Wind power gear box oil monitoring method and device and wind generating set

Abstract

The invention provides a wind power gear box oil liquid monitoring method and device and a wind generating set, and is applied to the field of wind power gear box operation and maintaining.The method comprises the steps that firstly, information of abrasive particles in gear box oil liquid of each set is obtained, the abrasive particle index of target gear box oil liquid is calculated according to the information of the abrasive particles, and pressure data of the target gear box is obtained; the method comprises the steps of acquiring pressure data of a target gear box, calculating a target gear box pressure index according to the pressure data of the target gear box, then calculating a target gear box oil index according to a target gear box oil abrasive particle index and the target gear box pressure index, and finally determining the current state of the target gear box according to the target gear box oil index. According to the method, the gear box oil index is calculated by comprehensively considering the oil abrasive particle index and the pressure index, the current gear box state is represented based on the oil index, a basis can be provided for fault early warning of the fan gear box, fault hidden dangers can be found in time, serious faults of the gear box are avoided, and the operation and maintenance cost of a fan is effectively reduced.

Description

Technical Field

[0001] The present application relates to the field of wind power gearbox operation and maintenance, and specifically to a wind power gearbox oil monitoring method, device, and wind turbine generator set. Background Art

[0002] With the development of industrialization, environmental pollution and energy shortage are becoming increasingly prominent. Wind energy in the field of new energy is in a booming stage. The gearbox is the core component of the wind turbine. Its operating condition is directly related to the stability of the entire wind turbine system. The operating condition of the gearbox can be judged by testing the oil in the gearbox. However, wind farms are usually set up in remote locations, such as wilderness, Gobi or sea environments, and regular maintenance is difficult. Therefore, gearbox oil monitoring is particularly important.

[0003] At present, gearbox oil monitoring mainly issues early warnings based on whether the number of oil wear particles exceeds a threshold, or performs status detection based on predictive models such as machine learning and deep learning. However, the early warning threshold for monitoring the number of oil wear particles in gearboxes is difficult to determine, and the predictive model requires a large amount of historical data for training, which requires a large amount of calculation and has poor mathematical interpretability. Summary of the invention

[0004] In view of this, the present application is committed to providing a wind power gearbox oil monitoring method, device, and wind turbine generator set, which comprehensively considers the oil abrasive index and pressure index to calculate the gearbox oil index, and characterizes the current gearbox status based on the oil index. It can provide a basis for fault warning of the wind turbine gearbox, and can promptly discover hidden faults, avoid serious failures of the gearbox, and effectively reduce the operation and maintenance costs of the wind turbine.

[0005] In a first aspect, the present application provides a wind turbine gearbox oil monitoring method, comprising:

[0006] Obtain information on wear particles in the gearbox oil of each unit;

[0007] Calculating a target gearbox oil wear particle index according to the wear particle information;

[0008] Obtain pressure data of target gearbox;

[0009] Calculating a target gearbox pressure index according to the pressure data of the target gearbox;

[0010] Calculating a target gearbox oil index according to the target gearbox oil wear particle index and the target gearbox pressure index;

[0011] According to the target gearbox oil index, a current state of the target gearbox is determined.

[0012] Optionally, calculating a target gearbox oil wear particle index according to the wear particle information includes:

[0013] Calculating a single-channel abrasive index according to the abrasive information;

[0014] According to the single-channel wear index, the target gearbox oil wear index is calculated.

[0015] Optionally, the information of the abrasive particles includes the number of first abrasive particles and the trend change rate corresponding to the number of first abrasive particles within a first preset time, wherein the number of first abrasive particles includes the number in the oil of a gearbox of any unit within a second preset time;

[0016] The step of calculating a single-channel abrasive index according to the abrasive information includes:

[0017] The single-channel abrasive index is calculated according to the first abrasive particle quantity, the trend change rate corresponding to the first abrasive particle quantity within the first preset time, and the weight coefficient corresponding to the first abrasive particle quantity.

[0018] Optionally, calculating the single-channel abrasive index according to the first abrasive quantity, the trend change rate corresponding to the first abrasive quantity within the first preset time, and the weight coefficient corresponding to the first abrasive quantity includes:

[0019] According to the first number of abrasive particles, obtaining the number of abrasive particles of the first size and the first type in the gearbox oil of the target unit within the second preset time, and the sum of the numbers of abrasive particles of the first size and the first type in the gearbox oil of each unit in the same wind farm within the second preset time;

[0020] According to the trend change rate corresponding to the number of first abrasive particles within the first preset time, an average trend change rate corresponding to the number of first-size first-type abrasive particles in the gearbox oil of the target unit within the first preset time, and a sum of the average trend change rates corresponding to the number of first-size first-type abrasive particles in the gearbox oil of each unit in the same wind farm within the first preset time;

[0021] The single-channel abrasive index is calculated according to the number of first-size first-category abrasive particles in the gearbox oil of the target unit within the second preset time, the sum of the numbers of first-size first-category abrasive particles in the gearbox oil of each unit in the same wind farm within the second preset time, the average trend change rate corresponding to the number of first-size first-category abrasive particles in the gearbox oil of the target unit within the first preset time, the sum of the average trend change rates corresponding to the number of first-size first-category abrasive particles in the gearbox oil of each unit in the same wind farm within the first preset time, and the weight coefficient corresponding to the number of first-size first-category abrasive particles.

