Cellular communication module state monitoring method, device, equipment and medium

Abstract

The invention discloses a cellular communication module state monitoring method and device, equipment and a medium, and relates to the field of data analysis. The cellular communication module state monitoring method comprises the following steps: continuously obtaining working state parameters of a communication module in each sampling period; performing abnormal state analysis on the working state parameters of all the sampling periods in the window length of the sliding window in response to the condition that the sliding window meets the analysis condition; and in response to the abnormal state of the communication module, generating abnormal state alarm information based on an abnormal state analysis result. By means of the mode, the operation state of the cellular communication module can be monitored, abnormity can be found in time, and an alarm is generated.

Description

Technical Field

[0001] The present application relates to the field of data analysis, and in particular to a method, device, equipment and medium for monitoring the status of a cellular communication module. Background Art

[0002] Existing IoT platforms across various industries primarily use alerts based on business deployment and manage certain terminal device functions. This limitation is that if a module function fails, data upload and download will not be properly executed, potentially leading to business disconnection and uncontrollable consequences. If a communication module failure within a terminal device causes business data to exceed warning levels and be unable to be reported, the failure of management to promptly notify and take preventive measures could lead to catastrophic consequences. Summary of the Invention

[0003] The present application mainly provides a cellular communication module status monitoring method, device, equipment and medium to solve the problem of lack of monitoring of the operating status of the communication module.

[0004] In order to solve the above technical problems, a technical solution adopted in the present application is: to provide a cellular communication module status monitoring method, including: continuously obtaining the working status parameters of the communication module in each sampling period; in response to the sliding window meeting the analysis conditions, performing abnormal status analysis on the working status parameters of all sampling periods within the window length of the sliding window; in response to the existence of an abnormal state of the communication module, generating abnormal state alarm information based on the results of the abnormal state analysis.

[0005] In some embodiments, the abnormal state analysis of the working state parameters of all sampling periods within the window length of the sliding window includes: judging whether the communication module is in an abnormal state based on the working state parameters of all sampling periods; and dividing the severity level of the abnormal state according to the working state parameter value related to the current abnormal state of the communication module.

[0006] In some embodiments, the determining whether the communication module is in an abnormal state based on the working status parameters of all sampling periods includes: determining whether the communication module is in an abnormal state of poor antenna contact, poor SIM contact, poor network coverage, large network interference, high CPU usage, insufficient running memory, insufficient storage space, high core temperature, high working voltage, low working voltage or frequent restarts based on the working status parameters of all sampling periods.

[0007] In some embodiments, continuously acquiring the working status parameters of the communication module in each sampling period includes: acquiring the working status parameters of the communication module in each sampling period, and classifying and storing the working status parameter values ​​according to corresponding working status parameter categories.

[0008] In some embodiments, the continuously obtaining working status parameters of the communication module in each sampling period includes: continuously obtaining the signal-to-interference-and-noise ratio, receiving power, CPU usage, running memory usage, storage space usage, SIM missing times, antenna missing times, restart times, core temperature and working voltage of the communication module in each sampling period.

[0009] In some embodiments, responding to the sliding window satisfying an analysis condition includes: responding to the sliding window being triggered, or the sliding window reaching a preset analysis period.

[0010] In some embodiments, the abnormal status alarm information includes abnormal function type, severity level, alarm time, and specific abnormal value.

[0011] To solve the above problems, the present application also provides a cellular communication module status monitoring device, including: an acquisition module, used to continuously obtain the working status parameters of the communication module in each sampling period; an analysis module, used to perform abnormal status analysis on the working status parameters of all sampling periods within the window length of the sliding window in response to the sliding window meeting the analysis conditions; an alarm module, used to generate abnormal status alarm information based on the results of the abnormal status analysis in response to the existence of an abnormal state of the communication module.

[0012] The present application also provides a computer device, which includes: a memory and at least one processor, wherein the memory stores instructions; the at least one processor calls the instructions in the memory so that the computer device executes the cellular communication module status monitoring method as described above.

