Refrigerator body foaming layer bubble detection method and system

Abstract

The invention provides a method and a system for detecting bubbles of a foaming layer of a refrigerator body. The method comprises the following steps: acquiring a thermal imaging image of the refrigerator body after foaming is finished; analyzing the thermal imaging image to obtain a temperature distribution diagram, and marking point locations with temperature values higher than a preset temperature on the temperature distribution diagram to obtain a target mark; when the number of the target marks exceeds a preset number and / or the diameter of the point location corresponding to the target marks is greater than a preset size, sending a defect result; and outputting the temperature of the foaming raw material to be adjusted or the mold temperature based on the defect result. The bubble distribution condition is detected through the thermal imaging system, the size and number of the bubbles are directly obtained from the thermal imaging image, whether the bubbles in the foaming layer meet the technological standard or not is determined, and therefore the risk that the bubbles in the foaming layer are not found can be avoided, and the service life of the refrigerator body is prolonged. By adopting the system, the box foaming quality detection efficiency is greatly improved, and a worker is prevented from repeatedly dissecting the box.

Description

Technical Field

[0001] The present application relates to the technical field of refrigerators, and in particular to a method and system for detecting bubbles in a foaming layer of a refrigerator body. Background Art

[0002] In modern fast-paced life, refrigerators have been deeply integrated into people's daily lives and have become essential appliances for preserving ingredients and storing food in the home. Among the many indicators for measuring the quality of refrigerators, the thermal insulation performance of the cabinet is particularly critical. It not only determines the refrigeration efficiency of the refrigerator, but is also closely related to the energy consumption. It is one of the core elements for whether the refrigerator can operate stably and for a long time. Among the many technical means to improve the thermal insulation performance of the refrigerator cabinet, foaming technology plays a pivotal role. The current common refrigerator cabinet foaming process is to accurately inject foaming materials at a specific stage of the initial forming of the cabinet. These foaming materials expand rapidly under suitable environmental conditions and evenly fill the various space gaps inside the cabinet. After that, the foaming material gradually solidifies, and finally forms a foam layer with uniform texture and thermal insulation performance in the cabinet.

[0003] However, after the foaming process is completed, how to ensure that the foaming quality meets the expected standards has become a key issue that the industry has always paid attention to. At present, the commonly used detection method in the industry is to completely dissect the molded box. The technicians directly observe the bubble distribution of the foaming layer inside the box, including the size, number, density, and distribution uniformity of the bubbles, to comprehensively judge the quality of the foaming effect. Based on these observations, the technicians will make detailed adjustments to the foaming process parameters, such as adjusting the formula ratio of the foaming material, changing the injection pressure and speed, and optimizing the curing time and temperature. Especially when using complex foaming methods such as multi-gun injection, and adjusting the foaming process for a new model of box, it is often necessary to go through multiple rounds and repeated dissection inspection processes because there are more variables and uncertainties involved.

[0004] Traditional foaming processes and testing methods have many obvious drawbacks. From the perspective of performance impact, once bubbles appear in the foaming layer of the refrigerator body, even if only a small amount of bubbles, the uniformity and integrity of the foaming layer will be seriously damaged. This will directly lead to a significant reduction in the insulation performance of the refrigerator, making it easier for the cold in the box to be lost to the external environment. In order to maintain the low temperature environment in the box, the refrigerator's compressor has to start frequently, increasing the workload, which leads to a significant increase in the refrigerator's energy consumption. In this high-load operation state for a long time, the refrigerator's refrigeration system components will accelerate wear, and the refrigeration effect will gradually deteriorate, ultimately greatly shortening the overall service life of the refrigerator, causing unnecessary economic losses to consumers.

[0005] What is even more difficult is that some bubbles are hidden deep inside the foaming layer and cannot be detected by conventional naked eye direct observation. As time goes by and the refrigerator is used frequently, when the product has problems such as abnormal refrigeration, excessive temperature fluctuations, and excessive energy consumption, technicians will begin to gradually investigate the root cause of the problem. In this investigation process, it is often necessary to spend a lot of manpower for detailed detection and analysis, and use various professional equipment to conduct a comprehensive inspection of the refrigerator. At the same time, it is also necessary to consume a lot of material resources, such as testing reagents, replacement parts, etc. The entire investigation process is not only cumbersome and complicated, but the total amount of manpower, material resources and other types of resources consumed is difficult to accurately estimate, which brings huge challenges to the company's production and operation cost control.

[0006] In summary, the existing refrigerator cabinet foaming technology and the corresponding detection methods have exposed a series of technical defects in actual applications, such as cumbersome and lengthy detection process, serious waste of resources, and inability to detect internal bubble defects in a timely manner. Summary of the invention

[0007] The present application provides a method and system for detecting bubbles in the foaming layer of a refrigerator body, in order to solve the problems of the existing refrigerator body foaming technology and the corresponding detection methods, which in actual applications expose the problems of cumbersome and lengthy detection process, serious waste of resources and inability to timely detect internal bubble defects.

