A low-loss thin strip production system and method for oriented silicon steel

Abstract

The present invention discloses a low-loss thin strip production system and method for oriented silicon steel, including a production module, a monitoring module, a remote processing module, a temperature control module, a dynamic control module and a product performance detection module, wherein the temperature control module includes a temperature analysis unit, a temperature processor unit and a temperature adjustment unit, wherein the temperature analysis unit analyzes the monitored temperature, the temperature processor unit sends a temperature adjustment instruction according to the result of the temperature analysis unit, and the temperature adjustment unit controls the operation of a cooling component and a heating component according to the temperature adjustment instruction. The present invention monitors the temperature in the production module in real time through a monitoring unit, and the temperature control unit automatically adjusts the temperature in the production process according to the real-time monitored temperature, so that the temperature of the production module fluctuates around a set standard range, thereby realizing the control of the temperature of the production module and avoiding product quality problems caused by inappropriate temperature during the production process.

Description

Technical Field

[0001] The invention relates to the technical field of oriented silicon steel thin strip production, and in particular to a low-loss thin strip production system and method for oriented silicon steel. Background Art

[0002] The grains of oriented silicon steel are basically arranged in one direction, which makes the oriented silicon steel have lower iron loss and higher magnetic permeability; oriented silicon steel strip is a special silicon steel material, which is suitable for making transformer and inductor cores used at medium and high frequencies. In order to obtain low-loss oriented silicon steel strip, a low-loss oriented silicon steel strip production system is needed.

[0003] The defects of the existing production system are:

[0004] 1. Patent document CN209680797U discloses a production system for ultra-thin oriented silicon steel strips. The production system in the patent document greatly simplifies the production process of ultra-thin oriented silicon steel strips. However, the production system in the patent document does not consider automatic control and adjustment of the temperature during the production process, which may cause the problem of product quality being affected by large temperature fluctuations during the production process;

[0005] 2. The application document JP2021033681A proposes a production system. The production system in the application document only considers recording video data according to the log information in the recording unit, and does not consider dynamically monitoring and analyzing video data in real time, and reminding staff when abnormalities are found;

[0006] 3. Application document KR1020200145679A discloses a production system. The production system of the application document takes into account whether the workpieces processed by the inspection device have a large number of defects, but the patent document cannot realize the remote control of the production process by the management personnel;

[0007] 4. Patent document KR1020170098892A proposes a production system that does not consider the issue of testing various performance indicators of the products produced, making it easy for managers to evaluate product quality based on the test results. Summary of the invention

[0008] The object of the present invention is to provide a system and method for producing low-loss thin strips of oriented silicon steel to solve the problems raised in the above-mentioned background technology.

[0009] To achieve the above-mentioned object, the present invention provides the following technical solutions: a low-loss thin strip production system of oriented silicon steel, comprising a production module, a monitoring module, a remote processing module, a temperature control module, a dynamic control module and a product performance detection module, wherein the production module is used to produce oriented silicon steel thin strips, the monitoring module is used to monitor the production process of the production module in real time, the remote processing module is used to send control instructions remotely, the temperature control module is used to control the temperature of the production process, the dynamic control module is used to analyze and process the data detected by the monitoring module, and the product performance detection module is used to detect the performance indicators of the oriented silicon steel thin strips produced;

[0010] The temperature control module includes a temperature analysis unit, a temperature processor unit and a temperature adjustment unit. The temperature analysis unit analyzes the monitored temperature through intelligent data analysis technology. The temperature processor unit sends a temperature adjustment instruction according to the result of the temperature analysis unit. The temperature adjustment unit includes a cooling component and a heating component. The temperature adjustment unit receives the control instruction of the temperature processor unit and controls the operation of the cooling component and the heating component according to the control instruction.

[0011] Preferably, when the temperature analysis unit detects that the temperature of each link in the production module exceeds the set standard range, the temperature processor unit sends a cooling or heating instruction to the temperature adjustment unit, and the temperature adjustment unit controls the operation of the cooling component or the heating component. The cooling component includes a cooling device for the continuous annealing furnace, and the heating component includes an electric heater.

