continuous conveying and be linked with the control system.

[0067] The upper and lower heating units are respectively located at the top and bottom of each temperature control zone to provide the heat energy required for heat treatment to the materials. To achieve the independent adjustment of power output ratio and three-level power decoupling described in Embodiments 1 and 2, the upper and lower heating units should preferably have independent electrical or fluid control interfaces. Specifically, for electric heating equipment, the upper and lower heating branches of each temperature control zone can be configured with independent solid-state relays, thyristor power regulators, or power electronic conversion modules, enabling the system to apply PWM modulation or phase control to each heating element individually, thereby superimposing three power components—steady-state reference, dynamic feedback, and process correction—within a preset control cycle. For gas heating equipment, the upper and lower combustion components can be configured with proportional regulating valves or stepper motor-driven gas valve groups to continuously adjust the gas flow rate and air-fuel ratio according to control commands, achieving graded output of combustion intensity. This independent controllability at the hardware level can overcome the limitations of traditional equipment with linked upper and lower heating or overall adjustment, enabling the equipment to execute an asymmetric temperature control strategy of strong lower heating and weak upper heating in the first processing stage, coordinated and balanced heating in the second processing stage, and strong upper heating and weak lower heating in the third processing stage.

[0068] The zoned temperature control system, serving as the equipment's control hub, is connected to the furnace body sensors, conveyor belt drivers, and actuators of each heating unit via an industrial bus or hardwired connection. This system collects real-time images of the furnace's ambient temperature, material position, and furnace exit status, and generates multi-dimensional heating control signals and speed adjustment signals based on its built-in control program. Through this hardware and software integration, the continuous heating equipment provided in this embodiment possesses adaptive and self-calibrating capabilities during thermal processing. Its hardware architecture supports the control logic of the aforementioned method embodiments and helps alleviate the temperature control lag problem caused by the large thermal inertia of continuous heating equipment. It also improves the equipment's compatibility with materials of different specifications and the consistency of product quality during continuous production, providing end-users with an implementable physical equipment solution.

[0069] Example 8 This embodiment provides a comprehensive implementation example of a continuous cake baking application scenario, illustrating the application of the aforementioned zoned temperature control method in actual production in conjunction with specific process parameters and control procedures. It should be understood that the specific values ​​such as temperature, speed, and power ratio mentioned below are merely examples to facilitate understanding of the technical solution of this application and are not intended to limit the scope of protection of this application. In practical applications, adjustments can be made according to the type of cake, mold specifications, and equipment characteristics.

[0070] In this application scenario, the material to be processed is cake batter, and the continuous heating equipment is a tunnel-type cake oven. Before production begins, the operator inputs or selects the specifications of the cake to be produced through a human-machine interface, such as a sponge cake with a single weight of 60g and a mold size of 5cm×5cm×3cm. Based on these specifications, the system automatically matches and switches the conveyor speed, target temperature, and power output ratio of the upper and lower heating units for each processing stage. Specifically, the system calls a preset sponge cake process model, determines the conveyor belt's actual production speed to be 12m / min, the target temperature for the first processing stage to be 170℃, the target temperature for the second processing stage to be 190℃, and the target temperature for the third processing stage to be 210℃, and automatically generates the corresponding initial power settings for the three stages. This automatic matching mechanism reduces the uncertainty of manual experience-based adjustments and helps ensure the consistency of the process baseline when switching between different product specifications.

[0071] Before formal material feeding, the system executes a startup calibration process. The control unit first drives the heating elements to raise the temperature of each temperature-controlled zone to the preset temperature, and after the temperature stabilizes, controls the conveyor belt to run at a pre-running speed of 4 m / min. At this time, a small amount of trial-processed cake batter enters the oven for trial baking. After exiting the oven, the image acquisition component identifies the surface and bottom color of the trial product, and combines it with the internal structure obtained by manual sampling to generate detection results. If the detection finds that the center temperature of the trial product is too low and the volume expansion is insufficient, the system can determine that the steady-state reference power is insufficient to support the current environmental heat dissipation and material heat absorption requirements, and automatically increases the steady-state reference power of the first processing stage by 5%, while increasing the dynamic feedback gain coefficient of the second processing stage by 10%. After passing the second trial production verification, the system smoothly increases the conveyor belt speed to the formal production speed of 12 m / min, and uses the corrected power parameters as the mass production reference. This process can reduce the thermal uncertainty caused by cold start-up and improve the quality stability of the first batch of mass-produced products.

