A smart leak detection system and method for aerospace heat pipes

Abstract

This invention relates to the field of aerospace heat pipe detection technology, specifically to an intelligent leak detection system and method for aerospace heat pipes. The invention places the aerospace heat pipe in a simulated real-world environment, segments it according to its type and placement, and generates temperature distribution maps for each segment using infrared thermal imaging. The absolute concentration difference of tracer gas at both ends of each segment is used to comprehensively determine whether a leak exists. For heat pipes where no leaks are found, ultrasonic testing and analysis of the hot fluid pressure data at both ends are performed to generate ultrasonic flaw detection coefficients and hot fluid pressure difference coefficients. A hazard index is obtained through comprehensive analysis of these coefficients, determining the hazard level. This invention achieves accurate identification of leak areas, comprehensively assesses the condition of the heat pipe, reduces false positives or false negatives, and improves the early warning capability for potential hazards.

Description

Technical Field

[0001] This invention relates to the field of intelligent leak detection for aerospace heat pipes, and specifically to an intelligent leak detection system and method for aerospace heat pipes. Background Technology

[0002] Aerospace heat pipes play a crucial role in transporting propellants within spacecraft, serving as one of the primary methods for this purpose. Their sealing performance directly impacts the spacecraft's thermal management efficiency and operational safety. However, the complex operating conditions of aerospace heat pipes make it difficult to directly apply inspection methods used for other pipes. Furthermore, a single inspection method may not be effective in detecting leaks in aerospace heat pipes. Therefore, how to detect defects that cause leaks in aerospace heat pipes has become an urgent problem to be solved.

[0003] However, existing technologies have the following problems: 1. Existing technologies do not truly simulate the actual space environment, which makes it impossible to accurately assess the leakage risk of space heat pipes in complex space environments and to truly reflect the impact of complex space environments on heat pipes. This results in a large deviation in the assessment of heat pipe leakage risk, which may underestimate or misjudge potential leakage hazards, ultimately affecting the safe operation of space equipment in space.

[0004] 2. Existing technologies mostly use a single detection method to determine whether aerospace heat pipes have leaked. When the amount of heat pipe leakage is small or the temperature change is not obvious, it is difficult to accurately identify the leakage area, resulting in low detection accuracy. It is impossible to comprehensively assess the condition of the heat pipe, and misjudgment or missed judgment is likely to occur.

[0005] 3. For high-precision components like aerospace heat pipes, even minor leaks or potential hazards can lead to serious consequences. Current technologies do not combine acoustic detection results with changes in heat fluid pressure to accurately locate and quantify relevant hazard indices, thus failing to meet the stringent requirements of the aerospace field for heat pipe detection accuracy. Summary of the Invention

[0006] This invention aims to provide an intelligent leak detection system and method for aerospace heat pipes, which solves the problems of existing pipeline inspection systems and improves the accuracy of pipeline inspection systems by realizing the judgment of pipeline leaks and flaw detection.

[0007] The technical solution adopted by this invention to solve its technical problem is: an intelligent leak detection system for aerospace heat pipes, comprising an aerospace heat pipe placement module, a heat pipe segmentation and detection module, a heat pipe leak determination module, a heat pipe flaw detection and analysis module, and a heat pipe early warning and reminder module. The connection relationships between the modules are as follows: the aerospace heat pipe placement module and the heat pipe segmentation and detection module are connected; the heat pipe leak determination module is connected to both the heat pipe segmentation and detection module and the heat pipe flaw detection and analysis module; and the heat pipe flaw detection and analysis module is connected to the heat pipe early warning and reminder module.

[0008] The aerospace heat pipe placement module is used to place the aerospace heat pipe to be tested in an aerospace heat pipe test chamber built based on the actual aerospace environment, and to introduce a hot fluid containing tracer gas into the aerospace heat pipe to be tested.

[0009] The heat pipe segmentation and detection module is used to divide the aerospace heat pipe to be detected into several aerospace heat pipe segments according to the placement status, and to collect infrared thermal imaging and tracer gas concentration data of each aerospace heat pipe segment.

