CN101850368B - Strip break on-line detection method of acid pickling-rolling mill integral unit - Google Patents
Strip break on-line detection method of acid pickling-rolling mill integral unit Download PDFInfo
- Publication number
- CN101850368B CN101850368B CN200910048596.1A CN200910048596A CN101850368B CN 101850368 B CN101850368 B CN 101850368B CN 200910048596 A CN200910048596 A CN 200910048596A CN 101850368 B CN101850368 B CN 101850368B
- Authority
- CN
- China
- Prior art keywords
- fault
- bearing
- monitoring
- rolling
- tension
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000005096 rolling process Methods 0.000 title claims abstract description 95
- 238000001514 detection method Methods 0.000 title claims abstract description 20
- 239000002253 acid Substances 0.000 title abstract description 19
- 238000012544 monitoring process Methods 0.000 claims abstract description 74
- 238000000034 method Methods 0.000 claims abstract description 24
- 238000003466 welding Methods 0.000 claims abstract description 12
- 229910000831 Steel Inorganic materials 0.000 claims description 50
- 239000010959 steel Substances 0.000 claims description 50
- 238000005554 pickling Methods 0.000 claims description 28
- 230000008569 process Effects 0.000 claims description 10
- 238000009826 distribution Methods 0.000 claims description 5
- 230000004044 response Effects 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 3
- 238000012806 monitoring device Methods 0.000 claims 1
- 238000005097 cold rolling Methods 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 239000008186 active pharmaceutical agent Substances 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010924 continuous production Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000009975 flexible effect Effects 0.000 description 1
- 239000013072 incoming material Substances 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 238000004080 punching Methods 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000010977 unit operation Methods 0.000 description 1
- 210000002268 wool Anatomy 0.000 description 1
Images
Landscapes
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention relates to an acid pickling-rolling mill integral unit, in particular to an on-line detection method of the acid pickling-rolling mill integral unit. The method comprises the following steps: performing welding seam tracking, monitoring and warning, outputting the related signals, performing loop monitoring and warning, outputting the related signals, performing straightening and withdrawal machine monitoring and warning, outputting the related signals, performing rolling mill monitoring and warning, and outputting the related signals to realize strip break positioning. The invention establishes a method for collecting the strip break monitoring signals of the acid pickling-rolling mill integral so as to perform effective monitoring aiming at the reason of strip break and realize the strip break online monitoring, warning and positioning of the acid pickling-rolling mill integral unit.
Description
Technical Field
The invention relates to an acid pickling and tandem rolling combined unit, in particular to an online detection method of the acid pickling and tandem rolling combined unit.
Background
Since the technology develops after the iron company of the new day of Japan successfully combines the pickling line and the cold continuous rolling mill into a unit for continuous production since the early 1980 s, the advantages of a full continuous rolling mill are kept, the repeated investment of an uncoiler and a crimper is saved, and dozens of combined units are built all over the world, so the development trend is very rapid. According to analysis, after the combined machine set is adopted, the acid pickling wool force is improved by 10 percent, and the cold rolling capacity is improved by 40 percent.
However, because of the adoption of the combined unit, the equipment is numerous, the coordination control is more difficult than that of a single unit, and the fault is easy to occur. According to incomplete statistics, in the faults of the pickling and cold continuous rolling combined unit over the year, the faults related to belt breakage account for more than 40% of the total fault time, for example, the machine is stopped for 60 hours due to one belt breakage accident of a certain production line, and the machine is stopped for about 20 hours due to the other two accidents; the belt breakage times of some production lines are more than 10 times every year. As the original country of the technology, Japan, the annual average broken belt times of similar production lines are 2-3, so that the realization of the on-line monitoring of the broken belt of the pickling cold continuous rolling combined unit is quite necessary.
The on-line monitoring has higher requirements on equipment diagnosis personnel, the broken belt monitoring has no configuration alarm, only scattered process quantity information exists, and various professional knowledge is needed for analyzing the broken belt reason.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an on-line detection method for broken strips of a pickling and rolling mill combined unit. The invention establishes a method for acquiring the strip breakage monitoring signal of the pickling and cold rolling combined unit, implements effective monitoring aiming at the reason of strip breakage and realizes the online monitoring of the strip breakage of the pickling and cold rolling combined unit.
In order to achieve the purpose, the invention adopts the following technical scheme:
an on-line detection method for broken strip of a pickling and rolling mill combined unit comprises the following steps: the welding seam tracking monitoring alarm and output, the loop monitoring alarm and output, the withdrawal and straightening machine detection alarm and output, and the rolling mill monitoring alarm and output, thereby realizing the broken belt positioning.