[0022] Optionally, calculating the target gearbox pressure index according to the pressure data of the target gearbox includes:

[0023] According to the cooling method of the target gearbox, the pressure data of the target gearbox under the preset state is screened;

[0024] According to the pressure data of the target gearbox in the preset state, obtaining an average trend change rate corresponding to the target gearbox pressure and an average pressure of the target gearbox;

[0025] A target gearbox pressure index is calculated according to an average trend change rate corresponding to the target gearbox pressure and an average pressure of the target gearbox.

[0026] Optionally, screening the pressure data of the target gearbox under a preset state according to the cooling method of the target gearbox includes:

[0027] When the cooling method of the target gearbox is water cooling, filter the pressure data of the target gearbox when the oil pump is turned on, the water cooling pump motor is turned off, and the oil temperature is greater than the preset oil temperature;

[0028] When the cooling method of the target gearbox is air cooling, the pressure data of the target gearbox when the oil pump is turned on, the fan is turned off, and the oil temperature is greater than the preset oil temperature is filtered.

[0029] Optionally, obtaining the average trend change rate corresponding to the target gearbox pressure and the average pressure of the target gearbox according to the pressure data of the target gearbox under the preset state includes:

[0030] Fitting a target gearbox pressure change trend curve based on the pressure data of the target gearbox under the preset state;

[0031] According to the target gearbox pressure change trend curve, the average trend change rate corresponding to the target gearbox pressure and the average pressure of the target gearbox are obtained.

[0032] Optionally, determining the current state of the target gearbox according to the target gearbox oil index includes:

[0033] When the target gearbox oil index is greater than or equal to the fault threshold, determining that the current state of the target gearbox is a fault state;

[0034] When the target gearbox oil index is greater than or equal to the alarm threshold and less than the fault threshold, determining that the current state of the target gearbox is an alarm state;

[0035] When the target gearbox oil index is less than the alarm threshold, it is determined that the current state of the target gearbox is a normal state.

[0036] In a second aspect, the present application provides a wind turbine gearbox oil monitoring device, comprising:

[0037] A data acquisition module is used to obtain information about abrasive particles in the oil of each unit gearbox; and to obtain pressure data of the target gearbox;

[0038] A data processing module, used to calculate a target gearbox oil wear particle index according to the information of the wear particles; calculate a target gearbox pressure index according to the pressure data of the target gearbox; and calculate a target gearbox oil index according to the target gearbox oil wear particle index and the target gearbox pressure index;

[0039] The state judgment module is used to determine the current state of the target gearbox according to the target gearbox oil index.

[0040] In a third aspect, the present application provides a wind turbine generator set, comprising: a wind turbine gearbox and the wind turbine gearbox oil monitoring device described in the second aspect.

[0041] Based on the above content, the wind power gearbox oil monitoring method provided by the present application first obtains the information of abrasive particles in the gearbox oil of each unit, and calculates the target gearbox oil abrasive particle index based on the abrasive particle information, obtains the pressure data of the target gearbox, and calculates the target gearbox pressure index based on the pressure data of the target gearbox, and then calculates the target gearbox oil index based on the target gearbox oil abrasive particle index and the target gearbox pressure index, and finally, determines the current state of the target gearbox based on the target gearbox oil index. The present application calculates the gearbox oil index by comprehensively considering the oil abrasive particle index and the pressure index, and characterizes the current gearbox state based on the oil index, which can provide a basis for fault warning of the wind turbine gearbox, can timely discover hidden faults, avoid serious failures of the gearbox, and effectively reduce the operation and maintenance costs of the wind turbine. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 A schematic diagram of a flow chart of a wind turbine gearbox oil monitoring method provided in an embodiment of the present application;

[0044] Figure 2 A schematic flow chart of another wind turbine gearbox oil monitoring method provided in an embodiment of the present application;

[0045] Figure 3A schematic flow chart of another wind turbine gearbox oil monitoring method provided in an embodiment of the present application;

[0046] Figure 4 A schematic flow chart of another wind turbine gearbox oil monitoring method provided in an embodiment of the present application;

[0047] Figure 5 A schematic flow chart of another wind turbine gearbox oil monitoring method provided in an embodiment of the present application;

[0048] Figure 6 A schematic flow chart of another wind turbine gearbox oil monitoring method provided in an embodiment of the present application;

[0049] Figure 7 This is a structural block diagram of a wind turbine gearbox oil monitoring device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] Unless otherwise defined, the technical terms or scientific terms used in the embodiments of this specification shall have the common meanings understood by persons with ordinary skills in the field to which this specification belongs. The words "first", "second" and similar words used in the embodiments of this specification do not indicate any order, quantity or importance, but are only used to avoid confusion of constituent elements.

[0051] Unless the context requires otherwise, throughout the specification, "plurality" means "at least two", and "including" is interpreted as an open, inclusive meaning, that is, "including, but not limited to". In the description of the specification, the terms "one embodiment", "some embodiments", "exemplary embodiments", "examples", "specific examples" or "some examples" are intended to indicate that a particular feature, structure, material or characteristic associated with the embodiment or example is included in at least one embodiment or example of the specification. The schematic representation of the above terms does not necessarily refer to the same embodiment or example.

