Bridge fiber grating demodulator stress wave analysis system and method

Abstract

The invention belongs to the technical field of demodulators, and particularly relates to a bridge fiber bragg grating demodulator stress wave analysis system and method.The system comprises a fiber bragg grating sensor module and a demodulator, and the fiber bragg grating sensor module is connected with the demodulator through a wire; the demodulator is composed of a data acquisition module, a data processing module, a data analysis module and a storage module, and the data processing module is electrically connected with the data acquisition module, the data analysis module and the storage module; the fiber grating sensor module is installed at a detection position of a bridge. According to the overall structure provided by the embodiment of the invention, the data collected by the fiber grating sensors can be analyzed and processed, the stress resistance strength of the bridge can be obtained through the difference value, the original bridge can be optimized and reinforced, the data collected by the reinforced bridge structure can be analyzed and processed, and the stress resistance strength of the bridge can be obtained. And the stress resistance strength of the bridge is obtained through the deviation value, data can be efficiently processed, and reasonable reinforcement suggestions can be given.

Description

Technical Field

[0001] The present application relates to the technical field of demodulators, and in particular to a stress wave analysis system and method of a bridge fiber Bragg grating demodulator. Background Art

[0002] Fiber Bragg grating interrogator is a process test instrument used in the field of information science and system science. It can be used for long-term health monitoring of bridges, dams, buildings, damage and danger assessment of dams, roads, and bridges in earthquake zones, continuous monitoring of the structural integrity of ships and aircraft, real-time feedback control of wind turbines, deep well oil pressure and temperature measurement, deep-sea oil platform lifting device monitoring, embedded tension measurement in carbon fiber or reinforced concrete structures, and measurement in electromagnetic fields or harsh corrosion environments.

[0003] In the process of stress wave detection of bridges, ordinary fiber Bragg grating demodulators can only perform stress wave analysis on the existing structure of the bridge, but cannot propose an optimized structure and perform stress wave analysis on the optimized structure. Therefore, we propose a bridge fiber Bragg grating demodulator stress wave analysis system and method. Summary of the invention

[0004] The present application provides a bridge fiber Bragg grating demodulator stress wave analysis system and method to solve the above-mentioned problems.

[0005] The present application provides a bridge fiber Bragg grating demodulator stress wave analysis system, comprising: A fiber grating sensor module and a demodulator, wherein the fiber grating sensor module is connected to the demodulator via a wire; The demodulator is composed of a data acquisition module, a data processing module, a data analysis module and a storage module, and the data processing module is electrically connected to the data acquisition module, the data analysis module and the storage module; The fiber grating sensor module is installed at the detection position of the bridge, and the fiber grating sensor module is composed of a plurality of fiber grating sensors; The demodulator collects, processes and analyzes the data detected by the fiber grating sensor module.

[0006] The present application also provides a method for a bridge fiber Bragg grating demodulator stress wave analysis system, comprising the following steps: Step 1: Detecting a stress wave data set of a bridge through a fiber grating sensor module; Step 2: Collecting stress wave data sets through the data acquisition module, and sending the collected stress wave data sets to the data processing module; Step 3: Compare the data in the stress wave data group with the dangerous theoretical stress wave data through the data processing module to obtain the difference; Step 4: Calculate the strengthening index of the bridge according to the difference, and obtain the strengthened stress wave data by using the strengthening index; Step 5: Obtain the stress resistance index of the bridge according to the enhanced stress wave data, and then obtain the resistance index evaluation sequence of the detection time period, and send the resistance index evaluation sequence to the data analysis module and the storage module; Step 6: Compare the resistance index evaluation sequence with the set expected standard value through the data analysis module to obtain a deviation value sequence.

[0007] Preferably, a plurality of fiber grating sensors in the fiber grating sensor module are used to detect the stress wave data set of the bridge, and the stress wave data set sequence is B, wherein B={B1, B2, ..., Bi}, wherein i is a positive integer.

[0008] Preferably, the step of comparing the data in the stress wave data set with the dangerous theoretical stress wave data by the data processing module to obtain the difference value further comprises: Step 31, the stress wave data set can be fitted with data values ​​according to the stress wave data within a period of time in the collected historical data to obtain a trend function, thereby realizing a partial linear analysis of the stress wave data set sequence B, and obtaining: T = {1, 2, 3, …, i}; B = {B1, B2, …, Bi}; ; Wherein, A represents the slope of the change straight line of the stress wave data set sequence B, and T represents the time when each stress wave data in the stress wave data set sequence B is generated; Step 32, according to the slope A of the change line of the stress wave data set sequence B, the intercept d is obtained by using the undetermined coefficient method, so as to obtain the fitting straight line function y, y=AT+d; Step 33: Based on the obtained fitting straight line function y, substituting T={1, 2, 3, …, i}, we can get y={y1, y2, y3, …, y i}, and then get the loss function , where the loss function E represents the absolute value of the difference between the data in the stress wave data set and the dangerous theoretical stress wave data.

