Heat dissipation control method and device for medium-high frequency transformer and medium

Abstract

The embodiment of the invention discloses a heat dissipation control method and device for a medium-high frequency transformer and a medium, and relates to the technical field of transformers, and the method comprises the steps: monitoring the operation temperature of the transformer through a preset temperature detection assembly, so as to collect the temperature data of a plurality of real-time parts of the transformer; according to the multiple pieces of real-time part temperature data, a real-time three-dimensional temperature field feedback matrix corresponding to the transformer is constructed, and real-time temperature rise evaluation parameters of the transformer are determined based on the real-time three-dimensional temperature field feedback matrix; matching a current heat dissipation mode corresponding to the composite heat dissipation system according to the real-time temperature rise evaluation parameters of the transformer by using a preset constructed multi-stage temperature threshold linkage strategy; according to the current heat dissipation mode, the heat dissipation control parameters of the composite heat dissipation system are determined, heat dissipation control is carried out on the transformer through the heat dissipation control parameters, a traditional switching strategy based on a single temperature threshold value or simple linear regulation logic is changed, and the problem of heat dissipation delay or over-regulation is avoided.

Description

TECHNICAL FIELD

[0001] The present specification relates to the technical field of transformers, and particularly relates to a heat dissipation control method, device and medium of a medium-high frequency transformer. BACKGROUND

[0002] As a key equipment in new energy power system, rail transit traction power supply, high-frequency switching power supply and other fields, the core function of the medium-high frequency transformer is to efficiently realize power conversion and energy transmission. With the rapid development of power electronic devices towards high power density and high frequency, the operating loss of the medium-high frequency transformer increases significantly, and the local temperature rise of the winding and the core is increasingly prominent. The heat dissipation design of the traditional power frequency transformer cannot meet the stringent requirements of temperature rise control under medium-high frequency working conditions, especially the transient heat accumulation effect caused by high power density, which can accelerate the aging of insulation materials, reduce the reliability of the equipment and cause safety hazards.

[0003] At present, the heat dissipation control method for the medium-high frequency transformer usually adopts single heat dissipation mode such as air cooling or water cooling. For example, independent air cooling relies on forced air convection, but cannot meet the rapid heat dissipation demand of concentrated heat sources under high-frequency and high-current working conditions, and the heat dissipation efficiency is significantly affected by the ambient temperature. In addition, although single water cooling can improve the heat dissipation capacity, it is easy to cause energy waste and has the risk of liquid leakage under low load working conditions. In addition, in the prior art, when two heat dissipation modes are combined, a single temperature threshold or linear regulation logic is usually used, such as starting the water cooling component when the temperature of a certain point exceeds the threshold. The switching strategy relies on a fixed temperature threshold, which leads to heat dissipation delay or over-regulation, and lacks comprehensive consideration of key parameters such as temperature rise rate and temperature gradient. In addition, when temperature data is used as the trigger, the traditional transformer temperature measurement point is usually set in a fixed manner. However, the thermal distribution corresponding to different winding structures is different, and the unified measurement point setting method cannot accurately capture the three-dimensional thermal distribution inside the winding (especially the axial and radial gradients), which leads to low accuracy in the temperature rise evaluation process and affects the effectiveness of the heat dissipation decision.

[0004] Therefore, in the application scenario of medium-high frequency working conditions, the traditional transformer heat dissipation control method is limited by the inaccurate temperature rise evaluation process and the reliance on fixed temperature threshold switching, which leads to the inability of the heat dissipation efficiency to meet the rapid heat dissipation demand under medium-high frequency working conditions. SUMMARY

[0005] One or more embodiments of the present specification provide a heat dissipation control method, device and medium of a medium-high frequency transformer, which solve the technical problem that in the application scenario of medium-high frequency working conditions, the traditional transformer heat dissipation control method is limited by the inaccurate temperature rise evaluation process and the reliance on fixed temperature threshold switching, which leads to the inability of the heat dissipation efficiency to meet the rapid heat dissipation demand under medium-high frequency working conditions.

[0006] One or more embodiments of the present specification adopt the following technical solutions:

[0007] One or more embodiments of the present specification provide a heat dissipation control method of a medium-high frequency transformer, applied to a transformer, the transformer comprising a temperature detection component and a composite heat dissipation system, the composite heat dissipation system comprising an air-cooled heat dissipation component and a water-cooled heat dissipation component, the method comprising: monitoring the operating temperature of the transformer by the pre-set temperature detection component to collect a plurality of real-time component temperature data of the transformer; constructing a real-time three-dimensional temperature field feedback matrix corresponding to the transformer according to the plurality of real-time component temperature data, to determine a real-time temperature rise evaluation parameter of the transformer based on the real-time three-dimensional temperature field feedback matrix; matching a current heat dissipation mode corresponding to the composite heat dissipation system according to the real-time temperature rise evaluation parameter of the transformer by using a multi-level temperature threshold linkage strategy constructed in advance; determining a heat dissipation control parameter of the composite heat dissipation system according to the current heat dissipation mode, to perform heat dissipation control on the transformer by the heat dissipation control parameter. One or more embodiments of the present specification provide a heat dissipation control device of a medium-high frequency transformer, comprising:

[0008] at least one processor; and

[0009] a memory connected in communication with the at least one processor; wherein

[0010] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the above method.

[0011] One or more embodiments of the present specification provide a non-volatile computer storage medium, storing computer executable instructions, the computer executable instructions being configured to execute the above method.

