Underground space safety monitoring method, device, electronic equipment and storage medium

Abstract

The present invention provides a method, device, electronic device and storage medium for underground space safety monitoring. The method comprises: obtaining an optical fiber signal of an underground space to be detected and geological data and environmental data of the underground space to be detected; obtaining a predicted value of the influence degree of pipeline corridor deformation based on the geological data; obtaining a vibration signal to be detected based on the predicted value of the influence degree of pipeline corridor deformation, the environmental data and the optical fiber signal; and obtaining a safety monitoring result of the underground space to be detected based on the vibration signal to be detected. The present invention can correct the optical fiber signal based on environmental data on the basis of prediction through geological data, so that the obtained vibration signal to be detected contains vibration signals that cannot be detected by conventional DFOS technology when there is a small leak, and can realize the detection of small leaks on the basis of preventive maintenance.

Description

Technical Field

[0001] The present invention relates to the field of intelligent detection technology, and in particular to an underground space safety monitoring method, device, electronic equipment and storage medium. Background Art

[0002] With the rapid development of urbanization, underground utility corridors, as a vital component of urban infrastructure, are responsible for laying a variety of pipelines, including those for electricity, communications, gas, and water supply. The safe operation of underground utility corridors is directly related to the stable development of cities and the daily lives of residents. Therefore, effective safety inspections of underground utility corridors are crucial. To ensure their safety and proper operation, they require thorough inspections and maintenance.

[0003] Traditional underground pipeline corridor safety inspection methods mainly include manual inspections and radar detection. These methods have the following limitations: low efficiency, insufficient accuracy, and poor real-time performance. In order to overcome the limitations of these traditional methods, distributed fiber optic sensing technology (Dexter Factory Outlet Store, DFOS) came into being. DFOS technology uses optical fibers as sensors to achieve real-time monitoring of pipelines by sensing changes in temperature, strain, or vibration. However, DFOS technology can only detect safety accidents that have already occurred in the pipeline, and cannot predict impending safety accidents. In addition, DFOS technology cannot accurately detect pipeline leaks when the aperture is less than 2mm or the degree of deformation is very small. This means that DFOS technology has certain limitations in preventive maintenance and the detection of minor leaks. Summary of the Invention

[0004] The embodiments of the present invention provide an underground space safety monitoring method, device, electronic device and storage medium to solve the problem that the current DFOS technology has certain limitations in preventive maintenance and detection of minor leaks.

[0005] In a first aspect, an embodiment of the present invention provides a method for monitoring underground space safety, comprising:

[0006] Obtaining optical fiber signals of the underground space to be detected and geological data and environmental data of the underground space to be detected;

[0007] Based on geological data, the predicted value of the impact degree of pipeline corridor deformation is obtained;

[0008] The vibration signal to be detected is obtained based on the predicted value of the impact degree of the pipeline corridor deformation, environmental data and optical fiber signals;

[0009] According to the vibration signal to be detected, the safety monitoring result of the underground space to be detected is obtained.

[0010] In one possible implementation, a vibration signal to be detected is obtained based on the predicted value of the tunnel deformation impact, environmental data, and optical fiber signals, including:

[0011] Extract the optical fiber signal to obtain the initial vibration signal;

[0012] According to the predicted value of the impact degree of pipeline corridor deformation and environmental data, a simulated vibration signal is obtained;

[0013] A vibration signal to be detected is obtained according to the initial vibration signal, the simulated vibration signal and the environmental data.

[0014] In one possible implementation, a simulated vibration signal is obtained based on the predicted value of the tunnel deformation impact and environmental data, including:

[0015] Determine the initial change of pipelines in the corridor based on the predicted value of the corridor deformation impact;

[0016] According to the initial change of pipelines in the corridor and environmental data, the predicted shape of pipelines in the corridor is obtained;

[0017] The predicted shape of the pipelines in the pipe gallery is simulated to obtain simulated vibration signals.

