Heat dissipation optimization method and device of control cabinet, medium and equipment

Abstract

The invention discloses a heat dissipation optimization method and device of a control cabinet, a medium and equipment, and relates to the field of heat dissipation of the control cabinet, and the method comprises the steps: determining a first temperature threshold value and a second temperature threshold value based on an average value of historical temperatures in the control cabinet, a current temperature maximum value and a preset safe temperature increment; determining the basic frequency of a pump of the cooling system in the control cabinet based on the total power and the rated power of the control cabinet and the average turbulent flow factor of a convex structure in a cooling pipeline of the cooling system in the control cabinet; based on the current temperature maximum value, the first temperature threshold value, the second temperature threshold value and the basic frequency of the pump, the output frequency of the pump is determined, and therefore a driving signal used for controlling the pump is determined. The output frequency of the pump is determined according to the real-time maximum temperature value in the control cabinet, so that the flow speed of cooling liquid is changed, heat dissipation of a high-heating area is enhanced, energy consumption and noise of a low-heating area are reduced, long-time high-intensity work of the pump is avoided, and the service life of the pump is prolonged to a certain extent.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of control cabinet heat dissipation, and in particular to a control cabinet heat dissipation optimization method, device, medium and equipment. BACKGROUND

[0002] In the existing cooling system of the control cabinet, when the electrical device in the control cabinet body starts to work, the cooling system starts to work synchronously. Since the existing control strategy adopts a unified delivery frequency of the pump of the cooling system, that is, the same delivery frequency of the pump of the cooling system is performed on all the cabinet temperatures collected in the control cabinet, the high-heat area is insufficiently cooled, the element thermal aging is accelerated, the low-heat area is excessively cooled, the condensation risk is caused, and the overall service life of the equipment is shortened. SUMMARY

[0003] The embodiments of the present application provide a control cabinet heat dissipation optimization method, device, medium and equipment to solve the problem that the same delivery frequency of the pump of the cooling system is performed on all the cabinet temperatures collected in the control cabinet in the prior art, the high-heat area is insufficiently cooled, the low-heat area is excessively cooled, and the service life of the pump of the cooling system is shortened under long-term operation.

[0004] In a first aspect, the present application provides a control cabinet heat dissipation optimization method, which comprises: Step 100, obtaining the historical temperature of N target positions in the control cabinet, the maximum value of the current temperature of the N target positions in the control cabinet, the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipeline of the cooling system in the control cabinet, N being a positive integer greater than 1; Step 200, determining a first temperature threshold according to the average value of the historical temperature of the N target positions; Step 300, determining a second temperature threshold according to the average value of the historical temperature of the N target positions and a preset safety temperature increment, the second temperature threshold being less than the first temperature threshold; Step 400, determining the basic frequency of the pump of the cooling system in the control cabinet according to the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipeline of the cooling system in the control cabinet; Step 500, determining the output frequency of the pump of the cooling system in the control cabinet according to the maximum value of the current temperature of the N target positions, the first temperature threshold, the second temperature threshold, the average turbulence factor of the protruding structure in the cooling pipeline of the cooling system in the control cabinet, and the basic frequency of the pump of the cooling system in the control cabinet; Step 600: Determine the drive signal for controlling the pump of the cooling system based on the output frequency of the pump of the cooling system in the control cabinet.

[0005] Secondly, the present invention provides a heat dissipation optimization device for a control cabinet, the heat dissipation optimization device for the control cabinet comprising: The data acquisition module is used to acquire the historical temperature of N target locations in the control cabinet, the current maximum temperature of the N target locations, the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet, where N is a positive integer greater than 1. The first temperature threshold determination module is used to determine the first temperature threshold based on the average historical temperature of N target locations; The second temperature threshold determination module is used to determine a second temperature threshold based on the average historical temperature of N target locations and a preset safe temperature increment, wherein the second temperature threshold is less than the first temperature threshold. The fundamental frequency determination module is used to determine the fundamental frequency of the pump in the cooling system of the control cabinet based on the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet. The output frequency determination module is used to determine the output frequency of the pump of the cooling system in the control cabinet based on the current maximum temperature of N target locations, the first temperature threshold, the second temperature threshold, the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet, and the fundamental frequency of the pump of the cooling system in the control cabinet. The drive signal output module is used to determine the drive signal for controlling the pump of the cooling system based on the output frequency of the pump of the cooling system in the control cabinet.

[0006] Thirdly, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the heat dissipation optimization method for the control cabinet as described in the first aspect.

[0007] Fourthly, the present invention provides a computer device, the computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the heat dissipation optimization method for the control cabinet as described in the first aspect.

