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

Abstract

The invention provides an underground space safety monitoring method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an optical fiber signal of a to-be-detected underground space and geological data and environmental data of the to-be-detected underground space; according to the geological data, a pipe gallery deformation influence degree prediction value is obtained; obtaining a to-be-detected vibration signal according to the pipe gallery deformation influence degree predicted value, the environmental data and the optical fiber signal; and obtaining a safety monitoring result of the underground space to be detected according to the vibration signal to be detected. According to the method, the optical fiber signal can be corrected based on the environmental data on the basis of prediction through the geological data, so that the vibration signal to be detected contains the vibration signal which cannot be detected by the conventional DFOS technology during micro leakage, and the detection of the micro leakage can be realized 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 pipe corridors, as an important part of urban infrastructure, undertake the task of laying various pipelines such as electricity, communications, gas, and water supply. The safe operation of underground pipe corridors is directly related to the stable development of the city and the daily life of residents. Therefore, it is very important to conduct effective safety inspections on underground pipe corridors. In order to ensure the safety and normal use of underground pipe corridors, it is necessary to conduct reasonable inspections and maintenance on underground pipe corridors.

[0003] Traditional underground pipe gallery safety detection methods mainly include manual inspections, radar detection, etc. 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 fiber as a sensor 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 when the aperture of the pipeline leak is less than 2mm or the degree of deformation is small. This means that DFOS technology has certain limitations in preventive maintenance and detection of small 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 small leaks.

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

[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] According to the geological data, the predicted value of the impact degree of pipeline corridor deformation is obtained;

[0008] According to the predicted value of the influence degree of the pipe gallery deformation, environmental data and optical fiber signal, the vibration signal to be detected is obtained;

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

[0010] In a possible implementation, a vibration signal to be detected is obtained according to the predicted value of the influence degree of the pipe gallery deformation, environmental data and the optical fiber signal, including:

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

[0012] According to the predicted value of the impact degree of the pipe gallery deformation and the 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 a possible implementation, a simulated vibration signal is obtained according to the predicted value of the influence degree of the pipe gallery deformation and environmental data, including:

[0015] According to the predicted value of the impact of the corridor deformation, the initial change of the pipelines in the corridor is determined;

[0016] According to the initial change amount and environmental data of the pipelines in the corridor, the predicted shape of the 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 a possible implementation, the environmental data includes weather forecast data and environmental change amount within a preset time;

[0019] The environmental changes include temperature changes and humidity changes;

[0020] According to the initial change of pipelines in the corridor and environmental data, the predicted shape of pipelines in the corridor is obtained, including:

[0021] According to the weather forecast data within the preset time, determine whether any item of the environmental change 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 changes is not a standard change, the predicted form of the pipeline in the corridor is obtained according to the initial change of the pipeline in the corridor and the environmental change that is not a standard change.

[0024] In a possible implementation, if any of the environmental changes is not a standard change, the predicted form of the pipeline in the corridor is obtained according to the initial change of the pipeline in the corridor and the environmental change that is not a standard change, 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] According to the current temperature and the current humidity, the analog vibration signal is corrected to obtain a corrected analog vibration signal;

[0030] 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;

[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 a possible implementation, obtaining a safety monitoring result of the underground space to be detected according to the vibration signal to be detected includes:

[0033] 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;

[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, including:

[0036] An acquisition module, 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 the pipe corridor deformation, environmental data and optical fiber signal;

[0039] The detection module is used to obtain the safety monitoring result of the underground space to be detected according to 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 processor implements the steps of the method described in the first aspect or any possible implementation manner of the first aspect.