According to the on-line detection method for strip breakage of the pickling and rolling mill combined unit, the welding seam tracking, monitoring, alarming and outputting steps comprise:
collecting parameters corresponding to the WPD2-WPD6 positions; and,
judging the position of the looping door according to the position parameter of the looping door to realize the roll-over forecast and output of the looping trolley;
judging whether the strip steel is centered according to the CPC deviation correcting signal to realize centering fault alarm and outputting;
judging whether the strip steel is out of tension according to the strip steel tension to realize alarming and output;
judging according to the rolling force deviation, and realizing fault alarm and output of the rolling force matching state;
and realizing fault alarm and output of the roll gap instrument according to the deviation of the actual roll gap value and the set value.
According to the on-line detection method for belt breakage of the pickling and rolling mill combined unit, the loop monitoring alarm and output comprise the following steps:
collecting a swing door position signal, a strip steel centering CPC signal and a process section inlet tension signal; and,
judging the position of the looping door according to the position parameter of the looping door to realize the roll-over forecast and output of the looping trolley;
judging whether the strip steel is centered according to the CPC deviation correcting signal to realize centering fault alarm and outputting;
and judging whether the strip steel is out of tension according to the strip steel tension to realize alarming and output.
The strip breakage online detection method for the pickling and tandem mill combined unit comprises the following steps of:
collecting tension signals of a tension leveler and vibration signals of a bearing of an output shaft of a distribution box of the tension leveler; and,
realizing early warning and outputting of the bearing fault of the withdrawal and straightening machine according to the extracted mechanical quantity characteristics;
judging the position of the looping door according to the position parameter of the looping door to realize the roll-over forecast and output of the looping trolley;
judging whether the strip steel is centered according to the CPC deviation correcting signal to realize centering fault alarm and outputting;
judging whether the strip steel is out of tension according to the strip steel tension to realize alarming and output;
and judging according to the rolling force deviation, and realizing fault alarm and output of the rolling force matching state.
The on-line detection method for strip breakage of the pickling and rolling mill combined unit comprises the following steps: the monitoring, alarming and outputting of the rolling mill comprise:
collecting a rolling mill tension signal and a vibration signal of a bearing of an output shaft of a distribution box of a withdrawal and straightening machine; and,
realizing early warning and outputting of the bearing fault of the withdrawal and straightening machine according to the extracted mechanical quantity characteristics;
judging whether the strip steel is centered according to the CPC deviation correcting signal to realize centering fault alarm and outputting;
judging whether the strip steel is out of tension according to the strip steel tension to realize alarming and output;
judging according to the rolling force deviation, and realizing fault alarm and output of the rolling force matching state;
realizing fault alarm of the roll gap instrument and outputting the fault alarm according to the deviation of the actual value and the set value of the roll gap;
and realizing zero drift and fault alarm of the servo valve and outputting the zero drift and the fault alarm according to the servo valve frequency response signal and the synchronization signal.
According to the on-line detection method for belt breakage of the pickling and rolling mill combined unit, the bearing vibration signal comprises the following steps:
outer ring damage characteristic frequency: f. ofo＝nfr(1-dcosα/D)/2
Inner ring damage characteristic frequency: f. ofi＝nfr(1+dcosα/D)/2
Characteristic frequency of rolling element damage: f. ofp＝fr(D/d){1-[d(cosα)/D]2}/2
Cage failure characteristic frequency: f. ofh＝{fi[1-d(cosα)/D]±fo[1+d(cosα)/D]}/2
In the formula:
n-number of rolling elements, frRelative rotational frequency of inner and outer rings, D-rolling element diameter, D-pitch circle diameter, alpha-contact angle, fp，fhBearing rolling element and cage frequency respectively; f. ofi、foThe rotating speed frequencies of the inner ring and the outer ring of the bearing are respectively, the rotating speed frequencies of the inner ring and the outer ring of the bearing are positive when the rotating speed frequencies of the inner ring and the outer ring of the bearing are consistent in direction, and negative when the rotating speed frequencies of the inner ring and the outer ring are opposite in.
According to the on-line detection method for strip breakage of the pickling and rolling mill combined unit, signal extraction and fault monitoring of the rolling bearing comprise the following steps:
selecting a frequency band of a bearing characteristic frequency accessory as a monitoring object, calculating a vibration peak value at the characteristic frequency and a frequency spectrum weighted value in the selected frequency band, and setting a bearing fault factor Bk；
Bk＝(Afk+1/Afk+Ufk+1/Ufk)/4
Wherein A isfk，UfkRespectively bearing characteristic frequency fi、fo、fp、fhBy weighted averaging of vibration amplitude and vibration peak within a selected frequency band, i.e. AfkIs Afi、Afo、Afp、AfhRespectively representing the vibration amplitudes, U, at the characteristic frequencies of the inner ring, the outer ring, the rolling body and the retainer of the bearingfkIs Ufi、Ufo、Ufp、UfhThe average values of the vibration values in a set frequency band (for example, in a range of 10% on both sides centered on the characteristic frequency) at the characteristic frequencies of the bearing inner ring, the bearing outer ring, the rolling elements, and the cage are respectively shown.