[0072] After entering formal continuous production, the cake batter goes through three processing stages in sequence with the conveyor belt. Each processing stage reflects the synergistic effect of three-level power decoupling and asymmetric temperature control.

[0073] In the first processing stage, namely the expansion and setting period, the power output of the lower heating unit under system control is greater than that of the upper heating unit. For example, the lower heating unit is set to account for 60% of the total power, and the upper heating unit for 40%. Among them, the steady-state reference power accounts for the main output proportion, for example, about 55% of the total output in this area, to maintain the basic thermal balance of the furnace cavity; the dynamic feedback power is finely adjusted according to the real-time thermocouple readings, for example, about 35%, to suppress temperature fluctuations caused by air intake and exhaust; the process correction power can be set to zero or a small value, for example, not exceeding 10%. From a thermal mechanism perspective, strengthening bottom heating allows heat to be preferentially conducted to the bottom of the slurry through the metal mold, causing the gas inside the slurry to expand and conduct upward, forming a better longitudinal expansion force; at the same time, the relatively mild upper thermal radiation can reduce the possibility of premature skinning and hardening of the slurry surface, reserving space for internal expansion, thereby improving the problems of top cracking or insufficient expansion that may be caused by traditional uniform heating.

[0074] In the second processing stage, namely the dehydration and maturation period, the system controls the upper and lower heating units to output power in a coordinated manner according to a preset ratio, for example, setting the upper and lower power ratio to 1:1. The proportion of dynamic feedback power in this stage can be increased accordingly, for example, to about 45%. This is because as wet and cold materials continue to enter, the heat load fluctuation inside the oven increases, requiring closed-loop regulation to maintain a constant temperature environment; the steady-state reference power maintains a stable output, for example, about 45%; and the process correction power is maintained at a low level, for example, about 10%. By forming a more balanced heat field distribution, the moisture inside the cake can migrate and be discharged more evenly from the inside out, and starch gelatinization and protein denaturation reactions proceed simultaneously, thereby reducing the risk of localized overheating causing the outside to burnt while the inside remains raw, or uneven heating causing the cake to collapse.

[0075] In the third processing stage, the surface coloring stage, the system reverses the power distribution, controlling the power output of the upper heating unit to be greater than that of the lower heating unit, for example, setting the upper heating unit to account for 75% and the lower heating unit for 25%. At this time, the process correction power is the key adjustment variable. The image acquisition component monitors the surface color L* value and bottom color b* value of the baked cake in real time. When the surface color L* value is detected to be higher than the target range, i.e., the color is too light, the system determines that the coloring intensity is insufficient and increases the process correction power output of the upper heating unit in the third processing stage, for example, by adding an additional 8% PWM duty cycle, or by fine-tuning the conveyor speed within the allowable range to extend the coloring time. Conversely, if the bottom color is detected to be too dark, the system retrospectively adjusts the steady-state reference power of the first processing stage or reduces the overall conveyor speed, rather than directly reducing the bottom fire of the third processing stage, to avoid affecting the current surface thermal balance. The above-mentioned reverse traceability correction based on final state feedback can compensate for process drift caused by batch differences in raw materials or changes in environmental temperature and humidity, so that the baked cake maintains a more uniform color and a more stable internal structure. In summary, this embodiment maps the physicochemical changes during cake baking into a staged asymmetric temperature control strategy and decouples the total heating power into three functionally distinct dimensions, achieving a combination of stable thermal environment control and fine process adjustment during continuous production. Compared to the traditional single PID temperature control method, this scheme helps reduce the scrap rate and improve product quality consistency, demonstrating the application value of this technical solution in the field of continuous heat treatment of food.

[0076] The above description is merely a specific embodiment of this application and is not intended to limit the scope of protection of this application. For those skilled in the art, without departing from the technical concept of this application, several changes, substitutions, or equivalent modifications can be made based on the continuous heating equipment zoned temperature control principle, three-level power decoupling logic, and staged asymmetric temperature control strategy disclosed in this application. For example, the above control method can be applied to other types of continuous heat treatment equipment, using different sensor combinations to obtain state feedback, or using other algorithm models to achieve decoupling and correction of the power dimension. All the above changes, substitutions, or equivalent modifications should fall within the scope of protection of this application, and the scope of protection of this application should be determined by the scope defined in the claims.

