Base station service identification method and device, electronic equipment and storage medium
Patent Information
- Application Number
- CN202611135051.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-29
- Publication Date
- 2026-11-03
AI Technical Summary
[0005]本申请的目的在于至少提供一种基站退服识别方法、装置、电子设备及存储介质，至少可以解决基站退服检测的稳定性、可靠性差的问题，至少可以达到提高基站退服检测的稳定性、可靠性的效果
[0007]通过引入连续无心跳时长超过第一阈值、且各小区连续无用户时长均超过第二阈值作为判定条件，避免了基站主动上报退服告警数据，而是实现了基站退服的主动检测，使得基站退服检测不再受限于基站的状态，提高基站退服检测的稳定性、可靠性，避免了漏报问题的产生。
Smart Images
Figure CN123035490A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of wireless communication operation and maintenance technology, and in particular to a base station outage identification method, device, electronic device and storage medium. Background Technology
[0002] Base stations are the core nodes of wireless communication networks, and their operational stability directly determines the quality of network service. Once a base station goes out of service (i.e., becomes offline), all users within its coverage area will be unable to access the network. Especially in emergency scenarios, this can cause serious communication disruptions and security incidents.
[0003] In related technologies, base station outage detection mainly relies on outage alarm data actively reported by the base station. Specifically, when a base station detects an anomaly (such as power outage, transmission link disconnection, equipment failure, etc.), it generates an outage alarm message and reports it to the network management system. Maintenance personnel then discover the outage event based on the received alarm information.
[0004] However, the method of base stations actively reporting outage alarm data is limited by the status of the base station. If the status of the base station is abnormal and it is unable to send outage alarm data, it is difficult to detect that the base station is out of service. This method has poor stability and reliability and is prone to false negatives. Summary of the Invention
[0005] The purpose of this application is to provide at least one method, device, electronic device and storage medium for identifying base station outages, which can at least solve the problem of poor stability and reliability of base station outage detection, and at least achieve the effect of improving the stability and reliability of base station outage detection.
[0006] To address the aforementioned technical problems, at least one embodiment of this application provides a base station outage identification method, comprising: acquiring heartbeat data of a base station and user count data of each cell under the base station; determining the duration of continuous no heartbeat for the base station based on the heartbeat data, and determining the duration of continuous no user for each cell based on the user count data of each cell; and determining that the base station is in an outage state when the duration of continuous no heartbeat exceeds a first threshold and the duration of continuous no user for each cell exceeds a second threshold.
[0007] By introducing the condition that the duration of continuous no heartbeat exceeds the first threshold and the duration of continuous no user in each cell exceeds the second threshold, the base station avoids actively reporting outage alarm data and instead realizes active detection of base station outage. This makes base station outage detection no longer limited by the state of the base station, improves the stability and reliability of base station outage detection, and avoids the occurrence of missed reports.
[0008] Furthermore, by introducing the condition that the duration of continuous no heartbeat exceeds the first threshold and the duration of continuous no user in each cell exceeds the second threshold, the base station is only judged to be out of service when it has no heartbeat and confirms that there are no users in all its cells. This eliminates the technical defect of misjudging idle and normally working base stations as out of service.
[0009] Furthermore, since base stations actively report outage alarm information, they also need to be connected to the monitoring system, which can easily create alarm blind spots for those not connected to the monitoring system. However, the active detection method for base station outages does not rely on any outage alarm data and can independently complete the outage determination using only heartbeat data and user count data, providing a reliable detection method for alarm blind spots.
[0010] In some optional embodiments, obtaining the heartbeat data of the base station and the user count data of each cell under the base station includes: obtaining the heartbeat data of the base station communicating with the core network, and obtaining the user count data of multiple cells, the multiple cells including each cell under the base station; determining each cell under the base station, and determining the user count data of each cell under the base station from the user count data of the multiple cells.
