A remote monitoring system and method for a wind turbine

Abstract

The present invention relates to the technical field of wind power generation, and particularly to a remote monitoring system and method for a wind turbine. In the present invention, the operation status of the wind turbine is analyzed based on the power generation amount of the wind turbine. Considering that the power generation situation of the wind turbine is greatly related to the surrounding environment, such as the local wind force, thus when the power generation amount is low, a secondary analysis is performed based on the change situation of the power generation amount in the historical data, and the slope of the power generation curve in the historical data is calculated. If the slope is large, it is determined that the wind turbine is in a starting state and the operation status of the wind turbine is qualified. While when the slope is small, it is determined that the environmental conditions cause the low power generation amount of the wind turbine, improving the control accuracy for the operation status of the wind turbine, determining the corresponding processing method according to the analysis result, improving the maintenance timeliness for the faults of the wind turbine, and reducing the resource waste caused by shutdown maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and particularly to a remote monitoring system and method for a wind turbine. Background Art

[0002] The remote monitoring technology of wind turbines is the key to ensuring the efficient and safe operation of wind farms. The intelligent monitoring system includes underwater intelligent monitoring, structural fatigue and damage monitoring, cable monitoring, and foundation scour monitoring. These systems can monitor the deformation, stress, displacement, vibration, and corrosion status of the structure in real time through sensors and transmit the data to the monitoring system. The prior art detects the operating conditions of the wind turbine and outputs an induction signal to transmit the abnormal operating data of the wind turbine to a remote monitoring terminal, facilitating on-duty personnel not on-site at the wind turbine to timely understand the operating conditions when the wind turbine fails.

[0003] Chinese Patent Application No.: CN201810032201.8 discloses a remote monitoring system for a wind turbine, which solves the problem that on-duty personnel not on-site at the wind turbine cannot timely understand the operating conditions when the wind turbine fails. The key points of its technical solution are: including a wind turbine, a control unit connected to the wind turbine, and a remote monitoring terminal connected to the control unit for on-duty personnel to remotely and real-time monitor the operating conditions of the generator; the control unit includes an operating anomaly induction module that detects the operating conditions of the wind turbine and outputs an induction signal T1-n, an operating anomaly braking module connected to the operating anomaly induction module and controlled by the induction signal T1-n to perform braking protection on the wind turbine, and an operating data transmission module that transmits the abnormal operating data of the wind turbine to the remote monitoring terminal, facilitating on-duty personnel not on-site at the wind turbine to understand the operating conditions when the wind turbine fails in the first time.

[0004] However, the prior art still has the following problems:

[0005] When a failure occurs in the power generation of a wind turbine, it mostly adopts the method of shutting down and waiting for manual analysis of the cause of the failure, resulting in a long repair time and wasting resources. Summary of the Invention

[0006] Therefore, the present invention provides a remote monitoring system and method for a wind turbine to overcome the problem in the prior art that when a failure occurs in the power generation of a wind turbine, it mostly adopts the method of shutting down and waiting for manual analysis of the cause of the failure, resulting in a long repair time and wasting resources.

[0007] To achieve the above object, the present invention provides a remote monitoring system for a wind turbine, including:

[0008] An environmental monitoring unit, which includes a number of salt spray collectors arranged at the points to be measured of a wind turbine, and is used to monitor the salt spray concentration according to the amount of salt spray sediment collected by the salt spray collectors within a predetermined time;

[0009] A kinetic energy receiving unit, which is connected to the environmental monitoring unit, includes a tower barrel, blades and a rotor shaft connected to the blades through a rotating mechanism, and is used to receive wind energy and drive the rotor shaft to rotate by using the wind energy;

[0010] A cooling unit, which is connected to the kinetic energy receiving unit and cools the kinetic energy receiving unit through a number of pipelines for transporting water;

[0011] A detection unit, which is connected to the kinetic energy receiving unit, includes a temperature sensor arranged on the rotor shaft and a rotational speed detector arranged on the blades, and is used to detect the temperature of the rotor shaft and the rotational speed of the blades respectively;

[0012] A power generation unit, which is connected to the kinetic energy receiving unit and is used to convert the wind energy received by the kinetic energy receiving unit into electric energy;

[0013] A power generation amount detection unit, which is connected to the power generation unit and is used to periodically detect the power generation amount;

[0014] An intelligent analysis unit, which is respectively connected to the environmental monitoring unit, the kinetic energy receiving unit, the cooling unit, the detection unit, the power generation unit and the power generation amount detection unit, and is used to analyze whether the operation status of the wind turbine is qualified according to the power generation amount, secondly determine the operation status of the wind turbine based on the change of the power generation amount in each cycle in the historical data, and analyze the reason for the unqualified operation status of the wind turbine based on the rotational speed of the blades.