Bi、Bo、Bp、BhAnd fault factors of the bearing inner ring, the bearing outer ring, the rolling body and the retainer are respectively shown.
Setting Bi、Bo、Bp、BhThreshold value B corresponding to alarmT1、BT2、BT3、BT4) Monitoring B at each characteristic frequency1＝Bi，B2＝Bo，B3＝Bp，B4.＝BhIs namely B1For the value of a fault factor monitoring of the inner ring of the bearing, B2As outer ring fault factor monitoring value, B3For rolling element fault factor monitoring values, B4And monitoring values for the fault factors of the retainer.
When B is present1＞BT1Forecasting the fault of the bearing inner ring;
B2＞BT2forecasting the fault of the bearing inner ring;
B3＞BT3forecasting the fault of the bearing inner ring;
B4＞BT4forecasting the fault of the bearing inner ring;
otherwise the bearing condition is normal.
The invention provides a model for monitoring the strip breakage fault of an acid rolling unit, which implements process parameter and mechanical vibration monitoring on a welding seam, a loop, a tension leveler and a rolling mill frame and realizes the online prediction and state management of the strip breakage index of the unit.
Drawings
FIG. 1 is a schematic model of the process of the present invention.
Detailed Description
As shown in FIG. 1, the present invention aims at the process characteristics and failure history of the pickling and cold rolling combined unit, and the on-line monitoring scheme for the strip breakage of the pickling and cold rolling combined unit is mainly carried out from the following aspects:
(1) weld tracking monitoring
The acid rolling unit is provided with 6 welding seam tracking points WPD1-WPD6, when a welding seam passes through each position, technological parameters need to be adjusted according to incoming materials and rolling specifications and technological requirements, the welding seam detector is used for correcting the tracking of the position of the strip steel, and strip steel tracking software carries out synchronous correction on the length of the strip steel once when receiving welding seam signals every time so as to accurately track the welding seam position of the strip steel.
(2) Loop broken tape monitoring
The loop is used for keeping the pickling speed of the strip steel in the acid tank unchanged in order to adapt to the change of the normal production rhythm, and loop devices are arranged between a welding machine and a tension leveler (inlet loop), between the acid tank and a disc shear (middle loop) and at the inlet of a rolling mill (outlet loop) and are used for storing the strip steel. Because the loop trolley is always in dynamic fit with a plurality of swing doors, and the strip steel with poor plate shape has a flexible action on the carrier roller of the swing doors, the locking position of the swing doors deviates, and the loop trolley is easy to collide with the swing doors, thus causing production accidents. In addition, the tension imbalance of the loop can cause belt breakage.
In the case of belt breakage, one shutdown for about 60 hours is caused by the overturning of the loop trolley due to the poor opening state of the loop swinging door. Therefore, when designing an online monitoring system, the monitoring of the loop swinging door is firstly carried out.
The on-line monitoring is mainly implemented from the following aspects:
a. position signal of looping swing door
The loop swinging door of the functional continuous unit of the swinging door is mainly used for supporting strip steel in a loop punching process, and according to the process requirements, the swinging door is provided with an opening position and a closing position in a working state, the closing state is used for supporting the strip steel, the opening state is used for enabling a loop trolley to pass through smoothly, and the reliable positioning can be realized in the opening position and the closing position. During work, the swing door and the loop trolley are in a linkage relation, and the swing door can be opened in time when the loop trolley comes; the loop trolley moves, and the swing door can be closed in time to support strip steel and the like.
The signal for monitoring the opening and closing state of the swing door is used for monitoring whether the swing door is successfully opened or closed.
b. Strip steel centering CPC monitoring
No. 1 CPC (double-roller type) is located the entry of entry loop, and No. 2 CPC (single-roller type) is located in the middle of the entry loop, and No. 3 CPC (single-roller type) is located the exit of entry loop, and belted steel centering CPC device's control purpose is on guaranteeing that belted steel is in the unit central line all the time in each section operation of unit line, makes the belted steel of high-speed operation not off tracking, is unlikely to arouse the disconnected area and shuts down.
c. Process section tension and CPC signal
The tension measured at the inlet of the process section is used for controlling the tension of the strip steel in the acid tank, so that the tension of the strip steel in the acid tank is kept constant, the pickling efficiency is improved, the damage to equipment at the bottom of the acid tank is avoided, and the centering control of the strip steel is facilitated. And respectively monitoring deviation correcting position signals of the CPC 4, the CPC 5, the CPC 6 and the CPC 7.
