High-intensity magnetic field heating furnace

Abstract

The invention discloses a high-intensity magnetic field heating furnace, and belongs to the technical field of high-intensity magnetic field heat treatment. The heating furnace comprises a high-intensity magnetic field generation module which generates and adjusts a high-intensity magnetic field in real time and dynamically adapts to heating requirement changes; the heating device executes accurate heating operation and real-time temperature monitoring to ensure uniform distribution of the temperature in the furnace; the gas protection module provides inert gas protection, monitors and adjusts gas components in real time, and ensures the stability and safety of a heating environment; the vacuum control module is used for realizing rapid vacuumizing and accurate air pressure adjustment and optimizing a vacuum heating environment; the intelligent control center is used for integrating data streams of all modules, intelligently optimizing process parameters and generating an optimal heating curve; and the energy management module monitors the overall energy consumption, optimizes the power distribution of each module, and improves the energy utilization rate through energy recovery.

Description

Technical Field

[0001] The present application relates to the technical field of high-magnetic field heat treatment, and more specifically, to a high-magnetic field heating furnace. Background Art

[0002] As a new type of heating equipment, the strong magnetic field heating furnace has attracted much attention due to its superior performance in material processing, chemical reaction and high temperature treatment. Compared with traditional resistance heating and combustion heating, the strong magnetic field heating furnace can achieve higher heating efficiency and more uniform temperature distribution, thereby improving product quality and processing accuracy. However, the current strong magnetic field heating system still faces many challenges.

[0003] Traditional high-magnetic field heating furnaces have limitations in structural design and control technology, and it is usually difficult to achieve real-time magnetic field regulation and temperature monitoring. In addition, due to energy loss and uneven heat distribution during the heating process, the energy efficiency of many application scenarios has not been effectively improved. At the same time, the existing system has poor adaptability to changes in the external environment, resulting in the inability to provide stable heating effects under different process conditions.

[0004] With the continuous improvement of intelligent manufacturing and environmental protection requirements, the shortcomings of traditional strong magnetic field heating furnaces in energy efficiency optimization and environmental protection are becoming increasingly obvious.

[0005] Therefore, how to design a strong magnetic field heating furnace with intelligent control, real-time monitoring and efficient energy utilization has become a technical problem that needs to be solved urgently. Summary of the invention

[0006] In order to overcome a series of defects in the prior art, the purpose of this application is to provide a strong magnetic field heating furnace for the above problems, including the following modules:

[0007] Strong magnetic field generation module, which generates and adjusts high-intensity magnetic fields in real time to dynamically adapt to changes in heating requirements;

[0008] Heating device, which performs precise heating operation and real-time temperature monitoring to ensure uniform temperature distribution in the furnace;

[0009] Gas protection module provides inert gas protection and monitors and adjusts gas composition in real time to ensure a stable and safe heating environment;

[0010] Vacuum control module, which can realize fast vacuuming and precise air pressure regulation, and optimize vacuum heating environment;

[0011] Intelligent control center integrates data streams from various modules, intelligently optimizes process parameters, and generates the optimal heating curve;

[0012] The energy management module monitors the overall energy consumption, optimizes the power allocation of each module, and improves energy utilization through energy recovery.

[0013] Furthermore, the strong magnetic field generation module includes the following components:

[0014] Electromagnet, as the main component for generating strong magnetic field, generates strong magnetic field by energizing coil;

[0015] The water-cooled copper coil is wrapped around the electromagnet to provide efficient cooling for the electromagnet, prevent overheating, and improve the efficiency of magnetic field generation;

[0016] The power supply unit provides a precisely controllable current to the electromagnet coil to ensure the adjustability and stability of the magnetic field strength;

[0017] Magnetic field strength sensor, which monitors the magnetic field strength in real time and feeds back data to the control unit for precise regulation;

[0018] A control unit that dynamically adjusts the current based on sensor data and heating requirements to optimize the process of magnetic field generation and regulation;

[0019] The coolant circulation unit continuously circulates the coolant and removes the heat through the water-cooled copper coil.