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

[0042] The embodiment of the present invention provides a method, device, electronic device and storage medium for underground space safety monitoring. Considering that at present, although the deformation degree of the pipeline corridor and each pipeline in the pipeline corridor can be predicted through the geological data of the underground space to be detected, this method is for large-scale deformation, and there is an inaccurate detection problem for the local subtle deformation of the pipeline corridor and each pipeline in the pipeline corridor. To solve this problem, in the embodiment of the present invention, 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 are comprehensively considered. First, according to the geological data, the predicted value of the influence degree of the pipeline corridor deformation is obtained to make an initial prediction and judgment on 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 solve the limitations of the optical fiber sensor in the detection of 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 the environmental data on the basis of the prediction through geological data, so that the vibration signal to be detected includes the vibration signal that cannot be detected by the conventional DFOS technology when there is a small leak, and the small leak can be detected 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 drawings required for use in the embodiments or related technical descriptions are 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 labor.

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

[0045] Figure 2 It is a structural schematic diagram of an 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 specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

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

[0049] Figure 1 FIG. 1 is a flowchart of an implementation method of an underground space safety monitoring method provided by an 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 pipe gallery in the underground space when it is deformed or leaked.

[0052] Geological data may include stratigraphic geological data, underground pipelines, underground construction data, hydrogeological data, geological environment monitoring data and engineering geological data; among them, stratigraphic geological 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 construction data includes the location, structure, use and other attribute information of underground buildings. Hydrogeological data includes information such as groundwater level, groundwater flow rate and groundwater quality. Geological environment monitoring data includes geological survey and geological environment monitoring data, such as earthquake activity and ground subsidence, which are crucial for predicting and preventing geological disasters. Engineering geological data includes data such as engineering geological drilling, experimental testing, multi-parameter logging, monitoring while drilling and ground geophysical exploration.

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

[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 influence degree of pipeline corridor deformation is used to characterize the stress condition of the pipeline corridor per unit area in the future. According to the geological data, the change of the geological conditions is predicted, and according to the predicted geological conditions, the stress condition of the pipeline corridor per unit area in the future is analyzed to obtain the predicted value of the influence degree of pipeline corridor deformation.

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

[0057] In an optional embodiment, obtaining the vibration signal to be detected according to the predicted value of the influence degree of the pipe gallery deformation, the environmental data and the 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: A simulated vibration signal is obtained according to the predicted value of the influence degree of the pipe gallery deformation and the 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 the quality of the optical fiber signal, 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 gallery.

[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 in the corridor according to the predicted value of the impact 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 according to the predicted value of the influence degree of pipe gallery deformation 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 influence of corridor deformation.

[0066] Step 132.2: Based on the initial change amount and environmental data of the pipelines in the pipeline corridor, the predicted shape of the pipelines in the pipeline corridor is obtained.

[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 part of the pipeline within a unit area is determined according to the material, service life, current stress condition, etc. of the pipeline in the pipe gallery. According to the predicted value of the deformation influence degree of the pipe gallery and the relationship between the stress and deformation degree of each part of the pipeline, the initial change amount of the pipeline in the pipe gallery corresponding to the predicted value of the deformation influence degree of the pipe gallery is determined.

[0069] Considering that the current initial change can only indicate whether the pipeline is 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 pipeline in the pipeline gallery according to the initial change amount and environmental data of the pipeline in the pipeline gallery in step 132.2 may include:

[0072] According to the weather forecast data within the preset time, determine whether any item of the environmental change 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 changes is not a standard change, the predicted form of the pipeline in the corridor is obtained according to the initial change of the pipeline in the corridor and the environmental change that is not a standard change.

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

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

[0077] If any item in the environmental change 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 changes is not a standard change, obtaining the 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 may include:

[0079] According to 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, for the same detection point, the gas pipeline and the water pipeline will not leak at the same time. Therefore, if the temperature change is not the standard change, and the temperature change indicates a temperature increase, it means that the gas pipeline is leaking. According to the preset time period and the temperature change, the leakage aperture is determined. Then, according to the initial change of the pipeline in the corridor, the type of target pipeline with leakage, and the leakage aperture, the pipeline in the corridor is adjusted to obtain the predicted shape of the pipeline in the corridor.

