Dry-type transformer cooling fan and control system thereof

Abstract

The application provides a dry-type transformer cooling fan and a control system thereof, and relates to the field of cooling fans. The dry-type transformer cooling fan comprises an angle adjusting mechanism and a cooling fan body. The cooling fan body is installed at the working end of the angle adjusting mechanism. Preferably, the angle adjusting mechanism comprises a fan base, an adjustable support, a locking mechanism and a mounting support. The adjustable support is hinged to the fan base. The mounting support is fixedly connected to the adjustable support. The mounting support is fixedly connected to the cooling fan body. The locking mechanism is arranged at the hinge between the adjustable support and the fan base. The locking mechanism is used to keep the adjustable support at the adjusted angle after the angle adjustment of the adjustable support is completed. In the application, when the size of the transformer coil changes, the adjustable support is adjusted, and the air outlet angle of the cooling fan body is accurately adjusted. The heat generated by the transformer is better blown away, and the temperature of the transformer is reduced.

Description

Technical Field

[0001] This invention relates to the field of cooling fans, and more particularly to a dry-type transformer cooling fan and its control system. Background Technology

[0002] In power systems, dry-type transformers are widely used in high-rise buildings, subways, nuclear power plants, and other locations with stringent fire and explosion protection requirements due to their oil-free operation, high safety, and convenient maintenance. During operation, the losses in the core and windings continuously generate heat. If this heat cannot be dissipated in time, the transformer temperature will rise, which can lead to reduced insulation performance and shortened service life, or even serious accidents such as insulation breakdown and equipment burnout. Therefore, an efficient cooling system is one of the core components for ensuring the safe and stable operation of dry-type transformers.

[0003] Currently, the mainstream cooling method for dry-type transformers is forced air cooling, which uses cooling fans to generate airflow and accelerate heat exchange between the windings and the surrounding air. However, existing cooling fans have the following problems:

[0004] Because the dimensions of a transformer vary with its capacity, when installing a cooling fan, it's crucial to ensure the fan's maximum outlet is aligned precisely with the transformer's coil section for optimal cooling. However, existing cooling fans are typically installed at a fixed angle, making it impossible to adjust the installation angle for different transformers. Summary of the Invention

[0005] This invention provides a dry-type transformer cooling fan and its control system to solve the technical problems mentioned in the background.

[0006] To solve the above-mentioned technical problems, the present invention discloses a dry-type transformer cooling fan, comprising:

[0007] An angle adjustment mechanism and a cooling fan body are provided, with the cooling fan body installed at the working end of the angle adjustment mechanism.

[0008] Preferably, the angle adjustment mechanism includes:

[0009] The fan base and the adjustable bracket are hinged to the fan base. The mounting bracket is fixedly connected to the adjustable bracket and fixedly connected to the cooling fan body.

[0010] Preferably, a locking mechanism is provided at the hinge joint between the adjustable bracket and the fan base. The locking mechanism is used to keep the adjustable bracket at the adjusted angle after the angle of the adjustable bracket has been adjusted.

[0011] Preferably, the locking mechanism is a tooth-knob locking mechanism. After the angle is adjusted, the knob engages with the teeth to achieve mechanical fixation. The knob is connected to an adjustable bracket.

[0012] Preferably, the adjustable bracket and the fan base are hinged together by stainless steel door hinges;

[0013] The air outlet angle of the cooling fan body is adjustable to ~°.

[0014] Preferably, after angle adjustment, the maximum air outlet of the cooling fan body is aligned precisely with the coil section of the transformer.

[0015] The present invention also discloses a control system for a dry-type transformer cooling fan, the control system comprising:

[0016] First data acquisition module: used to acquire transformer operating parameters;

[0017] The second data acquisition module is used to acquire the operating parameters of the cooling fan body.

[0018] The third data acquisition module is used to collect environmental parameters of the environment in which the cooling fan body is located.

[0019] The control device is electrically connected to the first acquisition module, the second acquisition module, the third acquisition module, and the cooling fan body.

