A method and system for monitoring road structures

Abstract

The present invention provides a method and system for monitoring structures under roads, wherein the method includes: setting a vibration sensing module at a preset position of the road, using the vibration sensing module to collect vibration data generated under the road; extracting features from the vibration data to obtain resonance peak distribution features of the vibration data; converting the resonance peak distribution features into a depth domain to draw an underground structure image; performing stability assessment on the underground structure image according to early warning rules that match the road characteristics, obtaining stability assessment results, and issuing early warnings for road structures that do not meet stability requirements. Through the present invention, the vibration features of highways, airport runways, and other key areas of concern can be obtained in real time to discover potential safety risks; there is no need to carry out large-scale transformation of transportation facilities, reducing installation and maintenance costs; and improving the early warning capabilities of landslide disasters.

Description

Technical Field

[0001] The present invention relates to the technical field of road structure safety monitoring, and in particular to a road understructure monitoring method and system. Background Art

[0002] With the continuous development of modern transportation infrastructure, the number and scale of roads such as highways and airport runways have increased significantly. However, the substructures of these roads have long been affected by the natural environment and vehicle loads, and are prone to risks such as collapse and deformation, which are directly related to the safety of transportation and life and property. However, traditional underground detection methods such as ground penetrating radar have problems such as high cost, poor real-time performance, and limited coverage. Summary of the invention

[0003] To this end, the present invention provides a road substructure monitoring method and system, aiming to solve the technical problems of high cost, poor real-time performance and limited coverage in the prior art for road substructure safety monitoring.

[0004] To achieve the above objectives, the present invention adopts the following technical solutions:

[0005] According to a first aspect of the present invention, the present invention provides a method for monitoring a road structure, the method comprising:

[0006] A vibration sensing module is arranged at a preset position of the road, and the vibration data generated under the road is collected by using the vibration sensing module; the road includes a highway and / or an airport runway;

[0007] Extracting features from the vibration data to obtain resonance peak distribution features of the vibration data;

[0008] Converting the resonance peak distribution characteristics into a depth domain to obtain an underground structure image;

[0009] The underground structure image is subjected to stability evaluation according to early warning rules matching the road characteristics to obtain a stability evaluation result, and an early warning is issued for the road structure that does not meet the stability requirements.

[0010] Optionally, the step of setting a vibration sensing module at a preset position on the road includes:

[0011] A plurality of vibration sensing devices are arranged at predetermined intervals at preset positions on the road; the vibration sensing devices are high-sensitivity acceleration sensors or seismographs;

[0012] The preset position of the road includes at least one of the top of the slope, the sliding surface and the potential crack.

[0013] Optionally, before extracting features from the vibration data, the method further includes:

[0014] Performing data preprocessing on the vibration data to obtain valid vibration data;

[0015] The data preprocessing includes at least one of de-averaging, de-trending, denoising and filtering.

[0016] Optionally, extracting features from the vibration data to obtain resonance peak distribution features of the vibration data includes:

[0017] The resonance peak distribution characteristics are extracted from the effective vibration data to obtain the frequency distribution characteristics and the power spectrum distribution characteristics.

[0018] Optionally, converting the resonance peak distribution feature into a depth domain and drawing an underground structure image includes:

[0019] Modifying the frequency distribution characteristics and the power spectrum distribution characteristics to obtain target distribution characteristics;

[0020] Using the FFT Fourier transform method to perform time domain inverse transformation on the target distribution characteristics to obtain a characteristic time domain signal;

[0021] The characteristic time domain signal is converted into a depth domain signal according to a preset mapping rule to obtain an underground structure image representing the vibration characteristic parameters corresponding to the road depth.

[0022] Optionally, performing stability assessment on the underground structure image according to the early warning rule matching the road characteristics to obtain a stability assessment result includes:

[0023] comparing a vibration characteristic parameter corresponding to the road depth in the underground structure image with a warning threshold;

[0024] If the vibration characteristic parameter does not exceed the warning threshold, the stability assessment result of the road substructure meets the safety requirements;

[0025] If the vibration characteristic parameter exceeds the warning threshold, the stability assessment result of the road structure does not meet the safety requirements;

[0026] The warning threshold is determined according to the slope characteristics and historical vibration data of the road.

