Vacuum cup thermal insulation performance detection system and method based on infrared image

Abstract

The invention belongs to the technical field of vacuum cup detection, and particularly relates to a vacuum cup thermal insulation performance detection system and method based on an infrared image. The thermal infrared image data and the appearance data are combined, the abnormal area can be accurately positioned, the detection accuracy is improved, the first compensation coefficient and the second compensation coefficient are introduced, the influence of other factors on the detection result is corrected, the reliability and consistency of the detection data are ensured, whether thermal insulation of the vacuum cup is abnormal or not can be judged, and the detection accuracy is improved. The method also can quantify the thermal insulation performance, generate scores and reports, provide a more comprehensive quality evaluation basis for users, can realize rapid detection, reduce human intervention and improve the detection efficiency through automatic equipment, is suitable for performance screening of large-batch vacuum cups, provides a visual temperature distribution diagram and abnormal region labeling for the detection reports, and improves the detection efficiency. A user can understand a detection result conveniently, and user experience is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of vacuum cup detection, and in particular relates to a vacuum cup heat preservation performance detection system and method based on infrared images. Background Art

[0002] With the improvement of modern living standards, vacuum cups are widely used in daily life as a common thermal insulation container. Its main function is to maintain the temperature of drinks through insulation and heat preservation design to meet consumers' demand for hot or cold drinks. However, with the increase in the types of vacuum cups on the market, consumers have put forward higher requirements for the thermal insulation performance of vacuum cups. The thermal insulation performance of vacuum cups directly affects its user experience. Therefore, how to efficiently and accurately detect the thermal insulation performance of vacuum cups has become an urgent problem to be solved.

[0003] Traditional methods for testing the thermal insulation performance of vacuum cups mainly rely on manual measurement and conventional temperature testing. These methods have the following shortcomings: On the one hand, manual testing is not only time-consuming and labor-intensive, but also easily affected by the subjective factors of the operator, resulting in inconsistent test results; on the other hand, conventional temperature testing can only provide surface temperature information and cannot fully reflect the temperature distribution and thermal insulation effect inside the vacuum cup. Therefore, the existing technology for testing the thermal insulation performance of vacuum cups often cannot meet the requirements of high efficiency, accuracy, and comprehensiveness.

[0004] With the development of infrared thermal imaging technology, temperature detection methods based on infrared images have gradually become an effective detection method. Infrared images can intuitively display the temperature distribution of objects. They can not only obtain surface temperature data, but also reflect the temperature differences in different areas of the object. They are particularly suitable for detection tasks that require accurate positioning of abnormal areas. However, the existing detection methods based on infrared images still have some problems in the detection of the thermal insulation performance of vacuum cups, such as: the lack of an effective regional temperature anomaly judgment mechanism, the failure to fully consider the dynamic characteristics of temperature changes, and the imperfect calculation method of the compensation coefficient, resulting in a lack of reliability and accuracy in the detection results. Summary of the invention

[0005] The purpose of the present invention is to provide a method for detecting the thermal insulation performance of a vacuum cup based on infrared images, which can accurately evaluate the thermal insulation performance of the vacuum cup and generate a detailed test report, thereby providing consumers with a scientific and objective basis for evaluating the thermal insulation performance.

[0006] The technical solution adopted by the present invention is as follows: A method for detecting heat preservation performance of a vacuum cup based on infrared images, comprising: Acquire the surface temperature data of the vacuum cup to be detected, and determine whether the surface temperature data meets the first preset condition. If not, determine that the vacuum cup to be detected has abnormal thermal insulation, and mark it as an abnormal vacuum cup; Acquire thermal infrared image data of the abnormal vacuum cup, and acquire corresponding temperature and color information of multiple regions according to the thermal infrared image data; Acquire the appearance data of the abnormal vacuum cup, acquire the temperature value of each area according to the appearance data and the temperature color information of multiple areas, judge whether the temperature value of each area meets the second preset condition, and if not, judge that the area temperature is abnormal, and acquire the corresponding abnormal area value; Construct a temperature variation period, obtain temperature variation data of regional temperature anomalies within the temperature variation period, and obtain a first compensation coefficient according to the temperature variation data; Obtaining a corresponding second compensation coefficient according to the regional temperature anomaly, and obtaining a comprehensive compensation coefficient according to the first compensation coefficient and the second compensation coefficient; The insulation test value is obtained according to the abnormal area value and the comprehensive compensation coefficient, and the insulation score is obtained according to the insulation test value, and a test report is generated.

[0007] In a preferred embodiment, the step of obtaining the surface temperature data of the vacuum cup to be detected, determining whether the surface temperature data meets the first preset condition, and if not, determining that the vacuum cup to be detected has abnormal insulation, and marking it as an abnormal vacuum cup, includes: Acquire surface temperature data of the vacuum cup to be tested; Acquire corresponding multiple surface temperature values ​​according to the surface temperature data; Get the surface temperature threshold; Determine whether each surface temperature value exceeds a surface temperature threshold; If there is a surface temperature value exceeding the surface temperature threshold, it is determined that the insulation of the vacuum cup to be detected is abnormal and is marked as an abnormal vacuum cup.

