Data processing method of multi-fiber bragg grating reinforcing steel corrosion sensor system

A steel bar corrosion and data processing technology, applied in the fields of weather resistance/light resistance/corrosion resistance, instruments, scientific instruments, etc., can solve difficult and complex data processing problems

Active Publication Date: 2017-07-07
TIANJIN PORT ENG INST LTD OF CCCC FIRST HARBOR ENG +2
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AI Technical Summary

Problems solved by technology

Although the multi-sensor system has the above advantages, the data processing of the multi-sensor system is more complex and difficult than that of a single sensor due to the large amount of collected data information, a wide range, and the possible interrelationships between the data.

Method used

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  • Data processing method of multi-fiber bragg grating reinforcing steel corrosion sensor system
  • Data processing method of multi-fiber bragg grating reinforcing steel corrosion sensor system
  • Data processing method of multi-fiber bragg grating reinforcing steel corrosion sensor system

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Embodiment Construction

[0054] The technical solutions of the present invention will be further described below in conjunction with specific embodiments.

[0055] A reinforced concrete member is equipped with 10 sensor groups, each corrosion sensor reads 6 times, and each compensation sensor reads 1 time. The average initial wavelength of the corrosion sensor, the initial wavelength of the compensation sensor, and the wavelength readings of a certain acquisition are shown in Table 1. The wavelength readings collected by the corrosion sensor are shown in Table 2. The corrosion rate of the sensor group ρ=2.26916(Δλ) 2 +0.64302Δλ+0.23229, where Δλ is the wavelength change. The significance level of the t-test for the corrosion rate obtained from the sensor group is 0.05, the coefficient γ for the consistency test of the mean value of the corrosion rate is 1.0, and the threshold value used when establishing the fuzzy interval of the corrosion rate is 0.5. According to the data in Table 1 and Table 2, ...

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Abstract

The invention discloses a data processing method of a multi-fiber bragg grating reinforcing steel corrosion sensor system. The method includes wavelength data preprocessing, inspection and rejection of abnormal data, consistency test, Bayes estimation based data fusion, fuzzy interval establishment of data fusion values and other processes. Multiple readings of each sensor set are employed to reject abnormal data, and multi-sensor data fusion is adopted to improve the reliability and robustness of the sensor system, extend the observation range of time or space, enhance the credibility and accuracy of the system data, and increase the utilization of information. The fuzzy interval of corrosion rate fusion values can better reflect the characteristic of uneven reinforcing steel corrosion.

Description

technical field [0001] The invention relates to data processing of a corrosion sensor system, in particular to a data processing method of a multi-fiber grating steel bar corrosion sensor system. Background technique [0002] Rebar corrosion monitoring technology can obtain real-time information on the corrosion of rebar in concrete. It is not only an effective means to analyze the cause of rebar corrosion as early as possible, but also provides necessary conditions for taking timely countermeasures. It is of positive significance for ensuring the durability of structures and reducing maintenance costs in the later period. At present, it has been widely used in reinforced concrete structures in severe corrosion environments such as port terminals, sea-crossing bridges, and submarine tunnels. The Fiber Bragg Grating Steel Bar Corrosion Sensor integrates sensing and information transmission, and has the advantages of strong anti-interference, small size, and high precision. It...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N17/00
CPCG01N17/006
Inventor 张文锋马化雄陈韬李云飞刘凯杨太年唐聪马悦
Owner TIANJIN PORT ENG INST LTD OF CCCC FIRST HARBOR ENG
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