[0027] Optionally, the step of providing an early warning for a road structure that does not meet the stability requirement includes:

[0028] Determining the risk level of the structure under the road according to the extent to which the vibration characteristic parameter exceeds the warning threshold;

[0029] Set up multi-level warning signals for different risk levels to provide corresponding warnings.

[0030] Optionally, the method further comprises:

[0031] The stability assessment results and warning information are displayed, stored and / or downloaded using a human-computer interaction interface.

[0032] According to a second aspect of the present invention, the present invention provides a road structure monitoring system, the system comprising a vibration sensing module, a data acquisition module and a central processing module; the data acquisition module is respectively connected to the vibration sensing module and the central processing module in communication;

[0033] The vibration sensor module is arranged at a preset position on the road and is used to collect vibration data generated under the road;

[0034] The data acquisition module is used to receive the vibration data from the vibration sensing module and transmit the vibration data to the central processing module;

[0035] The central processing module is used to extract features from the vibration data to obtain resonance peak distribution features of the vibration data; convert the resonance peak distribution features into a depth domain to draw an underground structure image; perform stability assessment on the underground structure image according to early warning rules that match road characteristics to obtain stability assessment results, and issue early warnings for road structures that do not meet stability requirements.

[0036] Optionally, the data acquisition module includes at least one data acquisition device with high sampling rate and low power consumption characteristics.

[0037] The present invention adopts the above technical solution and has at least the following beneficial effects:

[0038] Through the scheme of the present invention, a vibration sensing module is set at a preset position of the road, and the vibration sensing module is used to collect vibration data generated under the road; feature extraction is performed on the vibration data to obtain the resonance peak distribution characteristics of the vibration data; the resonance peak distribution characteristics are converted into a depth domain to draw an underground structure image; the stability of the underground structure image is evaluated according to the early warning rules that match the road characteristics to obtain a stability evaluation result, and an early warning is issued for the road structure that does not meet the stability requirements. Thus, a scheme for using vibration data to explore and monitor the lower structure and stability of roads and runways is provided, which can monitor and evaluate the spatial stability of the lower part of transportation facilities in real time at low cost, discover potential collapse and deformation risks, and provide early warning information.

[0039] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention 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, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A schematic diagram showing a flow chart of a method for monitoring a road structure provided by an embodiment of the present invention;

[0042] Figure 2 A schematic diagram showing the installation position of a vibration sensor module provided by an embodiment of the present invention is shown;

[0043] Figure 3 A brief schematic diagram of an underground structure image provided by an embodiment of the present invention is shown;

[0044] Figure 4 A schematic diagram of the structure of a road understructure monitoring system provided by an embodiment of the present invention is shown;

[0045] Figure 5 A schematic structural diagram of a road understructure monitoring system provided by another embodiment of the present invention is shown. DETAILED DESCRIPTION

[0046] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0047] It should be noted that, in this article, relational terms such as first and second, etc. 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. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "include..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0048] The embodiment of the present invention provides a method for monitoring a road structure. Figure 1As shown, at least the following steps S101 to S104 may be included:

[0049] Step S101, setting a vibration sensor module at a preset position on the road, and using the vibration sensor module to collect vibration data generated under the road.

[0050] Existing road monitoring systems include monitoring cameras, traffic and vehicle monitoring sensors, etc. However, these visual devices cannot detect potential risks of structures under the road. Therefore, the embodiment of the present invention integrates the vibration sensor module into the existing road monitoring system, which can further enhance the ability of event and anomaly detection and response, generate images of structures under the road, and monitor potential risks of structures under the road. Through real-time monitoring, potential dangers can be discovered in advance, so that timely intervention can be carried out to reduce the possibility of serious road accidents.

[0051] In the embodiments of the present invention, multiple vibration sensing devices may be arranged at predetermined intervals at preset positions on the road. The vibration sensing devices may be high-sensitivity acceleration sensors or seismographs. Roads generally refer to highways or airport runways. Vibration sensing devices are installed in key areas of concern to capture changes in small displacements or vibrations, including key locations such as the top of the slope, sliding surfaces, and potential cracks, to fully capture vibration data of the road's underlying structure. It should be noted that the layout of the vibration sensing devices should also take into account factors such as the material properties of the road and traffic flow. For example, Figure 2 The figure shows the installation location of the vibration sensor device (seismograph) on the road or runway. The triangle is the vibration sensor device, which is set at a certain distance along the direction of traffic flow to fully capture the vibration data generated under the road.

