Communication device twin modeling method

Abstract

The application relates to the technical field of communication equipment, and discloses a communication equipment twin modeling method, which comprises the following steps: acquiring running data, function data, environment data, communication data and abnormal data; constructing a first twin model; constructing a second twin model; constructing a third twin model; and self-checking the second twin model. According to the application, the running data, the function data, the environment data, the communication data and the abnormal data provide a data basis for constructing the first twin model and the second twin model; the first twin model is used for monitoring a single communication equipment; the second twin model is used for monitoring a set of equipment; the third twin model is used for integrating the monitoring data in the model; the second twin model is used for self-checking the equipment to update the single communication equipment that is not conducive to overall communication in the set of equipment. Finally, the communication equipment twin modeling is realized.

Description

Technical Field

[0001] The present application relates to the technical field of communication equipment, and specifically to a method for twin modeling of communication equipment. Background Art

[0002] Communication equipment is the hardware foundation to ensure the stable operation of the communication network, and its monitoring is necessary. Most communication equipment is installed outdoors, even in remote areas. Therefore, it is even more necessary to study reasonable ways to monitor communication equipment.

[0003] Digital twin technology aims to map the operating laws of the physical world in digital space through twin modeling. This technology is suitable for optimizing the monitoring methods of communication equipment, so it is necessary to study the twin modeling methods of communication equipment.

[0004] Chinese patent number CN202310448253.4 discloses a device state estimation method for a communication network digital twin, comprising the following steps: collecting the operating data of each communication network device and establishing a digital twin model for each communication network device; associating the digital twin models of each communication network device and constructing an association model between the digital twin models of the communication network devices; creating a deep simulation neural network based on the dynamic parameter samples, control parameter samples, and static parameter samples of each network device to generate an individual digital twin warning model for each network device and a digital twin warning model for the network device group; establishing an abnormal monitoring neural network to trigger the remodeling of the digital twin system by monitoring the system operating data. If the access of the network device changes, the digital twin warning model of the network device group is triggered. This application dynamically updates and adjusts the digital twin state estimation method of the communication network device group according to the topological changes of the communication network. This invention realizes the twin modeling and dynamic adjustment of the communication network device group, but its dynamic adjustment only collects the dynamic parameter samples, control parameter samples, and static parameter samples of each network device, and does not analyze the environment in which the device is located.

[0005] In summary, the existing technology lacks a technical solution for twin modeling of communication devices. Summary of the Invention

[0006] The purpose of this application is to provide a communication device twin modeling method to solve the technical problems raised in the above background technology.

[0007] To achieve the above objectives, this application discloses the following technical solutions:

[0008] A communication equipment twin modeling method, the method presets a monitoring cycle ,include:

[0009] S1: Acquire the operation data, function data, environment data, communication data and abnormal data of a single communication device;

[0010] S2: Performing twin modeling of a single communication device using the operation data, the function data, the environment data, the communication data, and the abnormal data to obtain a first twin model, where the first twin model is used to monitor the single communication device;

[0011] S3: Divide the single communication device into a plurality of device sets using the functional data and the communication data, and perform twin modeling on the device sets to obtain a second twin model, wherein the second twin model is used to monitor the device sets;

[0012] S4: Fusing the first twin model and the second twin model to obtain a third twin model, where the third twin model is used to integrate the monitoring data within the model;

[0013] S5: Perform device self-test on the second twin model, where the device self-test is used to filter out single communication devices in the device set that are not conducive to overall communication.

[0014] Preferably, the operation data includes current data, voltage data and power data of the single communication device during operation;

[0015] The function data includes the function numbers of the single communication device and the preset function table corresponding to the function numbers of the single communication device;

[0016] The environmental data includes temperature data, humidity data, dust concentration data, electromagnetic interference data, rainfall data, wind direction and speed data, and vibration data of the operating environment of the single communication device;

[0017] The communication data includes the communication object number and the corresponding communication time when the single communication device communicates;

[0018] The abnormal data includes the abnormal type and the corresponding abnormal time when the single communication device has an abnormality.

