A method, apparatus, system, and storage medium for monitoring signal faults.

Abstract

This application provides a method, apparatus, system, and storage medium for monitoring signal faults. By selecting target users whose permanent locations are within the monitored area to form a target user cluster, and acquiring the signal strength of each target user in the cluster to determine the current signal strength of the monitored area, the method then determines whether the network equipment corresponding to the monitored area has malfunctioned based on the pre-acquired standard signal strength and the current signal strength of the monitored area. Using the method provided in this application, by analyzing the signal in the permanent location of the target user cluster, the location of signal faults can be accurately detected, while saving manpower and material resources.

Description

Technical Field

[0001] This application relates to wireless communication technology, and more particularly to a method, apparatus, system, and storage medium for monitoring signal faults. Background Technology

[0002] With the development of wireless communication technology, mobile communication has become an indispensable part of people's daily lives and work. As the number of mobile users rapidly increases and high-rise buildings become more prevalent, people have increasingly higher requirements for indoor signal strength. Therefore, monitoring signal faults to improve signal quality has become a major concern.

[0003] In existing technologies, monitoring mobile signals in high-rise buildings usually requires manual on-site signal testing or relies on quality inspection reports from terminals to base stations to determine whether a signal malfunction has occurred.

[0004] However, manually testing the signal strength inside a building can be very time-consuming and resource-intensive, and is also subject to chance. Furthermore, while a quality inspection report may indicate a signal failure, it only provides information about a specific cell under the base station and does not reveal the exact location of the failure. Summary of the Invention

[0005] This application provides a method, device, system, and storage medium for monitoring signal faults, in order to solve the problem of inaccurate monitoring of signal faults within buildings.

[0006] In a first aspect, this application provides a method for monitoring signal faults, comprising:

[0007] Among the users located in the area to be monitored, select the users who reside in the area to be monitored to form a target user cluster;

[0008] Obtain the signal strength of each target user in the target user cluster to determine the current signal strength of the area to be monitored;

[0009] Based on the pre-acquired standard signal strength of the area to be monitored and the current signal strength of the area to be monitored, it is determined whether the network device corresponding to the area to be monitored is malfunctioning.

[0010] Secondly, this application provides a signal fault monitoring device, comprising:

[0011] Filtering module: Among users located in the area to be monitored, select target users whose permanent residence area is the area to be monitored to form a target user cluster;

[0012] Determination module: Obtains the signal strength of each target user in the target user cluster to determine the current signal strength of the area to be monitored;

[0013] Judgment module: Based on the pre-acquired standard signal strength of the area to be monitored and the current signal strength of the area to be monitored, determine whether the network device corresponding to the area to be monitored is malfunctioning.

[0014] Thirdly, this application provides a signal fault monitoring system, comprising:

[0015] Signal fault monitoring device, base station and terminal in the area to be monitored;

[0016] The signal fault monitoring device is used to receive real-time operating data uploaded by the base station and the terminal, and to monitor the signal in the area to be monitored according to the signal fault monitoring method described in any of the preceding claims.

[0017] Fourthly, this application provides an electronic device, comprising:

[0018] A processor, and a memory communicatively connected to the processor;

[0019] The memory stores computer-executed instructions;

[0020] The processor executes computer execution instructions stored in the memory to implement the method as described in the preceding one.

[0021] Fifthly, this application provides a computer-readable storage medium, including computer-executable instructions stored therein, which, when executed by a processor, are used to implement the configuration method of the optical transmission loop network as described in any of the preceding claims.

[0022] Sixthly, this application provides a computer program product including a computer program that, when executed by a processor, implements the method described in any of the preceding claims.