[0008] In a first aspect, the present application provides a method for detecting bubbles in a foaming layer of a refrigerator body, the method comprising:

[0009] Acquire a thermal imaging image of the refrigerator body after foaming is completed;

[0010] Analyzing the thermal imaging image to obtain a temperature distribution map, and marking points with temperature values ​​higher than a preset temperature on the temperature distribution map to obtain target marks;

[0011] When the number of the target marks exceeds a preset number and / or the diameter of the point corresponding to the target mark is greater than a preset size, a defect result is sent;

[0012] The temperature of the foaming raw material or the mold temperature to be adjusted is output based on the defect result.

[0013] In some possible implementations, the target marker includes a first target marker, a second target marker, a third target marker, and a fourth target marker, and the method further includes:

[0014] The points on the temperature distribution diagram whose temperature values ​​are higher than the preset temperature are determined as target points;

[0015] The target point is marked based on the diameter of the target point to obtain a first target mark, a second target mark, a third target mark and a fourth target mark respectively; wherein, the first target mark is added to the target point whose diameter matches the first preset size, the second target mark is added to the target point whose diameter matches the second preset size, the third target mark is added to the target point whose diameter matches the third preset size, and the fourth target mark is added to the target point whose diameter matches the fourth preset size; wherein the bubble severity relationship represented by the first target mark to the fourth target mark is sorted from large to small according to size.

[0016] When the number of the first target mark, the second target mark, the third target mark and the fourth target mark are all less than a preset number, a qualified result is sent; otherwise, a defective result is sent.

[0017] In some possible implementations, when the number of the first target marker, the second target marker, the third target marker, and the fourth target marker are all less than a preset number, sending a qualified result includes:

[0018] If the number of points of the first target mark is less than or equal to a first preset number, sending a first result;

[0019] If the number of points of the second target mark is less than or equal to a second preset number, sending a second result;

[0020] If the number of points of the third target mark is less than or equal to a third preset number, sending a third result;

[0021] If the number of points of the fourth target mark is less than or equal to a fourth preset number, sending a fourth result;

[0022] When the first result, the second result, the third result and the fourth result all exist, a qualified result is sent; otherwise, a defective result is sent.

[0023] In some possible implementations, sending defect results also includes:

[0024] When the number of points of the first target mark is greater than a first preset number, adjusting the temperature of the foaming raw material or the mold temperature;

[0025] When the number of points of the second target mark is greater than the second preset number, and / or when the number of points of the third target mark is greater than the third preset number, and / or when the number of points of the fourth target mark is greater than the fourth preset number, an exhaust hole is added at the position corresponding to the second target mark, and / or the position corresponding to the third target mark, and / or the position corresponding to the fourth target mark.

[0026] In some possible implementations, the adjustment range of the temperature of the foaming raw material or the mold temperature includes: the material temperature increases by 1 to 2° C., and the mold temperature increases by 3 to 6° C.

[0027] In some possible implementations, the first preset size is 1-2 cm, and the first preset number is 5.

[0028] In some possible implementations, the second preset size is 2 to 5 cm, and the second preset number is 3.

[0029] In some possible implementations, the third preset size is 5 to 10 cm, and the third preset number is 1.

[0030] In some possible implementations, the fourth preset size is 10 cm, and the fourth preset number is 0.

[0031] In a second aspect, the present application also provides a refrigerator body foam layer bubble detection system, the system comprising:

[0032] A collection module, used for collecting temperature;

[0033] An analysis module, used for receiving the temperature sent by the acquisition module, and sending the analyzed temperature distribution diagram to the display module;

[0034] A display module, used for receiving and displaying the temperature distribution graph sent by the analysis module;

[0035] The system is configured to execute the method for detecting bubbles in the foaming layer of a refrigerator body described in the first aspect.

[0036] From the above content, it can be seen that the present application provides a method and system for detecting bubbles in the foaming layer of a refrigerator body, the method comprising: obtaining a thermal imaging image of the refrigerator body after the foaming is completed; analyzing the thermal imaging image to obtain a temperature distribution map, and marking the points with temperature values ​​higher than the preset temperature on the temperature distribution map to obtain target marks; when the number of the target marks exceeds the preset number and / or the diameter of the point corresponding to the target mark is greater than the preset size, sending a defect result; outputting the temperature of the foaming raw material or the mold temperature to be adjusted based on the defect result. The present application adopts a thermal imaging system to detect the distribution of bubbles, directly obtains the size and number of bubbles from the thermal imaging image, and determines whether the bubbles in the foaming layer meet the process standards, thereby avoiding the risk of not finding bubbles in the foaming layer and prolonging the service life of the refrigerator body. The use of this system greatly improves the efficiency of the foaming quality inspection of the body, avoiding the staff from repeatedly dissecting the body. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solution of the present application, the drawings required for use in the embodiments are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0038] Figure 1 A flow chart of a method for detecting bubbles in a foam layer of a refrigerator body provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] The following embodiments are described in detail, and examples thereof are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following embodiments do not represent all implementations consistent with the present application. They are only examples of systems and methods consistent with some aspects of the present application as detailed in the claims.