[0010] The heat pipe leakage detection module is used to obtain the heat pipe temperature distribution map from the infrared thermal imaging of each aerospace heat pipe section, and to comprehensively determine whether there is a leakage area in each aerospace heat pipe section by combining the heat pipe temperature distribution map with the tracer gas concentration data.

[0011] The heat pipe flaw detection and analysis module is used to detect leaks in each aerospace heat pipe section by using ultrasonic sensors. The module analyzes the acoustic detection results and the heat fluid pressure change data of the aerospace heat pipe section to determine the potential danger index of the aerospace heat pipe section.

[0012] The heat pipe early warning module is used to issue alarms for aerospace heat pipe sections with leakage areas and to provide corresponding level early warnings based on the hazard index of the aerospace heat pipe section.

[0013] A smart leak detection method for aerospace heat pipes includes: S1, placing the aerospace heat pipe to be tested in an aerospace heat pipe test chamber built based on the actual aerospace environment, and introducing a hot fluid containing tracer gas into the aerospace heat pipe to be tested.

[0014] S2. Divide the space heat pipe to be tested into several space heat pipe segments according to the placement status, and collect infrared thermal imaging and tracer gas concentration data of each space heat pipe segment.

[0015] S3. Obtain the heat pipe temperature distribution map from the infrared thermal imaging of each aerospace heat pipe section, and combine the heat pipe temperature distribution map with the tracer gas concentration data to determine whether there is a leakage area in each aerospace heat pipe section.

[0016] S4. When there are no leakage areas in any of the aerospace heat pipe sections, use ultrasonic sensors to detect the aerospace heat pipe sections with sound waves. Analyze the sound wave detection results and the hot fluid pressure change data of the aerospace heat pipe sections to determine the potential danger index of the aerospace heat pipe sections.

[0017] S5. Issue an alarm for aerospace heat pipe sections with leakage areas, and provide corresponding level warnings and reminders based on the hazard index of the aerospace heat pipe sections.

[0018] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention introduces an aerospace heat pipe placement module to place the aerospace heat pipe to be tested in an aerospace heat pipe test chamber built based on the actual aerospace environment, which truly reflects the impact of the complex space environment on the aerospace heat pipe, accurately assesses the risk of heat pipe leakage, reduces the probability of misjudgment of potential hidden dangers, and ensures the normal operation of aerospace facilities in space.

[0019] (2) The present invention introduces a heat pipe leakage determination module to obtain the heat pipe temperature distribution map and the density of the hot fluid containing tracer gas to comprehensively determine whether there is a leakage area in each aerospace heat pipe section, accurately identify the leakage area, comprehensively evaluate the state of the heat pipe, and reduce the occurrence of misjudgment or omission.

[0020] (3) The present invention introduces a heat pipe flaw detection and analysis module, which uses an ultrasonic sensor to conduct acoustic wave detection on the aerospace heat pipe section, and analyzes the acoustic wave detection results with the thermal fluid pressure change data of the aerospace heat pipe section to form a risk index of the aerospace heat pipe section, thereby improving the early warning capability of risk hazards. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of the system module connections of the present invention.

[0023] Figure 2 This is a schematic diagram of the method steps of the present invention.

[0024] Figure 3 This is a schematic diagram illustrating the content analysis of the heat pipe flaw detection and analysis module of the present invention. Detailed Implementation

[0025] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the invention. Furthermore, it should be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale.

[0026] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use. Techniques, methods, and apparatus known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and apparatus should be considered part of the specification.

[0027] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0028] Please see Figure 1 As shown, this invention provides an intelligent leak detection system for aerospace heat pipes, including an aerospace heat pipe placement module, a heat pipe segmentation and detection module, a heat pipe leak determination module, a heat pipe flaw detection and analysis module, and a heat pipe early warning and reminder module. The modules are connected as follows: the aerospace heat pipe placement module and the heat pipe segmentation and detection module are connected; the heat pipe leak determination module is connected to both the heat pipe segmentation and detection module and the heat pipe flaw detection and analysis module; and the heat pipe flaw detection and analysis module is connected to the heat pipe early warning and reminder module.

