Condensation optimization method and system for gravity assisted heat pipe

Abstract

The invention discloses a condensation optimization method and system for a gravity assisted heat pipe. The condensation optimization method comprises the steps that input temperature data of a point heat source is obtained to construct a temperature change curve; dividing the temperature change curve into two stages, and determining temperature change characteristics in the temperature change curve; evaluating the input temperature change condition of the heat source based on the temperature change characteristics in each stage to obtain an input temperature change evaluation value; setting an initial condensation condition of a condensing device according to the input temperature evaluation value, acquiring flow data of a gaseous working medium in the gravity assisted heat pipe at each preset time acquisition node, and analyzing the flow data to determine flow characteristics of the gaseous working medium; and determining an optimization adjustment coefficient based on the flow characteristics of the gaseous working medium, and optimizing the initial condensation condition according to the optimization adjustment coefficient. The optimization adjustment coefficient is determined based on the flow characteristics of the gaseous working medium, the working parameters of the condensing device can be further optimized, the operation efficiency and condensing performance of the gravity assisted heat pipe system are improved, energy conservation and emission reduction are achieved, the operation cost is reduced, and meanwhile stability and reliability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of gravity heat pipes, and particularly to a method and system for optimizing the condensation of gravity heat pipes. Background Art

[0002] A gravity heat pipe is a heat transfer device, usually used to transfer heat and control temperature. It consists of a sealed metal tube filled with a working fluid, usually a liquid-gas two-phase mixture. The gravity heat pipe utilizes the heat conduction principle of liquid-gas two-phase flow and circulates under the action of gravity to transfer heat from the heat source end to the cooling end, realizing heat transfer and temperature regulation. The working principle of the gravity heat pipe is based on the cyclic movement of liquid-gas two-phase fluid in the pipe. When the heat source end is heated, the working fluid vaporizes inside the heat pipe to form a gas, and the gaseous fluid moves towards the cooling end, releases heat and condenses into a liquid, and then returns to the heat source end by gravity to complete the cycle. This cyclic process realizes the transfer of heat and the regulation of temperature, making the gravity heat pipe an efficient and reliable thermal management technology. And in the heat pipe system, condensation is a crucial process, which involves transferring the heat in the heat pipe to the cooling medium and releasing it.

[0003] However, the traditional gravity heat pipe condensation method has the problem of high energy consumption. For example, the flow rate of the cooling medium is too large or too small, resulting in waste of energy or poor system operation efficiency, increasing the operating cost of the system and reducing the energy utilization efficiency. Moreover, the traditional gravity heat pipe condensation method does not fully consider the flow characteristics of the gaseous working medium in the heat pipe, lacking in-depth analysis and optimization of the fluid dynamic behavior, which will lead to problems such as fluid instability and large pressure loss during the operation of the system. And the traditional condensation method has poor system stability, such as large temperature fluctuations and unstable operation of the heat pipe, affecting the long-term stable operation and reliability of the system. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides a method and system for optimizing the condensation of gravity heat pipes, including: Obtain the input temperature data of the heat source at each preset time acquisition node, and construct a temperature change curve based on the input temperature data; Divide the temperature change curve into two temperature change stages, and determine the temperature change characteristics within each temperature change stage; Evaluate the input temperature change situation of the heat source based on the temperature change characteristics within each temperature change stage to obtain an input temperature change evaluation value of the heat source; Set the initial condensation conditions of the condensation device according to the input temperature evaluation value of the heat source, and the initial condensation conditions include condensation temperature and cooling medium flow rate; Obtain the flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node, and analyze the flow data of the gaseous working medium to determine the flow characteristics of the gaseous working medium; Determine the optimization adjustment coefficient based on the flow characteristics of the gaseous working medium, and optimize the initial condensation conditions according to the optimization adjustment coefficient.

[0005] Further, dividing the temperature change curve into two temperature change stages, and determining the temperature change characteristics within each temperature change stage, including: Obtain the temperature change curve, calculate the average temperature change of the temperature change curve, and divide the temperature change curve into several temperature change curve segments according to the average temperature change; Regard the temperature change curve segments above the average temperature change as the first temperature change stage, and regard the temperature change curve segments below the average temperature change as the second temperature change stage; Determine the maximum value and average value of each temperature change curve segment in the first temperature change stage, and determine the minimum value and average value of each temperature change curve segment in the second temperature change stage; Determine the maximum value and average value of each temperature change curve segment in the first temperature change stage and the minimum value and average value of each temperature change curve segment in the second temperature change stage as the temperature change characteristics within the temperature change stage.

