Pavement construction monitoring system based on distributed optical fiber sensor and control method thereof
By using distributed fiber optic sensors and controllers in the pavement construction monitoring system for signal processing and identification, the problem that traditional monitoring methods are difficult to achieve real-time and comprehensive monitoring is solved, and the effect of efficient identification of construction signals and reducing manual inspection costs is achieved.
Patent Information
- Application Number
- CN202411668569.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-21
- Publication Date
- 2025-03-18
AI Technical Summary
Traditional pavement construction monitoring methods rely on manual inspection, making it difficult to achieve comprehensive and real-time monitoring, and distributed fiber optic sensing technology is difficult to efficiently identify construction signals when processing massive data.
The road construction monitoring system based on distributed fiber sensors is adopted to obtain signals through distributed fiber sensors. The controller performs sliding window block processing, double Fourier transformation, compression dimensionality reduction and envelope analysis to identify construction signals and generate alarm signals.
Real-time processing of fiber optic sensor signals, accurately identifying construction signals, reducing manual inspection costs, and improving the response speed and decision-making accuracy of the monitoring system.
Smart Images
Figure CN119642875A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of road construction monitoring, and in particular to a road construction monitoring system based on distributed optical fiber sensors and a control method thereof. Background Art
[0002] With the continuous maintenance and renovation of infrastructure, especially during road construction near subway lines and underground pipelines, real-time monitoring of the impact of these construction activities on existing infrastructure has become crucial. However, since these monitoring areas usually cover a range of tens of kilometers, traditional monitoring methods usually rely on manual inspections, which is not only time-consuming and labor-intensive, but also difficult to achieve comprehensive and real-time monitoring. Using distributed acoustic sensing (DAS) system for real-time monitoring has solved some problems, but in the face of long-distance and long-term continuous observation, how to efficiently process these massive data and accurately identify construction signals has become a technical problem that needs to be solved urgently. Summary of the invention
[0003] In order to solve the technical problems existing in the background technology, the present invention proposes a road construction monitoring system based on distributed optical fiber sensors and a control method thereof.
[0004] The present invention proposes a road construction monitoring system based on a distributed optical fiber sensor, comprising: a distributed optical fiber sensor and a controller;
[0005] Distributed optical fiber sensors are used to obtain optical fiber sensor signals;
[0006] The controller is used to perform construction monitoring based on the fiber optic sensor signals.
[0007] Preferably, the controller comprises: a communication module and a processing module;
[0008] The communication module is used to obtain the optical fiber sensor signal transmitted by the distributed optical fiber sensor;
[0009] The processing module is used to obtain the optical fiber sensor signal collected by the distributed optical fiber sensor;
[0010] Performing sliding window block processing on the optical fiber sensor signal to obtain a plurality of first data blocks;
[0011] Performing double Fourier transform processing on the multiple first data blocks respectively to obtain multiple second data blocks;
[0012] Performing compression and dimensionality reduction processing on the plurality of second data blocks respectively to obtain a plurality of third data blocks;
[0013] Performing envelope analysis on the plurality of third data blocks to obtain envelope curve results;
[0014] The optical fiber sensor signal is identified according to the envelope result to obtain the identification result.
[0015] Preferably, the recognition result includes subway signals, road roller signals, crusher signals, and excavator signals.
[0016] Preferably, the processing module is a multi-threaded processing module.
[0017] Preferably, the controller further comprises a judgment module and an alarm module, wherein the judgment module is used to judge whether an alarm is required according to the recognition result;
[0018] When the envelope result includes the construction signal peak, it is determined that an alarm is required;
[0019] If it is determined that an alarm is necessary, an alarm signal is generated;
[0020] The alarm module is used to sound an alarm based on the early warning signal.
[0021] Preferably, performing double Fourier transform processing on the multiple first data blocks respectively to obtain the multiple second data blocks specifically includes:
[0022] Performing time domain Fourier transform on the multiple first data blocks respectively to obtain multiple frequency domain Fourier transform results;
[0023] Perform spatial domain Fourier transform on multiple frequency domain Fourier transform results respectively to obtain frequency-wave number domain transform results, and use the frequency-wave number domain transform results as the second data block.
[0024] Preferably, the envelope result includes at least one of a construction signal peak and a subway and noise interference peak, the frequency corresponding to the peak value of the construction signal peak is in the 10-40Hz frequency band, the frequency corresponding to the peak value of the subway and noise interference peak is greater than the 100Hz frequency band, and the energy of the peak value of the subway and noise interference peak is less than 50% of the peak value of the construction signal peak.
