A blade load real-time monitoring system and method

Abstract

The present invention relates to a blade load real-time monitoring system and method. The system includes: a wind turbine blade installed on a wind turbine unit, an intelligent sensor group, a unit main control, a signal transmission line, a terminal receiver and a monitoring platform. The intelligent sensor group is arranged in the inner cavity of the wind turbine blade. The intelligent sensor group collects the operation and load information of the wind turbine blade and transmits it to the terminal receiver; the terminal receiver analyzes and determines whether the wind turbine blade is in a dangerous operation state; the monitoring platform is used to monitor the operation state and load change of the wind turbine blade in real time; the terminal receiver analyzes and processes the received signal and the information after analysis and processing participates in the adjustment of the unit main control to form a logical closed loop and adjust the state of the wind turbine blade. The technical solution of the present invention can monitor the operation state of the wind turbine blade such as the blade load in real time during its operation, thereby improving the safe and stable operation capability of the wind turbine blade.

Description

Technical Field

[0001] The present invention relates to the technical field of wind turbine blade load monitoring, and in particular to a blade load real-time monitoring system and method. Background Art

[0002] With the national carbon peak and carbon neutrality development needs, wind power installed capacity continues to increase, and wind turbines are developing towards large-scale, but some joint materials of wind turbine blades still rely on imports, forming a certain degree of "stuck neck" technology. In the wind turbine blade industry, it is urgent to break through the "stuck neck" of foreign countries and replace the core materials with domestic ones. In addition, wind turbine blades are the core components of wind power equipment, which directly affect the safe and stable operation of the unit and the unit efficiency. Therefore, it is urgent to develop a blade load monitoring system to ensure the safe and stable operation of domestic wind turbine blades.

[0003] The domestically produced wind turbine blades with load monitoring can monitor the operating status of the blades in real time, safeguard the safe and stable operation of the blades, and provide effective operating data for the design of domestically produced wind turbine blades, optimize blade design and material selection, and provide strategies for the operation control of the unit. However, there are few real-time blade load monitoring systems for existing wind turbines, and it is impossible to determine the actual status of the blades during operation. There are many uncertainties in the operation of wind turbine blades. Summary of the invention

[0004] The present application provides a blade load real-time monitoring system method to at least solve the problem in the related art that it is impossible to perform real-time monitoring of the wind turbine blades during operation.

[0005] The first embodiment of the present application provides a blade load real-time monitoring system, the system comprising: a plurality of wind turbine blades installed on a wind turbine, an intelligent sensor group, a signal transmission line, a terminal receiver, a unit master control and a monitoring platform;

[0006] The intelligent sensor group is arranged in the inner cavity of the fan blade, and is used to monitor the operating status of the fan blade and the blade load information in real time. The intelligent sensor group collects the operating status of the fan blade and the blade load information and converts them into electrical signals, which are transmitted to the terminal receiver through the signal transmission line;

[0007] The terminal receiver is used to analyze the real-time operating status of multiple wind turbine blades, blade load information, and determine whether the wind turbine blades are in a dangerous operating state through an intelligent algorithm;

[0008] The monitoring platform is connected to the terminal receiver, and the operating status information of the wind turbine blades analyzed by the terminal receiver is displayed in real time on the monitoring platform for real-time monitoring of the operating status and load changes of the wind turbine blades;

[0009] The terminal receiver is connected to the main control of the unit. The terminal receiver analyzes and processes the received signal and the information after analysis and processing participates in the adjustment of the main control of the unit to form a logical closed loop, adjust the state of the wind turbine blades, and maintain the power generation of the wind turbine in real time while ensuring the safety of the wind turbine blades.

[0010] A second aspect of the present application provides a method for real-time monitoring of blade load, the method comprising: obtaining operating status and blade load information of a wind turbine blade;

[0011] Analyze the real-time operating status and blade load information of the fan blades and use intelligent algorithms to determine whether the fan blades are in a dangerous operating state;

[0012] Adjust the status of the fan blades.

