CN105631765A - Unmanned aerial vehicle scheduling method, device and system based on wind turbine generator system - Google Patents
Unmanned aerial vehicle scheduling method, device and system based on wind turbine generator system Download PDFInfo
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Abstract
The embodiment of the invention provides an unmanned aerial vehicle scheduling method, a device and a system based on a wind turbine generator system. The method comprises steps of periodically acquiring power related parameters of a wind turbine generator system; and according to the parameters, determining whether to start an unmanned aerial vehicle to carry out wind turbine generator detection. According to the embodiment of the invention, based on the obtained power relevant parameters, whether to start unmanned aerial vehicle to carry out wind turbine generator detection is determined, so detection of the unmanned aerial vehicle is quite targeted and precise; and starting of the unmanned aerial vehicle is spontaneous without manual control, so manpower and material resources are saved.
Description
Technical field
The present invention relates to technical field of wind power, particularly relate to a kind of based on the unmanned plane dispatching method of Wind turbines power, Apparatus and system.
Background technology
In wind power industry, the exposing part loss and can cause that the power of Wind turbines reduces of Wind turbines in wind power plant, but only the power of clear and definite Wind turbines reduces reason, determine the running status of wearing terrain, the degree of wear, after the aggregation of data analysis gathered during to power loss data and monitoring, just can provide power ascension suggestion accurately, if the work exposing part abrasion condition of detection Wind turbines is by manually doing, can waste time and energy.
In prior art; in wind energy turbine set, operation maintenance personnel would generally utilize unmanned plane each Wind turbines in wind energy turbine set to detect, and unmanned plane is provided with the process equipment of the collecting device of Voice & Video, sound and image, signal projector and signal receiver etc. Although using unmanned plane that the Wind turbines in wind energy turbine set is detected can save manpower, but using unmanned plane targetedly not detect each typhoon group of motors, not only wasting the energy of unmanned plane but also waste the time.
Summary of the invention
It is an object of the invention to, it is provided that a kind of based on the unmanned plane dispatching method of Wind turbines power, Apparatus and system, to solve prior art uses blindness during unmanned plane detection Wind turbines.
According to an aspect of the present invention, it is provided that a kind of unmanned plane dispatching method based on Wind turbines power, including: periodically obtain the power-related parameter of Wind turbines; Determine whether that starting unmanned plane carries out Wind turbines detection according to described parameter.
Further, described according to described parameter determine whether start unmanned plane carry out Wind turbines detection include: the corresponding relation according to described parameter Yu the power of Wind turbines, calculate described power, and the difference according to the actual power of each Wind turbines with the theoretical power (horse-power) under identical wind speed, it is determined whether start unmanned plane and carry out Wind turbines detection.
Further, described according to described parameter determine whether start unmanned plane carry out Wind turbines detection include: the corresponding relation according to described parameter Yu the power of Wind turbines, calculate described power; According to:Calculate the power attenuation R of all Wind turbines in each periodic wind electric field; According toCalculate the power attenuation r of each Wind turbines in each periodic wind electric fieldi; Wherein, pi,real��pi,theoryThe respectively actual power of the i-th typhoon group of motors and the theoretical power (horse-power) under identical wind speed in wind energy turbine set; If in same period in described wind energy turbine set the power attenuation R of all Wind turbines more than the power attenuation r of Wind turbines in the first predetermined value and/or wind energy turbine setiMore than the number of units of Wind turbines of the second predetermined value more than the 3rd threshold value, it is determined that start unmanned plane and carry out Wind turbines detection.
Further, described determine that starting unmanned plane carries out Wind turbines detection and comprise determining that starting unmanned plane carries out the position of the target Wind turbines position of Wind turbines detection, course line, detection, the monitoring time of staying and/or data acquisition modes.
Further, described method also includes: the data gathered when described unmanned plane is performed detection are analyzed, and generates power ascension strategy according to analyzing result.
Further, the data that described unmanned plane gathers when performing detection include view data and/or voice data; The described data performing described unmanned plane to gather when detecting are analyzed, and generate power ascension strategy include according to analyzing result: view data and/or voice data when the view data gathered when described unmanned plane is performed detection and/or the same position place of voice data and the Wind turbines prestored break down compare, determine whether the corresponding position of Wind turbines breaks down, and using the operation that improves fault as described power ascension strategy.