[0025] The present invention also proposes a control method for a road construction monitoring system based on a distributed optical fiber sensor, comprising:
[0026] Acquire optical fiber sensor signals detected by distributed optical fiber sensors;
[0027] Construction monitoring is carried out based on fiber optic sensor signals.
[0028] Preferably, construction monitoring is performed based on the optical fiber sensor signal, specifically including:
[0029] Performing sliding window block processing on the optical fiber sensor signal to obtain a plurality of first data blocks;
[0030] Performing double Fourier transform processing on the multiple first data blocks respectively to obtain multiple second data blocks;
[0031] Performing compression and dimensionality reduction processing on the plurality of second data blocks respectively to obtain a plurality of third data blocks;
[0032] Performing envelope analysis on the plurality of third data blocks to obtain envelope curve results;
[0033] The optical fiber sensor signal is identified according to the envelope result to obtain the identification result.
[0034] Preferably, the recognition result includes subway signals, road roller signals, crusher signals, and excavator signals.
[0035] Preferably, the processing module is a multi-threaded processing module.
[0036] Preferably, after identifying the optical fiber sensor signal according to the envelope result and obtaining the identification result, the method further includes:
[0037] According to the recognition result, determine whether an alarm is needed;
[0038] When the envelope result includes the construction signal peak, it is determined that an alarm is required;
[0039] If it is determined that an alarm is necessary, an alarm signal is generated;
[0040] Sound an alarm based on the early warning signal.
[0041] Preferably, the envelope result includes at least one of a construction signal peak and a subway and noise interference peak, the frequency corresponding to the peak value of the construction signal peak is in the 10-40Hz frequency band, the frequency corresponding to the peak value of the subway and noise interference peak is greater than the 100Hz frequency band, and the energy of the peak value of the subway and noise interference peak is less than 50% of the peak value of the construction signal peak.
[0042] Preferably, performing double Fourier transform processing on the multiple first data blocks respectively to obtain the multiple second data blocks specifically includes:
[0043] Performing time domain Fourier transform on the multiple first data blocks respectively to obtain multiple frequency domain Fourier transform results;
[0044] Perform spatial domain Fourier transform on multiple frequency domain Fourier transform results respectively to obtain frequency-wave number domain transform results, and use the frequency-wave number domain transform results as the second data block.
[0045] Preferably, the recognition result includes subway signals, road roller signals, crusher signals, and excavator signals.
[0046] In the present invention, the proposed road construction monitoring system based on distributed optical fiber sensors and its control method can make full use of the rich information of DAS data to realize real-time optical fiber sensor signal processing and feature recognition, so as to facilitate real-time construction monitoring, reduce the cost of manual inspection, and improve the response speed and decision-making accuracy of the monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS
[0047] Figure 1 A schematic flow chart of a control method for a road construction monitoring system based on distributed optical fiber sensors proposed in the present invention.
[0048] Figure 2 It is the FK spectrogram of various construction signals in the present invention.
[0049] Figure 3 It is the FK spectrum diagram and envelope result diagram of various construction signals in the present invention. DETAILED DESCRIPTION
[0050] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments of the present invention can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the implementation regulations.
[0051] Reference Figure 1 ,The present invention proposes a road construction monitoring system based on distributed optical fiber sensors, comprising: a distributed optical fiber sensor and a controller;
[0052] Distributed optical fiber sensors are used to obtain optical fiber sensor signals;
[0053] The controller is used to perform construction monitoring based on the fiber optic sensor signals.
[0054] The present invention can make full use of the rich information of DAS data to realize real-time fiber optic sensor signal processing and feature recognition, so as to facilitate real-time construction monitoring, reduce the cost of manual inspection, and improve the response speed and decision-making accuracy of the monitoring system.
[0055] In this embodiment, the controller includes: a communication module and a processing module;
[0056] The communication module is used to obtain the optical fiber sensor signal transmitted by the distributed optical fiber sensor;
[0057] The processing module is used to obtain the optical fiber sensor signal collected by the distributed optical fiber sensor;
[0058] Performing sliding window block processing on the optical fiber sensor signal to obtain a plurality of first data blocks;
[0059] Performing double Fourier transform processing on the multiple first data blocks respectively to obtain multiple second data blocks;
[0060] Performing compression and dimensionality reduction processing on the plurality of second data blocks respectively to obtain a plurality of third data blocks;
[0061] Performing envelope analysis on the plurality of third data blocks to obtain envelope curve results;
[0062] The optical fiber sensor signal is identified according to the envelope result to obtain the identification result.
