CN110059403A - The fatigue detecting analysis and assessment system of track girder group - Google Patents
The fatigue detecting analysis and assessment system of track girder group Download PDFInfo
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- CN110059403A CN110059403A CN201910303841.2A CN201910303841A CN110059403A CN 110059403 A CN110059403 A CN 110059403A CN 201910303841 A CN201910303841 A CN 201910303841A CN 110059403 A CN110059403 A CN 110059403A
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- track girder
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- 238000004458 analytical method Methods 0.000 title claims abstract description 17
- 238000001514 detection method Methods 0.000 claims abstract description 21
- 238000007689 inspection Methods 0.000 claims abstract description 7
- 238000004364 calculation method Methods 0.000 claims abstract description 6
- 230000001186 cumulative effect Effects 0.000 claims abstract description 5
- 238000004891 communication Methods 0.000 claims description 10
- 230000005672 electromagnetic field Effects 0.000 claims description 4
- 230000005284 excitation Effects 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 230000008878 coupling Effects 0.000 claims description 3
- 238000010168 coupling process Methods 0.000 claims description 3
- 238000005859 coupling reaction Methods 0.000 claims description 3
- 230000015556 catabolic process Effects 0.000 abstract description 3
- 238000006731 degradation reaction Methods 0.000 abstract description 3
- 238000011897 real-time detection Methods 0.000 abstract description 3
- 206010000372 Accident at work Diseases 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
Abstract
The invention discloses a kind of fatigue detecting analysis and assessment systems of track girder group, the label layer of this system includes several passive balises set on each track girder, identification layer includes several readers set on each travelling crane inspection platform side, application layer includes detection and early warning Internet of Things cloud service platform, when reader following vehicle is run to passive balise, the information that reader is read in passive balise is identified, and cumulative 1 is counted to the variable of the passive balise on the counter in reader, collected information is uploaded to detection in real time and stored with early warning Internet of Things cloud service platform by reader, detection carries out analytical calculation by track girder group mechanism of fatigue model according to storage information with early warning Internet of Things cloud service platform, the structural fatigue prediction and state for providing track girder deteriorate warning information.This system real-time detection driving operation frequency, obtains the force-bearing situation of track girder indirectly, obtains track girder fatigue degradation trend through analysis, prevent industrial accident.
Description
Technical field
The present invention relates to a kind of assessments point of the fatigue detecting of equipment Examination and diagnosis field more particularly to track girder group
Analysis system.
Background technique
The lifting gear driven a vehicle as cargo transfer is generallyd use in steel-structure factory building, is a kind of machine of intermitten
Structure, work characteristics are frequent starting and braking, when drive a vehicle long-term walking with load when, driving wheel is to the rail being mounted on track girder
Generate longitudinal stress.Meanwhile the instantaneous force that starting is generated with braking process of driving a vehicle can also cause track beam vibration.It is long this with
Past, track girder will appear structural fatigue under driving pressure and stress collective effect, if failing to find and handle in time, it will
Generate serious accident.
Track girder is to measure the important parameter of its tired service life in the stress amplitude cycle-index of its Fatigue Check point,
Common practice is that stress strain gauge is largely laid on more track girders of driving system, and need to be according to the practical feelings in scene
The most reasonable routing laying wiring of condition selection, constructs the stress variation that a set of sensing system comes real-time monitoring track girder group,
To realize the fatigue detecting of track girder group.So lead to the higher cost of fatigue detecting, is sensed in live track girder group
Device setting and cable wiring manufacture difficulty are larger, and are not easy to the maintenance and repair in later period.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of fatigue detecting analysis and assessment systems of track girder group, originally
System overcomes the defect of conventional rails beam group fatigue detecting, the real-time detection driving operation frequency, obtain indirectly track girder by
Power situation, and then can analyze to obtain track girder fatigue degradation trend, it effectively prevent that safety occurs because track girder state deteriorates
Production accident.
