Fan shaft torque determination method and device, storage medium and electronic device

Abstract

The invention discloses a method and device for determining the torque of a fan shaft, a storage medium and an electronic device.The method comprises the steps that deformation signals sent by strain gauges at the two ends of the fan shaft in each fan installed in a wind turbine generator are obtained, the deformation signal is used for indicating a first deformation quantity of one end of the fan shaft under the action of a torque and a second deformation quantity of the other end of the fan shaft under the action of the torque; calculating a difference value between the first deformation quantity and the second deformation quantity; and the target torque of the fan shaft in each fan is determined according to the difference value and a target formula. Through the method, the problem that the fan torque can only be verified through the motor current and the gearbox torque and cannot be directly measured in the prior art can be solved.

Description

Technical Field

[0001] The present application relates to the field of wind power, and in particular, to a method and device for determining wind turbine shaft torque, a storage medium, and an electronic device. Background Art

[0002] The direct air cooling system in a thermal power plant mainly consists of the main exhaust steam pipeline, heat exchanger, axial flow fan unit and condensate recovery device. The main components of the fan unit are frequency conversion motor, reduction gear box, hub disc, impeller and wind tube. The operator monitors the fan output through the inverter output current.

[0003] At present, the torque of air cooling system design mainly comes from the torque curve provided by the fan manufacturer. Designers determine the torque according to the fan selection during the design process, and then design the torque of the gearbox and motor. The fan torque can only be verified by the motor current and gearbox torque, and the fan power torque cannot be directly measured.

[0004] There is no effective solution yet for the problem that in related technologies, the fan torque can only be verified through the motor current and the gearbox torque, but cannot be directly measured. Summary of the invention

[0005] The embodiments of the present application relate to a method and device for determining the shaft torque of a fan, a storage medium and an electronic device. Through the embodiments of the present application, the problem in the related art that the fan torque can only be verified by the motor current and the gearbox torque, but the fan torque cannot be directly measured can be solved.

[0006] According to one embodiment of the embodiments of the present application, a method for determining the torque of a wind turbine shaft is provided, comprising: obtaining deformation signals sent by strain gauges at both ends of a wind turbine shaft in each wind turbine installed in a wind turbine group, wherein the deformation signal is used to indicate a first deformation amount of one end of the wind turbine shaft under the action of torque and a second deformation amount of the other end of the wind turbine shaft under the action of the torque; calculating the difference between the first deformation amount and the second deformation amount; and determining the target torque of the wind turbine shaft in each wind turbine according to the difference and a target formula.

[0007] In an exemplary embodiment, determining the target torque of the fan shaft in each fan according to the difference and the target formula includes: determining the target torque by the following formula: Wherein, T is the target torque, ε is the difference, E is the material elastic coefficient, Z p is the polar interface modulus, and ν is the Poisson's ratio.

[0008] In an exemplary embodiment, the target torque of the wind turbine shaft in each wind turbine is determined according to the difference and the target formula, including: dividing the wind direction into multiple wind direction areas, and dividing the wind speed corresponding to each wind turbine into multiple wind speed levels; when it is determined that each wind turbine in the wind turbine group is in the target wind direction area of ​​the multiple wind direction areas, and the multiple wind speeds are the target wind speed levels among the multiple wind speed levels, determining the first torque corresponding to each wind turbine, and calculating the torque mean corresponding to the multiple first torques; performing risk monitoring on each wind turbine according to each first torque and the torque mean to determine whether each wind turbine has a failure risk.

[0009] In an exemplary embodiment, risk monitoring is performed on each wind turbine based on each first torque and the torque mean to determine whether each wind turbine has a failure risk, including: calculating a first product of the torque mean and a first numerical value, and respectively determining a first size relationship between the multiple first torques and the first product; when the first size relationship indicates that the multiple first torques are all less than or equal to the first product, determining that each wind turbine has no failure risk; when the first size relationship indicates that any first torque is greater than the first product, determining that the wind turbine corresponding to the second torque has a failure risk, wherein the second torque is a torque among the multiple first torques that is greater than the first product.

[0010] In an exemplary embodiment, after determining that the wind turbine corresponding to the second torque has a failure risk, the method further includes: determining a second product of the torque mean and a second numerical value, and determining a second size relationship between the second torque and the second product, wherein the second numerical value is greater than the first numerical value; when the second size relationship indicates that the second torque is greater than the second product, determining that the failure risk level of the wind turbine corresponding to the second torque is a first-level failure risk; when the second size relationship indicates that the second torque is less than or equal to the second product, determining that the failure risk level of the wind turbine corresponding to the second torque is a second-level failure risk.