[0040] In modern fast-paced life, refrigerators have been deeply integrated into people's daily lives and have become essential appliances for preserving ingredients and storing food in the home. Among the many indicators for measuring the quality of refrigerators, the thermal insulation performance of the cabinet is particularly critical. It not only determines the refrigeration efficiency of the refrigerator, but is also closely related to the energy consumption. It is one of the core elements for whether the refrigerator can operate stably and for a long time. Among the many technical means to improve the thermal insulation performance of the refrigerator cabinet, foaming technology plays a pivotal role. The current common refrigerator cabinet foaming process is to accurately inject foaming materials at a specific stage of the initial forming of the cabinet. These foaming materials expand rapidly under suitable environmental conditions and evenly fill the various space gaps inside the cabinet. After that, the foaming material gradually solidifies, and finally forms a foam layer with uniform texture and thermal insulation performance in the cabinet.

[0041] However, after the foaming process is completed, how to ensure that the foaming quality meets the expected standards has become a key issue that the industry has always paid attention to. At present, the commonly used detection method in the industry is to completely dissect the molded box. The technicians directly observe the bubble distribution of the foaming layer inside the box, including the size, number, density, and distribution uniformity of the bubbles, to comprehensively judge the quality of the foaming effect. Based on these observations, the technicians will make detailed adjustments to the foaming process parameters, such as adjusting the formula ratio of the foaming material, changing the injection pressure and speed, and optimizing the curing time and temperature. Especially when using complex foaming methods such as multi-gun injection, and adjusting the foaming process for a new model of box, it is often necessary to go through multiple rounds and repeated dissection inspection processes because there are more variables and uncertainties involved.

[0042] Traditional foaming processes and testing methods have many obvious drawbacks. From the perspective of performance impact, once bubbles appear in the foaming layer of the refrigerator body, even if only a small amount of bubbles, the uniformity and integrity of the foaming layer will be seriously damaged. This will directly lead to a significant reduction in the insulation performance of the refrigerator, making it easier for the cold in the box to be lost to the external environment. In order to maintain the low temperature environment in the box, the refrigerator's compressor has to start frequently, increasing the workload, which leads to a significant increase in the refrigerator's energy consumption. In this high-load operation state for a long time, the refrigerator's refrigeration system components will accelerate wear, and the refrigeration effect will gradually deteriorate, ultimately greatly shortening the overall service life of the refrigerator, causing unnecessary economic losses to consumers.

[0043] What is even more difficult is that some bubbles are hidden deep inside the foaming layer and cannot be detected by conventional naked eye direct observation. As time goes by and the refrigerator is used frequently, when the product has problems such as abnormal refrigeration, excessive temperature fluctuations, and excessive energy consumption, technicians will begin to gradually investigate the root cause of the problem. In this investigation process, it is often necessary to spend a lot of manpower for detailed detection and analysis, and use various professional equipment to conduct a comprehensive inspection of the refrigerator. At the same time, it is also necessary to consume a lot of material resources, such as testing reagents, replacement parts, etc. The entire investigation process is not only cumbersome and complicated, but the total amount of manpower, material resources and other types of resources consumed is difficult to accurately estimate, which brings huge challenges to the company's production and operation cost control.

[0044] In summary, the existing refrigerator cabinet foaming technology and the corresponding detection methods have exposed a series of technical defects in actual applications, such as cumbersome and lengthy detection process, serious waste of resources, and inability to detect internal bubble defects in a timely manner.

[0045] Based on this, the present application provides a method and system for detecting bubbles in the foaming layer of a refrigerator body. The temperature distribution map is obtained by thermal imaging image analysis, and the points with temperature values ​​higher than the preset temperature are marked, which can accurately locate the positions where bubbles may exist in the foaming layer of the refrigerator. The preset number and preset size are set, and the number of target marks and the point diameter are compared to determine whether to send defect results, thereby realizing quantitative judgment of bubble defects. When the number of target marks exceeds the preset number and / or the diameter of the point corresponding to the target mark is greater than the preset size, the defect results are sent in a timely manner, so that production personnel can quickly understand the problems existing in the current foaming process.

[0046] In some embodiments, the present application provides a method for detecting bubbles in a foam layer of a refrigerator body, such as Figure 1 As shown, the method includes:

[0047] Acquire a thermal imaging image of the refrigerator body after foaming is completed;

[0048] Analyzing the thermal imaging image to obtain a temperature distribution map, and marking points with temperature values ​​higher than a preset temperature on the temperature distribution map to obtain target marks;

[0049] When the number of the target marks exceeds a preset number and / or the diameter of the point corresponding to the target mark is greater than a preset size, a defect result is sent;

[0050] The temperature of the foaming raw material or the mold temperature to be adjusted is output based on the defect result.

[0051] This application obtains a temperature distribution map through thermal imaging image analysis, and marks the points where the temperature value is higher than the preset temperature, which can accurately locate the location where bubbles may exist in the foaming layer of the refrigerator. Because the presence of bubbles will affect the thermal conductivity of the foaming layer, causing the local temperature to rise abnormally, this marking method based on temperature analysis can effectively identify potential bubble defects, which is more accurate and intuitive than traditional detection methods.