[0008] In a preferred embodiment, the step of obtaining thermal infrared image data of the abnormal vacuum cup and obtaining corresponding temperature and color information of multiple regions according to the thermal infrared image data includes: Acquire thermal infrared image data of abnormal vacuum cup; Acquire multiple thermal radiation areas of the abnormal vacuum cup according to thermal infrared image data; Obtain different color contour information of the thermal radiation map in each thermal radiation area and mark it as regional temperature color information.

[0009] In a preferred embodiment, the steps of obtaining the appearance data of the abnormal vacuum cup, obtaining the temperature value of each region according to the appearance data and the temperature color information of multiple regions, judging whether the temperature value of each region meets the second preset condition, and if not, judging that the regional temperature is abnormal, and obtaining the corresponding abnormal regional value include: Obtain appearance data of abnormal vacuum cups; Acquire multiple appearance vectors of regions corresponding to temperature and color information of multiple regions according to the appearance data; Acquire multiple temperature color vectors of corresponding regions according to temperature color information of multiple regions; Obtaining a regional temperature value of a corresponding region according to a plurality of appearance vectors of each region and a plurality of temperature color vectors of the corresponding region; Get the regional temperature threshold corresponding to each region; Determine whether the regional temperature value of each area exceeds the regional temperature threshold of the corresponding area; If the regional temperature value exceeds the regional temperature threshold of the corresponding region, it is determined that the regional temperature of the region corresponding to the abnormal vacuum cup is abnormal; Get the regional temperature value corresponding to the regional temperature anomaly that exceeds the regional temperature threshold value and mark it as an abnormal regional value.

[0010] In a preferred embodiment, the steps of constructing a temperature variation period, obtaining temperature variation information of regional temperature anomalies within the temperature variation period, and obtaining a first compensation coefficient according to the temperature variation information include: Constructing temperature variation periods; Obtaining temperature data of the period of abnormal regional temperature within the temperature variation period; Acquire corresponding temperature values ​​of multiple time periods according to the time period temperature data; Obtain corresponding temperature change values ​​according to temperature values ​​in multiple time periods and mark them as temperature change information; Obtaining a first compensation table, wherein the first compensation table includes a plurality of temperature change intervals and a first compensation coefficient corresponding to each temperature change interval; Obtaining a corresponding target temperature change interval according to the temperature change information; A corresponding first compensation coefficient is obtained from a first compensation table according to the target temperature variation interval.

[0011] In a preferred embodiment, the step of constructing a temperature-varying period comprises: Get the time when the temperature in the determined area is abnormal and mark it as the start time; Obtaining an abnormal area time period table, wherein the abnormal area time period table includes a plurality of abnormal area intervals and a temperature change duration corresponding to each abnormal area interval; Obtain the target abnormal area interval according to the abnormal area value; According to the target abnormal area interval, the corresponding temperature change duration is obtained from the abnormal area time period table; Get the corresponding end time according to the temperature change duration and start time; Get the temperature change period based on the start time and end time.

[0012] In a preferred embodiment, the steps of obtaining a corresponding second compensation coefficient according to the regional temperature anomaly and obtaining a comprehensive compensation coefficient according to the first compensation coefficient and the second compensation coefficient include: Obtaining a second compensation table, wherein the second compensation table includes temperature distribution areas of a plurality of vacuum cups and a second compensation coefficient corresponding to each temperature distribution area; Obtain the corresponding target temperature distribution area according to the regional temperature anomaly; Obtaining a corresponding second compensation coefficient from a second compensation table according to the target temperature distribution area; A comprehensive compensation coefficient is obtained according to the first compensation coefficient and the second compensation coefficient.

[0013] In a preferred embodiment, the steps of obtaining a thermal insulation test value according to the abnormal area value and the comprehensive compensation coefficient, obtaining a thermal insulation score according to the thermal insulation test value, and generating a test report include: Obtain thermal insulation detection values ​​based on abnormal area values ​​and comprehensive compensation coefficients; Obtain a scoring table, wherein the scoring table includes multiple insulation detection intervals and insulation scores corresponding to each insulation detection interval; Obtain a target thermal insulation detection interval according to the thermal insulation detection value; Obtain the corresponding insulation score from the score table according to the target insulation test interval and generate a test report.

[0014] The present invention also provides a vacuum cup thermal insulation performance detection system based on infrared images, which is used in the above-mentioned vacuum cup thermal insulation performance detection method based on infrared images, comprising: The first judgment module is used to obtain the surface temperature data of the vacuum cup to be detected, and judge whether the surface temperature data meets the first preset condition. If not, it is judged that the insulation of the vacuum cup to be detected is abnormal, and it is marked as an abnormal vacuum cup; A thermal radiation module is used to obtain thermal infrared image data of the abnormal vacuum cup, and obtain temperature and color information of corresponding multiple regions according to the thermal infrared image data; The second judgment module is used to obtain the appearance data of the abnormal vacuum cup, obtain the temperature value of each area according to the appearance data and the temperature color information of multiple areas, and judge whether the temperature value of each area meets the second preset condition. If not, it is judged that the area temperature is abnormal, and the corresponding abnormal area value is obtained; A first compensation module is used to construct a temperature change period, obtain temperature change data of regional temperature anomalies within the temperature change period, and obtain a first compensation coefficient according to the temperature change data; A comprehensive compensation module, used to obtain a corresponding second compensation coefficient according to the regional temperature anomaly, and to obtain a comprehensive compensation coefficient according to the first compensation coefficient and the second compensation coefficient; The insulation scoring module is used to obtain the insulation detection value according to the abnormal area value and the comprehensive compensation coefficient, obtain the insulation score according to the insulation detection value, and generate a detection report.