[0020] Furthermore, the heating device comprises the following components:

[0021] Quartz tube, as the core container for reaction or heating, has excellent thermal stability and transparency, allows observation of sample status, and can withstand high temperatures;

[0022] The heating wire, wrapped around the outside of the quartz tube, serves as the primary heat source, providing controllable heat input through resistive heating;

[0023] Temperature sensors are located at key locations in the furnace to monitor temperature distribution in real time and provide feedback data for precise control;

[0024] The furnace chamber houses the heating wires and quartz tubes and provides a mounting location for the temperature sensor to maintain a stable heating environment;

[0025] Insulation structure to maintain temperature stability in the furnace, improve energy efficiency, and protect the external environment;

[0026] The power control unit adopts advanced PID control algorithm to accurately adjust the input power of the heating wire and realize precise control and dynamic adjustment of temperature.

[0027] Furthermore, the gas protection module includes the following components:

[0028] Inert gas supply unit, which stores and provides high-purity inert gas to ensure continuous gas protection during the heating process;

[0029] Multi-channel gas mixer, accurately mix multiple gases and dynamically adjust the gas component ratio according to process requirements;

[0030] Gas composition analyzer, which monitors the gas composition in the furnace in real time and provides accurate feedback data for gas regulation;

[0031] The flow control unit precisely adjusts the flow of various gases according to the analyzer data and control instructions to maintain an ideal gas environment;

[0032] Gas purification unit, which removes impurities and moisture from the gas to ensure that the gas entering the furnace reaches high purity standards;

[0033] The pressure regulating unit monitors and adjusts the gas pressure in the furnace to maintain a stable gas protection environment and prevent external air from infiltrating.

[0034] Furthermore, the vacuum control module includes the following components:

[0035] High-efficiency vacuum unit uses a multi-stage pump group to achieve rapid vacuuming and quickly reach the required vacuum degree;

[0036] Vacuum measuring instrument, using a multi-range vacuum gauge to monitor the vacuum degree in the furnace in real time and provide accurate pressure data;

[0037] Intelligent pressure regulating valve unit achieves precise air pressure regulation and maintains an ideal vacuum environment by precisely controlling the valve opening;

[0038] The vacuum chamber sealing unit ensures efficient sealing of the heating furnace, prevents external gas from penetrating, and maintains a stable vacuum environment;

[0039] The vacuum control unit integrates the data of each component, coordinates the pumping, measurement and pressure regulation processes, and optimizes the vacuum heating environment.

[0040] Furthermore, the intelligent control center includes the following components:

[0041] Data acquisition and integration unit, which collects and integrates data streams from various functional modules in real time to provide comprehensive information for central processing;

[0042] Real-time data processing engine, which quickly cleans, standardizes and preliminarily analyzes the massive amount of collected data, and provides structured data support for subsequent intelligent optimization;

[0043] Process parameter optimization algorithm library, which stores and runs various optimization algorithms and dynamically optimizes process parameters based on real-time data;

[0044] The heating curve generation unit generates the optimal heating curve based on the optimized process parameters and historical performance data to guide the precise control of the heating process;

[0045] The decision support unit comprehensively analyzes the optimization results, provides decision suggestions to operators, and conducts human-computer interaction when necessary;

[0046] The coordination controller converts the optimized parameters and generated heating curve into specific control instructions and coordinates the operation of each functional module.

[0047] Further, based on the optimized process parameters and historical performance data, an optimal heating curve is generated, including the following steps:

[0048] Collect and organize all relevant historical heating curve data, process parameters and performance indicators, perform data cleaning and standardization, remove outliers and noise, and match and correlate the optimized process parameters with historical data to lay the foundation for subsequent analysis;

[0049] Use autoencoders to extract key features from historical data and identify the main factors that affect the shape and effect of the heating curve;

[0050] Based on the processed data and extracted key features, a prediction model is constructed to accurately predict the temperature change and material properties under different heating parameters;

[0051] The prediction model and optimization algorithm are used to generate an initial heating curve, and energy efficiency, heating uniformity, and target temperature reaching time goals are considered. Iterative optimization is performed to reach the best balance point, thereby generating a theoretical optimal curve, which specifically includes the following steps: defining an objective function J that comprehensively considers energy efficiency, heating uniformity, and target temperature reaching time; Where N is the total number of measurement points; is the average temperature in the furnace; T i is the temperature of the i-th measurement point in the furnace; P out is the actual heat output of the heating device; P in is the electrical energy input; T actual is the time required to actually reach the target temperature; T target is the preset target time; the gradient descent method is used to minimize the objective function J to generate the theoretical optimal curve. The specific formula is: new =θ old -η· Where η is the learning rate; is the gradient of the objective function J with respect to θ; θ old represents the parameters of the heating curve in the current iteration, that is, the parameter values ​​of the old or previous iteration; θ new represents the parameters of the updated heating curve in the next iteration, i.e., the new parameter values ​​updated by the optimization algorithm;