[0011] In an exemplary embodiment, the method also includes: when it is determined that the fault risk level of the fan corresponding to the second torque is a level one fault, triggering a level one warning, and reducing the power supply frequency of the fan corresponding to the second torque through the inverter in the fan corresponding to the torque to reduce the rotational speed of the fan corresponding to the second torque; when it is determined that the fault risk level of the fan corresponding to the second torque is a level two fault, triggering a level two warning, and updating the fan corresponding to the second torque from a working state to a stopped working state; performing a fault check on the fan corresponding to the second torque to repair the fault of the fan corresponding to the second torque.

[0012] According to another embodiment of the embodiment of the present application, a device for determining the torque of a wind turbine shaft is also provided, including: an acquisition module, used to acquire deformation signals sent by strain gauges at both ends of the wind turbine shaft in each wind turbine installed in a wind turbine group, wherein the deformation signal is used to indicate a first deformation amount of one end of the wind turbine shaft under the action of torque and a second deformation amount of the other end of the wind turbine shaft under the action of the torque; a calculation module, used to calculate the difference between the first deformation amount and the second deformation amount; a determination module, used to determine the target torque of the wind turbine shaft in each wind turbine based on the difference and a target formula.

[0013] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above method when running.

[0014] According to another aspect of the embodiments of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the method through the computer program.

[0015] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, wherein the computer program is executed by a processor to perform the method.

[0016] In the embodiment of the present application, the strain gauges at both ends of the fan shaft in each fan installed in the wind turbine group are used to obtain the first deformation amount indicating one end of the fan shaft under the action of torque and the second deformation amount indicating the other end of the fan shaft under the action of torque; the difference between the first deformation amount and the second deformation amount is calculated; the target torque of the fan shaft in each fan is determined according to the difference and the target formula. That is to say, strain gauges are installed at both ends of the fan shaft in each fan in the embodiment of the present application, and the strain gauges can send the first deformation amount and the second deformation amount indicating the fan shaft under the action of torque; by calculating the difference between the first deformation amount and the second deformation amount, the target torque of each fan shaft can be determined according to the difference and the target formula. Through the embodiment of the present application, the problem that the fan torque can only be verified by the motor current and the gearbox torque in the related art, but the fan torque cannot be directly measured, can be solved. Then, the fan torque can be directly calculated by the deformation signal sent by the strain gauge. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1It is a hardware structure block diagram of a computer terminal of a method for determining a fan shaft torque according to an embodiment of the present application;

[0019] Figure 2 is a flow chart of a method for determining a fan shaft torque according to an embodiment of the present application;

[0020] Figure 3 It is a schematic diagram of an online torque monitoring device for an axial fan in a direct air cooling system;

[0021] Figure 4 It is a structural block diagram of a device for determining a fan shaft torque according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices; "plurality" means two or more.

[0024] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or similar computing device or cloud platform or independent physical server or software platform, wherein the above software platform is run through one or more servers. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure block diagram of a computer terminal of a method for determining a fan shaft torque according to an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1Only one is shown in the figure) processor 102 and memory 104 for storing data. In an exemplary embodiment, the computer terminal may also include a transmission device 106 for communication functions and an input and output device 108, wherein the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA. A person skilled in the art can understand that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Equivalent functions or comparisons shown Figure 1 A different configuration with more features is shown.

[0025] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as computer programs corresponding to the methods in the embodiments of the present application. The processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, that is, the above-mentioned methods are implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0026] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0027] In this embodiment, a method for determining the fan shaft torque is provided, which is applied to the above-mentioned computer terminal. Figure 2 is a flow chart of a method for determining a wind turbine shaft torque according to an embodiment of the present application, the flow chart comprising the following steps S202 to S206:

[0028] Step S202, obtaining deformation signals sent by strain gauges installed at both ends of a fan shaft in each fan in the wind turbine generator set, wherein the deformation signals are used to indicate a first deformation amount of one end of the fan shaft under the action of torque and a second deformation amount of the other end of the fan shaft under the action of the torque;

[0029] In the embodiment of the present application, strain gauges are installed at both ends of the fan shaft. The strain gauge is a sensor that can convert the deformation of the fan shaft into an electrical signal. When the fan shaft is subjected to torque, the material of the fan shaft will undergo a slight deformation, which will cause the resistance value of the strain gauge to change. This change in resistance value is proportional to the strain amount (i.e., the degree of deformation) of the fan shaft. By measuring the change in resistance value, the strain amount of the fan shaft can be calculated, thereby indirectly calculating the torque applied to the fan shaft.

[0030] Step S204, calculating the difference between the first deformation amount and the second deformation amount;

[0031] Step S206: determining the target torque of the fan shaft in each fan according to the difference and the target formula.

