Wind driven generator blade repairing method and device, controller and storage medium

Abstract

The invention provides a wind driven generator blade repairing method and device, a controller and a storage medium, and the method comprises the steps: comparing each piece of received real-time data of a target blade with each piece of normal operation data, so as to determine all abnormal real-time data; judging whether all the abnormal real-time data are generated by identifying the same position by a preset number of different types of sensor units or not; if yes, it is judged that the target blade is damaged, and the damaged part of the target blade is determined; calculating a plurality of abnormal proportion values of the abnormal real-time data and the normal operation data; determining the damage grade of the target blade and whether to release a blade repairing agent or not according to the abnormal proportion values; if it is determined that the leaf repairing agent is released, the release dosage of the leaf repairing agent is determined; the repairing agent storage mechanism is controlled to convey the leaf repairing agent to the repairing agent release unit according to the release dosage; the repairing agent releasing unit is controlled to release the blade repairing agent so as to repair the damaged part of the target blade, and the repairing efficiency of the wind driven generator blade is improved.

Description

Technical Field

[0001] The present application relates to the field of wind power generation technology, and in particular to a method, device, controller and storage medium for repairing blades of a wind turbine generator. Background Art

[0002] Wind turbines are electrical equipment that converts wind energy into mechanical work, which drives the rotor to rotate and finally outputs alternating current. The blades in wind turbines directly affect the conversion efficiency of wind energy and are an important part of wind energy utilization. However, during long-term operation, the blades of wind turbines are easily damaged by various factors, which in turn affects the use of wind turbines.

[0003] In the prior art, when a blade of a wind turbine is damaged, it is necessary to shut down the wind turbine when the damaged blade rotates downward so that maintenance personnel can manually repair the damaged portion of the blade through a hanging basket.

[0004] However, in the prior art, when maintenance personnel repair the damaged part of the blade of the wind turbine, the wind turbine needs to be shut down, which makes the repair efficiency of the damaged part of the blade low and increases the labor cost. Summary of the invention

[0005] The present application provides a wind turbine blade repair method, device, controller and storage medium to solve the problem that when maintenance personnel repair damaged parts of the wind turbine blades, the wind turbine needs to be shut down, resulting in low repair efficiency of the damaged parts and increased labor costs.

[0006] In a first aspect, the present application provides a wind turbine blade repair method, which is applied to a controller and includes:

[0007] Receiving various real-time data sent by various types of sensor units of any target blade among all blades;

[0008] Compare the real-time data with the corresponding normal operating data to determine all abnormal real-time data;

[0009] Determining whether all the abnormal real-time data are generated by a preset number of different types of sensor units identifying the same location;

[0010] If all the abnormal real-time data are generated by a preset number of different types of sensor units identifying the same position, it is determined that the target blade is damaged, and the following steps are performed:

[0011] After determining that the target blade is damaged, determining the damaged location of the target blade according to all the abnormal real-time data;

[0012] Calculate multiple abnormal ratio values ​​of each abnormal real-time data to each corresponding normal operating data among all the abnormal real-time data;

[0013] Determining a damage level of the target blade according to the multiple abnormal ratio values, and determining whether to release a blade repair agent according to the damage level;

[0014] If the blade repair agent is to be released according to the damage level, the release dosage of the blade repair agent is determined according to the damage level;

[0015] Controlling the repair agent storage mechanism to deliver the blade repair agent to the repair agent releasing unit according to the release dosage;

[0016] The repair agent releasing unit is controlled to release the blade repair agent to repair the damaged portion of the target blade.

[0017] In a possible design, the real-time data are compared with the corresponding normal operating data to determine all abnormal real-time data and the number of all abnormal real-time data, including: obtaining a preset range of each normal operating data of the target blade; determining whether any real-time data exceeds the preset range of the corresponding normal operating data; if the real-time data exceeds the preset range of the corresponding normal operating data, determining the real-time data as abnormal real-time data; and determining all abnormal real-time data and the number of all abnormal real-time data in the real-time data according to the preset range of each normal operating data.

[0018] In a possible design, the repair agent storage mechanism is a single mechanism, and the repair agent release unit includes multiple repair agent release mechanisms, and the multiple repair agent release mechanisms are evenly distributed on the target blade; the repair agent storage mechanism and the repair agent release unit are connected by a pipeline; accordingly, the repair agent storage mechanism is controlled to transport the blade repair agent to the repair agent release unit according to the release dose, including: controlling the repair agent storage mechanism to transport the blade repair agent to the repair agent release mechanism in the repair agent release unit that is closest to the damaged part of the target blade according to the release dose; accordingly, controlling the repair agent release unit to release the blade repair agent to repair the damaged part of the target blade includes: when the target blade rotates to a preset position, controlling the repair agent release mechanism that is closest to the damaged part of the target blade to release the blade repair agent to repair the damaged part of the target blade.

[0019] In a possible design, after controlling the release mechanism to release the repair agent to repair the damaged part of the target blade, it also includes: receiving the real-time data of the damaged part of the target blade sent by the various types of sensor units; judging whether the real-time data of the damaged part of the target blade exceeds the preset range of the corresponding normal operating data; if the real-time data of the damaged part of the target blade does not exceed the preset range of the corresponding normal operating data, outputting a prompt indicating that the repair is completed; if at least one real-time data of the damaged part of the target blade exceeds the preset range of the corresponding normal operating data, then when the target blade rotates to the adjustment position, controlling the repair agent release mechanism closest to the damaged part of the target blade to release the blade repair agent to repair the damaged part of the target blade until the prompt indicating that the repair is completed is output.

[0020] In a possible design, the calculation formula for calculating multiple abnormal ratio values ​​of each abnormal real-time data to each corresponding normal operating data in all the abnormal real-time data is:

[0021]

[0022] Where DIF is the abnormal ratio of any abnormal real-time data to the corresponding normal operation data; Any abnormal real-time data; It is the normal operation data corresponding to any abnormal real-time data.