[0006] Further, evaluating the input temperature change situation of the heat source based on the temperature change characteristics within each temperature change stage to obtain the input temperature change evaluation value of the heat source, including: Obtain the maximum value and average value of each temperature change curve segment in the first temperature change stage and the minimum value and average value of each temperature change curve segment in the second temperature change stage; Respectively evaluate and obtain values for the maximum value and average value of each temperature change curve segment in the first temperature change stage, and respectively obtain the maximum evaluation value and average evaluation value of each temperature change curve segment; Multiply the maximum evaluation value and average evaluation value of each temperature change curve segment to calculate the comprehensive evaluation value of each temperature change curve segment, and add up the comprehensive evaluation values of each temperature change curve segment to calculate the first temperature evaluation value of the first temperature change stage; Respectively evaluate and obtain values for the minimum value and average value of each temperature change curve segment in the second temperature change stage, and respectively obtain the minimum evaluation value and average evaluation value of each temperature change curve segment; Multiply the minimum evaluation value and average evaluation value of each temperature change curve segment to calculate the comprehensive evaluation value of each temperature change curve segment, and add up the comprehensive evaluation values of each temperature change curve segment to calculate the second temperature evaluation value of the second temperature change stage; Determine the time length of the first temperature change stage, and calculate the ratio of the time length of the first temperature change stage to the time length of the temperature change curve to obtain a first ratio; The time length of the second temperature change stage, and calculate the ratio of the time length of the second temperature change stage to the time length of the temperature change curve to obtain a second ratio; Use the first ratio as the weight of the first temperature change stage, and use the second ratio as the weight of the second temperature change stage; Perform weighted addition calculation on the first temperature evaluation value of the first temperature change stage and the second temperature evaluation value of the second temperature change stage with the corresponding weights to obtain the input temperature change evaluation value of the heat source.

[0007] Further, setting the initial condensation conditions of the condensation device according to the input temperature evaluation value of the heat source, the initial condensation conditions include the condensation temperature and the flow rate of the cooling medium, including: Obtain the input temperature evaluation value △L of the heat source and the preset input temperature evaluation preset value L0, and determine the preset difference L1, preset difference L2, third preset difference L3 and fourth preset difference L4, and L1 < L2 < L3 < L4; There are preset condensation conditions A1(a1, b1), preset condensation conditions A2(a2, b2), third preset condensation conditions A3(a3, b3) and fourth preset condensation conditions A4(a4, b4) preset, where a1 - a4 are the fourth preset condensation temperatures in sequence, and a1 < a2 < a3 < a4, b1 - b4 are the fourth preset cooling medium flow rates in sequence, b1 < b2 < b3 < b4; According to the difference between the crushing characteristic value △L and the preset input temperature evaluation preset value L0, select the preset condensation condition Ai as the initial condensation condition of the condensation device; When △L - L0 ≤ L1, select the preset condensation condition A1 as the initial condensation condition of the condensation device; When L1 < △L - L0 ≤ L2, select the preset condensation condition A2 as the initial condensation condition of the condensation device; When L2 < △L - L0 ≤ L3, select the third preset condensation condition A3 as the initial condensation condition of the condensation device; When L3 < △L - L0 ≤ L4, select the fourth preset condensation condition A4 as the initial condensation condition of the condensation device; Control the condensation device to operate according to the selected preset condensation condition Ai(ai, bi) as the initial condensation condition of the condensation device.

[0008] Further, obtaining the flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node, and analyzing the flow data of the gaseous working medium to determine the flow characteristics of the gaseous working medium, including: Obtain the flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node, and determine the flow rate data and flow velocity data in the flow data; Calculate the average value of the flow rate data to obtain the average flow rate value, and calculate the average value of the flow velocity data to obtain the average flow velocity value; Determine the average flow rate value and the average flow velocity value as the flow characteristics of the gaseous working medium.

[0009] Furthermore, determining an optimization adjustment coefficient based on the flow characteristics of the gaseous working medium and optimizing the initial condensation conditions according to the optimization adjustment coefficient includes: Obtain the average flow rate value and the average flow velocity value of the gaseous working medium, determine the flow characteristic coefficient according to the average flow rate value and the average flow velocity value, and determine the optimization adjustment coefficient according to the flow characteristic coefficient; Preset the corresponding relationship between the optimization adjustment coefficient - flow characteristic coefficient interval, wherein for each flow characteristic coefficient interval of the corresponding relationship between the optimization adjustment coefficient - flow characteristic coefficient interval, there is an associated corresponding optimization adjustment coefficient; Obtain the flow characteristic coefficient, and based on the mapping relationship of the flow characteristic coefficient interval to which the flow characteristic coefficient belongs in the corresponding relationship between the optimization adjustment coefficient - flow characteristic coefficient interval, select the optimization adjustment coefficient corresponding to the flow characteristic coefficient interval as the corresponding optimization adjustment coefficient; Obtain the optimization adjustment coefficient mi, and optimize the initial condensation condition Ai(ai, bi) of the condensation device according to the optimization adjustment coefficient mi to obtain Ai(ai * mi, bi * mi).

[0010] Furthermore, determining the flow characteristic coefficient according to the average flow rate value and the average flow velocity value includes: Calculate the flow characteristic coefficient according to the average flow rate value and the average flow velocity value, and the calculation formula of the flow characteristic coefficient is: S = α * exp(P1 / Pi) + β * exp(P2 / Pj), where S is the flow characteristic coefficient, exp is the natural exponential function, α is the first preset weight, P1 is the average flow rate value, Pi is the preset standard average flow rate value, β is the second preset weight, P2 is the average flow velocity value, and Pj is the preset standard average flow velocity value.