[0032] In the embodiment of the present application, the strain gauges at both ends of the fan shaft in each fan installed in the wind turbine group are used to obtain the first deformation amount indicating one end of the fan shaft under the action of torque and the second deformation amount indicating the other end of the fan shaft under the action of torque; the difference between the first deformation amount and the second deformation amount is calculated; the target torque of the fan shaft in each fan is determined according to the difference and the target formula. That is to say, strain gauges are installed at both ends of the fan shaft in each fan in the embodiment of the present application, and the strain gauges can send the first deformation amount and the second deformation amount indicating the fan shaft under the action of torque; by calculating the difference between the first deformation amount and the second deformation amount, the target torque of each fan shaft can be determined according to the difference and the target formula. Through the embodiment of the present application, the problem that the fan torque can only be verified by the motor current and the gearbox torque in the related art, but the fan torque cannot be directly measured, can be solved. Then, the fan torque can be directly calculated by the deformation signal sent by the strain gauge.

[0033] Optionally, the step S202 of determining the target torque of the fan shaft in each fan according to the difference and the target formula includes: determining the target torque by the following formula: Wherein, T is the target torque, ε is the difference, E is the material elastic coefficient, Z p is the polar interface modulus, and ν is the Poisson's ratio.

[0034] It can be understood that the formula for the fan shaft torque can be:

[0035] Among them, the rotational moment (i.e. torque) causes a small deformation. The size of the deformation can be measured by strain gauges installed at both ends of the shaft. The strain gauges can detect the small deformation of the shaft and convert it into an electrical signal. By comparing the strain values ​​measured by two sets of strain gauges in the same time period, the strain difference at both ends of the shaft, i.e. ε, can be determined.

[0036] ε is the strain difference at both ends of the fan shaft, which reflects the deformation of the fan shaft under the action of torque when rotating.

[0037] E is the elastic coefficient of the material, which reflects the material's ability to resist deformation within the elastic limit and is a constant for a given material.

[0038] Z, or the polar interface modulus, is a physical quantity that reflects the fan shaft's ability to resist torsional deformation and is related to the shaft's geometric shape and size.

[0039] ν, or Poisson's ratio, describes how much a material contracts or expands laterally when stretched or compressed and is a constant for a given material.

[0040] For example, if a fan shaft is equipped with strain gauges at both ends, when the fan is running, the strain gauges measure the strain values ​​at both ends as strain value 1 and strain value 2, then ε = strain value 1-strain value 2. If the fan shaft is made of a certain steel, its elastic modulus E and Poisson's ratio v are known, and the shaft diameter d and polar interface modulus Z are known. p is also known, then the target formula can be used to calculate the torque T of the fan shaft under the current working conditions.

[0041] By continuously monitoring the changes in strain values, the torque T can be calculated in real time. Based on the comparison between the actual torque and the design or average torque, it can be determined whether the fan shaft is in an overload state, and then corresponding preventive measures can be taken, such as adjusting the operating frequency of the fan or performing maintenance inspections to prevent equipment damage or improve operating efficiency.

[0042] Optionally, the above-mentioned step S206 determines the target torque of the wind shaft in each wind turbine according to the difference and the target formula, including: dividing the wind direction into multiple wind direction areas, and dividing the wind speed corresponding to each wind turbine into multiple wind speed levels; when it is determined that each wind turbine in the wind turbine group is in the target wind direction area among the multiple wind direction areas, and the multiple wind speeds are the target wind speed levels among the multiple wind speed levels, determining the first torque corresponding to each wind turbine, and calculating the torque mean corresponding to the multiple first torques; performing risk monitoring on each wind turbine according to each first torque and the torque mean to determine whether each wind turbine has a failure risk.

[0043] It is understandable that the above wind direction is relative to the entire fan system, that is, for the entire fan system, the wind direction can be divided into 360 degrees, and the 360-degree wind direction is divided into multiple wind direction areas, and then the target wind direction area corresponding to each fan is determined. For a fan, the wind direction of the fan is fixed.

[0044] Among them, the wind direction areas corresponding to the fans in the embodiments of the present application can all be downward wind direction areas. The torque of the axial flow fan of the direct air cooling system (i.e., the fan of the present application) can be monitored and analyzed in combination with the wind direction and wind speed, and then the process of evaluating whether the fan is in a failure risk state can be performed. Specifically:

[0045] Assume that a direct air cooling system consists of multiple axial flow fans, each fan has its own torque monitoring device, which can measure the strain value change (i.e., difference) at both ends of the fan shaft in real time and calculate the actual torque value through the formula. Wind speed and direction monitoring equipment can be connected at the same time to obtain real-time wind speed and direction data.

[0046] The wind direction is divided into 8 areas of 360°, each area is 45°. The common wind speed is divided into 5 levels of 5m / s (meters per second), assuming that it is divided into 5 levels such as 5-10m / s, 10-15m / s, 15-20m / s, 20-25m / s, and 25-30m / s.

