A bridge structure data monitoring method, device, electronic device and storage medium

Abstract

The present invention relates to a bridge structure data monitoring method, device, electronic device and storage medium. The method comprises the following steps: determining reference grating points and target calibration coefficients according to historical bridge structure optical fiber data, and performing temperature compensation on optical fiber sensing data according to a mapping relationship table, reference grating points and target calibration coefficients to obtain temperature data of each grating point; performing average value calculation and calibration processing on all temperature data to determine strain data and strain field data of each grating point; the present invention obtains reference grating points and target calibration coefficients through historical bridge structure optical fiber data, determines reference grating points and target calibration coefficients according to actual conditions of the bridge structure, performs temperature compensation on optical fiber sensing data according to a mapping relationship table, reference grating points and target calibration coefficients, processes the optical fiber sensing data according to actual conditions, calculates temperature data, and obtains more accurate strain data and strain field data, thereby accurately monitoring the bridge structure.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge monitoring, and in particular to a bridge structure data monitoring method, device, electronic equipment and storage medium. Background Art

[0002] In recent years, major traffic safety incidents such as bridge collapse have occurred frequently, and the safety and economic losses they have caused are immeasurable. As an important infrastructure in the field of transportation, its safety and stability are of vital importance. Monitoring of bridge structures is one of the important means to ensure bridge safety. Traditional structural monitoring methods have been unable to meet the requirements of bridge structural safety. The emergence of fiber optic sensing technology has provided a new and effective means for bridge monitoring. Fiber optic sensing monitoring of bridge structures includes three aspects: temperature, strain, and vibration. Fiber optic sensing can monitor the deformation and changes of bridges in real time, so that timely measures can be taken to repair them and ensure the safety of bridges. Compared with traditional strain sensors, the advantage of fiber optic sensing is that it can monitor a wide range of strain changes, and it has high monitoring accuracy, small disturbances, and is not affected by external interference.

[0003] The key to bridge structure monitoring based on optical fiber sensing lies in the acquisition of strain data. In the prior art, bridge structures are generally monitored by equipment such as resistance strain gauges and vibrating wire sensors. However, in the process of bridge structure monitoring, strain is affected by various factors, such as temperature and wavelength. Different factors lead to different strains. The prior art cannot make specific adjustments according to the actual situation, thus failing to accurately monitor the bridge structure.

[0004] Therefore, there is an urgent need to propose a bridge structure data monitoring method, device, electronic device and storage medium to solve the problem in the prior art that the strain cannot be specifically adjusted according to the actual situation, thereby failing to accurately monitor the bridge structure. Summary of the invention

[0005] In view of this, it is necessary to provide a bridge structure data monitoring method, device, electronic device and storage medium to solve the problem in the prior art that the strain cannot be specifically adjusted according to the actual situation, thereby failing to accurately monitor the bridge structure.

[0006] In order to solve the above problems, the present invention provides a bridge structure data monitoring method, comprising: Obtain optical fiber sensing data on the bridge structure and historical optical fiber data of the bridge structure, and determine a mapping relationship table; the mapping relationship table includes a mapping relationship between grating points and mileage positions; Determine the reference grating points and target calibration coefficients according to the historical bridge structure optical fiber data, and perform temperature compensation on the optical fiber sensing data according to the mapping relationship table, the reference grating points and the target calibration coefficients to obtain temperature data of each grating point; Calculating the average value and calibrating all the temperature data to determine the strain data and strain field data of each grating point; The bridge structure is monitored according to the strain data and the strain field data.

[0007] In a possible implementation, the determining of reference grating points and target calibration coefficients according to the historical bridge structure optical fiber data, and performing temperature compensation on the optical fiber sensing data according to the mapping relationship table, the reference grating points and the target calibration coefficients to obtain temperature data of each grating point includes: Determining a reference grating point, a target calibration coefficient of the reference grating point, and a calibration coefficient of each grating point according to the historical bridge structure optical fiber data; Determining the reference wavelength and real-time wavelength of each grating point in the optical fiber sensing data and the target reference wavelength and real-time wavelength of the reference grating point according to the mapping relationship table; The calibration coefficient, the reference wavelength and the real-time wavelength of each grating point are temperature compensated according to the target calibration coefficient, the target reference wavelength and the target real-time wavelength to obtain the temperature data of each grating point.

