Earthquake information monitoring method and device, base station and storage medium

Abstract

The invention is suitable for the technical field of earthquake monitoring, and provides an earthquake information monitoring method and device, a base station and a storage medium, and the method comprises the steps: obtaining the frequency, amplitude and duration of a to-be-detected signal; judging whether the to-be-detected signal is abnormal based on the frequency, the amplitude and the duration; if the to-be-detected signal is an abnormal signal, searching all nearby small base stations which collect the to-be-detected signal based on the frequency, the amplitude and the duration; and if the small base stations in the preset proportion simultaneously affirm that the to-be-detected signals are abnormal signals, affirming the to-be-detected signals as seismic signals, and performing early warning on users in the small base stations and all the nearby small base stations collecting the to-be-detected signals. The early warning information can be sent to the epicenter in time, and the situation that effective early warning cannot be received in the epicenter is avoided.

Description

Technical Field

[0001] The present application belongs to the field of earthquake monitoring technology, and in particular, relates to earthquake information monitoring methods, devices, servers and storage media. Background Art

[0002] When an earthquake occurs, two main types of seismic waves are generated: P waves (longitudinal waves) and S waves (transverse waves). P waves are the first waves to reach the ground. They propagate in a compression and tension manner and have a faster propagation speed of about 5-7 km / s. S waves arrive later. They propagate in a shear manner and are more destructive to structures such as buildings. They propagate more slowly, at about 3-4 km / s. Because P waves are faster than S waves, earthquake early warning systems usually rely on P waves to trigger warnings.

[0003] However, the method of detecting seismic signals through P waves usually has a certain degree of error, which can easily lead to false alarms. Summary of the invention

[0004] The embodiments of the present application provide an earthquake information monitoring method, device, base station and storage medium, so as to quickly and accurately determine earthquake signals and send early warning information to the epicenter in a timely manner to avoid the situation where the epicenter cannot receive effective early warnings.

[0005] This application is implemented through the following technical solutions:

[0006] In a first aspect, an embodiment of the present application provides a method for monitoring earthquake information, comprising:

[0007] Get the frequency, amplitude and duration of the signal to be detected.

[0008] Based on the frequency, amplitude and duration, determine whether the signal to be detected is abnormal.

[0009] If the signal to be detected is an abnormal signal, all small base stations nearby that have collected the signal to be detected are searched based on the frequency, amplitude and duration.

[0010] If a preset proportion of small base stations simultaneously identify the signal to be detected as an abnormal signal, the signal to be detected is identified as an earthquake signal, and an early warning is issued to users in the small base station and all nearby small base stations that have collected the signal to be detected.

[0011] In combination with the first aspect, in some possible implementations, judging whether the signal to be detected is abnormal based on the frequency, amplitude, and duration includes:

[0012] Get the frequency, amplitude and duration of multiple historical seismic signals.

[0013] The signal to be detected and multiple seismic signals are plotted in a three-dimensional coordinate system to obtain a target three-dimensional space with sample points of the signal to be detected and multiple sample points of the seismic signal; wherein the frequency, amplitude and duration represent the X-axis, Y-axis and Z-axis of the three-dimensional coordinate system respectively.

[0014] A cutting point is randomly selected to cut the target three-dimensional space into two first areas; wherein each of the first areas has a signal sample point to be detected or a seismic signal sample point.

[0015] For each first area, a cutting point is randomly selected to cut the first area into two second areas; wherein each second area has a signal sample point to be detected or a seismic signal sample point.

[0016] Each second area is continuously cut until there is only one signal sample point to be detected or seismic signal sample point in each area after cutting, and then the cutting is stopped to obtain the number of times corresponding to the completion of cutting of each sample point.

[0017] Based on the number of times each sample point is cut and a preset number threshold, clustered data and isolated data are determined.

[0018] Based on the aggregated data and isolated data, determine whether the signal to be detected is an abnormal signal.

[0019] In combination with the first aspect, in some possible implementations, determining the aggregated data and the isolated data based on the number of times each sample point is cut and a preset number threshold includes:

[0020] For each sample point, if the number of times corresponding to the sample point is less than the preset number threshold, the sample point is determined as isolated data; if the number of times corresponding to the sample point is greater than or equal to the preset number threshold, the sample point is determined as a cluster.

[0021] In combination with the first aspect, in some possible implementations, judging whether the signal to be detected is an abnormal signal based on the aggregated data and the isolated data includes:

[0022] If the signal to be detected is determined to be aggregated data, the signal to be detected is considered to be an abnormal signal.

[0023] If the signal to be detected is determined to be isolated data, the signal to be detected is considered to be a normal signal.

