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An intelligent monitoring system and method for the corrosion state of steel bars in concrete

A technology for steel corrosion and intelligent monitoring. It is applied in neural learning methods, weather resistance/light resistance/corrosion resistance, and measurement devices. It can solve problems such as difficulty in deploying conventional terminal equipment, and achieve the effect of reducing manual judgment and high recognition accuracy.

Active Publication Date: 2022-06-24
QINGDAO TECHNOLOGICAL UNIVERSITY
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The problem at this stage is that the electrochemical parameters measured by the temperature and humidity macro-cell have a certain influence, and there is a coupling relationship between the corrosion characteristics. Each measurement result needs to rely on expert experience to determine the degree of corrosion, which is difficult to deploy on conventional terminal equipment.

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  • An intelligent monitoring system and method for the corrosion state of steel bars in concrete
  • An intelligent monitoring system and method for the corrosion state of steel bars in concrete
  • An intelligent monitoring system and method for the corrosion state of steel bars in concrete

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Embodiment Construction

[0048] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0049] The overall functional block diagram of the intelligent monitoring system for the corrosion state of steel bars in concrete is as follows figure 1 As shown, it includes the macro battery sensor signal acquisition module, GPRS wireless data communication module, upper computer automatic classification and discrimination software, deep residual neural network algorithm model, macro battery sensor signal acquisition module to collect corrosion characteristic data, and through the GPRS wireless data communication module. The data is packaged and sent to the cloud server for storage, and the deep residual neural network algorithm model embedded in the upper computer automatic classification and discrimination software extracts the characteristic data of the database for automatic classification and discrimination of the co...

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Abstract

The invention provides an intelligent monitoring system and method for the corrosion state of steel bars in concrete, including a macro battery sensor, a temperature sensor, a cloud server and local PC-side software, a main control chip is arranged in the macro battery sensor, and the macro battery sensor is used for signal The collected measuring anodes and titanium oxide cathodes are embedded in the concrete, the temperature sensing probe of the temperature sensor is embedded in the concrete, the temperature sensor is connected in series to the main control circuit of the main control chip, and the signal acquisition module of the macro battery sensor passes through the GPRS wireless data communication module Connect to the cloud server, set the storage module and the upper computer automatic classification and discrimination software in the cloud server, the upper computer automatic classification and discrimination software has a database and a deep residual neural network algorithm module, and the cloud server and the local PC-side software form a data transmission connection through the network. The invention utilizes a deep residual neural network algorithm to establish an intelligent system for automatically distinguishing the corrosion degree of reinforced concrete.

Description

technical field [0001] The invention belongs to the technical field of building structure monitoring, in particular to an intelligent monitoring system and method for the corrosion state of steel bars in concrete. Background technique [0002] Seawater is a strong electrolyte solution containing corrosive salts. Reinforced concrete construction projects in the marine environment are vulnerable to damage during a long service period. The intrusion of microelements such as chloride ions in seawater leads to carbonation of concrete and internal reinforcement. Corrosion, the volume of corroded steel bars continues to expand, and the resulting expansion stress causes cracks in carbonized concrete, which further intensifies the penetration of erosive ions in seawater and accelerates the damage to buildings in marine environments. Among them, the corrosion of steel bars inside concrete is the cause Therefore, it is extremely important to establish a system that can monitor the corr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N17/00G06K9/62G06N3/04G06N3/08
CPCG01N17/006G06N3/08G06N3/047G06N3/045G06F18/2415
Inventor 林旭梅胡川朱广辉朱文杰唐旭秦臻
Owner QINGDAO TECHNOLOGICAL UNIVERSITY
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