CN202814565U - Temperature monitoring device of a fan gear box - Google Patents

Temperature monitoring device of a fan gear box Download PDF

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CN202814565U
CN202814565U CN201220429057.XU CN201220429057U CN202814565U CN 202814565 U CN202814565 U CN 202814565U CN 201220429057 U CN201220429057 U CN 201220429057U CN 202814565 U CN202814565 U CN 202814565U
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temperature
collection point
early warning
described collection
value
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李斌
张继
王杰
芮守娟
王佼
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Sinovel Wind Group Co Ltd
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Abstract

The utility model provides a temperature monitoring device of a fan gear box. The temperature monitoring device comprises a collection module for collecting the current temperature values on temperature collection points of the gear box and sending the current temperature values and marks of the temperature collection points to a main control module; the main control module for obtaining the temperature prediction change curve values corresponding to the marks of the temperature collection points according to the marks of the temperature collection points, and obtaining the corresponding early-warning temperature upper limit value and the early-warning temperature lower limit value, wherein, if the temperature prediction trend of the temperature collection points is determined to be the downward trend, the current temperature value of the collection point is smaller than the early-warning temperature lower limit value, or if the temperature prediction trend of the temperature collection points is determined to be the upward trend, the current temperature value of the collection point is larger than the early-warning temperature upper limit value, thus an early-warning trigger signal is sent to an early-warning module; the early-warning module for generating an early-warning information according to the early-warning trigger signal, thus an operation person can timely analyze and process the early-warning information. The analysis and treatment efficiency of the temperature warning problem of the gear box are improved.

Description

The gear case of blower device for monitoring temperature
Technical field
The utility model relates to wind generating technology, relates in particular to the gear case of blower device for monitoring temperature.
Background technology
Gear case is an important mechanical part in the wind power generating set, mainly be transmission of power that wind wheel is produced under the wind-force effect to generator, and make it obtain corresponding rotating speed.The service requirement reliability of gear case is high, and the maximum temperature of gear case should be above 80 ℃.Yet the gear case of existing wind power generating set is subjected to the impact of temperature changing factor, and the temperature in the gear case often surpasses prescribed limits, causes the gearbox fault rate very high.So the scheme that prior art has proposed monitoring gear the temperature inside the box and regulated cooling avoids fault to occur.
But, existing gear case temperature monitoring method adopts the temperature value of Real Time Monitoring gear case, when the temperature value of Real-time Collection surpasses the alarm temperature threshold value, send warning information and close blower fan, so that the staff analyzes and processes the temperature warning problem to the alarm scene.Because wind power generating set is positioned at remote districts, the staff often can not in time rush for the alarm scene, therefore, exists temperature warning case study and the low problem for the treatment of effeciency based on existing gear case temperature monitoring method.
The utility model content
The utility model provides a kind of gear case of blower device for monitoring temperature, can improve analysis and treatment effeciency to gear case temperature warning problem.
The utility model provides a kind of gear case of blower device for monitoring temperature, comprising:
Acquisition module is arranged at gear case temperature acquisition point, be used for to gather the current temperature value of gear case temperature acquisition point, the current temperature value of described collection point and described collection point is identified send to main control module, and described acquisition module is connected with described main control module;
Main control module, be arranged in the central control equipment, be used for according to described collection point sign, obtain the temperature prediction change curve value corresponding with described collection point sign and corresponding early warning temperature upper limit and early warning lowest temperature value, according to temperature prediction change curve value corresponding to described collection point sign the current temperature value of described collection point is carried out analyzing and processing, if determine that the temperature prediction trend of described collection point is downtrending, and the current temperature value of described collection point is less than described early warning lowest temperature value, perhaps the temperature prediction trend of described collection point is ascendant trend, and the current temperature value of described collection point is greater than described early warning temperature upper limit, then send the early warning trigger pip to warning module, described main control module is connected with described warning module;
Warning module, be arranged in the central control equipment, be used for according to described early warning trigger pip, generate early warning information, described early warning information comprises the current temperature value of described collection point, corresponding temperature prediction change curve value and the early warning temperature upper limit of correspondence and the temperature prediction trend of early warning lowest temperature value and described collection point of described collection point sign, so that the staff in time analyzes and processes described early warning information.
