Heat exchange performance testing method and system based on distributed sensors and storage medium

Abstract

The invention relates to a heat exchange performance testing method and system based on a distributed sensor and a storage medium, and relates to the technical field of heat exchange performance testing. Performing runner scaling simulation according to the simulated use duration to generate a runner position scaling thickness relationship; the scale thickness relation of the runner position is analyzed, and runner heat exchange influence parameters are generated; the flow channel heat exchange influence parameters are analyzed, and flow channel scaling simulation parameters are generated; controlling a heat exchange performance test platform to perform scaling simulation according to the runner scaling simulation parameters, and controlling a distributed sensor to detect the runner to generate actual scaling influence parameters; the runner scaling simulation parameters and the actual scaling influence parameters are analyzed, and scaling simulation deviation is generated; and performing scaling simulation optimization on the heat exchange performance test platform according to the scaling simulation deviation, and controlling the optimized heat exchange performance test platform to perform a heat exchange performance test. The method and the device have the effect of improving the accuracy of the CDU heat exchange performance test.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of heat exchange performance testing, in particular to a heat exchange performance testing method and system based on a distributed sensor and a storage medium. BACKGROUND

[0002] CDU (cooling liquid distribution unit) heat exchange performance testing is a core link for verifying its heat transfer capacity. The testing follows the heat balance principle and calculates the heat exchange and heat transfer coefficient by accurately measuring the temperature, flow and the like.

[0003] In related technologies, a CDU heat exchange performance testing platform includes a primary side and a secondary side. The primary side is connected to an adjustable chilled water system to provide a stable cold source. Temperature, pressure and flow sensors and regulating valves are configured. The secondary side is connected to an experimental dummy load (simulating IT equipment heating), a flow meter, a damping valve and a temperature sensor. In the testing process, the primary side flow and the supply liquid temperature are set to the rated value. The damping valve and the water pump speed are adjusted to make the secondary side flow and the inlet and outlet pressure difference reach the rated value. Then, the dummy load is adjusted to make the secondary side supply liquid temperature equal to the set value. After stable operation for one hour, the heat balance is ensured. Then, the load rate of the dummy load is adjusted for variable load testing. The temperature, flow and pressure data under different load rates are recorded. The detected data are calculated through formulas such as heat exchange and heat transfer coefficient to obtain the core indicators representing the heat exchange performance.

[0004] In the related technologies described above, in actual use, CDU pipes may appear scaling phenomenon. Once the scaling phenomenon occurs, the flow of the cooling liquid in the pipe will be blocked, causing the flow to decrease. Scaling will also cause the heat exchange speed of the cooling liquid to decrease. However, the CDU heat exchange performance testing platform only tests the performance of the CDU in the best state under ideal conditions. Therefore, it cannot test the performance of the CDU under actual operating conditions, resulting in low accuracy of the CDU heat exchange performance testing and room for improvement. SUMMARY

[0005] In order to improve the accuracy of CDU heat exchange performance testing, the present application provides a heat exchange performance testing method and system based on a distributed sensor and a storage medium.

[0006] In a first aspect, the present application provides a heat exchange performance testing method based on a distributed sensor, which adopts the following technical solution: The heat exchange performance testing method based on a distributed sensor includes: Collecting the simulated use duration; Simulating the flow passage scaling according to the simulated use duration to generate a flow passage position scaling thickness relationship; analyzing the flow passage location fouling thickness relationship to generate flow passage heat exchange influence parameters; the flow passage heat exchange influence parameters include flow passage location blockage ratios and flow passage location heat exchange attenuation ratios; analyzing the flow passage heat exchange influence parameters to generate flow passage fouling simulation parameters; controlling a preset heat exchange performance test platform to perform fouling simulation according to the flow passage fouling simulation parameters, and controlling a preset distributed sensor to detect the flow passage to generate actual fouling influence parameters; analyzing the flow passage fouling simulation parameters and the actual fouling influence parameters to generate a fouling simulation deviation; optimizing the fouling simulation of the heat exchange performance test platform according to the fouling simulation deviation, and controlling the optimized heat exchange performance test platform to perform heat exchange performance testing.

[0007] Optionally, the step of generating the flow passage location fouling thickness relationship according to the flow passage fouling simulation location includes: performing power function calculation on the simulation use time length based on a preset fouling growth index to generate a fouling accumulation time; calculating the product of the fouling accumulation time and a preset fouling occurrence rate to generate a flow passage uniform fouling thickness; acquiring the flow passage fouling simulation location; correcting the flow passage uniform fouling thickness according to the flow passage fouling simulation location to generate a flow passage fouling simulation thickness; associating the flow passage fouling simulation location and the flow passage fouling simulation thickness to generate the flow passage location fouling thickness relationship.

[0008] Optionally, the step of generating the flow passage fouling simulation thickness according to the flow passage fouling simulation location includes: finding out a flow passage fouling location curvature in a preset flow passage location curvature relationship according to the flow passage fouling simulation location; analyzing the flow passage fouling location curvature and a preset curvature fouling sensitivity coefficient to generate a flow passage fouling location enrichment coefficient; calculating the product of the flow passage uniform fouling thickness and the flow passage fouling location enrichment coefficient to generate the flow passage fouling simulation thickness.

[0009] Optionally, the step of analyzing the flow passage location fouling thickness relationship to generate flow passage heat exchange influence parameters includes: determining a flow passage location simulated fouling thickness according to the flow passage location fouling thickness relationship; analyzing the flow passage location simulated fouling thickness and a preset flow passage location reference radius to generate a flow passage location blockage ratio; analyzing the flow passage location simulated fouling thickness and a preset reference heat exchange coefficient to generate a flow passage location heat exchange attenuation ratio; The flow passage location blockage ratio is correlated with the flow passage location heat exchange attenuation ratio to generate a flow passage heat exchange influence parameter.

