A tunnel furnace temperature and humidity control system and method for coil disc processing

Abstract

The present invention discloses a tunnel furnace temperature and humidity control system and method for coil disk processing, including: a multi-region temperature and humidity control module, an intelligent control center, a data acquisition and analysis module, and an inter-regional collaborative control module; the multi-region temperature and humidity control module includes a partitioned temperature and humidity sensor group and an independent control execution unit to realize the control of temperature and humidity in different regions of the tunnel furnace; the heater, humidifier and cooling device equipped in each region of the tunnel furnace can independently respond to the control requirements; the intelligent control center is based on a neural network and fuzzy control algorithm module, which is used to dynamically adjust the temperature and humidity set values ​​of each region, and compare the real-time monitoring data with the process target value to generate an optimization control instruction. In the present invention, each region is equipped with an independent temperature and humidity sensor and a control execution unit, which can adjust the working state of the heating, humidification and cooling devices according to actual needs to ensure that the temperature and humidity of each region are in an ideal state.

Description

Technical Field

[0001] The invention relates to the technical field of coil disk tunnel furnaces, and in particular to a tunnel furnace temperature and humidity control system and method for coil disk processing. Background Art

[0002] In the modern coil processing, the tunnel furnace is a key equipment for heating, drying, annealing and other process steps. The temperature and humidity environment in the tunnel furnace has a direct impact on the quality and processing efficiency of the coil. Traditional tunnel furnace temperature and humidity control systems often have the following problems: 1. Uneven distribution of temperature and humidity: The tunnel furnace is usually divided into multiple processing areas. The temperature and humidity control of different areas depends on a single control device and sensor, which leads to large fluctuations in local temperature and humidity, affecting the processing accuracy and quality; 2. Slow response and inflexibility: Existing temperature and humidity control systems usually use a simple PID control method, which cannot respond to temperature and humidity changes in real time, and lacks adaptive capabilities, and cannot dynamically adjust control parameters according to different processing requirements; 3. Large differences in temperature and humidity between regions: The temperature and humidity changes in different regions of the tunnel furnace may cause temperature and humidity differences between different regions due to factors such as heat and moisture flow. This difference not only affects the stability of the processing operation, but may also cause fluctuations in product quality.

[0003] In view of the above problems, modern tunnel furnaces need to have efficient, accurate and flexible temperature and humidity control capabilities, especially the increasing demand for independent temperature and humidity control, dynamic adjustment and abnormal monitoring in multiple zones. Therefore, a temperature and humidity control system with multi-zone temperature and humidity control, intelligent control, coordinated control and diagnosis mechanism is proposed, which can improve production efficiency while ensuring processing accuracy. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the problems existing in the above-mentioned existing tunnel furnace temperature and humidity control system and method for coil disk processing, the present invention is proposed.

[0006] Therefore, the purpose of the present invention is to provide a tunnel furnace temperature and humidity control system and method for coil disk processing, wherein each area is equipped with an independent temperature and humidity sensor and a control execution unit, which can adjust the working state of the heating, humidification and cooling devices according to actual needs to ensure that the temperature and humidity in each area are in an ideal state.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a tunnel furnace temperature and humidity control system for coil disk processing, comprising: Multi-region temperature and humidity control module, intelligent control center, data collection and analysis module and inter-regional collaborative control module; The multi-zone temperature and humidity control module includes a zoned temperature and humidity sensor group and an independent control execution unit to realize the control of temperature and humidity in different zones of the tunnel furnace; the heater, humidifier and cooling device equipped in each zone of the tunnel furnace can independently respond to the control needs; The intelligent control center is based on the algorithm module of neural network and fuzzy control, which is used to dynamically adjust the temperature and humidity set values ​​of each area, and generate optimized control instructions by comparing the real-time monitoring data with the process target value; The algorithm module is based on the fusion algorithm of fuzzy control and PID control, including: Fuzzy control part: The goal of the fuzzy controller is to generate a fuzzy control output (U) based on the temperature error (E) and the error change rate (ΔE), which will serve as the input of the PID controller; Input variables: E: Current temperature and humidity deviation; ΔE: rate of change of temperature and humidity deviation; Output variables: U: Adjustment amount, indicating the heating power or humidification / dehumidification demand that needs to be adjusted; PID control part: Based on the fuzzy control output U, a PID controller is used to make detailed adjustments to accurately control the system; The PID controller has the form: , in: is the current temperature and humidity deviation; is the proportional gain; is the integral gain; is the differential gain; The data acquisition and analysis module uses high-speed acquisition equipment to obtain temperature, humidity, and coil disk status data; The inter-regional collaborative control module introduces a cross-compensation mechanism to ensure smooth transition of temperature and humidity at the region boundaries; The system has a built-in intelligent diagnostic module to detect temperature and humidity anomalies in real time. When an anomaly occurs, the alarm mechanism is triggered and the operating status data is uploaded to the cloud.