Described acquisition module, the concrete temperature information that is used for gathering gear case temperature acquisition point, the temperature information of described collection point comprises the temperature value of described collection point and corresponding acquisition time and described collection point sign, and the temperature information of described collection point is sent to main control module;
Described main control module specifically comprises:
Storage unit is used for the temperature value of the described collection point of acquisition module collection is saved in the database corresponding with described collection point sign according to the order of sequence according to the sequencing of described acquisition time;
Computing unit, be used for calling described acquisition module that the database corresponding with described collection point sign preserve at the temperature value of the described collection point of each described acquisition time collection, utilize the least square method supporting vector machine prediction algorithm, obtain the temperature prediction change curve value corresponding with described collection point sign and default corresponding early warning temperature upper limit and early warning lowest temperature value.
Described main control module specifically also comprises:
Display unit, the described temperature prediction change curve value and corresponding early warning temperature upper limit and the early warning lowest temperature value that are used for described computing unit is calculated show.
Described display unit, also the current temperature value for the described collection point that described acquisition module is sent shows;
Described main control module specifically also comprises:
Acquiring unit is used for identifying according to the described collection point that described acquisition module sends, and obtains the temperature prediction change curve value corresponding with described collection point sign and corresponding early warning temperature upper limit and early warning lowest temperature value from described computing unit;
Determining unit, be used for according to temperature prediction change curve value corresponding to described collection point sign the current temperature value of described collection point being carried out analyzing and processing, if determine that the temperature prediction trend of described collection point is downtrending, and the current temperature value of described collection point is less than described early warning lowest temperature value, perhaps the temperature prediction trend of described collection point is ascendant trend, and the current temperature value of described collection point then sends the early warning trigger pip to warning module greater than described early warning temperature upper limit.
Described acquisition module is temperature sensor, and described main control module is central processing unit.
The number of described acquisition module is at least four, lays respectively at the different acquisition point of same gear case, is used for gathering the temperature information of corresponding collection point.
Described collection point comprises the bearing temperature collection point of grease-box temperature acquisition point and the described gear case of the interior environment temperature collection point of the ambient temperature collection point of gear case, described gear case, described gear case.
The main control module of present embodiment identifies according to current temperature value and the collection point of the collection point that acquisition module sends, obtain the temperature prediction change curve value corresponding with described collection point sign and corresponding early warning temperature upper limit and early warning lowest temperature value, according to temperature prediction change curve value corresponding to described collection point sign the current temperature value of described collection point is carried out analyzing and processing, if determine that the temperature prediction trend of described collection point is downtrending, and the current temperature value of described collection point is less than described early warning lowest temperature value, perhaps the temperature prediction trend of described collection point is ascendant trend, and the current temperature value of described collection point is greater than described early warning temperature upper limit, then send the early warning trigger pip to warning module, so that warning module generates early warning information, thereby can realize the temperature changing trend according to the wind-driven generator group wheel box of prediction, in time make early warning, so that the staff in time analyzes and processes early warning information, for example according to the temperature of the timely regulating tooth roller box of temperature changing trend, improve analysis and treatment effeciency to gear case temperature warning problem, thereby also improved the efficient of gear case monitoring temperature.
Description of drawings
The structural representation of the gear case of blower device for monitoring temperature that Fig. 1 provides for the utility model one embodiment;
The structural representation of the gear case of blower device for monitoring temperature that Fig. 2 provides for another embodiment of the utility model;
Fig. 3 is the schematic flow sheet that application drawing 1 or gear case of blower device for monitoring temperature shown in Figure 2 are realized the gear case of blower temperature monitoring method;
Fig. 4 is the system architecture synoptic diagram that gear case of blower temperature monitoring method shown in Figure 3 is used.
Embodiment
The structural representation of the gear case of blower device for monitoring temperature that Fig. 1 provides for the utility model one embodiment as shown in Figure 1, specifically comprises: the acquisition module 11, main control module 12 and the warning module 13 that connect successively.