[0052] In addition, in the embodiment of the present invention, a data acquisition module is used to receive vibration data from a vibration sensing module. The data acquisition module can be multiple data collectors with high sampling rate and low power consumption characteristics. The data collectors have high sampling rate and low power consumption characteristics, which can ensure the stability of long-term monitoring, and convert the received vibration data into vibration data that can be recognized by a computer and send it to the central processing module for subsequent data processing.

[0053] Step S102: extracting features from the vibration data to obtain resonance peak distribution features of the vibration data.

[0054] Before extracting features from vibration data, the embodiment of the present invention also requires data preprocessing of the vibration data to obtain effective vibration data, wherein the data preprocessing may include removing the mean, removing the trend, removing the noise, and filtering.

[0055] Furthermore, the embodiment of the present invention uses time domain and frequency domain analysis to extract main vibration components in vibration data, and can extract resonance peak distribution characteristics from effective vibration data to obtain frequency distribution characteristics and power spectrum distribution characteristics.

[0056] Step S103: convert the resonance peak distribution characteristics into the depth domain and draw an underground structure image.

[0057] Specifically, the frequency distribution characteristics and the power spectrum distribution characteristics are corrected to obtain the target distribution characteristics; the target distribution characteristics are inversely transformed in the time domain using the FFT Fourier transform method to obtain characteristic time domain signals; the characteristic time domain signals are converted into depth domain signals according to preset mapping rules to obtain an underground structure image that characterizes the vibration characteristic parameters corresponding to the road depth.

[0058] The preset mapping rule in the embodiment of the present invention may be a mapping rule based on expert experience, which maps the time domain signal to the depth domain signal through an empirical relationship. Thus, the vibration characteristic parameters corresponding to each depth data under the road can be obtained, and the following can be drawn: Figure 3 The underground structure image shown in the figure can intuitively reflect the underground structure information based on the underground structure image.

[0059] Step S104, performing stability assessment on the underground structure image according to the early warning rules matching the road characteristics, obtaining a stability assessment result, and issuing an early warning for the road structure that does not meet the stability requirements.

[0060] The warning rule in the embodiment of the present invention may be to compare the vibration characteristic parameter corresponding to the road depth in the underground structure image with the warning threshold; the warning threshold may be determined according to the slope characteristics of the road and historical vibration data.

[0061] If the vibration characteristic parameters do not exceed the warning threshold, the stability assessment results of the road structure meet the safety requirements; if the vibration characteristic parameters exceed the warning threshold, it means that the road structure may be abnormal (such as collapse, deformation and other structural defects), and it is considered that the stability assessment results of the road structure do not meet the safety requirements.

[0062] When the stability assessment results do not meet safety requirements, an early warning will be issued for the road structure. The risk level of the structure under the road can be determined based on the degree to which the vibration characteristic parameters exceed the early warning threshold. For example, different colors can be used to display the corresponding risk levels: yellow (low risk), orange (medium risk), red (high risk), etc. Relevant personnel can take corresponding response measures based on the risk level.

[0063] Furthermore, the embodiment of the present invention can also use a human-computer interaction interface (graphical interface) to display and download stability assessment results and warning information for safety management and maintenance decisions of highway slopes. In addition, this information can be stored in a database as historical data to support subsequent optimization of the solution and prediction of road safety trends.

[0064] The embodiment of the present invention provides a method for monitoring underground structures of roads, airport runways and other key areas based on vibration data for underground structure exploration and stability monitoring, and feature extraction and analysis of vibration signals. It can accurately evaluate the structure and stability of roads, airport runways and other areas in real time, and establish an effective early warning mechanism, providing reliable data support for the safe management and maintenance of transportation facilities, and has important application value and broad market prospects.

[0065] Further, as Figure 1 The specific implementation of the present invention provides a road structure monitoring system, such as Figure 4 As shown, the system may include: a vibration sensing module 410, a data acquisition module 420 and a central processing module 430; the data acquisition module 420 is respectively connected to the vibration sensing module 410 and the central processing module 430 for communication, and realizes real-time transmission and processing of data through a wireless or wired network.

