Rolling drive motor protection control system and method based on multi-component recognition detection

Abstract

The application provides a protection control system and method for rolling driving motors based on multi-component identification detection, relates to the technical field of steel production, and comprises a winding temperature identification and bearing bush temperature big data recording system, a driving flow identification and high-pressure oil end quantitative identification system, a low-pressure oil end identification and oil top output state diagnosis system, a combined logic identification and combined big data intelligent diagnosis system, and the winding temperature identification and bearing bush temperature big data recording system is used for continuously identifying and recording the winding temperature of a large rolling driving motor; the application ensures the long-period safe and stable operation of the large rolling driving motor, realizes intelligent equipment operation condition diagnosis and intelligent equipment state instruction output, and thus can realize all-weather uninterrupted protection of the large rolling driving motor, ensure the long-period safe and stable operation of the large rolling driving motor in the optimal operation state, and thus can save spare part cost and improve the rolling production rate.

Description

Technical Field

[0001] This invention relates to the field of steel production technology, and in particular to a protection control system and method for rolling drive motors based on multi-component identification and detection. Background Technology

[0002] The large rolling drive motor, namely the double high-speed wire rod finishing synchronous motor, is the drive motor of the entire finishing mill unit and is very important. However, the protection of the motor's various operating conditions mainly relies on the on-site personnel to check and confirm the operation every 2 hours. This existing technology has great drawbacks and defects.

[0003] Firstly, the protection of the motor's various operating conditions mainly relies on personnel checking and verifying them every two hours. This cannot achieve uninterrupted monitoring and status protection of critical equipment, leading to motor burnout or deterioration when abnormal conditions or states occur, resulting in a significant increase in spare parts costs and consequently, an increase in the overall cost per ton of steel production. It can also lead to prolonged rolling mill shutdowns, i.e., prolonged equipment accidents. Secondly, relying on personnel checking and verifying the motor's various operating conditions every two hours places very high demands on the personnel. If personnel are not meticulous in their work, damage to critical equipment can occur due to incomplete verification of relevant key data and conditions, again leading to increased spare parts costs and production interruptions. Finally, relying on personnel checking and verifying the motor's various operating conditions every two hours cannot form an uninterrupted big data system or an intelligent big data diagnostic system, thus failing to provide strong and reliable operating environment support for critical large-scale motor equipment. Therefore, this invention proposes a protection control system and method for rolling mill drive motors based on multi-component identification and detection to solve the problems existing in the prior art. Summary of the Invention

[0004] To address the aforementioned issues, this invention proposes a protection control system and method for rolling drive motors based on multi-component identification and detection. This protection control system and method for rolling drive motors based on multi-component identification and detection ensures the safe and stable operation of large rolling drive motors over long periods. Furthermore, it achieves intelligent equipment operating condition diagnosis and intelligent equipment status command output, thereby enabling uninterrupted protection of large rolling drive motors around the clock.

[0005] To achieve the objectives of this invention, the invention is implemented through the following technical solution: a protection and control system for a rolling drive motor based on multi-component identification and detection, including a winding temperature identification and bearing temperature big data recording system, a drive flow identification and high-pressure oil end quantification identification system, a low-pressure oil end identification and oil top output status diagnosis system, and a combined logic identification and combined big data intelligent diagnosis system. The winding temperature identification and bearing temperature big data recording system is used for continuous identification and recording of the winding temperature of a large rolling drive motor, and also for full-process identification of bearing temperature big data. The drive flow identification and high-pressure oil end quantification identification system is used for quantifying and identifying the high and low pressure oil drive flow rates, and also for optimizing the matching data drift amount and quantifying the acquisition of the high-pressure oil end pressure of the bearing.

[0006] The low-pressure oil terminal identification and oil top output status diagnosis system is used for static and dynamic dual-state error correction and adjustment, and quantitative identification of the low-pressure oil terminal pressure of the bearing bush; it is also used for dynamic acquisition and identification of parameters of each section of the high-pressure oil top output operation status and various status feedbacks, and for full-domain intelligent control of the high-pressure oil top output operation status; the combined logic identification and combined big data intelligent diagnosis system is used for combined logic design of various status data and variable signals, and for intelligent control of field equipment protection and key condition confirmation; it is also used for logic diagnosis and condition interval diagnosis of big data, and for intelligent diagnosis and visualization information output of the comprehensive optimal operating conditions of large rolling drive motors.