[0018] In one possible implementation, the environmental data includes weather forecast data and environmental change within a preset time period;

[0019] The environmental variation includes temperature variation and humidity variation;

[0020] Based on the initial changes in the pipelines in the corridor and the environmental data, the predicted shape of the pipelines in the corridor is obtained, including:

[0021] According to the weather forecast data within the preset time, determine whether any of the environmental changes is a standard change;

[0022] If any of the environmental variation quantities is a standard variation quantity, the predicted shape of the pipeline in the corridor is obtained according to the initial variation quantity of the pipeline in the corridor;

[0023] If any of the environmental variations is not a standard variation, the predicted shape of the pipeline in the corridor is obtained according to the initial variation of the pipeline in the corridor and the environmental variation that is not a standard variation.

[0024] In one possible implementation, if any of the environmental variations is not a standard variation, a predicted shape of the pipeline in the corridor is obtained based on the initial variation of the pipeline in the corridor and the environmental variation that is not a standard variation, including:

[0025] According to the environmental variation that is not the standard variation, the type of target pipeline with leakage and the leakage aperture are determined;

[0026] According to the initial change of the pipelines in the corridor, the type of target pipelines with leakage, and the leakage aperture, the pipelines in the corridor are adjusted to obtain the predicted shape of the pipelines in the corridor.

[0027] In a possible implementation, the environmental data also includes current temperature and current humidity;

[0028] According to the initial vibration signal, the simulated vibration signal and the environmental data, the vibration signal to be detected is obtained, including:

[0029] Correcting the analog vibration signal according to the current temperature and the current humidity to obtain a corrected analog vibration signal;

[0030] Extracting the initial vibration signal and the modified simulated vibration signal respectively to obtain the amplitude, frequency and change speed corresponding to the initial vibration signal and the modified simulated vibration signal;

[0031] Based on the amplitude, frequency and change speed corresponding to the corrected simulated vibration signal, the amplitude, frequency and change speed corresponding to the initial vibration signal are adjusted to obtain the vibration signal to be detected.

[0032] In one possible implementation, obtaining a safety monitoring result of the underground space to be detected based on the vibration signal to be detected includes:

[0033] Input the vibration signal to be detected into the detection model to obtain the main frequency amplitude distribution and time domain characteristics of the signal to be detected;

[0034] According to the main frequency amplitude distribution and time domain characteristics, the safety monitoring results of the underground space to be detected are obtained.

[0035] In a second aspect, an embodiment of the present invention provides an underground space safety monitoring device, comprising:

[0036] An acquisition module is used to acquire the optical fiber signal of the underground space to be detected and the geological data and environmental data of the underground space to be detected;

[0037] The prediction module is used to obtain the predicted value of the impact degree of pipeline corridor deformation based on geological data;

[0038] The simulation module is used to obtain the vibration signal to be detected based on the predicted value of the impact degree of pipeline corridor deformation, environmental data and optical fiber signals;

[0039] The detection module is used to obtain the safety monitoring results of the underground space to be detected based on the vibration signal to be detected.

[0040] In a third aspect, an embodiment of the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method described in the first aspect or any possible implementation of the first aspect are implemented.

[0041] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the method described in the first aspect or any possible implementation of the first aspect.

[0042] The embodiments of the present invention provide a method, device, electronic device, and storage medium for underground space safety monitoring. Considering that although the deformation degree of the pipeline corridor and each pipeline in the pipeline corridor can be predicted based on the geological data of the underground space to be detected, this method is only for large-scale deformation, and there is an issue of inaccurate detection of local subtle deformations of the pipeline corridor and each pipeline in the pipeline corridor. To address this issue, the embodiments of the present invention comprehensively consider the optical fiber signal of the underground space to be detected and the geological data and environmental data of the underground space to be detected. First, based on the geological data, a predicted value of the impact degree of pipeline corridor deformation is obtained to make an initial prediction and judgment of the deformation degree of the pipeline corridor and each pipeline in the pipeline corridor. Then, combined with the environmental data, the optical fiber signal is calibrated to address the limitations of the optical fiber sensor in detecting small leaks and obtain a more accurate vibration signal to be detected. Finally, by analyzing the vibration signal to be detected, the safety monitoring result of the underground space to be detected is obtained. It can be seen that the embodiment of the present invention corrects the optical fiber signal based on environmental data on the basis of predictions made through geological data, so that the obtained vibration signal to be detected includes vibration signals that cannot be detected when a small leak is detected by conventional DFOS technology, and can detect small leaks on the basis of preventive maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. 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 any creative labor.

