Portable grease adding device of wind generating set

Abstract

The invention provides a portable grease adding device of a wind generating set, and relates to the technical field of wind driven generator devices, the portable grease adding device comprises a grease storage device used for storing grease; the nozzle device is connected with the grease storage device and is used for conveying the grease from the grease storage device to the fan generator main shaft, the variable pitch gear ring or the yaw gear ring; the handle device is used for holding and operating the fat liquoring machine; the power device is used for providing power for the fat liquoring machine; the control system is electrically connected with the grease storage device, the handle device and the power device and used for controlling the grease conveying and filling process. The grease filling device is simple in structure, convenient to operate and flexible to use, grease filling of a fan generator main shaft, a variable pitch gear ring, a yaw gear ring and other components can be achieved through combination of the grease storage device, the nozzle device, the handle device, the power device and the control system assembly, and the maintenance efficiency is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of wind turbine generator devices, and in particular relates to a portable greasing device for a wind turbine generator set. Background Art

[0002] With the continuous development of wind power generation technology, wind turbines are increasingly used in the power generation industry. The main shaft, pitch gear ring, yaw gear ring and other parts of the wind turbine need to be regularly greased to maintain their normal operation;

[0003] Existing greasing methods include manual greasing, automatic greasing, pneumatic greasing and grease fixed supply device greasing. Among them, manual greasing is the most traditional greasing method. A manual grease gun is used to inject grease into key parts of the fan generator, such as the main shaft, pitch gear ring, yaw gear ring, etc.; the automatic greasing system automatically adds grease to the fan generator based on timing or set conditions. The system is usually composed of a hydraulic pump, a grease supply pipeline, a grease distributor and a sensor. The sensor can monitor the working condition of the fan generator. When grease needs to be added, the system will automatically start the hydraulic pump and deliver the grease to the corresponding part; pneumatic greasing uses compressed air to spray grease to the key parts of the fan generator through a special grease gun; grease fixed supply device greasing is to fix the grease directly on the key parts of the fan generator, and automatically release the grease through penetration and circulation to provide lubrication;

[0004] Problems existing in the prior art include: manual greasing is simple and easy, but requires manual operation and has low efficiency; automatic greasing can improve the accuracy and efficiency of greasing and reduce manual intervention, but requires the installation and maintenance of the automatic greasing system, which increases cost and complexity; pneumatic greasing has the advantages of fast speed, wide spray range, and simple operation, which can effectively improve the efficiency and accuracy of grease addition, but pneumatic greasing needs to be equipped with a compressed air system, which increases equipment and energy consumption; grease fixed supply device greasing does not require additional equipment and energy, and can stably and continuously provide grease to the fan generator, but the grease fixed supply device needs to be designed with a reasonable structure and material to ensure the amount and frequency of grease release;

[0005] Therefore, a portable greasing device with good greasing accuracy and efficiency is badly needed. Summary of the invention

[0006] The present invention provides a portable greasing device for a wind turbine generator set, which is used to solve at least one of the above-mentioned technical problems.

[0007] In order to solve the above technical problems, the present invention discloses a portable greasing device for a wind turbine generator set, comprising:

[0008] A grease storage device for storing grease;

[0009] A nozzle device is connected to the grease storage device and is used to transport grease from the grease storage device to the main shaft, pitch gear ring or yaw gear ring of the wind turbine generator;

[0010] A handle device for holding and operating the grease machine;

[0011] A power device, used to provide power to the grease machine;

[0012] The control system is electrically connected with the grease storage device, the handle device and the power device, and is used for controlling the grease delivery and filling process.

[0013] Preferably, the grease storage device adopts a refillable pressure container, and a pressure gauge is provided on the container to display the grease storage pressure;

[0014] The nozzle device can be designed to be detachable, which is convenient for replacing nozzles of different sizes and shapes;

[0015] The handle device is provided with a control button or switch of the grease adding machine.

[0016] Preferably, a fat-adding evaluation and judgment module is also included, and the fat-adding evaluation and judgment module includes:

[0017] A data detection unit, used to collect temperature detection values, noise detection values ​​and surface debris detection values ​​of wind turbine generator components in each detection cycle, the wind turbine generator components including the wind turbine generator main shaft, pitch gear ring and yaw gear ring;

[0018] An evaluation value acquisition unit is used to input the temperature detection value, noise detection value and surface impurity detection value of the wind turbine generator set components collected in each detection cycle into the trained operation temperature evaluation model, operation noise evaluation model and surface cleanliness evaluation model corresponding to each wind turbine generator set component, respectively, to obtain the operation temperature evaluation value, operation noise evaluation value and surface cleanliness evaluation value of each wind turbine generator set component in each detection cycle;

[0019] A lubrication comprehensive evaluation matrix construction unit is used to construct a lubrication comprehensive evaluation matrix for wind turbine generator set components in a detection period based on the temperature detection value, noise detection value, surface impurity detection value of the wind turbine generator set components in each detection period and the operating temperature evaluation value, operating noise evaluation value and surface cleanliness evaluation value of each wind turbine generator set component in each detection period;

[0020] A lubrication evaluation and judgment unit, used to obtain a lubrication demand evaluation value of the wind turbine generator set components corresponding to the detection period based on a lubrication comprehensive evaluation matrix of the wind turbine generator set components during the detection period;

[0021] The lubrication amount calculation unit is used to calculate the lubrication requirement of the wind turbine generator set components corresponding to the detection period based on the lubrication requirement evaluation value of the wind turbine generator set components during the detection period.

