Dike seepage, deformation and settlement safety monitoring device and application

Abstract

The invention provides a dike seepage, deformation and settlement safety monitoring device and application, and belongs to the technical field of dike seepage, deformation and settlement monitoring. The dike seepage, deformation and settlement safety monitoring device comprises a seepage monitoring module, a settlement monitoring module, a deformation monitoring module, a data processing module, an early warning module, a heating power supply module, a remote monitoring platform, a metal plate box and an annular clamp; the seepage monitoring module is connected with the metal plate box through a wire, the deformation monitoring module is sleeved with the seepage monitoring module, the settlement monitoring module is connected with the metal plate box through a wire, and the data processing module, the early warning module and the heating power supply module are installed in the metal plate box. And the annular clamp is fixed outside the deformation monitoring module. According to the dike seepage, deformation and settlement safety monitoring device and application, the problems existing in an existing dike monitoring technology are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of embankment seepage, deformation and settlement monitoring, and in particular to a embankment seepage, deformation and settlement safety monitoring device and its application. Background Art

[0002] As crucial engineering structures for flood control and waterlogging prevention, the safety of levees is directly linked to the safety of people's lives and property, as well as the protection of the ecological environment. However, as levees age and are affected by factors such as rain, earthquakes, and instability, they can experience varying degrees of deformation, cracking, and water seepage. If these problems are not promptly identified and addressed, levee damage or even breaches could pose serious threats to nearby residents and property. Therefore, levee safety monitoring is crucial to levee projects.

[0003] However, existing methods for monitoring levee safety are relatively traditional, often relying on manual inspections or local monitoring equipment. Manual inspections are not only inefficient but also difficult to achieve real-time monitoring, making it easy to miss potential safety hazards. While local monitoring equipment can provide certain data, its low level of automation results in slow data updates and a lack of comprehensive early warning capabilities, making it unable to meet the demand for comprehensive, real-time monitoring of levee safety. Summary of the Invention

[0004] The purpose of the present invention is to provide a device and application for monitoring the safety of embankment seepage, deformation and settlement, which solves the problem that the existing embankment safety monitoring methods are relatively traditional and rely on manual inspections or local monitoring equipment, resulting in a low degree of automation, untimely updating of monitoring data, and lack of comprehensive early warning functions. It cannot meet the needs of all-round and real-time monitoring of embankment safety and has certain safety hazards.

[0005] To achieve the above objectives, the present invention provides a device for monitoring the seepage, deformation and settlement of dikes, which includes a seepage monitoring module, a settlement monitoring module, and a deformation monitoring module.

[0006] The seepage monitoring module includes an inclinometer tube, an armored optical fiber, and an optical fiber demodulator. A groove is provided inside the inclinometer tube. The armored optical fiber is fixedly wound around the outside of the inclinometer tube by quick-drying glue. The optical fiber demodulator is connected to the armored optical fiber.

[0007] The settlement monitoring module includes an industrial camera and a camera fixing frame, wherein the industrial camera is fixed above the sheet metal box via the camera fixing frame;

[0008] The deformation monitoring module includes a PVC tube, a weak fiber Bragg grating, and a weak fiber demodulator. Weak fiber Bragg gratings are provided on the upper and lower surfaces of the PVC tube. The weak fiber Bragg gratings are fixed to the outside of the PVC tube with high-strength quick-drying glue. The weak fiber demodulator is connected to the weak fiber Bragg grating.

[0009] Preferably, the device also includes a data processing module, an early warning module, a heating power supply module, a remote monitoring platform, a sheet metal box, and a ring clamp. The seepage monitoring module is connected to the sheet metal box through a wire, the deformation monitoring module is sleeved inside the seepage monitoring module, and the settlement monitoring module is connected to the sheet metal box through a wire. The data processing module, the early warning module, and the heating power supply module are installed inside the sheet metal box, and the ring clamp is fixed to the outside of the deformation monitoring module.

[0010] Preferably, the optical fiber demodulator is installed inside the sheet metal box, and the weak optical fiber demodulator is installed inside the sheet metal box.

[0011] Preferably, the data processing module is communicatively connected to the seepage monitoring module, the settlement monitoring module, the deformation monitoring module, the early warning module, and the remote monitoring platform respectively.