[0023] In a possible design, the various types of sensor units include at least one or more of the following sensor units: a temperature sensor unit, a pressure sensor unit, a strain sensor unit, and a vibration sensor unit.

[0024] In a second aspect, the present application provides a wind turbine blade repair device, applied to a controller, comprising:

[0025] A first receiving module is used to receive various real-time data sent by various types of sensor units of any target blade among all the blades;

[0026] A comparison module, used for comparing each of the real-time data with each corresponding normal operating data to determine all abnormal real-time data;

[0027] A first judgment module is used to judge whether all abnormal real-time data are generated by a preset number of different types of sensor units identifying the same position;

[0028] A determination module is used to determine that the target blade is damaged if all the abnormal real-time data are generated by a preset number of different types of sensor units identifying the same position, and execute the following steps:

[0029] A first determination module is used to determine the damaged part of the target blade according to all the abnormal real-time data after determining that the target blade is damaged;

[0030] A calculation module, used for calculating a plurality of abnormal ratio values ​​of each abnormal real-time data to each corresponding normal operating data among all the abnormal real-time data;

[0031] a second determination module, configured to determine a damage level of the target blade according to the plurality of abnormal proportion values, and determine whether to release a blade repair agent according to the damage level;

[0032] A third determination module is used to determine the release dosage of the blade repair agent according to the damage level if the blade repair agent is determined to be released according to the damage level;

[0033] A first control module is used to control the repair agent storage mechanism to deliver the blade repair agent to the repair agent release unit according to the release dosage;

[0034] The second control module is used to control the repair agent releasing unit to release the blade repair agent to repair the damaged part of the target blade.

[0035] In a third aspect, the present application provides a wind turbine blade repair system, characterized in that it comprises: various types of sensor units, a controller, a repair agent storage mechanism and a repair agent release unit; wherein the repair agent release unit comprises the plurality of repair agent release mechanisms;

[0036] The various types of sensor units, the controller, the repair agent storage mechanism and the repair agent release unit are respectively arranged on the wind turbine blades;

[0037] Wherein, each type of sensor unit is communicatively connected with the controller;

[0038] The controller is electrically connected to the repair agent storage mechanism;

[0039] The controller is electrically connected to the plurality of repair agent releasing mechanisms in the repair agent releasing unit;

[0040] The repair agent storage mechanism is connected to the plurality of repair agent releasing mechanisms in the repair agent releasing unit through pipelines;

[0041] The controller is used to execute the wind turbine blade repair method as described in the first aspect and various possible designs of the first aspect.

[0042] In a fourth aspect, the present application provides a controller, comprising: at least one processor and a memory;

[0043] The memory stores computer-executable instructions;

[0044] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the wind turbine blade repair method as described in the first aspect and various possible designs of the first aspect.

[0045] In a fifth aspect, the present application provides a computer storage medium, in which computer execution instructions are stored. When a processor executes the computer execution instructions, the wind turbine blade repair method described in the first aspect and various possible designs of the first aspect is implemented.

[0046] In a sixth aspect, an embodiment of the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the wind turbine blade repair method as described in the first aspect and various possible designs of the first aspect.

[0047] The wind turbine blade repair method, device, controller and storage medium provided in the present application receive various real-time data sent by various types of sensor units of the target blade; determine all abnormal real-time data in each real-time data; if all abnormal real-time data are generated by a preset number of different types of sensors identifying the same position, it is determined that the target blade is damaged and the damaged part of the target blade is determined; calculate multiple abnormal ratio values ​​of each abnormal real-time data and each normal operation data; determine the damage level of the target blade according to the multiple abnormal ratio values, and determine whether to release a blade repair agent; if the blade repair agent is released, determine the release dosage of the blade repair agent according to the damage level; control the repair agent storage mechanism to transport the blade repair agent to the repair agent release unit for release according to the release dosage to repair the damaged part of the target blade, so as to make the wind turbine blade repair more intelligent, improve the repair efficiency, and reduce labor costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. 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 labor.

[0049] Figure 1 A schematic diagram of an application scenario of a wind turbine blade repair method provided in an embodiment of the present application;

[0050] Figure 2 Schematic diagram of the wind turbine blade repair method provided in the embodiment of the present application Figure 1;

[0051] Figure 3 Schematic diagram of the wind turbine blade repair method provided in the embodiment of the present application Figure 2 ;

[0052] Figure 4 A schematic diagram of the structure of a wind turbine blade repair device provided in an embodiment of the present application;

[0053] Figure 5 A schematic diagram of the hardware structure of the controller provided in the embodiment of the present application;

[0054] Figure 6 Schematic diagram of a wind turbine blade repair system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0056] A wind turbine is generally composed of components such as a wind rotor, blades, a generator, a rectifier, a tower, a speed limit safety mechanism, and an energy storage device. A wind turbine is an electrical device that converts wind energy into mechanical work, which drives the rotor to rotate and ultimately outputs alternating current. The blades in a wind turbine directly affect the conversion efficiency of wind energy and are an important part of wind energy utilization. However, during long-term operation, the blades of a wind turbine are easily damaged by various factors, which in turn affects the use of the wind turbine. In the prior art, when the blades of a wind turbine are damaged, it is necessary to shut down the wind turbine when the damaged blade rotates to the bottom, so that maintenance personnel can manually repair the damaged part of the blade through a hanging basket. However, in the prior art, when maintenance personnel repair the damaged part of the blade of a wind turbine, it is necessary to shut down the wind turbine, which makes the repair efficiency of the damaged part of the blade low and increases labor costs.