[0015] Further, the intelligent analysis unit is used to analyze whether the operation status of the wind turbine is qualified according to the power generation amount measured by the power generation amount detection unit in a single detection cycle, including:

[0016] The intelligent analysis unit determines that the operation status of the wind turbine is qualified;

[0017] The intelligent analysis unit secondly determines whether the operation status of the wind turbine is qualified based on the power generation amount in the historical data, or determines that the operation status of the wind turbine is unqualified, and analyzes the reason for its unqualified based on the rotational speed of the blades.

[0018] Further, the intelligent analysis unit secondly determines the operation status of the wind turbine based on the change of the power generation amount in each cycle in the historical data, including:

[0019] The intelligent analysis unit is used to obtain the power generation amount in each cycle within a predetermined time period measured by the power generation amount detection unit,

[0020] The intelligent analysis unit is used to draw a power generation - time curve based on the power generation amounts in each period obtained, calculate the slopes of each time node in the power generation - time curve, and solve the average value of the slopes.

[0021] The intelligent analysis unit determines that the operating condition of the wind turbine is qualified based on the average value of the slopes, or determines that the environment is unqualified.

[0022] Further, under the condition that the environment is unqualified, the intelligent analysis unit draws a salt spray settlement amount - time curve according to the salt spray settlement amount measured by the environment monitoring unit, calculates the slopes of each time node in the salt spray settlement amount - time curve, solves the average value of the slopes, and records the average value of the slopes as the settlement rate characterization.

[0023] The intelligent analysis unit adjusts the corresponding preset power generation amount based on the settlement rate characterization, where

[0024] The reduction amount of the corresponding preset power generation amount is positively correlated with the settlement rate characterization.

[0025] Further, the intelligent analysis unit analyzes the reason for the unqualified operating condition of the wind turbine based on the rotation speed of the blade, including:

[0026] The intelligent analysis unit determines the average rotation speed of the blade.

[0027] The intelligent analysis unit determines that the reason for the unqualified operating condition of the wind turbine is insufficient wind power based on the average rotation speed, or determines a secondary determination of the reason for the unqualified operating condition of the wind turbine based on the temperature of the rotor shaft measured by the detection unit.

[0028] Further, the intelligent analysis unit is used to reduce the angle between the blade and the wind moving direction based on the average rotation speed.

[0029] Wherein, the reduction amount of the angle is positively correlated with the average rotation speed.

[0030] Further, the intelligent analysis unit is used to make a secondary determination of the reason for the unqualified operating condition of the wind turbine based on the temperature of the rotor shaft measured by the detection unit, including:

[0031] The intelligent analysis unit determines that the reason for the unqualified operating condition of the wind turbine is a transmission problem based on the temperature of the rotor shaft, or determines that the reason for the unqualified operating condition of the wind turbine is unqualified heat dissipation treatment.

[0032] Further, the intelligent analysis unit is used to adjust the water flow rate in the pipeline based on the temperature of the rotor shaft when the heat dissipation treatment is unqualified, where

[0033] The increase in flow rate is positively correlated with the temperature of the rotor shaft.

[0034] Furthermore, when the intelligent analysis unit completes the adjustment of the water flow rate in the pipeline, it determines that the lubrication degree of the rotating mechanism is insufficient.

[0035] The present invention provides a remote monitoring method for a wind turbine, including:

[0036] Periodically collecting the salt spray settlement amount to monitor the salt spray concentration, detecting the temperature of the rotor shaft and the rotational speed of the blades;

[0037] Periodically detecting the power generation amount of the wind turbine, and analyzing whether the operating condition of the wind turbine is qualified based on the power generation amount in a single detection period, including;

[0038] Based on the change of the power generation amount in each period in the historical data, making a secondary determination on whether the operating condition of the wind turbine is qualified, or analyzing the reason for its unqualified based on the rotational speed of the blades;

[0039] Determining the corresponding treatment method based on the analysis result, including:

[0040] When it is determined that the operating condition of the wind turbine is unqualified in the secondary determination, reducing the determination benchmark for analyzing whether the operating condition of the wind turbine is qualified, reducing the angle between the blade and the wind moving direction when it is determined that the wind force is insufficient, and adjusting the water flow rate in the pipeline when it is determined that the heat dissipation is unqualified.