[0012] Preferably, the early warning module includes a communication unit and a power supply unit, and the early warning module is communicatively connected to the remote monitoring platform.

[0013] Preferably, the annular clamp includes a fan-shaped protrusion, an arc, and a fixing bolt. The annular clamp is fixed to the outside of the PVC pipe by bolts. Fixing bolts are provided at both ends of the arc, and the fixing bolts are clamped in the groove inside the inclinometer pipe.

[0014] Preferably, the heating power supply module is connected to the armored optical fiber through a wire.

[0015] An application of a levee seepage, deformation and settlement safety monitoring device includes the following steps:

[0016] S1. Set up observation points at preset locations on the embankment, place seepage monitoring modules and deformation monitoring modules inside the embankment, and install industrial cameras at fixed locations for image acquisition. Regularly and cyclically capture images of target sections of the embankment at set time intervals to obtain embankment seepage, settlement, and deformation data.

[0017] S2. The data processing module receives and processes the monitoring data of the industrial camera and transmits it to the early warning module and the remote monitoring platform;

[0018] S3, the early warning module uses algorithms to analyze whether the monitoring data exceeds the safety threshold and issues an alarm if an abnormality is detected;

[0019] S4. Staff observe monitoring data in real time through the remote monitoring platform.

[0020] Therefore, the present invention adopts the above-mentioned embankment seepage, deformation and settlement safety monitoring device and application, and the technical effects are as follows:

[0021] 1. Improved the real-time and accuracy of monitoring: Through automated monitoring equipment and data processing modules, real-time and accurate monitoring of the embankment's safety status is achieved.

[0022] 2. Enhanced early warning capabilities: The intelligent algorithm built into the early warning module can automatically identify whether the levee is in a safe state, issue an early warning based on the set threshold, and promptly notify relevant management personnel, effectively avoiding potential safety hazards.

[0023] 3. All-round monitoring is achieved: By integrating seepage monitoring devices, settlement monitoring devices and deformation monitoring devices, integrated and all-round monitoring of embankment seepage, deformation and settlement is achieved, providing comprehensive protection for embankment safety.

[0024] 4. Improved management efficiency: The remote monitoring platform provides an Internet-based remote monitoring platform. Users can view the monitoring data of the levee in real time through web pages or mobile applications, and perform remote control and troubleshooting, which greatly improves management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0026] Figure 2 This is the overall module flow chart of the present invention;

[0027] Figure 3 This is a structural diagram of the settlement monitoring module of the present invention;

[0028] Figure 4 This is a structural diagram of the seepage monitoring module and deformation monitoring module of the present invention;

[0029] Figure 5 It is a side view of the seepage monitoring module and deformation monitoring module of the present invention.

[0030] Reference numerals

[0031] 1. Seepage monitoring module; 101. Inclinometer tube; 102. Armored optical fiber; 103. Optical fiber demodulator; 2. Settlement monitoring module; 201. Industrial camera; 202. Camera mounting bracket; 3. Deformation monitoring module; 301. PVC tube; 302. Low-frequency fiber Bragg grating (FBG); 303. Low-frequency fiber demodulator; 4. Data processing module; 5. Early warning module; 501. Communication unit; 502. Power supply unit; 6. Ring clamp; 601. Fan-shaped protrusion; 602. Circular arc; 603. Fixing bolt; 7. Heating power supply module; 8. Remote monitoring platform; 9. Sheet metal box. DETAILED DESCRIPTION

[0032] The technical solution of the present invention is further described below with reference to the accompanying drawings and embodiments.

[0033] Unless otherwise defined, technical or scientific terms used in the present invention shall have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs.

[0034] Example 1

[0035] like Figure 1-Figure 2 As shown, the present invention provides a device for monitoring the safety of seepage, deformation and settlement of a levee, comprising a seepage monitoring module 1, a settlement monitoring module 2, a deformation monitoring module 3, a data processing module 4, an early warning module 5, a heating power supply module 7, a remote monitoring platform 8, a sheet metal box 9, and a ring clamp 6. By integrating multiple components such as the seepage monitoring module 1, the settlement monitoring module 2, and the deformation monitoring module 3, all-round and real-time monitoring of the safety status of the levee is achieved.

