CN204493079U - The connecting bolt of Wind turbines loosens monitoring system - Google Patents
The connecting bolt of Wind turbines loosens monitoring system Download PDFInfo
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- CN204493079U CN204493079U CN201520096807.XU CN201520096807U CN204493079U CN 204493079 U CN204493079 U CN 204493079U CN 201520096807 U CN201520096807 U CN 201520096807U CN 204493079 U CN204493079 U CN 204493079U
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- Prior art keywords
- connecting bolt
- sensing means
- flange plate
- axial fan
- processing device
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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Abstract
The utility model provides a kind of connecting bolt of Wind turbines to loosen monitoring system.Native system comprises Wind turbines, sensing means, data processing device; Wind turbines comprises multiple fan blade, multiple axial fan hub and tower cylinder, and tower cylinder arranges multiple flange plate, and fan blade is connected with axial fan hub by connecting bolt, is interconnected between multiple flange plate by connecting bolt; Flange plate is provided with at least one sensing means, sensing means is electrically connected with data processing device, obtains the loosening data of the connecting bolt on flange plate to make data processing device according to the impedance change data of the sensing means on flange plate; Axial fan hub is provided with at least one sensing means, sensing means is electrically connected with data processing device, obtains the loosening data of the connecting bolt on axial fan hub to make data processing device according to the impedance change data of the sensing means on axial fan hub.The utility model can the loosening situation of on-line real time monitoring connecting bolt, ensures that Wind turbines normally runs.
Description
Technical field
The utility model relates to wind generating technology, and the connecting bolt particularly relating to a kind of Wind turbines loosens monitoring system.
Background technique
The basic principle of wind-power electricity generation is that the kinetic energy of wind converts mechanical energy to by the wind turbine of Wind turbines, then drives the electrical power generators of Wind turbines to convert electric energy to.
Because Wind turbines is under the interference of high wind torsion with itself vibrates during work, easily loosens phenomenon at the generation connecting bolt of the junction of the key position of Wind turbines, cause Wind turbines normally not run.Such as, the connecting bolt in tower cylinder junction occurs to loosen, and causes flange plate to be shaken and splits; Connecting bolt in the blade junction of wind turbine occurs to loosen, and causes leaf abscission.
In prior art, the main manual type that adopts regularly goes to scene to check Wind turbines, safeguard.But, because wind-power electricity generation requires that many places, residing ground are in remote region, staff can not check constantly, once the connecting bolt of Wind turbines in the junction of key position occurs to loosen, staff can not discover in the very first time again, cause checking efficiency low, also can affect the normal operation of Wind turbines, serious also can produce security incident.
Model utility content
The utility model embodiment provides a kind of connecting bolt of Wind turbines to loosen monitoring system, to overcome deficiency existing in prior art.
The utility model embodiment provides a kind of connecting bolt of Wind turbines to loosen monitoring system, comprising: Wind turbines, sensing means, data processing device;
Described Wind turbines comprises: multiple fan blade, multiple axial fan hub and tower cylinder, and described tower cylinder arranges multiple flange plate, and described fan blade is connected with described axial fan hub by connecting bolt, is interconnected between described multiple flange plate by described connecting bolt;
Described flange plate is provided with sensing means described at least one, described sensing means is electrically connected with described data processing device, obtains the loosening data of the connecting bolt on described flange plate to make described data processing device according to the impedance change data of the sensing means on described flange plate;
Described axial fan hub is provided with sensing means described at least one, described sensing means is electrically connected with described data processing device, obtains the loosening data of the connecting bolt on described axial fan hub to make described data processing device according to the impedance change data of the sensing means on described axial fan hub.
Further, the number of described axial fan hub is 3, described each axial fan hub is circumferentially evenly provided with described 4 sensing meanss.
Further, the number of described flange plate is 3, described each flange plate is circumferentially evenly provided with described 4 sensing meanss.
Further, 12 permanent magnets be arranged on described 3 axial fan hubs are also comprised; Described 4 permanent magnets are equidistantly adsorbed in the circumferential direction of described each axial fan hub.
Further, 12 permanent magnets be arranged on described 3 flange plate are also comprised; Described 4 permanent magnets are equidistantly adsorbed in the circumferential direction of described each flange plate.
Further, described sensing means is the piezoelectric ceramic sensor be embedded in described permanent magnet.