[0015] And, a vacuum cup heat preservation performance detection terminal based on infrared image, comprising: one or more processors; a storage device having one or more programs stored thereon; When one or more programs are executed by one or more processors, the one or more processors implement a method for detecting the thermal insulation performance of a vacuum cup based on infrared images.

[0016] The technical effects achieved by the present invention are: The present invention, in combination with thermal infrared image data and appearance data, can accurately locate abnormal areas and improve the accuracy of detection. By introducing the first compensation coefficient and the second compensation coefficient, the influence of other factors on the detection results is corrected to ensure the reliability and consistency of the detection data. It can not only determine whether the vacuum cup has abnormal insulation, but also quantify its insulation performance, generate scores and reports, and provide users with a more comprehensive basis for quality assessment. Rapid detection can be achieved through automated equipment, reducing human intervention and improving detection efficiency. It is suitable for performance screening of large quantities of vacuum cups. The detection report provides an intuitive temperature distribution diagram and abnormal area annotations, which are convenient for users to understand the detection results and improve user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of the method provided by the present invention; Figure 2 It is a system module diagram provided by the present invention. DETAILED DESCRIPTION

[0018] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0019] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0020] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The phrase "in a preferred embodiment" that appears in different places in this specification does not refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0021] Secondly, the present invention is described in detail in conjunction with schematic diagrams. When describing the embodiments of the present invention in detail, for the convenience of explanation, the schematic diagrams are only examples and should not limit the scope of protection of the present invention.

[0022] Please see attached Figure 1 As shown, a method for detecting the heat preservation performance of a vacuum cup based on infrared images is provided, comprising: S1. Obtain the surface temperature data of the vacuum cup to be tested, and determine whether the surface temperature data meets the first preset condition. If not, the vacuum cup to be tested is determined to have abnormal thermal insulation and is marked as an abnormal vacuum cup. S2, obtaining thermal infrared image data of the abnormal vacuum cup, and obtaining corresponding temperature and color information of multiple regions according to the thermal infrared image data; S3, obtaining the appearance data of the abnormal vacuum cup, obtaining the temperature value of each area according to the appearance data and the temperature color information of multiple areas, judging whether the temperature value of each area meets the second preset condition, and if not, judging that the area temperature is abnormal, and obtaining the corresponding abnormal area value; S4, constructing a temperature change period, obtaining temperature change data of regional temperature anomalies within the temperature change period, and obtaining a first compensation coefficient according to the temperature change data; S5. Obtain a corresponding second compensation coefficient according to the regional temperature anomaly, and obtain a comprehensive compensation coefficient according to the first compensation coefficient and the second compensation coefficient; S6. Obtain the insulation test value according to the abnormal area value and the comprehensive compensation coefficient, obtain the insulation score according to the insulation test value, and generate a test report.

[0023] As in the above steps S1 to S6, by obtaining the surface temperature data of the vacuum cup and comparing it with the first preset condition (such as the standard temperature range or the change threshold), it is quickly determined whether the vacuum cup has insulation abnormality. If the surface temperature data does not meet the requirements, it is directly determined to be an abnormal vacuum cup. The abnormal vacuum cup is detected using thermal infrared imaging technology, and the temperature color information of multiple areas is collected. The infrared image can intuitively reflect the temperature distribution. By combining the appearance data of the vacuum cup (such as shape, size, etc.), the temperature color information in the thermal infrared image is converted into a specific temperature value, and it is determined one by one whether the temperature value of each area meets the second preset condition (such as the local temperature difference range). The area that does not meet the condition is marked as an abnormal area. By constructing a temperature change period, the dynamic change of the regional temperature anomaly is monitored, and the temperature change data is extracted. The first compensation coefficient is calculated based on these data, and the second compensation coefficient is calculated in combination with the characteristics of the regional temperature anomaly. The first and second compensation coefficients are combined to generate a comprehensive compensation coefficient. According to the abnormal area value and the comprehensive compensation coefficient, the thermal insulation test value is calculated to reflect the overall thermal insulation performance level of the vacuum cup. The thermal insulation test value is converted into a thermal insulation score, and a detailed test report is generated. Combined with the thermal infrared image data and the appearance data, the abnormal area can be accurately located to improve the accuracy of the test. By introducing the first compensation coefficient and the second compensation coefficient, the influence of other factors on the test results can be corrected to ensure the reliability and consistency of the test data. It can not only determine whether the vacuum cup has abnormal thermal insulation, but also quantify its thermal insulation performance, generate scores and reports, and provide users with a more comprehensive basis for quality assessment. Rapid detection can be achieved through automated equipment, reducing human intervention and improving detection efficiency. It is suitable for performance screening of large quantities of vacuum cups. The test report provides an intuitive temperature distribution map and abnormal area annotations to facilitate users to understand the test results and improve user experience.