[0012] Preferably, the production module includes a cold rolling unit and an annealing unit. The cold rolling unit uses a cold rolling mill to perform cold rolling operations on ordinary oriented silicon steel raw materials. During the cold rolling process of the raw materials by the cold rolling unit, the deformation rate is ensured to be within a certain range. The annealing unit uses a continuous annealing furnace to anneal the raw materials processed by the cold rolling unit. During the annealing process of the annealing unit, the annealing speed is ensured to be stable within a certain range.

[0013] Preferably, the monitoring module includes a temperature monitoring unit and a picture acquisition unit. The temperature monitoring unit includes a temperature sensor arranged in each unit in the production module. The picture acquisition unit includes an intelligent AI camera. The temperature sensor collects the temperature of each unit in the production module in real time. The intelligent AI camera is implanted with an algorithm to automatically capture the working process picture of each unit in the production module in real time.

[0014] Preferably, the remote processing module includes a communication transmission unit and a control instruction receiving unit. The communication transmission unit sends the data collected by the monitoring module to the management platform through wireless communication technology. The control instruction receiving unit is used to receive control instructions sent by the management personnel from the management platform and transmit the control instructions to the corresponding module.

[0015] Preferably, the dynamic control module enhances and denoises the working process pictures transmitted by the monitoring module through image processing technology, performs real-time analysis and processing on the processed working process pictures through deep learning and computer vision technology, automatically identifies key events and abnormal situations in the production module, and sends an alarm to the management platform when an abnormal situation is identified.

[0016] Preferably, the production module and the temperature adjustment unit receive control instructions from the remote processing module, and the control instructions from the remote processing module have a higher priority than the control instructions from the temperature processor unit.

[0017] Preferably, the product performance detection module includes a detection unit and an output unit. The detection unit includes thickness detection, magnetic property detection, electrical conductivity detection and saturated mechanical property detection. The thickness detection is used to measure the thickness of the oriented silicon steel strip product produced by the production module to determine whether the product thickness meets the standard. The magnetic property detection is used to evaluate whether the magnetic permeability of the product meets the standard. The electrical conductivity detection is used to evaluate whether the resistivity of the product is stable. The mechanical property detection is used to evaluate the tensile strength of the product. The output unit outputs the detection result of the detection unit through the LED display screen and sends the detection result to the management platform.

[0018] Preferably, the production method of the low-loss thin strip of oriented silicon steel is as follows:

[0019] S1. The cold rolling unit of the production module performs cold rolling operation on the common oriented silicon steel raw material through the cold rolling mill while ensuring that the deformation rate is within a certain range. The annealing unit anneals the cold-rolled raw material within a set temperature range through a continuous annealing furnace to ensure that the annealing speed is stable within a certain range.

[0020] S2. The temperature monitoring unit of the monitoring module monitors the temperature of the cold rolling unit and the annealing unit in real time through the temperature sensor, and the image acquisition unit automatically captures the working process image of the production module through the intelligent AI camera in real time;

[0021] S3, the dynamic control module enhances and denoises the working process images collected by the image acquisition unit in the monitoring module, analyzes and processes the processed working process images in real time through deep learning and computer vision technology, and sends an alarm to the management platform when an abnormal situation is identified. The temperature control module receives the temperature data monitored in real time by the temperature monitoring unit;

[0022] S4, the communication transmission unit of the remote processing module sends the data collected by the monitoring module to the management platform, and the control instruction receiving unit receives different control instructions sent by the management personnel from the management platform and transmits the control instructions to the corresponding module;

[0023] S5. The detection unit of the product performance detection module performs thickness detection, magnetic property detection, electrical conductivity detection and saturated mechanical property detection on the product. The output unit of the product performance detection module outputs the result of the detection unit, so that the management personnel can evaluate the product quality according to the detection result.

