Control Method, Device, Storage Medium and Electronic Device of Anti-Icing System

Abstract

The present disclosure relates to a control method, device, storage medium and electronic device for an anti-icing system. The method includes: when it is determined that the wind turbine is about to ice in a preset time period, determining a first icing level of the wind turbine, determining a power output mode of the anti-icing system according to the icing level, heating the blades of the wind turbine based on the power output mode until a first set duration is reached, determining the power conversion efficiency of the wind turbine, and stopping the anti-icing system when the power conversion efficiency reaches a set efficiency threshold and the duration of the power conversion efficiency reaches a second set duration. Thereby, the start and stop control of the anti-icing system is made more accurate, the energy consumption of the system is reduced, and the intelligent level of the anti-icing system is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of automatic control, and in particular, to a control method, device, storage medium and electronic device for an anti-icing system. Background Art

[0002] In mountainous areas with low temperature and high humidity, icing problems occur all year round, and the economic losses caused by icing on wind turbine blades are huge every year. In related technologies, electrothermal or gas thermal anti-icing / de-icing technologies have been widely applied in the field of wind turbine blade anti-icing due to advantages such as fast response, good economy, and long service life. However, to achieve the anti-icing effect through electrothermal or gas thermal means, a large amount of energy is consumed. Starting too early will increase power consumption, and starting too late will cause serious icing on the blades, and even cause the wind turbine to malfunction. Therefore, how to reasonably and scientifically formulate control strategies and methods for the anti-icing system has become an urgent technical problem to be solved. Summary of the Invention

[0003] To overcome the problems in the related technologies, an object of the present disclosure is to provide a control method, device, storage medium and electronic device for an anti-icing system.

[0004] According to a first aspect of an embodiment of the present disclosure, there is provided a control method for an anti-icing system, including:

[0005] When it is determined that the wind turbine is about to ice within a preset time period, determining a first icing level of the wind turbine;

[0006] Determining a power output mode of the anti-icing system according to the icing level;

[0007] When heating the wind turbine blades based on the power output mode reaches a first set duration, determining the electric energy conversion efficiency of the wind turbine;

[0008] When the electric energy conversion efficiency reaches a set efficiency threshold and the continuous duration of the electric energy conversion efficiency reaches a second set duration, stopping the anti-icing system.

[0009] Optionally, the determining that the wind turbine is about to ice within a preset time period includes:

[0010] Determining a predicted state feature of the wind turbine within the preset time period;

[0011] When it is determined according to the icing prediction module that the predicted state feature matches a preset icing feature, determining that the wind turbine is about to ice.

[0012] Optionally, the determining the first icing level of the wind turbine includes:

[0013] Obtain the meteorological data of the environment where the wind turbine is located;

[0014] According to the meteorological data, determine the first icing level of the wind turbine through the icing prediction module.

[0015] Optionally, the obtaining of the meteorological data of the environment where the wind turbine is located includes:

[0016] Collect the temperature information and icing information of the environment according to the icing sensors on the corresponding blades of the wind turbine to generate the meteorological data.

[0017] Optionally, the method further includes:

[0018] When the power conversion efficiency does not reach the set efficiency threshold, heat the wind turbine based on the power output mode.

[0019] When the power conversion efficiency reaches the set efficiency threshold and the continuous duration of the power conversion efficiency reaches the second set duration, stop the anti-icing system.

[0020] Optionally, the method further includes:

[0021] Perform a fault detection on the anti-icing system to generate a detection report;

[0022] When it is determined according to the detection report that the anti-icing system has no fault, start the anti-icing system;

[0023] When it is determined according to the detection report that the anti-icing system has a fault, stop the anti-icing system.

[0024] According to the second aspect of the embodiments of the present disclosure, there is provided a control device for an anti-icing system, including:

[0025] A first determination module, configured to determine the first icing level of the wind turbine when it is determined that the wind turbine is about to ice within a preset time period;

[0026] A second determination module, configured to determine the power output mode of the anti-icing system according to the first icing level;

[0027] A third determination module, configured to determine the power conversion efficiency of the wind turbine when heating the wind turbine based on the power output mode reaches a first set duration;

[0028] An execution module, configured to stop the anti-icing system when the power conversion efficiency reaches the set efficiency threshold and the continuous duration of the power conversion efficiency reaches the second set duration.

