Multi-temperature sealing performance detection method, system, device, equipment and storage medium

Abstract

This disclosure provides a method, system, apparatus, equipment, and storage medium for multi-temperature sealing performance testing, relating to the field of sealing testing technology, particularly temperature environment simulation and environmental reliability testing. It can be used in applications such as hardware development and verification, vehicle camera testing, and autonomous driving hardware testing. The specific solution is as follows: Responding to at least two selected simulation scenarios, the detection temperature corresponding to each simulation scenario is determined based on a correspondence; responding to the input target pressure difference, the target gauge pressure corresponding to each detection temperature is determined; according to the detection temperature, the product under test is placed in the corresponding detection medium, and negative pressure testing is performed on the product under test according to the corresponding target gauge pressure to obtain leakage characterization information; based on the leakage characterization information, a temperature-sealing status table of the product under test is generated, and the sealing performance result of the product under test is determined. This solution can identify temperature-sensitive critical failure products.

Description

Technical Field

[0001] This disclosure relates to the field of sealing test technology, particularly to the fields of temperature environment simulation and environmental reliability testing, and can be used in application scenarios such as hardware development and verification, vehicle camera testing and autonomous driving hardware testing. Specifically, it relates to multi-temperature sealing performance testing methods, systems, devices, equipment and storage media. Background Technology

[0002] Currently, automotive cameras are widely used in vehicle perception systems, and their sealing performance directly affects image quality and system reliability. Existing sealing quality control for automotive cameras typically includes visual inspection of seals during assembly, positive pressure airtightness testing during the production line, and negative pressure bubble detection, which can be combined with image anomaly monitoring methods during actual vehicle operation for failure identification. However, existing airtightness testing solutions lack the capability to detect temperature-sensitive products at critical failure points. Summary of the Invention

[0003] This disclosure provides a method, system, device, equipment, and storage medium for testing sealing performance at multiple temperatures.

[0004] According to a first aspect of this disclosure, a multi-temperature sealing performance testing method is provided, comprising: responding to at least two selected simulation scenarios, determining a detection temperature corresponding to each simulation scenario according to a preset correspondence; responding to an input target pressure difference, determining a target gauge pressure corresponding to each detection temperature; placing the product under test in a corresponding detection medium according to the detection temperature, and performing negative pressure testing on the product under test according to the corresponding target gauge pressure, thereby obtaining leakage characterization information of the product under test at each detection temperature; determining the sealing state at each detection temperature based on the leakage characterization information, generating a temperature-sealing state table for the product under test, and determining the sealing performance result of the product under test based on the temperature-sealing state table.

[0005] According to a second aspect of this disclosure, a multi-temperature sealing performance testing system is provided, comprising: multiple testing containers disposed on a testing platform for containing testing media; a support mechanism for supporting the product under test and immersing the product under test in the testing media of any testing container; a negative pressure assembly for bringing the internal environment of the testing containers to a corresponding target gauge pressure for negative pressure testing of the product under test; an image acquisition assembly for acquiring image data and / or video data of the product under test during the negative pressure testing process to obtain leakage characterization information; and a control unit connected to the testing containers, the support mechanism, the negative pressure assembly, and the image acquisition assembly for: In response to at least two selected simulation scenarios, the system determines the detection temperature corresponding to each simulation scenario based on a preset correspondence. In response to the input target pressure difference, it determines the target gauge pressure corresponding to each detection temperature. Based on the detection temperature, the system places the product under test in the corresponding detection medium and performs negative pressure testing on the product under test according to the corresponding target gauge pressure to obtain leakage characterization information of the product under test at each detection temperature. Based on the leakage characterization information, the system determines the sealing state at each detection temperature, generates a temperature-sealing state table for the product under test, and determines the sealing performance result of the product under test based on the temperature-sealing state table.

[0006] According to a third aspect of this disclosure, a multi-temperature sealing performance testing device is provided, comprising: a temperature determination module, configured to determine a test temperature corresponding to each of the selected at least two simulated scenarios according to a preset correspondence; a gauge pressure determination module, configured to determine a target gauge pressure corresponding to each test temperature in response to an input target pressure difference; a negative pressure detection module, configured to place the product under test in a corresponding test medium according to the test temperature, and perform negative pressure testing on the product under test according to the corresponding target gauge pressure, thereby obtaining leakage characterization information of the product under test at each test temperature; and a result generation module, configured to determine the sealing state at each test temperature based on the leakage characterization information, generate a temperature-sealing state table for the product under test, and determine the sealing performance result of the product under test based on the temperature-sealing state table.

[0007] According to a fourth aspect of this disclosure, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform any of the methods described in the embodiments of this disclosure.

[0008] According to a fifth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are used to cause the computer to perform any of the methods according to embodiments of this disclosure.

[0009] According to a sixth aspect of this disclosure, a computer program product is provided, including a computer program that, when executed by a processor, implements any of the methods according to embodiments of this disclosure.

[0010] Using the scheme disclosed herein, it is possible to identify the changing patterns of the sealing state of the product under test at multiple temperature points, thereby discovering temperature-sensitive products at critical failure.

[0011] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0012] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein: Figure 1 This is a schematic flowchart of a multi-temperature sealing performance testing method according to an embodiment of the present disclosure; Figure 2 This is a schematic diagram of the structure of a multi-temperature sealing performance testing system according to an embodiment of the present disclosure; Figure 3 This is a schematic diagram of the arrangement of tooling fixtures and image acquisition components according to an embodiment of the present disclosure; Figure 4 This is another structural schematic diagram of the multi-temperature sealing performance testing system according to an embodiment of the present disclosure; Figure 5 This is a schematic diagram of the structure of a plurality of detection containers according to embodiments of the present disclosure; Figure 6 This is a schematic diagram illustrating the relationship between vacuum degree and temperature according to an embodiment of the present disclosure; Figure 7 This is a schematic diagram of the structure of a multi-temperature sealing performance testing device according to an embodiment of the present disclosure; Figure 8 This is a schematic diagram of a scenario for a multi-temperature sealing performance testing method according to an embodiment of the present disclosure; Figure 9 This is a structural diagram of an electronic device used to implement the multi-temperature sealing performance testing method of the embodiments of this disclosure. Detailed Implementation

[0013] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0014] Before introducing the technical solutions of the embodiments of this disclosure, the technical terms that may be used in this disclosure will be further explained: Negative pressure testing refers to a method of testing the sealing performance of a component by reducing the external environmental pressure of the component under test or creating a negative pressure difference between the inside and outside of the component under test, so that the leakage path can be revealed under the action of the pressure difference.

[0015] Most existing testing methods operate under single, ambient temperature conditions, making it difficult to reflect the true sealing performance of automotive cameras under low-temperature, high-temperature, and temperature cycling conditions, and thus unable to assess their adaptability to a wide temperature range. Furthermore, existing positive pressure testing differs from the stress state under actual failure conditions. Positive pressure conditions may compress the housing and sealing interface, while real vehicles may experience internal negative pressure or structural tension under temperature differences and rain conditions, causing products that pass the ambient temperature positive pressure test to fail due to water ingress under actual operating conditions. Moreover, existing technologies typically only output a binary conclusion of pass or fail, making it difficult to identify temperature-sensitive critical failure products that are temporarily passable at ambient temperature but leak under specific temperature conditions. Therefore, the lack of a multi-temperature sealing performance evaluation method suitable for R&D verification, material selection, tolerance analysis, failure reproduction, and consistency assessment makes it difficult to identify and quantify temperature adaptability defects in automotive camera sealing structures during the design phase.

[0016] In order to at least partially solve one or more of the above-mentioned problems and other potential problems, this disclosure proposes a multi-temperature sealing performance testing method, which can identify the sealing state change pattern of the product under test at multiple temperature points, thereby discovering temperature-sensitive critical failure products.

[0017] This disclosure provides a method for testing sealing performance at multiple temperatures. Figure 1 This is a flowchart illustrating a multi-temperature sealing performance testing method according to an embodiment of the present disclosure. This method can be applied to a multi-temperature sealing performance testing device. The multi-temperature sealing performance testing device is located in an electronic device. This electronic device includes, but is not limited to, fixed devices and / or mobile devices. For example, fixed devices include, but are not limited to, servers, which can be cloud servers or ordinary servers. Mobile devices include, but are not limited to, hardware testing devices, which can be mobile phones, tablets, etc. In some possible implementations, the multi-temperature sealing performance testing method can also be implemented by a processor calling computer-readable instructions stored in memory. Figure 1 As shown, the multi-temperature sealing performance testing method includes: S101. In response to at least two selected simulation scenarios, determine the detection temperature corresponding to each simulation scenario according to a preset correspondence.

[0018] S102. In response to the input target pressure difference, determine the target gauge pressure corresponding to each detection temperature.

[0019] S103. According to the detection temperature, place the product to be tested in the corresponding detection medium, and perform negative pressure detection on the product to be tested according to the corresponding target gauge pressure to obtain leakage characterization information of the product to be tested at each detection temperature.

[0020] S104. Based on the leakage characterization information, determine the sealing status at each test temperature, generate a temperature-sealing status table for the product under test, and determine the sealing performance result of the product under test based on the temperature-sealing status table.

[0021] Here, the simulated scenario refers to a pre-set test scenario that reflects the environment or operating conditions that the product under test may experience during actual use. The preset correspondence refers to the pre-established mapping rules between scenario parameters and detection parameters, including at least the correspondence between the simulated scenario and the corresponding detection temperature.

[0022] In this embodiment, the user can first select at least two scenarios to be simulated from a preset scenario library. The scenario library stores multiple typical operating conditions corresponding to the actual use environment of the vehicle-mounted camera. Then, the scenario parameters corresponding to the selected scenarios can be read, and the detection temperature corresponding to each scenario can be automatically determined according to a preset correspondence. Specifically, detection conditions such as the constant temperature holding time, allowable temperature deviation, and detection sequence associated with the detection temperature can also be retrieved simultaneously.

[0023] Here, target differential pressure refers to the pressure difference value set to simulate the internal and external pressure difference that the product under test may experience in a target scenario, reflecting the pressure difference state established between the inside and outside of the product under test during the testing process. Target gauge pressure refers to the pressure value that the testing equipment needs to apply relative to the external atmospheric pressure at a specific testing temperature. It can be expressed in the form of negative gauge pressure, that is, by creating a testing environment lower than atmospheric pressure through vacuuming.

