Active urban underground space collapse early warning method, device and system

Abstract

The disclosure provides a kind of active urban underground space collapse early warning method, device and system, the method is executed by active urban underground space collapse early warning system, system includes multiple underground space collapse early warning sensors, method includes: determining master sensor and slave sensor from multiple underground space collapse early warning sensors, control master sensor generates active vibration signal, obtains the real-time response value of each slave sensor to active vibration signal, according to the change information of real-time response value in preset time range, generates collapse early warning result.Through the implementation of the method of the present disclosure, active regional measurement can be achieved based on multiple underground space collapse early warning sensors, thereby effectively improving the timeliness and practicality of urban underground space collapse early warning.

Description

Technical Field

[0001] This disclosure relates to the field of geological disaster monitoring technology, specifically to an active method, device, and system for early warning of urban underground space collapse. Background Technology

[0002] Urban underground space refers to the space below or within the ground level of a city, including underground rail transit, underground refuge facilities, air-raid shelters, underground shopping malls, underground parking lots, and other architectural spaces. Urban underground space is large in scale and growing rapidly. Coupled with its age and problems such as neglect and mismanagement, the movement of surrounding soil and water creates numerous cracks and cavities. These, along with disturbances from surface vehicle traffic and construction, can lead to ground collapses when the road structure reaches its ultimate strength, seriously threatening people's lives and property.

[0003] In related technologies, sensors are typically embedded at fixed points in the strata above the underground space to be monitored to monitor the settlement or displacement of the strata above the underground space, and to provide early warning of underground space collapse corresponding to the sensor embedding point based on the monitoring information.

[0004] This method can only achieve single-point or multi-point measurement, and the measurement is subject to lag and passivity. Summary of the Invention

[0005] This disclosure aims to at least partially address one of the technical problems in the related art.

[0006] Therefore, the purpose of this disclosure is to propose an active urban underground space collapse early warning method, device, system, computer equipment and storage medium, which can realize active regional measurement based on multiple underground space collapse early warning sensors, thereby effectively improving the timeliness and practicality of urban underground space collapse early warning.

[0007] To achieve the above objectives, the active urban underground space collapse early warning method proposed in the first aspect of this disclosure is executed by an active urban underground space collapse early warning system, the system including multiple underground space collapse early warning sensors, the method including:

[0008] The master sensor and slave sensor are determined from the plurality of underground space collapse early warning sensors;

[0009] Control the main sensor to generate an active vibration signal;

[0010] Obtain the real-time response value of each of the sensors to the active vibration signal;

[0011] Based on the changes in the real-time response value within a preset time range, a collapse early warning result is generated.

[0012] To achieve the above objectives, the active urban underground space collapse early warning device proposed in the second aspect of this disclosure is executed by an active urban underground space collapse early warning system, the system including multiple underground space collapse early warning sensors, and the device including:

[0013] A determination module is used to determine the master sensor and slave sensor from the plurality of underground space collapse early warning sensors;

[0014] The control module is used to control the main sensor to generate active vibration signals;

[0015] An acquisition module is used to acquire the real-time response value of each of the slave sensors to the active vibration signal;

[0016] The generation module is used to generate a collapse early warning result based on the change information of the real-time response value within a preset time range.

[0017] To achieve the above objectives, the active urban underground space collapse early warning system proposed in the third aspect of this disclosure includes: multiple underground space collapse early warning sensors, each of which includes: a triaxial accelerometer for monitoring, a housing, a vibration generator, a triaxial accelerometer for control, a base, and a data storage and transmission unit; wherein,

[0018] The triaxial accelerometer used for monitoring is used to monitor the active vibration signal generated by the main sensor and the interference vibration signal in the external environment;

[0019] The housing is used to mount the triaxial accelerometer for monitoring, the base, and the data storage and transmission unit;

[0020] The vibration generator is used to generate the active vibration signal;

[0021] The triaxial accelerometer used for control is used to detect the vibration frequency and vibration amplitude of the vibration generator;

[0022] The base is used to mount the vibration generator and the triaxial accelerometer used for control.

[0023] The data storage and transmission unit is used to record and store the response data of the triaxial accelerometer used for monitoring, and to receive user measurement commands and control the vibration generator to generate the active vibration signal according to the user measurement commands.