[0029] The aerospace heat pipe placement module is used to place the aerospace heat pipe to be tested in an aerospace heat pipe test chamber built based on the actual aerospace environment, and to introduce a hot fluid containing tracer gas into the aerospace heat pipe to be tested.

[0030] This invention introduces an aerospace heat pipe placement module to place the aerospace heat pipe to be tested in an aerospace heat pipe test chamber built based on the actual aerospace environment. This realistically reflects the impact of the complex space environment on the aerospace heat pipe, accurately assesses the risk of heat pipe leakage, reduces the probability of misjudging potential hazards, and ensures the normal operation of aerospace facilities in space.

[0031] The heat pipe segmentation and detection module is used to divide the aerospace heat pipe under test into several segments according to its placement status, and to collect infrared thermal images and tracer gas concentration data for each segment. The tracer gas concentration is the volume ratio of the tracer gas to the heat transfer fluid.

[0032] It should be noted that the process of dividing the aerospace heat pipe into several segments based on its placement status is as follows: obtaining the aerospace heat pipe placement pipeline diagram in the aerospace heat pipe test chamber, and dividing the pipeline based on the type and placement status of the aerospace heat pipe in the aerospace heat pipe placement pipeline diagram to form several aerospace heat pipe segments.

[0033] Aerospace heat pipes are categorized into straight and curved sections. The placement of the heat pipe distinguishes between horizontal and non-horizontal sections. Specifically, aerospace heat pipes are classified into four types: horizontal straight section, horizontal curved section, non-horizontal straight section, and non-horizontal curved section.

[0034] The heat pipe leakage detection module is used to obtain the heat pipe temperature distribution map from the infrared thermal imaging of each aerospace heat pipe section, and to comprehensively determine whether there is a leakage area in each aerospace heat pipe section by combining the heat pipe temperature distribution map with the tracer gas concentration data.

[0035] It should be noted that the heat pipe leakage determination module specifically includes the following steps: extracting the outer surface temperature of each aerospace heat pipe segment from infrared thermal imaging images from different angles; generating a heat pipe temperature distribution map based on the location of the corresponding aerospace heat pipe segment based on the outer surface temperature; and performing deviation analysis by combining the heat pipe temperature distribution map with the outer surface temperature of a standard aerospace heat pipe to generate a temperature confidence factor.

[0036] The heat pipe temperature distribution map is generated by extracting infrared temperature sensors at different locations in the aerospace heat pipe test chamber to detect the outer surface temperature of the aerospace heat pipe section from different angles.

[0037] Extract tracer gas concentration data for each aerospace heat pipe section at the same time, and perform absolute difference analysis on the tracer gas concentration data to generate absolute concentration difference.

[0038] Record the temperature confidence factor and absolute concentration difference of each aerospace heat pipe section, compare the temperature confidence factor and absolute concentration difference of each aerospace heat pipe section with the preset temperature confidence factor and absolute concentration difference thresholds, and determine whether there is a leakage area in each aerospace heat pipe section.

[0039] It should be noted that the generation method of the temperature confidence factor and absolute concentration difference includes: selecting the maximum temperature value in the heat pipe temperature distribution map of each aerospace heat pipe segment that exceeds the outer surface temperature of the standard aerospace heat pipe, and recording the ratio of the difference between the temperature value and the outer surface temperature of the standard aerospace heat pipe to the outer surface temperature of the standard aerospace heat pipe to obtain the temperature confidence factor. The larger the difference between the outer surface temperature of the heat pipe and the standard surface temperature, the larger the temperature confidence factor.

[0040] Obtain the tracer gas concentration data of each aerospace heat pipe section, including the inflow and outflow ends, and record the absolute concentration difference between the tracer gas concentration at the outflow end and the tracer gas concentration at the inflow end of each aerospace heat pipe section.

[0041] The specific method for determining whether there is a leakage area in each aerospace heat pipe segment is as follows: based on the temperature and absolute concentration difference of a standard aerospace heat pipe, combined with a preset error standard, a temperature confidence factor range and an absolute concentration difference range are set. When either the temperature confidence factor or the absolute concentration difference of a certain aerospace heat pipe segment exceeds the corresponding set range, the corresponding aerospace heat pipe segment has a leakage area; otherwise, the corresponding aerospace heat pipe segment does not have a leakage area.