[0052] The following will be combined with the drawings in the embodiments of this specification to clearly and completely describe the technical solutions in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this specification.

[0053] Overview

[0054] The gearbox of a wind turbine generator set is called a wind turbine gearbox. The wind turbine gearbox is the core device for wind power transmission. Its main function is to transmit the power generated by the wind wheel under the action of wind to the generator so that it reaches the corresponding speed. Therefore, the operating condition of the wind turbine gearbox is directly related to the stability of the entire wind turbine system, and the operating condition of the wind turbine gearbox can be judged by detecting the oil in the wind turbine gearbox. Therefore, monitoring the oil status of the wind turbine gearbox helps to timely and accurately understand the working status of the wind turbine gearbox, which is crucial to ensure the normal operation of the wind turbine generator set.

[0055] At present, most of the existing gearbox oil monitoring methods are to monitor the number of oil wear particles, set warning thresholds, and issue warnings when the number of wear particles exceeds the warning threshold; or perform status detection based on predictive models such as machine learning and deep learning. However, different types of wind turbines and different types of wind turbine gearboxes have different corresponding warning thresholds for monitoring the number of oil wear particles, and the warning thresholds are not easy to set; and the prediction model usually requires a lot of computing resources and time to train and predict, which is difficult to meet real-time requirements, and the training process is regarded as a "black box", and its decisions and behaviors are difficult to explain.

[0056] In order to solve the above technical problems, the present application provides a wind turbine gearbox oil monitoring method and device, which comprehensively considers the oil abrasive index and pressure index to calculate the gearbox oil index, and characterizes the current gearbox state based on the oil index, which can provide a basis for the fault warning of the wind turbine gearbox, and can timely discover the hidden faults, avoid serious faults of the gearbox, and effectively reduce the operation and maintenance costs of the wind turbine. The specific implementation scheme is described in detail below through embodiments and examples.

[0057] like Figure 1 As shown, in this exemplary embodiment, a method for monitoring oil in a wind turbine gearbox is provided, and the method may include the following steps:

[0058] S10: Obtain information on abrasive particles in the gearbox oil of each unit.

[0059] There are usually multiple wind turbines in the same wind farm, hereinafter referred to as wind turbines. The main components of the wind turbines include wind turbines, generators, gearboxes, towers, blades, control systems, converters, etc. During the operation of the gears, wear and pitting of the tooth surfaces will produce abrasive particles, which will fall into the gearbox oil under the action of gravity. Depending on whether the abrasive particles have ferromagnetic properties, the types of abrasive particles can include ferromagnetic abrasive particles and non-ferromagnetic abrasive particles. An abrasive particle sensor is set on the circulation pipeline of each gearbox, and the information of abrasive particles in the gearbox oil of each unit in the same wind farm is obtained through the abrasive particle sensor.

[0060] Before obtaining the information of abrasive particles in the gearbox oil of the unit, the data of the gearbox oil needs to be standardized. For example, according to the original data of the oil and the information provided by the oil supplier, the oil abrasive particle size is divided and the cycle for obtaining the abrasive particle information is set. For example, the cycle for obtaining the abrasive particle information is 10 minutes.

[0061] S20: Calculate the target gearbox oil abrasive index according to the abrasive information.

[0062] The information of the abrasive particles includes the number of first abrasive particles and the trend change rate of the first abrasive particle number within a first preset time. Specifically, the number of first abrasive particles includes the number of first-size first-type abrasive particles in the gearbox oil of any unit within a second preset time.

[0063] Specifically, for the first number of abrasive particles, the second preset time is a specific time length for setting the number of abrasive particles of different sizes. For example, the second preset time may be 1 day or other time lengths. The first type of abrasive particles is used to distinguish different types of abrasive particles and does not specifically refer to a certain type of abrasive particles. The first type of abrasive particles may be ferromagnetic abrasive particles or non-ferromagnetic abrasive particles. Similarly, the first size is also used to distinguish different abrasive grain sizes and does not specifically refer to a certain size. The abrasive grain size has a corresponding relationship with the abrasive grain type. Specifically, when the abrasive grain type is ferromagnetic abrasive grains, the first size (abrasive grain size) can be 0-100 μm, 100-200 μm, 200-400 μm, 400-800 μm, 800 μm or more; specifically, when the abrasive grain type is non-ferromagnetic abrasive grains, the first size (abrasive grain size) can be 0-200 μm, 200-400 μm, 400-800 μm, 800-1600 μm, 1600 μm or more. It can be understood that for wind turbines in different wind farms, different abrasive grain sizes can be divided for the abrasive grains in the gearbox oil. For example, the first abrasive grain number can be the number of ferromagnetic abrasive grains with a size of 0-100 μm in the gearbox oil of the second unit obtained in one day.

[0064] Specifically, the first preset time may be set in advance, for example, the first preset time may be 30 days or 60 days.

[0065] S30: Obtain pressure data of the target gearbox.