[0008] A method for controlling temperature and humidity of a tunnel furnace for coil disc processing, comprising the following steps: Step 1: Area division and initial parameter setting: According to the coil processing requirements in the tunnel furnace, the tunnel furnace is divided into multiple temperature and humidity control areas including preheating area, processing area and cooling area; the target temperature and humidity range of each area is initialized, and the initial value is set based on the material characteristics and processing requirements; Step 2: Real-time monitoring and data processing: The temperature and humidity sensor group is used to collect environmental data of each area, including temperature, humidity, and air flow rate; The data is transmitted to the control center via a high-speed data bus for filtering and denoising, and the deviation value of each area is calculated; Step 3: Dynamic Control Mechanism: An algorithm based on the fusion of fuzzy control and PID control is used to calculate the heating power and humidification / dehumidification requirements of each area: The fuzzy control module dynamically adjusts the PID control parameters according to the real-time deviation and change trend; The PID control module outputs specific control signals to drive the actuator to respond; Step 4: Regional distribution and collaborative control: For each zone, the corresponding control device is activated according to the real-time demand, while considering the following mechanisms: Boundary compensation control: If the temperature and humidity in a certain area are significantly higher than those in adjacent areas, the control algorithm will achieve a smooth transition through boundary devices; Step 5: Exception handling and alarm: The system has a built-in intelligent diagnostic module to detect temperature and humidity anomalies in real time, including sensor failure or actuator failure. When an anomaly occurs, the alarm mechanism is triggered and the operating status data is uploaded to the cloud for engineers to analyze.

[0009] As a preferred solution of the method for controlling temperature and humidity of a tunnel furnace for coil disk processing described in the present invention, the fusion algorithm of fuzzy control and PID control in step three includes: Fuzzy control part: The goal of the fuzzy controller is to generate a fuzzy control output (U) based on the temperature error (E) and the error change rate (ΔE), which will serve as the input of the PID controller; Input variables: E: Current temperature and humidity deviation; ΔE: rate of change of temperature and humidity deviation; Output variables: U: Adjustment amount, indicating the heating power or humidification / dehumidification demand that needs to be adjusted; PID control part: Based on the fuzzy control output U, a PID controller is used to make detailed adjustments to accurately control the system; The PID controller has the form: , in: is the current temperature and humidity deviation; is the proportional gain; is the integral gain; is the differential gain.

[0010] As a preferred solution of the method for controlling the temperature and humidity of a tunnel furnace for coil disc processing described in the present invention, the fusion algorithm steps of the fuzzy control and PID control include: S1. Temperature and humidity error calculation: Calculate the current temperature and humidity deviation (E) and change rate (ΔE): , , in, is the target temperature; is the current actual temperature; S2, fuzzy control reasoning: According to the current error E and the rate of change ΔE, the corresponding rule is selected from the fuzzy rule base to obtain the fuzzy control output U; S3, PID control adjustment: The adjustment value U output by the fuzzy controller is used as the input of the PID controller to calculate the output value of the PID control: , S4, fusion output: The fuzzy controller output U is combined with the PID controller output u(t) to obtain the final adjustment value: , in, and is the weight coefficient, which is adjusted according to the system requirements. If the requirement for fast response is high, the weight of PID output is increased; if the requirement for robustness is high, the weight of fuzzy control output is increased; S5. Execute control commands: Final adjustment amount It will be used as a control signal for heating power and humidification / dehumidification requirements to drive the corresponding execution equipment.