[0052] By setting the preset number and preset size, comparing the number of target marks and the point diameter to determine whether to send the defect result, the quantitative judgment of bubble defects is realized. This quantitative method makes the defect judgment more objective and standardized, avoids the subjectivity and uncertainty of human judgment, and improves the reliability and consistency of the detection results.

[0053] When the number of target marks exceeds the preset number and / or the diameter of the point corresponding to the target mark is greater than the preset size, the defect results are sent in time, so that production personnel can quickly understand the problems in the current foaming process. This helps production personnel take timely measures to make adjustments to avoid more defective products in subsequent production links, thereby improving the controllability and production efficiency of the production process. Based on the defect results, the temperature of the foaming raw material or the mold temperature to be adjusted is output, and the production parameters can be optimized in a targeted manner. By adjusting the temperature of the foaming raw material or the mold temperature, the temperature distribution in the foaming process can be improved, the generation of bubbles can be reduced, and the quality of the foaming layer can be improved, thereby improving the overall production quality of the refrigerator.

[0054] Since the bubble defect problem can be discovered and solved in time, the production of defective products is reduced, and the waste of raw materials and rework costs are reduced. At the same time, after optimizing the production parameters, the production process is more stable and efficient, which further reduces the production cost and improves the economic benefits of the enterprise. Reducing the bubbles in the foam layer can improve the performance indicators of the refrigerator, such as thermal insulation performance, mechanical strength and sealing. Because bubbles will affect the thermal insulation effect and structural stability of the foam layer, reducing bubbles by detection and adjustment can enable the refrigerator to better maintain the internal temperature, extend the service life, and improve the user experience.

[0055] In some embodiments, the target marker includes a first target marker, a second target marker, a third target marker, and a fourth target marker, and the method further includes:

[0056] The points on the temperature distribution diagram whose temperature values ​​are higher than the preset temperature are determined as target points;

[0057] The target point is marked based on the diameter of the target point, and a first target mark, a second target mark, a third target mark and a fourth target mark are obtained respectively; wherein the first target mark is added to the target point whose diameter matches the first preset size, the second target mark is added to the target point whose diameter matches the second preset size, the third target mark is added to the target point whose diameter matches the third preset size, and the fourth target mark is added to the target point whose diameter matches the fourth preset size;

[0058] When the number of the first target mark, the second target mark, the third target mark and the fourth target mark are all less than a preset number, a qualified result is sent; otherwise, a defective result is sent.

[0059] By identifying the points on the temperature distribution map with temperature values ​​higher than the preset temperature as target points, the locations where bubbles may exist in the foaming layer of the refrigerator can be accurately found. The target points are classified and marked according to their diameters, and different types of target marks (first target mark, second target mark, third target mark and fourth target mark) are obtained, which realizes the quantification of the degree of bubbles. Target points of different diameters reflect the differences in bubble size. Through this classification method, the distribution and severity of bubbles in the foaming layer can be understood in more detail, providing a more specific basis for subsequent evaluation and treatment. Whether the number of each type of target mark is less than the preset number is used as the standard for judging whether the foaming layer is qualified, making the evaluation of the quality of the foaming layer more objective and standardized.

[0060] When it is detected that the number of the first target mark, the second target mark, the third target mark, and the fourth target mark does not meet the preset number, the defect result is sent in time, so that the production personnel can quickly understand the problems in the current foaming process. By timely discovering and feedback the quality problems of the foaming layer, the production of defective products can be reduced, and the waste of raw materials and rework costs can be reduced. At the same time, accurate quality assessment can avoid unnecessary processing of qualified products, further reduce production costs, and improve the economic benefits of the enterprise.

[0061] In some embodiments, when the number of the first target marker, the second target marker, the third target marker, and the fourth target marker are all less than a preset number, sending a qualified result includes:

[0062] If the number of points of the first target mark is less than or equal to a first preset number, sending a first result;

[0063] If the number of points of the second target mark is less than or equal to a second preset number, sending a second result;

[0064] If the number of points of the third target mark is less than or equal to a third preset number, sending a third result;

[0065] If the number of points of the fourth target mark is less than or equal to a fourth preset number, sending a fourth result;

[0066] When the first result, the second result, the third result and the fourth result all exist, a qualified result is sent; otherwise, a defective result is sent. The bubble severity relationship represented by the first target mark to the fourth target mark is sorted from large to small according to size, that is, the bubble defect corresponding to the fourth target mark is the most serious, and the bubble defect corresponding to the first target mark is the lightest.

[0067] A qualified result is sent when the number of the first target mark to the fourth target mark is less than the preset number; wherein, the number of the first target mark points is less than or equal to the first preset number, which is a condition for judging whether the number of the first target mark meets the qualified requirements. The first result is sent only when the number of the first target mark points is less than or equal to the first preset number, otherwise the first result will not be sent. Similarly, for other target marks (the second target mark, the third target mark and the fourth target mark), the second result, the third result and the fourth result are sent only when they are less than the preset number. When judging whether the bubbles in the foaming layer of the box body meet the requirements, it is qualified only if the first result, the second result, the third result and the fourth result exist at the same time, otherwise there are defects.