[0013] The present application also provides a computer-readable storage medium having instructions stored thereon, wherein the instructions, when executed by a processor, implement the above-mentioned cellular communication module status monitoring method.

[0014] The beneficial effects of the present application are as follows: Different from the prior art, the present application discloses a method, device, equipment and medium for monitoring the status of a cellular communication module. Continuously obtain the working status parameters of the communication module in each sampling period; in response to the sliding window meeting the analysis conditions, perform abnormal status analysis on the working status parameters of all sampling periods within the window length of the sliding window; continuously monitor the working status of the communication module, quickly identify abnormalities in the key functions of the module itself, and ensure the normal operation of various functions. In response to the abnormal state of the communication module, generate abnormal state alarm information based on the results of the abnormal state analysis to help maintenance personnel promptly discover functional abnormalities or potential faults and take corresponding measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. Those skilled in the art can also derive other drawings based on these drawings without inventive work, among which: Figure 1 This is a flow chart of an embodiment of a method for monitoring the status of a cellular communication module provided by the present application; Figure 2 Yes Figure 1 The flowchart of the embodiment of step 20 of the method is shown; Figure 3 1 is a schematic structural diagram of an embodiment of a cellular communication module status monitoring device according to an embodiment of the present invention; Figure 4 Schematic diagram of the structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0017] The terms "first", "second" and "third" in the embodiments of the present application are only used for descriptive purposes and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second" and "third" may explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally also include steps or units that are not listed, or may optionally also include other steps or units inherent to these processes, methods, products or devices.

[0018] References to "embodiments" herein mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0019] See Figure 1 , Figure 1 : is a flow chart of a cellular communication module status monitoring method provided by the present application, and the cellular communication module status monitoring method includes the following steps: 10: Continuously obtain the working status parameters of the communication module in each sampling period.

[0020] During a preset sampling period, the communication module reports the operating status parameters generated during the sampling period to the system, including the data continuously generated by the communication module during the sampling period and the data collected instantaneously at the end of the period.

[0021] Cellular communication modules are key components in mobile communication networks, responsible for data transmission and signal processing. Their status directly affects communication quality and system stability.

[0022] Furthermore, the signal-to-interference-and-noise ratio, received power, CPU usage, running memory usage, storage space usage, number of SIM card loss, number of antenna loss, number of restarts, core temperature, and operating voltage of the communication module in each sampling period are continuously obtained.

[0023] Specifically, the Signal-to-Interference plus Noise Ratio (SINR), or the ratio of signal to interference plus noise (SINR), indicates the quality of the current received network and affects the data transmission and reception rate.

[0024] Received power, Reference Signal Received Power, RSRP reference signal received power, hereinafter referred to as received power, indicates the current network coverage strength and directly affects the availability of the network.

[0025] Sustained high CPU usage indicates that there are too many software tasks to be processed, which can easily lead to slowness, lag, etc.

[0026] The running memory usage rate is used to indicate the degree of memory consumption during system operation. When the memory is insufficient, the system is prone to unstable phenomena such as freezing, crashing, and restarting.

[0027] The higher the storage space usage rate, the less space is available during system operation. When insufficient space is encountered during operation, such as uploading and downloading, it may cause system freezes, freezes, restarts, and other instabilities.

[0028] SIM is an indispensable component for cellular network access. When the connection is poor and the SIM card cannot be read, it is considered as a missing SIM card.

[0029] The antenna is a key component for RF performance. If it becomes loose or has poor contact, it cannot be read and is missing, which is recorded as one antenna missing time.

[0030] The number of restarts is used to monitor the stability of system operation. Continuous and frequent restarts can easily cause module damage.

[0031] Sustained high temperatures can affect system performance and stability and even damage internal components or structures. Continuous monitoring of core temperature can provide timely warnings.