Further, also comprise: monitoring devices;
Described monitoring devices is electrically connected with described data processing device and master control computer room respectively, to report to described master control computer room when described loosening data exceed alarm threshold value.
Further, described monitoring devices also comprises: alarm, is electrically connected with described monitoring devices; Described alarm is voice guard or visual alarm.
The connecting bolt of the Wind turbines of the utility model embodiment loosens monitoring system, by in the fan blade of Wind turbines and the junction of axial fan hub, these key positions of junction between the flange plate of tower cylinder arrange sensing means, if the bolt of these key positions occurs to loosen, the micro-change of the structure partial of these key positions machinery form will be caused, the impedance of sensing means is changed.The impedance change data that data processing device collects these sensing meanss calculates the loosening data of corresponding connecting bolt, just can the loosening situation of on-line real time monitoring connecting bolt according to the loosening data of these connecting bolts, loosen situation if there is connecting bolt just can to perceive the very first time, ensure that the normal operation of Wind turbines, reduce the probability of happening of security incident.In addition, this monitoring system is little by the interference of the factor such as environment, load of wind turbine generator, effectively can monitor loosening of the connecting bolt of Wind turbines.
Accompanying drawing explanation
In order to be illustrated more clearly in the utility model embodiment or technological scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is embodiments more of the present utility model, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the structural drawing that the connecting bolt of the utility model Wind turbines loosens monitoring system embodiment one;
Fig. 2 is the structural drawing that the connecting bolt of the utility model Wind turbines loosens monitoring system embodiment two.
Embodiment
For making the object of the utility model embodiment, technological scheme and advantage clearly, below in conjunction with the accompanying drawing in the utility model embodiment, technological scheme in the utility model embodiment is clearly and completely described, obviously, described embodiment is the utility model part embodiment, instead of whole embodiments.Based on the embodiment in the utility model, those of ordinary skill in the art are not making the every other embodiment obtained under creative work prerequisite, all belong to the scope of the utility model protection.
Fig. 1 is the structural drawing that the connecting bolt of the utility model Wind turbines loosens monitoring system embodiment one, and as shown in Figure 1, the system of the present embodiment can comprise: Wind turbines 11, sensing means 12, data processing device 13;
Described Wind turbines 11 comprises: multiple fan blade 111, multiple axial fan hub 112 and tower cylinder 113, described tower cylinder 113 arranges multiple flange plate 114, described fan blade 111 is connected with described axial fan hub 112 by connecting bolt 115, is interconnected between described multiple flange plate 114 by described connecting bolt 115;
Described flange plate 114 is provided with sensing means 12 described at least one, described sensing means 12 is electrically connected with described data processing device 13, obtains the loosening data of the connecting bolt 115 on described flange plate 114 to make described data processing device 13 according to the impedance change data of the sensing means 12 on described flange plate 114;
Described axial fan hub 112 is provided with sensing means 12 described at least one, described sensing means 12 is electrically connected with described data processing device 13, obtains the loosening data of the connecting bolt 115 on described axial fan hub 112 to make described data processing device 13 according to the impedance change data of the sensing means 12 on described axial fan hub 112.
Here it should be noted that, the quantity of sensing means and position can according to the flange plate of Wind turbines, and the actual conditions of axial fan hub are arranged, and are not limited at this.
The connecting bolt of the Wind turbines of the present embodiment loosens monitoring system, by in the fan blade of Wind turbines and the junction of axial fan hub, these key positions of junction between the flange plate of tower cylinder arrange sensing means, if the bolt of these key positions occurs to loosen, the micro-change of the structure partial of these key positions machinery form will be caused, the impedance of sensing means is changed.The impedance change data that data processing device collects these sensing meanss calculates the loosening data of corresponding connecting bolt, just can the loosening situation of on-line real time monitoring connecting bolt according to the loosening data of these connecting bolts, loosen situation if there is connecting bolt just can to perceive the very first time, ensure that the normal operation of Wind turbines, reduce the probability of happening of security incident.In addition, this monitoring system is little by the interference of the factor such as environment, load of wind turbine generator, effectively can monitor loosening of the connecting bolt of Wind turbines.