[0024] In this embodiment, a unified target pressure difference input by the user can be obtained first, or the corresponding target pressure difference parameters can be automatically invoked according to the selected simulation scenario. Then, the target gauge pressure to be applied at each detection temperature is calculated and determined by combining the initial state parameters of the product under test, the detection temperature, and the detection environment pressure conditions. For example, the negative pressure value or gauge pressure value that the detection chamber should reach at the detection temperature can be calculated based on the gas state change relationship, the pressure change of the gas sealed inside the product under test at different temperatures, and the internal and external pressure difference requirements corresponding to the target scenario, and the calculation result is used as the target gauge pressure.

[0025] Here, the detection medium refers to the medium used to support the product under test and assist in the manifestation of leaks. It can be a liquid medium that is stable at the corresponding detection temperature, or other fluid media can be used depending on the detection requirements. Leak characterization information refers to detection information that reflects whether the product under test has a leak and the extent of the leak.

[0026] In this embodiment, the product under test is first placed in a detection medium matching the detection temperature, and a constant temperature device is used to bring the detection medium and the product under test to a predetermined temperature equilibrium state. Subsequently, the detection environment containing the product under test is adjusted to a target gauge pressure, creating a target pressure difference between the inside and outside of the product. During the period of negative pressure maintenance, the leakage behavior of the product under test at that temperature point is obtained using visual observation, industrial camera acquisition, image recognition algorithms, or other sensing detection methods. For example, if the product under test has a leakage channel, the internal gas will escape from the leakage point under the action of the pressure difference, forming observable bubbles or other abnormal phenomena in the detection medium, thereby extracting the corresponding leakage characterization information.

[0027] In this embodiment, leakage characterization information obtained at each detection temperature can be analyzed, and the sealing state of the product under test at each detection temperature can be determined according to pre-set judgment rules. Furthermore, after determining the state at each temperature point, the detection temperature can be correlated with the corresponding sealing state to generate a temperature-sealing state table for the product under test. The overall sealing performance of the product under test can then be determined based on this table, such as whether it meets the full-temperature-range sealing requirements, whether there is a high-temperature sensitive leak, a low-temperature sensitive leak, or a temperature-sensitive critical failure.

[0028] The technical solution of this disclosure can transform the different temperature and differential pressure conditions that the product under test may experience during actual use into a standardized and executable testing process. This allows the test results to identify the changing patterns of the sealing state of the product under test at multiple temperature points, and in particular, to identify temperature-sensitive critical failure products that pass the test at room temperature but leak under specific high or low temperature conditions. Simultaneously, by generating a temperature-sealing state table, it can provide a basis for product design verification, material selection, tolerance optimization, failure reproduction, and quality assessment, improving the consistency between sealing tests and actual operating conditions, and enhancing the pre-development identification capabilities.

[0029] In some embodiments, in response to at least two selected scenarios to be simulated, the detection temperature corresponding to each scenario to be simulated is determined according to a preset correspondence relationship, including: obtaining the correspondence relationship; the correspondence relationship includes the detection temperature corresponding to each preset scenario type, the preset scenario types include at least extreme low temperature, normal low temperature, normal temperature, normal high temperature and extreme high temperature; and determining N corresponding detection temperatures from the correspondence relationship based on the N selected scenarios to be simulated; where N is not less than 2 and N is a positive integer.

[0030] Here, the preset scenario type refers to several standardized temperature condition categories that are pre-defined and divided to simulate different temperature environments that the product under test may experience during actual use. Among them, extreme low temperature can be used to characterize the severe cold operation scenario in winter, normal low temperature can be used to characterize the common environment in spring and autumn, normal temperature can be used to characterize the ambient temperature baseline scenario, normal high temperature can be used to characterize the high temperature in summer, heat generation during operation, etc., and extreme high temperature can be used to characterize the extreme high temperature scenario such as exposure to sunlight and heat accumulation inside the cabin.

[0031] In this embodiment of the disclosure, the corresponding relationship can be obtained from a database, parameter configuration table, or test file. The corresponding relationship stores the target detection temperature corresponding to each preset scene type. For example, a lower detection temperature range or a fixed low temperature value can be set for extreme low temperature, another detection temperature higher than the extreme low temperature can be set for normal low temperature, a room temperature detection temperature can be set for normal temperature, and incrementally increasing high temperature detection temperatures can be set for normal high temperature and extreme high temperature, respectively.

[0032] In this embodiment, after receiving N selected simulation scenarios, each scenario can be identified and its corresponding preset scenario type extracted. Here, N is not less than 2 and is a positive integer to ensure that the detection covers at least two different temperature dimensions, thereby enabling comparative analysis of the product's temperature adaptability. Next, a correspondence relationship can be invoked, and based on the preset scenario type corresponding to each selected simulation scenario, the matching detection temperature can be found and determined one by one from the correspondence relationship, thus obtaining N corresponding detection temperatures. Furthermore, while determining the detection temperature, auxiliary control parameters such as the holding time, allowable temperature deviation, temperature switching sequence, and detection priority can be simultaneously determined so that the subsequent detection equipment can execute a complete temperature control process.

[0033] In this way, the actual use environment can be transformed into standardized testing conditions. At the same time, it can overcome the limitations of single-point testing at room temperature and compare the sealing performance of the product under test under different temperature conditions. This is beneficial for identifying potential leakage risks or critical failure problems with temperature-sensitive characteristics.

[0034] In some embodiments, in response to an input target pressure difference, determining a target gauge pressure corresponding to each detection temperature includes: acquiring the current ambient air pressure and the saturated vapor pressure of the detection medium at each detection temperature; determining a target absolute pressure based on the target pressure difference and the current ambient air pressure; comparing the target absolute pressure with the saturated vapor pressure, and determining the target gauge pressure based on the comparison result.

[0035] Here, the current ambient pressure refers to the actual atmospheric pressure in the environment where the detection device is located during the detection process. Saturated vapor pressure refers to the pressure value corresponding to the vapor of the detection medium when it is in a gas-liquid equilibrium state. When the absolute pressure in the detection environment is lower than the saturated vapor pressure of the detection medium at the detection temperature, the detection medium is prone to boiling and generating non-leakage bubbles, which can interfere with the negative pressure detection results.

[0036] In this embodiment, the current ambient air pressure can be acquired in real time by a pressure sensor installed on the detection equipment, or it can be provided by an external meteorological module, a factory environmental monitoring system, or calibrated standard atmospheric pressure parameters. The saturated vapor pressure of the detection medium at each detection temperature can be obtained by querying or calculating based on a preset physical property data table, empirical formula, equation of state, or medium database.

[0037] In this embodiment of the disclosure, the current ambient air pressure can be used as the external reference pressure, and the absolute pressure value that the target detection chamber should reach during the detection process can be calculated by combining the target pressure difference. For example, in a scenario where the pressure difference is established using a negative pressure method, the target absolute pressure can be obtained by subtracting the target pressure difference from the current ambient air pressure.

[0038] In this embodiment of the disclosure, the target absolute pressure can be compared with the saturated vapor pressure of the detection medium at the detection temperature, and the target gauge pressure can be determined based on the comparison result. For example, the target gauge pressure can be corrected based on the comparison result, such as adjusting the target absolute pressure to be no lower than the saturated vapor pressure or no lower than the pressure value corresponding to the saturated vapor pressure plus a preset safety margin, and recalculating the executable target gauge pressure accordingly. This ensures that the detection process meets the target pressure difference requirement as much as possible while avoiding interference from abnormal conditions of the detection medium on the detection results.

[0039] In this way, the target pressure setting can be dynamically corrected based on the actual detection environment and the physical properties of the medium, which can improve the accuracy and consistency of the detection pressure setting under different detection conditions. At the same time, by comparing the target absolute pressure with the saturated vapor pressure, the problems of vaporization, gas evolution, or false bubbles in the detection medium caused by excessively low negative pressure can be effectively avoided, thereby reducing misjudgments and interference.

[0040] In some embodiments, comparing the target absolute pressure with the saturated vapor pressure and determining the target gauge pressure based on the comparison result includes: when the target absolute pressure is greater than the saturated vapor pressure, determining the target gauge pressure based on the target pressure difference; when the target absolute pressure is less than or equal to the saturated vapor pressure, determining the target gauge pressure based on the saturated vapor pressure and a preset safety pressure difference.

[0041] In this embodiment of the disclosure, when the target absolute pressure is greater than the saturated vapor pressure, the current ambient air pressure can be used as the gauge pressure conversion reference, and the target gauge pressure to be applied by the detection device can be calculated based on the target pressure difference.

[0042] In this embodiment of the disclosure, when the target absolute pressure is less than or equal to the saturated vapor pressure, the target gauge pressure can be re-determined based on the saturated vapor pressure and a preset safety pressure difference. The preset safety pressure difference can be understood as an additional pressure margin reserved on top of the saturated vapor pressure. Further, the saturated vapor pressure at the detection temperature can be added to the preset safety pressure difference to obtain a corrected minimum permissible absolute pressure, which is then used as the target absolute pressure for the actual detection at that temperature. Subsequently, combined with the current ambient pressure, this target absolute pressure is converted into the target gauge pressure required by the detection equipment.

[0043] This approach avoids issues like vaporization, gas evolution, or false bubbling of the detection medium caused by simply pursuing the target pressure difference, effectively reducing interference from unrealistic leakage signals on the detection results. Furthermore, when the target absolute pressure is higher than the saturated vapor pressure, detection can be performed directly based on the target pressure difference, ensuring the accuracy of the simulation of the target operating condition and balancing the realism and stability of the detection process.

[0044] In some embodiments, based on the detection temperature, the product under test is placed in the corresponding detection medium, and negative pressure testing is performed on the product under test according to the corresponding target gauge pressure to obtain leakage characterization information of the product under test at each detection temperature. This includes: determining the type of detection medium based on the detection temperature and adjusting the temperature of the detection medium to the detection temperature; immersing the product under test in the detection medium corresponding to any detection temperature; adjusting the detection environment carrying the product under test and the detection medium under negative pressure to make the detection environment reach the corresponding target gauge pressure; maintaining the target gauge pressure for a preset time and collecting leakage characterization information at the current detection temperature; immersing the product under test in the detection medium corresponding to another detection temperature, and performing negative pressure testing on the product under test according to the corresponding target gauge pressure until leakage characterization information of the product under test at each detection temperature is obtained.

[0045] In this embodiment, for different detection temperatures, the appropriate medium type can be selected based on the medium's stability, transparency, fluidity, saturated vapor pressure characteristics, and its effectiveness in revealing leakage phenomena at that temperature. For example, at lower temperatures, a detection liquid that is not prone to freezing or has a suitable viscosity can be selected; at higher temperatures, a liquid medium with good thermal stability and easy observation of bubbles can be selected. After determining the medium type, the temperature of the detection medium is adjusted using a constant temperature bath, heating device, cooling device, or temperature control circulation system, and the medium temperature is monitored in real time by a temperature sensor to ensure it stabilizes at the current detection temperature. Specifically, a preset temperature equilibrium time can be maintained to ensure a stable and uniform heat exchange environment between the product under test and the detection medium.