[0019] Preferably, the step of obtaining the first twin model specifically includes the following steps:

[0020] A1: Extracting features from the operating data, the environmental data, and the abnormal data based on a time series to obtain a first relationship between features of the operating data and features of the environmental data corresponding to the abnormal data;

[0021] A2: Storing the operating data, the functional data, the environmental data, the communication data, the abnormal data and the first relationship into a preset twin model framework to obtain the first twin model.

[0022] As preferred, the first twin model is used for monitoring the single communication device, specifically including real-time environment monitoring and aging monitoring;

[0023] The real-time environment monitoring includes:

[0024] B11: acquiring real-time running data and real-time environment data, and comparing with the first relationship;

[0025] The aging monitoring includes the following steps:

[0026] B21: calculating an aging index by using an aging index formula, the aging index being used for representing the aging degree of the single communication device in a monitoring period, and the aging index formula being specifically:

[0027]

[0028]

[0029] wherein, is the running time length of the single communication device under abnormal temperature data, is the running time length of the single communication device under abnormal humidity data, is the running time length of the single communication device under abnormal dust concentration data, is the running time length of the single communication device under abnormal electromagnetic interference data, is the running time length of the single communication device under abnormal rainfall data, is the running time length of the single communication device under abnormal wind direction and wind speed data, is the running time length of the single communication device under abnormal vibration data, is the sum of the running time lengths of the single communication device under abnormal environment data, and the units of all the running time lengths are hours, is the absolute value of the natural logarithm of is the absolute value of the natural logarithm of a control parameter, when , otherwise , is the total number of maintenance of all the single communication devices in a monitoring period, is an absolute value operator, is the aging index.

[0030] As preferred, the single communication device is divided into a plurality of device sets, specifically including the following steps:

[0031] C1: acquiring the function data and the communication data;

[0032] C2: dividing the single communication devices having the same function number into the same device set, and defining the result of the division as a first device set;

[0033] C3: Obtain the communication object number corresponding to each individual communication device in the first device set, divide the individual communication device corresponding to the communication object number into the first device set, update the first device set, obtain the device set and output it.

[0034] Preferably, the step of obtaining the second twin model specifically includes the following steps:

[0035] D1: defining the same function number as a second relationship, and defining the existence of communication records between single communication devices as a third relationship;

[0036] D2: Store the second relationship, the third relationship and the device set into a preset twin model framework to obtain the second twin model.

[0037] Preferably, the second twin model is used to monitor the device set, specifically including function monitoring and linkage monitoring;

[0038] The functional monitoring performs the following steps:

[0039] E11: Get a number within a monitoring period. The function execution results of the single communication device are counted and the count is used To express;

[0040] E12: Filter and count the number of failed function execution results in the function execution results, and use this number To express;

[0041] E13: Calculate the function execution completion degree of the device set using a first function execution result formula. The first function execution result formula is specifically:

[0042]

[0043] in, the degree of completion of the functions executed by the set of devices, For the sum symbol;

[0044] The linkage monitoring comprises the following steps:

[0045] E21: Obtain the real-time communication records of a single communication device and capture the single communication device in communication;

[0046] E22: using the third relationship of the captured single communication device to capture the single communication device corresponding to the single communication device;

[0047] E23: Performing linkage monitoring on the communication devices captured in steps E21-E22, wherein the linkage monitoring is used to monitor the communication channels between individual communication devices.

[0048] Preferably, the step of obtaining the third twin model specifically includes:

[0049] Utilize the number of a single communication device The first twin model is incorporated into the second twin model, and the second twin model incorporated into the first twin model is defined as the third twin model.

[0050] Preferably, the third twin model is used to integrate the monitoring data within the model, specifically comprising the following steps:

[0051] F1: Acquire monitoring data generated by the real-time environmental monitoring, the aging monitoring, the functional monitoring, and the linkage monitoring;

[0052] F2: issuing an alarm message when the real-time operation data and the real-time environment data satisfy the first relationship;

[0053] F3: Preset aging index threshold, when the aging index is greater than or equal to the aging index threshold, an alarm message is issued;

[0054] F4: preset function execution completion threshold, when the function execution completion degree is greater than or equal to the function execution completion degree threshold, an alarm message is issued;

[0055] F5: When performing linkage monitoring, an alarm message is issued when the communication channel is interrupted.