[0068] In some embodiments, sending the defect result further includes:

[0069] When the number of points of the first target mark is greater than a first preset number, adjusting the temperature of the foaming raw material or the mold temperature;

[0070] When the number of points of the second target mark is greater than the second preset number, and / or when the number of points of the third target mark is greater than the third preset number, and / or when the number of points of the fourth target mark is greater than the fourth preset number, an exhaust hole is added at the position corresponding to the second target mark, and / or the position corresponding to the third target mark, and / or the position corresponding to the fourth target mark.

[0071] When the number of points of the first target mark is greater than the first preset number, the temperature of the foaming raw material or the mold temperature is adjusted, which reflects the precise control of the parameters in the production process. Since the number of points of the first target mark increases abnormally, it means that the bubbles may be generated due to the inappropriate temperature of the foaming raw material or the mold temperature. By adjusting the temperature in a targeted manner, the foaming process can be optimized, making the foaming reaction more stable and uniform, thereby reducing the generation of bubbles and improving the quality of the foaming layer.

[0072] When the number of points of the second, third, and fourth target marks is greater than the respective preset number, vent holes are added at the corresponding positions. This approach is to reduce bubbles from the perspective of mold structure optimization. Different target marks correspond to different positions, indicating that there are bubble aggregation problems at these positions. Adding vent holes can effectively improve the gas discharge in the mold, so that the gas generated during the foaming process can be discharged in time, avoiding gas accumulation to form bubbles, and thus improving the density and uniformity of the foaming layer. Different types of target marks and their point numbers are judged and processed separately, so that the causes and locations of bubble generation can be analyzed in more detail. Different target marks may represent different bubble characteristics or generation mechanisms. Through this classification detection and processing method, the accuracy and pertinence of bubble detection are improved, which helps to solve the bubble problem in the foaming layer more comprehensively.

[0073] The above method can effectively reduce the number and size of bubbles in the foaming layer by timely adjusting production parameters and optimizing the mold structure, thereby reducing the defective rate caused by bubble defects. In the production process, the reduction of defective products means less waste of raw materials, improved production efficiency, reduced production costs, and improved economic benefits of the enterprise. The reduction of bubbles improves the thermal insulation performance, mechanical strength, and sealing properties of the refrigerator foaming layer. The uniformity and density of the foaming layer have an important influence on the heat insulation, pressure resistance, and sealing properties of the refrigerator. By reducing bubbles, the refrigerator can better maintain the internal temperature, improve its mechanical stability, and prevent outside air from entering, thereby improving the overall performance of the product and user experience.

[0074] In some embodiments, the adjustment range of the temperature of the foaming raw material or the mold temperature includes: the material temperature increases by 1-2°C, and the mold temperature increases by 3-6°C.

[0075] If the foaming reaction speed is too fast due to the high raw material temperature, resulting in rapid gas generation but no time for uniform dispersion to form bubbles, the raw material temperature needs to be appropriately lowered. Generally, the raw material temperature can be lowered to about 20℃~25℃. When the ambient temperature is high in summer, the raw material temperature is easy to rise. Cooling measures can be taken, such as air cooling or water cooling of the raw material tank, to prevent the raw material temperature from being too high and causing foaming problems. When the raw material temperature is too low, the reaction will be incomplete or the reaction speed will be too slow, the gas will not be fully released, and bubbles may also be formed. At this time, the raw material temperature should be appropriately increased, such as to 25℃~30℃. When the ambient temperature is low in winter, the raw materials can be preheated to keep the raw material temperature in an appropriate range.

[0076] If the mold temperature is too high, the foaming reaction will be too intense, the bubble growth rate will be fast and difficult to control, resulting in bubbles that are too large or uneven, and there may also be problems such as bubbles sticking to the mold surface. Usually, the mold temperature needs to be lowered, such as from above 45°C to 35°C~40°C. If the mold temperature is too low, the fluidity of the foaming material in the mold will deteriorate, the gas will be difficult to discharge, and it will easily gather to form bubbles. At the same time, it may also affect the adhesion between the foaming material and the mold. At this time, the mold temperature should be appropriately increased, which can be increased to 35°C~40°C. In the early stage of foaming, the mold temperature can be appropriately increased to speed up the emulsification and rising speed of the raw materials and make the bubble nucleus form evenly; in the middle and late stages of foaming, the mold temperature should be appropriately reduced or kept stable according to the foaming situation, which is conducive to the stable growth and solidification of bubbles and prevents bubbles from breaking or merging.

[0077] In some embodiments, the first preset size is 1-2 cm, and the first preset number is 5.

[0078] In some embodiments, the second preset size is 2-5 cm, and the second preset number is 3.

[0079] In some embodiments, the third preset size is 5-10 cm, and the third preset number is 1.

[0080] In some embodiments, the fourth preset size is 10 cm, and the fourth preset number is 0.