[0046] In this embodiment, the product to be tested can be fixed by a clamp, hanger, tray, or positioning fixture, so that the area to be tested of the product can be fully immersed in the test medium. In particular, a settling time can be set after immersion to reduce internal gas volume fluctuations and transient bubbling caused by the temperature difference between the product and the medium.

[0047] In this embodiment, the testing environment carrying the product under test and the testing medium can be regulated under negative pressure to bring the testing environment to the corresponding target gauge pressure. Specifically, the testing environment can be a sealed testing chamber, a vacuum chamber, a negative pressure container, or a testing cavity with pressure regulation capability. Vacuum pumps, evacuation pipelines, pressure regulating valves, pressure controllers, and pressure sensors are used to evacuate the testing environment and perform closed-loop pressure control, gradually reducing the pressure within the testing environment until it reaches the target gauge pressure corresponding to the current testing temperature.

[0048] In this embodiment, the preset duration can be set according to the product's structural characteristics, expected leakage level, characteristics of the detection medium, and accuracy requirements to ensure that even minor leaks have sufficient time to manifest in the detection medium. During the pressure holding stage, the product under test can be monitored through manual visual observation, continuous acquisition by industrial cameras, video surveillance, image recognition algorithms, or other sensing detection methods to collect characterization information related to leakage.

[0049] In this embodiment of the disclosure, the temperature points can be switched sequentially according to a preset detection order, for example, from low temperature to high temperature step by step, or from high temperature to low temperature or in a random order.

[0050] This allows the product under test to undergo negative pressure sealing tests at different temperature conditions, matching the target operating conditions, thereby improving the consistency between the testing conditions and the actual usage environment. It also effectively identifies temperature-sensitive leaks that only occur under specific temperature conditions, interface failures caused by material thermal expansion and contraction, and minor leaks in structural components under different thermal states.

[0051] In some embodiments, the types of detection media include at least: antifreeze detection media and room temperature detection media; determining the type of detection media based on the detection temperature includes: when the detection temperature is less than or equal to a preset temperature, determining the type of detection media as antifreeze detection media; when the detection temperature is greater than the preset temperature, determining the type of detection media as room temperature detection media.

[0052] Here, antifreeze testing media refers to testing media that can remain liquid at low temperatures, possess appropriate fluidity, and support stable leakage detection, such as aqueous solutions containing antifreeze components, or mixtures of ethylene glycol or propylene glycol. Room temperature testing media refers to media that exhibit good stability, transparency, and leakage detection capabilities at room or high temperatures, such as water or other standard testing solutions.

[0053] In this embodiment, the detection temperature can be compared with a preset temperature. When the detection temperature is less than or equal to the preset temperature, it is determined that the current detection is under low-temperature conditions, and the detection medium is identified as an antifreeze detection medium. Subsequently, an appropriate antifreeze detection medium can be selected and adjusted to the detection temperature. Finally, the product to be tested is immersed in the antifreeze detection medium.

[0054] In this embodiment, when the detection temperature is higher than the preset temperature, it is determined that the current detection does not fall under a condition with a significant risk of low-temperature freezing, and the detection medium is identified as a room-temperature detection medium. At this time, a suitable room-temperature detection medium can be selected and adjusted to the detection temperature. Finally, the product to be tested is immersed in the room-temperature detection medium.

[0055] In this way, the appropriate detection medium can be selected under different temperature conditions, effectively avoiding problems such as freezing, decreased fluidity, or false detection caused by using ordinary media during low-temperature detection, and also avoiding the unnecessary use of antifreeze media under non-low-temperature conditions.

[0056] In some embodiments, maintaining a preset time at the target gauge pressure and collecting leakage characterization information at the current detection temperature includes: collecting image data and / or video data of the product under test during the preset time; performing bubble identification on the image data and / or video data to obtain bubble identification results; the bubble identification results include at least one of bubble position, bubble number, and bubble duration; and determining leakage characterization information based on the bubble identification results.

[0057] In this embodiment, during the pressure holding stage, the product under test immersed in the detection medium can be continuously observed, and image and / or video data of the product under test can be acquired over a preset time period. Exemplarily, industrial cameras, high-speed cameras, underwater cameras, supplementary lighting components, and image synchronization acquisition units can be used to acquire image and / or video data. The arrangement positions can be set according to the structural characteristics and key detection areas of the product under test, ensuring that the critical sealing areas of the product under test are within a clearly visible imaging range. In particular, multiple cameras can be used in a coordinated shooting manner to cover different observation angles, thereby reducing identification errors caused by obstruction, reflection, or bubble drift.

[0058] Here, bubble location refers to the spatial position or area of ​​the bubble relative to the product under test, used to characterize where the bubble escapes from the product under test. Bubble quantity refers to the number of bubbles identified within a preset time period, which can be the instantaneous number of bubbles at a certain moment or the total number of bubbles that appear cumulatively during the entire detection period. Bubble duration refers to the length of time a bubble continues to exist, or the duration of continuous appearance of bubbles at a certain location.

[0059] In this embodiment of the disclosure, bubble recognition can be achieved through image processing algorithms, machine vision models, or deep learning recognition models. For example, the acquired raw image can first be preprocessed, and then suspected bubble targets can be identified using detection methods such as circular feature extraction, moving target detection, connected component analysis, time series tracking, or neural networks. The identified bubbles can then be confirmed and their trajectories associated. Specifically, for continuous video data, the generation, rising, aggregation, and dissipation of bubbles can be dynamically tracked by combining the changes between adjacent frames to distinguish between real leaking bubbles and non-leaking bubbles.

[0060] In this embodiment, if bubbles are repeatedly detected appearing at a fixed location on the product under test, and exhibit continuity or repetition over a certain period of time, this location can be identified as a suspected leak site, and the information of this location can be output as part of the leak characterization information. If the number of identified bubbles exceeds a preset threshold within a preset time period, it can be considered that the product under test has a relatively obvious leakage trend under the current detection temperature and target gauge pressure. If the bubble duration is long or bubbles continuously emerge in a certain area, it can indicate that the leak channel at that location is relatively stable, and the leak is highly reliable. Conversely, if only sporadic, short-lived bubbles without a fixed location are identified, they can be judged as environmental disturbances or occasional noise based on filtering rules, and are not considered as valid evidence of leakage. Finally, one or more of the features of bubble location, bubble quantity, and bubble duration can be combined to form the leak characterization information at the current detection temperature.

[0061] Thus, by introducing bubble position parameters, suspected leak areas can be located more accurately. By introducing bubble number and bubble duration parameters, stable leaks and occasional disturbances can be more effectively distinguished, reducing the risk of misjudgment and missed judgment.

[0062] In some embodiments, bubble recognition is performed on image data and / or video data to obtain bubble recognition results, including: inputting image data and / or video data into a pre-trained recognition model; outputting a suspected leakage area and the recognition confidence level corresponding to the suspected leakage area by the recognition model; and determining the bubble recognition result based on the suspected leakage area and the recognition confidence level.

[0063] Here, the identification model refers to an algorithmic model that analyzes and processes the image data and / or video data generated by the product under test during the negative pressure testing process, and automatically identifies signs of bubbles or leaks.

[0064] In this embodiment of the disclosure, image data and / or video data acquired during the negative pressure detection process can first be input into a pre-trained recognition model. For example, the image data can be a single frame image, a continuous image sequence, or a detection image acquired at a specific time point, and the video data can be a continuously recorded video stream during the pressure holding phase.

[0065] Here, a suspected leakage area refers to a region in image and / or video data where the identification model detects the presence of bubbles, persistent bubbling, abnormal local disturbances, or other suspected leakage characteristics. Identification confidence refers to the quantitative representation of the degree of credibility or certainty that the identification model has regarding its output results; it can be expressed as a probability value, score, weight value, or normalized index.

[0066] In this embodiment of the disclosure, the recognition model can extract features from local regions of an image during operation. Furthermore, for video data, the recognition model can also utilize temporal information to analyze the changing trends of target regions in consecutive frames to identify dynamic behaviors such as continuous bubbling, periodic bubbling, and bubble trajectories drifting upwards from a fixed point. After completing the analysis, the model can output one or more suspected leakage areas, and simultaneously provide a corresponding recognition confidence score for each suspected leakage area to indicate the degree of confidence that the area is identified as a bubble region related to leakage.

[0067] In this embodiment, a confidence threshold can be preset. When the confidence level of a suspected leakage area is higher than the threshold, the area is identified as a valid bubble area. When the confidence level is lower than the threshold, it can be identified as a low-confidence target and further eliminated, temporarily stored for review, or re-evaluated based on information from adjacent frames.

[0068] In this way, the reliability of the identification results can be quantitatively evaluated, and the number, duration and positional stability of bubbles can be further analyzed by combining continuous frame information. This is conducive to improving the ability to identify minute leaks, enhancing the traceability and convenience of verification of the detection results, and making the leakage judgment of the product under test more accurate under multi-temperature negative pressure detection conditions.

[0069] In some embodiments, determining the bubble identification result based on the suspected leakage area and the identification confidence level includes: outputting a manual review prompt when the identification confidence level is lower than a preset threshold; obtaining the manual review result; and determining the bubble identification result based on the manual review result.

[0070] In this embodiment of the disclosure, the manual review prompt can be output through the detection terminal interface, display screen, alarm light, software pop-up window, task queue marker or detection report, etc., to remind the operator that the current identification result is uncertain and needs to be manually reviewed.

[0071] Here, the manual review result refers to the judgment result formed by manually reviewing, analyzing, and confirming the image data, video data, or model annotation results of the corresponding suspected leakage area when the identification confidence level is lower than the preset threshold.

[0072] In this embodiment of the disclosure, the reviewer can visually assess the suspected leak area based on image data and / or video data, analyze whether a leak has occurred in the area, and determine the result of the manual review. If the manual review result indicates that the suspected leak area corresponds to a real bubble or a real leak, then the area is identified as a valid bubble area, and its corresponding location, quantity, duration, or other characteristic information is included in the final bubble identification result. If the manual review result indicates that the area does not belong to a real leaking bubble, but is due to noise interference, medium disturbance, or other non-leakage factors, then the area is not output as a valid bubble identification result.

