CN109231014A - A kind of hoisting machinery axletree off-axis forecasting system and its prediction technique - Google Patents
A kind of hoisting machinery axletree off-axis forecasting system and its prediction technique Download PDFInfo
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- CN109231014A CN109231014A CN201811156842.0A CN201811156842A CN109231014A CN 109231014 A CN109231014 A CN 109231014A CN 201811156842 A CN201811156842 A CN 201811156842A CN 109231014 A CN109231014 A CN 109231014A
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- axletree
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- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000013480 data collection Methods 0.000 claims description 9
- 238000005259 measurement Methods 0.000 claims description 2
- 238000001514 detection method Methods 0.000 abstract description 5
- 238000004364 calculation method Methods 0.000 abstract description 3
- 238000009434 installation Methods 0.000 abstract description 3
- 206010041541 Spinal compression fracture Diseases 0.000 abstract 1
- 230000009429 distress Effects 0.000 abstract 1
- 238000012544 monitoring process Methods 0.000 description 6
- 239000000463 material Substances 0.000 description 4
- 239000003638 chemical reducing agent Substances 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 2
- 238000005183 dynamical system Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
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- JEIPFZHSYJVQDO-UHFFFAOYSA-N ferric oxide Chemical compound O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 description 1
- 230000003137 locomotive effect Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C15/00—Safety gear
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C13/00—Other constructional features or details
- B66C13/16—Applications of indicating, registering, or weighing devices
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Jib Cranes (AREA)
Abstract
The invention discloses a kind of hoisting machinery axletree off-axis forecasting system and its prediction technique, off-axis is predicted including installation of the sensor on axletree and system calculation method.System mainly surveys one rotary encoder of each installation by the wheel side and power in axletree, when wheel starts, the rotation angular values of two rotary encoders of system acquisition, are calculated the rotation angle difference of two encoders, to obtain the angle value of axletree torsion.When system judges that torsion angle values are greater than danger threshold, then it is dangerous to there is tired off-axis in axletree.The present invention can acquire in real time in hoisting machinery use and judge the health and fitness information of axletree, when there is off-axis risk in axletree, system sends distress signal in time, service personnel is reminded to carry out health detection, it is lost caused by reducing because of axletree burst fracture, is conducive to improve lifting equipment safety in utilization.
Description
Technical field
The present invention relates to a kind of hoisting machinery axletree off-axis forecasting systems, and in particular to one kind is based on axletree torsion angle
The hoisting machinery axletree off-axis forecast assessment system and its prediction algorithm for spending monitoring, belong to engineering monitoring and security control is led
Domain.
Background technique
Application of the hoisting machinery in engineering construction is more extensive, by the continuous introduction and innovation of technology, engineering lifting
Machine product appearance, wherein performance, in terms of have raising by a relatively large margin.Simultaneously with large quantities of high starts, level
Advanced crane product is constantly introduced to the market, and status of China's crane in international counterparts is substantially increased.
Middle large tonnage product technology is ripe day by day, and is more approved by international market, and country also increasingly payes attention to the safety of hoisting machinery
Problem.The operating of hoisting machinery be unable to do without the use of axletree, and axletree is the important force transferring part of hoisting machinery mechanism operation.
Exactly in the long-term use, the damage of axletree is also most serious to such crane.At present in lifting equipment, nothing is gone back
Method quickly and effectively solves the monitoring problem in advance of axletree damage, so we need to carry out the safety in utilization of axletree
Real time monitoring, can predict in advance when causing danger situation, and go to solve failure problems to the time of staff's abundance
Reduce security risk.Otherwise staff can only go service life and the efficiency of perception axletree by naked eyes and experience, give
Hoisting machinery brings very big security risk.
Summary of the invention
A kind of hoisting machinery axletree off-axis forecasting system and its prediction technique, the system is mainly by axletree 5
Wheel side installs a rotary encoder, the pivoting angle data of 3 side of wheel to acquire axletree 5, referred to as wheel side
Encoder 2;One rotary encoder is installed in the power side of axletree 5, to acquire axletree 5 in motor 4 or speed reducer 6
The pivoting angle data of side, referred to as power side encoder 1.