[0066] A circulation pipeline is installed on the gearbox. The oil inside the gearbox will be pumped out through an oil pump, flow through an external filter through a pipeline, and then pass through a radiator. The radiator can be a fan or a water cooling device, and finally return to the gearbox through a distributor. During this cycle, not only impurities in the oil are filtered, but also heat is taken away.

[0067] In some embodiments, a pressure sensor can be installed at the inlet of the filter to measure the filter inlet pressure, and a pressure sensor can be installed at the outlet of the distributor to measure the distributor outlet pressure. The pressure data of the target gearbox can be obtained by calculating the pressure difference between the filter inlet pressure and the distributor outlet pressure.

[0068] In some embodiments, a pressure sensor may be installed only at the inlet of the filter to measure the filter inlet pressure, and the filter inlet pressure is used to represent the pressure data of the target gearbox.

[0069] S40: Calculate the target gearbox pressure index according to the pressure data of the target gearbox.

[0070] S50: Calculate a target gearbox oil index according to a target gearbox oil wear index and a target gearbox pressure index.

[0071] Specifically, the calculation formula of the target gearbox oil index can be:

[0072] y=w1*y 油液 +w2*y 压力

[0073] Among them, w 1+ w2=1, w1 is greater than w2, the value of w1 is generally above 0.6, and y is the target gearbox oil index;

[0074] w1 is the weight coefficient corresponding to the target gearbox oil abrasive index;

[0075] w2 is the weight coefficient corresponding to the target gearbox pressure index;

[0076] y 油液 is the target gearbox oil wear particle index;

[0077] y 压力 is the target gearbox pressure indicator.

[0078] S60: Determine the current state of the target gearbox according to the target gearbox oil index.

[0079] When the target gearbox oil index is determined, the current state of the target gearbox can be determined based on the target gearbox oil index.

[0080] In some embodiments of the present application, the information of abrasive particles in the gearbox oil of each unit is obtained, and the target gearbox oil abrasive particle index is calculated based on the abrasive particle information, the pressure data of the target gearbox is obtained, and the target gearbox pressure index is calculated based on the pressure data of the target gearbox, and the target gearbox oil abrasive particle index and the target gearbox pressure index are used to calculate the target gearbox oil index, and the current state of the target gearbox is determined based on the target gearbox oil index. The current state of the target gearbox can provide a basis for fault warning of the wind turbine gearbox, and can timely discover hidden faults, avoid serious faults in the gearbox, and effectively reduce the operation and maintenance costs of the wind turbine.

[0081] In some embodiments of the present application, Figure 2 As shown, in S20, the specific steps of calculating the target gearbox oil wear index according to the wear information may include:

[0082] S21: Calculate the single-channel abrasive index according to the abrasive information.

[0083] According to the size and category information of the abrasive particles in the abrasive particle information, the abrasive particles can be divided into different types of abrasive particles, for example, 5 types of ferromagnetic abrasive particles of 0-100 μm, 100-200 μm, 200-400 μm, 400-800 μm, and 800 μm or more, and 5 types of non-ferromagnetic abrasive particles of 0-200 μm, 200-400 μm, 400-800 μm, 800-1600 μm, and 1600 μm or more. These 10 different types of abrasive particles correspond to different oil abrasive particle indices, which can be referred to as single-channel abrasive particle indices.

[0084] S22: Calculate the target gearbox oil wear index according to the single-channel wear index.

[0085] The single-channel abrasive index corresponding to each type of abrasive in the target gearbox oil is calculated and summed to obtain the target gearbox oil abrasive index.

[0086] Specifically, the formula for calculating the target gearbox oil wear index can be:

[0087] y 油液 =∑y i

[0088] Among them, y 油液 is the target gearbox oil wear particle index;

[0089] y i is the i-th single-channel abrasive index.

[0090] In some embodiments of the present application, the specific steps of calculating the single-channel abrasive index according to the abrasive information in S21 may include:

[0091] S211: Calculate a single-channel abrasive index according to the first abrasive quantity, the trend change rate corresponding to the first abrasive quantity within a first preset time, and the weight coefficient corresponding to the first abrasive quantity.

[0092] In some embodiments of the present application, Figure 3 As shown, in S211, the specific steps of calculating the single-channel abrasive index according to the first abrasive quantity, the trend change rate corresponding to the first abrasive quantity within the first preset time, and the weight coefficient corresponding to the first abrasive quantity may include:

[0093] S2111: According to the first abrasive particle quantity, obtain the quantity of the first-size first-category abrasive particles in the gearbox oil of the target unit within the second preset time, and the sum of the quantities of the first-size first-category abrasive particles in the gearbox oil of each unit in the same wind farm within the second preset time.

