Rolling mill working state monitoring method and system, terminal and storage medium

Abstract

The invention belongs to the technical field of metal material processing and manufacturing, and particularly relates to a rolling mill working state monitoring method and system, a terminal and a storage medium, the method comprises the following steps: pre-defining state monitoring parameters, and setting a corresponding threshold value for each state monitoring parameter; the state monitoring parameters comprise the duration of the steel plate passing through a roller in the rolling mill, the displacement of the roller in the rolling mill and the temperature of an oil film bearing bush in the rolling mill. According to the method, the working state of the rolling mill can be monitored from multiple dimensions by pre-defining the state monitoring parameters and setting the corresponding threshold values; the monitored state monitoring parameters are stored, learning is carried out according to the comparison result of the state monitoring parameters, and the threshold value corresponding to each state monitoring parameter is updated, so that the threshold values can be automatically adjusted along with the change of the actual operation condition of the rolling mill, different production scenes can be better adapted, the monitoring accuracy and reliability are improved, and the production efficiency is improved. And the phenomena of false alarm and missing alarm are reduced.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of metal material processing and manufacturing, and particularly relates to a working state monitoring method and system of a rolling mill, a terminal and a storage medium. BACKGROUND

[0002] In the field of metal material processing and manufacturing, a rolling mill is a machine device specially used for manufacturing and processing metal materials, which can efficiently process various metal materials such as steel plates and aluminum materials, and is widely used in many industries such as automobile manufacturing, aerospace, building materials, and electronic appliances. With the continuous development of industrial production and the increasing diversification of market demand, the quality and performance requirements for metal materials are becoming higher and higher. This requires the rolling mill to maintain a highly stable and reliable working state during operation to ensure that the produced metal materials meet the quality standards.

[0003] However, in actual production, the rolling mill is in a high-load and continuous operation working environment for a long time, and its various components inevitably have problems such as wear and aging, which further affect the overall performance and working state of the rolling mill. The traditional rolling mill working state monitoring method has obvious shortcomings. On the one hand, manual inspection is a common way in the past, but this way not only consumes a lot of manpower and time, but also is difficult to achieve real-time and comprehensive monitoring. Due to the complex structure and numerous components of the rolling mill, manual inspection is difficult to cover every key position, and some potential fault hidden dangers may not be discovered in time. For example, if the temperature of the oil film bearing bush in the rolling mill abnormally rises and cannot be detected and handled in time, it may cause damage to the oil film bearing, affect the normal operation of the rolling mill, and even cause serious equipment accidents, resulting in huge economic losses.

[0004] On the other hand, some enterprises have introduced simple sensor monitoring systems, which mostly use fixed preset thresholds for data comparison and issue an alarm when the monitoring data exceeds the threshold. However, in actual production, the working state of the rolling mill is affected by various factors such as production batch, rolling material specification, and rolling process parameters. The fixed threshold cannot be dynamically adjusted according to the actual operation conditions of the rolling mill, and false alarms or missed alarms may occur. SUMMARY

[0005] In view of the defects in the prior art that the existing rolling mill monitoring mostly uses fixed preset thresholds for data comparison, but in actual production, the working state of the rolling mill is affected by various factors, and false alarms or missed alarms may occur, the present application provides a working state monitoring method, system, terminal and storage medium of a rolling mill to solve the above technical problems.

[0006] In a first aspect, the present application provides a working state monitoring method of a rolling mill, comprising: Step S1, define the state monitoring parameters in advance, and set the corresponding threshold value for each state monitoring parameter; the state monitoring parameters include the duration of the steel plate passing through the middle roller of the rolling mill, the displacement of the middle roller of the rolling mill, and the temperature of the middle oil film bearing bushing of the rolling mill; Step S2, obtain the temperature data of the oil film bearing bushing through the first temperature sensor installed at the oil film bearing bushing; and compare the monitored temperature data of the oil film bearing bushing with the temperature threshold value of the oil film bearing bushing; Step S3, obtain the temperature data of this monitoring point through the second temperature sensor installed beside the track below the roller, and determine whether there is a steel plate passing through the roller according to the obtained temperature data, and when it is determined that there is a steel plate passing through the roller, start the timer to monitor the duration data of the steel plate passing through the roller, and compare the detected duration data of the steel plate passing through the roller with the duration threshold value of the steel plate passing through the roller; Step S4, when it is determined that there is a steel plate passing through the roller, simultaneously start the three-axis acceleration sensor installed on the oil film bearing support seat of the rolling mill to obtain the displacement data of the roller; and compare the monitored displacement data of the roller with the displacement threshold value of the roller; Step S5, when any of the monitored state monitoring parameter data exceeds the corresponding state monitoring parameter threshold value, an alarm is given; Step S6, save the monitored state monitoring parameters, and learn from the comparison results of the above-mentioned various state monitoring parameters and the corresponding threshold values to update the threshold values corresponding to each state monitoring parameter, and enter the next round of detection.

[0007] Further improvement of the technical solution is that step S1 includes: The duration T of the steel plate passing through the roller is defined in advance, and the corresponding threshold value includes the upper limit threshold Tu and the lower limit threshold Td of the duration; The displacement of the roller is defined in advance, including the radial displacement Sx and the axial displacement Sz, and the corresponding threshold value of the displacement includes the vertical radial displacement threshold and the axial displacement threshold ; The temperature W of the oil film bearing bushing is defined in advance, and the corresponding threshold value includes the upper limit threshold Wu and the lower limit threshold Wd of the temperature.