The axletree 5 of crane is during prolonged use, it may appear that a degree of torsion damage and fatigue damage
Evil, the active strength of axletree 5, which calculates sectional area, to be reduced therewith.Therefore when fatigue damage occurs in the axletree 5 of crane,
Axletree 5 is when bearing same torque, windup-degree that both ends are occurredIt will appear certain increase phenomenon, work as torsion
When gyration increases above certain threshold value, the off-axis risk of axletree 5 can be increased dramatically, and need that related personnel is reminded to pay attention to.
In the case where known 5 starting torque of crane locomotive wheel shaft, 5 material properties of 5 length of axletree and axletree, axletree 5 is dynamic
Relative torsion angle formula between 3 side two sections of power side and wheel is as follows:
Wherein: T-torque;L-shaft length;G-material relative modulus;G·Ip- torsional rigidity.
Wherein, the polar moment of inertia I of circular section axispCalculation formula are as follows:
When crane starting, acquisition system acquires the rotation angular values of two rotary encoders in real time, passes through calculating
The difference of the rotation angle of wheel side encoder 2 and power side encoder 1 is obtained, to obtain what axletree reversed on startup
Angle value
For the wheel shaft size and material property of tested crane, by modeling Analysis, tested wheel is obtained
Axis 5 is when starting rotation, the reasonable difference of rotation angle of the wheel lateral section of axletree 5 and the generation of power lateral section.By the value
It is multiplied by after safety coefficient, can be used as the danger threshold of the rotation angle difference of the axletree 5.The axletree that system detection is arrived
5 practical torsion angle valuesIt is compared with danger threshold, when surveying torsion angle values greater than danger threshold, system determines vehicle
Wheel shaft 5 is under off-axis precarious position, and system can sound an alarm call user's attention.
Preferably, when hoisting machinery is newly to go out plant, it is believed that it is optimal that axletree 5 at this time is in structural strength
The windup-degree danger threshold in stage, axletree 5 can be measured by crane actual motion.
It preferably,, need to be again right when starting torque being caused to change when the electrical or mechanical attribute of hoisting machinery changes
The danger threshold of 5 windup-degree of axletree is calculated and is demarcated.
Technical problems to be solved:
It takes place frequently for current 5 off-axis situation of hoisting machinery axletree, and the operation of axletree 5 intensity is big, fatigue damage is difficult to
The case where control.This field lacks corresponding automatic monitoring system at present, only by record axletree 5 using the time and
Working strength calculates whether axletree 5 is in a safe condition, has biggish risk, is easy to happen erroneous judgement, unforeseeable
The damage of axletree 5 leads to serious work safety accident.
That in order to solve the above-mentioned technical problems, the present invention provides a kind of designs is simple, can detect rationally and effectively lifting
The safe condition of mechanical car's wheel shaft 5 can accomplish real-time monitoring and remind user, and not influence rising for hoisting machinery normal use
5 off-axis forecasting system of hoisting machinery axletree and its prediction technique, key step include as follows.
Sensor installation steps: synchronous with wheel 3 by installing a rotary encoder 2 in 3 side of wheel of axletree 5
Rotation, the pivoting angle data of 3 side of wheel to acquire axletree 5, referred to as wheel side encoder 2;In the dynamic of axletree 5
Power side is installed by one rotary encoder, the power side synchronous rotary with axletree 5, to acquire axletree 5 in motor or subtract
The pivoting angle data of fast machine side, referred to as power side encoder 1;
Data collection steps: data collection system 7 can be collected wheel side encoder 2 and be moved by cable connection
The pivoting angle data that the transmission of power side encoder 1 comes;
Data analysis step: when data collection system 7 detects that power side encoder 1 rotates, start while adopting
Collect the rotation angle of power side encoder 1 and wheel side encoder 2.After power side encoder 1 rotates by a certain angle, axletree
5 torsion is transmitted to wheel side from power side, at this point, the wheel of crane starts to rotate, wheel side encoder 2 begins with rotation
Angular values output.The difference for calculating the rotation angle of the rotation angle and wheel side of power side at this time, can be obtained axletree 5 and exists
The torsion angle values occurred when starting
Judgment step: the practical torsion angle values of axletree 5 that system detection is arrivedIt is compared with danger threshold, works as reality
When surveying torsion angle values greater than danger threshold, system determines that axletree 5 is under off-axis precarious position, and system can be sounded an alarm and be mentioned
User wake up note that if it is not, being then back to data analysis step.