Preferably, the system of the present embodiment can also comprise monitoring devices 14; Described monitoring devices 14 is electrically connected with described data processing device 13 and master control computer room 15 respectively, to report to described master control computer room 15 when described loosening data exceed alarm threshold value.
In addition, described monitoring devices 14 can also comprise alarm 141, is electrically connected with described monitoring devices 14; Described alarm 141 is voice guard or visual alarm.
Can report the loosening situation of the connecting bolt of current Wind turbines in real time to master control computer room by arranging monitoring devices, master control computer room is once discovery situation can control the working state of Wind turbines in time.Alarm can remind the connecting bolt of the current Wind turbines of staff to occur the situation that loosens by sound or light in time, does not need staff at every moment to monitor the loosening data situation of connecting bolt, improves working efficiency.
Adopt specific embodiment below, the technological scheme of above-described embodiment is described in detail.
Fig. 2 is the structural drawing that the connecting bolt of the utility model Wind turbines loosens monitoring system embodiment two.
As shown in Figure 2, on the basis of above-described embodiment, further, the number of described axial fan hub 112 is 3, and described each axial fan hub 112 is circumferentially evenly provided with described 4 sensing meanss 12.
The number of described flange plate 114 is 3, and described each flange plate 114 is circumferentially evenly provided with described 4 sensing meanss 12.
A sensing means 12 is arranged in a permanent magnet, and 12 permanent magnets (for illustrating in figure) are arranged on described 3 axial fan hubs 112.Wherein, described 4 permanent magnets are equidistantly adsorbed in the circumferential direction of described each axial fan hub 112.
12 permanent magnets are arranged on described 3 flange plate 114.Wherein, described 4 permanent magnets are equidistantly adsorbed in the circumferential direction of described each flange plate 114.
Concrete, described sensing means 12 is for being embedded in the piezoelectric ceramic sensor in described permanent magnet.
Described data processing device 12 can be specifically for:
Corresponding mechanical impedance delta data is obtained according to described impedance change data;
According to described mechanical impedance delta data, multi-layer feed-forward BP neural network algorithm is utilized to calculate described loosening data.
Described data processing device obtains corresponding mechanical impedance delta data according to described impedance change data and specifically comprises:
According to mechanical impedance piezoelectricity coupled wave equation
obtain corresponding mechanical impedance delta data;
Wherein, Z
efor the coupling resistance of described piezoelectric ceramic sensor resists, ω is the angular frequency of excitation pulse, w
afor the width of described piezoelectric ceramic sensor, l
afor the length of described piezoelectric ceramic sensor, h
afor the height of described piezoelectric ceramic sensor,
for the complex dielectric permittivity of described piezoelectric ceramic sensor when zero stress, δ is dielectric dissipation factor, Z
afor the mechanical impedance before the structural change of described piezoelectric ceramic sensor, Z is the mechanical impedance after the structural change of described piezoelectric ceramic sensor, d
31for the piezoelectric crystal of described piezoelectric ceramic sensor,
for the complex modulus of described piezoelectric ceramic sensor when zero electric field, η is the mechanical loss factor of described piezoelectric ceramic sensor;
As can be seen from mechanical impedance piezoelectricity coupled wave equation, the coupling resistance of piezoelectric ceramic sensor resists not only relevant, also relevant with the mechanical impedance after structural change with the mechanical impedance before the physical dimension of piezoelectric ceramic sensor, permittivity, piezoelectric crystal, Young's modulus, structural change, excitation pulse angular frequency.When other parameter constants, the change of the electrical impedance of piezoelectric ceramic sensor just can the mechanical impedance change of direct reaction structure.Therefore, when structure has minor variations, the change of the mechanical impedance of its structure just directly can be calculated by electrical impedance.
Described data processing device, according to described mechanical impedance delta data, utilizes multilayer feedforward (Backpropagation is called for short BP) neural network algorithm to calculate described loosening data and specifically comprise:
According to a
2=f
2(W
2f
1(W
1p+b
1)+b
2) obtain described loosening data;
Wherein, W
1, W
2for the weights of described multilayer feedforward neural network, b
1, b
2for the threshold values of described multilayer feedforward neural network, f
1, f
2for tangent bend function Log-Sigmoid Function, p is the input of described multilayer feedforward neural network, a
2for the output of described multilayer feedforward neural network.