[0013] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0014] The present invention provides a blade load real-time monitoring system and method, the system comprising: a plurality of wind turbine blades installed on a wind turbine set, an intelligent sensor group, a unit main control, a signal transmission line, a terminal receiver and a monitoring platform, the intelligent sensor group is arranged in the inner cavity of the wind turbine blade, and is used for real-time monitoring of the wind turbine blade operation state and blade load information, the intelligent sensor group collects the wind turbine blade operation state and blade load information and converts them into electrical signals, and the electrical signals are transmitted to the terminal receiver through the signal transmission line; the terminal receiver is used for analyzing the real-time operation state and blade load information of a plurality of wind turbine blades and judging whether the wind turbine blades are in a dangerous operation state through an intelligent algorithm; the monitoring platform is connected to the terminal receiver, and the operation state information of the wind turbine blades analyzed by the terminal receiver is displayed in real time on the monitoring platform, and is used for real-time monitoring of the operation state and load change of the wind turbine blades; the terminal receiver is connected to the unit main control, and the terminal receiver analyzes and processes the received signal and the information after the analysis and processing participates in the unit main control adjustment to form a logic closed loop, and the state of the wind turbine blades is adjusted, and the power generation of the wind turbine set is maintained in real time under the premise of ensuring the safety of the wind turbine blades. The technical solution of the present invention can monitor the operating status of the fan blades, such as the blade load, in real time during their operation, thereby improving the safe and stable operation capability of the fan blades.

[0015] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0017] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0018] Figure 1 is a flow chart of a method for real-time monitoring of blade load according to the present application;

[0019] Figure 2 is a schematic diagram of a blade load real-time monitoring system according to the present application;

[0020] Figure 3 is a structural schematic diagram of a wind turbine generator set in a blade load real-time monitoring system according to the present application;

[0021] Figure 4 is a schematic diagram of arranging intelligent sensor groups on the cross-section of a wind turbine blade at five positions in a blade load real-time monitoring system according to the present application;

[0022] Figure 5 yes Figure 3 Schematic diagram of the installation of the smart sensor group on the cross section arranged 1.5m from the root of the wind turbine blade;

[0023] Figure 6 yes Figure 3 Schematic diagram of the arrangement of the intelligent sensor group on the cross section at 6m from the root of the wind turbine blade;

[0024] Figure 7 yes Figure 3 Schematic diagram of the layout of the intelligent sensor group on the cross section at a distance of 12.5m from the root of the wind turbine blade;

[0025] Figure 8 yes Figure 3 Schematic diagram of the arrangement of the intelligent sensor group on the cross section at 24m from the root of the wind turbine blade;

[0026] Fig. 9 yes Figure 3 Schematic diagram of the arrangement of the intelligent sensor group on the cross section at 34m from the root of the wind turbine blade;

[0027] Fig.10 A speed and power diagram of a wind turbine blade in a real-time monitoring method for blade load.

[0028] Description of reference numerals:

[0029] Wind turbine blade-100; main beam-101; web-102; blade root-103; trailing edge-104; leading edge-105; intelligent sensor group-200; strain sensor-201; temperature sensor-202; signal transmission line-300; wind turbine group-400; main shaft-402; bearing seat-403; main bearing-404; gearbox-405; high-speed output shaft-4051; generator-406; cabin-407; tower-408; terminal receiver-500; monitoring platform-600. DETAILED DESCRIPTION

[0030] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0031] The present application proposes a blade load real-time monitoring system and method, the system comprising: a plurality of wind turbine blades 100 installed on a wind turbine 400, an intelligent sensor group 200, a unit main control, a signal transmission line 300, a terminal receiver 500 and a monitoring platform 600; the intelligent sensor group 200 is arranged in the inner cavity of the wind turbine blade 100, and is used to monitor the load change of the wind turbine blade 100 in real time, the intelligent sensor group 200 collects the operation signal of the wind turbine blade 100 and converts it into an electrical signal, and the electrical signal is transmitted to the unit main control through the signal transmission line 300; the unit main control is used to adjust the operation state of the wind turbine blade 100; the terminal receiver 500 is used to receive the electrical signal of the wind turbine blade transmitted by the unit main control The monitoring platform 600 is connected to the terminal receiver 500, and the operating status information of the wind blades 100 analyzed by the terminal receiver 500 is displayed in real time on the monitoring platform 600, which is used to monitor the operating status and load changes of the wind blades 100 in real time; the terminal receiver 500 is connected to the main control of the unit, and the terminal receiver 500 analyzes and processes the received signals and participates in the adjustment of the main control of the unit after the analysis and processing, forming a logical closed loop, adjusting the status of the wind blades 100, and maintaining the power generation of the wind turbine 400 in real time under the premise of ensuring the safety of the wind blades 100. The technical solution of the present invention can monitor the operating status of the wind blades 100 such as load changes in real time during their operation, thereby improving the safe and stable operation capability of the wind blades.