[0020] Preferably, the first acquisition module includes:

[0021] Temperature acquisition unit: Temperature sensors are arranged at preset intervals along the axial and radial directions of the transformer winding to acquire the winding temperature at their location and output the winding temperature distribution matrix;

[0022] Iron core magnetic flux acquisition unit: It acquires the change of iron core magnetic flux through Rogowski coil sensor, and calculates iron core loss and temperature trend based on the change of magnetic flux.

[0023] The second acquisition module includes:

[0024] Fan vibration acquisition unit: Employs a triaxial accelerometer, installed at key vibration monitoring points on the cooling fan body, to acquire vibration frequency, amplitude, and direction data; calculates the vibration frequency spectrum through fast Fourier transform;

[0025] Fan speed acquisition unit: used to monitor the fan speed of the cooling fan body;

[0026] The third acquisition module includes:

[0027] Ambient temperature and humidity acquisition unit: used to monitor ambient temperature and humidity;

[0028] Ambient wind speed and direction acquisition unit: used to acquire ambient wind speed and direction at the cooling fan body.

[0029] Preferably, the control device includes an intelligent control module, which includes: a core hysteresis loss coefficient determination unit: using a Rogowski coil and a magnetic flux analysis system, acquiring the complete waveform of the core magnetic flux, and combining it with a hysteresis characteristic database to dynamically calculate the core hysteresis loss coefficient;

[0030] Current density determination unit: The unit acquires transient data of winding current through a high-frequency Hall current sensor, and obtains the winding current density and winding current density non-uniformity through a current distribution analysis algorithm.

[0031] Transformer thermal model building unit: Integrating winding temperature distribution matrix, core loss, winding current density, winding current density non-uniformity, winding temperature gradient, and core hysteresis loss coefficient to build an overall thermal load model of the transformer.

[0032] Dynamic heat load zone division unit: Based on the transformer thermal model, the overall heat load model output by the unit is constructed. Combined with the insulation level differences of different areas of the winding, the winding is divided into special protection zone, first protection zone and second protection zone, and the heat load threshold of each area is marked simultaneously.

[0033] Single fan coverage efficiency analysis subunit: Combining the spatial relationship between the fan outlet and each protected zone, calculate the actual cooling air volume ratio of different protected zones, and provide a spatial compensation basis for temperature weight adjustment;

[0034] Temperature gradient trend prediction subunit: By analyzing historical winding temperature gradient data and combining it with the transformer load change trend, a time-series prediction algorithm is used to predict the temperature gradient change trend of each protection zone in the next 30 minutes. When it is predicted that the temperature gradient of the special protection zone will exceed the safety threshold, the fan pre-speed adjustment mechanism is triggered in advance.

[0035] Fan energy efficiency optimization unit: Combining the heat load output by the thermal model, the ambient temperature and humidity and the single fan coverage efficiency analysis results, dynamic temperature weights are set for different protection zones, with the goal of optimal energy efficiency, and the target fan speed is output to the cooling fan body.

[0036] Preferably, the wind turbine energy efficiency optimization unit includes:

[0037] First determining subunit: used to determine the environmental enthalpy value based on ambient temperature and humidity;

[0038] The second determining sub-unit: Based on environmental wind speed and direction data, an airflow coupling analysis algorithm is used to evaluate the interaction between environmental wind and fan exhaust, and to generate an environmental wind gain coefficient.

[0039] The third sub-unit is determined by combining the wind speed monitoring of the cooling fan body and the airfoil analysis of the blades to determine the aerodynamic efficiency.

[0040] Multi-objective speed optimization sub-unit: Based on the transformer thermal model, the output regional heat load is constructed, a multi-objective optimization function is built, and the cooling capacity and energy consumption are comprehensively considered to dynamically solve the target fan speed;

[0041] The adaptive speed correction subunit collects the deviation between the actual speed of the cooling fan body and the target speed in real time, and dynamically corrects the target speed based on the fluctuation of the ambient wind gain coefficient. When the ambient wind gain coefficient suddenly increases, the target speed is automatically reduced by 5%-10% to avoid energy waste. When the ambient wind gain coefficient drops sharply, the target speed is immediately increased by 3%-8% to ensure the cooling effect.

[0042] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0043] When the transformer coil dimensions change, the adjustable bracket is adjusted to precisely adjust the air outlet angle of the cooling fan body. This better dissipates the heat generated by the transformer and lowers its temperature.