[0047] For example, suppose the current wind direction is between 225° and 270°, which belongs to the sixth wind direction area. And the current wind speed is 17m / s, which is in the wind speed level of 15-20m / s.

[0048] Record the first torque of all wind turbines in the sixth wind direction area and at a wind speed level of 15-20m / s. Calculate the average value of all first torques, i.e., the torque mean.

[0049] The magnitude relationship between the first torque of each fan and the torque mean is compared.

[0050] If the first torque of a fan is significantly higher than the torque average (for example, 1.2 or 1.5 times the average, where 1.2 can be the first value and 1.5 can be the second value), and this state lasts for a certain period of time (for example, 120 seconds), then it can be considered that the fan may be in an overloaded state and there is a risk of failure.

[0051] This monitoring and early warning mechanism allows operation and maintenance personnel to promptly detect abnormal operation of the fan and take measures to adjust operating parameters or conduct maintenance inspections to ensure the safe and efficient operation of the entire air cooling system.

[0052] Among them, risk monitoring is performed on each wind turbine according to each first torque and the torque mean to determine whether each wind turbine has a failure risk, including: calculating a first product of the torque mean and a first numerical value, and respectively determining a first size relationship between the multiple first torques and the first product; when the first size relationship indicates that the multiple first torques are all less than or equal to the first product, determining that each wind turbine has no failure risk; when the first size relationship indicates that any first torque is greater than the first product, determining that the wind turbine corresponding to the second torque has a failure risk, wherein the second torque is a torque among the multiple first torques that is greater than the first product.

[0053] Among them, after determining that the wind turbine corresponding to the second torque has a failure risk, the method also includes: determining a second product of the torque mean and a second numerical value, and determining a second size relationship between the second torque and the second product, wherein the second numerical value is greater than the first numerical value; when the second size relationship indicates that the second torque is greater than the second product, determining that the failure risk level of the wind turbine corresponding to the second torque is a first-level failure risk; when the second size relationship indicates that the second torque is less than or equal to the second product, determining that the failure risk level of the wind turbine corresponding to the second torque is a second-level failure risk.

[0054] It is understandable that the corresponding failure risk of the fan can be evaluated by monitoring and analyzing the fan torque. Specifically:

[0055] Assume that there is a direct air cooling system, which contains 10 fans (i.e. F1-F10), and the current wind direction is in the wind direction area of ​​135° to 180°, and the wind speed is within the wind speed level of 10-15m / s. The first torque of all fans under this environmental condition has been obtained through sensors, and the average value of these torque values ​​(torque mean) has been calculated.

[0056] A first product may be determined, which is usually a preset safety threshold, for judging whether the torque is abnormal. For example, the safety threshold may be the product of the torque mean and a value.

[0057] Compare the first torque of each fan with the first product. If the first torque of all fans is less than or equal to the first product, it can be preliminarily determined that these fans are not at risk of failure in the current environment. If the first torque of any fan exceeds the first product, then a fan (or multiple fans) may be at risk of failure.

[0058] If the first magnitude relationship indicates that the torques of all fans are less than or equal to the first product, then the system is operating normally and the fans are not overloaded or abnormal. On the contrary, if the first torque of any fan is greater than the first product, then this fan (i.e., the fan corresponding to the second torque) may be in an overloaded state and there is a risk of failure.

[0059] Assume that the average torque of all 10 wind turbines under the current wind direction and wind speed conditions is 100 Nm. The safety factor set in the manual is 1.2, and the first product is calculated to be 120 Nm (i.e. 100 Nm × 1.2).

[0060] When checking the first torque of each fan, it was found that the torques of F1-F9 were all below 115Nm, while the torque of F10 was 125Nm.

[0061] If the torques of F1-F9 are all less than or equal to the first product 120 Nm, it can be determined that there is no risk of failure of these fans.

[0062] If the torque of F10, 125 Nm, is greater than the first product, 120 Nm, this means that F10 is at risk of failure and requires further inspection and possible maintenance.

[0063] Through the above process, operation and maintenance personnel can quickly identify fans that may be in abnormal conditions and take timely measures, such as adjusting the operating frequency of the fan or shutting it down for inspection, to avoid equipment overload or potential damage and ensure the safe and efficient operation of the entire system. At the same time, this monitoring method can provide data support for preventive maintenance and reduce unplanned downtime and maintenance costs.

[0064] The method further includes: when it is determined that the fault risk level of the fan corresponding to the second torque is a level one fault, triggering a level one warning, and reducing the power supply frequency of the fan corresponding to the second torque through the frequency converter in the fan corresponding to the torque to reduce the rotational speed of the fan corresponding to the second torque; when it is determined that the fault risk level of the fan corresponding to the second torque is a level two fault, triggering a level two warning, and updating the fan corresponding to the second torque from a working state to a stopped working state; and performing a fault check on the fan corresponding to the second torque to repair the fault of the fan corresponding to the second torque.