[0024] In combination with the first aspect, in some possible implementations, all small base stations are in the same cellular network, and data transmission and information transfer are performed through the cellular network; all small base stations use the same method to determine whether the signal to be detected is abnormal.

[0025] In conjunction with the first aspect, in some possible implementations, the earthquake information monitoring method further includes:

[0026] When the signal to be detected is determined to be a seismic signal, the signal to be detected is stored in a historical seismic signal database.

[0027] In combination with the first aspect, in some possible implementations, obtaining the frequency, amplitude, and duration of the signal to be detected includes:

[0028] Get the original frequency, original amplitude and original duration of the signal to be detected.

[0029] The original frequency, the original amplitude and the original duration are subjected to a denoising operation to obtain the frequency of the signal to be detected, the amplitude of the signal to be detected and the duration of the signal to be detected.

[0030] In a second aspect, an embodiment of the present application provides a seismic information monitoring device, comprising:

[0031] The data acquisition module is used to acquire the frequency, amplitude and duration of the signal to be detected.

[0032] The abnormality judgment module is used to judge whether the signal to be detected is abnormal based on frequency, amplitude and duration.

[0033] The data processing module is used to find all the small base stations nearby that have collected the signal to be detected based on the frequency, amplitude and duration if the signal to be detected is an abnormal signal.

[0034] The result warning module is used to identify the signal to be detected as an earthquake signal if a preset proportion of small base stations simultaneously identify the signal to be detected as an abnormal signal, and to issue a warning to the users in the small base station and all nearby small base stations that have collected the signal to be detected.

[0035] In a third aspect, an embodiment of the present application provides a terminal device, comprising: a processor and a memory, the memory being used to store a computer program, and when the processor executes the computer program, the earthquake information monitoring method as described in any one of the first aspects is implemented.

[0036] In a fourth aspect, an embodiment of the present application 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 earthquake information monitoring method as described in any one of the first aspects is implemented.

[0037] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0038] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0039] The present application is applied to small base stations installed in communities or cells. Since the present solution only needs the frequency, amplitude and duration of the signal to be detected to determine whether the signal is abnormal, and combines the judgment results of multiple small base stations nearby to determine whether the signal to be detected is an earthquake signal, it can quickly and accurately determine the earthquake signal and send early warning information to the epicenter in time to avoid the situation where the epicenter cannot receive effective early warnings. In addition, the combination of multiple small base stations can improve the accuracy of signal judgment and avoid the occurrence of false alarms due to interference; finally, due to the presence of multiple small base stations, while improving the accuracy, early warning information will also be sent to users at the same time, thus avoiding the possibility that users cannot receive signals.

[0040] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0042] Figure 1 It is a flowchart of a method for monitoring earthquake information provided by an embodiment of the present application;

[0043] Figure 2 is a structural schematic diagram of an earthquake information monitoring device provided in one embodiment of the present application;

[0044] Figure 3 It is a structural diagram of a terminal device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0045] 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 application. However, it should be clear to those skilled in the art that the present application may also 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 application.

[0046] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0047] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0048] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0049] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0050] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0051] The present application provides a method for monitoring earthquake information. Figure 1 is a schematic diagram of the process of the earthquake information monitoring method provided by an embodiment of the present application, referring to Figure 1 , the earthquake information monitoring method is described in detail as follows:

[0052] Step 101, obtaining the frequency, amplitude and duration of the signal to be detected.

[0053] Exemplarily, step 101 may include:

[0054] Get the original frequency, original amplitude and original duration of the signal to be detected.

[0055] The original frequency, the original amplitude and the original duration are subjected to a denoising operation to obtain the frequency of the signal to be detected, the amplitude of the signal to be detected and the duration of the signal to be detected.

[0056] Step 102: determine whether the signal to be detected is abnormal based on the frequency, amplitude and duration.

[0057] Exemplarily, step 102 may include:

[0058] Get the frequency, amplitude and duration of multiple historical seismic signals.

[0059] The signal to be detected and multiple seismic signals are plotted in a three-dimensional coordinate system to obtain a target three-dimensional space with sample points of the signal to be detected and multiple sample points of the seismic signal; wherein the frequency, amplitude and duration represent the X-axis, Y-axis and Z-axis of the three-dimensional coordinate system respectively.

[0060] A cutting point is randomly selected to cut the target three-dimensional space into two first areas; wherein each of the first areas has a signal sample point to be detected or a seismic signal sample point.

[0061] For each first area, a cutting point is randomly selected to cut the first area into two second areas; wherein each second area has a signal sample point to be detected or a seismic signal sample point.