[0073] In this way, a manual verification mechanism can be introduced on top of automatic recognition, effectively compensating for the uncertainty that the recognition model may have in low-confidence scenarios and reducing the risk of misjudgment and missed judgment caused by reflection, liquid disturbance, background noise, or occasional bubbles. At the same time, by setting preset thresholds, the model's recognition results can be graded, allowing high-confidence results to be automatically and quickly judged, while low-confidence results enter the manual review process, thus balancing detection efficiency and judgment accuracy.

[0074] In some embodiments, after obtaining the manual review result, the method further includes: associating and storing the manual review result with the corresponding image data and / or video data to generate incremental training samples; performing incremental training on the recognition model based on the incremental training samples, and using the incrementally trained recognition model as the recognition model.

[0075] In this embodiment, the manual review results can be matched one-to-one with the corresponding original image data and / or video data to establish a correlation. Subsequently, the newly added labeled data can be organized into incremental training samples. Specifically, for video data, temporal annotations can be performed on consecutive frames based on the manual review results, enabling the model to learn the appearance, persistence, rising, and disappearance characteristics of real leaking bubbles during the dynamic process; while for image data, classification labels, detection box labels, or pixel-level segmentation labels can be generated based on the manual confirmation results.

[0076] In this embodiment of the disclosure, when incrementally training the recognition model based on incremental training samples, training can continue based on the original recognition model parameters. For example, the currently deployed recognition model can be used as the initial model, and incremental training samples can be input into the training framework to update the relevant parameters in the model. Once the incrementally trained recognition model passes the verification conditions, it is used as the recognition model for subsequent online bubble recognition tasks involving image data and / or video data.

[0077] In this way, the high-quality judgment experience formed by manual review can be continuously fed back into the model update process, thereby enabling the recognition model to have the ability to improve itself and continuously optimize.

[0078] In some embodiments, when the type of detection medium changes, the method further includes cleaning and drying the surface of the product to be tested before immersing it in a detection medium corresponding to another detection temperature.

[0079] In this embodiment of the disclosure, when the detection process requires multiple immersion tests at different detection temperatures, and the type of detection medium used in two adjacent tests changes, to avoid interference from the residue of the previous detection medium on the results of the subsequent test, the surface of the product to be tested is cleaned and dried before immersing it in a detection medium corresponding to another detection temperature. For example, after completing the negative pressure holding test, image acquisition, or leakage determination in the current detection medium, the product to be tested can be removed from the current detection medium, and one or more of the following can be selected for cleaning: a spray assembly, an immersion tank, an ultrasonic auxiliary device, a brushing assembly, or a circulating filter unit, based on the structural characteristics of the product to be tested and the adhesion characteristics of the previous detection medium. Further, after cleaning, compressed air, clean dry gas, hot air, a room temperature air knife, or a multi-angle jet assembly can be used to blow away the surface of the product to be tested and its local structural areas. In particular, to ensure the drying effect, time control, air pressure control, surface moisture detection, or image detection methods can be used to confirm whether the surface of the product to be tested has reached a predetermined dry state.

[0080] In this way, residual and attached bubbles, impurity particles and surface water film of the previous detection medium can be effectively removed, preventing cross-contamination between different detection media or interference with subsequent imaging quality, bubble identification results and leakage judgment results, thereby improving the accuracy, consistency and repeatability of detection results under multi-media and multi-temperature detection conditions.

[0081] In some embodiments, the sealing state at each detection temperature is determined based on leakage characterization information, and a temperature-sealing state table of the product under test is generated. This includes: determining the sealing state of the product under test at the corresponding detection temperature based on leakage characterization information and preset judgment conditions; establishing the correlation between each detection temperature and the corresponding sealing state based on the sealing state at each detection temperature, and generating a temperature-sealing state table of the product under test.

[0082] Here, the sealing status refers to the judgment result or status category of the sealing performance of the product under test under the test conditions corresponding to a certain test temperature, which is used to reflect whether the sealing of the product under test meets the preset requirements in that temperature environment.

[0083] In this embodiment, the preset judgment conditions can be pre-stored in the detection control system or judgment rule base, and their content can be set according to product design requirements, quality standards, process specifications, or historical statistical data. The judgment conditions can be a single threshold condition or a combination of multiple parameters. For example, when the number of bubbles detected at a certain detection temperature is zero, or although there is a local suspicious area but it does not meet the effective leakage judgment standard, the sealing state at that detection temperature can be determined as normal sealing; when a small number of bubbles are detected, the bubble duration is short and does not exceed the allowable range, it can be determined as a minor leak or risk warning state; when the number of bubbles, duration, frequency of occurrence, or stability of the leak area reaches or exceeds the preset abnormal standard, the sealing state at the corresponding detection temperature can be determined as abnormal leakage or sealing failure.

[0084] Here, the temperature-sealing status table refers to a structured result table formed by associating multiple test temperatures with their corresponding sealing states. It is used to intuitively reflect the changes in the sealing performance of the product under test at different test temperatures, thereby characterizing the response characteristics of the product's sealing performance to temperature changes.

[0085] In this embodiment of the disclosure, after determining the sealing state at each detection temperature, each detection temperature and its corresponding sealing state can be organized one-to-one according to the detection temperature from low to high, from high to low, or according to the actual detection order, to form a structured temperature-sealing state table.

[0086] In this way, leakage identification results scattered in different temperature detection processes can be transformed into structured judgment results, which can intuitively reflect the changes in the sealing performance of the product under test under different temperature conditions.

[0087] In some embodiments, the leakage characterization information includes at least one of bubble location, bubble quantity, and bubble duration; based on the leakage characterization information and preset judgment conditions, the sealing state of the product under test at the corresponding detection temperature is determined, including: when bubbles are continuously generated at the same location, or the number of bubbles reaches a preset quantity threshold, or the bubble duration reaches a preset duration threshold, the sealing state at the corresponding detection temperature is determined to be a sealing failure; when bubbles are not continuously generated at the same location, and the number of bubbles does not reach the preset quantity threshold, and the bubble duration does not reach the preset duration threshold, the sealing state at the corresponding detection temperature is determined to be a good seal.

[0088] In this embodiment, the surface of the product under test can be divided into multiple monitoring areas, or the location of bubble occurrence can be determined based on a coordinate system, and the occurrence of bubbles at each location can be tracked in continuous image frames. When a bubble is repeatedly detected at a certain location at multiple consecutive time points, multiple consecutive image frames, or within a set observation window, and the bubble source point is always concentrated in the same local area or fluctuates within the allowable deviation range, it can be determined that bubbles are generated at the same location. Furthermore, the number of bubbles can be compared with a preset number threshold. If the total number of valid bubbles identified within a detection cycle reaches or exceeds a certain threshold, it is considered that the product under test has an excessive number of bubbles at that detection temperature. Even further, the duration of bubbles can be compared with a preset duration threshold. If the duration of bubbles at a certain location reaches or exceeds the preset duration threshold, it is considered that the product under test has bubbles persisting at that detection temperature.

[0089] In this embodiment of the disclosure, if the product under test has bubbles generated at the same location, or the number of bubbles exceeds the standard, or the bubbles remain at any one of these conditions at the detection temperature, it indicates that the product under test is not experiencing an occasional instantaneous disturbance at the detection temperature, but is more likely to be a stable leakage phenomenon caused by a defect in the sealing structure. The sealing state at the corresponding detection temperature is then determined as a sealing failure.

[0090] In this embodiment of the disclosure, if the product under test does not generate bubbles at the same location and does not exceed the limit in the number of bubbles and does not retain bubbles at the test temperature, it indicates that the product under test is qualified in terms of sealing at the test temperature, and the sealing state at the corresponding test temperature is determined to be good sealing.

[0091] In this way, leakage behavior can be comprehensively characterized from three dimensions: spatial location, frequency of occurrence, and duration characteristics, thereby avoiding missed or false judgments caused by relying on a single indicator and improving the accuracy and robustness of sealing status determination.

[0092] In some embodiments, determining the sealing performance result of the product under test based on the temperature-sealing status table includes: determining the sealing performance category of the product under test based on the temperature-sealing status table; the sealing performance category includes at least one of full-temperature range qualified, high-temperature sensitive failure, medium-low temperature sensitive failure, and full-temperature range failure; determining the sealing performance conclusion based on the sealing performance category; and determining the sealing performance result based on the sealing performance category and the sealing performance conclusion.

[0093] In this embodiment, the temperature-sealing status table can be traversed, and the temperatures in the table can be divided into zones to obtain at least one of a high-temperature zone and a medium-low temperature zone. When the sealing status corresponding to each detection temperature is good, the sealing performance category is determined to be qualified across the entire temperature range. When the sealing status corresponding to at least one detection temperature in the high-temperature zone is a sealing failure, and the sealing status corresponding to the medium-low temperature zone is a good seal, the sealing performance category is determined to be a high-temperature sensitive failure. When the sealing status corresponding to at least one detection temperature in the medium-low temperature zone is a sealing failure, and the sealing status corresponding to the high-temperature zone is a good seal, the sealing performance category is determined to be a medium-low temperature sensitive failure. When the sealing status corresponding to at least one detection temperature in the high-temperature zone is a sealing failure, and the sealing status corresponding to at least one detection temperature in the medium-low temperature zone is a sealing failure, the sealing performance category is determined to be a failure across the entire temperature range. In particular, the classification results can be further refined by combining the first occurrence point of the failure temperature, the failure temperature coverage range, the length of the continuous failure interval, and the severity of the failure, so as to improve the classification accuracy.

[0094] In this embodiment of the disclosure, when the sealing performance category is qualified across the entire temperature range, a sealing performance conclusion of "good sealing" can be output; when the sealing performance category is high-temperature sensitive failure, a sealing performance conclusion of "poor high-temperature sealing" can be output; when the sealing performance category is medium-low temperature sensitive failure, a sealing performance conclusion of "poor medium-low temperature sealing" can be output; and when the sealing performance category is failure across the entire temperature range, a sealing performance conclusion of "poor sealing" can be output.

[0095] In this embodiment, the sealing performance results can be represented in the form of structured result items or in a simplified result form. Specifically, corresponding processing suggestions or workflow actions can be automatically added based on the sealing performance category. For example, when the classification result is "qualified across the entire temperature range," the product is allowed to enter the subsequent factory process; when the classification result is "high-temperature sensitive failure," a prompt is made to check the high-temperature material performance of the sealing ring and consider replacing it with a high-temperature resistant material; when the classification result is "medium-low temperature sensitive failure," a prompt is made to check the low-temperature glass transition temperature of the sealing ring and adjust the material formulation; when the classification result is "failure across the entire temperature range," a prompt is made that the sealing structure design has a fundamental defect and needs to be redesigned.