[0044] Tooth-knob lock: After adjustment, the knob engages with the teeth to ensure a stable angle and prevent vibration from causing angle deviation.

[0045] Stainless steel door hinges: lightweight, corrosion resistant, and suitable for complex environments. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0047] Figure 1 This is a schematic diagram of the structure of the present invention.

[0048] In the diagram: 1. Cooling fan body; 2. Fan base; 3. Adjustable bracket; 4. Mounting bracket. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0050] This invention provides a dry-type transformer cooling fan and its control system, such as... Figure 1 As shown, it includes:

[0051] Angle adjustment mechanism and cooling fan body 1, with the cooling fan body 1 installed at the working end of the angle adjustment mechanism.

[0052] Preferably, the angle adjustment mechanism includes:

[0053] The fan base 2 and the adjustable bracket 3 are hinged to the fan base 2. The mounting bracket 4 is fixedly connected to the adjustable bracket 3 and is fixedly connected to the cooling fan body 1.

[0054] Preferably, a locking mechanism is provided at the hinge point between the adjustable bracket 3 and the fan base 2. The locking mechanism is used to keep the adjustable bracket 3 at the adjusted angle after the angle of the adjustable bracket 3 has been adjusted.

[0055] Preferably, the locking mechanism is a tooth-knob locking mechanism. After the angle is adjusted, the knob engages with the teeth to achieve mechanical fixation. The knob is connected to the adjustable bracket 3.

[0056] Preferably, the adjustable bracket 3 is hinged to the fan base 2 via a stainless steel door hinge;

[0057] The air outlet angle of the cooling fan body 1 is adjustable from 5 to 10 degrees.

[0058] Preferably, after angle adjustment, the maximum air outlet of the cooling fan body 1 is aligned with the coil section of the transformer.

[0059] The beneficial effects of the above scheme are as follows:

[0060] When the transformer coil dimensions change, the adjustable bracket 3 is adjusted to precisely adjust the air outlet angle of the cooling fan body 1. This better dissipates the heat generated by the transformer and lowers its temperature.

[0061] Tooth-knob lock: After adjustment, the knob engages with the teeth to ensure a stable angle and prevent vibration from causing angle deviation.

[0062] Stainless steel door hinges: lightweight, corrosion resistant, and suitable for complex environments.

[0063] Example 2, based on Example 1, provides a control system for a dry-type transformer cooling fan, the control system comprising:

[0064] First data acquisition module: used to acquire transformer operating parameters;

[0065] The second acquisition module is used to acquire the operating parameters of the cooling fan body 1.

[0066] The third data acquisition module is used to collect environmental parameters of the environment where the cooling fan body 1 is located.

[0067] The control device is electrically connected to the first acquisition module, the second acquisition module, the third acquisition module, and the cooling fan body 1.

[0068] Preferably, the first acquisition module includes:

[0069] Temperature acquisition unit: Temperature sensors are arranged at preset intervals along the axial and radial directions of the transformer winding to acquire the winding temperature at their location and output the winding temperature distribution matrix;

[0070] Iron core magnetic flux acquisition unit: It acquires the change of iron core magnetic flux through Rogowski coil sensor, and calculates iron core loss and temperature trend based on the change of magnetic flux.

[0071] The second acquisition module includes:

[0072] Fan vibration acquisition unit: Employs a triaxial accelerometer, installed at key vibration monitoring points on the cooling fan body 1, to acquire vibration frequency, amplitude, and direction data; calculates the vibration frequency spectrum through fast Fourier transform;

[0073] Fan speed acquisition unit: used to monitor the fan speed of cooling fan body 1;

[0074] The third acquisition module includes:

[0075] Ambient temperature and humidity acquisition unit: used to monitor ambient temperature and humidity;

[0076] Ambient wind speed and direction acquisition unit: used to acquire ambient wind speed and direction at the cooling fan body 1.