[0011] Since the user data collected by the core network side is naturally at the cell level, and the same aggregation link may contain cell data from different base stations, the solution ensures the integrity of the data source and the accuracy of the target data by first obtaining user data from multiple cells and then accurately filtering each cell under the base station according to the base station affiliation.
[0012] In some optional embodiments, the base station is a 4G base station or a 5G base station, and the step of obtaining user data of multiple cells includes: when the base station is a 4G base station, obtaining first near real-time data accessed through the S1-MME interface, and determining the user data of the multiple cells based on the first near real-time data; when the base station is a 5G base station, obtaining second near real-time data accessed through the N1 and N2 interfaces, and determining the user data of the multiple cells based on the second near real-time data.
[0013] In some optional embodiments, the method further includes: obtaining a list of base stations that have been determined to be out of service; real-time detection of heartbeat data of each base station in the base station list and / or user count data of each cell under the base station; in response to the heartbeat data of any base station in the base station list indicating that the heartbeat of the base station has reappeared, or the user count data of any cell under the base station indicating that the number of users is greater than zero, determining that the base station has returned to normal status, and removing the base station from the base station list.
[0014] After a base station goes out of service, maintenance personnel need to know not only when it went out of service but also when it will be restored. By continuously monitoring the heartbeat and user count of the out-of-service base station, the system can immediately determine that the base station has returned to normal operation once a heartbeat or user is detected, ensuring that no restoration is missed. Furthermore, by promptly removing restored base stations from the out-of-service list, the system ensures targeted monitoring and efficient utilization of computing resources.
[0015] In some optional embodiments, the method further includes: recording the time when the base station is determined to be in an out-of-service state and the time when it is determined to be restored to a normal state, to obtain the out-of-service time and the restoration time; and outputting the out-of-service time and restoration time corresponding to the base station to the presentation terminal for visualization.
[0016] In some optional embodiments, the first threshold is greater than the maximum no-user reporting time, which is the time during which the base station is allowed not to report heartbeats when it is in a normal state and there are no users; the second threshold is not less than the first threshold.
[0017] At least one embodiment of this application also provides a base station outage identification device, characterized in that it includes: an acquisition module, used to acquire heartbeat data of the base station and user number data of each cell under the base station; a determination module, used to determine the continuous no-heartbeat duration of the base station based on the heartbeat data, and to determine the continuous no-user duration of each cell based on the user number data of each cell; and a judgment module, used to determine that the base station is in an outage state when the continuous no-heartbeat duration exceeds a first threshold and the continuous no-user duration of each cell exceeds a second threshold.
[0018] In some optional embodiments, the acquisition module is used to acquire heartbeat data of communication between the base station and the core network, and to acquire user number data of multiple cells, the multiple cells including each cell under the base station; to determine each cell under the base station, and to determine the user number data of each cell under the base station from the user number data of the multiple cells.
[0019] In some optional embodiments, the base station is a 4G base station or a 5G base station. The acquisition module is used to acquire first near real-time data accessed via the S1-MME interface when the base station is a 4G base station, and determine the number of users in the multiple cells based on the first near real-time data; when the base station is a 5G base station, acquire second near real-time data accessed via the N1 and N2 interfaces, and determine the number of users in the multiple cells based on the second near real-time data.
[0020] In some optional embodiments, the acquisition module is further configured to acquire a list of base stations that have been determined to be out of service; the monitoring module is configured to detect in real time the heartbeat data of each base station in the base station list and / or the number of users in each cell under the base station; the determination module is further configured to determine that any base station has returned to normal status and remove any base station from the base station list in response to the heartbeat data of any base station in the base station list indicating that the heartbeat of any base station has reappeared, or the number of users in any cell under any base station indicating that the number of users is greater than zero.
[0021] In some optional embodiments, it further includes: a recording and display module, used to record the time when the base station is determined to be in an out-of-service state and the time when it is determined to be restored to normal state, to obtain the out-of-service time and the restoration time; and to output the out-of-service time and restoration time corresponding to the base station to the presentation terminal for visualization display.