[0010] Optionally, the step of analyzing the flow passage location simulated fouling thickness and the preset flow passage location reference radius to generate the flow passage location blockage ratio comprises: calculating a difference between the flow passage location reference radius and the flow passage location simulated fouling thickness to generate a flow passage fouling influence radius; calculating a flow passage cross-sectional area based on the flow passage fouling influence radius to generate a flow passage fouling influence cross-sectional area; calculating a quotient of the flow passage fouling influence cross-sectional area and a preset flow passage reference cross-sectional area to generate a flow passage flow-through area ratio; calculating a difference between the preset full blockage ratio and the flow passage flow-through area ratio to generate the flow passage location blockage ratio.

[0011] Optionally, the step of analyzing the flow passage location simulated fouling thickness and the preset reference heat exchange coefficient to generate the flow passage location heat exchange attenuation ratio comprises: calculating a quotient of the flow passage location simulated fouling thickness and a preset fouling heat exchange coefficient to generate a flow passage fouling additional thermal resistance; correcting the reference heat exchange coefficient according to the flow passage additional thermal resistance to generate a flow passage fouling influence heat exchange coefficient; calculating a quotient of the flow passage fouling influence heat exchange coefficient and the reference heat exchange coefficient to generate the flow passage location heat exchange attenuation ratio.

[0012] Optionally, the step of analyzing the flow passage heat exchange influence parameter to generate the flow passage fouling simulation parameter comprises: analyzing the flow passage location blockage ratio to generate a flow passage branch blockage ratio; calculating a difference between a preset flow passage branch full flow-through coefficient and the flow passage branch blockage ratio to generate a flow passage branch remaining flow-through ratio; calculating a product of the flow passage branch remaining flow-through ratio and a preset flow passage branch valve opening to generate a flow passage branch fouling simulation valve opening; analyzing the flow passage location heat exchange attenuation ratio to generate a flow passage branch heat exchange attenuation ratio; analyzing the flow passage branch heat exchange attenuation ratio to generate a flow passage branch fouling simulation inlet temperature; correlating the flow passage branch fouling simulation valve opening and the flow passage branch fouling simulation inlet temperature to generate the flow passage fouling simulation parameter.

[0013] Optionally, the step of analyzing the flow passage branch heat exchange attenuation ratio to generate the flow passage branch fouling simulation inlet temperature comprises: calculating a difference between a preset branch heat exchange non-attenuation coefficient and the flow passage branch heat exchange attenuation ratio to generate a flow passage branch remaining heat exchange ratio; Collecting the branch reference heat exchange power, the branch volume flow rate and the branch reference inlet temperature; The flow channel branch remaining heat exchange ratio, the branch reference heat exchange power and the branch volume flow rate are substituted into a preset branch temperature compensation formula to calculate a flow channel branch temperature compensation amount; The sum of the branch reference inlet temperature and the flow channel branch temperature compensation amount is calculated to generate a flow channel branch fouling simulation inlet temperature.

[0014] In a second aspect, the present application provides a heat exchange performance test system based on a distributed sensor, which adopts the following technical solution: A heat exchange performance test system based on a distributed sensor, comprising: A collecting module for collecting the simulation use duration; A memory for storing the program of the heat exchange performance test method based on a distributed sensor according to any one of the above; A processor, the program in the memory can be loaded and executed by the processor and implement the heat exchange performance test method based on a distributed sensor according to any one of the above.

[0015] In a third aspect, the present application provides a computer storage medium, which can store a corresponding program and has the characteristics of facilitating the improvement of the accuracy of CDU heat exchange performance test, and adopts the following technical solution: A computer readable storage medium, which stores a computer program capable of being loaded and executed by a processor to implement the heat exchange performance test method based on a distributed sensor according to any one of the above.

[0016] In summary, the present application has at least one of the following beneficial technical effects: 1. By simulating the flow channel fouling according to the simulation use duration to obtain the flow channel fouling simulation parameter, then controlling the heat exchange performance test platform to simulate the flow channel fouling of the CDU according to the flow channel fouling simulation parameter and optimizing, and finally controlling the optimized heat exchange performance test platform to perform the heat exchange performance test, the micro-plugging phenomenon of the cooling liquid and the heat exchange attenuation phenomenon caused by the flow channel fouling in the long-term use process are simulated, the CDU is tested for the heat exchange performance from the long-term use dimension, and the accuracy of the CDU heat exchange performance test is improved; 2. The uniform fouling thickness of the flow channel is corrected by the flow channel fouling simulation position, so that the fouling thickness of the uniform position is corrected according to the structural particularity of different positions of the flow channel, the flow channel fouling simulation thickness conforming to the actual situation of different positions of the flow channel is obtained, and the accuracy of the flow channel fouling simulation thickness is improved; 3. The flow passage fouling simulation accuracy is improved by converting the flow passage branch blockage ratio into a flow passage branch fouling simulation valve opening, and converting the flow passage branch heat exchange attenuation ratio into a flow passage branch fouling simulation inlet temperature, thereby simulating the micro-blockage phenomenon caused by fouling by adjusting the valve opening, and simulating the heat exchange attenuation phenomenon caused by fouling by adjusting the inlet temperature. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 is a flow chart of the heat exchange performance test method based on distributed sensors in the embodiments of the present application.

[0018] Figure 2 is a flow chart of the step of simulating the fouling of the flow passage according to the simulated use time to generate the flow passage position fouling thickness relationship in the embodiments of the present application.

[0019] Figure 3 is a flow chart of the step of correcting the uniform fouling thickness of the flow passage according to the fouling simulation position of the flow passage to generate the fouling simulation thickness of the flow passage in the embodiments of the present application.

[0020] Figure 4 is a flow chart of the step of analyzing the flow passage position fouling thickness relationship to generate the flow passage heat exchange influence parameter in the embodiments of the present application.