[0024] In a preferred embodiment, the step of obtaining the surface temperature data of the vacuum cup to be detected, determining whether the surface temperature data meets the first preset condition, and if not, determining that the vacuum cup to be detected has abnormal insulation, and marking it as an abnormal vacuum cup, includes: S101, obtaining surface temperature data of the vacuum cup to be tested; S102, acquiring corresponding multiple surface temperature values ​​according to the surface temperature data; S103, obtaining a surface temperature threshold; S104, determining whether each surface temperature value exceeds a surface temperature threshold; If there is a surface temperature value exceeding the surface temperature threshold, it is determined that the insulation of the vacuum cup to be detected is abnormal and is marked as an abnormal vacuum cup.

[0025] As in the above steps S101 to S104, the surface temperature data of the vacuum cup to be tested is obtained by a temperature sensor or other measuring equipment, and the collected surface temperature data is refined into multiple surface temperature values, representing the temperature distribution at different positions on the surface of the vacuum cup. A surface temperature threshold is pre-set as a benchmark condition for thermal insulation performance detection. The threshold is usually determined according to the design standard, usage scenario or industry specification of the vacuum cup, and is used to determine whether the temperature is abnormal. Each surface temperature value is compared with the surface temperature threshold one by one. If any surface temperature value exceeds the threshold, it means that the surface temperature of the vacuum cup is abnormal, and there may be a thermal insulation performance problem. The vacuum cup is marked as an abnormal vacuum cup. By extracting and analyzing multiple surface temperature values ​​point by point, it can be accurately determined whether there is a local temperature anomaly on the surface of the vacuum cup, and it can quickly determine whether the vacuum cup has thermal insulation abnormalities, effectively improve the detection efficiency, and is suitable for large-scale detection scenarios. It ensures the standardization and consistency of the detection process and avoids errors caused by human subjective judgment.

[0026] In a preferred embodiment, the step of obtaining thermal infrared image data of the abnormal vacuum cup and obtaining corresponding temperature and color information of multiple regions according to the thermal infrared image data includes: S201, obtaining thermal infrared image data of an abnormal vacuum cup; S202, acquiring multiple heat radiation areas of the abnormal vacuum cup according to the thermal infrared image data; S203, obtaining different color contour information of the heat radiation map in each heat radiation area, and marking it as regional temperature color information.

[0027] As in the above steps S201 to S203, an infrared thermal imager or similar equipment is used to obtain thermal infrared image data of the abnormal vacuum cup. The image reflects the temperature distribution of each area on the surface of the vacuum cup in different colors. The brighter the color, the higher the temperature, and the darker the color, the lower the temperature. The thermal infrared image is divided into multiple thermal radiation areas. Each thermal radiation area represents a relatively independent part of the temperature distribution on the surface of the vacuum cup. The division is usually based on color gradient or contour change. The color contour information of each thermal radiation area is extracted, including the distribution, range and change of color. These color information are marked as the temperature color information of the corresponding area, which can directly reflect the distribution of the temperature on the surface of the vacuum cup. After being refined into multiple thermal radiation areas, the temperature abnormal area can be located more accurately, and the local temperature abnormality can be found, instead of relying solely on the overall temperature data, thereby improving the comprehensiveness of the detection, and being able to reflect the temperature characteristics of each area on the surface of the vacuum cup. Even if the vacuum cup has a complex shape or an irregular surface, the thermal radiation area can be accurately divided by the color contour information.

[0028] In a preferred embodiment, the steps of obtaining the appearance data of the abnormal vacuum cup, obtaining the temperature value of each area according to the appearance data and the temperature color information of multiple areas, judging whether the temperature value of each area meets the second preset condition, and if not, judging that the area temperature is abnormal, and obtaining the corresponding abnormal area value include: S301, obtaining appearance data of abnormal vacuum cup; S302, acquiring multiple appearance vectors of regions corresponding to temperature color information of multiple regions according to the appearance data; S303, acquiring multiple temperature color vectors of corresponding regions according to the temperature color information of multiple regions; S304, obtaining a regional temperature value of a corresponding region according to a plurality of appearance vectors of each region and a plurality of temperature color vectors of the corresponding region; S305, obtaining a regional temperature threshold corresponding to each region; S306, determining whether the regional temperature value of each area exceeds the regional temperature threshold of the corresponding area; If the regional temperature value exceeds the regional temperature threshold of the corresponding region, it is determined that the regional temperature of the region corresponding to the abnormal vacuum cup is abnormal; S307: Obtain a regional temperature value corresponding to the regional temperature anomaly that exceeds a regional temperature threshold value, and mark it as an abnormal regional value.

[0029] As in the above steps S301 to S307, the appearance data of the abnormal vacuum cup, including its shape, size, surface features and other information, is obtained by a high-precision image acquisition device or a three-dimensional scanning device. These appearance data are used to correspond the temperature information of the thermal infrared image with a specific physical area. Based on the appearance data, multiple appearance vectors of the area corresponding to the regional temperature color information are extracted to describe the spatial position and shape characteristics of each area on the surface of the vacuum cup. The temperature color information of the thermal infrared image is used to generate a corresponding temperature color vector for each area. The appearance vector and temperature color vector of each area are combined to calculate the temperature value of each area. The calculation formula of the regional temperature value is: , where Q represents the regional temperature value, i represents the number of multiple appearance vectors, where i=1,2,3…n, is represented as the i-th appearance vector, g is represented as the number of multiple temperature color vectors, g = 1, 2, 3…r, It is represented as the g-th temperature color vector. A temperature threshold is preset for each area as a standard for determining whether the regional temperature is abnormal. The threshold can be determined according to the design requirements or industry standards of the vacuum cup. The temperature value of each area is compared with its corresponding temperature threshold. If the temperature value of a certain area exceeds the threshold, the temperature of the area is determined to be abnormal. The part of the temperature value of the abnormal temperature area that exceeds the threshold is extracted and marked as the abnormal area value. This can effectively identify local temperature anomalies instead of only detecting the overall temperature, improve detection accuracy, adapt to the complex shape design of the vacuum cup, and ensure accurate correspondence between temperature data and physical areas.