[0008] Further improvement of the technical solution is that step S2 includes: The temperature W collected by the PT100 temperature sensor installed at the oil film bearing bushing is compared with the upper limit threshold Wu and the lower limit threshold Wd of the temperature; If the temperature W of the oil film bearing bushing satisfies , it is determined that the temperature of the oil film bearing is normal; If the temperature W of the oil film bearing bushing satisfies If so, it is determined that the oil film bearing temperature is too low; If the temperature W of the oil film bearing bushing satisfies If so, it is determined that the oil film bearing temperature is too high.

[0009] Further improvements to this technical solution include step S3, which includes: The temperature data collected by the infrared temperature sensor installed next to the track below the roller is compared with the preset steel plate processing temperature. If the temperature data collected by the infrared temperature sensor is lower than the preset steel plate processing temperature, it is determined that no steel plate has passed through the roller. If the temperature data collected by the infrared temperature sensor is greater than or equal to the preset steel plate processing temperature, it is determined that a steel plate has passed through the roller, and the timer is started to monitor the duration T of the steel plate passing through the roller. The duration T of the detected steel plate passing through the roller is compared with the upper limit threshold Tu and the lower limit threshold Td of the duration. If the duration T satisfies If so, it is determined that the speed at which the roller passes through the steel is normal; If the duration T satisfies If so, it is determined that the roller passes through the steel too quickly; If the duration T satisfies If the speed of the roller passing through the steel is too slow, there is a risk of steel jamming.

[0010] Further improvements to this technical solution include step S4, which includes: The radial displacement Sx and axial displacement Sz of the roller are calculated based on real-time data collected by the triaxial accelerometer: ;in, This refers to the real-time acceleration acquired by the triaxial accelerometer along the x-axis. The initial radial velocity is 0 in the initial state. This is the initial radial displacement, i.e., the radial reference position of the roller; ;in, This refers to the real-time acceleration acquired by the triaxial accelerometer along the z-axis. The initial axial velocity is 0 in the initial state. This is the initial axial displacement, i.e., the axial reference position of the roller; The calculated radial displacement Sx of the roller is compared with the vertical radial displacement threshold. In comparison, the calculated axial displacement Sz of the roller is compared with the axial displacement threshold. In comparison; like If so, it is determined that the radial displacement of the roller is normal and the hydraulic press pressure is reasonable; If , and the roller displacement direction is downward, it is determined that the hydraulic press pressure is too large; If , and the roller displacement direction is upward, it is determined that the hydraulic press pressure is too small; If , it is determined that the roller axial displacement is normal, and there is no significant wear risk of the oil film bearing; If , and the roller displacement direction is along the roller axis towards the driving end, it is determined that the oil film bearing of the roller driving end is worn out; If , and the roller displacement direction is along the roller axis towards the non-driving end, it is determined that the oil film bearing of the roller non-driving end is worn out.

[0011] Further improvements of the technical solution are that step S4 further comprises: According to the calculated radial displacement Sx of the roller and the pre-stored historical thickness of the rolled steel The current thickness of the rolled steel H is calculated: ; wherein, is a displacement thickness conversion coefficient, and the value range is 0.8 to 1.2; The calculated current thickness of the rolled steel H is compared with the preset target thickness, and the rolling force of the rolling mill is adjusted according to the comparison result to change the roll gap width of the roller.

[0012] Further improvements of the technical solution are that step S6 comprises: The formula for updating the duration threshold value is: , ; wherein, is the maximum duration during learning; is the minimum duration during learning; is a preset time capacity value; The formula for updating the radial displacement threshold value is: ; wherein, is the maximum radial displacement during learning; is a preset radial displacement capacity value; The formula for updating the axial displacement threshold value is: ; wherein, is the maximum axial displacement during learning; is a preset axial displacement capacity value; The formula for updating the oil film bearing bush temperature threshold value is: , ; wherein, is the maximum temperature upper threshold value during learning; is the minimum temperature lower threshold value during learning; is a preset time capacity value.

[0013] In a second aspect, the present application provides a working state monitoring system of a rolling mill, comprising: a parameter definition module, configured to define state monitoring parameters in advance and set corresponding threshold values for each state monitoring parameter; the state monitoring parameters include the duration of a steel plate passing through a roll in the rolling mill, the displacement of the roll in the rolling mill and the temperature of a film bearing bushing in the rolling mill; a film bearing bushing temperature judgment module, configured to acquire temperature data of the film bearing bushing through a first temperature sensor installed at the film bearing bushing; and compare the monitored temperature data of the film bearing bushing with the temperature threshold value of the film bearing bushing; a steel passing monitoring module, configured to acquire temperature data of the monitoring point through a second temperature sensor installed beside a track below the roll; judge whether a steel plate passes through the roll according to the acquired temperature data; start a timer to monitor the duration data of the steel plate passing through the roll when it is determined that the steel plate passes through the roll; and compare the detected duration data of the steel plate passing through the roll with the duration threshold value of the steel plate passing through the roll; a roll displacement monitoring module, configured to start a three-axis acceleration sensor installed on a film bearing support seat in the rolling mill to acquire displacement data of the roll when it is determined that the steel plate passes through the roll; and compare the monitored displacement data of the roll with the displacement threshold value of the roll; an alarm module, configured to alarm and prompt when any of the monitored state monitoring parameter data exceeds the corresponding state monitoring parameter threshold value; a state monitoring parameter learning module, configured to save the monitored state monitoring parameters; learn according to the comparison results of the above-mentioned each state monitoring parameter and the corresponding threshold value; update the threshold values corresponding to each state monitoring parameter; and enter the next round of detection.

[0014] In a third aspect, the present application provides a terminal, comprising: a processor and a memory, the memory is used to store a computer program, the processor is used to call and run the computer program from the memory, so that the terminal executes the method of the terminal described above.

[0015] In a fourth aspect, the present application provides a computer storage medium, wherein the computer readable storage medium stores instructions, when the instructions are run on a computer, the computer executes the method described in the above aspects.