[0021] Figure 5 is a flow chart of the step of analyzing the flow passage position simulated fouling thickness and the preset flow passage position reference radius to generate the flow passage position blockage ratio in the embodiments of the present application.

[0022] Figure 6 is a flow chart of the step of analyzing the flow passage position simulated fouling thickness and the preset reference heat exchange coefficient to generate the flow passage position heat exchange attenuation ratio in the embodiments of the present application.

[0023] Figure 7 is a flow chart of the step of analyzing the flow passage heat exchange influence parameter to generate the flow passage fouling simulation parameter in the embodiments of the present application.

[0024] Figure 8 is a flow chart of the step of analyzing the flow passage branch heat exchange attenuation ratio to generate the flow passage branch fouling simulation inlet temperature in the embodiments of the present application. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical scheme and advantages of the present application more clear, the following will combine the drawings with the embodiments to further describe the present application in detail. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application. Figures 1 to 8

[0026] Reference is made to Figure 1 ​The embodiment of the application discloses a heat exchange performance test method based on a distributed sensor, and comprises the following steps: Step S100: collecting a simulation use duration.

[0027] The simulation use duration refers to a simulation value of the CDU use duration, which is directly input by an operator in a processing terminal. The simulation use duration is input to provide a time basis for subsequent flow passage fouling simulation of the CDU, to ensure that the flow passage fouling simulation conforms to the real use duration of the CDU, and to further improve the accuracy of the CDU heat exchange performance test.

[0028] Step S101: performing flow passage fouling simulation according to the simulation use duration to generate a flow passage position fouling thickness relationship.

[0029] The flow passage position fouling thickness relationship refers to a corresponding relationship between flow passage positions and fouling thicknesses. The flow passage fouling simulation is performed by the processing terminal according to the simulation use duration, so that the fouling thicknesses at different flow passage positions under the simulation use duration are calculated, and then the flow passage positions and the fouling thicknesses are one-to-one corresponding to form a mapping table. For details, refer to the steps of Figure 2 By determining the flow passage position fouling thickness relationship, subsequent specific adjustment of the flow passage according to the flow passage fouling state is provided, so as to provide data support for simulating the influence of fouling on the flow passage heat exchange.

[0030] Step S102: analyzing the flow passage position fouling thickness relationship to generate a flow passage heat exchange influence parameter.

[0031] The flow passage heat exchange influence parameter refers to a parameter set quantifying the influence degree of flow passage fouling on flow passage heat exchange, and includes a flow passage position blockage ratio and a flow passage position heat exchange attenuation ratio. The flow passage heat exchange influence parameter is obtained by the processing terminal after analyzing the flow passage position fouling thickness relationship. For details, refer to the steps of Figure 4 By determining the flow passage heat exchange influence parameter, the influence of flow passage fouling on flow passage heat exchange is quantified, to provide a reference basis for subsequent simulation of flow passage fouling.

[0032] The flow passage position blockage ratio refers to a flow passage area blockage proportion at different positions in the flow passage due to fouling. The specific flow passage position can be selected by the operator, and reflects the degree of occupation of the flow passage fouling on the flow passage space.

[0033] The flow passage position heat exchange attenuation ratio refers to a flow passage heat exchange coefficient attenuation proportion at different positions in the flow passage due to fouling, and reflects the degree of weakening of the flow passage fouling on the flow passage heat transfer ability.

[0034] Step S103: analyzing the flow passage heat exchange influence parameter to generate a flow passage fouling simulation parameter.

[0035] The flow channel fouling simulation parameter refers to a core parameter for simulating the flow channel fouling state, including a flow channel branch fouling simulation valve opening degree and a flow channel branch fouling simulation inlet temperature. The valve opening degree is adjusted to simulate the micro-plugging phenomenon of the cooling liquid caused by fouling, and the temperature of the flow channel branch is adjusted to simulate the weakening phenomenon of the cooling liquid heat exchange caused by fouling, so as to reflect the fouling phenomenon of the flow channel. The actual fouling influence parameter is obtained after the flow channel heat exchange influence parameter is analyzed by the processing terminal. For details, refer to the steps of Figure 7 , so as to ensure the authenticity of the flow channel fouling simulation.

[0036] The flow channel branch fouling simulation valve opening degree refers to the valve opening degree for simulating the micro-plugging phenomenon of the cooling liquid caused by the flow channel fouling. The thicker the fouling thickness is, the more serious the flow plugging phenomenon of the cooling liquid is. The valve opening degree is adjusted to be smaller to equivalently replace the fouling plugging.

[0037] The flow channel branch fouling simulation inlet temperature refers to the inlet cooling liquid temperature for simulating the weakening phenomenon of the cooling liquid heat exchange caused by the flow channel fouling. The thicker the fouling thickness is, the higher the weakening degree of the cooling liquid heat exchange is. The inlet temperature is adjusted to be higher to simulate the loss of the fouling heat exchange through the temperature adjustment.

[0038] Step S104: controlling the preset heat exchange performance test platform to simulate fouling according to the flow channel fouling simulation parameter, and controlling the preset distributed sensor to detect the flow channel to generate an actual fouling influence parameter.

[0039] After the flow channel fouling simulation parameter is determined, the valve opening degree adjusting assembly and the inlet temperature adjusting assembly in the heat exchange performance test platform are controlled to adjust the valve opening degree and the inlet temperature of the corresponding flow channel branch to the valve opening degree and the inlet temperature corresponding to the flow channel fouling simulation parameter, so as to simulate the actual operation condition of the CDU flow channel fouling, and the distributed sensor is controlled to detect the flow channel to obtain the actual fouling influence parameter, which provides data support for subsequent optimization of the flow channel fouling simulation.

