Wind power equipment temperature control method and system suitable for wind power practical training platform

Abstract

The invention discloses a wind power equipment temperature control method and system suitable for a wind power practical training platform, and relates to the technical field of wind power practical training. The method comprises the following steps: arranging a temperature sensor; arranging a temperature adjusting device; acquiring the real-time temperature of the part; presetting a component temperature threshold value; formulating a temperature control strategy; comparing the real-time temperature of the component with a threshold value, and selecting a corresponding temperature control strategy according to a comparison result; the wind power practical training platform controls the temperature adjusting device to adjust the temperature. The technical problem that in the prior art, the temperature of a certain component cannot be independently controlled according to different practical training scenes and the temperature distribution condition of equipment components cannot be accurately reflected according to the requirements of a wind power practical training platform is solved. The technical effects that the temperature data of each part of the wind power equipment is obtained in real time through the distributed temperature sensor, the temperature of a certain part of the wind power equipment can be independently and accurately controlled, analysis and processing are carried out through an intelligent algorithm, and more accurate temperature control is achieved are achieved.

Description

Technical Field

[0001] The present application relates to the field of wind power training technology, and in particular to a wind power equipment temperature control method and system suitable for a wind power training platform. Background Art

[0002] As the global demand for clean energy continues to increase, wind power generation, as an important renewable energy technology, has been widely used and developed. In the process of wind power generation, the stable operation of wind power equipment is crucial to improving power generation efficiency and ensuring the life of the equipment. Among them, temperature control is a key issue in the operation of wind power equipment. In the existing technology, the wind power training platform usually uses a single temperature sensor to monitor the temperature of the equipment. There is a technical problem that it is impossible to control the temperature of a certain component according to different training scenarios according to the needs of the wind power training platform and accurately reflect the temperature distribution of equipment components. Summary of the invention

[0003] The purpose of this application is to provide a wind power equipment temperature control method and system suitable for a wind power training platform, in order to solve the technical problem that the existing technology cannot control the temperature of a certain component according to different training scenarios according to the needs of the wind power training platform and accurately reflect the temperature distribution of equipment components. It realizes the real-time acquisition of temperature data of various components of wind power equipment through distributed temperature sensors, and can accurately control the temperature of a certain component of wind power equipment separately, and analyze and process through intelligent algorithms to achieve a more accurate technical effect of temperature control.

[0004] In view of the above problems, the present application provides a wind power equipment temperature control method and system suitable for a wind power training platform.

[0005] In the first aspect, the present application provides a wind power equipment temperature control method suitable for a wind power training platform, the method is implemented by a wind power equipment temperature control system suitable for a wind power training platform, wherein the method comprises: arranging temperature sensors on wind power equipment components of the wind power training platform, the wind power equipment components comprising gear boxes, frequency converters, control cabinets, generators, and anemometers; arranging temperature control devices on the housings of the wind power equipment components, the temperature control devices comprising heating devices and heat dissipation devices, the heating devices being heaters, and the heat dissipation devices comprising cooling fans, motors, and pumps; establishing a digital connection between the wind power training platform and the temperature sensors, heating devices, and heat dissipation devices; obtaining the wind power equipment operation process through the temperature sensors The real-time temperature of the components in the wind power equipment is used to establish a temperature data set; the standard threshold value and abnormal threshold value of the component temperature during the operation of the wind power equipment are preset, and the abnormal threshold value includes a low temperature threshold value and a high temperature threshold value; the temperature abnormality is simulated by a temperature simulator of the wind power equipment component, and a temperature control strategy is formulated for different abnormal situations; it is determined whether the real-time temperature of the component in the temperature data set is consistent with the preset standard threshold value, and if so, the current operating state is maintained without additional control; if not, it is compared with the abnormal threshold value, and the corresponding temperature control strategy is selected according to the comparison result; the wind power training platform receives the corresponding temperature control strategy, and sends a control signal to the temperature control device for temperature adjustment, and the temperature sensor continuously monitors the temperature of the wind power equipment components.