[0029] Optionally, the first determination module may further be configured to:

[0030] Determine the predicted state characteristics of the wind turbine within the preset time period;

[0031] When it is determined according to the icing prediction module that the predicted state characteristics match the preset icing characteristics, determine that the wind turbine is about to ice.

[0032] According to a third aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium, on which computer program instructions are stored, and when the program instructions are executed by a processor, the steps of the control method of the anti-icing system provided in the first aspect of the present disclosure are implemented.

[0033] According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic device, including:

[0034] A memory, on which a computer program is stored;

[0035] A processor, configured to execute the computer program in the memory to implement the steps of the control method of the anti-icing system according to any one of the first aspects of the present disclosure.

[0036] Through the above technical solutions, when it is determined that the wind turbine is about to ice within the preset time period, the first icing level of the wind turbine is determined, the power output mode of the anti-icing system is determined according to the icing level, and when heating the blades of the wind turbine based on the power output mode reaches the first set duration, the power conversion efficiency of the wind turbine is determined. When the power conversion efficiency reaches the set efficiency threshold and the continuous duration of the power conversion efficiency reaches the second set duration, the anti-icing system is stopped. Thus, the icing state of the wind turbine is predicted, the power output mode of the anti-icing system is determined according to the icing level of the wind turbine to heat the wind turbine, and when the power conversion efficiency of the wind turbine reaches the threshold and lasts for a set duration, the anti-icing system is stopped. This makes the start and stop control of the anti-icing system more accurate, reduces the energy consumption of the system, and improves the intelligent level of the anti-icing system.

[0037] Other features and advantages of the present disclosure will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The drawings are used to provide a further understanding of the present disclosure, and constitute a part of the specification, and are used to explain the present disclosure together with the following specific implementation manners, but do not constitute a limitation to the present disclosure. In the drawings:

[0039] Figure 1 is a flowchart of a control method of an anti-icing system shown according to an exemplary embodiment.

[0040] Figure 2 It is a flowchart of a control method for another ice shedding and icing prevention system shown according to an exemplary embodiment.

[0041] Figure 3 It is a schematic diagram of a wind turbine shown according to an exemplary embodiment.

[0042] Figure 4 It is a flowchart of a training method for an icing prediction model shown according to an exemplary embodiment.

[0043] Figure 5 It is a block diagram of an anti-icing control system shown according to an exemplary embodiment.

[0044] Figure 6 It is a flowchart of a control method for an anti-icing system shown according to an exemplary embodiment.

[0045] Figure 7 It is a block diagram of a control device for an anti-icing system shown according to an exemplary embodiment.

[0046] Figure 8 It is a block diagram of an electronic device shown according to an exemplary embodiment.

[0047] Description of Reference Numerals

[0048] Ice sensor - 1, ice sensor - 2, ice sensor - 3, blade - 4, hub - 5, nacelle - 6, tower - 7. Detailed Embodiments

[0049] The following provides a detailed description of the specific embodiments of the present disclosure with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for the purpose of illustrating and explaining the present disclosure, and are not intended to limit the present disclosure.

[0050] It should be noted that all actions of obtaining signals, information, or data in the present disclosure are carried out on the premise of complying with the corresponding data protection regulations and policies of the country where the location is located, and with the authorization given by the owner of the corresponding device.

[0051] In the prior art, there are methods for icing monitoring based on methods such as the power curve method, video monitoring method, ice layer optical property method, and vibration frequency method. When icing is detected, the anti-icing system is activated. However, in some scenarios where icing occurs rapidly and severely, the delayed activation of the anti-icing system can easily lead to an increase in the self-power consumption of the electrothermal or pneumatic heating system, and even cause severe icing of the wind turbine and inability to start.

[0052] In the prior art, all belong to real-time monitoring rather than icing prediction, and the icing situation cannot be predicted in advance. Meteorological agencies have icing prediction or early warning, but the spatial scale is relatively large, and it is impossible to achieve accurate prediction of single wind turbines in a wind farm. The low accuracy cannot meet the application requirements of the anti-icing system.