[0022] Preferably, based on the temperature detection value, noise detection value, surface impurity detection value of the wind turbine generator set components in each detection cycle and the operating temperature evaluation value, operating noise evaluation value and surface cleanliness evaluation value of each wind turbine generator set component in each detection cycle, a comprehensive evaluation matrix for greasing the wind turbine generator set components in each detection cycle is constructed:

[0023] in, is the comprehensive evaluation matrix of lubrication of the xth wind turbine component in the nth detection cycle, a 1x is the temperature detection value of the first detection cycle of the xth wind turbine component, a 2x is the temperature detection value of the xth wind turbine component in the second detection cycle, a nx is the temperature detection value of the xth wind turbine component in the nth detection cycle, b 1x is the noise detection value of the first detection cycle of the xth wind turbine component, b 2x is the noise detection value of the second detection cycle of the xth wind turbine component, b nx is the noise detection value of the xth wind turbine component in the nth detection cycle, c 1x is the surface debris detection value of the xth wind turbine component in the first detection cycle, c 2x is the surface debris detection value of the xth wind turbine component in the second detection cycle, c nx A is the surface debris detection value of the xth wind turbine component in the nth detection cycle, 1x is the operating temperature evaluation value of the xth wind turbine component in the first test cycle, A 2x is the operating temperature evaluation value of the xth wind turbine component in the second test cycle, A nx is the operating temperature evaluation value of the xth wind turbine component in the nth detection cycle, B 1x is the operating noise evaluation value of the xth wind turbine component in the first detection cycle, B 2x is the operating noise evaluation value of the xth wind turbine component in the second detection cycle, B nx is the operating noise evaluation value of the xth wind turbine component in the nth detection cycle, C 1x is the surface cleanliness evaluation value of the xth wind turbine component in the first inspection cycle, C 2x is the surface cleanliness evaluation value of the xth wind turbine component in the second test cycle, C nxIt is the surface cleanliness assessment value of the x-th wind turbine component in the n-th inspection cycle.

[0024] Preferably, based on the comprehensive evaluation matrix of lubrication of wind turbine components in the detection period, the evaluation value of lubrication demand of wind turbine components corresponding to the detection period is obtained:

[0025] Delete each type of detection value and its corresponding evaluation value element in the comprehensive evaluation matrix of lubrication of the x-th wind turbine generator component in the detection period, and obtain three intermediate matrices, namely, the temperature evaluation intermediate matrix, the noise evaluation intermediate matrix, and the surface cleanliness evaluation intermediate matrix, obtain the ranks of the temperature evaluation intermediate matrix, the noise evaluation intermediate matrix, and the surface cleanliness evaluation intermediate matrix, and compare the rank corresponding to each intermediate matrix with the preset benchmark evaluation value of the corresponding type, and average the ranks of the intermediate matrices whose ranks are greater than the preset benchmark evaluation value of the corresponding type to obtain the lubrication demand evaluation value of the x-th wind turbine generator component in the detection period;

[0026] If the lubrication demand assessment value of the x-th wind turbine generator component in the detection period is greater than the preset lubrication demand assessment value, lubrication is performed.

[0027] Preferably, based on the lubrication demand evaluation value of the wind turbine generator set component in the detection period, the lubrication demand of the wind turbine generator set component corresponding to the detection period is calculated:

[0028] in, is the lubrication requirement of the xth wind turbine component in the nth detection cycle, is the base lubrication requirement of the x-th wind turbine component, lg is the logarithm with base 10, β 1nx is the lubrication demand assessment value of the xth wind turbine component in the nth detection cycle, β 0nx A lubrication requirement assessment value is preset for the xth wind turbine component in the nth detection cycle.

[0029] Preferably, it also includes an automatic greasing module for the grease storage device, and the automatic greasing module for the grease storage device includes:

[0030] A wind turbine generator set component lubrication demand prediction matrix construction unit, used to construct a lubrication demand prediction matrix of the corresponding wind turbine generator set component based on the lubrication demand of each wind turbine generator set component in each detection cycle;

[0031] A total lubrication demand obtaining unit is used to predict the total lubrication demand of the next detection cycle based on the demand prediction matrix of each wind turbine component;

[0032] The addition amount calculation unit is used to determine the addition demand based on the existing grease amount in the grease storage device and the total grease demand in the next detection cycle, and automatically add grease based on the result of the addition demand determination.

