A communication tower fault monitoring system and method

Abstract

The application discloses a communication tower fault monitoring system and method, relates to the technical field of tower fault monitoring, and solves the problem that traditional monitoring technology cannot identify faults such as bolt loosening without obvious phenomena by monitoring signal information received by a target tower, effectively capturing voiceprint information of the target tower by using voiceprint technology, and then judging whether the target tower is faulty and the fault type. Meanwhile, vegetation information in a region where a tower base of the target tower is located and damage information of the tower base of the target tower are monitored and analyzed, and then the cause of the tower fault is directly focused on, the monitoring of the root cause of the fault is realized, finally, signal fault causes of the target tower, tower body fault types and tower base fault types are comprehensively used for fault early warning, the accuracy and response efficiency of early warning are effectively improved, and more active and more accurate protection is provided for safe operation of the tower.

Description

Technical Field

[0001] This application relates to the field of tower fault monitoring technology, specifically to a communication tower fault monitoring system and method. Background Technology

[0002] Monitoring tower faults is a crucial step in ensuring the safe and stable operation of towers, reducing accident risks, and maintaining the normal functioning of society. As a tall structure supporting critical infrastructure such as communication and power transmission, the structural stability of towers is directly related to public safety. Therefore, this application proposes a communication tower fault monitoring system and method.

[0003] Existing technology, such as the invention application patent with announcement number CN119945922A, discloses a method and system for intelligent monitoring and fault early warning of communication towers. The method includes: determining the state of underground cavities and identifying the risk level zone of the area to be monitored; determining the risk level zone of each communication tower; identifying communication towers with primary risk warnings; acquiring target monitoring points for all communication towers with primary risk warnings and surface monitoring points of the area to be monitored; determining the first, second, and third tower planes of the communication towers, and based on these planes, determining the fault type of the communication towers; identifying high-risk target monitoring points and high-risk target communication towers using tower monitoring data and dynamic surface change data of the risk level zone; and displaying the fault type and the tower identification of the high-risk target communication towers.

[0004] Existing technology, such as the invention application patent with publication number CN115134345B, discloses a tilt monitoring system and data transmission method for iron towers. Its technical solution consists of an IoT terminal and a remote server, both transmitting data wirelessly. The IoT terminal includes a data acquisition module, a processing module, and a communication module. The data acquisition module uses MEMS sensing technology and sensors to collect tilt data. The processing module is responsible for processing and analyzing the collected iron tower tilt data. The communication module is responsible for establishing a TCP connection with the remote server, sending the processed iron tower tilt data to the remote server, and receiving response data from the response module on the remote server.

[0005] The above-mentioned solutions have the following technical problems: 1. Current technology only monitors the tower itself to determine the tower's fault status, without considering the impact of tower faults on the transmitted signal. Therefore, combining the cause of signal anomalies with the detected tower fault type can effectively reduce the error in fault monitoring. The current technology's neglect of this aspect leads to a lack of accuracy in fault monitoring.

[0006] Current technology only monitors the phenomenon of tower tilting, without analyzing the causes of the tilt. Since the underground base of the tower is affected by vegetation roots and microbial corrosion, it can cause the tower to tilt. The current technology's neglect of this aspect makes it impossible to predict the tower's tilt. Once the tilt is detected, it is difficult to maintain the tower. Summary of the Invention

[0007] The purpose of this application is to provide a communication tower fault monitoring system and method, which solves the problems existing in the background art.

[0008] To solve the above-mentioned technical problems, this application adopts the following technical solution: In the first aspect, this application provides a communication tower fault monitoring system, including: a signal monitoring module: used to monitor the signal parameters received by the target tower, and then analyze whether the signal is abnormal and the cause of the signal abnormality.

[0009] The fault monitoring module includes a tower body monitoring unit and a tower base monitoring unit.

[0010] The tower monitoring unit is used to monitor the tower body of the target tower, thereby determining whether the tower body is faulty and the type of fault.