[0012] The above at least one technical scheme adopted by the embodiments of the present specification can achieve the following beneficial effects: Through the above technical scheme, the real-time component temperature data is collected by pre-setting the temperature detection component, which changes the traditional fixed measurement point setting method and can more accurately capture the thermal distribution corresponding to different winding structures; the thermal distribution of different winding structures is different, and this flexible measurement point setting can accurately capture the three-dimensional thermal distribution inside the winding, laying a foundation for subsequent accurate assessment of the temperature state of the transformer; a real-time three-dimensional temperature field feedback matrix is constructed based on the collected real-time component temperature data, and real-time temperature rise evaluation parameters are determined accordingly; unlike the traditional single temperature threshold or simple linear regulation logic, the key parameters such as temperature rise rate and temperature gradient are comprehensively considered, which can more comprehensively and accurately reflect the temperature rise state of the transformer, improve the accuracy of the temperature rise evaluation process, and provide a reliable basis for subsequent reasonable heat dissipation decisions; using the pre-set multi-level temperature threshold linkage strategy, the current heat dissipation mode is matched according to the real-time temperature rise evaluation parameters, which changes the traditional switching strategy based on a single temperature threshold or simple linear regulation logic, avoids heat dissipation delay or over-regulation problems, and comprehensively considers various temperature states of the transformer during operation, which can more flexibly and accurately match the heat dissipation mode and improve the response speed and adaptability of the heat dissipation system; the heat dissipation control parameters are determined according to the matched current heat dissipation mode, realizing accurate heat dissipation control of the transformer; compared with the limitations of traditional single air-cooled or water-cooled heat dissipation methods, a composite heat dissipation system is formed by combining air-cooled and water-cooled components, suitable heat dissipation modes and corresponding control parameters are selected for different working conditions, effectively avoiding the shortcomings of single heat dissipation methods under high power density or low load conditions, significantly improving the heat dissipation efficiency, and meeting the rapid heat dissipation demand under medium and high frequency conditions; through accurate temperature monitoring, reasonable temperature rise evaluation and efficient heat dissipation control, the local temperature rise of the winding and the core of the medium and high frequency transformer caused by increased operating loss is effectively solved, the transient thermal accumulation effect under high power density is prevented from accelerating the aging of the insulation material, the safety hidden danger caused by overheating is reduced, thereby improving the reliability and safety of the transformer operation and prolonging the service life; in view of the problem that single water-cooled heat dissipation is easy to cause energy waste under low load conditions, the heat dissipation mode is matched through the multi-level temperature threshold linkage strategy, which can select the appropriate heat dissipation method according to the actual operating state of the transformer, avoid unnecessary energy consumption, realize energy saving and consumption reduction, and reasonably utilize the air-cooled and water-cooled components, thereby improving the utilization efficiency of the heat dissipation resources and optimizing the energy consumption management of the entire heat dissipation system. BRIEF DESCRIPTION OF DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present specification or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments described in the present specification, and other drawings can be obtained by those skilled in the art without creative labor. In the drawings:

[0014] Figure 1 A flowchart of a heat dissipation control method of a medium-high frequency transformer provided by an embodiment of the present specification is shown in

[0015] Figure 2 A structural diagram of a transformer provided by an embodiment of the present specification is shown in

[0016] Figure 3 A structural diagram of a heat dissipation control device of a medium-high frequency transformer provided by an embodiment of the present specification is shown in DETAILED DESCRIPTION

[0017] In order for those skilled in the art to better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be described clearly and completely in combination with the drawings in the embodiments of the present specification. Obviously, the described embodiments are only some embodiments of the present specification, not all embodiments. Based on the embodiments of the present specification, all other embodiments obtained by those skilled in the art without creative labor should be within the scope of protection of the present specification.

[0018] The embodiments of the present specification provide a heat dissipation control method of a medium-high frequency transformer. It should be noted that the execution subject in the embodiments of the present specification can be a server or any device with data processing capability. Figure 1 A flowchart of a heat dissipation control method of a medium-high frequency transformer provided by an embodiment of the present specification is shown in Figure 1 As shown, the method mainly includes the following steps:

[0019] In step S101, the running temperature of the transformer is monitored by the pre-set temperature detection component to collect multiple real-time component temperature data of the transformer.

[0020] In an embodiment of the present specification, a heat dissipation control method of a medium-high frequency transformer is applied to a transformer, which includes a temperature detection component and a composite heat dissipation system. The composite heat dissipation system includes an air-cooled heat dissipation component and a water-cooled heat dissipation component. Figure 2 A structural diagram of a transformer provided by an embodiment of the present specification is shown in Figure 2As shown, the transformer is composed of a core 1, a high-voltage winding 2, a low-voltage winding 6, a support base 9, a support frame 3, and a cooling system. The cooling system includes a water cooling assembly and an air cooling assembly.

[0021] In one example of the present specification, the water cooling assembly can be a water cooling plate, and the air cooling assembly is an air cooling channel to support natural convection and forced air cooling. Figure 2 As shown, the high-voltage winding 2 and the low-voltage winding 6 are both made of epoxy resin vacuum casting, which has good insulation performance. 4 is a water cooling plate for cooling the low-voltage winding and the core, 5 is a water cooling plate for the high-voltage winding, 7 is an air cooling channel for the winding, and 8 is an air cooling channel for the core. The main heat generating components of the entire transformer are the core and the winding, which can both dissipate heat through the water cooling plate and the air cooling channel. Multiple water cooling plates are connected in series and parallel through pipes outside to form a water cooling system. At the same time, the high-voltage winding, the low-voltage winding, and the core are provided with air cooling channels. The transformer can be cooled by natural convection and forced air cooling, forming an air cooling system. The entire transformer has two sets of cooling systems working simultaneously, forming an adjustable air-water cooling system, which effectively dissipates the heat generated at medium and high frequencies, reduces the temperature rise and loss of the product, and greatly improves the power density of the transformer.

[0022] Due to the need to have a high power frequency withstand level, the commonly used 10kV power grid system requires that the transformer withstand 35kV AC power frequency voltage for 1 minute, so the high-voltage winding and the low-voltage winding need to consider a certain insulation thickness and insulation distance, so that the high-voltage winding meets the requirement of 35kV power frequency withstand voltage for the low-voltage winding. Under the premise of meeting the good heat dissipation structure, the composite insulation structure is adopted in the "distance" from the high-voltage winding to the low-voltage winding, the structure form of "high-voltage conductor-resin-air-resin-low-voltage conductor", the thickness of the resin is set reasonably, the electric field strength in the air is ensured to be less than the air ionization field strength, and a certain redundancy is also ensured, while the thickness of the resin and the gap of the air are reasonably ensured, the insulation strength is ensured, and the efficiency of heat conduction of the high-voltage winding and the low-voltage winding to the outside is improved, and the heat dissipation effect is improved. Due to the requirement of high power density, the low-voltage winding and the core water cooling plate 4 are arranged between the low-voltage winding and the core, the heat of the low-voltage winding and the core is taken away by the cooling water flowing in the water cooling plate, the volume of the low-voltage winding and the core is greatly reduced, the power density is improved, the power loss of the product is reduced, the cost is reduced, and the efficiency is improved. Due to the requirement of high power density and the requirement of heat dissipation of the high-voltage winding, the high-voltage winding water cooling plate 5 is arranged outside the high-voltage winding, the vacuum casting resin insulation form is adopted between the water cooling plate and the high-voltage winding, and the possibility of discharge breakdown of the water cooling plate to the ground potential caused by the high voltage penetrating the resin during the power frequency withstand voltage insulation test of the high-voltage winding is fully considered. The water cooling plate and the high-voltage winding need to be integrally casted to prevent air from being left between the water cooling plate and the high-voltage winding, and the possibility of air ionization discharge in the air gap between the two during the operation of the transformer or the power frequency withstand voltage test.