[0024] Preferably, in S3, the following steps are also included:

[0025] S31. If the temperature analysis unit detects that the temperature of each link in the production module exceeds the upper limit of the set standard range, the temperature processor unit sends a temperature reduction instruction to the temperature adjustment unit, and the temperature adjustment unit controls the temperature reduction component to work. If the temperature analysis unit detects that the temperature of each link in the production module is lower than the lower limit of the set standard range, the temperature processor unit sends a temperature increase instruction to the temperature adjustment unit to control the temperature increase component to work;

[0026] S32. When receiving an abnormal alarm, the manager sends a production suspension instruction through the management platform;

[0027] In S4, the following steps are also included:

[0028] S41, after receiving the production suspension instruction, the control instruction receiving unit in the remote processing module sends the production suspension instruction to the production module to control the production module to suspend operation;

[0029] S42. If an abnormality occurs in the temperature control module, the management personnel monitor the abnormal temperature on the management platform and can send a temperature adjustment instruction through the management platform. The control instruction receiving unit receives the temperature adjustment instruction and transmits the instruction to the temperature adjustment unit. The temperature adjustment unit controls the cooling component and the heating component to perform corresponding actions.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. The present invention monitors the temperature in the production module in real time through a monitoring unit, the temperature control unit automatically adjusts the temperature according to the real-time monitored temperature, the temperature analysis unit analyzes the monitored temperature, the temperature processor unit sends a temperature adjustment instruction according to the result of the temperature analysis unit, the temperature adjustment unit receives the control instruction of the temperature processor unit, and controls the operation of the cooling component and the heating component according to the control instruction, so that the temperature of the production module fluctuates around the set standard range, thereby realizing the control of the temperature of the production module and avoiding product quality problems caused by inappropriate temperature during the production process.

[0032] 2. The present invention dynamically controls the production module through a dynamic control module. The dynamic control module receives the working process picture transmitted by the detection module, enhances and denoises the captured picture through image processing technology, and analyzes and processes the processed picture in real time through deep learning and computer vision technology, automatically identifies various key events and abnormal situations of the production module, and sends alarm information to the management platform when an abnormal situation occurs, thereby realizing real-time monitoring and automated analysis and processing of the production module, and improving the ability to promptly discover and handle abnormal situations in the production process of oriented silicon steel thin strips.

[0033] 3. The present invention can realize remote control of production by managers through the remote processing module. The communication transmission unit sends the data collected by the monitoring module to the management platform through wireless communication technology. The managers can open the management platform at any time through the networked equipment to view the relevant data of the production module, and can remotely control the operation of the temperature adjustment unit when the temperature control module fails. At the same time, the production module can also be controlled to suspend operation after receiving the alarm information, thereby realizing remote control of the production of oriented silicon steel strip by managers.

[0034] 4. The present invention detects various aspects of the performance of the oriented silicon steel strip products produced through the product performance detection module. The detection unit performs thickness detection, magnetic property detection, electrical conductivity detection and saturated mechanical property detection on the oriented silicon steel strip products produced. The output unit displays the detection completion output on the LED display screen and sends it to the management background, which is convenient for managers at the production site and remote managers to evaluate the quality of the products. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a system diagram of the present invention;

[0036] Figure 2 It is a structural diagram of the production module of the present invention;

[0037] Figure 3 It is a structural diagram of the temperature control module of the present invention;

[0038] Figure 4 It is a structural diagram of the monitoring module of the present invention;

[0039] Figure 5 It is a structural diagram of the remote processing module of the present invention;

[0040] Figure 6 This is a structural diagram of the product performance detection module of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] See also Figure 1 and Figure 3 , an embodiment provided by the present invention: a system and method for producing low-loss thin strips of oriented silicon steel, comprising a production module, a monitoring module, a remote processing module, a temperature control module, a dynamic control module and a product performance detection module, wherein the production module is used to produce oriented silicon steel thin strips, the monitoring module is used to monitor the production process of the production module in real time, the remote processing module is used to send control instructions remotely, the temperature control module is used to control the temperature of the production process, the dynamic control module is used to analyze and process the data detected by the monitoring module, and the product performance detection module is used to detect the performance indicators of the oriented silicon steel thin strips produced;

[0043] The temperature control module includes a temperature analysis unit, a temperature processor unit and a temperature adjustment unit. The temperature analysis unit analyzes the monitored temperature through intelligent data analysis technology. The temperature processor unit sends a temperature adjustment instruction according to the result of the temperature analysis unit. The temperature adjustment unit includes a cooling component and a heating component. The temperature adjustment unit receives the control instruction of the temperature processor unit and controls the operation of the cooling component and the heating component according to the control instruction.