[0011] The tower base monitoring unit is used to monitor the vegetation information and tower base damage information in the area where the target tower base is located, and then analyze whether the target tower base is faulty and the type of tower base fault.

[0012] Fault warning module: Used to provide fault warnings by combining the cause of signal abnormality of the target tower and the type of tower body fault, and to provide fault warnings by combining the cause of signal abnormality of the target tower and the type of tower base fault.

[0013] This application provides a method for monitoring faults in communication towers in a second aspect, including: Step 1, monitoring the signal parameters received by the target tower, and then analyzing whether the signal is abnormal and the cause of the signal abnormality.

[0014] Step 2: Monitor the tower body of the target tower to determine whether the tower body is faulty and the type of fault.

[0015] Step 3: Monitor the vegetation information and tower base damage information in the area where the target tower's base is located, and then analyze whether the target tower's base is faulty and the type of fault.

[0016] Step 4: Conduct fault warning based on the combined causes of signal anomalies and tower body fault types of the target tower.

[0017] The beneficial effects of this application are as follows: 1. The communication tower fault monitoring system and method provided in this application monitors the signal information received by the target tower and then uses voiceprint technology to effectively capture the voiceprint information of the target tower, thereby determining whether the target tower is faulty and the type of fault. This solves the problem that traditional monitoring technology cannot identify faults without obvious phenomena such as loose bolts. At the same time, it monitors and analyzes the vegetation information in the area where the tower base is located and the damage information of the tower base, thereby directly focusing on the cause of the tower fault and realizing the monitoring of the root cause of the fault. Finally, it provides fault warning by comprehensively considering the cause of the signal anomaly of the target tower, the type of tower body fault, and the type of tower base fault, which effectively improves the accuracy and response efficiency of the warning and provides a more proactive and accurate guarantee for the safe operation of the tower.

[0018] 2. This application uses acoustic signature technology to monitor the location and type of faults in the tower body. Since tower faults are accompanied by characteristic acoustic signature changes in the early stages, acoustic signature technology can effectively capture these subtle acoustic signature changes. This solves the problem that traditional monitoring technology cannot identify faults such as loose bolts that have no obvious symptoms, and also solves the problem that fault locations cannot be monitored because they are blocked by the tower structure. This effectively improves the accuracy and timeliness of monitoring.

[0019] 3. This application monitors and analyzes vegetation and erosion information in the area where the underground tower foundation is located. Unlike monitoring the tilting phenomenon of the tower, this application focuses directly on the cause of the tower tilting, realizing root cause monitoring of the fault. At the same time, traditional tilt monitoring requires the tower structure deformation to accumulate to a certain extent before it can be realized. At this time, the tower foundation fault is irreversible. However, this application monitors the cause of the fault, which can intervene in the early stage of changes in the tower foundation structure, thereby greatly reducing the difficulty and risk of subsequent tower fault repair.

[0020] 4. This application provides early warnings at different levels by combining the causes of signal anomalies, the types of tower body faults, and the types of tower base faults. This can effectively improve the accuracy and response efficiency of early warnings, optimize resource allocation, and provide more proactive and precise protection for the safe operation of towers. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of this application 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 only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of the system structure connection of this application.

[0023] Figure 2 This is a flowchart illustrating the implementation steps of the method described in this application. Detailed Implementation

[0024] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0025] Reference Figure 1 As shown, this application provides a communication tower fault monitoring system in a first aspect, including the following modules: a signal monitoring module: used to monitor the signal parameters received by the target tower, and then analyze whether the signal is abnormal and the cause of the signal abnormality.

[0026] It should be noted that the signal parameters include signal strength, signal accuracy, and the amount of data carried by the signal.