[0081] This application uses foaming raw materials and molds at different temperatures to conduct multiple foaming experiments. During each experiment, a thermal imaging system is used to monitor the temperature changes of the foaming layer in real time, and the final foaming results, including the number, size and distribution of bubbles, are recorded. By analyzing these experimental data, a temperature range is found within which the number of bubbles in the foaming layer is small and evenly distributed, thereby determining the approximate value of the preset temperature. For example, after many experiments, it was found that when the temperature of the foaming raw material is between 25°C and 30°C and the mold temperature is between 35°C and 40°C, the bubble condition of the foaming layer is good, so the preset temperature can be further fine-tuned on this basis. Analyze the quality of the foaming layer of refrigerators produced under different temperature conditions and find the temperature range corresponding to good foaming quality. If historical data shows that when the mold temperature is kept at around 38°C, the foaming layer has fewer bubble defects, then this temperature can be used as one of the reference values ​​for the preset temperature.

[0082] Different types of foaming raw materials have different thermal properties, such as specific heat capacity, thermal conductivity, etc. These characteristics will affect the temperature change and bubble generation during the foaming process. Therefore, when determining the preset temperature, it is necessary to fully consider the characteristics of the foaming raw materials. For example, some new foaming raw materials may require a higher temperature to fully react, while some traditional raw materials can achieve better foaming effects at a lower temperature. The preset temperature should be adjusted according to the specific characteristics of the raw materials. The heating and cooling capacity of the foaming equipment will also affect the determination of the preset temperature. If the heating efficiency of the equipment is low, the preset temperature may need to be appropriately increased to ensure the smooth progress of the foaming reaction; conversely, if the cooling speed of the equipment is fast, the preset temperature can be reduced accordingly. In addition, the temperature control accuracy of the equipment also needs to be considered to ensure that the preset temperature is within the range that the equipment can accurately control.

[0083] Determine the acceptable range of bubble sizes based on the design and performance requirements of the refrigerator. Smaller bubbles have less impact on the refrigerator's thermal insulation performance, mechanical strength, etc., while larger bubbles may seriously affect product performance. For example, for high-end refrigerators, in order to ensure better thermal insulation, it may be required that the bubble diameter in the foam layer cannot exceed a certain value, such as 10cm, and this value can be used as a reference for the preset size. Test the foam layers of a large number of refrigerators that have been produced, measure the size of the bubbles therein, and perform statistical analysis. Calculate the statistical quantities such as the mean, median, and standard deviation of the bubble size to understand the distribution of the bubble size. Based on the statistical results and combined with the product quality requirements, determine a reasonable preset size.

[0084] This application uses a thermal imaging system to accurately detect the number and size of bubbles, and adjusts the mold temperature based on this information to make the foaming process more uniform and stable. For areas with a large number of bubbles, appropriately lowering the mold temperature can slow down the foaming reaction rate, allowing the gas more time to disperse evenly and reduce the generation of bubbles; for areas with larger bubbles, adjusting the mold temperature can help control the growth of bubbles and prevent them from further expanding, thereby improving the density and uniformity of the foaming layer and improving the overall foaming quality. Adjusting the mold temperature can not only reduce the number of bubbles and make the foaming layer denser, but also help control the size of the bubbles, further improving the uniformity and stability of the foaming layer.

[0085] The presence of bubbles will destroy the thermal insulation performance of the refrigerator foam layer. After adjusting the mold temperature according to the bubble situation, the number of bubbles can be effectively reduced and the size of bubbles can be controlled, making the foam layer denser. This can reduce heat transfer, improve the thermal insulation effect of the refrigerator, reduce energy loss, and reduce the operating cost of the refrigerator. At the same time, it can also better maintain the temperature inside the refrigerator stable, which is conducive to the preservation and storage of food. The uniform and dense foam layer can provide better support and protection for the refrigerator body and enhance its mechanical strength. When the mold temperature is adjusted according to the bubble distribution and the bubbles are reduced, the structure of the foam layer is more stable, and it is less likely to be damaged or deformed when it is hit or squeezed by external forces, which extends the service life of the refrigerator and improves the reliability of the product.

[0086] If bubbles appear in the foam layer near the sealing part between the refrigerator door and the cabinet, it will affect the sealing effect. By reducing the bubbles in this area through thermal imaging detection and mold temperature adjustment, it can ensure that the foam layer in the sealing part is tighter, improve the sealing between the refrigerator door and the cabinet, prevent the outside hot air from entering the refrigerator, reduce the load of the refrigeration system, and improve the refrigeration efficiency. Accurately controlling the mold temperature and reducing the generation of bubbles can reduce the defective rate caused by foaming quality problems.

[0087] In some embodiments, the present application also provides a refrigerator body foam layer bubble detection system, the system comprising:

[0088] The acquisition module is used to collect temperature; the acquisition module collects the temperature of a specific part of the refrigerator body, such as the surface of the foam layer of the body or a specific area of ​​the foam layer specified by the user;

[0089] An analysis module, used for receiving the temperature sent by the acquisition module, and sending the analyzed temperature distribution diagram to the display module;

[0090] A display module, used for receiving and displaying the temperature distribution graph sent by the analysis module;

[0091] The system is configured to execute the bubble detection method for the foaming layer of a refrigerator body described in the above embodiment.