No. 4 CPC (double-roll type) is located middle loop entry, and No. 5 (single-roll type) is located middle loop export, and No. 6 CPC (three-roll type) is located the circle shear entry, and No. 7 CPC (double-roll type) exports the loop export, and belted steel centering CPC device's control purpose is on guaranteeing that belted steel is in the unit central line all the time in service, makes the belted steel of high-speed operation not off tracking, is unlikely to arouse disconnected area and shuts down.
(3) Broken strip monitoring of acid pickling withdrawal and straightening machine
The tension measured on the tension leveler is used for tension control of the tension leveler, so that the tension leveler is in a tension stable control state under a certain strip steel specification, and strip breakage is prevented.
(4) Strip break monitoring for rolling mill
The monitoring of broken strip of rolling mill mainly monitors the vibration of the rotating parts of the rolling mill, the current of a servo valve, the tension between the rolling mills, the rolling force, the roll gap value and the like.
a. Machine quantity monitoring
The mechanical quantity factors causing the belt breakage are: bearing failures such as an output shaft of the pickling withdrawal and straightening unit, an output shaft of a distribution box of the rolling mill, a working roll, a supporting roll and the like, an AGC cylinder, a servo valve and the like.
The failure of the rolling bearing is mainly monitored for the vibration characteristic frequency and the vibration amplitude, and a vibration sensor is arranged for online monitoring.
Rolling bearing failure is manifested in abnormal vibration, often with impact, and the impact rate is related to the damaged component:
outer ring damage characteristic frequency: f. ofo＝nfr(1-dcosα/D)/2(1)
Inner ring damage characteristic frequency: f. ofi＝nfr(1+dcosα/D)/2(2)
Characteristic frequency of rolling element damage: f. ofp＝fr(D/d){1-[d(cosα)/D]2}/2(3)
Cage failure characteristic frequency: f. ofh＝{fi[1-d(cosα)/D]±fo[1+d(cosα)/D]}/2(4)
In the formula:
n-number of rolling elements, frRelative rotational frequency of inner and outer rings, D-rolling element diameter, D-pitch circle diameter, alpha-contact angle, fp，fhBearing rolling element and cage frequency respectively; f. ofi、foThe rotating speed frequencies of the inner ring and the outer ring of the bearing are respectively, the rotating speed frequencies of the inner ring and the outer ring of the bearing are positive when the rotating speed frequencies of the inner ring and the outer ring of the bearing are consistent in direction, and negative when the rotating speed frequencies of the inner ring and the outer ring are opposite in.
b. And for the states of the AGC cylinder and the servo valve, vibration sensors are arranged on the cylinder body and the servo valve body, so that the on-line monitoring of the rolling mill stand is realized.
c. Tension between rolling mill stands
The tension between the frames is totally 6: one is a 1# rack entrance, four are respectively between 1# -2#, 2# -3#, 3# -4#, 4# -5#, and one is a 5# rack exit.
d. Rolling force of rolling mill
Rolling force deviation of a transmission side DS and an operation side OS of the F1, F2, F3, F4 and F5 rolling mills;
e. value of roll gap
And collecting detection values of the roll gap detector in the pushing cylinder of each frame, wherein 10 detection values are obtained from F1-F5.
f. Rolling mill entry CPC monitoring
No. 8 CPC (double-roller type) is positioned at the inlet of the rolling mill, the CPC ensures that strip steel entering the rolling mill is positioned on a central line, and the device selects a central position aligner to manually align the central position of the strip steel.
The invention
(1) The on-line monitoring solution of the strip breakage fault of the operation state of the pickling and rolling mill combined unit is provided, and the strip breakage characteristic parameters are configured by establishing a strip breakage monitoring model and collecting mechanical quantity and technological quantity parameters of the unit operation, so that the on-line monitoring of the strip breakage fault of the pickling and rolling mill combined unit is realized;
(2) a signal configuration monitoring method for a strip breakage fault of an acid mill set is established and applied to an online monitoring system.
The patent designs an on-line monitoring method for the strip breakage fault of the acid rolling unit, and realizes the strip breakage diagnosis and positioning of the acid rolling unit.
(a) Signal extraction and fault monitoring for rolling bearings
Selecting a frequency band of a bearing characteristic frequency accessory as a monitoring object, calculating a vibration peak value at the characteristic frequency and a frequency spectrum weighted value in the selected frequency band, and setting a bearing fault factor Bk;
Bk＝(Afk+1/Afk+Ufk+1/Ufk)/4(5)
wherein A isfk，UfkRespectively bearing characteristic frequency fi，fo，fp，fhAt a weighted average of the vibration amplitude and the vibration peak in the selected frequency band, i.e. Afk is Afi、Afo、Afp、AfhRespectively representing the vibration amplitudes, U, at the characteristic frequencies of the inner ring, the outer ring, the rolling body and the retainer of the bearingfkIs Ufi、Ufo、Ufp、UfhThe average values of the vibration values in a set frequency band (for example, in a range of 10% on both sides centered on the characteristic frequency) at the characteristic frequencies of the bearing inner ring, the bearing outer ring, the rolling elements, and the cage are respectively shown.