[0032] Sustained high or low voltage can affect system performance and stability and even damage internal components or structures. Continuous monitoring of operating voltage can provide timely warnings.

[0033] The working status parameters collected instantaneously at the end of each cycle include signal-to-interference-and-noise ratio, receiving power, CPU usage, running memory usage, storage space usage, core temperature, working voltage, etc.

[0034] The operating status parameters accumulated continuously in each cycle include the number of SIM missing times, the number of antenna missing times, and the number of system restarts.

[0035] Optionally, in response to the absence of working status parameters collected in the current cycle, the missing parameters are supplemented and collected in the next sampling cycle to ensure data integrity.

[0036] If the communication module fails to upload its operating status parameters in a timely manner due to network disconnection or other reasons, the communication module will store the unreported operating status parameters locally and report them after the network is restored or the fault is repaired. The reported operating status parameters will be reintegrated into the system database to ensure the continuity and accuracy of the monitoring data.

[0037] Furthermore, the working status parameters of the communication module in each sampling period are obtained, and the working status parameter values ​​are classified and stored according to the corresponding working status parameter categories.

[0038] After obtaining various working status parameters reported by the communication module, data analysis is performed according to the working status parameter category to which each working status parameter value belongs. The analysis results are classified and stored in the database of the corresponding working status parameter category for sliding window analysis.

[0039] Specifically, we define working status parameter categories (such as CPU usage, running memory usage, and storage space usage) and establish structured data templates. We use a microcontroller to parse raw data packets, extract key parameters, and label and classify them. We use a time series database to store timestamped parameter data and support the creation of independent storage partitions by category.

[0040] 20: In response to the sliding window satisfying the analysis condition, performing abnormal state analysis on the working state parameters of all sampling periods within the window length of the sliding window.

[0041] When the preset sliding window analysis conditions are met, the sliding window analysis is immediately triggered. The sliding window presets the window size and sliding step size. The window size indicates the number of sampling points included in each sliding window analysis cycle, while the sliding step size determines the number of sampling points covered by each window movement.

[0042] For example, if the sliding window length is 7 days and the step length is 1 day, it means that each time the window slides forward, the data of the earliest day is discarded and the data of the latest day is included in the analysis, and each analysis covers the data of the past 7 days.

[0043] A sliding window analyzes continuous data over a period of time, filtering out occasional abnormal status values ​​and effectively screening for degradation or even deterioration of functionality, promptly identifying and reporting potential performance issues. The sliding window analysis results are fed back to the maintenance system, triggering early warnings or automatic adjustments to ensure stable operation of the communication module. Furthermore, historical data analysis can be used to optimize sliding window parameters, improve analysis accuracy, and reduce false positives.

[0044] Further, in response to the sliding window being triggered, or the sliding window reaching a preset analysis period.

[0045] The sliding window analysis frequency can be configured as a trigger mode or a periodic mode. The trigger mode automatically starts running after certain status data is entered into the table, while the periodic mode runs according to the configured interval.

[0046] Sliding window periodic analysis is automatically executed according to the cycle time, and a sliding window analysis is performed every time the preset analysis period is reached. Periodic analysis ensures that even when data updates are infrequent, the system status can be regularly checked to ensure the efficient operation of the communication module.

[0047] The sliding window trigger analysis mechanism analyzes the data within the window in response to an external or internal trigger signal.

[0048] See Figure 2 , step 20 further comprises the following steps: 21: Determine whether the communication module is in an abnormal state based on the working status parameters of all sampling periods.

[0049] The working status parameters in the window are analyzed in the stored data to determine whether the communication module is in an abnormal state.

[0050] Furthermore, judging whether the communication module is in an abnormal state based on the working state parameters of all sampling periods includes: Based on the working status parameters of all sampling periods, determine whether the communication module has abnormal conditions such as poor antenna contact, poor SIM contact, poor network coverage, severe network interference, high CPU usage, insufficient running memory, insufficient storage space, high core temperature, high operating voltage, low operating voltage, or frequent restarts.