[0007] Further improvements include: the winding temperature identification and bearing temperature big data recording system is designed with a temperature identification component at the winding end of the large rolling drive motor, and an anti-interference signal transmission unit is designed simultaneously; a temperature conductivity identification component is added to the near-end spacer layer of the bearing, and an anti-oil interference unit is designed simultaneously.

[0008] Large rolling drive motors refer to synchronous motors used in high-speed wire rod mills; continuous motor winding temperature identification and recording refers to the quantitative acquisition and real-time storage and recording of winding temperatures of high-speed wire rod mill synchronous motors, forming a big data system; anti-interference signal transmission unit refers to a control system that can prevent interference during signal transmission; bearing temperature big data recording system refers to the use of resistance temperature sensors to identify the conduction temperature of bearings with short intervals in high-speed wire rod mills, and then transmit the data; anti-oil interference unit refers to a comprehensive protection control system built to prevent oil spraying from the oil circuits around the bearings or in abnormal situations.

[0009] Further improvements are made in that the winding temperature identification and bearing temperature big data recording system consists of a winding temperature identification sensing component control system, a winding temperature identification anti-interference control system, a winding temperature identification signal transmission control system, a bearing temperature big data recording interval conduction control system, a bearing temperature big data recording output detection control system, and a bearing temperature big data recording error correction control system.

[0010] Further improvements include: the drive flow identification and high-pressure oil terminal quantification identification system adds a flow identification component in the middle section of the high and low pressure oil drive, and simultaneously designs data conversion and interference factor shielding components; and adds a digital display identification and quantification acquisition unit at the high-pressure oil terminal of the bearing.

[0011] Quantitative identification of high and low pressure oil drive flow refers to the quantitative acquisition and data recording of flow at the output end of the integrated high-pressure and low-pressure oil supply system; the flow identification component is embedded in the high-pressure and low-pressure oil pipeline assembly to quantitatively control the output flow; the data conversion and interference factor shielding component refers to the control system that can perform practical conversion of the acquired data and prevent interference in signal transmission; high-pressure oil end-point quantitative identification refers to the pressure acquisition based on the high-pressure oil at the bearing end to control the continuous balance of pressure; matching data drift optimization refers to data optimization and adjustment based on the inherent deviation of the acquisition unit.

[0012] Further improvements are made in that: the drive flow recognition and high-pressure oil terminal quantization recognition system consists of a drive flow recognition embedded component control system, a drive flow recognition interface output control system, a drive flow recognition signal output control system, a high-pressure oil terminal quantization recognition component position control system, a high-pressure oil terminal quantization recognition signal diagnosis control system, and a high-pressure oil terminal quantization recognition pressure recognition and transmission control system.

[0013] A further improvement is made in that the low-pressure oil end identification and oil top output status diagnosis system adds a digital display identification and quantitative acquisition unit to the low-pressure oil end of the bearing bush;

[0014] The low-pressure oil pressure terminal pressure quantification identification of bearing bushes refers to the precise quantification identification and acquisition of low-pressure bearing bush terminals, distinct from high-pressure oil pressure identification and acquisition. Static and dynamic dual-state error correction and adjustment refers to matching data correction and deviation adjustment based on dynamic and static error characteristics. The oil cap output status diagnostic system refers to a comprehensive control system integrating identification, acquisition, and diagnosis, designed based on the detailed operating status of the high-pressure oil cap output terminal. Parameters for each section refer to the detailed characteristic parameters of each characteristic section of the entire output process. Dynamic acquisition of various status feedbacks refers to the dynamic identification and tracking of key variables based on specific elements for control.

[0015] Further improvements are made in that: the low-pressure oil end identification and oil top output status diagnosis system consists of a low-pressure oil end identification sensor component control system, a low-pressure oil end identification anti-interference control system, a low-pressure oil end identification signal optimization output control system, an oil top output status diagnosis interval parameter control system, an oil top output status diagnosis condition superposition control system, and an oil top output status diagnosis transmission control system.