[0044] Figure 1 This is a flowchart of an implementation method for underground space safety monitoring provided by an embodiment of the present invention;

[0045] Figure 2 Schematic diagram of the structure of the underground space safety monitoring method and device provided by an embodiment of the present invention;

[0046] Figure 3 is a schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In the following description, specific details such as particular system structures and techniques are provided for purposes of illustration, not limitation, to facilitate a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0048] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below with reference to the accompanying drawings.

[0049] Figure 1 This is a flowchart of the implementation of the underground space safety monitoring method provided by the embodiment of the present invention. Figure 1 As shown, the method may include:

[0050] Step 110: Obtain the optical fiber signal of the underground space to be detected and the geological data and environmental data of the underground space to be detected.

[0051] In this embodiment, the optical fiber signal can reflect the vibration signal of each pipeline in the underground space when it is deformed or leaks.

[0052] Geological data can include stratigraphic data, underground pipelines, underground structure data, hydrogeological data, geoenvironmental monitoring data, and engineering geological data. Stratigraphic data includes stratigraphic units, geological boundary types, faults, folds, and rock mass relationships. Underground pipeline data includes the distribution, type, and material of underground pipelines. Underground structure data includes information on the location, structure, and purpose of underground structures. Hydrogeological data includes information on groundwater levels, groundwater flow rates, and groundwater quality. Geological environmental monitoring data includes geological survey and geoenvironmental monitoring data, such as seismic activity and ground subsidence, which are crucial for predicting and preventing geological disasters. Engineering geological data includes data from engineering geological drilling, experimental testing, multi-parameter logging, while-drilling monitoring, and ground geophysical exploration.

[0053] Environmental data may include weather forecast data within a preset time period, environmental change data, and current temperature, humidity, water level, etc. Environmental change includes temperature change and humidity change, etc.

[0054] Step 120: Based on the geological data, a predicted value of the impact degree of pipeline corridor deformation is obtained.

[0055] In this embodiment, the predicted value of the tunnel deformation impact is used to characterize the future stress conditions per unit area of ​​the tunnel. Based on geological data, future geological changes are predicted, and based on the predicted geological conditions, the future stress conditions per unit area of ​​the tunnel are analyzed to obtain the predicted value of the tunnel deformation impact.

[0056] Step 130: Obtain a vibration signal to be detected based on the predicted value of the impact degree of the pipeline corridor deformation, environmental data, and optical fiber signals.

[0057] In an optional embodiment, obtaining the vibration signal to be detected based on the predicted value of the tunnel deformation impact, environmental data, and optical fiber signal in step 130 may include:

[0058] Step 131: Extract the optical fiber signal to obtain an initial vibration signal.

[0059] Step 132: Obtain a simulated vibration signal based on the predicted value of the impact degree of the pipeline corridor deformation and environmental data.

[0060] Step 133: Obtain a vibration signal to be detected according to the initial vibration signal, the simulated vibration signal and the environmental data.

[0061] In this embodiment, the optical fiber signal is preprocessed to enhance its quality, and then the main signal in the preprocessed optical fiber signal is separated and extracted to obtain an initial vibration signal that can reflect the status of the pipeline in the pipeline corridor.

[0062] Taking into account that environmental factors such as climate change and ground load have a significant impact on the deformation of the corridor, the uncertainty of these factors increases the difficulty of prediction. Therefore, based on the simulation analysis of the corridor and the pipelines inside the corridor according to the predicted value of the impact degree of the corridor deformation, the environmental data is used as a reference correction item in the simulation analysis process to obtain the simulated vibration signal.

[0063] Taking into account that environmental data will affect the optical fiber signal detected by the optical fiber sensor, the embodiment of the present invention determines the influence deviation of the optical fiber sensor in the current environment based on the environmental data during the process of determining the vibration signal to be detected, so as to correct the initial vibration signal based on the obtained simulated vibration signal and use the environmental data as correction data to obtain the vibration signal to be detected.

[0064] In an optional embodiment, obtaining a simulated vibration signal based on the predicted value of the tunnel deformation impact and environmental data in step 132 may include:

[0065] Step 132.1: Determine the initial change of the pipelines in the corridor based on the predicted value of the corridor deformation impact.

