An on-line monitoring method for hot continuous rolling laminar cooling roller state

Abstract

The application discloses an online monitoring method for a hot continuous rolling laminar cooling roller bed state, which comprises the following steps: acquiring a roller bed motor current parameter and a roller bed motor speed of the hot continuous rolling laminar cooling roller bed; calculating a roller bed motor current characteristic value based on the roller bed motor current parameter; grading early warning on the hot continuous rolling laminar cooling roller bed state based on the roller bed motor current characteristic value; monitoring whether the roller bed motor is in failure based on the roller bed motor current parameter and the roller bed motor speed in combination with a preset roller bed motor failure characteristic value, and performing failure alarm when the roller bed motor is in failure. The technical scheme of the application can timely find the failure of the hot continuous rolling laminar cooling roller bed and remind maintenance personnel to check, thereby effectively improving product quality.

Description

Technical Field

[0001] This invention relates to the field of automatic control technology for hot rolling, and in particular to an online monitoring method for the condition of laminar flow cooling roller table in hot continuous rolling. Background Technology

[0002] The development of metal pressure processing technology has placed increasingly higher demands on the quality standards of strip products, and this technological development is dependent on the development of rolling mill equipment. The working status and parameters of rolling mill equipment directly affect the quality and production efficiency of strip steel products. Therefore, research on online monitoring and fault diagnosis technology for rolling mill equipment is of paramount importance for steel enterprises to improve their core competitiveness.

[0003] Currently, existing hot strip mill roll condition monitoring solutions can only monitor whether the roller motor frequency converter trips on a group basis, or perform motor insulation tests during maintenance. They cannot achieve real-time tracking of the roller condition. When a single roll experiences a fault such as seizing, it cannot be detected in time, and the frequency converter may even continue to operate, causing a large number of surface scratches on sheet and long products, seriously affecting product quality. Summary of the Invention

[0004] This invention provides an online monitoring method for the condition of laminar flow cooling roller conveyors in hot strip mills. This addresses the shortcomings of existing hot strip mill roller conveyor condition monitoring schemes, which cannot promptly detect and resolve roller conveyor motor faults. These schemes can only monitor roller conveyor motor inverter tripping on a group basis, or perform motor insulation tests during maintenance, failing to provide real-time tracking of the roller conveyor condition. Furthermore, when a single roller experiences faults such as seizure, it cannot be detected in time, and the inverter may even continue to operate, causing scratches on the product surface and severely impacting product quality.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0006] On one hand, the present invention provides an online monitoring method for the condition of laminar flow cooling roller table in hot continuous rolling mill, the online monitoring method for the condition of laminar flow cooling roller table in hot continuous rolling mill includes:

[0007] Obtain the roller motor current parameters and roller motor speed of the hot continuous rolling laminar flow cooling roller table;

[0008] Based on the roller conveyor motor current parameters, calculate the characteristic value of the roller conveyor motor current;

[0009] Based on the characteristic values ​​of the roller conveyor motor current, a graded early warning system is implemented for the status of the hot continuous rolling laminar flow cooling roller conveyor.

[0010] Based on the roller conveyor motor current parameters and speed, combined with preset roller conveyor motor fault characteristic values, the system monitors whether the roller conveyor motor has malfunctioned and issues a fault alarm when a malfunction occurs.

[0011] Furthermore, the current parameters of the roller conveyor motor include: no-load current of the roller conveyor motor, starting current of the roller conveyor motor, on-load current of the roller conveyor motor, and rated current of the roller conveyor motor.

[0012] Furthermore, the characteristic values ​​of the roller conveyor motor current include the daily average value of the roller conveyor motor no-load current, the daily range of the roller conveyor motor no-load current, the daily standard deviation of the roller conveyor motor no-load current, the monthly average value of the roller conveyor motor no-load current, the monthly range of the roller conveyor motor no-load current, the monthly standard deviation of the roller conveyor motor no-load current, the daily maximum starting current of the roller conveyor motor, the monthly average value of the daily maximum starting current of the roller conveyor motor, and the monthly standard deviation of the daily maximum starting current of the roller conveyor motor.

