CN110619171A - Fatigue failure algorithm for large tower crane cable - Google Patents
Fatigue failure algorithm for large tower crane cable Download PDFInfo
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- 239000000463 material Substances 0.000 claims abstract description 35
- 239000013307 optical fiber Substances 0.000 claims abstract description 18
- 238000000605 extraction Methods 0.000 claims description 43
- 238000004458 analytical method Methods 0.000 claims description 42
- 238000012545 processing Methods 0.000 claims description 29
- 238000005259 measurement Methods 0.000 claims description 21
- 238000000034 method Methods 0.000 claims description 14
- 238000013523 data management Methods 0.000 claims description 9
- 238000007726 management method Methods 0.000 claims description 7
- 230000004044 response Effects 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 4
- 238000011160 research Methods 0.000 claims description 4
- 239000000203 mixture Substances 0.000 claims description 3
- 239000000835 fiber Substances 0.000 claims 1
- 230000011664 signaling Effects 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 abstract description 7
- 238000001514 detection method Methods 0.000 abstract description 3
- 230000004927 fusion Effects 0.000 abstract description 2
- 230000003068 static effect Effects 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 7
- 238000013528 artificial neural network Methods 0.000 description 4
- 238000003745 diagnosis Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 210000004556 brain Anatomy 0.000 description 2
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- 238000000342 Monte Carlo simulation Methods 0.000 description 1
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- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000009533 lab test Methods 0.000 description 1
- 238000011031 large-scale manufacturing process Methods 0.000 description 1
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- 238000011897 real-time detection Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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Abstract
The invention discloses a fatigue failure algorithm of a large tower crane cable, which comprises an optical fiber sensing equipment module and a signal transmitting module, wherein the output end of the optical fiber sensing equipment module is the signal transmitting module, the signal transmitting module receives a signal from the optical fiber sensing equipment module, and the optical fiber sensing equipment module and the signal transmitting module are in a transmitting and receiving relationship, the algorithm realizes the fusion of the influence of the cross-sectional size, the elastic modulus of a material, the unit type and the thickness of the cable on damage increment and the static loading condition, so that the fatigue degree can be effectively controlled, the comparison with the existing specified value is carried out, the specified value is the upper limit or lower limit threshold range of a certain parameter, the monitoring result of the time is compared with the operating data of the cable in the past year, and the monitoring result of the same cable or the same type of cable is compared, thereby allowing better detection.
Description
Technical Field
The invention belongs to the related technical field of monitoring field of large-scale production equipment, and particularly relates to a fatigue failure algorithm of a large-scale tower crane cable.
Background
After the optical fiber sensing equipment acquires the state information of the cable, the state information of the cable is further diagnosed and analyzed, and the extraction of the state characteristic information of the cable is the key for realizing the cable evaluation. The diagnosis method mainly comprises conventional cable fault diagnosis and a diagnosis method based on an artificial neural network, and the artificial neural network is used as a novel information processing system which is close to a human brain structure in form and has strong parallel processing capability, distributed storage capability and self-adaptive learning capability.
The existing fatigue failure algorithm technology of the large tower crane cable has the following problems: the fatigue failure algorithm of the existing large tower crane cable cannot well operate the fatigue degree of each aspect when working, so that the phenomenon that the cable falls off possibly when the cable cracks seriously due to the fact that the cable is too fatigue possibly occurs, and the problem of occurrence of a series of safety accidents possibly occurs.
Disclosure of Invention
The invention aims to provide a fatigue failure algorithm for a large tower crane cable, which aims to solve the problem that the existing fatigue failure algorithm for the large tower crane cable in the background art can not effectively detect the fatigue degree, so that the phenomenon that the cable falls off due to overlarge fatigue degree can be caused.
In order to achieve the purpose, the invention provides the following technical scheme: a fatigue failure algorithm of a large tower crane cable comprises an optical fiber sensing equipment module and a signal sending module, wherein the output end of the optical fiber sensing equipment module is the signal sending module, the signal sending module receives signals from the optical fiber sensing equipment module, the optical fiber sensing equipment module and the signal sending module are in sending and receiving relation, the output end of the signal sending module is a signal processing module, the signal processing module receives signals from the signal sending module, the signal sending module and the signal processing module are in sending and receiving relation, the output end of the signal processing module is a database module, the database module receives signals from the signal processing module, the signal processing module and the database module are in sending and receiving relation, and the output end of the database module is a signal characteristic extracting module, the signal extraction characteristic module receives signals from the database module, the database module and the signal extraction characteristic module are in a sending and receiving relationship, the output end of the signal extraction characteristic module is an information comparison module, the information comparison module receives signals from the signal extraction characteristic module, the signal extraction characteristic module and the information comparison module are in a sending and receiving relationship, the output end of the information comparison module is an extract state module, the extract state module receives signals from the information comparison module, and the information comparison module and the extract state module are in a sending and receiving relationship.