[0022] At least one embodiment of this application also provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the base station outage identification method described above.
[0023] At least one embodiment of this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the base station outage identification method described above.
[0024] At least one embodiment of this application also provides a computer program product, including a computer program that, when executed by a processor, implements the base station outage identification method described above. Attached Figure Description
[0025] One or more embodiments are illustrated by way of example with reference to the accompanying drawings, and these illustrative descriptions do not constitute a limitation on the embodiments.
[0026] Figure 1 This is a flowchart of a base station outage identification method provided in one embodiment of this application; Figure 2 This is a flowchart illustrating the process of a base station recovering from out-of-service status, provided in one embodiment of this application. Figure 3 This is a schematic diagram of a base station outage identification device provided in another embodiment of this application. Detailed Implementation
[0027] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided to make this application more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
[0028] Furthermore, the accompanying drawings are merely illustrative of this application and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.
[0029] Example 1: The base station outage identification method of this embodiment can be applied to electronic devices with communication, computing, and data storage capabilities. Its specific process can be as follows: Figure 1 As shown, it includes: S101-S103.
[0030] S101, obtain the heartbeat data of the base station and the number of users in each cell under the base station.
[0031] The heartbeat data of the base station includes heartbeat data from communication between the base station and the core network. The user count data of each cell is used to indicate the number of devices (such as mobile phones) that have accessed the communication network through the cell and are currently in a connected state.
[0032] Each cell under a base station refers to the individual cells belonging to that base station. Typically, one base station serves one or more cells.
[0033] In some examples, obtaining the heartbeat data of a base station and the number of users in each cell under that base station may include: obtaining the heartbeat data of the base station communicating with the core network, and obtaining the number of users in multiple cells, including each cell under that base station; determining each cell under that base station, and determining the number of users in each cell under that base station from the number of users in the multiple cells.
[0034] In some examples, obtaining the heartbeat data of the base station's communication with the core network may include: using DPI (Deep Packet Inspection) technology to collect the heartbeat data of the base station's communication with the core network to obtain the raw heartbeat data; and preprocessing the raw heartbeat data to obtain the heartbeat data.
[0035] Preprocessing of the raw heartbeat data may include cleaning and deduplication.
[0036] In some examples, the base station is a 4G base station or a 5G base station. Acquiring user count data for multiple cells may include: when the base station is a 4G base station, acquiring first near real-time data accessed via the S1-MME (interface between the 4G base station and the MME (Mobility Management Entity)) interface, and determining the user count data for the multiple cells based on the first near real-time data; when the base station is a 5G base station, acquiring second near real-time data accessed via the N1 and N2 interfaces, and determining the user count data for the multiple cells based on the second near real-time data.
[0037] In some cases, DPI technology can be used to acquire data whether it is accessed via the S1-MME interface or via the N1 and N2 interfaces.
[0038] The first near real-time data of the S1-MME interface is mainly signaling data, which does not directly contain service content, but includes information needed to infer the number of users in the cell. The S1-MME is the control plane interface between the base station (eNB) and the mobility management entity (MME) in the core network of an LTE (4G) network. The signaling data transmitted through the S1-MME interface is mainly used for mobility management, session establishment, etc.
[0039] In some examples, determining the number of users in the multiple cells based on the first near real-time data may include: parsing key events from the first near real-time data, such as a user initiating a service (service request) or ending a service (releasing a connection); maintaining a counter for each cell, incrementing the counter by 1 when a user initiates a service and decrementing the counter by 1 when a user ends a service, thereby determining the number of users in the cell based on the reading of the counter.
[0040] In some examples, determining the number of users in the multiple cells based on the second near real-time data may include: parsing key events from the second near real-time data, such as a user initiating a service (service request) or ending a service (connection release); maintaining a counter for each cell, incrementing the counter by 1 when a user initiates a service and decrementing the counter by 1 when a user ends a service, thereby determining the number of users in the cell based on the reading of the counter.