[0016] The present application has the following beneficial effects: The rolling mill working state monitoring method and system provided by the application can monitor the working state of the rolling mill from multiple dimensions by defining key state monitoring parameters such as the duration of the steel plate passing through the middle roller of the rolling mill, the displacement of the middle roller of the rolling mill, and the temperature of the oil film bearing bushing of the rolling mill, and setting corresponding threshold values. In the monitoring process, accurate data is obtained by using various sensors. For example, the temperature data is obtained by the first temperature sensor installed at the oil film bearing bushing, the second temperature sensor installed beside the track below the roller judges the passing of the steel plate and monitors the duration of the passing steel, and the three-axis acceleration sensor installed on the oil film bearing support seat of the rolling mill obtains the displacement data of the roller. The monitoring method of multiple parameters and multiple sensors avoids the problems that the traditional manual inspection cannot cover all key parts and cannot monitor in real time and comprehensively, can timely find various abnormal conditions in the operation process of the rolling mill, effectively guarantees the stable operation of the rolling mill, and reduces the equipment accidents and economic losses caused by the failure to timely find hidden troubles.

[0017] The application saves the monitored state monitoring parameters, and updates the threshold values corresponding to the state monitoring parameters according to the comparison result. Specifically, the duration threshold value, the radial displacement threshold value, the axial displacement threshold value, and the oil film bearing bushing temperature threshold value all have corresponding formulas, which consider the maximum value, the minimum value, and the preset capacity value during the learning period. Through this dynamic threshold adjustment mechanism, the threshold value can be automatically adjusted according to the change of the actual operation condition of the rolling mill, better adapt to different production scenes, improve the accuracy and reliability of the monitoring, and reduce the occurrence of false positives and false negatives. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, for those skilled in the art, other drawings can also be obtained based on these drawings without creative labor.

[0019] Figure 1 The schematic flowchart of the method of one embodiment of the application.

[0020] Figure 2 The schematic block diagram of the system of one embodiment of the application.

[0021] Figure 3 The structural schematic diagram of a terminal provided by the embodiment of the application.

[0022] 210 is a parameter definition module, 220 is an oil film bearing bushing temperature judgment module, 230 is a steel passing monitoring module, 240 is a roller displacement monitoring module, 250 is an alarm module, and 260 is a state monitoring parameter learning module. DETAILED DESCRIPTION

[0023] In order to make the objectives, characteristics and advantages of the present application more obvious and easy to understand, the technical solutions in the present application will be clearly and completely described below in combination with the accompanying drawings in the specific embodiments. Obviously, the embodiments described below are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. The terminology used in the description of the present application herein only for the purpose of describing specific embodiments and is not intended to limit the present application.

[0025] Figure 1 is a schematic flow chart of a working state monitoring method of a rolling mill. Wherein, Figure 1 The execution subject can be a working state monitoring system of a rolling mill. According to different requirements, the order of steps in the flow chart can be changed, and some can be omitted.

[0026] As Figure 1 shown, the method comprises: Step S1, defining state monitoring parameters in advance, and setting corresponding threshold values for each state monitoring parameter; the state monitoring parameters include the duration of the steel plate passing through the roll in the rolling mill, the displacement of the roll in the rolling mill and the temperature of the oil film bearing bushing in the rolling mill; Step S2, acquiring the temperature data of the oil film bearing bushing through the first temperature sensor installed at the oil film bearing bushing; and comparing the monitored temperature data of the oil film bearing bushing with the temperature threshold value of the oil film bearing bushing; Step S3, acquiring the temperature data of this monitoring point through the second temperature sensor installed beside the track below the roll, and judging whether there is a steel plate passing through the roll according to the acquired temperature data, and starting the timer to monitor the duration data of the steel plate passing through the roll when it is determined that there is a steel plate passing through the roll, and comparing the detected duration data of the steel plate passing through the roll with the duration threshold value of the steel plate passing through the roll; Step S4, when it is determined that there is a steel plate passing through the roll, synchronously starting the three-axis acceleration sensor installed on the oil film bearing support seat in the rolling mill to acquire the displacement data of the roll; and comparing the monitored displacement data of the roll with the displacement threshold value of the roll; Step S5, when any of the monitored state monitoring parameter data exceeds the corresponding state monitoring parameter threshold value, an alarm is prompted; Step S6, the monitored state monitoring parameters are saved, and learning is performed according to the comparison results of the state monitoring parameters and the corresponding thresholds, the thresholds corresponding to the state monitoring parameters are updated, and the next round of cycle detection is entered.

[0027] In order to facilitate the understanding of the present application, the working state monitoring method of the rolling mill provided by the present application is further described below in combination with the process of monitoring the working state of the rolling mill in the embodiment according to the principle of the working state monitoring method of the rolling mill.

[0028] The step S1 comprises: The duration T of the steel plate passing through the roller is defined in advance, and the corresponding threshold value includes the upper limit threshold Tu of the duration and the lower limit threshold Td of the duration. The displacement of the roller is defined in advance, including the radial displacement Sx and the axial displacement Sz, and the corresponding threshold value of the displacement includes the vertical radial displacement threshold and the axial displacement threshold . The temperature W of the oil film bearing bushing is defined in advance, and the corresponding threshold value includes the upper limit threshold Wu of the temperature and the lower limit threshold Wd of the temperature.

[0029] Specifically, an infrared temperature sensor (model MLX90614) is installed beside the track below the roller on the outlet side of the rolling mill, which is used to detect the high temperature signal when the steel plate passes and trigger the timer; a three-axis acceleration sensor (model ADXL355) is installed at the axial position of the oil film bearing support seat, the x axis is in the vertical direction (radial direction), and the z axis is in the direction of the roller axis (axial direction); a PT100 temperature sensor is embedded in the temperature measuring hole of the oil film bearing bushing to collect the bushing temperature in real time.