[0051] The parameter values ​​corresponding to each function in the working status parameters are compared against a set threshold. If a parameter value exceeds the preset threshold, the corresponding function is considered to be in an abnormal state. This method can accurately locate the problem and take appropriate maintenance measures. For example, if CPU usage is high, it is necessary to check system processes and optimize resource allocation; if storage space is insufficient, it is necessary to consider clearing unnecessary files or upgrading storage devices.

[0052] 22: Classify the severity of abnormal status based on the working status parameter values ​​related to the current abnormal status of the communication module.

[0053] Specifically, poor antenna contact is determined by comparing the cumulative number of antenna loss events with a preset threshold. If the cumulative number of antenna loss events is between a first threshold (e.g., 1) and a second threshold (e.g., 2), poor antenna contact is determined. If the cumulative number of antenna loss events exceeds the second threshold, poor antenna contact is determined.

[0054] For poor SIM contact, similar logic judgment is used as for poor antenna contact, and the severity of the poor contact is determined by the accumulation of the number of SIM missing times.

[0055] Poor network coverage is determined by comparing the cumulative number of times the received power (RSRP) falls below the threshold for signal strength impact (e.g., -115dBm) to the total number of network coverage reports against a preset threshold. If the signal strength is between the first threshold (e.g., 10%) and the second threshold (e.g., 30%), network coverage is considered to be poor; if it falls below the second threshold, coverage is considered severely poor. Network interference is assessed by the frequency of abnormal signals; higher frequencies indicate more severe interference.

[0056] The determination of severe network interference is based on the ratio of the number of times the signal-to-interference-plus-noise ratio (SINR) is lower than the threshold used for signal interference impact (e.g., 3dB) to the total number of reports. If the ratio is between the preset first and second ratio thresholds, it is considered mild interference; if it is greater than the second ratio threshold, it is considered severe interference.

[0057] High CPU usage is determined based on the ratio of the number of times the CPU usage exceeds the preset high usage threshold (such as 90%) to the total number of collection times. If the ratio is between the preset first ratio threshold (such as 70%) and the second ratio threshold (such as 90%), the CPU usage is considered high. If it exceeds the second ratio threshold, the CPU usage is considered very high.

[0058] The judgment of insufficient running memory is based on the ratio of the cumulative number of times the system running memory usage exceeds the safety threshold of the system running memory usage (such as 90%) to the total number of collection times. If it is between the first ratio threshold and the second ratio threshold, it is considered that the memory usage is tight; if it exceeds the second ratio threshold, it indicates that the running memory is seriously insufficient.

[0059] Insufficient storage space is determined based on the ratio of the cumulative number of times the storage space usage exceeds the warning threshold (such as 90%) to the total number of collections. If the ratio is between the first and second thresholds, the storage space is considered to be insufficient; if it exceeds the second threshold, the storage space is seriously insufficient.

[0060] High core temperature is determined based on the core temperature. If the ratio of the cumulative number of times the core temperature exceeds the maximum operating temperature (85°C) to the total number of acquisitions is between the first ratio threshold and the second ratio threshold, the temperature is considered high. If it exceeds the second ratio threshold, the core temperature is considered severely high.

[0061] The judgment of high working voltage is based on the ratio of the number of times the working voltage value exceeds the preset maximum working voltage (such as 4.2V) to the total number of acquisitions. If it is between the first ratio threshold and the second ratio threshold, it means that the voltage is too high; if it exceeds the second ratio threshold, it means that the working voltage is seriously exceeded.

[0062] The judgment of low working voltage is based on the ratio of the cumulative number of times the working voltage is lower than the preset minimum working voltage (such as 3.4V) to the total number of acquisitions. If it is between the first ratio threshold and the second ratio threshold, it is considered that the voltage is low; if it exceeds the second ratio threshold, it indicates that the working voltage is seriously insufficient.