[0062] Each second area is continuously cut until there is only one signal sample point to be detected or seismic signal sample point in each area after cutting, and then the cutting is stopped to obtain the number of times corresponding to the completion of cutting of each sample point.

[0063] Based on the number of times each sample point is cut and a preset number threshold, clustered data and isolated data are determined.

[0064] Based on the aggregated data and isolated data, determine whether the signal to be detected is an abnormal signal.

[0065] Specifically, the above method can be used to divide aggregated data and isolated data, and can quickly screen out abnormal signals without performing a large amount of data calculations, thereby improving processing efficiency.

[0066] Exemplarily, based on the number of times each sample point is cut and a preset number threshold, determining the aggregated data and the isolated data includes:

[0067] For each sample point, if the number of times the sample point corresponds to is less than the preset number threshold, the sample point is determined as isolated data; if the number of times the sample point corresponds to is greater than or equal to the preset number threshold, the sample point is determined as a cluster.

[0068] Exemplarily, judging whether the signal to be detected is an abnormal signal based on the aggregated data and the isolated data includes:

[0069] If the signal to be detected is determined to be aggregated data, the signal to be detected is considered to be an abnormal signal.

[0070] If the signal to be detected is determined to be isolated data, the signal to be detected is considered to be a normal signal.

[0071] Specifically, when the signal to be detected is identified as aggregated data, it proves that it is relatively similar to the seismic signal, so it can be concluded that the signal to be detected is an abnormal signal. When the signal to be detected is identified as isolated data, it proves that it is less similar to the seismic signal, so it can be considered that it is not a seismic signal.

[0072] Step 103: If the signal to be detected is an abnormal signal, all small base stations in the vicinity that have collected the signal to be detected are searched based on the frequency, amplitude and duration.

[0073] Exemplarily, all small base stations are in the same cellular network, and data transmission and information transfer are performed through the cellular network; all small base stations use the same method to determine whether the signal to be detected is abnormal.

[0074] Specifically, small base stations are generally set up in communities or cells and are widely distributed, forming a cellular network to transmit data and transfer information in a timely manner.

[0075] Step 104: If a preset proportion of small base stations simultaneously identify the signal to be detected as an abnormal signal, the signal to be detected is identified as an earthquake signal, and an early warning is issued to users in the small base station and all nearby small base stations that have collected the signal to be detected.

[0076] Specifically, the method of using multiple small base stations to detect the signal to be detected at the same time can improve the accuracy of signal judgment and the accuracy of forecast. In addition, after the earthquake signal is identified, multiple small base stations can issue warnings at the same time, which means that it can ensure that every person can receive warning information multiple times and avoid danger in time (although the range of small base stations is small, there are many overlapping ranges in real life, so when an earthquake occurs, the same person may receive warning information sent by multiple base stations at the same time).

[0077] Exemplarily, step 104 may include:

[0078] When the signal to be detected is determined to be a seismic signal, the signal to be detected is stored in a historical seismic signal database.

[0079] The above-mentioned earthquake information monitoring method is applied to small base stations installed in communities or residential areas. Since this scheme only needs the frequency, amplitude and duration of the signal to be detected to determine whether the signal is abnormal, and combines the judgment results of multiple nearby small base stations to determine whether the signal to be detected is an earthquake signal, it can quickly and accurately determine the earthquake signal and send early warning information to the epicenter in time to avoid the situation where the epicenter cannot receive effective early warnings. In addition, combining multiple small base stations can improve the accuracy of signal judgment and avoid the occurrence of false alarms due to interference; finally, due to the presence of multiple small base stations, while improving accuracy, early warning information will also be sent to users at the same time, thus avoiding the possibility that users cannot receive signals.

[0080] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0081] Corresponding to the earthquake information monitoring method described in the above embodiment, Figure 2 A structural block diagram of an earthquake information monitoring device provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0082] See also Figure 2 , the earthquake information monitoring device in the embodiment of the present application may include:

[0083] The data acquisition module 201 is used to acquire the frequency, amplitude and duration of the signal to be detected.

[0084] The abnormality determination module 202 is used to determine whether the signal to be detected is abnormal based on the frequency, amplitude and duration.

[0085] The data processing module 203 is used to find all the small base stations nearby that have collected the signal to be detected based on the frequency, amplitude and duration if the signal to be detected is an abnormal signal.

[0086] The result warning module 204 is used to identify the signal to be detected as an earthquake signal if a preset proportion of small base stations simultaneously identify the signal to be detected as an abnormal signal, and to issue a warning to the users in the small base station and all nearby small base stations that have collected the signal to be detected.