[0041] Compared with the prior art, the beneficial effect of the present invention is that in the present invention, the operating condition of the wind turbine is analyzed according to the power generation amount of the wind turbine. Considering that the power generation situation of the wind turbine is greatly related to the environment where it is located, such as the local wind force, therefore, when the power generation amount is low, a secondary analysis is performed based on the change of the power generation amount in the historical data, and the slope of the power generation curve in the historical data is calculated. If the slope is large, it is determined that the wind turbine is in the starting state and the operating condition of the wind turbine is qualified. When the slope is small, it is determined that the environmental condition causes the low power generation amount of the wind turbine, improving the control accuracy of the operating condition of the wind turbine, determining the corresponding treatment method according to the analysis result, improving the repair timeliness of the wind turbine fault, and reducing the resource waste caused by shutdown maintenance.

[0042] Furthermore, in the present invention, considering that offshore wind turbines are affected by salt spray, salt spray and other particulates in the air form a covering layer on the blade surface under the action of blade static electricity. This covering layer changes the shape and texture of the blade surface, thereby affecting the flow characteristics of the air flow. The present invention determines the salt spray concentration in the environment where the current wind turbine is located by detecting the salt spray settlement amount, and then determines the interference degree of the salt spray on the wind turbine. When the salt spray settlement speed is too fast, the judgment criterion for the operating state of the fan is adjusted to avoid misjudgment caused by using the same criterion for judgment in different environments, thereby improving the analysis accuracy of the operating conditions of the wind turbine.

[0043] Furthermore, in the present invention, the operating condition of the wind turbine is analyzed according to the rotation speed of the blade. When the rotation speed of the blade is small, it is determined that the wind force is too small, resulting in less power generation of the wind turbine. When the rotation speed of the blade is high, considering that the high temperature of the rotor shaft affects the operation of the generator, resulting in insufficient power generation. Therefore, the reason for the unqualified operating condition of the generator is further analyzed according to the temperature of the rotor shaft, improving the analysis accuracy of the operating conditions of the wind turbine. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a structural block diagram of a remote monitoring system for a wind turbine;

[0045] Figure 2 is a judgment flow chart for analyzing whether the operating condition of the wind turbine is qualified;

[0046] Figure 3 is a judgment flow chart for secondarily judging the operating condition of the wind turbine;

[0047] Figure 4 is a judgment flow chart for analyzing the reason for the unqualified operating condition of the wind turbine. DETAILED DESCRIPTION OF THE INVENTION

[0048] In order to make the objectives and advantages of the present invention more clear, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0049] It should be noted that the data in this embodiment are obtained through comprehensive analysis and evaluation of the historical data of the previous six months before this determination by the system of the present invention and the corresponding historical determination results. Those skilled in the art can understand that the determination method of the system of the present invention for a single above-mentioned parameter can be to select the value with the highest proportion according to the data distribution as the preset standard parameter, use weighted summation to take the obtained value as the preset standard parameter, substitute each historical data into a specific formula and take the value obtained by using this formula as the preset standard parameter, or other selection methods, as long as it satisfies that the system of the present invention can clearly define different specific situations in the single determination process through the obtained values.

[0050] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention and do not limit the protection scope of the present invention.

[0051] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present invention.

[0052] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0053] Please refer to Figure 1 as shown, which is a structural block diagram of a remote monitoring system for a wind turbine.

[0054] The present invention provides a remote monitoring system for a wind turbine, including:

[0055] An environmental monitoring unit, which includes a plurality of salt spray collectors arranged at the measuring points to be measured of the wind turbine, and is used to monitor the salt spray concentration according to the salt spray settlement amount collected by the salt spray collectors within a predetermined time;

[0056] A kinetic energy receiving unit, which is connected to the environmental monitoring unit, includes a tower barrel, blades, and a rotor shaft connected to the blades through a rotating mechanism, and is used to receive wind energy and drive the rotor shaft to rotate by using the wind energy;

[0057] A cooling unit, which is connected to the kinetic energy receiving unit and cools the kinetic energy receiving unit through a number of water-conveying pipelines;