[0006] In the second aspect, the present application also provides a wind power equipment temperature control system suitable for a wind power training platform, which is used to execute a wind power equipment temperature control method suitable for a wind power training platform as described in the first aspect, wherein the system includes: a temperature sensor deployment module, the temperature sensor deployment module is used to deploy temperature sensors on wind power equipment components of the wind power training platform, and the wind power equipment components include gear boxes, inverters, control cabinets, generators, and anemometers; a temperature control device deployment module, the temperature control device deployment module is used to deploy temperature control devices on the housings of wind power equipment components, and the temperature control devices include heating devices and heat dissipation devices. The heating device is a heater, and the heat dissipation device includes a cooling fan, a motor, and a pump; a digital connection module, the digital connection module is used to establish a digital connection between the wind power training platform and the temperature sensors, heating devices, and heat dissipation devices; a temperature data set establishment module, the temperature data set establishment module is used to obtain wind power equipment through temperature sensors The real-time temperature of the components during the operation of the wind power equipment is used to establish a temperature data set; a threshold preset module, the threshold preset module is used to preset the standard threshold and abnormal threshold of the component temperature during the operation of the wind power equipment, and the abnormal threshold includes a low temperature threshold and a high temperature threshold; a temperature control strategy formulation module, the temperature control strategy formulation module is used to simulate temperature abnormalities through a temperature simulator of the wind power equipment components, and formulate temperature control strategies for different abnormal situations; a temperature control strategy selection module, the temperature control strategy selection module is used to determine whether the real-time temperature of the component in the temperature data set is consistent with the preset standard threshold, if so, maintain the current operating state without additional control; if not, compare with the abnormal threshold, and select the corresponding temperature control strategy according to the comparison result; a temperature adjustment module, the temperature adjustment module is used for the wind power training platform to receive the corresponding temperature control strategy, and send a control signal to the temperature adjustment device for temperature adjustment, and the temperature sensor continuously monitors the temperature of the wind power equipment components.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] Temperature sensors are arranged on the wind power equipment components of the wind power training platform, and the wind power equipment components include gear boxes, frequency converters, control cabinets, generators, and anemometers; a temperature control device is arranged on the shell of the wind power equipment component, and the temperature control device includes a heating device and a heat dissipation device, the heating device is a heater, and the heat dissipation device includes a heat dissipation fan, a motor, and a pump; a digital connection is established between the wind power training platform and the temperature sensors, the heating device, and the heat dissipation device; the real-time temperature of the components during the operation of the wind power equipment is obtained through the temperature sensor, and a temperature data set is established; the standard threshold value and abnormal threshold value of the component temperature during the operation of the wind power equipment are preset, and the abnormal threshold value includes a low temperature threshold value and a high temperature threshold value; The temperature simulator of the component simulates abnormal temperature conditions and formulates temperature control strategies for different abnormal conditions; determines whether the real-time temperature of the component in the temperature data set is consistent with the preset standard threshold. If so, maintains the current operating state without additional control; if not, compares with the abnormal threshold, and selects the corresponding temperature control strategy based on the comparison result; the wind power training platform receives the corresponding temperature control strategy and sends a control signal to the temperature control device for temperature adjustment. The temperature sensor continuously monitors the temperature of the wind power equipment components, which effectively solves the technical problem that the prior art cannot control the temperature of a certain component according to different training scenarios according to the needs of the wind power training platform and accurately reflect the temperature distribution of the equipment components. It realizes the real-time acquisition of temperature data of each component of the wind power equipment through distributed temperature sensors, and can accurately control the temperature of a certain component of the wind power equipment separately. It is analyzed and processed through intelligent algorithms to achieve a more accurate technical effect of temperature control.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0011] Figure 1 A schematic flow chart of a wind power equipment temperature control method applicable to a wind power training platform for this application;

[0012] Figure 2 This application provides a structural schematic diagram of a wind power equipment temperature control system suitable for a wind power training platform.

[0013] Explanation of the reference numerals: temperature sensor layout module 11, temperature control device layout module 12, digital connection module 13, temperature data set establishment module 14, threshold value preset module 15, temperature control strategy formulation module 16, temperature control strategy selection module 17, temperature control module 18. DETAILED DESCRIPTION

[0014] This application provides a wind power equipment temperature control method and system suitable for a wind power training platform, which solves the technical problem in the prior art that it is impossible to individually control the temperature of a certain component according to different training scenarios and accurately reflect the temperature distribution of equipment components according to the needs of the wind power training platform. It realizes the real-time acquisition of temperature data of various components of wind power equipment through distributed temperature sensors, and can individually and accurately control the temperature of a certain component of wind power equipment, and analyze and process through intelligent algorithms to achieve a more accurate technical effect of temperature control.