[0033] Preferably, based on the lubrication requirement of each wind turbine generator set component in each detection cycle, a lubrication requirement prediction matrix of the corresponding wind turbine generator set component is constructed:

[0034]

[0035] (3); where T xn is the prediction matrix of the lubrication demand of the xth wind turbine component in the nth detection cycle, is the lubrication requirement of the xth wind turbine component in the first detection cycle, is the lubrication requirement of the xth wind turbine component in the second detection cycle, is the lubrication requirement of the xth wind turbine component in the third detection cycle, is the lubrication requirement of the xth wind turbine component in the 4th detection cycle, is the lubrication requirement of the xth wind turbine component in the nth detection cycle, It is the lubrication requirement of the xth wind turbine component in the n-1th detection cycle.

[0036] Preferably, based on the demand prediction matrix of each wind turbine component, the total lubrication demand of the next detection cycle is predicted, including:

[0037] Obtain the mean of all matrix elements in the second row of the prediction matrix of the lubrication demand of the x-th wind turbine generator component in the n-th detection cycle, and set the elements in the last column of the prediction matrix of the lubrication demand of the x-th wind turbine generator component in the n-th detection cycle to a value equal to the mean of all matrix elements in the second row, thereby obtaining a new matrix of the x-th wind turbine generator component, and taking the rank of the new matrix of the x-th wind turbine generator component as the lubrication demand T of the x-th wind turbine generator component in the n+1-th detection cycle. x(n+1) ;

[0038] Total lubrication requirements for all wind turbine components in the n+1th detection cycle:

[0039] in, is the total lubrication demand of all wind turbine components in the n+1th detection cycle, m is the total number of lubricated components of the wind turbine, T x(n+1) It is the lubrication requirement of the xth wind turbine component in the n+1th detection cycle.

[0040] Preferably, the addition demand is judged based on the existing amount of grease in the grease storage device and the total grease addition demand in the next detection cycle, and grease is automatically added based on the result of the addition demand judgment:

[0041] like No fat filling is performed;

[0042] like The grease storage device needs to be Amount of fat;

[0043] in, is the grease storage amount of the grease storage device in the nth detection cycle, and ΔT is the reference grease compensation amount.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] The portable grease adding machine of the present invention can add grease to the main shaft of the wind turbine generator, the pitch gear ring, the yaw gear ring and other components through the combination of the grease storage device, the nozzle device, the handle device, the power device and the control system component. The maintenance personnel only need to place the grease adding machine with grease in the grease storage device near the components that need to be added with grease, and spray the grease on the surface of the components through the nozzle device to add grease. During use, the maintenance personnel can control the flow rate of grease and the switch of the nozzle through the control system to meet the grease adding needs of different components. At the same time, the portable design of the grease adding machine enables the maintenance personnel to conveniently carry out maintenance work, thereby improving the maintenance efficiency.

[0046] The portable grease filling machine of the present invention has the advantages of simple structure, convenient operation, flexible use, etc., and is suitable for grease filling work of all parts during the maintenance process of the fan. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0048] Figure 1 This is a schematic diagram of a portable greasing device for a wind turbine generator set proposed by the present invention. DETAILED DESCRIPTION

[0049] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0050] In addition, in the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes, and do not specifically refer to the order or sequence, nor are they used to limit the present invention. They are only used to distinguish components or operations described with the same technical terms, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions and technical features between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0051] The present invention provides the following embodiments

[0052] Example 1

[0053] The embodiment of the present invention provides a portable greasing device for a wind turbine generator set, such as Figure 1 As shown, including:

[0054] A grease storage device for storing grease;

[0055] A nozzle device is connected to the grease storage device and is used to transport grease from the grease storage device to the main shaft, pitch gear ring or yaw gear ring of the wind turbine generator;

[0056] A handle device for holding and operating the grease machine;

[0057] A power device, used to provide power to the grease machine;

[0058] The control system is electrically connected with the grease storage device, the handle device and the power device, and is used for controlling the grease delivery and filling process.

[0059] Preferably, the grease storage device adopts a refillable pressure container, and a pressure gauge is provided on the container to display the grease storage pressure;

[0060] The nozzle device can be designed to be detachable, which is convenient for replacing nozzles of different sizes and shapes;

[0061] The handle device is provided with a control button or switch of the grease adding machine.

[0062] The working principle and beneficial effects of the above technical solution are as follows: the portable grease adding machine of the present invention can realize the grease filling of the main shaft, pitch gear ring, yaw gear ring and other components of the wind turbine generator through the combination of the grease storage device, the nozzle device, the handle device, the power device and the control system component. The maintenance personnel only need to place the grease adding machine with grease in the grease storage device near the components that need to be greased, and spray the grease on the surface of the components through the nozzle device to realize the grease addition. During use, the maintenance personnel can control the flow rate of grease and the switch of the nozzle through the control system to meet the grease filling needs of different components. At the same time, the portable design of the grease adding machine enables the maintenance personnel to carry out maintenance work conveniently, thereby improving the maintenance efficiency.