[0024] The computer device proposed in the fourth aspect of this disclosure includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the active urban underground space collapse early warning method proposed in the first aspect of this disclosure.

[0025] The fifth aspect of this disclosure provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the proactive urban underground space collapse early warning method as proposed in the first aspect of this disclosure.

[0026] A sixth aspect of this disclosure provides a computer program product that, when executed by a processor, performs an active urban underground space collapse early warning method as proposed in a first aspect of this disclosure.

[0027] The active urban underground space collapse early warning method, device, system, computer equipment, and storage medium disclosed herein determine the master sensor and slave sensors from multiple underground space collapse early warning sensors, control the master sensor to generate an active vibration signal, acquire the real-time response value of each slave sensor to the active vibration signal, and generate a collapse early warning result based on the change information of the real-time response value within a preset time range. Thus, active regional measurement can be achieved based on multiple underground space collapse early warning sensors, thereby effectively improving the timeliness and practicality of urban underground space collapse early warning.

[0028] Additional aspects and advantages of this disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this disclosure. Attached Figure Description

[0029] The above and / or additional aspects and advantages of this disclosure will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, in which:

[0030] Figure 1 This is a flowchart illustrating an embodiment of the proactive urban underground space collapse early warning method proposed in this disclosure;

[0031] Figure 2 This is a flowchart illustrating another embodiment of the proactive urban underground space collapse early warning method proposed in this disclosure;

[0032] Figure 3 This is a schematic diagram of the structure of an active urban underground space collapse early warning device according to an embodiment of this disclosure;

[0033] Figure 4 This is a schematic diagram of the structure of an active urban underground space collapse early warning system proposed in one embodiment of this disclosure;

[0034] Figure 5 This is a schematic diagram of the structure of an underground space collapse early warning sensor according to an embodiment of the present disclosure;

[0035] Figure 6 A block diagram of an exemplary computer device suitable for implementing embodiments of the present disclosure is shown. Detailed Implementation

[0036] Embodiments of this disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are used only to explain this disclosure, and should not be construed as limiting this disclosure. Rather, embodiments of this disclosure include all variations, modifications, and equivalents falling within the spirit and scope of the appended claims.

[0037] Figure 1 This is a flowchart illustrating an embodiment of the proactive urban underground space collapse early warning method proposed in this disclosure.

[0038] It should be noted that the active urban underground space collapse early warning method in this embodiment is implemented by an active urban underground space collapse early warning device. This device can be implemented by software and / or hardware. The device can be configured in a computer device, which may include, but is not limited to, a terminal, a server, etc. For example, the terminal may be a mobile phone, a handheld computer, etc.

[0039] like Figure 1 As shown, this active urban underground space collapse early warning method is executed by an active urban underground space collapse early warning system. The system includes multiple underground space collapse early warning sensors, and the method includes:

[0040] S101: Identify the master sensor and slave sensor from multiple underground space collapse early warning sensors.

[0041] Among them, the underground space collapse early warning sensor can be a sensor used for underground space collapse early warning in the execution subject of this disclosure embodiment.

[0042] The main sensor can refer to the sensor used to generate vibration signals among multiple underground space collapse early warning sensors.

[0043] Among them, the sensor refers to the sensor used to receive vibration signals among multiple underground space collapse early warning sensors.

[0044] For example, in this embodiment of the present disclosure, when determining the master sensor and slave sensor from multiple underground space collapse early warning sensors, one underground space collapse early warning sensor may be designated as the master sensor in advance, and the other sensors may be designated as slave sensors. Alternatively, some underground space collapse early warning sensors may be selected from multiple underground space collapse early warning sensors in sequence as master sensors, and the other sensors other than the master sensor may be designated as slave sensors. There are no restrictions on this.

[0045] In other words, the active urban underground space collapse early warning system in this embodiment includes multiple underground space collapse early warning sensors. When issuing an early warning for urban underground space collapse, the master sensor and slave sensor can be determined from the multiple underground space collapse early warning sensors, thereby providing a reliable execution object for the early warning process.

[0046] S102: Controls the main sensor to generate active vibration signals.