[0027] In a specific example, the monitoring of signal parameters received by the target tower, and the subsequent analysis of whether the signal is abnormal and the cause of the abnormality, is carried out as follows: Signal parameters of each frequency band within each preset time period of the day are obtained from each receiver on the target tower. The signal parameters received by any receiver in the current preset time period are compared with the signal parameters in the same preset time periods in the past. If the signal parameters received by the receiver in the current preset period are less than the minimum value of the signal parameters in the same preset time periods in the past, or greater than the maximum value of the signal parameters in the same preset time periods in the past, then the signal received by the receiver in the current preset time period is recorded as an abnormal signal. Based on this, the signal parameters received by each receiver on the target tower in the current preset time period are analyzed to obtain each abnormal signal. If the total number of abnormal signals is greater than or equal to half of the total number of receivers on the target tower, it indicates a fault in the target tower; otherwise, it indicates a signal abnormality.

[0028] When the analysis reveals that a fault in the target tower is causing signal anomalies, the signal parameters received by each receiver within the current preset time period are compared with the stored abnormal signal parameter data to determine the cause of the signal anomaly.

[0029] It should be noted that, for example, a day can be divided into 6-hour periods to obtain the preset time periods of the day. The signal parameters received by any receiver in the current preset time period are compared with the signal parameters in the same preset time periods in the past. For example, if the current time period is 0-6, then the corresponding preset time periods in the past are the time periods from 0-6. The above is only an example. The specific division of each time period is set by the relevant staff and is not specifically limited here.

[0030] It should be noted that due to the periodicity of user behavior and the relative stability of the environment, the signals received by the towers at the same time of day on different days have certain similarities.

[0031] It should be noted that the signal parameters received by any receiver in the current preset time period are compared with the signal parameters in the same preset time periods in the past. The signal parameters in the same preset time periods in the past are the signal parameters collected when the tower is fault-free and the signal is fault-free.

[0032] It should be noted that the abnormal signal parameter data was obtained from relevant communication organizations or operators, such as the China Communications Standards Association or telecommunications operators involved in the deployment and maintenance of the target tower.

[0033] It should be noted that, in addition to tower malfunctions, environmental factors and signal transmitter failures can also cause signal anomalies. Among these, tower malfunctions can cause signal anomalies due to tower tilting, settlement, loose tower bolts, and equipment damage.

[0034] The fault monitoring module includes a tower body monitoring unit and a tower base monitoring unit.

[0035] The tower monitoring unit is used to monitor the tower body of the target tower, thereby determining whether the tower body is faulty and the type of fault.

[0036] It should be noted that the types of faults of the target tower include settlement, tilting, loose bolts, component wear, and equipment damage.

[0037] In a specific example, the process of monitoring the target tower to determine whether the target tower is faulty and the cause of the fault is as follows: high-sensitivity microphone arrays are installed in a ring around the target tower at preset distances and preset heights, and environmental sensors are deployed to collect environmental data.

[0038] It should be noted that, for example, setting the preset distance to 40 meters and the preset height to 50 meters, and then installing 6 high-sensitivity microphone arrays in a ring around the target tower, is only an example. The preset distance, preset height, and number of high-sensitivity microphone arrays are all set by the relevant personnel themselves.

[0039] The real-time acoustic data of the target tower is monitored by various high-sensitivity microphone arrays. The real-time acoustic data is compared with the set baseline acoustic data of the entire tower by acoustic analysis algorithm to identify abnormal acoustic data. Then, the fault location and fault acoustic data of the abnormal acoustic data are determined by acoustic localization algorithm and environmental data filtering of background noise. Finally, the fault acoustic data is matched with the stored fault acoustic feature library to obtain the fault type of the target tower body.

[0040] It should be noted that during the same time periods on different days within a preset cycle after the target tower is maintained, such as 9-11 am each day within a cycle, typical acoustic signature features of the tower base, middle platform and top antenna of the target tower are collected by each high-sensitivity microphone array, thereby obtaining the baseline acoustic signature data of the entire tower. Typical acoustic signature features include, for example, the fan running sound in the top antenna area of ​​the target tower at 50-100 Hz during 9-10 am each day.