Claims

1. A zoned temperature control method for a continuous heating device, applied to the continuous heating device, the continuous heating device comprising a plurality of temperature control zones arranged sequentially along the conveying direction, each temperature control zone being equipped with an upper heating unit and a lower heating unit, characterized in that, The method includes: Determine the current processing stage of the material to be processed within the continuous heating equipment; Based on the aforementioned processing stage, the power output ratio of the upper heating unit and the lower heating unit can be independently adjusted; The total heating power of at least one of the temperature control zones is decoupled into steady-state reference power, dynamic feedback power, and process correction power, and the corresponding heating unit is controlled to perform heating output based on the steady-state reference power, the dynamic feedback power, and the process correction power.

2. The zoned temperature control method according to claim 1, characterized in that, The heating unit, which controls the steady-state reference power, the dynamic feedback power, and the process correction power, performs heating output, including: The heating unit is controlled to continuously output the steady-state reference power; The ambient temperature detection result within the temperature control zone is obtained, and the dynamic feedback power is adjusted in a closed loop based on the deviation between the ambient temperature detection result and the target temperature. The status feedback or external process command of the material to be processed after it exits the furnace is obtained, and the process correction power is adjusted in an open-loop or semi-closed-loop manner based on the status feedback or the external process command.

3. The zoned temperature control method according to claim 1, characterized in that, The processing stages include a first processing stage, a second processing stage, and a third processing stage performed sequentially along the conveying direction; The step of independently adjusting the power output ratio of the upper heating unit and the lower heating unit based on the processing stage includes: In the first processing stage, the power output of the lower heating unit is controlled to be greater than the power output of the upper heating unit; In the second processing stage, the upper heating unit and the lower heating unit are controlled to output in coordination according to a preset ratio; In the third processing stage, the power output of the upper heating unit is controlled to be greater than the power output of the lower heating unit.

4. The zoned temperature control method according to claim 2, characterized in that, The processing stages include a first processing stage, a second processing stage, and a third processing stage performed sequentially along the conveying direction; The process correction power adjustment, based on the state feedback or the external process command, in open-loop or semi-closed-loop manner, includes: When the status feedback indicates that the surface state of the material to be processed deviates from the target surface state, the process correction power corresponding to the third processing stage is adjusted, or the conveying speed of the material to be processed is adjusted. When the status feedback indicates that the bottom state of the material to be processed deviates from the target bottom state, the process correction power corresponding to the first processing stage or the second processing stage is adjusted, or the conveying speed is adjusted.

5. The zoned temperature control method according to claim 4, characterized in that, The step of obtaining status feedback of the material to be processed after it exits the furnace includes: Image information of the material to be processed after exiting the furnace is obtained through an image acquisition component; The surface color and bottom color of the material to be processed are identified based on the image information, and the surface color and bottom color are used as the status feedback.

6. The zoned temperature control method according to claim 3, characterized in that, The method further includes: Obtain the specifications and parameters of the material to be processed; Based on the specifications, the conveying speed, target temperature, and power output ratio of the upper heating unit and the lower heating unit are automatically matched and switched for each processing stage.

7. The zoned temperature control method according to claim 1, characterized in that, The method further includes: Before the formal feeding, the continuous heating equipment is controlled to preheat, and after each temperature control zone reaches the preset temperature, the conveyor belt is controlled to run at the pre-running speed. During the operation of the conveyor belt at the pre-operating speed, the test-processed material is subjected to trial baking, and the test results of the test-processed material are obtained; Based on the detection results, the steady-state reference power, the dynamic feedback power, and the process correction power are corrected, and when the corrected parameters meet the preset process requirements, the speed of the conveyor belt is increased to the formal production speed.

8. The zoned temperature control method according to claim 1, characterized in that, Both the upper heating unit and the lower heating unit include an electric heating branch or a gas combustion assembly; The heating unit, which controls the steady-state reference power, the dynamic feedback power, and the process correction power, performs heating output, including: By adjusting the on / off state and power output ratio of the electric heating branch, or by adjusting the gas supply and combustion intensity of the gas combustion assembly, the output of the steady-state reference power, the dynamic feedback power, and the process correction power can be achieved.

9. A zoned temperature control system for a continuous heating device, characterized in that, It includes a memory and a processor, wherein the processor executes a program in the memory to implement the partitioned temperature control method as described in any one of claims 1 to 8.

10. A continuous heating device, characterized in that, It includes a furnace body, a conveyor belt, an upper heating unit, a lower heating unit, and a zoned temperature control system as described in claim 9.

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