Air Cooling Fault and Optimal Air Cooling Processing System and Method for High-Speed Wire Finishing Rolling Drive System

Abstract

The present invention provides a processing system and method for air-cooling faults and optimal air-cooling of a high-speed wire finishing rolling drive system, which relates to the technical field of iron and steel production. It includes an intelligent air-cooling quantitative detection and identification channel control system, an air-cooling fault interlock control and air-cooling fault fast processing system, an optimal cooling effect control and optimal fault identification control system, and a combined optimal superposition control and multi-dimensional big data diagnosis system. The intelligent air-cooling quantitative detection and identification channel control system is used for quantitatively collecting and controlling the air-cooling cycle in the power unit cabinet. The present invention can ensure the optimal cooling and the lowest failure rate of the power component unit of the high-speed wire finishing rolling LCI drive system, save the consumption of spare parts costs, and greatly improve the production rolling operation rate. At the same time, it can reduce the steel piling at the production rolling site, increase the output, reduce the production cost per ton of steel, reduce the consumption of energy media at the production rolling site, and achieve a significant reduction in production costs.

Description

Technical Field

[0001] The present invention relates to the technical field of steel production, and particularly to a processing system and method for air-cooling faults and optimal air-cooling of a high-speed wire finishing rolling drive system. Background Art

[0002] The power control component of the high-speed wire finishing rolling LCI drive system is composed of four power unit components. Among these four power component units, the heat generation is particularly large, and the adopted cooling method is air-cooling. However, there is no accurately quantified air-cooling control process diagnosis, nor accurate quantitative analysis of the cooling effect. At the same time, the failure rate of the entire control process is very high. Once a corresponding air-cooling fault occurs, it will cause the corresponding finishing rolling mill unit to trip, and then lead to steel piling up.

[0003] The existing technology is specifically manifested in the following aspects: Firstly, the lack of accurately quantified air-cooling control process diagnosis will lead to the out-of-control of the entire air-cooling channel and cooling effect, and then cause the burnout of related components in the power component unit. On the one hand, it will lead to the interruption of production and the reduction of output, and at the same time, it will increase the spare parts cost of the finishing rolling drive system. Secondly, the lack of accurate quantitative analysis of the cooling effect will lead to the mismatch of the entire cooling curve, which will cause related components to be impacted by large temperature differences, and then seriously affect the service life of the components in the related power component unit, increasing the spare parts cost. Finally, the high failure rate of the entire control process will lead to irregular interruptions in the production process, resulting in a significant reduction in the production rolling operation rate. At the same time, it will cause a large amount of waste of energy media at the production rolling site, increasing the production cost per ton of steel. Therefore, the present invention proposes a processing system and method for air-cooling faults and optimal air-cooling of a high-speed wire finishing rolling drive system to solve the problems existing in the prior art. Summary of the Invention

[0004] In view of the above problems, the present invention proposes a processing system and method for air-cooling faults and optimal air-cooling of a high-speed wire finishing rolling drive system. The processing system and method for air-cooling faults and optimal air-cooling of the high-speed wire finishing rolling drive system can ensure the optimal cooling and the lowest failure rate of the power component unit of the high-speed wire finishing rolling LCI drive system, save the consumption of spare parts cost, and greatly improve the production rolling operation rate. At the same time, it can reduce the steel piling up at the production rolling site, increase the output, reduce the production cost per ton of steel, reduce the consumption of energy media at the production rolling site, and achieve a significant reduction in production cost.

[0005] To achieve the objectives of the present invention, the present invention is implemented through the following technical solutions: an air-cooling failure and optimal air-cooling processing system for a high-speed wire finishing rolling drive system, including an intelligent air-cooling quantization detection and identification channel control system, an air-cooling failure interlock control and air-cooling failure fast processing system, an optimal cooling effect control and optimal failure identification control system, and a combined optimal superposition control and multi-dimensional big data diagnosis system. The intelligent air-cooling quantization detection and identification channel control system is used for quantitatively collecting and controlling the air-cooling cycle in the power unit cabinet, and is also used for optimizing the control of the input and terminal processing of the air-cooling identification channel of the finishing rolling drive system. The air-cooling failure interlock control and air-cooling failure fast processing system is used for controlling and matching the air-cooling quantization identification results with each operating unit of the finishing rolling drive system and for control interlock, and is also used for dynamically adjusting and combining the air-cooling flow channel system and the embedded input matching control system.