[0011] As a preferred solution of the method for controlling temperature and humidity of a tunnel furnace for coil disc processing according to the present invention, the interactive mechanism of the fuzzy control includes: PID control is mainly used in the low error area: when the error E is small, PID control accuracy is higher, and fuzzy control is only used as an auxiliary; Fuzzy control is mainly used in high error areas: when the error E is large and the system response is lagging, fuzzy control can quickly adjust the strategy to reduce error fluctuations; Interaction formula: , and is a dynamic weight that satisfies: , Dynamic weight adjustment logic: , , in: is the error threshold, used to balance the dominance of the two; is the adjustment sensitivity coefficient.

[0012] As a preferred solution of the method for controlling temperature and humidity of a tunnel furnace for coil disc processing described in the present invention, the control signal switching mechanism of the fuzzy control includes: When the error E suddenly increases, the module control takes over directly and makes global adjustments; When the error E is stable or approaches zero, the fuzzy control returns to the auxiliary role and is precisely regulated by PID control; To set the switching threshold: ,when , fuzzy control dominated; ,when , PID control dominated.

[0013] As a preferred embodiment of the method for controlling the temperature and humidity of a tunnel furnace for coil disc processing according to the present invention, the fuzzy control output in step S3 is Can directly affect the proportional coefficient of PID , integral coefficient , differential coefficient , the adjustment formula is: , , , in, , and is the initial parameter of PID; , , It is the adjustment factor, which indicates the influence of fuzzy output on PID parameters.

[0014] As a preferred embodiment of the method for controlling the temperature and humidity of a tunnel furnace for coil disc processing according to the present invention, the boundary compensation control in step 4 includes dividing the tunnel furnace area into several sub-areas and setting the temperature and humidity target value of each area. and ; According to real-time monitoring data, the temperature and humidity values ​​of each area are dynamically adjusted, and the corresponding control equipment is automatically activated. The activation condition is: when the temperature and humidity deviation of a certain area exceeds the set threshold When , activate the corresponding control device; Temperature and humidity boundary difference monitoring: Calculate the temperature and humidity difference between each area and adjacent areas: , , Set the temperature and humidity difference threshold and ,When the temperature and humidity difference between the areas exceeds the threshold, the boundary compensation control is started.

[0015] As a preferred solution of the method for controlling the temperature and humidity of the tunnel furnace for coil disc processing described in the present invention, the control algorithm in the boundary compensation control includes: Temperature control, when the temperature of area i Higher than the temperature of the adjacent region j , and the temperature difference When the temperature is balanced, the boundary device needs to be used. The temperature balance control formula is: , in, is the temperature compensation coefficient, Between, temperature compensation is performed through boundary devices: Control signal = ;in is the temperature regulating factor; Humidity control, when the humidity in area i Higher humidity than adjacent area j , and the temperature difference When the temperature is balanced, the boundary device needs to be used. The temperature balance control formula is: , in, is the humidity compensation coefficient, Between, temperature compensation is performed through boundary devices: Control signal = ;in is the humidity adjustment factor.

[0016] As a preferred solution of the method for controlling temperature and humidity of the tunnel furnace for coil disk processing of the present invention, the boundary compensation control not only considers the temperature difference, but also the humidity difference. For the boundary device control signal of each area, the temperature and humidity adjustment requirements are comprehensively considered: , in, and is the weight coefficient of temperature and humidity, satisfying , which is used to balance the control needs of temperature and humidity. Through this weighted fusion, the temperature and humidity can be effectively compensated at the same time to avoid excessive regulation biased towards one side.