[0036] The seepage monitoring module 1 includes an inclinometer tube 101, an armored optical fiber 102, and a fiber optic interrogator 103. The inclinometer tube 101 has a groove inside, and the armored optical fiber 102 is secured to the outside of the inclinometer tube 101 with quick-drying adhesive. The fiber optic interrogator 103 is installed inside the sheet metal box 9 and connected to the armored optical fiber 102. The seepage monitoring module 1 senses seepage within the dike through the armored optical fiber 102. The fiber optic interrogator 103 converts the optical fiber signal into readable data, allowing real-time monitoring of seepage changes within the dike.

[0037] Settlement monitoring module 2 includes an industrial camera 201 and a camera mount 202. Industrial camera 201 is fixed to sheet metal box 9 via camera mount 202. Industrial camera 201 periodically captures images of the target section of the embankment at set intervals and uses image analysis technology to obtain embankment settlement data.

[0038] The deformation monitoring module 3 includes a PVC tube 301, a weak fiber Bragg grating (FBG) 302, and a weak fiber demodulator 303. Fiber Bragg gratings (FBGs) 302 are installed on both the upper and lower surfaces of the PVC tube 301. The FBGs 302 are fixed to the outside of the PVC tube 301 with high-strength, quick-drying glue. After the quick-drying glue has completely solidified, a layer of epoxy resin is applied to encapsulate and protect the optical fiber. The weak fiber demodulator 303 is installed inside the sheet metal box 9 and connected to the FBGs 302. The deformation monitoring module 3 senses the deformation of the levee through the FBGs 302. The weak fiber demodulator 303 converts the optical fiber signal into readable data, monitoring the deformation of the levee in real time.

[0039] The annular clamp 6 comprises a sector-shaped protrusion 601, a circular arc 602, and a fixing bolt 603. It is bolted to the exterior of the PVC pipe 301. The circular arc 602 is provided with fixing bolts 603 at both ends, which engage with grooves within the inclinometer tube 101. The annular clamp 6 is used to secure the deformation monitoring module 3, ensuring a stable relative position between the PVC pipe 301 and the inclinometer tube 101, thereby improving the accuracy of the monitoring data.

[0040] Data processing module 4 is installed inside sheet metal box 9 and is connected to the seepage monitoring module 1, settlement monitoring module 2, deformation monitoring module 3, early warning module 5, and remote monitoring platform 8. Data processing module 4 receives and processes monitoring data from seepage monitoring module 1, settlement monitoring module 2, and deformation monitoring module 3, performs data analysis and processing, and then transmits the processed data to early warning module 5 and remote monitoring platform 8.

[0041] Early warning module 5, comprising a communication unit 501 and a power supply unit 502, is installed inside sheet metal enclosure 9 and is connected to remote monitoring platform 8. It receives monitoring data from data processing module 4 and uses a built-in intelligent algorithm to analyze whether the data exceeds safety thresholds. If an abnormality is detected, an alarm is issued, notifying relevant management personnel for action.

[0042] The heating power module 7 is installed inside the sheet metal box 9 and connected to the armored optical fiber 102 via wires. Because the metal outer layer surrounding the inner core of the armored optical fiber 102 is connected to the heating power source via wires, it can be heated by the heating power source, providing a linear heat source along the entire length of the optical fiber. The outer metal "armor" protects the inner core and allows for natural bending, offering high-voltage and high-tension resistance, providing excellent cable protection and safety. The heating power module 7 provides the necessary heating power for the armored optical fiber 102, ensuring its proper operation even in low-temperature environments and improving the accuracy of monitoring data.

[0043] Remote Monitoring Platform 8 is an internet-based remote monitoring platform that allows users to view real-time monitoring data of the dike via a webpage or mobile application. Remote Monitoring Platform 8 receives monitoring data from Data Processing Module 4 and provides users with real-time, accurate information on the dike's safety status, allowing users to remotely control and troubleshoot.

[0044] The sheet metal box 9 is the outer shell of the device, and components such as the data processing module 4, the early warning module 5, and the heating power supply module 7 are installed inside. The sheet metal box 9 provides protection for the internal components, preventing damage to the components from the external environment, and facilitating the installation and maintenance of the components.