[0030] The present application can pre-input the following parameters and their threshold values through a human-computer interaction interface (such as a touch screen or remote configuration software): The duration T of the steel plate passing through the roller: the defined threshold value includes the upper limit threshold Tu of the duration and the lower limit threshold Td of the duration, which is used to determine whether the steel passing speed is normal. Roller displacement: Radial displacement Sx (vertical direction): the vertical radial displacement threshold is defined, which is used to determine whether the hydraulic machine pressure is abnormal. Axial displacement Sz (horizontal direction): the axial displacement threshold is defined, which is used to determine the risk of oil film bearing wear. Oil film bearing bushing temperature W: the upper limit threshold Wu and the lower limit threshold Wd of the temperature are defined, which are used to determine whether the bearing temperature is out of limit; the oil film bearing bushing temperature W is directly measured by the PT100 temperature sensor, the sensor probe is inserted into the temperature measuring hole of the bushing to ensure close contact with the inner wall of the bushing.

[0031] Parameters are saved by memory (such as EEPROM or cloud database), supporting threshold value not lost after power off, and allowing dynamic modification through permission management.

[0032] First start of the monitoring system: the system loads the experience threshold value by default (such as Tu=5s, Td=1s, =2mm, =1mm, Wu=60℃, Wd=40℃).

[0033] Non-first start of the monitoring system: call the historical learning value (such as the threshold value updated by machine learning in step S6), to ensure that the threshold value fits the actual working condition.

[0034] Capacity value mechanism: introduce a preset capacity value (such as ΔT=0.5s, =0.2mm, =0.2mm, ΔW=5℃), to avoid false positives when updating the threshold value (such as Tu being updated to the maximum learning value + ΔT).

[0035] In addition, step S2 includes: Comparing the temperature W collected by the PT100 temperature sensor installed at the oil film bearing bush with the upper temperature threshold value Wu and the lower temperature threshold value Wd; If the temperature W of the oil film bearing bush satisfies , it is determined that the oil film bearing temperature is normal; If the temperature W of the oil film bearing bush satisfies , it is determined that the oil film bearing temperature is too low; If the temperature W of the oil film bearing bush satisfies , it is determined that the oil film bearing temperature is too high.

[0036] Specifically, an A-grade PT100 temperature sensor (measuring range: -50℃ to 200℃, accuracy: ±0.1℃) is selected, which is installed in the reserved temperature measuring hole of the oil film bearing bush through an M12 threaded interface, the contact area between the sensor probe and the inner wall of the bush is not less than 80%, to ensure the heat conduction efficiency. The 4mA to 20mA current signal output by the sensor is converted to a 0V to 5V voltage signal by a signal converter, transmitted to the data processor through a shielded twisted pair, and the sampling frequency is set to 1Hz, and the average value of every 5 samples is taken as the current temperature W, to reduce the influence of instantaneous interference.

[0037] Read the temperature threshold value corresponding to the current rolling batch from the system parameter library (Wu is the upper temperature threshold value and Wd is the lower temperature threshold value), if it is the first time, call the default value, if there is a historical learning value, call the threshold value updated last time.

[0038] If the temperature W of the oil film bearing bush satisfies If the temperature W of the oil film bearing bush satisfies If the temperature W of the oil film bearing bush satisfies If the temperature W of the oil film bearing bush satisfies If the temperature W of the oil film bearing bush satisfies If the temperature W of the oil film bearing bush satisfies

[0039] When the same alarm state is triggered for 3 consecutive times, the system automatically records the alarm time, temperature value and duration, and stores them in the local database and uploads them to the monitoring center.

[0040] When the temperature is too high, the mill control system reduces the rolling speed by 10%, and the cooling system configured for the mill is started to enhance heat dissipation; when the temperature is too low, the operator is prompted to check the oil supply temperature of the lubrication system.

[0041] In addition, step S3 comprises: comparing the temperature data collected by the infrared temperature sensor installed beside the track below the roller with the preset steel plate processing temperature; If the temperature data collected by the infrared temperature sensor is less than the preset steel plate processing temperature, it is determined that no steel plate passes through the roller; If the temperature data collected by the infrared temperature sensor is greater than or equal to the preset steel plate processing temperature, it is determined that a steel plate passes through the roller, and a timer is started to monitor the duration T of the steel plate passing through the roller; comparing the detected duration T of the steel plate passing through the roller with the upper limit threshold Tu and the lower limit threshold Td of the duration; If the duration T satisfies It is determined that the roller steel passing speed is normal; If the duration T satisfies It is determined that the roller steel passing speed is too fast; If the duration T satisfies It is determined that the roller steel passing speed is too slow, and there is a risk of steel jamming.

[0042] Specifically, a non-contact infrared temperature sensor (measurement range: 0-800°C) is selected and installed on a fixed bracket beside the track below the roller, the vertical distance between the sensor lens and the rolling area of the roller is 300±50mm, and the horizontal offset is ≤100mm, ensuring that the steel plate is completely within the detection field of view of the sensor when passing through.

[0043] According to the rolling process requirements, the preset steel plate processing temperature is 200℃ (the steel plate normal temperature is about 25℃, and the temperature is usually higher than 200℃ in the rolling process due to plastic deformation and heating in the previous process), which is stored in the system parameter table and can be manually adjusted within the range of 0℃ to 500℃ according to the steel plate material (such as carbon steel, stainless steel).