[0052] Smooth the generated theoretical optimal curve to ensure the continuity and feasibility of the curve;

[0053] Apply the generated heating curves in simulated environments or small-scale tests to verify their performance and collect feedback data;

[0054] Iterative optimization is performed based on the verification results until the final heating curve is obtained.

[0055] Furthermore, the energy management module includes the following components:

[0056] Energy consumption monitoring unit, real-time monitoring and recording of energy consumption data of each module;

[0057] The power distributor dynamically adjusts and optimizes the power distribution of each module based on real-time energy consumption data to maximize overall energy efficiency;

[0058] Energy recovery units that capture and convert waste heat or other forms of energy generated during operation and reuse them to improve overall energy efficiency;

[0059] The energy efficiency optimization algorithm engine comprehensively considers energy consumption, performance and cost factors to generate the optimal energy usage plan.

[0060] Furthermore, the overall energy efficiency E eff It is expressed by the following formula: Among them, P k is the output power of module k; n is the number of modules, that is, how many modules need to be allocated power; w k is the weight of module k, reflecting its priority.

[0061] Compared with the prior art, this application has the following beneficial effects:

[0062] This application uses a strong magnetic field generation module to generate and adjust a high-intensity magnetic field in real time, a heating device to ensure uniform temperature, a gas protection module to provide inert gas protection and real-time monitoring of gas composition, a vacuum control module to achieve rapid vacuuming and gas pressure regulation, an intelligent control center to integrate multi-module data to optimize the heating curve, and an energy management module to optimize energy consumption distribution and recycle waste energy, thereby overall improving energy efficiency and the accuracy of the heating process. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 This is a schematic diagram of the structure of a strong magnetic field heating furnace in an embodiment of the present application. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical scheme and advantages of the implementation of the present invention clearer, the technical scheme in the embodiment of the present invention will be described in more detail below in conjunction with the drawings in the embodiment of the present invention. In the drawings, the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The described embodiments are part of the embodiments of the present invention, not all of the embodiments.

[0065] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0066] The embodiments and directional terms described below with reference to the accompanying drawings are exemplary and intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0067] like Figure 1 As shown, a strong magnetic field heating furnace includes the following modules:

[0068] Strong magnetic field generation module, which generates and adjusts high-intensity magnetic fields in real time to dynamically adapt to changes in heating requirements;

[0069] Heating device, which performs precise heating operation and real-time temperature monitoring to ensure uniform temperature distribution in the furnace;

[0070] Gas protection module provides inert gas protection and monitors and adjusts gas composition in real time to ensure a stable and safe heating environment;

[0071] Vacuum control module, which can realize fast vacuuming and precise air pressure regulation, and optimize vacuum heating environment;

[0072] Intelligent control center integrates data streams from various modules, intelligently optimizes process parameters, and generates the optimal heating curve;

[0073] The energy management module monitors the overall energy consumption, optimizes the power allocation of each module, and improves energy utilization through energy recovery.

[0074] In this embodiment, the core function of the strong magnetic field generation module is to generate and adjust the high-intensity magnetic field in real time to dynamically adapt to different heating requirements. The module uses electromagnet technology and can adjust the current intensity according to the real-time feedback signal, thereby changing the magnetic field intensity. This rapid response capability is particularly important for applications that require precise control of the heating process, such as in material processing, metal smelting and other fields. This closed-loop control mechanism ensures the stability and consistency of the magnetic field, reduces the risk of uneven heating due to magnetic field fluctuations, and thus improves the overall heating efficiency and product quality.

[0075] In this embodiment, the heating device plays a key role in the strong magnetic field heating furnace, responsible for performing precise heating operations and monitoring the temperature in the furnace in real time. The device can achieve fast and uniform heating under the action of a strong magnetic field. During the design, it is ensured that the heat can be evenly distributed throughout the heating area to avoid the appearance of hot spots and cold spots. In addition, the heating power can be automatically adjusted according to the set temperature curve to ensure the accuracy of temperature control. This efficient heating method not only shortens the heating time, but also improves the performance and processing accuracy of the material.