Acquisition module 11 is arranged at gear case temperature acquisition point, be used for to gather the current temperature value of gear case temperature acquisition point, the current temperature value of described collection point and described collection point is identified send to main control module 12;
Main control module 12, be arranged in the central control equipment, be used for according to described collection point sign, obtain the temperature prediction change curve value corresponding with described collection point sign and corresponding early warning temperature upper limit and early warning lowest temperature value, according to temperature prediction change curve value corresponding to described collection point sign the current temperature value of described collection point is carried out analyzing and processing, if determine that the temperature prediction trend of described collection point is downtrending, and the current temperature value of described collection point is less than described early warning lowest temperature value, perhaps the temperature prediction trend of described collection point is ascendant trend, and the current temperature value of described collection point is greater than described early warning temperature upper limit, then send the early warning trigger pip to warning module 13, described main control module is connected with described warning module;
Warning module 13, be arranged in the central control equipment, be used for according to described early warning trigger pip, generate early warning information, described early warning information comprises the current temperature value of described collection point, corresponding temperature prediction change curve value and the early warning temperature upper limit of correspondence and the temperature prediction trend of early warning lowest temperature value and described collection point of described collection point sign, so that the staff in time analyzes and processes described early warning information.
Need to prove that the function of acquisition module 11 can adopt temperature sensor to realize, the function of main control module 12 can adopt central processing unit to realize.
Need to prove, in actual applications, comprise a plurality of blower fans in the wind field, each blower fan comprises a gear case at least, four acquisition modules are installed in each gear case at least, respectively in order to gather the temperature value of each temperature acquisition point of gear case, be specially, an acquisition module is installed in outside the gear case in order to gather the outer ambient temperature value of gear case, an acquisition module is installed in the gear case in order to gather the ambient temperature value in the gear case, acquisition module is installed on the grease-box of gear case in order to gathering the lubricating oil temperature value of gear case, and acquisition module is installed on the bearing of gear case in order to gather the temperature value of box bearing.In order to identify each collection point of gear case, in the practical application, the sign of the temperature sensor that each collection point can be installed identifies as corresponding collection point.
The main control module of present embodiment identifies according to current temperature value and the collection point of the collection point that acquisition module sends, obtain the temperature prediction change curve value corresponding with described collection point sign and corresponding early warning temperature upper limit and early warning lowest temperature value, according to temperature prediction change curve value corresponding to described collection point sign the current temperature value of described collection point is carried out analyzing and processing, if determine that the temperature prediction trend of described collection point is downtrending, and the current temperature value of described collection point is less than described early warning lowest temperature value, perhaps the temperature prediction trend of described collection point is ascendant trend, and the current temperature value of described collection point is greater than described early warning temperature upper limit, then send the early warning trigger pip to warning module, so that warning module generates early warning information, thereby can realize the temperature changing trend according to the wind-driven generator group wheel box of prediction, in time make early warning, so that the staff in time analyzes and processes early warning information, for example according to the temperature of the timely regulating tooth roller box of temperature changing trend, improve analysis and treatment effeciency to gear case temperature warning problem, thereby also improved the efficient of gear case monitoring temperature.
The structural representation of the gear case of blower device for monitoring temperature that Fig. 2 provides for another embodiment of the utility model, further expanding on basis embodiment illustrated in fig. 2, as shown in Figure 2, in an optional embodiment of the present utility model, acquisition module 11, also be used for gathering the temperature information of gear case temperature acquisition point, the temperature information of described collection point comprises the temperature value of described collection point and corresponding acquisition time and described collection point sign, and the temperature information of described collection point is sent to main control module;
Need to prove that required according to the practical application of wind power generating set, acquisition module 11 can periodically gather the temperature information of corresponding temperature collection point, and the temperature information that gathers is sent to main control module.
In an optional embodiment of the present utility model, as shown in Figure 2, main control module 12 specifically comprises:
Storage unit 121 is used for the temperature value of the described collection point of acquisition module collection is saved in the database corresponding with described collection point sign according to the order of sequence according to the sequencing of described acquisition time;
Computing unit 122, be used for calling described acquisition module that the database corresponding with described collection point sign preserve at the temperature value of the described collection point of each described acquisition time collection, utilize the least square method supporting vector machine prediction algorithm, obtain the temperature prediction change curve value corresponding with described collection point sign and default corresponding early warning temperature upper limit and early warning lowest temperature value.