Further, described method also includes: the difference according to the actual power of each Wind turbines with the theoretical power (horse-power) under identical wind speed, generates power ascension strategy.
Further, described method also includes: according to the power attenuation R of all Wind turbines in each periodic wind electric field, generates power ascension strategy.
According to a further aspect of the invention, also providing for a kind of unmanned plane dispatching device based on Wind turbines power, described device includes: power-related parameter acquisition module, for periodically obtaining the power-related parameter of Wind turbines; According to described parameter, unmanned aerial vehicle (UAV) control module, for determining whether that starting unmanned plane carries out Wind turbines detection.
Further, described unmanned aerial vehicle (UAV) control module includes: the first unmanned aerial vehicle (UAV) control unit, for the corresponding relation according to described parameter Yu the power of Wind turbines, calculate described power, and the difference according to the actual power of each Wind turbines with the theoretical power (horse-power) under identical wind speed, it is determined whether start unmanned plane and carry out Wind turbines detection.
Further, described unmanned aerial vehicle (UAV) control module also includes: the second unmanned aerial vehicle (UAV) control unit, for the corresponding relation according to described parameter Yu the power of Wind turbines, calculates described power; According to:Calculate the power attenuation R of all Wind turbines in each periodic wind electric field; According toCalculate the power attenuation r of each Wind turbines in each periodic wind electric fieldi; Wherein, pi,real��pi,theoryThe respectively actual power of the i-th typhoon group of motors and the theoretical power (horse-power) under identical wind speed in wind energy turbine set; If in same period in described wind energy turbine set the power attenuation R of all Wind turbines more than the power attenuation r of Wind turbines in the first predetermined value and/or wind energy turbine setiMore than the number of units of Wind turbines of the second predetermined value more than the 3rd threshold value, it is determined that start unmanned plane and carry out Wind turbines detection.
Further, described unmanned aerial vehicle (UAV) control module also includes: data acquisition modes generates unit, for determining that starting unmanned plane carries out the position of the target Wind turbines position of Wind turbines detection, course line, detection, the monitoring time of staying and/or data acquisition modes.
Further, described device also includes: the first power ascension policy generation module, and the data gathered during for described unmanned plane is performed detection are analyzed, and generates power ascension strategy according to analyzing result.
Further, the data that described unmanned plane gathers when performing detection include view data and/or voice data; Described first power ascension policy generation module specifically for, view data and/or voice data when the view data gathered when described unmanned plane is performed detection and/or the same position place of voice data and the Wind turbines prestored break down compare, determine whether the corresponding position of Wind turbines breaks down, and using the operation that improves fault as described power ascension strategy.
Further, described device also includes: the second power ascension policy generation module, for the difference of the actual power according to each Wind turbines with the theoretical power (horse-power) under identical wind speed, generates power ascension strategy.
Further, described device also includes: the 3rd power ascension policy generation module, for according to the power attenuation R of all Wind turbines in each periodic wind electric field, generating power ascension strategy.
According to a further aspect in the invention, also provide for a kind of unmanned plane dispatching patcher based on Wind turbines power, including: at least one frame unmanned plane, and the foregoing unmanned plane dispatching device based on Wind turbines power that unmanned plane is controlled.
Provided by the invention based on the unmanned plane dispatching method of Wind turbines power, Apparatus and system, according to the power-related parameter collected, determine whether that starting unmanned plane carries out Wind turbines detection, make detection more targeted and the accuracy of unmanned plane, and the startup of unmanned plane is idiopathic, without Artificial Control, save man power and material.