[0016] Further improvements are made in the following aspects: In the combined logic recognition and combined big data intelligent diagnostic system, the combined logic recognition is specifically constructed as a combined logic recognition logic chain instruction output control system, which refers to a combined logic judgment and combined logic instruction output control system designed based on various key variable data, key state signals, and interval characteristic parameters; the field equipment protection refers to the comprehensive condition protection of equipment operation designed based on condition confirmation and condition diagnosis; the intelligent control of key condition confirmation refers to the intelligent control of condition confirmation achieved through logic operation and status monitoring; the combined big data intelligent diagnostic system refers to the comprehensive intelligent diagnosis and comprehensive status output control system achieved based on big data system and intelligent logic judgment and intelligent logic combination; and the logic diagnosis and condition interval diagnosis of big data refers to the logic diagnosis control designed based on big data intelligent diagnostic information and condition recognition information.

[0017] Further improvements are made in that: the combined logic recognition and combined big data intelligent diagnosis system consists of a combined logic recognition multivariate feature combination control system, a combined logic recognition logic operation control system, a combined logic recognition instruction transmission control system, a combined big data intelligent diagnosis data superposition control system, a combined big data intelligent diagnosis key condition output control system, and a combined big data intelligent diagnosis instruction output control system.

[0018] A protection and control method for rolling drive motors based on multi-component identification and detection includes the following steps:

[0019] Step 1: Design a continuous temperature identification and recording system for rolling drive motor windings. This is achieved by designing temperature identification components at the winding ends of large rolling drive motors and simultaneously designing an anti-interference signal transmission unit to continuously identify and record winding temperatures.

[0020] Step 2: Design a rolling drive motor bearing temperature big data recording system. By adding a temperature conductivity identification component to the near-end spacer layer of the bearing and simultaneously designing an oil interference prevention unit, the bearing temperature big data can be identified throughout the entire process.

[0021] Step 3: Design a high and low pressure oil drive flow process identification system. By adding a flow identification component in the middle of the high and low pressure oil drive, and simultaneously designing data conversion and interference factor shielding components, the high and low pressure oil drive flow can be quantitatively identified.

[0022] Step 4: Design a quantitative identification system for the high-pressure hydraulic terminal of the bearing bush. This system involves adding a digital display identification and quantitative acquisition unit to the high-pressure hydraulic terminal of the bearing bush and optimizing the matching data drift to quantitatively acquire the pressure at the high-pressure hydraulic terminal of the bearing bush.

[0023] Step 5: Design a quantitative identification system for the low-pressure oil pressure terminal of the bearing bush. By adding a digital display identification and quantitative acquisition unit to the low-pressure oil pressure terminal of the bearing bush and performing static and dynamic dual-state error correction adjustment, the pressure of the high-pressure oil pressure terminal of the bearing bush can be quantitatively identified.

[0024] Step Six: Design a real-time diagnostic system for the high-pressure oil top-outlet output operation status. This system dynamically collects and identifies parameters of each segment of the high-pressure oil top-outlet output operation status and various status feedbacks, thereby enabling full-domain intelligent control of the high-pressure oil top-outlet output operation status.

[0025] Step 7: Design a combinational logic identification logic interlocking instruction output control system. By designing combinational logic for various state data and variable signals, intelligent control can be achieved for the protection of field equipment and the confirmation of key conditions.

[0026] Step 8: Design a combined big data intelligent diagnostic system. By performing logical and conditional interval diagnostics on big data, the system can intelligently diagnose and output visualized information on the comprehensive optimal operating conditions of large rolling drive motors.

[0027] The beneficial effects of this invention are as follows:

[0028] 1. This invention provides continuous identification and recording of winding temperature, efficient identification of bearing temperature big data throughout the entire process, precise quantitative identification of high and low pressure oil drive flow, precise quantitative acquisition and identification of bearing high pressure oil terminal pressure, precise quantitative identification of bearing high pressure oil terminal pressure, intelligent and controllable full-domain high-pressure oil output operation status, intelligent control of on-site equipment protection and key condition confirmation, and intelligent diagnosis and visual information output of comprehensive optimal operating conditions for large rolling drive motors. In summary, this invention ensures the long-term safe and stable operation of large rolling drive motors and realizes intelligent equipment operating condition diagnosis and intelligent equipment status command output. This enables all-weather uninterrupted protection of large rolling drive motors, ensuring their long-term safe and stable operation in optimal operating conditions. Consequently, it can save spare parts costs, improve rolling production efficiency, and reduce the production cost per ton of steel.