[0063] Among them, the recognition results include subway signals, road roller signals, crusher signals, and excavator signals.
[0064] Since the DAS data collected along the optical fiber of the subway tunnel is easily seriously disturbed by the subway, because the subway is closest to the tunnel optical fiber and the vibration caused by the subway is very strong, if the entire data is FK transformed, then when the subway passes, the subway signal will cover the characteristics of other signals, resulting in the inability to accurately identify the signal of the construction section. Therefore, when observing the entire subway line, there must be a subway running during the observation period. This embodiment can effectively avoid the influence of subway signals by sliding window block data in time and space dimensions, and then performing FK transformation on the block data.
[0065] Moreover, since the data in the first data block and the second data block are two-dimensional data, in order to reduce the computational burden, this embodiment performs compression and dimensionality reduction processing on multiple second data blocks respectively to obtain multiple one-dimensional third data blocks; and performs envelope analysis on the multiple third data blocks.
[0066] In one specific embodiment, Figure 2 It is the FK spectrum of various construction signals.
[0067] in, Figure 2 a(1) and b(1) are the recorded subway signals. The subway tunnel line is divided into up and down lines. The optical fiber in this experiment is the optical fiber of the tunnel where the subway is located, so it not only records the strong subway running signal, but also records the wind pressure signal generated by the subway running. a(1) records the subway signal running in the adjacent tunnel, so the energy is weaker than b(1), but it is purer, and only contains the subway running signal.
[0068] in, Figure 2 c(1) in the figure is the recorded signal of the road roller, which has strong energy, wide propagation distance, obvious frequency doubling phenomenon and obvious characteristics.
[0069] in, Figure 2 d(1) in the figure is the recorded crusher signal, and the crushing action is obvious and continuous.
[0070] in, Figure 2e(1) in the figure is the recorded excavator signal, and the excavation action is obviously intermittent. The distinction between crusher and excavator signals is not high, and the excavator signal is generally weak, so the damage caused is relatively small.
[0071] in, Figure 2 f(1) in the figure is the signal recorded when the excavator is working on the subway and the subway signal basically covers the excavator signal.
[0072] Figure 3 It is the FK spectrum + envelope result diagram of various construction signals. What you need to know is that Figure 3 a(2), b(2), c(2), d(2), e(2), and f(2) are the FK spectra of the corresponding signals a(1), b(1), c(1), d(1), e(1), and f(1) respectively. Since the result of Fourier transform has conjugate symmetry, only the positive frequency part is calculated.
[0073] This embodiment compresses a two-dimensional spatiotemporal DAS data into an analysis of two points through FK transformation and dimensionality reduction operations, which can make it easier to obtain envelope results, reduce computational complexity and resource consumption, and can quickly extract useful information from a large amount of data, thereby reducing computational complexity and resource consumption, effectively warning of potential threats to subway tunnels caused by road construction and ensuring the safety of subway operations.
[0074] In order to comprehensively utilize multiple channels of information and consider the propagation distance of the construction signal, this embodiment adopts a block size of one minute in the time dimension and 200 meters in the space dimension. The sliding step length is within the range of 50-200 meters depending on the computing power. The shorter the sliding step length, the higher the spatial correlation of the signal, but the more data blocks are calculated, the greater the computing pressure.
[0075] When the processing module processes the data, when there are higher requirements for computing speed in the later stage, you can consider introducing multi-threaded computing and replacing the processing module in this embodiment with a multi-threaded processing model to enable timely data processing and early warning, reduce the cost of manual inspections, improve the response speed and decision-making accuracy of the monitoring system, and ensure the long-term safe operation of the infrastructure.
[0076] In this embodiment, the envelope result includes at least one of a construction signal peak and a subway and noise interference peak, the frequency corresponding to the peak value of the construction signal peak is in the 10-40Hz frequency band, the frequency corresponding to the peak value of the subway and noise interference peak is greater than the 100Hz frequency band, and the energy of the peak value of the subway and noise interference peak is less than 50% of the peak value of the construction signal peak.