[0030] In a preferred embodiment, the steps of constructing a temperature change period, obtaining temperature change information of abnormal regional temperature within the temperature change period, and obtaining a first compensation coefficient according to the temperature change information include: S401, establishing a temperature change period; S402, obtaining temperature data of a period of abnormal regional temperature within a temperature variation period; S403, acquiring corresponding temperature values ​​for multiple time periods according to the temperature data for the time period; S404, obtaining corresponding temperature change values ​​according to the temperature values ​​in multiple time periods, and marking them as temperature change information; S405, obtaining a first compensation table, wherein the first compensation table includes a plurality of temperature change intervals and a first compensation coefficient corresponding to each temperature change interval; S406, acquiring a corresponding target temperature change interval according to the temperature change information; S407 . Obtain a corresponding first compensation coefficient from a first compensation table according to the target temperature variation interval.

[0031] As in the above steps S401 to S407, a temperature change period is set according to the detection requirements, which is usually the time interval when the vacuum cup is gradually cooled or heated from the initial temperature. The temperature change period reflects the change of the thermal insulation performance of the vacuum cup within a certain time range. During the temperature change period, the temperature data of each area of ​​the vacuum cup is collected by thermal infrared imaging equipment or other temperature sensors to form a complete period temperature data sequence. The temperature values ​​of multiple time points are extracted from the period temperature data to form a time series of temperature changes. The temperature change value is calculated based on the temperature values ​​of multiple period times and marked as temperature change information. The calculation formula of the temperature change value is: , where T represents the temperature change value, h represents the number of temperature values ​​in multiple time periods, h=2,3,4…u, It is expressed as the temperature value of the hth period, It is expressed as the temperature value of the h-1th time period. The first compensation table is a reference table pre-set according to experimental data or industry standards, which includes different temperature change intervals and their corresponding first compensation coefficients. The temperature change information is matched with the temperature change interval in the first compensation table to find the corresponding target temperature change interval. The matching process is usually based on the interval range judgment. According to the target temperature change interval, the corresponding first compensation coefficient is extracted from the first compensation table. The thermal insulation performance of the vacuum cup can be dynamically evaluated, not just static temperature detection. The setting of the temperature change period can be flexibly adjusted according to different detection requirements, which is suitable for thermal insulation performance detection of different types of vacuum cups.

[0032] In a preferred embodiment, the step of constructing a temperature variation period includes: S4011, obtaining the time when the temperature in the determination area is abnormal, and marking it as the start time; S4012, obtaining an abnormal area time period table, wherein the abnormal area time period table includes multiple abnormal area intervals and a temperature change duration corresponding to each abnormal area interval; S4013, obtaining a target abnormal area interval according to the abnormal area value; S4014, obtaining the corresponding temperature change duration from the abnormal area time period table according to the target abnormal area interval; S4015, obtaining a corresponding end time according to the temperature change duration and the start time; S4016. Obtain the temperature change period according to the start time and the end time.

[0033] As in the above steps S4011 to S4016, the time point at which the abnormal area is identified is obtained and marked as the start time. The start time is the starting point of the temperature change period, which usually corresponds to the time when the regional temperature anomaly is first detected. The abnormal area period table is a pre-constructed reference data table, which contains multiple abnormal area intervals (such as temperature anomaly amplitude intervals) and their corresponding temperature change durations. The table is generated based on experimental data or empirical statistics. According to the detected abnormal area value, it is matched with the abnormal area interval in the abnormal area period table to find the corresponding target abnormal area interval. According to the target abnormal area interval, the abnormal area interval is obtained from the abnormal area period table. The corresponding temperature change time is extracted from the data, and the temperature change time is added to the start time to obtain the end time of the temperature change period. The end time marks the end point of the temperature change period. According to the start time and the end time, the temperature change period is finally constructed, which can more accurately reflect the temperature change process in the abnormal area, avoid the limitations of fixed time periods, and adapt to different types of abnormal areas. By matching the target abnormal area interval, it ensures that the selected temperature change time is highly consistent with the actual situation in the abnormal area, thereby improving the pertinence and accuracy of the detection. The abnormal area time table and matching rules can be flexibly adjusted, which is suitable for different vacuum cup types and thermal insulation performance detection scenarios.

[0034] In a preferred embodiment, the steps of obtaining the corresponding second compensation coefficient according to the regional temperature anomaly and obtaining the comprehensive compensation coefficient according to the first compensation coefficient and the second compensation coefficient include: S501, obtaining a second compensation table, wherein the second compensation table includes temperature distribution areas of a plurality of vacuum cups and a second compensation coefficient corresponding to each temperature distribution area; S502, obtaining a corresponding target temperature distribution area according to the regional temperature anomaly; S503, obtaining a corresponding second compensation coefficient from a second compensation table according to the target temperature distribution area; S504. Obtain a comprehensive compensation coefficient according to the first compensation coefficient and the second compensation coefficient.

