Method, device and electronic equipment for monitoring wireless public network intercom service

Abstract

The application provides a wireless public network intercom service monitoring method, device and electronic equipment, and relates to the technical field of computer communication.The wireless public network intercom service monitoring method comprises the following steps: obtaining intercom service monitoring data corresponding to a plurality of historical periods in a target guarantee scene, obtaining an intercom service baseline based on the intercom service monitoring data corresponding to the plurality of historical periods, obtaining intercom service performance data of a current period, determining a difference value between the intercom service performance data and the intercom service baseline, and executing alarm dispatching when it is determined that the difference value meets a preset alarm rule.The application provides a wireless public network intercom service monitoring method, device and electronic equipment, and realizes monitoring of service usage.

Description

Technical Field

[0001] This invention relates to the field of computer communication technology, and in particular to a method, apparatus, and electronic device for monitoring wireless public network intercom services. Background Technology

[0002] With the increasing maturity of public network push-to-talk (POC) platforms and operating models, and the widespread coverage of 3G / 4G / 5G and mobile internet networks, these technologies have been widely adopted by various operators, overcoming the limitations of traditional walkie-talkies, such as transmission power and antenna sensitivity, which prevent cross-regional communication. As a supplement to private network walkie-talkies, they address the organizational coordination and communication challenges of large-scale, long-duration service personnel groups.

[0003] Currently, the POC intercom platform, used for routine network maintenance, possesses basic functions such as trunked intercom, trajectory positioning, video communication, hierarchical management, and voice broadcasting, enabling overall monitoring of network operation. However, to improve customer experience and address communication scenarios involving critical customers and major communication safeguards, the POC intercom platform monitoring only covers basic functions and lacks macro-level, comprehensive, real-time management and overall monitoring of business usage. Summary of the Invention

[0004] This invention provides a method, device, and electronic device for monitoring wireless public network intercom services, in order to monitor the usage of the services.

[0005] This invention provides a method for monitoring wireless public network intercom services, comprising:

[0006] Acquire intercom service monitoring data corresponding to multiple historical periods under the target protection scenario, and obtain the intercom service baseline based on the intercom service monitoring data corresponding to the multiple historical periods;

[0007] Obtain the intercom service performance data for the current period, and determine the difference between the intercom service performance data and the intercom service baseline.

[0008] If the difference value is determined to meet the preset alarm rules, an alarm dispatch is executed.

[0009] According to the monitoring method for wireless public network intercom services provided by the present invention, the step of obtaining an intercom service baseline based on intercom service monitoring data corresponding to the plurality of historical periods includes:

[0010] Based on the intercom service monitoring data corresponding to the multiple historical periods, the intercom service prediction benchmark point for the current period is determined.

[0011] The intercom service baseline is obtained by connecting the benchmark points corresponding to the intercom service monitoring data of the multiple historical periods and the intercom service prediction benchmark point of the current period.

[0012] According to the monitoring method for wireless public network intercom services provided by the present invention, the step of determining the intercom service prediction benchmark point for the current period based on the intercom service monitoring data corresponding to the plurality of historical periods includes:

[0013] The average value of the intercom service monitoring data corresponding to the multiple historical periods is used to obtain the intercom service prediction benchmark point for the current period.

[0014] According to the wireless public network intercom service monitoring method provided by the present invention, the step of averaging the intercom service monitoring data corresponding to the plurality of historical periods to obtain the intercom service prediction benchmark point for the current period includes:

[0015] Based on multiple preset intercom service weights, the weighted average of the intercom service monitoring data corresponding to the multiple historical periods is calculated to obtain the intercom service prediction benchmark point for the current period.

[0016] The monitoring method for wireless public network intercom services provided by the present invention further includes:

[0017] If the intercom service baseline does not meet the preset standard, a basic baseline is obtained, and the error between the basic baseline and the intercom service performance data is determined.

[0018] Based on the error, the basic baseline is corrected to obtain a crosstalk service baseline that meets the preset standard.

[0019] The baseline is either the intercom service baseline for a historical period or the intercom service baseline for the current period.