[0029] 2. This invention achieves optimal control of key process variables through innovative design of variable identification and signal transmission; it achieves optimal control of system terminal quantization identification through optimized identification of system terminal components; it achieves optimal control of integrated condition identification through innovative design of variable identification and state identification; and it achieves optimal control of comprehensive logic condition protection through innovative design of logic combination and logic output. Attached Figure Description

[0030] Figure 1 This is a schematic diagram of the system of the present invention;

[0031] Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0032] To enhance understanding of the present invention, the present invention will be further described in detail below with reference to embodiments. These embodiments are only used to explain the present invention and do not constitute a limitation on the scope of protection of the present invention.

[0033] Example 1

[0034] according to Figure 1 As shown, this embodiment proposes a protection and control system for a rolling drive motor based on multi-component identification and detection, including a winding temperature identification and bearing temperature big data recording system, a drive flow identification and high-pressure oil end quantification identification system, a low-pressure oil end identification and oil top output status diagnosis system, and a combinational logic identification and combinational big data intelligent diagnosis system. The winding temperature identification and bearing temperature big data recording system is used to first design a continuous identification and recording system for the winding temperature of a large rolling drive motor. This is achieved by designing a temperature identification component at the winding end of the large rolling drive motor and simultaneously designing an anti-interference signal transmission unit. Then, a large rolling drive motor bearing temperature big data recording system is designed. This is achieved by adding a temperature conductivity identification component to the near-end spacer layer of the bearing and simultaneously designing an anti-oil interference unit. This achieves efficient identification of bearing temperature big data throughout the entire process.

[0035] Large rolling drive motors refer to synchronous motors used in double-high wire rod mills for finishing mills. The uninterrupted identification and recording system for motor winding temperature refers to the quantitative acquisition and real-time storage and recording of winding temperatures from double-high wire rod mill synchronous motors, forming a big data system. The anti-interference signal transmission unit refers to a control system capable of preventing interference during signal transmission. The large rolling drive motor bearing temperature big data recording system refers to a control system that uses resistance temperature sensors to identify the short-interval conductive temperatures of the bearings in double-high wire rod mills, and then transmits the data. The anti-oil interference unit refers to a comprehensive protection control system designed to prevent oil spraying from the oil circuits around the bearings or under abnormal conditions, thus ensuring the safe and stable operation of the entire identification system.

[0036] The winding temperature identification and bearing temperature big data recording system consists of a winding temperature identification sensor component control system, a winding temperature identification anti-interference control system, a winding temperature identification signal transmission control system, a bearing temperature big data recording interval conduction control system, a bearing temperature big data recording output detection control system, and a bearing temperature big data recording error correction control system. Through innovative design of variable identification and signal transmission, the winding temperature identification and bearing temperature big data recording system achieves optimal control of key process variables.

[0037] The aforementioned drive flow identification and high-pressure oil terminal quantification identification system is used to first design a high and low pressure oil drive flow process identification system. By adding a flow identification component in the middle of the high and low pressure oil drive, and simultaneously designing data conversion and interference factor shielding components, the accurate quantification identification of the high and low pressure oil drive flow can be achieved. Then, a bearing high-pressure oil terminal quantification identification system is designed. By adding a digital display identification quantification acquisition unit at the bearing high-pressure oil terminal and performing matching data drift optimization, the accurate quantification acquisition of the bearing high-pressure oil terminal pressure can be achieved.

[0038] The high and low pressure oil-driven flow process identification system refers to the flow quantification acquisition and data recording system at the flow output end of the integrated high-pressure and low-pressure oil supply system. The flow identification component is embedded within the high-pressure and low-pressure oil pipe assemblies, enabling precise quantitative control of the output flow. The data conversion and interference factor shielding component is a control system capable of practically converting the acquired data and preventing interference in signal transmission. The bearing high-pressure oil end-point quantification identification system is a pressure acquisition system designed based on the high-pressure oil at the bearing end. By designing a pressure acquisition system at this location, the continuous balance of pressure can be effectively controlled. Matching data drift optimization refers to optimizing and adjusting the data based on the inherent bias of the acquisition components, thereby ensuring the accuracy and reliability of the acquired data.