[0096] In this way, local judgment information dispersed at different detection temperatures can be transformed into a comprehensive evaluation result for the overall performance of the product, thereby revealing the temperature-sensitive distribution pattern of leakage.

[0097] This disclosure provides a multi-temperature sealing performance testing system. Figure 2 This is a schematic diagram of the structure of a multi-temperature sealing performance testing system according to an embodiment of the present disclosure, as shown below. Figure 2 As shown, the multi-temperature sealing performance testing system includes: Multiple detection containers 201 are disposed on the detection platform 200 to contain the detection medium 202; The carrier mechanism 203 is used to carry the product to be tested and immerse the product to be tested into the detection medium 202 in any of the detection containers 201; The negative pressure component 204 is used to bring the internal environment of the test container 201 to the corresponding target gauge pressure so as to perform negative pressure testing on the product under test. Image acquisition component 205 is used to acquire image data and / or video data of the product under test during the negative pressure testing process to obtain leakage characterization information; The control unit 206, connected to the detection container 201, the support mechanism 203, the negative pressure component 204, and the image acquisition component 205, is used for: responding to at least two selected simulation scenarios, determining the detection temperature corresponding to each simulation scenario according to a preset correspondence; responding to the input target pressure difference, determining the target gauge pressure corresponding to each detection temperature; placing the product under test in the corresponding detection medium according to the detection temperature, performing negative pressure detection on the product under test according to the corresponding target gauge pressure, and obtaining leakage characterization information of the product under test at each detection temperature; determining the sealing state at each detection temperature based on the leakage characterization information, generating a temperature-sealing state table for the product under test, and determining the sealing performance result of the product under test based on the temperature-sealing state table.

[0098] In this embodiment, multiple detection containers 201 are installed at predetermined positions on the detection platform 200, and each detection container 201 is used to contain a detection medium 202. The detection medium 202 can be water, oil, liquid containing developing components, or other media suitable for immersion-type sealing detection. To adapt to multi-temperature detection requirements, the detection medium 202 in different detection containers 201 can be maintained within different temperature ranges, thereby corresponding to different simulation scenarios. Each detection container 201 can be equipped with an independent temperature control component, a liquid level detection component, and a media circulation component to ensure the temperature stability, liquid cleanliness, and liquid level consistency of the detection medium inside the container.

[0099] In this embodiment, the carrier mechanism 203 can be used to fix the product under test, preventing it from shaking, shifting, or changing its posture during immersion and testing. It can also be used to switch and transfer the product under test between multiple testing containers 201 or to adjust the orientation of the product under test according to its structural characteristics, so that the key testing area is oriented towards the image acquisition component 205. Further, the control unit 206 sends control commands to the carrier mechanism 203 according to a pre-set testing process, causing the carrier mechanism 203 to sequentially feed the product under test into the testing containers 201 at corresponding temperatures in a set order, maintaining a predetermined immersion depth and testing posture.

[0100] In this embodiment, the negative pressure assembly includes independent vacuum lines connected to each detection container, and control valves disposed on each independent vacuum line for adjusting the negative pressure of each detection container. The negative pressure assembly 204 is connected to the selected detection container 201 and, under the control of the control unit 206, performs evacuation treatment on the space above the detection container 201 or the entire sealed space of the container, so that the internal pressure of the container drops to the target gauge pressure.

[0101] In this embodiment, to improve the ability to identify microbubbles, the image acquisition component 205 can employ high-resolution imaging and combine optical methods to enhance the contrast between the bubble and the background. During the detection process, when the product under test is immersed and under negative pressure, the image acquisition component 205 continuously acquires image frames or continuous video of key areas of the product under test. In particular, for products under test with complex structures or many detection surfaces, the image acquisition component 205 can also adopt a multi-view camera arrangement to reduce visual obstruction and improve the coverage of leakage points.

[0102] In this embodiment, the control unit 206 is connected to the detection container 201, the support mechanism 203, the negative pressure component 204, and the image acquisition component 205. Specifically, the control unit 206 can first respond to at least two selected simulation scenarios and determine the detection temperature corresponding to each simulation scenario according to a preset correspondence. Subsequently, the control unit 206 responds to the input target pressure difference, determines the target gauge pressure corresponding to each detection temperature, and sends it to the negative pressure component 204 for execution. Based on this, the control unit 206, according to the determined detection temperature, schedules the support mechanism 203 to place the product under test into the corresponding detection medium 202, and controls the negative pressure component 204 to perform negative pressure detection on the product under test one by one according to the corresponding target gauge pressure. At the same time, it controls the image acquisition component 205 to synchronously acquire image data and / or video data during the detection process, thereby obtaining leakage characterization information of the product under test at each detection temperature. Furthermore, the control unit 206 also performs rule-based judgment on information such as bubble position, bubble quantity, and bubble duration extracted at each detection temperature. For example, when bubbles are continuously generated at the same location, or the number of bubbles reaches a preset threshold, or the duration of the bubbles reaches a preset duration threshold, the control unit 206 can determine the sealing status at the corresponding detection temperature as a sealing failure; when none of the above abnormal conditions occur, the sealing status at the corresponding detection temperature can be determined as a good seal. Then, the control unit 206 establishes a correlation between each detection temperature and its corresponding sealing status, forming a temperature-sealing status table. Based on this table, the control unit 206 further analyzes the state distribution characteristics of the product under test in different temperature zones, determines its sealing performance category according to preset classification rules, and then outputs a sealing performance conclusion based on the corresponding category, ultimately forming a complete sealing performance result.

[0103] The technical solution of this disclosure can realize continuous and automated sealing performance testing of the product under test in various temperature scenarios. At the same time, it can transform local leakage phenomena at different temperatures into comprehensive evaluation results for overall product performance and effectively identify the product's sensitive failure modes at high temperatures, low temperatures or the entire temperature range.

[0104] In some embodiments, the detection container includes: a receiving cavity, a temperature sensor, and a temperature control unit; the receiving cavity is used to contain the detection medium; the temperature sensor is used to detect the temperature of the detection medium; the temperature control unit is used to adjust the temperature of the detection medium, including a heating unit and / or a cooling unit; the control unit controls the temperature control unit according to the temperature information collected by the temperature sensor, so as to maintain the detection medium at the corresponding detection temperature.

[0105] In this embodiment, the receiving cavity can be made of a material that is corrosion-resistant, temperature-resistant, and has high mechanical strength, such as stainless steel, engineering plastics, composite materials, or metal materials with anti-corrosion coatings, to adapt to different types of detection media and repeated heating and cooling operations. The shape and size of the receiving cavity can be designed according to the external dimensions of the product under test, immersion depth requirements, and image acquisition needs, ensuring that the product under test maintains sufficient liquid coverage and observation space after entering the receiving cavity. In particular, the receiving cavity can also be equipped with a media circulation channel or a stirring auxiliary structure to promote uniform temperature distribution of the detection medium.

[0106] In this embodiment, the temperature sensor can be one or more of the following forms: thermocouple, thermistor, platinum resistance temperature sensor, digital temperature probe, etc. It can be positioned at a predetermined location within the cavity, such as near the detection area of ​​the product under test, near the liquid flow path of the heating or cooling unit, or multiple temperature detection points can be set to obtain more comprehensive medium temperature information. During the detection process, the temperature sensor continuously collects the temperature information of the detected medium and transmits the collected temperature information to the control unit, enabling the control unit to monitor the temperature change status of the detected medium in real time.

[0107] In this embodiment, the temperature control unit may include a heating unit and / or a cooling unit. The heating unit may take the form of an electric heating element, a heating plate, a heating film, a circulating hot water heat exchange structure, etc.; the cooling unit may take the form of a compressor cooling structure, a semiconductor cooling module, a cooling coil, a refrigerant heat exchange structure, etc. In particular, in order to improve temperature regulation efficiency and uniformity, the temperature control unit may also work in conjunction with a medium circulation pump, a stirrer, or a heat exchange circulation channel to keep the detection medium flowing or circulating slowly, thereby reducing local overheating and overcooling phenomena.

[0108] In this embodiment, the control unit can pre-store detection temperature parameters corresponding to different simulated scenarios. When a detection container is selected for corresponding temperature detection, the control unit uses the detected temperature as the target value and continuously receives real-time temperature information from the temperature sensor. Furthermore, the control unit compares the current temperature with the target temperature. When the temperature of the detection medium is lower than the lower limit of the target temperature, the control unit controls the heating unit to operate; when the temperature of the detection medium is higher than the upper limit of the target temperature, the control unit controls the cooling unit to operate; when the temperature of the detection medium is within the allowable error range, the control unit maintains the current state or maintains temperature stability through low-power compensation adjustment.

[0109] In some implementations, when a seal test at a specific detection temperature is required, the control unit first initiates the temperature control process of the corresponding test container based on the target detection task. The temperature sensor continuously monitors the actual temperature of the test medium within the container cavity and feeds this temperature information back to the control unit. Based on the feedback, the control unit controls the heating and / or cooling units in the temperature control unit to gradually bring the test medium to the target detection temperature. Once the test medium temperature reaches a preset temperature range and remains stable for a predetermined time, the control unit determines that the test container meets the detection conditions. Subsequently, it controls the carrier mechanism to immerse the product under test into the test medium within the test container, and then, in conjunction with the negative pressure assembly and image acquisition assembly, performs subsequent negative pressure detection and leakage information acquisition. During the detection process, the temperature sensor continues to monitor the temperature, while the control unit continues to adjust the temperature control unit to compensate for temperature fluctuations caused by the product entering the test medium, environmental heat exchange, or the negative pressure detection process, thereby ensuring the stability of the test medium temperature throughout the entire detection period. After the detection is completed, the control unit can also switch to the corresponding test container according to the temperature requirements of the next detection task, or continue to adjust the temperature control status of the current test container for subsequent detection.

[0110] This allows the detection medium to be stably maintained at the corresponding detection temperature, thus providing an accurate and consistent temperature detection environment for the product under test and reducing detection errors caused by medium temperature fluctuations, local temperature differences, or environmental interference. It also adapts to the detection needs of different temperature zones, enabling rapid establishment and stable maintenance of the detection temperature.

[0111] In some embodiments, the carrying mechanism includes: a tooling fixture and a lifting mechanism; the tooling fixture is used to hold the product to be tested; the lifting mechanism is used to drive the tooling fixture to lift; the lifting mechanism is configured to drive the tooling fixture to carry the product to be tested into or out of the testing medium.