[0047] Among them, active vibration signal can refer to vibration signal actively generated by the main sensor.

[0048] For example, in this embodiment of the disclosure, when controlling the main sensor to generate an active vibration signal, the main sensor may be controlled to vibrate for three minutes every hour.

[0049] In other words, in this embodiment of the present disclosure, the underground space collapse early warning sensor can be pre-configured with a vibration generating device. When the underground space collapse early warning sensor is used as the main sensor, the vibration device can be controlled to generate an active vibration signal in order to achieve active measurement of underground space collapse.

[0050] S103: Acquire the real-time response value of each sensor to the active vibration signal.

[0051] The real-time response value can refer to the response data of the sensor to the active vibration signal.

[0052] It is understood that the response values ​​of sensors to active vibration signals are highly correlated with geological features, and the geological features of the area may change before the underground space collapses. Therefore, in this embodiment of the present disclosure, when the real-time response value of each sensor to the active vibration signal is obtained, a reliable analysis object can be provided for the collapse early warning process.

[0053] S104: Generate a collapse early warning result based on the changes in the real-time response value within a preset time range.

[0054] The preset time range can be a pre-configured time range for determining changes in real-time response values, such as 4 hours or 24 hours. It can be flexibly configured according to the needs of the application scenario, and there are no restrictions on it.

[0055] Among them, the collapse early warning results can be used to indicate whether underground space collapse will occur in the corresponding area.

[0056] For example, in this embodiment of the present disclosure, when generating a collapse warning result based on the change information of the real-time response value within a preset time range, multiple real-time response values ​​within the preset time range may be input into a pre-trained machine learning model to generate a collapse warning result. Alternatively, multiple real-time response values ​​within the preset time range may be processed based on a combination of numerical and graphical methods to obtain a collapse warning result. There are no limitations on this.

[0057] In this embodiment, by determining the master sensor and slave sensors from multiple underground space collapse early warning sensors, controlling the master sensor to generate an active vibration signal, and obtaining the real-time response value of each slave sensor to the active vibration signal, a collapse early warning result is generated based on the change information of the real-time response value within a preset time range. Thus, active regional measurement can be achieved based on multiple underground space collapse early warning sensors, thereby effectively improving the timeliness and practicality of urban underground space collapse early warning.

[0058] Figure 2 This is a flowchart illustrating an active urban underground space collapse early warning method proposed in another embodiment of this disclosure.

[0059] like Figure 2 As shown, the active urban underground space collapse early warning method is executed by an active urban underground space collapse early warning system. The system includes multiple underground space collapse early warning sensors, and the method includes:

[0060] S201: According to the sequence value, multiple underground space collapse early warning sensors are used as master sensors in sequence, and the sensors other than the master sensors among the multiple underground space collapse early warning sensors are used as slave sensors.

[0061] The order value can be a value set in advance for the queuing order of multiple underground space collapse early warning sensors as the main sensors.

[0062] In other words, in this embodiment of the present disclosure, multiple underground space collapse early warning sensors can be used as master sensors in sequence according to their order values, and the sensors other than the master sensors can be used as slave sensors. This can provide a large amount of data support for the collapse early warning analysis process and effectively improve the robustness and reliability of the collapse early warning analysis process.

[0063] Among them, the installation heights of several underground space collapse early warning sensors are different.

[0064] It is understandable that the collapse early warning sensors are installed at different heights in the strata. When the stratum structure of the monitored area changes, but no significant relative displacement has occurred, the data received from the sensors will also change because the structural change will lead to a change in the transmission characteristics of vibration, thus enabling timely acquisition of information on changes in the stratum structure.

[0065] S202: Control multiple underground space collapse early warning sensors to acquire interference vibration signals.

[0066] Among them, the interference vibration signal can refer to the vibration signal that is initially present in the area to be monitored, such as the influence of vehicle driving, road construction, equipment vibration and other uncertain dynamic loads.

[0067] In this embodiment of the disclosure, when multiple underground space collapse early warning sensors are controlled to acquire interference vibration signals, a reliable analysis object can be provided for subsequent determination of the interference frequency range and interference amplitude range.

[0068] S203: Determine the interference frequency range and interference amplitude range based on the interference vibration signal.