[0013] Furthermore, based on the characteristic values ​​of the roller conveyor motor current, a graded early warning system is implemented for the status of the hot continuous rolling laminar flow cooling roller conveyor, including:

[0014] Calculate the deviation ΔI between the daily average value and the monthly average value of the no-load current of the roller conveyor motor. avg_unload ;

[0015] When ΔI avg_unload In [-S _unload ′ ,S _unload ′ Within [a certain timeframe], no warning will be issued;

[0016] When ΔI avg_unload In [-2S _unload ′ ,-S _unload ′ ] or [S _unload ′ ,2S _unload ′ Within [a certain timeframe], issue a Level 1 warning.

[0017] When ΔI avg_unload In [-3S _unload ′ -2S _unload ′ ] or [2S _unload ′ 3S _unload ′ Within [a certain timeframe], a Level II warning will be issued;

[0018] When ΔI avg_unload In [-∞, -3S _unload ′ ] or [3S _unload ′ When the value is within [+∞], a level 3 warning will be issued;

[0019] Among them, S _unload′ This represents the monthly standard deviation of the no-load current of the roller conveyor motor.

[0020] Furthermore, based on the characteristic values ​​of the roller conveyor motor current, the classification and early warning of the hot continuous rolling laminar flow cooling roller conveyor status also includes:

[0021] Calculate the deviation ΔI between the daily and monthly ranges of the no-load current of the roller conveyor motor. range_unload ;

[0022] When ΔI range_unload When the value is less than 0, no warning is issued;

[0023] When ΔI range_unload In [0, S _unload ′ Within [a certain timeframe], issue a Level 1 warning.

[0024] When ΔI range_unload In [S] _unload ′ ,2S _unload ′ Within [a certain timeframe], a Level II warning will be issued;

[0025] When ΔI range_unload In [2S] _unload ′ When the value is within [+∞], a level 3 warning will be issued.

[0026] Furthermore, based on the characteristic values ​​of the roller conveyor motor current, the classification and early warning of the hot continuous rolling laminar flow cooling roller conveyor status also includes:

[0027] Calculate the deviation ΔI between the monthly average of the daily maximum starting current of the roller conveyor motor and the monthly average of the daily maximum starting current of the roller conveyor motor. avg_start ;

[0028] When ΔI avg_start In [-S _start ′ ,S _start ′ Within [a certain timeframe], no warning will be issued;

[0029] When ΔI avg_unload In [-2S _start ′ ,-S _start ′ ] or [S _start ′ ,2S _start ′ Within [a certain timeframe], issue a Level 1 warning.

[0030] When ΔI avg_start In [-3S _start ′-2S _start ′ ] or [2S _start ′ 3S _start ′ Within [a certain timeframe], a Level II warning will be issued;

[0031] When ΔI avg_start In [-∞, -3S _start ′ ] or [3S _start ′ When the value is within [+∞], a level 3 warning will be issued;

[0032] Among them, S _start ′ This represents the monthly standard deviation of the maximum daily starting current of the roller conveyor motor.

[0033] Furthermore, based on the roller conveyor motor current parameters and roller conveyor motor speed, combined with preset roller conveyor motor fault characteristic values, the system monitors whether a fault has occurred in the roller conveyor motor, and issues a fault alarm when a fault occurs, including:

[0034] When the speed of the roller conveyor motor is greater than 0, it is determined whether the on-load current of the roller conveyor motor is 0. If the on-load current of the roller conveyor motor is 0, it is considered that the motor is at risk of burning out, and a motor burnout warning is output.

[0035] Furthermore, based on the roller conveyor motor current parameters and roller conveyor motor speed, combined with preset roller conveyor motor fault characteristic values, the system monitors whether the roller conveyor motor has malfunctioned, and issues a fault alarm when a malfunction occurs. This also includes:

[0036] Calculate the deviation ΔI between the on-load current of the roller conveyor motor and the fault characteristic value of the roller conveyor motor. out_load ;

[0037] When ΔI out_load If the value is ≥0 and the duration exceeds the preset value, it is determined that the roller conveyor motor is overloaded and an overload warning for the roller conveyor motor is output; where the value of the fault characteristic value of the roller conveyor motor is the rated current of the roller conveyor motor.