[0032] Example 1

[0033] Figure 2A schematic diagram of the structure of a blade load real-time monitoring system provided by the embodiment of the present disclosure is shown in FIG. Figure 2 As shown, the system includes: a plurality of wind turbine blades 100 , an intelligent sensor group 200 , a unit main control, a signal transmission line 300 , a terminal receiver 500 and a monitoring platform 600 .

[0034] The smart sensor group 200 is arranged in the inner cavity of the fan blade 100, and is used to monitor the operating state and blade load information of the fan blade 100 in real time. The smart sensor group 200 collects the operating state and blade load information of the fan blade 100 and converts them into electrical signals, and the electrical signals are transmitted to the terminal receiver 500 through the signal transmission line 300;

[0035] The terminal receiver 500 is used to analyze the real-time operating status of multiple wind turbine blades 100, blade load information, and determine whether the wind turbine blades 100 are in a dangerous operating state through an intelligent algorithm;

[0036] The monitoring platform 600 is connected to the terminal receiver 500 , and the operating status information of the wind blade 100 analyzed by the terminal receiver 500 is displayed in real time on the monitoring platform. The monitoring platform 600 is used to monitor the operating status and load changes of the wind blade 100 in real time.

[0037] The terminal receiver 500 is also connected to the unit main control. The terminal receiver 500 analyzes and processes the received signal and the information after analysis and processing participates in the unit main control adjustment to form a logical closed loop, adjust the state of the wind turbine blades 100, and maintain the power generation of the wind turbine 400 in real time while ensuring the safety of the wind turbine blades 100.

[0038] It should be pointed out that Figure 2 FIG. 2 is a schematic diagram of a smart sensor group 200 showing only one sensor. Figure 2 For illustration only and not as a limitation to the embodiments of the present application, the smart sensor group 200 includes a plurality of sensors.

[0039] Figure 3 The present invention is a schematic diagram of the structure of a wind turbine in a real-time blade load monitoring system according to the present application. As shown in 3, the wind turbine blade 100 is installed on a wind turbine 400. The wind turbine 400 includes a wind turbine blade 100, a nacelle 407 and a tower 408. The nacelle 407 is installed on the tower 408. The tower 408 is used to support the nacelle 407.

[0040] The nacelle 407 is provided with a main shaft 402, a bearing seat 403, a main bearing 404, a gear box 405, a generator 406, and a tower 408. The wind turbine blades 100 are mounted on the main shaft 402 and rotate under the action of the main shaft 402; the main shaft 402 is mounted on the main bearing 404 and the main bearing 404 is used to support the main shaft 401, and the main bearing 404 is mounted on the bearing seat 403. The end of the main shaft 402 away from the wind turbine blades 100 is connected to the gear box 405, and a gear set and a high-speed output shaft 4051 are arranged in the gear box 405. The end of the main shaft 402 away from the wind turbine blades 100 is connected to the gear in the gear box 405, and the high-speed output shaft 4051 is located at the end of the gear box 405 away from the main shaft 402 and the high-speed output shaft 4051 extends out of the gear box 405 and is connected to the generator 6, which can drive the generator to generate electricity; the wind turbine set 400 is a prior art and will not be described in detail here.

[0041] The wind turbine generator set 400 includes three wind turbine blades 100, see Figures 4 to 9 The fan blade 100 is a hollow structure, that is, an inner cavity is provided inside the fan blade 100 and the inner cavity of the fan blade 100 is arc-shaped. Figure 8 For example, the wind blade 100 includes a main beam 101, a web 102, a skin, a leading edge 105, a trailing edge 104, etc. The main beam 101 and the web 102 are arranged in the inner cavity. The wind blade 100 and its structure are prior arts and will not be described in detail here.

[0042] The main beam 101 is the main load-bearing component of the wind turbine blade 100. The main beam 101 is made of domestically produced carbon fiber material, which can effectively save financial resources. The web 102 is used to support the main beam 101 and resist the torsional deformation of the wind turbine blade 100. The skin is used to ensure the aerodynamic shape. Through the fine geometric shape design, the wind turbine blade 100 can absorb wind energy to the maximum extent. The skin is made of domestically produced glass fiber material. The skin ensures that the wind turbine blade 100 has a better aerodynamic shape. When the airflow flows through the wind turbine blade 100 of the wind turbine generator 400, lift and resistance are generated on the wind turbine blade 100, so that the wind turbine blade 100 generates a torque My along the direction of rotation of the wind wheel, a bending moment Mx that bends the blade backward (opposite to the direction of the airflow), and a torque Mω that twists the blade itself. The main beam 101, skin, etc. are all core components of the wind turbine blade 100 and the materials selected for these components are also core materials. In this application, the main beam 101 adopts domestically produced carbon fiber material and the skin adopts domestically produced glass fiber, that is, the domestic substitution of core materials is adopted, which can break through the "bottleneck" phenomenon abroad and is of great significance to the independent research and development and mass production of my country's wind turbine blades 100.