[0023] Before collecting the plurality of real-time component temperature data of the transformer, the method further includes: obtaining structure parameters of the transformer in advance, wherein the structure parameters include winding axial length, winding loss per unit length, core winding spacing, and winding area power density; determining setting parameters of the temperature detection assembly according to the structure parameters, so as to set the temperature detection assembly in the transformer according to the setting parameters, wherein the setting parameters include the number of measurement point settings.

[0024] In the conventional temperature detection component setting mode, a small number of surface temperature sensors are usually set according to experience data, such as thermistors of dry-type transformers. For example, in the conventional method, the measurement point positions are fixed at an interval of 50 mm according to engineering experience, which cannot adapt to the structural differences of different models of transformers, such as different heat distributions in the scenarios of short shaft and small power and large shaft and high density. The measurement point distribution is sparse and the positions of the transformers are fixed for different structural sizes, which cannot accurately capture the three-dimensional heat distribution inside the winding, especially the axial and radial gradients, so that the collected temperature data cannot represent the heat state inside the winding, there is a risk of inaccurate evaluation parameters, and the effectiveness of the heat dissipation decision is affected.

[0025] In an embodiment of the present specification, structural parameters of the transformer are obtained, and the structural parameters herein include winding axial length, winding loss per unit length, core-winding spacing, and winding area power density. It should be noted that the winding axial length (mm) is the physical length of the winding, which is related to the axial coverage density of the measuring point. The winding loss per unit length (W / mm) represents the heating intensity of the winding, which is used to reflect the heat source intensity. Higher loss or longer winding requires more intensive measuring points to avoid missing local hot spots. The winding area power density (W / cm 3 ) is the heating power per unit volume. Using the structural parameters of the transformer, the setting parameters of the temperature detection assembly are determined, and the setting parameters include the number of measuring points. According to the setting parameters, the temperature detection assembly is arranged in the transformer.

[0026] Compared with the traditional empirical setting, the number and position of measuring points are dynamically adjusted according to the specific structural parameters, which is suitable for different models and working conditions of the transformer and avoids the problem of one-size-fits-all. Moreover, the more intensive and key area measuring point layout can capture the axial and radial gradient changes, improve the reconstruction accuracy of the thermal distribution, and thus more accurately identify hot spots and temperature gradients. Since the setting parameters of the measuring points are calculated based on the structural parameters, the internal heat state can be better reflected, the risk of inaccurate temperature rise parameters is reduced, and the heat dissipation decision is more effective. By reasonably arranging the measuring points based on the structural parameters, the problem of missing measuring points due to insufficient measuring points is avoided, and the problem of resource waste due to excessive arrangement is avoided, achieving a balance between cost and performance. More accurate temperature monitoring can detect abnormal temperature rise in time, effectively control heat dissipation, prolong the service life of the equipment, and avoid faults.

[0027] Through the structural parameters, the setting parameters of the temperature detection assembly are determined, specifically including: determining the standard number of measuring points of the temperature detection assembly corresponding to the transformer through the winding axial length and the winding loss per unit length; determining the redundant number of measuring points of the temperature detection assembly based on the relationship between the winding area power density and the preset power density threshold; and generating the total number of measuring points of the temperature detection assembly through the standard number of measuring points and the redundant number of measuring points to determine the setting parameters of the temperature detection assembly.

[0028] In an embodiment of the present specification, the standard number of measuring points N std is obtained by the winding axial length L and the winding loss per unit length P unit . The longer the winding or the higher the unit loss, the more measuring points are needed to ensure that the temperature monitoring covers the heat source distribution. The calculation formula is as follows: Where C base is the reference heat dissipation coefficient (unit: W / m), which is calibrated by experiment. Here, C base= 50 W / m; is a rounding up function. Based on the relationship between the winding area power density pPand the preset power density threshold pth, when the actual power density exceeds the threshold, the redundant measurement points are proportionally increased to determine the number of redundant measurement points of the temperature detection assembly, and the monitoring redundancy is improved. The calculation formula is as shown below:

[0029]

[0030] wherein, k red is a redundancy coefficient (default is 2), which is calibrated through reliability test; N red is the number of redundant measurement points, is a rounding down function. The total number of measurement points of the temperature detection assembly is generated by the sum of the standard measurement points and the redundant measurement points. After obtaining the setting parameters of the temperature detection assembly, the total number of measurement points can be taken as a reference to set temperature monitoring points in the transformer. For example, the total number of measurement points are arranged along the winding length direction in an equidistant manner. In this process, the core winding spacing d, i.e. the average distance between the core and the winding, can also be obtained, and according to the core winding spacing d, the corresponding measurement point spacing limit condition is generated, including the minimum allowed spacing and the maximum allowed spacing, to limit the distance between the temperature monitoring points through the measurement point spacing limit condition. The minimum allowed spacing calculation formula is as follows: s = min(d / 2, S max ), wherein S max is the maximum allowed spacing, and min(·) is the minimum value function, taking the smaller value of d / 2 and S max , to ensure that under the heat dissipation demand and cost limit, the measurement point spacing can cover the heat source distribution and not be excessively redundant. When the core winding spacing is small, the thermal coupling between the core and the winding is stronger, and the local temperature gradient can be larger. Reducing the measurement point spacing (s≤d / 2) can avoid missing hot spots due to too far distance. In high power density scenarios, the concentrated heating area needs more dense measurement points to capture temperature mutations. Excessive spacing will increase the number of sensors and wiring complexity, and S max is required to balance monitoring accuracy and cost, for example, it can be taken as 0.2m.

[0031] In an embodiment of the present specification, through the temperature detection assembly arranged on the transformer in the above manner, real-time temperature acquisition of the operating temperature of the transformer is performed to obtain a plurality of real-time component temperature data of the transformer.