[0094] For example, a wind farm includes five units, the first type of abrasive particles are ferromagnetic abrasive particles, the first size is 0-100 μm, the second preset time is 1 day, and the target unit gearbox is the second unit gearbox, the first number of abrasive particles may include: the number of ferromagnetic abrasive particles with a size of 0-100 μm in the gearbox oil of the first unit obtained within 1 day x1, the number of ferromagnetic abrasive particles with a size of 0-100 μm in the gearbox oil of the second unit obtained within 1 day x2, the number of ferromagnetic abrasive particles with a size of 0-100 μm in the gearbox oil of the third unit obtained within 1 day x1, the number of ferromagnetic abrasive particles with a size of 0-100 μm in the gearbox oil of the third unit obtained within 1 day x2. The number of ferromagnetic abrasive particles with a size of 0 to 100 μm in the gearbox oil of the fourth unit obtained within 1 day is x3, the number of ferromagnetic abrasive particles with a size of 0 to 100 μm in the gearbox oil of the fifth unit obtained within 1 day is x4, and the number of ferromagnetic abrasive particles with a size of 0 to 100 μm in the gearbox oil of the target unit (the gearbox of the second unit) within 1 day is x2. The sum of the number of ferromagnetic abrasive particles with a size of 0 to 100 μm in the gearbox oil of the five units in the wind farm within 1 day can be obtained. 4+ x5.

[0095] S2112: According to the trend change rate corresponding to the number of first abrasive particles within the preset time, obtain the average trend change rate corresponding to the number of first-size first-type abrasive particles in the gearbox oil of the target unit within the first preset time within the preset time, and the sum of the average trend change rates corresponding to the number of first-size first-type abrasive particles in the gearbox oil of each unit in the same wind farm within the first preset time within the preset time.

[0096] The trend change rate corresponding to the number of first abrasive particles within the first preset time refers to the average trend change rate corresponding to the number of first-size first-type abrasive particles in the gearbox oil of any unit within the first preset time. In some embodiments of the present application, the average trend change rate may be an average daily trend change rate.

[0097] For example, a wind farm includes five units, the first type of abrasive particles are ferromagnetic abrasive particles, the first size is 0-100 μm, the first preset time is 30 days, and when the target unit gearbox is the gearbox of the second unit, the 0-100 μm ferromagnetic abrasive particle data obtained within 30 days are extracted, and a time-dependent 0-100 μm ferromagnetic abrasive particle quantity change trend curve is drawn in chronological order from morning to night. Before drawing the trend curve, the 0-100 μm ferromagnetic abrasive particle data can be subjected to difference processing and sliding average operations to avoid the problem of missing intermediate data. In addition, the drawn time-dependent 0-100 μm ferromagnetic abrasive particle quantity change trend curve can be subjected to low-pass filtering to obtain a smoother and more accurate time-dependent 0-100 μm ferromagnetic abrasive particle quantity change trend curve.

[0098] The trend change rate corresponding to the number of first abrasive particles within the first preset time refers to the average gradient change rate corresponding to the time-first size first type abrasive particle number change trend curve within the first preset time. For example, the trend change rate corresponding to the number of first abrasive particles within the first preset time may include obtaining the average trend change rate t1 corresponding to the number of 0-100 μm ferromagnetic abrasive particles in the gearbox oil of the first unit within 30 days, obtaining the average trend change rate t2 corresponding to the number of 0-100 μm ferromagnetic abrasive particles in the gearbox oil of the second unit within 30 days, and obtaining the average trend change rate t3 corresponding to the number of 0-100 μm ferromagnetic abrasive particles in the gearbox oil of the third unit within 30 days. The change rate t3 is obtained, and the average trend change rate t4 corresponding to the number of 0-100 μm ferromagnetic abrasive particles in the gearbox oil of the fourth unit is obtained within 30 days. The average trend change rate t5 corresponding to the number of 0-100 μm ferromagnetic abrasive particles in the gearbox oil of the fifth unit is obtained within 30 days. According to the average trend change rate corresponding to the first number of abrasive particles within the first preset time, the average trend change rate t2 corresponding to the number of 0-100 μm ferromagnetic abrasive particles in the gearbox oil of the target unit (the gearbox of the second unit) within 30 days is obtained, and the sum of the average trend change rates t corresponding to the number of 0-100 μm ferromagnetic abrasive particles in the gearbox oil of the five units of the wind farm within 30 days 1+ t 2+ t 3+ t 4+ t5.

[0099] S2113: Calculate the single-channel abrasive index based on the number of first-size first-category abrasive particles in the gearbox oil of the target unit within the second preset time, the sum of the numbers of first-size first-category abrasive particles in the gearbox oil of each unit in the same wind farm within the second preset time, the average trend change rate of the number of first-size first-category abrasive particles in the gearbox oil of the target unit within the first preset time, the sum of the average trend change rates of the number of first-size first-category abrasive particles in the gearbox oil of each unit in the same wind farm within the first preset time, and the weight coefficient corresponding to the number of first-size first-category abrasive particles.

[0100] Specifically, the formula for calculating the single-channel abrasive index is:

[0101] y i =x i *(x i / ∑x j )*t i *(t i / ∑t j )*q i

[0102] Among them, the value range of i is 1 to N, N is the number of abrasive types, the value range of j is 1 to M, M is the total number of wind farm units, and y is i It is a single-channel abrasive index;

[0103] x i is the number of abrasive particles of the first size and the first type in the gearbox oil of the target unit within the second preset time;

[0104] ∑x j is the sum of the number of abrasive particles of the first size and the first type in the gearbox oil of each unit in the same wind farm within the second preset time;

[0105] t i is the average trend change rate corresponding to the number of abrasive particles of the first size and the first type in the gearbox oil of the target unit within the first preset time within the preset time;

[0106] ∑t j is the sum of the average trend change rates corresponding to the number of abrasive particles of the first size and the first type in the gearbox oil of each unit in the same wind farm within the first preset time within the preset time;

[0107] q i is the weight coefficient corresponding to the number of the first type of abrasive particles of the first size.