[0053] The power curve error method is to compare the power curve during normal operation together with the measurement of temperature and atmospheric pressure. When applying, an index can be set, such as a 50% power loss as a sign of icing to stop the wind turbine or turn on the de-icing equipment. However, through calculation and comparison with the actual production power, it can be seen that this method cannot give an accurate icing indication and requires continuous monitoring of the environmental state of the wind turbine.

[0054] The video monitoring method refers to installing a network camera on the wind turbine to monitor the icing condition of the blades. However, this method is only suitable for short-term monitoring because visual monitoring requires sufficient visibility, and artificial light sources are needed for continuous monitoring at night, and these costs are very high.

[0055] The light reflection method is a relatively simple method for monitoring icing based on the reflection performance of the ice layer after the blade is iced. However, when the icing is very thin and transparent, such as freezing rain, the transparent thin ice layer has almost no effect on the light reflection path, resulting in the method being unable to give effective results.

[0056] In view of this, the embodiments of the present disclosure propose a control method for an anti-icing system. Figure 1 It is a flowchart of a control method for an anti-icing system shown according to an exemplary embodiment, as Figure 1 shown. This method is applied to a wind turbine and includes the following steps.

[0057] Step S101, when it is determined that the wind turbine is about to ice within a preset time period, determine the first icing level of the wind turbine.

[0058] It is worth mentioning that the embodiments of the present disclosure are applied to a wind turbine to heat the wind turbine by controlling the anti-icing system so that the wind turbine can still operate normally in an extremely harsh cold environment. Among them, the anti-icing system can be an electrothermal anti-icing system that heats the wind turbine by electricity, or a gas-heated anti-icing system that burns gaseous fuels such as natural gas to provide heat for the wind turbine to prevent the wind turbine from icing and shutting down. Usually, the icing shutdown of a wind turbine needs to go through the process of rain and dew - freezing point - icing - covering - shutdown. By detecting the icing state at each position on the blade of the wind turbine, it is possible to predict whether the wind turbine will be covered with ice under the influence of the external environment within a preset time.

[0059] Under different environmental conditions, the severity of icing on wind turbines varies. For example, when a wind turbine is in a rime environment at -5°C, the icing degree of the wind turbine is relatively low, and the corresponding icing level is relatively low; when a wind turbine is in a glaze environment at -30°C, the icing degree of the wind turbine is relatively high, and the corresponding icing level is relatively high. Therefore, in the embodiments of the present disclosure, according to the icing state of the wind turbine blades, the icing degree of the wind turbine is pre-divided into multiple icing levels. By monitoring the icing parameters on the wind turbine blades, the icing level of the wind turbine within a preset time period can be determined. For example, the preset time can be set within 2 hours. It is determined whether the wind turbine is about to ice within 2 hours through a monitoring device disposed on the wind turbine blades, and according to the icing parameters detected by the monitoring device, the first icing level of the wind turbine is determined.

[0060] Step S102, determine the power output mode of the anti-icing system according to the icing level.

[0061] For example, in the embodiments of the present disclosure, the anti-icing system corresponds to multiple power output modes, and the heating efficiencies corresponding to the respective power output modes are different. For example, it may include a high power output mode, a medium power output mode, and a low power output mode. It is worth mentioning that the heat absorption efficiency of the wind turbine is different under different icing levels. When the wind turbine is in a low icing level, heating the wind turbine in the high power output mode may cause the problem of energy waste of the anti-icing system because the heat absorption efficiency of the wind turbine does not match the power output mode of the anti-icing system, resulting in the heat generated by the anti-icing system not being well absorbed by the wind turbine. Therefore, through limited experiments, the power output mode with the highest absorption efficiency under each icing level of the wind turbine is determined, and a one-to-one correspondence between each icing level and each power output mode is established. By reading this correspondence, the power output mode of the anti-icing system corresponding to the icing level can be determined.

[0062] Step S103, when heating the wind turbine blades based on the power output mode reaches the first set duration, determine the electric energy conversion efficiency of the wind turbine.