[0017] Beneficial effects of the present invention: The system realizes independent control of temperature and humidity in each area of ​​the tunnel furnace through a multi-area temperature and humidity control module. Each area is equipped with an independent temperature and humidity sensor and a control execution unit, which can adjust the working state of the heating, humidification and cooling devices according to actual needs to ensure that the temperature and humidity of each area are in an ideal state. This refined control can greatly improve the quality consistency during the coil disk processing process; the intelligent control center in the system adopts a control module based on a neural network and a fuzzy control algorithm, which can compare the real-time collected temperature and humidity data with the set process target value to generate the optimal control instruction. This intelligent control can not only dynamically adjust the temperature and humidity set values ​​of each area, but also optimize the control strategy in real time according to the temperature and humidity change trend during the processing process, and improve the efficiency and stability of the overall heating and drying process; introduce an inter-area collaborative control module and a cross-compensation mechanism to ensure smooth temperature and humidity transitions in each area of ​​the tunnel furnace, especially at the boundaries of the areas. Through the boundary compensation mechanism, the problem of uneven processing caused by excessive temperature and humidity differences is avoided, the uniform distribution of temperature and humidity during the coil disk processing is guaranteed, and the product quality and processing accuracy are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them: Figure 1The present invention is a schematic diagram of a system for controlling temperature and humidity of a tunnel furnace for coil disk processing and a method thereof. DETAILED DESCRIPTION

[0019] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0020] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0021] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0022] Secondly, the present invention is described in detail with reference to the schematic diagram. When describing the embodiments of the present invention in detail, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0023] Reference Figure 1 , provides a tunnel furnace temperature and humidity control system for coil disc processing, including: Multi-region temperature and humidity control module, intelligent control center, data collection and analysis module and inter-regional collaborative control module; The multi-zone temperature and humidity control module includes a zoned temperature and humidity sensor group and an independent control execution unit to realize the control of temperature and humidity in different zones of the tunnel furnace; the heater, humidifier and cooling device equipped in each zone of the tunnel furnace can independently respond to the control needs; The intelligent control center is based on the algorithm module of neural network and fuzzy control, which is used to dynamically adjust the temperature and humidity set values ​​of each area, and generate optimized control instructions by comparing the real-time monitoring data with the process target value; Among them, the algorithm module is based on the fusion algorithm of fuzzy control and PID control, including: Fuzzy control part: The goal of the fuzzy controller is to generate a fuzzy control output (U) based on the temperature error (E) and the error change rate (ΔE), which will serve as the input of the PID controller; Input variables: E: Current temperature and humidity deviation; ΔE: rate of change of temperature and humidity deviation; Output variables: U: Adjustment amount, indicating the heating power or humidification / dehumidification demand that needs to be adjusted; PID control part: Based on the fuzzy control output U, a PID controller is used to make detailed adjustments to accurately control the system; The PID controller has the form: , in: is the current temperature and humidity deviation; is the proportional gain; is the integral gain; is the differential gain; The data acquisition and analysis module uses high-speed acquisition equipment to obtain temperature, humidity, and coil disk status data; The inter-regional collaborative control module introduces a cross-compensation mechanism to ensure smooth transition of temperature and humidity at the region boundaries; The system has a built-in intelligent diagnostic module to detect temperature and humidity anomalies in real time. When an anomaly occurs, the alarm mechanism is triggered and the operating status data is uploaded to the cloud.