[0044] The infrared temperature sensor collects the temperature of the monitoring point in real time (the sampling frequency is 10Hz), if the temperature values of the continuous 3 sampling periods are all less than 200℃, it is determined that there is no steel plate passing through the roller, and the timer remains in the reset state; if the temperature values of the continuous 3 sampling periods are all greater than or equal to 200℃, it is determined that there is steel plate passing through the roller, and the timer is triggered to start timing.

[0045] When the infrared temperature sensor detects that the temperature value is less than 200℃ for 3 continuous sampling periods, it is determined that the tail end of the steel plate leaves the roller, the timer stops timing, and the timing result is the duration T of the steel plate passing through the roller.

[0046] The upper threshold Tu and the lower threshold Td of the duration corresponding to the current steel passing thickness are read from the threshold library stored in the system, and the default threshold (Tu=5s, Td=1s) is called if it is the first running.

[0047] If the duration T satisfies , it is determined that the roller steel passing speed is normal, and the system records the "steel passing speed normal" state; If the duration T satisfies , it is determined that the roller steel passing speed is too fast (the shorter the time is, the faster the speed is under the same thickness), and the "steel passing speed too fast" warning is triggered; If the duration T satisfies , it is determined that the roller steel passing speed is too slow, and there is a risk of steel jamming, and the "steel jamming risk" alarm is triggered.

[0048] Then, step S4 includes: According to the real-time data collected by the three-axis acceleration sensor, the radial displacement Sx of the roller and the axial displacement Sz of the roller are calculated: ; wherein, is the real-time acceleration collected by the x-axis of the three-axis acceleration sensor; is the radial initial speed, which is 0 in the initial state; is the radial initial displacement, which is the radial reference position of the roller; ; wherein, is the real-time acceleration collected by the z-axis of the three-axis acceleration sensor; is the axial initial speed, which is 0 in the initial state; is the axial initial displacement, which is the axial reference position of the roller; The calculated radial displacement Sx of the roller is compared with the vertical radial displacement threshold. In comparison, the calculated axial displacement Sz of the roller is compared with the axial displacement threshold. In comparison; like If so, it is determined that the radial displacement of the roller is normal and the hydraulic press pressure is reasonable; like If the roller displacement direction is downward, it is determined that the hydraulic press pressure is too high. like If the roller displacement direction is upward, then the hydraulic press pressure is determined to be too low. like If the axial displacement of the roller is normal, the oil film bearing has no significant risk of wear. like If the roller displacement direction is along the roller axis toward the drive end, then it is determined that the wear of the oil film bearing at the roller drive end is aggravated. like If the roller displacement direction is along the roller axis toward the non-driving end, then it is determined that the wear of the oil film bearing at the non-driving end of the roller is aggravated.

[0049] Specifically, an ADXL355 triaxial accelerometer was selected and fixed to the axial center of the oil film bearing support with bolts. The x-axis is arranged in a vertical (radial) direction perpendicular to the roller axis and is used to collect radial vibration acceleration; the z-axis is arranged along the roller axis and is used to collect axial vibration acceleration. Vibration damping pads are installed between the triaxial accelerometer and the support to reduce environmental vibration interference.

[0050] The radial reference position was obtained through no-load operation calibration. and .

[0051] The acceleration signal output from the triaxial accelerometer is filtered by a low-pass filter (cutoff frequency 100Hz) to remove high-frequency noise, then converted into a digital signal by an A / D converter and transmitted to the data processor. A moving average is applied to the acceleration values ​​at 10 consecutive sampling points to obtain smoothed real-time acceleration data. and .

[0052] This invention calculates radial and axial displacements through quadratic integration. The trapezoidal integration method is used during the integration process, and the instantaneous displacement is calculated every 10ms to obtain the real-time radial displacement Sx and axial displacement Sz.

[0053] Read the vertical and radial displacement threshold corresponding to the current rolling condition from the system threshold library. and axial displacement threshold If this is the first run, the default displacement threshold will be called (e.g., ...). = 2 mm, = 1 mm).

[0054] If , it is determined that the radial displacement of the roller is normal, and the pressure of the hydraulic machine is reasonable, and the state of "radial normal" is recorded; If , and the displacement direction of the roller is downward (i.e., when is a positive value, the roller moves towards the steel plate), it is determined that the pressure of the hydraulic machine is too large, a yellow warning is triggered, and a "pressure too large" warning is prompted; If , and the displacement direction of the roller is upward (i.e., when is a negative value, the roller moves away from the steel plate), it is determined that the pressure of the hydraulic machine is too small, a yellow warning is triggered, and a "pressure too small" warning is prompted; If , it is determined that the axial displacement of the roller is normal, and the oil film bearing has no significant risk of wear, and the state of "axial normal" is recorded; If , and the displacement direction of the roller is along the roller axis towards the driving end (i.e., when is a positive value), it is determined that the oil film bearing of the driving end of the roller is worn out, a red warning is triggered, and a "driving end wear" warning is prompted; If , and the displacement direction of the roller is along the roller axis towards the non-driving end (i.e., when is a negative value), it is determined that the oil film bearing of the non-driving end of the roller is worn out, a red warning is triggered, and a "non-driving end wear" warning is prompted.

[0055] Further, step S4 further comprises: According to the calculated radial displacement Sx of the roller and the pre-stored historical thickness of passing steel , the current thickness of passing steel H is calculated: ; wherein, is a displacement thickness conversion coefficient, and the value range is 0.8 to 1.2; The calculated current thickness of passing steel H is compared with the preset target thickness, and the rolling force of the rolling mill is adjusted according to the comparison result, and the roll gap width of the roller is changed.

[0056] The last effective thickness of passing steel data is retrieved from the system historical database as the historical thickness of passing steel (unit: mm), which needs to meet the condition of "stable rolling thickness under no alarm state", and if it is the first rolling, the default is the initial value of the target thickness.