[0063] It is worth mentioning that the blades of the wind turbine are heated through the anti-icing system to prevent the blades of the wind turbine from freezing and unable to rotate, which may cause the wind turbine to fail to generate electricity normally. However, to avoid overheating of the wind turbine due to excessive heating during the heating process, it is necessary to detect the working state of the wind turbine after heating for a certain period of time to avoid energy waste caused by overheating. In the embodiments of the present disclosure, after the anti-icing system is controlled to heat the blades of the wind turbine based on the power output mode for a first set duration, the power conversion efficiency of the wind turbine is determined. The power conversion efficiency is the ratio of the actual output power to the rated output power. By determining the power conversion efficiency, it is determined whether the wind turbine is in a normal working state after being heated by the anti-icing system, so as to determine whether it is necessary to continue heating the blades of the wind turbine based on the power output mode. For example, it is determined that the first set duration is 10 minutes. After the anti-icing system is controlled to continuously heat the blades of the wind turbine based on the power output mode for 10 minutes, the power conversion efficiency of the wind turbine is determined.

[0064] Step S104, when the power conversion efficiency reaches the set efficiency threshold and the duration of the power conversion efficiency reaches the second set duration, stop the anti-icing system.

[0065] For example, a wind turbine is a device that converts wind energy into electrical energy. The blades of the wind turbine are rotated by the wind in the environment, and the blades drive the generator to generate electricity. Whether the operating state of the wind turbine is abnormal is mainly verified through the power conversion efficiency of the wind turbine. The set efficiency threshold of the power conversion efficiency of the wind turbine in the normal working state is determined through limited tests. When it is determined that the power conversion rate reaches the set efficiency threshold, the duration of the wind turbine maintaining this power conversion efficiency is determined. When this duration reaches the second set duration, it indicates that the wind turbine can stably maintain a normal working state after continuous heating by the anti-icing system. At this time, the anti-icing system is stopped from heating to save energy. For example, it is determined that the set efficiency threshold is 85%, and the second set duration is 20 minutes. After being heated by the anti-icing system, the power conversion rate of the wind turbine can reach more than 85%, and when the duration of this power conversion rate reaches 20 minutes, the anti-icing system is controlled to stop heating.

[0066] Through the above technical solutions, when it is determined that the wind turbine is about to ice within a preset time period, the first icing level of the wind turbine is determined. According to the icing level, the power output mode of the anti-icing system is determined. When heating the blades of the wind turbine based on the power output mode reaches a first set duration, the power conversion efficiency of the wind turbine is determined. When the power conversion efficiency reaches a set efficiency threshold and the duration of the power conversion efficiency reaches a second set duration, the anti-icing system is stopped. Thus, the icing state of the wind turbine is predicted. According to the icing level of the wind turbine, the power output mode of the anti-icing system is determined to heat the wind turbine. After the power conversion efficiency of the wind turbine reaches the threshold and lasts for a set duration, the anti-icing system is stopped. This makes the start and stop control of the anti-icing system more accurate, reduces the energy consumption of the system, and improves the intelligent level of the anti-icing system.

[0067] Figure 2 is a flowchart of another control method for an anti-icing system shown according to an exemplary embodiment, as Figure 2 shown. This method is applied to a wind turbine and includes the following steps.

[0068] Step S201, determine the predicted state characteristics of the wind turbine within a preset time period.

[0069] In the embodiments of the present disclosure, the state characteristics of the wind turbine can be determined by setting icing sensors at various positions on the blades of the wind turbine. For example, Figure 3 is a schematic diagram of a wind turbine shown according to an exemplary embodiment, as Figure 3 shown. The wind turbine includes icing sensor 1, icing sensor 2, icing sensor 3, blade 4, hub 5, nacelle 6, and tower 7. Icing sensor 1 is set at the position corresponding to the tip of blade 4, icing sensor 2 is set at the position corresponding to the middle of blade 4, and icing sensor 3 is set at the position corresponding to the root of blade 4. The predicted state characteristics of the wind turbine are detected by icing sensor 1, icing sensor 2, and icing sensor 3, making the obtained predicted state characteristics more accurate.