[0066] Step 132.2: Based on the initial changes in the pipelines in the corridor and the environmental data, obtain the predicted shape of the pipelines in the corridor.

[0067] Step 132.3: Simulate the predicted shape of the pipelines in the pipe gallery to obtain simulated vibration signals.

[0068] In this embodiment, the relationship between the stress and deformation degree of each pipeline component per unit area is determined based on the material, age, and current stress conditions of the pipelines within the corridor. Based on the predicted corridor deformation impact and the relationship between the stress and deformation degree of each pipeline component, the initial change in the pipelines within the corridor corresponding to the predicted corridor deformation impact is determined.

[0069] Considering that the current initial change can only indicate whether the pipeline has been deformed, but cannot determine whether there is leakage in the pipeline, further judgment can be made based on the environmental data to obtain the predicted shape of the pipeline in the corridor.

[0070] Theoretically, when the leakage aperture is below 2 mm, the fiber optic sensor cannot detect the corresponding vibration signal due to the limitation of measurement accuracy. In order to obtain a simulated vibration signal, when simulating the predicted shape of the pipeline in the corridor, the parameters can be adjusted to proportionally amplify the vibration signal at this time to obtain a simulated fiber optic signal. The simulated fiber optic signal is extracted to obtain a simulated vibration signal.

[0071] In an optional embodiment, obtaining the predicted shape of the pipelines in the pipeline gallery based on the initial change amount and environmental data of the pipelines in the pipeline gallery in step 132.2 may include:

[0072] Based on the weather forecast data within the preset time, determine whether any of the environmental changes is a standard change.

[0073] If any of the environmental variation quantities is a standard variation quantity, the predicted shape of the pipeline in the pipeline gallery is obtained according to the initial variation quantity of the pipeline in the pipeline gallery.

[0074] If any of the environmental variations is not a standard variation, the predicted shape of the pipeline in the corridor is obtained according to the initial variation of the pipeline in the corridor and the environmental variation that is not a standard variation.

[0075] In this embodiment, the environmental data includes weather forecast data and environmental change within a preset time period. The weather forecast data can determine the actual change within the preset time period. Based on the actual change, it can be determined whether the calculated environmental change is due to environmental changes, that is, whether it is a standard change.

[0076] If any of the environmental changes is consistent with the actual change, it can be considered that there is no leakage in the pipeline in the corridor. Therefore, the predicted shape of the pipeline in the corridor can be directly obtained based on the initial change of the pipeline in the corridor.

[0077] If any of the environmental changes is inconsistent with the actual change, it can be considered that the environmental change is not a standard change and is caused by pipeline leakage. Therefore, it is necessary to adjust the pipeline according to the initial change of the pipeline in the corridor and the environmental change that is not a standard change to obtain the predicted shape of the pipeline in the corridor.

[0078] In an optional embodiment, if any of the environmental variations is not a standard variation, obtaining a predicted form of the pipeline in the corridor based on the initial variation of the pipeline in the corridor and the environmental variation that is not a standard variation may include:

[0079] Based on the environmental variation that is not the standard variation, the type of target pipeline with leakage and the leakage aperture are determined.

[0080] According to the initial change of the pipelines in the corridor, the type of target pipelines with leakage, and the leakage aperture, the pipelines in the corridor are adjusted to obtain the predicted shape of the pipelines in the corridor.

[0081] In this embodiment, under normal circumstances, the gas pipeline and the water pipeline will not leak simultaneously at the same detection point. Therefore, if the temperature change is not the standard change and the temperature change indicates an increase, it indicates a gas pipeline leak. The leak aperture is determined based on the preset time period and the temperature change. Then, based on the initial change in the pipeline within the corridor, the target pipeline type with a leak, and the leak aperture, the pipeline within the corridor is adjusted to obtain a predicted shape of the pipeline within the corridor.

[0082] If both the temperature and humidity changes are not within the standard range, and the temperature change indicates a decrease in temperature and the humidity change indicates an increase in humidity, then a leak in the water pipeline is indicated. The leak diameter is determined based on the preset time period and humidity change. Then, based on the initial change in the pipelines within the corridor, the type of leaking pipeline, and the leak diameter, adjustments are made to the corridor's pipelines to obtain a predicted shape.