[0058] A detection unit, which is connected to the kinetic energy receiving unit and includes a temperature sensor arranged on the rotor shaft and a rotational speed detector arranged on the blade, for respectively detecting the temperature of the rotor shaft and the rotational speed of the blade;

[0059] A power generation unit, which is connected to the kinetic energy receiving unit and is used for converting the wind energy received by the kinetic energy receiving unit into electric energy;

[0060] A power generation amount detection unit, which is connected to the power generation unit and is used for periodically detecting the power generation amount;

[0061] An intelligent analysis unit, which is respectively connected to the environmental monitoring unit, the kinetic energy receiving unit, the cooling unit, the detection unit, the power generation unit and the power generation amount detection unit, and is used for analyzing whether the operation status of the wind turbine is qualified according to the power generation amount, secondly determining the operation status of the wind turbine based on the change of the power generation amount in each period in the historical data, and analyzing the reason for the unqualified operation status of the wind turbine based on the rotational speed of the blade.

[0062] Specifically, the present invention does not limit the specific structures of the environmental monitoring unit, the kinetic energy receiving unit, the cooling unit, the detection unit, the power generation unit and the power generation amount detection unit, and only needs to be able to realize the corresponding functions, which belong to the prior art and will not be elaborated here.

[0063] Specifically, the present invention does not limit the specific structure of the intelligent analysis unit, and it can be composed of logic components, and the logic components include a field programmable processor, a computer and a microprocessor in the computer.

[0064] Please refer to Figure 2 as shown, which is a determination flowchart for analyzing whether the operation status of the wind turbine is qualified.

[0065] Specifically, the intelligent analysis unit is used for analyzing whether the operation status of the wind turbine is qualified according to the power generation amount measured by the power generation amount detection unit in a single detection period, including:

[0066] If the power generation amount is greater than or equal to the first preset power generation amount, the intelligent analysis unit determines that the operation status of the wind turbine is qualified;

[0067] If the power generation amount is less than the first preset power generation amount and greater than or equal to the second preset power generation amount, then the intelligent analysis unit determines to secondly determine whether the operation status of the wind turbine is qualified based on the power generation amount in the historical data;

[0068] If the generated power is less than the second preset generated power, the intelligent analysis unit determines that the operating condition of the wind turbine is unqualified, and analyzes the reason for the unqualified based on the rotational speed of the blade.

[0069] Specifically, in this embodiment, the first preset generated power and the second preset generated power are obtained by pre-measurement. The generated powers of a number of wind turbines within a detection period are acquired, and the average value of the generated powers is solved. The first preset generated power is 0.95 times the average value of the generated powers, and the second preset generated power is 0.68 times the average value of the generated powers.

[0070] Specifically, in the present invention, the operating condition of the wind turbine is analyzed based on the generated power of the wind turbine. Considering that the power generation situation of the wind turbine is highly related to the environment it is in, such as the local wind force, thus when the generated power is low, a secondary analysis is performed based on the change of the generated power in the historical data. The slope of the generated power curve in the historical data is calculated. If the slope is large, it is determined that the wind turbine is in the starting state and the operating condition of the wind turbine is qualified. While when the slope is small, it is determined that the environmental condition causes the low generated power of the wind turbine, improving the control accuracy of the operating condition of the wind turbine, determining the corresponding processing method according to the analysis result, improving the timeliness of maintenance for the faults of the wind turbine, and reducing the waste of resources caused by shutdown maintenance.

[0071] Please refer to Figure 3 as shown, which is a flowchart for determining the operating condition of the wind turbine by secondary determination.

[0072] Specifically, the intelligent analysis unit secondarily determines the operating condition of the wind turbine based on the change of the generated power in each period of the historical data, including:

[0073] The intelligent analysis unit is used to acquire the generated power of each period within a predetermined time period measured by the generated power detection unit.

[0074] The intelligent analysis unit is used to draw a generated power - time curve based on the generated power of each acquired period, calculate the slope of each time node in the generated power - time curve, and solve the average value of the slopes.

[0075] If the average value of the slopes is greater than or equal to the preset slope standard threshold, the intelligent analysis unit determines that the operating condition of the wind turbine is qualified.

[0076] If the average value of the slopes is less than the preset slope standard threshold, the intelligent analysis unit determines that the environment is unqualified.