[0041] These multiple cells are all the cells under the base station connected to the core network entity (MME for LTE network, AMF (Access and Mobility Management Function) for 5G network).
[0042] Based on the correspondence between base stations and cells, each cell under a base station can be determined.
[0043] S102, determine the duration of continuous no heartbeat for the base station based on the heartbeat data, and determine the duration of continuous no users for each cell based on the number of users in each cell.
[0044] S103, in response to the continuous heartbeat-free duration exceeding the first threshold and the continuous user-free duration of each cell exceeding the second threshold, the base station is determined to be in an out-of-service state.
[0045] The rules for base stations to report heartbeat data during communication with the core network are as follows: (1) When there are no users for a set time (e.g., 10 minutes) under normal base station operation, report heartbeat; (2) When there are users under a normally functioning base station, heartbeat is not reported; (3) When the base station is out of service, the heartbeat will not be reported.
[0046] While heartbeat data is commonly used to determine base station malfunctions, normally functioning base stations don't actually report heartbeats even when users are connected to them. Simply relying on heartbeat data to detect base station outages is inaccurate and prone to false alarms. However, the presence of users connected to a base station isn't directly obtainable data; it requires processing to determine the number of users in each cell, which is then used to assess base station outage status. Therefore, adding the criterion of "continuous periods without users in each cell exceeding a second threshold" to determine base station outages, in addition to heartbeat data, requires creative thinking.
[0047] In some cases, the first threshold is greater than the maximum no-user reporting time, which is the time during which the base station is allowed not to report heartbeats when it is in a normal state and there are no users (i.e., the aforementioned preset time (e.g., 10 minutes)); the second threshold is not less than the first threshold.
[0048] By introducing the condition that the duration of continuous no heartbeat exceeds the first threshold and the duration of continuous no user in each cell exceeds the second threshold, the base station avoids actively reporting outage alarm data and instead realizes active detection of base station outage. This makes base station outage detection no longer limited by the state of the base station, improves the stability and reliability of base station outage detection, and avoids the occurrence of missed reports.
[0049] Furthermore, by introducing the condition that the duration of continuous no heartbeat exceeds the first threshold and the duration of continuous no user in each cell exceeds the second threshold, the base station is only judged to be out of service when it has no heartbeat and confirms that there are no users in all its cells. This eliminates the technical defect of misjudging idle and normally working base stations as out of service.
[0050] Furthermore, since base stations actively report outage alarm information, they also need to be connected to the monitoring system, which can easily create alarm blind spots for those not connected to the monitoring system. However, the active detection method for base station outages does not rely on any outage alarm data and can independently complete the outage determination using only heartbeat data and user count data, providing a reliable detection method for alarm blind spots.
[0051] In some cases, it also includes the process of a base station recovering from out of service, such as... Figure 2 As shown, it includes: S201-S203.
[0052] S201, Obtain the list of base stations that have been determined to be out of service.
[0053] In some examples, electronic devices using the present invention maintain a list of base stations for real-time updating of records of base stations determined to be out of service.
[0054] S202, Real-time monitoring of heartbeat data of each base station in the base station list and / or user count data of each cell under the base station.
[0055] S203, in response to the heartbeat data of any base station in the base station list indicating that the heartbeat of any base station has reappeared, or the user count data of any cell under any base station indicating that the number of users is greater than zero, it is determined that any base station has returned to normal status, and the base station is removed from the base station list.
[0056] After a base station goes out of service, maintenance personnel need to know not only when it went out of service but also when it will be restored. By continuously monitoring the heartbeat and user count of the out-of-service base station, the system can immediately determine that the base station has returned to normal operation once a heartbeat or user is detected, ensuring that no restoration is missed. Furthermore, by promptly removing restored base stations from the out-of-service list, the system ensures targeted monitoring and efficient utilization of computing resources.