[0032] In step S102, a real-time three-dimensional temperature field feedback matrix corresponding to the transformer is constructed according to the plurality of real-time component temperature data, so as to determine a real-time temperature rise evaluation parameter of the transformer based on the real-time three-dimensional temperature field feedback matrix.

[0033] According to the plurality of real-time component temperature data, a real-time three-dimensional temperature field feedback matrix corresponding to the transformer is constructed, specifically comprising: according to the pre-acquired structural parameters of the transformer, a three-dimensional coordinate system of the transformer is constructed; the position information of the plurality of measuring points corresponding to the plurality of real-time component temperature data is acquired, and in the three-dimensional coordinate system of the transformer, the mapping coordinate data corresponding to each measuring point is determined according to the position information of the measuring point; the plurality of real-time component temperature data is expanded by using a preset interpolation algorithm to determine the real-time temperature reconstruction data corresponding to the transformer; and the real-time three-dimensional temperature field feedback matrix corresponding to the transformer is determined according to the real-time temperature reconstruction data.

[0034] In an embodiment of the present specification, after obtaining the plurality of real-time component temperature data (discrete temperature data points), it is first necessary to determine the position of the real-time component temperature data in the transformer. The structural parameters of the transformer, such as the axial length L of the winding and the core winding spacing, are used to define a three-dimensional coordinate system of the transformer, with the origin at the geometric center of the lower end surface of the winding, the Z-axis extending along the axial direction of the winding, and the range being 0-L; the X-axis and the Y-axis are perpendicular to the radial plane of the winding axial direction, the X-axis is parallel to the spacing direction of the core and the winding, and the Y-axis is orthogonal to the X-Z plane. Through installation data or RFID marker information, the pre-set position information of the measuring points is acquired and mapped to the three-dimensional coordinate system to generate the coordinates of the measuring points, i.e. the mapping coordinate data of the position of the measuring points in the coordinate system. Based on the temperature data of the plurality of measuring points, the three-dimensional space temperature distribution is reconstructed by using an interpolation algorithm such as a radial basis function (RBF) interpolation algorithm. The three-dimensional space is discretely processed by gridding to generate a real-time temperature field matrix, the spatial discretization parameters are set, and the interpolation temperature of each grid node is obtained by interpolation to generate a real-time three-dimensional temperature field feedback matrix. By constructing the real-time three-dimensional temperature field feedback matrix, the temperature field information of the transformer can be completely presented in the form of a matrix, and each element in the matrix corresponds to the temperature value of a specific position in the three-dimensional space, so that the temperature distribution of the transformer has an intuitive corresponding relationship in space.

[0035] Next, the above process is described taking the radial basis function (RBF) interpolation algorithm as an example, which includes the following steps: first, a Gaussian kernel function is selected to adapt to the rapid attenuation characteristic of the temperature gradient, and the formula is: where σ is the kernel width, which is related to the winding core spacing and can be half of the winding core spacing, and Pi and Pj represent the mapping coordinates of the i-th measuring point and the j-th measuring point, respectively. By solving the linear equation system Φw=T 和 Φ i,j = φ (||p i -p j ||), the weight vector w = [w1, w2, …, w N], where N represents N measurement point positions, i.e., the number of real-time temperature data. For any three-dimensional point q, the corresponding interpolated temperature is

[0036] By the technical solution, the transformer three-dimensional coordinate system is constructed according to the pre-acquired transformer structure parameters, which provides an accurate spatial framework for subsequent temperature data processing. Different transformers have differences in structure, and the coordinate system is constructed by considering the structure parameters, which can ensure that the position of each temperature measurement point in the three-dimensional space is accurately reflected, avoid temperature data positioning deviation caused by unreasonable coordinate system construction, and improve the accuracy of temperature data spatial positioning. The preset interpolation algorithm is used to expand the multiple real-time component temperature data to obtain real-time temperature reconstruction data. Since the number of actually arranged temperature measurement points is limited, it may not be able to completely cover all areas of the transformer. The interpolation algorithm can reasonably infer the temperature values of the areas where the measurement points are not arranged according to the known temperature data of the measurement points, so that the temperature data is more continuous and comprehensive, reduces the information loss caused by insufficient measurement points, and improves the accuracy of the description of the overall temperature field of the transformer. The structure parameters of the transformer, the measurement point position information and the real-time component temperature data are comprehensively considered, which can comprehensively describe the temperature distribution of the transformer in the three-dimensional space, and avoid the one-sidedness caused by relying on a single type of data. The real-time three-dimensional temperature field feedback matrix is constructed based on the real-time component temperature data, which can reflect the temperature change of the transformer in real time. As the operating state of the transformer changes, the temperature data will be updated, and the corresponding three-dimensional temperature field feedback matrix will also be updated, so as to realize dynamic tracking of the temperature field of the transformer. The dynamic tracking capability enables the heat dissipation control to be adjusted in time according to the real-time temperature state of the transformer, improving the flexibility and effectiveness of the heat dissipation control.

[0037] Based on the real-time three-dimensional temperature field feedback matrix, the real-time temperature rise evaluation parameter of the transformer is determined, specifically including: parameter extraction is performed in the real-time three-dimensional temperature field feedback matrix to calculate the maximum temperature rise, the average temperature gradient and the temperature rate in the transformer; a pre-determined weight parameter combination is acquired, and the maximum temperature rise, the average temperature gradient and the temperature rate are quantified by the weight parameter combination to generate the real-time temperature rise evaluation parameter.

[0038] In an embodiment of the present specification, parameter extraction is performed in the real-time three-dimensional temperature field feedback matrix to calculate the maximum temperature rise, the average temperature gradient and the temperature rate in the transformer. All points in the feedback matrix are traversed to find the maximum value of the highest temperature minus the reference temperature, which is the maximum temperature rise. When determining the average temperature gradient, the temperature gradients G x , G Y , G zAccording to the above results, the modulus of the temperature gradient at this temperature point is calculated, the modulus of the temperature gradient of all points is averaged, and the average temperature gradient is obtained. By the current temperature field matrix and the previous temperature field matrix collected last time, the temperature rise rate is determined by using the pre-set sampling interval, and the maximum temperature rise rate is obtained by traversing the grid points. The real-time temperature rise evaluation parameter is generated by normalizing and weightedly summing the above parameters after pre-defining the weight combination. The maximum temperature rise, the average temperature gradient and the temperature rate are normalized, and the weighted sum of the normalized data of the maximum temperature rise, the average temperature gradient and the temperature rate is obtained by using the pre-defined weight combination (for example, 0.5, 0.3, 0.2) calibrated by experiments.