Bi、Bo、Bp、BhRespectively represent Afi、Afo、Afp、AfhAnd fault factors of the bearing inner ring, the bearing outer ring, the rolling body and the retainer are respectively shown.
Setting Bi、Bo、Bp、BhThreshold value B corresponding to alarmT1、BT2、BT3、BT4) Monitoring B at each characteristic frequency1＝Bi，B2＝Bo，B3＝Bp，B4＝BhIs namely B1For the value of a fault factor monitoring of the inner ring of the bearing, B2As outer ring fault factor monitoring value, B3For the rolling bodyBarrier factor monitoring value, B4And monitoring values for the fault factors of the retainer.
When B is present1＞BT1Forecasting the fault of the bearing inner ring;
B2＞BT2forecasting the fault of the bearing inner ring;
B3＞BT3forecasting the fault of the bearing inner ring;
B4＞BT4forecasting the fault of the bearing inner ring;
the bearing state is normal under other conditions;
(b) position monitoring of looping swing door
And judging a switching signal (compared with a set value) of the position of the swing door of the loop, and alarming when the actual monitoring signal is different from the set value.
(c) CPC correction signal monitoring
Comparing the actual deviation correcting amount with a threshold value, and alarming when the actual deviation correcting amount is larger than the threshold value;
(d) tension monitoring
The tension of the frame 6 (the tension between the 1# frame inlet, the 1# 2#, the 2# 3#, the 3# 4#, the 4# 5#, the tension between the 5# frame outlets), the loop tension, the tension of the withdrawal and straightening machine and the like are compared with the tension set value, and the out-range is the tension unbalance; when the tension is zero, the strip steel is not tensioned, and the strip breakage position is positioned.
(e) Roll gap, rolling force and rolling force deviation monitoring
The roll gap, the rolling force and the rolling force deviation are compared with a set value and an alarm value, and alarm information is automatically judged and displayed.
(f) Servo valve frequency response and synchronization monitoring
And monitoring a servo valve current signal, monitoring a servo valve zero drift state, and comparing the frequency response speed and the action synchronism of the DS-side servo valve and the OS-side servo valve.
Claims (3)
1. An on-line detection method for strip breakage of a pickling and rolling mill combined unit is characterized by comprising the following steps: a welding seam tracking monitoring alarm and output sub method, a loop monitoring alarm and output sub method, a withdrawal and straightening machine detection alarm and output sub method and a rolling mill monitoring alarm and output sub method, wherein the broken strip is positioned by the four sub methods;
the sub-method for tracking, monitoring, alarming and outputting the welding seam comprises the following steps: collecting parameters corresponding to the positions of six weld tracking points WPD1-WPD 6; judging the position of the looping door according to the position parameter of the looping door to realize the roll-over forecast and output of the looping trolley; judging whether the strip steel is centered according to the CPC deviation correcting signal to realize centering fault alarm and outputting; judging whether the strip steel is out of tension according to the strip steel tension to realize alarming and output; judging according to the rolling force deviation, and realizing fault alarm and output of the rolling force matching state; realizing fault alarm of the roll gap instrument and outputting the fault alarm according to the deviation of the actual value and the set value of the roll gap; wherein,
the loop monitoring alarm and output sub-method comprises the following steps: collecting a swing door position signal, a strip steel centering CPC signal and a process section inlet tension signal; judging the position of the looping door according to the position parameter of the looping door to realize the roll-over forecast and output of the looping trolley; judging whether the strip steel is centered according to the CPC deviation correcting signal to realize centering fault alarm and outputting; judging whether the strip steel is out of tension according to the strip steel tension to realize alarming and output;
the detection alarm and output sub-method of the withdrawal and straightening machine comprises the following steps: collecting tension signals of a tension leveler and vibration signals of a bearing of an output shaft of a distribution box of the tension leveler; realizing early warning and outputting of the bearing fault of the withdrawal and straightening machine according to the extracted mechanical quantity characteristics; judging the position of the looping door according to the position parameter of the looping door to realize the roll-over forecast and output of the looping trolley; judging whether the strip steel is centered to realize fault alarm and outputting according to the CPC deviation rectifying signal; judging whether the strip steel is out of tension according to the strip steel tension to realize alarming and output; judging according to the rolling force deviation, and realizing fault alarm and output of the rolling force matching state;
the rolling mill monitoring alarm and output sub-method comprises the following steps: collecting a rolling mill tension signal and a vibration signal of a bearing of an output shaft of a distribution box of a withdrawal and straightening machine; realizing early warning and outputting of the bearing fault of the withdrawal and straightening machine according to the extracted mechanical quantity characteristics; judging whether the strip steel is centered to realize fault alarm and outputting according to the CPC deviation rectifying signal; judging whether the strip steel is out of tension according to the strip steel tension to realize alarming and output; judging according to the rolling force deviation, and realizing fault alarm and output of the rolling force matching state; realizing fault alarm of the roll gap instrument and outputting the fault alarm according to the deviation of the actual value and the set value of the roll gap; and realizing the zero drift fault alarm of the servo valve according to the servo valve frequency response signal and the synchronization signal and outputting the zero drift fault alarm.