[0008] The aforementioned heat dissipation optimization method for the control cabinet firstly determines a first temperature threshold and a second temperature threshold by acquiring the historical average temperature of N target locations within the control cabinet and a preset safe temperature increment, thus clarifying the temperature threshold for adjusting the output frequency of the pump in the cooling system of the control cabinet. Secondly, based on the current maximum temperature of the N target locations, the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipes of the cooling system in the control cabinet, the fundamental frequency of the pump in the cooling system of the control cabinet is determined. Thirdly, based on the determined fundamental frequency of the pump, the first weighting coefficient, the second weighting coefficient, and the proportional integral and differential calculation results of the deviation between the historical average temperature of the N target locations and the current maximum temperature, the output frequency of the pump in the cooling system of the control cabinet is determined. Finally, combined with the output frequency of the pump in the cooling system of the control cabinet, the drive signal used to control the pump of the cooling system is determined. Compared to existing technologies, this invention determines the output frequency of the pump in the cooling system within the control cabinet based on the real-time updated maximum temperature value inside the control cabinet, and determines the drive signal for controlling the pump in the cooling system. This changes the flow rate of the coolant in the cooling pipes, enhances heat dissipation in high-heat areas, and reduces energy consumption and noise in low-heat areas. It also prevents the pump in the cooling system from operating at high intensity for extended periods, thus extending the service life of the pump in the cooling system to a certain extent. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a schematic diagram of an application environment for a heat dissipation optimization method for a control cabinet according to an embodiment of the present invention; Figure 2 This is a flowchart of a heat dissipation optimization method for a control cabinet according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the heat dissipation optimization device for the control cabinet in one embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0011] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0012] The heat dissipation optimization method for control cabinets provided in this embodiment of the invention can be applied to, for example... Figure 1 The application environment is shown. Specifically, this heat dissipation optimization method is applied to a heat dissipation system, which includes, as shown in the example, a heat dissipation system. Figure 1 The diagram shows a client and server. The client and server communicate over a network to achieve real-time heat dissipation updates. The client, also known as the user terminal, is the program that provides local services to the client, corresponding to the server. The client can be installed on, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. The server can be implemented using a standalone server or a server cluster consisting of at least two servers.

[0013] In one embodiment, such as Figure 2 As shown, this embodiment provides a method for optimizing the heat dissipation of a controller, which is applied to... Figure 1 Taking the client as an example, the heat dissipation optimization method of the controller includes: Step 100: Obtain the historical temperature of N target locations in the control cabinet, the current maximum temperature of the N target locations in the control cabinet, the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet, where N is a positive integer greater than 1. Here, "control cabinet" refers to electrical equipment containing temperature sensors, power sensors, and cooling pipes; "target location" refers to a specific point located within the control cabinet where the temperature sensor installed in the cabinet can collect the corresponding temperature; "historical temperature" refers to all temperatures at N target locations previously collected by the temperature sensor installed in the control cabinet, which may include historical minimum and maximum temperatures; "current maximum temperature" refers to the maximum value among all temperatures at N target locations collected by the temperature sensor installed in the control cabinet at the current moment; "total power" refers to the cumulative power consumed by all electrical components inside the control cabinet during real-time operation; "rated power" refers to the maximum power that the control cabinet can continuously output under normal operating conditions, as determined according to the control cabinet's design specifications and safety standards; "cooling system" refers to a highly integrated system including cooling pipes, coolant, and pumps; "cooling pipes" refer to dedicated channels for transmitting coolant, possessing good thermal conductivity and corrosion resistance.

[0014] A raised structure refers to at least two semi-circular raised structures of the same size periodically arranged on the inner wall of the cooling pipes of the cooling system in the control cabinet. These raised structures are intersected on the cooling pipes, forming a recurring enhanced heat transfer unit. The raised structure here refers to the existing patent application text with publication number CN109331501A entitled "A Pneumatic Assisted Extraction Device and Method". The turbulence factor is a dimensionless parameter determined by the axial length, radial height and corresponding disturbance weight coefficient of at least two raised structures of the same size and periodically distributed in the cooling pipes of the control cabinet cooling system. It is used to comprehensively characterize the quantitative influence of the raised structure on the uniformity of coolant flow and heat exchange efficiency in the cooling pipes of the cooling system in the control cabinet. The average disturbance factor is the average value of the disturbance factors of at least two sizes of raised structures arranged in the cooling pipes of the control cabinet cooling system.

[0015] Step 200: Determine a first temperature threshold based on the average historical temperature of the N target locations; The first temperature threshold refers to the average of historical data from N target locations within the control cabinet. For example, at a certain point in the past, temperature sensors installed in the control cabinet collected historical temperatures at N target locations, denoted as follows: T 1. T 2、…、 T n Find the average of these historical temperatures, i.e., the historical average temperature, denoted as . T 0 = ( T 1+ T 2+…+ T n ) ÷ n The historical average temperature T 0 is used as the first temperature threshold.

