A sampling test system for the heat insulation capacity of a carbon dioxide cryogenic storage tank

Abstract

The present application relates to the field of low-temperature tank testing, and aims to solve the problem that the existing detection system cannot obtain the weak or defective points of the tank body, thereby failing to optimize the production process and improve the yield, and particularly relates to a sampling test system for the heat insulation capacity of a carbon dioxide low-temperature tank; in the present application, uniform distribution sampling points are created during product production, and sample selection is performed in each sampling point, which can not only uniformly distribute sampling in different production times, but also find the yield difference of products produced at different times through the sampling point sampling aggregation, thereby providing data basis for production line optimization, in addition, through regional detection of the tank, the area with unqualified heat insulation performance can be directly located according to the detection result, and the detection result is combined with the sampling distribution for record, so that the defective rate and unqualified area type of different sampling points can be counted according to the sampling distribution, thereby facilitating subsequent production optimization.

Description

Technical Field

[0001] This invention relates to the field of cryogenic storage tank testing, specifically a sampling test system for the insulation capacity of a carbon dioxide cryogenic storage tank. Background Technology

[0002] The cryogenic liquid carbon dioxide storage tank adopts a double-layer container structure. The inner container is made of cryogenic stainless steel, and the outer container is made of carbon structural steel. The interlayer is filled with heat insulation material and vacuum treatment is implemented. The storage tank is available in both vertical and horizontal forms, with a volume ranging from 5 to 200 cubic meters. It is suitable for the liquefied gas storage needs in the fields of petrochemicals and machinery manufacturing. Its safety system is equipped with a combined dual-valve redundant protection device. The liquid level monitoring adopts a combination of differential pressure instrument and mechanical reference table. The outer shell is coated with an epoxy zinc-rich anti-corrosion coating to cope with complex industrial environments.

[0003] In the cryogenic storage tanks for carbon dioxide, the low temperature inside is the key to ensuring the safe and good storage of carbon dioxide. Therefore, during the production process of cryogenic storage tanks for carbon dioxide, samples are usually taken from each production batch to ensure that the quality of the same batch of products meets the design standard requirements.

[0004] Currently, the insulation capacity of cryogenic storage tanks is generally tested using the evaporation loss rate of the internal cryogenic liquid and the static storage time. However, this method is time-consuming and, moreover, it is a consequence-based assessment. While it can infer whether the tank's insulation performance meets the requirements, it cannot identify the weak points or defects in the tank's insulation when the insulation performance is substandard. Consequently, when the defect rate is too high, it is difficult to detect production process defects based on the test results, thus reducing the effectiveness of sample testing.

[0005] To address the aforementioned technical problems, this application proposes a solution. Summary of the Invention

[0006] This invention, when inspecting products, separately tests different areas of the product to obtain the insulation performance of the main tank body, the insulation performance of additional pipelines, and the overall dynamic insulation performance. Based on the test results, it can directly locate areas with substandard insulation performance. The test results are then combined and recorded with the sampling distribution, thereby statistically determining the defect rate and types of substandard areas at different sampling points. This facilitates subsequent production optimization and solves the problem that existing testing systems cannot identify insulation weaknesses or defects in the tank, thus hindering production process optimization and yield improvement. Therefore, this invention proposes a sampling test system for the insulation capacity of carbon dioxide cryogenic storage tanks.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A sampling test system for the insulation capacity of a carbon dioxide cryogenic storage tank includes a detection sampling module, a pipeline testing module, a tank testing module, a dynamic maintenance monitoring module, and a result evaluation module. The detection sampling module can obtain the product size of the carbon dioxide cryogenic storage tank, analyze the product size, and generate a detection distribution based on the analysis results.

[0009] The pipeline testing module is used to test the pipeline components of the carbon dioxide cryogenic storage tank and obtain pipeline performance data based on the test results.

[0010] The tank testing module is used to test the tank body of the carbon dioxide cryogenic storage tank and obtain the main performance data based on the test results.

[0011] The dynamic maintenance monitoring module can monitor the entire carbon dioxide cryogenic storage tank during the test, obtain real-time temperature change data, and obtain the product's dynamic performance.