[0077] In order to be able to give a warning in time, in a further embodiment, the controller further includes a judgment module and an alarm module, and the judgment module is used to judge whether an alarm is needed according to the recognition result;
[0078] When the envelope result includes the construction signal peak, it is determined that an alarm is required;
[0079] If it is determined that an alarm is necessary, an alarm signal is generated;
[0080] The alarm module is used to sound an alarm based on the early warning signal.
[0081] The present invention also proposes a control method for a road construction monitoring system based on a distributed optical fiber sensor, comprising:
[0082] Acquire optical fiber sensor signals detected by distributed optical fiber sensors;
[0083] Construction monitoring is carried out based on fiber optic sensor signals.
[0084] In this embodiment, construction monitoring is performed based on the optical fiber sensor signal, specifically including:
[0085] Performing sliding window block processing on the optical fiber sensor signal to obtain a plurality of first data blocks;
[0086] Performing double Fourier transform processing on the multiple first data blocks respectively to obtain multiple second data blocks;
[0087] Performing compression and dimensionality reduction processing on the plurality of second data blocks respectively to obtain a plurality of third data blocks;
[0088] Performing envelope analysis on the plurality of third data blocks to obtain envelope curve results;
[0089] The optical fiber sensor signal is identified according to the envelope result to obtain the identification result.
[0090] In this embodiment, the envelope result includes at least one of a construction signal peak and a subway and noise interference peak, the frequency corresponding to the peak value of the construction signal peak is in the 10-40Hz frequency band, the frequency corresponding to the peak value of the subway and noise interference peak is greater than the 100Hz frequency band, and the energy of the peak value of the subway and noise interference peak is less than 50% of the peak value of the construction signal peak.
[0091] In this embodiment, the recognition results include subway signals, road roller signals, crusher signals, and excavator signals.
[0092] Preferably, the processing module is a multi-threaded processing module.
[0093] In a further embodiment, after the optical fiber sensor signal is identified according to the envelope result and the identification result is obtained, it further includes: judging whether an alarm is required according to the identification result;
[0094] When the envelope result includes the construction signal peak, it is determined that an alarm is required;
[0095] If it is determined that an alarm is necessary, an alarm signal is generated;
[0096] Sound an alarm based on the early warning signal.
[0097] The data in the third data block is one-dimensional data, and the data in the first data block and the second data block are two-dimensional data.
[0098] In this embodiment, double Fourier transform processing is performed on the multiple first data blocks respectively to obtain multiple second data blocks, which specifically includes:
[0099] Performing time domain Fourier transform on the multiple first data blocks respectively to obtain multiple frequency domain Fourier transform results;
[0100] Perform spatial domain Fourier transform on multiple frequency domain Fourier transform results respectively to obtain frequency-wave number domain transform results, and use the frequency-wave number domain transform results as the second data block.
[0101] Specifically, the FK method performs double Fourier transform on the DAS acquisition data in the time and space domain, converting the signal from the time and space domain to the frequency-wavenumber domain, thereby analyzing the signal characteristics more clearly.
[0102] First, use Fourier transform to convert the time domain signal to the frequency domain. For a spatiotemporal data f(t,x), its time domain Fourier transform result is expressed as
[0103]
[0104] Where w is the angular frequency, t is the time, and F(w,x) is the transformation result of the frequency domain signal at the spatial position x.
[0105] Secondly, the spatial domain signal is converted to the wave number domain, that is, the spatial domain Fourier transform of F(w,x) is performed
[0106]
[0107] Where k is the wave number and F(w,k) is the corresponding frequency-wave number domain transformation result.
[0108] Therefore, the FK transformation can be expressed as
[0109]
[0110] Therefore, by calculating the power spectrum P(w,k) = |F(w,k)| 2 , the main characteristics of the construction signals can be analyzed.
[0111] In this embodiment, the recognition results include subway signals, road roller signals, crusher signals, and excavator signals.
[0112] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.
Claims
1. A road construction monitoring system based on distributed optical fiber sensors, characterized in that: include: Distributed fiber optic sensors and controllers; Distributed optical fiber sensors are used to obtain optical fiber sensor signals; The controller is used to perform construction monitoring based on the fiber optic sensor signals.