[0112] In this embodiment of the disclosure, the tooling fixture may adopt one or more of the following forms: mechanical clamping structure, elastic pressing structure, snap-fit ​​limiting structure, adjustable spacing structure, or vacuum adsorption assisted positioning structure, in order to adapt to the clamping requirements of different models of products to be tested.

[0113] In this embodiment, the lifting mechanism drives the tooling fixture to move vertically, thereby moving the product under test into or out of the testing medium. Specifically, to ensure the smoothness of the lifting action and the repeatability of the positioning accuracy, the lifting mechanism can decelerate when descending near the liquid surface and maintain a constant speed during entry into the testing medium, avoiding violent liquid fluctuations, interference from attached air bubbles, or changes in the posture of the product under test due to excessive speed.

[0114] In this embodiment, when the control unit issues a corresponding command, the lifting mechanism drives the tooling fixture to move downward from the initial waiting position, causing the tooling fixture to gradually bring the product under test closer to the surface of the detection medium in the detection container. Once the product under test contacts the liquid surface, the lifting mechanism continues to move downward at a preset speed and preset stroke until the product under test is completely or partially immersed in the detection medium as required, and stops at the target detection position. After the product under test reaches the target immersion depth, the lifting mechanism can maintain its current position to cooperate with the negative pressure component and image acquisition component to perform subsequent negative pressure detection and leakage information acquisition. After the detection is completed, the control unit sends a lifting command to the lifting mechanism, which then drives the tooling fixture and the product under test to rise vertically, gradually removing the product from the detection medium and returning it to the pick-up / placement position or transfer position, preparing it for detection at the next detection temperature or subsequent cleaning and drying processes.

[0115] This allows the position, orientation, and immersion depth of the product under test to remain highly consistent during the testing process. It also facilitates automated control of the immersion and removal of the product under test, improves the consistency of repeated testing, and effectively reduces the risks of liquid surface disturbance, container collision, and product detachment.

[0116] In some embodiments, the image acquisition component includes industrial cameras respectively disposed in the observation area of ​​each detection container; each industrial camera is used to continuously acquire image data and / or video data of the product under test in the corresponding detection container within a preset time period.

[0117] In this embodiment of the disclosure, the image acquisition component includes industrial cameras respectively disposed in the observation area of ​​each detection container. Each industrial camera is used to continuously acquire image data and / or video data of the product to be tested in the corresponding detection container within a preset time period. Figure 3 This diagram illustrates the arrangement of the tooling fixtures and image acquisition components in an embodiment of this disclosure, as shown below. Figure 3 As shown, the tooling fixtures can be arranged in single rows, double rows, or in a circular pattern. To ensure the observation angle of the image acquisition components, at least two industrial cameras can be selected for observation. By setting the industrial cameras in the observation areas of each testing container, each testing container can have independent image acquisition capabilities, thereby enabling visual monitoring of the leakage status of the product under test in different testing containers.

[0118] In some implementations, each testing container may have an observation area corresponding to the internal testing area on its side wall, top, or tilted above it. This observation area can be a transparent window area, an imaging opening area, or an unobstructed observation area, ensuring that the industrial camera can clearly capture the state of the product under test immersed in the testing medium. The industrial camera can be fixedly mounted on a testing platform, camera bracket, or external mounting base of the testing container, with its lens facing the target observation area of ​​the corresponding testing container. The installation position, shooting angle, focal length range, and field of view of the industrial camera can be pre-adjusted according to the dimensions of the product under test, the key testing areas, and the structure of the testing container, so that the critical sealing parts, leak-prone areas, or overall outline of the product under test are within an optimal imaging range.

[0119] This enables stable, real-time, and targeted recording of leak phenomena across multiple detection stations. Simultaneously, it fully preserves the dynamic process of bubble generation and change, facilitating the accurate extraction of leak characterization information such as bubble location, quantity, and duration.

[0120] In some embodiments, the system further includes a cleaning and drying assembly; the cleaning and drying assembly is used to clean and dry the surface of the product to be tested when the type of the detection medium changes.

[0121] In this embodiment of the present disclosure, the cleaning and drying assembly may include a cleaning unit and a drying unit, wherein the cleaning unit is used to remove the previous detection medium, impurity particles or residual liquid film adhering to the surface of the product to be tested, and the drying unit is used to remove the cleaning liquid and residual moisture from the surface of the product to be tested after cleaning.

[0122] In some implementations, the control unit can pre-store the type information of the detection media corresponding to different detection containers, and after the product under test completes the detection in a certain detection container, it determines whether the type of detection media to be entered into the next detection container has changed. When the control unit determines that the type of detection media has changed, the control unit issues a transfer command to the carrier mechanism, causing the carrier mechanism to first remove the product under test from the current detection container and then move it to the station where the cleaning and drying assembly is located. After the product under test arrives at the cleaning station, the cleaning unit starts working, spraying, rinsing or other forms of cleaning treatment on the surface of the product under test to remove the original detection media residue; after cleaning, the drying unit dries the surface. When the control unit confirms that drying is complete according to preset time, airflow parameters or sensor feedback, it then controls the carrier mechanism to send the product under test into the next detection container to perform subsequent sealing performance tests under different types of detection media.

[0123] In this way, the adhesion residue of the previous test medium on the surface of the product to be tested can be effectively removed, avoiding cross-introduction and mutual interference between different test media. At the same time, it helps to ensure that the product to be tested has a relatively consistent surface state and test conditions before entering the next test container, thereby improving the comparability and repeatability of test results between different media and different temperatures.

[0124] In some embodiments, the multi-temperature sealing performance testing device includes a testing platform, multiple testing containers, a support mechanism, a negative pressure component, an image acquisition component, a cleaning and drying component, a control unit, and an auxiliary analysis module. The multiple testing containers are arranged in a straight line, and can be five independent containers, corresponding to testing temperatures of -20℃, 10℃, 30℃, 50℃, and 70℃ respectively. Each testing container can be a transparent square container with an observation area on the front to collect image information of the product under test during the testing process.

[0125] Specifically, each testing container holds the testing liquid and has a temperature control structure at the bottom. This structure includes a heating and / or cooling unit, a temperature sensor, and a corresponding proportional-integral-differential (PID) controller to maintain the testing liquid in each container at its designated temperature, with a temperature control accuracy of ±0.5℃. For containers at -20℃, a 50% ethylene glycol aqueous solution can be used as the antifreeze testing medium; for containers at other temperatures, purified water can be used as the room-temperature testing medium. The support mechanism includes a clamp for holding the vehicle-mounted camera and a lifting mechanism. The lifting mechanism drives the clamp to move the vehicle-mounted camera into or out of the testing liquid. The clamps within the containers can be arranged in a single row, staggered double rows, or a circular arrangement, depending on imaging requirements, to reduce obstruction and facilitate bubble observation.

[0126] Furthermore, each testing container is equipped with an independent negative pressure component, including a vacuum pump, pressure sensor, and PID controller, used to regulate the negative pressure inside the corresponding testing container to achieve the target gauge pressure. Each testing container has an industrial camera installed in its observation area; high-resolution industrial cameras can be used to continuously acquire image and / or video data of the product under test within a preset time period. The control unit is connected to the testing container, the supporting mechanism, the negative pressure component, and the image acquisition component, used to control the temperature, negative pressure, and image acquisition process at each testing station, and to summarize and output the test results.

[0127] Specifically, the system also includes a cleaning and drying assembly, which is located on the detection path, after the low-temperature detection container. This assembly is used to spray and dry the surface of the product to be tested when the type of detection medium changes, preventing cross-residue between different detection liquids from affecting subsequent test results. The system can also be equipped with a central control console and a touch screen display for parameter setting, process monitoring, result display, and manual verification.

[0128] In some implementations, the control unit can first control the detection liquid in each detection container to reach a preset temperature. After the temperature stabilizes, the vehicle camera to be tested is immersed in the detection liquid in its corresponding detection container via a support mechanism. Subsequently, the control unit activates the corresponding negative pressure component to apply negative pressure to the detection container and maintain it for a preset time. At -20℃, 10℃, 30℃, and 50℃, the gauge pressure inside the detection container can be controlled at -80kPa, corresponding to a pressure difference of 80kPa; at 70℃, to prevent the detection liquid from boiling, the gauge pressure can be controlled at -66kPa, the absolute pressure can be 35kPa, and the corresponding pressure difference is 66kPa. The negative pressure maintenance time can be 30 seconds.

[0129] Furthermore, during the pressure holding process, an industrial camera continuously acquires image and / or video data of the product under test to observe the presence and persistence of air bubbles. After the test is completed, the test results at each temperature point are recorded, generating a temperature-leakage status table. Based on this temperature-leakage status table, the control unit determines the sealing adaptability of the vehicle-mounted camera under test in different temperature scenarios, such as determining it as normal sealing, high-temperature sensitive failure, low-temperature sensitive failure, or all-temperature range failure.

[0130] In some implementations, the auxiliary analysis module is connected to the image acquisition component and control unit. It can be implemented based on a deep learning model to perform real-time identification of image and / or video data acquired by industrial cameras, automatically marking suspicious bubble regions and outputting confidence level information. During the detection process, the auxiliary analysis module can select and mark suspicious bubbles in the real-time image and display the corresponding confidence level. For segments with a confidence level below a preset threshold, they are automatically saved so that operators can manually verify the detection footage based on the annotation results. The manually verified data is saved to a local database and used as the data basis for subsequent incremental model training.

[0131] In some implementations, after all temperature points have been measured, the results can be summarized to generate a temperature-leakage status table, as shown in Table 1.

[0132] Table 1 Specifically, the temperature points can be selected as -30℃, 0℃, 25℃, 60℃, and 85℃, or equally spaced temperature points or other custom temperature sequences. The detection medium can be selected from ethanol-water solution, calcium chloride-water solution, a transfer detection solution, or a detection solution with added fluorescent powder, depending on the actual situation. The auxiliary analysis module can also select from frame difference method, anomaly detection model, time series network, etc., depending on the actual situation. The target gauge pressure can also be selected from the same absolute pressure, the same gauge pressure, etc. The above parameters can also be implemented in other ways, which are not limited in this disclosure.

[0133] In some implementations, a single detection container can be used for repeated detection according to the number of scenarios to be simulated. Figure 4 Another structural schematic diagram of the multi-temperature sealing performance testing system in this disclosure embodiment is shown, such as... Figure 4 As shown, the system may include six products to be tested, a testing container, two industrial cameras corresponding to the testing container, a temperature control structure located below the testing container, and a negative pressure system connected to the testing container. Specifically, as... Figure 4 As shown, the system also includes a user interface (UI) capable of simultaneously displaying the real-time status of six products under test. The UI displays real-time images of each product under test at the top, which can be real-time frames captured by an industrial camera. Below, it displays the product's number, the presence of air bubbles, current temperature, current pressure, and holding time.