[0043] Figure 4This is a schematic diagram of arranging intelligent sensor groups on the cross-section of a wind turbine blade at five locations in a blade load real-time monitoring system of the present application, such as Figure 4 As shown, the intelligent sensor group 200 is arranged in the inner cavity of the fan blade 100, and is used to monitor the operating state and blade load of the fan blade 100 in real time. The intelligent sensor group 200 collects the operating state and blade load information of the fan blade 100 and converts these signals into electrical signals, and the electrical signals are transmitted to the terminal receiver 500 through the signal transmission line 300. Specifically, the intelligent sensor group 200 receives operating state signals such as blade vibration, blade bending moment, torque signal, etc. of the fan blade 100. The sensor group 200 converts the received operating state signal into an electrical signal through the built-in algorithm of the sensor, and calculates the vibration amount and torque information from the vibration acceleration value. The vibration sensor selects its corresponding range according to different level requirements, and the electrical signal also selects its applicable range according to different monitoring requirements.

[0044] In the embodiment of the present disclosure, the smart sensor group 200 includes a plurality of strain sensors 201 and a plurality of temperature sensors 202, and both the strain sensors 201 and the temperature sensors 202 are high-precision sensors. The strain sensors 201 and the temperature sensors 202 are fixed to the inner surface of the inner cavity of the fan blade 100 by gluing to prevent the strain sensors 201 and the temperature sensors 202 from loosening or falling off during the rotation of the fan blade 100.

[0045] In this embodiment, the length of the fan blade 100 is 90m. Figure 4 and Figure 8 As shown, each wind blade 100 has four strain sensors 201 evenly arranged along the cross section of the wind blade 100 at five positions of 1.5m, 6m, 12.5m, 24m and 34m away from the blade root 103, to monitor and collect the operating status information, load information, etc. of the wind blade 100 in real time.

[0046] A temperature sensor 202 is provided on one side of each strain sensor 201, and the temperature sensor 202 corresponds to the strain sensor 201 one by one, that is, four temperature sensors 202 are evenly arranged along the cross section of each wind blade 100 at five positions of 1.5m, 6m, 12.5m, 24m and 34m away from the blade root 103 for temperature compensation.

[0047] It should be noted that because the inner cavity of the fan blade 100 is arc-shaped, it is not easy to fix the sensor, so the inner cavity of the fan blade 100 needs to be polished and smoothed by mechanical polishing and filling, and then the strain sensor 201 and the temperature sensor 202 are firmly fixed to the inner surface of the blade cavity by gluing.

[0048] See also Figures 4 to 9 In this embodiment, 20 strain sensors 201 and 20 temperature sensors 202 are installed in each wind turbine blade 100, and 60 strain sensors 201 and 60 temperature sensors 202 are installed in each wind turbine set 400, so that the real-time monitoring of the three wind turbine blades 100 on each wind turbine set can be achieved with the highest accuracy and efficiency. Figure 5 , Figure 5 This is a schematic diagram of the installation of an intelligent sensor group on a cross section arranged 1.5m away from the root of a wind turbine blade. At this time, the sensors included in the intelligent sensor group are 1.2m away from the root of the blade.

[0049] The intelligent sensor group 200 can convert the real-time vibration signal of the wind turbine blade 100 into an electrical signal, and the electrical signal is transmitted along the transmission line 300. The signal transmission line 300 has the ability to resist ±4kV surge lightning strikes and electromagnetic interference.

[0050] The portion of the signal transmission line 300 located in the inner cavity of the fan blade 100 is fixed in the inner cavity of the fan blade 100 by gluing, which ensures firm bonding and avoids loosening and jamming of the line during the rotation of the fan blade 100.

[0051] In the process of connecting the signal transmission line 300 to the terminal receiver 500, it must be physically connected through the slip ring of the wind turbine 400, and then connected to the terminal receiver 400 through the unit slip ring, the nacelle 402, and the tower 408. The use of the unit slip ring avoids the problem of the signal transmission line 300 being stuck. The unit slip ring is a technology that comes first and then is not described in detail here.