[0023] This application provides a method, apparatus, system, and storage medium for monitoring signal faults. By selecting target users whose permanent locations are within the monitored area to form a target user cluster, and acquiring the signal strength of each target user in the cluster to determine the current signal strength of the monitored area, the method then determines whether the network equipment corresponding to the monitored area has malfunctioned based on the pre-acquired standard signal strength and the current signal strength of the monitored area. Using the method provided in this application, by analyzing the signal in the permanent location of the target user cluster, the location of signal faults can be accurately detected, while saving manpower and material resources. Attached Figure Description

[0024] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0025] Figure 1 This is a schematic diagram of a network architecture on which this application is based;

[0026] Figure 2 This is a flowchart illustrating a signal fault monitoring method provided in this application;

[0027] Figure 3 This is a schematic diagram of the structure of a signal fault monitoring device provided in this application;

[0028] Figure 4 This is a schematic diagram of a signal fault monitoring system provided in this application;

[0029] Figure 5 This is a schematic diagram of the hardware structure of the electronic device provided in this application.

[0030] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0031] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0032] With the development of wireless communication technology, mobile communication has become an indispensable part of people's daily lives and work. As the number of mobile users and high-rise buildings increases, the demands for call quality and network speed in crowded indoor spaces are rising, with a growing desire for reliable network signal coverage anywhere indoors. This has made monitoring signal faults a hot research topic in the field.

[0033] In existing technologies, signals in high-rise buildings can be monitored in a traditional way, that is, by having testers periodically conduct on-site tests indoors or by relying on user complaints to discover faults. Alternatively, they can be analyzed by analyzing the signal strength information in the quality inspection report reported by the analysis terminal to the base station to determine whether a signal fault has occurred.

[0034] However, manually testing signal strength inside buildings can be time-consuming and resource-intensive, and is also subject to chance. Furthermore, relying on user complaints to report signal failures can alienate users and hinder the operator's development. In addition, using signal strength data from quality inspection reports to determine signal failures only indicates the coverage area where the failure occurred, but cannot pinpoint the exact location within that coverage area.

[0035] To address this technical problem, the inventors considered utilizing the fact that users' usual residences are generally located indoors in buildings. By referring to the users' usual residences, users can be grouped into clusters to first determine several inner areas as monitoring areas. Then, by comparing the signal strength of the target user clusters located in the monitoring areas with the standard signal strength of the monitoring areas, it can be determined whether there is a signal fault in the monitoring areas. This reduces the consumption of human and material resources and makes signal monitoring more accurate.

[0036] Specifically, this application selects target users whose permanent locations are within the monitored area to form a target user cluster. It then acquires the signal strength of each target user in the cluster to determine the current signal strength of the monitored area. Based on the pre-acquired standard signal strength and the current signal strength of the monitored area, it determines whether the network equipment corresponding to the monitored area is malfunctioning. Using the method provided in this application, by analyzing the signal in the permanent location of the target user cluster, the location of signal faults can be accurately detected, while saving manpower and material resources.

[0037] The technical solutions of the embodiments of this application and how the technical solutions of this application solve the above-mentioned technical problems are described in detail below with specific examples. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0038] refer to Figure 1 , Figure 1 This is a schematic diagram of a network architecture on which this application is based, such as... Figure 1 As shown, the network architecture includes server 1, base station 2, and terminal 3.

[0039] Specifically, server 1 is a server cluster capable of processing massive amounts of data, which may integrate or install the signal fault monitoring device provided in this application. The signal fault monitoring device can determine whether there is a signal fault in the area to be monitored based on the signal fault monitoring method provided in this application.

[0040] Base station 2 can be a 3G base station, 4G base station, or 5G base station. It can upload its measurement reports and signaling data to server 1 in real time or at certain intervals for use by the signal fault detection device in server 1 to screen out target user clusters in the area to be detected. It can also establish a connection with terminal 3 based on wireless communication technology, and terminal 3 can report the measurement reports to base station 2 in real time.

[0041] Terminal 3 can be a user's mobile phone, desktop computer, tablet computer, or other hardware device. It can directly upload its own acceleration, angular velocity, and satellite signals to server 1 so that the signal monitoring device in server 1 can use this information to obtain the user's movement trajectory, determine the permanent location of the target cluster in the area to be detected, and facilitate the subsequent processing of signal fault monitoring.