[0008] In a possible implementation, the calculating and calibrating the average value of all temperature data to determine the strain data and strain field data of each grating point includes: Calculating the average value of all the temperature data to determine the average temperature of each grating point within a preset time; According to all the temperature averages, the average value of the grating along the preset time is obtained; Calibrate and calculate the temperature average value of each grating point according to the along-the-way grating average value to obtain strain data of each grating point; Strain field data is obtained according to the strain data of each grating point.

[0009] In a possible implementation, obtaining strain field data according to the strain data of each grating point includes: Set the number of raster values; All grating points are distinguished in sequence according to the grating value number to obtain a plurality of initial grating points in each interval; The strain data of the multiple initial grating points are calculated to obtain strain field data of each interval.

[0010] In a possible implementation, the historical bridge structure optical fiber data includes the historical reference wavelength and the historical real-time wavelength of each grating point; and determining the reference grating point according to the historical bridge structure optical fiber data includes: According to the historical reference wavelength and the historical real-time wavelength, a historical wavelength drift amount of each grating point is obtained; The grating point corresponding to the minimum value of all historical wavelength drifts is determined as the reference grating point.

[0011] In a possible implementation, the temperature data calculation process is as follows:

[0012] In the formula, For the i Calibration coefficients for raster points, For the i The real-time wavelength of each grating point, For the i The reference wavelength of the grating points, is the target calibration coefficient of the reference grating point, is the target real-time wavelength of the reference grating point, is the target reference wavelength of the reference grating point, is the calibration temperature.

[0013] In a possible implementation manner, determining the mapping relationship table includes: determining a method for laying optical cables on the bridge structure; According to the optical cable laying method, a mapping relationship table between the position of the grating point in each optical fiber and the positions of different mileages in different lanes is determined.

[0014] On the other hand, the present invention also provides a bridge structure data monitoring device, comprising: A data acquisition module is used to acquire optical fiber sensing data on the bridge structure and historical optical fiber data of the bridge structure, and determine a mapping relationship table; the mapping relationship table includes a mapping relationship between grating points and mileage positions; A data analysis module, used to determine the reference grating points and the target calibration coefficients according to the historical bridge structure optical fiber data, and to perform temperature compensation on the optical fiber sensing data according to the mapping relationship table, the reference grating points and the target calibration coefficients to obtain the temperature data of each grating point; A strain calculation module, used for calculating the average value and calibrating all temperature data, and determining the strain data and strain field data of each grating point; A strain monitoring module is used to monitor the bridge structure according to the strain data and the strain field data.

[0015] On the other hand, an embodiment of the present invention discloses an electronic device, comprising: a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the various steps of the above-mentioned bridge structure data monitoring method embodiment.

[0016] On the other hand, an embodiment of the present invention discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the various steps of the above-mentioned bridge structure data monitoring method embodiment are implemented.

[0017] The beneficial effects of the present invention are as follows: obtaining optical fiber sensing data on a bridge structure and historical optical fiber data of a bridge structure, and determining a mapping relationship table; the mapping relationship table includes a mapping relationship between grating points and mileage positions; determining reference grating points and target calibration coefficients according to the historical optical fiber data of the bridge structure, and performing temperature compensation on the optical fiber sensing data according to the mapping relationship table, the reference grating points and the target calibration coefficients to obtain temperature data of each grating point; performing average value calculation and calibration processing on all temperature data to determine strain data and strain field data of each grating point; monitoring the bridge structure according to the strain data and strain field data; the present invention can obtain reference grating points and target calibration coefficients through historical optical fiber data of the bridge structure, so that the corresponding reference grating points and target calibration coefficients can be determined according to the actual situation of the bridge structure, and then the optical fiber sensing data can be temperature compensated according to the mapping relationship table, the reference grating points and the target calibration coefficients, so that the optical fiber sensing data can be processed according to the actual situation, and then the temperature data can be calculated to obtain more accurate strain data and strain field data, and then the strain data and strain field data are transmitted and displayed, so as to accurately monitor the bridge structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic flow chart of an embodiment of the bridge structure data monitoring method provided by the present invention; Figure 2 A schematic diagram of the structure of an embodiment of one of the optical cable laying methods provided by the present invention; Figure 3 A schematic structural diagram of an embodiment of another optical cable laying method provided by the present invention; Figure 4 For the present invention Figure 1 A schematic flow chart of an embodiment of step S102; Figure 5 For the present invention Figure 1A schematic flow chart of an embodiment of step S103; Figure 6 A schematic diagram of the structure of an embodiment of the bridge structure data monitoring device provided by the present invention; Figure 7 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0020] like Figure 1 As shown, a specific embodiment of the present invention discloses a bridge structure data monitoring method, comprising: S101, obtaining optical fiber sensing data on a bridge structure and historical optical fiber data of a bridge structure, and determining a mapping relationship table; the mapping relationship table includes a mapping relationship between grating points and mileage positions; S102, determining the reference grating points and target calibration coefficients according to the historical bridge structure optical fiber data, and performing temperature compensation on the optical fiber sensing data according to the mapping relationship table, the reference grating points and the target calibration coefficients to obtain the temperature data of each grating point; S103, calculating the average value and calibrating all temperature data to determine the strain data and strain field data of each grating point; S104. Monitor the bridge structure according to the strain data and the strain field data.