[0065] It is understandable that after abnormal torque is detected, the fault risk level of the fan can be determined according to the degree of torque abnormality, and different levels of early warning and response measures can be taken accordingly to ensure the safe operation of the equipment. Specifically:

[0066] Assume that there is a wind turbine (denoted as F2), whose torque monitoring system shows that the current torque (second torque) is 150Nm. The average torque under the current environmental conditions (wind direction and wind speed) has been calculated to be 100Nm, and the thresholds for the first and second faults are set to 1.2 times (i.e. 120Nm) and 1.5 times (i.e. 150Nm) of the torque average, respectively.

[0067] Fault risk level assessment: When the second torque of F2 reaches 150Nm, it will first be compared with the preset threshold. Since 150Nm is equal to the preset 1.5 times torque mean, F2 will be judged to have a secondary fault risk. Once it is determined that F2 has a secondary fault risk, a secondary warning will be triggered immediately, which may be given to the operation and maintenance personnel through sound and light alarms and warning information on the control system interface. At the same time as the secondary warning is triggered, F2 will be updated from the working state to the stopped working state. This means that the power supply frequency will be reduced to the minimum through the inverter in the fan automatically or through the operation of the operation and maintenance personnel until the fan stops completely. After the fan stops working, the operation and maintenance personnel need to conduct a detailed fault inspection of F2 to determine the exact cause of the torque abnormality. This may include: checking whether the blades are damaged, whether the bearings are worn, whether the fan shaft is improperly aligned, etc. Based on the inspection results, take appropriate maintenance measures to repair the fault of the fan and restart the fan after confirming safety.

[0068] For example, when the system detects that the torque of F2 is 150Nm, which is significantly higher than the torque average of other fans, 100Nm, it determines whether it has a failure risk. Since 150Nm reaches the threshold of 1.5 times the torque average, F2 is determined to have a secondary failure risk. At this time, not only is the secondary warning triggered, but the power supply frequency is immediately reduced through the fan's inverter, causing the fan speed to gradually drop to a stop. After receiving the warning, the operation and maintenance personnel went to the site to check F2 and found that one of its blades was slightly deformed, resulting in additional resistance during rotation, thereby increasing the torque. The operation and maintenance personnel repaired the blade problem and restarted the fan to ensure the stable operation of the air cooling system.

[0069] Through this fault risk assessment and response mechanism, abnormal torque can be identified and responded to in a timely manner, effectively preventing equipment damage, reducing unplanned system downtime, and improving overall operating efficiency and safety. This maintenance strategy based on real-time monitoring and intelligent response is an important part of modern industrial equipment operation and maintenance, helping to extend the service life of equipment and reduce maintenance costs. In order to better understand the process of the above-mentioned method for determining the fan shaft torque, the above-mentioned method for determining the fan shaft torque is described below in combination with an optional embodiment, but is not used to limit the technical solution of the embodiment of the present application.

[0070] At present, the torque of air cooling system design mainly comes from the torque curve provided by the fan manufacturer. During the design process, the designer determines the torque according to the fan selection, and then designs the torque of the gearbox and motor. The fan torque can only be verified by the motor current and gearbox torque, and the fan power torque cannot be directly measured. The above method has certain limitations: in the design of the fan unit, the output of the fan shaft end cannot be effectively determined. During the optimization process of the fan unit, the optimal output angle of the fan cannot be calculated based on the actual torque, and the optimal characteristics of the fan cannot be brought into play. During the startup of the fan unit, the starting current of the fan and the anti-reverse torque of the fan cannot be effectively calculated. During the operation of the fan unit, the service life of the fan shaft cannot be predicted by monitoring the dynamic torque of the fan.

[0071] In response to the above problems, the optional embodiments of the present application aim to solve the problem of lack of online torque monitoring method for air-cooled fan units, and define a method and device for online torque monitoring of axial flow fans in direct air-cooling systems.

[0072] The torsion change at both ends of the fan shaft is collected, and the fan shaft torque is calculated by the difference in the torsion change at both ends of the fan shaft at the same time, so as to realize real-time torque monitoring of the fan. Record and analyze the torque distribution of the fan on the entire island. Combined with the wind speed and wind direction system, the self-learning environment wind speed and wind direction sudden change will warn the impact of the torque change of the fan on the entire island. The online monitoring equipment of the axial flow fan torque of the direct air cooling system in the optional embodiment of the present application mainly includes: a distortion sensor, a sensor power supply system, a signal sending device, a signal acquisition conversion device, analysis software, etc.