[0015] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0016] Embodiment 1

[0017] Please refer to the attached Figure 1 The embodiment of the present application provides a wind power equipment temperature control method applicable to a wind power training platform, wherein the method specifically includes:

[0018] Temperature sensors are arranged on wind power equipment components of the wind power training platform, and the wind power equipment components include a gear box, a frequency converter, a control cabinet, a generator, and an anemometer.

[0019] Specifically, it is a very important link to install temperature sensors on the wind power equipment components of the wind power training platform, which aims to monitor the temperature status of equipment components in real time, prevent abnormal conditions such as overheating or overcooling, and ensure the stable operation of wind power equipment. Temperature sensors are installed on wind power equipment components, including gearboxes, inverters, control cabinets, generators, and anemometers. According to the characteristics of different components and the working environment, the appropriate sensor model is selected.

[0020] A temperature regulating device is arranged on the housing of the wind power equipment component. The temperature regulating device includes a heating device and a heat dissipation device. The heating device is a heater, and the heat dissipation device includes a heat dissipation fan, a motor, and a pump.

[0021] Specifically, a temperature control device is arranged, and the temperature control device includes a heating device and a heat dissipation device. The heating device is arranged inside the shell of the wind power equipment component to ensure that the heat can be effectively transferred to the equipment component. Among them, the heating device is a heater, and the heater performs heating and adjustment according to the real-time temperature of the equipment component. The heat dissipation device is used to reduce the temperature of the wind power equipment components in a high temperature environment to prevent equipment damage or performance degradation caused by excessive temperature. The heat dissipation device dissipates heat through the coordinated work of a cooling fan, a motor, and a pump. Among them, the cooling fan is arranged outside the shell of the equipment component to effectively discharge the heat in the shell. The cooling fan is driven by a motor. The motor serves as the driving source of the cooling fan, is arranged near the fan, and ensures that it can work stably and reliably.

[0022] Establish a digital connection between the wind power training platform and the temperature sensor, the heating device and the heat sink.

[0023] Specifically, a digital connection is established between the wind power training platform and the temperature sensor, heating device and heat dissipation device. The wind power training platform receives signals from the temperature sensor and controls the operation of the heating device and the heat dissipation device according to the preset temperature value and control strategy. The wind power training platform has remote monitoring and fault alarm functions to timely detect and handle equipment failures. The temperature sensor outputs temperature data through digital signals, and the wind power training platform receives the temperature data and processes and analyzes it. The heating device and the heat dissipation device are connected to the wind power training platform through actuators. The wind power training platform controls the switch and heating time of the heater and the switch and speed of the cooling fan through the actuator interface according to the temperature data and the preset control strategy. The heater performs heating operations according to the received control signals to increase the temperature of the equipment components; the heat dissipation device performs heat dissipation operations according to the received control signals to reduce the temperature of the equipment components.

[0024] The real-time temperature of the components during the operation of the wind power equipment is obtained through the temperature sensor, and a temperature data set is established.

[0025] Specifically, first, the temperature data of wind power equipment components is collected in real time, and the collected temperature data is preprocessed. Data preprocessing includes data cleaning and data smoothing operations. Data cleaning is used to remove noise and outliers to ensure the accuracy and reliability of real-time temperature data. Data smoothing is used to reduce temperature data fluctuations and improve data smoothness and readability. Secondly, the preprocessed temperature data is organized according to the type of wind power equipment components and time sequence to construct a temperature data set. The data set should include key information such as timestamp, component number, and temperature value.

[0026] Furthermore, the real-time temperature of the components during the operation of the wind power equipment is obtained through the temperature sensor, and a temperature data set is established, including:

[0027] Gearbox temperature, through which gear wear and lubrication conditions are monitored;

[0028] The inverter temperature is used to monitor the working status of the electronic components inside the inverter;

[0029] Control cabinet temperature, through which the working status of electrical components inside the control cabinet is monitored;

[0030] Generator temperature, through which the working efficiency and health of the generator can be judged;

[0031] The anemometer temperature is used to monitor the performance of electronic components inside the anemometer to ensure the accuracy of the anemometer measurement precision.