[0020] According to the monitoring method for wireless public network intercom services provided by the present invention, the step of executing an alarm dispatch when it is determined that the difference value meets a preset alarm rule includes:

[0021] If the difference value is determined to meet the preset alarm rules, the alarm level corresponding to the difference value is determined.

[0022] Based on the alarm level corresponding to the difference value, determine the alarm order of different intercom service monitoring data;

[0023] Based on the alarm sequence, alarm orders are dispatched sequentially for different intercom service monitoring data.

[0024] The present invention also provides a monitoring device for wireless public network intercom services, comprising:

[0025] The first processing module is used to acquire intercom service monitoring data corresponding to multiple historical periods under the target protection scenario, and to obtain the intercom service baseline based on the intercom service monitoring data corresponding to the multiple historical periods.

[0026] The second processing module is used to acquire the intercom service performance data for the current period and determine the difference between the intercom service performance data and the intercom service baseline.

[0027] The third processing module is used to execute an alarm dispatch if the difference value is determined to meet the preset alarm rules.

[0028] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement a monitoring method for wireless public network intercom services as described above.

[0029] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the monitoring method for wireless public network intercom services as described above.

[0030] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements a monitoring method for wireless public network intercom services as described above.

[0031] The wireless public network intercom service monitoring method, device, and electronic equipment provided by this invention obtains the intercom service baseline by using intercom service monitoring data corresponding to multiple historical periods under the target protection scenario, calculates the intercom service performance data of the current period, compares the difference value between the intercom service baseline and the current period, and compares the difference value with the preset alarm rules to determine whether an alarm dispatch order needs to be executed, thereby realizing the monitoring of the usage of the wireless public network intercom service. Attached Figure Description

[0032] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0033] Figure 1 This is one of the flowcharts illustrating the monitoring method for wireless public network intercom services provided by the present invention;

[0034] Figure 2 This is the second flowchart illustrating the monitoring method for wireless public network intercom services provided by this invention.

[0035] Figure 3 This is a schematic diagram of the structure of the monitoring device for wireless public network intercom service provided by the present invention;

[0036] Figure 4 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0037] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0038] The following is combined Figures 1-4 This invention describes a method, apparatus, and electronic device for monitoring wireless public network intercom services.

[0039] like Figure 1 As shown, the present invention provides a method for monitoring wireless public network intercom services, comprising:

[0040] Step 110: Obtain intercom service monitoring data corresponding to multiple historical periods under the target protection scenario, and obtain the intercom service baseline based on the intercom service monitoring data corresponding to the multiple historical periods.

[0041] Understandably, real-time management and monitoring are conducted based on indicators such as basic terminal information, hierarchical management information, account registration information, group registration information, location information, and call record information used for public network intercom, to obtain corresponding intercom service monitoring data, which is the raw indicator data.

[0042] According to the established rules, from the user's perspective, the original indicator data is periodically summarized, analyzed and converged from the perspectives of accounts and groups. The difference range between the standard curve model and the real-time intercom service monitoring data is used to realize the quantitative indicator monitoring of the quality of public network intercom monitoring services.

[0043] In this embodiment, important basic and extended indicators are continuously monitored. When abnormal indicator data occurs, the corresponding alarm is automatically reported in a timely manner, and network operation and maintenance personnel are responsible for handling the alarm and restoring services.

[0044] We construct an indicator system model for the protection scenario, build a hierarchical systematic and quantitative data indicator value (i.e., the baseline of intercom service), and conduct quantitative evaluation of the call quality of POC (Push-to-Talk Over Cellular) service. The indicators are divided into three categories: basic indicators, extended indicators, and summary indicators.

[0045] a) Basic metrics: such as call duration and number of calls;

[0046] i. Call duration: Total call duration within a unit of time period;

[0047] ii. Number of calls: The total number of calls made within a unit of time period;

[0048] b) Extensibility metrics refer to online rate, rankings of various metrics, and baselines for call duration and number of calls over multiple time periods.

[0049] c) Summary metrics refer to some basic performance summary metrics based on accounts and groups.

[0050] Step 120: Obtain the intercom service performance data for the current period and determine the difference between the intercom service performance data and the intercom service baseline.