[0044] When the temperature analysis unit detects that the temperature of each link in the production module exceeds the set standard range, the temperature processor unit sends a cooling or heating instruction to the temperature adjustment unit, and the temperature adjustment unit controls the operation of the cooling component or the heating component. The cooling component includes a cooling device for the continuous annealing furnace, and the heating component includes an electric heater.

[0045] Furthermore, the production module processes the oriented silicon steel raw materials to produce oriented silicon steel strips, the monitoring module monitors the production process of the production module in real time, the remote processing module transmits the data monitored by the monitoring module and receives control instructions sent remotely, the temperature control module automatically controls the temperature in the production process, the dynamic control module analyzes and processes the data of the monitoring module in real time, the product performance detection module detects the oriented silicon steel strips produced by the production module, and evaluates the quality of the oriented silicon steel strips by detecting various performance indicators.

[0046] The temperature control module receives the temperature data collected by the monitoring module, and the temperature analysis unit compares the real-time collected temperature data with the set standard range to determine whether the current temperature is within the set standard range. If the temperature analysis unit determines that the current temperature exceeds the upper limit of the set standard range, the temperature processor unit sends a cooling instruction to the temperature adjustment unit, and the temperature adjustment unit controls the cooling component to start. If the temperature analysis unit determines that the monitored current temperature is lower than the lower limit of the set standard range, the temperature processor unit sends a heating instruction to the temperature adjustment unit to control the heating component to work; the production module is monitored in real time through the monitoring unit, and the temperature control unit automatically adjusts the temperature according to the real-time monitored temperature, so that the temperature of the production module fluctuates around the set standard range, controls the temperature of the production module, and avoids product quality problems caused by inappropriate temperature during the production process.

[0047] See also Figure 1 and Figure 2 An embodiment of the present invention provides: a system and method for producing low-loss thin strips of oriented silicon steel, wherein the production module includes a cold rolling unit and an annealing unit. The cold rolling unit uses a cold rolling mill to perform cold rolling operations on ordinary oriented silicon steel raw materials. During the cold rolling process of the raw materials by the cold rolling unit, the deformation rate is ensured to be within a certain range. The annealing unit uses a continuous annealing furnace to anneal the raw materials processed by the cold rolling unit. During the annealing process of the annealing unit, the annealing speed is ensured to be stable within a certain range.

[0048] Furthermore, the cold rolling unit of the production module uses ordinary oriented silicon steel as the raw material of the steel strip. The cold rolling mill cold rolls the raw material under a set ambient temperature to ensure a certain deformation rate range. The annealing unit maintains the annealing temperature fluctuating around the set standard range under a reducing atmosphere. The continuous annealing furnace anneals the raw material after cold rolling. The annealing speed is limited to a certain range to avoid too fast annealing speed resulting in incomplete annealing of local areas in the oriented silicon steel thin strip.

[0049] See also Figure 1 , Figure 4 and Figure 5 An embodiment of the present invention is: a low-loss thin strip production system and method for oriented silicon steel, wherein the monitoring module includes a temperature monitoring unit and a picture acquisition unit, the temperature monitoring unit includes a temperature sensor arranged in each unit in the production module, the picture acquisition unit includes an intelligent AI camera, the temperature sensor collects the temperature of each unit in the production module in real time, and an algorithm is implanted inside the intelligent AI camera to automatically capture the working process picture of each unit in the production module in real time.

[0050] The remote processing module includes a communication transmission unit and a control instruction receiving unit. The communication transmission unit sends the data collected by the monitoring module to the management platform through wireless communication technology. The control instruction receiving unit is used to receive the control instructions sent by the management personnel from the management platform and transmit the control instructions to the corresponding module.

[0051] Furthermore, the temperature monitoring unit of the monitoring module monitors the temperature of the cold rolling unit and the annealing unit in the production module in real time through the set temperature sensor, and the image acquisition unit automatically captures the image of the production module through the intelligent AI camera;

[0052] The communication transmission unit of the remote processing module sends the data collected by the monitoring module to the management platform in real time. The staff can open the management platform through the networked device to view the production process. The staff can operate on the management platform to issue different control instructions to control the corresponding modules of the production system to perform corresponding actions, thereby realizing the remote control of the production of oriented silicon steel strip by managers.