[0009] Preferably, the step of calculating the strengthening index of the bridge according to the difference, and obtaining the strengthened stress wave data by using the strengthening index comprises: Normalize according to the loss function E and calculate the theoretical strengthening index J T : ; Among them, J T is the theoretical value of the bridge that needs to be strengthened at time T; The enhanced stress wave data Q T =J T +B i .

[0010] Preferably, obtaining the stress resistance index of the bridge according to the enhanced stress wave data, and then obtaining the resistance index evaluation sequence of the detection time period includes: Among them, the resistance index evaluation sequence express: ; Among them, Q T represents the enhanced stress wave data, express The maximum value of the stress wave detected at time T, express The minimum value of the stress wave detected at time T.

[0011] Preferably, the step of comparing the resistance index evaluation sequence with a set expected standard value through a data analysis module to obtain a deviation value sequence includes: Resistance index evaluation sequence ={H1, H2, H3, …, }, set the expected standard value sequence P T ={P1, P2, P3, …, P T}; Evaluation of sequences according to resistance index and the expected standard value sequence P T Get the deviation value sequence U T : ; The above technical solution provided by the embodiment of the present application has the following advantages compared with the prior art: The overall structure provided by the embodiment of the present application can not only analyze and process the data collected by the fiber grating sensor, and derive the stress resistance of the bridge through the difference value, but also optimize and strengthen the original bridge, and analyze and process the data collected from the strengthened bridge structure, and derive the stress resistance of the bridge through the deviation value, so that the data can be processed more efficiently and reasonable strengthening suggestions can be given, thereby improving the work efficiency of the staff. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0013] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0014] Figure 1 It is a schematic diagram of the overall principle structure of the present invention; Figure 2 is a flow chart of the method of the present invention; Figure 3 It is the installation detection structure diagram of the present invention.

[0015] In the figure: 1. Bridge; 2. Fiber Bragg grating sensor; 3. Demodulator. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0017] Various embodiments of the present application may exist in the form of a range. It should be understood that the description in the form of a range is only for convenience and simplicity and should not be understood as a hard limit to the scope of the present application; therefore, it should be considered that the range description has specifically disclosed all possible sub-ranges and single values ​​within the range. For example, it should be considered that the range description from 1 to 6 has specifically disclosed sub-ranges, such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6, etc., as well as single numbers within the range, such as 1, 2, 3, 4, 5 and 6, which are applicable regardless of the range. In addition, whenever a numerical range is indicated in the present application, it is meant to include any quoted numbers (fractions or integers) within the indicated range. Unless otherwise specified, various raw materials, reagents, instruments and equipment used in the present application, etc., can be purchased from the market or can be prepared by existing equipment.

[0018] In the present application, in the absence of any contrary description, the directional words used, such as "upper" and "lower", are specifically the directions of the drawings in the accompanying drawings. In addition, in the present application, the terms "include", "comprise", etc. refer to "including but not limited to". In the present application, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. In the present application, "and / or" describes the association relationship of the associated objects, indicating that three relationships may exist, for example, A and / or B, which can represent: A exists alone, A and B exist at the same time, and B exists alone. Wherein A, B can be singular or plural. In the present application, "at least one" refers to one or more, and "plural" refers to two or more. "At least one", "at least one of the following" or similar expressions refer to any combination of these items, including any combination of singular items or plural items. For example, "at least one of a, b, or c" or "at least one of a, b and c" can both mean: a, b, c, ab, i.e. a and b, ac, bc, or abc, where a, b, c can be single or plural, respectively.

[0019] like Figure 1 and Figure 2 As shown: This embodiment of the application provides a bridge fiber Bragg grating demodulator stress wave analysis system, comprising: A fiber Bragg grating sensor module and a demodulator 3, wherein the fiber Bragg grating sensor module is connected to the demodulator 3 via a wire; The demodulator 3 is composed of a data acquisition module, a data processing module, a data analysis module and a storage module, and the data processing module is electrically connected to the data acquisition module, the data analysis module and the storage module; The fiber Bragg grating sensor module is installed at the detection position of the bridge 1, and the fiber Bragg grating sensor module is composed of a plurality of fiber Bragg grating sensors 2; The demodulator collects, processes and analyzes the data detected by the fiber grating sensor module.