2. The on-line strip breakage detection method for the pickling and rolling mill combined unit according to claim 1, characterized by comprising the following steps of: the bearing vibration signal includes:
bearing outer ring damage characteristic frequency: f. of0=nfr(1-dcosα／D)／2；
Bearing inner ring damage characteristic frequency: f. ofi=nfr(1+dcosα／D)／2；
Bearing rolling element damage characteristic frequency: f. ofp=fr(D／d){1-[d(cosα)／D]2}／2；
Bearing cage fault characteristic frequency: f. ofh={fi[1-d(cosα)／D]±fo[1+d(cosα)／D]}／2；
In the formula: n number of rolling elements, frRelative rotational frequency of inner and outer races, D-rolling element diameter, D-pitch circle diameter, alpha-contact angle, fi、foWhen the directions of the two are consistent, plus or minus signs are taken, and when the directions are opposite, plus or minus signs are taken.
3. The on-line strip breakage detection method for the pickling and rolling mill combined unit according to claim 2, characterized by comprising the following steps of: the extraction and fault monitoring of the bearing vibration signal comprises the following steps:
determining a set frequency band, wherein the set frequency band takes the corresponding characteristic frequency as a center and takes 10% of each of two sides of the center as a range; selecting a set frequency band as a monitoring object, and carrying out weighted operation on the vibration amplitude value at the corresponding characteristic frequency and the average value of the vibration value in the set frequency band corresponding to the corresponding characteristic frequency so as to obtain a bearing fault factor Bk，Bk=(Afk+1／Afk+Ufk+1／Ufk)／4；
Wherein A isfkFor amplitude of vibration at the corresponding characteristic frequency, UfkThe average value of the vibration values in the set frequency band corresponding to the corresponding characteristic frequency is obtained;
when K is i, o, p and h respectively,
Bi: a bearing inner race fault factor; b iso: a bearing outer ring fault factor;
Bp: fault factors of bearing rolling bodies; b ish: a bearing cage fault factor;
Afi: vibration amplitude at the bearing inner ring damage characteristic frequency; a. thefo: vibration amplitude at the bearing outer ring damage characteristic frequency;
Afp: vibration amplitude at a bearing rolling element damage characteristic frequency; a. thefh: vibration amplitude at a bearing cage fault signature frequency;
Ufi: the average value of vibration values in a set frequency band corresponding to the damage characteristic frequency of the bearing inner ring;
Ufo: the average value of vibration values in a set frequency band corresponding to the bearing outer ring damage characteristic frequency;
Ufp: the average value of vibration values in a set frequency band corresponding to the bearing rolling body damage characteristic frequency;
Ufh: the average value of vibration values in a set frequency band corresponding to the fault characteristic frequency of the bearing retainer;
setting Bi、Bo、Bp、BhThe corresponding threshold values are respectively BT1、BT2、BT3、BT4；
Set up B1As a bearing inner race fault factor BiA monitored value of, B2As a bearing outer ring fault factor BoIs detected by the monitoring device (c) and,
B3for fault factors B of bearing rolling bodiespA monitored value of, B4For bearing cage fault factor BhA monitored value of (d);
when B is present1>BT1Forecasting the fault of the bearing inner ring; when B is present2>BT2Forecasting the fault of the bearing inner ring;
when B is present3>BT3Forecasting the fault of the bearing inner ring; when B is present4>BT4Forecasting the fault of the bearing inner ring;
otherwise the bearing condition is normal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910048596.1A CN101850368B (en) | 2009-03-31 | 2009-03-31 | Strip break on-line detection method of acid pickling-rolling mill integral unit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910048596.1A CN101850368B (en) | 2009-03-31 | 2009-03-31 | Strip break on-line detection method of acid pickling-rolling mill integral unit |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101850368A CN101850368A (en) | 2010-10-06 |
| CN101850368B true CN101850368B (en) | 2014-01-01 |
Family
ID=42802143