[0083] In an optional embodiment, in step 133, obtaining the vibration signal to be detected based on the initial vibration signal, the simulated vibration signal, and the environmental data may include:

[0084] The analog vibration signal is corrected according to the current temperature and the current humidity to obtain a corrected analog vibration signal.

[0085] The initial vibration signal and the modified simulated vibration signal are extracted respectively to obtain the amplitude, frequency and change speed corresponding to the initial vibration signal and the modified simulated vibration signal.

[0086] Based on the amplitude, frequency and change speed corresponding to the corrected simulated vibration signal, the amplitude, frequency and change speed corresponding to the initial vibration signal are adjusted to obtain the vibration signal to be detected.

[0087] In this embodiment, since temperature and humidity will affect the optical fiber signal collected by the optical fiber sensor and thus affect the vibration signal reflected by it, in this embodiment, the optical fiber simulation correction coefficient is determined by the current temperature and the current humidity, and the simulated vibration signal is corrected by the optical fiber simulation correction coefficient to obtain a corrected simulated vibration signal, so that the simulated vibration signal is closer to the optical fiber signal actually collected by the optical fiber sensor.

[0088] In this embodiment, in order to reduce the amount of post-calculation, a unified optical fiber simulation correction coefficient can be determined based on the current temperature and the current humidity. The optical fiber simulation correction coefficient can be expressed as:

[0089]

[0090] Where α1 and α2 represent the temperature and humidity fitting coefficients; t' represents the current temperature, t represents the standard temperature; s' represents the current humidity; s represents the standard humidity; and Δd represents the influence error of the photovoltaic signal under the current temperature and humidity.

[0091] Then, the amplitude, frequency and change speed corresponding to the initial vibration signal and the modified simulated vibration signal are extracted respectively.

[0092] Compare the amplitude, frequency, and rate of change of the initial vibration signal and the corrected simulated vibration signal to obtain the amplitude correction factor, frequency correction factor, and rate of change correction factor. Based on these factors, adjust the amplitude, frequency, and rate of change of the initial vibration signal to obtain the vibration signal to be detected.

[0093] Alternatively, in an embodiment of the present invention, the initial vibration signal may be corrected based on the current temperature and humidity to eliminate the effects of the current temperature and humidity on the optical fiber sensor, thereby obtaining a corrected initial vibration signal. The correction process may be referred to in the relevant embodiments of this embodiment.

[0094] The corrected initial vibration signal and the simulated vibration signal are extracted respectively to obtain the amplitude, frequency and change speed corresponding to the corrected initial vibration signal and the simulated vibration signal.

[0095] Based on the amplitude, frequency and change speed corresponding to the simulated vibration signal, the amplitude, frequency and change speed corresponding to the corrected initial vibration signal are adjusted to obtain the vibration signal to be detected.

[0096] Step 140: Obtain a safety monitoring result of the underground space to be detected based on the vibration signal to be detected.

[0097] In an optional embodiment, obtaining the safety monitoring result of the underground space to be detected based on the vibration signal to be detected in step 140 may include:

[0098] The vibration signal to be detected is input into the detection model to obtain the main frequency amplitude distribution and time domain characteristics of the signal to be detected.

[0099] According to the main frequency amplitude distribution and time domain characteristics, the safety monitoring results of the underground space to be detected are obtained.

[0100] In this embodiment, although the relevant steps in step 130 can preliminarily determine whether the pipeline is deformed or leaking through environmental data, the result in step 130 is obtained based on simulation prediction and cannot be completely guaranteed to be accurate. In order to further verify the accuracy, the final vibration signal to be detected needs to be further analyzed.

[0101] In this embodiment, the main frequency amplitude distribution and time domain characteristics of the signal to be detected can reflect different states of the pipeline.

[0102] If the pipeline's vibration signal energy is stably distributed in a linear manner in the low-frequency area, large energy in a single line appears periodically, and the energy is mainly concentrated within a specific frequency band; and the time domain duration of the signal is a constant value, or the degree of change is less than the preset degree of change, then it means that the pipelines in the underground space to be detected are in normal condition.