[0039] The drive flow identification and high-pressure oil terminal quantization identification system consists of a drive flow identification embedded component control system, a drive flow identification interface output control system, a drive flow identification signal output control system, a high-pressure oil terminal quantization identification component position control system, a high-pressure oil terminal quantization identification signal diagnostic control system, and a high-pressure oil terminal quantization identification pressure identification and transmission control system. By optimizing the identification of the system's terminal components, the drive flow identification and high-pressure oil terminal quantization identification system achieves optimal control of the system's terminal quantization identification.

[0040] The low-pressure oil terminal identification and oil top output status diagnosis system is used to first design a bearing low-pressure oil terminal quantitative identification system. By adding a digital display identification and quantitative acquisition unit to the bearing low-pressure oil terminal and performing static and dynamic dual-state error correction adjustment, the system can achieve accurate quantitative identification of the bearing low-pressure oil terminal pressure. Then, a high-pressure oil top output operation status real-time diagnosis system is designed. By dynamically acquiring and identifying the parameters of each section of the high-pressure oil top output operation status and various status feedbacks, the system can achieve full-domain intelligent control of the high-pressure oil top output operation status.

[0041] The low-pressure oil pressure terminal quantification and identification system for bearing bushes refers to a precise quantification and identification system for low-pressure bearing bush terminals, distinct from high-pressure oil pressure identification and acquisition. Through precise quantification and identification of oil pressure, the absolute reliability of bearing bush lubrication can be ensured. Static and dynamic dual-state error correction and adjustment refers to a control system designed based on dynamic and static error characteristics for matching data correction and deviation adjustment. The high-pressure oil top-mounted output operating status real-time diagnostic system is a comprehensive control system integrating identification, acquisition, and diagnosis based on detailed operating status of the high-pressure oil top-mounted output terminal. Parameters for each segment refer to the detailed characteristic parameters of each characteristic segment of the entire output process. Dynamic acquisition of various state feedbacks refers to a control system that dynamically identifies and tracks key variables based on specific elements.

[0042] The low-pressure oil terminal identification and oil cap output status diagnosis system consists of a low-pressure oil terminal identification sensor component control system, a low-pressure oil terminal identification anti-interference control system, a low-pressure oil terminal identification signal optimization output control system, an oil cap output status diagnosis interval parameter control system, an oil cap output status diagnosis condition superposition control system, and an oil cap output status diagnosis transmission control system. Through innovative design of variable identification and status identification, the low-pressure oil terminal identification and oil cap output status diagnosis system achieves optimized control for integrated condition identification.

[0043] The combined logic recognition and combined big data intelligent diagnostic system is used to first design a combined logic recognition logic interlocking instruction output control system. By performing combined logic design on various state data and variable signals, it can realize intelligent control for field equipment protection and key condition confirmation. Then, it designs a combined big data intelligent diagnostic system. By performing logic diagnosis and condition interval diagnosis on big data, it can realize intelligent diagnosis and visual information output of the comprehensive optimal operating conditions of large rolling drive motors, thereby ensuring the long-term safe and stable operation of the motors.

[0044] Combinatorial logic identification and logic interlocking instruction output control system refers to a combinational logic judgment and combinational logic instruction output control system designed based on various key variable data, key state signals, and interval characteristic parameters. This enables field equipment protection, specifically a comprehensive equipment operation condition protection system designed based on condition confirmation and condition diagnosis. Intelligent control for key condition confirmation refers to intelligent control for condition confirmation achieved through logic operation and status monitoring. A combined big data intelligent diagnostic system refers to a control system based on big data systems and intelligent logic judgment and intelligent logic combination, achieving comprehensive intelligent diagnosis and comprehensive status output. Logic diagnosis and condition interval diagnosis of big data refers to a logic diagnostic control system designed based on intelligent diagnostic information and condition identification information from big data, thereby achieving high efficiency and intelligence in protecting critical equipment.

[0045] The combinational logic recognition and combinational big data intelligent diagnostic system consists of a combinational logic recognition multivariable feature combination control system, a combinational logic recognition logic operation control system, a combinational logic recognition instruction transmission control system, a combinational big data intelligent diagnostic data overlay control system, a combinational big data intelligent diagnostic key condition output control system, and a combinational big data intelligent diagnostic instruction output control system. Through innovative design of logic combination and logic output, the system achieves optimized control for the protection of comprehensive logic conditions.