[0024] Among them, a method for controlling the temperature and humidity of a tunnel furnace for coil disc processing includes the following steps: Step 1: Area division and initial parameter setting: According to the coil processing requirements in the tunnel furnace, the tunnel furnace is divided into multiple temperature and humidity control areas including preheating area, processing area and cooling area; the target temperature and humidity range of each area is initialized, and the initial value is set based on the material characteristics and processing requirements; Step 2: Real-time monitoring and data processing: The temperature and humidity sensor group is used to collect environmental data of each area, including temperature, humidity, and air flow rate; The data is transmitted to the control center via a high-speed data bus for filtering and denoising, and the deviation value of each area is calculated; Step 3: Dynamic Control Mechanism: An algorithm based on the fusion of fuzzy control and PID control is used to calculate the heating power and humidification / dehumidification requirements of each area: The fuzzy control module dynamically adjusts the PID control parameters according to the real-time deviation and change trend; The PID control module outputs specific control signals to drive the actuator to respond; Step 4: Regional distribution and collaborative control: For each zone, the corresponding control device is activated according to the real-time demand, while considering the following mechanisms: Boundary compensation control: If the temperature and humidity in a certain area are significantly higher than those in adjacent areas, the control algorithm will achieve a smooth transition through boundary devices; Step 5: Exception handling and alarm: The system has a built-in intelligent diagnostic module to detect temperature and humidity anomalies in real time, including sensor failure or actuator failure. When an anomaly occurs, the alarm mechanism is triggered and the operating status data is uploaded to the cloud for engineers to analyze.

[0025] Among them, the fusion algorithm of fuzzy control and PID control in step three includes: Fuzzy control part: The goal of the fuzzy controller is to generate a fuzzy control output (U) based on the temperature error (E) and the error change rate (ΔE), which will serve as the input of the PID controller; Input variables: E: Current temperature and humidity deviation; ΔE: rate of change of temperature and humidity deviation; Output variables: U: Adjustment amount, indicating the heating power or humidification / dehumidification demand that needs to be adjusted; PID control part: Based on the fuzzy control output U, a PID controller is used to make detailed adjustments to accurately control the system; The PID controller has the form: , in: is the current temperature and humidity deviation; is the proportional gain; is the integral gain; is the differential gain.

[0026] Furthermore, the steps of the fusion algorithm of fuzzy control and PID control include: S1. Temperature and humidity error calculation: Calculate the current temperature and humidity deviation (E) and change rate (ΔE): , , in, is the target temperature; is the current actual temperature; S2, fuzzy control reasoning: According to the current error E and the rate of change ΔE, the corresponding rule is selected from the fuzzy rule base to obtain the fuzzy control output U; S3, PID control adjustment: The adjustment value U output by the fuzzy controller is used as the input of the PID controller to calculate the output value of the PID control: , S4, fusion output: The fuzzy controller output U is combined with the PID controller output u(t) to obtain the final adjustment value: , in, and is the weight coefficient, which is adjusted according to the system requirements. If the requirement for fast response is high, the weight of PID output is increased; if the requirement for robustness is high, the weight of fuzzy control output is increased; S5. Execute control commands: Final adjustment amount It will be used as a control signal for heating power and humidification / dehumidification requirements to drive the corresponding execution equipment.

[0027] Among them, the interactive mechanism of fuzzy control includes: PID control is mainly used in the low error area: when the error E is small, PID control accuracy is higher, and fuzzy control is only used as an auxiliary; Fuzzy control is mainly used in high error areas: when the error E is large and the system response is lagging, fuzzy control can quickly adjust the strategy to reduce error fluctuations; Interaction formula: , and is a dynamic weight that satisfies: , Dynamic weight adjustment logic: , , in: is the error threshold, used to balance the dominance of the two; is the adjustment sensitivity coefficient.

[0028] Specifically, the control signal switching mechanism of fuzzy control includes: When the error E suddenly increases, the module control takes over directly and makes global adjustments; When the error E is stable or approaches zero, the fuzzy control returns to the auxiliary role and is precisely regulated by PID control; To set the switching threshold: ,when , fuzzy control dominated; ,when , PID control dominated.

[0029] Furthermore, the fuzzy control output in step S3 is Can directly affect the proportional coefficient of PID , integral coefficient , differential coefficient , the adjustment formula is: , , , in, , and is the initial parameter of PID; , , It is the adjustment factor, which indicates the influence of fuzzy output on PID parameters.