In order to solve the above technical problems, the fatigue detecting analysis and assessment system of track girder group of the present invention include track girder,
Label layer, identification layer and application layer；
The label layer includes several passive balises set on each track girder, and the identification layer includes being set to each travelling crane inspection to put down
Several readers of platform side, the application layer include detection and early warning Internet of Things cloud service platform, the reader following vehicle
When running along track girder to the passive balise, passive balise described in the electromagnetic field excitation that the reader generates simultaneously is read
Information in passive balise is identified, and is counted on the counter in the reader to the variable of the passive balise
Cumulative 1, collected information is uploaded to the detection by wireless communication in real time and taken with early warning Internet of Things cloud by the reader
Business platform is stored, and the detection is pre- by track girder group fatigue according to storage information with early warning Internet of Things cloud service platform
It surveys model and carries out analytical calculation, the structural fatigue prediction and state for providing track girder deteriorate warning information.
Further, the passive balise includes micro-chip processor, coupling element and antenna, and built-in respective carter beam
The electronic code of unique identification, the electronic code include the serial number and location information of respective carter beam.
Further, the reader includes that gain antenna, power module, System on Chip/SoC, communication module and hyperfrequency occur
Device, the reader read the information in passive balise and identification by ultra-high frequency generator, by communication in communication module
Breath detects and early warning Internet of Things cloud service platform to described.
Further, it is described detection with early warning Internet of Things cloud service platform be integrated with track girder group forecasting fatigue model,
The WEB application terminal of early warning processing module, early warning release module and early warning tracking module.
Further, the WEB application terminal is smart phone or tablet computer.
Since the fatigue detecting analysis and assessment system of track girder group of the present invention uses above-mentioned technical proposal, i.e. this system includes
Track girder, label layer, identification layer and application layer；Label layer includes several passive balises set on each track girder, recognizes layer packet
Several readers set on each travelling crane inspection platform side are included, application layer includes detection and early warning Internet of Things cloud service platform, is read
When reading device following vehicle and running along track girder to passive balise, the information that reader is read in passive balise is identified, and
Cumulative 1 is counted to the variable of the passive balise on counter in reader, reader by collected information it is real-time on
It passes to detection to be stored with early warning Internet of Things cloud service platform, detection is with early warning Internet of Things cloud service platform according to storage information
Analytical calculation is carried out by track girder group forecasting fatigue model, the structural fatigue prediction and state for providing track girder deteriorate early warning
Information.This system overcomes the defect of conventional rails beam group fatigue detecting, and the real-time detection driving operation frequency obtains track indirectly
The force-bearing situation of beam, and then can analyze to obtain track girder fatigue degradation trend, it effectively prevent sending out because track girder state deteriorates
Raw industrial accident.
Detailed description of the invention
The present invention will be further described in detail below with reference to the accompanying drawings and embodiments:
Fig. 1 is the fatigue detecting analysis and assessment system principle diagram of track girder group of the present invention；
Fig. 2 is passive balise and reader schematic view of the mounting position in this system.
Specific embodiment
Embodiment is as depicted in figs. 1 and 2, and the fatigue detecting analysis and assessment system of track girder group of the present invention includes track
Beam, label layer, identification layer and application layer；
The label layer includes several passive balises 1 set on each track girder 4, and the identification layer includes being set to each travelling crane inspection
Several readers 2 of 5 side of platform, the application layer include detection and early warning Internet of Things cloud service platform 3, the reader 2
It is passive described in the electromagnetic field excitation that the reader 2 generates to answer when following vehicle is along the operation of track girder 4 to the passive balise 1
It answers device 1 and the information read in passive balise 1 is identified, and this passive is answered on the counter in the reader 2
The variable for answering device 1 counts cumulative 1, and collected information is uploaded to the detection by wireless communication by the reader 2 in real time
It is stored with early warning Internet of Things cloud service platform 3, the detection is logical according to storage information with early warning Internet of Things cloud service platform 3
It crosses track girder group forecasting fatigue model and carries out analytical calculation, the structural fatigue prediction and state for providing track girder 4 deteriorate early warning
Information.