[0073] Compared with the related art, an online monitoring method and device for the torque of an axial flow fan in a direct air cooling system in an optional embodiment of the present application can achieve the following effects: real-time monitoring, monitoring the torque changes of the fan group during startup, operation, and shutdown and when environmental conditions change, and real-time display of the torque distribution of the entire island fan; synchronous analysis, recording and analyzing the torque distribution of the entire island fan to form a historical trend analysis record; accurate alarm, combined with the wind speed and wind direction system, self-learning the impact of sudden changes in environmental wind speed and wind direction on the torque changes of the entire island fan, and predicting the fatigue condition and service life of the fan shaft; optimization plan, input the fan design angle, speed and torque, and calculate the optimal operating speed and angle according to the self-learning plan.

[0074] Figure 3 This is a schematic diagram of an online torque monitoring device for an axial fan in a direct air cooling system. Figure 3 As shown, Figure 3 It includes: 1. Motor; 2. Gearbox; 3. Fan bridge; 4. Fan blades; 5. Power supply slip ring; 6. Strain gauge; 7. Wireless signal transmitter.

[0075] Specific:

[0076] An optional embodiment of the present application provides an online monitoring method and device for the torque of an axial fan in a direct air cooling system, which comprises a power supply slip ring (5), four groups of symmetrically arranged strain gauges (6), four groups of symmetrically arranged wireless signal transmitting devices (7), a signal acquisition and conversion device, and analysis software.

[0077] Wherein, the power supply slip ring (5) is installed on the output shaft (i.e., the fan shaft) of the gear box (2) to provide power to the wireless signal transmitting device (7);

[0078] The strain gauge (6) is installed at both ends of the output shaft of the gearbox (2) in a full-bridge manner and 180° symmetrically to ensure installation accuracy;

[0079] The signal collected by the wireless signal transmitting device (7) is transmitted to a host computer or a host receiving software.

[0080] Specific methods include:

[0081] The signal corresponding to the strain gauge (i.e., deformation signal) is transmitted to the signal acquisition and conversion device, and then transmitted to the host computer after signal conversion. The signal transmission method of the acquisition and conversion device is not limited, and can be wired transmission or wireless transmission (including: Bluetooth transmission, wireless LAN transmission, 5G signal transmission, etc.).

[0082] The data obtained can be used in the following formula to determine the actual torque (i.e. target torque):

[0083] (i.e. the target formula).

[0084] Where, T is the actual torque; ε is the strain (i.e., the difference); E is the material elastic coefficient; Z p is the polar interface modulus; ν is the Poisson's ratio.

[0085] Furthermore, the actual torque of all wind turbines in the wind turbine group is averaged and the mean value (i.e. torque mean) is taken. The wind direction is divided into 8 areas according to the full 360°, each area is 45° (i.e. multiple wind direction areas). The common wind speed is divided into 5-6 levels (i.e. multiple wind speed levels) according to the 5m / s level.

[0086] The set logic condition is: when the fan speed is greater than 20Hz and the deviation from the set speed is less than 5Hz, the measured torque value of the average running fan.

[0087] in:

[0088] 1) When the real-time torque (i.e. the first torque) > average torque (i.e. the torque mean) × 1.2 (1.2 is the first value, and average torque × 1.2 is the first product), and the delay of 120s still exists, a Level I warning is triggered. It is recommended to reduce the operating frequency.

[0089] 2) When the Level I warning exists, and the real-time torque is greater than the average torque × 1.5 (1.5 is the second value, and the average torque × 1.5 is the second product), and the delay of 120s still exists, the Level II warning is triggered. It is recommended to stop the machine for inspection.

[0090] In summary, by combining the two variable conditions of wind direction and wind speed, the average torque under different levels of wind speed in different wind direction areas is monitored, recorded and fed back into an annual report.

[0091] It can be understood that the angle, speed and torque of the input fan design, the design installation angle, design speed and torque under the design conditions are compared with the torque monitored in real time to calculate the optimal operating speed and fan installation angle.

[0092] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0093] The present application also provides a structural block diagram of a device for determining a fan shaft torque. Figure 4 is a structural block diagram of a device for determining a fan shaft torque according to an embodiment of the present application; Figure 4 As shown, including:

[0094] An acquisition module 42 is used to acquire deformation signals sent by strain gauges at both ends of a fan shaft in each fan installed in the wind turbine group, wherein the deformation signal is used to indicate a first deformation amount of one end of the fan shaft under the action of torque and a second deformation amount of the other end of the fan shaft under the action of the torque;

[0095] A calculation module 44, configured to calculate a difference between the first deformation amount and the second deformation amount;

[0096] The determination module 46 is configured to determine the target torque of the fan shaft in each fan according to the difference and the target formula.

