An on-line monitoring and early warning device and method for the rearward axial displacement of the main shaft of a wind turbine generator

Abstract

The present invention provides an on-line monitoring and early warning device and method for the rearward movement of the main shaft of a wind turbine generator, which relates to the technical field of wind power and includes: a plurality of fan monitoring nodes, a fan data aggregation node, a cloud monitoring and early warning server, and at least one early warning management node. The present invention is simple and easy to implement, has no impact on the original control system of the unit, can alarm the rearward movement of the main shaft in a timely and effective manner, and conduct reliable temperature monitoring, enabling timely intervention, effectively avoiding serious rearward movement of the main shaft, reducing the occurrence probability of events such as serious damage to bearings, damage to the main shaft, damage to the internal structure of the gearbox, and damage to the high-speed shaft coupling, reducing the maintenance cost, and achieving the purpose of improving quality and efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and in particular, to an on-line monitoring and early warning device and method for the rearward movement of the main shaft of a wind turbine generator set. Background Art

[0002] To prevent the blades from hitting the tower barrel, the drive system of the wind turbine generator set is designed with an elevation angle. Due to the existence of the elevation angle, the drive system is subjected to the component force of the impeller gravity along the main shaft backward and the thrust of the wind along the main shaft backward. At present, the wind turbine generator set with a two-point main shaft support structure mainly offsets the resultant force of the main shaft backward through the thrust bearing function of the spherical roller bearing. However, as the operation years of the unit increase, when the bearing rollers and cages of the main shaft are worn, the thrust effect will be weakened, resulting in the rearward movement of the main shaft assembly, and even the end faces of the bearing rollers extending out of the outer ring. This process is generally accompanied by abnormalities such as an increase in the temperature of the main shaft and large vibrations of the unit, and this process is an irreversible change. At present, the bearing service life is mainly extended by jacking the main shaft back and installing a top block.

[0003] Due to the wear of the bearing, the clearance between the cage and the rollers will increase over time, and an air gap will appear between the original bearing temperature measurement point and the cage and grease, resulting in inaccurate temperature measurement, so that the rearward movement of the main shaft cannot be reflected in time by the change of the bearing temperature. And it may only take a very short time from slight to severe rearward movement. Severe rearward movement of the unit will cause deformation of the bearing rollers, fracture of the cage, etc., and even accidents such as damage, jamming, and fracture of the high-speed shaft of the gears in the gearbox. To timely detect the rearward movement of the main shaft and take reliable measures for treatment to minimize losses, it is necessary to design an on-line monitoring and early warning system for the rearward movement of the main shaft of a wind turbine generator set. Summary of the Invention

[0004] Aiming at the above deficiencies in the prior art, the on-line monitoring and early warning device and method for the rearward movement of the main shaft of a wind turbine generator set provided by the present invention solve the problems of how to timely detect the rearward movement of the main shaft and how to avoid inaccurate temperature measurement of the main bearing caused by the rearward movement of the main shaft.

[0005] To achieve the above invention purpose, the technical solution adopted by the present invention is as follows:

[0006] In a first aspect, an on-line monitoring and early warning device for the rearward movement of the main shaft of a wind turbine generator set includes: a plurality of fan monitoring nodes, a fan data aggregation node, a cloud monitoring and early warning server, and at least one early warning management node;

[0007] The fan monitoring node is used to monitor the rearward movement condition of the main shaft of the wind turbine generator set and the temperature of the main bearing, obtain monitoring data, and wirelessly self-organize a network with adjacent fan monitoring nodes to construct a fan monitoring sensor network;

[0008] The fan data aggregation node is used to wirelessly connect to the fan monitoring sensor network, aggregate the monitoring data of each fan monitoring node, and send the monitoring data to the cloud monitoring and warning server through the Ethernet transmission medium;

[0009] The cloud monitoring and warning server is used to process the monitoring data and issue warnings for abnormal monitoring data according to the warning rules set by the warning management node;

[0010] The warning management node is used to set warning rules according to user interactions.