Need to prove that concrete early warning temperature upper limit and early warning lowest temperature value can be determined according to nameplate (temperature range during normal operation) and the wind field environment of gear case.Normal working temperature scope such as the normal temperature type set gear box is-20 ℃ ~ 80 ℃, and the gear case normal working temperature scope of low form unit is-40 ℃ ~ 60 ℃.
Below the principle of least square method supporting vector machine prediction algorithm that present embodiment is used be described in detail:
In order to accelerate sample training speed and speed of convergence, improve precision of prediction, in an optional embodiment of the present utility model, the temperature value of the collection point of preserving in the database corresponding with described collection point sign is carried out pre-service, can adopt the data normalization pre-service during specific implementation, namely
Figure BDA00002059973100061
Figure BDA00002059973100062
Be the temperature value after the normalization, x Max, x MinBe respectively maximal value and the minimum value of temperature value.
With pretreated temperature value, training sample as the least square method supporting vector machine prediction algorithm, need to prove, the least square method supporting vector machine prediction algorithm is to change the inequality constrain in traditional support vector machine into equality constraint, with the experience loss of error sum of squares loss function as training set, so just be converted into the system of linear equations problem of finding the solution separating quadratic programming problem, thereby improve speed and the convergence precision of Solve problems.
The least square method supporting vector machine prediction algorithm is as follows, supposes that training sample set is:
(x i,y i),i=1,2,...n,x∈R d,y∈R；
Wherein, R is real number field.D is the dimension in R space.x iBe temperature value, y iBe the acquisition time of correspondence, i is certain any label that training sample is concentrated.
Introduce decision function
Figure BDA00002059973100063
With training sample sequence transformation to a higher dimensional space, wherein, decision function is the linear optimum regression function of the structure of least square method supporting vector machine principle acquiescence.
During specific implementation, adopt to minimize the structure risk function:
R = 1 2 · | | w | | 2 + c Σ i = 1 n ξ i 2 R = 1 2 · | | w | | 2 + c Σ i = 1 n ξ i 2 ;
In higher dimensional space, ask the optimal classification face.
Need to prove, above-mentionedly minimize the constraint condition that the structure risk function need satisfy and comprise:
Corresponding Lagrangian function is:
Figure BDA00002059973100066
Wherein, Lagrangian function refers to minimal structure risk function and constraint condition are write on an equation the inside, to w, and b, ξ, respectively differentiate of a, w, b, ξ, a parameter can be asked for by Lagrangian function;
A=[a 1, a 2..a n] be Lagrange multiplier; W, b are model parameter, can differentiate by Lagrangian function, make that derivative is zero, thereby obtain the parameter value of w, b; C is regularization parameter, is default value, can be different because of model, and ξ is training sample set predicated error vector.
Can get according to optimal conditions:
Figure BDA00002059973100071
W in the cancellation following formula and ξ can obtain:
0 I T 1 ZZ T + γ T I b a = 0 y
In the formula:
Figure BDA00002059973100073
y＝[y 1,y 2...y t] T；a=[a 1,a 2...a t] T。ZZ TBe a j * j square formation, m is capable, and the n column element is
Figure BDA00002059973100074
Kernel function commonly used has polynomial kernel function, linear kernel function, radial basis kernel function, experimental results show that wherein the radial basis kernel function compares other kernel function and not only have less parameter and can also realize Nonlinear Mapping.Therefore this paper selects radial basis function (radial basis function, RBF):
K(x i,x j)=exp(-||x i-x j||/(2σ 2))
Figure BDA00002059973100075
The f (x) that obtains according to the final decision function of determining is the temperature prediction change curve value that present embodiment obtains.
In an optional embodiment of the present utility model, main control module 12 specifically also comprises:
Display unit 123, the described temperature prediction change curve value and corresponding early warning temperature upper limit and the early warning lowest temperature value that are used for described computing unit is calculated show.