[0063] The portable grease filling machine of the present invention has the advantages of simple structure, convenient operation, flexible use, etc., and is suitable for grease filling work of all parts during the maintenance process of the fan.

[0064] Example 2

[0065] On the basis of embodiment 1, a fat-adding evaluation and judgment module is also included, and the fat-adding evaluation and judgment module includes:

[0066] A data detection unit, used to collect temperature detection values, noise detection values ​​and surface debris detection values ​​of wind turbine generator components in each detection cycle, the wind turbine generator components including the wind turbine generator main shaft, pitch gear ring and yaw gear ring;

[0067] An evaluation value acquisition unit is used to input the temperature detection value, noise detection value and surface impurity detection value of the wind turbine generator set components collected in each detection cycle into the trained operation temperature evaluation model, operation noise evaluation model and surface cleanliness evaluation model corresponding to each wind turbine generator set component, respectively, to obtain the operation temperature evaluation value, operation noise evaluation value and surface cleanliness evaluation value of each wind turbine generator set component in each detection cycle;

[0068] A lubrication comprehensive evaluation matrix construction unit is used to construct a lubrication comprehensive evaluation matrix for wind turbine generator set components in a detection period based on the temperature detection value, noise detection value, surface impurity detection value of the wind turbine generator set components in each detection period and the operating temperature evaluation value, operating noise evaluation value and surface cleanliness evaluation value of each wind turbine generator set component in each detection period;

[0069] A lubrication evaluation and judgment unit, used to obtain a lubrication demand evaluation value of the wind turbine generator set components corresponding to the detection period based on a lubrication comprehensive evaluation matrix of the wind turbine generator set components during the detection period;

[0070] The lubrication amount calculation unit is used to calculate the lubrication requirement of the wind turbine generator set components corresponding to the detection period based on the lubrication requirement evaluation value of the wind turbine generator set components during the detection period.

[0071] The working principle and beneficial effects of the above technical solution are as follows: the data detection unit collects the temperature detection values, noise detection values ​​and surface debris detection values ​​of the main shaft, pitch gear ring and yaw gear ring of the wind turbine generator, and obtains the operating temperature evaluation values, operating noise evaluation values ​​and surface cleanliness evaluation values ​​of the main shaft, pitch gear ring and yaw gear ring of the wind turbine generator in each detection cycle based on the collection results and the trained operating temperature evaluation models, operating noise evaluation models and surface cleanliness evaluation models corresponding to the main shaft, pitch gear ring and yaw gear ring of the wind turbine generator, and constructs a comprehensive evaluation matrix for lubrication of the main shaft of the wind turbine generator, a comprehensive evaluation matrix for lubrication of the pitch gear ring of the wind turbine generator and a comprehensive evaluation matrix for lubrication of the yaw gear ring of the wind turbine generator based on the above data during the detection cycle; The comprehensive lubrication evaluation matrix of the main shaft of the wind turbine generator, the comprehensive lubrication evaluation matrix of the variable pitch gear ring of the wind turbine generator and the comprehensive lubrication evaluation matrix of the yaw gear ring of the wind turbine generator are used to obtain the lubrication demand evaluation value of the main shaft of the wind turbine generator corresponding to the detection period, the lubrication demand evaluation value of the variable pitch gear ring of the wind turbine generator corresponding to the detection period and the lubrication demand evaluation value of the yaw gear ring of the wind turbine generator corresponding to the detection period; based on the lubrication demand evaluation value of the main shaft of the wind turbine generator corresponding to the detection period, the lubrication demand evaluation value of the variable pitch gear ring of the wind turbine generator corresponding to the detection period and the lubrication demand evaluation value of the yaw gear ring of the wind turbine generator corresponding to the detection period, the lubrication demand amount of the main shaft of the wind turbine corresponding to the detection period, the lubrication demand amount of the variable pitch gear ring of the wind turbine corresponding to the detection period and the lubrication demand amount of the yaw gear ring of the wind turbine corresponding to the detection period;

[0072] It achieves accurate assessment and precise control of the greasing requirements of the wind turbine main shaft, pitch gear ring and yaw gear ring, improves maintenance efficiency, reduces operating costs, and enhances system stability and reliability.

[0073] Example 3

[0074] On the basis of Example 2, based on the temperature detection value, noise detection value, surface impurity detection value of the wind turbine components in each detection cycle and the operating temperature evaluation value, operating noise evaluation value and surface cleanliness evaluation value of each wind turbine component in each detection cycle, a comprehensive evaluation matrix for greasing the wind turbine components in each detection cycle is constructed:

[0075] in, is the comprehensive evaluation matrix of lubrication of the xth wind turbine component in the nth detection cycle, a 1x is the temperature detection value of the first detection cycle of the xth wind turbine component, a 2x is the temperature detection value of the xth wind turbine component in the second detection cycle, a nxis the temperature detection value of the xth wind turbine component in the nth detection cycle, b 1x is the noise detection value of the first detection cycle of the xth wind turbine component, b 2x is the noise detection value of the second detection cycle of the xth wind turbine component, b nx is the noise detection value of the xth wind turbine component in the nth detection cycle, c 1x is the surface debris detection value of the xth wind turbine component in the first detection cycle, c 2x is the surface debris detection value of the xth wind turbine component in the second detection cycle, c nx A is the surface debris detection value of the xth wind turbine component in the nth detection cycle, 1x is the operating temperature evaluation value of the xth wind turbine component in the first test cycle, A 2x is the operating temperature evaluation value of the xth wind turbine component in the second test cycle, A nx is the operating temperature evaluation value of the xth wind turbine component in the nth detection cycle, B 1x is the operating noise evaluation value of the xth wind turbine component in the first detection cycle, B 2x is the operating noise evaluation value of the xth wind turbine component in the second detection cycle, B nx is the operating noise evaluation value of the xth wind turbine component in the nth detection cycle, C 1x is the surface cleanliness evaluation value of the xth wind turbine component in the first inspection cycle, C 2x is the surface cleanliness evaluation value of the xth wind turbine component in the second test cycle, C nx It is the surface cleanliness assessment value of the x-th wind turbine component in the n-th inspection cycle.

[0076] The working principle and beneficial effects of the above technical solution are as follows: by using the temperature detection value, noise detection value, surface debris detection value of the wind turbine components and the operating temperature evaluation value, operating noise evaluation value and surface cleanliness evaluation value of each component in each detection cycle, a comprehensive evaluation matrix for lubrication of the wind turbine components in each detection cycle is constructed. By constructing a comprehensive evaluation matrix for lubrication, the data and evaluation results of various indicators can be comprehensively considered to form a comprehensive evaluation of lubrication needs. In this way, the lubrication needs of each component in each detection cycle can be judged more accurately, and the accurate evaluation of the lubrication needs of wind turbine components can be improved. In this way, the lubrication operation can be better guided, maintenance efficiency can be improved, operating costs can be reduced, and the stability and reliability of the system can be enhanced.

[0077] Example 4

[0078] On the basis of Example 3, based on the comprehensive evaluation matrix of lubrication of wind turbine components during the detection period, the evaluation value of lubrication demand of wind turbine components corresponding to the detection period is obtained:

[0079] Delete each type of detection value and its corresponding evaluation value element in the comprehensive evaluation matrix of lubrication of the x-th wind turbine generator component in the detection period, and obtain three intermediate matrices, namely, the temperature evaluation intermediate matrix, the noise evaluation intermediate matrix, and the surface cleanliness evaluation intermediate matrix, obtain the ranks of the temperature evaluation intermediate matrix, the noise evaluation intermediate matrix, and the surface cleanliness evaluation intermediate matrix, and compare the rank corresponding to each intermediate matrix with the preset benchmark evaluation value of the corresponding type, and average the ranks of the intermediate matrices whose ranks are greater than the preset benchmark evaluation value of the corresponding type to obtain the lubrication demand evaluation value of the x-th wind turbine generator component in the detection period;

[0080] If the lubrication demand assessment value of the x-th wind turbine generator component in the detection period is greater than the preset lubrication demand assessment value, lubrication is performed.

[0081] The working principle and beneficial effects of the above technical solution are as follows: from the comprehensive evaluation matrix of greasing of each component, the temperature detection value, noise detection value and surface impurity detection value and their corresponding evaluation value elements are deleted to obtain three intermediate matrices, namely the temperature evaluation intermediate matrix, the noise evaluation intermediate matrix and the surface cleanliness evaluation intermediate matrix. The ranks of the temperature evaluation intermediate matrix, the noise evaluation intermediate matrix and the surface cleanliness evaluation intermediate matrix are calculated respectively, and the rank of each intermediate matrix is ​​compared with the preset benchmark evaluation value of the corresponding type. If the rank of the intermediate matrix is ​​greater than the rank of the preset benchmark evaluation value of the corresponding type, it means that the type is the main influencing type of the greasing demand of the component, and the rank corresponding to the type should be mainly considered when considering the greasing demand evaluation value.

[0082] Through comprehensive evaluation and benchmark comparison of wind turbine components, it is possible to more accurately determine the lubrication needs of each component during each inspection cycle, and perform targeted lubrication operations accordingly, thereby improving maintenance efficiency, reducing operating costs, and enhancing system stability and reliability.

[0083] Example 5

[0084] On the basis of Example 4, based on the lubrication demand evaluation value of the wind turbine generator set components during the detection period, the lubrication demand of the wind turbine generator set components corresponding to the detection period is calculated:

[0085] in, is the lubrication requirement of the xth wind turbine component in the nth detection cycle, is the base lubrication requirement of the x-th wind turbine component, lg is the logarithm with base 10, β 1nxis the lubrication demand assessment value of the xth wind turbine component in the nth detection cycle, β 0nx A lubrication requirement assessment value is preset for the xth wind turbine component in the nth detection cycle.