[0042] Example 1

[0043] Figure 2 This is a flowchart illustrating a signal fault monitoring method provided in this application, as shown below. Figure 2 As shown, the method includes:

[0044] Step 201: Among the users located in the area to be monitored, select the target users whose permanent residence area is the area to be monitored to form a target user cluster;

[0045] Step 202: Obtain the signal strength of each target user in the target user cluster to determine the current signal strength of the area to be monitored;

[0046] Step 203: Based on the pre-acquired standard signal strength of the area to be monitored and the current signal strength of the area to be monitored, determine whether the network device corresponding to the area to be monitored is malfunctioning.

[0047] Specifically, the execution subject of the signal fault monitoring method provided in this application is the aforementioned signal fault monitoring device. As mentioned above, the signal fault monitoring device can be installed or carried in the aforementioned server 1.

[0048] In other words, server 1 stores a large amount of real-time operational data uploaded by base stations and terminals. The signal monitoring and management device in server 1 can read this data from server 1 and process it accordingly to obtain the real-time location information of target users in the monitored area, thereby filtering out target cluster users.

[0049] Subsequently, the signal monitoring device acquires the signal strength of each target user in the target cluster in order to determine the current signal strength of the area to be monitored. Then, it compares the signal strength with the standard signal strength of the area to be monitored in advance to determine whether a signal failure has occurred in the area to be monitored, and then determines the precise location of the failure.

[0050] Compared with existing technologies, this signal fault detection method can accurately locate the position of the signal fault, so as to deal with the network with signal fault in a timely manner.

[0051] Before executing step 201, the signal fault monitoring device also needs to acquire the historical trajectory data of each user and determine the permanent residence area of ​​each user based on the historical trajectory data of each user; wherein, the permanent residence area of ​​the user refers to the area where the user stays for more than a time threshold.

[0052] Specifically, the signal monitoring device will obtain information from the server, including information reported by the accelerometer and the three-axis gyroscope from the user's terminal devices a certain period ago, as well as satellite signal strength information. For example, a week ago, the accelerometer reported acceleration and its direction information; the three-axis gyroscope reported the magnitude and direction of the detected angular velocity. The signal monitoring device will then obtain the user's historical trajectory data based on this information.

[0053] Furthermore, the signal monitoring device first determines the initial position of each user. This initial position can be determined based on changes in the terminal's satellite signal strength. For example, if the satellite signal weakens sharply, the user has moved indoors, and at this point, the user's location is considered the initial position. Alternatively, it can be based on acceleration information from the terminal; when the acceleration is zero, the user's location is considered the initial position.

[0054] Then, the signal monitoring device establishes a rectangular coordinate system with the initial position as the origin. By performing double integration on the acceleration information reported by the terminal, the displacement of each user on the X and Y axes can be obtained. This displacement serves as the user's position coordinates. In addition, the angular velocity information in the server is used to calibrate the position coordinates of each user. By performing single integration on the angular velocity in each direction, the deflection angle of the user in the X and Y axis directions can be obtained. Then, the trigonometric cosine function is used to obtain the precise position coordinates of each user.

[0055] It should be noted that by performing double integration on the Z-axis acceleration, the displacement on the Z-axis is obtained. If this displacement value exceeds the preset building height value in the server, the user has changed floors. At this time, the previous coordinate point of this position is taken as the termination point of the user's movement trajectory.

[0056] By repeating the above steps, the signal monitoring device obtains the location coordinates of all users, and then combines them with the time information of each location point to obtain the user's historical trajectory data.

[0057] Next, the signal monitoring device determines each user's permanent residence area based on their historical trajectory data. Specifically, for each user's movement trajectory, any two coordinate points on the trajectory are selected, and the center position between these two coordinate points is calculated. Then, the distance between this center point and other coordinate points is calculated. If the distance between other coordinate points and the center point is less than a preset radius value, then the other coordinate points can be included in the pending permanent residence area. To determine the permanent residence area for each user, the time of all coordinate points in the pending permanent residence area also needs to be calculated, and it needs to be determined whether the user's stay time in the pending permanent residence area exceeds a preset time threshold in the server. If so, then the pending permanent residence area is the user's permanent residence area.