[0053] See also Figure 1 and Figure 4 An embodiment of the present invention is: a method for producing low-loss thin strip of oriented silicon steel, in which a dynamic control module enhances and denoises the working process picture transmitted by a monitoring module through image processing technology, and performs real-time analysis and processing on the processed working process picture through deep learning and computer vision technology, automatically identifies key events and abnormal situations in the production module, and sends an alarm to a management platform when an abnormal situation is identified.

[0054] The production module and the temperature adjustment unit receive control instructions from the remote processing module, and the control instructions from the remote processing module have a higher priority than the control instructions from the temperature processor unit.

[0055] Furthermore, the dynamic control module receives the working process images transmitted by the detection module, performs enhanced denoising on the captured images, and performs real-time analysis and processing on the processed images through deep learning and computer vision technology, automatically identifies various key events and abnormal situations of the production module, and sends alarm information to the management platform when abnormal situations occur, thereby realizing real-time monitoring and automated analysis and processing of the production module, and improving the ability to promptly discover and handle abnormal situations in the production process of oriented silicon steel strip.

[0056] Managers can open the management platform through networked devices to view data information in the production module. When receiving abnormal alarm information, they can send a production suspension instruction through the management platform. After receiving the production suspension instruction, the control instruction receiving unit in the remote processing module will send the production suspension instruction to the production module to control the production module to suspend work; if the temperature control module has an abnormality, the manager can monitor the temperature of the production module in the management background, and send control instructions to the temperature adjustment unit according to the real-time temperature data detected, so as to adjust the temperature of each unit of the production module.

[0057] See also Figure 1 and Figure 6 An embodiment of the present invention is: a method for producing low-loss thin strip of oriented silicon steel, the product performance detection module includes a detection unit and an output unit, the detection unit includes thickness detection, magnetic property detection, conductive property detection and saturated mechanical property detection, the thickness detection is used to measure the thickness of the oriented silicon steel thin strip product produced by the production module, and judge whether the product thickness meets the standard, the magnetic property detection is used to evaluate whether the magnetic permeability of the product meets the standard, the conductive property detection is used to evaluate whether the resistivity of the product is stable, the mechanical property detection is used to evaluate the tensile strength of the product, and the output unit outputs the detection result of the detection unit through the LED display screen, and sends the detection result to the management platform.

[0058] Furthermore, in the product performance detection module, the detection unit measures the thickness of the oriented silicon steel strip by a digital thickness gauge to determine whether the thickness of the produced oriented silicon steel sheet meets the standard. The thickness of the oriented silicon steel sheet is negatively correlated with the iron loss. The thinner the strip is, the lower the iron loss of the strip is. The detection unit tests the conductivity of the product by a conductivity tester to confirm whether its resistivity is stable. The detection unit tests the magnetic properties of the oriented silicon steel strip by a universal magnetometer to confirm whether its magnetic permeability meets the requirements. The detection unit tests the mechanical properties of the oriented silicon steel strip by a tensile testing machine to confirm whether its tensile strength meets the requirements. The output unit outputs the detection results of the detection unit. The staff can evaluate whether the quality of the produced oriented silicon steel strip products meets the standards by checking the results output by the output unit.

[0059] Further, the production method of the low-loss thin strip of oriented silicon steel is as follows:

[0060] S1. The cold rolling unit of the production module performs cold rolling operation on the common oriented silicon steel raw material through the cold rolling mill while ensuring that the deformation rate is within a certain range. The annealing unit anneals the cold-rolled raw material within a set temperature range through a continuous annealing furnace to ensure that the annealing speed is stable within a certain range.

[0061] S2. The temperature monitoring unit of the monitoring module monitors the temperature of the cold rolling unit and the annealing unit in real time through the temperature sensor, and the image acquisition unit automatically captures the working process image of the production module through the intelligent AI camera in real time;

[0062] S3, the dynamic control module enhances and denoises the working process images collected by the image acquisition unit in the monitoring module, analyzes and processes the processed working process images in real time through deep learning and computer vision technology, and sends an alarm to the management platform when an abnormal situation is identified. The temperature control module receives the temperature data monitored in real time by the temperature monitoring unit;

[0063] S4, the communication transmission unit of the remote processing module sends the data collected by the monitoring module to the management platform, and the control instruction receiving unit receives different control instructions sent by the management personnel from the management platform and transmits the control instructions to the corresponding module;

[0064] S5. The detection unit of the product performance detection module performs thickness detection, magnetic property detection, electrical conductivity detection and saturated mechanical property detection on the product. The output unit of the product performance detection module outputs the result of the detection unit, so that the management personnel can evaluate the product quality according to the detection result.