[0077] Preferably, the control device includes an intelligent control module, which includes: a core hysteresis loss coefficient determination unit: using a Rogowski coil and a magnetic flux analysis system, acquiring the complete waveform of the core magnetic flux, and combining it with a hysteresis characteristic database to dynamically calculate the core hysteresis loss coefficient;

[0078] Current density determination unit: The unit acquires transient data of winding current through a high-frequency Hall current sensor, and obtains the winding current density and winding current density non-uniformity through a current distribution analysis algorithm.

[0079] Transformer thermal model building unit: Integrating winding temperature distribution matrix, core loss, winding current density, winding current density non-uniformity, winding temperature gradient, and core hysteresis loss coefficient to build an overall thermal load model of the transformer.

[0080] Dynamic heat load zone division unit: Based on the transformer thermal model, the overall heat load model output by the unit is constructed. Combined with the insulation level differences of different areas of the winding, the winding is divided into special protection zone, first protection zone and second protection zone, and the heat load threshold of each area is marked simultaneously.

[0081] Single fan coverage efficiency analysis subunit: Combining the spatial relationship between the fan outlet and each protected zone, calculate the actual cooling air volume ratio of different protected zones, and provide a spatial compensation basis for temperature weight adjustment;

[0082] Temperature gradient trend prediction subunit: By analyzing historical winding temperature gradient data and combining it with the transformer load change trend, a time-series prediction algorithm is used to predict the temperature gradient change trend of each protection zone in the next 30 minutes. When it is predicted that the temperature gradient of the special protection zone will exceed the safety threshold, the fan pre-speed adjustment mechanism is triggered in advance.

[0083] Fan energy efficiency optimization unit: Combining the heat load output by the thermal model, the ambient temperature and humidity and the single fan coverage efficiency analysis results, dynamic temperature weights are set for different protection zones. With the goal of optimal energy efficiency, the target fan speed is output to the cooling fan body 1.

[0084] Preferably, the wind turbine energy efficiency optimization unit includes:

[0085] First determining subunit: used to determine the environmental enthalpy value based on ambient temperature and humidity;

[0086] The second determining sub-unit: Based on environmental wind speed and direction data, an airflow coupling analysis algorithm is used to evaluate the interaction between environmental wind and fan exhaust, and to generate an environmental wind gain coefficient.

[0087] The third sub-unit is determined by combining the wind speed monitoring and blade airfoil analysis of the cooling fan body 1 to determine the aerodynamic efficiency.

[0088] Multi-objective speed optimization sub-unit: Based on the transformer thermal model, the output regional heat load is constructed, a multi-objective optimization function is built, and the cooling capacity and energy consumption are comprehensively considered to dynamically solve the target fan speed;

[0089] Speed ​​Adaptive Correction Subunit: Real-time acquisition of the deviation between the actual speed of the cooling fan body 1 and the target speed, combined with the fluctuation of the ambient wind gain coefficient, dynamically corrects the target speed; when the ambient wind gain coefficient suddenly increases, the target speed is automatically reduced by 5%-10% to avoid energy waste; when the ambient wind gain coefficient suddenly decreases, the target speed is immediately increased by 3%-8% to ensure the cooling effect.

[0090] The beneficial effects of the above scheme are as follows:

[0091] The control system collects transformer operating parameters, cooling fan operating parameters, and environmental parameters through the first, second, and third acquisition modules, respectively. After processing and analyzing these parameters, the control device achieves precise control of the cooling fan, forming a complete closed-loop system of "data acquisition-analysis and processing-execution control".

[0092] I. Precise Monitoring: Covering multiple dimensions of operating parameters;

[0093] Transformer side:

[0094] Temperature acquisition unit: Axial and radially spaced sensors (preset interval ≤ 5cm) output winding temperature distribution matrix, solving the problem that traditional "single-point temperature measurement" cannot identify local overheating (such as winding hot spot temperature difference ≤ 2℃).

[0095] Iron core flux acquisition unit: Through Rogowski coil + flux analysis, it calculates iron core loss and temperature trend, and provides an early warning of iron core overheating 30 minutes in advance (traditional monitoring only monitors temperature, with a lag of ≥10 minutes).

[0096] Fan side:

[0097] Vibration acquisition unit: triaxial accelerometer + fast Fourier transform, identifies faults such as impeller imbalance (vibration frequency spectrum characteristic value matching) and bearing wear (high frequency vibration component > 2kHz), and provides early warning 5 days in advance (traditional vibration monitoring is lagging, and the fault is already damaged when it is discovered).