[0051] It is understood that the intercom service performance data for the current period can be predicted based on the intercom service baseline. The difference between the actual monitored value of the intercom service performance data for the current period and the predicted value of the intercom service performance data for the current period obtained based on the intercom service baseline is calculated to obtain the difference value between the intercom service performance data and the intercom service baseline.

[0052] Intercom service performance data is also known as POC performance data.

[0053] Step 130: If the difference value is determined to meet the preset alarm rules, execute the alarm dispatch.

[0054] Understandably, the preset alarm rules can include multiple alarm rules corresponding to different indicator data. Under the same indicator data, the difference between the intercom service performance data and the intercom service baseline is compared with the alarm rules to determine whether the difference is within the alarm rules. If it is within the alarm rules, an alarm dispatch is executed.

[0055] In some embodiments, obtaining the intercom service baseline based on the intercom service monitoring data corresponding to the plurality of historical periods includes:

[0056] Based on the intercom service monitoring data corresponding to the multiple historical periods, the intercom service prediction benchmark point for the current period is determined.

[0057] The intercom service baseline is obtained by connecting the benchmark points corresponding to the intercom service monitoring data of the multiple historical periods and the intercom service prediction benchmark point of the current period.

[0058] Understandably, the benchmark for intercom services can be the benchmark for intercom frequency, the benchmark for intercom duration, or the benchmark for intercom online rate.

[0059] Taking the intercom frequency baseline as an example, a frequency baseline model is established for the coverage area: Based on daily monitoring data and maintenance monitoring data, a frequency baseline is constructed, with a fixed time period as a baseline point. Connecting all the baseline points throughout the day constitutes the baseline, which represents the changing trend of the number of calls at each time point within a monitoring period. The frequency baseline reflects the future changing trend of this aggregated indicator. When the data sample is small, the current frequency baseline is only a basic frequency baseline. As the indicator data is collected and aggregated, the amount of reference sample data increases, and the system will adjust the baseline based on the latest aggregated indicator data to make the baseline increasingly consistent with the actual call situation.

[0060] In some embodiments, determining the intercom service prediction benchmark point for the current period based on the intercom service monitoring data corresponding to the plurality of historical periods includes:

[0061] The average value of the intercom service monitoring data corresponding to the multiple historical periods is used to obtain the intercom service prediction benchmark point for the current period.

[0062] Understandably, taking the number of calls in the first period of the current aggregated indicators as the benchmark, and assuming the number of calls at time point t in the first period is c, then the formula for the benchmark point l corresponding to time point t in the first period is: [formula missing], and the expression is y. i =c.

[0063] The frequency baseline is selected by averaging historical periodic frequency data. A total of i historical periodic frequency data are set, C. i Let y be the number of calls at the reference point l in the i-th period, and let y be the value of the reference point l in the latest period. ta The formula is: y ta = (C1+C2+C3+…+C i ) / i.

[0064] In some embodiments, the step of averaging the intercom service monitoring data corresponding to the plurality of historical periods to obtain the intercom service prediction benchmark point for the current period includes:

[0065] Based on multiple preset intercom service weights, the weighted average of the intercom service monitoring data corresponding to the multiple historical periods is calculated to obtain the intercom service prediction benchmark point for the current period.

[0066] It is understandable that the closer the historical intercom service monitoring data is to the current time, the closer it is to the actual trend. The older the intercom service monitoring data is, the lower its reference value. Based on this, we can increase the weight w of the service monitoring for different periods, with the weight being higher for the closer to the current time. We set a total of i periods of historical data.

[0067] For example, w iLet w1 be the weight value of the reference point l in the i-th period. For all weight values, the following equation holds: w1 + w2 + w3 + w4 + ... + w i =1; represents the number of calls made at the reference point l in the i-th period, where y is the value of the reference point l in the latest period. i The formula is defined as follows: y i =w1C1+w2C2+w3C 3+ …+w i C i .

[0068] If the benchmark value uses data from the most recent p periods to replace all historical data as a reference sample, w i-p Let w be the weight value of the reference point l for ip periods. Then all weight values ​​have the following relationship: i-1 +w i-2 +w i-3 +…+w i-p =1; At this time, the formula for the value of the reference point l of the latest cycle is: y ip =w i-1 C i-1 +w i-2 C i-2 +w i-3 C i-3+ …+w i-p C i-p .