[0077] Specifically, in this embodiment, the preset slope standard threshold is obtained by pre-determination. The power generation amounts of several wind turbines in normal operating states are acquired within a predetermined time period, and power generation amount-time curves are respectively plotted. The average value of the slopes at each time node in each curve is solved, and the preset slope standard threshold is 0.82 times the average value of the slopes.

[0078] Specifically, under the condition that the environment is unqualified, the intelligent analysis unit plots a salt spray settlement amount-time curve according to the salt spray settlement amount measured by the environment monitoring unit, calculates the slope at each time node in the salt spray settlement amount-time curve, solves the average value of the slopes, and records the average value of the slopes as the settlement rate characterization.

[0079] The intelligent analysis unit adjusts the first preset power generation amount based on the settlement rate characterization, where

[0080] The reduction amount of the first preset power generation amount is positively correlated with the settlement rate characterization.

[0081] In this embodiment, optionally,

[0082] The settlement rate characterization is compared with the first preset settlement rate characterization and the second preset settlement rate characterization.

[0083] If the settlement rate characterization is less than or equal to the first preset settlement rate characterization, the first preset power generation amount is reduced to 0.75 times the initial first preset power generation amount;

[0084] If the settlement rate characterization is greater than the first preset settlement rate characterization and less than or equal to the second preset settlement rate characterization, the first preset power generation amount is reduced to 0.8 times the initial first preset power generation amount;

[0085] If the settlement rate characterization is greater than the second preset settlement rate characterization, the first preset power generation amount is reduced to 0.9 times the initial first preset power generation amount;

[0086] The salt spray settlement amounts of several offshore wind turbines are periodically detected respectively, and salt spray settlement amount-time curves corresponding to the positions of each wind turbine are respectively plotted. The average value of the slopes of each curve is solved, and the average value of each average value of the slopes is solved. The first preset settlement rate characterization is 0.78 times this average value, and the second preset settlement rate characterization is 0.93 times this average value.

[0087] Specifically, in the present invention, considering that offshore wind turbines are affected by salt spray, salt spray and other particles in the air form a covering layer on the blade surface under the action of blade static electricity. This covering layer changes the shape and texture of the blade surface, thereby affecting the flow characteristics of the air flow. The present invention determines the salt spray concentration in the environment where the current wind turbine is located by detecting the salt spray settlement amount, and then determines the interference degree of the salt spray on the wind turbine. When the salt spray settlement speed is too fast, the judgment criterion for the operating state of the fan is adjusted to avoid misjudgment caused by using the same criterion for different environments, thereby improving the analysis accuracy of the operating condition of the wind turbine.

[0088] Please refer to Figure 4 as shown, which is a judgment flow chart for analyzing the reasons for the unqualified operating condition of the wind turbine.

[0089] Specifically, the intelligent analysis unit analyzes the reasons for the unqualified operating condition of the wind turbine based on the rotation speed of the blade, including:

[0090] The intelligent analysis unit determines the average rotation speed of the blade.

[0091] If the average rotation speed is less than or equal to the preset average rotation speed, the intelligent analysis unit determines that the reason for the unqualified operating condition of the wind turbine is insufficient wind power.

[0092] If the average rotation speed is greater than the preset average rotation speed, the intelligent analysis unit determines a secondary judgment on the reason for the unqualified operating condition of the wind turbine based on the temperature of the rotor shaft measured by the detection unit.

[0093] Specifically, in this embodiment, the preset average rotation speed is obtained by pre-measurement. The average rotation speeds of the blades of several wind turbines in normal operating states within 24 hours are obtained, and the average value of the average rotation speeds of each wind turbine is solved. The preset average rotation speed is 0.91 times the average value of the average rotation speeds.

[0094] Specifically, in the present invention, the operating condition of the wind turbine is analyzed according to the rotation speed of the blade. When the rotation speed of the blade is small, it is determined that the wind power is too small, resulting in less power generation of the wind turbine. When the rotation speed of the blade is high, considering that the high temperature of the rotor shaft affects the operation of the generator, resulting in insufficient power generation, the reason for the unqualified operating condition of the generator is further analyzed according to the temperature of the rotor shaft, thereby improving the analysis accuracy of the operating condition of the wind turbine.

[0095] Specifically, the intelligent analysis unit is used to reduce the angle between the blade and the wind moving direction based on the average rotation speed.

[0096] Wherein, the reduction amount of the angle is positively correlated with the average rotation speed.