[0056] Preferably, the device self-check is used to screen out individual communication devices in the device set that are not conducive to overall communication, and specifically includes the following steps:

[0057] G1: Calculate the function execution completion degree of a single communication device in the device set using a second function execution result formula, wherein the second function execution result formula is specifically:

[0058]

[0059] in, The functional execution completion degree of a single communication device in the device set;

[0060] G2: Get the number Single device a sum of the function execution completion degrees of the single communication devices in the device set for the monitoring period, wherein, is a sum of the function execution completion degrees of the single devices numbered in the device set for the monitoring period, is an average value of a sum of the function execution completion degrees of the single communication devices in the device set for the monitoring period, is a sum of the function execution completion degrees of the single devices numbered in the device set for the monitoring period, is an average value of a sum of the function execution completion degrees of the single communication devices in the device set for the monitoring period,

[0061] G3: preset self-check threshold when an alarm information is sent out.

[0062] Beneficial effects: the communication device twin modeling method of the present application provides a data basis for constructing the first twin model and the second twin model by acquiring running data, function data, environment data, communication data and abnormal data; the single communication device is monitored through the first twin model; the device set is monitored through the second twin model; the monitoring data in the model is integrated through the construction of the third twin model; the single communication device in the device set that is not conducive to the overall communication is updated through the device self-check of the second twin model. BRIEF DESCRIPTION OF DRAWINGS

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0064] Figure 1 The flow chart of the communication device twin modeling method provided by the embodiments of the present application. DETAILED DESCRIPTION

[0065] The technical solutions in the embodiments of the present application will be described clearly and completely below. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0066] In this document, the term "comprising" is intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0067] This embodiment discloses Figure 1 A communication device twin modeling method is shown, which has a preset monitoring cycle ,include:

[0068] S1: Acquire the operation data, function data, environment data, communication data and abnormal data of a single communication device;

[0069] S2: Use the operation data, function data, environment data, communication data and abnormal data to perform twin modeling of the single communication device to obtain a first twin model. The first twin model is used to monitor the single communication device;

[0070] S3: Use functional data and communication data to divide the single communication device into several device sets, and perform twin modeling on the device sets to obtain a second twin model. The second twin model is used to monitor the device sets;

[0071] S4: Fusing the first twin model and the second twin model to obtain a third twin model, which is used to integrate the monitoring data within the model;

[0072] S5: Perform device self-test on the second twin model. The device self-test is used to filter out single communication devices in the device set that are not conducive to overall communication.

[0073] By acquiring operation data, functional data, environmental data, communication data and abnormal data, a data basis is provided for building the first twin model and the second twin module; the first twin model is used to monitor individual communication devices; the second twin model is used to monitor the device collection; the monitoring data within the third twin model is integrated by building the third twin model; and the second twin model is used to perform device self-inspection to update individual communication devices in the device collection that are not conducive to overall communication.

[0074] Specifically, the operation data includes current data, voltage data, and power data of a single communication device during operation;

[0075] The function data includes the function numbers corresponding to the single communication device and the preset function table; the function table stores the function numbers corresponding to the functions of the single communication device;

[0076] Environmental data includes temperature data, humidity data, dust concentration data, electromagnetic interference data, rainfall data, wind direction and speed data, and vibration data of the operating environment of a single communication device;

[0077] Communication data includes the communication object number and corresponding communication time when the single communication device communicates;

[0078] The abnormal data includes the abnormal type and corresponding abnormal time when the single communication device has an abnormality.

[0079] Specifically, obtaining the first twin model includes the following steps:

[0080] A1: Extracting features from the operating data, environmental data, and abnormal data based on the time series to obtain a first relationship between features of the operating data and features of the environmental data corresponding to the abnormal data;

[0081] A2: Store the operation data, functional data, environmental data, communication data, abnormal data and the first relationship into a preset twin model framework to obtain a first twin model.

[0082] Specifically, the first twin model is used to monitor a single communication device, including real-time environmental monitoring and aging monitoring;

[0083] Real-time environmental monitoring includes:

[0084] B11: Real-time operation data and real-time environmental data are obtained and compared with the first relationship. It should be noted that this embodiment uses the first relationship to associate the operation and environmental data of a single communication device. When similar environmental data appears, an alarm is issued to the corresponding single communication device.