[0069] Among them, the interference frequency range and interference amplitude range can refer to the frequency range and amplitude range determined by frequency analysis and amplitude analysis of the interference vibration signal.

[0070] In this embodiment of the disclosure, when the interference frequency range and interference amplitude range are determined based on the interference vibration signal, reliable reference information can be provided for determining the target vibration frequency and target vibration amplitude, thereby effectively avoiding the influence of environmental interference factors on the sensor's reception of the active vibration signal.

[0071] S204: Determine the target vibration frequency and target vibration amplitude based on the interference frequency range and interference amplitude range, wherein the target vibration frequency does not fall within the interference frequency range and the target vibration amplitude does not fall within the interference amplitude range.

[0072] For example, in the embodiments of this disclosure, when determining the target vibration frequency and target vibration amplitude based on the interference frequency range and interference amplitude range, the operating frequency range and operating amplitude range of the main sensor can be determined, and a frequency value that does not belong to the interference frequency range can be randomly selected from the operating frequency range as the target vibration frequency, and an amplitude value that does not belong to the interference amplitude range can be randomly selected from the operating amplitude range as the target vibration amplitude.

[0073] S205: Control the main sensor to generate an active vibration signal based on the target vibration frequency and target vibration amplitude.

[0074] In other words, in this embodiment of the present disclosure, the installation heights of the multiple underground space collapse early warning sensors are different. After determining the main sensor and the slave sensor, the multiple underground space collapse early warning sensors can be controlled to acquire interference vibration signals. Based on the interference vibration signals, the interference frequency range and interference amplitude range are determined. Based on the interference frequency range and interference amplitude range, the target vibration frequency and target vibration amplitude are determined. The target vibration frequency does not belong to the interference frequency range, and the target vibration amplitude does not belong to the interference amplitude range. Based on the target vibration frequency and target vibration amplitude, the main sensor is controlled to generate an active vibration signal. Thus, the practicality and anti-interference ability of the active vibration signal in the early warning process can be effectively improved.

[0075] S206: Acquire the real-time response value of each sensor to the active vibration signal.

[0076] For a detailed description of S206, please refer to the above embodiments, which will not be repeated here.

[0077] S207: Determine the difference information between multiple real-time response values ​​from the sensor within a preset time range.

[0078] The multiple real-time response values ​​may include the response values ​​obtained after the active urban underground space collapse early warning system is initially installed and the above steps are performed, or the response values ​​obtained after the active urban underground space collapse early warning system is installed and the above steps are performed at any historical time point. There is no restriction on this.

[0079] The difference information can be used to indicate the differences between multiple real-time response values.

[0080] For example, in the embodiments of this disclosure, when determining the difference information between multiple real-time response values, the difference information between multiple real-time response values ​​can be determined based on a combination of numerical and graphical methods, or it can be determined based on mathematical or engineering methods, without limitation.

[0081] S208: Generate collapse early warning results based on difference information.

[0082] In this embodiment of the disclosure, when generating a collapse early warning result based on the difference information, it can be based on a pre-configured data relationship table, which contains collapse early warning results corresponding to the difference information, or it can be based on a third-party difference information analysis device, without limitation.

[0083] In other words, in this embodiment of the present disclosure, the difference information between multiple real-time response values ​​of the sensor within a preset time range can be determined, and a collapse early warning result can be generated based on the difference information. Thus, the geological changes in the corresponding area can be accurately indicated based on the difference information between multiple real-time response values, thereby effectively improving the accuracy of the obtained collapse early warning result.

[0084] In this embodiment, multiple underground space collapse early warning sensors are sequentially designated as master sensors according to their order values, and the sensors other than the master sensors are designated as slave sensors. This provides substantial data support for the collapse early warning analysis process and effectively improves its robustness and reliability. By controlling multiple underground space collapse early warning sensors to acquire interference vibration signals, the interference frequency range and amplitude range are determined based on these signals. The target vibration frequency and amplitude are then determined based on these ranges, where the target vibration frequency and amplitude are not within the interference frequency or amplitude range. Based on these target vibration frequencies and amplitudes, the master sensors are controlled to generate active vibration signals, effectively enhancing the practicality and anti-interference capability of the active vibration signals in the early warning process. By determining the differences between multiple real-time response values ​​of the slave sensors within a preset time range, collapse early warning results are generated based on these differences. This allows for accurate indication of geological changes in the corresponding area based on the differences between multiple real-time response values, thereby effectively improving the accuracy of the obtained collapse early warning results.