[0098] Speed ​​acquisition unit: Real-time monitoring of speed to provide basic data for energy efficiency optimization.

[0099] Environmental aspects:

[0100] Temperature, humidity, wind speed and direction data acquisition unit: All-dimensional environmental perception, adaptable to complex scenarios (such as outdoor transformer substations and high-humidity data centers), providing environmental correction basis for energy efficiency optimization.

[0101] II. Intelligent Modeling: Constructing a Multiphysics Coupled Thermal Model

[0102] Determination of core hysteresis loss coefficient:

[0103] By integrating the complete magnetic flux waveform and hysteresis characteristic database, the loss coefficient is dynamically calculated, and the core hysteresis loss is accurately quantified (traditional methods ignore hysteresis characteristics, resulting in a loss calculation error of ≥15%).

[0104] Current density analysis:

[0105] High-frequency Hall sensor + current distribution analysis algorithm outputs current density and non-uniformity, identifies local overcurrent in winding (warning when non-uniformity > 10%), and prevents winding burnout;

[0106] Transformer thermal model:

[0107] By integrating six parameters, including temperature distribution matrix, core loss, and current density, a multi-physics coupled heat load model is constructed to achieve regional division of heat load (special grade / first grade / second grade protection zone), solving the problem that traditional "overall thermal model" cannot accurately control temperature (regional temperature difference ≤3℃).

[0108] III. Energy Efficiency Optimization: Dynamically Adapting to Multiple Objectives

[0109] Environmental energy efficiency perception:

[0110] Ambient enthalpy and airflow coupling analysis are used to generate an ambient wind gain coefficient, which is then used to assist cooling with natural wind (when ambient wind is effective, fan power consumption is reduced by 20%).

[0111] Aerodynamic efficiency optimization:

[0112] Wind speed monitoring and blade airfoil analysis enable real-time correction of aerodynamic efficiency, solving the energy waste caused by the traditional "fixed efficiency assumption" (after efficiency correction, the wind turbine's energy efficiency is improved by 15%).

[0113] Multi-objective optimization:

[0114] Regional heat load plus dynamic optimization function balances cooling capacity and energy consumption (prioritizes cooling when load > 80%, and prioritizes energy saving when load < 30%), resulting in an overall energy efficiency improvement of 25%.

[0115] IV. Fault Early Warning: Full-Process Prediction and Self-Healing

[0116] Temperature gradient prediction:

[0117] The time-series prediction algorithm, combined with historical data learning, can predict sudden temperature gradient changes 30 minutes in advance and trigger a pre-speed regulation mechanism (traditional temperature control is lagging, with an overheating response time of ≥5 minutes).

[0118] Speed ​​adaptive correction:

[0119] Real-time acquisition of deviation value + ambient wind gain coefficient, dynamic correction of speed (speed response time ≤2s when ambient wind changes suddenly), avoiding frequent start-stop of the fan (extending lifespan by 10%).

[0120] V. Dynamic Adaptation: Covering the operational needs of all scenarios

[0121] Complex environments: Adaptable to outdoor transformer substations (where temperature and humidity fluctuate drastically);

[0122] Load fluctuation: When the transformer load changes from 20% to 100%, the control strategy is automatically switched (load identification response time ≤ 1s).

[0123] Cluster collaboration: Supports collaborative control of multiple fans (cluster size ≥ 10 units), and dynamically allocates cooling resources according to regional heat load (cluster energy consumption reduced by 15%).

[0124] The setting of different temperature weights for different protection zones can achieve "virtual zoning emphasis" by dynamically adjusting the fan speed. For example, when the temperature of the special protection zone is close to the threshold (e.g., 85℃) while the temperature of the secondary protection zone is lower (e.g., 40℃), the system assigns a 60% temperature weight to the special protection zone, 30% to the primary protection zone, and 10% to the secondary protection zone. At this time, the fan speed calculation is dominated by the needs of the special protection zone, and the speed is quickly increased to 2000 r / min to enhance overall heat dissipation. At the same time, the temperature of the special protection zone is indirectly reduced firstly through heat conduction (actual tests show that the temperature reduction rate of the special protection zone is 15%-20% faster than without weight setting), which solves the pain point of "uniform cooling but insufficient key areas" of fixed-angle fans.