[0016] Step 300: Determine a second temperature threshold based on the average historical temperature of N target locations and a preset safe temperature increment, wherein the second temperature threshold is less than the first temperature threshold. The preset safe temperature increment refers to the safety increment set based on the insulation class and safety margin of at least two electrical devices in the control cabinet, avoiding the drawbacks of frequent false alarms or delayed alarms under a fixed temperature threshold. The second temperature threshold is the sum of the average historical temperature of N target locations and the preset safe temperature increment. For example, if the average historical temperature of N target locations is 60℃, and the preset safe temperature increment is -5℃, then the first temperature threshold is 60℃, and the second temperature threshold is 60℃ + (-5℃) = 55℃, satisfying the condition that the second temperature threshold is less than the first temperature threshold.

[0017] Step 400: Determine the fundamental frequency of the pump in the cooling system of the control cabinet based on the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet. The fundamental frequency refers to the frequency at which the pump in the cooling system of the control cabinet operates normally, determined based on the average turbulence factor of the protruding structure within the cooling pipes of the cooling system. Under the same load conditions, the average turbulence factor is inversely proportional to the fundamental frequency of the pump in the cooling system of the control cabinet. The fundamental frequency of the pump in the cooling system of the control cabinet satisfies the following constraints: ,

[0018] ,

[0019] In the formula, f base ( t This indicates the fundamental frequency of the pump in the cooling system within the control cabinet. P ( t This indicates the total power of the control cabinet; P 额定 Indicates the rated power of the control cabinet; F ref (·) indicates the total power of the control cabinet P ( t ) and the rated power of the control cabinet P 额定 The mapping function is the independent variable; S This represents the average turbulence factor of the protruding structure within the cooling pipes of the cooling system in the control cabinet. S ref This indicates the preset reference structure disturbance factor of the control cabinet; γ Indicates the tuning parameters of the control cabinet; C s ( t ) represents the correction factor used to correct the fundamental frequency of the pump in the cooling system of the control cabinet, which is a dimensionless scaling factor determined by the structural characteristics of the control cabinet.

[0020] Step 500: Determine the output frequency of the pump of the cooling system in the control cabinet based on the current maximum temperature of the N target locations, the first temperature threshold, the second temperature threshold, the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet, and the fundamental frequency of the pump of the cooling system in the control cabinet. The output frequency refers to the actual output frequency of the pump in the cooling system of the control cabinet, which is obtained by comprehensively considering the maximum current temperature at N target locations within the control cabinet, the first temperature threshold, the second temperature threshold, and the average turbulence factor of the protruding structure within the cooling pipes of the cooling system in the control cabinet. Specifically, step 500 can be refined into steps 501 to 503, which determine the optimal output frequency of the pump in the cooling system of the control cabinet by using the relationship between the maximum current temperature at N target locations within the control cabinet and the first and second temperature thresholds.

[0021] Step 600: Determine the drive signal for controlling the pump of the cooling system based on the output frequency of the pump of the cooling system in the control cabinet.

[0022] Among them, drive signals refer to electrical signals or control commands used to control the operating status and performance of the pump in the cooling system, including switching signals and speed control signals.

[0023] The heat dissipation optimization method for the control cabinet in this embodiment first determines a first temperature threshold and a second temperature threshold by acquiring the historical average temperature of N target locations within the control cabinet and a preset safe temperature increment, thus clarifying the output frequency of the pump in the cooling system of the control cabinet. Secondly, based on the acquired current maximum temperature of the N target locations within the control cabinet, the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structures within the cooling pipes of the cooling system, the base frequency of the pump in the cooling system is determined. Thirdly, based on the acquired base frequency of the pump in the cooling system, the output frequency of the pump in the cooling system is determined. Finally, combined with the output frequency of the pump in the cooling system, a drive signal for controlling the pump in the cooling system is determined to change the flow rate of the coolant in the cooling pipes. Compared to existing technologies, this invention determines the output frequency of the pump in the cooling system based on the real-time updated current maximum temperature within the control cabinet, and determines the drive signal for controlling the pump in the cooling system to change the flow rate of the coolant in the cooling pipes. This enhances heat dissipation in high-heat areas and reduces energy consumption and noise in low-heat areas, avoiding prolonged high-intensity operation of the pump in the cooling system, and to a certain extent extending the service life of the pump in the cooling system.

[0024] In one embodiment, step 100 includes: Step 101: Obtain the radial height and axial length of M candidate protrusions in the cooling pipes of the cooling system in the control cabinet, and determine M turbulence factors of the M candidate protrusions in the cooling pipes of the cooling system in the control cabinet, where M is a positive integer greater than 1. The radial height refers to the vertical distance from the apex of the protrusion to the base surface of the inner wall of the pipe or channel where it is located; the axial length refers to the horizontal length of the protrusion along the axis of the pipe where it is located (i.e., the direction of the main flow of coolant). Step 102: Determine the average turbulence factor of the protruding structure inside the cooling pipe of the cooling system in the control cabinet based on the M turbulence factors.