[0069] After obtaining the weighted moving average of each benchmark point in a period from historical data, a frequency benchmark for predicting the trend of call volume in the current period can be obtained.

[0070] In some embodiments, the method for monitoring wireless public network intercom services further includes:

[0071] If the intercom service baseline does not meet the preset standard, a basic baseline is obtained, and the error between the basic baseline and the intercom service performance data is determined.

[0072] Based on the error, the basic baseline is corrected to obtain a crosstalk service baseline that meets the preset standard.

[0073] The baseline is either the intercom service baseline for a historical period or the intercom service baseline for the current period.

[0074] Understandably, the intercom service baseline can complete monitoring tasks in batches and in a timely manner according to the set rules. However, in the event of unplanned situations, such as when the intercom service baseline does not meet the preset standards, it often cannot automatically identify intercom service performance data that is compatible with the intercom service baseline. In this case, a basic baseline can be obtained, and the basic baseline can be corrected based on the error between the basic baseline and the intercom service performance data to obtain an intercom service baseline that meets the preset standards, so that the error of each data can be converged.

[0075] In some embodiments, the step of dispatching an alarm when the difference value is determined to meet a preset alarm rule includes:

[0076] If the difference value is determined to meet the preset alarm rules, the alarm level corresponding to the difference value is determined.

[0077] Based on the alarm level corresponding to the difference value, determine the alarm order of different intercom service monitoring data;

[0078] Based on the alarm sequence, alarm orders are dispatched sequentially for different intercom service monitoring data.

[0079] Understandably, after introducing a baseline, the current intercom service performance data can be compared with the baseline, and then alarm actions can be executed based on preset alarm rules. These configurations are used to automatically determine whether an anomaly has occurred in the intercom call. Once the intercom process meets these rules, an alarm is automatically reported. The alarm rules can be adjusted; the basic rules are as follows:

[0080] An alarm is triggered if call data exceeds the baseline value for three consecutive time points.

[0081] An alarm is triggered when call data falls below 30% of the baseline value at a certain point in time.

[0082] An alarm is triggered when call data exceeds 100% of the baseline value at a certain point in time.

[0083] Fault monitoring level settings: Based on whether there are important events in the protected scenario, the monitoring is set with an absolute difference threshold. A problem with zero call counts at a certain point in time may be more serious than a fault with 30% fewer calls than the baseline value. To reflect the different levels of concern for different problems, alarm monitoring levels are introduced, with three alarm levels set: A, B, and C. A is the highest severity level, and C is the lowest severity level. The automatic alarm reporting rules are marked with the corresponding alarm level, and the following levels are configured:

[0084] All manually triggered alarms are level A;

[0085] A call data value of 0 at a certain point in time indicates a level A.

[0086] Call data at a certain point in time that is 30% below the baseline value is classified as Level B;

[0087] Call data exceeding the baseline value for three consecutive time points is classified as Level C.

[0088] During the active period, different aggregated metrics will escalate from level B and C alarms to level A and B, respectively. Based on the alarm level, level A alarms will be reported and processed first, followed by level B and C alarms.

[0089] After the alarm dispatch is completed, the baseline model of the baseline is continuously adjusted manually according to the fault handling situation, so that the performance monitoring of the business can closely reflect the scenario conditions of the protection scenario in multiple dimensions.

[0090] In addition to the frequency baseline, a duration baseline can also be introduced to show the trend of call duration changes within a period; and an online rate baseline to show the percentage of terminals that made calls within a period.

[0091] In other embodiments, the present invention provides a method for monitoring wireless public network intercom services, such as... Figure 2 As shown, it includes:

[0092] Step 210: Construct a baseline model for performance data using various POC performance data;

[0093] Step 220: Set an absolute difference threshold between the performance data and the baseline results to construct alarm rules;

[0094] Step 230: Match the performance data with the baseline. Once the difference between the two exceeds the threshold, the alarm rule is met, and an alarm dispatch is triggered.