[0041] It should be noted that the baseline acoustic signature data of the entire tower is updated after each maintenance of the target tower.

[0042] It should be noted that the fault voiceprint feature database can be provided by a voiceprint technology service provider or constructed by relevant personnel themselves. The construction method of the fault voiceprint feature database is existing technology and will not be described in detail here.

[0043] The tower base monitoring unit is used to monitor the vegetation information and tower base damage information in the area where the target tower base is located, and then analyze whether the target tower base is faulty and the type of tower base fault.

[0044] In a specific instance, the vegetation information includes the types of vegetation in the target area, the entanglement density of various types of vegetation on the tower base, root compression pressure, and lateral tension; the damage information includes the damaged area of ​​the target tower base, specifically the area of ​​gnaw damage caused by rodents and the area of ​​corrosive damage caused by soil microorganisms.

[0045] In a specific example, the monitoring of vegetation and damage information within the area where the base of the target iron tower is located is carried out as follows: A circular area with the target iron tower as the center and a preset distance as the radius is defined as the target area. Several micro-root canals are pre-embedded within the target area. A portable imager inside the micro-root canal acquires images of the root system in the soil. Image recognition technology is then used to identify different vegetation types and the root entanglement density of each type of vegetation around the base of the target iron tower, and to obtain the root compression and lateral tension of each type of vegetation. Simultaneously, ground-penetrating radar scanning is used to scan the ground soil corresponding to the base of the target iron tower, thereby obtaining the damaged area of ​​the target iron tower's base.

[0046] It should be noted that the ground-penetrating radar scanning method is an existing technology. It uses ground-penetrating radar to emit high-frequency electromagnetic waves to penetrate the ground soil corresponding to the base of the target tower, thereby identifying the reflected signal of the target tower base. This signal is then compared with the standard signal range of each component of the target tower base in the storage, thereby obtaining the abnormal signal of the target tower base. Based on the coordinate information and scanning step distance of the abnormal signal, the damaged area of ​​the target tower base is calculated. The standard signal range of each component of the target tower base is the reflected signal range collected by ground-penetrating radar when the tower base has not been gnawed by rodents.

[0047] It should be noted that the root compression and lateral tension of various vegetation types were obtained from relevant books and industry publications, such as "Crop Root Physiology and Ecology" and "Botany." For example, the monitoring showed that the entanglement density of tree vegetation around the tower base was 1.2 plants / m². 2 The query results show that the root compression force is 10KN / plant and the lateral tension is 8KN / plant, etc. The above examples are only illustrative and are not the only limitations.

[0048] In a specific example, the further analysis of whether the target tower's foundation is faulty and the type of foundation fault is as follows: The root entanglement density, root compression force, and lateral tension of various types of vegetation in the target area on the target tower's foundation are substituted into a pre-trained tower vegetation fault analysis model. The model's expression outputs the impact assessment coefficient of the target area's vegetation on the target tower's foundation. This coefficient is then compared with a set threshold. If the impact assessment coefficient is greater than or equal to the threshold, it indicates that the vegetation in the target area will cause settlement and tilting of the target tower's foundation. Conversely, if the impact assessment coefficient is less than the threshold, it indicates that the vegetation in the target area is insufficient to affect the target tower's foundation.

[0049] Similarly, the damaged area of ​​the target tower base is compared with the set tower base damage area threshold. When the damaged area of ​​the target tower base is greater than or equal to the set tower base damage area threshold, it indicates that the structure of the target tower base has been damaged. Conversely, when the damaged area of ​​the target tower base is less than the set tower base damage area threshold, it indicates that the damaged area of ​​the target tower base is insufficient to affect the structure of the target tower base.