[0011] The present invention also provides a condensation optimization system for a gravity heat pipe, including: An acquisition module, configured to acquire the input temperature data of the heat source at each preset time acquisition node, and construct a temperature change curve according to the input temperature data; A division module, configured to divide the temperature change curve into two temperature change stages, and determine the temperature change characteristics within each temperature change stage; An evaluation module for evaluating the input temperature change of a heat source based on the temperature change characteristics within each temperature change stage to obtain an evaluation value of the input temperature change of the heat source; A setting module for setting the initial condensation conditions of the condensation device according to the evaluation value of the input temperature of the heat source, where the initial condensation conditions include the condensation temperature and the flow rate of the cooling medium; A determination module for acquiring the flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node and analyzing the flow data of the gaseous working medium to determine the flow characteristics of the gaseous working medium; An optimization module for determining an optimization adjustment coefficient based on the flow characteristics of the gaseous working medium and optimizing the initial condensation conditions according to the optimization adjustment coefficient.

[0012] Compared with the prior art, the condensation optimization method and system of a gravity heat pipe according to an embodiment of the present invention have the following beneficial effects: By collecting and analyzing the input temperature data of the heat source and constructing a temperature change curve, the present invention can comprehensively evaluate the temperature change of the heat source, understand the working state and performance of the heat source, and provide an important reference for the operation and optimization of the condensation device; According to the evaluation value of the input temperature change of the heat source, the present invention sets the initial condensation conditions of the condensation device, including the condensation temperature and the flow rate of the cooling medium. The optimized initial condensation conditions can initially improve the condensation efficiency, ensure the normal operation of the condensation device, and improve the energy utilization efficiency; By acquiring and analyzing the flow data of the gaseous working medium in the gravity heat pipe, the present invention can deeply understand the flow characteristics of the gaseous working medium, and based on the flow characteristics of the gaseous working medium, determine the optimization adjustment coefficient, which can further optimize the working parameters of the system, contribute to improving the thermal management performance, energy conservation and emission reduction, and reducing the operation cost of the system. Brief Description of the Drawings

[0013] Figure 1 is a schematic flow structure diagram of the condensation optimization method of the gravity heat pipe in an embodiment of the present invention; Figure 2 is a schematic composition diagram of the condensation optimization system of the gravity heat pipe in an embodiment of the present invention. Detailed Description of the Embodiment

[0014] The following further describes in detail the specific embodiments of the present application in conjunction with the drawings and embodiments. The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0015] In the description of the present application, it should be understood that the orientation or positional relationship indicated by terms such as "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present application.

[0016] The terms "first", "second" are only used for descriptive purposes and cannot be construed as indicating or implying a relative importance coefficient or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0017] In the description of the present application, it should be noted that unless otherwise clearly specified and limited, the terms "mounted", "connected", "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0018] As Figure 1 shown, in an embodiment of the present application, a method for optimizing the condensation of a gravity heat pipe is provided, including: S100: Obtain the input temperature data of the heat source at each preset time acquisition node, and construct a temperature change curve based on the input temperature data; S200: Divide the temperature change curve into two temperature change stages, and determine the temperature change characteristics within each temperature change stage; S300: Evaluate the input temperature change situation of the heat source based on the temperature change characteristics within each temperature change stage to obtain an input temperature change evaluation value of the heat source; S400: Set the initial condensation conditions of the condensation device according to the input temperature evaluation value of the heat source, and the initial condensation conditions include the condensation temperature and the flow rate of the cooling medium; S500: Obtain the flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node, and analyze the flow data of the gaseous working medium to determine the flow characteristics of the gaseous working medium; S600: Determine an optimization adjustment coefficient based on the flow characteristics of the gaseous working medium, and optimize the initial condensation conditions according to the optimization adjustment coefficient.

[0019] Furthermore, the present invention can comprehensively evaluate the temperature change of the heat source by collecting and analyzing the input temperature data of the heat source and constructing a temperature change curve, understand the working state and performance of the heat source, and provide an important reference for the operation and optimization of the condensation device; according to the evaluation value of the heat source input temperature change, the present invention sets the initial condensation conditions of the condensation device, including the condensation temperature and the flow rate of the cooling medium, and the optimized initial condensation conditions can initially improve the condensation efficiency, ensure the normal operation of the condensation device and improve the energy utilization efficiency; by obtaining and analyzing the flow data of the gaseous working medium in the gravity heat pipe, the present invention can deeply understand the flow characteristics of the gaseous working medium, and based on the flow characteristics of the gaseous working medium, determine the optimized adjustment coefficient, which can further optimize the working parameters of the system, contribute to improving the thermal management performance, energy conservation and emission reduction, and reducing the operation cost of the system.