[0082] If the temperature change and humidity change are not standard changes, and the temperature change indicates a decrease in temperature and the humidity change indicates an increase in humidity, it indicates that the water pipeline is leaking. According to the preset time period and humidity change, the leakage aperture is determined, and then the pipeline in the corridor is adjusted according to the initial change of the pipeline in the corridor, the target pipeline type with leakage, and the leakage aperture to obtain the predicted shape of the pipeline in the corridor.

[0083] In an optional embodiment, in step 133, obtaining the vibration signal to be detected according to 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 further 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] Among them, 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; Δd represents the influence error of the photovoltaic signal under the current temperature and the current 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] The amplitude, frequency and change speed corresponding to the initial vibration signal and the corrected simulated vibration signal are compared to obtain the amplitude correction coefficient, frequency correction coefficient and change speed correction coefficient. According to the amplitude correction coefficient, frequency correction coefficient and change speed correction coefficient, the amplitude, frequency and change speed corresponding to the initial vibration signal are adjusted to obtain the vibration signal to be detected.

[0093] Alternatively, in the embodiment of the present invention, the initial vibration signal can also be corrected based on the current temperature and the current humidity to eliminate the influence of the current temperature and the current humidity on the optical fiber sensor, and obtain a corrected initial vibration signal. The correction process can refer to the relevant embodiments in 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 the safety monitoring result of the underground space to be detected according to the vibration signal to be detected.

[0097] In an optional embodiment, obtaining the safety monitoring result of the underground space to be detected according to 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 based on simulation prediction and cannot be fully guaranteed to be accurate. In order to further verify the accuracy, it is necessary to further analyze the final vibration signal to be detected.

[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 energy of the pipeline's vibration signal is stably distributed in a line-like manner in the low-frequency area, large energy of 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, 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 energy of the vibration signal of the pipeline is significantly increased compared to normal, that is, the increase is greater than the preset energy increase, the energy is mainly distributed in the low-frequency band and the high-frequency band, the frequency band is wider than normal, and the main energy is distributed in the low-frequency part in the form of lines on the time axis. And the duration of the low-frequency band in the time domain is greater than the first preset time, and the duration of the high-frequency band is less than the second preset time, it means that there is pipeline deformation in the underground space to be detected. Among them, the first preset time is greater than the second preset time, the first preset time can be 41ms, and the second preset time can be 25ms.

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

[0105] In summary, the embodiment of the present invention takes into account that although the deformation degree of the corridor and each pipeline in the corridor can be predicted through the geological data of the underground space to be detected at this stage, this method is for large-scale deformation, and there is an inaccurate detection problem for the local subtle deformation of the corridor and each pipeline in the corridor. To solve this problem, in the embodiment of the present invention, 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 are comprehensively considered. First, according to the geological data, the predicted value of the influence degree of the corridor deformation is obtained to make an initial prediction and judgment on the deformation degree of the corridor and each pipeline in the corridor, and then the optical fiber signal is calibrated in combination with the environmental data to solve the limitations of the optical fiber sensor in the detection of 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 the environmental data on the basis of prediction through geological data, so that the vibration signal to be detected contains the vibration signal that cannot be detected by the conventional DFOS technology when there is a small leak, and can detect small leaks on the basis of preventive maintenance.

[0106] It should be understood that the order of execution of the steps in the above embodiment does not necessarily 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 embodiment of the present invention.

[0107] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.

[0108] Figure 2 The following is a schematic diagram of 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 the 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 according to the predicted value of the influence degree of the pipe gallery deformation, the environmental data and the optical fiber signal;

[0113] The detection module 24 is used to obtain the safety monitoring result of the underground space to be detected according to 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 the pipe gallery deformation and the 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] According to the predicted value of the impact of the corridor deformation, the initial change of the pipelines in the corridor is determined;

[0120] According to the initial change amount and environmental data of the pipelines in the corridor, the predicted shape of the 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 a possible implementation, the environmental data includes weather forecast data and environmental change amount within a preset time;

[0123] The environmental changes include temperature changes and humidity changes;

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

[0125] According to the weather forecast data within the preset time, determine whether any item of the environmental change 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 changes is not a standard change, the predicted form of the pipeline in the corridor is obtained according to the initial change of the pipeline in the corridor and the environmental change that is not a standard change.