[0057] In order to solve the above technical problems, the embodiments of the present application propose the following technical concepts: Taking into account the low efficiency of manual repair of wind turbine blades, the inventor collects real-time data of the blades based on various types of sensors, and uses the collected real-time data to determine all abnormal real-time data; after determining that the blade is damaged based on all abnormal real-time data, the damaged part of the blade is determined, and the damaged part is repaired by controlling the repair agent storage mechanism and the repair agent release unit, so that the wind turbine blade repair is more intelligent, the repair efficiency is improved, and the labor cost is reduced.

[0058] Figure 1 It is a schematic diagram of an application scenario of the wind turbine blade repair method provided in an embodiment of the present application.

[0059] like Figure 1 As shown, the scene includes: various types of sensor units 101 , a controller 102 , a repair agent storage mechanism 103 and a repair agent releasing unit 104 .

[0060] The various types of sensor units 101 include one or more of a temperature sensor unit 1011 , a pressure sensor unit 1012 , a strain sensor unit 1013 and a vibration sensor unit 1014 .

[0061] The temperature sensor unit 1011 may be an independent sensor or a cluster consisting of a plurality of sensors evenly distributed on each blade.

[0062] The pressure sensor unit 1012 may be an independent sensor or a cluster consisting of a plurality of sensors evenly distributed on each blade.

[0063] The strain sensor unit 1013 may be an independent sensor or a cluster consisting of a plurality of sensors evenly distributed on each blade.

[0064] The vibration sensor unit 1014 may be an independent sensor or a cluster consisting of a plurality of sensors evenly distributed on each blade.

[0065] The controller 102 may be an independent controller or a cluster consisting of multiple controllers.

[0066] The repair agent storage mechanism 103 may be an independent storage mechanism or a cluster composed of multiple storage mechanisms.

[0067] The repair agent releasing unit 104 is a cluster composed of a plurality of releasing mechanisms, and the repair agent storage mechanism 103 is connected to the repair agent releasing unit 104 through a pipeline.

[0068] Various types of sensor units 101, controller 102, repair agent storage mechanism 103 and repair agent release unit 104

[0069] Each type of sensor unit 101 transmits each real-time data mark of the target blade to the controller 102 through a wireless network. The controller 102 determines all abnormal real-time data of the target blade according to each real-time data, and after determining that the target blade is damaged according to all abnormal real-time data, determines the damaged part corresponding to the target blade and the release dose of the blade repair agent; controls the repair agent storage mechanism 103 and the repair agent release unit 104 to release the blade repair agent of the determined release dose to repair the damaged part of the target blade. The following is a detailed description using a detailed embodiment.

[0070] Figure 2 Schematic diagram of the wind turbine blade repair method provided in the embodiment of the present application Figure 1 , the execution subject of this embodiment can be Figure 1 The controller in the embodiment shown is not particularly limited in this embodiment. Figure 2 As shown, the method includes:

[0071] S201: receiving various real-time data sent by various types of sensor units of any target blade among all blades.

[0072] In this embodiment, each type of sensor unit includes at least one or more of the following sensor units: a temperature sensor unit, a pressure sensor unit, a strain sensor unit, and a vibration sensor unit.

[0073] The temperature sensor unit includes one temperature sensor, or a plurality of temperature sensors evenly distributed on the target blade; the temperature sensor may be an infrared thermal imager or other sensors.

[0074] The temperature sensor is used to measure the temperature of the target blade. If the temperature of a part of the target blade is overheated or abnormal (the temperature continues to change), it may mean that there is a crack or loose connection problem in that part.

[0075] The pressure sensor unit includes one pressure sensor, or a plurality of pressure sensors evenly distributed on the target blade.

[0076] The pressure sensor is used to measure the pressure change of the target blade. When the target blade rotates, the force of the ambient fluid will act on the blade surface, causing a pressure change on the blade.

[0077] The strain sensor unit includes one strain sensor or a plurality of strain sensors uniformly distributed on the target blade; the strain sensor may be a fiber grating sensor or other sensors.

[0078] Strain sensors are usually installed on the surface of the target blade or embedded in the target blade layer, and can indirectly detect damage to the target blade structure through blade expansion or contraction caused by temperature changes or strain changes.

[0079] The vibration sensor unit includes one vibration sensor, or a plurality of vibration sensors evenly distributed on the target blade.

[0080] The vibration sensor is used to detect the part of the target blade that is vibrating abnormally (may be cracked or damaged).

[0081] The real-time data received from the temperature sensor unit, pressure sensor unit, strain sensor unit and vibration sensor unit of any target blade among all blades are:

[0082] The real-time temperature data (real-time outdoor temperature is 26℃) is that the upper left part of the target leaves are all 26.1℃, most of the leaves in the upper middle part are 26℃, and some parts are 35℃, all the leaves in the upper right part are 26℃, all the leaves in the lower left part are 26.1℃, all the leaves in the lower middle part are 26.1℃, and all the leaves in the lower right part are 26℃.

[0083] The real-time pressure data shows that the air pressure in all areas of the target blade is close to 1.013×10 5 Pa.

[0084] The strain sensors did not measure significant expansion in all areas of the target blade when the air temperature rose during midday.

[0085] The real-time vibration data is that the horizontal vibration values ​​of the upper left blade, upper right blade, lower left blade, lower middle blade, and lower right blade of the target blade are within 0.2mm, and the vertical vibration values ​​are within 0.15mm. The horizontal vibration values ​​of most of the upper middle blades are within 0.2mm, and the vertical vibration values ​​are within 0.15mm. The local horizontal vibration values ​​are within 0.3mm, and the vertical vibration values ​​are within 0.15mm.

[0086] S202: Compare each real-time data with each corresponding normal operation data to determine all abnormal real-time data.

[0087] Specifically, step S202 includes:

[0088] S2021: Obtain a preset range of each normal operating data of the target blade.

[0089] For example, the preset ranges of normal operating data are: the temperature range of the target blade is [26°C, 27°C], the pressure range of the target blade is [0.95×10 5 Pa, 1.55×10 5Pa], the target blade should have no obvious strain, and the horizontal vibration value of the target blade should be ±0.2mm, and the vertical vibration value should be ±0.15mm.