In an optional embodiment of the present utility model, display unit 123, also the current temperature value for the described collection point that described acquisition module is sent shows;
In an optional embodiment of the present utility model, main control module 12 specifically also comprises:
Acquiring unit 124 is used for identifying according to the described collection point that described acquisition module sends, and obtains the temperature prediction change curve value corresponding with described collection point sign and corresponding early warning temperature upper limit and early warning lowest temperature value from described computing unit;
Determining unit 125, be used for according to temperature prediction change curve value corresponding to described collection point sign the current temperature value of described collection point being carried out analyzing and processing, if determine that the temperature prediction trend of described collection point is downtrending, and the current temperature value of described collection point is less than described early warning lowest temperature value, perhaps the temperature prediction trend of described collection point is ascendant trend, and the current temperature value of described collection point then sends the early warning trigger pip to warning module greater than described early warning temperature upper limit.
The main control module of present embodiment carries out pre-service by the temperature information of each collection point that acquisition module is sent, namely successively the temperature value of each collection point is saved in the database corresponding with each collection point sign according to acquisition time, and utilize the least square method supporting vector machine prediction algorithm, obtain respectively the temperature prediction change curve value corresponding with each collection point sign and corresponding early warning temperature upper limit and early warning lowest temperature value, thereby can be so that the current temperature value of each collection point that main control module gathers according to acquisition module, and according to the temperature changing trend of the wind-driven generator group wheel box of prediction corresponding to each collection point, in time make early warning, so that the staff in time analyzes and processes early warning information, for example according to the temperature of the timely regulating tooth roller box of temperature changing trend, improve analysis and treatment effeciency to gear case temperature warning problem, thereby also improved the efficient of gear case monitoring temperature.
Fig. 3 is the schematic flow sheet that application drawing 1 or gear case of blower device for monitoring temperature shown in Figure 2 are realized the gear case of blower temperature monitoring method, Fig. 4 is the system architecture synoptic diagram that gear case of blower temperature monitoring method shown in Figure 3 is used, as shown in Figure 3, the gear case of blower temperature monitoring method specifically comprises:
Step 301, acquisition module gather the current temperature value of gear case temperature acquisition point, the current temperature value of described collection point and described collection point are identified send to main control module;
Need to prove, as shown in Figure 4, in actual applications, comprise a plurality of blower fans in the wind field, each blower fan comprises a gear case at least, four acquisition modules are installed in each gear case at least, acquisition module can adopt temperature sensor to realize, respectively in order to gather the temperature value of each temperature acquisition point of gear case, be specially, it is outer in order to gather the outer ambient temperature value of gear case that temperature sensor 1 is installed in gear case, temperature sensor 2 is installed in the gear case in order to gather the ambient temperature value in the gear case, temperature sensor 3 is installed on the grease-box of gear case in order to gathering the lubricating oil temperature value of gear case, and temperature sensor 4 is installed on the bearing of gear case in order to gather the temperature value of box bearing.In order to identify each collection point of gear case, in the practical application, the sign of the temperature sensor that each collection point can be installed identifies as corresponding collection point.
Step 302, main control module identifies according to described collection point, obtain the temperature prediction change curve value corresponding with described collection point sign and corresponding early warning temperature upper limit and early warning lowest temperature value, according to temperature prediction change curve value corresponding to described collection point sign the current temperature value of described collection point is carried out analyzing and processing, if determine that the temperature prediction trend of described collection point is downtrending, and the current temperature value of described collection point is less than described early warning lowest temperature value, perhaps the temperature prediction trend of described collection point is ascendant trend, and the current temperature value of described collection point then sends the early warning trigger pip to warning module greater than described early warning temperature upper limit.
Main control module can adopt central processing unit to realize, concrete description with reference to middle related content embodiment illustrated in fig. 2 repeats no more.
Step 303, warning module are according to described early warning trigger pip, generate early warning information, described early warning information comprises the current temperature value of described collection point, corresponding temperature prediction change curve value and the early warning temperature upper limit of correspondence and the temperature prediction trend of early warning lowest temperature value and described collection point of described collection point sign, so that the staff in time analyzes and processes described early warning information.
The described method of present embodiment specifically can realize the function of Fig. 1 or described device embodiment illustrated in fig. 2, and it realizes that principle and technique effect repeat no more.