[0097] Through the above device, the strain gauges at both ends of the fan shaft in each fan installed in the wind turbine group are used to obtain the first deformation amount for indicating one end of the fan shaft under the action of torque and the second deformation amount for indicating the other end of the fan shaft under the action of torque; the difference between the first deformation amount and the second deformation amount is calculated; the target torque of the fan shaft in each fan is determined according to the difference and the target formula. That is to say, strain gauges are installed at both ends of the fan shaft in each fan of the embodiment of the present application, and the strain gauges can send the first deformation amount and the second deformation amount for indicating the fan shaft under the action of torque; by calculating the difference between the first deformation amount and the second deformation amount, the target torque of each fan shaft can be determined according to the difference and the target formula. Through the embodiment of the present application, the problem that the fan torque can only be verified by the motor current and the gearbox torque in the related art, but the fan torque cannot be directly measured, can be solved. Then, the fan torque can be directly calculated by the deformation signal sent by the strain gauge.

[0098] In an exemplary embodiment, the determination module 46 is further configured to determine the target torque by using the following formula: Wherein, T is the target torque, ε is the difference, E is the material elastic coefficient, Z p is the polar interface modulus, and ν is the Poisson's ratio.

[0099] In an exemplary embodiment, the determination module 46 is also used to divide the wind direction into multiple wind direction areas, and divide the wind speed corresponding to each wind turbine into multiple wind speed levels; when it is determined that each wind turbine in the wind turbine group is in the target wind direction area among the multiple wind direction areas, and the multiple wind speeds are the target wind speed levels among the multiple wind speed levels, determine the first torque corresponding to each wind turbine, and calculate the torque mean corresponding to the multiple first torques; perform risk monitoring on each wind turbine based on each first torque and the torque mean to determine whether each wind turbine has a failure risk.

[0100] In an exemplary embodiment, the determination module 46 is also used to calculate the first product of the torque mean and the first numerical value, and respectively determine the first size relationship between the multiple first torques and the first product; when the first size relationship indicates that the multiple first torques are all less than or equal to the first product, it is determined that there is no failure risk for each wind turbine; when the first size relationship indicates that any first torque is greater than the first product, it is determined that the wind turbine corresponding to the second torque is at risk of failure, wherein the second torque is a torque among the multiple first torques that is greater than the first product.

[0101] In an exemplary embodiment, the determination module 46 is also used to determine a second product of the torque mean and a second numerical value, and to determine a second size relationship between the second torque and the second product, wherein the second numerical value is greater than the first numerical value; when the second size relationship indicates that the second torque is greater than the second product, the failure risk level of the wind turbine corresponding to the second torque is determined to be a first-level failure risk; when the second size relationship indicates that the second torque is less than or equal to the second product, the failure risk level of the wind turbine corresponding to the second torque is determined to be a second-level failure risk.

[0102] In an exemplary embodiment, the device also includes: a warning module, which is used to trigger a first-level warning when it is determined that the fault risk level of the fan corresponding to the second torque is a first-level fault, and reduce the power supply frequency of the fan corresponding to the second torque through the inverter in the fan corresponding to the torque to reduce the corresponding rotational speed of the fan corresponding to the second torque; when it is determined that the fault risk level of the fan corresponding to the second torque is a second-level fault, trigger a second-level warning, and update the fan corresponding to the second torque from a working state to a stopped working state; perform a fault check on the fan corresponding to the second torque to repair the fault of the fan corresponding to the second torque.

[0103] An embodiment of the present application further provides a storage medium, which includes a stored program, wherein the program executes any of the above methods when it is run.

[0104] Optionally, in this embodiment, the storage medium may be configured to store program codes for executing the following steps:

[0105] S1, obtaining deformation signals sent by strain gauges installed at both ends of a fan shaft in each fan in a wind turbine generator set, wherein the deformation signals are used to indicate a first deformation amount of one end of the fan shaft under the action of a torque and a second deformation amount of the other end of the fan shaft under the action of the torque;

[0106] S2, calculating the difference between the first deformation amount and the second deformation amount;

[0107] S3, determining a target torque of a fan shaft in each fan according to the difference and a target formula.

[0108] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0109] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0110] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0111] S1, obtaining deformation signals sent by strain gauges at both ends of a fan shaft in each fan installed in a wind turbine generator set, wherein the deformation signals are used to indicate a first deformation amount of one end of the fan shaft under the action of torque and a second deformation amount of the other end of the fan shaft under the action of the torque;

[0112] S2, calculating the difference between the first deformation amount and the second deformation amount;

[0113] S3, determining a target torque of a fan shaft in each fan according to the difference and a target formula.

[0114] An embodiment of the present application further provides a computer program product, including a computer program, which is used by a processor to execute the steps in any of the above method embodiments.