[0058] To facilitate the monitoring of signal faults, in an optional implementation, the signal fault configuration follows the above-mentioned processing method for obtaining historical trajectory data of each user to obtain the real-time location information of each user, and then matches the real-time location information of each user with the range of each permanent area. That is, if the real-time location information of a user is within the permanent area, then the user is a user in the area to be monitored.

[0059] In other words, step 201 above may specifically include: obtaining the real-time location information of each user, and determining the users located in the area to be monitored based on the real-time location information of each user. After the signal monitoring device obtains the resident users in the area to be monitored, it also needs to refer to the resident areas and filter out the users appearing in the resident areas in the area to be monitored, so as to form the target user cluster of the area to be monitored.

[0060] After the signal monitoring device filters out the resident users in the area to be monitored, step 202 is required to obtain the current signal strength of the area to be monitored by using the obtained signal strength of the target user cluster.

[0061] Specifically, the real-time signal strength of each user in the target cluster in the monitored area is statistically analyzed. For each user, the average signal strength at the location coordinates in the monitored area is calculated and used as the current signal strength of that user in the monitored area.

[0062] The real-time signal strength of the user is the signal strength at the user's location as determined by the signal monitoring device from the measurement report based on the user identification field. The measurement report data includes: cell identifier, user identifier, cell signal strength, neighboring cell signals, and time. The signaling data includes: user's call location, user identifier, and base station cell handover status.

[0063] In order to determine whether a signal fault has occurred in the area to be monitored, the signal monitoring device also needs to obtain the standard signal strength of the permanent area. In other possible implementations, the historical signal strength value of the user corresponding to the permanent area is determined according to the historical measurement report. Then, for each user, the average value of its historical signal value is calculated and used as the standard signal strength of that user in the permanent area, which is also the standard signal strength of the area to be monitored.

[0064] After obtaining the standard value of the stationary area, the signal monitoring device can determine the fault of the signal in the area to be monitored. In step 203, the signal monitoring device first determines the fluctuation of the current signal value in the area to be monitored to determine whether the signal in the area is stable. If the current signal value is stable, the difference between the signal and the standard signal strength to be monitored is calculated. Combining the stability of the signal strength in the area to be monitored and the difference, it is determined whether a fault has occurred in the area to be monitored.

[0065] Specifically, the signal monitoring device obtains the real-time movement trajectory information of each user in the target user cluster within the monitored area according to the above-described steps. It then determines whether the difference in signal strength between adjacent location coordinates falls within a preset range. If the difference is within the preset range, it indicates that the signal strength in the monitored area is relatively stable, ruling out the possibility of accidental faults. If it is within the preset range, further judgments are made. This preset range is set based on actual experience values, but this embodiment is not limited to this method.

[0066] Next, the signal monitoring device calculates the difference between the stable signal strength value to be monitored and its standard signal strength value. If the difference is within a preset range, then no signal fault has occurred in the monitored area; otherwise, a signal fault has occurred in the monitored area. The preset range is set based on actual experience, but this embodiment is not limited to this method.

[0067] If the signal monitoring device detects a signal fault, it will report the result and the users in the fault area to the network management center that manages the building. The network management center can then confirm the users' information to more accurately determine the fault and its location.

[0068] To quickly locate the fault, one could call the user, but this is not the only possible method.

[0069] This application provides a method for monitoring signal faults. By selecting target users whose permanent locations are within the monitored area to form a target user cluster, and acquiring the signal strength of each target user in the cluster to determine the current signal strength of the monitored area, the method then determines whether the network equipment corresponding to the monitored area has malfunctioned based on the pre-acquired standard signal strength and the current signal strength of the monitored area. Using the method provided in this application, by analyzing the signal in the permanent location of the target user cluster, the location of signal faults can be accurately detected, while saving manpower and material resources.

[0070] Example 2

[0071] Corresponding to the signal fault monitoring method of this application, Figure 3 This is a schematic diagram of the structure of a signal fault monitoring device provided in this application. For ease of explanation, only the parts relevant to this application are shown.