[0086] The working principle and beneficial effects of the above technical scheme are: the greater the difference between the lubrication demand assessment value of the x-th wind turbine component in the n-th detection cycle and the preset lubrication demand assessment value of the x-th wind turbine component in the n-th detection cycle, the greater the lubrication demand of the x-th wind turbine component in the n-th detection cycle. The demand calculated based on the lubrication demand assessment value can accurately control the lubrication amount of each component to avoid equipment failure caused by excessive or insufficient lubrication. Accurate calculation of the lubrication amount helps to maintain the good operating condition of the wind turbine components, enhance the stability and reliability of the system, and extend the service life of the equipment.

[0087] Example 6

[0088] On the basis of Example 2, it also includes an automatic greasing module for a grease storage device, and the automatic greasing module for a grease storage device includes:

[0089] A wind turbine generator set component lubrication demand prediction matrix construction unit, used to construct a lubrication demand prediction matrix of the corresponding wind turbine generator set component based on the lubrication demand of each wind turbine generator set component in each detection cycle;

[0090] A total lubrication demand obtaining unit is used to predict the total lubrication demand of the next detection cycle based on the demand prediction matrix of each wind turbine component;

[0091] The addition amount calculation unit is used to determine the addition demand based on the existing grease amount in the grease storage device and the total grease demand in the next detection cycle, and automatically add grease based on the result of the addition demand determination.

[0092] The working principle and beneficial effects of the above technical scheme are as follows: an automatic greasing module for a grease storage device is introduced to realize automatic grease addition operations, reduce the need for manual intervention, and improve the degree of automation of operations; a grease demand prediction matrix based on wind turbine components is constructed to predict the total grease demand for the next detection cycle, that is, the sum of the grease demand of all wind turbine components such as the main shaft, pitch gear ring, and yaw gear ring; and the grease demand is judged by the addition demand calculation unit, so that the grease addition amount can be more accurately controlled to avoid excessive or insufficient addition. By accurately controlling the grease addition amount, unnecessary grease waste is avoided, the use of grease resources is saved, and maintenance costs are reduced. The grease amount in the grease storage device is kept at an appropriate level to meet the grease demand of wind turbine components, which can improve the stability and reliability of the system and extend the service life of the equipment.

[0093] Example 7

[0094] On the basis of Example 6, based on the lubrication requirement of each wind turbine generator component in each detection cycle, a lubrication requirement prediction matrix of the corresponding wind turbine generator component is constructed:

[0095]

[0096] (3); where T xn is the prediction matrix of the lubrication demand of the xth wind turbine component in the nth detection cycle, is the lubrication requirement of the xth wind turbine component in the first detection cycle, is the lubrication requirement of the xth wind turbine component in the second detection cycle, is the lubrication requirement of the xth wind turbine component in the third detection cycle, is the lubrication requirement of the xth wind turbine component in the 4th detection cycle, is the lubrication requirement of the xth wind turbine component in the nth detection cycle, It is the lubrication requirement of the xth wind turbine component in the n-1th detection cycle.

[0097] The working principle and beneficial effects of the above technical solution are as follows: by constructing a greasing demand prediction matrix, the changes in greasing demand of each component can be analyzed more scientifically, helping maintenance personnel to formulate more reasonable maintenance plans and greasing strategies for grease storage devices, avoiding unnecessary waste caused by arbitrary greasing. Long-term recorded data can be used for trend analysis to identify periodic changes or abnormal fluctuations in greasing demand, which enables maintenance personnel to discover potential problems in a timely manner and take measures in advance to reduce the risk of sudden failures. Through accurate greasing demand prediction, the grease storage device can more reasonably arrange grease replenishment and distribution, optimize resource allocation, reduce operating costs, and improve maintenance efficiency. Quantitative analysis and prediction of greasing demand help ensure that the various components of the wind turbine are properly lubricated, reduce the risk of failure due to insufficient lubrication, and thus improve the reliability and service life of the equipment.

[0098] Example 8

[0099] On the basis of Example 7, based on the demand prediction matrix of each wind turbine component, the total lubrication demand in the next detection cycle is predicted, including:

[0100] Obtain the mean of all matrix elements in the second row of the prediction matrix of the lubrication demand of the x-th wind turbine generator component in the n-th detection cycle, and set the elements in the last column of the prediction matrix of the lubrication demand of the x-th wind turbine generator component in the n-th detection cycle to a value equal to the mean of all matrix elements in the second row, thereby obtaining a new matrix of the x-th wind turbine generator component, and taking the rank of the new matrix of the x-th wind turbine generator component as the lubrication demand T of the x-th wind turbine generator component in the n+1-th detection cycle. x(n+1) ;

[0101] Total lubrication requirements for all wind turbine components in the n+1th detection cycle:

[0102] in, is the total lubrication demand of all wind turbine components in the n+1th detection cycle, m is the total number of lubricated components of the wind turbine, T x(n+1) It is the lubrication requirement of the xth wind turbine component in the n+1th detection cycle.