[0076] In this embodiment, the gas protection module ensures that the chemical reaction during the heating process is not affected by the external environment by providing inert gas protection, thereby ensuring the purity and quality of the material. At the same time, the module also has the ability to monitor and adjust the gas composition in real time to adapt to different materials and process requirements. During the heating process, inert gases such as nitrogen or helium will form a stable protective atmosphere to prevent oxidation and contamination. This is especially important for some materials that are sensitive to oxygen, such as certain metal alloys and ceramics. In addition, the gas state can be fed back in real time so that the intelligent control center can make adjustments as needed to ensure the stability and safety of the heating environment.

[0077] In this embodiment, the main function of the vacuum control module is to achieve rapid vacuuming and precise air pressure regulation, thereby optimizing the vacuum heating environment. The module is equipped with an efficient vacuum pump and pressure sensor, which can quickly reduce the air pressure in the furnace and provide an ideal low-pressure environment for the heating process. Under low pressure, the thermal conductivity efficiency of the material is significantly improved, which reduces heat loss and thus improves the heating effect. In addition, the vacuum environment can prevent oxidation and deterioration of the material and ensure product quality. The intelligent control center can quickly respond to any pressure changes and ensure stability during the heating process by real-time monitoring of the vacuum state.

[0078] In this embodiment, the intelligent control center is the "brain" of the entire high-magnetic field heating furnace, responsible for integrating the data streams of each module and performing intelligent optimization. It uses advanced algorithms and data analysis techniques to monitor various indicators in real time and automatically generate the optimal heating curve. By analyzing historical data and real-time feedback, the intelligent control center can automatically adjust the working parameters of each module, such as heating power, gas composition, and vacuum state, so as to optimize the overall process. In addition, the intelligent control center also has self-learning capabilities, and can make improvements based on previous heating effects to improve overall efficiency and flexibility.

[0079] In this embodiment, the energy management module plays a vital role in the strong magnetic field heating furnace by monitoring the overall energy consumption and optimizing the power distribution of each module. This module can track the energy consumption of each component in real time and identify energy efficiency bottlenecks through data analysis. By reasonably allocating energy, this module can not only improve the efficiency of the heating process, but also reduce energy consumption costs. In addition, the energy management module also has an energy recovery function, which can effectively recover the excess heat generated during the heating process, further improve the utilization rate of energy, and ensure the dual advantages of economy and environmental friendliness.

[0080] In summary, the strong magnetic field heating furnace realizes an efficient, precise and intelligent heating process through the organic combination of various modules. The strong magnetic field generation module provides a stable heating source, the heating device ensures the uniform distribution of temperature, and the gas protection module and the vacuum control module jointly maintain the safety and stability of the heating environment. The intelligent control center and the energy management module improve flexibility and energy efficiency through data integration and optimization. Furthermore, the strong magnetic field generation module includes the following components:

[0081] Electromagnet, as the main component for generating strong magnetic field, generates strong magnetic field by energizing coil;

[0082] The water-cooled copper coil is wrapped around the electromagnet to provide efficient cooling for the electromagnet, prevent overheating, and improve the efficiency of magnetic field generation;

[0083] The power supply unit provides a precisely controllable current to the electromagnet coil to ensure the adjustability and stability of the magnetic field strength;

[0084] Magnetic field strength sensor, which monitors the magnetic field strength in real time and feeds back data to the control unit for precise regulation;

[0085] A control unit that dynamically adjusts the current based on sensor data and heating requirements to optimize the process of magnetic field generation and regulation;

[0086] The coolant circulation unit continuously circulates the coolant and removes the heat through the water-cooled copper coil.

[0087] In general, the strong magnetic field generation module achieves efficient, stable and flexible strong magnetic field generation through the coordinated work of the above components. These components not only assume important functions individually, but also form a closed-loop control mechanism through real-time data feedback and intelligent control, thereby improving the efficiency and safety of the entire heating process. As the core component, the electromagnet, combined with an efficient cooling system and precise power supply, ensures the generation and stability of the strong magnetic field; while the intelligent design of the monitoring and control unit provides a guarantee for system optimization. This module provides strong support for improving process level and product quality.