[0050] It should be noted that before the construction of the target tower, a simulated tower foundation stress test was conducted based on the construction scale, construction materials, and vegetation information of the target area. This test yielded the maximum impact assessment coefficient of vegetation on the tower foundation that the target tower foundation could withstand without settlement or tilting, which was recorded as the impact assessment coefficient threshold. Similarly, a damage area test was conducted on the target tower foundation to determine the maximum damage area that the target tower foundation could withstand under the condition of structural integrity, which was recorded as the tower foundation damage area threshold. The structural integrity of the tower foundation indicates that the load-bearing capacity, settlement control, pull-out force, and shear force of the tower foundation are all within the engineering standards.

[0051] It should be noted that by monitoring and analyzing the vegetation and damage information of the tower base, the damage information of the vegetation at the tower base can be managed in a timely manner when there are no phenomena such as settlement or tilting of the tower base, thereby effectively reducing the probability of tower base failure.

[0052] In a specific example, the process of obtaining the tower vegetation fault analysis model is as follows: the vegetation information corresponding to each tower in the target tower area is obtained from the data center as a data sample, and the settlement and tilt values ​​of each tower are measured to obtain the settlement and tilt values ​​of each tower. The settlement and tilt values ​​of each tower, the corresponding vegetation root entanglement density, root extrusion pressure and lateral tension are preprocessed, and the processed data are divided into training set and validation set according to a preset ratio.

[0053] The elastic network regression model is used as the basic architecture of the tower vegetation failure analysis model. The root entanglement density, root compression pressure and lateral tension of the vegetation corresponding to each tower are used as the input features of the model, and the settlement value and tilt value of each tower are used as the response features of the model. The model is trained and validated to obtain the tower vegetation failure analysis model and model expression.

[0054] It should be noted that the more tower samples selected, the more accurate the tower vegetation fault analysis model will be.

[0055] It should be noted that the preprocessing includes missing value processing, outlier processing, and standardization processing. The missing value processing, outlier processing, and standardization processing are all existing technologies, so they will not be described in detail here.

[0056] It should be noted that the preset ratio is 7:3.

[0057] It should be noted that, for example, the expression for the tower vegetation fault analysis model obtained through training is:

[0058] Where E is the impact assessment coefficient, i represents the vegetation type (i is a positive integer), m is the total number of vegetation types, and a i b i and ci These represent the type coefficients corresponding to root entanglement density, root compression pressure, and lateral tension, respectively, for the i-th type of vegetation. The type coefficient 'a' for arbor vegetation is obtained through training and fitting. i b i and c i The values ​​for a are 0.8, 0.9, and 0.7 respectively, corresponding to the 'a' values ​​for vine-like vegetation. i b i and c i The values ​​for a are 1.0, 0.6, and 0.9, respectively, and the corresponding values ​​for shrub vegetation are a. i b i and c i The values ​​are 0.5, 0.7, and 0.5 respectively, d i f i and t i The root entanglement density, root compression pressure, and lateral tension of the i-th type of vegetation are respectively considered. The above tower vegetation failure analysis model is only an example. Due to the different vegetation types in different regions, the data samples obtained will be different, and the tower vegetation failure analysis model obtained will also be different.

[0059] Fault warning module: Used to provide fault warnings by combining the cause of signal abnormality of the target tower and the type of tower body fault, and to provide fault warnings by combining the cause of signal abnormality of the target tower and the type of tower base fault.

[0060] In a specific example, the fault warning is based on the combined cause of the signal fault and the type of the tower body fault of the target tower. The specific process is as follows: the analyzed cause of the signal anomaly is matched with the type of the tower body fault of the target tower. If the cause of the signal anomaly is consistent with the type of the tower body fault of the target tower, it indicates that the tower body fault of the target tower has caused the signal anomaly. Then, a level one fault warning is issued to the relevant personnel. The warning content includes the type of the tower body fault and the location of the fault.

[0061] If the cause of the signal anomaly is inconsistent with the tower failure of the target tower, a level-two warning will be issued to the relevant personnel. The warning will include the cause of the signal anomaly and the cause and type of the tower failure.

[0062] If the signal is normal but the target tower is faulty, or if the signal is abnormal but the target tower is not faulty, a level three warning will be issued to the relevant personnel. The warning will specify the type of fault in the target tower or the cause of the signal abnormality.