Preferably, when hoisting machinery is newly to go out plant, it is believed that it is optimal that axletree 5 at this time is in structural strength
The windup-degree danger threshold in stage, axletree 5 can be measured by crane actual motion.
It preferably,, need to be again right when starting torque being caused to change when the electrical or mechanical attribute of hoisting machinery changes
The danger threshold of 5 windup-degree of axletree is calculated and is demarcated.
The invention has the following advantages:
The present invention provides a kind of hoisting machinery axletree off-axis forecasting system and its prediction according to the demand of Practical Project
Method may be implemented to carry out analytical calculation to the safe coefficient of the axletree 5 of hoisting machinery, realize the reality of axletree off-axis early warning
When monitor, can effectively prevent axletree occur in use suddenly be broken the case where, ensure equipment use and production line
Safety avoids personnel and property damage, conducive to the safety in utilization for improving lifting equipment.Be conducive to fundamentally change
Become existing " periodic maintenance " and " correction maintenance " system in China, integrally-built real time security evaluation is done step-by-step.
Detailed description of the invention
Fig. 1 is system fitting arrangement of the invention, in figure: 1: power side encoder;2: wheel side encoder;3: vehicle
Wheel;4: engine;5: axletree;6: speed reducer;7 data collection systems.
Fig. 2 is work flow diagram of the invention
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with the attached drawing in the present invention, to this
Technical solution in inventive embodiments carries out clear, complete description.Obviously, described embodiment is a part of the invention
Embodiment, instead of all the embodiments.Based on the embodiments of the present invention, different technologies personnel in this field are not making wound
Every other embodiment obtained under the premise of the property made is worked, shall fall within the protection scope of the present invention.
Embodiment: in conjunction with Fig. 1, the present invention installs a rotary encoder in the wheel side of hoisting machinery axletree 5, to
Acquire the pivoting angle data of 3 side of wheel of axletree 5, referred to as wheel side encoder 2;It is installed in the power side of axletree 5
One rotary encoder, to acquire axletree 5 in the pivoting angle data of 6 side of motor 4 or speed reducer, referred to as power side
Encoder 1.
In the present embodiment, the wheel side encoder 2 and power side encoder 1 of measurement rotation angle select incremental to revolve
Turn encoder.Incremental-rotating coder can generate the detection original part of pulse signal, the production of pulse signal when being a kind of rotation
Raw quantity is related with the individual pen resolution ratio of the rotating cycle of rotary encoder and rotary encoder, the list of incremental-rotating coder
After circle resolution ratio determines, the rotation angle for the determining rotary encoder that can be converted by collected umber of pulse.
Workflow of the invention is as follows combined with Figure 1 and Figure 2,
Step 1: when hoisting machinery brings into operation, the dynamical systems such as motor 4 of hoisting machinery start running, power
System drives the axletree 5 of crane to rotate together, and this system brings into operation at this time, acquires the rotation angle of rotary encoder.
Since axletree 5 is made of materials such as steels, there are certain elasticity of torsions, therefore power side encoder 1 starts to revolve at this time
Turn, and wheel side encoder 2 does not have started rotation.
Step 2: the dynamical system of the crane brought into operation after a period of time, since the elasticity of axletree 5 is made
With rotation takes place in the wheel 3 of crane, and the rotary encoder with 3 side of motor car wheel starts turning.Data collection system at this time
The angle value F that 7 record power side encoders 1 have rotated1, the rotation angle value C of wheel side encoder 21。
Step 3: data collection system 7 calculates the torsion that the 5 collected axletree of both ends encoder of axletree is occurred
Angle
Step 4: 5 windup-degree of axletree that system detection is arrivedIt is compared with danger threshold, works as torsion angle values
When greater than danger threshold, system determines that axletree 5 is under off-axis precarious position, and system can sound an alarm call user's attention,
If it is not, then continuing to execute above-mentioned detecting step when hoisting machinery is run again.
The off-axis prediction of hoisting machinery axletree can be completed by above step.