[0045] The monitoring principles of each module of the above device are as follows:

[0046] The settlement monitoring module 2 uses machine vision technology to achieve data conversion by establishing a mapping relationship between the spatial coordinates of the measured object A and the visual imaging coordinates. Specifically:

[0047] Assume that the coordinates of the object A under test in three-dimensional space are (x, y, z), and the corresponding coordinates in the visual coordinate system after imaging by industrial camera 201 are (x1, y1, z1). The two are mapped using a geometric transformation model. Automatically acquire levee monitoring images based on preset time intervals, and convert the original image data into structured data in a standard space coordinate system using a coordinate system conversion algorithm. Perform feature point matching and three-dimensional reconstruction on the converted image data based on a machine vision algorithm to extract high-precision displacement monitoring values. Calculate the displacement difference between adjacent monitoring cycles using a time series data analysis module to generate a dataset of levee settlement changes. The geometric transformation expression is:

[0048] (x1,y1,z1)=R×(x,y,z)+T(3);

[0049] Among them, R is the spatial rotation matrix; T is the translation vector of the coordinate point in space.

[0050] The distance between x1 and y1 is calculated by the pinhole imaging model in machine vision. The calculation formula is as follows:

[0051]

[0052] Where f is the focal length of the photograph when it is imaged by the computer. According to the above method, the distance of the point in the space where the measured object is located is measured to preliminarily understand the spatial position of the settlement point.

[0053] In levee dam settlement monitoring module 2, the data acquisition frequency must be set via the terminal to enable real-time data collection and analysis. To eliminate systematic errors, a dynamic calibration algorithm is used to correct the monitoring results: first, the acquired images are gridded, and a reference reference system is established through a regional calibration strategy. Second, the light spot positioning is controlled using a three-dimensional fine-tuning platform, precisely adjusting the initial light point to the center of the target and ensuring that the light spot is evenly distributed within the image area to avoid edge distortion affecting calibration accuracy. Furthermore, the relative distance between the target and the camera must remain stable. Excessive distance will lead to increased optical distortion and amplified pixel displacement errors, affecting the mapping accuracy of the spatial coordinate system. When the levee dam settles, the light spot center offset can be used as a deformation criterion. Combined with the dynamic calibration algorithm, the displacement data can be corrected to ensure the reliability of the monitoring results.

[0054] In the embedded computer vision program, the correction expression of the monitoring result is:

[0055]

[0056] Among them, Δ is the correction processing of the monitoring result; F is the image grayscale; m is the horizontal parameter in the image matrix; and n is the vertical parameter in the image matrix.

[0057] The inverse finite element method used in the deformation monitoring module 3 is an intelligent computing method based on inverse problem solving. This method uses a small amount of discrete strain data as input parameters and reconstructs the displacement field distribution of the structure by inversely analyzing the finite element model. Specifically, the module inversely calculates the displacement change of the structure by processing strain-stress information. In actual engineering applications, the weak fiber Bragg grating 302 technology forms a quasi-continuous distributed sensing network by densely arranging thousands of grating points with a spacing of up to 10 mm on a single optical fiber. In conjunction with the discrete strain data obtained by the fiber Bragg grating demodulation equipment, real-time dynamic inversion of structural deformation can be achieved.

[0058] The distributed fiber optic seepage monitoring module 1 leverages the dual sensing and signal transmission properties of optical fiber to continuously measure temperature field data distributed along the fiber and accurately locate areas of temperature anomalies. This technology, based on the coupling mechanism of the temperature field and seepage field, indirectly identifies seepage phenomena by monitoring temperature field anomalies. Specifically in dam projects, seepage causes characteristic distortions in the local temperature field. By establishing a light-to-temperature signal conversion model in distributed optical fiber and combining it with the seepage-temperature coupling relationship, distributed positioning and real-time monitoring of dam seepage characteristics can be achieved.

[0059] The present invention provides a device for monitoring embankment seepage, deformation and settlement safety, which is specifically used for:

[0060] S1. Set up an observation point at a preset location on the embankment, place the seepage monitoring module 1 and the deformation monitoring module 3 inside the embankment, and install an industrial camera 201 at a fixed location to collect images. The camera regularly captures images of the target section of the embankment at a set time interval to obtain data on seepage, settlement, and deformation of the embankment.