[0021] In a specific embodiment of the present invention, the method for processing and analyzing the optical fiber sensor data can be divided into multiple steps, including signal acquisition, data conversion and filtering, feature extraction, etc. Among them, the methods and processes such as signal acquisition and feature extraction are closely related to the specific collected data and usage scenarios. The embodiment of the present invention discusses how to convert the wavelength data extracted from the grating instrument into the monitored temperature and strain data. In the process of bridge pavement temperature detection, the temperature measurement of the monitored object is generally achieved by measuring the drift of the Bragg wavelength. The principle is that the change in temperature will cause the refractive index of the optical fiber grating to change, thereby causing the central wavelength of the reflected light to drift, and the drift amount is linearly related to the temperature and strain. Thus, the optical fiber sensing data on the bridge structure can be collected, and the optical fiber sensing data can include the measured Bragg wavelength. The historical bridge structure optical fiber data can also be obtained. The historical bridge structure optical fiber data can be the optical fiber sensing data of the historical bridge structure stored in the memory. A mapping relationship table can also be set, wherein the mapping relationship table includes the mapping relationship between the grating point and the mileage position. The reference grating point and the target calibration coefficient can also be determined according to the historical bridge structure optical fiber data, and the optical fiber sensing data can be temperature compensated according to the mapping relationship table, the reference grating point and the target calibration coefficient, so that the temperature data of each grating point can be obtained, and then the average value of all temperature data of all grating points can be calculated and calibrated to obtain the strain data of each grating point and the strain field data of the bridge structure. Then the strain data and the strain data can be remotely displayed. The specific process can be: through data synchronization related services, the data collected by the lower layer is sent to the upper layer for storage at a regular interval, and other logical processing can be performed in the upper layer service according to business needs. This method requires more storage disks, that is, the monitoring data of each bridge is backed up and stored in the same way at the data center. When more monitoring bridges are connected, a large-capacity storage server needs to be built at the center to save the data of all bridge structures. By building a network agent at the data acquisition and storage end and the center end to establish a communication mechanism, the on-site data can be obtained through the web interface in real time for display. Compared with the traditional method, this method stores the bridge data at the edge end, reducing the storage pressure at the center end. At the same time, the real-time performance of data display is relatively high. Among them, different reference grating points and target calibration coefficients can be obtained for historical bridge structure fiber optic data under different circumstances. For example, the historical bridge structure fiber optic data before the day before yesterday was used to obtain a reference grating point and target calibration coefficient yesterday, and the historical bridge structure fiber optic data before yesterday was used today to obtain another reference grating point and target calibration coefficient.