Preferably, the passive balise 1 includes micro-chip processor, coupling element and antenna, and built-in respective carter
The electronic code of 4 unique identification of beam, the electronic code include the serial number and location information of respective carter beam 4.
Preferably, the reader 2 includes that gain antenna, power module, System on Chip/SoC, communication module and hyperfrequency occur
Device, the reader 2 by ultra-high frequency generator read passive balise 1 in information and identification, by communication module upload
Information detects and early warning Internet of Things cloud service platform 3 to described.
Preferably, it is described detection with early warning Internet of Things cloud service platform 3 be integrated with track girder group forecasting fatigue model,
The WEB application terminal of early warning processing module, early warning release module and early warning tracking module.
Preferably, the WEB application terminal is smart phone or tablet computer.
Passive balise uses the passive balise of pottery in this system, to avoid driving operational process metal hand rail etc.
Interference, it is ensured that the reliability of information collection；Reader adds up to by the number of passive balise, obtains driving and passes through
The frequency of the track girder measuring point of passive balise is set, and the detection of application layer and early warning Internet of Things cloud service platform are mainly used for pair
The data of acquisition carry out visualization display, provide history curve, and the data of acquisition are passed through track girder group forecasting fatigue mould
Type carries out analytical calculation, and the structural fatigue prediction and state for providing track girder deteriorate warning information；Pass through track girder by driving
The cycle-index of passive balise measuring point is set, can quickly determine the track girder for being likely to occur stress fatigue.
Wherein, track girder group forecasting fatigue model can be as disclosed in Chinese patent literature CN105069182 A " for supervising
The method for surveying the tired service life of crane girder " is constituted, i.e., record has the location information of track girder in the prediction model；According to rail
The location information of road beam sets the location information of Fatigue Check point for track girder；Corresponding stress amplitude is established in Fatigue Check point
Function, wherein stress amplitude function is using hoisting weight and traveling position as input variable；
The stress formed using each traveling process that corresponding stress amplitude function calculates crane in the Fatigue Check point of track girder
Width；Stress amplitude cycle-index by the stress amplitude conversion of the Fatigue Check point of track girder to indicate fatigue life.
For example, the track girder in the hot-rolled finished product library of certain iron and steel corporation installs this system, travelling crane inspection platform guardrail additional
Frequency reader is fixedly mounted in place, and the track girder corresponding position installation pottery passive balise for needing to monitor is carried in driving
When frequency reader is run, when frequency reader is passive by that can generate electromagnetic field excitation pottery when pottery passive balise
Transponder, frequency reader acquire the track girder information built in pottery passive balise and in the electronic tags of frequency reader
Add up the frequency on counter.Frequency reader sends detection and early warning Internet of Things cloud for the data of acquisition by industrial wireless network
Service platform carries out data processing and display, and frequency data real-time update to track girder group forecasting fatigue model carries out analysis meter
It calculates, finally provides the predictive analysis results of track girder fatigue, and issue the user with alarm, user is prompted to take timely measure to rail
Road beam-like state carries out structure inspection, to avoid the generation of safety accident.
Claims (5)
1. a kind of fatigue detecting analysis and assessment system of track girder group, including track girder, it is characterised in that: further include mark
Layer, identification layer and application layer；
The label layer includes several passive balises set on each track girder, and the identification layer includes being set to each travelling crane inspection to put down
Several readers of platform side, the application layer include detection and early warning Internet of Things cloud service platform, the reader following vehicle
When running along track girder to the passive balise, passive balise described in the electromagnetic field excitation that the reader generates simultaneously is read
Information in passive balise is identified, and is counted on the counter in the reader to the variable of the passive balise
Cumulative 1, collected information is uploaded to the detection by wireless communication in real time and taken with early warning Internet of Things cloud by the reader
Business platform is stored, and the detection is pre- by track girder group fatigue according to storage information with early warning Internet of Things cloud service platform
It surveys model and carries out analytical calculation, the structural fatigue prediction and state for providing track girder deteriorate warning information.