[0030] Example: Assume that the target temperature of a certain area of ​​the tunnel furnace is : Current Temperature ,error , higher than , analog control takes over; Fuzzy Control Calculation , drive heating power to increase, and adjust PID parameters at the same time , , ; Then the error gradually decreases to Enter fusion control and PID refinement adjustment. This design ensures efficient, robust and precise temperature and humidity control in different scenarios.

[0031] Among them, the boundary compensation control in step 4 includes dividing the tunnel furnace area into several sub-areas and setting the temperature and humidity target values ​​for each area. and ; According to real-time monitoring data, the temperature and humidity values ​​of each area are dynamically adjusted, and the corresponding control equipment is automatically activated. The activation condition is: when the temperature and humidity deviation of a certain area exceeds the set threshold When , activate the corresponding control device; Temperature and humidity boundary difference monitoring: Calculate the temperature and humidity difference between each area and adjacent areas: , , Set the temperature and humidity difference threshold and ,When the temperature and humidity difference between the areas exceeds the threshold, the boundary compensation control is started.

[0032] Furthermore, the control algorithm in the boundary compensation control includes: Temperature control, when the temperature of area i Higher than the temperature of the adjacent region j , and the temperature difference When the temperature is balanced, the boundary device needs to be used. The temperature balance control formula is: , in, is the temperature compensation coefficient, Between, temperature compensation is performed through boundary devices: Control signal = ;in is the temperature regulating factor; Humidity control, when the humidity in area i Higher humidity than adjacent area j , and the temperature difference When the temperature is balanced, the boundary device needs to be used. The temperature balance control formula is: , in, is the humidity compensation coefficient, Between, temperature compensation is performed through boundary devices: Control signal = ;in is the humidity adjustment factor.

[0033] Specifically, boundary compensation control not only considers temperature differences, but also humidity differences. For the boundary device control signal of each area, the temperature and humidity adjustment requirements are comprehensively considered: , in, and is the weight coefficient of temperature and humidity, satisfying , which is used to balance the control needs of temperature and humidity. Through this weighted fusion, the temperature and humidity can be effectively compensated at the same time to avoid excessive regulation biased towards one side.

[0034] Specific example: Assume that there are two adjacent areas in the tunnel furnace, and there are temperature and humidity differences between area 1 and area 2. The specific data are as follows: Zone 1 Temperature , Zone 2 Temperature , temperature difference , exceeding the set threshold ; Zone 1 Humidity , Zone 2 humidity , humidity difference , exceeding the set threshold ; According to the boundary compensation control algorithm, calculate: Temperature compensation: , assuming ,but ; Humidity compensation: , assuming ,but ; Comprehensive calculation of control signals of edge devices: , The boundary compensation control mechanism monitors and adjusts the temperature and humidity differences between areas to smooth the temperature and humidity transition and avoid uneven regulation in the system.

[0035] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A tunnel furnace temperature and humidity control system for coil disc processing, characterized in that: include: Multi-region temperature and humidity control module, intelligent control center, data collection and analysis module and inter-regional collaborative control module; The multi-zone temperature and humidity control module includes a zoned temperature and humidity sensor group and an independent control execution unit to realize the control of temperature and humidity in different zones of the tunnel furnace; the heater, humidifier and cooling device equipped in each zone of the tunnel furnace can independently respond to the control needs; The intelligent control center is based on the algorithm module of neural network and fuzzy control, which is used to dynamically adjust the temperature and humidity set values ​​of each area, and generate optimized control instructions by comparing the real-time monitoring data with the process target value; The algorithm module is based on the fusion algorithm of fuzzy control and PID control, including: Fuzzy control part: The goal of the fuzzy controller is to generate a fuzzy control output (U) based on the temperature error (E) and the error change rate (ΔE), which will serve as the input of the PID controller; Input variables: E: Current temperature and humidity deviation; ΔE: rate of change of temperature and humidity deviation; Output variables: U: Adjustment amount, indicating the heating power or humidification / dehumidification demand that needs to be adjusted; PID control part: Based on the fuzzy control output U, a PID controller is used to make detailed adjustments to accurately control the system; The PID controller has the form: , in: is the current temperature and humidity deviation; is the proportional gain; is the integral gain; is the differential gain; The data acquisition and analysis module uses high-speed acquisition equipment to obtain temperature, humidity, and coil disk status data; The inter-regional collaborative control module introduces a cross-compensation mechanism to ensure smooth transition of temperature and humidity at the region boundaries; The system has a built-in intelligent diagnostic module to detect temperature and humidity anomalies in real time. When an anomaly occurs, the alarm mechanism is triggered and the operating status data is uploaded to the cloud.