[0022] Compared with the prior art, the present embodiment provides a method for obtaining optical fiber sensing data on a bridge structure and historical optical fiber data of a bridge structure, and determining a mapping relationship table; the mapping relationship table includes a mapping relationship between grating points and mileage positions; according to the historical optical fiber data of the bridge structure, the reference grating points and the target calibration coefficients are determined, and the optical fiber sensing data is temperature compensated according to the mapping relationship table, the reference grating points and the target calibration coefficients to obtain the temperature data of each grating point; all temperature data are averaged and calibrated to determine the strain data and strain field data of each grating point; the bridge structure is monitored according to the strain data and the strain field data; the present invention can obtain the reference grating points and the target calibration coefficients through the historical optical fiber data of the bridge structure, so that the corresponding reference grating points and the target calibration coefficients can be determined according to the actual situation of the bridge structure, and then the optical fiber sensing data can be temperature compensated according to the mapping relationship table, the reference grating points and the target calibration coefficients, so that the optical fiber sensing data can be processed according to the actual situation, and then the temperature data can be calculated to obtain more accurate strain data and strain field data, and then the strain data and the strain field data are transmitted and displayed, so as to accurately monitor the bridge structure.

[0023] In some embodiments of the present invention, step S101 includes: Determine the fiber optic cable laying method on the bridge structure; According to the optical cable laying method, determine the mapping relationship table between the position of the grating point in each optical fiber and the different mileage positions of different lanes.

[0024] In a specific embodiment of the present invention, the core sensor of the optical fiber sensing monitoring is an independent grating point. How to establish a one-to-one connection between the effective grating point and the different positions of different lanes on site is a problem that needs to be solved in the embodiment of the present invention. Affected by the actual road surface and the laying of optical cables on site, the laying of optical cables varies, and the common ones are the "J" type and the straight line type, such as Figure 2 and Figure 3 As shown, Figure 2 One of the ways to lay optical cables. Figure 3 Another way to lay optical cables. Figure 2 and Figure 3 Two common methods of laying three lanes with a simple single optical cable are described. In actual construction, there are often multiple cables or multiple instruments across multiple channels of a road. Therefore, it is necessary to establish a mapping relationship table between the position of the grating point in each optical fiber and the different mileage positions of different lanes according to the optical cable laying method. As shown in Table 1: Table 1. Example of mapping relationship table

[0025] In some embodiments of the present invention, Figure 4As shown, step S102 includes: S401, determining a reference grating point, a target calibration coefficient of the reference grating point, and a calibration coefficient of each grating point according to historical bridge structure optical fiber data; S402, determining the reference wavelength and real-time wavelength of each grating point in the optical fiber sensing data and the target reference wavelength and target real-time wavelength of the reference grating point according to the mapping relationship table; S403, performing temperature compensation on the calibration coefficient, reference wavelength and real-time wavelength of each grating point according to the target calibration coefficient, target reference wavelength and target real-time wavelength, and obtaining temperature data of each grating point.

[0026] In a specific embodiment of the present invention, the reference grating point, the target calibration coefficient of the reference grating point and the calibration coefficient of each grating point can be determined according to the historical bridge structure optical fiber data. Specifically, in some embodiments of the present invention, the historical bridge structure optical fiber data includes the historical reference wavelength and the historical real-time wavelength of each grating point; step S402 includes: According to the historical reference wavelength and the historical real-time wavelength, the historical wavelength drift of each grating point is obtained; The grating point corresponding to the minimum value of all historical wavelength drifts is determined as the reference grating point.

[0027] In a specific embodiment of the present invention, the historical bridge structure optical fiber data may include the historical reference wavelength and the historical real-time wavelength of each grating point, so that the historical real-time wavelength of each grating point can be subtracted from the historical reference wavelength to obtain the historical wavelength drift of each grating point, and the grating point corresponding to the minimum value of all historical wavelength drifts can be determined as the reference grating point.

[0028] Furthermore, the target calibration coefficient of the reference grating point can be set according to the actual situation of the reference grating point in the historical bridge structure optical fiber data, and the calibration coefficient of each grating point can be determined according to the situation of each grating point in the historical bridge structure optical fiber data in actual engineering applications, wherein the calibration coefficient K of each grating point can be set to 1 by default, and then dynamically adjusted according to the situation of each historical bridge structure optical fiber data. The value of the dynamic adjustment of the calibration coefficient varies according to the situation of the optical fiber data of the bridge structure, and can be set according to the actual situation, and the embodiment of the present invention is not limited here.