[0038] In another aspect, the present invention also provides an electronic device comprising a processor and a memory; wherein the memory stores at least one instruction, which is loaded and executed by the processor to implement the above-described method.

[0039] In another aspect, the present invention also provides a computer-readable storage medium storing at least one instruction that is loaded and executed by a processor to implement the above-described method.

[0040] The beneficial effects of the technical solution provided by this invention include at least the following:

[0041] The online monitoring method provided by this invention overcomes the problems of untimely monitoring and the need for offline testing in existing hot strip laminar flow cooling roller conveyor condition monitoring methods. This method can monitor equipment parameters online in real time. By introducing a dynamic threshold method into the evaluation algorithm of the characteristic values ​​of the hot strip laminar flow cooling roller conveyor condition parameters, and then using this algorithm to define the threshold values ​​of the characteristic values ​​of the hot strip laminar flow cooling roller conveyor condition parameters, it is possible to achieve real-time dynamic evaluation of various parameters throughout the entire life cycle of the hot strip laminar flow cooling roller conveyor. This avoids the threshold errors of various parameters caused by equipment aging, and achieves the effect of online evaluation throughout the entire life cycle of the hot strip laminar flow cooling roller conveyor. The dynamic online evaluation of the hot strip laminar flow cooling roller conveyor equipment provided by this method is not only of great significance for the dynamic study of the condition of the hot strip laminar flow cooling roller conveyor, but also has reference value for online fault diagnosis of the equipment. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a schematic diagram of the execution flow of the online monitoring method for the condition of the laminar flow cooling roller table in hot continuous rolling provided in an embodiment of the present invention. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0045] First Embodiment

[0046] This embodiment provides an online monitoring method for the condition of hot strip laminar flow cooling roller conveyors. This method can be implemented by electronic equipment. It collects motor parameters of the hot strip laminar flow cooling roller conveyor online, analyzes the working status of the hot strip laminar flow cooling rollers in real time, evaluates the current performance of the motor, analyzes historical performance status and development trends, provides early warning of potential faults, and promptly reminds maintenance personnel to conduct inspections. It has a significant effect on reducing or even eliminating hot strip laminar flow cooling roller conveyor faults and product surface scratches. Specifically, the execution flow of this method is as follows: Figure 1 As shown, it includes the following steps:

[0047] S1, obtain the roller motor current parameters and roller motor speed of the hot continuous rolling laminar flow cooling roller table;

[0048] The roller conveyor motor current parameters obtained in this embodiment include: no-load current, starting current, on-load current, burn-out current, and rated current. The roller conveyor motor speeds obtained in this embodiment include: actual speed and set speed.

[0049] S2, Calculate the characteristic value of the roller conveyor motor current based on the roller conveyor motor current parameters;

[0050] In this embodiment, the current characteristic values ​​calculated include the daily average value of the roller conveyor motor's no-load current, the daily range of the roller conveyor motor's no-load current, the daily standard deviation of the roller conveyor motor's no-load current, the monthly average value of the roller conveyor motor's no-load current, the monthly range of the roller conveyor motor's no-load current, the monthly standard deviation of the roller conveyor motor's no-load current, the daily maximum starting current of the roller conveyor motor, the monthly average value of the daily maximum starting current of the roller conveyor motor, and the monthly standard deviation of the daily maximum starting current of the roller conveyor motor.

[0051] Daily average no-load current I of roller conveyor motor avg_unload The calculation formula is as follows:

[0052]

[0053] Among them, I i_unload It is the i-th no-load current value of the roller conveyor motor on that day; n is the total number of current values ​​on that day.