[0070] Step S202, when it is determined according to the icing prediction module that the predicted state characteristics match the preset icing characteristics, determine that the wind turbine is about to ice.

[0071] It is worth mentioning that in the embodiments of the present disclosure, the wind turbine can be predicted for icing through an icing prediction module. The icing prediction module includes an icing prediction model, and the wind turbine is predicted for icing through this model. For example, Figure 4 is a flowchart of a training method for an icing prediction model shown according to an exemplary embodiment, as Figure 4 shown. The training method includes the following steps.

[0072] (1) Extract the icing characteristic values of different icing types such as rime, glaze, and snow glaze according to the measured data on site;

[0073] (2) Normalize the obtained icing characteristic values to generate model training data;

[0074] (3) Perform icing prediction training on the icing prediction model according to the model training data;

[0075] (4) Compare the prediction data obtained through the icing prediction model with the measured data to determine whether they are consistent;

[0076] (5) Obtain the icing prediction model until the prediction data is consistent with the measured data.

[0077] Set the icing prediction model obtained after the above training in the icing prediction module, and determine whether the predicted state characteristics match the preset icing characteristics through the icing prediction module, so as to determine whether the wind turbine is iced.

[0078] Step S203, determine the first icing level of the wind turbine.

[0079] Exemplarily, the method for determining the first icing level in the embodiments of the present disclosure is the same as that in step S101 above, and reference can be made to step S101, which will not be elaborated here.

[0080] Optionally, the above step S203 includes:

[0081] Obtain the meteorological data of the environment where the wind turbine is located.

[0082] According to the meteorological data, determine the first icing level of the wind turbine through the icing prediction module.

[0083] Exemplarily, the meteorological data of the environment where the wind turbine is located is detected by sensors installed on the wind turbine. The meteorological data may include the wind speed, temperature, humidity, supercooled water droplet diameter, liquid water content, etc. of the environment where the wind turbine is located. Analyze the meteorological data through the icing prediction module in the above steps to determine the first icing level of the wind turbine.

[0084] Optionally, the above step of obtaining meteorological data includes:

[0085] Collect the temperature information and icing information of the environment where the wind turbine is located according to the icing sensors on the corresponding blades of the wind turbine to generate meteorological data.

[0086] It is worth mentioning that the working principle of a wind turbine is to drive a generator to generate electricity through blades. Therefore, it is necessary to ensure that the blades of the wind turbine are not affected by icing. For example, in the embodiments of the present disclosure, a plurality of icing sensors are arranged at different positions of the blades of the wind turbine to ensure the accuracy of meteorological data collection. The meteorological data of the environment where the wind turbine is located is collected through the icing sensors.

[0087] Step S204, determine the power output mode of the anti-icing system according to the icing level.

[0088] For example, in the embodiments of the present disclosure, the method for determining the power output mode is the same as that in the above step S102, and reference can be made to the above step S102, which will not be elaborated here.

[0089] Optionally, after the above step S204, the control method includes:

[0090] Perform a fault detection on the anti-icing system to generate a detection report.

[0091] When it is determined according to the detection report that the anti-icing system has no faults, start the anti-icing system.

[0092] When it is determined according to the detection report that the anti-icing system has faults, stop the anti-icing system.

[0093] For example, after determining the power output mode of the anti-icing system through the above steps, it is necessary to first perform a fault detection on the anti-icing system to determine whether the anti-icing system can work properly. When the anti-icing system fails, stop the anti-icing system and send a fault alarm to relevant staff. When the anti-icing system has no faults, start the anti-icing system to heat the wind turbine.

[0094] Step S205, when heating the blades of the wind turbine based on the power output mode reaches the first set duration, determine the power conversion efficiency of the wind turbine.

[0095] For example, in the embodiments of the present disclosure, the method for determining the power conversion efficiency is the same as that in the above step S103, and reference can be made to the above step S103, which will not be elaborated here.

[0096] Step S206, when the power conversion efficiency reaches the set efficiency threshold and the continuous duration of the power conversion efficiency reaches the second set duration, stop the anti-icing system.