[0011] Further, the structures of the fan monitoring nodes are the same, and each includes: a controller, a wireless communication module, a proximity switch SW1, a temperature control switch SW2, a temperature control switch SW3, a temperature control switch SW4, a temperature control switch SW5, a temperature control switch SW6, a temperature control switch SW7, a temperature control switch SW8, a temperature control switch SW9, a temperature sensor P1, and a temperature sensor P2;

[0012] The wireless communication module is communicatively connected to the controller;

[0013] The output end of the proximity switch SW1 is connected to the input interface of the controller;

[0014] One end of the temperature control switch SW2 is connected to the first analog interface of the controller, and the other end is connected to one end of the temperature control switch SW3;

[0015] The other end of the temperature control switch SW3 is connected to one end of the temperature sensor P1;

[0016] The other end of the temperature sensor P1 is connected to one end of the temperature control switch SW5;

[0017] The other end of the temperature control switch SW5 is connected to one end of the temperature control switch SW4;

[0018] The other end of the temperature control switch SW4 is connected to the second analog interface of the controller;

[0019] One end of the temperature control switch SW6 is connected to the third analog interface of the controller, and the other end is connected to one end of the temperature control switch SW7;

[0020] The other end of the temperature control switch SW7 is connected to one end of the temperature sensor P2;

[0021] The other end of the temperature sensor P2 is connected to one end of the temperature control switch SW9;

[0022] The other end of the temperature control switch SW9 is connected to one end of the temperature control switch SW8;

[0023] The other end of the temperature control switch SW8 is connected to the fourth analog interface of the controller.

[0024] Second, a method for online monitoring and early warning of the rearward movement of the main shaft of a wind turbine generator set uses the above-mentioned online monitoring and early warning device for the rearward movement of the main shaft of a wind turbine generator set, and includes the following steps:

[0025] S1. Install each fan monitoring node on different wind turbine generator sets respectively;

[0026] S2. Wirelessly connect each fan monitoring node with its adjacent fan monitoring node, and cooperate with the fan data aggregation node to construct a fan monitoring sensor network through a clustering routing mechanism;

[0027] S3. Obtain the monitoring data of each wind turbine generator set from the fan monitoring sensor network through the fan data aggregation node, and send the monitoring data to the cloud monitoring and early warning server;

[0028] S4. Use the cloud monitoring and early warning server to give early warnings for abnormal monitoring data according to the early warning rules set by the early warning management node.

[0029] Further, the step S1 includes the following sub-steps:

[0030] S11. Fix the proximity switch on the rear bearing seat of the main shaft of the wind turbine generator set with a bracket, and make its sensing end face the metal locking disc of the gearbox;

[0031] S12. Install the temperature sensor P1 and the temperature sensor P2 on the temperature measurement points on both sides of the main bearing of the wind turbine generator set respectively;

[0032] S13. Mount the temperature control switches SW2, SW3, SW4, and SW5 in pairs at the 0° and 180° positions of the bearing end cover on the same side as the temperature sensor P1;

[0033] S14. Mount the temperature control switches SW6, SW7, SW8, and SW9 in pairs at the 0° and 180° positions of the bearing end cover on the same side as the temperature sensor P2.