[0040] The heat exchange performance test platform refers to a platform for testing the heat exchange performance of the CDU, including a heat source simulation unit, a measured CDU and a liquid delivery and adjustment system. The heat source simulation unit can accurately generate and control a heat power of 300KW-2.4MW. The measured CDU is in communication with the heat source simulation unit and exchanges heat with the heat source simulation unit. The liquid delivery and adjustment system adjusts the flow channel valve opening degree and the inlet temperature of the CDU to simulate the flow channel fouling phenomenon.

[0041] The distributed sensor refers to a sensor for detecting the heat exchange parameter of the CDU, including a flow sensor, a temperature sensor, a pressure sensor, a heat exchange coefficient sensor and a valve opening degree sensor arranged in the flow channel. The distributed sensor is used to collect the real data of the cooling liquid in the flow channel, so as to provide data support for the simulation optimization of the flow channel fouling and the test of the heat exchange performance of the CDU.

[0042] The actual fouling influence parameter refers to the measured value of the valve opening and the inlet temperature of the simulated flow channel after adjustment, including the measured value of the valve opening and the measured value of the inlet temperature, which is detected by the distributed sensor on different flow channel branches and sent to the processing terminal to provide data support for subsequent optimization of the flow channel fouling simulation.

[0043] Step S105: analyze the flow channel fouling simulation parameters and the actual fouling influence parameters to generate a fouling simulation deviation.

[0044] The fouling simulation deviation refers to the error between the adjusted value and the measured value of the flow channel fouling simulation, including the valve opening error and the inlet temperature error, which is calculated by the processing terminal based on the difference between the valve opening in the flow channel fouling simulation parameters and the valve opening in the actual fouling influence parameters and the difference between the inlet temperature in the flow channel fouling simulation parameters and the inlet temperature in the actual fouling influence parameters, to provide a point-by-point error signal for subsequent closed-loop correction of the fouling simulation.

[0045] Step S106: optimize the fouling simulation of the heat exchange performance test platform according to the fouling simulation deviation, and control the optimized heat exchange performance test platform to perform heat exchange performance testing.

[0046] After determining the fouling simulation deviation, the valve opening deviation parameter and the inlet temperature deviation parameter corresponding to the fouling simulation deviation are input into the branch valve opening PID algorithm and the inlet temperature PID algorithm, respectively, with the valve opening error and the inlet temperature error as the input signals of the two PID controllers, respectively, to calculate the proportional term, the integral term and the differential term, and finally to sum up the valve opening control value and the inlet temperature control value, so as to control the CDU of the liquid delivery and regulation system with the valve opening control value and the inlet temperature control value to optimize the fouling simulation, and control the optimized heat exchange performance test platform to perform heat exchange performance testing. The specific testing process is not described here.

[0047] Referring to Figure 2 The step of simulating the flow channel fouling according to the simulated use length to generate the flow channel position fouling thickness relationship includes: Step S200: perform power function calculation on the simulated use length based on the preset fouling growth index to generate the fouling accumulation time.

[0048] The fouling growth index refers to a calibration coefficient that describes the non-linear exponential growth law of the flow channel fouling thickness with time. For example, 0.3-0.7 reflects the phenomenon that the flow channel fouling speed gradually slows down with time. The more the flow channel fouling, the smaller the heat transfer temperature difference, and the lower the roughness of the fouling, resulting in a decrease in the fouling speed. By recording the fouling thickness of the same type of flow channel at different times, the flow channel thickness and time are taken logarithmically and linearized, and finally a linear regression is performed using the least squares method to obtain the slope, which is the fouling growth index.

[0049] The fouling accumulation time refers to a non-linear time describing the fouling in the flow channel, which maps the linear use time to the accumulation time conforming to the fouling deposition rule, and is obtained by the processing terminal based on the fouling growth index to calculate the power function of the simulated use time length.

[0050] Step S201: The product of the fouling accumulation time and the preset fouling occurrence rate is calculated to generate the flow channel uniform fouling thickness.

[0051] The fouling occurrence rate refers to the thickness of the fouling in a unit time, which is obtained by recording the fouling thickness of the same type of flow channel at different times, linearizing the flow channel thickness and time after taking the logarithm, and finally using the least square method for linear regression to take the intercept and calculate the exponential function of the intercept.

[0052] The flow channel uniform fouling thickness refers to the fouling thickness after the use time length under the condition of no influence of the flow channel structure, which is obtained by the processing terminal to calculate the product of the fouling accumulation time and the fouling occurrence rate, and provides benchmark data for subsequent analysis of the actual fouling thickness of different positions of the flow channel.

[0053] Step S202: The flow channel fouling simulation position is collected.

[0054] The flow channel fouling simulation position refers to the specific position of the CDU for flow channel fouling simulation, including different structural feature points such as straight segments, curved segments, and variable diameter segments of the flow channel. The specific position is directly selected by the operator in the CDU three-dimensional modeling of the heat exchange test platform, so as to clearly define the actual fouling simulation position and ensure the accuracy of subsequent fouling simulation.

[0055] Step S203: The flow channel uniform fouling thickness is corrected according to the flow channel fouling simulation position to generate the flow channel fouling simulation thickness.

[0056] The flow channel fouling simulation thickness refers to the thickness of the fouling after the use time length under the influence of the flow channel structure, which is obtained by the processing terminal after correcting the flow channel uniform fouling thickness according to the flow channel fouling simulation position. The specific method is referred to the step of Figure 3 .

[0057] Step S204: The flow channel fouling simulation position and the flow channel fouling simulation thickness are associated to generate the flow channel position fouling thickness relationship.

[0058] The flow channel position fouling thickness relationship in this step is consistent with the flow channel position fouling thickness relationship in step S101. The processing terminal forms a structured mapping table by one-to-one correspondence of the flow channel fouling simulation position and the flow channel fouling simulation thickness. The relationship takes position as index and thickness as numerical value, records the fouling thickness of different positions in the flow channel, and provides complete data support for the flow channel fouling simulation.