[0020] In an embodiment of the present application, a condensation optimization method for a gravity heat pipe is provided. The temperature change curve is divided into two temperature change stages, and the temperature change characteristics in each temperature change stage are determined, including: obtaining the temperature change curve, calculating the average temperature change of the temperature change curve, and dividing the temperature change curve into several temperature change curve segments according to the average temperature change; taking the temperature change curve segments above the average temperature change as the first temperature change stage, and taking the temperature change curve segments below the average temperature change as the second temperature change stage; determining the maximum value and the average value of each temperature change curve segment in the first temperature change stage, and determining the minimum value and the average value of each temperature change curve segment in the second temperature change stage; determining the maximum value and the average value of each temperature change curve segment in the first temperature change stage and the minimum value and the average value of each temperature change curve segment in the second temperature change stage as the temperature change characteristics in the temperature change stage.

[0021] Specifically, obtain the temperature change data of each preset time acquisition node, and then plot the curve of temperature change over time; sum up all the data points of the temperature change curve and divide by the number of data points to obtain the average value of the temperature change curve; according to the average value of the temperature change curve, divide the entire curve into several segments, where the part above the average value is divided into the first temperature change stage, and the part below the average value is divided into the second temperature change stage; within the first and second temperature change stages, determine the maximum value and the average value (for the first stage), and the minimum value and the average value (for the second stage) of each temperature change curve segment respectively. These features reflect the overall trend and fluctuation of the system temperature change. By analyzing the features of the temperature change curve in this step, we can understand the temperature change law and characteristics of the system more deeply, providing an important basis for system performance evaluation and optimization; dividing the temperature change curve into different stages and extracting the temperature change features within each stage helps to identify the temperature change situation in different stages during system operation, providing guidance for problem location and solution; by analyzing the features of the temperature change curve, we can evaluate the stability and temperature control performance of the system, timely discover problems and take corresponding measures for adjustment and optimization.

[0022] In an embodiment of the present application, a method for optimizing the condensation of a gravity heat pipe is provided. The input temperature change of the heat source is evaluated based on the temperature change characteristics in each temperature change stage to obtain an evaluation value of the input temperature change of the heat source, including: obtaining the maximum value and average value of each temperature change curve segment in the first temperature change stage and the minimum value and average value of each temperature change curve segment in the second temperature change stage; respectively evaluating and taking values for the maximum value and average value of each temperature change curve segment in the first temperature change stage to obtain the maximum evaluation value and average evaluation value of each temperature change curve segment; multiplying the maximum evaluation value and average evaluation value of each temperature change curve segment to obtain the comprehensive evaluation value of each temperature change curve segment, and adding up the comprehensive evaluation values of each temperature change curve segment to obtain the first temperature evaluation value of the first temperature change stage; respectively evaluating and taking values for the minimum value and average value of each temperature change curve segment in the second temperature change stage to obtain the minimum evaluation value and average evaluation value of each temperature change curve segment; multiplying the minimum evaluation value and average evaluation value of each temperature change curve segment to obtain the comprehensive evaluation value of each temperature change curve segment, and adding up the comprehensive evaluation values of each temperature change curve segment to obtain the second temperature evaluation value of the second temperature change stage; determining the time length of the first temperature change stage, and calculating the ratio of the time length of the first temperature change stage to the time length of the temperature change curve to obtain the first ratio; determining the time length of the second temperature change stage, and calculating the ratio of the time length of the second temperature change stage to the time length of the temperature change curve to obtain the second ratio; using the first ratio as the weight of the first temperature change stage and the second ratio as the weight of the second temperature change stage; and performing weighted addition calculation on the first temperature evaluation value of the first temperature change stage and the second temperature evaluation value of the second temperature change stage with the corresponding weights to obtain the evaluation value of the input temperature change of the heat source.

[0023] Specifically, according to the aforementioned steps, the temperature change curve is divided into the first and second temperature change stages, and then the maximum value and average value of each temperature change curve segment in the first stage, as well as the minimum value and average value of each temperature change curve segment in the second stage, are calculated; the maximum value and average value of each temperature change curve segment in the first stage are evaluated to obtain the maximum evaluation value and average evaluation value of each segment, and then they are multiplied to obtain the comprehensive evaluation value; similarly, the minimum value and average value of each temperature change curve segment in the second stage are evaluated to obtain the minimum evaluation value and average evaluation value of each segment, and then they are multiplied to obtain the comprehensive evaluation value; the time lengths of the first and second temperature change stages are determined, and the ratios of them to the time length of the entire temperature change curve are calculated to obtain the first ratio and the second ratio, and these two ratios are used as the weights of each stage; finally, the comprehensive evaluation value of the first stage is multiplied by the first ratio as the weight, the comprehensive evaluation value of the second stage is multiplied by the second ratio as the weight, and then the two weighted values are added to obtain the evaluation value of the heat source input temperature change. This step obtains the comprehensive evaluation value of the heat source input temperature change through the evaluation and weighted calculation of the temperature change characteristics of each stage, which more comprehensively reflects the situation of the system temperature change; the weights are determined according to the ratios of the time lengths of each stage to the total time length, making the evaluation value more accurately reflect the importance of different stages of the system and improving the reliability of the evaluation; by analyzing the evaluation value of the heat source input temperature change, the situation of the heat source input temperature change of the system can be evaluated, providing an important reference basis for system performance optimization and problem troubleshooting.