[0063] In a specific example, the fault warning is based on the combined cause of signal failure and the type of tower base failure of the target tower. The specific process is as follows: the analyzed cause of signal abnormality is matched with the type of tower base failure of the target tower. If the cause of signal abnormality is consistent with the type of tower base failure of the target tower, it indicates that the tower base failure of the target tower has caused signal abnormality. Then, a level one fault warning is issued to the relevant personnel. The warning content includes the type of tower base failure of the target tower.

[0064] If the cause of the signal anomaly is inconsistent with the fault in the tower base of the target tower, a level-two warning will be issued to the relevant personnel. The warning will specify the cause of the signal anomaly and the type of fault in the tower base of the target tower.

[0065] If the signal is normal but the target tower's base is faulty, or if the signal is abnormal but the target tower's base is not faulty, a Level 3 warning will be issued to the relevant personnel. The warning will specify the type of fault in the target tower's base or the cause of the signal abnormality.

[0066] It should be noted that the severity of the warnings is ranked as follows: Level 1 warning > Level 2 warning > Level 3 warning.

[0067] Reference Figure 2 As shown, this application provides a method for monitoring communication tower faults in a second aspect, including the following steps: Step 1: Monitor the signal parameters received by the target tower, and then analyze whether the signal is abnormal and the cause of the signal abnormality.

[0068] Step 2: Monitor the tower body of the target tower to determine whether the tower body is faulty and the type of fault.

[0069] Step 3: Monitor the vegetation information and tower base damage information in the area where the target tower's base is located, and then analyze whether the target tower's base is faulty and the type of fault.

[0070] Step 4: Conduct fault warning based on the combined causes of signal anomalies and tower body fault types of the target tower.

[0071] This application provides a communication tower fault monitoring system and method. By monitoring the signal information received by the target tower and effectively capturing the voiceprint information of the target tower using voiceprint technology, the system can determine whether the target tower is faulty and the type of fault. This solves the problem that traditional monitoring technology cannot identify faults without obvious symptoms, such as loose bolts. At the same time, the system monitors and analyzes the vegetation information in the area where the tower base is located and the damage information of the tower base, thereby directly focusing on the cause of the tower fault and realizing the monitoring of the root cause of the fault. Finally, the system provides a fault warning by comprehensively considering the cause of the signal anomaly, the type of tower body fault, and the type of tower base fault, which effectively improves the accuracy and response efficiency of the warning and provides a more proactive and accurate guarantee for the safe operation of the tower.

[0072] The above content is merely an example and illustration of the concept of this application. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the inventive concept or exceed the scope defined in this application, they should all fall within the protection scope of this application.