[0085] Aging monitoring includes the following steps:

[0086] B21: The aging index is calculated using the aging index formula. The aging index is used to characterize the aging degree of a single communication device within a monitoring cycle. The aging index formula is as follows:

[0087]

[0088]

[0089] in, The operating time of a single communication device under abnormal temperature data, The operating time of a single communication device under abnormal humidity data, The operating time of a single communication device under abnormal dust concentration data, It is the operating time of a single communication device under abnormal electromagnetic interference data. The operating time of a single communication device under abnormal rainfall data, It is the operating time of a single communication device under abnormal wind direction and speed data. The operating time of a single communication device under abnormal vibration data, It is the sum of the operating time of a single communication device under abnormal environment data, and the unit of all operating time is hours. for The absolute value of the natural logarithm of for The absolute value of the natural logarithm of the control parameter, when hour ,otherwise , is the total number of repairs of all single communication equipment within an aging monitoring cycle, is the absolute value operator, It is the aging index. It should be noted that the aging index in this embodiment is a calculation of the aging degree of a single communication device within a monitoring cycle. Therefore, when the aging index is greater than or equal to the aging index threshold, it indicates that a significant problem has occurred in the single communication device within the monitoring cycle, providing data support for linkage monitoring.

[0090] Specifically, dividing a single communication device into several device sets includes the following steps:

[0091] C1: Acquisition of functional data and communication data;

[0092] C2: Individual communication devices with the same function number are grouped into the same device set, and the result of this grouping is defined as the first device set. This embodiment monitors individual communication devices with the same function by grouping them into the same device set. This technical approach also enables replacement of individual communication devices with the same function by selecting a single communication device with the same function from the device set if a failure occurs.

[0093] C3: Obtain the communication object number corresponding to each individual communication device in the first device set, divide the individual communication device corresponding to the communication object number into the first device set, and update the first device set to obtain and output the device set. In this embodiment, the communication relationship between the individual communication devices is constructed based on the communication record, making the division of the device set more reasonable.

[0094] Specifically, obtaining the second twin model includes the following steps:

[0095] D1: The second relationship is defined as having the same function number, and the third relationship is defined as the existence of communication records between single communication devices;

[0096] D2: Store the second relationship, the third relationship, and the device set into the preset twin model framework to obtain the second twin model.

[0097] Specifically, the second twin model is used to monitor a collection of devices, including functional monitoring and linkage monitoring;

[0098] Function monitoring performs the following steps:

[0099] E11: Get a number within a monitoring period. The function execution results of the single communication device are counted and the count is used To express;

[0100] E12: Filter and count the number of failed function execution results in the function execution results, and use the number To express;

[0101] E13: Calculate the function execution completion degree of the device set using the first function execution result formula. The first function execution result formula is:

[0102]

[0103] in, The degree of functional execution completion for the device collection, For the sum symbol;

[0104] Linked monitoring includes the following steps:

[0105] E21: Obtain the real-time communication records of a single communication device and capture the single communication device in communication;

[0106] E22: using the captured third relationship of the single communication device to capture the single communication device corresponding to the single communication device;

[0107] E23: Perform linkage monitoring on the communication devices captured in steps E21-E22. The linkage monitoring is used to monitor the communication channels between individual communication devices. This embodiment protects the communication channels through linkage monitoring, and implements linkage monitoring of other individual communication devices in the same monitoring cycle when the aging index exceeds the standard.

[0108] Specifically, the third twin model is obtained, which specifically includes:

[0109] Utilize the number of a single communication device The first twin model is incorporated into the second twin model, and the second twin model incorporated into the first twin model is defined as the third twin model.

[0110] Specifically, the third twin model is used to integrate the monitoring data within the model, which specifically includes the following steps:

[0111] F1: Acquire monitoring data generated by real-time environmental monitoring, aging monitoring, functional monitoring, and linkage monitoring;

[0112] F2: When the real-time operation data and the real-time environment data meet the first relationship, an alarm message is issued;

[0113] F3: Preset aging index threshold, when the aging index is greater than or equal to the aging index threshold, an alarm message will be issued;

[0114] F4: Preset function execution completion threshold. When the function execution completion is greater than or equal to the function execution completion threshold, an alarm message will be issued.