[0034] Further, the step S2 includes the following sub-steps:

[0035] S21. Activate the wireless communication module of each fan monitoring node and the wireless communication function of the fan data aggregation node;

[0036] S22. Broadcast the first beacon signal to all fan monitoring nodes through the fan data aggregation node;

[0037] S23. Each fan monitoring node calculates its distance to the fan data aggregation node based on the strength of the first beacon signal, and obtains the node score of each fan monitoring node through the following formula:

[0038] Score = α·d + β·n

[0039] Where Score is the node score, α is the distance weight, d is the distance from the fan monitoring node to the fan data aggregation node, β is the adjacency weight, and n is the number of adjacent fan monitoring nodes of the fan monitoring node;

[0040] S24. Take the N fan monitoring nodes with the highest node scores as N cluster head nodes, where N is a positive integer;

[0041] S25. Broadcast the second beacon signal to all non-cluster head nodes through each cluster head node;

[0042] S26. All non-cluster head nodes calculate their distances to each cluster head node based on the strength of the second beacon signal, and each selects the nearest cluster head node to form N clusters;

[0043] S27. Use the mechanism that the cluster head nodes are sequentially connected to the nearest neighbor fan monitoring nodes to form a multi-hop route to connect the cluster head nodes, and the cluster head nodes are directly connected to the fan data aggregation node to form a fan monitoring sensor network.

[0044] Further, the method of step S3 is: The fan data aggregation node polls the monitoring data of the corresponding wind turbine set collected by each fan monitoring node, and sends the monitoring data to the cloud monitoring and warning server.

[0045] Further, step S4 includes the following sub-steps:

[0046] S41. Use the cloud monitoring and warning server to process the monitoring data and identify the abnormal monitoring data;

[0047] S42. According to the warning rules set by the warning management node, give a warning to the abnormal monitoring data.

[0048] Further, step S41 includes: detecting whether the signal sent from the proximity switch to the controller has been continuously lost for more than τ seconds, where τ is a real number. If so, identify it as abnormal proximity switch data; if not, do nothing; detecting whether the temperature data exceeds the threshold or is lost. If so, identify it as abnormal temperature data; if not, do nothing.

[0049] The beneficial effects of the present invention are:

[0050] The present invention is simple and easy to implement, has no impact on the original control system of the unit, can alarm the rearward movement of the main shaft in a timely and effective manner, and conduct reliable temperature monitoring, enabling timely intervention, effectively avoiding serious rearward movement of the main shaft, reducing the probability of events such as serious damage to bearings, damage to the main shaft, damage to the internal structure of the gearbox, and damage to the high-speed shaft coupling, reducing the maintenance cost, and achieving the purpose of improving quality and efficiency.

[0051] Each fan monitoring node of the present invention is clustered based on distance and adjacency, and a high-quality network multi-hop routing topology structure is established, which not only saves transmission power consumption but also improves communication efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a structural diagram of an on-line monitoring and early warning device for the rearward movement of the main shaft of a wind turbine generator set provided by an embodiment of the present invention;

[0053] Figure 2 It is a structural diagram of a fan monitoring node provided by an embodiment of the present invention;

[0054] Figure 3 It is a flowchart of a method for on-line monitoring and early warning of the rearward movement of the main shaft of a wind turbine generator set provided by an embodiment of the present invention;

[0055] Figure 4 It is a schematic diagram of the installation of a proximity switch provided by an embodiment of the present invention;

[0056] Figure 5 It is a general installation schematic diagram of a temperature sensor in the prior art;

[0057] Figure 6 It is a schematic diagram of the installation of a temperature control switch provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0058] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Generally, the components of the embodiments of the present invention described and illustrated herein can be arranged and designed in various different configurations.

[0059] Such as Figure 1As shown in the figure, in an embodiment of the present invention, an on-line monitoring and early warning device for the rearward movement of the main shaft of a wind turbine generator set includes: a plurality of fan monitoring nodes, a fan data aggregation node, a cloud monitoring and early warning server, and at least one early warning management node; the fan monitoring nodes are used to monitor the rearward movement condition of the main shaft of the wind turbine generator set and the temperature of the main bearing, obtain monitoring data, and wirelessly self-organize a network with adjacent fan monitoring nodes to construct a fan monitoring sensor network; the fan data aggregation node is used to wirelessly connect to the fan monitoring sensor network, aggregate the monitoring data of each fan monitoring node, and send the monitoring data to the cloud monitoring and early warning server through an Ethernet transmission medium; the cloud monitoring and early warning server is used to process the monitoring data and issue an early warning for abnormal monitoring data according to the early warning rules set by the early warning management node; the early warning management node is used to set the early warning rules according to the interaction of the user.

