Sampling test system for adiabatic capacity of carbon dioxide low-temperature storage tank

By conducting zone-based testing of cryogenic storage tanks, insulation performance data can be obtained, solving the problems of time-consuming testing and inability to locate weak points in insulation in existing technologies, thereby improving testing efficiency and yield.

CN120927745AActive Publication Date: 2025-11-11TAYLOR WHARTON (BEIJING) CRYOGENIC EQUIP CO LTD
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Patent Information

Application Number
CN202511272235.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-08
Publication Date
2025-11-11
Estimated Expiration
2045-09-08

AI Technical Summary

Technical Problem

Existing technologies for testing the insulation capacity of cryogenic storage tanks are time-consuming and cannot locate weak or defective points in the insulation, resulting in a high defect rate and making it difficult to optimize the production process.

Method used

The system employs a sampling module, a pipeline testing module, a tank testing module, and a dynamic maintenance monitoring module to acquire thermal insulation performance data for the product. The results are then comprehensively analyzed through the results evaluation module to locate non-compliant areas and generate the final sampling results.

Benefits of technology

It enables rapid and accurate location of areas with substandard insulation performance, improves yield, and provides a data foundation for production line optimization.

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Abstract

The invention relates to the field of low-temperature storage tank testing, in particular to a sampling testing system for the heat insulation capacity of a carbon dioxide low-temperature storage tank, and aims to solve the problems that the production process cannot be optimized and the yield cannot be improved due to the fact that an existing detection system cannot obtain heat insulation weak points or defect points existing in a tank body. According to the method, the uniformly distributed sampling points are created during production of the products, and the samples are selected in each sampling point, so that the samples can be uniformly distributed at different production times, the qualification rate differences of the products produced at different times can be found through sampling inspection aggregation in the sampling points, and a data basis is provided for production line optimization; through regional detection of the storage tank, the area with the unqualified heat insulation performance can be directly positioned according to the detection result, and then the detection result and sampling inspection distribution are combined and recorded, so that the defective rate of different sampling points and the type of the unqualified area can be counted according to the sampling inspection distribution, and subsequent production optimization is facilitated.
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