[0061] S2, after the data processing module 4 receives and processes the monitoring data of the industrial camera 201, it transmits it to the early warning module 5 and the remote monitoring platform 8;

[0062] S3, the early warning module 5 uses an algorithm to analyze whether the monitoring data exceeds the safety threshold and issues an alarm if an abnormality is detected;

[0063] S4. The staff observes the monitoring data in real time through the remote monitoring platform 8.

[0064] Therefore, the present invention adopts the above-mentioned embankment seepage, deformation and settlement safety monitoring device and application to significantly improve the real-time, accuracy and automation level of embankment safety monitoring, reduce operation and maintenance costs, improve management efficiency, and provide strong guarantees for the safe operation of embankment projects.

[0065] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit the same. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solutions of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A device for monitoring the safety of embankment seepage, deformation and settlement, characterized in that: The device includes seepage monitoring module, settlement monitoring module, deformation monitoring module The seepage monitoring module includes an inclinometer tube, an armored optical fiber, and an optical fiber demodulator. A groove is provided inside the inclinometer tube. The armored optical fiber is fixedly wound around the outside of the inclinometer tube by quick-drying glue. The optical fiber demodulator is connected to the armored optical fiber. The settlement monitoring module includes an industrial camera and a camera fixing frame, wherein the industrial camera is fixed above the sheet metal box via the camera fixing frame; The deformation monitoring module includes a PVC tube, a weak fiber Bragg grating, and a weak fiber demodulator. Weak fiber Bragg gratings are provided on the upper and lower surfaces of the PVC tube. The weak fiber Bragg gratings are fixed to the outside of the PVC tube with high-strength quick-drying glue. The weak fiber demodulator is connected to the weak fiber Bragg grating.

2. A device for monitoring embankment seepage, deformation and settlement safety according to claim 1, characterized in that: The device also includes a data processing module, an early warning module, a heating power supply module, a remote monitoring platform, a sheet metal box, and a ring clamp. The seepage monitoring module is connected to the sheet metal box via a wire, the deformation monitoring module is sleeved inside the seepage monitoring module, and the settlement monitoring module is connected to the sheet metal box via a wire. The data processing module, the early warning module, and the heating power supply module are installed inside the sheet metal box, and the ring clamp is fixed to the outside of the deformation monitoring module.

3. The device for monitoring embankment seepage, deformation and settlement safety according to claim 2, characterized in that: The optical fiber demodulator is installed inside the sheet metal box, and the weak optical fiber demodulator is installed inside the sheet metal box.

4. The device for monitoring embankment seepage, deformation and settlement safety according to claim 2, characterized in that: The data processing module is respectively connected to the seepage monitoring module, the settlement monitoring module, the deformation monitoring module, the early warning module and the remote monitoring platform for communication.

5. The device for monitoring embankment seepage, deformation and settlement safety according to claim 2, characterized in that: The early warning module includes a communication unit and a power supply unit, and the early warning module is communicatively connected to the remote monitoring platform.

6. The device for monitoring embankment seepage, deformation and settlement safety according to claim 2, characterized in that: The annular clamp includes a fan-shaped protrusion, an arc, and a fixing bolt. The annular clamp is fixed to the outside of the PVC pipe by bolts. Fixing bolts are provided at both ends of the arc, and the fixing bolts are clamped in the groove inside the inclinometer pipe.

7. The device for monitoring embankment seepage, deformation and settlement safety according to claim 2, characterized in that: The heating power supply module is connected to the armored optical fiber through a wire.

8. Application of a device for monitoring the safety of embankment seepage, deformation and settlement, wherein the device for monitoring the safety of embankment seepage, deformation and settlement according to claims 1 to 7 is applied to embankment monitoring, characterized in that: The following steps are involved: S1. Set up observation points at preset locations on the embankment, place seepage monitoring modules and deformation monitoring modules inside the embankment, and install industrial cameras at fixed locations for image acquisition. Regularly and cyclically capture images of target sections of the embankment at set time intervals to obtain embankment seepage, settlement, and deformation data. S2. The data processing module receives and processes the monitoring data of the industrial camera and transmits it to the early warning module and the remote monitoring platform; S3, the early warning module uses algorithms to analyze whether the monitoring data exceeds the safety threshold and issues an alarm if an abnormality is detected; S4. Staff observe monitoring data in real time through the remote monitoring platform.

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