[0097] In this embodiment, optionally,

[0098] Compare the average rotational speed with the first preset average rotational speed and the second preset average rotational speed.

[0099] If the average rotational speed is less than or equal to the first preset average rotational speed, then decrease the first included angle, where the first included angle is 0.05 times the initial included angle.

[0100] If the average rotational speed is greater than the first preset average rotational speed and less than or equal to the second preset average rotational speed, then decrease the second included angle, where the second included angle is 0.08 times the initial included angle.

[0101] If the average rotational speed is greater than the second preset average rotational speed, then decrease the third included angle, where the third included angle is 0.12 times the initial included angle.

[0102] The first preset average rotational speed is 0.44 times the preset average rotational speed, and the second preset average rotational speed is 0.77 times the preset average rotational speed.

[0103] Specifically, the intelligent analysis unit is used to perform a secondary determination on the reason for the unqualified operation status of the wind turbine based on the temperature of the rotor shaft measured by the detection unit, including:

[0104] If the temperature of the rotor shaft is less than or equal to the preset temperature, then the intelligent analysis unit determines that the reason for the unqualified operation status of the wind turbine is a transmission problem.

[0105] If the temperature of the rotor shaft is greater than the preset temperature, then the intelligent analysis unit determines that the reason for the unqualified operation status of the wind turbine is unqualified heat dissipation treatment.

[0106] Specifically, in this embodiment, the preset temperature is obtained based on big data. The temperature range of the normal operation state of the rotor shaft is obtained based on big data, and this temperature range is the value range of the preset temperature.

[0107] Specifically, the intelligent analysis unit is used to adjust the flow rate of the water in the pipeline based on the temperature of the rotor shaft when the heat dissipation treatment is unqualified. Among them,

[0108] The increase in the flow rate is positively correlated with the temperature of the rotor shaft.

[0109] In this embodiment, optionally,

[0110] Compare the temperature of the rotor shaft with the first preset temperature and the second preset temperature.

[0111] If the temperature of the rotor shaft is less than or equal to the first preset temperature, then increase the first flow rate, where the first flow rate is 0.15 times the initial flow rate.

[0112] If the temperature of the rotor shaft is greater than the first preset temperature and less than or equal to the second preset temperature, increase the second flow rate, where the second flow rate is 0.2 times the initial flow rate.

[0113] If the temperature of the rotor shaft is greater than the second preset temperature, increase the third flow rate, where the third flow rate is 0.25 times the initial flow rate.

[0114] The first preset temperature is 1.22 times the preset temperature, and the second preset temperature is 1.41 times the preset temperature.

[0115] Specifically, when the intelligent analysis unit completes the adjustment of the water flow rate in the pipeline, it determines that the lubrication degree of the rotating mechanism is insufficient.