[0088] Furthermore, the heating device comprises the following components:

[0089] Quartz tube, as the core container for reaction or heating, has excellent thermal stability and transparency, allows observation of sample status, and can withstand high temperatures;

[0090] The heating wire, wrapped around the outside of the quartz tube, serves as the primary heat source, providing controllable heat input through resistive heating;

[0091] Temperature sensors are located at key locations in the furnace to monitor temperature distribution in real time and provide feedback data for precise control;

[0092] The furnace chamber houses the heating wires and quartz tubes and provides a mounting location for the temperature sensor to maintain a stable heating environment;

[0093] Insulation structure to maintain temperature stability in the furnace, improve energy efficiency, and protect the external environment;

[0094] The power control unit adopts advanced PID control algorithm to accurately adjust the input power of the heating wire and realize precise control and dynamic adjustment of temperature.

[0095] In general, the heating device forms an efficient and stable heating system through the synergistic effect of various components. The excellent characteristics of the quartz tube make the sample heating process visualized, the heating wire provides an efficient and controllable heat source, the temperature sensor ensures accurate temperature monitoring, and the design of the furnace and insulation structure improves the overall energy efficiency. The intelligent control of the power control unit further enhances flexibility and stability.

[0096] Furthermore, the gas protection module includes the following components:

[0097] Inert gas supply unit, which stores and provides high-purity inert gas to ensure continuous gas protection during the heating process;

[0098] Multi-channel gas mixer, accurately mix multiple gases and dynamically adjust the gas component ratio according to process requirements;

[0099] Gas composition analyzer, which monitors the gas composition in the furnace in real time and provides accurate feedback data for gas regulation;

[0100] The flow control unit precisely adjusts the flow of various gases according to the analyzer data and control instructions to maintain an ideal gas environment;

[0101] Gas purification unit, which removes impurities and moisture from the gas to ensure that the gas entering the furnace reaches high purity standards;

[0102] The pressure regulating unit monitors and adjusts the gas pressure in the furnace to maintain a stable gas protection environment and prevent external air from infiltrating.

[0103] In general, the gas protection module provides the necessary gas protection for the heating process through the coordinated work of various components, ensuring the safety and purity of the sample. The inert gas supply unit provides high-purity gas, the multi-channel gas mixer accurately adjusts the gas composition, the gas composition analyzer and the flow control unit realize real-time monitoring and adjustment, while the gas purification unit ensures the high purity of the gas, and the pressure regulation unit maintains a stable gas environment. This gas protection module not only improves the safety and reliability of the heating process, but also provides ideal environmental conditions for material processing and chemical reactions, promoting the development and application of technologies in related fields.

[0104] Furthermore, the vacuum control module includes the following components:

[0105] High-efficiency vacuum unit uses a multi-stage pump group to achieve rapid vacuuming and quickly reach the required vacuum degree;

[0106] Vacuum measuring instrument, using a multi-range vacuum gauge to monitor the vacuum degree in the furnace in real time and provide accurate pressure data;

[0107] Intelligent pressure regulating valve unit achieves precise air pressure regulation and maintains an ideal vacuum environment by precisely controlling the valve opening;

[0108] The vacuum chamber sealing unit ensures efficient sealing of the heating furnace, prevents external gas from penetrating, and maintains a stable vacuum environment;

[0109] The vacuum control unit integrates the data of each component, coordinates the pumping, measurement and pressure regulation processes, and optimizes the vacuum heating environment.

[0110] In general, the vacuum control module ensures an ideal vacuum environment during the heating process through the efficient collaboration of various components. The efficient vacuum unit quickly establishes a vacuum state, the vacuum measuring instrument provides accurate pressure data, the intelligent pressure regulating valve unit adjusts the air pressure in real time, and the vacuum chamber sealing unit ensures stability and reliability. As an intelligent management center, the vacuum control unit integrates the data of various components to achieve automated control and optimization. This comprehensive vacuum control module not only improves the efficiency of experiments and production, but also provides a reliable experimental environment for scientific research.