[0115] F5: When performing linkage monitoring, an alarm message is issued when the communication channel is interrupted.

[0116] Specifically, the device self-check is used to filter out individual communication devices in the device set that are not conducive to overall communication, and specifically includes the following steps:

[0117] G1: Calculate the function execution completion degree of a single communication device in the device set using the second function execution result formula. The second function execution result formula is specifically:

[0118]

[0119] in, The degree of functional execution completion of a single communication device in a device set;

[0120] G2: Get the number Single device The functional execution completion degree of the single communication device in the device set of the monitoring cycle is calculated ,in, For the number Single device The sum of the functional execution completion of the individual communication devices in the device set of the monitoring period, For the number Single device The average value of the sum of the functional execution completion degrees of the individual communication devices in the device set of the monitoring period;

[0121] G3: Preset self-test threshold ,when When an alarm message is issued, the alarm message may be, but is not limited to, an instruction to the administrator to replace the single communication device, thereby ensuring the overall communication quality of the device collection.

[0122] In summary, the communication equipment twin modeling method of this embodiment provides a data basis for constructing the first twin model and the second twin module by acquiring operation data, functional data, environmental data, communication data and abnormal data; monitors individual communication devices through the first twin model; monitors the device set through the second twin model; integrates the monitoring data within the third twin model by constructing the third twin model; and updates individual communication devices in the device set that are not conducive to overall communication by performing device self-inspection on the second twin model.

[0123] In the embodiments provided herein, it should be understood that the embodiments described herein can be implemented using hardware, software, firmware, middleware, code, or any appropriate combination thereof. For hardware implementation, the processor may be implemented in one or more of the following: an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field-programmable gate array (FPGA), a processor, a controller, a microcontroller, a microprocessor, or other electronic units designed to implement the functionality described herein, or any combination thereof. For software implementation, some or all of the processes of the embodiments may be performed by a computer program instructing the relevant hardware. During implementation, the program may be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein communication media includes any medium that facilitates the transmission of a computer program from one location to another. The storage medium may be any available medium that can be accessed by a computer. Computer-readable storage media may include, but are not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing the desired program code in the form of instructions or data structures and accessible by a computer.

[0124] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent replacements for some of the technical features therein. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

Claims

1. A communication device twin modeling method with a preset monitoring cycle , characterized in that, include: S1: Acquire the operation data, function data, environment data, communication data and abnormal data of a single communication device; S2: Performing twin modeling of a single communication device using the operation data, the function data, the environment data, the communication data, and the abnormal data to obtain a first twin model, where the first twin model is used to monitor the single communication device; S3: Divide the single communication device into a plurality of device sets using the functional data and the communication data, and perform twin modeling on the device sets to obtain a second twin model, where the second twin model is used to monitor the device sets; S4: Fusing the first twin model and the second twin model to obtain a third twin model, where the third twin model is used to integrate the monitoring data within the model; S5: Performing a device self-test on the second twin model, wherein the device self-test is used to filter out a single communication device in the device set that is not conducive to overall communication; in: The aforementioned division of a single communication device into several device sets specifically includes the following steps: C1: Acquire the functional data and the communication data; C2: dividing the single communication devices with the same function number into the same device set, and defining the result of this division as the first device set; C3: Obtain the communication object number corresponding to each individual communication device in the first device set, classify the individual communication devices corresponding to the communication object number into the first device set, update the first device set, obtain the device set, and output it; The obtaining of the third twin model specifically includes: Utilize the number of a single communication device The first twin model is incorporated into the second twin model, and the second twin model incorporated into the first twin model is defined as the third twin model.

2. The communication device twin modeling method according to claim 1, characterized in that: The operation data includes current data, voltage data and power data of the single communication device when it is in operation; The function data includes the function numbers of the single communication device and the preset function table corresponding to the function numbers of the single communication device; The environmental data includes temperature data, humidity data, dust concentration data, electromagnetic interference data, rainfall data, wind direction and speed data, and vibration data of the operating environment of the single communication device; The communication data includes the communication object number and the corresponding communication time when the single communication device communicates; The abnormal data includes the abnormal type and the corresponding abnormal time when the single communication device has an abnormality.