Preferably, the information comparison module comprises a related keyword extraction module, a structure establishment module, a data measurement and modal analysis module and an analysis report generation module, the output end of the keyword extraction module is the structure establishment module, the structure establishment module receives a signal from the keyword extraction module, the keyword extraction module and the structure establishment module are in a sending and receiving relationship, the output end of the structure establishment module is used for performing data measurement, the data measurement is performed to receive the signal from the structure establishment module, the structure establishment module and the data measurement are in a sending and receiving relationship, the output end for performing data measurement is the modal analysis module, the modal analysis module receives the signal from the data measurement, the data measurement and modal analysis module is in a sending and receiving relationship, the output end of the modal analysis module is a generation analysis report, the generation analysis report receives signals from the modal analysis module, the modal analysis module and the generation analysis report are in a sending and receiving relation, and the information comparison module is electrically connected with the power switch.
Preferably, the composition of the extract state module comprises a section size module, a material elastic modulus module, a unit type module and a material thickness module, the extract state module is provided with four output ends, the four output ends of the extract state module are connected in parallel, the output end of one of the extract state modules is the section size module, the output end of one of the extract state modules is the material elastic modulus module, the output end of one of the extract state modules is the unit type module, the output end of one of the extract state modules is the material thickness module, and the extract state module is electrically connected with the power switch.
Preferably, the keyword extraction module is electrically connected with the power switch, an analysis extraction module is arranged inside the keyword extraction module, and the keyword extraction module needs to analyze data after extraction.
Preferably, the section size module, the material elastic modulus module, the unit type module and the material thickness module have certain influence on the damage increment, the damage increment cannot be directly expressed as an explicit function of the random variables at the moment, and the section size module, the material elastic modulus module, the unit type module and the material thickness module need to be combined by means of a response surface method and nonlinear finite element analysis to calculate the fatigue reliability of the cable member.
Preferably, the building structure module is provided by adopting a three-dimensional technology, the building structure module is electrically connected with the power switch, the building structure module is manufactured by means of computer synthesis, and the building structure module is a three-dimensional figure.
Preferably, the signal processing module receives information from the signal sending module, the signal processing module sends the received information to the inside of the database module, and the signal sending module and the database module are a receiving end and a sending end of information each other.
Preferably, the database module is a warehouse for organizing, storing and managing data according to a data structure, the database module data management is no longer just a way of storing and managing data but is converted into various data management required by a user, the database module is a core part of various information systems such as a management information system, an office automation system, a decision support system and the like, and the database module is an important technical means for scientific research and decision management.
Compared with the prior art, the invention provides a fatigue failure algorithm of a large tower crane cable, which has the following beneficial effects:
(1) the algorithm realizes the fusion of the influence of the section size, the material elastic modulus, the unit type and the thickness of the cable on the damage increment and the static loading condition, so that the real-time detection and observation of the fatigue can be timely and effectively carried out, the fatigue can be effectively controlled, and the occurrence of safety accidents is avoided;
(2) according to the method, the method is set, so that the method is compared with the existing specified value, the specified value is set for the threshold range of the upper limit or the lower limit of a certain parameter, the monitoring result of the current time is compared with the operation data of the cable in the past year, the comparison is called longitudinal ratio, the monitoring result of the same cable or the same type of cable is compared, the comparison is called transverse ratio, and therefore better detection can be achieved, and the problem that the phenomenon that the cable falls off due to overlarge fatigue can possibly occur due to the fact that the fatigue failure algorithm of the existing large tower crane cable cannot effectively detect the fatigue is solved.