[0111] Furthermore, the intelligent control center includes the following components:

[0112] Data acquisition and integration unit, which collects and integrates data streams from various functional modules in real time to provide comprehensive information for central processing;

[0113] Real-time data processing engine, which quickly cleans, standardizes and preliminarily analyzes the massive amount of collected data, and provides structured data support for subsequent intelligent optimization;

[0114] Process parameter optimization algorithm library, which stores and runs various optimization algorithms and dynamically optimizes process parameters based on real-time data;

[0115] The heating curve generation unit generates the optimal heating curve based on the optimized process parameters and historical performance data to guide the precise control of the heating process;

[0116] The decision support unit comprehensively analyzes the optimization results, provides decision suggestions to operators, and conducts human-computer interaction when necessary;

[0117] The coordination controller converts the optimized parameters and generated heating curve into specific control instructions and coordinates the operation of each functional module.

[0118] In general, the intelligent control center achieves efficient management and optimization of the heating process through the close collaboration of various components. The data acquisition and integration unit provides a comprehensive information basis, the real-time data processing engine ensures the accuracy and consistency of the data, and the process parameter optimization algorithm library dynamically adjusts the process parameters to adapt to the changing operating conditions. The heating curve generation unit generates the optimal heating strategy through intelligent analysis, the decision support unit provides effective decision-making suggestions for operators, and the coordination controller ensures the efficient cooperation of various functional modules. The integration of this system not only improves the intelligence level of the heating process, but also provides a strong guarantee for the efficiency and safety of material handling.

[0119] Further, based on the optimized process parameters and historical performance data, an optimal heating curve is generated, including the following steps:

[0120] Collect and organize all relevant historical heating curve data, process parameters and performance indicators, perform data cleaning and standardization, remove outliers and noise, and match and correlate the optimized process parameters with historical data to lay the foundation for subsequent analysis;

[0121] Use autoencoders to extract key features from historical data and identify the main factors that affect the shape and effect of the heating curve;

[0122] Based on the processed data and extracted key features, a prediction model is constructed to accurately predict the temperature change and material properties under different heating parameters;

[0123] The prediction model and optimization algorithm are used to generate an initial heating curve, and energy efficiency, heating uniformity, and target temperature reaching time goals are considered. Iterative optimization is performed to reach the best balance point, thereby generating a theoretical optimal curve, which specifically includes the following steps: defining an objective function J that comprehensively considers energy efficiency, heating uniformity, and target temperature reaching time; Where N is the total number of measurement points; is the average temperature in the furnace; T i is the temperature of the i-th measurement point in the furnace; P out is the actual heat output of the heating device; P in is the electrical energy input; T actual is the time required to actually reach the target temperature; T target is the preset target time; the gradient descent method is used to minimize the objective function J to generate the theoretical optimal curve. The specific formula is: new =θ old -η· Where η is the learning rate; is the gradient of the objective function J with respect to θ; θ old represents the parameters of the heating curve in the current iteration, that is, the parameter values ​​of the old or previous iteration; θ new represents the parameters of the updated heating curve in the next iteration, i.e., the new parameter values ​​updated by the optimization algorithm;

[0124] Smooth the generated theoretical optimal curve to ensure the continuity and feasibility of the curve;

[0125] Apply the generated heating curves in simulated environments or small-scale tests to verify their performance and collect feedback data;

[0126] Iterative optimization is performed based on the verification results until the final heating curve is obtained.

[0127] In general, generating the optimal heating curve is a systematic process involving multiple steps such as data collection, feature extraction, model building, and curve optimization. Through in-depth analysis and processing of historical data, combined with advanced machine learning technology, the final generated heating curve can achieve the best results in both theory and practice. The successful implementation of this process not only improves the efficiency and reliability of the heating process, but also provides a solid foundation for future material processing technology. Through continuous verification and iterative optimization, it ensures that the generated heating curve remains flexible and adaptable in the ever-changing process requirements, promoting the advancement and innovation of related technologies.

[0128] Furthermore, the energy management module includes the following components:

[0129] Energy consumption monitoring unit, real-time monitoring and recording of energy consumption data of each module;

[0130] The power distributor dynamically adjusts and optimizes the power distribution of each module based on real-time energy consumption data to maximize overall energy efficiency;

[0131] Energy recovery units that capture and convert waste heat or other forms of energy generated during operation and reuse them to improve overall energy efficiency;

[0132] The energy efficiency optimization algorithm engine comprehensively considers energy consumption, performance and cost factors to generate the optimal energy usage plan.