[0066] The vibration sensor module 410 is disposed at a preset position on the road and can be used to collect vibration data generated under the road;

[0067] The data acquisition module 420 includes at least one data acquisition device with high sampling rate and low power consumption characteristics, which can be used to receive vibration data from the vibration sensing module 410 and transmit the vibration data to the central processing module 430;

[0068] The central processing module 430 can be used to extract features from vibration data to obtain resonance peak distribution features of the vibration data; convert the resonance peak distribution features into a depth domain to draw an underground structure image; perform stability assessment on the underground structure image according to early warning rules that match the road characteristics to obtain stability assessment results, and issue early warnings for road structures that do not meet stability requirements.

[0069] In an alternative embodiment, if Figure 5 As shown, another embodiment of the present invention provides a road structure monitoring system, including a display analysis module 440 , which is communicatively connected to a central processing module 430 .

[0070] The display analysis module 440 may also be used to display, store and / or download the stability assessment results and warning information on a page using a human-computer interaction interface.

[0071] Optionally, the vibration sensing module 410 may also be used to set a plurality of vibration sensing devices at a certain distance at a preset position on the road; the vibration sensing device is a high-sensitivity acceleration sensor or a seismograph;

[0072] The preset position of the road includes at least one of the top of the slope, the sliding surface and the potential crack.

[0073] Optionally, the central processing module 430 may also be used to pre-process the vibration data before extracting features from the vibration data to obtain valid vibration data;

[0074] The data preprocessing includes at least one of de-averaging, de-trending, de-noising and filtering.

[0075] Optionally, the central processing module 430 may also be used to extract resonance peak distribution characteristics from effective vibration data to obtain frequency distribution characteristics and power spectrum distribution characteristics.

[0076] Optionally, the central processing module 430 may also be used to modify the frequency distribution characteristics and the power spectrum distribution characteristics to obtain the target distribution characteristics;

[0077] The FFT Fourier transform method is used to perform time domain inverse transformation on the target distribution characteristics to obtain characteristic time domain signals;

[0078] The characteristic time domain signal is converted into a depth domain signal according to a preset mapping rule to obtain an underground structure image that characterizes the vibration characteristic parameters corresponding to the road depth.

[0079] Optionally, the central processing module 430 may also be used to compare the vibration characteristic parameter corresponding to the road depth in the underground structure image with the warning threshold;

[0080] If the vibration characteristic parameters do not exceed the warning threshold, the stability assessment results of the road substructure meet the safety requirements;

[0081] If the vibration characteristic parameters exceed the warning threshold, the stability assessment results of the road structure do not meet the safety requirements;

[0082] Among them, the warning threshold is determined based on the slope characteristics of the road and historical vibration data.

[0083] Optionally, the central processing module 430 may also be used to determine the risk level of the structure under the road according to the extent to which the vibration characteristic parameter exceeds the warning threshold;

[0084] Set up multi-level warning signals for different risk levels to provide corresponding warnings.

[0085] It should be noted that for other corresponding descriptions of the functional modules involved in the road structure monitoring system provided in the embodiment of the present invention, reference can be made to Figure 1 The corresponding description of the method shown will not be repeated here.

[0086] Those skilled in the art can clearly understand that the specific working processes of the systems, devices, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and for the sake of brevity, they are not further described here.

[0087] In addition, the functional units in various embodiments of the present invention may be physically independent of each other, or two or more functional units may be integrated together, or all functional units may be integrated into one processing unit. The above integrated functional units may be implemented in the form of hardware, or in the form of software or firmware.

[0088] A person skilled in the art can understand that if the integrated functional unit is implemented in the form of software and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention can be essentially or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, which includes several instructions to enable a computing device (such as a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention when running the instructions. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program codes.

[0089] Alternatively, all or part of the steps of implementing the aforementioned method embodiments may be accomplished by hardware associated with program instructions (such as a computing device such as a personal computer, a server, or a network device), and the program instructions may be stored in a computer-readable storage medium. When the program instructions are executed by a processor of the computing device, the computing device executes all or part of the steps of the method described in the various embodiments of the present invention.

[0090] 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 it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that within the spirit and principles of the present invention, the technical solutions described in the aforementioned embodiments can still be modified, or some or all of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate from the protection scope of the present invention.