Utilize the mechanical impedance after the structural change of Multi-layer BP Neural Network algorithm process piezoelectric ceramic sensor, every 4 piezoelectric ceramics are one group, build a two-layer BP neuron network.This BP neuron network has the input vector of 8 dimensions, hidden layer, output layer to form.8 dimension input vectors take from the mechanical impedance after structural change corresponding to 4 piezoelectric ceramic sensors.In order to avoid the BP neuron network built counts endless loop, arrange a maximum iteration time and calculate hidden neuron, output layer is made up of 4 neurons, represents one or more connecting bolt on four direction respectively.According to the Output rusults of BP neuron network, i.e. the loosening data of connecting bolt, judge that one or more connecting bolt on which direction loosens.
The present embodiment is by having 4 piezoelectric ceramic sensors at the circumferentially spaced set of each flange plate and each axial fan hub.The current electrical impedance that each piezoelectricity ceramics sensor gets utilizes mechanical impedance piezoelectricity coupled wave equation to calculate corresponding mechanical impedance by data processing device, and then mechanical impedance is utilized BP neural network algorithm to calculate the loosening data of corresponding connecting bolt.Because 4 piezoelectric ceramic sensors are set in qually spaced in flange plate, axial fan hub circumferentially, so the loosening data of connecting bolt corresponding to each piezoelectric ceramic sensor represent the loosening situation of one or more connecting bolt on the four direction of this flange plate, axial fan hub.Just can the loosening situation of on-line real time monitoring connecting bolt according to the loosening data of these connecting bolts, loosen situation if there is connecting bolt and just can perceive the very first time, ensure that the normal operation of Wind turbines, reduce the probability of happening of security incident.In addition, piezoelectric ceramic sensor can be good with the structure Coupling of the key position of Wind turbines, and BP neuron network has the parallel behavior of data, fast to the response of image data network, can realize the accurate judgement of the loosening data to connecting bolt.
Last it is noted that above each embodiment is only in order to illustrate the technical solution of the utility model, be not intended to limit; Although be described in detail the utility model with reference to foregoing embodiments, those of ordinary skill in the art is to be understood that: it still can be modified to the technological scheme described in foregoing embodiments, or carries out equivalent replacement to wherein some or all of technical characteristics; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the scope of each embodiment's technological scheme of the utility model.
Claims (8)
1. the connecting bolt of Wind turbines loosens a monitoring system, it is characterized in that, comprising: Wind turbines, sensing means, data processing device;
Described Wind turbines comprises: multiple fan blade, multiple axial fan hub and tower cylinder, and described tower cylinder arranges multiple flange plate, and described fan blade is connected with described axial fan hub by connecting bolt, is interconnected between described multiple flange plate by described connecting bolt;
Described flange plate is provided with sensing means described at least one, described sensing means is electrically connected with described data processing device, obtains the loosening data of the connecting bolt on described flange plate to make described data processing device according to the impedance change data of the sensing means on described flange plate;
Described axial fan hub is provided with sensing means described at least one, described sensing means is electrically connected with described data processing device, obtains the loosening data of the connecting bolt on described axial fan hub to make described data processing device according to the impedance change data of the sensing means on described axial fan hub.
2. system according to claim 1, is characterized in that, the number of described axial fan hub is 3, described each axial fan hub is circumferentially evenly provided with described 4 sensing meanss.
3. system according to claim 1, is characterized in that, the number of described flange plate is 3, described each flange plate is circumferentially evenly provided with described 4 sensing meanss.
4. system according to claim 2, is characterized in that, also comprises 12 permanent magnets be arranged on described 3 axial fan hubs; Described 4 permanent magnets are equidistantly adsorbed in the circumferential direction of described each axial fan hub.
5. system according to claim 3, is characterized in that, also comprises 12 permanent magnets be arranged on described 3 flange plate; Described 4 permanent magnets are equidistantly adsorbed in the circumferential direction of described each flange plate.
6. the system according to claim 4 or 5, is characterized in that, described sensing means is the piezoelectric ceramic sensor be embedded in described permanent magnet.
7. system according to claim 6, is characterized in that, also comprises: monitoring devices;
Described monitoring devices is electrically connected with described data processing device and master control computer room respectively, to report to described master control computer room when described loosening data exceed alarm threshold value.