[0085] Figure 3 This is a schematic diagram of the structure of an active urban underground space collapse early warning device according to an embodiment of this disclosure.

[0086] like Figure 3 As shown, the active urban underground space collapse early warning device 30 is executed by the active urban underground space collapse early warning system. The system includes multiple underground space collapse early warning sensors, and the device 30 includes:

[0087] The determination module 301 is used to determine the master sensor and the slave sensor from multiple underground space collapse early warning sensors;

[0088] Control module 302 is used to control the main sensor to generate active vibration signals;

[0089] The acquisition module 303 is used to acquire the real-time response value of each sensor to the active vibration signal;

[0090] The generation module 304 is used to generate a collapse early warning result based on the change information of the real-time response value within a preset time range.

[0091] It should be noted that the aforementioned explanation of the active urban underground space collapse early warning method also applies to the active urban underground space collapse early warning device of this embodiment, and will not be repeated here.

[0092] In this embodiment, by determining the master sensor and slave sensors from multiple underground space collapse early warning sensors, controlling the master sensor to generate an active vibration signal, and obtaining the real-time response value of each slave sensor to the active vibration signal, a collapse early warning result is generated based on the change information of the real-time response value within a preset time range. Thus, active regional measurement can be achieved based on multiple underground space collapse early warning sensors, thereby effectively improving the timeliness and practicality of urban underground space collapse early warning.

[0093] Figure 4 This is a schematic diagram of the structure of an active urban underground space collapse early warning system proposed in one embodiment of this disclosure.

[0094] like Figure 4 As shown, the active urban underground space collapse early warning system 40 includes: multiple underground space collapse early warning sensors 50 (such as... Figure 4 In the n1, n2, n3, n4, n5, n6…ni), such as Figure 5 As shown, Figure 5 This is a schematic diagram of the structure of an underground space collapse early warning sensor 50 according to an embodiment of the present disclosure. The underground space collapse early warning sensor 50 includes: a triaxial accelerometer 501 for monitoring, a housing 502, a vibration generator 503, a triaxial accelerometer 504 for control, a base 505, and a data storage and transmission unit 506; wherein,

[0095] The triaxial accelerometer 501 is used for monitoring active vibration signals generated by the main sensor and interference vibration signals in the external environment.

[0096] The housing 502 is used to mount the triaxial accelerometer 501 for monitoring, the base 505, and the data storage and transmission unit 506;

[0097] Vibration generator 503 is used to generate active vibration signals;

[0098] The triaxial accelerometer 504 is used for control and is used to detect the vibration frequency and vibration amplitude of the vibration generator 503.

[0099] Base 505, for mounting vibration generator 503 and triaxial accelerometer 504 for control;

[0100] The data storage and transmission unit 506 is used to record and store the response data of the triaxial accelerometer 501 used for monitoring, and to receive user measurement commands and control the vibration generator 503 to generate active vibration signals according to the user measurement commands.

[0101] Optionally, in some embodiments, the underground space collapse early warning sensor 50 is embedded as a whole in the corresponding stratum above the urban underground space, and the installation height of multiple underground space collapse early warning sensors is different.

[0102] In this embodiment, distributed subsidence early warning sensors form a network of nodes. Simultaneously, a subsidence early warning sensor in one node actively generates a vibration signal, which is received by the other sensors. By comparing this signal with laboratory calibration data, the structural characteristics of the geological region between the actively vibrating sensor and the receiving sensor are inverted. Unlike typical buried sensors that measure at one or more installation points, this distributed installation and measurement method allows for regional measurement of the monitored strata. The measurement signals reflect the geological information of the region between the distributed subsidence early warning sensors. The amplitude of each subsidence early warning sensor can be adjusted according to the vibration generator amplitude within the sensor. The installation distance can be adjusted to change the number of subsidence early warning sensors installed. Different installation heights of the sensors within the strata mean that when the geological structure of the monitored area changes, but no significant relative displacement has yet occurred, the changes in structure alter the vibration transmission characteristics, thus changing the data received by the triaxial accelerometer within the subsidence early warning sensor. This allows for timely acquisition of information on changes in the geological structure. The active measurement interval can be manually set, and the measurement information can be stored in the data storage and transmission unit of the subsidence early warning sensor or sent to a ground processing station. This records data from the point of no ground subsidence to the point of eventual subsidence, for use in ground subsidence early warning and subsidence mechanism research.