[0052] In the embodiment of the present disclosure, the electrical signal is transmitted to the terminal receiver 500 through the signal transmission line 300, and the terminal receiver 500 receives the signal and stores and analyzes the received signal. The information after the terminal receiver 500 analyzes and processes the electrical signal participates in the main control adjustment of the unit. The analyzed and processed signal can determine the operating status of the blade and is used for blade operating status adjustment.

[0053] The operation state adjustment of the wind turbine blade 100 includes: rotating speed, pitch angle execution action, increasing the power generation of the wind turbine set, etc.

[0054] Specifically, the terminal receiver 500 is used to receive the electrical signal of the wind blade 100 transmitted by the main control of the unit, analyze the real-time blade loads of multiple wind blades 100 through the electrical signal, and determine whether the wind blade 100 is in a dangerous operating state through an intelligent algorithm. The terminal receiver 500 is connected to a monitoring platform 600, and the monitoring platform 600 monitors the operating state, blade load, etc. of the wind blade 100 in real time.

[0055] Specifically, the terminal receiver 500 extracts the operating information of the wind blade 100, and stores the actual operating signal of the wind blade 100 load through the data storage function of the monitoring platform 600, corresponding to the wind condition environment and other information in which the wind turbine 400 is located, and can obtain the real load information of the nationalized wind blade 100 under different operating conditions, and then can reversely guide the design and material selection of domestically produced wind blades, forming a complete technical closed loop in the design, application and monitoring of domestically produced wind blades.

[0056] The terminal receiver 500 analyzes and judges through intelligent algorithms, and obtains various stress conditions of the wind turbine blade 100 in real time, including axial load Mx, tangential load My, torsional load Mω, and blade vibration. By comparing three wind turbine blades 100 horizontally and comparing the same wind turbine blade 100 with historical data, it can be found in time whether the operation status of the wind turbine blade 100 is abnormal. If it is found that the load fluctuation of the wind turbine blade 100 is large, which may endanger the safe operation of the wind turbine blade 100 or the wind turbine 400, the control system of the unit will immediately perform safety actions and stop operation to avoid causing greater losses; if the load is within the allowable range of the wind turbine blade 100, then the control strategy is adjusted with the unit output as the maximum target to ensure the highest efficiency of the unit. It should be noted that the blade load information of the fan blade 100 is generated by the vibration of the fan blade. The change of the fan blade vibration generates the change of the blade load information. The terminal receiver 500 extracts, analyzes and processes the vibration signal of the fan blade 100. In this application, the terminal receiver 500 extracts, analyzes and processes the vibration signal of the fan blade 100 using wavelet analysis, and processes the characteristics of the signal by integrating time and characteristic scale. For the square integrable function s(t), its continuous wavelet transform is defined as follows:

[0057]

[0058] Where: W is the vibration signal; Ts is the vibration time; a1 is the scale expansion parameter; b1 is the time translation parameter;

[0059] is the wavelet basis or mother wavelet; wavelet basis function ψ ab(t) changes with the change of the scaling parameter a, and the wavelet basis function slides through the action of the time shift parameter b. It can be seen that the wavelet transform uses the projection of the signal into the space formed by a cluster of basis functions to achieve the characterization of the signal.

[0060] Wavelet transform can realize global and local observation of signals by controlling the time shift scale and the telescopic scale, and can observe from "coarse to fine", providing multi-scale and multi-resolution analysis. To some extent, it can solve the contradiction between time resolution and frequency resolution, and can effectively process and analyze the complex load signal of the blade and convert it into a stable signal. That is, the terminal receiver 500 receives the electrical signal of the wind turbine blade 100, analyzes the state of the force and other conditions of the wind turbine blade 100 through the intelligent algorithm, especially the blade vibration, blade bending moment, torque and other information, and judges whether the wind turbine blade 100 is operating safely or in a dangerous operating state through the intelligent algorithm.

[0061] The terminal receiver 500 is connected to the main control of the unit, participates in the control and regulation of the wind turbine 400, forms a closed-loop control system, improves the power generation of the unit, and reduces the unit's cost per kilowatt-hour. When the load on the wind turbine blades 100 is low, the main control performs actions by changing the wind rotor speed and pitch angle to increase the power generation of the wind turbine. Under the premise of ensuring the safety of the wind turbine blades, the optimal power generation of the wind turbine 400 is maintained in real time.