[0046] Example 2

[0047] according to Figure 2 As shown, this embodiment proposes a protection and control method for rolling drive motors based on multi-component identification and detection, including the following steps:

[0048] Design a continuous temperature identification and recording system for rolling drive motor windings. By designing temperature identification components at the winding ends of large rolling drive motors and simultaneously designing anti-interference signal transmission units, the winding temperature can be continuously identified and recorded.

[0049] Design a rolling drive motor bearing temperature big data recording system. By adding a temperature conductivity identification component to the near-end spacer layer of the bearing and simultaneously designing an oil interference prevention unit, the system can identify bearing temperature big data throughout the entire process.

[0050] Design a high and low pressure oil-driven flow process identification system. By adding a flow identification component in the middle of the high and low pressure oil drive, and simultaneously designing data conversion and interference factor shielding components, the high and low pressure oil-driven flow can be quantitatively identified.

[0051] A quantitative identification system for the high-pressure hydraulic terminal of the bearing bush is designed. By adding a digital display identification and quantitative acquisition unit to the high-pressure hydraulic terminal of the bearing bush and optimizing the matching data drift, the pressure of the high-pressure hydraulic terminal of the bearing bush can be quantitatively acquired.

[0052] A quantitative identification system for the low-pressure hydraulic terminal of the bearing bush is designed. By adding a digital display identification and quantitative acquisition unit to the low-pressure hydraulic terminal of the bearing bush and performing error correction and adjustment in both static and dynamic states, the pressure of the high-pressure hydraulic terminal of the bearing bush can be quantitatively identified.

[0053] Design a real-time diagnostic system for the operating status of high-pressure oil top-outlet oil output. By dynamically collecting and identifying parameters of each section of the high-pressure oil top-outlet oil output operating status and various status feedbacks, the system can achieve full-domain intelligent control of the high-pressure oil top-outlet oil output operating status.

[0054] Design a combinational logic recognition logic interlocking instruction output control system. By designing combinational logic for various state data and variable signals, intelligent control can be achieved for the protection of field equipment and the confirmation of key conditions.

[0055] The system is designed to combine big data intelligent diagnostics. By performing logical and conditional interval diagnostics on big data, it can intelligently diagnose the comprehensive optimal operating conditions of large rolling drive motors and output visualized information.

[0056] This invention provides continuous identification and recording of winding temperature, efficient identification of bearing temperature big data throughout the entire process, precise quantitative identification of high and low pressure oil drive flow, precise quantitative acquisition and identification of bearing high pressure oil terminal pressure, precise quantitative identification of bearing high pressure oil terminal pressure, intelligent and controllable full-domain high pressure oil output operation status, intelligent control for on-site equipment protection and key condition confirmation, and intelligent diagnosis and visualized information output for comprehensive optimal operating conditions of large rolling drive motors. In summary, this ensures the long-term safe and stable operation of large rolling drive motors and achieves intelligent equipment operating condition diagnosis and intelligent equipment status command output. This enables 24 / 7 uninterrupted protection of large rolling drive motors, ensuring their long-term safe and stable operation in optimal operating conditions. Consequently, it saves spare parts costs, increases rolling production efficiency, and reduces the cost per ton of steel produced. Furthermore, this invention achieves optimal control of key process variables through innovative design of variable identification and signal transmission; it achieves optimal control of system terminal quantization identification through optimized identification of system terminal components; it achieves optimal control of integrated condition identification through innovative design of variable identification and state identification; and it achieves optimal control of comprehensive logic condition protection through innovative design of logic combination and logic output.