[0090] S2022: Determine whether any real-time data exceeds a preset range of corresponding normal operating data.

[0091] S2023: If the real-time data exceeds a preset range of the corresponding normal operating data, the real-time data is determined as abnormal real-time data.

[0092] S2024: Determine all abnormal real-time data in each real-time data according to a preset range of each normal operating data.

[0093] Exemplarily, all abnormal real-time data in each real-time data and the number of all abnormal real-time data are determined as follows: the abnormal real-time data is a local temperature of 35° C. and a local horizontal vibration value of 0.3 mm for the target blade.

[0094] S203: Determine whether all abnormal real-time data are generated by a preset number of different types of sensor units identifying the same position.

[0095] In this embodiment, the preset number may be any number of 1, 2, 3 or 4, or a combination of the above multiple numbers.

[0096] Exemplarily, it is determined whether the local temperature of the target blade is 35° C. and the local horizontal vibration value is 0.3 mm, which are generated by two sensors identifying the same position.

[0097] S204: If all abnormal real-time data are generated by a preset number of different types of sensor units identifying the same position, it is determined that the target blade is damaged, and the following steps are performed:

[0098] S2041: After determining that the target blade is damaged, determine the damaged location of the target blade based on all abnormal real-time data.

[0099] Exemplarily, after determining that the target blade is damaged, the portion of the target blade corresponding to a local temperature of 35° C. and a local horizontal vibration value of 0.3 mm is determined as the damaged portion of the target blade.

[0100] S2042: Calculate multiple abnormal ratio values ​​of each abnormal real-time data to the corresponding normal operation data in all abnormal real-time data.

[0101] In this embodiment, the calculation formula for calculating multiple abnormal ratio values ​​of each abnormal real-time data and each corresponding normal operating data in all abnormal real-time data is:

[0102]

[0103] Where DIF is the abnormal ratio of any abnormal real-time data to the corresponding normal operation data; Any abnormal real-time data; It is the normal operation data corresponding to any abnormal real-time data.

[0104] Exemplarily, the abnormal ratio value of the local temperature of 35° C. in the middle and upper part of the target blade and the normal temperature of 26° C. in the middle and upper part is calculated as:

[0105]

[0106] The abnormal ratio value of the local horizontal vibration value of 0.3mm in the middle and upper part of the target blade and the normal horizontal vibration value of 0.2mm in the middle and upper part is calculated as follows:

[0107]

[0108] S2043: Determine the damage level of the target blade according to the multiple abnormal ratio values, and determine whether to release the blade repair agent according to the damage level.

[0109] In this embodiment, the blade repair agent may be a repair agent containing graphene oxide, or may be other repair agents.

[0110] In this embodiment, the damage level of the target blade can be divided into any one of 3 levels, 5 levels or 6 levels.

[0111] For example, when the damage level of the target blade is low damage, relatively low damage, medium damage, relatively high damage and severe damage, specifically:

[0112] When all abnormal proportion values ​​are in [0, 10%], the damage level of the target blade is low-level damage, and there is no need to release the blade repair agent;

[0113] When the abnormal proportion values ​​are all at (10%, 20%], the damage level of the target blade is low damage, and the blade repair agent needs to be released for blade repair;

[0114] When the abnormal ratio values ​​are all at (20%, 30%], the damage level of the target blade is intermediate damage, and the blade repair agent needs to be released for blade repair;

[0115] When the abnormal ratio values ​​are all at (30%, 40%], the damage level of the target blade is high damage, and the blade repair agent needs to be released for blade repair;

[0116] When all abnormal proportion values ​​are at (40%, 50%], the damage level of the target blade is severe damage, and the blade repair agent needs to be released for blade repair.

[0117] It should be noted that if the abnormal ratio values ​​are in different ranges, the one with the highest damage level will be processed.

[0118] Exemplarily, DIF1=35%, which is within the range of [30%, 40%], the damage level of the target blade is high damage, and it is necessary to release the blade repair agent for blade repair; DIF2=50%, which is within the range of [40%, 50%], the damage level of the target blade is severe damage, and it is necessary to release the blade repair agent for blade repair. Therefore, the damage level of the target blade is severe damage, and it is necessary to release the blade repair agent for blade repair.

[0119] S2044: If it is determined to release the blade repair agent based on the damage level, the release dosage of the blade repair agent is determined based on the damage level.

[0120] Exemplarily, lower damage requires the release of 500 mL of blade repair agent; intermediate damage requires the release of 1000 mL of blade repair agent; higher damage requires the release of 1500 mL of blade repair agent; severe damage requires the release of 2000 mL of blade repair agent.

[0121] Exemplarily, the local damage of the target blade is severe damage, and 2000 mL of the blade repair agent needs to be released.

[0122] S2045: Control the repair agent storage mechanism to deliver the blade repair agent to the repair agent releasing unit according to the release dosage.

[0123] In this embodiment, the repair agent storage mechanism is a single mechanism, the repair agent release unit includes a plurality of repair agent release mechanisms, and the plurality of repair agent release mechanisms are evenly distributed on the target blade; the repair agent storage mechanism is connected to the repair agent release unit by a pipeline; accordingly, step S2045 is specifically as follows:

[0124] The repair agent storage mechanism is controlled to deliver the blade repair agent to the repair agent releasing mechanism in the repair agent releasing unit that is closest to the damaged part of the target blade according to the released dosage.

[0125] Exemplarily, the repair agent storage mechanism is controlled to deliver the blade repair agent to the repair agent releasing mechanism 1 in the repair agent releasing unit that is closest to the damaged part of the target blade according to a release dosage of 2000 mL.

[0126] S2046: Control the repair agent releasing unit to release the blade repair agent to repair the damaged part of the target blade.