[0024] In an embodiment of the present application, a method for optimizing condensation of a gravity heat pipe is provided. The initial condensation conditions of a condensation device are set according to an estimated value of the input temperature of a heat source. The initial condensation conditions include a condensation temperature and a flow rate of a cooling medium, and the method includes: obtaining an estimated value ΔL of the input temperature of the heat source and a preset estimated value L0 of the input temperature, and determining preset differences L1, L2, a third preset difference L3, and a fourth preset difference L4, where L1 < L2 < L3 < L4; presetting preset condensation conditions A1(a1, b1), preset condensation conditions A2(a2, b2), third preset condensation conditions A3(a3, b3), and fourth preset condensation conditions A4(a4, b4), where a1 - a4 are the first to fourth preset condensation temperatures in sequence, and a1 < a2 < a3 < a4, and b1 - b4 are the first to fourth preset flow rates of the cooling medium in sequence, and b1 < b2 < b3 < b4; selecting the preset condensation condition Ai as the initial condensation condition of the condensation device according to the difference between the fragmentation characteristic value ΔL and the preset estimated value L0 of the input temperature; when ΔL - L0 ≤ L1, selecting the preset condensation condition A1 as the initial condensation condition of the condensation device; when L1 < ΔL - L0 ≤ L2, selecting the preset condensation condition A2 as the initial condensation condition of the condensation device; when L2 < ΔL - L0 ≤ L3, selecting the third preset condensation condition A3 as the initial condensation condition of the condensation device; when L3 < ΔL - L0 ≤ L4, selecting the fourth preset condensation condition A4 as the initial condensation condition of the condensation device; and controlling the condensation device to operate according to the selected i-th preset condensation condition Ai(ai, bi) as the initial condensation condition of the condensation device.

[0025] Specifically, obtain the input temperature evaluation value △L of the heat source and the preset input temperature evaluation preset value L0; set the preset differences L1, L2, L3, and L4, as well as the corresponding preset condensation conditions A1(a1, b1), A2(a2, b2), A3(a3, b3), and A4(a4, b4), where the values of the preset differences and condensation conditions satisfy a certain order relationship; determine which preset condensation condition should be selected as the initial condensation condition of the condensation device according to the difference between the crushing characteristic value △L and the preset value L0, and select the corresponding preset condensation condition according to different difference ranges; control the operation of the condensation device according to the selected preset condensation condition Ai(ai, bi) to meet the system's requirements for the condensation condition and optimize the system performance. This step intelligently selects the most suitable condensation condition according to the difference between the crushing characteristic value and the preset value, realizing the intelligent control and adjustment of the condensation device; the condensation device can automatically select the appropriate condensation condition and control the operation of the condensation device according to the setting of the preset condition and the judgment of the difference range, reducing manual intervention and improving the automation degree of the operation of the condensation device; by selecting the appropriate condensation condition according to different conditions, the operation of the condensation device can be adjusted more effectively, improving the efficiency and performance of the condensation device, reducing the energy consumption cost, and realizing the optimized management of the condensation device.

[0026] In an embodiment of the present application, a condensation optimization method for a gravity heat pipe is provided. The method includes obtaining the flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node, and analyzing the flow data of the gaseous working medium to determine the flow characteristics of the gaseous working medium, including: obtaining the flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node, and determining the flow rate data and flow velocity data in the flow data; calculating the average value of the flow rate data to obtain the average flow rate value, and calculating the average value of the flow velocity data to obtain the average flow velocity value; determining the average flow rate value and the average flow velocity value as the flow characteristics of the gaseous working medium.

[0027] Specifically, at each preset time acquisition node, the flow data of the gaseous working medium in the gravity heat pipe is collected. These data include flow rate data and flow velocity data. The flow rate data represents the flow rate of the gaseous working medium passing through the pipe cross-section per unit time, while the flow velocity data represents the flow velocity of the gaseous working medium in the pipe; the collected flow rate data and flow velocity data are processed to calculate their average values. By obtaining the average values, possible data fluctuations and noises can be eliminated, and more stable and reliable results can be obtained; the average flow rate value and the average flow velocity value are determined as the flow characteristics of the gaseous working medium. These characteristics can reflect the flow situation of the gaseous working medium in the gravity heat pipe, and the operating state and performance of the system are evaluated and monitored. Through calculating the average flow rate value and the average flow velocity value in this step, the flow characteristics of the gaseous working medium in the gravity heat pipe can be deeply understood, including information such as the magnitude of the flow rate and the speed of the flow velocity, providing data support for further system optimization and adjustment; by analyzing the average values of the flow data, the operating performance and stability of the gravity heat pipe system can be evaluated, problems can be discovered in time and corresponding measures can be taken for adjustment and improvement; regularly collecting the flow data and calculating the average values can realize the real-time monitoring of the flow state of the gaseous working medium, discover abnormal situations in time and process them to ensure the safe and stable operation of the system.