[0039] Through the above technical solution, the traditional method usually relies on a single temperature index (such as surface hot spot temperature or average temperature rise), and the technical solution fuses the temperature characteristics of the maximum temperature rise, the average temperature gradient and the temperature rate in three dimensions, realizes the fine characterization of the temperature rise state of the transformer, and can locate the local overheating hidden danger (such as the abnormal gradient of the axial winding end) in the sudden load scene. The maximum temperature rise may lag behind the actual heat accumulation speed, and the temperature rate can capture abnormal trends in advance. Based on the difference approximation calculation of the modulus of the three-dimensional temperature gradient, the real-time monitoring of the axial gradient can accurately identify the heat stress concentration area of the insulation layer or the winding. By normalizing each parameter to a dimensionless value and then weightedly summing, a unified real-time temperature rise evaluation parameter is formed, the problem of direct fusion of parameters with different dimensions is solved, the real-time fine evaluation of the temperature rise state of the transformer is realized through multi-dimensional parameter extraction, dynamic weight fusion and high-frequency calculation feedback, the initiative and accuracy of the heat dissipation strategy are improved, and the early inhibition ability of local overheating hidden danger is strengthened.

[0040] In step S103, according to the real-time temperature rise evaluation parameter of the transformer, the current heat dissipation mode corresponding to the composite heat dissipation system is matched by using the pre-set multi-level temperature threshold linkage strategy.

[0041] The multi-stage temperature threshold linkage strategy is preset, and a current heat dissipation mode corresponding to the transformer is matched according to a real-time temperature rise evaluation parameter of the transformer, specifically including: obtaining a plurality of reference temperature threshold intervals in the multi-stage temperature threshold linkage strategy and a matching heat dissipation mode corresponding to each reference temperature threshold interval, wherein the matching heat dissipation mode includes any one or more of a water cooling single-stage operation mode, an air cooling single-stage operation mode, an air cooling-water cooling collaborative operation mode and a water cooling high-power-air cooling frequency reduction operation mode; matching the real-time temperature rise evaluation parameter and the plurality of reference temperature threshold intervals to determine a current falling threshold interval corresponding to the real-time temperature rise evaluation parameter; determining the current heat dissipation mode corresponding to the transformer through the matching heat dissipation mode corresponding to each reference temperature threshold interval and the current falling threshold interval.

[0042] In an embodiment of the present specification, a multi-stage temperature threshold linkage strategy is preset, that is, in the multi-stage temperature threshold linkage strategy, the corresponding heat dissipation mode in the range is set according to the value range of the temperature rise evaluation parameter. It should be noted that the reference temperature threshold interval here refers to the temperature rise evaluation parameter interval. According to the experimental test method, the value of the plurality of reference temperature threshold intervals is determined, and the correlation between different reference temperature threshold intervals and the corresponding matching heat dissipation mode is established. Assuming that the obtained reference temperature threshold interval, that is, the temperature rise evaluation parameter interval is HI < 50, 50 ≤ HI < 70, 50 ≤ HI < 70, and HI > 90, four interval ranges, the corresponding heat dissipation modes from small to large are water cooling single-stage operation mode, air cooling single-stage operation mode, air cooling-water cooling collaborative operation mode and water cooling high-power-air cooling frequency reduction operation mode, respectively. In the water cooling single-stage operation mode, only the water cooling heat dissipation component works, and the cooling liquid circulation is used to take away the heat; in the air cooling single-stage operation mode, the air is made to flow by the fan for heat dissipation; in the air cooling-water cooling collaborative operation mode, the two are combined to play their respective advantages; and in the water cooling high-power-air cooling frequency reduction operation mode, the water cooling is full power heat dissipation, and the air cooling is appropriately reduced in frequency to assist, and the heat dissipation is accurately controlled under different temperature conditions.

[0043] It should be noted that the specific heat capacity of water is large, which can absorb more heat and the temperature rise is relatively small. When the temperature rise evaluation parameter is small, the water cooling system can cope with the heat generated by the transformer, and through the circulation of the cooling liquid in the pipeline, the heat can be taken away, so that the temperature of the transformer can be effectively controlled. At this time, the water cooling system does not need to run at high power, and the energy consumption is relatively low. Moreover, without the intervention of air cooling, the additional energy consumption caused by the operation of the air cooling system can be avoided, and the overall operating cost can be reduced. With the increase of the temperature rise evaluation parameter, it may not be possible to dissipate the heat in time by relying on single-stage water cooling. The air cooling system can accelerate air flow through fans and other devices to take away the heat on the surface of the transformer. The air cooling system has a fast response speed and can supplement the heat dissipation capacity to a certain extent. The energy consumption of the air cooling system is relatively low. Compared with the operation of the water cooling system under high load, starting the air cooling system can provide additional heat dissipation capacity at a lower cost, and can maintain the temperature stability of the transformer at a lower energy consumption within a certain temperature range. When the temperature rise evaluation parameter further rises, neither single water cooling nor single air cooling can meet the heat dissipation demand. At this time, the air cooling-water cooling cooperative operation mode is adopted, which takes advantage of the high heat absorption capacity of the water cooling system and the fast heat dissipation characteristics of the air cooling system. The two systems cooperate with each other to greatly improve the heat dissipation efficiency and more effectively control the temperature of the transformer. Although the cooperative operation mode increases the energy consumption, compared with simply increasing the water cooling power or increasing the number of air cooling devices, this cooperative mode can achieve better heat dissipation effect within a reasonable energy consumption range, balancing the heat dissipation demand and energy consumption cost. When the temperature rise evaluation parameter is very high, the powerful heat dissipation capacity of the water cooling system needs to be fully utilized to run the water cooling system at maximum power to absorb a large amount of heat. At the same time, the frequency of air cooling is appropriately reduced, which can assist water cooling in heat dissipation and avoid some problems caused by excessive operation of air cooling, such as noise and increased energy consumption. Although the water cooling system runs at high power and consumes a lot of energy, at this time, the safe operation of the transformer is the top priority. Appropriately reducing the frequency of air cooling can ensure a certain heat dissipation effect while avoiding unnecessary high energy consumption of the air cooling system, thereby optimizing the overall energy consumption cost.