[0057] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A protection and control system for a rolling mill drive motor based on multi-component identification and detection, including a winding temperature identification and bearing temperature big data recording system, a drive flow identification and high-pressure oil end quantitative identification system, a low-pressure oil end identification and oil top output status diagnosis system, and a combinational logic identification and combinational big data intelligent diagnosis system, characterized in that: The winding temperature identification and bearing temperature big data recording system is used for continuous identification and recording of the winding temperature of large rolling drive motors, and also for full-process identification of bearing temperature big data; the drive flow identification and high-pressure oil terminal quantification identification system is used for quantification identification of high and low pressure oil drive flow, and also for matching data drift optimization, and quantification acquisition of bearing high-pressure oil terminal pressure. The low-pressure oil terminal identification and oil top output status diagnosis system is used for static and dynamic dual-state error correction and adjustment, and quantitative identification of the low-pressure oil terminal pressure of the bearing bush; it is also used for dynamic acquisition and identification of parameters of each section of the high-pressure oil top output operation status and various status feedbacks, and for full-domain intelligent control of the high-pressure oil top output operation status; the combined logic identification and combined big data intelligent diagnosis system is used for combined logic design of various status data and variable signals, and for intelligent control of field equipment protection and key condition confirmation; it is also used for logic diagnosis and condition interval diagnosis of big data, and for intelligent diagnosis and visual information output of the comprehensive optimal operating conditions of large rolling drive motors; The drive flow identification and high-pressure oil terminal quantification identification system adds a flow identification component in the middle section of the high and low pressure oil drive, and simultaneously designs data conversion and interference factor shielding components; and adds a digital display identification and quantification acquisition unit at the high-pressure oil terminal of the bearing. Quantitative identification of high and low pressure oil drive flow refers to the quantitative acquisition and data recording of flow at the output end of the integrated high-pressure and low-pressure oil supply system; the flow identification component is embedded in the high-pressure and low-pressure oil pipeline assembly to quantitatively control the output flow; the data conversion and interference factor shielding component refers to the control system that can perform practical conversion of the acquired data and prevent interference in signal transmission; high-pressure oil end-point quantitative identification refers to the pressure acquisition based on the high-pressure oil at the bearing end to control the continuous balance of pressure; Matching data drift optimization refers to data optimization and adjustment based on the inherent bias of the acquisition unit.

2. The protection and control system for the rolling drive motor based on multi-component identification and detection according to claim 1, characterized in that: The winding temperature identification and bearing temperature big data recording system is designed with a temperature identification component at the winding end of the large rolling drive motor, and an anti-interference signal transmission unit is designed simultaneously; a temperature conductivity identification component is added to the near-end spacer layer of the bearing, and an anti-oil interference unit is designed simultaneously. Large rolling drive motor refers to the precision rolling synchronous motor used in double high-speed wire rod drive precision rolling mill; uninterrupted identification and recording of motor winding temperature refers to the quantitative acquisition and real-time storage and recording of the winding temperature of the double high-speed wire rod precision rolling synchronous motor, thereby forming a big data system; anti-interference signal transmission unit refers to the control system that can play an anti-interference role in the signal transmission process. The bearing temperature big data recording system refers to the use of thermal resistance temperature sensing components to identify the conduction temperature of the bearings of the double high-speed wire rod mill with short intervals, and then transmit the data; the oil interference prevention unit refers to the comprehensive protection and control system built to prevent oil spraying from the oil circuits around the bearings or in abnormal situations.

3. The protection and control system for the rolling drive motor based on multi-component identification and detection according to claim 2, characterized in that: The winding temperature identification and bearing temperature big data recording system consists of a winding temperature identification sensing component control system, a winding temperature identification anti-interference control system, a winding temperature identification signal transmission control system, a bearing temperature big data recording interval conduction control system, a bearing temperature big data recording output detection control system, and a bearing temperature big data recording error correction control system.

4. The protection and control system for the rolling drive motor based on multi-component identification and detection according to claim 3, characterized in that: The drive flow identification and high-pressure oil terminal quantization identification system consists of a drive flow identification embedded component control system, a drive flow identification interface output control system, a drive flow identification signal output control system, a high-pressure oil terminal quantization identification component position control system, a high-pressure oil terminal quantization identification signal diagnosis control system, and a high-pressure oil terminal quantization identification pressure identification and transmission control system.

5. The protection control system for the rolling drive motor based on multi-component identification and detection according to claim 3, characterized in that: The low-pressure oil terminal identification and oil top output status diagnosis system adds a digital display identification and quantitative acquisition unit to the low-pressure oil terminal of the bearing bush. The low-pressure oil pressure terminal pressure quantification identification of bearing bushes refers to the precise quantification identification and acquisition of low-pressure bearing bush terminals, distinct from high-pressure oil pressure identification and acquisition. Static and dynamic dual-state error correction and adjustment refers to matching data correction and deviation adjustment based on dynamic and static error characteristics. The oil cap output status diagnostic system refers to a comprehensive control system integrating identification, acquisition, and diagnosis, designed based on the detailed operating status of the high-pressure oil cap output terminal. Parameters for each section refer to the detailed characteristic parameters of each characteristic section of the entire output process. Dynamic acquisition of various status feedbacks refers to the dynamic identification and tracking of key variables based on specific elements for control.