8. system according to claim 7, is characterized in that, described monitoring devices also comprises: alarm, is electrically connected with described monitoring devices; Described alarm is voice guard or visual alarm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520096807.XU CN204493079U (en) | 2015-02-11 | 2015-02-11 | The connecting bolt of Wind turbines loosens monitoring system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520096807.XU CN204493079U (en) | 2015-02-11 | 2015-02-11 | The connecting bolt of Wind turbines loosens monitoring system |
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| Publication Number | Publication Date |
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| CN204493079U true CN204493079U (en) | 2015-07-22 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201520096807.XU Expired - Fee Related CN204493079U (en) | 2015-02-11 | 2015-02-11 | The connecting bolt of Wind turbines loosens monitoring system |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105986963A (en) * | 2015-02-11 | 2016-10-05 | 赤峰华源新力科技有限公司 | Connecting bolt looseness monitoring system for wind turbine generator unit |
| CN106704080A (en) * | 2017-01-04 | 2017-05-24 | 北京中元瑞讯科技有限公司 | Hydroelectric generating set thrust block looseness fault diagnosis method based on online data |
| CN106909733A (en) * | 2017-02-23 | 2017-06-30 | 长沙理工大学 | Health state monitoring method for high-strength bolt of key component of steel truss bridge |
| CN108759918A (en) * | 2018-05-30 | 2018-11-06 | 中国人民解放军国防科技大学 | Vibration-stress composite sensor for monitoring flange bolt of wind power tower |
| CN109269795A (en) * | 2018-11-15 | 2019-01-25 | 福建工程学院 | The detection device and its method of on-line checking generator bolt and nut elasticity |
| CN109578224A (en) * | 2019-01-31 | 2019-04-05 | 广东电网有限责任公司 | A kind of safety monitoring system of wind-power generating unit tower |
| CN110307126A (en) * | 2019-06-20 | 2019-10-08 | 南京华盾电力信息安全测评有限公司 | Wind-driven generator fault collection system and method |
| CN114427929A (en) * | 2022-01-25 | 2022-05-03 | 华中科技大学 | Alarm method and system for monitoring looseness of bolts of wind turbine tower and terminal of alarm method and system |
-
2015
- 2015-02-11 CN CN201520096807.XU patent/CN204493079U/en not_active Expired - Fee Related
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105986963A (en) * | 2015-02-11 | 2016-10-05 | 赤峰华源新力科技有限公司 | Connecting bolt looseness monitoring system for wind turbine generator unit |
| CN105986963B (en) * | 2015-02-11 | 2019-08-20 | 赤峰华源新力科技有限公司 | The connection bolt looseness of Wind turbines monitors system |
| CN106704080A (en) * | 2017-01-04 | 2017-05-24 | 北京中元瑞讯科技有限公司 | Hydroelectric generating set thrust block looseness fault diagnosis method based on online data |
| CN106909733A (en) * | 2017-02-23 | 2017-06-30 | 长沙理工大学 | Health state monitoring method for high-strength bolt of key component of steel truss bridge |
| CN108759918A (en) * | 2018-05-30 | 2018-11-06 | 中国人民解放军国防科技大学 | Vibration-stress composite sensor for monitoring flange bolt of wind power tower |
| CN108759918B (en) * | 2018-05-30 | 2020-10-23 | 中国人民解放军国防科技大学 | Vibration-stress composite sensor for monitoring flange bolt of wind power tower |
| CN109269795A (en) * | 2018-11-15 | 2019-01-25 | 福建工程学院 | The detection device and its method of on-line checking generator bolt and nut elasticity |
| CN109578224A (en) * | 2019-01-31 | 2019-04-05 | 广东电网有限责任公司 | A kind of safety monitoring system of wind-power generating unit tower |
| CN110307126A (en) * | 2019-06-20 | 2019-10-08 | 南京华盾电力信息安全测评有限公司 | Wind-driven generator fault collection system and method |
| CN114427929A (en) * | 2022-01-25 | 2022-05-03 | 华中科技大学 | Alarm method and system for monitoring looseness of bolts of wind turbine tower and terminal of alarm method and system |
| CN114427929B (en) * | 2022-01-25 | 2023-06-06 | 华中科技大学 | Alarm method, system and terminal for monitoring looseness of wind turbine tower bolt |
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Granted publication date: 20150722 Termination date: 20170211 |
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