[0006] The optimal cooling effect control and optimal failure identification control system is used for quantitatively collecting the system temperature of the power unit of the finishing rolling drive system in real time, and for intelligently analyzing and diagnosing and dynamically adjusting all system temperature big data, and is also used for cross-matching control of the air intake identification acquisition control system and the quantization threshold balance control system. The combined optimal superposition control and multi-dimensional big data diagnosis system is used for double superposition control of the input and output ends of the optimal cooling effect quantization model control system and the optimal failure identification model control system of the finishing rolling drive system, and is also used for adjusting the warning control of multiple control ends, and for establishing a big data acquisition library and an intelligent analysis system.

[0007] A further improvement lies in that: the intelligent air-cooling quantization detection and identification channel control system is used for designing an intelligent air-cooling quantization detection system for the power unit to accurately control the air-cooling quantization; and is also used for designing an optimized control system for the air-cooling identification channel of the finishing rolling drive system to optimize the control of the air-cooling quantization identification of the finishing rolling drive system.

[0008] The power unit refers to the power control components of the high-speed wire finishing rolling LCI drive system. The specific sub-cabinet control systems are the system one rectification control system, the system one inversion control system, the system two rectification control system, and the system two inversion control system. The air-cooling quantization detection refers to quantitatively identifying through the air duct collection and quantization identifier, and then quantitatively identifying the air-cooling to provide support for the accurate quantization control of the cooling effect. The air-cooling identification channel refers to the identification channel system composed of the air duct collection system, the input connection system, and the signal identification link. The input and terminal processing of the air-cooling identification channel refers to the control system designed based on the channel collection and input signal processing. The optimal control of the air-cooling quantization identification of the finishing rolling drive system refers to the identification process control system based on the optimal efficiency and optimal effect.

[0009] The further improvement lies in that: The intelligent air-cooling quantitative detection and identification channel control system is composed of an intelligent air-cooling quantitative detection air volume identification system, an intelligent air-cooling quantitative detection input end acquisition system, an intelligent air-cooling quantitative detection central control end processing system, an identification channel quantitative control system, an identification channel smoothness adjustment control system, and an identification channel port docking control system.

[0010] The further improvement lies in that: The air-cooling fault interlock control and air-cooling fault fast processing system is used to design the air-cooling fault interlock control system for the finishing mill drive system and optimize the matching of the procedural control actions; it is also used to design the intelligent fast processing system for the air-cooling fault of the finishing mill drive system to intelligently process the air-cooling fault of the finishing mill drive system.

[0011] The air-cooling fault interlock control refers to an associated control system designed based on the condition identification and condition confirmation of the entire finishing mill drive control system; the air-cooling quantitative identification result refers to the accurate result obtained through the data acquisition and data analysis of the air-cooling identification; each operating unit refers to each operating process of the finishing mill drive system and the system components in each process; the air-cooling fault means that within the power unit components, after air-cooling, the relevant system temperature cannot reach the standard control range; the fault intelligent fast processing refers to the intelligent dynamic adjustment of the entire input end and the intermediate control end based on the preset process and control unit, and then obtaining the optimal cooling effect.

[0012] The further improvement lies in that: The air-cooling fault interlock control and air-cooling fault fast processing system is composed of an air-cooling fault interlock control condition identification system, an air-cooling fault interlock control logic connection system, an air-cooling fault interlock control judgment output system, an air-cooling fault fast processing air duct acquisition end control system, an air-cooling fault fast processing process connection end control system, and an air-cooling fault fast processing comprehensive output end control system.

[0013] The further improvement lies in that: The optimal cooling effect control and optimal fault identification control system is used to design the optimal cooling effect quantitative model control system for the finishing mill drive system, and is also used to design the optimal fault identification model control system for the finishing mill drive system to optimize the control of the fault identification model.

[0014] The optimal cooling effect quantification model refers to a comprehensive control model established based on the actual system temperature of the power unit and the precise quantification and identification of the cold air channel; the real-time quantitative acquisition of the system temperature of the finishing mill drive system power unit refers to the precise quantification and identification and data acquisition through the temperature identifier located inside the power component of the power unit; the intelligent dynamic adjustment refers to the multi-dimensional intelligent control through the cooling source, i.e., the cooling channel; the optimal fault identification model control refers to a comprehensive identification control system designed based on the fault process judgment, fault threshold confirmation, and fault signal diagnosis; the quantitative threshold balance control system refers to a control system designed based on the threshold control and associated output of the air-cooling quantitative identification and output processing unit; the cross-matching control refers to the cross-matching control of the thresholds in each interval and the system temperature, and then the dynamic adjustment.