[0035] As in the above steps S501 to S504, the second compensation table is a reference table established based on a large amount of vacuum cup temperature distribution experimental data. The table lists multiple temperature distribution areas (such as surface temperature abnormality areas, internal heat conduction areas, etc.) and the second compensation coefficients corresponding to each area. These coefficients reflect the specific impact of temperature abnormalities in different areas on the thermal insulation performance test results. According to the area corresponding to the detected regional temperature abnormality, it is matched with the temperature distribution area in the second compensation table, and the corresponding target temperature distribution area is found. The second compensation coefficient corresponding to the target temperature distribution area is extracted from the second compensation table, and the first compensation coefficient (based on temperature) is converted into the second compensation coefficient. The dynamic compensation coefficient obtained based on the temperature change and the second compensation coefficient (the static compensation coefficient obtained based on the temperature distribution area) is calculated to obtain the comprehensive compensation coefficient. The calculation formula of the comprehensive compensation coefficient is Z=a*b, where Z is the comprehensive compensation coefficient, a is the first compensation coefficient, and b is the second compensation coefficient. The influence of temperature change and regional distribution on the thermal insulation performance is comprehensively considered to ensure that the test results are more accurate. The introduction of the comprehensive compensation coefficient reduces the test error, especially under complex temperature distribution and change conditions, and improves the credibility of the thermal insulation performance test results. It can adapt to different types of vacuum cups and thermal insulation performance test needs and has high versatility.

[0036] In a preferred embodiment, the steps of obtaining a thermal insulation detection value according to the abnormal area value and the comprehensive compensation coefficient, obtaining a thermal insulation score according to the thermal insulation detection value, and generating a detection report include: S601, obtaining a thermal insulation detection value according to the abnormal area value and the comprehensive compensation coefficient; S602, obtaining a scoring table, wherein the scoring table includes a plurality of heat preservation detection intervals and a heat preservation score corresponding to each heat preservation detection interval; S603, obtaining a target heat preservation detection interval according to the heat preservation detection value; S604: Obtain corresponding insulation scores from the score table according to the target insulation test interval, and generate a test report.

[0037] As in the above steps S601 to S604, the insulation detection value is calculated according to the abnormal area value and the comprehensive compensation coefficient. The calculation formula of the insulation detection value is B=E*Z, where B represents the insulation detection value, E represents the abnormal area value, and Z represents the comprehensive compensation coefficient. The scoring table is a pre-established reference table that lists multiple insulation detection intervals (such as excellent, qualified, and unqualified) and the insulation score corresponding to each interval. The scoring table is formulated based on a large amount of test data and industry standards. The calculated insulation detection value is matched with the insulation detection interval in the scoring table to determine the insulation detection value. The target detection interval is selected, and the corresponding insulation score is extracted from the score sheet according to the target insulation detection interval. At the same time, a test report including the insulation detection value, insulation score, abnormal area information and comprehensive compensation information is generated to provide users with detailed test results to ensure that the insulation detection value can truly reflect the insulation performance of the vacuum cup. The formulation of the score sheet can be based on industry standards, so that the insulation performance test results have strong versatility and reference value. The analysis results of the abnormal area values ​​and the comprehensive compensation coefficients in the test report provide a clear direction for the material optimization, structural improvement and production process adjustment of the vacuum cup.

[0038] Please see attached Figure 2 As shown, the present invention also provides a vacuum cup thermal insulation performance detection system based on infrared images, which is used in the above-mentioned vacuum cup thermal insulation performance detection method based on infrared images, comprising: The first judgment module is used to obtain the surface temperature data of the vacuum cup to be detected, and judge whether the surface temperature data meets the first preset condition. If not, it is judged that the insulation of the vacuum cup to be detected is abnormal, and it is marked as an abnormal vacuum cup; A thermal radiation module is used to obtain thermal infrared image data of the abnormal vacuum cup, and obtain temperature and color information of corresponding multiple regions according to the thermal infrared image data; The second judgment module is used to obtain the appearance data of the abnormal vacuum cup, obtain the temperature value of each area according to the appearance data and the temperature color information of multiple areas, and judge whether the temperature value of each area meets the second preset condition. If not, it is judged that the area temperature is abnormal, and the corresponding abnormal area value is obtained; A first compensation module is used to construct a temperature change period, obtain temperature change data of regional temperature anomalies within the temperature change period, and obtain a first compensation coefficient according to the temperature change data; A comprehensive compensation module, used to obtain a corresponding second compensation coefficient according to the regional temperature anomaly, and to obtain a comprehensive compensation coefficient according to the first compensation coefficient and the second compensation coefficient; The insulation scoring module is used to obtain the insulation detection value according to the abnormal area value and the comprehensive compensation coefficient, obtain the insulation score according to the insulation detection value, and generate a detection report.