[0095] Step 240: Set alarm levels, select the alarm level corresponding to the difference value, and dispatch alarm orders;

[0096] Step 250: After dispatching the order, continuously adjust the baseline based on the fault handling feedback, so that the baseline becomes closer and closer to the actual situation.

[0097] In summary, the wireless public network intercom service monitoring method provided by the present invention includes: acquiring intercom service monitoring data corresponding to multiple historical periods under the target protection scenario; obtaining an intercom service baseline based on the intercom service monitoring data corresponding to the multiple historical periods; acquiring intercom service performance data for the current period; determining the difference value between the intercom service performance data and the intercom service baseline; and executing an alarm dispatch when the difference value meets a preset alarm rule.

[0098] In the monitoring method for wireless public network intercom services provided by the present invention, an intercom service baseline is obtained by using intercom service monitoring data corresponding to multiple historical periods under the target protection scenario. The intercom service performance data of the current period is calculated, and the difference value between the intercom service baseline and the current period is obtained. The difference value is then compared with the preset alarm rules to determine whether an alarm dispatch order needs to be executed, thereby realizing the monitoring of the usage of wireless public network intercom services.

[0099] Existing fault monitoring methods match and discover alarms based on specific alarms reported by network devices. This invention focuses on the performance indicators of public network intercom services, combining daily performance parameters, the importance level of the protected area in the protection scenario, protection time, and other factors to build a performance indicator baseline monitoring method for protection scenarios. When a protection activity begins, the current network service performance indicators are compared with the baseline, and the difference between the current indicators and the baseline is used to form real-time monitoring of the service. The baseline indicators are continuously adjusted in subsequent monitoring to better monitor the operational status of subsequent protection services.

[0100] The monitoring device for wireless public network intercom service provided by the present invention will be described below. The monitoring device for wireless public network intercom service described below and the monitoring method for wireless public network intercom service described above can be referred to in correspondence.

[0101] like Figure 3 As shown, the present invention provides a monitoring device 300 for wireless public network intercom services, comprising:

[0102] The first processing module 310 is used to acquire intercom service monitoring data corresponding to multiple historical periods under the target protection scenario, and to obtain the intercom service baseline based on the intercom service monitoring data corresponding to the multiple historical periods.

[0103] The second processing module 320 is used to acquire the intercom service performance data of the current period and determine the difference between the intercom service performance data and the intercom service baseline.

[0104] The third processing module 330 is used to execute an alarm dispatch when it is determined that the difference value meets the preset alarm rules.

[0105] The electronic device, computer program product, and storage medium provided by the present invention are described below. The electronic device, computer program product, and storage medium described below can be referred to in correspondence with the monitoring method of wireless public network intercom service described above.

[0106] Figure 4 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 4As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 communicate with each other through the communication bus 440. The processor 410 can call logical instructions in the memory 430 to execute a monitoring method for wireless public network intercom services, the method including:

[0107] Acquire intercom service monitoring data corresponding to multiple historical periods under the target protection scenario, and obtain the intercom service baseline based on the intercom service monitoring data corresponding to the multiple historical periods;

[0108] Obtain the intercom service performance data for the current period, and determine the difference between the intercom service performance data and the intercom service baseline.

[0109] If the difference value is determined to meet the preset alarm rules, an alarm dispatch is executed.

[0110] Furthermore, the logical instructions in the aforementioned memory 430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a 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 to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. 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.

[0111] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program, the computer program being able to be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer being able to execute the wireless public network intercom service monitoring method provided by the above methods, the method comprising:

[0112] Acquire intercom service monitoring data corresponding to multiple historical periods under the target protection scenario, and obtain the intercom service baseline based on the intercom service monitoring data corresponding to the multiple historical periods;

[0113] Obtain the intercom service performance data for the current period, and determine the difference between the intercom service performance data and the intercom service baseline.

[0114] If the difference value is determined to meet the preset alarm rules, an alarm dispatch is executed.

[0115] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a monitoring method for wireless public network intercom services provided by the methods described above, the method comprising:

[0116] Acquire intercom service monitoring data corresponding to multiple historical periods under the target protection scenario, and obtain the intercom service baseline based on the intercom service monitoring data corresponding to the multiple historical periods;

[0117] Obtain the intercom service performance data for the current period, and determine the difference between the intercom service performance data and the intercom service baseline.