[0125] A single fan needs to dissipate heat for the entire area. If the same temperature weight is applied to all areas, it is easy to waste energy by "over-speeding up to meet the slight temperature increase of low-priority areas." By differentiating the weights, when the temperature fluctuates in the secondary protection zone (e.g., ±5℃), its impact on the fan speed is weakened because its weight is only 10%, and the current speed (e.g., 1500 r / min) can be maintained. However, when the temperature fluctuates in the special protection zone beyond ±2℃, the speed adjustment is immediately triggered because its weight accounts for 60%. Actual measurements show that compared with uniform control without weights, the energy consumption of a single fan can be reduced by 10%-15%, especially when the transformer is under low load (≤30%), the energy-saving effect is more significant.

[0126] The operational stability of a single fan directly affects the reliability of the cooling system, and frequent start-stop cycles are a key factor leading to shortened fan lifespan. By setting temperature weights, the wide temperature tolerance (±5℃) of the secondary protection zone can reduce unnecessary start-stop cycles caused by temperature fluctuations in secondary areas (e.g., reducing start-stop cycles by 3-5 times per day); simultaneously, the strict temperature control (±2℃) of the special protection zone is achieved through continuous fine-tuning of the speed (e.g., 1500r / min ± 100r / min), avoiding large speed fluctuations caused by sudden temperature rises and falls (traditional unweighted control may result in jumps from 1000r / min to 2500r / min). As a result, the mechanical wear of a single fan is reduced by 20%-30%, and the expected lifespan is extended by 2-3 years.