Claims (4)
1. a kind of hoisting machinery axletree off-axis forecasting system and its prediction technique, it is characterised in that: system is mainly by being mounted on
The wheel side encoder of the wheel side of axletree, be mounted on axletree power side power side encoder and data collection system
Composition, wherein wheel side encoder is for acquiring axletree in the rotation angle of wheel side, and power side encoder is for acquiring
Axletree in the pivoting angle data of power side, simultaneously sentenced by the data information of data collection system acquisition process rotary encoder
It is disconnected, calculate whether current hoisting machinery axletree is in off-axis precarious position.
2. being based on a kind of hoisting machinery axletree off-axis forecasting system and its prediction technique, feature described in claim 1 to exist
Axletree is judged in: the forecasting system and prediction technique are the torsion angle values of the both ends of the surface using axletree on startup
Whether off-axis precarious position is in.
3. being based on a kind of hoisting machinery axletree off-axis forecasting system and its prediction technique, feature described in claim 1 to exist
In: the prediction technique determines that data collection system starts to carry out data acquisition when hoisting machinery brings into operation, and in vehicle
Wheel shaft wheel side starts to terminate to acquire when rotation.
4. being based on a kind of hoisting machinery axletree off-axis forecasting system and its prediction technique, feature described in claim 1 to exist
In: the danger threshold that the prediction technique is utilized is that actual measurement when hoisting machinery axletree starts under structural health conditions is turned round
Corner angle value.
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CN201811156842.0A CN109231014A (en) | 2018-09-30 | 2018-09-30 | A kind of hoisting machinery axletree off-axis forecasting system and its prediction technique |
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CN201811156842.0A CN109231014A (en) | 2018-09-30 | 2018-09-30 | A kind of hoisting machinery axletree off-axis forecasting system and its prediction technique |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113532891A (en) * | 2021-06-16 | 2021-10-22 | 武汉理工大学 | Synchronous measurement method for rotating speed, torsional vibration and torque signals at two ends of wheel shaft |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201574060U (en) * | 2009-07-22 | 2010-09-08 | 大连宝通工业控制有限公司 | Broken shaft protection system for metallurgical crane |
CN102530749A (en) * | 2012-01-17 | 2012-07-04 | 青岛港(集团)有限公司 | Novel crane luffing mechanism |
CN202429929U (en) * | 2012-01-17 | 2012-09-12 | 青岛港(集团)有限公司 | Novel crane luffing mechanism |
CN104964820A (en) * | 2015-05-22 | 2015-10-07 | 杭州电子科技大学 | Rotary machine broken shaft fault on-line prediction method and apparatus |
CN106276590A (en) * | 2016-08-12 | 2017-01-04 | 甘正棠 | One monitors cart walking mechanism in real time |
CN108217467A (en) * | 2017-12-26 | 2018-06-29 | 北京起重运输机械设计研究院 | A kind of shaft coupling off-axis detection protection system, method and crane |
CN207861738U (en) * | 2017-12-26 | 2018-09-14 | 北京起重运输机械设计研究院 | A kind of shaft coupling off-axis detection protection system and crane |
-
2018
- 2018-09-30 CN CN201811156842.0A patent/CN109231014A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201574060U (en) * | 2009-07-22 | 2010-09-08 | 大连宝通工业控制有限公司 | Broken shaft protection system for metallurgical crane |
CN102530749A (en) * | 2012-01-17 | 2012-07-04 | 青岛港(集团)有限公司 | Novel crane luffing mechanism |
CN202429929U (en) * | 2012-01-17 | 2012-09-12 | 青岛港(集团)有限公司 | Novel crane luffing mechanism |
CN104964820A (en) * | 2015-05-22 | 2015-10-07 | 杭州电子科技大学 | Rotary machine broken shaft fault on-line prediction method and apparatus |
CN106276590A (en) * | 2016-08-12 | 2017-01-04 | 甘正棠 | One monitors cart walking mechanism in real time |
CN108217467A (en) * | 2017-12-26 | 2018-06-29 | 北京起重运输机械设计研究院 | A kind of shaft coupling off-axis detection protection system, method and crane |
CN207861738U (en) * | 2017-12-26 | 2018-09-14 | 北京起重运输机械设计研究院 | A kind of shaft coupling off-axis detection protection system and crane |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113532891A (en) * | 2021-06-16 | 2021-10-22 | 武汉理工大学 | Synchronous measurement method for rotating speed, torsional vibration and torque signals at two ends of wheel shaft |
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Application publication date: 20190118 |