[0062] Among them, the main control of the unit mainly includes: monitoring system, main control system, pitch control system and frequency conversion system. The main purpose of the unit main control is to monitor the wind turbine blades 100, automatically adjust, achieve maximum wind energy capture and ensure good grid compatibility and other important tasks. The monitoring system realizes the monitoring and start and stop operations of the status of the wind turbine blades in the whole wind farm. It includes large-scale monitoring software and a complete communication network; the main control system is the main body of the wind turbine control system, which realizes important control and protection functions such as automatic start, automatic direction adjustment, automatic speed regulation, automatic grid connection, automatic decoupling, automatic shutdown due to faults, automatic cable unwinding and automatic recording and monitoring; the pitch control system cooperates with the main control system to achieve maximum wind energy capture and constant speed operation through the control of the pitch angle of the wind turbine blades, thereby improving the operational flexibility of the wind turbine unit 400; the frequency conversion system interfaces with the main control system, and is connected to the generator and the grid, directly assuming the important functions of ensuring power supply quality, improving power factor, and meeting grid compatibility standards.

[0063] Specifically, Fig.10 is a speed and power diagram of a wind turbine blade in a real-time monitoring method for blade load, such as Fig.10As shown, during the operation of the wind turbine blade 100, the main control of the unit roughly divides the blade from the access wind speed V1, the rated wind speed V2, and the maximum wind speed V3 into two intervals, namely the V1-V2 area and the V2-V3 area, namely the fixed speed change area V1-V2 area before the rated wind speed and the variable pitch fixed speed area V2-V3 area after the rated wind speed. However, in order to pursue a more refined control strategy, the wind turbine 400 is divided into three more refined control areas before the rated wind speed, namely the a1b1 area, the b1c1 area, and the c1d1 area. The a1b1 area belongs to the area from the cut-in wind speed to the optimal tip speed ratio, and the efficiency is relatively low. The b1c1 section takes the maximum output of the wind turbine blade 100 as the optimal control target and belongs to the high efficiency area. The c1d1 section belongs to the fixed speed power increase area, and the efficiency of the c1d1 section is also relatively low. After the rated wind speed V2, the rated power output is maintained. Therefore, the unit master control participates in the whole wind condition operation process of the unit from the cut-in wind speed V1 to the cut-out wind speed V3, especially in the c1d1 section, and monitors the load of the wind turbine blade 100 through the monitoring platform 600. When the load signal of the wind turbine blade 100 is monitored to be very stable, the wind turbine unit 400 is controlled with the maximum output as the control target, and the optimal tip speed ratio is tracked by adjusting the rotation speed of the wind turbine blade 100, so that the wind turbine blade 100 is more efficient, outputs more power, and improves the power generation of the wind turbine unit 400. Finally, the terminal receiver 500 extracts the operation information of the wind turbine blade 100, and stores the actual operation signal of the wind turbine blade 100 load through the data storage function of the monitoring platform 600. Corresponding to the wind condition environment and other information of the wind turbine unit 400, the real load information of the nationalized wind turbine blade 100 under different operating conditions can be obtained, and then the design and material selection of the nationalized wind turbine blade can be reversely guided, and a complete technical closed loop is formed in the design, application and monitoring of the nationalized wind turbine blade.

[0064] Embodiment 2:

[0065] Figure 1 A flow chart of a blade load real-time monitoring method provided by the embodiment of the present disclosure is as follows: Figure 1 As shown, the method includes:

[0066] Step 1: Obtaining the operating status and blade load information of the wind turbine blade 100;

[0067] Step 2: Analyze the real-time operating status of the fan blade 100 and the blade load information and determine whether the fan blade safety operation is in a dangerous operating state through an intelligent algorithm;

[0068] Step 3: Adjust the status of the fan blade 100 .

[0069] The acquired operating status information of the blade includes blade vibration information, blade bending moment information, torque information and the like.

[0070] In the embodiments of the present disclosure,

[0071] Analyzing the real-time operating status of the fan blade 100, the blade load information, and determining whether the fan blade 100 is in a dangerous operating state through an intelligent algorithm includes:

[0072] A1: The terminal receiver receives the electrical signal from the wind turbine blade 100;

[0073] A2: After analyzing and calculating the fan blade 100 signal through an intelligent algorithm, the axial load Mx, tangential load My, torsional load Mω of the fan blade 100 and the vibration of the fan blade are obtained in real time;

[0074] A3: Compare the three wind turbine blades 100 included in a wind turbine set 400 horizontally and compare the same wind turbine blade 100 with the historical data of the wind turbine blade to timely find out whether the operating status of the wind turbine blade 100 and the blade load information are abnormal;