[0108] q i With x i There is a corresponding relationship. Among the same type of abrasive particles, the larger the particle size, the weight coefficient q i The larger the value, the greater the ferromagnetic abrasive weight coefficient is.

[0109] When calculating the target gearbox oil abrasive particle index, the present application not only takes into account the number and size of abrasive particles in the gearbox oil of a single unit, but also takes into account the number and size of abrasive particles in the gearbox oil of other units in the same wind farm, as well as the long-term change trend of gearbox oil abrasive particles. This can not only reduce the impact of environmental and model differences, but also facilitate the determination of warning thresholds for units of different models.

[0110] In some embodiments of the present application, Figure 4As shown, in S40, the specific steps of calculating the target gearbox pressure index according to the pressure data of the target gearbox may include:

[0111] S41: Filtering pressure data of the target gearbox in a preset state according to the cooling method of the target gearbox.

[0112] There may be a variety of cooling methods for the gearbox, such as water cooling, air cooling, etc. Different preset states are set according to the cooling method of the gearbox, and the pressure data of the target gearbox under the preset state is screened according to the cooling method of the target gearbox.

[0113] In some embodiments of the present application, Figure 5 As shown, in S41, according to the cooling method of the target gearbox, the specific steps of screening the pressure data of the target gearbox under the preset state may include:

[0114] S411: When the cooling method of the target gearbox is water cooling, filter the pressure data of the target gearbox when the oil pump is turned on, the water cooling pump motor is turned off, and the oil temperature is greater than a preset oil temperature.

[0115] Among them, the oil pump can be a high-speed oil pump, and the preset oil temperature can be 45 degrees.

[0116] S412: When the cooling method of the target gearbox is air cooling, filter the pressure data of the target gearbox when the oil pump is turned on, the fan is turned off, and the oil temperature is greater than a preset oil temperature.

[0117] S42: According to the pressure data of the target gearbox in the preset state, the average trend change rate corresponding to the target gearbox pressure and the average pressure of the target gearbox are obtained. The present application selects data that can characterize the current gearbox pressure state through the cooling method of the gearbox, and obtains the gearbox pressure index by calculating the average trend change rate corresponding to the gearbox pressure and the average pressure of the gearbox, which can reflect the state of the gearbox oil from another aspect.

[0118] In some embodiments of the present application, Figure 6 As shown, in S42, according to the pressure data of the target gearbox in the preset state, the specific steps of obtaining the average trend change rate corresponding to the target gearbox pressure and the average pressure of the target gearbox may include:

[0119] S421: Fitting a target gearbox pressure change trend curve according to the pressure data of the target gearbox under a preset state.

[0120] Specifically, the pressure data of the target gearbox under a preset state for a certain time length is extracted, such as 30 days or 60 days, and is sorted in chronological order from morning to night, and a time-pressure change trend curve is drawn. Before drawing the trend curve, the pressure data can be subjected to difference processing and sliding average operation to avoid the problem of missing intermediate data. In addition, the drawn time-pressure change trend curve can be subjected to low-pass filtering to obtain a smoother and more accurate time-pressure change trend curve. S422: According to the target gearbox pressure change trend curve, the average trend change rate corresponding to the target gearbox pressure and the average pressure of the target gearbox are obtained.

[0121] The average trend change rate corresponding to the target gear box pressure may refer to an average gradient change rate corresponding to the time-pressure change trend curve within a certain length of time.

[0122] The average pressure of the target gear box may be a pressure average value calculated from a time-pressure variation trend curve.

[0123] S43: Obtain a target gearbox pressure index according to an average trend change rate corresponding to the target gearbox pressure and an average pressure of the target gearbox.

[0124] Specifically, the formula for calculating the target gearbox pressure index is:

[0125] y 压力 =t 压 *p 压

[0126] Among them, y 压力 is the target gearbox pressure index;

[0127] t 压 is the average trend change rate corresponding to the target gearbox pressure;

[0128] p 压 is the average pressure of the target gearbox.

[0129] In some embodiments of the present application, the specific steps of determining the current state of the target gearbox according to the target gearbox oil index may include:

[0130] Preset conditions are set in advance, and the preset conditions include a fault threshold and an alarm threshold. When the target gearbox oil index is determined, the current state of the target gearbox can be determined by comparing the target gearbox oil index with the preset conditions.

[0131] When the target gearbox oil index is greater than or equal to the fault threshold, the current state of the target gearbox is determined to be a fault state; when the target gearbox oil index is greater than or equal to the alarm threshold and less than the fault threshold, the current state of the target gearbox is determined to be an alarm state; when the target gearbox oil index is less than the alarm threshold, the current state of the target gearbox is determined to be a normal state.