[0012] The result evaluation module acquires pipeline performance data, main body performance data, and product dynamic performance through the pipeline testing module, tank testing module, and dynamic maintenance monitoring module, and integrates multiple results to generate performance test results. The result evaluation module obtains the detection distribution through the detection sampling module and generates the final sampling results based on the detection distribution and performance test results.

[0013] In a preferred embodiment of the present invention, the product scale of the carbon dioxide cryogenic storage tank obtained by the detection sampling module includes the production quantity and production time. The sampling detection module calculates the sampling quantity by multiplying the production quantity by a set ratio.

[0014] After obtaining the sampling quantity, the detection sampling module arranges the obtained carbon dioxide cryogenic storage tank products in order of production time, sets i sampling points at equal intervals in the time sequence, and sets m sampling quantities for each sampling point, where i and m are both non-zero natural numbers, and the product of i and m is equal to the sampling quantity.

[0015] The detection sampling module uses the sampling quantity at the corresponding sampling point as the sample to be tested.

[0016] In a preferred embodiment of the present invention, the pipeline components tested by the pipeline testing module include a safety overflow pipeline, a filling pipeline, a vacuum relief device, and a pressurization and throttling pipeline.

[0017] When the pipeline testing module tests the pipeline components, it captures the infrared image of the carbon dioxide cryogenic storage tank through an infrared camera, extracts the RGB colors in the image, obtains the temperature data of the pipeline components in the image, and records it as the pipeline exposure temperature.

[0018] The pipeline testing module simultaneously acquires the ambient temperature of the product's environment and the set internal temperature of the cryogenic storage tank. The pipeline testing module obtains the dynamic temperature difference by calculating the temperature difference between the ambient temperature and the internal temperature.

[0019] The pipeline testing module performs formula analysis using dynamic temperature difference, pipeline exposure temperature, and set heat transfer coefficient parameters to obtain the pipeline insulation coefficient, which is then compared with a set threshold. The comparison result is used as pipeline performance data.

[0020] In a preferred embodiment of the present invention, when the tank body testing module tests the tank body of the carbon dioxide cryogenic storage tank, it acquires infrared images of the tank body through an infrared camera and performs RGB analysis on the infrared images of the tank body to obtain the temperature of the tank body surface. At the same time, it obtains the dynamic temperature difference through the pipeline testing module and calculates the ideal surface temperature by using the dynamic temperature difference and the corresponding heat transfer coefficient parameters of the tank body.

[0021] The tank testing module sets up a matrix of multiple sampling points on the surface of the tank and records the temperature of each matrix point. The tank testing module compares the temperature of the matrix points with the ideal surface temperature to obtain the number of qualified points and the number of unqualified points. The tank testing module compares the number of qualified points with the total number of points to obtain the compliance rate.

[0022] In a preferred embodiment of the present invention, the tank testing module performs extreme value analysis on the temperature of the tank surface to obtain the highest temperature region and the lowest temperature region on the tank surface.

[0023] The tank testing module compares the highest temperature area with the ideal surface temperature to obtain the optimal difference, compares the lowest temperature area with the ideal surface temperature to obtain the lowest difference, and then compares the highest temperature area with the lowest temperature area to obtain the distribution difference.

[0024] The tank testing module performs threshold judgments on the optimal difference, minimum difference, and distribution difference, and uses the judgment results as the test results for thermal insulation performance and tank uniformity, respectively, and records them as the main performance data.

[0025] In a preferred embodiment of the present invention, the dynamic maintenance monitoring module acquires the surface temperature of the carbon dioxide cryogenic storage tank in real time during the test of the carbon dioxide cryogenic storage tank, and extracts data at the start point, end point and multiple time points during the entire test process, respectively as the initial temperature, process temperature and end temperature.

[0026] The dynamic maintenance monitoring module obtains the ideal surface temperature through the tank testing module, and compares and analyzes the initial temperature, process temperature, and final temperature with the ideal surface temperature to obtain the surface temperature approach speed and surface temperature approach time. The dynamic maintenance monitoring module records the surface temperature approach speed and surface temperature approach time as the product dynamic performance.

[0027] In a preferred embodiment of the present invention, the dynamic maintenance monitoring module compares the end temperature with the ideal surface temperature. If the end temperature is less than or equal to the ideal surface temperature, the point corresponding to the first time that the process temperature or the end temperature is less than the ideal surface temperature is taken as a marker point, the time corresponding to the marker point is taken as the surface temperature approach time, and the temperature change rate between the initial temperature and the temperature of the marker point is taken as the surface temperature approach rate.