[0115] Optionally, in this embodiment, the computer program product may be executed by a processor to perform the following steps:

[0116] S1, obtaining deformation signals sent by strain gauges at both ends of a fan shaft in each fan installed in a wind turbine generator set, wherein the deformation signals are used to indicate a first deformation amount of one end of the fan shaft under the action of torque and a second deformation amount of the other end of the fan shaft under the action of the torque;

[0117] S2, calculating the difference between the first deformation amount and the second deformation amount;

[0118] S3, determining a target torque of a fan shaft in each fan according to the difference and a target formula.

[0119] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store program codes.

[0120] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0121] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0122] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for determining fan shaft torque, characterized in that: include: Acquire deformation signals sent by strain gauges at both ends of a fan shaft in each fan installed in the wind turbine group, wherein the deformation signals are used to indicate a first deformation amount of one end of the fan shaft under the action of torque and a second deformation amount of the other end of the fan shaft under the action of the torque; Calculating a difference between the first deformation amount and the second deformation amount; The target torque of the fan shaft in each fan is determined according to the difference and a target formula.

2. The method for determining the fan shaft torque according to claim 1, characterized in that: Determining the target torque of the fan shaft in each fan according to the difference and the target formula includes: The target torque is determined by the following formula: Wherein, T is the target torque, ε is the difference, E is the material elastic coefficient, Z p is the polar interface modulus, and ν is the Poisson's ratio.

3. The method for determining the fan shaft torque according to claim 1, characterized in that: Determining the target torque of the fan shaft in each fan according to the difference and the target formula includes: Dividing the wind direction into a plurality of wind direction areas, and dividing the wind speed corresponding to each wind turbine into a plurality of wind speed levels; When it is determined that each wind turbine in the wind turbine group is in a target wind direction area among the multiple wind direction areas, and multiple wind speeds are target wind speed levels among the multiple wind speed levels, determining a first torque corresponding to each wind turbine, and calculating a torque average corresponding to the multiple first torques; Risk monitoring is performed on each of the wind turbines according to each first torque and the torque mean value to determine whether each of the wind turbines has a failure risk.

4. The method for determining the fan shaft torque according to claim 3, characterized in that: Performing risk monitoring on each wind turbine according to each first torque and the torque mean to determine whether each wind turbine has a failure risk, including: Calculating a first product of the torque mean and a first value, and respectively determining a first magnitude relationship between the plurality of first torques and the first product; When the first magnitude relationship indicates that the plurality of first torques are all less than or equal to the first product, determining that there is no failure risk for each of the wind turbines; When the first magnitude relationship indicates that any one of the first torques is greater than the first product, it is determined that a wind turbine corresponding to a second torque has a failure risk, wherein the second torque is a torque among the multiple first torques that is greater than the first product.

5. The method for determining the fan shaft torque according to claim 4, characterized in that: After determining that the wind turbine corresponding to the second torque has a failure risk, the method further includes: determining a second product of the torque mean and a second value, and determining a second magnitude relationship between the second torque and the second product, wherein the second value is greater than the first value; and determining that a fault risk level of the wind turbine corresponding to the second torque is a first-level fault risk when the second magnitude relationship indicates that the second torque is greater than the second product; When the second magnitude relationship indicates that the second torque is less than or equal to the second product, it is determined that the fault risk level of the wind turbine corresponding to the second torque is a level 2 fault risk.

6. The method for determining the fan shaft torque according to claim 5, characterized in that: The method further comprises: When it is determined that the fault risk level of the fan corresponding to the second torque is a level one fault, a level one warning is triggered, and a power supply frequency of the fan corresponding to the second torque is reduced by a frequency converter in the fan corresponding to the torque, so as to reduce a rotation speed corresponding to the fan corresponding to the second torque; When it is determined that the fault risk level of the fan corresponding to the second torque is a level two fault, a level two warning is triggered, and the fan corresponding to the second torque is updated from a working state to a stopped working state; a fault check is performed on the fan corresponding to the second torque to repair the fault of the fan corresponding to the second torque.

7. A device for determining fan shaft torque, characterized in that: include: An acquisition module, used for acquiring deformation signals sent by strain gauges at both ends of a fan shaft in each fan installed in the wind turbine group, wherein the deformation signals are used for indicating a first deformation amount of one end of the fan shaft under the action of torque and a second deformation amount of the other end of the fan shaft under the action of the torque; A calculation module, used for calculating the difference between the first deformation amount and the second deformation amount; A determination module is used to determine the target torque of the fan shaft in each fan according to the difference and the target formula.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method described in any one of claims 1 to 6 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that The computer program is used by a processor to execute the steps of the method described in any one of claims 1 to 6.

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