[0087] Exemplarily, the abnormality determination module 202 may be used to:

[0088] Get the frequency, amplitude and duration of multiple historical seismic signals.

[0089] The signal to be detected and multiple seismic signals are plotted in a three-dimensional coordinate system to obtain a target three-dimensional space with sample points of the signal to be detected and multiple sample points of the seismic signal; wherein the frequency, amplitude and duration represent the X-axis, Y-axis and Z-axis of the three-dimensional coordinate system respectively.

[0090] A cutting point is randomly selected to cut the target three-dimensional space into two first areas; wherein each of the first areas has a signal sample point to be detected or a seismic signal sample point.

[0091] For each first area, a cutting point is randomly selected to cut the first area into two second areas; wherein each second area has a signal sample point to be detected or a seismic signal sample point.

[0092] Each second area is continuously cut until there is only one signal sample point to be detected or seismic signal sample point in each area after cutting, and then the cutting is stopped to obtain the number of times corresponding to the completion of cutting of each sample point.

[0093] Based on the number of times each sample point is cut and a preset number threshold, clustered data and isolated data are determined.

[0094] Based on the aggregated data and isolated data, determine whether the signal to be detected is an abnormal signal.

[0095] Exemplarily, the abnormality determination module 202 may be used to:

[0096] For each sample point, if the number of times corresponding to the sample point is less than the preset number threshold, the sample point is determined as isolated data; if the number of times corresponding to the sample point is greater than or equal to the preset number threshold, the sample point is determined as a cluster.

[0097] Exemplarily, the abnormality determination module 202 may be used to:

[0098] If the signal to be detected is determined to be aggregated data, the signal to be detected is considered to be an abnormal signal.

[0099] If the signal to be detected is determined to be isolated data, the signal to be detected is considered to be a normal signal.

[0100] Exemplarily, all small base stations are in the same cellular network, and data transmission and information transfer are performed through the cellular network; all small base stations use the same method to determine whether the signal to be detected is abnormal.

[0101] Exemplarily, the result warning module 204 may be used to:

[0102] When the signal to be detected is determined to be a seismic signal, the signal to be detected is stored in a historical seismic signal database.

[0103] Exemplarily, the data acquisition module 201 may be used for:

[0104] Get the original frequency, original amplitude and original duration of the signal to be detected.

[0105] The original frequency, the original amplitude and the original duration are subjected to a denoising operation to obtain the frequency of the signal to be detected, the amplitude of the signal to be detected and the duration of the signal to be detected.

[0106] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0107] 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.

[0108] The present application also provides a terminal device, see Figure 3 The terminal device 300 may include: at least one processor 310 and a memory 320, wherein the memory 320 is used to store a computer program 321, and the processor 310 is used to call and run the computer program 321 stored in the memory 320 to implement the steps in any of the above-mentioned method embodiments, for example Figure 1 Steps 101 to 104 in the illustrated embodiment. Alternatively, when the processor 310 executes the computer program, the functions of each module / unit in the above-mentioned device embodiments are implemented, for example Figure 2 The functions of each module are shown.

[0109] Exemplarily, the computer program 321 may be divided into one or more modules / units, one or more modules / units are stored in the memory 320, and are executed by the processor 310 to complete the present application. The one or more modules / units may be a series of computer program segments that can complete specific functions, and the program segments are used to describe the execution process of the computer program in the terminal device 300.

[0110] Those skilled in the art will understand that Figure 3 It is only an example of a terminal device and does not constitute a limitation on the terminal device. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, such as input and output devices, network access devices, buses, etc.

[0111] The processor 310 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 the processor may be any conventional processor, etc.

[0112] The memory 320 may be an internal storage unit of the terminal device, or an external storage device of the terminal device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. The memory 320 is used to store the computer program and other programs and data required by the terminal device. The memory 320 may also be used to temporarily store data that has been output or is to be output.

[0113] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0114] The earthquake information monitoring method provided in the embodiment of the present application can be applied to terminal devices such as computers, wearable devices, vehicle-mounted devices, tablet computers, laptops, netbooks, etc. The embodiment of the present application does not impose any restrictions on the specific type of terminal devices.

[0115] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it can implement the steps in each embodiment of the above-mentioned earthquake information monitoring method.

[0116] An embodiment of the present application provides a computer program product. When the computer program product runs on a mobile terminal, the mobile terminal can implement the steps in each embodiment of the above-mentioned earthquake information monitoring method when executing the computer program product.

[0117] If the integrated 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 application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. 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 at least include: any entity or device that can carry the computer program code to the camera device / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.