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200910048596.1A Active CN101850368B (en) | 2009-03-31 | 2009-03-31 | Strip break on-line detection method of acid pickling-rolling mill integral unit |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101850368B (en) |
Families Citing this family (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102319883B (en) * | 2011-10-09 | 2014-01-29 | 北京首钢自动化信息技术有限公司 | Method for controlling on-line prediction of continuous casting blank quality |
| CN102553948B (en) * | 2011-12-30 | 2014-07-23 | 中冶南方（武汉）自动化有限公司 | Automatic dynamic adjustment method for synchronous extension of loop of cold rolling continuous processing line |
| CN102718089B (en) * | 2012-06-18 | 2014-10-08 | 北京首钢自动化信息技术有限公司 | Online strip steel CPC (center position control) audible-visual alarming system |
| CN104275351A (en) * | 2013-07-10 | 2015-01-14 | 上海宝钢工业技术服务有限公司 | Vibration-state on-line monitoring method of high-speed wire rod finishing block |
| CN103884506B (en) * | 2014-03-25 | 2019-07-23 | 福建省工业设备安装有限公司 | Production equipment on-line monitoring and fault diagnosis system and method based on wireless network |
| CN105318961B (en) * | 2014-07-29 | 2019-05-31 | 上海宝钢工业技术服务有限公司 | Drive the high-voltage motor vibrational state on-line monitoring method of conveyor belt |
| US9689777B2 (en) * | 2015-05-04 | 2017-06-27 | Deere & Company | Fault detection for bearings |
| CN105921525B (en) * | 2016-05-05 | 2017-09-01 | 广西柳州银海铝业股份有限公司 | The band afterbody method for correcting error of Continuous mill train |
| CN106077105B (en) * | 2016-06-21 | 2018-04-20 | 首钢京唐钢铁联合有限责任公司 | Strip breakage control system and control method for pickling line |
| CN106755933B (en) * | 2016-11-21 | 2018-12-14 | 首钢京唐钢铁联合有限责任公司 | Inlet loop mechanism, system and continuous-release line loop control method |
| CN108202301B (en) * | 2016-12-16 | 2020-03-27 | 上海梅山钢铁股份有限公司 | Online quick replacement device and replacement method for quick-wear parts in spray beam |
| CN107730486A (en) * | 2017-09-15 | 2018-02-23 | 首钢京唐钢铁联合有限责任公司 | Rolling mill protection method and device for acid continuous rolling production line |
| CN108038553B (en) * | 2017-12-13 | 2021-08-17 | 科大集智数据科技（武汉）有限公司 | Rolling mill equipment state on-line monitoring and diagnosing system and monitoring and diagnosing method |
| CN108639823A (en) * | 2018-05-21 | 2018-10-12 | 武汉科技大学 | It is a kind of can with strip width automatically adjust automatic deviation rectifying device and its control method |
| CN109909306B (en) * | 2019-03-11 | 2020-08-21 | 北京首钢自动化信息技术有限公司 | Monitoring method for on-line monitoring and intelligent degradation trend early warning of acid rolling equipment |
| CN112222205A (en) * | 2019-07-15 | 2021-01-15 | 宝山钢铁股份有限公司 | High-response strip breakage detection and protection method and system for rolling mill |
| CN111346925B (en) * | 2020-03-03 | 2022-05-10 | 首钢京唐钢铁联合有限责任公司 | Method and system for preventing strip breakage and vehicle sliding of acid continuous rolling mill |
| CN111360077B (en) * | 2020-03-03 | 2022-07-15 | 首钢京唐钢铁联合有限责任公司 | Control method for preventing strip steel from throwing into acid tank |
| CN114247983A (en) * | 2020-09-23 | 2022-03-29 | 宝山钢铁股份有限公司 | Laser weld quality evaluation method for high-silicon steel hot rolled plate |
| CN114247760B (en) * | 2020-09-23 | 2024-02-13 | 宝山钢铁股份有限公司 | Comprehensive diagnosis method for cold rolling broken belt of brittle material |
| CN114789200B (en) * | 2021-10-14 | 2024-02-09 | 天津市新宇彩板有限公司 | Method and system for fault self-diagnosis and recording of cold rolling unit |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6496120B1 (en) * | 1998-11-05 | 2002-12-17 | Steel Authority Of India Limited | System for on line continuous skidding detection in rolling mills |
-
2009
- 2009-03-31 CN CN200910048596.1A patent/CN101850368B/en active Active
Non-Patent Citations (6)
| Title |
|---|
| 《AVESTA POLARIT厂的轧制、退火、酸洗生产线》;Franz Pempera等;《钢铁》;20021130;第37卷(第11期);第38～41页 * |
| 《不锈钢的轧制、退火、酸洗综合生产线》;Andrew Orme;《钢铁》;20040430;第39卷(第4期);第41～44页 * |
| 《伯利恒钢铁公司酸洗冷轧联合机组的自动化系统》;G Keintzel等;《钢铁》;20011231;第36卷(第12期);第34～39页 * |
| Andrew Orme.《不锈钢的轧制、退火、酸洗综合生产线》.《钢铁》.2004,第39卷(第4期),第41～44页. |
| Franz Pempera等.《AVESTA POLARIT厂的轧制、退火、酸洗生产线》.《钢铁》.2002,第37卷(第11期),第38～41页. |