[0103] Preferably, the addition demand is judged based on the existing amount of grease in the grease storage device and the total grease addition demand in the next detection cycle, and grease is automatically added based on the result of the addition demand judgment:

[0104] like No fat filling is performed;

[0105] like The grease storage device needs to be Amount of fat;

[0106] in, is the grease storage amount of the grease storage device in the nth detection cycle, and ΔT is the reference grease compensation amount.

[0107] The working principle and beneficial effects of the above technical solution are as follows: by accurately calculating the total lubrication demand of all wind turbine components in the n+1th detection cycle and comparing the grease storage amount of the grease storage device in the nth detection cycle, accurate and automatic lubrication of the grease storage device can be achieved, thereby enhancing the lubrication management capability of the wind turbine, improving maintenance efficiency, and ensuring the stability and reliability of the system.

[0108] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A portable greasing device for a wind turbine generator set, characterized in that: include: A grease storage device for storing grease; A nozzle device is connected to the grease storage device and is used to transport grease from the grease storage device to the main shaft, pitch gear ring or yaw gear ring of the wind turbine generator; A handle device for holding and operating the grease machine; A power device, used to provide power to the grease machine; The control system is electrically connected with the grease storage device, the handle device and the power device, and is used for controlling the grease delivery and filling process.

2. A portable greasing device for wind turbine generator set according to claim 1, characterized in that: The grease storage device adopts a refillable pressure container, and a pressure gauge is provided on the container to display the grease storage pressure; The nozzle device can be designed to be detachable, which is convenient for replacing nozzles of different sizes and shapes; The handle device is provided with a control button or switch of the grease adding machine.

3. A portable greasing device for wind turbine generator set according to claim 1, characterized in that: It also includes a fat-addition evaluation and judgment module, which includes: A data detection unit, used to collect temperature detection values, noise detection values ​​and surface debris detection values ​​of wind turbine generator components in each detection cycle, the wind turbine generator components including the wind turbine generator main shaft, pitch gear ring and yaw gear ring; An evaluation value acquisition unit is used to input the temperature detection value, noise detection value and surface impurity detection value of the wind turbine generator set components collected in each detection cycle into the trained operation temperature evaluation model, operation noise evaluation model and surface cleanliness evaluation model corresponding to each wind turbine generator set component, respectively, to obtain the operation temperature evaluation value, operation noise evaluation value and surface cleanliness evaluation value of each wind turbine generator set component in each detection cycle; A lubrication comprehensive evaluation matrix construction unit is used to construct a lubrication comprehensive evaluation matrix for wind turbine generator set components in a detection period based on the temperature detection value, noise detection value, surface impurity detection value of the wind turbine generator set components in each detection period and the operating temperature evaluation value, operating noise evaluation value and surface cleanliness evaluation value of each wind turbine generator set component in each detection period; A lubrication evaluation and judgment unit, used to obtain a lubrication demand evaluation value of the wind turbine generator set components corresponding to the detection period based on a lubrication comprehensive evaluation matrix of the wind turbine generator set components during the detection period; The lubrication amount calculation unit is used to calculate the lubrication requirement of the wind turbine generator set components corresponding to the detection period based on the lubrication requirement evaluation value of the wind turbine generator set components during the detection period.

4. A portable greasing device for wind turbine generator set according to claim 3, characterized in that: Based on the temperature detection value, noise detection value, surface impurity detection value of wind turbine components in each detection cycle and the operating temperature evaluation value, operating noise evaluation value and surface cleanliness evaluation value of each wind turbine component in each detection cycle, a comprehensive evaluation matrix for greasing wind turbine components in each detection cycle is constructed: in, is the comprehensive evaluation matrix of lubrication of the xth wind turbine component in the nth detection cycle, a 1x is the temperature detection value of the first detection cycle of the xth wind turbine component, a 2x is the temperature detection value of the xth wind turbine component in the second detection cycle, a nx is the temperature detection value of the xth wind turbine component in the nth detection cycle, b 1x is the noise detection value of the first detection cycle of the xth wind turbine component, b 2x is the noise detection value of the second detection cycle of the xth wind turbine component, b nx is the noise detection value of the xth wind turbine component in the nth detection cycle, c 1x is the surface debris detection value of the xth wind turbine component in the first detection cycle, c 2x is the surface debris detection value of the xth wind turbine component in the second detection cycle, c nx A is the surface debris detection value of the xth wind turbine component in the nth detection cycle, 1x is the operating temperature evaluation value of the xth wind turbine component in the first test cycle, A 2x is the operating temperature evaluation value of the xth wind turbine component in the second test cycle, A nx is the operating temperature evaluation value of the xth wind turbine component in the nth detection cycle, B 1x is the operating noise evaluation value of the xth wind turbine component in the first detection cycle, B 2x is the operating noise evaluation value of the xth wind turbine component in the second detection cycle, B nx is the operating noise evaluation value of the xth wind turbine component in the nth detection cycle, C 1x is the surface cleanliness evaluation value of the xth wind turbine component in the first inspection cycle, C 2x is the surface cleanliness evaluation value of the xth wind turbine component in the second test cycle, C nx It is the surface cleanliness assessment value of the x-th wind turbine component in the n-th inspection cycle.