It should be noted that at last: above embodiment only in order to the technical solution of the utility model to be described, is not intended to limit; Although with reference to previous embodiment the utility model is had been described in detail, those of ordinary skill in the art is to be understood that: it still can be made amendment to the technical scheme that aforementioned each embodiment puts down in writing, and perhaps part technical characterictic wherein is equal to replacement; And these modifications or replacement do not make the essence of appropriate technical solution break away from the spirit and scope of each embodiment technical scheme of the utility model.

Claims (7)

1. a gear case of blower device for monitoring temperature is characterized in that, comprising:
Acquisition module is arranged at gear case temperature acquisition point, be used for to gather the current temperature value of gear case temperature acquisition point, the current temperature value of described collection point and described collection point is identified send to main control module, and described acquisition module is connected with described main control module;
Main control module, be arranged in the central control equipment, be used for according to described collection point sign, obtain the temperature prediction change curve value corresponding with described collection point sign and corresponding early warning temperature upper limit and early warning lowest temperature value, according to temperature prediction change curve value corresponding to described collection point sign the current temperature value of described collection point is carried out analyzing and processing, if determine that the temperature prediction trend of described collection point is downtrending, and the current temperature value of described collection point is less than described early warning lowest temperature value, perhaps the temperature prediction trend of described collection point is ascendant trend, and the current temperature value of described collection point is greater than described early warning temperature upper limit, then send the early warning trigger pip to warning module, described main control module is connected with described warning module;
Warning module, be arranged in the central control equipment, be used for according to described early warning trigger pip, generate early warning information, described early warning information comprises the current temperature value of described collection point, corresponding temperature prediction change curve value and the early warning temperature upper limit of correspondence and the temperature prediction trend of early warning lowest temperature value and described collection point of described collection point sign, so that the staff in time analyzes and processes described early warning information.
2. device according to claim 1, it is characterized in that, described acquisition module, the concrete temperature information that is used for gathering gear case temperature acquisition point, the temperature information of described collection point comprises the temperature value of described collection point and corresponding acquisition time and described collection point sign, and the temperature information of described collection point is sent to main control module;
Described main control module specifically comprises:
Storage unit is used for the temperature value of the described collection point of acquisition module collection is saved in the database corresponding with described collection point sign according to the order of sequence according to the sequencing of described acquisition time;
Computing unit, be used for calling described acquisition module that the database corresponding with described collection point sign preserve at the temperature value of the described collection point of each described acquisition time collection, utilize the least square method supporting vector machine prediction algorithm, obtain the temperature prediction change curve value corresponding with described collection point sign and default corresponding early warning temperature upper limit and early warning lowest temperature value.
3. device according to claim 2 is characterized in that, described main control module specifically also comprises:
Display unit, the described temperature prediction change curve value and corresponding early warning temperature upper limit and the early warning lowest temperature value that are used for described computing unit is calculated show.
4. device according to claim 3 is characterized in that, described display unit, and also the current temperature value for the described collection point that described acquisition module is sent shows;
Described main control module specifically also comprises:
Acquiring unit is used for identifying according to the described collection point that described acquisition module sends, and obtains the temperature prediction change curve value corresponding with described collection point sign and corresponding early warning temperature upper limit and early warning lowest temperature value from described computing unit;
Determining unit, be used for according to temperature prediction change curve value corresponding to described collection point sign the current temperature value of described collection point being carried out analyzing and processing, if determine that the temperature prediction trend of described collection point is downtrending, and the current temperature value of described collection point is less than described early warning lowest temperature value, perhaps the temperature prediction trend of described collection point is ascendant trend, and the current temperature value of described collection point then sends the early warning trigger pip to warning module greater than described early warning temperature upper limit.
5. device according to claim 1 is characterized in that, described acquisition module is temperature sensor, and described main control module is central processing unit.
6. each described device is characterized in that according to claim 1-5, and the number of described acquisition module is at least four, lays respectively at the different acquisition point of same gear case, is used for gathering the temperature information of corresponding collection point.
7. device according to claim 6, it is characterized in that described collection point comprises the bearing temperature collection point of grease-box temperature acquisition point and the described gear case of the interior environment temperature collection point of the ambient temperature collection point of gear case, described gear case, described gear case.
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CN106595895A (en) * 2016-12-29 2017-04-26 徐工集团工程机械有限公司 Crawler track roller temperature monitoring method, apparatus and system
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