| G Keintzel等.《伯利恒钢铁公司酸洗冷轧联合机组的自动化系统》.《钢铁》.2001,第36卷(第12期),第34～39页. |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101850368A (en) | 2010-10-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101850368B (en) | Strip break on-line detection method of acid pickling-rolling mill integral unit | |
| CN104923567B (en) | Method for identifying and monitoring slippage of engagement of strip head into frame during finish rolling of hot rolled strip | |
| KR101091285B1 (en) | Apparatus and Method for controlling the rolling chattering of continuous rolling mill | |
| CN108568455A (en) | A kind of method of rolling mill vibration monitoring and vibration line defect estimation | |
| CN108982135A (en) | The on-line monitoring method of hot-rolled edger mill operating status | |
| CN108169559A (en) | A kind of judgment method of motor stator current spectrum analytical equipment exception | |
| CN112222205A (en) | High-response strip breakage detection and protection method and system for rolling mill | |
| CN101852599A (en) | Loop strip break on-line detection method of acid pickling-rolling mill integral unit | |
| CN208019154U (en) | Cold rolling galvanized wire threading steel detection device | |
| CN113020280A (en) | On-line precision evaluation method for rough rolling large vertical roll of hot rolled strip steel | |
| CN117419901A (en) | Intelligent operation and maintenance on-line monitoring device for cold rolling uncoiler | |
| US20240033799A1 (en) | Method for detecting abnormal vibration of rolling mill, apparatus for detecting abnormality of rolling mill, rolling method, and method for producing metal strip | |
| US20240165685A1 (en) | Method for detecting abnormal vibration of rolling mill, apparatus for detecting abnormality of rolling mill, rolling method, and method for producing metal strip | |
| CN106670242B (en) | The device of the offline Strip Shape of On-line Control | |
| CN113263057B (en) | Monitoring and early warning method for rigidity precision of hot-rolled strip steel coiling machine | |
| GB2166569A (en) | Arrangement for the automated control, balancing and diagnosis of rolling processes | |
| CN106807762B (en) | Pass through the method for the deviation rectification roller stroke pre-control cold continuous rolling mode of production | |
| CN206936024U (en) | Strip centering adjusting device | |
| CN220678960U (en) | Rolling mill rotates and leads defend real-time supervision device | |
| CN112146698B (en) | Method for monitoring state of driving wheel | |
| CN217276025U (en) | Cold-rolled steel strip width measuring device | |
| CN218464760U (en) | Displacement deviation detection device for roller of belt conveyor | |
| CN218574613U (en) | Rolling mill current overload alarm device of steel rolling line | |
| CN113441555B (en) | Personnel abnormal behavior evaluation system based on audio and video of personnel in operation field | |
| CN217912179U (en) | Strip breakage protection control system of continuous rolling unit |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent of invention or patent application | ||
| CB02 | Change of applicant information |
Address after: 201900 Shanghai city Baoshan District Meipu Road No. 335 Applicant after: SHANGHAI BAOSTEEL INDUSTRY TECHNOLOGICAL SERVICE Co.,Ltd. Address before: 201900 Shanghai city Baoshan District Meipu Road No. 335 Applicant before: Shanghai Baosteel Industrial Inspection Co.,Ltd. Address after: 201900 Shanghai city Baoshan District Meipu Road No. 335 Applicant after: Shanghai Baosteel Industrial Inspection Co.,Ltd. Address before: 201900 Shanghai city Baoshan District Meipu Road No. 335 Applicant before: Shanghai Baosteel Industry Inspection Corp. |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: APPLICANT; FROM: SHANGHAI BAOSTEEL INDUSTRY INSPECTION CORP. TO: SHANGHAI BAOSTEEL INDUSTRIAL INSPECTION CO., LTD. Free format text: CORRECT: APPLICANT; FROM: SHANGHAI BAOSTEEL INDUSTRIAL INSPECTION CO., LTD. TO: SHANGHAI BAOSTEEL INDUSTRY TECHNOLOGICAL SERVICE CO., LTD. |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CP03 | Change of name, title or address | ||
| CP03 | Change of name, title or address |
Address after: No. 3520 Tongji Road, Baoshan District, Shanghai, 201900 Patentee after: Baowu equipment Intelligent Technology Co.,Ltd. Address before: 201900, 335, Pu Pu Road, Shanghai, Baoshan District Patentee before: SHANGHAI BAOSTEEL INDUSTRY TECHNOLOGICAL SERVICE Co.,Ltd. |