[0020] Specifically: the fiber grating sensors 2 in the fiber grating sensor module are all existing technologies, and the data acquisition module, data processing module, data analysis module and storage module all adopt existing technologies on the market. Among them, the programs burned inside the data processing module and the data analysis module process the data collected by the data acquisition module, and the storage module stores the data using the method shown below.

[0021] like Figure 2 As shown: This embodiment of the application provides a method for a bridge fiber Bragg grating demodulator stress wave analysis system, comprising the following steps: Step 1: Detecting a stress wave data set of the bridge 1 by using a fiber grating sensor module; Step 2: Collecting stress wave data sets through the data acquisition module, and sending the collected stress wave data sets to the data processing module; Step 3: Compare the data in the stress wave data group with the dangerous theoretical stress wave data through the data processing module to obtain the difference; Step 4: Calculate the reinforcement index of the bridge 1 according to the difference, and obtain the reinforced stress wave data by using the reinforcement index; Step 5: Obtain the stress resistance index of the bridge according to the enhanced stress wave data, and then obtain the resistance index evaluation sequence of the detection time period, and send the resistance index evaluation sequence to the data analysis module and the storage module; Step 6: Compare the resistance index evaluation sequence with the set expected standard value through the data analysis module to obtain a deviation value sequence.

[0022] like Figure 2 As shown: the stress wave data set of the bridge 1 is detected by multiple fiber grating sensors 2 in the fiber grating sensor module, and the stress wave data set sequence is B, wherein B={B1, B2, ...., Bi}, wherein i is a positive integer.

[0023] like Figure 2 As shown: the data in the stress wave data group is compared with the dangerous theoretical stress wave data by the data processing module to obtain the difference, which also includes: Step 31, the stress wave data set can be fitted with data values ​​according to the stress wave data within a period of time in the collected historical data to obtain a trend function, thereby realizing a partial linear analysis of the stress wave data set sequence B, and obtaining: T = {1, 2, 3, …, i}; B = {B1, B2, …, Bi}; ; Wherein, A represents the slope of the change straight line of the stress wave data set sequence B, and T represents the time when each stress wave data in the stress wave data set sequence B is generated; Step 32, according to the slope A of the change line of the stress wave data set sequence B, the intercept d is obtained by using the undetermined coefficient method, so as to obtain the fitting straight line function y, y=AT+d; Step 33: Based on the obtained fitting straight line function y, substituting T={1, 2, 3, …, i}, we can get y={y1, y2, y3, …, y i}, and then get the loss function , where the loss function E represents the absolute value of the difference between the data in the stress wave data set and the dangerous theoretical stress wave data.

[0024] like Figure 2 As shown: the strengthening index of the bridge is calculated according to the difference, and the strengthened stress wave data obtained by using the strengthening index includes: Normalize according to the loss function E and calculate the theoretical strengthening index J T : ; Among them, J T is the theoretical value of the bridge that needs to be strengthened at time T; The enhanced stress wave data Q T =J T +B i .

[0025] Specifically: Q T Represents the stress wave data value generated after the bridge is strengthened.

[0026] like Figure 2 As shown: the stress resistance index of the bridge 1 is obtained according to the enhanced stress wave data, and then the resistance index evaluation sequence of the detection time period is obtained, which includes: Among them, the resistance index evaluation sequence express: ; Where: Q T represents the enhanced stress wave data, express The maximum value of the stress wave detected at time T, express The minimum value of the stress wave detected at time T.

[0027] like Figure 2 As shown: the resistance index evaluation sequence is compared with the set expected standard value by the data analysis module to obtain the deviation value sequence including: Resistance index evaluation sequence ={H1, H2, H3, …, }, set the expected standard value sequence P T ={P1, P2, P3, …, P T}; Evaluation of sequences according to resistance index and the expected standard value sequence P T Get the deviation value sequence U T : ; Specifically: ={H1-P1, H2-P2, ..., H i -Pi},in The smaller the value at a certain time, the stronger the resistance strength of the bridge after modification, and vice versa. Furthermore, when initially detecting the stress wave of the bridge 1, the structural data of the bridge 1 needs to be input into the demodulator 3, and then the optimized structure of the bridge 1 is given by the data detected by the demodulator 3, and the stress wave analysis is performed again.