[0015] The further improvement lies in that: the optimal cold effect control and optimal fault identification control system is composed of the system temperature acquisition control system of the optimal cooling effect control system, the data diagnosis control system of the optimal cooling effect control, the dynamic adjustment control system of the optimal cooling effect control, the threshold control system of the optimal fault identification control valve, the interval optimization control system of the optimal fault identification control, and the integrated output control system of the optimal fault identification control.

[0016] The further improvement lies in that: the combined optimal superposition control and multi-dimensional big data diagnosis system is used to design a dual-model combined optimal superposition control system, and is also used to design a multi-dimensional visualization warning system and a big data diagnosis system, and through the innovative optimization of the warning control of multiple control ends, the multi-dimensional intelligent warning is realized;

[0017] The dual-model combined optimal superposition control refers to a comprehensive control system designed by combining and superposing the input and output variables of two independent models; the dual superposition control of the input and output ends of the dual system refers to the dual-end matching control realized through the dual superposition channels of signal superposition and output superposition; the optimization of the overall control effect means that it can ensure both the optimal cooling effect and the lowest failure rate; the multi-dimensional visualization warning system refers to a visualization display warning system integrally designed based on multiple control processes and control units; the big data diagnosis system refers to a comprehensive diagnosis system designed through big data acquisition and big data controllable intelligent diagnosis; the big data acquisition library and the intelligent analysis system ensure the optimal cooling and the lowest failure rate operation of the entire power unit through real-time dynamic diagnosis and analysis.

[0018] The further improvement lies in that: the combined optimal superposition control and multi-dimensional big data diagnosis system is composed of the input-end matching control system of the combined optimal superposition control, the output-end matching control system of the combined optimal superposition control, the process adjustment control system of the combined optimal superposition control, the power-end control system of the multi-dimensional big data diagnosis, the excitation-end control system of the multi-dimensional big data diagnosis, and the control-end adjustment system of the multi-dimensional big data diagnosis.

[0019] Air cooling fault and optimal air cooling treatment method for the high-speed wire finishing drive system, including the following steps:

[0020] Step 1: Design an intelligent air cooling quantization detection system for the power unit, and perform quantization acquisition and quantization control on the air cooling cycle inside the power unit cabinet, and then perform air cooling quantization control;

[0021] Step 2: Design an optimized control system for the air cooling identification channel of the finishing drive system, and perform process optimal control on the input and terminal processing of the air cooling identification channel of the finishing drive system, and then perform optimal control on the air cooling quantization identification of the finishing drive system;

[0022] Step 3: Design an air cooling fault interlock control system for the finishing drive system, and perform control matching and control interlock between the air cooling quantization identification result and each operating unit of the finishing drive system, and then realize the optimal matching of the process control actions;

[0023] Step 4: Design an intelligent and rapid processing system for the air cooling fault of the finishing drive system, and perform dynamic adjustment and combined optimization on the air cooling flow channel system and the embedded input matching control system, and then perform intelligent processing on the air cooling fault of the finishing drive system;

[0024] Step 5: Design an optimal cooling effect quantization model control system for the finishing drive system, perform real-time quantization acquisition on the system temperature of the power unit of the finishing drive system, and at the same time perform intelligent analysis and diagnosis on all system temperature big data, and perform intelligent dynamic adjustment, and then ensure the best cooling effect;

[0025] Step 6: Design an optimal fault identification model control system for the finishing drive system, perform cross-matching control on the air intake identification acquisition control system and the quantization threshold balance control system, and then perform optimal control on the fault identification model;

[0026] Step 7: Design a dual-model combination optimal superposition control system, perform dual superposition control on the input and output ends of the optimal cooling effect quantization model control system of the finishing drive system and the optimal fault identification model control system of the finishing drive system, and then perform overall optimal control;

[0027] Step 8: Design a multi-dimensional visualization warning system and a big data diagnosis system, adjust the warning control of multiple control ends, and at the same time establish a big data acquisition library and an intelligent analysis system, and then realize multi-dimensional intelligent warning.

[0028] The beneficial effects of the present invention are:

[0029] 1. The present invention performs precise quantitative control on air cooling, conducts optimal control on the quantitative identification of air cooling for the finishing rolling drive system, optimally matches the procedural control actions, intelligently and quickly processes the air cooling faults of the finishing rolling drive system, collects, intelligently analyzes, diagnoses, and adjusts the system temperature of the power unit of the finishing rolling drive system in real time and quantitatively, conducts cross-matching control on the air intake identification acquisition control system and the quantitative threshold balance control system, performs dual superposition control on the input and output ends of the finishing rolling drive system, and conducts multi-dimensional intelligent early warning on multiple control ends. In summary, it can ensure the optimal cooling and the lowest failure rate of the power component unit of the high-speed wire finishing LCI drive system, save the consumption of spare parts costs, greatly improve the production rolling operation rate, reduce the steel piling at the production rolling site, increase the output, reduce the production cost per ton of steel, reduce the consumption of energy media at the production rolling site, and achieve a significant reduction in production costs.