6. The protection and control system for the rolling drive motor based on multi-component identification and detection according to claim 5, characterized in that: The low-pressure oil terminal identification and oil top output status diagnosis system consists of a low-pressure oil terminal identification sensor component control system, a low-pressure oil terminal identification anti-interference control system, a low-pressure oil terminal identification signal optimization output control system, an oil top output status diagnosis interval parameter control system, an oil top output status diagnosis condition superposition control system, and an oil top output status diagnosis transmission control system.

7. The protection and control system for the rolling drive motor based on multi-component identification and detection according to claim 5, characterized in that: In the aforementioned combinational logic recognition and combinational big data intelligent diagnostic system, the combinational logic recognition is specifically constructed as a combinational logic recognition logic interlocking instruction output control system, which refers to a combinational logic judgment and combinational logic instruction output control system designed based on various key variable data, key state signals, and interval characteristic parameters; the field equipment protection refers to the comprehensive condition protection of equipment operation designed based on condition confirmation and condition diagnosis; the intelligent control of key condition confirmation refers to the intelligent control of condition confirmation achieved through logic operation and status monitoring; the combinational big data intelligent diagnostic system refers to the comprehensive intelligent diagnosis and comprehensive status output control system achieved based on big data system and intelligent logic judgment and intelligent logic combination; and the logic diagnosis and condition interval diagnosis of big data refers to the logic diagnosis control designed based on big data intelligent diagnostic information and condition recognition information.

8. The protection and control system for the rolling drive motor based on multi-component identification and detection according to claim 7, characterized in that: The combined logic recognition and combined big data intelligent diagnosis system consists of a combined logic recognition multivariate feature combination control system, a combined logic recognition logic operation control system, a combined logic recognition instruction transmission control system, a combined big data intelligent diagnosis data superposition control system, a combined big data intelligent diagnosis key condition output control system, and a combined big data intelligent diagnosis instruction output control system.

9. A protection and control method for rolling drive motors based on multi-component identification and detection, characterized in that, Includes the following steps: Step 1: Design a continuous temperature identification and recording system for rolling drive motor windings. This is achieved by designing temperature identification components at the winding ends of large rolling drive motors and simultaneously designing an anti-interference signal transmission unit to continuously identify and record winding temperatures. Step 2: Design a rolling drive motor bearing temperature big data recording system. By adding a temperature conductivity identification component to the near-end spacer layer of the bearing and simultaneously designing an oil interference prevention unit, the bearing temperature big data can be identified throughout the entire process. Step 3: Design a high and low pressure oil drive flow process identification system. By adding a flow identification component in the middle of the high and low pressure oil drive, and simultaneously designing data conversion and interference factor shielding components, the high and low pressure oil drive flow can be quantitatively identified. Step 4: Design a quantitative identification system for the high-pressure hydraulic terminal of the bearing bush. This system involves adding a digital display identification and quantitative acquisition unit to the high-pressure hydraulic terminal of the bearing bush and optimizing the matching data drift to quantitatively acquire the pressure at the high-pressure hydraulic terminal of the bearing bush. Step 5: Design a quantitative identification system for the low-pressure oil pressure terminal of the bearing bush. By adding a digital display identification and quantitative acquisition unit to the low-pressure oil pressure terminal of the bearing bush and performing static and dynamic dual-state error correction adjustment, the pressure of the high-pressure oil pressure terminal of the bearing bush can be quantitatively identified. Step Six: Design a real-time diagnostic system for the high-pressure oil top-outlet output operation status. This system dynamically collects and identifies parameters of each segment of the high-pressure oil top-outlet output operation status and various status feedbacks, thereby enabling full-domain intelligent control of the high-pressure oil top-outlet output operation status. Step 7: Design a combinational logic identification logic interlocking instruction output control system. By designing combinational logic for various state data and variable signals, intelligent control can be achieved for the protection of field equipment and the confirmation of key conditions. Step 8: Design a big data intelligent diagnostic system to perform logical and conditional interval diagnostics on big data, and then perform intelligent diagnostics and visualized information output on the comprehensive optimal operating conditions of large rolling drive motors.

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