2. A method for controlling temperature and humidity of a tunnel furnace for coil disc processing, characterized in that: The following steps are involved: Step 1: Region division and initial parameter setting: According to the coil processing requirements in the tunnel furnace, the tunnel furnace is divided into multiple temperature and humidity control areas including preheating area, processing area and cooling area; the target temperature and humidity range of each area is initialized, and the initial value is set based on the material characteristics and processing requirements; Step 2: Real-time monitoring and data processing: The temperature and humidity sensor group is used to collect environmental data of each area, including temperature, humidity, and air flow rate; The data is transmitted to the control center via a high-speed data bus for filtering and denoising, and the deviation value of each area is calculated; Step 3: Dynamic Control Mechanism: An algorithm based on the fusion of fuzzy control and PID control is used to calculate the heating power and humidification / dehumidification requirements of each area: The fuzzy control module dynamically adjusts the PID control parameters according to the real-time deviation and change trend; The PID control module outputs specific control signals to drive the actuator to respond; Step 4: Regional distribution and collaborative control: For each zone, the corresponding control device is activated according to the real-time demand, while considering the following mechanisms: Boundary compensation control: If the temperature and humidity in a certain area are significantly higher than those in adjacent areas, the control algorithm will achieve a smooth transition through boundary devices; Step 5: Exception handling and alarm: The system has a built-in intelligent diagnostic module to detect temperature and humidity anomalies in real time, including sensor failure or actuator failure. When an anomaly occurs, the alarm mechanism is triggered and the operating status data is uploaded to the cloud for engineers to analyze.

3. The method for controlling temperature and humidity of a tunnel furnace for coil disc processing according to claim 2, characterized in that: The fusion algorithm of fuzzy control and PID control in step 3 includes: Fuzzy control part: The goal of the fuzzy controller is to generate a fuzzy control output (U) based on the temperature error (E) and the error change rate (ΔE), which will serve as the input of the PID controller; Input variables: E: Current temperature and humidity deviation; ΔE: rate of change of temperature and humidity deviation; Output variables: U: Adjustment amount, indicating the heating power or humidification / dehumidification demand that needs to be adjusted; PID control part: Based on the fuzzy control output U, a PID controller is used to make detailed adjustments to accurately control the system; The PID controller has the form: ， in: is the current temperature and humidity deviation; is the proportional gain; is the integral gain; is the differential gain.

4. The method for controlling temperature and humidity of a tunnel furnace for coil disc processing according to claim 3, characterized in that: The fuzzy control and PID control fusion algorithm steps include: S1. Temperature and humidity error calculation: Calculate the current temperature and humidity deviation (E) and change rate (ΔE): ， ， in, is the target temperature; is the current actual temperature; S2, fuzzy control reasoning: According to the current error E and the rate of change ΔE, the corresponding rule is selected from the fuzzy rule base to obtain the fuzzy control output U; S3, PID control adjustment: The adjustment value U output by the fuzzy controller is used as the input of the PID controller to calculate the output value of the PID control: ， S4, fusion output: The fuzzy controller output U is combined with the PID controller output u(t) to obtain the final adjustment value: ， in, and is the weight coefficient, which is adjusted according to the system requirements. If the requirement for fast response is high, the weight of PID output is increased; if the requirement for robustness is high, the weight of fuzzy control output is increased; S5. Execute control commands: Final adjustment amount It will be used as a control signal for heating power and humidification / dehumidification requirements to drive the corresponding execution equipment.