[0132] Exemplary Devices

[0133] In some embodiments of the present application, Figure 7 As shown, a wind turbine gearbox oil monitoring device is provided, which includes: a data acquisition module 71, a data processing module 72, and a state judgment module 73, wherein

[0134] The data acquisition module 71 is used to acquire information about abrasive particles in the oil of each unit gearbox; and to acquire pressure data of the target unit gearbox.

[0135] The data processing module 72 is used to calculate the target gearbox oil abrasive index based on the abrasive information; calculate the target gearbox pressure index based on the target gearbox pressure data; and calculate the target gearbox oil index based on the target gearbox oil abrasive index and the target gearbox pressure index.

[0136] The state determination module 73 is used to determine the current state of the target gearbox according to the target gearbox oil index.

[0137] The wind turbine gearbox oil monitoring device provided in this embodiment belongs to the same application concept as the wind turbine gearbox oil monitoring method provided in the above embodiments of this application, and can execute the wind turbine gearbox oil monitoring method provided in any of the above embodiments of this application, and has the corresponding functional units and beneficial effects of the cost sharing method. For technical details not fully described in this embodiment, please refer to the specific processing content of the wind turbine gearbox oil monitoring method provided in the above embodiments of this application, and will not be repeated here.

[0138] Exemplary Electronic Devices

[0139] In some embodiments of the present application, an electronic device is provided, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, any of the above-mentioned wind turbine gearbox oil monitoring methods is implemented.

[0140] Specifically, the electronic device may further include: a bus, a communication interface, an input device and an output device. The processor, the memory, the communication interface, the input device and the output device are interconnected through the bus. The bus may include a path to transmit information between various components of the computer system.

[0141] The processor may be a general-purpose processor, such as a general-purpose central processing unit (CPU), a microprocessor, etc., or an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the program of the present application. It may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component.

[0142] The processor may include a main processor and may also include a baseband chip, a modem, etc.

[0143] The memory stores a computer program for executing the technical solution of the present application, and may also store an operating system and other key services. Specifically, the program may include a program code, and the program code includes computer operation instructions. More specifically, the memory may include a read-only memory (ROM), other types of static storage devices that can store static information and instructions, a random access memory (RAM), other types of dynamic storage devices that can store information and instructions, a disk storage, a flash, and the like.

[0144] The computer program may be written in any combination of one or more programming languages ​​to write program code for performing the operations of the embodiments of the present specification, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0145] The input device may include a device for receiving data and information input by a user, such as a keyboard, a mouse, a camera, a scanner, a light pen, a voice input device, a touch screen, a pedometer, or a gravity sensor.

[0146] Output devices may include means that allow information to be output to a user, such as display screens, printers, speakers, etc.

[0147] The communication interface may include using any transceiver or the like to communicate with other devices or communication networks, such as Ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), etc.

[0148] The processor executes the program stored in the memory and calls other devices, which can be used to implement each step of the wind turbine gearbox oil monitoring method provided in the above-mentioned embodiment of the present application.

[0149] Exemplary wind turbine generator system

[0150] In some embodiments of the present application, a wind turbine generator set is provided, comprising: a wind turbine gearbox and the above-mentioned wind turbine gearbox oil monitoring device.

[0151] Specifically, in the present application, the wind turbine generator set may be any wind turbine generator set including a wind gearbox, such as a squirrel cage wind turbine generator set, a double-fed wind turbine generator set, a semi-direct-drive permanent magnet synchronous wind turbine generator set, a permanent magnet direct-drive wind turbine generator set, etc. The present application does not specify a specific type of wind turbine generator set, and all of them belong to the protection scope of the embodiments of the present application without exceeding the technical concept of the present application.

[0152] The wind turbine gearbox of the wind turbine generator set can be selected from any one of a single-stage gearbox, a multi-stage gearbox, a planetary gearbox, a spur gearbox, a helical gearbox, etc., depending on the type of the wind turbine generator set.

[0153] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0154] Those skilled in the art will appreciate that all or part of the steps in the above method can be completed by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, etc. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits. Accordingly, each module / unit in the above embodiment can be implemented in the form of hardware or in the form of a software functional module. The present disclosure is not limited to any particular form of combination of hardware and software.

[0155] Unless otherwise defined, all terms used herein have the same meaning as commonly understood by those of ordinary skill in the art to which the present disclosure belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an idealized or highly formal sense, unless explicitly defined as such herein.

[0156] The above is an explanation of the present disclosure and should not be considered as a limitation thereof. Although several exemplary embodiments of the present disclosure are described, it will be readily understood by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present disclosure. Therefore, all such modifications are intended to be included within the scope of the present disclosure as defined in the claims. It should be understood that the above is an explanation of the present disclosure and should not be considered to be limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present disclosure is defined by the claims and their equivalents.

Claims

1. A wind turbine gearbox oil monitoring method, characterized in that: include: Obtain information on wear particles in the gearbox oil of each unit; Calculating a target gearbox oil wear particle index according to the wear particle information; Obtain pressure data of target gearbox; Calculating a target gearbox pressure index according to the pressure data of the target gearbox; Calculating a target gearbox oil index according to the target gearbox oil wear particle index and the target gearbox pressure index; According to the target gearbox oil index, a current state of the target gearbox is determined.