2. The road construction monitoring system based on distributed optical fiber sensors according to claim 1 is characterized in that: The controller includes: Communication module and processing module; The communication module is used to obtain the optical fiber sensor signal transmitted by the distributed optical fiber sensor; The processing module is used to obtain the optical fiber sensor signal collected by the distributed optical fiber sensor; Performing sliding window block processing on the optical fiber sensor signal to obtain a plurality of first data blocks; Performing double Fourier transform processing on the multiple first data blocks respectively to obtain multiple second data blocks; Performing compression and dimensionality reduction processing on the plurality of second data blocks respectively to obtain a plurality of third data blocks; Performing envelope analysis on the plurality of third data blocks to obtain envelope curve results; According to the envelope result, the optical fiber sensor signal is identified to obtain the identification result; Preferably, the processing module is a multi-threaded processing module; Preferably, the recognition result includes subway signals, road roller signals, crusher signals and excavator signals.
3. The road construction monitoring system based on distributed optical fiber sensors according to claim 2 is characterized in that: Performing double Fourier transform processing on the multiple first data blocks respectively to obtain multiple second data blocks specifically includes: Performing time domain Fourier transform on the multiple first data blocks respectively to obtain multiple frequency domain Fourier transform results; Perform spatial domain Fourier transform on multiple frequency domain Fourier transform results respectively to obtain frequency-wave number domain transform results, and use the frequency-wave number domain transform results as the second data block.
4. The road construction monitoring system based on distributed optical fiber sensors according to claim 2 is characterized in that: The envelope result includes at least one of the construction signal peak and the subway and noise interference peak. The frequency corresponding to the peak value of the construction signal peak is the 10-40Hz frequency band, the frequency corresponding to the peak value of the subway and noise interference peak is greater than the 100Hz frequency band, and the energy of the peak value of the subway and noise interference peak is less than 50% of the peak value of the construction signal peak.
5. The road construction monitoring system based on distributed optical fiber sensors according to claim 4 is characterized in that: The controller also includes a judgment module and an alarm module. The judgment module is used to judge whether an alarm is needed according to the recognition result; When the envelope result includes the construction signal peak, it is determined that an alarm is required; If it is determined that an alarm is necessary, an alarm signal is generated; The alarm module is used to sound an alarm based on the early warning signal.
6. A control method for a road construction monitoring system based on distributed optical fiber sensors, characterized in that: include: Acquire optical fiber sensor signals detected by distributed optical fiber sensors; Construction monitoring is carried out based on fiber optic sensor signals.
7. The control method of the road construction monitoring system based on distributed optical fiber sensors according to claim 6 is characterized in that: Construction monitoring is carried out based on the optical fiber sensor signals, including: Performing sliding window block processing on the optical fiber sensor signal to obtain a plurality of first data blocks; Performing double Fourier transform processing on the multiple first data blocks respectively to obtain multiple second data blocks; Performing compression and dimensionality reduction processing on the plurality of second data blocks respectively to obtain a plurality of third data blocks; Performing envelope analysis on the plurality of third data blocks to obtain envelope curve results; According to the envelope result, the optical fiber sensor signal is identified to obtain the identification result; Preferably, the processing module is a multi-threaded processing module; Preferably, the recognition result includes subway signals, road roller signals, crusher signals, and excavator signals.
8. The control method of the road construction monitoring system based on distributed optical fiber sensors according to claim 7 is characterized in that: The envelope result includes at least one of the construction signal peak and the subway and noise interference peak. The frequency corresponding to the peak value of the construction signal peak is the 10-40Hz frequency band, the frequency corresponding to the peak value of the subway and noise interference peak is greater than the 100Hz frequency band, and the energy of the peak value of the subway and noise interference peak is less than 50% of the peak value of the construction signal peak.
9. The control method of the road construction monitoring system based on distributed optical fiber sensors according to claim 7, characterized in that: Performing double Fourier transform processing on the multiple first data blocks respectively to obtain multiple second data blocks specifically includes: Performing time domain Fourier transform on the multiple first data blocks respectively to obtain multiple frequency domain Fourier transform results; Perform spatial domain Fourier transform on multiple frequency domain Fourier transform results respectively to obtain frequency-wave number domain transform results, and use the frequency-wave number domain transform results as the second data block.
10. The control method of the road construction monitoring system based on distributed optical fiber sensors according to claim 8, characterized in that: After the optical fiber sensor signal is identified according to the envelope result and the identification result is obtained, the following steps are also included: According to the recognition result, determine whether an alarm is needed; When the envelope result includes the construction signal peak, it is determined that an alarm is required; If it is determined that an alarm is necessary, an alarm signal is generated; Sound an alarm based on the early warning signal.