Claims

1. A method for monitoring a road structure, characterized in that: The method comprises: A vibration sensing module is arranged at a preset position of the road, and the vibration data generated under the road is collected by using the vibration sensing module; the road includes a highway and / or an airport runway; Extracting features from the vibration data to obtain resonance peak distribution features of the vibration data; Converting the resonance peak distribution characteristics into a depth domain to obtain an underground structure image; Performing stability evaluation on the underground structure image according to early warning rules matching road characteristics, obtaining stability evaluation results, and issuing early warnings for road structures that do not meet stability requirements; The extracting features of the vibration data to obtain the resonance peak distribution features of the vibration data includes: Extract the resonance peak distribution characteristics from the effective vibration data to obtain the frequency distribution characteristics and power spectrum distribution characteristics; The step of converting the resonance peak distribution characteristics into a depth domain and drawing an underground structure image comprises: Modifying the frequency distribution characteristics and the power spectrum distribution characteristics to obtain target distribution characteristics; Using the FFT Fourier transform method to perform time domain inverse transformation on the target distribution characteristics to obtain a characteristic time domain signal; The characteristic time domain signal is converted into a depth domain signal according to a preset mapping rule to obtain an underground structure image representing the vibration characteristic parameters corresponding to the road depth.

2. The method according to claim 1, characterized in that The step of setting a vibration sensing module at a preset position on the road includes: A plurality of vibration sensing devices are arranged at predetermined intervals at preset positions on the road; the vibration sensing devices are high-sensitivity acceleration sensors or seismographs; The preset position of the road includes at least one of the top of the slope, the sliding surface and the potential crack.

3. The method according to claim 1, characterized in that Before extracting features from the vibration data, the method further includes: Performing data preprocessing on the vibration data to obtain valid vibration data; The data preprocessing includes at least one of de-averaging, de-trending, denoising and filtering.

4. The method according to claim 1, characterized in that: The step of performing stability assessment on the underground structure image according to the early warning rules matching the road characteristics to obtain a stability assessment result includes: comparing a vibration characteristic parameter corresponding to the road depth in the underground structure image with a warning threshold; If the vibration characteristic parameter does not exceed the warning threshold, the stability assessment result of the road substructure meets the safety requirements; If the vibration characteristic parameter exceeds the warning threshold, the stability assessment result of the road structure does not meet the safety requirements; The warning threshold is determined according to the slope characteristics and historical vibration data of the road.

5. The method according to claim 4, characterized in that The early warning of the road structure that does not meet the stability requirements includes: Determining the risk level of the structure under the road according to the extent to which the vibration characteristic parameter exceeds the warning threshold; Set up multi-level warning signals for different risk levels to provide corresponding warnings.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: The stability assessment results and warning information are displayed, stored and / or downloaded using a human-computer interaction interface.

7. A road structure monitoring system, characterized in that: The system includes a vibration sensing module, a data acquisition module and a central processing module; the data acquisition module is respectively connected to the vibration sensing module and the central processing module in communication; The vibration sensor module is arranged at a preset position on the road and is used to collect vibration data generated under the road; The data acquisition module is used to receive the vibration data from the vibration sensing module and transmit the vibration data to the central processing module; The central processing module is used to extract features from the vibration data to obtain resonance peak distribution features of the vibration data; convert the resonance peak distribution features into a depth domain to draw an underground structure image; perform stability assessment on the underground structure image according to early warning rules that match road characteristics to obtain stability assessment results, and issue early warnings for road structures that do not meet stability requirements; The central processing module is also used to extract the resonance peak distribution characteristics from the effective vibration data to obtain the frequency distribution characteristics and the power spectrum distribution characteristics; Modifying the frequency distribution characteristics and the power spectrum distribution characteristics to obtain target distribution characteristics; Using the FFT Fourier transform method to perform time domain inverse transformation on the target distribution characteristics to obtain a characteristic time domain signal; The characteristic time domain signal is converted into a depth domain signal according to a preset mapping rule to obtain an underground structure image representing the vibration characteristic parameters corresponding to the road depth.

8. The system according to claim 7, characterized in that The data acquisition module includes at least one data acquisition device with high sampling rate and low power consumption characteristics.

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