[0133] In general, the energy management module achieves efficient management of energy use through comprehensive coordination of energy consumption monitoring, power distribution, energy recovery and energy efficiency optimization. The energy consumption monitoring unit provides accurate energy consumption data, and the power distributor ensures the optimal power output of each module under different requirements. The energy recovery unit improves the overall energy utilization rate by effectively utilizing waste heat, while the energy efficiency optimization algorithm engine provides an intelligent optimization solution for energy use. The efficient operation of this module not only reduces operating costs and improves energy utilization efficiency, but also makes positive contributions to sustainable development and promotes the further advancement and application of related technologies.

[0134] Furthermore, the overall energy efficiency E eff It is expressed by the following formula: Among them, P k is the output power of module k; n is the number of modules, that is, how many modules need to be allocated power; w k is the weight of module k, reflecting its priority.

[0135] Through the above formula, the calculation of overall energy efficiency can intuitively reflect the role and impact of each module in energy use. Reasonable power allocation can not only improve overall energy efficiency, but also optimize the operating status of each module to ensure efficient and stable operation under changing process requirements. An effective energy management strategy should consider the module output power, quantity and weight, and combine real-time data for intelligent optimization, so as to promote continuous improvement and maximize energy utilization.

[0136] Finally, it should be pointed out that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, a person skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A strong magnetic field heating furnace, characterized in that: Includes the following modules: Strong magnetic field generation module, which generates and adjusts high-intensity magnetic fields in real time to dynamically adapt to changes in heating requirements; Heating device, which performs precise heating operation and real-time temperature monitoring to ensure uniform temperature distribution in the furnace; Gas protection module provides inert gas protection and monitors and adjusts gas composition in real time to ensure a stable and safe heating environment; Vacuum control module, which can realize fast vacuuming and precise air pressure regulation, and optimize vacuum heating environment; Intelligent control center integrates data streams from various modules, intelligently optimizes process parameters, and generates the optimal heating curve; The energy management module monitors the overall energy consumption, optimizes the power allocation of each module, and improves energy utilization through energy recovery.

2. A strong magnetic field heating furnace according to claim 1, characterized in that: The strong magnetic field generation module includes the following components: Electromagnet, as the main component for generating strong magnetic field, generates strong magnetic field by energizing coil; The water-cooled copper coil is wrapped around the electromagnet to provide efficient cooling for the electromagnet, prevent overheating, and improve the efficiency of magnetic field generation; The power supply unit provides a precisely controllable current to the electromagnet coil to ensure the adjustability and stability of the magnetic field strength; Magnetic field strength sensor, which monitors the magnetic field strength in real time and feeds back data to the control unit for precise regulation; A control unit that dynamically adjusts the current based on sensor data and heating requirements to optimize the process of magnetic field generation and regulation; The coolant circulation unit continuously circulates the coolant and removes the heat through the water-cooled copper coil.

3. A strong magnetic field heating furnace according to claim 1, characterized in that: The heating device consists of the following components: Quartz tube, as the core container for reaction or heating, has excellent thermal stability and transparency, allows observation of sample status, and can withstand high temperatures; The heating wire, wrapped around the outside of the quartz tube, serves as the primary heat source, providing controllable heat input through resistive heating; Temperature sensors are located at key locations in the furnace to monitor temperature distribution in real time and provide feedback data for precise control; The furnace chamber houses the heating wires and quartz tubes and provides a mounting location for the temperature sensor to maintain a stable heating environment; Insulation structure to maintain temperature stability in the furnace, improve energy efficiency, and protect the external environment; The power control unit adopts advanced PID control algorithm to accurately adjust the input power of the heating wire and realize precise control and dynamic adjustment of temperature.

4. A strong magnetic field heating furnace according to claim 1, characterized in that: The gas shielding module includes the following components: Inert gas supply unit, which stores and provides high-purity inert gas to ensure continuous gas protection during the heating process; Multi-channel gas mixer, accurately mix multiple gases and dynamically adjust the gas component ratio according to process requirements; Gas composition analyzer, which monitors the gas composition in the furnace in real time and provides accurate feedback data for gas regulation; The flow control unit precisely adjusts the flow of various gases according to the analyzer data and control instructions to maintain an ideal gas environment; Gas purification unit, which removes impurities and moisture from the gas to ensure that the gas entering the furnace reaches high purity standards; The pressure regulating unit monitors and adjusts the gas pressure in the furnace to maintain a stable gas protection environment and prevent external air from infiltrating.