[0059] With reference to Figure 3 , the step of correcting the uniform fouling thickness of the flow channel according to the flow channel fouling simulation position to generate the flow channel fouling simulation thickness comprises: Step S300: finding out the flow channel fouling position curvature in the preset flow channel position curvature relationship according to the flow channel fouling simulation position.

[0060] The flow channel position curvature relationship refers to the correspondence between different positions and curvatures in the flow channel. The curvature of different positions is extracted by the operator according to the three-dimensional modeling data of the flow channel, for example, the curvature of the straight section is 0, and the curvature of the circular arc section is the reciprocal of the radius, and the positions and curvatures are one-to-one corresponding to form a structured mapping table.

[0061] The flow channel fouling position curvature refers to the curvature of the flow channel fouling simulation position, which is found out by the processing terminal according to the mapping table corresponding to the flow channel fouling simulation position in the flow channel position curvature relationship. By determining the flow channel fouling position curvature, data support is provided for subsequent analysis of the influence of the position on the fouling thickness.

[0062] Step S301: analyzing the flow channel fouling position curvature and the preset curvature fouling sensitivity coefficient to generate the flow channel fouling position enrichment coefficient.

[0063] The curvature fouling sensitivity coefficient refers to the additional fouling thickness caused by unit curvature. The structural thickness of the curved flow channel with different curvatures is detected, and the quotient of the structural thickness difference and the curvature difference is calculated to obtain the measured thickness enrichment coefficient. The measured thickness enrichment coefficient and the curvature are substituted into the relationship between the thickness enrichment coefficient, the curvature and the curvature fouling sensitivity coefficient to inversely calculate the curvature fouling sensitivity coefficient. The relationship between the thickness enrichment coefficient, the curvature and the curvature fouling sensitivity coefficient is disclosed in the flow channel fouling position enrichment coefficient.

[0064] The flow channel fouling position enrichment coefficient refers to the multiple of the fouling thickness of the flow channel fouling simulation position compared with the uniform fouling thickness. The processing terminal calculates the product of the flow channel fouling position curvature and the curvature fouling sensitivity coefficient to obtain the influence ratio, and then calculates the sum of 1 and the influence ratio to obtain the flow channel fouling position enrichment coefficient.

[0065] Step S302: calculating the product of the flow channel uniform fouling thickness and the flow channel fouling position enrichment coefficient to generate the flow channel fouling simulation thickness.

[0066] The flow channel fouling simulation thickness in this step is consistent with the flow channel fouling simulation thickness in step S203, which is calculated by the processing terminal.

[0067] With reference to Figure 4The step of analyzing the relationship between the fouling thickness of the flow channel position to generate the flow channel heat exchange influence parameter includes: Step S400: determining the flow channel position simulated fouling thickness according to the relationship between the fouling thickness of the flow channel position.

[0068] The flow channel position simulated fouling thickness refers to the specific simulated fouling thickness of a specific simulated fouling position in the flow channel, which is extracted one by one from the mapping table corresponding to the relationship between the fouling thickness of the flow channel position by the processing terminal according to the position order.

[0069] Step S401: analyzing the flow channel position simulated fouling thickness and the preset flow channel position reference radius to generate the flow channel position blockage ratio.

[0070] The flow channel position reference radius refers to the radius in the ideal state of the flow channel, and the specific value is determined by the operator according to the design parameters or actual measurement of the flow channel.

[0071] The flow channel position blockage ratio in this step is consistent with the flow channel position blockage ratio disclosed in step S102, which is obtained by the processing terminal after analyzing the flow channel position simulated fouling thickness and the flow channel position reference radius, and the specific method is referred to the steps of Figure 5 .

[0072] Step S402: analyzing the flow channel position simulated fouling thickness and the preset reference heat exchange coefficient to generate the flow channel position heat exchange attenuation ratio.

[0073] The reference heat exchange coefficient refers to the heat exchange coefficient in the ideal state of the flow channel, which is obtained by the operator using the ideal flow channel for heat exchange test.

[0074] The flow channel position heat exchange attenuation ratio in this step is consistent with the flow channel position heat exchange attenuation ratio disclosed in step S102, which is obtained by the processing terminal after analyzing the flow channel position simulated fouling thickness and the reference heat exchange coefficient, and the specific method is referred to the steps of Figure 6 .

[0075] Step S403: correlating the flow channel position blockage ratio and the flow channel position heat exchange attenuation ratio to generate the flow channel heat exchange influence parameter.

[0076] The flow channel heat exchange influence coefficient in this step is consistent with the flow channel heat exchange influence coefficient in step S102, which is formed by the processing terminal storing the flow channel position blockage ratio and the flow channel position heat exchange attenuation ratio in the same data table.

[0077] Refer to Figure 5 The step of analyzing the flow channel position simulated fouling thickness and the preset flow channel position reference radius to generate the flow channel position blockage ratio includes: Step S500: Calculate the difference between the flow channel position reference radius and the flow channel position simulated fouling thickness to generate the flow channel fouling impact radius.

[0078] The flow channel fouling impact radius refers to the remaining radius after the flow channel is fouled, and is calculated by the processing terminal by calculating the difference between the flow channel position reference radius and the flow channel position simulated fouling thickness, providing data support for subsequent calculation of the blockage degree.

[0079] Step S501: Calculate the flow channel cross-sectional area based on the flow channel fouling impact radius to generate the flow channel fouling impact cross-sectional area.

[0080] The flow channel fouling impact cross-sectional area refers to the remaining flow channel cross-sectional area after the flow channel is fouled, and is obtained by inputting the flow channel fouling impact radius into the calculation formula of the area of a circle.