[0039] In the above, the first judgment module obtains the surface temperature data of the vacuum cup to be detected, and determines whether it meets the first preset condition (such as the temperature threshold range). If the surface temperature data exceeds the preset range, it is determined to be abnormal insulation and calibrated as an abnormal vacuum cup. The thermal radiation module obtains the thermal infrared image data of the abnormal vacuum cup, obtains the temperature distribution of the thermal radiation area, extracts the temperature color information of multiple regions in the thermal infrared image, and reflects the temperature distribution of different regions through color. The second judgment module combines the appearance data of the abnormal vacuum cup and the regional temperature color information to obtain the temperature value of each region, and determines whether the temperature value of each region meets the second preset condition (such as the regional temperature threshold range). If the regional temperature value exceeds the threshold, it is calibrated as regional temperature abnormality, and the abnormal regional value is recorded. The first compensation module constructs a temperature change period, obtains the temperature change data of the regional temperature abnormality, obtains the temperature change data, and based on the According to the temperature change data, the first compensation coefficient is obtained from the compensation table. The comprehensive compensation module obtains the corresponding second compensation coefficient from the compensation table according to the regional temperature anomaly information. The comprehensive compensation coefficient is calculated by combining the first compensation coefficient and the second compensation coefficient. The thermal insulation scoring module calculates the thermal insulation test value according to the abnormal area value and the comprehensive compensation coefficient, quantifies the thermal insulation performance of the vacuum cup, matches the thermal insulation test value with the scoring table, obtains the corresponding thermal insulation score, and generates a test report. The test report includes the thermal insulation test value, thermal insulation score, abnormal area information and compensation coefficient, etc., to provide users with detailed test results. Through multi-module collaboration, the temperature distribution of the vacuum cup is gradually analyzed from the overall to the local, the abnormal insulation area is accurately identified, and the detection accuracy is improved. It can not only determine whether the vacuum cup has abnormal insulation, but also quantify its thermal insulation performance, generate scores and reports, and provide users with a more comprehensive basis for quality evaluation.

[0040] And, a vacuum cup heat preservation performance detection terminal based on infrared image, comprising: one or more processors; a storage device having one or more programs stored thereon; When one or more programs are executed by one or more processors, the one or more processors implement a method for detecting the thermal insulation performance of a vacuum cup based on infrared images.

[0041] The above is only a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention shall be implemented according to the conventional means in the art unless otherwise specified and limited.

Claims

1. A method for detecting the thermal insulation performance of a vacuum cup based on infrared images, characterized in that: include: Acquire the surface temperature data of the vacuum cup to be detected, and determine whether the surface temperature data meets the first preset condition. If not, determine that the vacuum cup to be detected has abnormal thermal insulation, and mark it as an abnormal vacuum cup; Acquire thermal infrared image data of the abnormal vacuum cup, and acquire corresponding temperature and color information of multiple regions according to the thermal infrared image data; Acquire the appearance data of the abnormal vacuum cup, acquire the temperature value of each area according to the appearance data and the temperature color information of multiple areas, judge whether the temperature value of each area meets the second preset condition, and if not, judge that the area temperature is abnormal, and acquire the corresponding abnormal area value; Construct a temperature variation period, obtain temperature variation data of regional temperature anomalies within the temperature variation period, and obtain a first compensation coefficient according to the temperature variation data; Obtaining a corresponding second compensation coefficient according to the regional temperature anomaly, and obtaining a comprehensive compensation coefficient according to the first compensation coefficient and the second compensation coefficient; The insulation test value is obtained according to the abnormal area value and the comprehensive compensation coefficient, and the insulation score is obtained according to the insulation test value, and a test report is generated.

2. The method for detecting the thermal insulation performance of a vacuum cup based on infrared images according to claim 1, characterized in that: The step of obtaining the surface temperature data of the vacuum cup to be detected, determining whether the surface temperature data meets the first preset condition, and if not, determining that the vacuum cup to be detected has abnormal insulation, and marking it as an abnormal vacuum cup, comprises: Acquire surface temperature data of the vacuum cup to be tested; Acquire corresponding multiple surface temperature values ​​according to the surface temperature data; Get the surface temperature threshold; Determine whether each surface temperature value exceeds a surface temperature threshold; If there is a surface temperature value exceeding the surface temperature threshold, it is determined that the insulation of the vacuum cup to be detected is abnormal and is marked as an abnormal vacuum cup.

3. The method for detecting the heat preservation performance of a vacuum cup based on infrared images according to claim 1, characterized in that: The steps of obtaining thermal infrared image data of the abnormal vacuum cup and obtaining corresponding temperature and color information of multiple regions according to the thermal infrared image data include: Acquire thermal infrared image data of abnormal vacuum cup; Acquire multiple thermal radiation areas of the abnormal vacuum cup according to thermal infrared image data; Obtain different color contour information of the thermal radiation map in each thermal radiation area and mark it as regional temperature color information.

4. The method for detecting the heat preservation performance of a vacuum cup based on infrared images according to claim 1, characterized in that: The steps of obtaining the appearance data of the abnormal vacuum cup, obtaining the temperature value of each area according to the appearance data and the temperature color information of multiple areas, judging whether the temperature value of each area meets the second preset condition, and if not, judging that the area temperature is abnormal, and obtaining the corresponding abnormal area value include: Obtain appearance data of abnormal vacuum cups; Acquire multiple appearance vectors of regions corresponding to temperature and color information of multiple regions according to the appearance data; Acquire multiple temperature color vectors of corresponding regions according to temperature color information of multiple regions; Obtaining a regional temperature value of a corresponding region according to a plurality of appearance vectors of each region and a plurality of temperature color vectors of the corresponding region; Get the regional temperature threshold corresponding to each region; Determine whether the regional temperature value of each area exceeds the regional temperature threshold of the corresponding area; If the regional temperature value exceeds the regional temperature threshold of the corresponding region, it is determined that the regional temperature of the region corresponding to the abnormal vacuum cup is abnormal; Get the regional temperature value corresponding to the regional temperature anomaly that exceeds the regional temperature threshold value and mark it as an abnormal regional value.