[0030] 2. Through innovative design of the identification processing and quantitative transfer, the present invention realizes the precise quantitative identification of the air cooling control of the power unit of the finishing rolling LCI drive system; through innovative design of the logical connection and judgment output, it realizes the optimal control of the interlock protection and rapid fault handling; through innovative design of the double-optimal control link, it realizes the optimal control of the effect control and fault diagnosis; through innovative design of the superposition combination method and the data diagnosis model, it realizes the optimal control of the combined superposition control. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is a system schematic diagram of the present invention;

[0032] Figure 2 is a method flow chart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] To deepen the understanding of the present invention, the following will further elaborate on the present invention in combination with embodiments. These embodiments are only used to explain the present invention and do not constitute a limitation on the protection scope of the present invention.

[0034] Embodiment 1

[0035] According to Figure 1 shown, this embodiment proposes a processing system and method for air cooling faults and optimal air cooling of the high-speed wire finishing rolling drive system, including an intelligent air cooling quantitative detection and identification channel control system, an air cooling fault interlock control and air cooling fault rapid processing system, an optimal cooling effect control and optimal fault identification control system, and a combined optimal superposition control and multi-dimensional big data diagnosis system:

[0036] The intelligent air-cooled quantization detection and identification channel control system is used to first design a power unit intelligent air-cooled quantization detection system. By quantifying the acquisition and control of the air-cooled cycle in the power unit cabinet, precise quantization control of the air-cooling is achieved. Then, an optimized control system for the air-cooled identification channel of the finishing rolling drive system is designed. Through optimal control of the input and terminal processing of the air-cooled identification channel of the finishing rolling drive system, optimal control of the air-cooled quantization identification of the finishing rolling drive system is realized.

[0037] The power unit refers to the power control components of the high-speed wire finishing LCI drive system. The specific sub-cabinet control systems are the system one rectifier control system, the system one inverter control system, the system two rectifier control system, and the system two inverter control system. Air-cooled quantization detection refers to quantifying the identification through air duct acquisition and a quantization identifier, thereby realizing the quantization identification of the air-cooling, and providing support for the precise quantization control of the cooling effect. The air-cooled identification channel refers to the identification channel system composed of an air duct acquisition system, an input connection system, and a signal identification link. The input and terminal processing of the air-cooled identification channel refers to the control system designed based on channel acquisition and input signal processing. The optimal control of the air-cooled quantization identification of the finishing rolling drive system refers to the identification process control system based on optimal efficiency and optimal effect.

[0038] The intelligent air-cooled quantization detection and identification channel control system consists of an intelligent air-cooled quantization detection air volume identification system, an intelligent air-cooled quantization detection input end acquisition system, an intelligent air-cooled quantization detection central control end processing system, an identification channel quantization control system, an identification channel smoothness adjustment control system, and an identification channel port docking control system. The intelligent air-cooled quantization detection and identification channel control system realizes the precise quantization identification of the air-cooling control of the power unit of the finishing rolling LCI drive system through innovative design of the identification processing and quantization transfer.

[0039] The air-cooled fault interlock control and air-cooled fault fast processing system is used to first design an air-cooled fault interlock control system for the finishing rolling drive system. By matching and interlocking the air-cooled quantization identification results with each operating unit of the finishing rolling drive system, optimal matching of fast process control actions is realized. Then, an intelligent fast processing system for air-cooled faults in the finishing rolling drive system is designed. Through dynamic adjustment and combined optimization of the air-cooled flow channel system and the embedded input matching control system, intelligent and fast processing of air-cooled faults in the finishing rolling drive system can be achieved.

[0040] The air-cooling fault interlock control refers to an associated control system designed based on the condition recognition and condition confirmation of the entire finishing mill drive control system. The air-cooling quantization recognition result refers to the accurate result obtained through data collection and data analysis of air-cooling recognition. Each operating unit refers to each operating process of the finishing mill drive system and the system components in each process; the air-cooling fault refers to the situation where, inside the power unit components, after being cooled by air-cooling, the relevant system temperature cannot reach the standard control range. The intelligent and rapid fault handling refers to the intelligent dynamic adjustment of the entire input end and intermediate control end based on preset processes and control units, so as to obtain the optimal cooling effect and ensure the safe and stable operation of the entire finishing mill LCI drive system;

[0041] The air-cooling fault interlock control and air-cooling fault rapid handling system consists of an air-cooling fault interlock control condition recognition system, an air-cooling fault interlock control logic connection system, an air-cooling fault interlock control judgment output system, an air-cooling fault rapid handling air duct collection end control system, an air-cooling fault rapid handling process connection end control system, and an air-cooling fault rapid handling comprehensive output end control system. The air-cooling fault interlock control and air-cooling fault rapid handling system realizes the optimal control of interlock protection and fault rapid handling through innovative designs of logical connection and judgment output.