[0060] As Figure 2 shown, the structures of the fan monitoring nodes are the same, and each includes: a controller, a wireless communication module, a proximity switch SW1, a temperature control switch SW2, a temperature control switch SW3, a temperature control switch SW4, a temperature control switch SW5, a temperature control switch SW6, a temperature control switch SW7, a temperature control switch SW8, a temperature control switch SW9, a temperature sensor P1, and a temperature sensor P2; the wireless communication module is communicatively connected to the controller; the output end of the proximity switch SW1 is connected to the input interface of the controller; one end of the temperature control switch SW2 is connected to the first analog interface of the controller, and the other end is connected to one end of the temperature control switch SW3; the other end of the temperature control switch SW3 is connected to one end of the temperature sensor P1; the other end of the temperature sensor P1 is connected to one end of the temperature control switch SW5; the other end of the temperature control switch SW5 is connected to one end of the temperature control switch SW4; the other end of the temperature control switch SW4 is connected to the second analog interface of the controller; one end of the temperature control switch SW6 is connected to the third analog interface of the controller, and the other end is connected to one end of the temperature control switch SW7; the other end of the temperature control switch SW7 is connected to one end of the temperature sensor P2; the other end of the temperature sensor P2 is connected to one end of the temperature control switch SW9; the other end of the temperature control switch SW9 is connected to one end of the temperature control switch SW8; the other end of the temperature control switch SW8 is connected to the fourth analog interface of the controller.

[0061] In this embodiment, the proximity switch is selected as a proximity switch with an induction distance of 6 mm. The controller is a PLC controller. Both the temperature sensor P1 and the temperature sensor P2 are PT100 temperature sensors. All the temperature control switches are passive patch temperature control switches.

[0062] As Figure 3 shown, an on-line monitoring and early warning method for the rearward movement of the main shaft of a wind turbine generator set, using the above-mentioned on-line monitoring and early warning device for the rearward movement of the main shaft of a wind turbine generator set, includes the following steps:

[0063] S1. Install each fan monitoring node on different wind turbines respectively.

[0064] Step S1 includes the following sub-steps:

[0065] S11. Fix the proximity switch on the rear bearing seat of the main shaft of the wind turbine with a bracket, and orient its sensing end towards the metal locking disc of the gearbox.

[0066] As Figure 4 shown, in this embodiment, adjust the gap between the sensing end of the proximity switch and the locking disc of the gearbox to 2 mm. Since the sensing distance of the proximity switch is 6 mm, when the main shaft does not move backward, the assembly distance is within the sensing distance, and the proximity switch will continuously send a level signal to the controller, indicating that the unit is operating normally. When the main shaft moves backward, the metal locking disc of the gearbox moves backward together with the main shaft, resulting in a gradual increase in the distance between the sensing end of the proximity switch and the locking disc. When the backward movement reaches 4 mm, the distance is greater than the sensing distance of the proximity switch, and the signal sent by the proximity switch to the controller is lost. To prevent signal spikes caused by the vibration of the unit, a delay debounce process is required during abnormal recognition.

[0067] S12. Install temperature sensor P1 and temperature sensor P2 on the temperature measurement points on both sides of the main bearing of the wind turbine respectively. As Figure 5 shown.

[0068] S13. Mount temperature control switches SW2, SW3, SW4, and SW5 in pairs at 0° and 180° of the bearing end cover on the same side as temperature sensor P1. As Figure 6 shown.

[0069] S14. Mount temperature control switches SW6, SW7, SW8, and SW9 in pairs at 0° and 180° of the bearing end cover on the same side as temperature sensor P2.