[0028] If the final temperature is greater than the ideal surface temperature, the dynamic maintenance monitoring module obtains the surface temperature approach speed using the following method:

[0029] The dynamic maintenance monitoring module measures the temperature change rate of each adjacent temperature data point and uses the average of the temperature change rates as the surface temperature approach rate. The dynamic maintenance monitoring module calculates the difference between the ideal surface temperature and the final temperature, and uses the surface temperature approach rate to calculate the predicted time for the final temperature to reach the ideal surface temperature. The sum of the predicted time and the time from the initial temperature point to the final temperature point is used as the surface temperature approach time.

[0030] In a preferred embodiment of the present invention, the result evaluation module compares pipeline performance data, main body performance data and product dynamic performance with the set standard values ​​to obtain pipeline judgment results, main body judgment results and dynamic judgment results, and integrates the results of multiple tested samples to obtain the distribution ratio of qualified samples in the total number of tested samples, which is recorded as the final sampling result.

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] 1. In this invention, when sampling products, sampling is dynamically selected through product production, thereby creating uniformly distributed sampling points during product production. Samples are selected within each sampling point, so that the samples can be evenly distributed across different production times through the distribution of sampling points, and the difference in the pass rate of products produced at different times can be found through the sampling clustering within the sampling points, providing a data basis for production line optimization.

[0033] 2. In this invention, when testing the product, different areas of the product are tested separately to obtain the thermal insulation performance of the main body of the tank, the thermal insulation performance of the additional pipelines, and the overall dynamic thermal insulation performance. This achieves regional testing of the storage tank and allows direct location of areas with substandard thermal insulation performance based on the test results. The test results are then combined with the sampling distribution and recorded. Based on the sampling distribution, the defect rate and types of substandard areas at different sampling points can be statistically determined, which facilitates subsequent production optimization. Attached Figure Description

[0034] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0035] Figure 1 This is a system block diagram of the present invention;

[0036] Figure 2 This is a system flowchart of the present invention. Detailed Implementation

[0037] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0038] Example 1: Please refer to Figure 1 - Figure 2 As shown, a sampling test system for the insulation capacity of a carbon dioxide cryogenic storage tank includes a detection sampling module, a pipeline testing module, a tank testing module, a dynamic maintenance monitoring module, and a result evaluation module. The detection sampling module can obtain the product scale of the carbon dioxide cryogenic storage tank, which includes the production quantity and production time. The sampling detection module calculates the sampling quantity by multiplying the production quantity by a set ratio. After obtaining the sampling quantity, the detection sampling module arranges the obtained carbon dioxide cryogenic storage tank products in order according to the production time, and sets i sampling points at equal intervals in the time sequence, and sets m sampling quantities for each sampling point, where i and m are non-zero natural numbers, and the product of i and m is equal to the sampling quantity. The detection sampling module uses the sampling quantities in the corresponding sampling points as the test samples, thereby dynamically determining the distribution of generated test samples based on the product scale analysis.

[0039] When testing the sample, low-temperature carbon dioxide liquid is injected into the container and sealed, and the test is carried out in a static state.

[0040] The pipeline testing module is used to test the pipeline components of a cryogenic carbon dioxide storage tank. The pipeline components tested by the pipeline testing module include safety overflow pipelines, filling pipelines, vacuum relief devices, and pressurization and throttling pipelines, and the pipeline performance data is obtained based on the test results.

[0041] When the pipeline testing module tests the pipeline components, it captures the infrared image of the carbon dioxide cryogenic storage tank through an infrared camera, extracts the RGB colors in the image, obtains the temperature data of the pipeline components in the image, and records it as the pipeline exposure temperature.

[0042] The pipeline testing module simultaneously acquires the ambient temperature of the product's environment and the set internal temperature of the cryogenic storage tank. The pipeline testing module calculates the temperature difference between the ambient temperature and the internal temperature to obtain the dynamic temperature difference.

[0043] The pipeline testing module performs formula analysis using dynamic temperature difference, pipeline exposure temperature, and set heat transfer coefficient parameters. It generally adopts the steady-state heat conduction calculation method of fluid passing through the cylinder wall to obtain the pipeline insulation coefficient and compare it with the set threshold to determine whether the pipeline insulation coefficient meets the preset standard requirements. The comparison result is used as pipeline performance data.