[0054] Daily range of no-load current I of roller conveyor motor range_unload The calculation formula is as follows:

[0055] I range_unload =I max_unload -I min_unload

[0056] Among them, I max_unload This is the maximum no-load current value of the roller conveyor motor for the day, I. min_unload This is the minimum no-load current value of the roller conveyor motor for the day;

[0057] Daily standard deviation of no-load current S of roller conveyor motor _unload The calculation formula is as follows:

[0058]

[0059] Among them, I i_unload It is the i-th no-load current value of the roller conveyor motor on that day;

[0060] Monthly average no-load current I of roller conveyor motor avg_unload The formula for calculating ′ is as follows:

[0061]

[0062] Among them, I i_unloadThis is the i-th no-load current value of the roller conveyor motor in the previous month; n is the total number of current values ​​in the previous month.

[0063] Monthly Range of No-Load Current of Roller Conveyor Motor I range_unload The formula for calculating ′ is as follows:

[0064] I range_unload ′=I max_unload ′-I min_unload ′

[0065] Among them, I max_unload ′ is the maximum no-load current value of the roller conveyor motor last month, I min_unload ′ is the minimum no-load current value of the roller conveyor motor last month;

[0066] Monthly standard deviation of no-load current S of roller conveyor motor _unload The formula for calculating ′ is as follows:

[0067]

[0068] Among them, I i_unload This is the i-th no-load current value of the roller conveyor motor last month;

[0069] Maximum daily starting current I of roller conveyor motor max_start The calculation formula is as follows:

[0070]

[0071] Among them, I i_start It is the i-th starting current value of the roller conveyor motor on that day;

[0072] Monthly average of maximum daily starting current I of roller conveyor motor avg_start The formula for calculating ′ is as follows:

[0073]

[0074] Among them, I imax_start It is the i-th maximum starting current value of the roller conveyor motor in the previous month; n is the total number of the maximum starting current values ​​of the roller conveyor motor per day in the previous month;

[0075] Monthly standard deviation of maximum daily starting current S of roller conveyor motor _start The formula for calculating ′ is as follows:

[0076]

[0077] Among them, I imax_start It is the i-th maximum starting current value of the roller conveyor motor last month.

[0078] S3, based on the characteristic value of the roller conveyor motor current, provides graded early warning of the status of the hot continuous rolling laminar flow cooling roller conveyor;

[0079] Specifically, in this embodiment, the implementation process of S3 includes:

[0080] S31, Calculate the deviation ΔI between the daily average value and the monthly average value of the no-load current of the roller conveyor motor. avg_unload The formula is as follows:

[0081] ΔI avg_unload =I avg_unload -I avg_unload ′

[0082] S32 evaluates the deviation between the daily average value and the monthly average value of the roller conveyor motor's no-load current, and outputs alarms in a graded manner, specifically according to the deviation ΔI. avg_unload and standard deviation S _unload The deviation ΔI avg_unload Divided into seven intervals, namely: [-S _unload ′,S _unload ′],[-2S _unload ′,-S _unload ′],[S _unload ′,2S _unload ′],[-3S _unload ′,-2S _unload ′],[2S _unload ′,3S _unload ′],[-∞,-3S _unload ′],[3S _unload ′,+∞];

[0083] When ΔI avg_unload In [-S _unload ′,S _unload Within ′] hours, no warning will be issued;

[0084] When ΔI avg_unload In [-2S _unload ′,-S _unload ′] or [S _unload ′,2S _unload Within ′] hours, issue a Level 1 warning;

[0085] When ΔI avg_unload In [-3S _unload ′,-2S _unload ′] or [2S _unload ′,3S _unload Within ′] hours, issue a Level II warning;

[0086] When ΔI avg_unload In [-∞, -3S _unload ′] or [3S _unload When the value is within the range of ′, +∞, output a level 3 warning;

[0087] S33, Calculate the deviation ΔI between the daily and monthly ranges of the no-load current of the roller conveyor motor. range_unload The formula is as follows:

[0088] ΔI range_unload =I range_unload -I range_unload ′

[0089] When ΔI range_unload When the value is less than 0, no warning is issued;

[0090] When ΔI range_unload In [0, S _unload Within ′] hours, issue a Level 1 warning;

[0091] When ΔI range_unload In [S] _unload ′,2S _unload Within ′] hours, issue a Level II warning;

[0092] When ΔI range_unload In [2S] _unload When the value is within the range of ′, +∞, a level 3 warning will be output.