[0070] Due to bearing wear, the clearance between the cage and the rollers will increase over time, and an air gap will appear between the original bearing temperature measurement point and the cage and grease. When the main shaft moves backward, the original temperature measurement point cannot detect the abnormal increase in temperature in a timely manner, and the backward movement is generally accompanied by friction between the main shaft rollers, cage, and bearing end cover. Therefore, in this embodiment, surface-mounted temperature control switches are installed on the main shaft end cover to detect the temperature abnormality caused by the backward movement of the main shaft.

[0071] This embodiment does not change the existing general main bearing temperature measurement and judgment logic. Four passive patch thermostats are connected in series in each bearing temperature measurement loop (considering the uneven heat, two patch thermostats are installed at the 0° and 180° positions of the bearing end covers on both sides. If any contact is disconnected, the loop is disconnected). The temperature setting value is the same as the main bearing alarm temperature (generally 60°C, which can be adjusted according to different models). When the measured temperature is lower than the setting value, the normally closed contact closes, and the original main bearing temperature detection logic is normally executed. When the measured temperature rises above the setting value, the normally closed contact of the thermostat disconnects, the original main bearing temperature measurement loop is disconnected, and the main control PLC reports corresponding faults such as high temperature or sensor failure.

[0072] S2. Wirelessly connect each fan monitoring node to its adjacent fan monitoring nodes, and cooperate with the fan data aggregation node to construct a fan monitoring sensor network through a clustering routing mechanism.

[0073] Step S2 includes the following sub-steps:

[0074] S21. Activate the wireless communication module of each fan monitoring node and the wireless communication function of the fan data aggregation node.

[0075] S22. Broadcast the first beacon signal to all fan monitoring nodes through the fan data aggregation node.

[0076] S23. Each fan monitoring node calculates its distance to the fan data aggregation node according to the intensity of the first beacon signal, and obtains the node score of each fan monitoring node through the following formula:

[0077] Score = α·d + β·n

[0078] Among them, Score is the node score, α is the distance weight, d is the distance from this fan monitoring node to the fan data aggregation node, β is the adjacency weight, and n is the number of adjacent fan monitoring nodes of this fan monitoring node.

[0079] S24. Select the N fan monitoring nodes with the highest node scores as the N cluster head nodes, where N is a positive integer.

[0080] S25. Broadcast the second beacon signal to all non-cluster head nodes through each cluster head node.

[0081] S26. All non-cluster head nodes calculate their distances to each cluster head node according to the intensity of the second beacon signal, and each selects the nearest cluster head node to form N clusters.

[0082] S27. Connect the cluster head nodes to the nearest neighbor fan monitoring nodes in turn to form a multi-hop routing to connect the cluster head nodes, and the cluster head nodes are directly connected to the fan data aggregation node mechanism to form a fan monitoring sensor network.

[0083] Each fan monitoring node in the embodiments of the present invention clusters based on distance and adjacency conditions to establish a high-quality multi-hop routing topology for the network, which not only saves transmission power consumption but also improves communication efficiency.

[0084] S3. Obtain the monitoring data of each wind turbine generator set from the fan monitoring sensor network through the fan data aggregation node, and send the monitoring data to the cloud monitoring and early warning server.

[0085] The method of step S3 is: the fan data aggregation node polls the monitoring data of the corresponding wind turbine generator set collected by each fan monitoring node, and sends the monitoring data to the cloud monitoring and early warning server.

[0086] S4. Use the cloud monitoring and early warning server to give early warnings for abnormal monitoring data according to the early warning rules set by the early warning management node.

[0087] Step S4 includes the following sub-steps:

[0088] S41. Use the cloud monitoring and early warning server to process the monitoring data and identify the abnormal monitoring data.