[0057] The calculated roll radial displacement Sx (unit: mm) in the extraction step S4 is the real-time radial displacement amount of the roll in the current rolling process (with the radial reference position as the zero point, and the downward direction as the positive direction).

[0058] A preset displacement-thickness conversion coefficient k is called, which is determined according to the rolling mill model and the rolling material characteristics, and the default range is 0.8 to 1.2 (for example, k = 1.0 when rolling low-carbon steel, and k = 1.1 when rolling high-alloy steel), which can be calibrated and optimized through historical rolling data.

[0059] If Sx is positive (the roll is displaced downward), it means that the rolling pressure increases, causing the roll gap to decrease, and the thickness of the rolled steel decreases compared to the historical value; if Sx is negative (the roll is displaced upward), it means that the rolling pressure decreases, causing the roll gap to increase, and the thickness of the rolled steel increases compared to the historical value. The calculation result is kept to two decimal places to ensure accuracy.

[0060] The preset target thickness Htarget is called from the system parameter library The deviation value of the current thickness H and the target thickness is calculated : ; If , it is determined that the thickness deviation is within the allowable range, and the rolling force is not adjusted; If (current thickness is greater than target thickness), the rolling force needs to be increased to reduce the roll gap; If (current thickness is less than target thickness), the rolling force needs to be reduced to increase the roll gap.

[0061] The calculation formula of the rolling force adjustment amount is: ; wherein, is the thickness-force conversion coefficient (unit: kN / mm), which is determined according to the rolling mill stiffness, for example, of a four-roll rolling mill is 50 kN / mm to 200 kN / mm. The calculated is sent to the rolling mill hydraulic control system to change the roll gap width by adjusting the hydraulic cylinder pressure until .

[0062] In addition, step S6 includes: The formula for updating the duration threshold is: , ; wherein, is the maximum duration during learning; is the minimum duration during learning; is a preset time capacity value; The formula for updating the radial displacement threshold is: ; wherein, is the maximum radial displacement during learning; is the preset radial displacement capacity value; The formula for updating the axial displacement threshold value is: ; wherein, is the maximum axial displacement during learning; is the preset axial displacement capacity value; The formula for updating the oil film bearing bush temperature threshold value is: , ; wherein, is the maximum temperature upper threshold value during learning; is the minimum temperature lower threshold value during learning; is the preset time capacity value.

[0063] Finally, the method further includes the step of predicting the failure of the oil film bearing through acceleration data collected by the triaxial acceleration sensor, specifically: using a pre-stored unsupervised learning algorithm to analyze the acceleration data, establishing an oil film bearing running state evaluation model, and using historical data for pre-training, the calculation formula in the oil film bearing running state evaluation model is: failure probability , wherein A is the axial acceleration fluctuation coefficient, B is the radial acceleration fluctuation coefficient, C is the temperature fluctuation coefficient, , and are weight coefficients, and ; when , an early warning signal that the oil film bearing is about to fail is issued.

[0064] In some embodiments, the working state monitoring system 200 of the rolling mill can include a plurality of functional modules composed of computer program segments. The computer programs of each program segment in the working state monitoring system 200 of the rolling mill can be stored in the memory of the computer device and executed by at least one processor to perform (see Figure 1 for details) the working state monitoring function of the rolling mill.

[0065] In this embodiment, the working state monitoring system 200 of the rolling mill can be divided into a plurality of functional modules according to the functions it performs, as shown in Figure 2 . The functional modules can include a parameter definition module 210, an oil film bearing bush temperature judgment module 220, a steel passing monitoring module 230, a roll displacement monitoring module 240, an alarm module 250, and a state monitoring parameter coefficient learning module 260. The module referred to by the present application refers to a series of computer program segments that can be executed by at least one processor and can complete a fixed function, which is stored in the memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

[0066] Specifically, the parameter definition module 210 is configured to define state monitoring parameters in advance and set corresponding threshold values for the state monitoring parameters; the state monitoring parameters include the duration of the steel plate passing through the mill middle roller, the displacement of the mill middle roller and the temperature of the mill middle oil film bearing bush; the oil film bearing bush temperature judgment module 220 is configured to acquire the temperature data of the oil film bearing bush through the first temperature sensor installed at the oil film bearing bush, and compare the monitored temperature data of the oil film bearing bush with the temperature threshold value of the oil film bearing bush; the steel passing monitoring module 230 is configured to acquire the temperature data of the monitoring point through the second temperature sensor installed below the roller track, and determine whether the steel plate passes through the roller according to the acquired temperature data, and when it is determined that the steel plate passes through the roller, start the timer to monitor the duration data of the steel plate passing through the roller, and compare the detected duration data of the steel plate passing through the roller with the duration threshold value of the steel plate passing through the roller; the roller displacement monitoring module 240 is configured to start the three-axis acceleration sensor installed on the mill middle oil film bearing support seat to acquire the displacement data of the roller when it is determined that the steel plate passes through the roller; and compare the monitored displacement data of the roller with the displacement threshold value of the roller; the alarm module 250 is configured to alarm when any of the monitored state monitoring parameter data exceeds the corresponding state monitoring parameter threshold value; and the state monitoring parameter learning module 260 is configured to save the monitored state monitoring parameters, and learn according to the comparison results of the above-mentioned state monitoring parameters and the corresponding threshold values, update the threshold values corresponding to the state monitoring parameters, and enter the next round of detection.

[0067] Figure 3 A structure schematic diagram of a terminal 300 is provided for the embodiment of the present application, and the terminal 300 can be used to execute the working state monitoring method of the mill provided by the embodiment of the present application.