[0127] In this embodiment, based on step S2045, step S2046 is specifically as follows: when the target blade rotates to a preset position, the repair agent release mechanism closest to the damaged part of the target blade is controlled to release the blade repair agent to repair the damaged part of the target blade.

[0128] In this embodiment, the preset position may be vertically downward or other positions.

[0129] Exemplarily, when the target blade rotates to be vertically downward, the repair agent releasing mechanism 1 is controlled to release the blade repair agent to repair the damaged portion of the target blade through the action of gravity.

[0130] In summary, the wind turbine blade repair method provided in the present embodiment receives various real-time data sent by various types of sensor units of the target blade; determines all abnormal real-time data in each real-time data; if all abnormal real-time data are generated by a preset number of different types of sensors identifying the same position, it is determined that the target blade is damaged, and the damaged part of the target blade is determined; calculates multiple abnormal ratio values ​​of each abnormal real-time data and each normal operating data; determines the damage level of the target blade according to the multiple abnormal ratio values, and determines whether to release a blade repair agent; if the blade repair agent is released, determines the release dosage of the blade repair agent according to the damage level; controls the repair agent storage mechanism to transport the blade repair agent to the repair agent release unit for release according to the release dosage, so as to repair the damaged part of the target blade, thereby making the wind turbine blade repair more intelligent, improving the repair efficiency, and reducing labor costs.

[0131] In addition, the present application further avoids further losses by monitoring blade damage in real time and automatically performing repairs when necessary.

[0132] In addition, by using smart coating materials, this application helps to extend the service life of blades and reduce the need for blade replacement, which has positive significance for the development of sustainable energy.

[0133] Figure 3 Schematic diagram of the wind turbine blade repair method provided in the embodiment of the present application Figure 2 In the embodiment of the present application, Figure 2 Based on the embodiment provided, the detection of the repair of the damaged part of the target blade after step S2046 is described in detail. Figure 3 As shown, the method includes:

[0134] S301: receiving various real-time data sent by various types of sensor units of any target blade among all blades.

[0135] In this embodiment, the discussion on various types of sensor units has been described in detail in step S201 and will not be repeated here.

[0136] S302: Compare each real-time data with each corresponding normal operation data to determine all abnormal real-time data.

[0137] In this embodiment, the discussion on determining all abnormal real-time data has been described in detail in step S202, which will not be repeated here.

[0138] S303: Determine whether the number of all abnormal real-time data is generated by a preset number of different types of sensor units identifying the same position.

[0139] In this embodiment, the discussion on the preset number has been described in detail in step S203 and will not be repeated here.

[0140] S304: If all abnormal real-time data are generated by a preset number of different types of sensor units identifying the same position, it is determined that the target blade is damaged, and the following steps are performed:

[0141] S3041: After determining that the target blade is damaged, determine the damaged location of the target blade based on all abnormal real-time data.

[0142] In this embodiment, the discussion on determining the damaged location of the target blade has been described in detail in step S2041 and will not be repeated here.

[0143] S3042: Calculate multiple abnormal ratio values ​​of each abnormal real-time data to the corresponding normal operation data in all abnormal real-time data.

[0144] In this embodiment, the discussion on calculating multiple abnormality ratio values ​​has been described in detail in step S2042 and will not be repeated here.

[0145] S3043: Determine the damage level of the target blade according to the multiple abnormal ratio values, and determine whether to release the blade repair agent according to the damage level.

[0146] In this embodiment, the discussion on the damage level of the target blade and the blade repair agent has been described in detail in step S2043, and will not be repeated here.

[0147] S3044: If it is determined to release the blade repair agent based on the damage level, the release dosage of the blade repair agent is determined based on the damage level.

[0148] In this embodiment, the discussion on the release dosage of the blade repair agent has been described in detail in step S2044 and will not be repeated here.

[0149] S3045: Control the repair agent storage mechanism to deliver the blade repair agent to the repair agent release mechanism in the repair agent release unit that is closest to the damaged part of the target blade according to the release dosage.

[0150] In this embodiment, the discussion on the repair agent storage mechanism and the repair agent release mechanism has been described in detail in step S2045 and will not be repeated here.

[0151] S3046: When the target blade rotates to a preset position, the repair agent releasing mechanism closest to the damaged portion of the target blade is controlled to release the blade repair agent to repair the damaged portion of the target blade.

[0152] In this embodiment, the discussion about step S4046 has been described in detail in step S2046 and will not be repeated here.

[0153] S3047: Receive various real-time data of the damaged parts of the target blade sent by various types of sensor units.

[0154] Specifically, the real-time temperature data, pressure data, strain data and vibration data of the damaged part of the target blade sent by the temperature sensor unit, the pressure sensor unit, the strain sensor unit and the vibration sensor unit are received.

[0155] S3048: Determine whether the real-time data of the damaged part of the target blade exceeds the preset range of the corresponding normal operating data.

[0156] Specifically, determine whether the real-time temperature data, real-time pressure data, real-time strain data and real-time vibration data exceed the temperature range of the target blade, the pressure range of the target blade, whether the target blade has obvious strain and the vibration range of the target blade respectively.

[0157] S3049: If the real-time data of the damaged part of the target blade does not exceed the preset range of the corresponding normal operating data, a prompt indicating that the repair is completed is output; if at least one real-time data of the damaged part of the target blade exceeds the preset range of the corresponding normal operating data, when the target blade is rotated to the adjustment position, the repair agent releasing mechanism closest to the damaged part of the target blade is controlled to release the blade repair agent to repair the damaged part of the target blade until a prompt indicating that the repair is completed is output.

[0158] In this embodiment, the prompt of repair completion can be any prompt in voice, indicator light or wireless wave, or other prompts.