[0042] This invention introduces a heat pipe leakage detection module, which obtains the heat pipe temperature distribution map and the density of the hot fluid containing tracer gas to comprehensively determine whether there are leakage areas in each aerospace heat pipe section, accurately identifies leakage areas, comprehensively evaluates the condition of the heat pipe, and reduces the occurrence of misjudgment or omission.

[0043] like Figure 3As shown, the heat pipe flaw detection and analysis module is used to perform acoustic wave detection on the aerospace heat pipe sections using ultrasonic sensors when there are no leakage areas in each section. The acoustic wave detection results are then compared with the thermal fluid pressure change data of the aerospace heat pipe sections to analyze the potential danger index of the aerospace heat pipe sections.

[0044] It should be noted that the heat pipe flaw detection and analysis module specifically includes the following steps: retrieving the acoustic detection results of each aerospace heat pipe segment; extracting the maximum length and depth of each crack and the deformation volume of each aerospace heat pipe segment from the acoustic detection results; performing linear weight analysis based on the maximum length and depth of each crack to generate the degree of crack influence; selecting the maximum length and depth corresponding to the maximum crack influence as representative crack data; and fusing the representative crack data of each aerospace heat pipe segment with the corresponding deformation volume of the aerospace heat pipe segment to generate the ultrasonic flaw detection coefficient of each aerospace heat pipe segment.

[0045] The preset critical values ​​are the maximum acceptable crack length and depth, as well as the maximum deformation volume, obtained from historical data of the measured aerospace heat pipe or industry standards. The method for applying linear weighted analysis to assess the crack impact is as follows: , To determine the degree of impact of cracks, The length of the crack, This represents the maximum depth of the crack. The set critical length of the crack. The set critical depth of the crack. The weights are the crack lengths. The weight is the crack depth. These are the crack length weight and crack depth weight, respectively. The crack length weight and crack depth weight can be set based on industry experience or obtained through a limited number of detection data. For example, first collect the ultrasonic detection data corresponding to the aerospace heat pipe from the ultrasonic detection data, then calculate the correlation coefficient between crack length, crack depth and crack influence degree in the ultrasonic detection data corresponding to the aerospace heat pipe, and use the least squares method to perform linear regression equation analysis to determine the contribution of crack length weight and crack depth weight. Finally, normalize the data to convert the contribution into crack length and crack depth weights, and their sum is 1.

[0046] The hot fluid velocity of each aerospace heat pipe segment is extracted. Local head loss is generated by combining the hot fluid velocity of each aerospace heat pipe segment with the corresponding type of aerospace heat pipe segment. The theoretical value of the pressure difference between the two ends of each aerospace heat pipe segment is generated by combining the local head loss, placement state and hot fluid density of each aerospace heat pipe segment. The pressure at the two ends of each aerospace heat pipe segment at the same time is obtained by differential analysis to obtain the actual value of the pressure difference between the two ends of each aerospace heat pipe. The ratio of the actual pressure difference between the two ends to the theoretical pressure difference between the two ends is analyzed, and the ratio is normalized to obtain the hot fluid pressure difference coefficient of each aerospace heat pipe segment.

[0047] The actual pressure difference between the two ends can be obtained by installing pressure sensors at both ends of each aerospace heat pipe section and calculating the difference. When the heat fluid pressure difference coefficient is greater than 1, it indicates that the pipeline is leaking. To increase the reliability of combining the heat fluid pressure difference coefficient with the ultrasonic flaw detection coefficient, the following will be used... Normalization is performed to generate the thermal fluid pressure difference coefficient, where It is the ratio of the actual pressure difference between the two ends to the theoretical pressure difference between the two ends. It is the coefficient of thermal fluid pressure difference.

[0048] The ultrasonic flaw detection coefficient and the hot fluid pressure difference coefficient of each aerospace heat pipe section are extracted, and the hazard index is obtained by multiplying the ultrasonic flaw detection coefficient and the hot fluid pressure difference coefficient of each aerospace heat pipe section.