[0081] Step S502: Calculate the quotient of the flow channel fouling impact cross-sectional area and the preset flow channel reference cross-sectional area to generate the flow channel flow area ratio.

[0082] The flow channel reference cross-sectional area refers to the cross-sectional area of the flow channel in an ideal state, which is obtained by the operator according to the design manual of the flow channel or actual measurement.

[0083] The flow channel flow area ratio refers to the proportion of the area available for the cooling liquid to flow through after the flow channel is fouled, and is obtained by the processing terminal by calculating the quotient of the flow channel fouling impact cross-sectional area and the flow channel reference cross-sectional area.

[0084] Step S503: Calculate the difference between the preset complete blockage ratio and the flow channel flow area ratio to generate the flow channel position blockage ratio.

[0085] The complete blockage ratio refers to the blockage ratio when the flow channel is completely blocked, i.e. 1.

[0086] The flow channel position blockage ratio in this step is consistent with the flow channel position blockage ratio in step S401, and is obtained by the processing terminal by calculating the difference between the complete blockage ratio and the flow channel flow area ratio, i.e. the greater the flow channel fouling thickness, the smaller the flow channel fouling impact radius, the smaller the flow channel fouling impact cross-sectional area, the smaller the flow channel flow area ratio, and the greater the flow channel position blockage ratio.

[0087] Reference Figure 6 The step of analyzing the flow channel position simulated fouling thickness and the preset reference heat exchange coefficient to generate the flow channel position heat exchange attenuation ratio includes: Step S600: Calculate the quotient of the flow channel position simulated fouling thickness and the preset fouling heat exchange coefficient to generate the flow channel fouling additional thermal resistance.

[0088] The fouling heat exchange coefficient refers to the heat exchange coefficient of fouling, which is determined by the material of fouling and is obtained by the operator through experiments.

[0089] The additional heat resistance of the flow channel refers to the additional heat resistance after the flow channel is scaled, and the greater the scaling thickness, the greater the heat resistance, and the greater the heat exchange resistance of the flow channel. The quotient of the simulated scaling thickness and the scaling heat exchange coefficient at the flow channel position is calculated by the processing terminal.

[0090] Step S601: correcting the reference heat exchange coefficient according to the additional heat resistance of the flow channel to generate the scaling heat exchange coefficient of the flow channel.

[0091] The scaling heat exchange coefficient of the flow channel refers to the heat exchange coefficient after the flow channel is scaled, and the scaling heat exchange coefficient of the flow channel is calculated by the processing terminal. The reciprocal of the reference heat exchange coefficient is obtained. The sum of the reference heat resistance and the additional heat resistance of the flow channel is calculated, and finally the reciprocal of the total heat resistance is calculated to obtain the scaling heat exchange coefficient of the flow channel.

[0092] Step S602: calculating the quotient of the scaling heat exchange coefficient of the flow channel and the reference heat exchange coefficient to generate the heat exchange attenuation ratio of the flow channel position.

[0093] The heat exchange attenuation ratio of the flow channel position in this step is consistent with the heat exchange attenuation ratio of the flow channel position in step S402, and the quotient of the scaling heat exchange coefficient of the flow channel and the reference heat exchange coefficient is calculated by the processing terminal.

[0094] Reference Figure 7 The step of analyzing the flow channel heat exchange influence parameter to generate the flow channel scaling simulation parameter includes: Step S700: analyzing the flow channel position blockage ratio to generate the flow channel branch blockage ratio.

[0095] The flow channel branch blockage ratio refers to the blockage ratio of the flow channel branch, and the flow channel position blockage ratio is classified by the processing terminal according to the flow channel branch. The flow channel position blockage ratios belonging to the same flow channel branch are classified as the same class of data, and the weighted average value of the same class of flow channel position blockage ratio is calculated to obtain the flow channel branch blockage ratio.

[0096] Step S701: calculating the difference between the preset flow channel branch complete flow coefficient and the flow channel branch blockage ratio to generate the flow channel branch remaining flow ratio.

[0097] The flow channel branch complete flow coefficient refers to the ideal flow coefficient of the flow channel branch, which is 1, and the flow channel branch is not blocked in this state.

[0098] The flow channel branch remaining flow ratio refers to the remaining flow ratio of the flow channel branch under the influence of scaling, and the difference between the flow channel branch complete flow coefficient and the flow channel branch blockage ratio is calculated by the processing terminal.

[0099] Step S702: calculating the product of the flow channel branch remaining flow ratio and the preset flow channel branch valve opening to generate the flow channel branch scaling simulation valve opening.

[0100] Wherein, the flow channel branch valve opening degree refers to the full opening degree of the flow channel branch valve, i.e. 1, and the valve is fully opened at this opening degree.

[0101] The flow channel branch fouling simulation valve opening degree in this step is consistent with the flow channel branch fouling simulation valve opening degree disclosed in step S103, and the product of the flow channel branch remaining flow ratio and the flow channel branch valve opening degree is obtained by the processing terminal, and the micro-plugging phenomenon of fouling is simulated by reducing the flow ratio of the flow channel branch.

[0102] Step S703: analyzing the flow channel position heat exchange attenuation ratio to generate a flow channel branch heat exchange attenuation ratio.

[0103] Wherein, the flow channel branch heat exchange attenuation ratio refers to the heat exchange attenuation ratio of the flow channel branch, which is classified by the processing terminal according to the flow channel branch, and the flow channel position heat exchange attenuation ratios belonging to the same flow channel branch are classified as the same data, and the weighted average value of the same class of flow channel position heat exchange attenuation ratio is calculated to obtain the flow channel branch heat exchange attenuation ratio.

[0104] Step S704: analyzing the flow channel branch heat exchange attenuation ratio to generate a flow channel branch fouling simulation inlet temperature.