5. A strong magnetic field heating furnace according to claim 1, characterized in that: The vacuum control module includes the following components: High-efficiency vacuum unit uses a multi-stage pump group to achieve rapid vacuuming and quickly reach the required vacuum degree; Vacuum measuring instrument, using a multi-range vacuum gauge to monitor the vacuum degree in the furnace in real time and provide accurate pressure data; Intelligent pressure regulating valve unit achieves precise air pressure regulation and maintains an ideal vacuum environment by precisely controlling the valve opening; The vacuum chamber sealing unit ensures efficient sealing of the heating furnace, prevents external gas from penetrating, and maintains a stable vacuum environment; The vacuum control unit integrates the data of each component, coordinates the pumping, measurement and pressure regulation processes, and optimizes the vacuum heating environment.

6. A strong magnetic field heating furnace according to claim 1, characterized in that: The Smart Control Center includes the following components: Data acquisition and integration unit collects and integrates data streams from various functional modules in real time to provide comprehensive information for central processing; Real-time data processing engine, which quickly cleans, standardizes and preliminarily analyzes the massive amount of collected data, and provides structured data support for subsequent intelligent optimization; Process parameter optimization algorithm library, which stores and runs various optimization algorithms and dynamically optimizes process parameters based on real-time data; The heating curve generation unit generates the optimal heating curve based on the optimized process parameters and historical performance data to guide the precise control of the heating process; The decision support unit comprehensively analyzes the optimization results, provides decision suggestions to operators, and conducts human-computer interaction when necessary; The coordination controller converts the optimized parameters and generated heating curve into specific control instructions and coordinates the operation of each functional module.

7. A strong magnetic field heating furnace according to claim 6, characterized in that: Based on the optimized process parameters and historical performance data, the optimal heating curve is generated, including the following steps: Collect and organize all relevant historical heating curve data, process parameters and performance indicators, perform data cleaning and standardization, remove outliers and noise, and match and correlate the optimized process parameters with historical data to lay the foundation for subsequent analysis; Use autoencoders to extract key features from historical data and identify the main factors that affect the shape and effect of the heating curve; Based on the processed data and extracted key features, a prediction model is constructed to accurately predict the temperature change and material properties under different heating parameters; The prediction model and optimization algorithm are used to generate an initial heating curve, and energy efficiency, heating uniformity, and target temperature reaching time goals are considered. Iterative optimization is performed to reach the best balance point, thereby generating a theoretical optimal curve, which specifically includes the following steps: defining an objective function J that comprehensively considers energy efficiency, heating uniformity, and target temperature reaching time; Where N is the total number of measurement points; is the average temperature in the furnace; T i is the temperature of the i-th measurement point in the furnace; P out is the actual heat output of the heating device; P in is the electrical energy input; T actual is the time required to actually reach the target temperature; T target is the preset target time; the gradient descent method is used to minimize the objective function J to generate the theoretical optimal curve. The specific formula is: Where η is the learning rate; is the gradient of the objective function J with respect to θ; θ old represents the parameters of the heating curve in the current iteration, that is, the parameter values ​​of the old or previous iteration; θ new Represents the parameters of the updated heating curve in the next iteration, that is, the new parameter values ​​updated by the optimization algorithm; Smooth the generated theoretical optimal curve to ensure the continuity and feasibility of the curve; Apply the generated heating curves in simulated environments or small-scale tests to verify their performance and collect feedback data; Iterative optimization is performed based on the verification results until the final heating curve is obtained.

8. A strong magnetic field heating furnace according to claim 1, characterized in that: The energy management module includes the following components: Energy consumption monitoring unit, real-time monitoring and recording of energy consumption data of each module; The power distributor dynamically adjusts and optimizes the power distribution of each module based on real-time energy consumption data to maximize overall energy efficiency; Energy recovery units that capture and convert waste heat or other forms of energy generated during operation and reuse them to improve overall energy efficiency; The energy efficiency optimization algorithm engine comprehensively considers energy consumption, performance and cost factors to generate the optimal energy usage plan.

9. A strong magnetic field heating furnace according to claim 8, characterized in that: Overall energy efficiency E eff It is expressed by the following formula: Among them, P k is the output power of module k; n is the number of modules, that is, how many modules need to be allocated power; w k is the weight of module k, reflecting its priority.

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