[0118] 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.

[0119] Those of ordinary skill 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 this application.

[0120] In the embodiments provided in the present application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely 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.

[0121] 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.

[0122] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person 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 application, and should all be included in the protection scope of the present application.

Claims

1. A method for monitoring earthquake information, characterized in that: Applied to small base stations, including: Obtain the frequency, amplitude and duration of the signal to be detected; Based on the frequency, the amplitude and the duration, determining whether the signal to be detected is abnormal; If the signal to be detected is an abnormal signal, based on the frequency, amplitude and duration, all small base stations nearby that have collected the signal to be detected are searched; If a preset proportion of small base stations simultaneously identify the signal to be detected as an abnormal signal, the signal to be detected is identified as an earthquake signal, and an early warning is issued to users in the small base station and all nearby small base stations that have collected the signal to be detected.

2. The earthquake information monitoring method according to claim 1, characterized in that: The determining whether the signal to be detected is abnormal based on the frequency, the amplitude and the duration includes: Obtain the frequency, amplitude and duration of multiple historical seismic signals; Plotting the signal to be detected and the multiple seismic signals in a three-dimensional coordinate system to obtain a target three-dimensional space with sample points of the signal to be detected and multiple sample points of the seismic signals; wherein the frequency, the amplitude and the duration represent the X axis, the Y axis and the Z axis of the three-dimensional coordinate system respectively; Randomly select a cutting point to cut the target three-dimensional space into two first areas; wherein each first area contains the signal sample point to be detected or the seismic signal sample point; For each first area, a cutting point is randomly selected to cut the first area into two second areas; wherein each second area contains the signal sample point to be detected or the seismic signal sample point; Continue cutting each second area until there is only one sample point of the signal to be detected or the seismic signal sample point in each area after cutting, stop cutting, and obtain the number of times corresponding to the completion of cutting of each sample point; Determine the clustered data and the isolated data based on the number of times each sample point is cut and a preset number threshold; Based on the aggregated data and the isolated data, it is determined whether the signal to be detected is an abnormal signal.

3. The earthquake information monitoring method according to claim 2, characterized in that: The determining the clustered data and the isolated data based on the number of times corresponding to the completion of the cutting of each sample point and a preset number threshold comprises: For each sample point, if the number of times corresponding to the sample point is less than the preset number threshold, the sample point is determined as the isolated data; if the number of times corresponding to the sample point is greater than or equal to the preset number threshold, the sample point is determined as the cluster.

4. The earthquake information monitoring method according to claim 2, characterized in that: The step of judging whether the signal to be detected is an abnormal signal based on the aggregated data and the isolated data includes: If the signal to be detected is determined to be aggregated data, then the signal to be detected is considered to be an abnormal signal; If the signal to be detected is determined to be isolated data, the signal to be detected is considered to be a normal signal.

5. The earthquake information monitoring method according to claim 1, characterized in that: All of the small base stations are in the same cellular network, and data transmission and information transfer are performed through the cellular network; all of the small base stations use the same method to determine whether the signal to be detected is abnormal.

6. The earthquake information monitoring method according to claim 1, characterized in that: The earthquake information monitoring method further includes: When the signal to be detected is determined to be a seismic signal, the signal to be detected is stored in a historical seismic signal database.

7. The earthquake information monitoring method according to claim 1, characterized in that: The step of obtaining the frequency, amplitude and duration of the signal to be detected includes: Acquiring the original frequency, original amplitude and original duration of the signal to be detected; A denoising operation is performed on the original frequency, the original amplitude and the original duration to obtain the frequency of the signal to be detected, the amplitude of the signal to be detected and the duration of the signal to be detected.

8. An earthquake information monitoring device, characterized in that: include: A data acquisition module, used to acquire the frequency, amplitude and duration of the signal to be detected; an abnormality judgment module, used for judging whether the signal to be detected is abnormal based on the frequency, the amplitude and the duration; A data processing module, configured to search for all nearby small base stations that have collected the signal to be detected based on frequency, amplitude and duration if the signal to be detected is an abnormal signal; The result warning module is used to identify the signal to be detected as an earthquake signal if a preset proportion of small base stations simultaneously identify the signal to be detected as an abnormal signal, and to issue a warning to users in the small base station and all nearby small base stations that have collected the signal to be detected.

9. A small base station, comprising: A processor and a memory, wherein the memory stores a computer program that can be run on the processor, and wherein when the processor executes the computer program, the earthquake information monitoring method as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the earthquake information monitoring method according to any one of claims 1 to 7 is implemented.

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