5. The method for detecting the heat preservation performance of a vacuum cup based on infrared images according to claim 1, characterized in that: The steps of constructing a temperature variation period, obtaining temperature variation information of regional temperature anomalies within the temperature variation period, and obtaining a first compensation coefficient according to the temperature variation information include: Constructing temperature variation periods; Obtaining temperature data of the period of abnormal regional temperature within the temperature variation period; Acquire corresponding temperature values ​​of multiple time periods according to the time period temperature data; Obtain corresponding temperature change values ​​according to temperature values ​​in multiple time periods and mark them as temperature change information; Obtaining a first compensation table, wherein the first compensation table includes a plurality of temperature change intervals and a first compensation coefficient corresponding to each temperature change interval; Obtaining a corresponding target temperature change interval according to the temperature change information; A corresponding first compensation coefficient is obtained from a first compensation table according to the target temperature variation interval.

6. The method for detecting the heat preservation performance of a vacuum cup based on infrared images according to claim 5, characterized in that: The steps of constructing a temperature variation period include: Get the time when the temperature in the determined area is abnormal and mark it as the start time; Obtaining an abnormal area time period table, wherein the abnormal area time period table includes a plurality of abnormal area intervals and a temperature change duration corresponding to each abnormal area interval; Obtain the target abnormal area interval according to the abnormal area value; According to the target abnormal area interval, the corresponding temperature change duration is obtained from the abnormal area time period table; Get the corresponding end time according to the temperature change duration and start time; Get the temperature change period based on the start time and end time.

7. The method for detecting the heat preservation performance of a vacuum cup based on infrared images according to claim 1, characterized in that: The step of obtaining a corresponding second compensation coefficient according to the regional temperature anomaly, and obtaining a comprehensive compensation coefficient according to the first compensation coefficient and the second compensation coefficient includes: Obtaining a second compensation table, wherein the second compensation table includes temperature distribution areas of a plurality of vacuum cups and a second compensation coefficient corresponding to each temperature distribution area; Obtain the corresponding target temperature distribution area according to the regional temperature anomaly; Obtaining a corresponding second compensation coefficient from a second compensation table according to the target temperature distribution area; A comprehensive compensation coefficient is obtained according to the first compensation coefficient and the second compensation coefficient.

8. The method for detecting the heat preservation performance of a vacuum cup based on infrared images according to claim 1, characterized in that: The steps of obtaining a thermal insulation test value according to the abnormal area value and the comprehensive compensation coefficient, obtaining a thermal insulation score according to the thermal insulation test value, and generating a test report include: Obtain thermal insulation detection values ​​based on abnormal area values ​​and comprehensive compensation coefficients; Obtain a scoring table, wherein the scoring table includes multiple insulation detection intervals and insulation scores corresponding to each insulation detection interval; Obtain a target thermal insulation detection interval according to the thermal insulation detection value; Obtain the corresponding insulation score from the score table according to the target insulation test interval and generate a test report.

9. A vacuum cup thermal insulation performance detection system based on infrared images, applied to the vacuum cup thermal insulation performance detection method based on infrared images as claimed in any one of claims 1 to 8, characterized in that: include: The first judgment module is used to obtain the surface temperature data of the vacuum cup to be detected, and judge whether the surface temperature data meets the first preset condition. If not, it is judged that the insulation of the vacuum cup to be detected is abnormal, and it is marked as an abnormal vacuum cup; A thermal radiation module is used to obtain thermal infrared image data of the abnormal vacuum cup, and obtain temperature and color information of corresponding multiple regions according to the thermal infrared image data; The second judgment module is used to obtain the appearance data of the abnormal vacuum cup, obtain the temperature value of each area according to the appearance data and the temperature color information of multiple areas, and judge whether the temperature value of each area meets the second preset condition. If not, it is judged that the area temperature is abnormal, and the corresponding abnormal area value is obtained; A first compensation module is used to construct a temperature change period, obtain temperature change data of regional temperature anomalies within the temperature change period, and obtain a first compensation coefficient according to the temperature change data; A comprehensive compensation module, used to obtain a corresponding second compensation coefficient according to the regional temperature anomaly, and to obtain a comprehensive compensation coefficient according to the first compensation coefficient and the second compensation coefficient; The insulation scoring module is used to obtain the insulation detection value according to the abnormal area value and the comprehensive compensation coefficient, obtain the insulation score according to the insulation detection value, and generate a detection report.

10. A vacuum cup heat preservation performance detection terminal based on infrared images, characterized in that: include: one or more processors; a storage device having one or more programs stored thereon; When one or more programs are executed by one or more processors, the one or more processors implement the method for detecting the thermal insulation performance of a vacuum cup based on infrared images as described in any one of claims 1 to 8.

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