[0057] In some examples, this also includes: recording the time when the base station is determined to be out of service and the time when it is determined to be back to normal, thus obtaining the outage time and recovery time; and outputting the corresponding outage time and recovery time of the base station to the presentation terminal for visualization.
[0058] In some cases, the verification results of 5G alarm data and the integrity verification results of provincial-level alarm data can also be output simultaneously.
[0059] Example 2: Another embodiment of this application relates to a base station outage identification device. The implementation details of this embodiment's base station outage identification device are described below. The following implementation details are provided for ease of understanding and are not essential for implementing this solution. A schematic diagram of this embodiment's base station outage identification device can be seen as follows: Figure 3 As shown, it includes: an acquisition module 31, used to acquire the heartbeat data of the base station and the number of users in each cell under the base station; a determination module 32, used to determine the duration of continuous no heartbeat for the base station based on the heartbeat data, and to determine the duration of continuous no users in each cell based on the number of users in each cell; and a judgment module 33, used to determine that the base station is in an out-of-service state when the duration of continuous no heartbeat exceeds a first threshold and the duration of continuous no users in each cell exceeds a second threshold.
[0060] In some optional embodiments, the acquisition module 31 is used to acquire heartbeat data of communication between the base station and the core network, and to acquire user number data of multiple cells, including each cell under the base station; to determine each cell under the base station, and to determine the user number data of each cell under the base station from the user number data of the multiple cells.
[0061] In some optional embodiments, the base station is a 4G base station or a 5G base station. The acquisition module 31 is used to acquire first near real-time data accessed through the S1-MME interface when the base station is a 4G base station, and determine the number of users in the multiple cells based on the first near real-time data; when the base station is a 5G base station, acquire second near real-time data accessed through the N1 and N2 interfaces, and determine the number of users in the multiple cells based on the second near real-time data.
[0062] In some optional embodiments, the acquisition module 31 is further configured to acquire a list of base stations that have been determined to be out of service; the monitoring module 34 is configured to detect in real time the heartbeat data of each base station in the base station list and / or the number of users in each cell under the base station; the determination module 33 is further configured to determine that any base station has returned to normal status and remove any base station from the base station list in response to the heartbeat data of any base station in the base station list indicating that the heartbeat of any base station has reappeared, or the number of users in any cell under any base station indicating that the number of users is greater than zero.
[0063] In some optional embodiments, it further includes: a recording and display module, used to record the time when the base station is determined to be in an out-of-service state and the time when it is determined to be restored to normal state, to obtain the out-of-service time and the restoration time; and to output the out-of-service time and restoration time corresponding to the base station to the presentation terminal for visualization display.
[0064] By introducing the condition that the duration of continuous no heartbeat exceeds the first threshold and the duration of continuous no user in each cell exceeds the second threshold, the base station avoids actively reporting outage alarm data and instead realizes active detection of base station outage. This makes base station outage detection no longer limited by the state of the base station, improves the stability and reliability of base station outage detection, and avoids the occurrence of missed reports.
[0065] Furthermore, by introducing the condition that the duration of continuous no heartbeat exceeds the first threshold and the duration of continuous no user in each cell exceeds the second threshold, the base station is only judged to be out of service when it has no heartbeat and confirms that there are no users in all its cells. This eliminates the technical defect of misjudging idle and normally working base stations as out of service.
[0066] Furthermore, since base stations actively report outage alarm information, they also need to be connected to the monitoring system, which can easily create alarm blind spots for those not connected to the monitoring system. However, the active detection method for base station outages does not rely on any outage alarm data and can independently complete the outage determination using only heartbeat data and user count data, providing a reliable detection method for alarm blind spots.
[0067] It is worth mentioning that all modules involved in this embodiment are logical modules. In practical applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. Furthermore, to highlight the innovative aspects of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed in this application; however, this does not mean that other units are absent in this embodiment.
[0068] Example 3: Another embodiment of this application relates to an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the base station outage identification method in the above embodiments.