Drawings
FIG. 1 is a schematic diagram of the workflow structure of the present invention;
FIG. 2 is a schematic structural diagram of an information comparison module according to the present invention;
FIG. 3 is a schematic diagram of the module structure of the extract status according to the present invention;
in the figure: 1. an optical fiber sensing device module; 2. a signal transmitting module; 3. a signal processing module; 4. a database module; 5. a signal feature extraction module; 6. an information comparison module; 61. a keyword extraction module; 62. building a structural module; 63. carrying out data measurement; 64. a modal analysis module; 65. generating an analysis report; 7. an extract status module; 71. a cross-sectional dimension module; 72. a material modulus of elasticity module; 73. a unit type module; 74. a material thickness module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution: a fatigue failure algorithm of a large tower crane cable comprises an optical fiber sensing equipment module 1 and a signal sending module 2, wherein the output end of the optical fiber sensing equipment module 1 is a signal sending module 2, the signal sending module 2 receives a signal from the optical fiber sensing equipment module 1, the optical fiber sensing equipment module 1 and the signal sending module 2 are in a sending and receiving relationship, the output end of the signal sending module 2 is a signal processing module 3, the signal processing module 3 receives information from the signal sending module 2, the signal processing module 3 sends the received information to the inside of a database module 4, so that the signal can be better processed, the signal sending module 2 and the database module 4 are mutually a receiving end and a sending end of the information, the signal processing module 3 receives the signal from the signal sending module 2, and the signal sending module 2 and the signal processing module 3 are in a sending and receiving relationship, the output end of the signal processing module 3 is a database module 4, the database module 4 is a warehouse for organizing, storing and managing data according to a data structure, the data management of the database module 4 is not only a mode for storing and managing data but also a mode for converting the data into various data management required by a user, the database module 4 is a core part of various information systems such as a management information system, an office automation system, a decision support system and the like, the database module 4 is an important technical means for scientific research and decision management, the database module 4 receives signals from the signal processing module 3, the signal processing module 3 and the database module 4 are in a sending and receiving relationship, the output end of the database module 4 is an extracted signal characteristic module 5, the extracted signal characteristic module 5 receives signals from the database module 4, the database module 4 and the extracted signal characteristic module 5 are in a sending and receiving relationship, the output end of the signal characteristic extraction module 5 is an information comparison module 6, the information comparison module 6 comprises a related key word extraction module 61, a structure establishment module 62, a data measurement 63, a modal analysis module 64 and an analysis report generation 65, the output end of the key word extraction module 61 is the structure establishment module 62, the structure establishment module 62 receives signals from the key word extraction module 61, the key word extraction module 61 is electrically connected with a power switch, the analysis extraction module is arranged in the key word extraction module 61, so that better extraction can be realized, data analysis is required after the extraction of the key word extraction module 61, the key word extraction module 61 and the structure establishment module 62 are in a sending and receiving relationship,
a fatigue failure algorithm of a large tower crane cable comprises a building structure module 62 provided by a three-D technology, the building structure module 62 is electrically connected with a power switch, the building structure module 62 is synthesized and manufactured by a computer, so that a model can be better built, the building structure module 62 is a three-dimensional graph, the output end of the building structure module 62 is used for carrying out data measurement 63, the carrying out data measurement 63 receives a signal from the building structure module 62, the building structure module 62 and the carrying out data measurement 63 are in a sending and receiving relation, the output end of the carrying out data measurement 63 is a modal analysis module 64, the modal analysis module 64 receives the signal from the carrying out data measurement 63, the carrying out data measurement 63 and the modal analysis module 64 are in a sending and receiving relation, the output end of the modal analysis module 64 is a composition analysis report 65, the generated analysis report 65 receives the signal from the modal analysis module 64, the modal analysis module 64 and the generated analysis report 65 are in a sending and receiving relationship, the information comparison module 6 is electrically connected with the power switch, the information comparison module 6 receives the signal from the signal feature extraction module 5, the signal feature extraction module 5 and the information comparison module 6 are in a sending and receiving relationship, the output end of the information comparison module 6 is the extract state module 7, the extract state module 7 comprises a section size module 71, a material elasticity modulus module 72, a unit type module 73 and a material thickness module 74, the extract state module 7 is provided with four output ends in total, the four output ends of the extract state module 7 are connected in parallel, one output end of the extract state module 7 is the section size module 71, the material thickness module 74, the extraction state module 7 is provided with four output ends, the four, The material elastic modulus module 72, the unit type module 73 and the material thickness module 74 have certain influence on the damage increment, the damage increment of the section size module 71, the material elastic modulus module 72, the unit type module 73 and the material thickness module 74 cannot be directly expressed as explicit functions of random variables at the moment, the fatigue reliability of the cable member is calculated by combining a response surface method and nonlinear finite element analysis through the section size module 71, the material elastic modulus module 72, the unit type module 73 and the material thickness module 74, the output end of one of the extract state modules 7 is the material elastic modulus module 72, the output end of one of the extract state modules 7 is the unit type module 73, the output end of one of the extract state modules 7 is the material thickness module 74, the extract state module 7 is electrically connected with a power switch, the extract state module 7 receives signals from the information comparison module 6, the information comparison module 6 and the extract status module 7 are in a sending and receiving relationship.