[0089] Step S41 includes: detecting whether the signal sent from the proximity switch to the controller is continuously lost for more than τ seconds, where τ is a real number. If so, it is identified that the proximity switch data is abnormal; if not, no action is taken. Detect whether the temperature data exceeds the threshold or is lost. If so, it is identified that the temperature data is abnormal; if not, no action is taken.

[0090] In this embodiment, τ is 10 seconds, and the threshold of the temperature is set to 60 °C.

[0091] S42. Give early warnings for the abnormal monitoring data according to the early warning rules set by the early warning management node.

[0092] In this embodiment, when the proximity switch data is abnormal, a fault shutdown early warning is given for the wind turbine generator set. When a temperature abnormality early warning occurs, the operator should record the main bearing temperature in the first time. If the main bearing temperature is +∞ (i.e., the temperature data is lost), but returns to the normal temperature after a period of time, consider that the patch temperature control switch of the main bearing end cover acts, and the main bearing should be opened for inspection.

[0093] In summary, the present invention is simple and easy to implement, has no influence on the original control system of the unit, can give an alarm for the rearward movement of the main shaft in time and effectively, and can perform reliable temperature monitoring, so that timely intervention can be carried out, effectively avoiding serious rearward movement of the main shaft, reducing the occurrence probability of events such as serious damage to the bearing, damage to the main shaft, damage to the internal structure of the gearbox, and damage to the high-speed shaft coupling, reducing the maintenance cost, and achieving the purpose of improving quality and efficiency.

[0094] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An online monitoring and early warning method for the rearward axial displacement of the main shaft of a wind turbine, characterized in that, Online monitoring and early warning device for the rearward displacement of the main shaft of a wind turbine generator. The online monitoring and early warning device for the rearward displacement of the main shaft of a wind turbine generator includes a number of fan monitoring nodes, a fan data aggregation node, a cloud monitoring and early warning server, and at least one early warning management node. The fan monitoring nodes are used to monitor the rearward displacement condition of the main shaft of the wind turbine generator and the temperature of the main bearing, obtain monitoring data, and wirelessly self-organize a network with adjacent fan monitoring nodes to construct a fan monitoring sensor network. The fan data aggregation node is used to wirelessly connect to the fan monitoring sensor network, aggregate the monitoring data of each fan monitoring node, and send the monitoring data to the cloud monitoring and early warning server through an Ethernet transmission medium. The cloud monitoring and early warning server is used to process the monitoring data and issue early warnings for abnormal monitoring data according to the early warning rules set by the early warning management node. The early warning management node is used to set early warning rules according to user interaction. The online monitoring and early warning method for the rearward displacement of the main shaft of a wind turbine generator includes the following steps: S1. Install each fan monitoring node on different wind turbine generators respectively. S2. Wirelessly connect each fan monitoring node to its adjacent fan monitoring node and, in cooperation with the fan data aggregation node, construct a fan monitoring sensor network through a clustering routing mechanism. Specifically, it includes: S21. Activate the wireless communication module of each fan monitoring node and the wireless communication function of the fan data aggregation node. S22. Broadcast a first beacon signal to all fan monitoring nodes through the fan data aggregation node. S23. Each fan monitoring node calculates its distance to the fan data aggregation node according to the intensity of the first beacon signal, and obtains the node score of each fan monitoring node through the following formula: Among them, is the node score, is the distance weight, is the distance from the wind turbine monitoring node to the wind turbine data aggregation node, is the adjacency weight, is the number of adjacent wind turbine monitoring nodes of this wind turbine monitoring node; S24. Select the wind turbine monitoring nodes with the highest node scores as cluster head nodes, where is a positive integer; S25. Broadcast a second beacon signal to all non-cluster head nodes through each cluster head node. S26. All non-cluster head nodes calculate their distances to each cluster head node according to the strength of the second beacon signal, and each selects the nearest cluster head node to form a cluster; S27. Use the mechanism that the cluster head nodes sequentially connect to the nearest neighbor fan monitoring nodes to form a multi-hop routing to connect the cluster head nodes, and the cluster head nodes are directly connected to the fan data aggregation node to form a fan monitoring sensor network. S3. Obtain the monitoring data of each wind turbine generator from the fan monitoring sensor network through the fan data aggregation node, and send the monitoring data to the cloud monitoring and early warning server. S4. Use the cloud monitoring and early warning server to issue early warnings for abnormal monitoring data according to the early warning rules set by the early warning management node.