2. the fatigue detecting analysis and assessment system of track girder group according to claim 1, it is characterised in that: described passive
Transponder includes micro-chip processor, coupling element and antenna, and the electronic code of built-in respective carter beam unique identification, described
Electronic code includes the serial number and location information of respective carter beam.
3. the fatigue detecting analysis and assessment system of track girder group according to claim 1, it is characterised in that: the reading
Device includes gain antenna, power module, System on Chip/SoC, communication module and ultra-high frequency generator, and the reader passes through hyperfrequency
Generator read passive balise in information and identification, by communication module upload information to it is described detection with early warning Internet of Things
Cloud service platform.
4. the fatigue detecting analysis and assessment system of track girder group according to claim 1,2 or 3, it is characterised in that: institute
Stating detection and early warning Internet of Things cloud service platform is to be integrated with track girder group forecasting fatigue model, early warning processing module, early warning
The WEB application terminal of release module and early warning tracking module.
5. the fatigue detecting analysis and assessment system of track girder group according to claim 4, it is characterised in that: the WEB
Application terminal is smart phone or tablet computer.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910303841.2A CN110059403A (en) | 2019-04-16 | 2019-04-16 | The fatigue detecting analysis and assessment system of track girder group |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910303841.2A CN110059403A (en) | 2019-04-16 | 2019-04-16 | The fatigue detecting analysis and assessment system of track girder group |
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| CN110059403A true CN110059403A (en) | 2019-07-26 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110926770A (en) * | 2019-11-12 | 2020-03-27 | 上海宝钢工业技术服务有限公司 | Quantitative evaluation method for fatigue life of crane steel beam group |
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| CN104748960A (en) * | 2015-04-15 | 2015-07-01 | 武汉理工大学 | Online crane beam stress monitoring and fault diagnosis system and method |
| CN108106663A (en) * | 2017-12-07 | 2018-06-01 | 云南航天工程物探检测股份有限公司 | Online Visual Creating and management bridge monitoring platform |
| CN207552827U (en) * | 2017-11-29 | 2018-06-29 | 北京交通大学 | A kind of rail system safe condition comprehensive monitoring and intelligent analysis system |
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- 2019-04-16 CN CN201910303841.2A patent/CN110059403A/en active Pending
Patent Citations (7)
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|---|---|---|---|---|
| CN1949292A (en) * | 2006-10-31 | 2007-04-18 | 天津大学 | Real-time testing system and method for speed and relative position of vehicle on expressway |
| CN102592458A (en) * | 2012-02-07 | 2012-07-18 | 福州大学 | Road traffic flow detection method and system based on RFID (Radio Frequency Identification) |
| CN102589993A (en) * | 2012-02-09 | 2012-07-18 | 东南大学 | Method for monitoring overall welded joint fatigue damage of steel bridge deck of highway |
| CN202711280U (en) * | 2012-06-08 | 2013-01-30 | 袁方 | RFID intelligent detection tracking system |
| CN104748960A (en) * | 2015-04-15 | 2015-07-01 | 武汉理工大学 | Online crane beam stress monitoring and fault diagnosis system and method |
| CN207552827U (en) * | 2017-11-29 | 2018-06-29 | 北京交通大学 | A kind of rail system safe condition comprehensive monitoring and intelligent analysis system |
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| CN110926770A (en) * | 2019-11-12 | 2020-03-27 | 上海宝钢工业技术服务有限公司 | Quantitative evaluation method for fatigue life of crane steel beam group |
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Application publication date: 20190726 |
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