[0105] Wherein, the flow channel branch fouling simulation inlet temperature in this step is consistent with the flow channel branch fouling simulation inlet temperature disclosed in step S103, and is obtained by the processing terminal after analyzing the flow channel branch heat exchange attenuation ratio. For details, refer to the steps of Figure 8 .

[0106] Step S705: associating the flow channel branch fouling simulation valve opening degree and the flow channel branch fouling simulation inlet temperature to generate a flow channel fouling simulation parameter.

[0107] Wherein, the flow channel fouling simulation parameter in this step is consistent with the flow channel fouling simulation parameter in step S103, and is formed by the processing terminal storing the flow channel branch fouling simulation valve opening degree and the flow channel branch fouling simulation inlet temperature in the same data table.

[0108] Referring to Figure 8 , the step of analyzing the flow channel branch heat exchange attenuation ratio to generate a flow channel branch fouling simulation inlet temperature comprises: Step S800: calculating the difference between the preset branch heat exchange non-attenuation coefficient and the flow channel branch heat exchange attenuation ratio to generate a flow channel branch remaining heat exchange ratio.

[0109] Wherein, the branch heat exchange non-attenuation coefficient refers to the non-attenuation proportion of the heat exchange coefficient of the flow channel branch in the ideal state, i.e. 1, and at this proportion, the flow channel branch heat exchange coefficient has no attenuation.

[0110] The branch channel remaining heat exchange ratio refers to the proportion of the remaining heat exchange coefficient of the branch channel under the fouling state, and is obtained by the processing terminal calculating the difference between the branch channel heat exchange undiminished coefficient and the branch channel heat exchange decay ratio.

[0111] Step S801: Collecting the branch channel reference heat exchange power, the branch channel volume flow rate and the branch channel reference inlet temperature.

[0112] The branch channel reference heat exchange power refers to the heat exchange power of the branch channel under the ideal state, the branch channel volume flow rate refers to the volume flow rate of the branch channel under the ideal state, and the branch channel reference inlet temperature refers to the inlet temperature of the branch channel under the ideal state, which are obtained by the operator calling on the heat exchange performance test platform.

[0113] Step S802: Substituting the branch channel remaining heat exchange ratio, the branch channel reference heat exchange power and the branch channel volume flow rate into the preset branch channel temperature compensation formula to generate the branch channel temperature compensation amount.

[0114] The branch channel temperature compensation formula refers to the formula for increasing the temperature of the cooling liquid according to the weakening influence of fouling on heat exchange, and the formula includes two parts of a numerator and a denominator. The denominator part is the product of the specific heat capacity of the cooling liquid, the density of the cooling liquid and the branch channel volume flow rate, and the numerator part is the product of the branch channel remaining heat exchange ratio and the branch channel reference heat exchange power. The specific heat capacity of the cooling liquid and the density of the cooling liquid are obtained by the operator reading the cooling liquid instruction manual.

[0115] The branch channel temperature compensation amount refers to the increase value of the inlet temperature of the branch channel, which is obtained by the processing terminal substituting the branch channel remaining heat exchange ratio, the branch channel reference heat exchange power and the branch channel volume flow rate into the branch channel temperature compensation formula.

[0116] Step S803: Calculating the sum of the branch channel reference inlet temperature and the branch channel temperature compensation amount to generate the branch channel fouling simulation inlet temperature.

[0117] The branch channel fouling simulation inlet temperature in this step is consistent with the branch channel fouling simulation inlet temperature in step S704, and is obtained by the processing terminal calculating the sum of the branch channel reference inlet temperature and the branch channel temperature compensation amount.

[0118] Based on the same inventive concept, the embodiment of the present application provides a heat exchange performance test system based on a distributed sensor, which comprises: The acquisition module is configured to acquire the simulation use time length, the branch channel reference heat exchange power, the branch channel volume flow rate and the branch channel reference inlet temperature. The memory is configured to store the program of the heat exchange performance test method based on the distributed sensor. The processor can load and execute the program in the memory and implement the heat exchange performance test method based on the distributed sensor.

[0119] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is exemplified, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal fouling of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0120] The embodiment of the present application provides a computer readable storage medium, which stores a computer program capable of being loaded and executed by a processor to perform a heat exchange performance test method based on a distributed sensor.

[0121] The computer storage medium includes, for example, a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media capable of storing program codes.

[0122] Based on the same inventive concept, the embodiment of the present application provides an intelligent terminal, which comprises a memory and a processor, and the memory stores a computer program capable of being loaded and executed by the processor to perform a heat exchange performance test method based on a distributed sensor.

[0123] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is exemplified, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal fouling of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0124] The above are preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in the specification (including the abstract and drawings) can be replaced by other equivalent or similar features unless specifically described. That is, each feature is only an example of a series of equivalent or similar features unless specifically described.

Claims

1. A method for testing heat transfer performance based on distributed sensors, characterized in that, include: Data collection and simulation usage time; Scaling in the flow channel is simulated based on the simulated usage time to generate the relationship between the scale thickness at the flow channel location; The relationship between fouling thickness at the flow channel location is analyzed to generate flow channel heat transfer influence parameters; the flow channel heat transfer influence parameters include the flow channel blockage ratio and the flow channel heat transfer attenuation ratio. The parameters affecting heat transfer in the flow channel are analyzed to generate simulated parameters for flow channel fouling. Based on the flow channel scaling simulation parameters, a preset heat exchange performance test platform is controlled to simulate scaling, and preset distributed sensors are controlled to detect the flow channel in order to generate actual scaling influence parameters. The simulated parameters of flow channel scaling and the actual scaling influence parameters are analyzed to generate scaling simulation deviations; The heat exchange performance test platform was optimized based on the scaling simulation deviation, and the optimized heat exchange performance test platform was then used for heat exchange performance testing.