[0069] The memory and processor are connected via a bus, which can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors and memories. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and will not be described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by the processor is transmitted over the wireless medium via an antenna, which further receives data and transmits it to the processor.
[0070] The processor manages the bus and general processing, and also provides various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory is used to store data used by the processor during operation.
[0071] Example 4: Another embodiment of this application relates to a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the method embodiments described above.
[0072] That is, those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0073] Example 5: Another embodiment of this application relates to a computer program product, including a computer program. When executed by a processor, the computer program implements the method embodiments described above.
[0074] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to the embodiments of this application, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.
[0075] Furthermore, although the steps of the method in this application are described in a specific order in the accompanying drawings, this does not require or imply that the steps must be performed in that specific order, or that all the steps shown must be performed to achieve the desired result. Additional or alternative steps may be omitted, multiple steps may be combined into one step, and / or a step may be broken down into multiple steps.
[0076] From the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware.
[0077] Those skilled in the art will understand that the above embodiments are specific embodiments for implementing this application, and in practical applications, various changes can be made to them in form and detail without departing from the spirit and scope of this application.
Claims
1. A method for identifying base station outages, characterized in that, include: Acquire the heartbeat data of the base station and the number of users in each cell under the base station; The duration of continuous no heartbeat at the base station is determined based on the heartbeat data, and the duration of continuous no users in each cell is determined based on the number of users in each cell. When the duration of continuous no heartbeat exceeds a first threshold and the duration of continuous no user in each cell exceeds a second threshold, the base station is determined to be in an out-of-service state.
2. The method according to claim 1, characterized in that, The acquisition of the base station's heartbeat data and the number of users in each cell under the base station includes: The system acquires heartbeat data of communication between the base station and the core network, and acquires user count data of multiple cells, wherein the multiple cells include each cell under the base station; Each cell under the base station is identified, and the number of users in each cell under the base station is determined from the user count data of the multiple cells.
3. The method according to claim 2, characterized in that, The base station is a 4G base station or a 5G base station, and the acquisition of user data from multiple cells includes: When the base station is a 4G base station, first near real-time data accessed via the S1-MME interface is obtained, and the number of users in the multiple cells is determined based on the first near real-time data. When the base station is a 5G base station, second near real-time data accessed via N1 and N2 interfaces is obtained, and the number of users in the multiple cells is determined based on the second near real-time data.
4. The method according to any one of claims 1-3, characterized in that, Also includes: Get the list of base stations that have been determined to be out of service; Real-time monitoring of heartbeat data of each base station in the base station list and / or user count data of each cell under each base station; If the heartbeat data of any base station in the base station list indicates that the heartbeat of any base station has reappeared, or if the number of users in any cell under any base station indicates that the number of users is greater than zero, it is determined that any base station has returned to normal and is removed from the base station list.
5. The method according to claim 4, characterized in that, Also includes: Record the time when the base station is determined to be out of service and the time when it is determined to be back to normal, and obtain the outage time and recovery time; The outage and recovery times corresponding to the base stations are output to the display terminal for visualization.
6. The method according to claim 1, characterized in that, The first threshold is greater than the maximum no-user reporting time, which is the time during which the base station is allowed not to report heartbeats when it is in normal state and there are no users. The second threshold is not less than the first threshold.
7. A base station outage identification device, characterized in that, include: The acquisition module is used to acquire the heartbeat data of the base station and the number of users in each cell under the base station; The determination module is used to determine the duration of continuous no heartbeat for the base station based on the heartbeat data, and to determine the duration of continuous no users for each cell based on the number of users in each cell. The determination module is used to determine that the base station is in an out-of-service state when the continuous no-heartbeat duration exceeds a first threshold and the continuous no-user duration of each cell exceeds a second threshold.
8. An electronic 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, which, when executed by the at least one processor, enables the at least one processor to perform the base station outage identification method as described in any one of claims 1 to 6.
9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the base station outage identification method according to any one of claims 1 to 6.
10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the base station outage identification method according to any one of claims 1 to 6.