[0093] S34, Calculate the deviation ΔI between the monthly average of the daily maximum starting current of the roller conveyor motor and the monthly average of the daily maximum starting current of the roller conveyor motor. avg_start The formula is as follows:

[0094] ΔI avg_start =I max_start -I avg_start ′

[0095] S35, according to the deviation ΔI avg_start and standard deviation S _start The deviation ΔI avg_start Divided into seven intervals, namely: [-S _start ′,S _start ′],[-2S _start ′,-S _start ′],[S _start ′,2S _start ′],[-3S _start ′,-2S _start ′],[2S _start ′,3S _start ′],[-∞,-3S _start ′],[3S _start ′,+∞];

[0096] When ΔI avg_start In [-S _start ′,S _start Within ′] hours, no warning will be issued;

[0097] When ΔI avg_unload In [-2S _start ′,-S _start ′] or [S _start ′,2S _start Within ′] hours, issue a Level 1 warning;

[0098] When ΔI avg_start In [-3S _start ′,-2S _start ′] or [2S _start ′,3S _start Within ′] hours, issue a Level II warning;

[0099] When ΔI avg_start In [-∞, -3S _start ′] or [3S _start When the value is within the range of ′, +∞, output a level 3 warning;

[0100] Among them, S _start ′ represents the monthly standard deviation of the maximum daily starting current of the roller conveyor motor.

[0101] S4, based on the roller motor current parameters and roller motor speed, combined with the preset roller motor fault characteristic values, monitors whether the roller motor has a fault, and issues a fault alarm when the roller motor has a fault.

[0102] Specifically, in this embodiment, the implementation process of S4 includes:

[0103] S41, acquire the characteristic value of the hot strip laminar flow cooling roller conveyor motor burnout fault; judge the characteristic value of the hot strip laminar flow cooling roller conveyor motor burnout fault, and output an alarm for abnormal status. Specifically, acquire the speed v of the hot strip laminar flow cooling roller conveyor motor. i_load When v i_load When >0, determine I i_load Is it 0? If I i_load =0, then I ove_load Set to 1, indicating the motor is burnt out. Where, I i_load It is the i-th real-time on-load current value of the roller conveyor motor on that day, I ove_load These are characteristic values ​​of roller conveyor motor burnout faults;

[0104] When the deviation I ove_load When = 1, the motor is at risk of burnout and an alarm is triggered; among them, the characteristic value of the burnout fault of the hot continuous rolling laminar flow cooling roller motor is a fixed constant, which is set as a configurable variable in the algorithm and is usually set to 0;

[0105] S42, Calculate the deviation ΔI between the on-load current of the roller conveyor motor and the fault characteristic value of the roller conveyor motor. out_load :

[0106] ΔI out_load =I i_load -I out_load

[0107] Among them, I i_load It is the i-th real-time on-load current value of the roller conveyor motor on that day, I out_load These are characteristic values ​​of roller conveyor motor faults;

[0108] S43, when ΔI out_load If the value is ≥0 and the duration is more than 5 seconds, it is determined that the roller conveyor motor is overloaded and an overload warning for the roller conveyor motor is output. The fault characteristic value of the roller conveyor motor is a fixed constant, which is a configurable variable set in the algorithm. It is usually set to the rated current of the motor according to the specific model of the motor.

[0109] To verify the accuracy of the method of the present invention, a monitoring experiment was conducted on a 2150mm hot strip steel production line. Data from the AM029 motor of the laminar flow roller conveyor was continuously collected for two weeks. The monitoring results of the motor status were displayed in real time on the HMI using the method of the present invention. The system warning information is shown in Table 1.

[0110] Table 1 Early Warning Information Table

[0111]

[0112]

[0113] The maximum starting current data and warning information are shown in Table 2:

[0114] Table 2 Maximum Starting Current Data and Early Warning Information

[0115]

[0116]

[0117] Among them, monthly average I avg_start ′ Calculated value: 41.41, monthly standard deviation: S _start ′ Calculated value: 5.17.