[0028] The above is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. It will be apparent to those skilled in the art that various modifications to these embodiments are possible, and the general principles defined in the present application can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown in the present application, but will conform to the widest scope consistent with the principles and novel features applied for by the present application.

Claims

1. A bridge fiber Bragg grating demodulator stress wave analysis system, characterized in that: include: A fiber Bragg grating sensor module and a demodulator (3), wherein the fiber Bragg grating sensor module is connected to the demodulator (3) via a wire; The demodulator (3) is composed of a data acquisition module, a data processing module, a data analysis module and a storage module, wherein the data processing module is electrically connected to the data acquisition module, the data analysis module and the storage module; The fiber grating sensor module is installed at a detection position of the bridge (1), and the fiber grating sensor module is composed of a plurality of fiber grating sensors (2); The demodulator collects, processes and analyzes the data detected by the fiber grating sensor module.

2. A method for a bridge fiber Bragg grating demodulator stress wave analysis system, characterized in that: The steps include: Step 1: Detecting a stress wave data set of a bridge (1) by using a fiber grating sensor module; Step 2: Collecting stress wave data sets through the data acquisition module, and sending the collected stress wave data sets to the data processing module; Step 3: Compare the data in the stress wave data group with the dangerous theoretical stress wave data through the data processing module to obtain the difference; Step 4: Calculate the reinforcement index of the bridge (1) according to the difference, and obtain the reinforced stress wave data using the reinforcement index; Step 5: Obtain the stress resistance index of the bridge (1) according to the enhanced stress wave data, and then obtain a resistance index evaluation sequence for the detection time period, and send the resistance index evaluation sequence to the data analysis module and the storage module; Step 6: Compare the resistance index evaluation sequence with the set expected standard value through the data analysis module to obtain a deviation value sequence.

3. The method of a bridge fiber Bragg grating demodulator stress wave analysis system according to claim 2, characterized in that: A plurality of fiber grating sensors (2) in the fiber grating sensor module are used to detect a stress wave data set of the bridge (1), and the stress wave data set sequence is B, wherein B={B1, B2, ..., B i }, where i is a positive integer.

4. The method of the bridge fiber Bragg grating demodulator stress wave analysis system according to claim 2, characterized in that: The step of comparing the data in the stress wave data set with the dangerous theoretical stress wave data by the data processing module to obtain the difference value further comprises: Step 31, the stress wave data set can be fitted with data values ​​according to the stress wave data within a period of time in the collected historical data to obtain a trend function, thereby realizing a partial linear analysis of the stress wave data set sequence B, and obtaining: T = {1, 2, 3, …, i}; B = {B1, B2, …, Bi}; ； Wherein, A represents the slope of the change straight line of the stress wave data set sequence B, and T represents the time when each stress wave data in the stress wave data set sequence B is generated; Step 32, according to the slope A of the change line of the stress wave data set sequence B, the intercept d is obtained by using the undetermined coefficient method, so as to obtain the fitting straight line function y, y=AT+d; Step 33: Based on the obtained fitting straight line function y, substituting T={1, 2, 3, …, i}, we can get y={y1, y2, y3, …, y i }, and then get the loss function , where the loss function E represents the absolute value of the difference between the data in the stress wave data set and the dangerous theoretical stress wave data.

5. The method of the bridge fiber Bragg grating demodulator stress wave analysis system according to claim 2, characterized in that: The step of calculating the strengthening index of the bridge according to the difference and obtaining the strengthened stress wave data by using the strengthening index includes: Normalize according to the loss function E and calculate the theoretical strengthening index J T : ； Among them, J T is the theoretical value of the bridge that needs to be strengthened at time T; The enhanced stress wave data Q T =J T +B i .

6. The method of the bridge fiber Bragg grating demodulator stress wave analysis system according to claim 2, characterized in that: According to the enhanced stress wave data, the stress resistance index of the bridge (1) is obtained, and then the resistance index evaluation sequence of the detection time period is obtained. include: Among them, the resistance index evaluation sequence express: ； Among them, Q T represents the enhanced stress wave data, express The maximum value of the stress wave detected at time T, express The minimum value of the stress wave detected at time T.

7. The method of the bridge fiber Bragg grating demodulator stress wave analysis system according to claim 2, characterized in that: The data analysis module compares the resistance index evaluation sequence with the set expected standard value to obtain the deviation value sequence, including: Resistance index evaluation sequence ={H1, H2, H3, …, }, set the expected standard value sequence P T ={P1, P2, P3, …, P T }; Evaluation of sequences according to resistance index and the expected standard value sequence P T Get the deviation value sequence U T : 。

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