2. The wind turbine gearbox oil monitoring method according to claim 1, characterized in that: Calculating a target gearbox oil wear particle index according to the wear particle information includes: Calculating a single-channel abrasive index according to the abrasive information; According to the single-channel wear index, the target gearbox oil wear index is calculated.

3. The wind turbine gearbox oil monitoring method according to claim 1, characterized in that: The information of the abrasive particles includes the number of first abrasive particles and the trend change rate corresponding to the number of first abrasive particles within a first preset time, wherein the number of first abrasive particles includes the number of first-size first-type abrasive particles in the gearbox oil of any unit within a second preset time; The step of calculating a single-channel abrasive index according to the abrasive information includes: The single-channel abrasive index is calculated according to the first abrasive particle quantity, the trend change rate corresponding to the first abrasive particle quantity within the first preset time, and the weight coefficient corresponding to the first abrasive particle quantity.

4. The wind turbine gearbox oil monitoring method according to claim 3, characterized in that: The calculating of the single-channel abrasive index according to the first abrasive quantity, the trend change rate corresponding to the first abrasive quantity within the first preset time, and the weight coefficient corresponding to the first abrasive quantity includes: According to the first number of abrasive particles, obtaining the number of abrasive particles of the first size and the first type in the gearbox oil of the target unit within the second preset time, and the sum of the numbers of abrasive particles of the first size and the first type in the gearbox oil of each unit in the same wind farm within the second preset time; According to the trend change rate corresponding to the number of first abrasive particles within the first preset time, an average trend change rate corresponding to the number of first-size first-type abrasive particles in the gearbox oil of the target unit within the first preset time, and a sum of the average trend change rates corresponding to the number of first-size first-type abrasive particles in the gearbox oil of each unit in the same wind farm within the first preset time are obtained; The single-channel abrasive index is calculated based on the number of first-size first-category abrasive particles in the gearbox oil of the target unit within the second preset time, the sum of the numbers of first-size first-category abrasive particles in the gearbox oil of each unit in the same wind farm within the second preset time, the average trend change rate corresponding to the number of first-size first-category abrasive particles in the gearbox oil of the target unit within the first preset time, the sum of the average trend change rates corresponding to the number of first-size first-category abrasive particles in the gearbox oil of each unit in the same wind farm within the first preset time, and the weight coefficient corresponding to the number of first-size first-category abrasive particles.

5. The wind turbine gearbox oil monitoring method according to claim 1, characterized in that: The step of calculating the target gearbox pressure index according to the pressure data of the target gearbox comprises: According to the cooling method of the target gearbox, the pressure data of the target gearbox under the preset state is screened; According to the pressure data of the target gearbox in the preset state, obtaining an average trend change rate corresponding to the target gearbox pressure and an average pressure of the target gearbox; A target gearbox pressure index is calculated according to an average trend change rate corresponding to the target gearbox pressure and an average pressure of the target gearbox.

6. The wind turbine gearbox oil monitoring method according to claim 5, characterized in that: The step of screening the pressure data of the target gearbox under a preset state according to the cooling method of the target gearbox includes: When the cooling method of the gearbox is water cooling, filter the pressure data of the target gearbox when the oil pump is turned on, the water cooling pump motor is turned off, and the oil temperature is greater than the preset oil temperature; When the cooling method of the gearbox is air cooling, the pressure data of the target gearbox when the oil pump is turned on, the fan is turned off, and the oil temperature is greater than the preset oil temperature is filtered.

7. The wind turbine gearbox oil monitoring method according to claim 5, characterized in that: The obtaining, according to the pressure data of the target gearbox under the preset state, an average trend change rate corresponding to the target gearbox pressure and an average pressure of the target gearbox, comprises: Fitting a target gearbox pressure change trend curve according to the pressure data of the target gearbox in the preset state; According to the target gearbox pressure change trend curve, the average trend change rate corresponding to the target gearbox pressure data and the average pressure of the target gearbox are obtained.

8. The wind turbine gearbox oil monitoring method according to claim 1, characterized in that: Determining the current state of the target gearbox according to the target gearbox oil index includes: When the target gearbox oil index is greater than or equal to the fault threshold, determining that the current state of the target gearbox is a fault state; When the target gearbox oil index is greater than or equal to the alarm threshold and less than the fault threshold, determining that the current state of the target gearbox is an alarm state; When the target gearbox oil index is less than the alarm threshold, it is determined that the current state of the target gearbox is a normal state.

9. A wind turbine gearbox oil monitoring device, characterized in that: include: A data acquisition module is used to obtain information about abrasive particles in the gearbox oil of each unit; and obtaining pressure data of a target gearbox; A data processing module, used to calculate a target gearbox oil wear particle index according to the information of the wear particles; calculate a target gearbox pressure index according to the pressure data of the target gearbox; and calculate a target gearbox oil index according to the target gearbox oil wear particle index and the target gearbox pressure index; The state judgment module is used to determine the current state of the target gearbox according to the target gearbox oil index.

10. A wind turbine generator set, characterized in that: include: A wind turbine gearbox and the wind turbine gearbox oil monitoring device as claimed in claim 9.

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