[0044] The real-time temperature rise evaluation parameter is compared with the obtained multiple reference temperature threshold intervals one by one. The real-time temperature rise evaluation parameter is a quantitative index that comprehensively reflects the temperature change of the transformer. Through this comparison, it can be determined which reference temperature threshold interval the parameter falls into. For example, the reference temperature threshold interval is [30, 40), [40, 50), etc. If the real-time temperature rise evaluation parameter is 45, it can be determined that it falls into the [40, 50) interval. Through the matching heat dissipation mode corresponding to each reference temperature threshold interval and the current falling threshold interval, the current heat dissipation mode corresponding to the transformer is determined. For example, the [40, 50) interval corresponds to the air cooling-water cooling cooperative operation mode. When the real-time temperature rise evaluation parameter falls into this interval, the transformer should adopt this mode for heat dissipation.

[0045] By matching the real-time temperature rise evaluation parameter with multiple reference temperature threshold intervals, the appropriate heat dissipation mode can be accurately selected according to the actual heat generation of the transformer. For example, when the temperature is in a lower threshold interval, the water cooling single-stage operation mode or the air cooling single-stage operation mode can be selected to meet the heat dissipation demand, avoiding the start of more complex or higher energy consumption heat dissipation modes when they are not needed, thereby reasonably utilizing the heat dissipation resources and improving the operation efficiency of the heat dissipation system. If this multi-level temperature threshold linkage strategy is not used, there may be situations of excessive heat dissipation leading to energy waste or insufficient heat dissipation affecting the performance and service life of the transformer. The above technical solution can ensure that the heat dissipation mode is accurately matched with the heat generation degree of the transformer, so that the transformer is always in a suitable temperature environment, ensuring its stable operation. Various heat dissipation modes can adapt to various complex working conditions, so that the heat dissipation system can flexibly adjust the heat dissipation mode according to the actual situation. Through the multi-level temperature threshold linkage strategy, the advantages of various heat dissipation modes can be fully utilized under different temperature conditions, improving the stability and reliability of the entire heat dissipation system. Selecting the appropriate heat dissipation mode according to the temperature threshold avoids the long-term operation of unnecessary high-power heat dissipation equipment, thereby reducing the energy consumption of the entire heat dissipation system.

[0046] In step S104, the heat dissipation control parameter of the composite heat dissipation system is determined according to the current heat dissipation mode, so as to control the heat dissipation of the transformer through the heat dissipation control parameter.

[0047] According to the current heat dissipation mode, the heat dissipation control parameter of the heat dissipation assembly is determined, specifically including: obtaining a mapping relationship between the pre-defined heat dissipation mode and the control parameter operator; determining the corresponding current heat dissipation control parameter operator under the current heat dissipation mode according to the mapping relationship; and determining the corresponding heat dissipation control parameter of the heat dissipation assembly through the current heat dissipation control parameter operator and the pre-determined real-time temperature rise index data, wherein the heat dissipation control parameter includes air cooling control parameter and water cooling control parameter.

[0048] In an embodiment of the present specification, the mapping relationship between the pre-defined heat dissipation mode and the control parameter operator is obtained, and the following is an example of a mapping relationship in an embodiment of the present specification. Let KT represent the real-time temperature rise index data, i.e., the actual temperature rise value. The linear air cooling operator is mapped to the air cooling single-stage mode, the thermodynamic equilibrium operator is mapped to the water cooling single-stage mode, the collaborative control operator is mapped to the air-water collaborative mode, and the exponential decay operator is mapped to the water cooling high-power-air cooling frequency reduction mode. The linear air cooling operator is F v =k v ·KT+b v , wherein k v and b vThe wind cooling linear control coefficient can be obtained by experimental calibration, and is used to correlate the temperature rise evaluation parameter and the fan speed, so as to obtain the fan speed in the wind cooling single-stage mode. Q =P loss / (ρc p ΔT), wherein ρ is 1000 kg / m 3 , c p =4180, which are all physical parameters of the cooling water, are used to calculate the water flow demand, ΔT=5℃ is the allowable temperature difference between the inlet and outlet, so as to obtain the cold water flow. The cooperative control operator is F v =η v *v max *(KT / K T，ref ) and F Q =η Q *Q max *(K T / K T,ref ), wherein η Q =1-η v , respectively represent the water cooling parameter weight coefficient η Q and the wind cooling parameter weight coefficient η v in the cooperative mode, which are used to balance the contribution proportion of the wind and water cooling, K T，ref is 80℃, which is the cooperative mode reference threshold, v max is the maximum fan speed, and Q max is the maximum water flow. The exponential decay operator is F emergency (K T )=v max .e -λK T , wherein λ is a frequency reduction index coefficient, which controls the decay rate of the fan speed with the temperature rise, and V max is the maximum fan speed, so as to obtain the speed control parameter of the wind cooling system, and set the water cooling heat dissipation system to the maximum water flow corresponding power. According to the threshold interval into which the real-time temperature rise evaluation parameter HI falls, the control parameter operator corresponding to the current heat dissipation mode is matched. For example, when HI=85, the wind and water cooperative mode is matched, and the cooperative control operator is called to calculate the fan speed v and the water flow Q. Through dynamic mapping and real-time calculation, the heat dissipation control parameter is accurately matched with the heat load state, so that the balance between efficient heat dissipation and energy consumption optimization is realized.

[0049] After the transformer is controlled to dissipate heat by the heat dissipation control parameter, the method further includes: monitoring the composite heat dissipation system to determine a current heat dissipation state corresponding to the composite heat dissipation system; if a heat dissipation failure occurs in the current heat dissipation state, determining a heat dissipation failure parameter, and adjusting the heat dissipation control parameter according to the heat dissipation failure parameter to determine an emergency heat dissipation control strategy.