[0118] The motor burnout monitoring information is shown in Table 3:

[0119] Table 3 Examples of Motor Burnout Monitoring Data

[0120]

[0121] The system uses early warning to trace the process parameters of motor overload, as shown in Table 4:

[0122] Table 4 Examples of Overload Alarm Parameters

[0123]

[0124] As can be seen from the above data, the judgment results of the method of the present invention are basically consistent with the actual situation on site. In summary, this embodiment provides an online monitoring method for the condition of hot strip laminar flow cooling roller conveyors. This online monitoring method overcomes the problems of untimely monitoring and the need for offline testing in existing hot strip laminar flow cooling roller conveyor condition monitoring methods. This method can monitor equipment parameters online in real time. By introducing a dynamic threshold method into the evaluation algorithm of the characteristic values ​​of the hot strip laminar flow cooling roller conveyor condition parameters, and then using this algorithm to define the threshold values ​​of the characteristic values ​​of the hot strip laminar flow cooling roller conveyor condition parameters, it is possible to achieve real-time dynamic evaluation of various parameters throughout the entire life cycle of the hot strip laminar flow cooling roller conveyor, avoiding threshold errors of various parameters caused by equipment aging, and realizing the effect of online evaluation throughout the entire life cycle of the hot strip laminar flow cooling roller conveyor. This method's dynamic online evaluation of hot strip laminar flow cooling roller conveyor equipment is not only of great significance for the dynamic study of the condition of hot strip laminar flow cooling roller conveyors, but also has reference value for online fault diagnosis of equipment.

[0125] Second Embodiment

[0126] This embodiment provides an electronic device, which includes a processor and a memory; wherein the memory stores at least one instruction, which is loaded and executed by the processor to implement the method of the first embodiment.

[0127] The electronic device can vary considerably depending on its configuration or performance, and may include one or more processors (central processing units, CPUs) and one or more memories, wherein the memories store at least one instruction that is loaded by the processor and executed in accordance with the above method.

[0128] Third Embodiment

[0129] This embodiment provides a computer-readable storage medium storing at least one instruction, which is loaded and executed by a processor to implement the method of the first embodiment described above. The computer-readable storage medium may be a ROM, random access memory, CD-ROM, magnetic tape, floppy disk, or optical data storage device, etc. The instruction stored therein can be loaded and executed by a processor in a terminal.

[0130] Furthermore, it should be noted that the present invention can be provided as a method, apparatus, or computer program product. Therefore, embodiments of the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, embodiments of the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code.

[0131] Embodiments of the present invention are described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0132] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing terminal equipment to cause a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0133] It should also be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0134] Finally, it should be noted that the above description represents a preferred embodiment of the present invention. It should be pointed out that although preferred embodiments have been described, those skilled in the art, once they understand the basic inventive concept of the present invention, can make various improvements and modifications without departing from the principles described herein. These improvements and modifications should also be considered within the scope of protection of the present invention. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the embodiments of the present invention.