[0134] Figure 5 A schematic diagram of the structure of multiple detection containers in an embodiment of this disclosure is shown, such as... Figure 5 As shown, the system may include a detection container 1, a cleaning and drying station, a detection container 2, a detection container 3, a detection container 4, and a detection container 5. Detection container 1 is set to -20℃ and contains a 50% ethylene glycol aqueous solution as an antifreeze detection medium; detection container 2 is set to 10℃ and contains purified water as a room temperature detection medium; detection container 3 is set to 30℃ and contains purified water as a room temperature detection medium; detection container 4 is set to 50℃ and contains purified water as a room temperature detection medium; and detection container 5 is set to 70℃ and contains purified water as a room temperature detection medium. Because the detection medium changes between detection containers 1 and 2, a cleaning and drying station is provided between them.

[0135] Figure 6 A schematic diagram illustrating the relationship between vacuum degree and temperature in an embodiment of this disclosure is shown, as follows: Figure 6As shown, different target gauge pressures are set for the vacuum level inside the detection container under different detection temperature conditions. A basically consistent negative pressure setting is used in the lower to intermediate temperature range, while the negative pressure parameter is appropriately adjusted under high-temperature detection conditions to ensure the required differential pressure while preventing the detection medium from boiling. For example, the target gauge pressure at 70°C is set to -66 kPa, and the target gauge pressure at other detection temperatures is set to -80 kPa.

[0136] It should be understood that Figures 3 to 6 The schematic diagrams shown are merely illustrative and not limiting, and are scalable; those skilled in the art can use them as a basis. Figures 3 to 6 Even with various obvious changes and / or substitutions to the examples, the resulting technical solutions still fall within the scope of this disclosure.

[0137] This disclosure provides a multi-temperature sealing performance testing device, such as... Figure 7 As shown, the device may include: a temperature determination module 701, used to determine the detection temperature corresponding to each of the selected at least two simulated scenarios according to a preset correspondence; a gauge pressure determination module 702, used to determine the target gauge pressure corresponding to each detection temperature in response to the input target pressure difference; a negative pressure detection module 703, used to place the product under test in the corresponding detection medium according to the detection temperature, and perform negative pressure detection on the product under test according to the corresponding target gauge pressure, thereby obtaining leakage characterization information of the product under test at each detection temperature; and a result generation module 704, used to determine the sealing state at each detection temperature according to the leakage characterization information, generate a temperature-sealing state table for the product under test, and determine the sealing performance result of the product under test according to the temperature-sealing state table.

[0138] In some embodiments, the temperature determination module 701 includes: a relationship acquisition submodule, used to acquire a corresponding relationship; the corresponding relationship includes the detection temperature corresponding to each preset scene type, the preset scene types include at least extreme low temperature, normal low temperature, normal temperature, normal high temperature and extreme high temperature; and a temperature correspondence submodule, used to determine N corresponding detection temperatures from the corresponding relationship based on the N selected scenes to be simulated; where N is not less than 2 and N is a positive integer.

[0139] In some embodiments, the gauge pressure determination module 702 includes: a pressure acquisition submodule for acquiring the current ambient air pressure and the saturated vapor pressure of the detection medium at each detection temperature; a pressure calculation submodule for determining the target absolute pressure based on the target pressure difference and the current ambient air pressure; and a gauge pressure calculation submodule for comparing the target absolute pressure with the saturated vapor pressure and determining the target gauge pressure based on the comparison result.

[0140] In some embodiments, the gauge pressure calculation submodule is used to: determine the target gauge pressure based on the target pressure difference when the target absolute pressure is greater than the saturated vapor pressure; and determine the target gauge pressure based on the saturated vapor pressure and a preset safety pressure difference when the target absolute pressure is less than or equal to the saturated vapor pressure.

[0141] In some embodiments, the negative pressure detection module 703 includes: a medium adjustment submodule, used to determine the type of detection medium according to the detection temperature and adjust the temperature of the detection medium to the detection temperature; a medium immersion submodule, used to immerse the product under test in a detection medium corresponding to any detection temperature; a negative pressure adjustment submodule, used to adjust the detection environment carrying the product under test and the detection medium to achieve the corresponding target gauge pressure; a pressure holding detection submodule, used to maintain the pressure at the target gauge pressure for a preset time and collect leakage characterization information at the current detection temperature; and a detection sequence submodule, used to immerse the product under test in a detection medium corresponding to another detection temperature, and perform negative pressure detection on the product under test according to the corresponding target gauge pressure until leakage characterization information of the product under test at each detection temperature is obtained.

[0142] In some embodiments, the types of detection media include at least: antifreeze detection media and room temperature detection media; the media adjustment submodule is used to: determine the type of detection media as antifreeze detection media when the detection temperature is less than or equal to a preset temperature; and determine the type of detection media as room temperature detection media when the detection temperature is greater than the preset temperature.

[0143] In some embodiments, the pressure holding detection submodule is configured to: acquire image data and / or video data of the product under test within a preset time period; perform bubble recognition on the image data and / or video data to obtain bubble recognition results; the bubble recognition results include at least one of bubble position, bubble number, and bubble duration; and determine leakage characterization information based on the bubble recognition results.

[0144] In some embodiments, the pressure holding detection submodule is further configured to: input image data and / or video data into a pre-trained recognition model; output a suspected leakage area and a recognition confidence level corresponding to the suspected leakage area from the recognition model; and determine the bubble recognition result based on the suspected leakage area and the recognition confidence level.

[0145] In some embodiments, the pressure holding detection submodule is further configured to: output a manual review prompt when the recognition confidence level is lower than a preset threshold; obtain the manual review result; and determine the bubble recognition result based on the manual review result.

[0146] In some embodiments, the pressure holding detection submodule is further configured to: associate and store the manual review results with the corresponding image data and / or video data to generate incremental training samples; perform incremental training on the recognition model based on the incremental training samples, and use the incrementally trained recognition model as the recognition model.

[0147] In some embodiments, the device further includes: a cleaning and drying module 705 ( Figure 7 (Not shown in the image), used to clean and dry the surface of the product to be tested.

[0148] In some embodiments, the result generation module 704 includes: a state determination submodule, used to determine the sealing state of the product under test at the corresponding detection temperature based on leakage characterization information and preset determination conditions; and a table generation submodule, used to establish the correlation between each detection temperature and the corresponding sealing state based on the sealing state at each detection temperature, and generate a temperature-sealing state table of the product under test.

[0149] In some embodiments, the leakage characterization information includes at least one of bubble location, bubble quantity, and bubble duration; the state determination submodule is configured to: determine the sealing state at the corresponding detection temperature as a sealing failure when bubbles are continuously generated at the same location, or the bubble quantity reaches a preset quantity threshold, or the bubble duration reaches a preset duration threshold; and determine the sealing state at the corresponding detection temperature as a good seal when bubbles are not continuously generated at the same location, the bubble quantity does not reach the preset quantity threshold, and the bubble duration does not reach the preset duration threshold.

[0150] In some embodiments, the result generation module 704 further includes: a category determination submodule, used to determine the sealing performance category of the product under test according to the temperature-sealing status table; the sealing performance category includes at least one of full-temperature range qualified, high-temperature sensitive failure, medium-low temperature sensitive failure and full-temperature range failure; a conclusion determination submodule, used to determine the sealing performance conclusion according to the sealing performance category; and a result determination submodule, used to determine the sealing performance result according to the sealing performance category and the sealing performance conclusion.

[0151] The specific functions and examples of each module and submodule of the apparatus in this disclosure can be found in the relevant descriptions of the corresponding steps in the above method embodiments, and will not be repeated here.

[0152] The multi-temperature sealing performance testing device in this embodiment can transform the different temperature and differential pressure conditions that the product under test may experience during actual use into a standardized and executable testing process. This allows the test results to identify the changing patterns of the sealing state of the product under test at multiple temperature points, and in particular, to identify temperature-sensitive critical failure products that pass the test at room temperature but leak under specific high or low temperature conditions. Simultaneously, by generating a temperature-sealing state table, it can provide a basis for product design verification, material selection, tolerance optimization, failure reproduction, and quality assessment, improving the consistency between sealing tests and real-world operating conditions, and enhancing the pre-development identification capabilities.

[0153] This disclosure provides a scenario diagram illustrating a multi-temperature sealing performance testing method, such as... Figure 8 As shown.

[0154] As previously described, the multi-temperature sealing performance testing method provided in this disclosure is applied to electronic devices. Electronic devices are intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers.

[0155] Specifically, the electronic device may perform the following operations: In response to at least two selected simulation scenarios, the system determines the detection temperature corresponding to each simulation scenario based on a preset correspondence. In response to the input target pressure difference, it determines the target gauge pressure corresponding to each detection temperature. Based on the detection temperature, the system places the product under test in the corresponding detection medium and performs negative pressure testing on the product under test according to the corresponding target gauge pressure to obtain leakage characterization information of the product under test at each detection temperature. Based on the leakage characterization information, the system determines the sealing state at each detection temperature, generates a temperature-sealing state table for the product under test, and determines the sealing performance result of the product under test based on the temperature-sealing state table.

[0156] It should be understood that Figure 8 The scene diagrams shown are merely illustrative and not restrictive; those skilled in the art can interpret them based on... Figure 8 Even with various obvious changes and / or substitutions to the examples, the resulting technical solutions still fall within the scope of this disclosure.

[0157] The acquisition, storage, and application of user personal information involved in the technical solution disclosed herein comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0158] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0159] Figure 9 A schematic block diagram of an example electronic device 900 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0160] like Figure 9 As shown, device 900 includes a computing unit 901, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 902 or a computer program loaded from storage unit 908 into random access memory (RAM) 903. RAM 903 may also store various programs and data required for the operation of device 900. The computing unit 901, ROM 902, and RAM 903 are interconnected via bus 904. Input / output (I / O) interface 905 is also connected to bus 904.

[0161] Multiple components in device 900 are connected to I / O interface 905, including: input unit 906, such as keyboard, mouse, etc.; output unit 907, such as various types of monitors, speakers, etc.; storage unit 908, such as disk, optical disk, etc.; and communication unit 909, such as network card, modem, wireless transceiver, etc. Communication unit 909 allows device 900 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0162] The computing unit 901 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 901 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. The computing unit 901 performs the various methods and processes described above, such as the multi-temperature sealing performance testing method. For example, in some embodiments, the multi-temperature sealing performance testing method can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 908. In some embodiments, part or all of the computer program can be loaded and / or installed on device 900 via ROM 902 and / or communication unit 909. When the computer program is loaded into RAM 903 and executed by the computing unit 901, one or more steps of the multi-temperature sealing performance testing method described above can be performed. Alternatively, in other embodiments, the computing unit 901 may be configured to perform a multi-temperature sealing performance testing method by any other suitable means (e.g., by means of firmware).