[0049] The hazard index, calculated as the product of the ultrasonic flaw detection coefficient and the thermal fluid pressure difference coefficient for each heat pipe section, emphasizes the synergistic effect of the crack length, depth, deformation volume, and internal thermal fluid pressure on the aerospace heat pipe. When either the ultrasonic flaw detection coefficient or the thermal fluid pressure difference coefficient increases while the other decreases, the hazard index of the aerospace heat pipe is relatively low. When both the ultrasonic flaw detection coefficient and the thermal fluid pressure difference coefficient increase, the hazard index of the aerospace heat pipe rises rapidly.

[0050] The ultrasonic flaw detection coefficient is obtained by: analyzing the ratio of the maximum length, depth, and deformation volume of the representative data of each aerospace heat pipe section crack to the preset corresponding critical value, assigning different weights to the ratios, weighting and accumulating them, and generating the ultrasonic flaw detection coefficient through normalization.

[0051] The ultrasonic flaw detection coefficient is: In the formula The weights are the crack lengths. The weights for the maximum crack depth are: The weights for the deformation volume are... The length of the crack, This represents the maximum depth of the crack. For the volume of deformation, The critical volume for deformation. The weights for crack length, crack depth, and deformation volume can be set based on industry experience, which stems from long-term engineering practice. Aerospace engineers, leveraging their understanding of the material physics properties of aerospace heat pipes, calculate the correlation coefficients between crack length, crack depth, deformation volume, and pipe leakage under specific near-Earth orbit conditions, based on past cases of similar heat pipe crack failures. Then, using the least squares method for fitting, such as with crack length as the independent variable and leakage risk as the dependent variable, the degree of impact on leakage is accurately analyzed, thereby determining the weights for crack length, crack depth, and deformation volume, with a total sum of 1.

[0052] It should be noted that aerospace heat pipes made of different materials have different physical properties and therefore require different standards. For example, aerospace heat pipes made of aluminum alloy can be... Set it to 0.6. Set it to 0.25. Set it to 0.15. Set to twice the wall thickness of an aerospace heat pipe. Set at 0.5 times the wall thickness of an aerospace heat pipe. In the formula For the cross-sectional area of ​​the aerospace heat pipe, For aerospace heat pipe wall thickness, This is the yield strain of the material, which can be obtained by looking up a table based on the material composition.

[0053] The theoretical value of the pressure difference between the two ends of each aerospace heat pipe segment is obtained by: obtaining the height difference between the inflow end and the outflow end of the corresponding aerospace heat pipe segment based on the placement state of each aerospace heat pipe segment, and combining the height difference between the two ends with the heat fluid density and gravitational acceleration to generate a height pressure difference.

[0054] The pressure difference at varying heights is: In the formula The density of the heat transfer fluid inside the aerospace heat pipe. It is the acceleration due to gravity. The height of the outflow end of each aerospace heat pipe section. This refers to the height of the inflow end of each aerospace heat pipe section.

[0055] The bending angle and radius of curvature ratio of each aerospace heat pipe segment are obtained to evaluate the local resistance coefficient of the corresponding aerospace heat pipe segment. The local resistance coefficient is combined with the flow velocity of the hot fluid and the gravitational acceleration to generate the local head loss. The local head loss is combined with the density of the hot fluid and the gravitational acceleration to generate the resistance pressure difference.

[0056] The local head loss is as follows: In the formula For the local head loss of each aerospace heat pipe section, in the formula... The local drag coefficient is determined by retrieving the corresponding type of aerospace heat pipe standard from the aerospace heat pipe database based on the type of aerospace heat pipe section. The flow rate of the heat transfer fluid inside the aerospace heat pipe. This is the acceleration due to gravity.

[0057] The resistance pressure difference is: The local head loss increases with the degree of obstruction to flow by the local structure of the aerospace heat pipe, resulting in a corresponding increase in resistance pressure.

[0058] The theoretical value of the pressure difference between the two ends of the corresponding aerospace heat pipe section is obtained by summing the pressure difference at the height and the pressure difference at the resistance of each aerospace heat pipe section.