Claims

1. An online monitoring method for the condition of laminar flow cooling roller table in hot continuous rolling mill, characterized in that, include: Obtain the roller motor current parameters and roller motor speed of the hot continuous rolling laminar flow cooling roller table; Based on the roller conveyor motor current parameters, calculate the characteristic value of the roller conveyor motor current; Based on the characteristic values ​​of the roller conveyor motor current, a graded early warning system is implemented for the status of the hot continuous rolling laminar flow cooling roller conveyor. Based on the roller conveyor motor current parameters and roller conveyor motor speed, combined with preset roller conveyor motor fault characteristic values, the system monitors whether the roller conveyor motor has malfunctioned and issues a fault alarm when the roller conveyor motor malfunctions. The current parameters of the roller conveyor motor include: no-load current of the roller conveyor motor, starting current of the roller conveyor motor, on-load current of the roller conveyor motor, and rated current of the roller conveyor motor. The characteristic values ​​of the roller conveyor motor current include: daily average value of roller conveyor motor no-load current, daily range of roller conveyor motor no-load current, daily standard deviation of roller conveyor motor no-load current, monthly average value of roller conveyor motor no-load current, monthly range of roller conveyor motor no-load current, monthly standard deviation of roller conveyor motor no-load current, daily maximum starting current of roller conveyor motor, monthly average value of daily maximum starting current of roller conveyor motor, and monthly standard deviation of daily maximum starting current of roller conveyor motor. Based on the characteristic values ​​of the roller conveyor motor current, a graded early warning system is implemented for the condition of the hot continuous rolling laminar flow cooling roller conveyor, including: Calculate the deviation ΔI between the daily average value and the monthly average value of the no-load current of the roller conveyor motor. avg_unload ; When ΔI avg_unload In [-S _unload ′ ,S _unload ′ Within [a certain timeframe], no warning will be issued; When ΔI avg_unload In [-2S _unload ′ ,-S _unload ′ ] or [S _unload ′ ,2S _unload ′ Within [a certain timeframe], issue a Level 1 warning. When ΔI avg_unload In [-3S _unload ′ -2S _unload ′ ] or [2S _unload ′ 3S _unload ′ Within [a certain timeframe], a Level II warning will be issued; When ΔI avg_unload In [-∞, -3S _unload ′ ] or [3S _unload ′ When the value is within [+∞], a level 3 warning will be issued; Among them, S _unload ′ This represents the monthly standard deviation of the no-load current of the roller conveyor motor; Calculate the deviation ΔI between the daily and monthly ranges of the no-load current of the roller conveyor motor. range_unload ; When ΔI range_unload When the value is less than 0, no warning is issued; When ΔI range_unload In [0, S _unload ′ Within [a certain timeframe], issue a Level 1 warning. When ΔI range_unload In [S] _unload ′ ,2S _unload ′ Within [a certain timeframe], a Level II warning will be issued; When ΔI range_unload In [2S] _unload ′ When the value is within [+∞], a level 3 warning will be issued; Calculate the deviation ΔI between the monthly average of the daily maximum starting current of the roller conveyor motor and the monthly average of the daily maximum starting current of the roller conveyor motor. avg_start ; When ΔI avg_start In [-S _start ′ ,S _start ′ Within [a certain timeframe], no warning will be issued; When ΔI avg_unload In [-2S _start ′ ,-S _start ′ ] or [S _start ′ ,2S _start ′ Within [a certain timeframe], issue a Level 1 warning. When ΔI avg_start In [-3S _start ′ -2S _start ′ ] or [2S _start ′ 3S _start ′ Within [a certain timeframe], a Level II warning will be issued; When ΔI avg_start In [-∞, -3S _start ′ ] or [3S _start ′ When the value is within [+∞], a level 3 warning will be issued; Among them, S _start ′ This represents the monthly standard deviation of the maximum daily starting current of the roller conveyor motor.

2. The online monitoring method for the condition of laminar flow cooling roller table in hot continuous rolling mill as described in claim 1, characterized in that, Based on the roller conveyor motor current parameters and speed, combined with preset roller conveyor motor fault characteristic values, the system monitors whether a fault has occurred in the roller conveyor motor, and issues a fault alarm when a fault occurs, including: When the speed of the roller conveyor motor is greater than 0, it is determined whether the on-load current of the roller conveyor motor is 0. If the on-load current of the roller conveyor motor is 0, it is considered that the motor is at risk of burning out, and a motor burnout warning is output.

3. The online monitoring method for the condition of laminar flow cooling roller table in hot continuous rolling mill as described in claim 2, characterized in that, Based on the roller conveyor motor current parameters and speed, combined with preset roller conveyor motor fault characteristic values, the system monitors whether a fault has occurred in the roller conveyor motor, and issues a fault alarm when a fault occurs. The system also includes: Calculate the deviation ΔI between the on-load current of the roller conveyor motor and the fault characteristic value of the roller conveyor motor. out_load ; When ΔI out_load If the value is ≥0 and the duration exceeds the preset value, it is determined that the roller conveyor motor is overloaded and an overload warning for the roller conveyor motor is output; where the value of the fault characteristic value of the roller conveyor motor is the rated current of the roller conveyor motor.

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