[0065] In S3, the following steps are also included:

[0066] S31. If the temperature analysis unit detects that the temperature of each link in the production module exceeds the upper limit of the set standard range, the temperature processor unit sends a temperature reduction instruction to the temperature adjustment unit, and the temperature adjustment unit controls the temperature reduction component to work. If the temperature analysis unit detects that the temperature of each link in the production module is lower than the lower limit of the set standard range, the temperature processor unit sends a temperature increase instruction to the temperature adjustment unit to control the temperature increase component to work;

[0067] S32. When receiving an abnormal alarm, the manager sends a production suspension instruction through the management platform;

[0068] In S4, the following steps are also included:

[0069] S41, after receiving the production suspension instruction, the control instruction receiving unit in the remote processing module sends the production suspension instruction to the production module to control the production module to suspend operation;

[0070] S42. If an abnormality occurs in the temperature control module, the management personnel monitor the abnormal temperature on the management platform and can send a temperature adjustment instruction through the management platform. The control instruction receiving unit receives the temperature adjustment instruction and transmits the instruction to the temperature adjustment unit. The temperature adjustment unit controls the cooling component and the heating component to perform corresponding actions.

[0071] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A low-loss thin strip production system for oriented silicon steel, comprising a production module, a monitoring module, a remote processing module, a temperature control module, a dynamic control module and a product performance detection module, characterized in that: The production module is used to produce oriented silicon steel strips, the monitoring module is used to monitor the production process of the production module in real time, the remote processing module is used to send control instructions remotely, the temperature control module is used to control the temperature of the production process, the dynamic control module is used to analyze and process the data detected by the monitoring module, and the product performance detection module is used to detect the performance indicators of the produced oriented silicon steel strips; The temperature control module includes a temperature analysis unit, a temperature processor unit and a temperature adjustment unit. The temperature analysis unit analyzes the monitored temperature through intelligent data analysis technology. The temperature processor unit sends a temperature adjustment instruction according to the result of the temperature analysis unit. The temperature adjustment unit includes a cooling component and a heating component. The temperature adjustment unit receives the control instruction of the temperature processor unit and controls the cooling component and the heating component to work according to the control instruction. The remote processing module includes a communication transmission unit and a control instruction receiving unit. The communication transmission unit sends the data collected by the monitoring module to the management platform through wireless communication technology. The control instruction receiving unit is used to receive the control instructions sent by the management personnel from the management platform and transmit the control instructions to the corresponding module.

2. A low-loss thin strip production system for oriented silicon steel according to claim 1, characterized in that: When the temperature analysis unit detects that the temperature of each link in the production module exceeds the set standard range, the temperature processor unit sends a cooling or heating instruction to the temperature adjustment unit, and the temperature adjustment unit controls the operation of the cooling component or the heating component. The cooling component includes a cooling device for the continuous annealing furnace, and the heating component includes an electric heater.

3. The low-loss thin strip production system of oriented silicon steel according to claim 1, characterized in that: The production module includes a cold rolling unit and an annealing unit. The cold rolling unit uses a cold rolling mill to perform cold rolling operations on ordinary oriented silicon steel raw materials. During the cold rolling process of the raw materials by the cold rolling unit, the deformation rate is guaranteed to be within a certain range. The annealing unit uses a continuous annealing furnace to anneal the raw materials processed by the cold rolling unit. During the annealing process of the annealing unit, the annealing speed is guaranteed to be stable within a certain range.

4. The low-loss thin strip production system of oriented silicon steel according to claim 1, characterized in that: The monitoring module includes a temperature monitoring unit and a picture acquisition unit. The temperature monitoring unit includes a temperature sensor set in each unit in the production module. The picture acquisition unit includes an intelligent AI camera. The temperature sensor collects the temperature of each unit in the production module in real time. The intelligent AI camera is implanted with an algorithm to automatically capture the working process picture of each unit in the production module in real time.