[0044] The tank testing module is used to test the tank body of a cryogenic carbon dioxide storage tank and obtain the main performance data based on the test results.

[0045] When testing the tank body of a carbon dioxide cryogenic storage tank, the tank testing module uses an infrared camera to capture infrared images of the tank and performs RGB analysis on the infrared images to obtain the surface temperature of the tank. At the same time, the pipeline testing module obtains the dynamic temperature difference and calculates the ideal surface temperature by using the dynamic temperature difference and the corresponding heat transfer coefficient parameters of the tank. Similarly, the steady-state heat conduction calculation method of fluid passing through the cylindrical wall is used to calculate the ideal surface temperature.

[0046] The tank testing module sets up a matrix of multiple sampling points on the surface of the tank and records the temperature of each matrix point. The tank testing module compares the temperature of the matrix points with the ideal surface temperature to obtain the number of qualified points and the number of unqualified points. The tank testing module compares the number of qualified points with the total number of points to obtain the compliance rate.

[0047] The tank testing module performs extreme value analysis on the temperature of the tank surface to obtain the highest and lowest temperature regions on the tank surface.

[0048] The method for defining the highest and lowest temperature regions is as follows: a set N×N pixel grid size is moved across the RGB image, and the average temperature of the pixels contained within the pixel grid size is calculated.

[0049] The region with the highest average temperature is recorded as the highest temperature region, and the region with the lowest average temperature is recorded as the lowest temperature region. There can be multiple highest and lowest temperature regions, and adjacent highest or lowest temperature regions are merged into one region.

[0050] The tank testing module compares the highest temperature area with the ideal surface temperature to obtain the optimal difference, compares the lowest temperature area with the ideal surface temperature to obtain the lowest difference, and then compares the highest temperature area with the lowest temperature area to obtain the distribution difference.

[0051] The tank testing module will make threshold judgments on the optimal difference, minimum difference, and distribution difference respectively, and use the judgment results as the test results of thermal insulation performance and tank uniformity respectively, and record them as the main performance data. That is, the main performance data includes thermal insulation performance qualified, thermal insulation performance unqualified, tank uniformity qualified or tank uniformity unqualified.

[0052] The thermal insulation performance is determined by the optimal difference and the minimum difference, while the tank uniformity is determined by the distribution difference.

[0053] The dynamic maintenance monitoring module can monitor the entire carbon dioxide cryogenic storage tank during the test, obtain real-time temperature change data, and obtain the product's dynamic performance.

[0054] During the testing of the carbon dioxide cryogenic storage tank, the dynamic maintenance monitoring module acquires the surface temperature of the carbon dioxide cryogenic storage tank in real time and extracts data at the start and end points of the test, as well as at multiple time points during the process, which are respectively used as the initial temperature, process temperature and end temperature.

[0055] The dynamic maintenance monitoring module obtains the ideal surface temperature through the tank testing module and compares and analyzes the initial temperature, process temperature, and final temperature with the ideal surface temperature.

[0056] The dynamic maintenance monitoring module compares the end temperature with the ideal surface temperature. If the end temperature is less than or equal to the ideal surface temperature, the point where the process temperature or the end temperature first falls below the ideal surface temperature is marked as a marker point. The time corresponding to the marker point is taken as the surface temperature approach time, and the rate of temperature change between the initial temperature and the temperature at the marker point is taken as the surface temperature approach speed.

[0057] If the final temperature is greater than the ideal surface temperature, the dynamic maintenance monitoring module obtains the surface temperature approach speed using the following method:

[0058] The dynamic maintenance monitoring module measures the temperature change rate of each adjacent temperature data point and uses the average of the temperature change rates as the surface temperature approach rate. The dynamic maintenance monitoring module calculates the difference between the ideal surface temperature and the final temperature, and uses the surface temperature approach rate to calculate the predicted time for the final temperature to reach the ideal surface temperature. The sum of the predicted time and the time from the initial temperature point to the final temperature point is used as the surface temperature approach time.