[0032] Specifically, the gearbox temperature data is collected in real time, and the gearbox temperature reflects the oil temperature in the gearbox, and the gear wear and lubrication are monitored. If the oil temperature is too high, it may indicate that the gear is seriously worn, the lubricant is insufficient, or the oil quality is deteriorated; when the oil temperature is too low, the fluidity of the lubricant deteriorates, the oil viscosity increases, and the resistance increases, resulting in poor lubrication between the gears, increasing the friction between the gears, thereby accelerating the wear of the gears and even causing damage to the gears. The inverter temperature data is collected in real time to monitor the working status of the electronic components inside the inverter. Excessive temperature may cause the electronic components to age, degrade in performance, or even be damaged; in a low temperature environment, the components of the inverter will become stiff, and the lubricant will become viscous, resulting in difficulty in starting. Long-term unsuccessful starting may also trigger overheating protection, further affecting the use of the equipment. The control cabinet temperature data is collected in real time to monitor the working status of the electrical components inside the control cabinet (such as relays, circuit breakers, capacitors, etc.). Excessive or low temperatures can cause electrical component failures and affect the reliability of the equipment. Real-time collection of generator temperature data. Monitoring the temperature of the generator is a key indicator for judging its working efficiency and health. Too high a temperature may indicate that the generator is overloaded or an internal component is faulty. Too low a temperature may indicate that the speed of the fan blades is too low, causing the load of the generator to be far below its rated load. Real-time collection of anemometer temperature data. Monitoring the performance of the electronic components inside the anemometer is affected by temperature. Too high or too low a temperature will change the current and voltage distribution in the circuit, which may lead to a decrease in measurement accuracy. In addition, some plastics, rubbers and other materials in the anemometer will become brittle at low temperatures. They are used to fix electronic components or as structural components. Brittleness may cause them to break or be damaged easily, affecting the stability of the internal structure of the anemometer.

[0033] A standard threshold and an abnormal threshold of component temperature during the operation of the wind power equipment are preset, and the abnormal threshold includes a low temperature threshold and a high temperature threshold.

[0034] Specifically, in the operation of wind power equipment, in order to ensure its stability and safety, the standard thresholds and abnormal thresholds of the temperature of different components are preset according to the temperature of normal operation of each component of the wind power equipment, based on the different characteristics and materials of each component of the wind power equipment. The abnormal thresholds include low temperature thresholds and high temperature thresholds, which are used to monitor and warn of abnormal temperature conditions of equipment components. The standard threshold refers to the temperature value that the wind power equipment components should meet under normal operating conditions. This value is determined based on the material characteristics, operating conditions and historical operating data of the equipment components. The abnormal threshold refers to the temperature value that may cause a fault or affect the performance of the equipment when the temperature of the equipment component is not the standard value. These thresholds are used to trigger the control temperature control device or shutdown protection mechanism. The low temperature threshold is set to prevent the equipment from operating in extremely cold conditions. When the temperature of the equipment component drops to a low temperature that may cause serious damage to the equipment, the low temperature shutdown protection is triggered. The high temperature threshold is set to ensure that the equipment will not continue to operate in the case of overheating. When the temperature of the equipment component reaches a high temperature that may cause serious damage to it, the high temperature shutdown protection is triggered.

[0035] Temperature abnormalities are simulated through the temperature simulator of wind power equipment components, and temperature control strategies are formulated for different abnormal situations.

[0036] Specifically, first, the temperature simulator of wind power equipment components is used to simulate temperature anomalies, including high temperature anomalies, low temperature anomalies and emergency situations. Through precise simulation and data analysis, the causes of temperature anomalies can be identified and effective control strategies can be formulated for different abnormal situations, thereby improving the operating efficiency and safety of wind power equipment, extending the life of the equipment, and reducing the possibility of failures. After handling the temperature anomaly, a comprehensive inspection of the wind power equipment is carried out to ensure that other parts of the equipment are not affected by the temperature anomaly. Then, the temperature anomaly handling process and results are recorded to provide a reference for subsequent troubleshooting and preventive maintenance. The wind power training platform is regularly calibrated and maintained to ensure its accuracy and reliability. Effective monitoring and abnormal handling of the real-time temperature of wind power equipment components are achieved to ensure that the equipment operates under safe and efficient conditions.

[0037] Furthermore, the temperature abnormality is simulated by the temperature simulator of the wind power equipment components, and the temperature control strategy is formulated for different abnormal conditions, including:

[0038] A high temperature abnormality control strategy, wherein the high temperature abnormality control strategy is to start the heat dissipation device when the temperature is high;

[0039] A low temperature abnormality control strategy, wherein the low temperature abnormality control strategy is to start a heating device at low temperatures;

[0040] Emergency protection strategy, the emergency protection strategy is to automatically trigger an alarm and perform emergency shutdown protection.