The working principle and the using process of the invention are as follows: when the algorithm is used, firstly, the signal is transmitted through the optical fiber sensing equipment module 1, then the signal is transmitted to the inside of the signal sending module 2, then the signal is transmitted to the inside of the signal processing module 3 through the signal sending module 2, then the signal is transmitted to the inside of the database module 4 through the signal processing module 3, the database module 4 is a warehouse for organizing, storing and managing data according to a data structure, the data management of the database module 4 is not only the mode for storing and managing data but also the mode for converting the data into various data management required by a user, meanwhile, the database module 4 is the core part of various information systems such as a management information system, an office automation system, a decision support system and the like, the algorithm is based on the diagnosis method of an artificial neural network, and then the method is transmitted to the inside of the signal characteristic extracting module 5, so that the extraction of the signal characteristics can be better carried out under the action of the signal characteristic extracting module 5, then the information contrast module 6 is used for comparing different data, and the information contrast module 6 adopts an artificial neural network as a novel information processing system which is close to the human brain structure in form, has strong parallel processing capability, distributed storage capability and self-adaptive learning capability, firstly, based on the probability density function of the damage increment obtained by parameter estimation and laboratory test, adopts a fatigue accumulation damage model, directly utilizes a first-order second-order moment method to solve the fatigue reliability index of an explicit extreme state equation, then considers the randomness of real constants such as the elastic modulus of the material, the section size of the component, the type of the unit and the like, considers the fatigue damage value as the function of the random variables, solves the implicit function of the damage increment, applies a nonlinear finite element analysis program to apply a standard fatigue vehicle to the structure, solving the stress amplitude of the component, calculating the damage increment, then utilizing a response surface method to calculate a response surface function of the component damage increment, finally utilizing a JC program and a Monte Carlo simulation to calculate the fatigue reliability index and the failure probability of the cable component, and researches find that the fatigue of the cable is influenced by random variables such as vehicle load, S-N curves, section sizes, real constants of units and the like, so that the fatigue reliability of the cable component can be analyzed from the aspects of probability and statistics, when in actual use, the influences of the section sizes, the elastic moduli of materials, the types and the thicknesses of the units on the damage increment are required to be considered, at the moment, the damage increment cannot be directly expressed as an explicit function of the random variables, the fatigue reliability of the cable component is required to be calculated by combining the response surface method and nonlinear finite element analysis and is compared with the existing specified value, the specified value is set for the upper limit or lower limit threshold range of a certain parameter, the monitoring result of the time is compared with the operating data of the cable in the past year, the comparison is called as longitudinal ratio, the monitoring result of the same cable or the same type of cable is compared, the comparison is called as transverse ratio, and therefore better detection can be achieved, and the system is used.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a fatigue failure algorithm of large-scale tower crane cable, includes optic fibre sensing equipment module (1) and signalling module (2), its characterized in that: the output end of the optical fiber sensing equipment module (1) is a signal sending module (2), the signal sending module (2) receives signals from the optical fiber sensing equipment module (1), the optical fiber sensing equipment module (1) and the signal sending module (2) are in a sending and receiving relationship, the output end of the signal sending module (2) is a signal processing module (3), the signal processing module (3) receives signals from the signal sending module (2), the signal sending module (2) and the signal processing module (3) are in a sending and receiving relationship, the output end of the signal processing module (3) is a database module (4), the database module (4) receives signals from the signal processing module (3), and the signal processing module (3) and the database module (4) are in a sending and receiving relationship, the output end of the database module (4) is a signal feature extraction module (5), the signal characteristic extracting module (5) receives signals from the database module (4), the database module (4) and the signal characteristic extracting module (5) are in the relation of sending and receiving, the output end of the signal characteristic extracting module (5) is an information comparison module (6), the information comparison module (6) receives the signal from the signal feature extraction module (5), the signal characteristic extracting module (5) and the information comparing module (6) are in the relation of sending and receiving, the output end of the information comparison module (6) is an extract state module (7), the extract status module (7) receives a signal from the information comparison module (6), the information comparison module (6) and the extract state module (7) are in a sending and receiving relationship.