[0028] In an embodiment of the present application, a condensation optimization method for a gravity heat pipe is provided. Based on the flow characteristics of the gaseous working medium, an optimization adjustment coefficient is determined, and the initial condensation conditions are optimized according to the optimization adjustment coefficient, including: obtaining the average flow rate value and the average flow velocity value of the gaseous working medium, determining a flow characteristic coefficient according to the average flow rate value and the average flow velocity value, and determining an optimization adjustment coefficient according to the flow characteristic coefficient; presetting the corresponding relationship between the optimization adjustment coefficient - flow characteristic coefficient intervals. Among them, for each flow characteristic coefficient interval in the corresponding relationship between the optimization adjustment coefficient - flow characteristic coefficient intervals, a corresponding optimization adjustment coefficient is associated; obtaining the flow characteristic coefficient, and based on the mapping relationship of the flow characteristic coefficient interval to which the flow characteristic coefficient belongs in the corresponding relationship between the optimization adjustment coefficient - flow characteristic coefficient intervals, selecting the optimization adjustment coefficient corresponding to the flow characteristic coefficient interval as the corresponding optimization adjustment coefficient; obtaining the optimization adjustment coefficient mi, and optimizing the initial condensation conditions Ai(ai, bi) of the condensation device according to the optimization adjustment coefficient mi to obtain Ai(ai*mi, bi*mi).

[0029] Specifically, obtain the average flow rate value and average flow velocity value of the gaseous working medium, which reflect the flow condition of the gaseous working medium in the pipeline; calculate the flow characteristic coefficient according to the average flow rate value and average flow velocity value. This coefficient can represent the flow characteristics of the gaseous working medium and is a comprehensive evaluation of the flow data; determine the optimization adjustment coefficient according to the flow characteristic coefficient. This coefficient is used to optimize and adjust the initial condensation condition of the condensation device to improve the performance and efficiency of the system; preset the corresponding relationship between the optimization adjustment coefficient - flow characteristic coefficient interval. According to the interval to which the flow characteristic coefficient belongs, select the corresponding optimization adjustment coefficient within the corresponding relationship. After obtaining the optimization adjustment coefficient, adjust the initial condensation condition of the condensation device according to this coefficient to obtain the optimized condensation condition. This step realizes the fine adjustment of the condensation device by calculating the flow characteristic coefficient and determining the optimization adjustment coefficient, optimizes according to the actual flow condition, and improves the efficiency and performance of the system; realizes the automatic selection of the optimization adjustment coefficient according to the preset corresponding relationship between the optimization adjustment coefficient - flow characteristic coefficient interval, simplifies the adjustment process, and improves the automation degree of the system; adjusts the initial condensation condition of the condensation device through the optimization adjustment coefficient, can optimize the operation state of the system, improve the energy utilization efficiency, reduce the energy consumption cost, and achieve the best state of the system performance.

[0030] In an embodiment of the present application, a condensation optimization method for a gravity heat pipe is provided. The determining the flow characteristic coefficient according to the average flow rate value and average flow velocity value includes: calculating the flow characteristic coefficient according to the average flow rate value and average flow velocity value. The calculation formula of the flow characteristic coefficient is: S = α * exp(P1 / Pi) + β * exp(P2 / Pj), where S is the flow characteristic coefficient, exp is the natural exponential function, α is the first preset weight, P1 is the average flow rate value, Pi is the preset standard average flow rate value, β is the second preset weight, P2 is the average flow velocity value, and Pj is the preset standard average flow velocity value.

[0031] As Figure 2As shown in the figure, in the embodiment of the present application, a condensation optimization system for a gravity heat pipe is provided, including: an acquisition module, configured to acquire the input temperature data of the heat source at each preset time acquisition node, and construct a temperature change curve according to the input temperature data; a division module, configured to divide the temperature change curve into two temperature change stages, and determine the temperature change characteristics within each temperature change stage; an evaluation module, configured to evaluate the input temperature change condition of the heat source based on the temperature change characteristics within each temperature change stage, and obtain an input temperature change evaluation value of the heat source; a setting module, configured to set the initial condensation condition of the condensation device according to the input temperature evaluation value of the heat source, where the initial condensation condition includes the condensation temperature and the flow rate of the cooling medium; a determination module, configured to acquire the flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node, and analyze the flow data of the gaseous working medium to determine the flow characteristics of the gaseous working medium; an optimization module, configured to determine an optimization adjustment coefficient based on the flow characteristics of the gaseous working medium, and optimize the initial condensation condition according to the optimization adjustment coefficient.