[0042] The optimal cooling effect control and optimal fault recognition control system is used to first design an optimal cooling effect quantization model control system for the finishing mill drive system. Through real-time quantitative collection of the system temperature of the power units in the finishing mill drive system, and at the same time, intelligent analysis and diagnosis of all system temperature big data, and intelligent dynamic adjustment, the best cooling effect is ensured; then design an optimal fault recognition model control system for the finishing mill drive system. Through cross-matching control of the air intake recognition collection control system and the quantization threshold balance control system, the optimal control of the fault recognition model is realized;

[0043] The optimal cooling effect quantization model refers to a comprehensive control model established based on the actual system temperature of the power unit and the accurate quantization recognition of the air-cooling channel. The real-time quantitative collection of the system temperature of the power units in the finishing mill drive system refers to the accurate quantitative recognition and data collection through the temperature identifier located inside the power components of the power unit. The intelligent dynamic adjustment refers to the multi-dimensional intelligent regulation through the cooling source, that is, the cooling channel; the optimal fault recognition model control refers to a comprehensive recognition control system designed based on fault process judgment, fault threshold confirmation, and fault signal diagnosis. The quantization threshold balance control system refers to a control system designed based on the threshold control and associated output of air-cooling quantization recognition and output processing units. The cross-matching control refers to cross-matching the thresholds of each interval with the system temperature to achieve efficient dynamic adjustment;

[0044] The optimal cooling effect control and optimal fault identification control system consists of the temperature acquisition control system of the optimal cooling effect control system, the data diagnosis control system of the optimal cooling effect control, the dynamic adjustment control system of the optimal cooling effect control, the threshold control system of the optimal fault identification control valve, the optimization control system of the optimal fault identification control interval, and the integrated output control system of the optimal fault identification control. The optimal cooling effect control and optimal fault identification control system realizes the optimal control of effect control and fault diagnosis through innovative design of the double-optimal control link.

[0045] The combined optimal superposition control and multi-dimensional big data diagnosis system is used to first design a double-model combined optimal superposition control system, and through the double superposition control of the input and output ends of the optimal cooling effect quantization model control system of the finishing mill drive system and the optimal fault identification model control system of the finishing mill drive system, the optimal overall control effect is realized; then design a multi-dimensional visualization warning system and a big data diagnosis system, and through the innovative optimization of the warning control of multiple control ends, and at the same time establish a big data acquisition library and an intelligent analysis system, so as to realize efficient multi-dimensional intelligent warning;

[0046] The double-model combined optimal superposition control refers to a comprehensive control system designed by combining and superposing the input and output variables of two independent models. The double superposition control of the input and output ends of the double system refers to the double-end matching control realized through the double superposition channels of signal superposition and output superposition. The optimality of the overall control effect means that it can ensure both the optimal cooling effect and the lowest failure rate; the multi-dimensional visualization warning system refers to a visualization display warning system designed by integrating multiple control processes and control units. The big data diagnosis system refers to a comprehensive diagnosis system designed through big data acquisition and controllable intelligent diagnosis of big data. The big data acquisition library and the intelligent analysis system can ensure the optimal cooling and the lowest failure rate operation of the entire power unit through real-time dynamic diagnostic analysis;

[0047] The combined optimal superposition control and multi-dimensional big data diagnosis system consists of the input-end matching control system of the combined optimal superposition control, the output-end matching control system of the combined optimal superposition control, the process adjustment control system of the combined optimal superposition control, the power-end control system of the multi-dimensional big data diagnosis, the excitation-end control system of the multi-dimensional big data diagnosis, and the control-end adjustment system of the multi-dimensional big data diagnosis. The combined optimal superposition control and multi-dimensional big data diagnosis system realizes the optimal control of the combined superposition control through innovative design of the superposition combination method and the data diagnosis model.