[0097] In the embodiments of the present disclosure, the method for stopping the anti-icing system is the same as that in the above step S104, and reference can be made to the above step S104, which will not be elaborated here.

[0098] Optionally, after the above step S206, the control method further includes:

[0099] When the power conversion efficiency fails to reach the set efficiency threshold, heat the wind turbine based on the power output mode.

[0100] When the power conversion efficiency reaches the set efficiency threshold and the duration of the power conversion efficiency reaches the second set duration, stop the anti-icing system.

[0101] When the power conversion efficiency of the wind turbine does not reach the set efficiency threshold after heating the wind turbine for the first set duration through the power output mode, it is necessary to continue heating the wind turbine through the anti-icing system based on this power output mode. For example, after heating the wind turbine for the first set duration again based on the power output mode, the power conversion efficiency of the wind turbine can be detected. When the power conversion efficiency reaches the set efficiency threshold and the duration reaches the second set duration, stop the anti-icing system; when the power conversion efficiency of the wind turbine still does not reach the set efficiency threshold after heating for two first set durations, the icing level of the wind turbine can be re-determined based on the icing detection model to obtain the second icing level, and then the target power output mode can be determined according to the second icing level, so that the power output mode of the anti-icing system is increased to the target power output mode, and then the wind turbine is heated based on this target power output mode until the power conversion efficiency of the wind turbine reaches the set efficiency threshold and the duration reaches the second set duration, and then stop the anti-icing system.

[0102] Through the above technical solution, when it is determined that the wind turbine is about to ice within a preset time period, determine the first icing level of the wind turbine, determine the power output mode of the anti-icing system according to the icing level, heat the blades of the wind turbine based on the power output mode, and when the first set duration is reached, determine the power conversion efficiency of the wind turbine. When the power conversion efficiency reaches the set efficiency threshold and the duration of the power conversion efficiency reaches the second set duration, stop the anti-icing system. Thus, predict the icing state of the wind turbine, determine the power output mode of the anti-icing system according to the icing level of the wind turbine to heat the wind turbine, and stop the anti-icing system after the power conversion efficiency of the wind turbine reaches the threshold and the set duration. Make the start and stop control of the anti-icing system more accurate, reduce the energy consumption of the system, and improve the intelligent level of the anti-icing system.

[0103] Figure 5 is a block diagram of an anti-icing control system shown according to an exemplary embodiment, as Figure 5 shown, the system includes a micro-meteorological icing prediction module, a blade icing detection module, an anti-icing system control cabinet, a slip ring, a tap box, a blade control cabinet, heater 10, heater 20, and heater 30.

[0104] The micro-meteorological icing prediction module can provide accurate icing prediction and warning for 2 hours. An icing monitoring sensor is arranged on each of the three blades of the wind turbine, and the installation positions are the tip of the first blade, the leading edge of the middle section of the second blade, and the root of the third blade. The blade icing monitoring module judges the icing situation of the blade through the icing monitoring sensor. Among them, when making a judgment, the result of the middle-section sensor is the main one, and the other two sensors are used for icing verification. The function of the slip ring is to supply power to the tapping box, the blade control cabinet, and the heater 10 - 30, and at the same time has the function of data communication. The anti-icing control cabinet receives the icing monitoring and prediction data to make an icing judgment, and starts and stops the heater 10 - 30 according to the preset icing control process.

[0105] Figure 6 is a flowchart of a control method for an anti-icing system shown according to an exemplary embodiment, as Figure 6 shown. The control method includes the following steps.

[0106] 1. The micro-meteorological icing prediction module predicts the icing situation of the wind turbine 2 hours in advance to obtain icing information and feedback the signal to the anti-icing control system. If it is predicted that there will be no icing after 2 hours, the anti-icing system will not be started. If it is predicted that there will be icing after 2 hours, the next judgment is required.