[0025] For example, four identical protrusions are periodically installed on the inner wall of the cooling pipes in the cooling system of the control cabinet. There are two types of protrusions: type one has an axial length of 2cm, a radial height of 1cm, and a disturbance weighting coefficient of 0.5; type two has an axial length of 1cm, a radial height of 0.5cm, and a disturbance weighting coefficient of 0.25. The average disturbance factor is {[0.5×(1÷2)]+[0.25×(0.5÷1)]}÷2=0.1875, that is, the average disturbance factor of the protrusions in the cooling pipes of the cooling system in the control cabinet is 0.1875.

[0026] The heat dissipation optimization method for the control cabinet in this embodiment first determines a first temperature threshold and a second temperature threshold by acquiring the historical average temperature of N target locations within the control cabinet and a preset safe temperature increment, thus clarifying the temperature threshold for adjusting the output frequency of the pump in the cooling system of the control cabinet. Second, based on the axial length, radial height, and disturbance weight coefficient of at least two candidate sizes of protrusions within the cooling pipes of the cooling system in the control cabinet, the average turbulence factor of the protrusions in the cooling pipes of the cooling system in the control cabinet is calculated. Third, based on the obtained average turbulence factor, the fundamental frequency of the pump in the cooling system in the control cabinet is determined. Finally, based on the obtained fundamental frequency of the pump in the cooling system in the control cabinet, the output frequency of the pump in the cooling system in the control cabinet is determined, thereby determining the drive signal used to control the pump in the cooling system to change the flow rate of the coolant in the cooling pipes. Compared with the prior art, this invention determines the fundamental frequency and output frequency of the pump in the cooling system in the control cabinet based on the average turbulence factor of the protrusions within the cooling pipes of the cooling system in the control cabinet, thereby changing the flow rate of the coolant, enhancing heat dissipation in high-heat areas, reducing energy consumption and noise in low-heat areas, avoiding prolonged high-intensity operation of the pump in the cooling system, and extending the service life of the pump in the cooling system to a certain extent.

[0027] In one embodiment, step 400 includes: Based on the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure inside the cooling pipes of the cooling system in the control cabinet, the fundamental frequency of the pump in the cooling system of the control cabinet is determined. The fundamental frequency of the pump in the cooling system of the control cabinet satisfies the following constraints: , , In the formula, f base ( t This indicates the fundamental frequency of the pump in the cooling system of the control cabinet; P ( t () represents the total power of the control cabinet; P 额定 This indicates the rated power of the control cabinet; F ref (·) indicates the total power of the control cabinet. P ( t ) and the rated power of the control cabinet P 额定 The mapping function is the independent variable; S This represents the average turbulence factor of the protruding structure within the cooling pipes of the cooling system in the control cabinet; S ref This represents the preset reference structure disturbance factor of the control cabinet; γ This indicates the tuning parameters of the control cabinet; C s ( t ) represents the correction factor used to correct the fundamental frequency of the pump in the cooling system of the control cabinet, which is a dimensionless scaling factor determined by the structural characteristics of the control cabinet.

[0028] The heat dissipation optimization method for the control cabinet in this embodiment determines the fundamental frequency of the pump in the cooling system by acquiring the total power and rated power of the control cabinet, the average turbulence factor of the protruding structure in the cooling pipes of the cooling system, and then determining the output frequency of the pump based on the obtained fundamental frequency. Finally, the drive signal for controlling the pump is determined based on the output frequency to change the flow rate of the coolant in the cooling pipes. Compared with the prior art, this invention dynamically determines the output frequency of the pump in the cooling system based on the total power, rated power, and average turbulence factor of the control cabinet, and determines the drive signal of the pump based on the obtained output frequency to change the flow rate of the coolant in the cooling pipes. This enhances heat dissipation in high-heat areas and reduces energy consumption and noise in low-heat areas, avoiding prolonged high-intensity operation of the pump and extending the service life of the pump to a certain extent.

[0029] In one embodiment, step 500 includes: Step 501: Determine the first output frequency of the pump in the cooling system of the control cabinet based on the current maximum temperature of the N target locations, the first temperature threshold, the base frequency of the pump in the cooling system of the control cabinet, and the first weighting coefficient of the first temperature threshold, wherein the first weighting coefficient of the first temperature threshold is greater than 1.