Accompanying drawing explanation
Fig. 1 is the flow chart of one embodiment of unmanned plane dispatching method based on Wind turbines power provided by the invention;
Fig. 2 is the flow chart of unmanned plane another embodiment of dispatching method based on Wind turbines power provided by the invention;
Fig. 3 is the power curve scatterplot of Wind turbines in the present invention;
Fig. 4 is the power curve box traction substation of Wind turbines in the present invention;
Fig. 5 is the power factor scatterplot of Wind turbines in the present invention;
Fig. 6 is the rotating speed of Wind turbines-moment of torsion scatterplot in the present invention;
Fig. 7 is the structural representation illustrating one embodiment of unmanned plane dispatching device based on Wind turbines power provided by the invention;
Fig. 8 is the structural representation illustrating unmanned plane another embodiment of dispatching device based on Wind turbines power provided by the invention.
Description of reference numerals: 710-power-related parameter acquisition module; 720-unmanned aerial vehicle (UAV) control module; 721-the first unmanned aerial vehicle (UAV) control unit; 722-the second unmanned aerial vehicle (UAV) control unit; 723-data acquisition modes generates unit; 730-the first power ascension policy generation module; 740-the second power ascension policy generation module; 750-the 3rd power ascension policy generation module.
Detailed description of the invention
Below in conjunction with accompanying drawing, the exemplary embodiment of the present invention is described in detail based on the unmanned plane dispatching method of Wind turbines power, Apparatus and system.
Embodiment one
Fig. 1 is the flow chart of one embodiment of unmanned plane dispatching method based on Wind turbines power provided by the invention, and the executive agent of the method can be the controller being arranged in wind energy turbine set, the central monitor in wind energy turbine set booster stations. As it is shown in figure 1, the method comprises the steps:
S110, periodically obtains the power-related parameter of Wind turbines.
Concrete, above-mentioned power-related parameter includes wind speed, moment of torsion, yaw angle, propeller pitch angle and generator speed etc. and Wind turbines power the parameter of certain relation. Such as, for wind speed, in certain wind speed range (now Wind turbines is not up to rated power), wind speed is more big, and Wind turbines power is more big; For propeller pitch angle, under different wind speed, there is some propeller pitch angle and make now Wind turbines reach peak power.
In order to wind energy turbine set being carried out real-time monitoring to ensure that wind energy turbine set is run normally, it is necessary to the power-related parameter of Wind turbines each in wind energy turbine set is periodically gathered.
When gathering data, owing to the power-related parameter in each moment is not quite similar, it will be assumed that within a cycle (such as 10 seconds), the power-related parameter of Wind turbines is constant. Preferably, can according in the cycle (10 seconds), the data selecting power-related parameter value occurrence number maximum are acquired, it is also possible to the size of selection power-related parameter value data between maximum and minimum are acquired.
According to parameter, S120, determines whether that starting unmanned plane carries out Wind turbines detection.
Specifically, can contrasting according to the parameter that the parameter collected is normally corresponding with Wind turbines, if the gap of the two is excessive, then the current abnormal parameters gathered is described, Wind turbines is in abnormality, then need to start unmanned plane and carry out the detection of Wind turbines.
Such as, to some threshold range of normal parameter setting (such as 80%), if parameter exceedes outside this threshold range, then this abnormal parameters can be shown; If parameter is in this threshold range, illustrate that parameter is normal.
In the present embodiment, unmanned plane is when carrying out Wind turbines detection, available carry sound, video collecting device Wind turbines is taken pictures, image and records, and photo and sound are processed by the process equipment according to sound and image, it is judged that the running status of wearing terrain, the degree of wear.
The unmanned plane dispatching method based on Wind turbines power that the embodiment of the present invention provides, according to the power-related parameter collected, determine whether that starting unmanned plane carries out Wind turbines detection, make detection more targeted and the accuracy of unmanned plane, and the startup of unmanned plane is idiopathic, without Artificial Control, save man power and material.
Embodiment two
Fig. 2 is the flow chart of unmanned plane another embodiment of dispatching method based on Wind turbines power provided by the invention, and it can be considered a kind of specific implementation of Fig. 1. As in figure 2 it is shown, the method comprises the steps:
S210, periodically obtains the power-related parameter of Wind turbines.