[0063] The abnormal state of frequent restarts is accumulated based on the collected restart times. If it is between the first and second thresholds, it is considered an occasional restart problem. If it exceeds the second threshold, it indicates that the device has a major hidden danger of frequent restarts.

[0064] By setting thresholds for different functions, analyzing and grading various operating status parameters, we can provide accurate diagnosis and early warning for network system maintenance. Furthermore, by adjusting the thresholds for various operating status parameters based on real-time data, we can promptly identify and address potential issues, reduce the risk of system failures, and ensure the stable operation of the network system.

[0065] 30: In response to the abnormal state of the communication module, generate abnormal state alarm information based on the result of abnormal state analysis.

[0066] When a working status parameter value is determined to be abnormal, an alarm corresponding to the abnormality is generated based on the abnormal working status parameter value, the implemented function, and the abnormal location. All abnormal alarm information discovered in this window analysis is integrated into an alarm message and sent to relevant maintenance personnel and administrators to ensure that the abnormal situation is quickly responded to and handled.

[0067] Optionally, the abnormal status alarm information includes abnormal function type, severity level, alarm time, and specific abnormal value.

[0068] For example, the system detects that there is an abnormality of high core temperature, and the abnormality level is high. Then the alarm information generated includes: the core temperature is abnormally high, the severity level is urgent, the specific abnormal values ​​include the current temperature of 89°C, the upper threshold limit of 85°C, the core temperature change trend is an increase of 15°C within 5 minutes, and the alarm time is 2023.07.21.18.55, that is, July 21, 2023, 18:55.

[0069] Through the precise transmission of alarm information, maintenance personnel can quickly locate the root cause of the problem and take effective measures to prevent the escalation of the fault, ensuring safe and stable system operation. Detailed records of alarm information also provide important reference for subsequent fault analysis and prevention.

[0070] The above describes the cost allocation method in the embodiment of the present invention. The following describes the cost allocation device in the embodiment of the present invention. Figure 3 In one embodiment of the present invention, a cost allocation device includes: The acquisition module 401 is used to continuously acquire the working status parameters of the communication module in each sampling period.

[0071] The analysis module 402 is configured to perform abnormal state analysis on the working state parameters of all sampling periods within the window length of the sliding window in response to the sliding window satisfying the analysis condition.

[0072] The alarm module 403 is configured to generate abnormal state alarm information based on the result of abnormal state analysis in response to the abnormal state of the communication module.

[0073] above Figure 3 The characteristic feature extraction device in the embodiment of the present invention is described in detail from the perspective of modular functional entities, and the computer device in the embodiment of the present invention is described in detail from the perspective of hardware processing.

[0074] Figure 4 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. Computer device 500 may vary significantly depending on configuration or performance. It may include one or more processors (central processing units, CPUs) 510 (e.g., one or more processors), memory 520, and one or more storage media 530 (e.g., one or more mass storage devices) storing application programs 533 or data 532. Memory 520 and storage media 530 may be either transient or persistent storage. The program stored in storage medium 530 may include one or more modules (not shown), each of which may include a series of instructions operating on computer device 500. Furthermore, processor 510 may be configured to communicate with storage medium 530 to execute the series of instructions stored in storage medium 530 on computer device 500.

[0075] The computer device 500 may further include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input and output interfaces 560, and / or one or more operating systems 531, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. It will be understood by those skilled in the art that Figure 4 The illustrated computer device structure does not limit the computer device and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0076] The present invention also provides a computer device, which includes a memory and a processor. The memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the processor executes the steps of the cost allocation method in the above embodiments.

[0077] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. The computer-readable storage medium stores instructions, which, when executed on a computer, cause the computer to execute the steps of the cost allocation method.