[0059] After obtaining the surface temperature approach speed and surface temperature approach time, the dynamic maintenance monitoring module records the surface temperature approach speed and surface temperature approach time as the product's dynamic performance, thereby completing the testing process of the pipeline insulation, main body insulation and dynamic insulation performance of the carbon dioxide cryogenic storage tank, and locating the tank body as unqualified, the additional pipeline system as unqualified or the dynamic insulation performance as unqualified.

[0060] Example 2: Please refer to Figure 1 - Figure 2 As shown, the result evaluation module acquires pipeline performance data, main body performance data, and product dynamic performance through the pipeline testing module, tank testing module, and dynamic maintenance monitoring module. It then compares the pipeline performance data, main body performance data, and product dynamic performance with the set standard values ​​to obtain pipeline judgment results, main body judgment results, and dynamic judgment results. The pipeline judgment results include signals indicating that the pipeline insulation meets the standard or does not meet the standard, based on the pipeline performance data. The main body judgment results include signals indicating that the main body insulation meets the standard or does not meet the standard, based on the test results of the tank insulation performance and tank uniformity. The dynamic judgment results include signals indicating that the dynamic insulation meets the standard or does not meet the standard, based on the surface temperature approach speed and surface temperature approach time.

[0061] The results of multiple tested samples are combined to generate performance test results. If all three performance parameters are qualified, the test is recorded as qualified; if any one of the three performance parameters is unqualified, the test is recorded as unqualified. The result evaluation module obtains the detection distribution through the detection sampling module and generates the final sampling result based on the detection distribution and performance test results.

[0062] The result evaluation module records the test results (pass or fail) in the detection distribution, and records the pass rate of samples within each sampling point and the overall pass rate. The point with the largest difference between the pass rate within the sampling point and the overall pass rate is recorded as the high-frequency defect point, thereby locking the pass rate of products produced at different times.

[0063] Thresholds, preset values, preset ranges, etc. are set for result comparison and analysis to determine good or bad. The size of these values ​​is determined by a combination of large-scale model analysis of sample data and human experience. They can also be adjusted appropriately based on seasonal or common-sense influences.

[0064] Furthermore, the settings for weighting ratios, influence factors, etc., are based on the magnitude of each parameter's influence on the results. The specific values ​​are allocated to ultimately reflect the impact on the results. The settings for input and storage are also determined by a combination of large-scale model analysis of sample data and human experience. Appropriate adjustments can also be made based on seasonal or rational influence conditions.

[0065] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A sampling test system for the insulation capacity of a carbon dioxide cryogenic storage tank, characterized in that, It includes a sampling module, a pipeline testing module, a tank testing module, a dynamic maintenance monitoring module, and a result evaluation module. The sampling module can obtain the product size of the carbon dioxide cryogenic storage tank, analyze the product size, and generate a detection distribution based on the analysis results. The pipeline testing module is used to test the pipeline components of the carbon dioxide cryogenic storage tank and obtain pipeline performance data based on the test results. The tank testing module is used to test the tank body of the carbon dioxide cryogenic storage tank and obtain the main performance data based on the test results. The dynamic maintenance monitoring module can monitor the entire carbon dioxide cryogenic storage tank during the test, obtain real-time temperature change data, and obtain the product's dynamic performance. The result evaluation module acquires pipeline performance data, main body performance data, and product dynamic performance through the pipeline testing module, tank testing module, and dynamic maintenance monitoring module, and integrates multiple results to generate performance test results. The result evaluation module acquires the detection distribution through the detection sampling module and generates the final sampling results based on the detection distribution and performance test results. The product scale of the carbon dioxide cryogenic storage tank obtained by the detection and sampling module includes the production quantity and production time. The detection and sampling module calculates the sampling quantity by multiplying the production quantity by a set ratio. After obtaining the sampling quantity, the detection sampling module arranges the obtained carbon dioxide cryogenic storage tank products in order of production time, sets i sampling points at equal intervals in the time sequence, and sets m sampling quantities for each sampling point, where i and m are both non-zero natural numbers, and the product of i and m is equal to the sampling quantity. The detection sampling module uses the sampling quantity at the corresponding sampling point as the sample to be tested. During the testing of the carbon dioxide cryogenic storage tank, the dynamic maintenance monitoring module acquires the surface temperature of the carbon dioxide cryogenic storage tank in real time and extracts data at the start point, end point, and multiple time points during the entire test process, which are respectively used as the initial temperature, process temperature, and end temperature. The dynamic maintenance monitoring module obtains the ideal surface temperature through the tank testing module, and compares and analyzes the initial temperature, process temperature and final temperature with the ideal surface temperature to obtain the surface temperature approach speed and surface temperature approach time. The dynamic maintenance monitoring module records the surface temperature approach speed and surface temperature approach time as the product dynamic performance. The dynamic maintenance monitoring module compares the ending temperature with the ideal surface temperature. If the ending temperature is less than or equal to the ideal surface temperature, the point corresponding to the first time that the process temperature or the ending temperature is less than the ideal surface temperature is taken as a marker point, the time corresponding to the marker point is taken as the surface temperature approach time, and the temperature change rate between the initial temperature and the temperature of the marker point is taken as the surface temperature approach rate. If the final temperature is greater than the ideal surface temperature, the dynamic maintenance monitoring module obtains the surface temperature approach speed using the following method: The dynamic maintenance monitoring module measures the temperature change rate of each adjacent temperature data point and uses the average of the temperature change rates as the surface temperature approach rate. The dynamic maintenance monitoring module calculates the difference between the ideal surface temperature and the final temperature, and uses the surface temperature approach rate to calculate the predicted time for the final temperature to reach the ideal surface temperature. The sum of the predicted time and the time from the initial temperature point to the final temperature point is used as the surface temperature approach time.