[0059] This invention introduces a heat pipe flaw detection and analysis module, which uses ultrasonic sensors to perform acoustic wave detection on aerospace heat pipe sections. The acoustic wave detection results are combined with the thermal fluid pressure change data of the aerospace heat pipe sections to analyze the hazard index of the aerospace heat pipe sections, thereby improving the early warning capability of hazards.

[0060] The heat pipe early warning module is used to issue alarms for aerospace heat pipe sections with leakage areas and to provide corresponding level early warnings based on the hazard index of the aerospace heat pipe section.

[0061] The specific content of the heat pipe early warning and reminder module includes: matching the hazard index of each aerospace heat pipe segment with the preset hazard index range of each hazard level to obtain the hazard level of each aerospace heat pipe segment, and issuing corresponding level early warning and reminder based on the hazard level.

[0062] Furthermore, the various hazard levels can be set as Level 1, Level 2, and Level 3. If the hazard index of a certain aerospace heat pipe segment is within the range corresponding to Level 1, then the hazard level of that aerospace heat pipe segment is Level 1, and a low-risk warning is issued, indicating that the aerospace heat pipe can be used normally. If the hazard index of a certain aerospace heat pipe segment is within the range corresponding to Level 2, then the hazard level of that aerospace heat pipe segment is Level 2, and a medium-risk warning is issued, indicating that the aerospace heat pipe needs to be used with caution. If the hazard index of a certain aerospace heat pipe segment is within the range corresponding to Level 3, then the hazard level of that aerospace heat pipe segment is Level 3, and a high-risk warning is issued, indicating that the aerospace heat pipe cannot be used.

[0063] like Figure 2 As shown, a smart leak detection method for aerospace heat pipes is described below: S1, the aerospace heat pipe to be tested is placed in an aerospace heat pipe test chamber built based on the actual aerospace environment, and a hot fluid containing tracer gas is introduced into the aerospace heat pipe to be tested.

[0064] S2. Divide the space heat pipe to be tested into several space heat pipe segments according to the placement status, and collect infrared thermal imaging and tracer gas concentration data of each space heat pipe segment.

[0065] S3. Obtain the heat pipe temperature distribution map from the infrared thermal imaging of each aerospace heat pipe section, and combine the heat pipe temperature distribution map with the tracer gas concentration data to determine whether there is a leakage area in each aerospace heat pipe section.

[0066] S4. When there are no leakage areas in any of the aerospace heat pipe sections, use ultrasonic sensors to detect the aerospace heat pipe sections with sound waves. Analyze the sound wave detection results and the hot fluid pressure change data of the aerospace heat pipe sections to determine the potential danger index of the aerospace heat pipe sections.

[0067] S5. Issue an alarm for aerospace heat pipe sections with leakage areas, and provide corresponding level warnings and reminders based on the hazard index of the aerospace heat pipe sections.

[0068] This invention combines the actual usage environment of aerospace heat pipes and segments them according to their type and placement. By comprehensively analyzing the temperature and tracer gas concentration of each aerospace heat pipe segment, it determines whether there are any leakage areas in each segment. At the same time, it combines the ultrasonic flaw detection coefficient and the hot fluid pressure difference coefficient to generate a hazard index to assess the hazard level of each aerospace heat pipe segment and generate usage recommendations, thus achieving precise and refined leak detection of aerospace heat pipes.