[0050] In one embodiment of the present specification, after the heat dissipation control is executed, the heat dissipation system state is monitored and the strategy is adjusted. Multi-dimensional fault monitoring is performed. First, the cooling water flow deviation is detected by the flow sensor (such as the difference between the actual flow and the set value exceeds ±10%), and it is determined that the pipeline is blocked or the water pump is faulty; when monitoring the air cooling system, the vibration sensor detects the amplitude of the fan, and if it exceeds the threshold, it is determined that the fan is unbalanced or the bearing is damaged. At the same time, temperature anomaly monitoring is carried out, and if the temperature rise rate of a certain area is >10℃ / s, it is determined that there is local thermal runaway. According to the above multi-dimensional fault monitoring process, the fault parameters of the heat dissipation control process of the heat dissipation system are extracted, the fault type code is obtained, for example, code 1 water cooling flow shortage; code 2 fan vibration exceeds the standard, in order to associate the fault level, such as single system abnormality for first-level fault, double system abnormality for second-level fault. If the water cooling fault occurs, switch to the full power mode of air cooling, and the fan speed is increased by 1.2V max ; if the air cooling fault occurs, the water cooling flow is increased to 1.5Q normal , and the load is reduced to 70% of the rated capacity. When double system fault occurs, the emergency stop command is triggered, and the standby cooling unit (such as phase change material heat dissipation module) is started. Through real-time monitoring and hierarchical response mechanism, when the heat dissipation system fails, it can quickly switch to redundant mode, continue to dissipate heat by using standby cooling unit, greatly improve the reliability and fault tolerance of the heat dissipation system, reduce the risk of equipment damage or system shutdown due to heat dissipation problems, ensure the normal operation of the whole system, reduce maintenance cost and downtime, and improve production efficiency.

[0051] By the above technical scheme, the temperature detection component is pre-set to collect a plurality of real-time component temperature data, the traditional fixed measurement point setting mode is changed, and the thermal distribution corresponding to different winding structures can be more accurately captured; the thermal distribution of different winding structures is different, and the flexible measurement point setting can accurately capture the three-dimensional thermal distribution inside the winding, laying a foundation for subsequent accurate assessment of the temperature state of the transformer; a real-time three-dimensional temperature field feedback matrix is constructed based on the collected real-time component temperature data, and real-time temperature rise evaluation parameters are determined accordingly; unlike the traditional single temperature threshold or simple linear regulation logic, the key parameters such as temperature rise rate and temperature gradient are comprehensively considered, which can more comprehensively and accurately reflect the temperature rise state of the transformer, improve the accuracy of the temperature rise evaluation process, and provide a reliable basis for subsequent reasonable heat dissipation decision; a multi-level temperature threshold linkage strategy is constructed, the current heat dissipation mode is matched according to the real-time temperature rise evaluation parameters, the traditional switching strategy based on a single temperature threshold or simple linear regulation logic is changed, the problems of heat dissipation delay or over-regulation are avoided, and the multiple temperature states of the transformer during operation are comprehensively considered, so that the heat dissipation mode can be more flexibly and accurately matched, and the response speed and adaptability of the heat dissipation system are improved; the heat dissipation control parameters are determined according to the matched current heat dissipation mode, and accurate heat dissipation control of the transformer is realized; compared with the limitations of the traditional single air cooling or water cooling heat dissipation mode, a composite heat dissipation system is formed by combining air cooling and water cooling components, appropriate heat dissipation modes and corresponding control parameters are selected for different working conditions, the shortcomings of single heat dissipation mode under high power density or low load working conditions are effectively avoided, the heat dissipation efficiency is significantly improved, and the rapid heat dissipation demand under medium and high frequency working conditions is met; through accurate temperature monitoring, reasonable temperature rise evaluation and efficient heat dissipation control, the local temperature rise of the winding and the core of the medium and high frequency transformer caused by increased operating loss is effectively solved, the transient thermal accumulation effect under high power density is prevented from accelerating the aging of the insulation material, the security risks caused by overheating are reduced, and therefore the reliability and safety of the transformer operation are improved, and the service life is prolonged; in view of the problem that single water cooling heat dissipation is easy to cause energy waste under low load working conditions, the heat dissipation mode is matched through the multi-level temperature threshold linkage strategy, appropriate heat dissipation mode can be selected according to the actual operation state of the transformer, unnecessary energy consumption is avoided, energy saving and consumption reduction are realized, the utilization efficiency of heat dissipation resources is improved, and the energy consumption management of the whole heat dissipation system is optimized.

[0052] The embodiment of the present specification also provides a heat dissipation control device for a medium and high frequency transformer, as shown in the figure, the device comprises: at least one processor; and a memory in communication connection with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the above method. Figure 3

[0053] ​The embodiment of the present specification further provides a nonvolatile computer storage medium, which stores computer executable instructions, and the computer executable instructions are configured to execute the method.

[0054] Each of the embodiments in the present specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each of the embodiments focuses on the difference from other embodiments. In particular, for the device, equipment, and nonvolatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiments.

[0055] The above describes specific embodiments of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the acts or steps recited in the claims can be performed in an order different than the order in which the acts or steps are recited in the embodiments, and still achieve desirable results. Also, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve the desired results. In certain implementations, multitasking and parallel processing can be advantageous.

[0056] The device and medium provided by the embodiments of the present specification are one-to-one corresponding to the method, and therefore, the device and medium also have similar beneficial technical effects to the method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the device and medium will not be described here.

[0057] Those skilled in the art will appreciate that embodiments of the present specification can be provided as methods, systems, or computer program products. Therefore, the present specification can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present specification can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) containing computer usable program code.

[0058] The present specification is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present specification. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce a device that implements the flowcharts and / or block diagrams. Figure 1 Each flow or multiple flows and / or blocks Figure 1an apparatus to perform each block or blocks of the flow or multiple flows and / or a function specified in the block or blocks.

[0059] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a Figure 1 an apparatus to perform each block or blocks of the flow or multiple flows and / or a function specified in the block or blocks. Figure 1 an apparatus to perform each block or blocks of the flow or multiple flows and / or a function specified in the block or blocks.

[0060] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the flow or multiple flows and / or a function specified in the block or blocks. Figure 1 an apparatus to perform each block or blocks of the flow or multiple flows and / or a function specified in the block or blocks. Figure 1 an apparatus to perform each block or blocks of the flow or multiple flows and / or a function specified in the block or blocks.

[0061] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0062] The memory can include non-persistent memory and / or volatile memory, such as random access memory (RAM) and / or cache memory. The memory can also include non-volatile memory, such as read-only memory (ROM), electrically programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), flash memory, or a combination of non-volatile memories. The memory is an example of computer-readable media.

[0063] Computer-readable media includes permanent and non-permanent, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD), or other optical storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory media, such as modulated data signals and carrier waves.

[0064] It is also to be noted that the terms "comprising", "including", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises a... " does not, without more constraints, exclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the recited element.