[0103] If the pipeline vibration signal's energy is significantly higher than normal (i.e., the increase is greater than a preset energy increase), the energy is primarily distributed in the low- and high-frequency bands, the frequency band is wider than normal, and the primary energy in the low-frequency portion is distributed linearly on the time axis. Furthermore, if the low-frequency band persists for longer than a first preset time in the time domain, while the high-frequency band persists for less than a second preset time, this indicates pipeline deformation in the underground space being inspected. The first preset time is greater than the second preset time, and the first preset time can be 41ms and the second preset time can be 25ms.

[0104] If the spectrum of the pipeline vibration signal is mainly concentrated near high frequencies, such as around 64kHz, and the high-frequency part decays faster, it indicates that there is a pipeline leak in the underground space to be detected.

[0105] In summary, the embodiments of the present invention take into account that although the deformation degree of the pipeline corridor and each pipeline in the pipeline corridor can be predicted based on the geological data of the underground space to be detected, this method is only for large-scale deformation, and there is a problem of inaccurate detection of local subtle deformation of the pipeline corridor and each pipeline in the pipeline corridor. To address this problem, the embodiments of the present invention comprehensively consider the optical fiber signal of the underground space to be detected and the geological data and environmental data of the underground space to be detected. First, based on the geological data, a predicted value of the impact degree of pipeline corridor deformation is obtained to make an initial prediction and judgment of the deformation degree of the pipeline corridor and each pipeline in the pipeline corridor. Then, combined with the environmental data, the optical fiber signal is calibrated to address the limitations of the optical fiber sensor in detecting small leaks and obtain a more accurate vibration signal to be detected. Finally, by analyzing the vibration signal to be detected, the safety monitoring results of the underground space to be detected are obtained. It can be seen that the embodiments of the present invention, based on the prediction based on geological data, correct the optical fiber signal based on environmental data, so that the vibration signal to be detected includes vibration signals that cannot be detected by conventional DFOS technology when detecting small leaks, and can detect small leaks based on preventive maintenance.

[0106] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0107] The following are device embodiments of the present invention. For details not fully described therein, reference may be made to the corresponding method embodiments described above.

[0108] Figure 2 The following is a schematic diagram showing the structure of an underground space safety monitoring device provided by an embodiment of the present invention. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are described in detail as follows:

[0109] like Figure 2 As shown, the underground space safety monitoring device 2 includes:

[0110] An acquisition module 21 is used to acquire the optical fiber signal of the underground space to be detected and the geological data and environmental data of the underground space to be detected;

[0111] The prediction module 22 is used to obtain a predicted value of the impact degree of pipeline corridor deformation based on geological data;

[0112] The simulation module 23 is used to obtain the vibration signal to be detected based on the predicted value of the impact degree of the pipeline corridor deformation, environmental data and optical fiber signals;

[0113] The detection module 24 is used to obtain a safety monitoring result of the underground space to be detected based on the vibration signal to be detected.

[0114] In a possible implementation, the simulation module 23 is specifically configured to:

[0115] Extract the optical fiber signal to obtain the initial vibration signal;

[0116] According to the predicted value of the impact degree of pipeline corridor deformation and environmental data, a simulated vibration signal is obtained;

[0117] A vibration signal to be detected is obtained according to the initial vibration signal, the simulated vibration signal and the environmental data.

[0118] In a possible implementation, the simulation module 23 is specifically configured to:

[0119] Determine the initial change of pipelines in the corridor based on the predicted value of the corridor deformation impact;

[0120] According to the initial change of pipelines in the corridor and environmental data, the predicted shape of pipelines in the corridor is obtained;

[0121] The predicted shape of the pipelines in the pipe gallery is simulated to obtain simulated vibration signals.

[0122] In one possible implementation, the environmental data includes weather forecast data and environmental change within a preset time period;

[0123] The environmental variation includes temperature variation and humidity variation;

[0124] The simulation module 23 is specifically used for:

[0125] According to the weather forecast data within the preset time, determine whether any of the environmental changes is a standard change;

[0126] If any of the environmental variation quantities is a standard variation quantity, the predicted shape of the pipeline in the corridor is obtained according to the initial variation quantity of the pipeline in the corridor;

[0127] If any of the environmental variations is not a standard variation, the predicted shape of the pipeline in the corridor is obtained according to the initial variation of the pipeline in the corridor and the environmental variation that is not a standard variation.