[0032] In summary, the embodiment of the present invention provides a condensation optimization method and system for a gravity heat pipe, including: acquiring the input temperature data of a point heat source to construct a temperature change curve; dividing the temperature change curve into two temperature change stages, and determining the temperature change characteristics therein; evaluating the input temperature change condition of the heat source based on the temperature change characteristics within each temperature change stage to obtain an input temperature change evaluation value; setting the initial condensation condition of the condensation device according to the input temperature evaluation value, acquiring the flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node, and analyzing it to determine the flow characteristics of the gaseous working medium; determining an optimization adjustment coefficient based on the flow characteristics of the gaseous working medium, and optimizing the initial condensation condition according to it. The present invention determines the optimization adjustment coefficient based on the flow characteristics of the gaseous working medium, which can further optimize the working parameters of the condensation device, improve the operation efficiency and condensation performance of the gravity heat pipe system, save energy, reduce emissions and operating costs, and at the same time enhance the stability and reliability.

[0033] Finally, it should be noted that: Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

[0034] The above is only one example of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made based on the present invention, as long as they do not lose the essence of the present invention, should be regarded as falling within the protection scope of the present invention and being restricted. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process and related descriptions of the above-described platform can refer to the corresponding process in the foregoing platform embodiment, and will not be repeated here.

[0035] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, so that a process, platform, article, or apparatus / platform that comprises a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to these processes, platforms, articles, or apparatus / platforms.

[0036] So far, the technical solution of the present invention has been described in connection with the further embodiments shown in the drawings. However, those skilled in the art can easily understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to closely related technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0037] The above is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

Claims

1. A method for optimizing condensation of a gravity heat pipe, characterized in that: include: Obtain input temperature data of the heat source of each collection node at a preset time, and construct a temperature change curve based on the input temperature data; Divide the temperature change curve into two temperature change stages, and determine the temperature change characteristics in each temperature change stage; The input temperature change of the heat source is evaluated based on the temperature change characteristics in each temperature change stage to obtain an input temperature change evaluation value of the heat source; Setting the initial condensing conditions of the condensing device according to the input temperature evaluation value of the heat source, the initial condensing conditions including the condensing temperature and the cooling medium flow rate; Obtaining flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node, and analyzing the flow data of the gaseous working medium to determine the flow characteristics of the gaseous working medium; The optimized adjustment coefficient is determined based on the flow characteristics of the gaseous working medium, and the initial condensation conditions are optimized according to the optimized adjustment coefficient.

2. A method for optimizing condensation of a gravity heat pipe according to claim 1, characterized in that: The temperature change curve is divided into two temperature change stages, and the temperature change characteristics in each temperature change stage are determined, including: Acquire a temperature change curve, calculate a temperature change average value of the temperature change curve, and divide the temperature change curve into a plurality of temperature change curve segments according to the temperature change average value; The temperature change curve segment above the temperature change average value is regarded as the first temperature change stage, and the temperature change curve segment below the temperature change average value is regarded as the second temperature change stage; Determine the maximum value and average value of each temperature change curve segment in the first temperature change stage, and determine the minimum value and average value of each temperature change curve segment in the second temperature change stage; The maximum value and average value of each temperature change curve segment in the first temperature change stage and the minimum value and average value of each temperature change curve segment in the second temperature change stage are determined as temperature change characteristics within the temperature change stage.

3. A method for optimizing condensation of a gravity heat pipe according to claim 2, characterized in that: The step of evaluating the input temperature change of the heat source based on the temperature change characteristics in each temperature change stage to obtain the input temperature change evaluation value of the heat source includes: Obtaining the maximum value and average value of each temperature change curve segment in the first temperature change stage and the minimum value and average value of each temperature change curve segment in the second temperature change stage; The maximum value and the average value of each temperature change curve segment in the first temperature change stage are evaluated and valued respectively, and the maximum evaluation value and the average evaluation value of each temperature change curve segment are obtained respectively; The maximum evaluation value and the average evaluation value of each temperature change curve segment are multiplied to obtain a comprehensive evaluation value of each temperature change curve segment, and the comprehensive evaluation values ​​of each temperature change curve segment are added to obtain a first temperature evaluation value of the first temperature change stage; The minimum value and the average value of each temperature change curve segment in the second temperature change stage are evaluated and valued respectively, and the minimum evaluation value and the average evaluation value of each temperature change curve segment are obtained respectively; The minimum evaluation value and the average evaluation value of each temperature change curve segment are multiplied to obtain a comprehensive evaluation value of each temperature change curve segment, and the comprehensive evaluation values ​​of each temperature change curve segment are added to obtain a second temperature evaluation value of the second temperature change stage; Determine the time length of the first temperature change stage, and calculate the ratio of the time length of the first temperature change stage to the time length of the temperature change curve to obtain a first ratio; The time length of the second temperature change stage, and the ratio of the time length of the second temperature change stage to the time length of the temperature change curve are calculated to obtain a second ratio; using the first ratio as a weight for a first temperature change stage, and using the second ratio as a weight for a second temperature change stage; The first temperature evaluation value of the first temperature change stage and the second temperature evaluation value of the second temperature change stage are weightedly added to the corresponding weights to obtain the input temperature change evaluation value of the heat source.