[0092] The acquisition module contains several groups of thermal imaging probes, which can collect the temperature of objects and have a 360-degree detection function; the analysis module can receive the temperature sent by the acquisition module and send the temperature distribution map to the display module; the display module can receive the temperature distribution map of the analysis module and display it in three dimensions. The system can make the temperature distribution map into a dynamic video or a static picture; at the same time, the temperature distribution map corresponds to the product one by one, which is convenient for the staff to view in real time.

[0093] The acquisition module is installed on the unloading position of the box foaming conveyor. When the box is unloaded after foaming, the acquisition probe is placed in the middle of the box by the manipulator. Since the foaming reaction is an exothermic reaction, the temperature distribution diagram can be collected more clearly. When bubbles appear in the foaming box, the bubbles contain gas, so the temperature is higher than the surrounding foam. Therefore, the places / points with high temperatures on the temperature distribution diagram can be regarded as bubbles. Then adjust the foaming process according to the location and distribution of the bubbles.

[0094] The analysis module is installed in the operation box of the bubble detection system of the foaming layer of the refrigerator body.

[0095] The display module is installed next to the operating table of the bubble detection system of the refrigerator body foaming layer to facilitate staff viewing.

[0096] The method of use of this application is that after the box body is foamed normally, the conveying trolley conveys the foamed box body to the unloading position of the trolley. After the refrigerator box body is in place, the manipulator places several groups of detection heads of the acquisition module in the middle of the box body. Then the acquisition probe starts to collect the box body temperature 360 ​​degrees and transmits it to the analysis module. The analysis module converts the collected temperature information into a temperature distribution map and transmits it to the display module; the display module displays the temperature distribution map for the convenience of staff detection. When the foaming quality is unqualified, the corresponding box body will be adjusted in process and foamed again, and then tested and observed until the quality is qualified.

[0097] The bubble detection system of the foam layer of the refrigerator body can intuitively present the temperature distribution of the foam layer of the refrigerator, and then reflect the bubble situation. Through the detection results of the system, carefully observe the temperature distribution of different parts of the mold, and find out the relationship between the abnormal temperature area and the location of the bubble generation. For example, if the temperature is high and the bubbles are dense in a corner of the mold, it may be caused by poor heat dissipation or uneven heat transfer in this part. Based on this analysis, the structure of the mold is adjusted in a targeted manner, such as increasing the heat dissipation channel of this part or optimizing the wall thickness of the mold to improve the temperature distribution and reduce the generation of bubbles. The thermal imaging detection results, that is, the thermal imaging image, can show the temperature changes during the cooling process of the mold. According to the detected temperature change rate and unevenness, the cooling water path layout of the mold is optimized. For areas with too fast or too slow cooling speed, adjust the direction of the cooling water path, the pipe diameter or the flow rate of the cooling medium to make the cooling of various parts of the mold more uniform. This can avoid the problem of uneven foaming and bubbles caused by improper local cooling and improve the foaming quality.

[0098] The distribution of bubbles detected by the system can help determine the gas discharge situation inside the mold. If bubbles often appear in certain areas, it may be that the exhaust of that part is not smooth. According to the test results, add exhaust grooves or exhaust holes at the corresponding positions of the mold, optimize the exhaust path, and ensure that the gas generated during the foaming process can be discharged from the mold in time. Reasonable exhaust design can reduce the formation of bubbles and improve the density of the foaming layer.

[0099] The roughness of the mold surface will affect the contact and fluidity between the foaming material and the mold surface, and thus affect the generation of bubbles. In the defect results, if it is found that the bubbles in certain areas are related to the mold surface, such as bubbles concentrated in specific textures or bumps on the mold surface, you can consider adjusting the roughness of the mold surface. For areas prone to bubble generation, reduce the surface roughness so that the foaming material can flow and fill more smoothly and reduce the generation of bubbles; and for some areas where friction needs to be increased to prevent the foaming material from flowing too fast, the surface roughness can be appropriately increased.

[0100] Thermal imaging can also reflect the foaming situation at the mold parting surface. If there are many bubbles near the parting surface, it may be due to poor sealing or unreasonable design of the parting surface, resulting in gas leakage or uneven filling of the foaming material. According to the test results, optimize the parting surface design of the mold, such as improving the sealing structure, adjusting the angle and shape of the parting surface, ensuring the foaming quality at the parting surface, and reducing the generation of bubbles.

[0101] According to the bubble distribution and temperature difference detected by thermal imaging, the mold structure with local temperature control function is designed. For example, an independent heating or cooling device is set in the area where bubbles are prone to be generated, which can accurately control the temperature of the area according to the needs of the foaming process. This can better meet the foaming requirements of different parts, reduce the generation of bubbles, and improve the consistency and quality of foaming.