Such as, can pass through to gather the generator speed of each Wind turbines, moment of torsion and power factor and calculate actual power, the data distribution situation of at least one width figure in rotating speed-moment of torsion scatterplot that in each cycle that the actual power according to each Wind turbines is drawn, the power curve scatterplot of each Wind turbines, power curve box traction substation, power factor scatterplot and generator speed and moment of torsion according to each Wind turbines gathered are drawn, extracted valid data point, and using actual power corresponding for significant figure strong point as effective actual power.
Fig. 3 is the output power curve scatterplot of Wind turbines in the present invention, as shown in the figure, abscissa represents that wind speed, vertical coordinate represent power, the real output data of the Wind turbines that the data point in figure is in the multiple cycles collected, within each cycle, wind speed is different, corresponding different outputs, the curve table in figure is shown as the actual output according to data statistics matching, and the point near curve can be used as significant figure strong point.
Fig. 4 is the power curve box traction substation of Wind turbines in the present invention, as it can be seen, it is similar to Fig. 3, is distinctive in that the data point box traction substation collected represents, namely the point represented in " chest " (square) in figure is chosen as valid data point.
Fig. 5 is the power factor scatterplot of Wind turbines in the present invention, as shown in the figure, abscissa represents wind speed, vertical coordinate represents power factor, namely the actual power factor of Wind turbines changes with the change of wind speed, and the actual power that in figure, the power factor in the place that data point is intensive is corresponding is chosen as significant figure strong point.
Fig. 6 is the rotating speed of Wind turbines-moment of torsion scatterplot in the present invention, as shown in the figure, abscissa represents generator speed, and vertical coordinate represents moment of torsion, when electromotor starts to start, owing to power is not reaching to saturated, generator speed and moment of torsion all increase continuing, and when power reaches capacity, generator speed is kept approximately constant, and moment of torsion adds a certain group of data and shakes back and forth, the actual power that in figure, the data in the place that data point is intensive are corresponding is chosen as significant figure strong point.
After S210, the method performs the method step of above-mentioned S120. In the present embodiment, S120 can be divided into the implementation that S220 and S230 is two kinds different.
S220, the corresponding relation according to parameter Yu the power of Wind turbines, calculate power the difference according to the actual power of each Wind turbines with the theoretical power (horse-power) under identical wind speed, it is determined whether start unmanned plane and carry out Wind turbines detection.
Specifically, Wind turbines, can output when generating electricity by way of merging two or more grid systems. The power of the Wind turbines output difference according to a certain moment wind speed, its theoretical output valve is different. Under normal circumstances, due to the impact of the reason of Wind turbines itself and surrounding, the actual power of Wind turbines and theoretical power (horse-power) are also different. The principle of the present embodiment is: the corresponding relation according to the power-related parameter collected Yu the power of Wind turbines, calculate the actual power of Wind turbines, the difference of the theoretical power (horse-power) under actual power wind speed identical with the wind speed that this moment collects is more big (usual actual power is less than or equal to theoretical power (horse-power)), it was shown that the degree of the abnormality of this Wind turbines is more high.
S230, the corresponding relation according to described parameter Yu the power of Wind turbines, calculate described power; According to:Calculate the power attenuation R of all Wind turbines in each periodic wind electric field, according toCalculate the power attenuation r of each Wind turbines in each periodic wind electric fieldi, it is determined whether start unmanned plane and carry out Wind turbines detection. Wherein, pi,real��pi,theoryThe respectively actual power of the i-th typhoon group of motors and the theoretical power (horse-power) under identical wind speed in wind energy turbine set.
Specifically, if the power attenuation R of all Wind turbines more than the first predetermined value (such as 0.2), then illustrates that the power attenuation of whole wind energy turbine set is excessive in wind energy turbine set in some cycle, then start unmanned plane and carry out the data monitoring of Wind turbines; If the power attenuation r of Wind turbines in wind energy turbine setiMore than the number of units of Wind turbines of the second predetermined value (such as 0.2) more than the 3rd threshold value (such as 20), illustrate that the Wind turbines being in severe exception status in wind energy turbine set is too much, it is also desirable to start unmanned plane and Wind turbines is detected.
In the present embodiment, with reference to Fig. 4, S230 is illustrated. The box traction substation of Fig. 4 can be used to represent in some cycle the actual power of each Wind turbines in whole wind energy turbine set, it is also possible to represents the actual power of a certain typhoon group of motors.