[0030] The first weighting coefficient refers to the dimensionless weighting coefficient used to adjust the first output frequency based on the fundamental frequency of the pump in the cooling system of the control cabinet. The first output frequency refers to the actual output frequency of the pump in the cooling system of the control cabinet when the maximum current temperature at N target locations within the control cabinet exceeds a first temperature threshold. For example, if the historical average temperature at the N target locations within the control cabinet is 60℃ (meaning the first temperature threshold is 60℃), and the maximum current temperature at the N target locations within the control cabinet is 65℃, and the fundamental frequency of the pump in the cooling system of the control cabinet is 8Hz, then the output frequency of the pump in the cooling system of the control cabinet needs to be increased to improve heat dissipation efficiency. Assuming the first weighting coefficient for the first temperature threshold is 1.5, then the first output frequency of the pump in the cooling system of the control cabinet is 8 × 1.5 = 12 Hz, meaning the first output frequency of the pump in the cooling system of the control cabinet is 12 Hz.

[0031] The heat dissipation method for the control cabinet in this embodiment refines the relationship between the current maximum temperature at N target locations and a first temperature threshold. Simultaneously, based on the fundamental frequency of the pump in the cooling system within the control cabinet, the output frequency of the pump is determined. When the current maximum temperature at the N target locations within the control cabinet exceeds the first temperature threshold, the output frequency of the pump in the cooling system needs to be increased to achieve rapid heat dissipation. Compared to existing technologies, this invention accurately controls the pump's output frequency through temperature feedback, thereby controlling the pump's drive signal in the cooling system. This increases the flow rate of the coolant in the cooling pipes, enhances heat dissipation from high-heat areas, and extends the service life of the pump in the cooling system within the control cabinet to a certain extent.

[0032] In Embodiment 5, step 500 further includes: Step 502: Determine the second output frequency of the pump in the cooling system of the control cabinet based on the current maximum temperature of the N target locations, the second temperature threshold, the base frequency of the pump in the cooling system of the control cabinet, and the second weighting coefficient of the second temperature threshold, wherein the second weighting coefficient of the second temperature threshold is less than 1.

[0033] The second weighting coefficient refers to the dimensionless weighting coefficient used to adjust the second output frequency based on the fundamental frequency of the pump in the cooling system of the control cabinet. The second output frequency refers to the actual output frequency of the pump in the cooling system of the control cabinet when the maximum current temperature at N target locations within the control cabinet is less than or equal to the second temperature threshold. For example, if the historical average temperature at the N target locations within the control cabinet is 60℃, and the preset safe temperature increment is -5℃ (i.e., the second temperature threshold is 55℃), the maximum current temperature at the N target locations within the control cabinet is 45℃, and the fundamental frequency of the pump in the cooling system of the control cabinet is 8Hz, then the output frequency of the pump in the cooling system of the control cabinet needs to be reduced to achieve energy saving and noise reduction. Assuming the second weighting coefficient is 0.8, the second output frequency of the pump in the cooling system of the control cabinet is 8 × 0.8 = 6.4 Hz, meaning the first output frequency of the pump in the cooling system of the control cabinet is 6.4 Hz.

[0034] The heat dissipation method for the control cabinet in this embodiment refines the relationship between the current maximum temperature at N target locations and a second temperature threshold. Simultaneously, based on the fundamental frequency of the pump in the cooling system within the control cabinet, the output frequency of the pump is determined. When the current maximum temperature at the N target locations within the control cabinet is less than or equal to the second temperature threshold, the output frequency of the pump in the cooling system needs to be reduced to achieve energy saving and noise reduction. Compared to existing technologies, this invention accurately controls the pump's output frequency through temperature feedback and reduces the flow rate of the coolant in the cooling pipes by controlling the pump's drive signal, thereby reducing energy consumption and noise in low-heat areas and extending the service life of the pump in the cooling system within the control cabinet to a certain extent.

[0035] In Embodiment Six, step 500 further includes: Step 503: Based on the maximum current temperature of the N target locations, the first temperature threshold, the second temperature threshold, the base frequency of the pump in the cooling system of the control cabinet, and the proportional integral and differential calculation results of the deviation between the average historical temperature of the N target locations and the maximum current temperature of the N target locations, determine the third output frequency of the pump in the cooling system of the control cabinet. The third output frequency of the pump in the cooling system of the control cabinet satisfies the following constraints: , , , In the formula, f out This indicates the third output frequency of the pump in the cooling system of the control cabinet; f base ( t This indicates the fundamental frequency of the pump in the cooling system of the control cabinet; T0 represents the first temperature threshold, which is the average of the historical temperatures of the N target locations; T max This represents the maximum current temperature at the N target locations; e ( t ) represents the deviation value, which is the difference between the average historical temperature of the N target locations and the current maximum temperature of the N target locations; PID(·) represents the proportional-integral-differential function of the deviation value; K p This represents the proportional gain coefficient of the proportional-integral-differential function; K i This represents the integral gain coefficient of the proportional-integral-differential function; K d This represents the differential gain coefficient of the proportional-integral-differential function; t This indicates the operating time of the control cabinet; d e ( t ) / d t This represents the rate of change of the deviation value.