[0127] When a transformer experiences a sudden localized fault (such as a winding short circuit), the temperature in the highest-level protection zone may surge to 90°C within 10 seconds, while the temperature in other areas may not have changed significantly. In this situation, the high weighting of 60% causes the system to ignore data from less important areas and prioritize responding to signals from the highest-level protection zone. Within 1-2 seconds, the speed of a single fan is increased to its maximum value (e.g., 2500 r / min), thus rapidly suppressing the spread of hotspot temperature by enhancing overall performance. Compared to a no-weighting system (which requires averaging the temperature across all areas before responding), the fault handling lag time is reduced by 3-5 seconds, lowering the risk of hotspot temperature exceeding the threshold by more than 40%, and providing more reliable emergency protection for single-fan systems.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A control system for a dry-type transformer cooling fan, characterized in that, The dry-type transformer cooling fan includes an angle adjustment mechanism and a cooling fan body (1), with the cooling fan body (1) installed at the working end of the angle adjustment mechanism; The control system includes: First data acquisition module: used to acquire transformer operating parameters; Second acquisition module: used to acquire the operating parameters of the cooling fan body (1); The third acquisition module is used to acquire environmental parameters of the environment in which the cooling fan body (1) is located; The control device is electrically connected to the first acquisition module, the second acquisition module, the third acquisition module, and the cooling fan body (1), respectively. The first data acquisition module includes: Temperature acquisition unit: Temperature sensors are arranged at preset intervals along the axial and radial directions of the transformer winding to acquire the winding temperature at their location and output the winding temperature distribution matrix; Iron core magnetic flux acquisition unit: It acquires the change of iron core magnetic flux through Rogowski coil sensor, and calculates iron core loss and temperature trend based on the change of magnetic flux. The second acquisition module includes: Fan vibration acquisition unit: A triaxial accelerometer is installed at the key vibration monitoring part of the cooling fan body (1) to collect vibration frequency, amplitude and direction data; the vibration frequency spectrum is calculated by fast Fourier transform; Fan speed acquisition unit: used to monitor the fan speed of the cooling fan body (1); The third acquisition module includes: Ambient temperature and humidity acquisition unit: used to monitor ambient temperature and humidity; Ambient wind speed and direction acquisition unit: used to collect ambient wind speed and direction at the cooling fan body (1); The control device includes an intelligent control module, which includes: a core hysteresis loss coefficient determination unit: using a Rogowski coil and a magnetic flux analysis system, it acquires the complete waveform of the core magnetic flux, and dynamically calculates the core hysteresis loss coefficient by combining the hysteresis characteristic database; Current density determination unit: The unit acquires transient data of winding current through a high-frequency Hall current sensor, and obtains the winding current density and winding current density non-uniformity through a current distribution analysis algorithm. Transformer thermal model building unit: Integrating winding temperature distribution matrix, core loss, winding current density, winding current density non-uniformity, winding temperature gradient, and core hysteresis loss coefficient to build an overall thermal load model of the transformer. Dynamic heat load zone division unit: Based on the transformer thermal model, the overall heat load model output by the unit is constructed. Combined with the insulation level differences of different areas of the winding, the winding is divided into special protection zone, first protection zone and second protection zone, and the heat load threshold of each area is marked simultaneously. Single fan coverage efficiency analysis subunit: Combining the spatial relationship between the fan outlet and each protected zone, calculate the actual cooling air volume ratio of different protected zones, and provide a spatial compensation basis for temperature weight adjustment; Temperature gradient trend prediction subunit: By analyzing historical winding temperature gradient data and combining it with the transformer load change trend, a time-series prediction algorithm is used to predict the temperature gradient change trend of each protection zone in the next 30 minutes. When it is predicted that the temperature gradient of the special protection zone will exceed the safety threshold, the fan pre-speed adjustment mechanism is triggered in advance. Fan energy efficiency optimization unit: Combining the output heat load, ambient temperature and humidity and single fan coverage efficiency analysis results of the thermal model, dynamic temperature weights are set for different protection zones, with the goal of optimal energy efficiency, and the target fan speed is output to the cooling fan body (1). The wind turbine energy efficiency optimization unit includes: First determining subunit: used to determine the environmental enthalpy value based on ambient temperature and humidity; The second determining sub-unit: Based on environmental wind speed and direction data, an airflow coupling analysis algorithm is used to evaluate the interaction between environmental wind and fan exhaust, and to generate an environmental wind gain coefficient. The third sub-unit is determined by combining the wind speed monitoring and blade airfoil analysis of the cooling fan body (1) to determine the aerodynamic efficiency. Multi-objective speed optimization sub-unit: Based on the transformer thermal model, the output regional heat load is constructed, a multi-objective optimization function is built, and the cooling capacity and energy consumption are comprehensively considered to dynamically solve the target fan speed; Speed ​​Adaptive Correction Subunit: Real-time acquisition of the deviation between the actual speed and the target speed of the cooling fan body (1), combined with the fluctuation of the ambient wind gain coefficient, to dynamically correct the target speed; when the ambient wind gain coefficient suddenly increases, the target speed is automatically reduced by 5%-10% to avoid energy waste; when the ambient wind gain coefficient decreases sharply, the target speed is immediately increased by 3%-8% to ensure the cooling effect.

2. The control system for a dry-type transformer cooling fan according to claim 1, characterized in that, The angle adjustment mechanism includes: The fan base (2) and the adjustable bracket (3) are hinged to the fan base (2). The mounting bracket (4) is fixedly connected to the adjustable bracket (3) and is fixedly connected to the cooling fan body (1).

3. The control system for a dry-type transformer cooling fan according to claim 2, characterized in that, A locking mechanism is provided at the hinge joint between the adjustable bracket (3) and the fan base (2). The locking mechanism is used to keep the adjustable bracket (3) at the adjusted angle after the angle of the adjustable bracket (3) is adjusted.

4. The control system for a dry-type transformer cooling fan according to claim 3, characterized in that, The locking mechanism is a tooth-knob locking mechanism. After adjusting the angle, the knob engages with the teeth to achieve mechanical fixation. The knob is connected to the adjustable bracket (3).

5. The control system for a dry-type transformer cooling fan according to claim 1, characterized in that, The adjustable bracket (3) is hinged to the fan base (2) via stainless steel door hinges; The air outlet angle of the cooling fan body (1) is adjustable from 5 to 10 degrees.

6. The control system for a dry-type transformer cooling fan according to claim 1, characterized in that, After the angle is adjusted, the maximum air outlet of the cooling fan body (1) is aligned with the coil part of the transformer.

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