[0068] The terminal 300 can include a processor 310, a memory 320 and a communication module 330. These components communicate through one or more buses, and those skilled in the art can understand that the structure of the server shown in the figure does not constitute a limitation on the present application, which can be a bus structure or a star structure, and can include more or fewer components than shown in the figure, or combine some components, or different component arrangements.

[0069] The memory 320 can be used to store the execution instructions of the processor 310, and the memory 320 can be implemented by any type of volatile or non-volatile storage terminal or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk. When the execution instructions in the memory 320 are executed by the processor 310, the terminal 300 can execute part or all of the steps in the following method embodiments.

[0070] The processor 310 is the control center of the storage terminal, and connects various parts of the entire electronic terminal through various interfaces and lines, and executes the software programs and / or modules stored in the memory 320 and the data stored in the memory, so as to execute various functions of the electronic terminal and / or process data. The processor can be composed of an integrated circuit (IC), for example, can be composed of a single packaged IC, or can be composed of a plurality of packaged ICs with the same function or different functions. For example, the processor 310 can only include a central processing unit (CPU). In the embodiments of the present application, the CPU can be a single operation core or can include multiple operation cores.

[0071] The communication module 330 is used to establish a communication channel, so that the storage terminal can communicate with other terminals. The communication module 330 receives user data sent by other terminals or sends user data to other terminals.

[0072] The present application also provides a computer storage medium, wherein the computer storage medium can store a program, and the program can include part or all of the steps in the embodiments provided by the present application when executed. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0073] Those skilled in the art can clearly understand that the technical solutions in the embodiments of the present application can be implemented by means of software plus necessary universal hardware platforms. Based on such an understanding, the technical solutions in the embodiments of the present application can be embodied in the form of a software product, which can be stored in a storage medium, such as a USB flash disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and the like, and includes a plurality of instructions for causing a computer terminal (which can be a personal computer, a server, or a second terminal, a network terminal, or the like) to execute all or part of the steps of the methods described in the embodiments of the present application.

[0074] In the present specification, the same or similar parts among various embodiments can be referred to each other. In particular, for the terminal embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the description in the method embodiments.

[0075] In several embodiments provided in the present application, it should be understood that the disclosed system and method can be implemented in other ways. For example, the system embodiments described above are merely schematic, for example, the division of the modules is only a logical function division, and actual implementation can have another division manner, for example, a plurality of modules or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed modules can be indirect coupling or communication connection through some interfaces, systems or modules, and can be electrical, mechanical or other forms.

[0076] The modules described as separate components can or can not be physically separated, and the components displayed as modules can or can not be physical modules, that is, they can be located in one place, or can be distributed on a plurality of network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiments.

[0077] In addition, each functional module in the various embodiments of the present application can be integrated in one processing module, or each module can exist physically separately, or two or more modules can be integrated in one module.

[0078] Although the present application has been described in detail with reference to the preferred embodiments, it should be understood that the application is not limited to those preferred embodiments. Various modifications and equivalents can be made by those skilled in the art without departing from the spirit and scope of the application. Any and all modifications and equivalents are intended to be included within the scope of the present application.

Claims

1. A method of monitoring the operating state of a rolling mill, characterized in that, The method comprises the following steps: Step S1, defining the state monitoring parameters in advance, and setting the corresponding threshold values for each state monitoring parameter; the state monitoring parameters include the duration of the steel plate passing through the roll, the displacement of the roll, and the temperature of the oil film bearing bushing of the roll; Step S2, acquiring the temperature data of the oil film bearing bushing through the first temperature sensor installed at the oil film bearing bushing; and comparing the monitored temperature data of the oil film bearing bushing with the temperature threshold value of the oil film bearing bushing; Step S3, acquiring the temperature data of the monitoring point through the second temperature sensor installed beside the track below the roll, and judging whether there is a steel plate passing through the roll according to the acquired temperature data; and when it is determined that there is a steel plate passing through the roll, starting the timer to monitor the duration data of the steel plate passing through the roll, and comparing the detected duration data of the steel plate passing through the roll with the duration threshold value of the steel plate passing through the roll; Step S4, when it is determined that there is a steel plate passing through the roll, synchronously starting the three-axis acceleration sensor installed on the oil film bearing support seat of the roll to acquire the displacement data of the roll; and comparing the monitored displacement data of the roll with the displacement threshold value of the roll; Step S5, when any of the monitored state monitoring parameter data exceeds the corresponding state monitoring parameter threshold value, performing alarm prompt; Step S6, saving the monitored state monitoring parameters, and learning according to the comparison results of the above-mentioned each state monitoring parameter and the corresponding threshold value to update the threshold value corresponding to each state monitoring parameter, and entering the next round of detection.

2. The method of monitoring the operating state of a rolling mill according to claim 1, characterised in that, Step S1 comprises: Defining the duration T of the steel plate passing through the roll in advance, and the corresponding threshold values include the upper limit threshold Tu and the lower limit threshold Td of the duration; The displacements of the rollers are predefined, including a radial displacement Sx and an axial displacement Sz, the threshold values corresponding to the displacements including a perpendicular radial displacement threshold value and an axial displacement threshold value ; Defining the temperature W of the oil film bearing bushing in advance, and the corresponding threshold values include the upper limit threshold Wu and the lower limit threshold Wd of the temperature.

3. The method of monitoring the operating state of a rolling mill according to claim 2, characterised in that, Step S2 comprises: Comparing the temperature W collected by the PT100 temperature sensor installed at the oil film bearing bushing with the upper limit threshold Wu and the lower limit threshold Wd of the temperature; If the temperature W of the oil film bearing bush satisfies the oil film bearing temperature is determined to be normal; If the temperature W of the oil film bearing bush satisfies , it is determined that the oil film bearing temperature is too low; If the temperature W of the oil film bearing bush satisfies the oil film bearing temperature is determined to be excessively high.