[0065] The foregoing merely illustrates one or more embodiments of the present specification and is not intended to limit the scope of the specification. One or more embodiments of the present specification can be modified and varied and one or more embodiments of the present specification can have various changes and further modifications without departing from the spirit and scope of the present specification. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of one or more embodiments of the present specification should be included in the scope of the claims of the present specification.

Claims

1. A heat dissipation control method for a medium-high frequency transformer, characterized by, The application is applied to a transformer, the transformer comprises a temperature detection component and a composite heat dissipation system, the composite heat dissipation system comprises an air-cooled heat dissipation component and a water-cooled heat dissipation component, and the method comprises the following steps: The operation temperature of the transformer is monitored by the pre-set temperature detection component to collect a plurality of real-time component temperature data of the transformer; According to the plurality of real-time component temperature data, a real-time three-dimensional temperature field feedback matrix corresponding to the transformer is constructed to determine a real-time temperature rise evaluation parameter of the transformer based on the real-time three-dimensional temperature field feedback matrix; A multi-level temperature threshold linkage strategy is constructed, and the real-time temperature rise evaluation parameter of the transformer is matched with a current heat dissipation mode corresponding to the composite heat dissipation system according to the real-time temperature rise evaluation parameter of the transformer; According to the current heat dissipation mode, the heat dissipation control parameter of the composite heat dissipation system is determined to control the heat dissipation of the transformer through the heat dissipation control parameter.

2. The heat dissipation control method of a medium-high frequency transformer according to claim 1, characterized in that, Before collecting the plurality of real-time component temperature data of the transformer, the method further comprises the following steps: The structural parameters of the transformer are pre-acquired, wherein the structural parameters comprise a winding axial length, a winding loss per unit length and a winding area power density; The setting parameters of the temperature detection component are determined through the structural parameters, and the temperature detection component is pre-set in the transformer according to the setting parameters, wherein the setting parameters comprise the number of measurement point settings.

3. The heat dissipation control method of a medium-high frequency transformer according to claim 2, characterized in that, The setting parameters of the temperature detection component are determined through the structural parameters, and the setting parameters of the temperature detection component specifically comprise the following steps: The standard measurement point number of the temperature detection component corresponding to the transformer is determined through the winding axial length and the winding loss per unit length; The redundant measurement point number of the temperature detection component is determined based on the relationship between the winding area power density and a preset power density threshold; The total measurement point number of the temperature detection component is generated through the standard measurement point number and the redundant measurement point number to determine the setting parameters of the temperature detection component.

4. The heat dissipation control method of a medium-high frequency transformer according to claim 1, characterized in that, According to the plurality of real-time component temperature data, a real-time three-dimensional temperature field feedback matrix corresponding to the transformer is constructed, and the construction specifically comprises the following steps: A transformer three-dimensional coordinate system is constructed according to the pre-acquired structural parameters of the transformer; The measurement point position information corresponding to the plurality of real-time component temperature data is acquired, and the mapping coordinate data corresponding to each measurement point is determined in the transformer three-dimensional coordinate system according to the measurement point position information; The plurality of real-time component temperature data is expanded by using a preset interpolation algorithm to determine the real-time temperature reconstruction data corresponding to the transformer; The real-time three-dimensional temperature field feedback matrix corresponding to the transformer is determined according to the real-time temperature reconstruction data.

5. The heat dissipation control method of a medium-high frequency transformer according to claim 1, characterized in that, Based on the real-time three-dimensional temperature field feedback matrix, the real-time temperature rise evaluation parameter of the transformer is determined, and the determination specifically comprises the following steps: Parameter extraction is performed in the real-time three-dimensional temperature field feedback matrix to calculate the maximum temperature rise, the average temperature gradient and the temperature rate in the transformer; A preset weight parameter combination is acquired, and the maximum temperature rise, the average temperature gradient and the temperature rate are quantified by using the weight parameter combination to generate the real-time temperature rise evaluation parameter.

6. The heat dissipation control method of a medium-high frequency transformer according to claim 1, characterized in that, The multi-stage temperature threshold linkage strategy is constructed in advance, and a current heat dissipation mode of the transformer is matched according to a real-time temperature rise evaluation parameter of the transformer, and the method specifically comprises the following steps: a plurality of reference temperature threshold intervals and a matching heat dissipation mode corresponding to each reference temperature threshold interval in the multi-stage temperature threshold linkage strategy are obtained, wherein the matching heat dissipation mode comprises any one or more of a water cooling single-stage operation mode, an air cooling single-stage operation mode, an air cooling-water cooling collaborative operation mode and a water cooling high-power-air cooling frequency reduction operation mode; the real-time temperature rise evaluation parameter and the plurality of reference temperature threshold intervals are matched to determine a current falling threshold interval corresponding to the real-time temperature rise evaluation parameter; the current heat dissipation mode of the transformer is determined through the matching heat dissipation mode corresponding to each reference temperature threshold interval and the current falling threshold interval.

7. The heat dissipation control method of a medium-high frequency transformer according to claim 1, characterized in that, According to the current heat dissipation mode, the heat dissipation control parameter of the heat dissipation assembly is determined, and the method specifically comprises the following steps: a mapping relationship between a predefined heat dissipation mode and a control parameter operator is obtained; a current heat dissipation control parameter operator corresponding to the current heat dissipation mode is determined according to the mapping relationship; the heat dissipation control parameter of the heat dissipation assembly is determined through the current heat dissipation control parameter operator and pre-determined real-time temperature rise index data, wherein the heat dissipation control parameter comprises an air cooling control parameter and a water cooling control parameter.

8. The heat dissipation control method of a medium-high frequency transformer according to claim 1, characterized in that, After the heat dissipation control parameter is used to control the heat dissipation of the transformer, the method further comprises the following steps: the composite heat dissipation system is monitored to determine a current heat dissipation state of the composite heat dissipation system; if a heat dissipation failure occurs in the current heat dissipation state, a heat dissipation failure parameter is determined to adjust the heat dissipation control parameter according to the heat dissipation failure parameter and determine an emergency heat dissipation control strategy.

9. A heat dissipation control device for a medium-high frequency transformer, characterized by comprising: The device comprises: at least one processor; and a memory connected in communication with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method of any one of claims 1-8.

10. A non-transitory computer storage medium storing computer-executable instructions, the computer-executable instructions comprising instructions for: receiving a request to access a file; determining whether the file is stored in a cache; and in response to determining that the file is stored in the cache, providing access to the file from the cache. The computer executable instructions are configured to execute the method of any one of claims 1-8.

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