[0072] Reference Figure 3 The monitoring device for this signal fault includes:

[0073] Filtering module 10: Select target users whose permanent residence area is located in the area to be monitored from the users located in the area to be monitored to form a target user cluster;

[0074] Determining module 20: Obtain the signal strength of each target user in the target user cluster to determine the current signal strength of the area to be monitored;

[0075] Judgment module 30: Based on the pre-acquired standard signal strength of the area to be monitored and the current signal strength of the area to be monitored, determine whether the network device corresponding to the area to be monitored is malfunctioning.

[0076] Module 30 is specifically used for:

[0077] Calculate the current signal fluctuation value based on the current signal strength of the area to be monitored;

[0078] Calculate the signal strength difference based on the standard signal strength of the area to be monitored and the current signal strength of the area to be monitored;

[0079] Based on the current signal fluctuation value and the signal strength difference, it is determined whether the network device corresponding to the area to be monitored is malfunctioning.

[0080] Optionally, the signal fault monitoring device further includes: an acquisition device;

[0081] The acquisition device is specifically used for:

[0082] Obtain the real-time location information of each user;

[0083] Users located in the area to be monitored are identified based on their real-time location information.

[0084] Optionally, the following processing steps need to be performed before executing module 10:

[0085] Obtain historical trajectory data for each user;

[0086] Based on each user's historical trajectory data, determine each user's permanent residence area; wherein, the user's permanent residence area refers to the area where the user stays for more than a time threshold.

[0087] Optionally, the signal fault monitoring device further includes: a signal strength confirmation device;

[0088] The signal strength confirmation device is specifically used for:

[0089] The standard signal strength for each permanent area is determined based on the historical signal strength of the user in each permanent area.

[0090] The implementation principle of the signal fault monitoring device provided in this application is similar to that in any of the above embodiments, and will not be described in detail here.

[0091] This application provides a signal fault monitoring device. By selecting target users whose permanent locations are within the monitored area to form a target user cluster, and acquiring the signal strength of each target user in the cluster to determine the current signal strength of the monitored area, the device then determines whether the network equipment corresponding to the monitored area has malfunctioned based on the pre-acquired standard signal strength and the current signal strength of the monitored area. Using the method provided in this application, by analyzing the signal in the permanent location of the target user cluster, the location of the signal fault can be accurately detected, while saving manpower and material resources.

[0092] Example 3

[0093] Corresponding to the signal fault monitoring method provided in this application, Figure 4 This is a schematic diagram of a signal fault monitoring and management system provided in this application. For ease of explanation, only the parts relevant to this application are shown.

[0094] Reference Figure 4 The signal fault monitoring and management system includes: signal fault monitoring device 110, base station 2 and terminal 3.

[0095] The signal fault monitoring device is used to receive real-time operating data uploaded by the base station and the terminal, and to monitor the signal of the area to be monitored according to the signal fault monitoring method described in any of the aforementioned embodiments.

[0096] Example 4

[0097] The electronic device provided in this application can be used to execute the technical solutions of the above-described method embodiments. Figure 5 This is a schematic diagram of the hardware structure of the electronic device provided in this application. For ease of explanation, only the parts relevant to this application are shown.

[0098] refer to Figure 5 The diagram illustrates a structural schematic suitable for implementing an electronic device 1000 according to an embodiment of this application. The electronic device 1000 can be a terminal device. The terminal device can include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, personal digital assistants (PDAs), portable Android devices (PADs), portable media players (PMPs), and in-vehicle devices (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 5 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0099] like Figure 5 As shown, the electronic device 1000 may include a decision-making device (e.g., a central processing unit, a graphics processor, etc.) 1001, which can perform various appropriate actions and processes based on a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1009 into a random access memory (RAM) 1003. The RAM 1003 also stores various programs and data required for the operation of the electronic device 1000. The decision-making device 1001, ROM 1002, and RAM 1003 are interconnected via a bus 1004. An input / output (I / O) interface 1006 is also connected to the bus 1004.