[0103] For example, the workflow of an underground space collapse early warning system can be as follows:

[0104] Based on laboratory calibration data, the relationship between the vibration frequency and amplitude of the vibration generator inside the collapse early warning sensor and the installation distance between the collapse early warning sensor was determined to ensure that the vibration generated by the active vibration generator after installation can be detected by the monitoring triaxial accelerometer in other collapse early warning sensors.

[0105] Set up a collapse early warning sensor that actively generates vibrations, in order to Figure 4Taking n1 as an active vibration-based subsidence early warning sensor as an example, the subsidence early warning sensor n1 generates a vibration signal with a specific frequency and amplitude according to the instructions of the ground base station. This signal is received by the monitoring triaxial accelerometer among the distributed subsidence early warning sensors n2, n3, n4, n5, n6...ni, etc. By comparing the data with laboratory calibration data and long-term monitoring data, it is determined whether there has been a change in the geological characteristics of the area between the subsidence early warning sensor n1 and other subsidence early warning sensors. If the subsidence conditions are met, the information of the area where subsidence may occur is sent to the ground base station, thereby realizing the subsidence early warning.

[0106] To improve the reliability and consistency of the data, the collapse early warning sensors n1, n2, n3, n4, n5, n6...ni can be used as active vibration collapse early warning sensors in sequence, or several of them can be selected as active collapse early warning sensors.

[0107] The measurement time and time interval can be set according to actual needs to obtain measurement information with a certain time resolution.

[0108] Due to the influence of vehicle traffic, road construction, equipment vibration, and other uncertain dynamic loads on the ground, the monitoring triaxial accelerometers in the collapse early warning sensors n1, n2, n3, n4, n5, n6...ni will inevitably have certain initial response values ​​during the measurement process. Therefore, it is necessary to perform spectrum analysis on the response data of each collapse early warning sensor before vibration. The frequencies and amplitudes of the collapse early warning sensors installed in different underground space collapse early warning areas should avoid the same frequencies and amplitudes as external disturbances, so that the acceleration information obtained by the monitoring triaxial accelerometers in each receiving collapse early warning sensor can be separated from the complex response signal for processing.

[0109] In this embodiment, by determining the master sensor and slave sensors from multiple underground space collapse early warning sensors, controlling the master sensor to generate an active vibration signal, and obtaining the real-time response value of each slave sensor to the active vibration signal, a collapse early warning result is generated based on the change information of the real-time response value within a preset time range. Thus, active regional measurement can be achieved based on multiple underground space collapse early warning sensors, thereby effectively improving the timeliness and practicality of urban underground space collapse early warning.

[0110] Figure 6 A block diagram of an exemplary computer device suitable for implementing embodiments of the present disclosure is shown. Figure 6 The computer device 12 shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments disclosed herein.

[0111] like Figure 6As shown, the computer device 12 is represented in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and a bus 18 connecting different system components (including system memory 28 and processing unit 16).

[0112] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0113] Computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0114] Memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and / or cache memory 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 6 Not shown; usually referred to as a "hard drive".

[0115] although Figure 6Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disc drive for reading and writing to a removable non-volatile optical disc (e.g., a compact disc read-only memory (CD-ROM), a digital video disc read-only memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this disclosure.

[0116] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of this disclosure.

[0117] Computer device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable human interaction with the computer device 12, and / or with any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 22. Furthermore, computer device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0118] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the proactive urban underground space collapse early warning method mentioned in the foregoing embodiments.

[0119] To implement the above embodiments, this disclosure also proposes a non-transitory computer-readable storage medium storing a computer program that, when executed by a processor, implements the proactive urban underground space collapse early warning method proposed in the foregoing embodiments of this disclosure.