[0163] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0164] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0165] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory, read-only memory, erasable programmable read-only memory (EPROM), flash memory, optical fiber, compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0166] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a cathode ray tube (CRT) or liquid crystal display (LCD) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0167] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0168] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0169] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0170] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for testing sealing performance at multiple temperatures, comprising: In response to at least two selected simulation scenarios, the detection temperature corresponding to each simulation scenario is determined according to a preset correspondence. In response to the input target pressure difference, determine the target gauge pressure corresponding to each of the detected temperatures; According to the detection temperature, the product to be tested is placed in the corresponding detection medium, and the product to be tested is subjected to negative pressure detection according to the corresponding target gauge pressure to obtain leakage characterization information of the product to be tested at each detection temperature. Based on the leakage characterization information, the sealing state at each detection temperature is determined, a temperature-sealing state table of the product under test is generated, and the sealing performance result of the product under test is determined based on the temperature-sealing state table.

2. The method according to claim 1, wherein, The step of responding to at least two selected simulation scenarios by determining the detection temperature corresponding to each simulation scenario according to a preset correspondence includes: Obtain the correspondence; the correspondence includes the detection temperature corresponding to each preset scene type, and the preset scene types include at least extreme low temperature, normal low temperature, normal temperature, normal high temperature and extreme high temperature; Based on the selected N scenarios to be simulated, determine N corresponding detection temperatures from the correspondence; where N is not less than 2 and N is a positive integer.

3. The method according to claim 1, wherein, The step of determining the target gauge pressure corresponding to each of the detected temperatures in response to the input target pressure difference includes: Obtain the current ambient air pressure and the saturated vapor pressure of the detection medium at each of the specified detection temperatures; The target absolute pressure is determined based on the target pressure difference and the current ambient air pressure. The target absolute pressure is compared with the saturated vapor pressure, and the target gauge pressure is determined based on the comparison result.

4. The method of claim 3, wherein, The step of comparing the target absolute pressure with the saturated vapor pressure and determining the target gauge pressure based on the comparison result includes: When the target absolute pressure is greater than the saturated vapor pressure, the target gauge pressure is determined based on the target pressure difference; When the target absolute pressure is less than or equal to the saturated vapor pressure, the target gauge pressure is determined based on the saturated vapor pressure and a preset safety pressure difference.

5. The method of claim 1, wherein, The process involves placing the product under test in the corresponding detection medium according to the detection temperature, performing negative pressure detection on the product under test according to the corresponding target gauge pressure, and obtaining leakage characterization information of the product under test at each detection temperature, including: Based on the detection temperature, the type of the detection medium is determined, and the temperature of the detection medium is adjusted to the detection temperature. The product to be tested is immersed in the detection medium corresponding to any of the detection temperatures; The testing environment, which carries the product under test and the testing medium, is adjusted under negative pressure to bring the testing environment to the corresponding target gauge pressure. Maintain the target gauge pressure for a preset time and collect the leakage characterization information at the current detection temperature; The product under test is immersed in a detection medium corresponding to another detection temperature, and negative pressure detection is performed on the product under test according to the corresponding target gauge pressure until leakage characterization information of the product under test at each detection temperature is obtained.

6. The method of claim 5, wherein, The types of detection media include at least: antifreeze detection media and room temperature detection media; Determining the type of the detection medium based on the detection temperature includes: When the detection temperature is less than or equal to the preset temperature, the type of the detection medium is determined to be an antifreeze detection medium; When the detection temperature is greater than the preset temperature, the type of the detection medium is determined to be a room temperature detection medium.

7. The method of claim 5, wherein, The step of maintaining the target gauge pressure for a preset time and collecting the leakage characterization information at the current detection temperature includes: Collect image data and / or video data of the product under test during the preset time period; Bubble recognition is performed on the image data and / or video data to obtain bubble recognition results; the bubble recognition results include at least one of bubble position, bubble number, and bubble duration. Based on the bubble identification results, the leakage characterization information is determined.

8. The method of claim 7, wherein, The step of performing bubble recognition on the image data and / or video data to obtain bubble recognition results includes: The image data and / or video data are input into a pre-trained recognition model; The identification model outputs the suspected leakage area and the identification confidence level corresponding to the suspected leakage area; The bubble identification result is determined based on the suspected leakage area and the identification confidence level.

9. The method of claim 8, wherein, Determining the bubble identification result based on the suspected leakage area and the identification confidence level includes: When the recognition confidence level is lower than a preset threshold, a prompt for manual review is output. Obtain the results of manual review, and determine the bubble recognition result based on the results of manual review.

10. The method of claim 9, wherein, After obtaining the manual review results, the following is also included: The manual review results are associated and stored with the corresponding image data and / or video data to generate incremental training samples; The recognition model is incrementally trained based on the incremental training samples, and the incrementally trained recognition model is used as the recognition model.

11. The method of claim 5, wherein, When the type of the detection medium changes, before immersing the product to be tested in a detection medium corresponding to another detection temperature, the method further includes: The surface of the product to be tested is cleaned and dried.

12. The method of claim 1, wherein, The step of determining the sealing status at each detection temperature based on the leakage characterization information and generating a temperature-sealing status table for the product under test includes: Based on the leakage characterization information and preset judgment conditions, determine the sealing status of the product under test at the corresponding detection temperature; Based on the sealing status at each of the aforementioned detection temperatures, a correlation relationship is established between each of the aforementioned detection temperatures and the corresponding sealing status, and a temperature-sealing status table for the product under test is generated.

13. The method of claim 12, wherein, The leakage characterization information includes at least one of the following: bubble location, bubble number, and bubble duration; The step of determining the sealing state of the product under test at the corresponding detection temperature based on the leakage characterization information and preset judgment conditions includes: If bubbles are continuously generated at the same location, or if the number of bubbles reaches a preset number threshold, or if the duration of the bubbles reaches a preset duration threshold, the sealing status at the corresponding detection temperature will be determined as a sealing failure. When no bubbles are continuously generated at the same location, the number of bubbles does not reach the preset number threshold, and the duration of the bubbles does not reach the preset duration threshold, the sealing state at the corresponding detection temperature is determined to be a good seal.

14. The method of claim 1, wherein, The step of determining the sealing performance result of the product under test based on the temperature-sealing status table includes: The sealing performance category of the product under test is determined according to the temperature-sealing status table; the sealing performance category includes at least one of full-temperature range qualified, high-temperature sensitive failure, medium-low temperature sensitive failure, and full-temperature range failure. Based on the described sealing performance category, a conclusion on the sealing performance is determined; The sealing performance result is determined based on the sealing performance category and the sealing performance conclusion.

15. A multi-temperature sealing performance testing system, comprising: Multiple testing containers are set on the testing platform to hold the testing medium; A carrier mechanism is used to carry the product to be tested and immerse the product to be tested into the testing medium in any of the testing containers; A negative pressure assembly is used to bring the internal environment of the testing container to the corresponding target gauge pressure so as to perform negative pressure testing on the product under test. An image acquisition component is used to acquire image data and / or video data of the product under test during the negative pressure testing process to obtain leakage characterization information; The control unit, connected to the detection container, the supporting mechanism, the negative pressure component, and the image acquisition component, is used for: In response to at least two selected simulation scenarios, a detection temperature corresponding to each simulation scenario is determined according to a preset correspondence. In response to the input target pressure difference, a target gauge pressure corresponding to each detection temperature is determined. Based on the detection temperature, the product under test is placed in the corresponding detection medium, and negative pressure testing is performed on the product under test according to the corresponding target gauge pressure to obtain leakage characterization information of the product under test at each detection temperature. Based on the leakage characterization information, the sealing state at each detection temperature is determined, a temperature-sealing state table of the product under test is generated, and the sealing performance result of the product under test is determined based on the temperature-sealing state table.

16. The system of claim 15, wherein, The detection container includes: a receiving cavity, a temperature sensor, and a temperature control unit; The receiving cavity is used to contain the detection medium; The temperature sensor is used to detect the temperature of the detection medium; The temperature control unit is used to adjust the temperature of the detection medium, and includes a heating unit and / or a cooling unit; The control unit controls the temperature control unit based on the temperature information collected by the temperature sensor, so as to maintain the detection medium at the corresponding detection temperature.

17. The system according to claim 15, wherein, The load-bearing mechanism includes: tooling fixtures and a lifting mechanism; The tooling fixture is used to hold the product to be tested; The lifting mechanism is used to drive the tooling fixture to lift. The lifting mechanism is configured to drive the tooling fixture to move the product to be tested into or out of the testing medium.

18. The system of claim 15, wherein, The image acquisition component includes industrial cameras respectively disposed in the observation area of ​​each of the detection containers; Each of the industrial cameras is used to continuously acquire image data and / or video data of the product under test in the corresponding detection container within a preset time period.

19. The system of claim 15, wherein, The system also includes: a cleaning and drying assembly; The cleaning and drying assembly is used to clean and dry the surface of the product to be tested when the type of the detection medium changes.

20. A multi-temperature sealing performance testing device, comprising: The temperature determination module is used to determine the detection temperature corresponding to each of the selected at least two simulated scenarios according to a preset correspondence. The gauge pressure determination module is used to determine the target gauge pressure corresponding to each of the detection temperatures in response to the input target pressure difference. The negative pressure detection module is used to place the product under test in the corresponding detection medium according to the detection temperature, and perform negative pressure detection on the product under test according to the corresponding target gauge pressure, so as to obtain leakage characterization information of the product under test at each detection temperature. The result generation module is used to determine the sealing state at each detection temperature based on the leakage characterization information, generate a temperature-sealing state table for the product under test, and determine the sealing performance result of the product under test based on the temperature-sealing state table.

21. An electronic device, comprising: At least one processor; as well as A memory that is communicatively connected to at least one processor; wherein, The memory stores instructions that can be executed by at least one processor to enable the at least one processor to perform the method of any one of claims 1-14.

22. A non-transitory computer readable storage medium having stored thereon computer instructions, wherein, Computer instructions are used to cause a computer to perform the method according to any one of claims 1-14.

23. A computer program product comprising a computer program stored on a storage medium, wherein the computer program, when executed by a processor, implements the method according to any one of claims 1-14.

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