[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] According to the current temperature and the current humidity, the analog vibration signal is corrected to obtain a corrected analog vibration signal;

[0134] 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;

[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] 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;

[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 the above-mentioned underground space safety monitoring method embodiments are implemented, for example Figure 1 Alternatively, when the processor 30 executes the computer program 32, the functions of each module / unit 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 appreciate that Figure 3 It is only an example of the electronic device 3 and does not constitute a limitation of the 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. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[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. Further, the memory 31 may also include both an internal storage unit and an external storage device of the electronic device 3. 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 to be output.

[0144] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be 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 in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in 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, which will not be repeated here.

[0145] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions 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. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be 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 only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, 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 separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0149] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of 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, the steps of the above-mentioned embodiments of the underground space safety monitoring method can be implemented. 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, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium.

[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 the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for underground space safety monitoring, characterized in that: include: 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; According to the geological data, a predicted value of the impact degree of pipeline corridor deformation is obtained; Obtaining a vibration signal to be detected according to the predicted value of the influence degree of the pipe gallery deformation, the environmental data and the optical fiber signal; A safety monitoring result of the underground space to be detected is obtained according to the vibration signal to be detected.

2. The underground space safety monitoring method according to claim 1, characterized in that: The step of obtaining the vibration signal to be detected according to the predicted value of the influence degree of the pipe gallery deformation, 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 influence degree of the pipe gallery 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.

3. The underground space safety monitoring method according to claim 2, characterized in that: The step of obtaining a simulated vibration signal according to the predicted value of the influence degree of the pipe gallery deformation 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 pipeline in the pipe gallery is simulated to obtain a simulated vibration signal.

4. The underground space safety monitoring method according to claim 3, characterized in that: The environmental data includes weather forecast data and environmental change within a preset time; Wherein, the environmental change includes temperature change and humidity change; The step of obtaining a predicted shape of the pipeline in the pipe gallery according to the initial change amount of the pipeline in the pipe gallery and the environmental data includes: According to the weather forecast data within the preset time, determining whether any one of the environmental change amounts is a standard change amount; If any of the environmental changes is a standard change, the predicted shape of the pipeline in the pipeline gallery is obtained according to the initial change of the pipeline in the pipeline gallery; If any of the environmental changes is not a standard change, the predicted form of the pipeline in the pipeline gallery is obtained according to the initial change of the pipeline in the pipeline gallery and the environmental change that is not a standard change.

5. The underground space safety monitoring method according to claim 4, characterized in that: If any of the environmental changes is not a standard change, the predicted form of the pipeline in the pipeline gallery is obtained 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 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.

6. The underground space safety monitoring method according to claim 2, characterized in that: The environmental data also includes current temperature and current humidity; The step of obtaining the vibration signal to be detected according to the initial vibration signal, the simulated vibration signal and the environmental data comprises: According to the current temperature and the current humidity, the simulated vibration signal is corrected 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 modified 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.

7. The underground space safety monitoring method according to claim 1, characterized in that: The step of obtaining the safety monitoring result of the underground space to be detected according to the vibration signal to be detected includes: Inputting 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; According to the main frequency amplitude distribution and the time domain characteristics, the safety monitoring result of the underground space to be detected is obtained.

8. An underground space safety monitoring device, characterized in that: include: An acquisition module, 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; A prediction module, used to obtain a prediction value of the impact degree of pipeline corridor deformation based on the geological data; A simulation module, used for obtaining a vibration signal to be detected according to the predicted value of the influence degree of the pipe gallery deformation, the environmental data and the optical fiber signal; The detection module is used to obtain the safety monitoring result of the underground space to be detected according to the vibration signal to be detected.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: 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 7 are implemented.

10. 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 7 are implemented.

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