[0078] Different from the existing technology, this application continuously performs big data analysis of the communication module through a sliding window, dynamically adjusts the resource allocation strategy, effectively filters out occasional abnormal states that have no practical significance, and quickly identifies abnormal phenomena that affect operations such as the continuous decline and deterioration of the key functions of the equipment itself, thereby accurately locating the root cause of the problem, optimizing resource allocation, improving system stability and operating efficiency, and ensuring long-term and efficient operation of the equipment. This application also specifically sets up analysis methods and abnormality assessment standards corresponding to various functions of the communication module. From the perspective of the functional realization of the communication module, it deeply analyzes the data change trend, combines real-time monitoring data, and accurately determines the type of abnormality, thereby eliminating the impact of potential accidents of various types, ensuring the safety of life and property, and effectively supporting the normal operation of the business. Through this refined management and real-time response mechanism, the present invention not only improves the reliability of equipment operation, but also greatly reduces maintenance costs, providing solid technical support for the sustainable development of the enterprise.

[0079] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0080] If the integrated unit is implemented as 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 technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0081] The above description is merely an embodiment of the present application and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for monitoring the status of a cellular communication module, characterized in that: include: Continuously obtain the working status parameters of the communication module in each sampling period; In response to the sliding window satisfying the analysis condition, performing abnormal state analysis on the working state parameters of all sampling periods within the window length of the sliding window; In response to the communication module being in an abnormal state, abnormal state alarm information is generated based on a result of the abnormal state analysis.

2. The cellular communication module status monitoring method according to claim 1, characterized in that: The performing abnormal state analysis on the working state parameters of all sampling periods within the window length of the sliding window includes: Determining whether the communication module is in an abnormal state based on the working status parameters of all sampling periods; The severity level of the abnormal state is divided according to the working state parameter value related to the current abnormal state of the communication module.

3. The cellular communication module status monitoring method according to claim 2, characterized in that: The determining whether the communication module is in an abnormal state based on the working state parameters of all sampling periods includes: Based on the working status parameters of all sampling periods, it is determined whether the communication module has abnormal conditions such as poor antenna contact, poor SIM contact, poor network coverage, large network interference, high CPU usage, insufficient running memory, insufficient storage space, high core temperature, high working voltage, low working voltage or frequent restarts.

4. The cellular communication module status monitoring method according to claim 1, characterized in that: The continuously acquiring the working status parameters of the communication module in each sampling period includes: The working state parameters of the communication module in each sampling period are obtained, and the working state parameter values ​​are classified and stored according to the corresponding working state parameter categories.

5. The cellular communication module status monitoring method according to claim 1, characterized in that: The continuously acquiring the working status parameters of the communication module in each sampling period includes: Continuously obtain the communication module's signal-to-interference-and-noise ratio, received power, CPU usage, running memory usage, storage space usage, SIM card loss count, antenna loss count, restart count, core temperature, and operating voltage at each sampling period.

6. The cellular communication module status monitoring method according to claim 1, characterized in that: The step of responding to the sliding window satisfying an analysis condition includes: In response to the sliding window being triggered, or the sliding window reaching a preset analysis period.

7. The cellular communication module status monitoring method according to claim 1, characterized in that: The abnormal status alarm information includes abnormal function type, severity level, alarm time, and specific abnormal value.

8. A cellular communication module status monitoring device, characterized in that: include: An acquisition module is used to continuously obtain the working status parameters of the communication module in each sampling period; an analysis module, configured to perform abnormal state analysis on the working state parameters of all sampling periods within a window length of the sliding window in response to the sliding window satisfying an analysis condition; The alarm module is configured to generate abnormal state alarm information based on the result of the abnormal state analysis in response to the abnormal state of the communication module.

9. A computer device, characterized in that: The computer device includes: a memory and at least one processor, wherein instructions are stored in the memory; The at least one processor calls the instructions in the memory to enable the computer device to execute the cellular communication module status monitoring method according to any one of claims 1 to 7.

10. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the cellular communication module status monitoring method according to any one of claims 1 to 7 is implemented.

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