[0159] In this embodiment, if at least one real-time data of the damaged part of the target blade exceeds the preset range of the corresponding normal operating data, it means that the repair of the target blade is not completed, and it is necessary to adjust the rotation position of the target blade according to external environmental factors (strong wind and rain and snow factors) so that the blade repair agent can reach the damaged part of the target blade.

[0160] In summary, the wind turbine blade repair method provided in the present embodiment receives various real-time data of the damaged part of the target blade sent by various types of sensor units, and determines whether it exceeds the preset range of each normal operating data; if the real-time data of the damaged part of the target blade does not exceed the preset range of each corresponding normal operating data, a prompt indicating that the repair is completed is output; if at least one real-time data of the damaged part of the target blade exceeds the preset range of the corresponding normal operating data, then when the target blade is rotated to the adjustment position, the repair agent release mechanism closest to the damaged part of the target blade is controlled to release the blade repair agent to repair the damaged part of the target blade until a prompt indicating that the repair is completed is output. By repairing and detecting the damaged part of the target blade, the overall stability and reliability of the wind turbine are improved.

[0161] It should be noted that the blade repair agent should be suitable for compatibility with the smart coating material on the blade surface and effectively restore the structure and performance of the blade after curing. Adequate laboratory tests and field tests should be carried out to verify the feasibility and effectiveness of the repair agent.

[0162] Figure 4 This is a schematic diagram of the structure of the wind turbine blade repair device provided in the embodiment of the present application. Figure 4 As shown, the wind turbine blade repair device includes: a first receiving module 401, a comparison module 402, a first judgment module 403, a determination module 404, a first determination module 405, a calculation module 406, a second determination module 407, a third determination module 408, a first control module 409 and a second control module 410.

[0163] The first receiving module 401 is used to receive various real-time data sent by various types of sensor units of any target blade among all the blades;

[0164] A comparison module 402 is used to compare the real-time data with the corresponding normal operation data to determine all abnormal real-time data;

[0165] A first judgment module 403 is used to judge whether all abnormal real-time data are generated by a preset number of different types of sensor units identifying the same position;

[0166] The determination module 404 is configured to determine that the target blade is damaged if all the abnormal real-time data are generated by a preset number of different types of sensor units identifying the same position, and execute the following steps:

[0167] A first determination module 405 is used to determine the damaged part of the target blade according to all the abnormal real-time data after determining that the target blade is damaged;

[0168] A calculation module 406 is used to calculate a plurality of abnormal ratio values ​​of each abnormal real-time data to each corresponding normal operation data in all the abnormal real-time data;

[0169] A second determination module 407 is used to determine the damage level of the target blade according to the multiple abnormal proportion values, and determine whether to release the blade repair agent according to the damage level;

[0170] A third determination module 408 is configured to determine a release dosage of the blade repair agent according to the damage level if the blade repair agent is to be released according to the damage level;

[0171] A first control module 409 is used to control the repair agent storage mechanism to deliver the blade repair agent to the repair agent release unit according to the release dosage;

[0172] The second control module 410 is used to control the repair agent releasing unit to release the blade repair agent to repair the damaged part of the target blade.

[0173] In a possible implementation, the comparison module 402 specifically includes:

[0174] An acquisition unit 4021 is used to acquire a preset range of each normal operating data of the target blade;

[0175] The judging unit 4022 is used to judge whether any real-time data exceeds a preset range of corresponding normal operating data;

[0176] A first determining unit 4023, configured to determine the real-time data as abnormal real-time data if the real-time data exceeds a preset range of corresponding normal operating data;

[0177] The second determining unit 4024 is used to determine all abnormal real-time data and the quantity of all abnormal real-time data in the real-time data according to a preset range of the normal operating data.

[0178] In a possible implementation, the repair agent storage mechanism is a single mechanism, and the repair agent release unit includes multiple repair agent release mechanisms, and the multiple repair agent release mechanisms are evenly distributed on the target blade; the repair agent storage mechanism and the repair agent release unit are connected by a pipeline; accordingly, the first control module 409 is specifically used to: control the repair agent storage mechanism to transport the blade repair agent to the repair agent release mechanism in the repair agent release unit that is closest to the damaged part of the target blade according to the release dose; accordingly, the second control module 410 is specifically used to: when the target blade rotates to a preset position, control the repair agent release mechanism that is closest to the damaged part of the target blade to release the blade repair agent to repair the damaged part of the target blade.

[0179] In a possible implementation manner, the device further includes:

[0180] The second receiving module 411 is used to receive the real-time data of the damaged part of the target blade sent by the various types of sensor units;

[0181] The second judgment module 412 is used to judge whether the real-time data of the damaged part of the target blade exceeds the preset range of the corresponding normal operating data;

[0182] The output module 413 is used to output a prompt indicating that the repair is completed if the real-time data of the damaged part of the target blade does not exceed the preset range of the corresponding normal operating data; if at least one real-time data of the damaged part of the target blade exceeds the preset range of the corresponding normal operating data, then when the target blade is rotated to the adjustment position, the repair agent releasing mechanism closest to the damaged part of the target blade is controlled to release the blade repair agent to repair the damaged part of the target blade until the prompt indicating that the repair is completed is output.

[0183] In a possible implementation, the calculation formula for calculating multiple abnormal ratio values ​​of each abnormal real-time data to each corresponding normal operating data in all the abnormal real-time data is:

[0184]

[0185] Where DIF is the abnormal ratio of any abnormal real-time data to the corresponding normal operation data; Any abnormal real-time data; It is the normal operation data corresponding to any abnormal real-time data.

[0186] In a possible implementation manner, the various types of sensor units include at least one or more of the following sensor units: a temperature sensor unit, a pressure sensor unit, a strain sensor unit, and a vibration sensor unit.

[0187] The device provided in this embodiment can be used to execute the technical solution of the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be repeated here.