[0075] A4: Analyze and determine whether the fan blade 100 is operating safely or in a dangerous operating state. In the embodiment of the present disclosure, adjusting the state of the fan blade 100 includes: adjusting the fan blade in a dangerous operating state and adjusting the fan blade in a safe operating state;

[0076] When it is determined that the wind turbine blade 100 is in a safe operating state, the wind turbine blade 100 is adjusted with the operating efficiency of the wind turbine set 400 as the adjustment target, so that the wind turbine set 400 maintains the optimal power generation;

[0077] When it is determined that the wind turbine blade 100 is in a dangerous operating state, the wind turbine blade is adjusted with the safety of the wind turbine blade 100 and the wind turbine generator set 400 as the adjustment target, so that the wind turbine generator set 400 can operate safely.

[0078] In the embodiment of the present disclosure, the blade load signal monitored for the fan blade 100 is a series of continuous time series signals, and the load signal has a fluctuation range. When the fan blade 100 is in danger or there is a large load during the operation of the fan blade 100, the signal fluctuation range becomes larger. During the operation, it is determined whether the fan blade is in a dangerous operating state and the state of the fan blade 100 is adjusted, which also includes:

[0079] D1: First, determine a reasonable fluctuation range according to the fluctuation range of the load signal of the fan blade 100 collected by the intelligent sensor group under the normal operation state of the fan blade 100;

[0080] D 2: The load signal fluctuation range is set to exceed 10% of the normal value as the warning threshold. When the load signal fluctuation exceeds 10% during the operation of the fan blade 100, the unit main control safety alarm is triggered, and the on-site monitoring personnel go to the site to determine the operating status of the fan blade 100 and conduct a review to confirm whether to further shut down or operate;

[0081] D3: Finally, a blade load signal fluctuation range exceeding 15% of the normal value is given as a safety action threshold. When the load signal fluctuation exceeds 15%, the unit safety chain is triggered and the unit is shut down urgently, thereby ensuring the safety of the wind turbine blade 100 and the wind turbine unit 400.

[0082] It should be noted that by adjusting the state of the wind turbine blades 100, optimal control of the wind turbine set 400 and the wind turbine blades 100 is achieved. Specifically, Fig.10 is a speed and power diagram of a wind turbine blade in a real-time monitoring method for blade load, such as Fig.10 As shown, during the operation of the wind turbine blade 100, the main control of the unit roughly divides the blade from the access wind speed V1, the rated wind speed V2, and the maximum wind speed V3 into two intervals, namely the V1-V2 area and the V2-V3 area, namely the fixed speed change area V1-V2 area before the rated wind speed and the variable pitch fixed speed area V2-V3 area after the rated wind speed. However, in order to pursue a more refined control strategy, the wind turbine 400 is divided into three more refined control areas before the rated wind speed, namely the ab area, the bc area, and the cd area. The ab area belongs to the area from the cut-in wind speed to the optimal tip speed ratio, and the efficiency is relatively low. The bc section takes the maximum output of the wind turbine blade 100 as the optimal control target and belongs to the high efficiency area. The cd section belongs to the fixed speed power increase area, and the efficiency of the cd section is also relatively low. After the rated wind speed V2, the rated power output is maintained. Therefore, the unit master control participates in the whole wind condition operation process of the unit from the cut-in wind speed V1 to the cut-out wind speed V3, especially in the cd section, by monitoring the load condition of the wind turbine blades 100 through the monitoring platform 600. When it is detected that the blade load signal is very stable, the unit is controlled with the maximum output as the control target, and the optimal tip speed ratio is tracked by adjusting the blade rotation speed, so that the blade efficiency is higher, more power is output, and the power generation of the unit is improved.

[0083] Finally, the operating information of the wind turbine blade 100 is extracted, and the actual blade load signal is stored through the data storage function of the monitoring platform 600. The corresponding information such as the wind condition environment in which the wind turbine 400 is located can be used to obtain the real load information of the wind turbine blade 100 under different operating conditions, and then reversely guide the design and material selection of wind turbine blades, forming a complete technical closed loop for the design, application and monitoring of wind turbine blades in China.

[0084] In summary, the present application proposes a method for real-time monitoring of blade loads, including obtaining the operating status and blade load information of the blades; analyzing the real-time operating status and blade load information of the fan blades and using an intelligent algorithm to determine whether the fan blades are in a dangerous operating state; and adjusting the state of the fan blades. The method described in the present application can monitor the operating status of the fan blades such as load changes in real time during their operation, and can adjust the state of the fan blades, thereby improving the safe and stable operation capability of the fan blades.