[0041] Specifically, the temperature abnormality is simulated by the temperature simulator of the wind power equipment components, and the temperature control strategy is formulated for different abnormal situations. The temperature control strategy includes high temperature abnormality control strategy, low temperature abnormality control strategy and emergency protection strategy. The high temperature abnormality control strategy refers to starting the heat dissipation device at high temperature, and the heat dissipation device works in coordination through the heat dissipation fan, pump and motor. The speed of the heat dissipation fan can be adjusted according to the temperature increase. When the temperature exceeds the standard threshold by 5 to 10°C, the fan runs at a low speed; when the temperature exceeds the standard threshold by 10 to 20°C, the fan speed is increased to medium speed; when the temperature exceeds the standard threshold by 20°C to the high temperature threshold, the fan runs at a high speed. The low temperature abnormality control strategy refers to starting the heating device at low temperature and heating and heating through the heater. The emergency protection strategy refers to the system automatically triggering an alarm and performing emergency shutdown protection operations, which includes cutting off the power supply of the wind power equipment, stopping the rotating parts and other operations. At the same time, the current status of the equipment (including temperature, running time and other information) is recorded to facilitate subsequent analysis of the cause of the fault and equipment maintenance. After the emergency shutdown, the equipment can only be restarted after the professional personnel have inspected and troubleshooted the equipment.

[0042] Determine whether the real-time temperature of the component in the temperature data set is consistent with the preset standard threshold. If so, maintain the current operating state without additional control; if not, compare with the abnormal threshold and select the corresponding temperature control strategy based on the comparison result.

[0043] Specifically, in the operation monitoring of wind power equipment, comparing the real-time temperature of the components in the temperature data set with the preset threshold value is an important basis for judging whether the operation status of the wind power equipment components is normal. According to the comparison results of the temperature data of the wind power equipment components obtained in real time from the temperature data set with the standard threshold value and the abnormal threshold value, the corresponding temperature control strategy is selected. First, the real-time temperature of the wind power equipment components is compared with the standard threshold value. If the real-time temperature is consistent with the standard threshold value, it indicates that the operation of the wind power equipment is in a safe environment, and the current operation status of each component is maintained without additional control, and continuous monitoring is performed. If the real-time temperature is inconsistent with the standard threshold value, it is further compared with the preset abnormal threshold value (including low temperature threshold value and high temperature threshold value). If the real-time temperature of the wind power equipment component is between the low temperature threshold value and the standard threshold value, check whether the wind power equipment component is in a low temperature environment, confirm whether the temperature sensor is accurate, and whether there are problems such as ice formation and lubricating oil solidification in the wind power equipment component. If it is confirmed that the abnormality is caused by the low temperature environment, the low temperature abnormality control strategy is triggered, and the heater is started to increase the temperature of the equipment component to the standard threshold value. After taking the temperature increase measures, the equipment temperature is continuously monitored to ensure that the temperature is stable at the standard threshold value. If the real-time temperature of the wind power equipment components is between the standard threshold and the high temperature threshold, check whether the heat dissipation device is operating normally, such as whether the heat dissipation fan is blocked or faulty. If the heat dissipation fan is blocked, clean the heat dissipation fan, optimize the ventilation conditions, and improve the heat dissipation efficiency; if the temperature is too low due to the failure of the heat dissipation device, trigger the high temperature abnormality control strategy and start the heater to cool down. After taking the heat dissipation optimization, continue to monitor the equipment temperature to ensure that the temperature gradually drops to the standard threshold. If the real-time temperature of the wind power equipment components is lower than the low temperature threshold or higher than the high temperature threshold, it will cause serious damage to the equipment, and emergency shutdown measures should be taken immediately for protection, which will trigger the emergency protection strategy.

[0044] Further, it is determined whether the real-time temperature of the component in the temperature data set is consistent with a preset standard threshold. If so, the current operating state is maintained without additional control; if not, it is compared with the abnormal threshold, and a corresponding temperature control strategy is selected according to the comparison result, including:

[0045] If the real-time temperature of the component is consistent with the standard threshold, the current operating state is maintained without additional control;

[0046] If the real-time temperature of the component is inconsistent with the standard threshold, it is further compared with the abnormal threshold;

[0047] If the real-time temperature of the component is between the low temperature threshold and the standard threshold, the low temperature abnormality control strategy is executed;

[0048] If the real-time temperature of the component is between the standard threshold and the high temperature threshold, the high temperature abnormality control strategy is executed;

[0049] If the real-time temperature of the component continues to exceed the abnormal threshold value, causing a failure in the operation of the wind power equipment, an emergency protection strategy is executed.