[0029] The optical fiber sensing data may include the reference wavelength and real-time wavelength of all grating points, so that the grating point corresponding to each mileage position can be determined according to the mapping relationship table, and then the reference wavelength and real-time wavelength corresponding to each grating point can be obtained. For example, if it is necessary to detect the data of mileage positions 3380, 3385, 4200 and 4205 in Table 1, the corresponding grating point can be determined by the instrument number, channel number and grating number in Table 1, and then the corresponding reference wavelength and real-time wavelength can be determined from the optical fiber sensing data according to each grating point. Similarly, the target reference wavelength and target real-time wavelength of the reference grating point can be determined according to the mapping relationship table.

[0030] In the process of monitoring bridge pavement structure, it is usually necessary to respond to the relative change of the material length to its initial length, that is, the defined strain, which is usually a very small value and is generally used The most commonly used conversion relationship is strain is equal to the change in wavelength, as shown in formula (1): (1) In the formula, To measure the wavelength of the grating point in real time, The reference wavelength is the wavelength measured at a certain moment. k The coefficients are identified through data and calibration tables. The selection of the reference wavelength is extremely critical in this method, and the wavelength measured in real time is closely related to the external temperature, stress, and pressure.

[0031] Based on the above situation, the embodiment of the present invention proposes a temperature compensation correction algorithm. For the error caused by external factors, the target calibration coefficient, target reference wavelength and target real-time wavelength of the reference grating point are used to perform corresponding coefficient compensation on the calibration coefficient, reference wavelength and real-time wavelength of each grating point respectively. The temperature compensation correction algorithm is shown in formula (2): (2) In the formula, For the i Calibration coefficients for raster points, For the i The real-time wavelength of each grating point, For the i The reference wavelength of the grating points, is the target calibration coefficient of the reference grating point, is the target real-time wavelength of the reference grating point, is the target reference wavelength of the reference grating point, The calibration temperature refers to the physical quantity set according to the actual situation during the calibration process. The laboratory calibration is when the grating is placed in a temperature control box, with a gradient of 10, from -40 to 160, and the next point calibration is entered after the measured wavelength and temperature are stable.

[0032] Therefore, the temperature compensation correction can be performed on each grating point according to formula (2) to obtain the temperature data of each grating point: T .

[0033] In some embodiments of the present invention, Figure 5 As shown, step S103 includes: S501, calculating the average value of all temperature data to determine the average temperature of each grating point within a preset time; S502, obtaining an average value of the grating along the path within a preset time according to the average values ​​of all temperatures; S503, calibrating and calculating the temperature average value of each grating point according to the grating average value along the process, and obtaining the strain data of each grating point; S504 , obtaining strain field data according to the strain data of each grating point.

[0034] In a specific embodiment of the present invention, different from temperature monitoring, the strain pressure generated when a vehicle travels in a lane of a bridge during strain monitoring is generally correlated in spatial position. Therefore, when calculating the strain of the bridge, it is necessary to combine the data of other nearby gratings in spatial position. After the above steps have been carried out to obtain a mapping relationship table between the grating position in each optical fiber and the different mileages of different lanes of the bridge, the strain field data along each lane can be analyzed. The average value of all temperature data can be calculated first to determine the temperature average value of each grating point within a preset time. For example, if grating point A has 10 temperature data within a one-minute time period, the temperature average value of grating point A within the one-minute time period can be calculated, that is, the average value of each grating point within the one-minute time period can be obtained. Then, the average value of the grating along the preset time can be obtained according to the average values ​​of all temperatures, as shown in formula (3): (3) In the formula, A 0 is the average value of the grating along the path, N is the total number of raster points.

[0035] Then, the temperature average value of each grating point is calibrated and calculated according to the grating average value along the process, and the strain data of each grating point is obtained, as shown in formula (4): , , ..., (4) In the formula, K 1. K 2 and K n They are grating point 1, grating point 2 and grating point n The calibration factor, B 1. B 2. B n They are grating point 1, grating point 2 and grating point n The strain data.

[0036] In some embodiments of the present invention, step S504 includes: Set the number of raster values; All grating points are distinguished in turn according to the number of grating values ​​to obtain multiple initial grating points in each interval; The strain data of multiple initial grating points are calculated to obtain the strain field data of each interval.