5. A portable greasing device for wind turbine generator set according to claim 4, characterized in that: Based on the comprehensive evaluation matrix of lubrication of wind turbine components during the detection period, the evaluation value of lubrication demand of wind turbine components corresponding to the detection period is obtained: Delete each type of detection value and its corresponding evaluation value element in the comprehensive evaluation matrix of lubrication of the x-th wind turbine generator component in the detection period, and obtain three intermediate matrices, namely, the temperature evaluation intermediate matrix, the noise evaluation intermediate matrix, and the surface cleanliness evaluation intermediate matrix, obtain the ranks of the temperature evaluation intermediate matrix, the noise evaluation intermediate matrix, and the surface cleanliness evaluation intermediate matrix, and compare the rank corresponding to each intermediate matrix with the preset benchmark evaluation value of the corresponding type, and average the ranks of the intermediate matrices whose ranks are greater than the preset benchmark evaluation value of the corresponding type to obtain the lubrication demand evaluation value of the x-th wind turbine generator component in the detection period; If the lubrication demand assessment value of the x-th wind turbine generator component in the detection period is greater than the preset lubrication demand assessment value, lubrication is performed.

6. A portable greasing device for wind turbine generator set according to claim 5, characterized in that: Based on the lubrication demand assessment value of the wind turbine components during the detection period, the lubrication demand of the wind turbine components corresponding to the detection period is calculated: in, is the lubrication requirement of the xth wind turbine component in the nth detection cycle, is the base lubrication requirement of the x-th wind turbine component, lg is the logarithm with base 10, β 1nx is the lubrication demand assessment value of the xth wind turbine component in the nth detection cycle, β 0nx A lubrication requirement assessment value is preset for the xth wind turbine component in the nth detection cycle.

7. A portable greasing device for wind turbine generator set according to claim 3, characterized in that: It also includes an automatic greasing module for a grease storage device, which includes: A wind turbine generator set component lubrication demand prediction matrix construction unit, used to construct a lubrication demand prediction matrix of the corresponding wind turbine generator set component based on the lubrication demand of each wind turbine generator set component in each detection cycle; A total lubrication demand obtaining unit is used to predict the total lubrication demand of the next detection cycle based on the demand prediction matrix of each wind turbine component; The addition amount calculation unit is used to determine the addition demand based on the existing grease amount in the grease storage device and the total grease demand in the next detection cycle, and automatically add grease based on the result of the addition demand determination.

8. A portable greasing device for wind turbine generator set according to claim 7, characterized in that: Based on the lubrication demand of each wind turbine component in each detection cycle, a prediction matrix of the lubrication demand of the corresponding wind turbine components is constructed: (3); where T xn is the prediction matrix of the lubrication demand of the xth wind turbine component in the nth detection cycle, is the lubrication requirement of the xth wind turbine component in the first detection cycle, is the lubrication requirement of the xth wind turbine component in the second detection cycle, is the lubrication requirement of the xth wind turbine component in the third detection cycle, is the lubrication requirement of the xth wind turbine component in the 4th detection cycle, is the lubrication requirement of the xth wind turbine component in the nth detection cycle, It is the lubrication requirement of the xth wind turbine component in the n-1th detection cycle.

9. A portable greasing device for a wind turbine generator set according to claim 8, characterized in that: Based on the demand forecast matrix of each wind turbine component, the total lubrication demand for the next inspection cycle is predicted, including: Obtain the mean of all matrix elements in the second row of the prediction matrix of the lubrication demand of the x-th wind turbine generator component in the n-th detection cycle, and set the elements in the last column of the prediction matrix of the lubrication demand of the x-th wind turbine generator component in the n-th detection cycle to a value equal to the mean of all matrix elements in the second row, thereby obtaining a new matrix of the x-th wind turbine generator component, and taking the rank of the new matrix of the x-th wind turbine generator component as the lubrication demand T of the x-th wind turbine generator component in the n+1-th detection cycle. x(n+1) ; Total lubrication requirements for all wind turbine components in the n+1th detection cycle: in, is the total lubrication demand of all wind turbine components in the n+1th detection cycle, m is the total number of lubricated components of the wind turbine, T x(n+1) It is the lubrication requirement of the xth wind turbine component in the n+1th detection cycle.

10. A portable greasing device for wind turbine generator set according to claim 9, characterized in that: The addition demand is determined based on the existing grease amount in the grease storage device and the total grease requirement in the next detection cycle, and grease is automatically added based on the result of the addition demand determination: like No fat filling is performed; like The grease storage device needs to be Amount of fat; in, is the grease storage amount of the grease storage device in the nth detection cycle, and ΔT is the reference grease compensation amount.

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