[0102] As can be seen from the above embodiments, the present application provides a method and system for detecting bubbles in the foaming layer of a refrigerator body, the method comprising: obtaining a thermal imaging image of the refrigerator body after foaming; analyzing the thermal imaging image to obtain a temperature distribution map, and marking the points with temperature values ​​higher than a preset temperature on the temperature distribution map to obtain target marks; when the number of target marks exceeds the preset number and / or the diameter of the point corresponding to the target mark is greater than the preset size, sending a defect result; outputting the temperature of the foaming raw material or the mold temperature to be adjusted based on the defect result. The present application uses a thermal imaging system to detect the distribution of bubbles, directly obtains the size and number of bubbles from the thermal imaging image, and determines whether the bubbles in the foaming layer meet the process standards, thereby avoiding the risk of not finding bubbles in the foaming layer and prolonging the service life of the refrigerator body. The use of this system greatly improves the efficiency of the foaming quality inspection of the body, avoiding the staff from repeatedly dissecting the body.

[0103] Similar parts between the embodiments provided in this application can be referenced to each other. The specific implementation methods provided above are only a few examples under the general concept of this application and do not constitute a limitation on the protection scope of this application. For those skilled in the art, any other implementation methods expanded based on the scheme of this application without creative work belong to the protection scope of this application.

Claims

1. A method for detecting bubbles in a foaming layer of a refrigerator body, characterized in that: The method comprises: Acquire a thermal imaging image of the refrigerator body after foaming is completed; Analyzing the thermal imaging image to obtain a temperature distribution map, and marking points with temperature values ​​higher than a preset temperature on the temperature distribution map to obtain target marks; When the number of the target marks exceeds a preset number and / or the diameter of the point corresponding to the target mark is greater than a preset size, a defect result is sent; The temperature of the foaming raw material or the mold temperature to be adjusted is output based on the defect result.

2. The method for detecting bubbles in the foaming layer of a refrigerator body according to claim 1, characterized in that: The target marker includes a first target marker, a second target marker, a third target marker and a fourth target marker, and the method further includes: The points on the temperature distribution diagram whose temperature values ​​are higher than the preset temperature are determined as target points; The target point is marked based on its diameter, and a first target mark, a second target mark, a third target mark and a fourth target mark are obtained respectively; wherein the first target mark is added to the target point whose diameter matches the first preset size, the second target mark is added to the target point whose diameter matches the second preset size, the third target mark is added to the target point whose diameter matches the third preset size, and the fourth target mark is added to the target point whose diameter matches the fourth preset size; When the number of the first target mark, the second target mark, the third target mark and the fourth target mark are all less than a preset number, a qualified result is sent; otherwise, a defective result is sent.

3. The method for detecting bubbles in the foaming layer of a refrigerator body according to claim 2, characterized in that: When the number of the first target marker, the second target marker, the third target marker, and the fourth target marker are all less than a preset number, sending a qualified result includes: If the number of points of the first target mark is less than or equal to a first preset number, sending a first result; If the number of points of the second target mark is less than or equal to a second preset number, sending a second result; If the number of points of the third target mark is less than or equal to a third preset number, sending a third result; If the number of points of the fourth target mark is less than or equal to a fourth preset number, sending a fourth result; When the first result, the second result, the third result and the fourth result all exist, a qualified result is sent; otherwise, a defective result is sent.

4. The method for detecting bubbles in the foaming layer of a refrigerator body according to claim 3, characterized in that: Sending defect results also includes: When the number of points of the first target mark is greater than a first preset number, adjusting the temperature of the foaming raw material or the mold temperature; When the number of points of the second target mark is greater than the second preset number, and / or when the number of points of the third target mark is greater than the third preset number, and / or when the number of points of the fourth target mark is greater than the fourth preset number, an exhaust hole is added at the position corresponding to the second target mark, and / or the position corresponding to the third target mark, and / or the position corresponding to the fourth target mark.

5. The method for detecting bubbles in the foaming layer of a refrigerator body according to claim 4, characterized in that: The adjustment range of the temperature of the foaming raw material or the mold temperature includes: the material temperature increases by 1 to 2°C, and the mold temperature increases by 3 to 6°C.

6. The method for detecting bubbles in the foaming layer of a refrigerator body according to claim 4, characterized in that: The first preset size is 1-2 cm, and the first preset number is 5.

7. The method for detecting bubbles in the foaming layer of a refrigerator body according to claim 4, characterized in that: The second preset size is 2-5 cm, and the second preset number is 3.

8. The method for detecting bubbles in the foaming layer of a refrigerator body according to claim 4, characterized in that: The third preset size is 5-10 cm, and the third preset number is 1.

9. The method for detecting bubbles in the foaming layer of a refrigerator body according to claim 4, characterized in that: The fourth preset size is 10 cm, and the fourth preset quantity is 0.

10. A bubble detection system for a refrigerator body foam layer, characterized in that: The system comprises: A collection module, used for collecting temperature; An analysis module, used for receiving the temperature sent by the acquisition module, and sending the analyzed temperature distribution diagram to the display module; A display module, used for receiving and displaying the temperature distribution graph sent by the analysis module; The system is configured to execute the refrigerator body foam layer bubble detection method according to any one of claims 1-9.

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