[0069] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0070] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0071] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0072] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0073] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0074] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An intelligent leak detection system for aerospace heat pipes, characterized in that, include: The aerospace heat pipe placement module is used to place the aerospace heat pipe to be tested in an aerospace heat pipe test chamber built based on the actual aerospace environment, and to introduce a hot fluid containing tracer gas into the aerospace heat pipe to be tested. The heat pipe segmentation and detection module is used to divide the aerospace heat pipe to be detected into several aerospace heat pipe segments according to the placement status of the aerospace heat pipe, and to collect infrared thermal imaging and tracer gas concentration data of each aerospace heat pipe segment. The heat pipe leakage detection module is used to obtain the heat pipe temperature distribution map from the infrared thermal imaging of each aerospace heat pipe section, and to comprehensively determine whether there is a leakage area in each aerospace heat pipe section by combining the heat pipe temperature distribution map with the tracer gas concentration data. The heat pipe flaw detection and analysis module is used to perform acoustic wave detection on the aerospace heat pipe sections using ultrasonic sensors when there are no leakage areas in each aerospace heat pipe section. The acoustic wave detection results are combined with the heat fluid pressure change data of the aerospace heat pipe section to analyze the hazard index of the aerospace heat pipe section. The heat pipe early warning module is used to issue alarms for aerospace heat pipe sections with leakage areas and to provide corresponding level early warnings based on the hazard index of the aerospace heat pipe section. The specific contents of the heat pipe flaw detection and analysis module include: The acoustic detection results of each aerospace heat pipe segment are retrieved. The maximum length and depth of each crack and the deformation volume of each aerospace heat pipe segment are extracted from the acoustic detection results. Linear weight analysis is performed based on the maximum length and depth of each crack to generate the degree of crack influence. The maximum length and depth corresponding to the maximum degree of crack influence are selected as the representative data of crack. The representative data of cracks of each aerospace heat pipe segment are fused with the corresponding deformation volume of the aerospace heat pipe segment to generate the ultrasonic flaw detection coefficient of each aerospace heat pipe segment. The hot fluid velocity of each aerospace heat pipe segment is extracted. Local head loss is generated by combining the hot fluid velocity of each aerospace heat pipe segment with the corresponding type of aerospace heat pipe segment. The theoretical value of the pressure difference between the two ends of each aerospace heat pipe segment is generated by combining the local head loss, placement state and hot fluid density of each aerospace heat pipe segment. The pressure at the two ends of each aerospace heat pipe segment at the same time is obtained and the difference is analyzed to obtain the actual value of the pressure difference between the two ends of each aerospace heat pipe segment. The ratio of the actual pressure difference between the two ends to the theoretical pressure difference between the two ends is analyzed. The ratio is normalized to obtain the hot fluid pressure difference coefficient of each aerospace heat pipe segment. The ultrasonic flaw detection coefficient and the hot fluid pressure difference coefficient of each aerospace heat pipe section are extracted, and the hazard index is obtained by multiplying the ultrasonic flaw detection coefficient and the hot fluid pressure difference coefficient of each aerospace heat pipe section. The ultrasonic flaw detection coefficient is obtained as follows: The ratio analysis of the maximum length, depth and deformation volume of the representative data of cracks in each aerospace heat pipe section to the preset critical value is performed. The ratios are assigned different weights and weighted and accumulated, and then normalized to generate ultrasonic flaw detection coefficients. Will Normalization is performed to generate the thermal fluid pressure difference coefficient, where It is the ratio of the actual pressure difference between the two ends to the theoretical pressure difference between the two ends. It is the coefficient of thermal fluid pressure difference.

2. The aerospace heat pipe intelligent leak detection system according to claim 1, characterized in that: The specific method for dividing the aerospace heat pipe into several segments based on its placement state is as follows: Obtain the aerospace heat pipe placement pipeline diagram in the aerospace heat pipe test chamber, and divide the pipeline based on the type and placement status of the aerospace heat pipes in the aerospace heat pipe placement pipeline diagram to form several aerospace heat pipe segments.

3. The aerospace heat pipe intelligent leak detection system according to claim 1, characterized in that: The specific contents of the heat pipe leakage detection module include: The outer surface temperature of each aerospace heat pipe segment is extracted from infrared thermal imaging images from different angles. A heat pipe temperature distribution map is generated based on the location of the corresponding aerospace heat pipe segment according to the outer surface temperature. The temperature distribution map is combined with the outer surface temperature of a standard aerospace heat pipe to perform deviation analysis and generate a temperature confidence factor. Extract tracer gas concentration data from each aerospace heat pipe section at the same time, and perform absolute difference analysis on the tracer gas concentration data to generate absolute concentration difference; Record the temperature confidence factor and absolute concentration difference of each aerospace heat pipe section, compare the temperature confidence factor and absolute concentration difference of each aerospace heat pipe section with the preset temperature confidence factor and absolute concentration difference thresholds, and determine whether there is a leakage area in each aerospace heat pipe section. The temperature confidence factor is generated in the following ways: The maximum temperature value exceeding the standard aerospace heat pipe outer surface temperature is selected from the heat pipe temperature distribution map of each aerospace heat pipe segment. The temperature confidence factor is obtained by recording the ratio of the difference between the temperature value and the standard aerospace heat pipe outer surface temperature to the standard aerospace heat pipe outer surface temperature.