[0085] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0086] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0087] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in the field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A real-time monitoring method for blade load, characterized in that: The method is applied to a blade load real-time monitoring system, which includes: a plurality of wind turbine blades installed on a wind turbine, an intelligent sensor group, a signal transmission line, a terminal receiver, a unit main control and a monitoring platform; The intelligent sensor group is arranged in the inner cavity of the fan blade, and is used to monitor the operating status of the fan blade and the blade load information in real time. The intelligent sensor group collects the operating status of the fan blade and the blade load information and converts them into electrical signals, which are transmitted to the terminal receiver through the signal transmission line; The smart sensor group includes a plurality of strain sensors and temperature sensors, and the strain sensors and temperature sensors are fixed to the inner cavity of the fan blade by gluing to prevent the smart sensor group from loosening or falling off during the rotation of the fan blade; Four strain sensors are evenly arranged on the cross section of each wind turbine blade at five locations, 1.5m, 6m, 12.5m, 24m and 34m from the blade root, along the cross section to monitor and collect real-time load information of the wind turbine blade; The terminal receiver is used to analyze the real-time operating status of multiple wind turbine blades, blade load information, and determine whether the wind turbine blades are in a dangerous operating state through an intelligent algorithm; The monitoring platform is connected to the terminal receiver, and the operating status information of the wind turbine blades analyzed by the terminal receiver is displayed in real time on the monitoring platform for real-time monitoring of the operating status and load changes of the wind turbine blades, and the monitoring platform is also used to store the received information data; The terminal receiver is connected to the main control of the unit, and the terminal receiver analyzes and processes the received signal and the information after analysis and processing participates in the adjustment of the main control of the unit to form a logical closed loop, adjust the state of the wind turbine blades, and maintain the power generation of the wind turbine in real time under the premise of ensuring the safety of the wind turbine blades; The method comprises: Obtain the operating status and blade load information of the fan blades; Analyze the real-time operating status and blade load information of the fan blades and use intelligent algorithms to determine whether the fan blades are in a dangerous operating state; Adjust the status of fan blades; Analyze the real-time operating status of the fan blades, blade load information, and use intelligent algorithms to determine whether the fan blades are in a dangerous operating state, including: The terminal receiver receives the electrical signal from the wind turbine blades; After analyzing and calculating the fan blade signal through intelligent algorithms, the blade axial load Mx, tangential load My, torsional load Mω and fan blade vibration conditions are obtained in real time; Compare the three blades of a wind turbine unit horizontally and compare the same wind turbine blade with the historical data of the wind turbine blade to timely find out whether the wind turbine blade operation status and blade load information are abnormal; Determine whether the fan blades are in safe operation or dangerous operation state; Adjusting the status of the fan blades includes: adjusting the fan blades in a dangerous operating state and adjusting the fan blades in a safe operating state; When it is judged that the wind turbine blades are in a safe operating state, the blades are adjusted with the operating efficiency of the wind turbine set as the adjustment target; When it is judged that the wind turbine blades are in a dangerous operating state, the blades are adjusted to ensure the safety of the blades and wind turbines; Determining whether the fan blades are in a dangerous operating state also includes: A reasonable fluctuation range is determined according to the fluctuation range of the blade load signal collected by the intelligent sensor group under the normal operation of the fan blade; The blade load signal fluctuation range is set to exceed 10% of the normal value as the warning threshold. When the load signal fluctuation exceeds 10% during the operation of the wind turbine blade, the unit main control safety alarm is triggered, and the on-site monitoring personnel go to the site to determine the blade operation status and conduct a review to confirm whether to further shut down or operate. The blade load signal fluctuation range exceeding 15% of the normal value is given as the safety action threshold. When the load signal fluctuation exceeds 15%, the unit safety chain is triggered and the wind turbine is shut down urgently, thereby ensuring the safety of the blades and the wind turbine.

2. The method according to claim 1, characterized in that The operating status signals of the fan blades include blade vibration signals, blade bending moment signals, and torque signals.

3. The method according to claim 1, characterized in that A temperature sensor is arranged on one side of each strain sensor for temperature compensation.

4. The method according to claim 1, characterized in that The state adjustment of the wind turbine blades includes: executing actions on the rotation speed and pitch angle to increase the power generation of the wind turbine set.

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