[0116] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0117] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A remote monitoring system for a wind turbine, characterized in that, Comprising: An environmental monitoring unit, which includes a number of salt spray collectors arranged at the points to be measured of the wind turbine, for monitoring the salt spray concentration according to the amount of salt spray sediment collected by the salt spray collectors within a predetermined time; A kinetic energy receiving unit, which is connected to the environmental monitoring unit, includes a tower barrel, blades and a rotor shaft connected to the blades through a rotating mechanism, for receiving wind energy and driving the rotor shaft to rotate by using the wind energy; A cooling unit, which is connected to the kinetic energy receiving unit, and cools the kinetic energy receiving unit through a number of pipelines for conveying water; A detection unit, which is connected to the kinetic energy receiving unit, includes a temperature sensor arranged on the rotor shaft and a rotational speed detector arranged on the blades, for respectively detecting the temperature of the rotor shaft and the rotational speed of the blades; A power generation unit, which is connected to the kinetic energy receiving unit, for converting the wind energy received by the kinetic energy receiving unit into electric energy; A power generation amount detection unit, which is connected to the power generation unit, for periodically detecting the power generation amount; An intelligent analysis unit, which is respectively connected to the environmental monitoring unit, the kinetic energy receiving unit, the cooling unit, the detection unit, the power generation unit and the power generation amount detection unit, for analyzing whether the operation status of the wind turbine is qualified according to the power generation amount, secondarily determining the operation status of the wind turbine based on the change of the power generation amount in each period in the historical data, and analyzing the reason for the unqualified operation status of the wind turbine based on the rotational speed of the blades; The intelligent analysis unit is used for analyzing whether the operation status of the wind turbine is qualified according to the power generation amount measured by the power generation amount detection unit in a single detection period, including: The intelligent analysis unit determines that the operation status of the wind turbine is qualified; The intelligent analysis unit secondarily determines whether the operation status of the wind turbine is qualified based on the power generation amount in the historical data, or determines that the operation status of the wind turbine is unqualified, and analyzes the reason for its unqualified based on the rotational speed of the blades; The intelligent analysis unit secondarily determines the operation status of the wind turbine based on the change of the power generation amount in each period in the historical data, including: The intelligent analysis unit is used for obtaining the power generation amount in each period within a predetermined time period measured by the power generation amount detection unit; The intelligent analysis unit is used for drawing a power generation amount - time curve based on the obtained power generation amount in each period, calculating the slope of each time node in the power generation amount - time curve, and solving the average value of the slopes; The intelligent analysis unit determines that the operation status of the wind turbine is qualified based on the average value of the slopes, or determines that the environment is unqualified; Under the condition that the environment is unqualified, the intelligent analysis unit draws a salt spray sediment amount - time curve according to the salt spray sediment amount measured by the environmental monitoring unit, calculates the slope of each time node in the salt spray sediment amount - time curve, solves the average value of the slopes, and records the average value of the slopes as the sedimentation rate characterization; The intelligent analysis unit adjusts the corresponding preset power generation amount based on the sedimentation rate characterization, wherein, The reduction amount of the corresponding preset power generation amount is positively correlated with the sedimentation rate characterization.

2. The remote monitoring system of a wind turbine according to claim 1, characterized in that, The intelligent analysis unit analyzes the reason for the unqualified operation status of the wind turbine based on the rotational speed of the blades, including: The intelligent analysis unit determines the average rotational speed of the blade. The intelligent analysis unit determines that the reason for the unqualified operating condition of the wind turbine based on the average rotational speed is insufficient wind force, or, makes a secondary determination of the reason for the unqualified operating condition of the wind turbine based on the temperature of the rotor shaft measured by the detection unit.

3. The remote monitoring system of a wind turbine according to claim 2, characterized in that, The intelligent analysis unit is used to reduce the angle between the blade and the wind movement direction based on the average rotational speed. Wherein, the reduction amount of the angle is positively correlated with the average rotational speed.

4. The remote monitoring system of a wind turbine according to claim 2, characterized in that, The intelligent analysis unit is used to make a secondary determination of the reason for the unqualified operating condition of the wind turbine based on the temperature of the rotor shaft measured by the detection unit, including: The intelligent analysis unit determines that the reason for the unqualified operating condition of the wind turbine based on the temperature of the rotor shaft is a transmission problem, or, determines that the reason for the unqualified operating condition of the wind turbine is unqualified heat dissipation treatment.

5. The remote monitoring system of a wind turbine according to claim 4, wherein The intelligent analysis unit is used to adjust the water flow rate in the pipeline based on the temperature of the rotor shaft when the heat dissipation treatment is unqualified, wherein, The increase amount of the flow rate is positively correlated with the temperature of the rotor shaft.

6. The remote monitoring system of a wind turbine according to claim 5, characterized in that, The intelligent analysis unit is used to determine that the lubrication degree of the rotating mechanism is insufficient when the adjustment of the water flow rate in the pipeline is completed.

7. A remote monitoring method for a wind turbine implementing the system according to any one of claims 1-6, characterized in that, Including: Periodically collecting the salt spray deposition amount to monitor the salt spray concentration, detecting the temperature of the rotor shaft and the rotational speed of the blade; Periodically detecting the power generation of the wind turbine, and analyzing whether the operating condition of the wind turbine is qualified based on the power generation in a single detection cycle, including; Making a secondary determination of whether the operating condition of the wind turbine is qualified according to the change of the power generation in each cycle in the historical data, or, analyzing the reason for its unqualified based on the rotational speed of the blade; Determining the corresponding treatment method based on the analysis result, including: Reducing the determination criterion for analyzing whether the operating condition of the wind turbine is qualified when it is determined that the operating condition of the wind turbine is unqualified in the secondary determination, reducing the angle between the blade and the wind movement direction when it is determined that the wind force is insufficient, and adjusting the water flow rate in the pipeline when it is determined that the heat dissipation is unqualified.

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