4. The aerospace heat pipe intelligent leak detection system according to claim 3, characterized in that: The absolute concentration difference is generated in the following ways: Obtain the tracer gas concentration data of each aerospace heat pipe section, including the inflow and outflow ends, and record the absolute concentration difference between the tracer gas concentration at the outflow end and the tracer gas concentration at the inflow end of each aerospace heat pipe section.

5. The aerospace heat pipe intelligent leak detection system according to claim 3, characterized in that: The specific method for determining whether there are leak areas in each aerospace heat pipe section is as follows: Based on the temperature and absolute concentration difference of a standard aerospace heat pipe, combined with preset error standards, the temperature confidence factor range and absolute concentration difference range are set. When either the temperature confidence factor or the absolute concentration difference of a certain aerospace heat pipe segment exceeds the corresponding set range, the corresponding aerospace heat pipe segment has a leakage area. Conversely, the corresponding aerospace heat pipe segment does not have a leakage area.

6. The aerospace heat pipe intelligent leak detection system according to claim 1, characterized in that: The theoretical value of the pressure difference at both ends of each aerospace heat pipe section is obtained as follows: Based on the placement status of each aerospace heat pipe segment, the height difference between the inflow and outflow ends of the corresponding aerospace heat pipe segment is obtained, and the height difference at both ends is combined with the heat fluid density and gravitational acceleration to generate a height pressure difference; The bending angle and radius of curvature ratio of each aerospace heat pipe segment are obtained to evaluate the local drag coefficient of the corresponding aerospace heat pipe segment. The local drag coefficient is combined with the flow velocity of the hot fluid and the gravitational acceleration to generate the local head loss. The local head loss is combined with the density of the hot fluid and the gravitational acceleration to generate the drag pressure difference. The theoretical value of the pressure difference between the two ends of the corresponding aerospace heat pipe section is obtained by summing the pressure difference at the height and the pressure difference at the resistance of each aerospace heat pipe section.

7. The intelligent leak detection system for aerospace heat pipes according to claim 1, characterized in that: The specific content of the heat pipe early warning module includes: The hazard index of each aerospace heat pipe section is matched with the preset hazard index range of each hazard level to obtain the hazard level of each aerospace heat pipe section, and corresponding level warning reminders are issued based on the hazard level.

8. A method for intelligent leak detection of aerospace heat pipes, comprising the following steps performed by an intelligent leak detection system for aerospace heat pipes as described in any one of claims 1-7, characterized in that, include: S1. Place the aerospace heat pipe to be tested in an aerospace heat pipe test chamber built based on the actual aerospace environment, and introduce a hot fluid containing tracer gas into the aerospace heat pipe to be tested. S2. Divide the aerospace heat pipe to be tested into several aerospace heat pipe segments according to the placement status, and collect infrared thermal imaging and tracer gas concentration data of each aerospace heat pipe segment. S3. Obtain the heat pipe temperature distribution map from the infrared thermal imaging of each aerospace heat pipe section, and combine the heat pipe temperature distribution map with the tracer gas concentration data to determine whether there is a leakage area in each aerospace heat pipe section. S4. When there are no leakage areas in any of the aerospace heat pipe sections, use ultrasonic sensors to detect the aerospace heat pipe sections with acoustic waves. Analyze the acoustic wave detection results and the hot fluid pressure change data of the aerospace heat pipe sections to determine the risk index of the aerospace heat pipe sections. S5. Issue an alarm for aerospace heat pipe sections with leakage areas, and provide corresponding level warnings and reminders based on the hazard index of the aerospace heat pipe sections.

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