[0107] 2. Judge whether there is a fault in the anti-icing system. If there is a fault, the system will not be started and an alarm signal will be sent; if there is no fault, judge the icing level through the blade icing monitoring module, and determine the power output mode of the anti-icing system according to this icing level; if the icing level is low, start the low-power output mode to heat the wind turbine; if the icing level is high, start the high-power output mode to heat the wind turbine;

[0108] 3. Every 10 minutes, judge whether the power conversion efficiency of the wind turbine is higher than 85% and lasts for 20 minutes. If it is satisfied, control the anti-icing system to stop heating; if it is not satisfied, continue to heat the wind turbine based on this power output mode until the power conversion efficiency is higher than 85% and lasts for 20 minutes, then control the anti-icing system to stop heating.

[0109] Figure 7 is a block diagram of a control device for an anti-icing system shown according to an exemplary embodiment, as Figure 7 shown. The device 100 includes a first determination module 110, a second determination module 120, a third determination module 130, and an execution module 140.

[0110] The first determination module 110 is used to determine the first icing level of the wind turbine when it is determined that the wind turbine will ice within a preset time period.

[0111] The second determination module 120 is configured to determine the power output mode of the anti-icing system according to the first icing level.

[0112] The third determination module 130 is configured to determine the power conversion efficiency of the wind turbine when heating the wind turbine based on the power output mode reaches a first set duration.

[0113] The execution module 140 is configured to stop the anti-icing system when the power conversion efficiency reaches a set efficiency threshold and the continuous duration of the power conversion efficiency reaches a second set duration.

[0114] Optionally, the first determination module 110 further includes:

[0115] The first determination sub-module is configured to determine the predicted state characteristics of the wind turbine within a preset time period.

[0116] The second determination sub-module is configured to determine that the wind turbine is about to ice when it is determined that the predicted state characteristics match the preset icing characteristics according to the icing prediction module.

[0117] Optionally, the first determination module 110 may further include:

[0118] The acquisition sub-module is configured to acquire the meteorological data of the environment where the wind turbine is located.

[0119] The third determination sub-module is configured to determine the first icing level of the wind turbine through the icing prediction module according to the meteorological data.

[0120] Optionally, the acquisition sub-module may further be configured to:

[0121] Collect the temperature information and icing information of the environment where the wind turbine is located according to the icing sensors on the corresponding blades of the wind turbine to generate meteorological data.

[0122] Optionally, the device 100 may further include a first determination module, and the first determination module is configured to:

[0123] When the power conversion efficiency does not reach the set efficiency threshold, heat the wind turbine based on the power output mode.

[0124] When the power conversion efficiency reaches the set efficiency threshold and the continuous duration of the power conversion efficiency reaches the second set duration, stop the anti-icing system.

[0125] Optionally, the device 100 may further include a second determination module, and the second determination module is configured to:

[0126] Perform a fault detection on the anti-icing system to generate a detection report.

[0127] When it is determined according to the inspection report that the anti-icing system has no faults, start the anti-icing system.

[0128] When it is determined according to the inspection report that the anti-icing system has faults, stop the anti-icing system.

[0129] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0130] Figure 8 is a block diagram of an electronic device shown according to an exemplary embodiment. As Figure 8 shown, the electronic device 800 may include: a processor 801, a memory 802. The electronic device 800 may further include one or more of a multimedia component 803, an input / output (I / O) interface 804, and a communication component 805.

[0131] Among them, the processor 801 is used to control the overall operation of the electronic device 800 to complete all or part of the steps in the above-mentioned control method of the anti-icing system. The memory 802 is used to store various types of data to support the operation of the electronic device 800. These data may include, for example, instructions for any application or method operating on the electronic device 800, as well as application-related data, such as contact data, sent and received messages, pictures, audio, video, and so on. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disc. The multimedia component 803 may include a screen and an audio component. Among them, the screen may be a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone, and the microphone is used to receive external audio signals. The received audio signals may be further stored in the memory 802 or sent through the communication component 805. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 804 provides an interface between the processor 801 and other interface modules, and the above-mentioned other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the electronic device 800 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 4G, 5G, NB-IoT, eMTC, or other 5G, etc., or a combination of one or several of them, is not limited herein. Therefore, the corresponding communication component 805 may include: a Wi-Fi module, a Bluetooth module, an NFC module, and so on.

[0132] In an exemplary embodiment, the electronic device 800 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components, and is used to execute the control method of the anti-icing system described above.