3. The communication device twin modeling method according to claim 2, characterized in that: The obtaining of the first twin model specifically includes the following steps: A1: Extracting features from the operating data, the environmental data, and the abnormal data based on a time series to obtain a first relationship between features of the operating data and features of the environmental data corresponding to the abnormal data; A2: Storing the operating data, the functional data, the environmental data, the communication data, the abnormal data and the first relationship into a preset twin model framework to obtain the first twin model.

4. The communication device twin modeling method according to claim 3, characterized in that: The first twin model is used to monitor a single communication device, specifically including real-time environmental monitoring and aging monitoring; The real-time environmental monitoring includes: B11: Acquire real-time operation data and real-time environment data, and compare them with the first relationship; The aging monitoring comprises the following steps: B21: Calculate the aging index using an aging index formula. The aging index is used to characterize the aging degree of a single communication device within a monitoring cycle. The aging index formula is specifically: in, The operating time of a single communication device under abnormal temperature data, The operating time of a single communication device under abnormal humidity data, The operating time of a single communication device under abnormal dust concentration data, It is the operating time of a single communication device under abnormal electromagnetic interference data. The operating time of a single communication device under abnormal rainfall data, It is the operating time of a single communication device under abnormal wind direction and speed data. The operating time of a single communication device under abnormal vibration data, It is the sum of the operating time of a single communication device under abnormal environment data, and the unit of all operating time is hours. for The absolute value of the natural logarithm of for The absolute value of the natural logarithm of the control parameter, when hour ,otherwise , is the total number of repairs of all single communication equipment within an aging monitoring cycle, is the absolute value operator, is the aging index.

5. The communication device twin modeling method according to claim 4, characterized in that: The obtaining of the second twin model specifically includes the following steps: D1: defining the same function number as a second relationship, and defining the existence of communication records between single communication devices as a third relationship; D2: Store the second relationship, the third relationship and the device set into a preset twin model framework to obtain the second twin model.

6. The communication device twin modeling method according to claim 5, characterized in that: The second twin model is used to monitor the device set, specifically including function monitoring and linkage monitoring; The functional monitoring performs the following steps: E11: Get a number within a monitoring period. The function execution results of the single communication device are counted and the count is used To express; E12: Filter and count the number of failed function execution results in the function execution results, and use this number To express; E13: Calculate the function execution completion degree of the device set using a first function execution result formula. The first function execution result formula is specifically: in, the degree of completion of the functions executed by the set of devices, For the sum symbol; The linkage monitoring comprises the following steps: E21: Obtain the real-time communication records of a single communication device and capture the single communication device in communication; E22: using the third relationship of the captured single communication device to capture the single communication device corresponding to the single communication device; E23: Performing linkage monitoring on the communication devices captured in steps E21-E22, wherein the linkage monitoring is used to monitor the communication channels between individual communication devices.

7. The communication device twin modeling method according to claim 6, characterized in that: The third twin model is used to integrate the monitoring data within the model, specifically including the following steps: F1: Acquire monitoring data generated by the real-time environmental monitoring, the aging monitoring, the functional monitoring, and the linkage monitoring; F2: issuing an alarm message when the real-time operation data and the real-time environment data satisfy the first relationship; F3: Preset aging index threshold, when the aging index is greater than or equal to the aging index threshold, an alarm message is issued; F4: preset function execution completion threshold, when the function execution completion degree is greater than or equal to the function execution completion degree threshold, an alarm message is issued; F5: When performing linkage monitoring, an alarm message is issued when the communication channel is interrupted.

8. The communication device twin modeling method according to claim 7, characterized in that: The device self-check is used to filter out individual communication devices in the device set that are not conducive to overall communication, and specifically includes the following steps: G1: Calculate the function execution completion degree of a single communication device in the device set using a second function execution result formula, wherein the second function execution result formula is specifically: in, The functional execution completion degree of a single communication device in the device set; G2: Get the number Single device The function execution completion degree of the single communication device in the device set in the monitoring cycle is calculated ,in, For the number Single device The sum of the functional execution completion degrees of the individual communication devices in the device set during the monitoring period, For the number Single device an average value of the sum of the function execution completion degrees of the individual communication devices in the device set during the monitoring period; G3: Preset self-test threshold ,when An alarm message is issued when

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