[0128] In a possible implementation, if any of the environmental variation amounts is not a standard variation amount, the simulation module 23 is specifically configured to:

[0129] According to the environmental variation that is not the standard variation, the type of target pipeline with leakage and the leakage aperture are determined;

[0130] According to the initial change of the pipelines in the corridor, the type of target pipelines with leakage, and the leakage aperture, the pipelines in the corridor are adjusted to obtain the predicted shape of the pipelines in the corridor.

[0131] In a possible implementation, the environmental data also includes current temperature and current humidity;

[0132] The simulation module 23 is specifically used for:

[0133] Correcting the analog vibration signal according to the current temperature and the current humidity to obtain a corrected analog vibration signal;

[0134] Extracting the initial vibration signal and the modified simulated vibration signal respectively to obtain the amplitude, frequency and change speed corresponding to the initial vibration signal and the modified simulated vibration signal;

[0135] Based on the amplitude, frequency and change speed corresponding to the corrected simulated vibration signal, the amplitude, frequency and change speed corresponding to the initial vibration signal are adjusted to obtain the vibration signal to be detected.

[0136] In a possible implementation, the detection module 24 is specifically configured to:

[0137] Input the vibration signal to be detected into the detection model to obtain the main frequency amplitude distribution and time domain characteristics of the signal to be detected;

[0138] According to the main frequency amplitude distribution and time domain characteristics, the safety monitoring results of the underground space to be detected are obtained.

[0139] Figure 3 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, the electronic device 3 of this embodiment includes: a processor 30, a memory 31, and a computer program 32 stored in the memory 31 and executable on the processor 30. When the processor 30 executes the computer program 32, the steps in each of the above-mentioned underground space safety monitoring method embodiments are implemented, such as Figure 1 Alternatively, when the processor 30 executes the computer program 32, the functions of the modules / units in the above-mentioned device embodiments are realized, for example, Figure 2 The functions of each module are shown.

[0140] Exemplarily, the computer program 32 may be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 30 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program 32 in the electronic device 3. For example, the computer program 32 may be divided into Figure 2 The modules shown.

[0141] The electronic device 3 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The electronic device 3 may include, but is not limited to, a processor 30 and a memory 31. Those skilled in the art will understand that Figure 3 It is only an example of electronic device 3 and does not constitute a limitation of electronic device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0142] The processor 30 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0143] The memory 31 may be an internal storage unit of the electronic device 3, such as a hard disk or memory of the electronic device 3. The memory 31 may also be an external storage device of the electronic device 3, 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 3. Furthermore, the memory 31 may include both an internal storage unit of the electronic device 3 and an external storage device. The memory 31 is used to store the computer program and other programs and data required by the electronic device. The memory 31 may also be used to temporarily store data that has been output or is about to be output.

[0144] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0145] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0146] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0147] In the embodiments provided by the present invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely schematic. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0148] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0149] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0150] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above-mentioned embodiments of the underground space safety monitoring method. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0151] The embodiments described above 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 aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A method for monitoring underground space safety, characterized in that: include: Acquiring optical fiber signals of an underground space to be detected and geological data and environmental data of the underground space to be detected; According to the geological data, a predicted value of the impact degree of pipeline corridor deformation is obtained; wherein the predicted value of the impact degree of pipeline corridor deformation is used to characterize the stress condition of the pipeline corridor per unit area in the future; Obtaining a vibration signal to be detected based on the predicted value of the influence degree of the pipe corridor deformation, the environmental data, and the optical fiber signal; Obtaining a safety monitoring result of the underground space to be detected based on the vibration signal to be detected; wherein the safety monitoring result is used to indicate whether deformation or leakage occurs in the pipeline in the underground space to be detected; The step of obtaining the vibration signal to be detected based on the predicted value of the pipe gallery deformation impact, the environmental data, and the optical fiber signal includes: extracting the optical fiber signal to obtain an initial vibration signal; Obtaining a simulated vibration signal according to the predicted value of the impact degree of the pipe corridor deformation and the environmental data; A vibration signal to be detected is obtained according to the initial vibration signal, the simulated vibration signal and the environmental data.