[0048] Embodiment 2

[0049] According to Figure 2 As shown, this embodiment proposes a processing system and method for the air-cooling fault and optimal air-cooling of the high-speed wire finishing mill drive system, including the following steps:

[0050] Design an intelligent air-cooling quantization detection system for the power unit, and perform quantization acquisition and quantization control on the air-cooling cycle inside the power unit cabinet, and then perform air-cooling quantization control;

[0051] Design an optimized control system for the air-cooling identification channel of the finishing mill drive system, and perform optimal process control on the input and terminal processing of the air-cooling identification channel of the finishing mill drive system, and then perform optimal control on the air-cooling quantization identification of the finishing mill drive system;

[0052] Design an air-cooling fault interlock control system for the finishing mill drive system, and perform control matching and control interlock between the air-cooling quantization identification result and each operating unit of the finishing mill drive system, and then achieve the optimal matching of the process control actions;

[0053] Design an intelligent and rapid processing system for air-cooling faults in the finishing mill drive system, and perform dynamic adjustment and combined optimization on the air-cooling flow channel system and the embedded input matching control system, and then perform intelligent processing on the air-cooling faults in the finishing mill drive system;

[0054] Design an optimal cooling effect quantization model control system for the finishing mill drive system, and perform real-time quantization acquisition of the system temperature of the power unit of the finishing mill drive system, and at the same time perform intelligent analysis and diagnosis on all system temperature big data, and perform intelligent dynamic adjustment, and then ensure the best cooling effect;

[0055] Design an optimal fault identification model control system for the finishing mill drive system, and perform cross-matching control on the air intake identification acquisition control system and the quantization threshold balance control system, and then perform optimal control on the fault identification model;

[0056] Design a dual-model combination optimal superposition control system, and perform double superposition control on the input and output ends of the optimal cooling effect quantization model control system of the finishing mill drive system and the optimal fault identification model control system of the finishing mill drive system, and then perform overall optimal control;

[0057] Design a multi-dimensional visualization warning system and a big data diagnosis system, and adjust the warning control of multiple control terminals, and at the same time establish a big data acquisition library and an intelligent analysis system, and then achieve multi-dimensional intelligent warning.

[0058] The present invention conducts accurate quantitative control on air cooling, performs optimal control on the air cooling quantitative identification of the finishing rolling drive system, optimally matches the procedural control actions, intelligently and quickly processes the air cooling faults of the finishing rolling drive system, collects, intelligently analyzes, diagnoses, and adjusts the system temperature of the power unit of the finishing rolling drive system in real time and quantitatively, conducts cross-matching control on the air intake identification and collection control system and the quantitative threshold balance control system, conducts dual-overlay control on the input and output ends of the optimal cooling effect quantitative model control system of the finishing rolling drive system and the optimal fault identification model control system of the finishing rolling drive system, and conducts multi-dimensional intelligent early warning on multiple control ends. In summary, it can ensure the optimal cooling and the lowest failure rate of the power component unit of the high-speed wire finishing LCI drive system, save the consumption of spare parts costs, and significantly improve the production rolling operation rate. At the same time, it can reduce the steel piling at the production rolling site, increase the output, reduce the production cost per ton of steel, reduce the consumption of energy media at the production rolling site, and achieve a significant reduction in production costs. Moreover, through innovative designs for identification processing and quantitative transfer, the present invention realizes the accurate quantitative identification of the air cooling control of the power unit of the finishing rolling LCI drive system; through innovative designs for logical connection and judgment output, it realizes the optimal control of interlock protection and rapid fault handling; through innovative designs for the double-optimal control link, it realizes the optimal control of effect control and fault diagnosis; through innovative designs for the overlay combination method and the data diagnosis model, it realizes the optimal control of combined overlay control.

[0059] 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 by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. High-speed wire finishing rolling drive system air-cooling fault and optimal air-cooling treatment system, including intelligent air-cooling quantization detection and identification channel control system, air-cooling fault interlock control and air-cooling fault fast processing system, optimal cooling effect control and optimal fault identification control system, combined optimal superposition control and multi-dimensional big data diagnosis system, characterized in that: The intelligent air-cooled quantization detection and identification channel control system is used for quantitatively collecting and controlling the air-cooled cycle in the power unit cabinet, and is also used for optimizing the control process of the input and terminal processing of the air-cooled identification channel of the finishing mill drive system; the air-cooled fault interlock control and air-cooled fault fast processing system is used for controlling and interlocking the air-cooled quantization identification results with each operating unit of the finishing mill drive system, and is also used for dynamically adjusting and combining the air-cooled flow channel system and the embedded input matching control system; The optimal cooling effect control and optimal fault identification control system is used for real-time quantitatively collecting the system temperature of the power unit of the finishing mill drive system, and for intelligent analysis and diagnosis and intelligent dynamic adjustment of all system temperature big data, and is also used for cross-matching control of the air intake identification collection control system and the quantization threshold balance control system; the combined optimal superposition control and multi-dimensional big data diagnosis system is used for double superposition control of the input and output ends of the optimal cooling effect quantization model control system and the optimal fault identification model control system of the finishing mill drive system, and is also used for adjusting the warning control of multiple control ends, and establishing a big data collection library and an intelligent analysis system.