If Fig. 4 represents in some cycle the actual power of each Wind turbines, the data point p in figure in whole wind energy turbine seti,realSummationBe all Wind turbines power statistics and, it is relative to the statistics summation of the theoretical power (horse-power) of whole wind energy turbine setThe size (with the difference of 1) of ratio and theoretical deviation be in this periodic wind electric field the power attenuation R of all Wind turbines.
If Fig. 4 represents the actual power of a certain typhoon group of motors in some cycle, the actual power p of the i-th typhoon group of motorsi,realWith theoretical power (horse-power) pi,theoryThe size (with the difference of 1) of ratio and theoretical deviation be the power attenuation r of a certain typhoon group of motors of each cyclei��
S240, it is determined that start unmanned plane and carry out the position of the target Wind turbines position of Wind turbines detection, course line, detection, the monitoring time of staying and/or data acquisition modes.
Specifically, when determining that needing to set out unmanned plane carries out Wind turbines detection, controller sends dispatch command to unmanned plane, and notifies that unmanned plane needs the detection position (in a group of planes the 10th Fans) of Wind turbines, course line (as straight line is advanced or detours), data monitoring position (such as the blade of blower fan, kuppe or tower etc.), the monitoring time of staying (such as 1 second or 3 seconds) and/or data acquisition modes (such as image acquisition and/or sound collection).
S250, generates power ascension strategy.
In this method step, the method generating power ascension strategy has three kinds, including:
Method one, the data gathered when unmanned plane is performed detection are analyzed, and generate power ascension strategy according to analyzing result.
Specifically, unmanned plane is when performing detection, the view data of Wind turbines is gathered (as whether blade surface is smooth by the collecting device of the sound carried and image, whether tower surface is smooth, whether tower swing amplitude excessive and whether kuppe surface has recessed, protuberance grades) and/or voice data (as whether uniform in the sound whether having noise and speed when blade rotates etc.), and it is processed, view data when breaking down with the same position place of the Wind turbines prestored and/or voice data compare to analyze Wind turbines exposed part running status (as when blade rotates not in a plane, do not run according to theoretical track during the driftage of cabin), judge the degree of wear of exposed part.
Power loss data, the running status of Wind turbines exposed part and the blower fan exposed part degree of wear are comprehensively analyzed by unmanned plane, it is determined that whether the corresponding position of Wind turbines breaks down. If breaking down in the relevant position of Wind turbines, then using the operation improving fault as power ascension strategy (as regulate pitch-controlled system make generator speed accelerate or slack-off, regulate propeller pitch angle, regulate yaw angle and blade, kuppe or tower surface are carried out reparation etc.) be sent to the controller of wind energy turbine set, to realize automatically obtaining video and audio frequency and sending power ascension instruction, solve the monitoring of prior art wind group of motors and cannot realize the automatically unmanned technical problem judging the Wind turbines exposed part degree of wear.
Method two: the difference according to the actual power of each Wind turbines with the theoretical power (horse-power) under identical wind speed, generates power ascension strategy.
Such as, if the actual power of Wind turbines is excessive with the difference of the theoretical power (horse-power) under identical wind speed, then determining that Wind turbines breaks down, can there is the strategy regulating or starting the hoisting powers such as stand-by power supply as electromotor carries out vector controlled to controller in unmanned plane.
Method three: according to the power attenuation R of all Wind turbines in each periodic wind electric field, generates power ascension strategy.
Such as, if the power attenuation of all Wind turbines is excessive in each periodic wind electric field, then determining that Wind turbines breaks down, unmanned plane can occur as re-started wind yaw angle, regulating propeller pitch angle or carry out electric power cable repairing constant power Promotion Strategy to controller.
Further, for mountain area, offshore wind farm unit, can adopt wired form (such as optical fiber or cable) that power ascension strategy is transmitted, for the Wind turbines on Plain, can adopt wireless form (such as WiFi, infrared ray or radio set) that power ascension strategy is transmitted.