[0050] The wind power training platform receives the corresponding temperature control strategy and sends a control signal to the temperature regulating device for temperature regulation. The temperature sensor continuously monitors the temperature of the wind power equipment components.

[0051] Specifically, the wind power training platform receives real-time temperature data from the temperature sensor, processes and judges the data according to the preset temperature control strategy, and then sends the corresponding control signal to the temperature control device for temperature adjustment. When the wind power training platform receives the corresponding temperature control strategy based on the temperature comparison result, the wind power training platform accurately sends the control signal to the temperature control device. This process requires the wind power training platform to have good signal processing and transmission capabilities to ensure that the temperature control device can correctly understand and execute control instructions. The temperature sensor continuously monitors the temperature of wind power equipment components throughout the process, and provides real-time feedback on changes in component temperature, so that the wind power training platform can adjust the control strategy in a timely manner according to the new temperature data.

[0052] Specifically, if the corresponding temperature control strategy is a high temperature abnormality control strategy, the wind power training platform will send a specific digital signal to the heat dissipation device. For wind power equipment, the heat dissipation device is a heat dissipation fan. After receiving the control signal, the heat dissipation device starts to perform heat dissipation and cooling operations, and increases the speed of the heat dissipation fan, thereby enhancing the heat dissipation effect and reducing the temperature of wind power equipment components; if the corresponding temperature control strategy is a low temperature abnormality control strategy, the wind power training platform will send another specific digital signal to the heating device. For wind power equipment, the heating device is a heater. After receiving the control signal, the heating device starts the heater to perform heating and temperature raising operations, and increases the heating power of the heater, thereby enhancing the heating effect and increasing the temperature of wind power equipment components; if the corresponding temperature control strategy is an emergency protection strategy, the wind power training platform will send a specific digital signal different from the heating device and the heat dissipation device to the wind power equipment. After receiving the control signal, the wind power equipment will perform emergency shutdown processing on the various components of the wind power equipment to avoid greater problems when the wind power equipment continues to operate.

[0053] Furthermore, the wind power training platform receives the corresponding temperature control strategy and sends a control signal to the temperature control device for temperature adjustment, and the temperature sensor continuously monitors the temperature of the wind power equipment components, including:

[0054] When the wind power training platform receives the corresponding temperature control strategy, it sends a control signal to the temperature control device, and the temperature control device adjusts the temperature according to the calculated temperature control time, and the temperature sensor continuously monitors the temperature of the wind power equipment components;

[0055] The calculation formula for the temperature adjustment time is:

[0056] T = ΔT × C / P;

[0057] Where ΔT is the temperature difference between the standard threshold and the real-time temperature (unit: C), C is the heat capacity of the system (unit: joule / °C), and P is the power of the heat source (unit: joule / second).

[0058] Specifically, when the wind power training platform receives the corresponding temperature control strategy, it first analyzes the strategy. If the temperature control strategy is to adjust the temperature of a certain wind power equipment component from the current value to the standard threshold, the wind power training platform needs to calculate the temperature adjustment time based on the known system parameters (heat capacity and heat source power) and the current temperature difference. Then, the wind power training platform will send a control signal containing the temperature adjustment time information to the temperature control device. The transmission of this control signal needs to ensure accuracy and timeliness to ensure that the temperature control device can perform temperature adjustment operations as expected. After the heat dissipation device or heating device of the temperature control device receives the control signal from the wind power training platform, it will adjust the temperature according to the temperature adjustment time parameter in the signal. During the temperature adjustment process of the temperature control device, the temperature sensor continuously transmits the real-time temperature data of the component to the wind power training platform. When the temperature control device starts the temperature adjustment operation, the temperature sensor will monitor the speed and amplitude of the temperature change in real time. If it is found that the temperature changes too slowly or too quickly, causing the temperature to exceed the standard threshold, the temperature sensor will feed this information back to the wind power training platform, and the wind power training platform will adjust the temperature control strategy or the operating time of the temperature control device according to the new situation.