2. The air-cooling fault and optimal air-cooling processing system for the high-speed wire finish rolling drive system according to claim 1, wherein: The intelligent air-cooled quantization detection and identification channel control system is used for designing an intelligent air-cooled quantization detection system for the power unit to achieve precise quantization control of the air cooling; it is also used for designing an optimized control system for the air-cooled identification channel of the finishing mill drive system to achieve optimal control of the air-cooled quantization identification of the finishing mill drive system; The power unit refers to the power control components of the high-speed wire finishing LCI drive system. The specific sub-cabinet control systems are the system one rectifier control system, the system one inverter control system, the system two rectifier control system, and the system two inverter control system; air-cooled quantization detection refers to quantitative identification through an air duct collection and quantization identifier, and then quantitative identification of the air cooling, providing support for precise quantization control of the cooling effect; the air-cooled identification channel refers to an identification channel system composed of an air duct collection system, an input connection system, and a signal identification link; the input and terminal processing of the air-cooled identification channel refers to a control system designed based on channel collection and input signal processing; the optimal control of the air-cooled quantization identification of the finishing mill drive system refers to an identification process control system based on optimal efficiency and optimal effect.

3. The air-cooling fault and optimal air-cooling processing system for the high-speed wire finishing rolling drive system according to claim 2, wherein: The intelligent air-cooled quantization detection and identification channel control system consists of an intelligent air-cooled quantization detection air volume identification system, an intelligent air-cooled quantization detection input end collection system, an intelligent air-cooled quantization detection central control end processing system, an identification channel quantization control system, an identification channel smoothness adjustment control system, and an identification channel port docking control system.

4. The air-cooling fault and optimal air-cooling processing system for the high-speed wire finish rolling drive system according to claim 2, characterized in that: The air-cooled fault interlock control and air-cooled fault fast processing system is used for designing an air-cooled fault interlock control system for the finishing mill drive system to achieve optimal matching of the procedural control actions; it is also used for designing an intelligent fast processing system for the air-cooled faults of the finishing mill drive system to intelligently process the air-cooled faults of the finishing mill drive system; The air-cooling fault interlock control refers to an associated control system designed based on the condition recognition and confirmation of the entire finishing mill drive control system; the air-cooling quantification recognition result refers to the accurate result obtained through data acquisition and data analysis of air-cooling recognition; each operating unit refers to each operating process of the finishing mill drive system and the system components in each process; the air-cooling fault means that within the power unit components, after being cooled by air-cooling, the relevant system temperature cannot reach the standard control range; the intelligent and rapid fault handling refers to the intelligent dynamic adjustment of the entire input end and the intermediate control end based on the preset process and control unit, so as to obtain the optimal cooling effect.

5. The air-cooling fault and optimal air-cooling processing system for the high-speed wire finishing drive system according to claim 4, wherein: The air-cooling fault interlock control and air-cooling fault rapid handling system consists of an air-cooling fault interlock control condition recognition system, an air-cooling fault interlock control logic connection system, an air-cooling fault interlock control judgment output system, an air-cooling fault rapid handling air duct acquisition end control system, an air-cooling fault rapid handling process connection end control system, and an air-cooling fault rapid handling comprehensive output end control system.

6. The air-cooling fault and optimal air-cooling processing system for the high-speed wire finish rolling drive system according to claim 4, wherein: The optimal cooling effect control and optimal fault recognition control system is used to design the optimal cooling effect quantification model control system of the finishing mill drive system, and is also used to design the optimal fault recognition model control system of the finishing mill drive system, and optimize the control of the fault recognition model; The optimal cooling effect quantification model refers to a comprehensive control model established based on the actual system temperature of the power unit and the accurate quantification recognition of the cold air channel; the real-time quantitative acquisition of the system temperature of the power unit of the finishing mill drive system refers to the accurate quantitative recognition and data acquisition through the temperature identifier located inside the power component of the power unit; the intelligent dynamic adjustment refers to the multi-dimensional intelligent control through the cooling source, that is, the cooling channel; The optimal fault recognition model control refers to a comprehensive recognition control system designed based on fault process judgment, fault threshold confirmation, and fault signal diagnosis; the quantitative threshold balance control system refers to a control system designed based on the threshold control and associated output of air-cooling quantification recognition and output processing unit; the cross-matching control refers to the cross-matching control of the thresholds in each interval and the system temperature, and then the dynamic adjustment.