Claims

1. A communication tower fault monitoring system, characterized in that, include: Signal monitoring module: Used to monitor the signal parameters received by the target tower. It obtains the signal parameters of each frequency band in each preset time period of the day through the receivers on the target tower, and then analyzes whether the signal is abnormal and the cause of the signal abnormality. The fault monitoring module includes a tower body monitoring unit and a tower base monitoring unit; The tower monitoring unit is used to monitor the tower body of the target tower, thereby determining whether the tower body of the target tower is faulty and the type of tower body fault. The tower base monitoring unit is used to monitor the vegetation information and tower base damage information in the area where the tower base of the target iron tower is located, and then analyze whether the tower base of the target iron tower is faulty and the type of tower base fault. Damage information includes the damaged area of ​​the target tower base, specifically the area of ​​damage caused by rodents biting the base and the area of ​​damage caused by soil microorganisms corrosive to the base; The monitoring of vegetation and damage information within the area where the target tower's base is located is carried out, specifically as follows: Centered on the location of the target tower and with a preset distance as the radius, the resulting circular area is designated as the target area. Several micro-root canals are pre-embedded within the target area. A portable imager inside the micro-root canal acquires images of the root system in the soil. Image recognition technology is then used to identify different vegetation types and the root entanglement density of each type of vegetation on the base of the target tower, as well as to obtain the root compression and lateral tension of each type of vegetation. Simultaneously, ground-penetrating radar scanning is used to scan the ground soil corresponding to the base of the target tower, thereby obtaining the damaged area of ​​the base of the target tower. Fault warning module: Used to provide fault warnings by combining the cause of signal abnormality of the target tower and the type of tower body fault, and to provide fault warnings by combining the cause of signal abnormality of the target tower and the type of tower base fault. The fault warning is based on the cause of signal anomalies and the type of tower failure in the integrated target tower. The specific process is as follows: The causes of signal anomalies obtained from the analysis are matched with the types of tower body faults of the target tower. If the causes of signal anomalies are consistent with the types of tower body faults of the target tower, it indicates that the tower body fault of the target tower has caused signal anomalies. At this time, a level one fault warning is issued to the relevant personnel. The warning content includes the type of tower body fault and the location of the fault. If the cause of the signal anomaly is inconsistent with the tower failure of the target tower, a level-two warning will be issued to the relevant personnel. The warning will include the cause of the signal anomaly and the cause and type of the tower failure. If the signal is normal but the target tower is faulty, or if the signal is abnormal but the target tower is not faulty, a level 3 warning will be issued to the relevant personnel. The warning will specify the type of fault in the target tower or the cause of the signal abnormality. The fault early warning system, which identifies the causes of signal anomalies and the types of tower base faults in the integrated target tower, is implemented through the following process: The causes of signal anomalies obtained from the analysis are matched with the types of tower base faults of the target tower. If the causes of signal anomalies are consistent with the types of tower base faults of the target tower, it indicates that the tower base fault of the target tower has caused signal anomalies. At this time, a level one fault warning is issued to the relevant personnel. The warning content includes the types of tower base faults of the target tower. If the cause of the signal anomaly is inconsistent with the tower base failure of the target tower, a level-two warning will be issued to the relevant personnel. The warning will specify the cause of the signal anomaly and the type of tower base failure of the target tower. If the signal is normal but the target tower's base is faulty, or if the signal is abnormal but the target tower's base is not faulty, a Level 3 warning will be issued to the relevant personnel. The warning will specify the type of fault in the target tower's base or the cause of the signal abnormality.

2. The communication tower fault monitoring system according to claim 1, wherein the step of further analyzing whether the tower base of the target tower is faulty and the type of tower base fault, specifically proceeds as follows: Substitute the root entanglement density, root compression force, and lateral tension of various types of vegetation in the target area to the expression of the pre-trained tower vegetation fault analysis model, and output the impact assessment coefficient of the vegetation in the target area on the target tower base through the expression of the tower vegetation fault analysis model. The impact assessment coefficient of the vegetation in the target area on the target tower base is compared with the set impact assessment coefficient threshold. When the impact assessment coefficient of the vegetation in the target area on the target tower base is greater than or equal to the set impact assessment coefficient threshold, it indicates that the vegetation in the target area will cause the target tower base to settle and tilt. Conversely, when the impact assessment coefficient of the vegetation in the target area on the target tower base is less than the set impact assessment coefficient threshold, it indicates that the vegetation in the target area is insufficient to have an impact on the target tower base. Similarly, the damaged area of ​​the target tower base is compared with the set tower base damage area threshold. When the damaged area of ​​the target tower base is greater than or equal to the set tower base damage area threshold, it indicates that the structure of the target tower base has been damaged. Conversely, when the damaged area of ​​the target tower base is less than the set tower base damage area threshold, it indicates that the damaged area of ​​the target tower base is insufficient to affect the structure of the target tower base.