2. The sampling and testing system for the insulation capacity of a carbon dioxide cryogenic storage tank according to claim 1, characterized in that, The pipeline components tested by the pipeline testing module include safety overflow pipelines, filling pipelines, vacuum relief devices, and booster / throttle pipelines. When the pipeline testing module tests the pipeline components, it captures the infrared image of the carbon dioxide cryogenic storage tank through an infrared camera, extracts the RGB colors in the image, obtains the temperature data of the pipeline components in the image, and records it as the pipeline exposure temperature. The pipeline testing module simultaneously acquires the ambient temperature of the product's environment and the set internal temperature of the low-temperature storage tank. The pipeline testing module calculates the temperature difference between the ambient temperature and the internal temperature to obtain the dynamic temperature difference. The pipeline testing module performs formula analysis using dynamic temperature difference, pipeline exposure temperature, and set heat transfer coefficient parameters. It compares the pipeline insulation coefficient with a set threshold and uses the comparison result as pipeline performance data.

3. The sampling and testing system for the insulation capacity of a carbon dioxide cryogenic storage tank according to claim 1, characterized in that, When testing the tank body of a carbon dioxide cryogenic storage tank, the tank testing module acquires infrared images of the tank body through an infrared camera and performs RGB analysis on the infrared images to obtain the surface temperature of the tank body. At the same time, the pipeline testing module obtains the dynamic temperature difference and calculates the ideal surface temperature using the dynamic temperature difference and the corresponding heat transfer coefficient parameters of the tank body. The tank testing module sets up a matrix of multiple sampling points on the surface of the tank and records the temperature of each matrix point. The tank testing module compares the temperature of the matrix points with the ideal surface temperature to obtain the number of qualified points and the number of unqualified points. The tank testing module compares the number of qualified points with the total number of points to obtain the compliance rate.

4. The sampling and testing system for the insulation capacity of a carbon dioxide cryogenic storage tank according to claim 3, characterized in that, The tank testing module performs extreme value analysis on the temperature of the tank surface to obtain the highest and lowest temperature regions on the tank surface. The tank testing module compares the highest temperature area with the ideal surface temperature to obtain the optimal difference, compares the lowest temperature area with the ideal surface temperature to obtain the lowest difference, and then compares the highest temperature area with the lowest temperature area to obtain the distribution difference. The tank testing module performs threshold judgments on the optimal difference, minimum difference, and distribution difference, and uses the judgment results as the test results for thermal insulation performance and tank uniformity, respectively, and records them as the main performance data.

5. The sampling and testing system for the insulation capacity of a carbon dioxide cryogenic storage tank according to claim 1, characterized in that, The result evaluation module compares pipeline performance data, main body performance data, and product dynamic performance with the set standard values ​​to obtain pipeline judgment results, main body judgment results, and dynamic judgment results. It also integrates the results of multiple tested samples to obtain the distribution ratio of qualified samples in the total number of tested samples, and records it as the final sampling result.

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