[0188] Figure 5 The hardware structure diagram of the controller provided in the embodiment of the present application is shown in FIG. Figure 5 As shown, the controller of this embodiment includes: a processor 501 and a memory 502; the memory stores computer-executable instructions; at least one processor executes the computer-executable instructions stored in the memory, so that at least one processor executes the above wind turbine blade repair method.

[0189] Optionally, the memory 502 may be independent or integrated with the processor 501 .

[0190] When the memory 502 is independently provided, the controller further includes a bus 503 for connecting the memory 502 and the processor 501 .

[0191] Figure 6 Schematic diagram of a wind turbine blade repair system provided in an embodiment of the present application. Figure 6 As shown, the wind turbine blade repair system includes: various types of sensor units 101, a controller 102, a repair agent storage mechanism 103 and a repair agent release unit 104; wherein the repair agent release unit 104 includes a plurality of repair agent release mechanisms.

[0192] Each type of sensor unit 101 , controller 102 , repair agent storage mechanism 103 and repair agent release unit 104 are respectively arranged on the wind turbine blade.

[0193] In this embodiment, the various types of sensor units 101 include a temperature sensor unit 1011 , a pressure sensor unit 1012 , a strain sensor unit 1013 , and a vibration sensor unit 1014 .

[0194] The temperature sensor unit 1011 may be a temperature sensor or a collection of multiple temperature sensors, and is used to collect the real-time temperature of the target blade.

[0195] If the temperature sensor unit 1011 is a collection of multiple temperature sensors, the multiple temperature sensors are evenly distributed on the target blade.

[0196] The pressure sensor unit 1012 may be a single pressure sensor or a collection of multiple pressure sensors, and is used to collect the real-time pressure of the target blade.

[0197] If the pressure sensor unit 1012 is a collection of multiple pressure sensors, the multiple pressure sensors are evenly distributed on the target blade.

[0198] The strain sensor unit 1013 may be a strain sensor or a collection of multiple strain sensors to collect the real-time strain of the target blade.

[0199] If the strain sensor unit 1013 is a collection of multiple strain sensors, the multiple strain sensors are evenly distributed on the target blade.

[0200] The vibration sensor unit 1014 may be a single vibration sensor or a collection of multiple vibration sensors to collect the real-time vibration of the target blade.

[0201] If the vibration sensor unit 1014 is a collection of multiple vibration sensors, the multiple vibration sensors are evenly distributed on the target blade.

[0202] In this embodiment, the controller 102 may be installed on the target blade or at other locations of the wind turbine.

[0203] In this embodiment, the repair agent storage mechanism 103 can be installed at the tail end of the target blade, or can be installed at other positions of other target blades.

[0204] In this embodiment, the plurality of repair agent releasing mechanisms in the repair agent releasing unit 104 are evenly distributed on the target blade.

[0205] Each type of sensor unit 101 is communicatively connected with the controller 102 .

[0206] In this embodiment, the controller 102 is used to receive various real-time data sent by various types of sensor units 101 of the target blade.

[0207] The controller 102 is electrically connected to the repair agent storage mechanism 103 .

[0208] In this embodiment, the controller 102 is used to control the repair agent storage mechanism 103 to release the blade repair agent to the repair agent releasing unit 104 .

[0209] The controller 102 is electrically connected to a plurality of repair agent releasing mechanisms in the repair agent releasing unit 104 .

[0210] In this embodiment, the controller 102 is used to control one or more repair agent releasing mechanisms in the repair agent releasing unit 104 to release the blade repair agent.

[0211] The repair agent storage mechanism 103 is connected to a plurality of repair agent releasing mechanisms in the repair agent releasing unit 104 via pipelines.

[0212] In this embodiment, the repair agent storage mechanism 103 is used to transport the blade repair agent to the multiple repair agent releasing mechanisms in the repair agent releasing unit 104 .

[0213] In summary, the wind turbine blade repair system provided in this embodiment makes the wind turbine blade repair more intelligent, improves the repair efficiency, and reduces the labor cost through the controller 102, which is communicatively connected with various types of sensor units 101; the controller 102 is electrically connected with the repair agent storage mechanism 103; the controller 102 is electrically connected with multiple repair agent release mechanisms in the repair agent release unit 104; and the repair agent storage mechanism 103 is connected with multiple repair agent release mechanisms in the repair agent release unit 104 through pipelines.

[0214] The embodiment of the present application further provides a computer storage medium, in which computer execution instructions are stored. When a processor executes the computer execution instructions, the wind turbine blade repair method as described above is implemented.

[0215] An embodiment of the present application further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the wind turbine blade repair method as described above is implemented.

[0216] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0217] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to implement the solution of this embodiment.

[0218] In addition, each functional module in each embodiment of the present application can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The above-mentioned module-composed unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

[0219] The above-mentioned integrated module implemented in the form of a software function module can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the method described in each embodiment of the present application.

[0220] It should be understood that the above processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the invention can be directly embodied as being executed by a hardware processor, or can be executed by a combination of hardware and software modules in the processor.

[0221] The memory may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk memory, and may also be a USB flash drive, a mobile hard disk, a read-only memory, a magnetic disk or an optical disk, etc.

[0222] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of this application is not limited to only one bus or one type of bus.

[0223] The above storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The storage medium may be any available medium that can be accessed by a general or special purpose computer.

[0224] An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the storage medium can also exist as discrete components in an electronic device or a main control device.