In the present embodiment, above-mentioned Voice & Video data process and are based on R language technology and carry out, it is possible to use MATLAB technology, OpenCV technology, C Plus Plus, JAVA language, Python or Julia language etc.
The unmanned plane dispatching method based on Wind turbines power that the embodiment of the present invention provides, the actual power of Wind turbines and the difference of the theoretical power (horse-power) under identical wind speed is calculated according to the power-related parameter collected, or calculate the power attenuation of all Wind turbines in each periodic wind electric field and the power attenuation of each Wind turbines, determine whether that starting unmanned plane detects Wind turbines, and the data of the image collected by unmanned plane or sound judge the running status of wearing terrain, the degree of wear, and generate power ascension strategy, make the unmanned plane detection more automatization more targeted to fault Wind turbines, simultaneously again can the method proposing to improve to abnormal blower fan, save man power and material.
Embodiment three
Fig. 7 is the structural representation illustrating one embodiment of unmanned plane dispatching device based on Wind turbines power provided by the invention, can be used for the method step performed as shown in Figure 1. This device includes power-related parameter acquisition module 710 and unmanned aerial vehicle (UAV) control module 720.
Power-related parameter acquisition module 710, for periodically obtaining the power-related parameter of Wind turbines.
According to parameter, unmanned aerial vehicle (UAV) control module 720, for determining whether that starting unmanned plane carries out Wind turbines detection. The unmanned plane dispatching device based on Wind turbines power that the embodiment of the present invention provides, according to the power-related parameter collected, determine whether that starting unmanned plane carries out Wind turbines detection, make detection more targeted and the accuracy of unmanned plane, and the startup of unmanned plane is idiopathic, without Artificial Control, save man power and material.
Embodiment four
Fig. 8 is the structural representation illustrating unmanned plane another embodiment of dispatching device based on Wind turbines power provided by the invention, can be used for the method step performed as shown in Figure 2. This device includes power-related parameter acquisition module 710, unmanned aerial vehicle (UAV) control module the 720, first power ascension policy generation module the 730, second power ascension policy generation module 740 and the 3rd power ascension policy generation module 750.
Power-related parameter acquisition module 710, for periodically obtaining the power-related parameter of Wind turbines.
According to parameter, unmanned aerial vehicle (UAV) control module 720, for determining whether that starting unmanned plane carries out Wind turbines detection.
Specifically, unmanned aerial vehicle (UAV) control module 720 includes first unmanned aerial vehicle (UAV) control unit the 721, second unmanned aerial vehicle (UAV) control unit 722 and data acquisition modes generation unit 723.
First unmanned aerial vehicle (UAV) control unit 721, for the corresponding relation according to parameter Yu the power of Wind turbines, calculate described power, and the difference according to the actual power of each Wind turbines with the theoretical power (horse-power) under identical wind speed, it is determined whether start unmanned plane and carry out Wind turbines detection.
Second unmanned aerial vehicle (UAV) control unit 722, for the corresponding relation according to described parameter Yu the power of Wind turbines, calculates described power; According to:Calculate the power attenuation R of all Wind turbines in each periodic wind electric field; According toCalculate the power attenuation r of each Wind turbines in each periodic wind electric fieldi; Wherein, pi,real��pi,theoryThe respectively actual power of the i-th typhoon group of motors and the theoretical power (horse-power) under identical wind speed in wind energy turbine set; If in same period in wind energy turbine set the power attenuation R of all Wind turbines more than the power attenuation r of Wind turbines in the first predetermined value and/or wind energy turbine setiMore than the number of units of Wind turbines of the second predetermined value more than the 3rd threshold value, it is determined that start unmanned plane and carry out Wind turbines detection.
Data acquisition modes generates unit 723, for determining that starting unmanned plane carries out the position of the target Wind turbines position of Wind turbines detection, course line, detection, the monitoring time of staying and/or data acquisition modes.
First power ascension policy generation module 730, the data gathered during for unmanned plane is performed detection are analyzed, and generate power ascension strategy according to analyzing result.
Further, the data that unmanned plane gathers when performing detection include view data and/or voice data.