[0133] In another exemplary embodiment, a computer-readable storage medium including program instructions is further provided. When the program instructions are executed by a processor, the steps of the control method of the anti-icing system described above are implemented. For example, the computer-readable storage medium may be the memory 802 including the program instructions described above, and the above program instructions may be executed by the processor 801 of the electronic device 800 to complete the control method of the anti-icing system described above.

[0134] In another exemplary embodiment, a computer program product is further provided. The computer program product includes a computer program that can be executed by a programmable device, and the computer program has a code portion for executing the control method of the anti-icing system described above when executed by the programmable device.

[0135] The preferred embodiments of the present disclosure have been described in detail above in conjunction with the accompanying drawings. However, the present disclosure is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0136] In addition, it should be noted that, among the various specific technical features described in the above specific embodiments, they can be combined in any suitable manner without conflict.

[0137] In addition, any combination can be made between various different embodiments of the present disclosure as long as it does not violate the idea of the present disclosure, and it should also be regarded as the content disclosed by the present disclosure.

Claims

1. A control method for an anti-icing system, characterized in that Including: When it is determined that the wind turbine is about to ice within a preset time period, determining a first icing level of the wind turbine; Determining a power output mode of the anti-icing system according to the first icing level; When heating the wind turbine based on the power output mode reaches a first set duration, determining the power conversion efficiency of the wind turbine; When the power conversion efficiency reaches a set efficiency threshold and the continuous duration of the power conversion efficiency reaches a second set duration, stopping the anti-icing system; The determination that the wind turbine is about to ice within the preset time period includes: Determining a predicted state feature of the wind turbine within the preset time period through icing sensors set at various positions of the wind turbine blades; When it is determined according to an icing prediction model included in the icing prediction module that the predicted state feature matches a preset icing feature, determining that the wind turbine is about to ice; The determination of the first icing level of the wind turbine includes: Obtaining meteorological data of the environment where the wind turbine is located; According to the meteorological data, determining the first icing level of the wind turbine through an icing prediction model included in the icing prediction module.

2. The control method according to claim 1, characterized in that The obtaining of the meteorological data of the environment where the wind turbine is located includes: Collecting temperature information and icing information of the environment according to icing sensors on the corresponding blades of the wind turbine to generate the meteorological data.

3. The control method according to claim 1, characterized in that The method further includes: When the power conversion efficiency does not reach the set efficiency threshold, heating the wind turbine based on the power output mode; When the power conversion efficiency reaches the set efficiency threshold and the continuous duration of the power conversion efficiency reaches the second set duration, stopping the anti-icing system.

4. The control method according to claim 1, wherein The method further includes: Performing a fault detection on the anti-icing system to generate a detection report; When it is determined according to the detection report that the anti-icing system has no fault, starting the anti-icing system; When it is determined according to the detection report that the anti-icing system has a fault, stopping the anti-icing system.

5. A control device for an anti-icing system, characterized in that, Including: A first determination module, configured to determine a first icing level of the wind turbine when it is determined that the wind turbine is about to ice within a preset time period; A second determination module, configured to determine a power output mode of the anti-icing system according to the first icing level; A third determination module, configured to determine the power conversion efficiency of the wind turbine when heating the wind turbine based on the power output mode reaches a first set duration; An execution module, configured to stop the anti-icing system when the power conversion efficiency reaches a set efficiency threshold and the continuous duration of the power conversion efficiency reaches a second set duration; The first determination module is configured to: determine a predicted state feature of the wind turbine within the preset time period through icing sensors set at various positions of the wind turbine blades; When it is determined according to the icing prediction module that the predicted state feature matches a preset icing feature, determining that the wind turbine is about to ice; Determining the first icing level of the wind turbine includes: Obtaining meteorological data of the environment where the wind turbine is located; According to the meteorological data, determining the first icing level of the wind turbine through the icing prediction model included in the icing prediction module.

6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, it implements the steps of the control method of the anti-icing system according to any one of claims 1-4.

7. An electronic device, characterized in that, It includes: A memory storing a computer program thereon; A processor for executing the computer program in the memory to implement the steps of the control method of the anti-icing system according to any one of claims 1-4.

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