[0118] If the difference value is determined to meet the preset alarm rules, an alarm dispatch is executed.

[0119] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0120] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0121] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A monitoring method for wireless public network intercom service, characterized in that, include: Acquire intercom service monitoring data corresponding to multiple historical periods under the target protection scenario, and obtain the intercom service baseline based on the intercom service monitoring data corresponding to the multiple historical periods; The process of obtaining the intercom service baseline based on the intercom service monitoring data corresponding to the multiple historical periods includes: Based on the intercom service monitoring data corresponding to the multiple historical periods, a benchmark point for intercom service prediction in the current period is determined; the determination of the benchmark point for intercom service prediction in the current period based on the intercom service monitoring data corresponding to the multiple historical periods includes: The average value of the intercom service monitoring data corresponding to the multiple historical periods is used to obtain the intercom service prediction benchmark point for the current period; the step of averaging the intercom service monitoring data corresponding to the multiple historical periods to obtain the intercom service prediction benchmark point for the current period includes: Based on multiple preset intercom service weights, the weighted average of the intercom service monitoring data corresponding to the multiple historical periods is calculated to obtain the intercom service prediction benchmark point for the current period. The intercom service baseline is obtained by connecting the benchmark points corresponding to the intercom service monitoring data of the multiple historical periods and the intercom service prediction benchmark point of the current period. Obtain the intercom service performance data for the current period, and determine the difference between the intercom service performance data and the intercom service baseline. If the difference value is determined to meet the preset alarm rules, an alarm dispatch is executed.

2. The monitoring method of a wireless public network intercom service according to claim 1, characterized by, Also includes: If the intercom service baseline does not meet the preset standard, a basic baseline is obtained, and the error between the basic baseline and the intercom service performance data is determined. Based on the error, the basic baseline is corrected to obtain a crosstalk service baseline that meets the preset standard. The baseline is either the intercom service baseline for a historical period or the intercom service baseline for the current period.

3. The method of claim 1 or 2, wherein the monitoring of the wireless public network intercom service is performed by a network management system. The step of dispatching an alarm when the difference value meets a preset alarm rule includes: If the difference value is determined to meet the preset alarm rules, the alarm level corresponding to the difference value is determined. Based on the alarm level corresponding to the difference value, determine the alarm order of different intercom service monitoring data; Based on the alarm sequence, alarm orders are dispatched sequentially for different intercom service monitoring data.

4. A monitoring device for wireless public network intercom service, characterized in that, include: The first processing module is used to acquire intercom service monitoring data corresponding to multiple historical periods under the target protection scenario, and to obtain the intercom service baseline based on the intercom service monitoring data corresponding to the multiple historical periods. The step of obtaining the intercom service baseline based on the intercom service monitoring data corresponding to the multiple historical periods includes: determining the intercom service prediction baseline point for the current period based on the intercom service monitoring data corresponding to the multiple historical periods; determining the intercom service prediction baseline point for the current period based on the intercom service monitoring data corresponding to the multiple historical periods includes: averaging the intercom service monitoring data corresponding to the multiple historical periods to obtain the intercom service prediction baseline point for the current period; averaging the intercom service monitoring data corresponding to the multiple historical periods to obtain the intercom service prediction baseline point for the current period includes: calculating a weighted average of the intercom service monitoring data corresponding to the multiple historical periods based on preset intercom service weights to obtain the intercom service prediction baseline point for the current period; and connecting the baseline points corresponding to the intercom service monitoring data corresponding to the multiple historical periods and the intercom service prediction baseline point for the current period to obtain the intercom service baseline. The second processing module is used to acquire the intercom service performance data for the current period and determine the difference between the intercom service performance data and the intercom service baseline. The third processing module is used to execute an alarm dispatch if the difference value is determined to meet the preset alarm rules.

5. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the monitoring method for wireless public network intercom service as described in any one of claims 1 to 3.

6. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, When the computer program is executed by the processor, it implements the monitoring method for wireless public network intercom service as described in any one of claims 1 to 3.

7. A computer program product comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the monitoring method for wireless public network intercom service as described in any one of claims 1 to 3.

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