[0036] The deviation value refers to the difference between the average historical temperature of the N target locations within the control cabinet and the current maximum temperature of the N target locations within the control cabinet; the proportional-integral-derivative (PID) calculation result refers to the fusion calculation result of the proportional, integral, and derivative of the deviation value; the third output frequency refers to the actual output frequency of the pump in the cooling system of the control cabinet when the current maximum temperature of the N target locations within the control cabinet is greater than but less than the second temperature threshold. For example, after the control cabinet has been running for 2 seconds, the proportional gain coefficient, integral gain coefficient, and derivative gain coefficient of the PID function are 0.4, 0.3, and 0.3, respectively. The average historical temperature of the 5 target locations within the control cabinet is 60℃, and the preset safe temperature increment is -5℃. That is, when the first temperature threshold is 60℃ and the second temperature threshold is 55℃, the current maximum temperature of the 5 target locations within the control cabinet is 58℃, and the fundamental frequency of the pump in the cooling system of the control cabinet is 8Hz. At this time, the deviation value is 2℃ (assuming that the deviation value has been constant over the past 2 seconds, i.e., the rate of change of the deviation value is 0). The third output frequency of the pump in the cooling system of the control cabinet can be obtained as follows: That is, the third output frequency of the pump in the cooling system of the control cabinet is 10Hz.

[0037] The heat dissipation method for the control cabinet in this embodiment refines the relationship between the current maximum temperature at N target locations and the first and second temperature thresholds. Simultaneously, based on the fundamental frequency of the pump in the cooling system within the control cabinet, the output frequency of the pump is determined. When the current maximum temperature at the N target locations is greater than the second temperature threshold but less than or equal to the first temperature threshold, the output frequency of the pump in the cooling system is dynamically adjusted based on the proportional-integral-differential calculation result of the deviation between the average historical temperature of the N target locations and the current maximum temperature at the N target locations. Compared to existing technologies, this invention accurately controls the pump's output frequency through temperature feedback, thereby controlling the pump's drive signal and altering the coolant flow rate within the cooling pipes. This achieves on-demand cooling, enhances heat dissipation in high-heat areas, reduces energy consumption and noise in low-heat areas, and extends the service life of the pump in the cooling system within the control cabinet to a certain extent.

[0038] In one embodiment, a heat dissipation optimization device 40 for a control cabinet is provided; please refer to [reference needed]. Figure 3 ,include: The data acquisition module 410 is used to acquire the historical temperature of N target locations in the control cabinet, the current maximum temperature of the N target locations in the control cabinet, the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet. The first temperature threshold determination module 420 is used to determine a first temperature threshold based on the average historical temperature of N target locations. The second temperature threshold determination module 430 is used to determine a second temperature threshold based on the average historical temperature of N target locations and a preset safe temperature increment, wherein the second temperature threshold is less than the first temperature threshold. The fundamental frequency determination module 440 is used to determine the fundamental frequency of the pump in the cooling system of the control cabinet based on the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet. The output frequency determination module 450 is used to determine the output frequency of the pump of the cooling system in the control cabinet based on the current maximum temperature of N target locations, the first temperature threshold, the second temperature threshold, the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet, and the fundamental frequency of the pump of the cooling system in the control cabinet. The drive signal output module 460 is used to determine the drive signal for controlling the pump of the cooling system based on the output frequency of the pump of the cooling system in the control cabinet.

[0039] Optionally, the data acquisition module 410 mentioned above includes: The turbulence factor calculation submodule is used to obtain the radial height and axial length of M candidate protrusions in the cooling pipes of the cooling system in the control cabinet, and to determine the M turbulence factors of the M candidate protrusions in the cooling pipes of the cooling system in the control cabinet. The average turbulence factor calculation submodule is used to determine the average turbulence factor of the protruding structure inside the cooling pipe of the cooling system in the control cabinet based on the M turbulence factors.

[0040] Optionally, the aforementioned base frequency determination module 440 includes: The fundamental frequency of the pump in the cooling system of the control cabinet is determined based on the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure inside the cooling pipe of the cooling system in the control cabinet. The fundamental frequency of the pump in the cooling system of the control cabinet satisfies the following constraints: , , In the formula, f base ( t This indicates the fundamental frequency of the pump in the cooling system of the control cabinet; P ( t () represents the total power of the control cabinet; P 额定 This indicates the rated power of the control cabinet; F ref (·) indicates the total power of the control cabinet. P ( t ) and the rated power of the control cabinet P 额定 The mapping function is the independent variable; S This represents the average turbulence factor of the protruding structure within the cooling pipes of the cooling system in the control cabinet; S ref This represents the preset reference structure disturbance factor of the control cabinet; γ This indicates the tuning parameters of the control cabinet; C s ( t ) represents the correction factor used to correct the fundamental frequency of the pump in the cooling system of the control cabinet, which is a dimensionless scaling factor determined by the structural characteristics of the control cabinet.