2. The heat transfer performance testing method based on distributed sensors according to claim 1, characterized in that, The steps for simulating flow channel fouling based on simulated usage time to generate the fouling thickness relationship at flow channel locations include: The simulated usage time is calculated using a power function based on a preset scaling growth index to generate the scaling accumulation time. Calculate the product of the scaling accumulation time and the preset scaling rate to generate a uniform scaling thickness in the flow channel; Simulated locations of scale buildup in the flow channel; The uniform scaling thickness in the flow channel is corrected based on the simulated scaling location to generate the simulated scaling thickness in the flow channel. Correlate the simulated location of fouling in the flow channel with the simulated thickness of fouling in the flow channel to generate a relationship between the fouling thickness at the flow channel location.

3. The heat transfer performance testing method based on distributed sensors according to claim 2, characterized in that, The steps for correcting the uniform fouling thickness in the flow channel based on the simulated fouling location to generate the simulated fouling thickness include: Based on the simulated location of fouling in the flow channel, the curvature of the fouling location is found in the preset flow channel curvature relationship; The curvature of the fouling location in the flow channel and the preset curvature fouling sensitivity coefficient are analyzed to generate the flow channel fouling location enrichment coefficient. The product of the uniform fouling thickness in the flow channel and the enrichment coefficient of the fouling location in the flow channel is calculated to generate the simulated fouling thickness in the flow channel.

4. The heat transfer performance testing method based on distributed sensors according to claim 1, characterized in that, The steps for analyzing the relationship between fouling thickness at the flow channel location to generate flow channel heat transfer influence parameters include: The simulated scale thickness at the flow channel location is determined based on the relationship between scale thickness at the flow channel location; The simulated scale thickness at the flow channel location and the preset reference radius of the flow channel location are analyzed to generate the flow channel location blockage ratio; The simulated fouling thickness and preset baseline heat transfer coefficient at the flow channel location are analyzed to generate the heat transfer attenuation ratio at the flow channel location. Correlate the flow channel location blockage ratio and the flow channel location heat transfer attenuation ratio to generate flow channel heat transfer influence parameters.

5. The heat transfer performance testing method based on distributed sensors according to claim 4, characterized in that, The steps for analyzing the simulated scale thickness at the flow channel location and the preset reference radius of the flow channel location to generate the flow channel location blockage ratio include: Calculate the difference between the reference radius of the flow channel location and the simulated scale thickness at the flow channel location to generate the flow channel scale influence radius; The cross-sectional area of ​​the flow channel is calculated based on the radius of influence of scaling in the flow channel to generate the cross-sectional area affected by scaling in the flow channel; Calculate the quotient of the cross-sectional area affected by scaling in the flow channel and the preset reference cross-sectional area of ​​the flow channel to generate the flow channel area ratio; The difference between the preset complete blockage ratio and the flow area ratio is calculated to generate the flow location blockage ratio.

6. The heat transfer performance testing method based on distributed sensors according to claim 4, characterized in that, The steps for analyzing the simulated fouling thickness and preset baseline heat transfer coefficient at the flow channel location to generate the heat transfer attenuation ratio at the flow channel location include: The quotient of the simulated fouling thickness at the flow channel location and the preset fouling heat transfer coefficient is calculated to generate the additional thermal resistance of the flow channel fouling. The reference heat transfer coefficient is corrected based on the additional thermal resistance of the flow channel to generate a flow channel fouling effect on the heat transfer coefficient. Calculate the quotient of the heat transfer coefficient affected by fouling in the flow channel and the reference heat transfer coefficient to generate the heat transfer attenuation ratio at the flow channel location.

7. The heat transfer performance testing method based on distributed sensors according to claim 1, characterized in that, The steps for analyzing the heat transfer influence parameters of the flow channel to generate flow channel fouling simulation parameters include: The blockage ratio at the flow channel location is analyzed to generate the blockage ratio of the flow channel branch. Calculate the difference between the preset full flow coefficient of the flow channel branch and the blockage ratio of the flow channel branch to generate the remaining flow ratio of the flow channel branch; Calculate the product of the remaining flow ratio of the flow channel branch and the preset valve opening of the flow channel branch to generate the simulated valve opening for scaling in the flow channel branch; The heat transfer attenuation ratio at the flow channel location is analyzed to generate the heat transfer attenuation ratio of the flow channel branch. The heat transfer attenuation ratio of the flow channel branches was analyzed to generate a simulated inlet temperature for scaling in the flow channel branches. Correlate the valve opening and inlet temperature of the simulated scaling in the flow channel branch to generate simulated scaling parameters.

8. The heat transfer performance testing method based on distributed sensors according to claim 7, characterized in that, The steps for analyzing the heat transfer attenuation ratio of the flow channel branches to generate a simulated inlet temperature for flow channel branch fouling include: Calculate the difference between the preset branch heat transfer non-attenuation coefficient and the flow channel branch heat transfer attenuation ratio to generate the flow channel branch residual heat transfer ratio. Collect the branch reference heat exchange power, branch volumetric flow rate, and branch reference inlet temperature; The remaining heat transfer ratio of the flow channel branch, the reference heat transfer power of the branch, and the volumetric flow rate of the branch are substituted into the preset branch temperature compensation formula for calculation to generate the flow channel branch temperature compensation amount. The sum of the reference inlet temperature of the branch and the temperature compensation of the flow channel branch is calculated to generate the simulated inlet temperature of the flow channel branch for scaling.

9. A heat transfer performance testing system based on distributed sensors, characterized in that, include: The data acquisition module is used to collect simulated usage time. A memory for storing the program of the heat transfer performance testing method based on distributed sensors as described in any one of claims 1 to 8; The processor and the program in the memory can be loaded and executed by the processor to implement the heat exchange performance testing method based on distributed sensors as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer program is stored that can be loaded by a processor and executed as described in any one of claims 1 to 8, which is a method for testing heat exchange performance based on distributed sensors.

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