4. The method of monitoring the operating state of a rolling mill according to claim 3, characterised in that, Step S3 comprises: Comparing the temperature data collected by the infrared temperature sensor installed beside the track below the roll with the preset steel plate processing temperature; If the temperature data collected by the infrared temperature sensor is less than the preset steel plate processing temperature, it is determined that there is no steel plate passing through the roll; If the temperature data collected by the infrared temperature sensor is greater than or equal to the preset steel plate processing temperature, it is determined that there is a steel plate passing through the roll, and the timer is started to monitor the duration T of the steel plate passing through the roll; Comparing the detected duration T of the steel plate passing through the roll with the upper limit threshold Tu and the lower limit threshold Td of the duration; If the duration T satisfies then the roll over steel speed is determined to be normal; If the duration T satisfies then it is determined that the roll speed is too high. If the duration T satisfies then it is determined that the roll over steel speed is too slow and there is a risk of a steel jam.

5. The method of monitoring the operating state of a rolling mill according to claim 4, characterised in that, Step S4 comprises: Calculating the radial displacement Sx of the roll and the axial displacement Sz of the roll according to the real-time data collected by the three-axis acceleration sensor: ; wherein, is the real-time acceleration currently collected by the x-axis of the triaxial acceleration sensor; is the radial initial velocity, which is 0 in the initial state; is the radial initial displacement, i.e., the radial reference position of the roller; ; wherein, is the real-time acceleration currently collected by the z-axis of the triaxial acceleration sensor; is the initial axial velocity, which is 0 in the initial state; is the initial axial displacement, i.e., the reference position of the roller in the axial direction; The calculated radial displacement Sx of the roll is compared with a vertical radial displacement threshold value The calculated axial displacement Sz of the roll is compared with an axial displacement threshold value The calculated axial displacement Sz of the roll is compared with an axial displacement threshold value If , it is determined that the roller radial displacement is normal and the hydraulic press pressure is reasonable; If , and the roller displacement direction is downward, it is determined that the hydraulic press pressure is too large; If , and the displacement direction of the roller is upward, it is determined that the pressure of the hydraulic machine is too small; If then the roller axial displacement is determined to be normal and the oil film bearing is not at significant risk of wear; If , and the displacement direction of the roller is along the roller axis toward the drive end, it is determined that the oil film bearing of the roller drive end is worn out. If , and the displacement direction of the roller is toward the non-driving end along the roller axis, it is determined that the oil film bearing of the non-driving end of the roller is worn out.

6. The method of monitoring the operating state of a rolling mill according to claim 5, characterised in that, Step S4 further comprises: According to the calculated radial displacement Sx of the roll and the pre-stored historical thickness of the rolled steel The current thickness of the rolled steel H is calculated: ; wherein, is a displacement-thickness conversion coefficient, and the value range is 0.8 to 1.2; Comparing the current thickness H of the passing steel with the preset target thickness, and adjusting the rolling force of the roll mill and changing the roll gap width of the roll according to the comparison result.

7. The method of monitoring the operating state of a rolling mill according to claim 5, characterised in that, Step S6 comprises: The formula for updating the duration threshold is: , ; wherein, is the maximum duration during learning; is the minimum duration during learning; is a preset time capacity value; The formula for updating the radial displacement threshold is: ; wherein, is the maximum radial displacement during learning; is a preset radial displacement capacity value; The formula for updating the axial displacement threshold is: ; wherein, is the maximum axial displacement during learning; is a preset axial displacement capacity value; The formula for updating the oil film bearing bush temperature threshold value is: , ; wherein, is the maximum temperature upper threshold value during learning; is the minimum temperature lower threshold value during learning; is a preset time capacity value.

8. A system for monitoring the operating state of a rolling mill, characterized in that Comprise: The parameter definition module is configured to define state monitoring parameters in advance and set corresponding threshold values for each state monitoring parameter. The state monitoring parameters include the duration of the steel plate passing through the middle roll of the rolling mill, the displacement of the middle roll of the rolling mill, and the temperature of the oil film bearing bushing of the rolling mill. The oil film bearing bushing temperature judgment module is configured to obtain the temperature data of the oil film bearing bushing through the first temperature sensor installed at the oil film bearing bushing, and compare the monitored temperature data of the oil film bearing bushing with the temperature threshold value of the oil film bearing bushing. The steel passing monitoring module is configured to obtain the temperature data of the monitoring point through the second temperature sensor installed below the roll, determine whether the steel plate passes through the roll according to the obtained temperature data, start the timer to monitor the duration data of the steel plate passing through the roll when it is determined that the steel plate passes through the roll, and compare the detected duration data of the steel plate passing through the roll with the duration threshold value of the steel plate passing through the roll. The roll displacement monitoring module is configured to start the three-axis acceleration sensor installed on the oil film bearing support seat of the rolling mill to obtain the displacement data of the roll when it is determined that the steel plate passes through the roll, and compare the monitored displacement data of the roll with the displacement threshold value of the roll. The alarm module is configured to alarm when any of the monitored state monitoring parameter data exceeds the corresponding state monitoring parameter threshold value. The state monitoring parameter learning module is configured to save the monitored state monitoring parameters, learn according to the comparison results of the above-mentioned state monitoring parameters and corresponding threshold values, update the threshold values corresponding to each state monitoring parameter, and enter the next round of cycle detection.

9. A terminal, characterized by comprising: The program is executed by the processor to implement the method of any one of claims 1-7. The program is executed by the processor to implement the method of any one of claims 1-7. The program is executed by the processor to implement the method of any one of claims 1-7. ​ 10. A computer readable storage medium storing a computer program, characterized in that, ​

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