2. The fatigue failure algorithm of the large tower crane cable according to claim 1, wherein: the information comparison module (6) comprises a related key word extraction module (61), a structure establishment module (62), a data measurement (63), a modal analysis module (64) and a generated analysis report (65), wherein the output end of the key word extraction module (61) is the structure establishment module (62), the structure establishment module (62) receives signals from the key word extraction module (61), the key word extraction module (61) and the structure establishment module (62) are in a sending and receiving relationship, the output end of the structure establishment module (62) is in a data measurement (63), the data measurement (63) receives signals from the structure establishment module (62), the structure establishment module (62) and the data measurement (63) are in a sending and receiving relationship, and the output end of the data measurement (63) is the modal analysis module (64), the device comprises a modal analysis module (64), a data measurement and modal analysis module (64), an output end of the modal analysis module (64) is a generation analysis report (65), the generation analysis report (65) receives signals from the modal analysis module (64), the modal analysis module (64) and the generation analysis report (65) are in a sending and receiving relationship, and an information comparison module (6) is electrically connected with a power switch.
3. The fatigue failure algorithm of the large tower crane cable according to claim 1, wherein: the composition of the extract state module (7) comprises a section size module (71), a material elastic modulus module (72), a unit type module (73) and a material thickness module (74), wherein the extract state module (7) is provided with four output ends, the four output ends of the extract state module (7) are connected in parallel, the output end of one of the extract state module (7) is the section size module (71), the output end of one of the extract state module (7) is the material elastic modulus module (72), the output end of one of the extract state module (7) is the unit type module (73), the output end of one of the extract state module (7) is the material thickness module (74), and the extract state module (7) is electrically connected with a power switch.
4. The fatigue failure algorithm of the large tower crane cable according to claim 2, wherein: the keyword extraction module (61) is electrically connected with the power switch, an analysis extraction module is arranged inside the keyword extraction module (61), and the keyword extraction module (61) needs to analyze data after extraction.
5. The fatigue failure algorithm of the large tower crane cable according to claim 3, wherein: the section size module (71), the material elastic modulus module (72), the unit type module (73) and the material thickness module (74) have certain influence on damage increment, the damage increment cannot be directly expressed as an explicit function of random variables at the moment by the section size module (71), the material elastic modulus module (72), the unit type module (73) and the material thickness module (74), and the fatigue reliability of the cable member is calculated by combining a response surface method and nonlinear finite element analysis through the section size module (71), the material elastic modulus module (72), the unit type module (73) and the material thickness module (74).
6. The fatigue failure algorithm of the large tower crane cable according to claim 2, wherein: the building structure module (62) is provided by adopting a three-dimensional (three-D) technology, the building structure module (62) is electrically connected with a power switch, the building structure module (62) is synthesized and manufactured by a computer, and the building structure module (62) is a three-dimensional figure.
7. The fatigue failure algorithm of the large tower crane cable according to claim 1, wherein: the signal processing module (3) receives information from the signal sending module (2), the signal processing module (3) sends the received information to the inside of the database module (4), and the signal sending module (2) and the database module (4) are mutually a receiving end and a sending end of the information.
8. The fatigue failure algorithm of the large tower crane cable according to claim 1, wherein: the database module (4) is a warehouse for organizing, storing and managing data according to a data structure, the data management of the database module (4) is not only a mode for storing and managing data but also a mode for converting the data management into various data management required by a user, the database module (4) is a core part of various information systems such as a management information system, an office automation system, a decision support system and the like, and the database module (4) is an important technical means for scientific research and decision management.
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| CN106957020A (en) * | 2017-05-11 | 2017-07-18 | 深圳市柘叶红实业有限公司 | Safety of tower crane management system and management method |
| CN108241761A (en) * | 2016-12-26 | 2018-07-03 | 北京金风科创风电设备有限公司 | Method and device for determining fatigue damage of generator component |
| CN109071188A (en) * | 2016-04-05 | 2018-12-21 | 利勃海尔比伯拉赫股份有限公司 | For the monitoring operation data during the use of elevator and/or the equipment for determining cable wear replacement status |
| US20190167246A1 (en) * | 2012-09-26 | 2019-06-06 | DePuy Synthes Products, Inc. | Nir/red light for lateral neuroprotection |
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- 2019-09-16 CN CN201910868733.XA patent/CN110619171A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US20190167246A1 (en) * | 2012-09-26 | 2019-06-06 | DePuy Synthes Products, Inc. | Nir/red light for lateral neuroprotection |
| CN109071188A (en) * | 2016-04-05 | 2018-12-21 | 利勃海尔比伯拉赫股份有限公司 | For the monitoring operation data during the use of elevator and/or the equipment for determining cable wear replacement status |
| CN108241761A (en) * | 2016-12-26 | 2018-07-03 | 北京金风科创风电设备有限公司 | Method and device for determining fatigue damage of generator component |
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Application publication date: 20191227 |