[0037] In a specific embodiment of the present invention, the number of grating values ​​can be set according to actual needs. For example, if the number of grating values ​​is 5, all grating points can be distinguished in sequence according to the number of grating values. For example, there are 100 grating points, 1-5 are the first interval, 6-10 are the second interval, and so on. The initial grating points 1-5 of the first interval and the initial grating points 6-10 of the second interval can be obtained. That is, multiple initial grating points of each interval can be obtained, and then the strain data of the multiple initial grating points of each interval can be calculated to obtain the strain field data corresponding to each interval. The calculation is shown in formula (5): , , ..., (5) In the formula, C 1. C 2 and C n The first, second and third intervals are n The strain field data of the interval.

[0039] The strain field in the embodiment of the present invention refers to the strain data displayed along the road surface mileage, emphasizing the spatial position relationship between the strain data. Compared with the traditional data aggregation method, the network proxy method proposed in the embodiment of the present invention can greatly reduce the redundancy of data storage, and put the bridge monitoring data at the edge of data collection, which can conveniently and effectively add a new bridge monitoring subsystem.

[0040] In order to better implement the bridge structure data monitoring method in the embodiment of the present invention, based on the bridge structure data monitoring method, the embodiment of the present invention also provides a bridge structure data monitoring device, such as Figure 6 As shown, the bridge structure data monitoring device 600 includes: The data acquisition module 601 is used to acquire the optical fiber sensing data on the bridge structure and the historical optical fiber data of the bridge structure, and determine a mapping relationship table; the mapping relationship table includes the mapping relationship between the grating point and the mileage position; The data analysis module 602 is used to determine the reference grating points and the target calibration coefficients according to the historical bridge structure optical fiber data, and to perform temperature compensation on the optical fiber sensing data according to the mapping relationship table, the reference grating points and the target calibration coefficients to obtain the temperature data of each grating point; The strain calculation module 603 is used to calculate the average value and calibrate all temperature data to determine the strain data and strain field data of each grating point; The strain monitoring module 604 is used to monitor the bridge structure according to the strain data and the strain field data.

[0041] The bridge structure data monitoring device 600 provided in the above embodiment can implement the technical solution described in the above bridge structure data monitoring method embodiment. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above bridge structure data monitoring method embodiment, which will not be repeated here.

[0042] like Figure 7 As shown, the present invention also provides an electronic device 600. The electronic device 600 includes a processor 601, a memory 602 and a display 603. Figure 7 Only some components of the electronic device 600 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0043] In some embodiments, the memory 602 may be an internal storage unit of the electronic device 600, such as a hard disk or memory of the electronic device 600. In other embodiments, the memory 602 may also be an external storage device of the electronic device 600, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the electronic device 600.

[0044] Furthermore, the memory 602 may include both an internal storage unit of the electronic device 600 and an external storage device. The memory 602 is used to store application software installed in the electronic device 600 and various data.

[0045] In some embodiments, the processor 601 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run program codes or process data stored in the memory 602, such as the bridge structure data monitoring method of the present invention.

[0046] In some embodiments, the display 603 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 603 is used to display information of the electronic device 600 and to display a visual user interface. The components 601-603 of the electronic device 600 communicate with each other through a system bus.

[0047] In some embodiments of the present invention, when the processor 601 executes the bridge structure data monitoring program in the memory 602, the following steps may be implemented: Obtain optical fiber sensing data on the bridge structure and historical optical fiber data of the bridge structure, and determine a mapping relationship table; the mapping relationship table includes a mapping relationship between grating points and mileage positions; According to the historical bridge structure optical fiber data, the reference grating point and the target calibration coefficient are determined, and the optical fiber sensing data is temperature compensated according to the mapping relationship table, the reference grating point and the target calibration coefficient to obtain the temperature data of each grating point; Calculate the average value and calibrate all temperature data to determine the strain data and strain field data of each grating point; The bridge structure is monitored based on the strain data and strain field data.

[0048] It should be understood that: when the processor 601 executes the bridge structure data monitoring program in the memory 602, in addition to the above functions, other functions can also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0049] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 600 mentioned, and the electronic device 600 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic devices may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 600 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0050] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, the steps or functions of the bridge structure data monitoring method provided in the above-mentioned method embodiments can be implemented.