4. A method for optimizing condensation of a gravity heat pipe according to claim 3, characterized in that: The initial condensation condition of the condensation device is set according to the input temperature evaluation value of the heat source, and the initial condensation condition includes the condensation temperature and the cooling medium flow rate, including: Obtaining the input temperature evaluation value △L of the heat source and the preset input temperature evaluation preset value L0, and determining the preset preset difference L1, the preset difference L2, the third preset difference L3 and the fourth preset difference L4, and L1<L2<L3<L4; presetting the preset condensation condition A1 (a1, b1), the preset condensation condition A2 (a2, b2), the third preset condensation condition A3 (a3, b3) and the fourth preset condensation condition A4 (a4, b4), wherein a1-a4 are sequentially to the fourth preset condensation temperature, and a1<a2<a3<a4, b1-b4 are sequentially to the fourth preset cooling medium flow rate, and b1<b2<b3<b4; According to the difference between the crushing characteristic value △L and the preset input temperature evaluation preset value L0, a preset condensation condition Ai is selected as the initial condensation condition of the condensation device; When △L-L0≤L1, the preset condensation condition A1 is selected as the initial condensation condition of the condensation device; When L1<△L-L0≤L2, the preset condensation condition A2 is selected as the initial condensation condition of the condensation device; When L2<△L-L0≤L3, the third preset condensation condition A3 is selected as the initial condensation condition of the condensation device; When L3<△L-L0≤L4, the fourth preset condensation condition A4 is selected as the initial condensation condition of the condensation device; The condensing device is controlled to operate according to the selected preset condensing condition Ai (ai, bi) as the initial condensing condition of the condensing device.

5. A method for optimizing condensation of a gravity heat pipe according to claim 4, characterized in that: The acquiring of the flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node and analyzing the flow data of the gaseous working medium to determine the flow characteristics of the gaseous working medium includes: Obtaining flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node, and determining flow data and flow velocity data in the flow data; Calculate the average value of the flow data to obtain the average flow value, and calculate the average value of the flow velocity data to obtain the average flow velocity value; The average flow rate value and the average flow velocity value are determined as the flow characteristics of the gaseous working medium.

6. A method for optimizing condensation of a gravity heat pipe according to claim 5, characterized in that: The step of determining the optimized adjustment coefficient based on the flow characteristics of the gaseous working medium and optimizing the initial condensation conditions according to the optimized adjustment coefficient includes: Obtaining an average flow value and an average flow velocity value of the gaseous working medium, determining a flow characteristic coefficient according to the average flow value and the average flow velocity value, and determining an optimization adjustment coefficient according to the flow characteristic coefficient; Presetting a correspondence between an optimization adjustment coefficient and a flow characteristic coefficient interval, wherein the correspondence between the optimization adjustment coefficient and the flow characteristic coefficient interval is associated with a corresponding optimization adjustment coefficient for each flow characteristic coefficient interval; Acquire a flow characteristic coefficient, and based on a mapping relationship between a flow characteristic coefficient interval to which the flow characteristic coefficient belongs and an optimization adjustment coefficient corresponding to the flow characteristic coefficient interval in a corresponding relationship between the optimization adjustment coefficient and the flow characteristic coefficient interval, select the optimization adjustment coefficient corresponding to the flow characteristic coefficient interval as the corresponding optimization adjustment coefficient; The optimized adjustment coefficient mi is obtained, and the initial condensation condition Ai (ai, bi) of the condensing device is optimized according to the optimized adjustment coefficient mi to obtain Ai (ai*mi, bi*mi).

7. A method for optimizing condensation of a gravity heat pipe according to claim 6, characterized in that: Determining the flow characteristic coefficient according to the average flow value and the average flow velocity value includes: The flow characteristic coefficient is calculated according to the average flow value and the average flow velocity value. The calculation formula of the flow characteristic coefficient is: S=α*exp(P1 / Pi)+β*exp(P2 / Pj), Among them, S is the flow characteristic coefficient, exp is the natural exponential function, α is the first preset weight, P1 is the average flow value, Pi is the preset standard average flow value, β is the second preset weight, P2 is the average flow velocity value, and Pj is the preset standard average flow velocity value.

8. A condensation optimization system for a gravity heat pipe, characterized in that: include: The acquisition module is used to acquire the input temperature data of the heat source of each acquisition node at a preset time, and to construct a temperature change curve according to the input temperature data; A division module is used to divide the temperature change curve into two temperature change stages and determine the temperature change characteristics in each temperature change stage; An evaluation module, used to evaluate the input temperature change of the heat source based on the temperature change characteristics in each temperature change stage, and obtain an input temperature change evaluation value of the heat source; A setting module, used to set the initial condensing conditions of the condensing device according to the input temperature evaluation value of the heat source, the initial condensing conditions including the condensing temperature and the cooling medium flow rate; A determination module is used to obtain the flow data of the gaseous working medium in the gravity heat pipe at each preset time acquisition node, and analyze the flow data of the gaseous working medium to determine the flow characteristics of the gaseous working medium; The optimization module is used to determine the optimization adjustment coefficient based on the flow characteristics of the gaseous working medium, and optimize the initial condensation conditions according to the optimization adjustment coefficient.

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