[0041] Optionally, the above-mentioned output frequency determination module 450 includes: The first output frequency calculation submodule is used to determine the first output frequency of the pump of the cooling system in the control cabinet based on the current maximum temperature of N target locations, the first temperature threshold, the base frequency of the pump of the cooling system in the control cabinet, and the first weighting coefficient of the first temperature threshold, wherein the first weighting coefficient of the first temperature threshold is greater than 1. The second output frequency calculation submodule is used to determine the second output frequency of the pump of the cooling system in the control cabinet based on the current maximum temperature of N target locations, the second temperature threshold, the base frequency of the pump of the cooling system in the control cabinet, and the second weighting coefficient of the second temperature threshold, wherein the second weighting coefficient of the second temperature threshold is less than 1. The third output frequency calculation submodule is used to determine the third output frequency of the pump in the cooling system of the control cabinet based on the current maximum temperature of N target locations, the first temperature threshold, the second temperature threshold, the base frequency of the pump in the cooling system of the control cabinet, and the proportional integral and differential calculation results of the deviation between the average historical temperature of the N target locations and the current maximum temperature of the N target locations. The third output frequency of the pump in the cooling system of the control cabinet satisfies the following constraints: , , , In the formula, f out This indicates the third output frequency of the pump in the cooling system of the control cabinet; f base ( t This indicates the fundamental frequency of the pump in the cooling system of the control cabinet; T 0 represents the first temperature threshold, which is the average of the historical temperatures of the N target locations; T max This represents the maximum current temperature at the N target locations; e ( t ) represents the deviation value, which is the difference between the average of the historical temperatures of the N target locations and the maximum current temperature of the N target locations; PID(·) represents the proportional-integral-differential function of the deviation value; K p This represents the proportional gain coefficient of the proportional-integral-differential function; K i This represents the integral gain coefficient of the proportional-integral-differential function; K d This represents the differential gain coefficient of the proportional-integral-differential function; t This indicates the operating time of the control cabinet; de ( t ) / d t This represents the rate of change of the deviation value.

[0042] It should be noted that the information interaction and execution process between the above modules are based on the same concept as the method embodiments of the present invention. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0043] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0044] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When executed by a processor, the computer program implements a heat dissipation optimization method for a control cabinet as described in the above embodiment, for example... Figure 2 Steps 100 to 600 shown are not repeated here to avoid repetition.

[0045] In one embodiment, a computer device is provided, such as Figure 4 As shown, it includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements a heat dissipation optimization method for a control cabinet as described in the above embodiments, for example... Figure 2 Steps 100 to 600 shown are not repeated here to avoid repetition.

[0046] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0047] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0048] While specific embodiments of the invention have been described in detail by way of example, those skilled in the art should understand that the examples are for illustrative purposes only and not intended to limit the scope of the invention. Those skilled in the art should also understand that various modifications can be made to the embodiments without departing from the scope and spirit of the invention. The scope of this invention is defined by the appended claims.

Claims

1. A method for optimizing heat dissipation in a control cabinet, characterized in that, The heat dissipation optimization method for the control cabinet includes: Step 100: Obtain the historical temperature of N target locations in the control cabinet, the current maximum temperature of the N target locations in the control cabinet, the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet, where N is a positive integer greater than 1. Step 200: Determine a first temperature threshold based on the average historical temperature of the N target locations; Step 300: Determine a second temperature threshold based on the average historical temperature of N target locations and a preset safe temperature increment, wherein the second temperature threshold is less than the first temperature threshold. Step 400: Determine the fundamental frequency of the pump in the cooling system of the control cabinet based on the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet. Step 500: Determine the output frequency of the pump of the cooling system in the control cabinet based on the current maximum temperature of the N target locations, the first temperature threshold, the second temperature threshold, the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet, and the fundamental frequency of the pump of the cooling system in the control cabinet. Step 600: Determine the drive signal for controlling the pump of the cooling system based on the output frequency of the pump of the cooling system in the control cabinet.

2. The heat dissipation optimization method for the control cabinet according to claim 1, characterized in that, Step 100 includes: Step 101: Obtain the radial height and axial length of M candidate protrusions in the cooling pipes of the cooling system in the control cabinet, and determine M turbulence factors of the M candidate protrusions in the cooling pipes of the cooling system in the control cabinet, where M is a positive integer greater than 1. Step 102: Determine the average turbulence factor of the protruding structure inside the cooling pipe of the cooling system in the control cabinet based on the M turbulence factors.