[0051] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0052] The bridge structure data monitoring method, device, electronic device and storage medium provided by the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A bridge structure data monitoring method, characterized in that: include: Obtain optical fiber sensing data on the bridge structure and historical optical fiber data of the bridge structure, and determine a mapping relationship table; The mapping relationship table includes a mapping relationship between raster points and mileage positions; Determine the reference grating points and target calibration coefficients according to the historical bridge structure optical fiber data, and perform temperature compensation on the optical fiber sensing data according to the mapping relationship table, the reference grating points and the target calibration coefficients to obtain temperature data of each grating point; Calculating the average value and calibrating all the temperature data to determine the strain data and strain field data of each grating point; The bridge structure is monitored according to the strain data and the strain field data.

2. The bridge structure data monitoring method according to claim 1, characterized in that: The method of determining the reference grating point and the target calibration coefficient according to the historical bridge structure optical fiber data, and performing temperature compensation on the optical fiber sensing data according to the mapping relationship table, the reference grating point and the target calibration coefficient to obtain the temperature data of each grating point includes: Determining a reference grating point, a target calibration coefficient of the reference grating point, and a calibration coefficient of each grating point according to the historical bridge structure optical fiber data; Determining the reference wavelength and real-time wavelength of each grating point in the optical fiber sensing data and the target reference wavelength and real-time wavelength of the reference grating point according to the mapping relationship table; The calibration coefficient, the reference wavelength and the real-time wavelength of each grating point are temperature compensated according to the target calibration coefficient, the target reference wavelength and the target real-time wavelength to obtain temperature data of each grating point.

3. The bridge structure data monitoring method according to claim 1, characterized in that: The method of calculating the average value and calibrating all the temperature data to determine the strain data and strain field data of each grating point includes: Calculating the average value of all the temperature data to determine the average temperature of each grating point within a preset time; According to all the temperature averages, the average value of the grating along the preset time is obtained; Calibrate and calculate the temperature average value of each grating point according to the along-the-way grating average value to obtain strain data of each grating point; Strain field data is obtained according to the strain data of each grating point.

4. The bridge structure data monitoring method according to claim 3 is characterized in that: The step of obtaining strain field data according to the strain data of each grating point comprises: Set the number of raster values; All grating points are distinguished in sequence according to the grating value number to obtain a plurality of initial grating points in each interval; The strain data of the multiple initial grating points are calculated to obtain strain field data of each interval.

5. The bridge structure data monitoring method according to claim 2, characterized in that: The historical bridge structure optical fiber data includes the historical reference wavelength and the historical real-time wavelength of each grating point; and determining the reference grating point according to the historical bridge structure optical fiber data includes: According to the historical reference wavelength and the historical real-time wavelength, a historical wavelength drift amount of each grating point is obtained; The grating point corresponding to the minimum value of all historical wavelength drifts is determined as the reference grating point.

6. The bridge structure data monitoring method according to claim 2, characterized in that: The temperature data calculation process is as follows: In the formula, For the i Calibration coefficients for raster points, For the i The real-time wavelength of each grating point, For the i The reference wavelength of the grating points, is the target calibration coefficient of the reference grating point, is the target real-time wavelength of the reference grating point, is the target reference wavelength of the reference grating point, is the calibration temperature.

7. The bridge structure data monitoring method according to claim 1, characterized in that: The determining of the mapping relationship table includes: determining a method for laying optical cables on the bridge structure; According to the optical cable laying method, a mapping relationship table between the position of the grating point in each optical fiber and the positions of different mileages in different lanes is determined.

8. A bridge structure data monitoring device, characterized in that: include: A data acquisition module is used to acquire optical fiber sensing data on the bridge structure and historical optical fiber data of the bridge structure, and determine a mapping relationship table; The mapping relationship table includes a mapping relationship between raster points and mileage positions; A data analysis module, used to determine the reference grating points and the target calibration coefficients according to the historical bridge structure optical fiber data, and to perform temperature compensation on the optical fiber sensing data according to the mapping relationship table, the reference grating points and the target calibration coefficients to obtain the temperature data of each grating point; A strain calculation module, used for calculating the average value and calibrating all temperature data, and determining the strain data and strain field data of each grating point; A strain monitoring module is used to monitor the bridge structure according to the strain data and the strain field data.

9. An electronic device, characterized in that: include: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the steps of the bridge structure data monitoring method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the bridge structure data monitoring method according to any one of claims 1 to 7 are implemented.

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