Storage tank detection data display and analysis method, system, medium, equipment and application

Abstract

The invention belongs to the technical field of storage tank data processing, and discloses a storage tank detection data display analysis method and system, a medium, equipment and application, and the storage tank detection data display analysis method comprises the following steps: obtaining storage tank magnetic flux leakage detection data through a storage tank magnetic flux leakage detection module by using a nondestructive testing technology; collecting the ultrasonic guided wave data of the storage tank through an ultrasonic guided wave data collection module; detecting the thickness of the storage tank through a storage tank thickness detection module; obtaining corrosion information of the storage tank through a corrosion information obtaining module; realizing intelligent processing and analysis of the data information through the data analysis processing module, and sending a data analysis result to the visual display module; and completing the construction of a software platform by utilizing a spring boot architecture, and achieving the 3D visual display of the storage tank data by utilizing a WebGL technology through a visual display module. According to the invention, high-precision acquisition and intelligent analysis of information data of the storage tank bottom plate are realized, the operation safety of the storage tank is practically guaranteed, and leakage accidents are avoided.

Description

technical field [0001] The invention belongs to the technical field of storage tank data processing, and in particular relates to a storage tank detection data display and analysis method, system, medium, equipment and application. Background technique [0002] At present, storage tank structures are widely used in petroleum, chemical, electric power and other industrial fields. With the acceleration of domestic economic construction and the strengthening of the national oil reserve strategy, the number and capacity of storage tanks have increased rapidly. The maximum capacity of storage tanks built and used in my country is 150,000 cubic meters, of which 100,000 cubic meters of storage tanks are not uncommon. However, large storage tanks are also very harmful. If leakage or deflagration accidents occur during use, it will cause great harm to our personal and property safety and the natural environment. Therefore, it is of great significance to carry out safety inspection o...

AI Technical Summary

Problems solved by technology

However, in the existing detection methods for storage tanks, only the defects of designated welds can be detected, and the detection range is relatively small, which has certain limitations. The corrosion sensitivity is low, and the error of the results for small corrosion data is large. The reliability of the data results is insufficient; the positioning accuracy is greatly affected by factors such as background noise and media, and the positioning and analysis are difficult; it affects the accuracy of the tank detection results

[0003] Through the above analysis, the problems existing in the existing technology are mainly as follows: the traditional detection methods are mainly manual detection, the data error is large, the accuracy is low, and it is difficult to quantify the detected defects; the data analysis is mainly based on paper records, and the data Easy to lose, poor integrity, lack of detection, analysis and display of current storage tank bottom data

[0004] The difficulty of solving the above problems and defects is: defects and corrosion may cause rapid attenuation of the signal, thereby affecting the detection behind the defect, and may also have a certain impact on the propagation distance of the signal, the accurate acquisition of the signal, screening and processing, and data collection Analysis and early warning have high requirements on system algorithms and are difficult

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