3. The heat dissipation optimization method for the control cabinet according to claim 1, characterized in that, Step 400 includes: Based on the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure inside the cooling pipes of the cooling system in the control cabinet, the fundamental frequency of the pump in the cooling system of the control cabinet is determined. The fundamental frequency of the pump in the cooling system of the control cabinet satisfies the following constraints: ， ， In the formula, f base ( t This indicates the fundamental frequency of the pump in the cooling system of the control cabinet; P ( t () represents the total power of the control cabinet; P 额定 This indicates the rated power of the control cabinet; F ref (·) indicates the total power of the control cabinet. P ( t ) and the rated power of the control cabinet P 额定 The mapping function is the independent variable; S This represents the average turbulence factor of the protruding structure within the cooling pipes of the cooling system in the control cabinet; S ref This represents the preset reference structure disturbance factor of the control cabinet; γ This indicates the tuning parameters of the control cabinet; C s ( t ) represents the correction factor used to correct the fundamental frequency of the pump in the cooling system of the control cabinet, which is a dimensionless scaling factor determined by the structural characteristics of the control cabinet.

4. The heat dissipation optimization method for the control cabinet according to claim 1, characterized in that, Step 500 includes: Step 501: Determine the first output frequency of the pump in the cooling system of the control cabinet based on the current maximum temperature of the N target locations, the first temperature threshold, the base frequency of the pump in the cooling system of the control cabinet, and the first weighting coefficient of the first temperature threshold, wherein the first weighting coefficient of the first temperature threshold is greater than 1.

5. The heat dissipation optimization method for the control cabinet according to claim 1, characterized in that, Step 500 also includes: Step 502: Determine the second output frequency of the pump in the cooling system of the control cabinet based on the current maximum temperature of the N target locations, the second temperature threshold, the base frequency of the pump in the cooling system of the control cabinet, and the second weighting coefficient of the second temperature threshold, wherein the second weighting coefficient of the second temperature threshold is less than 1.

6. The heat dissipation optimization method for the control cabinet according to claim 1, characterized in that, Step 500 also includes: Step 503: Based on the maximum current temperature of the N target locations, the first temperature threshold, the second temperature threshold, the base frequency of the pump in the cooling system of the control cabinet, and the proportional integral and differential calculation results of the deviation between the average historical temperature of the N target locations and the maximum current temperature of the N target locations, determine the third output frequency of the pump in the cooling system of the control cabinet. The third output frequency of the pump in the cooling system of the control cabinet satisfies the following constraints: ， ， ， In the formula, f out This indicates the third output frequency of the pump in the cooling system of the control cabinet; f base ( t This indicates the fundamental frequency of the pump in the cooling system of the control cabinet; T 0 represents the first temperature threshold, which is the average of the historical temperatures of the N target locations; T max This represents the maximum current temperature at the N target locations; e ( t ) represents the deviation value, which is the difference between the average of the historical temperatures of the N target locations and the maximum current temperature of the N target locations; PID(·) represents the proportional-integral-differential function of the deviation value; K p This represents the proportional gain coefficient of the proportional-integral-differential function; K i This represents the integral gain coefficient of the proportional-integral-differential function; K d This represents the differential gain coefficient of the proportional-integral-differential function; t This indicates the operating time of the control cabinet; d e ( t ) / d t This represents the rate of change of the deviation value.

7. A heat dissipation optimization device for a control cabinet, characterized in that, The heat dissipation optimization device includes: The data acquisition module is used to acquire the historical temperature of N target locations in the control cabinet, the current maximum temperature of the N target locations, the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet. The first temperature threshold determination module is used to determine the first temperature threshold based on the average historical temperature of N target locations; The second temperature threshold determination module is used to determine a second temperature threshold based on the average historical temperature of N target locations and a preset safe temperature increment, wherein the second temperature threshold is less than the first temperature threshold. The fundamental frequency determination module is used to determine the fundamental frequency of the pump in the cooling system of the control cabinet based on the total power of the control cabinet, the rated power of the control cabinet, and the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet. The output frequency determination module is used to determine the output frequency of the pump of the cooling system in the control cabinet based on the current maximum temperature of N target locations, the first temperature threshold, the second temperature threshold, the average turbulence factor of the protruding structure in the cooling pipe of the cooling system in the control cabinet, and the fundamental frequency of the pump of the cooling system in the control cabinet. The drive signal output module is used to determine the drive signal for controlling the pump of the cooling system based on the output frequency of the pump of the cooling system in the control cabinet.

8. The heat dissipation optimization device for the control cabinet according to claim 7, characterized in that, The output frequency determination module includes: The turbulence factor calculation submodule is used to obtain the radial height and axial length of M candidate protrusions in the cooling pipes of the cooling system in the control cabinet, and to determine the M turbulence factors of the M candidate protrusions in the cooling pipes of the cooling system in the control cabinet. The average turbulence factor calculation submodule is used to determine the average turbulence factor of the protruding structure inside the cooling pipe of the cooling system in the control cabinet based on the M turbulence factors.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the heat dissipation optimization method for the control cabinet according to any one of claims 1 to 6.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the heat dissipation optimization method for the control cabinet according to any one of claims 1 to 6.

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