2. The online monitoring and early warning method for the rearward axial displacement of the main shaft of a wind turbine generator set according to claim 1, wherein, The step S1 includes the following sub-steps: S11. Fix the proximity switch on the rear bearing seat of the main shaft of the wind turbine generator with a bracket, and orient its sensing end towards the metal locking disc of the gearbox. S12. Install temperature sensor P1 and temperature sensor P2 on the temperature measurement points on both sides of the main bearing of the wind turbine generator respectively. S13. Mount temperature control switches SW2, SW3, SW4, and SW5 in pairs at 0° and 180° of the bearing end cover on the same side as temperature sensor P1. S14. Mount temperature control switches SW6, SW7, SW8, and SW9 in pairs at 0° and 180° of the bearing end cover on the same side as temperature sensor P2.

3. The on-line monitoring and early warning method for the rearward axial displacement of the main shaft of a wind turbine generator set according to claim 1, wherein, The method of step S3 is as follows: The fan data aggregation node polls the monitoring data of each corresponding wind turbine collected by the fan monitoring node, and sends the monitoring data to the cloud monitoring and early warning server.

4. The online monitoring and early warning method for the rearward axial displacement of the main shaft of a wind turbine generator set according to claim 3, characterized in that, Step S4 includes the following sub-steps: S41. Use the cloud monitoring and early warning server to process the monitoring data and identify the abnormal monitoring data; S42. According to the early warning rules set by the early warning management node, give early warnings to the abnormal monitoring data.

5. The online monitoring and early warning method for the rearward axial displacement of the main shaft of a wind turbine generator set according to claim 4, characterized in that The step S41 includes: detecting whether the signal sent from the proximity switch to the controller is continuously lost for more than seconds. If so, it is identified as abnormal proximity switch data; if not, no action is taken. Detect whether the temperature data exceeds the threshold or is lost. If so, it is identified as abnormal temperature data; if not, no action is taken.

6. The online monitoring and early warning method for the rearward axial displacement of the main shaft of a wind turbine generator set according to claim 1, wherein The structures of the fan monitoring nodes are the same, and each includes: a controller, a wireless communication module, a proximity switch SW1, a temperature control switch SW2, a temperature control switch SW3, a temperature control switch SW4, a temperature control switch SW5, a temperature control switch SW6, a temperature control switch SW7, a temperature control switch SW8, a temperature control switch SW9, a temperature sensor P1, and a temperature sensor P2; The wireless communication module is communicatively connected to the controller; The output end of the proximity switch SW1 is connected to the input interface of the controller; One end of the temperature control switch SW2 is connected to the first analog interface of the controller, and the other end is connected to one end of the temperature control switch SW3; The other end of the temperature control switch SW3 is connected to one end of the temperature sensor P1; The other end of the temperature sensor P1 is connected to one end of the temperature control switch SW5; The other end of the temperature control switch SW5 is connected to one end of the temperature control switch SW4; The other end of the temperature control switch SW4 is connected to the second analog interface of the controller; One end of the temperature control switch SW6 is connected to the third analog interface of the controller, and the other end is connected to one end of the temperature control switch SW7; The other end of the temperature control switch SW7 is connected to one end of the temperature sensor P2; The other end of the temperature sensor P2 is connected to one end of the temperature control switch SW9; The other end of the temperature control switch SW9 is connected to one end of the temperature control switch SW8; The other end of the temperature control switch SW8 is connected to the fourth analog interface of the controller.

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