7. The air-cooling fault and optimal air-cooling processing system for the high-speed wire finishing rolling drive system according to claim 6, characterized in that: The optimal cooling effect control and optimal fault recognition control system consists of an optimal cooling effect control system temperature end acquisition control system, an optimal cooling effect control data diagnosis control system, an optimal cooling effect control dynamic adjustment control system, an optimal fault recognition control valve threshold control system, an optimal fault recognition control interval optimization control system, and an optimal fault recognition control integrated output control system.

8. The air-cooling fault and optimal air-cooling processing system for the high-speed wire finishing rolling drive system according to claim 6, characterized in that: The combined optimal superposition control and multi-dimensional big data diagnosis system is used to design a dual-model combined optimal superposition control system, and is also used to design a multi-dimensional visualization warning system and a big data diagnosis system, and realize multi-dimensional intelligent warning through innovative optimization of the warning control of multiple control ends; The optimal superposition control of the dual-model combination refers to a comprehensive control system designed by combining and superposing the input and output variables of two independent models; the dual superposition control of the input and output ends of the dual-system refers to the dual-end matching control achieved through the dual superposition channels of signal superposition and output superposition; the optimality of the overall control effect means that it can ensure both the optimal cooling effect and the lowest failure rate; the multi-dimensional visualization warning system refers to a visualization display warning system designed by integrating multiple control processes and control units; the big data diagnosis system refers to a comprehensive diagnosis system designed through big data collection and controllable intelligent diagnosis of big data; the big data collection library and the intelligent analysis system ensure the optimal cooling and the lowest failure rate operation of the entire power unit through real-time dynamic diagnostic analysis.

9. The air-cooling fault and optimal air-cooling processing system for the high-speed wire finishing drive system according to claim 8, characterized in that: The combined optimal superposition control and multi-dimensional big data diagnosis system consists of the input-end matching control system of the combined optimal superposition control, the output-end matching control system of the combined optimal superposition control, the process adjustment control system of the combined optimal superposition control, the multi-dimensional big data diagnosis power-end control system, the multi-dimensional big data diagnosis excitation-end control system, and the multi-dimensional big data diagnosis control-end adjustment system.

10. The treatment method for the air-cooling failure and optimal air-cooling of the high-speed wire finishing rolling drive system, characterized in that, It includes the following steps: Step 1: Design an intelligent air-cooling quantization detection system for the power unit, and through the quantization collection and quantization control of the air-cooling cycle in the power unit cabinet, and then conduct air-cooling quantization control; Step 2: Design an optimized control system for the air-cooling identification channel of the finishing mill drive system, and through the optimal control of the process of the input and terminal processing of the air-cooling identification channel of the finishing mill drive system, and then conduct optimal control on the air-cooling quantization identification of the finishing mill drive system; Step 3: Design an air-cooling fault interlock control system for the finishing mill drive system, and through the control matching and control interlock of the air-cooling quantization identification result with each operating unit of the finishing mill drive system, and then achieve the optimal matching of the process control actions; Step 4: Design an intelligent and rapid processing system for the air-cooling faults of the finishing mill drive system, and through the dynamic adjustment and combined optimization of the air-cooling flow channel system and the embedded input matching control system, and then conduct intelligent processing on the air-cooling faults of the finishing mill drive system; Step 5: Design an optimal cooling effect quantization model control system for the finishing mill drive system, and through the real-time quantization collection of the system temperature of the power unit of the finishing mill drive system, and at the same time conduct intelligent analysis and diagnosis on all system temperature big data, and conduct intelligent dynamic adjustment, and then ensure the best cooling effect; Step 6: Design an optimal fault identification model control system for the finishing mill drive system, and through the cross-matching control of the air intake identification collection control system and the quantization threshold balance control system, and then conduct optimal control on the fault identification model; Step 7: Design a dual-model combination optimal superposition control system, and through the dual superposition control of the input and output ends of the optimal cooling effect quantization model control system of the finishing mill drive system and the optimal fault identification model control system of the finishing mill drive system, and then conduct optimal control of the whole. Step 8: Design a multi-dimensional visualization warning system and a big data diagnosis system. Adjust the warning control of multiple control terminals, and at the same time establish a big data collection library and an intelligent analysis system to achieve multi-dimensional intelligent warning.

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