[0059] In summary, the embodiments of the present application have at least the following technical effects:

[0060] Temperature sensors are arranged on the wind power equipment components of the wind power training platform, and the wind power equipment components include gear boxes, frequency converters, control cabinets, generators, and anemometers; a temperature regulating device is arranged on the shell of the wind power equipment component, and the temperature regulating device includes a heating device and a heat dissipation device, the heating device is a heater, and the heat dissipation device includes a heat dissipation fan, a motor, and a pump; a digital connection is established between the wind power training platform and the temperature sensor, the heating device, and the heat dissipation device; the real-time temperature of the components during the operation of the wind power equipment is obtained through the temperature sensor, and a temperature data set is established; the standard threshold and abnormal threshold of the temperature of the components during the operation of the wind power equipment are preset, and the abnormal threshold includes a low temperature threshold and a high temperature threshold; the temperature abnormality is simulated by the temperature simulator of the wind power equipment component, and a temperature control strategy is formulated for different abnormal situations; it is judged whether the real-time temperature of the component in the temperature data set is consistent with the preset standard threshold, if so, the current operating state is maintained without additional control; if not, it is compared with the abnormal threshold, and the corresponding temperature control strategy is selected according to the comparison result; the wind power training platform receives the corresponding temperature control strategy, and sends a control signal to the temperature regulating device for temperature adjustment, and the temperature sensor continuously monitors the temperature of the wind power equipment components.

[0061] Embodiment 2

[0062] Please see attached Figure 2 The present application provides a wind power equipment temperature control system suitable for a wind power training platform. The system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0063] A temperature sensor placement module 11, which is used to place temperature sensors on wind power equipment components of the wind power training platform, wherein the wind power equipment components include a gear box, a frequency converter, a control cabinet, a generator, and an anemometer;

[0064] A temperature control device arrangement module 12, the temperature control device arrangement module 12 is used to arrange a temperature control device on a housing of a wind power equipment component, the temperature control device includes a heating device and a heat dissipation device, the heating device is a heater, and the heat dissipation device includes a heat dissipation fan, a motor, and a pump;

[0065] A digital connection module 13, which is used to establish a digital connection between the wind power training platform and the temperature sensor, the heating device and the heat dissipation device;

[0066] A temperature data set establishment module 14, wherein the temperature data set establishment module 14 is used to obtain the real-time temperature of the components during the operation of the wind power equipment through a temperature sensor and establish a temperature data set;

[0067] A threshold value preset module 15, wherein the threshold value preset module 15 is used to preset a standard threshold value and an abnormal threshold value of a component temperature during the operation of the wind power equipment, wherein the abnormal threshold value includes a low temperature threshold value and a high temperature threshold value;

[0068] A temperature control strategy formulation module 16, wherein the temperature control strategy formulation module 16 is used to simulate temperature abnormalities through a temperature simulator of wind power equipment components and formulate temperature control strategies for different abnormalities;

[0069] The temperature control strategy selection module 17 is used to determine whether the real-time temperature of the component in the temperature data set is consistent with a preset standard threshold. If so, the current operating state is maintained without additional control; if not, the temperature is compared with the abnormal threshold and a corresponding temperature control strategy is selected according to the comparison result;

[0070] The temperature control module 18 is used for the wind power training platform to receive the corresponding temperature control strategy and send a control signal to the temperature control device for temperature adjustment. The temperature sensor continuously monitors the temperature of wind power equipment components.

[0071] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. Other embodiments are within the scope of the attached claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0072] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0073] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A wind power equipment temperature control method suitable for a wind power training platform, characterized in that: The method comprises: Temperature sensors are arranged on wind power equipment components of the wind power training platform, wherein the wind power equipment components include a gear box, a frequency converter, a control cabinet, a generator, and an anemometer; A temperature regulating device is arranged on the housing of the wind power equipment component, wherein the temperature regulating device comprises a heating device and a heat dissipation device, wherein the heating device is a heater, and the heat dissipation device comprises a heat dissipation fan, a motor, and a pump; Establishing a digital connection between the wind power training platform and the temperature sensor, the heating device and the heat sink; The real-time temperature of the components during the operation of the wind power equipment is obtained through the temperature sensor, and a temperature data set is established; Preset a standard threshold and an abnormal threshold of component temperature during the operation of the wind power equipment, wherein the abnormal threshold includes a low temperature threshold and a high temperature threshold; Use the temperature simulator of wind power equipment components to simulate temperature abnormalities and formulate temperature control strategies for different abnormalities; Determine whether the real-time temperature of the component in the temperature data set is consistent with the preset standard threshold. If so, maintain the current operating state without additional control; if not, compare with the abnormal threshold and select the corresponding temperature control strategy according to the comparison result; The wind power training platform receives the corresponding temperature control strategy and sends a control signal to the temperature regulating device for temperature regulation. The temperature sensor continuously monitors the temperature of the wind power equipment components.