First power ascension policy generation module 730 specifically for, view data and/or voice data when the view data gathered when unmanned plane is performed detection and/or the same position place of voice data and the Wind turbines prestored break down compare, determine whether the corresponding position of Wind turbines breaks down, and using the operation that improves fault as power ascension strategy.
Second power ascension policy generation module 740, for the difference of the actual power according to each Wind turbines with the theoretical power (horse-power) under identical wind speed, generates power ascension strategy.
3rd power ascension policy generation module 750, for according to the power attenuation R of all Wind turbines in each periodic wind electric field, generating power ascension strategy.
The unmanned plane dispatching device based on Wind turbines power that the embodiment of the present invention provides, the actual power of Wind turbines and the difference of the theoretical power (horse-power) under identical wind speed is calculated according to the power-related parameter collected, or calculate the power attenuation of all Wind turbines in each periodic wind electric field and the power attenuation of each Wind turbines, determine whether that starting unmanned plane detects Wind turbines, and the data of the image collected by unmanned plane or sound judge the running status of wearing terrain, the degree of wear, and generate power ascension strategy, make the unmanned plane detection more automatization more targeted to fault Wind turbines, simultaneously again can the method proposing to improve to abnormal blower fan, save man power and material.
Embodiment five
Present invention also offers a kind of unmanned plane dispatching patcher based on Wind turbines power, this system includes: at least one frame unmanned plane, and the foregoing unmanned plane dispatching device based on Wind turbines power that unmanned plane is controlled.
Unmanned plane dispatching patcher based on Wind turbines power provided by the invention, the actual power of Wind turbines and the difference of the theoretical power (horse-power) under identical wind speed is calculated according to the power-related parameter collected, or calculate the power attenuation of all Wind turbines in each periodic wind electric field and the power attenuation of each Wind turbines, determine whether that starting unmanned plane detects Wind turbines, and the data of the image collected by unmanned plane or sound judge the running status of wearing terrain, the degree of wear, and generate power ascension strategy, make the unmanned plane detection more automatization more targeted to fault Wind turbines, simultaneously again can the method proposing to improve to abnormal blower fan, save man power and material.
The above; being only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, any those familiar with the art is in the technical scope that the invention discloses; change can be readily occurred in or replace, all should be encompassed within protection scope of the present invention. Therefore, protection scope of the present invention should be as the criterion with described scope of the claims.
Claims (17)
1. the unmanned plane dispatching method based on Wind turbines power, it is characterised in that including:
Periodically obtain the power-related parameter of Wind turbines;
Determine whether that starting unmanned plane carries out Wind turbines detection according to described parameter.
2. method according to claim 1, it is characterised in that described according to described parameter determine whether start unmanned plane carry out Wind turbines detection include:
Corresponding relation according to described parameter Yu the power of Wind turbines, calculates described power, and the difference according to the actual power of each Wind turbines with the theoretical power (horse-power) under identical wind speed, it is determined whether starts unmanned plane and carries out Wind turbines detection.
3. method according to claim 1, it is characterised in that described according to described parameter determine whether start unmanned plane carry out Wind turbines detection include:
Corresponding relation according to described parameter Yu the power of Wind turbines, calculates described power;
According to:
Calculate the power attenuation R of all Wind turbines in each periodic wind electric field;
According toCalculate the power attenuation r of each Wind turbines in each periodic wind electric fieldi; Wherein, pi,real��pi,theoryThe respectively actual power of the i-th typhoon group of motors and the theoretical power (horse-power) under identical wind speed in wind energy turbine set;
If in same period in described wind energy turbine set the power attenuation R of all Wind turbines more than the power attenuation r of Wind turbines in the first predetermined value and/or wind energy turbine setiMore than the number of units of Wind turbines of the second predetermined value more than the 3rd threshold value, it is determined that start unmanned plane and carry out Wind turbines detection.
4. method according to claim 1, it is characterised in that described determine startup unmanned plane carry out Wind turbines detection include:
Determine that starting unmanned plane carries out the target Wind turbines position of Wind turbines detection, course line, the position of detection, the monitoring time of staying and/or data acquisition modes.