5. The method for controlling temperature and humidity of a tunnel furnace for coil disc processing according to claim 4, characterized in that: The interaction mechanism of the fuzzy control includes: PID control is mainly used in the low error area: when the error E is small, PID control accuracy is higher, and fuzzy control is only used as an auxiliary; Fuzzy control is mainly used in high error areas: when the error E is large and the system response is lagging, fuzzy control can quickly adjust the strategy to reduce error fluctuations; Interaction formula: ， and is a dynamic weight that satisfies: ， Dynamic weight adjustment logic: ， ， in: is the error threshold, used to balance the dominance of the two; is the adjustment sensitivity coefficient.

6. The method for controlling temperature and humidity of a tunnel furnace for coil disc processing according to claim 5, characterized in that: The control signal switching mechanism of fuzzy control includes: When the error E suddenly increases, the module control takes over directly and makes global adjustments; When the error E is stable or approaches zero, the fuzzy control returns to the auxiliary role and is precisely regulated by PID control; To set the switching threshold: ,when , fuzzy control dominated; ,when , PID control dominated.

7. The method for controlling temperature and humidity of a tunnel furnace for coil disc processing according to claim 4, characterized in that: In step S3, the fuzzy control output Can directly affect the proportional coefficient of PID , integral coefficient , differential coefficient , the adjustment formula is: ， ， ， in, , and is the initial parameter of PID; , , It is the adjustment factor, which indicates the influence of fuzzy output on PID parameters.

8. The method of the temperature and humidity control system of the tunnel furnace for coil disk processing according to claim 2, characterized in that: The boundary compensation control in step 4 includes dividing the tunnel furnace area into several sub-areas and setting the temperature and humidity target values ​​for each area. and ; According to real-time monitoring data, the temperature and humidity values ​​of each area are dynamically adjusted, and the corresponding control equipment is automatically activated. The activation condition is: when the temperature and humidity deviation of a certain area exceeds the set threshold When , activate the corresponding control device; Temperature and humidity boundary difference monitoring: Calculate the temperature and humidity difference between each area and adjacent areas: ， ， Set the temperature and humidity difference threshold and ,When the temperature and humidity difference between the areas exceeds the threshold, the boundary compensation control is started.

9. The method for controlling temperature and humidity of a tunnel furnace for coil disc processing according to claim 8, characterized in that: The control algorithms in boundary compensation control include: Temperature control, when the temperature of area i Higher than the temperature of the adjacent region j , and the temperature difference When the temperature is balanced, the boundary device needs to be used. The temperature balance control formula is: ， in, is the temperature compensation coefficient, Between, temperature compensation is performed through boundary devices: Control signal = ;in is the temperature regulating factor; Humidity control, when the humidity in area i Higher humidity than adjacent area j , and the temperature difference When the temperature is balanced, the boundary device needs to be used. The temperature balance control formula is: ， in, is the humidity compensation coefficient, Between, temperature compensation is performed through boundary devices: Control signal = ;in is the humidity adjustment factor.

10. The method for controlling temperature and humidity of a tunnel furnace for coil disc processing according to claim 9, characterized in that: The boundary compensation control not only considers the temperature difference, but also the humidity difference. For the boundary device control signal of each area, the temperature and humidity adjustment requirements are comprehensively considered: ， in, and is the weight coefficient of temperature and humidity, satisfying , which is used to balance the control needs of temperature and humidity. Through this weighted fusion, the temperature and humidity can be effectively compensated at the same time to avoid excessive regulation biased towards one side.

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