[0225] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0226] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for repairing a wind turbine blade, characterized in that: Controllers for any wind turbine, including: Receiving various real-time data sent by various types of sensor units of any target blade among all blades; Compare the real-time data with the corresponding normal operating data to determine all abnormal real-time data; Determining whether all the abnormal real-time data are generated by a preset number of different types of sensor units identifying the same location; If all the abnormal real-time data are generated by a preset number of different types of sensor units identifying the same position, it is determined that the target blade is damaged, and the following steps are performed: After determining that the target blade is damaged, determining the damaged location of the target blade according to all the abnormal real-time data; Calculate multiple abnormal ratio values ​​of each abnormal real-time data to each corresponding normal operating data among all the abnormal real-time data; Determining a damage level of the target blade according to the multiple abnormal ratio values, and determining whether to release a blade repair agent according to the damage level; If the blade repair agent is to be released according to the damage level, the release dosage of the blade repair agent is determined according to the damage level; Controlling the repair agent storage mechanism to deliver the blade repair agent to the repair agent releasing unit according to the release dosage; The repair agent releasing unit is controlled to release the blade repair agent to repair the damaged portion of the target blade.

2. The method according to claim 1, characterized in that The comparing each of the real-time data with each of the corresponding normal operating data to determine all abnormal real-time data and the quantity of all abnormal real-time data includes: Acquire a preset range of each normal operating data of the target blade; Determine whether any real-time data exceeds the preset range of the corresponding normal operating data; If the real-time data exceeds a preset range of the corresponding normal operating data, the real-time data is determined as abnormal real-time data; According to the preset range of each normal operating data, all abnormal real-time data in each real-time data and the quantity of all abnormal real-time data are determined.

3. The method according to claim 1, characterized in that The repair agent storage mechanism is a single mechanism, the repair agent release unit includes a plurality of repair agent release mechanisms, and the plurality of repair agent release mechanisms are evenly distributed on the target blade; the repair agent storage mechanism is connected to the repair agent release unit by a pipeline; Correspondingly, the controlling repair agent storage mechanism delivers the blade repair agent to the repair agent releasing unit according to the release dosage, including: Controlling the repair agent storage mechanism to deliver the blade repair agent to the repair agent release mechanism in the repair agent release unit that is closest to the damaged part of the target blade according to the release dosage; Accordingly, controlling the repair agent releasing unit to release the blade repair agent to repair the damaged portion of the target blade includes: When the target blade rotates to a preset position, the repair agent releasing mechanism closest to the damaged part of the target blade is controlled to release the blade repair agent to repair the damaged part of the target blade.

4. The method according to claim 3, characterized in that After controlling the release mechanism to release the repair agent to repair the damaged part of the target blade, the method further includes: Receiving various real-time data of the damaged part of the target blade sent by the various types of sensor units; Determine whether each real-time data of the damaged part of the target blade exceeds a preset range of each corresponding normal operating data; If the real-time data of the damaged part of the target blade does not exceed the preset range of the corresponding normal operating data, a prompt indicating that the repair is completed is output; if at least one real-time data of the damaged part of the target blade exceeds the preset range of the corresponding normal operating data, when the target blade rotates to the adjustment position, the repair agent releasing mechanism closest to the damaged part of the target blade is controlled to release the blade repair agent to repair the damaged part of the target blade until a prompt indicating that the repair is completed is output.

5. The method according to claim 1, characterized in that The calculation formula for calculating the multiple abnormal ratio values ​​of each abnormal real-time data and each corresponding normal operating data in all the abnormal real-time data is: Where DIF is the abnormal ratio of any abnormal real-time data to the corresponding normal operation data; Any abnormal real-time data; It is the normal operation data corresponding to any abnormal real-time data.

6. The method according to any one of claims 1 to 5, characterized in that: The various types of sensor units include at least one or more of the following sensor units: A temperature sensor unit, a pressure sensor unit, a strain sensor unit and a vibration sensor unit.

7. A wind turbine blade repair device, characterized in that: Applicable to controllers, including: A first receiving module is used to receive various real-time data sent by various types of sensor units of any target blade among all the blades; A comparison module, used for comparing each of the real-time data with each corresponding normal operating data to determine all abnormal real-time data; A first judgment module is used to judge whether all abnormal real-time data are generated by a preset number of different types of sensor units identifying the same position; A determination module is used to determine that the target blade is damaged if all the abnormal real-time data are generated by a preset number of different types of sensor units identifying the same position, and execute the following steps: A first determination module is used to determine the damaged part of the target blade according to all the abnormal real-time data after determining that the target blade is damaged; A calculation module, used for calculating a plurality of abnormal ratio values ​​of each abnormal real-time data to each corresponding normal operating data among all the abnormal real-time data; a second determination module, configured to determine a damage level of the target blade according to the plurality of abnormal proportion values, and determine whether to release a blade repair agent according to the damage level; A third determination module is used to determine the release dosage of the blade repair agent according to the damage level if the blade repair agent is determined to be released according to the damage level; A first control module is used to control the repair agent storage mechanism to deliver the blade repair agent to the repair agent release unit according to the release dosage; The second control module is used to control the repair agent releasing unit to release the blade repair agent to repair the damaged part of the target blade.

8. A controller, characterized in that: include: at least one processor and memory; The memory stores computer-executable instructions; The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the wind turbine blade repair method according to any one of claims 1 to 6.

9. A wind turbine blade repair system, characterized in that: include: Various types of sensor units, controllers, repair agent storage mechanisms and repair agent release units; wherein the repair agent release unit includes a plurality of repair agent release mechanisms; The various types of sensor units, the controller, the repair agent storage mechanism and the repair agent release unit are respectively arranged on the wind turbine blades; Wherein, each type of sensor unit is communicatively connected with the controller; The controller is electrically connected to the repair agent storage mechanism; The controller is electrically connected to the plurality of repair agent releasing mechanisms in the repair agent releasing unit; The repair agent storage mechanism is connected to the plurality of repair agent releasing mechanisms in the repair agent releasing unit through pipelines; The controller is used to execute the wind turbine blade repair method according to any one of claims 1 to 6.

10. A computer storage medium, characterized in that: The computer storage medium stores computer executable instructions, and when the processor executes the computer executable instructions, the wind turbine blade repair method according to any one of claims 1 to 6 is implemented.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the wind turbine blade repair method according to any one of claims 1 to 6 is implemented.

Images