2. The method according to claim 1, characterized in that The real-time temperature of the components during the operation of the wind power equipment is obtained through the temperature sensor, and a temperature data set is established, including: Gearbox temperature, through which gear wear and lubrication conditions are monitored; The inverter temperature is used to monitor the working status of the electronic components inside the inverter; Control cabinet temperature, through which the working status of electrical components inside the control cabinet is monitored; Generator temperature, through which the working efficiency and health of the generator can be judged; The anemometer temperature is used to monitor the performance of electronic components inside the anemometer to ensure the accuracy of the anemometer measurement precision.

3. The method according to claim 1, characterized in that The temperature simulator of wind power equipment components is used to simulate temperature abnormalities and formulate temperature control strategies for different abnormalities, including: A high temperature abnormality control strategy, wherein the high temperature abnormality control strategy is to start the heat dissipation device when the temperature is high; A low temperature abnormality control strategy, wherein the low temperature abnormality control strategy is to start a heating device at low temperatures; Emergency protection strategy, the emergency protection strategy is to automatically trigger an alarm and perform emergency shutdown protection.

4. The method according to claim 1, characterized in that Determine whether the real-time temperature of the component in the temperature data set is consistent with a preset standard threshold value, and if so, maintain the current operating state without performing additional control; If not, it is compared with the abnormal threshold and the corresponding temperature control strategy is selected according to the comparison result, including: If the real-time temperature of the component is consistent with the standard threshold, the current operating state is maintained without additional control; If the real-time temperature of the component is inconsistent with the standard threshold, it is further compared with the abnormal threshold; If the real-time temperature of the component is between the low temperature threshold and the standard threshold, the low temperature abnormality control strategy is executed; If the real-time temperature of the component is between the standard threshold and the high temperature threshold, the high temperature abnormality control strategy is executed; If the real-time temperature of the component continues to exceed the abnormal threshold value, causing a failure in the operation of the wind power equipment, an emergency protection strategy is executed.

5. The method according to claim 1, characterized in that The wind power training platform receives the corresponding temperature control strategy and sends a control signal to the temperature control device for temperature adjustment. The temperature sensor continuously monitors the temperature of the wind power equipment components, including: When the wind power training platform receives the corresponding temperature control strategy, it sends a control signal to the temperature control device, and the temperature control device adjusts the temperature according to the calculated temperature control time, and the temperature sensor continuously monitors the temperature of the wind power equipment components; The calculation formula for the temperature adjustment time is: T = ΔT × C / P; Where ΔT is the temperature difference between the standard threshold and the real-time temperature (unit: C), C is the heat capacity of the system (unit: joule / °C), and P is the power of the heat source (unit: joule / second).

6. A wind power equipment temperature control system suitable for a wind power training platform, characterized in that: The system comprises: A temperature sensor placement module, which is used to place temperature sensors on wind power equipment components of the wind power training platform, wherein the wind power equipment components include a gear box, a frequency converter, a control cabinet, a generator, and an anemometer; A temperature control device placement module, the temperature control device placement module is used to place a temperature control device on a wind power equipment component housing, the temperature control device includes a heating device and a heat dissipation device, the heating device is a heater, and the heat dissipation device includes a heat dissipation fan, a motor, and a pump; A digital connection module, which is used to establish a digital connection between the wind power training platform and the temperature sensor, the heating device and the heat sink; A temperature data set establishment module, wherein the temperature data set establishment module is used to obtain the real-time temperature of the components during the operation of the wind power equipment through a temperature sensor and establish a temperature data set; A threshold value preset module, wherein the threshold value preset module is used to preset a standard threshold value and an abnormal threshold value of a component temperature during the operation of the wind power equipment, wherein the abnormal threshold value includes a low temperature threshold value and a high temperature threshold value; A temperature control strategy formulation module, wherein the temperature control strategy formulation module is used to simulate temperature abnormalities through a temperature simulator of wind power equipment components and formulate temperature control strategies for different abnormalities; A temperature control strategy selection module, which is used to determine whether the real-time temperature of the component in the temperature data set is consistent with a preset standard threshold. If so, the current operating state is maintained without additional control; if not, the temperature is compared with the abnormal threshold and a corresponding temperature control strategy is selected according to the comparison result; The temperature control module is used in the wind power training platform to receive the corresponding temperature control strategy and send a control signal to the temperature control device for temperature adjustment. The temperature sensor continuously monitors the temperature of wind power equipment components.

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