[0100] Typically, the following devices can be connected to the I / O interface 1006: input devices 1006 including, for example, a touchscreen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 1007 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1009 including, for example, magnetic tape, hard disk, etc.; and communication devices 10010. Communication device 10010 allows electronic device 1000 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 5 An electronic device 1000 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively.

[0101] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication device 10010, or installed from storage device 1009, or installed from ROM 1002. When the computer program is executed by determination device 1001, it performs the functions defined in the methods of embodiments of this application.

[0102] It should be noted that the computer-readable medium described above in this application may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0103] In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0104] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0105] The aforementioned computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to perform the methods shown in the above embodiments.

[0106] This application provides a computer program product that can be written in one or more programming languages ​​or a combination thereof to perform the operations of this disclosure. These programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, and C++—and conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or media library. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0107] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0108] The units described in the embodiments of this application can be implemented in software or in hardware. The name of a unit does not necessarily limit the unit itself; for example, the first acquisition unit can also be described as "a unit that acquires at least two Internet Protocol addresses".

[0109] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

[0110] In the context of this application, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0111] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application 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 application are indicated by the following claims.

[0112] It should be understood that this application is not limited to the precise structure 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 application is limited only by the appended claims.

Claims

1. A method for monitoring signal faults, characterized in that, include: The system acquires historical trajectory data for each user to determine the user's permanent residence area based on this data. Specifically, it includes: selecting any two movement trajectory coordinate points from each user's historical trajectory data; calculating the center position between these two points; calculating the distance between the center position and other coordinate points; if the distance is less than a preset radius, then including the other coordinate points in the user's pending permanent residence area; acquiring the time of each coordinate point in the user's pending permanent residence area; and determining the pending permanent residence area as the user's permanent residence area when the user's dwell time exceeds a preset time threshold. Among the users located in the area to be monitored, select the users who reside in the area to be monitored to form a target user cluster; Obtain the signal strength of each target user in the target user cluster to determine the current signal strength of the area to be monitored; Based on the pre-acquired standard signal strength of the area to be monitored and the current signal strength of the area to be monitored, it is determined whether the network device corresponding to the area to be monitored is malfunctioning.

2. The signal fault monitoring method according to claim 1, characterized in that, The step of determining whether the network device corresponding to the monitored area is malfunctioning based on the pre-acquired standard signal strength of the monitored area and the current signal strength of the monitored area includes: Calculate the current signal fluctuation value based on the current signal strength of the area to be monitored; Calculate the signal strength difference based on the standard signal strength of the area to be monitored and the current signal strength of the area to be monitored; Based on the current signal fluctuation value and the signal strength difference, it is determined whether the network device corresponding to the area to be monitored is malfunctioning.

3. The signal fault monitoring method according to claim 1, characterized in that, Also includes: Obtain the real-time location information of each user; Users located in the area to be monitored are identified based on their real-time location information.

4. The method for monitoring signal faults according to any one of claims 1-3, characterized in that, Also includes: The standard signal strength for each permanent area is determined based on the historical signal strength of the user in each permanent area.

5. A monitoring and management device for signal faults, characterized in that, Used to perform the signal fault monitoring method as described in any one of claims 1-4 The signal fault monitoring and management device includes: Filtering module: Among users located in the area to be monitored, select target users whose permanent residence area is the area to be monitored to form a target user cluster; Determination module: Obtains the signal strength of each target user in the target user cluster to determine the current signal strength of the area to be monitored; Judgment module: Based on the pre-acquired standard signal strength of the area to be monitored and the current signal strength of the area to be monitored, determine whether the network device corresponding to the area to be monitored is malfunctioning.

6. A monitoring and management system for signal faults, comprising: Signal fault monitoring devices, base stations and terminals; The signal fault monitoring device is used to receive real-time operating data uploaded by the base station and the terminal, and to monitor the signal of the area to be monitored according to the signal fault monitoring method according to any one of claims 1-4.

7. An electronic device, comprising: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the signal fault monitoring method as described in any one of claims 1-4.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the signal fault monitoring method as described in any one of claims 1-4.

9. A computer program product comprising a computer program that, when executed by a processor, implements the method for monitoring signal faults according to any one of claims 1-4.

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