2. The underground space safety monitoring method according to claim 1, characterized in that: The step of obtaining a simulated vibration signal according to the predicted value of the pipe gallery deformation impact and the environmental data includes: Determining the initial change amount of the pipelines in the corridor according to the predicted value of the influence degree of the corridor deformation; Obtaining a predicted shape of the pipeline in the pipeline gallery according to the initial change amount of the pipeline in the pipeline gallery and the environmental data; The predicted shape of the pipelines in the pipe gallery is simulated to obtain a simulated vibration signal.

3. The underground space safety monitoring method according to claim 2, characterized in that: The environmental data includes weather forecast data and environmental change data within a preset time; Wherein, the environmental change includes temperature change and humidity change; Obtaining a predicted shape of the pipeline in the pipeline gallery based on the initial change amount of the pipeline in the pipeline gallery and the environmental data includes: Determining whether any one of the environmental changes is a standard change based on the weather forecast data within the preset time; If any of the environmental variation amounts is a standard variation amount, a predicted shape of the pipeline in the pipeline gallery is obtained according to the initial variation amount of the pipeline in the pipeline gallery; If any of the environmental variations is not a standard variation, a predicted form of the pipeline in the pipeline gallery is obtained according to the initial variation of the pipeline in the pipeline gallery and the environmental variation that is not a standard variation.

4. The underground space safety monitoring method according to claim 3, characterized in that: If any of the environmental changes is not a standard change, obtaining a predicted form of the pipeline in the pipeline gallery according to the initial change of the pipeline in the pipeline gallery and the environmental change that is not a standard change, including: According to the environmental variation that is not the standard variation, the type of target pipeline with leakage and the leakage aperture are determined; According to the initial change amount of the pipeline in the pipeline gallery, the type of the target pipeline with leakage, and the leakage aperture, the pipeline in the pipeline gallery is adjusted to obtain the predicted shape of the pipeline in the pipeline gallery.

5. The underground space safety monitoring method according to claim 1, characterized in that: The environmental data also includes current temperature and current humidity; Obtaining the vibration signal to be detected according to the initial vibration signal, the simulated vibration signal, and the environmental data includes: Correcting the simulated vibration signal according to the current temperature and the current humidity to obtain a corrected simulated vibration signal; Extracting the initial vibration signal and the modified simulated vibration signal respectively to obtain the amplitude, frequency and change speed corresponding to the initial vibration signal and the modified simulated vibration signal; Based on the amplitude, frequency and change speed corresponding to the corrected simulated vibration signal, the amplitude, frequency and change speed corresponding to the initial vibration signal are adjusted to obtain a vibration signal to be detected.

6. The underground space safety monitoring method according to claim 1, characterized in that: Obtaining a safety monitoring result of the underground space to be detected based on the vibration signal to be detected includes: Inputting the vibration signal to be detected into a detection model to obtain the main frequency amplitude distribution and time domain characteristics of the signal to be detected; The safety monitoring result of the underground space to be detected is obtained according to the main frequency amplitude distribution and the time domain characteristics.

7. An underground space safety monitoring device, characterized in that: include: An acquisition module, configured to acquire optical fiber signals of an underground space to be detected and geological data and environmental data of the underground space to be detected; A prediction module is used to obtain a predicted value of the impact degree of pipeline corridor deformation based on the geological data; wherein the predicted value of the impact degree of pipeline corridor deformation is used to characterize the stress condition of the pipeline corridor per unit area in the future; A simulation module, configured to obtain a vibration signal to be detected based on the predicted value of the tunnel deformation impact, the environmental data, and the optical fiber signal; A detection module, configured to obtain a safety monitoring result of the underground space to be detected based on the vibration signal to be detected; wherein the safety monitoring result is used to indicate whether the pipeline in the underground space to be detected is deformed or leaking; Wherein, the simulation module is specifically used for: extracting the optical fiber signal to obtain an initial vibration signal; Obtaining a simulated vibration signal according to the predicted value of the impact degree of the pipe corridor deformation and the environmental data; A vibration signal to be detected is obtained according to the initial vibration signal, the simulated vibration signal and the environmental data.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the underground space safety monitoring method as described in any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the underground space safety monitoring method as described in any one of claims 1 to 6 above are implemented.

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