5. the method according to any one of claim 1-4, it is characterised in that described method also includes: the data gathered when described unmanned plane is performed detection are analyzed, and generate power ascension strategy according to analyzing result.
6. method according to claim 5, it is characterised in that the data gathered when described unmanned plane performs detection include view data and/or voice data;
The described data performing described unmanned plane to gather when detecting are analyzed, and include according to analyzing result generation power ascension strategy:
View data and/or voice data when the view data gathered when described unmanned plane is performed detection and/or the same position place of voice data and the Wind turbines prestored break down compare, determine whether the corresponding position of Wind turbines breaks down, and using the operation that improves fault as described power ascension strategy.
7. method according to claim 2, it is characterised in that described method also includes: the difference according to the actual power of each Wind turbines with the theoretical power (horse-power) under identical wind speed, generates power ascension strategy.
8. method according to claim 3, it is characterised in that described method also includes: according to the power attenuation R of all Wind turbines in each periodic wind electric field, generates power ascension strategy.
9. the unmanned plane dispatching device based on Wind turbines power, it is characterised in that described device includes:
Power-related parameter acquisition module, for periodically obtaining the power-related parameter of Wind turbines;
According to described parameter, unmanned aerial vehicle (UAV) control module, for determining whether that starting unmanned plane carries out Wind turbines detection.
10. device according to claim 9, it is characterised in that described unmanned aerial vehicle (UAV) control module includes:
First unmanned aerial vehicle (UAV) control unit, for the corresponding relation according to described parameter Yu the power of Wind turbines, calculate described power, and the difference according to the actual power of each Wind turbines with the theoretical power (horse-power) under identical wind speed, it is determined whether start unmanned plane and carry out Wind turbines detection.
11. device according to claim 9, it is characterised in that described unmanned aerial vehicle (UAV) control module also includes:
Second unmanned aerial vehicle (UAV) control unit, for the corresponding relation according to described parameter Yu the power of Wind turbines, calculates described power;
According to:
Calculate the power attenuation R of all Wind turbines in each periodic wind electric field;
According to
Calculate the power attenuation r of each Wind turbines in each periodic wind electric fieldi; Wherein, pi,real��pi,theoryThe respectively actual power of the i-th typhoon group of motors and the theoretical power (horse-power) under identical wind speed in wind energy turbine set;
If in same period in described wind energy turbine set the power attenuation R of all Wind turbines more than the power attenuation ri of Wind turbines in the first predetermined value and/or wind energy turbine set more than the number of units of the Wind turbines of the second predetermined value more than the 3rd threshold value, it is determined that start unmanned plane and carry out Wind turbines detection.
12. device according to claim 9, it is characterised in that described unmanned aerial vehicle (UAV) control module also includes:
Data acquisition modes generates unit, for determining that starting unmanned plane carries out the target Wind turbines position of Wind turbines detection, course line, the position of detection, the monitoring time of staying and/or data acquisition modes.
13. according to the device described in any one of claim 9-12, it is characterised in that described device also includes:
First power ascension policy generation module, the data gathered during for described unmanned plane is performed detection are analyzed, and generate power ascension strategy according to analyzing result.
14. device according to claim 13, it is characterised in that the data gathered when described unmanned plane performs detection include view data and/or voice data;
Described first power ascension policy generation module specifically for, view data and/or voice data when the view data gathered when described unmanned plane is performed detection and/or the same position place of voice data and the Wind turbines prestored break down compare, determine whether the corresponding position of Wind turbines breaks down, and using the operation that improves fault as described power ascension strategy.
15. device according to claim 10, it is characterised in that described device also includes:
Second power ascension policy generation module, for the difference of the actual power according to each Wind turbines with the theoretical power (horse-power) under identical wind speed, generates power ascension strategy.
16. device according to claim 11, it is characterised in that described device also includes:
3rd power ascension policy generation module, for according to the power attenuation R of all Wind turbines in each periodic wind electric field, generating power ascension strategy.
17. the unmanned plane dispatching patcher based on Wind turbines power, it is characterised in that including: at least one frame unmanned plane, and the unmanned plane dispatching device based on Wind turbines power as described in any one of claim 9-16 that unmanned plane is controlled.
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