5. The low-loss thin strip production system of oriented silicon steel according to claim 1, characterized in that: The dynamic control module uses image processing technology to enhance and denoise the working process images transmitted by the monitoring module, and uses deep learning and computer vision technology to perform real-time analysis and processing on the processed working process images, automatically identifying key events and abnormal situations in the production module, and sending alarms to the management platform when abnormal situations are identified.

6. A low-loss thin strip production system for oriented silicon steel according to claim 5, characterized in that: The production module and the temperature adjustment unit receive control instructions from the remote processing module, and the control instructions from the remote processing module have a higher priority than the control instructions from the temperature processor unit.

7. A low-loss thin strip production system for oriented silicon steel according to claim 1, characterized in that: The product performance detection module includes a detection unit and an output unit. The detection unit includes thickness detection, magnetic property detection, electrical conductivity detection and saturated mechanical property detection. The thickness detection is used to measure the thickness of the oriented silicon steel strip product produced by the production module to determine whether the product thickness meets the standard. The magnetic property detection is used to evaluate whether the magnetic permeability of the product meets the standard. The electrical conductivity detection is used to evaluate whether the resistivity of the product is stable. The mechanical property detection is used to evaluate the tensile strength of the product. The output unit outputs the detection result of the detection unit through the LED display screen and sends the detection result to the management platform.

8. A method for producing low-loss thin strips of oriented silicon steel, applicable to a system for producing low-loss thin strips of oriented silicon steel as claimed in any one of claims 1 to 7, characterized in that: The production method is as follows: S1. The cold rolling unit of the production module performs cold rolling operation on the common oriented silicon steel raw material through the cold rolling mill while ensuring that the deformation rate is within a certain range. The annealing unit anneals the cold-rolled raw material within a set temperature range through a continuous annealing furnace to ensure that the annealing speed is stable within a certain range. S2. The temperature monitoring unit of the monitoring module monitors the temperature of the cold rolling unit and the annealing unit in real time through the temperature sensor, and the image acquisition unit automatically captures the working process image of the production module through the intelligent AI camera in real time; S3, the dynamic control module enhances and denoises the working process images collected by the image acquisition unit in the monitoring module, analyzes and processes the processed working process images in real time through deep learning and computer vision technology, and sends an alarm to the management platform when an abnormal situation is identified. The temperature control module receives the temperature data monitored in real time by the temperature monitoring unit; S4, the communication transmission unit of the remote processing module sends the data collected by the monitoring module to the management platform, and the control instruction receiving unit receives different control instructions sent by the management personnel from the management platform and transmits the control instructions to the corresponding module; S5. The detection unit of the product performance detection module performs thickness detection, magnetic property detection, electrical conductivity detection and saturated mechanical property detection on the product. The output unit of the product performance detection module outputs the result of the detection unit, so that the management personnel can evaluate the product quality according to the detection result.

9. The method for producing a low-loss thin strip of oriented silicon steel according to claim 8, characterized in that: In S3, the following steps are also included: S31. If the temperature analysis unit detects that the temperature of each link in the production module exceeds the upper limit of the set standard range, the temperature processor unit sends a temperature reduction instruction to the temperature adjustment unit, and the temperature adjustment unit controls the temperature reduction component to work. If the temperature analysis unit detects that the temperature of each link in the production module is lower than the lower limit of the set standard range, the temperature processor unit sends a temperature increase instruction to the temperature adjustment unit to control the temperature increase component to work; S32. When receiving an abnormal alarm, the manager sends a production suspension instruction through the management platform; In S4, the following steps are also included: S41, after receiving the production suspension instruction, the control instruction receiving unit in the remote processing module sends the production suspension instruction to the production module to control the production module to suspend operation; S42. If an abnormality occurs in the temperature control module, the management personnel monitor the abnormal temperature on the management platform and can send a temperature adjustment instruction through the management platform. The control instruction receiving unit receives the temperature adjustment instruction and transmits the instruction to the temperature adjustment unit. The temperature adjustment unit controls the cooling component and the heating component to perform corresponding actions.

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