3. The communication tower fault monitoring system according to claim 2, characterized in that, The specific process for obtaining the tower vegetation fault analysis model is as follows: The vegetation information corresponding to each iron tower in the target iron tower area is obtained from the data center as a data sample. The settlement and tilt values ​​of each iron tower are measured to obtain the settlement and tilt values ​​of each iron tower. The settlement and tilt values ​​of each iron tower, the corresponding vegetation root entanglement density, root extrusion pressure and lateral tension are preprocessed. The processed data are divided into training set and validation set according to a preset ratio. The elastic network regression model is used as the basic architecture of the tower vegetation failure analysis model. The root entanglement density, root compression pressure and lateral tension of the vegetation corresponding to each tower are used as the input features of the model, and the settlement value and tilt value of each tower are used as the response features of the model. The model is trained and validated to obtain the expression of the tower vegetation failure analysis model.

4. A method for monitoring communication tower faults using the communication tower fault monitoring system according to any one of claims 1-3, characterized in that, include: Step 1: Monitor the signal parameters received by the target tower. Obtain the signal parameters of each frequency band during each preset time period of the day through the receivers on the target tower, and then analyze whether the signal is abnormal and the cause of the signal abnormality. Step 2: Monitor the tower body of the target tower to determine whether the tower body is faulty and the type of fault. Step 3: Monitor the vegetation information and tower base damage information in the area where the target tower's base is located, and then analyze whether the target tower's base is faulty and the type of fault. Damage information includes the damaged area of ​​the target tower base, specifically the area of ​​damage caused by rodents biting the base and the area of ​​damage caused by soil microorganisms corrosive to the base; The monitoring of vegetation and damage information within the area where the target tower's base is located is carried out, specifically as follows: Centered on the location of the target tower and with a preset distance as the radius, the resulting circular area is designated as the target area. Several micro-root canals are pre-embedded within the target area. A portable imager inside the micro-root canal acquires images of the root system in the soil. Image recognition technology is then used to identify different vegetation types and the root entanglement density of each type of vegetation on the base of the target tower, as well as to obtain the root compression and lateral tension of each type of vegetation. Simultaneously, ground-penetrating radar scanning is used to scan the ground soil corresponding to the base of the target tower, thereby obtaining the damaged area of ​​the base of the target tower. Step 4: Conduct fault warnings by combining the causes of signal anomalies and the types of tower body faults of the target tower; The fault warning is based on the cause of signal anomalies and the type of tower failure in the integrated target tower. The specific process is as follows: The causes of signal anomalies obtained from the analysis are matched with the types of tower body faults of the target tower. If the causes of signal anomalies are consistent with the types of tower body faults of the target tower, it indicates that the tower body fault of the target tower has caused signal anomalies. At this time, a level one fault warning is issued to the relevant personnel. The warning content includes the type of tower body fault and the location of the fault. If the cause of the signal anomaly is inconsistent with the tower failure of the target tower, a level-two warning will be issued to the relevant personnel. The warning will include the cause of the signal anomaly and the cause and type of the tower failure. If the signal is normal but the target tower is faulty, or if the signal is abnormal but the target tower is not faulty, a level 3 warning will be issued to the relevant personnel. The warning will specify the type of fault in the target tower or the cause of the signal abnormality. The fault early warning system, which identifies the causes of signal anomalies and the types of tower base faults in the integrated target tower, is implemented through the following process: The causes of signal anomalies obtained from the analysis are matched with the types of tower base faults of the target tower. If the causes of signal anomalies are consistent with the types of tower base faults of the target tower, it indicates that the tower base fault of the target tower has caused signal anomalies. At this time, a level one fault warning is issued to the relevant personnel. The warning content includes the types of tower base faults of the target tower. If the cause of the signal anomaly is inconsistent with the tower base failure of the target tower, a level-two warning will be issued to the relevant personnel. The warning will specify the cause of the signal anomaly and the type of tower base failure of the target tower. If the signal is normal but the target tower's base is faulty, or if the signal is abnormal but the target tower's base is not faulty, a Level 3 warning will be issued to the relevant personnel. The warning will specify the type of fault in the target tower's base or the cause of the signal abnormality.

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