[0120] To implement the above embodiments, this disclosure also proposes a computer program product that, when executed by an instruction processor, performs the proactive urban underground space collapse early warning method as proposed in the foregoing embodiments of this disclosure.

[0121] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0122] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

[0123] It should be noted that in the description of this disclosure, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, in the description of this disclosure, unless otherwise stated, "a plurality of" means two or more.

[0124] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of preferred embodiments of this disclosure includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the function involved, as will be understood by those skilled in the art to which embodiments of this disclosure pertain.

[0125] It should be understood that various parts of this disclosure can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0126] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0127] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0128] The storage media mentioned above can be read-only memory, disk, or optical disk, etc.

[0129] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this disclosure. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0130] Although embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A proactive early warning method for urban underground space collapse, characterized in that, The method is executed by an active urban underground space collapse early warning system, the system comprising multiple underground space collapse early warning sensors, and includes: The master sensor and slave sensor are determined from the plurality of underground space collapse early warning sensors; Control the main sensor to generate an active vibration signal; Obtain the real-time response value of each of the sensors to the active vibration signal; Based on the changes in the real-time response value within a preset time range, a collapse early warning result is generated; The installation heights of the various underground space collapse early warning sensors are different; The step of controlling the main sensor to generate an active vibration signal includes: Control the multiple underground space collapse early warning sensors to acquire interference vibration signals; Based on the interference vibration signal, determine the interference frequency range and interference amplitude range; Based on the interference frequency range and the interference amplitude range, the target vibration frequency and the target vibration amplitude are determined, wherein the target vibration frequency does not belong to the interference frequency range and the target vibration amplitude does not belong to the interference amplitude range. Based on the target vibration frequency and the target vibration amplitude, the main sensor is controlled to generate the active vibration signal.

2. The method as described in claim 1, characterized in that, The underground space collapse early warning sensor has a corresponding sequence value; The step of determining the master sensor and slave sensor from the plurality of underground space collapse early warning sensors includes: According to the order value, the plurality of underground space collapse early warning sensors are sequentially designated as the master sensors, and the sensors other than the master sensors among the plurality of underground space collapse early warning sensors are designated as slave sensors.

3. The method as described in claim 1, characterized in that, The step of generating a collapse early warning result based on the change information of the real-time response value within a preset time range includes: Determine the difference information between multiple real-time response values ​​of the sensor within the preset time range; Based on the difference information, the collapse early warning result is generated.

4. An active urban underground space collapse early warning device, characterized in that, The method described in any one of claims 1-3, executed by an active urban underground space collapse early warning system, the system comprising a plurality of underground space collapse early warning sensors, the device comprising: A determination module is used to determine the master sensor and slave sensor from the plurality of underground space collapse early warning sensors; The control module is used to control the main sensor to generate active vibration signals; An acquisition module is used to acquire the real-time response value of each of the slave sensors to the active vibration signal; The generation module is used to generate a collapse early warning result based on the change information of the real-time response value within a preset time range.

5. An active urban underground space collapse early warning system, characterized in that, The active urban underground space collapse early warning system includes: multiple underground space collapse early warning sensors, each of which includes: a triaxial accelerometer for monitoring, a housing, a vibration generator, a triaxial accelerometer for control, a base, and a data storage and transmission unit; wherein, The triaxial accelerometer used for monitoring is used to monitor the active vibration signal generated by the main sensor and the interference vibration signal in the external environment; The housing is used to mount the triaxial accelerometer for monitoring, the base, and the data storage and transmission unit; The vibration generator is used to generate the active vibration signal; The triaxial accelerometer used for control is used to detect the vibration frequency and vibration amplitude of the vibration generator; The base is used to mount the vibration generator and the triaxial accelerometer used for control. The data storage and transmission unit is used to record and store the response data of the triaxial accelerometer used for monitoring, and to receive user measurement commands and control the vibration generator to generate the active vibration signal according to the user measurement commands.

6. The system as described in claim 5, characterized in that, The underground space collapse early warning sensor is embedded as a whole in the corresponding stratum above the urban underground space, and the installation height of multiple underground space collapse early warning sensors is different.

7. A computer device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-3.

8. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, in, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-3.

9. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the steps of the method according to any one of claims 1-3.

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