Communication iron tower safety monitoring system and method

Abstract

The invention is suitable for the field of communication equipment safety monitoring, and provides a communication iron tower safety monitoring method and system, and the method comprises the steps: collecting a sensing data set in a target range of a communication iron tower, and the sensing data set comprises electromagnetic environment data, mechanical vibration data, structural displacement data and peripheral meteorological data; transmitting and storing the sensing data set; acquiring a sensing data set, analyzing the sensing data set in a subentry manner, and generating subentry research and judgment results; the subitem research and judgment result comprises an electromagnetic environment item, a mechanical vibration item, a structural displacement item and a peripheral meteorological item; based on the subentry research and judgment result, a subentry association early warning mechanism is triggered and started, and the operation state of the communication iron tower can be mastered comprehensively by comprehensively collecting various key sensing data. Accurate data analysis and item research and judgment improve the identification capability of potential safety risks. The sub-item association early warning mechanism can timely and accurately give out early warning, and precious processing time is won for maintenance personnel.

Description

Technical Field

[0001] The invention belongs to the field of communication equipment security monitoring, and in particular relates to a communication tower security monitoring system and method. Background Art

[0002] With the rapid development of communication technology, communication towers, as an important infrastructure of communication networks, are widely distributed in cities, villages and other areas. The safe and stable operation of communication towers plays a key role in ensuring the continuous coverage of communication signals and the quality of communication.

[0003] At present, there are many shortcomings in the existing communication tower monitoring methods. Some monitoring methods rely on manual inspections, which are not only inefficient, but also difficult to achieve real-time and comprehensive monitoring due to the wide distribution range and large number of communication towers, which is prone to missed inspections. At the same time, manual inspections are greatly affected by factors such as weather and terrain. Under severe weather conditions, such as heavy rain and strong winds, it is difficult to conduct timely inspections of towers. Some systems that use simple sensors for monitoring have a single monitoring parameter and can only monitor a certain physical quantity of the tower, such as the tilt angle, and cannot comprehensively evaluate the safety status of the tower from multiple dimensions. Therefore, it is of great practical significance to develop a communication tower safety monitoring method and system that can achieve real-time and comprehensive monitoring, multi-parameter analysis, and efficient data processing. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a communication tower safety monitoring method and system, aiming to solve the problems raised in the above background technology.

[0005] The embodiment of the present invention is implemented as follows: on the one hand, a communication tower safety monitoring method, the method comprising:

[0006] Collecting a set of sensor data within the target range of the communication tower, the sensor data set including electromagnetic environment data, mechanical vibration data, structural displacement data and surrounding meteorological data;

[0007] Transmit and store sensor data sets;

[0008] Acquire sensor data sets, analyze sensor data sets by item, and generate comprehensive research and judgment results;

[0009] The sub-item assessment results include: electromagnetic environment, mechanical vibration, structural displacement, and surrounding meteorological items;

[0010] Based on the sub-item analysis results, the sub-item correlation warning mechanism is triggered and activated.

[0011] As a further solution of the present invention, the sensor data set collected within the target range of the communication tower specifically includes:

[0012] Arrange a number of sub-item sensors, wherein the sub-item sensors include electromagnetic sensors, vibration sensors, displacement sensors and meteorological sensors;

[0013] Obtain electromagnetic field intensity data and electromagnetic frequency data within the target range of the communication tower collected by the electromagnetic sensor in real time;

[0014] Obtain vibration information in different directions within the target range of the communication tower collected by the vibration sensor in real time.

[0015] Acquire the displacement data of the monitoring tower structure within the target range of the communication tower collected by the displacement sensor in real time;

[0016] Obtain wind speed, wind direction, temperature, humidity, and rainfall information within the target range of the communication tower collected in real time by meteorological sensors.

[0017] As a further solution of the present invention, the sensor data set collected within the target range of the communication tower specifically includes:

[0018] Confirm the basic risk assessment indicators of electromagnetic sensors, which include: the multiples of electromagnetic field intensity exceeding the standard and the multiples of electromagnetic frequency exceeding the standard;

[0019] Confirm the basic risk assessment indicators of the vibration sensor, wherein the basic risk assessment indicators of the vibration sensor include: vibration frequency deviation rate and amplitude exceeding the standard multiple;

[0020] Confirming the basic risk assessment indicators of the displacement sensor, wherein the basic risk assessment indicators of the displacement sensor include: displacement change rate and cumulative displacement;

[0021] Confirm the basic risk assessment indicators of meteorological sensors, which include: wind speed and rainfall.

[0022] As a further solution of the present invention, the acquiring of the sensor data set, the item-by-item analysis of the sensor data set, and the generation of item-by-item analysis results specifically include:

[0023] Correlate the basic evaluation indicators of electromagnetic sensors and vibration sensors, and calculate the correlation indicators of electromagnetic fluctuation coefficients;

[0024] Correlate the basic evaluation indicators of vibration sensors and displacement sensors, and calculate the correlation indicators of displacement accumulation rate;

[0025] Correlate meteorological sensors with basic evaluation indicators located at the sensors and calculate rainfall sedimentation coefficient correlation indicators;

[0026] Obtain the correlation index of electromagnetic fluctuation coefficient, displacement accumulation rate and rainfall sedimentation coefficient, and calculate the comprehensive risk score;

[0027] The calculation process of the comprehensive risk score is as follows:

[0028] ;

[0029] In the formula, is the number of associated indicators, is the weight of each related indicator, Calculate values ​​for each associated indicator.

[0030] As a further solution of the present invention, the obtaining of the sensor data set, analyzing the sensor data set by item, and generating a comprehensive analysis result specifically further includes:

[0031] Define the range of comprehensive risk scores;

[0032] Based on the comprehensive risk score and the range of the comprehensive risk score, the risk level is judged and generated.

[0033] As a further solution of the present invention, on the other hand, a communication tower safety monitoring system is provided, the system comprising:

[0034] A collection module is used to collect sensor data sets within the target range of the communication tower;

[0035] The sensor data set includes electromagnetic environment data, mechanical vibration data, structural displacement data and surrounding meteorological data;

[0036] A transmission and storage module, used for transmitting and storing sensor data sets;

[0037] An acquisition module, used for acquiring a set of sensor data;

[0038] Itemized analysis module, used for itemized analysis of sensor data sets;

[0039] A generation module is used to generate comprehensive research and judgment results;

[0040] The sub-item assessment results include: electromagnetic environment, mechanical vibration, structural displacement, and surrounding meteorological items;

[0041] The early warning module is used to trigger and start the sub-item-related early warning mechanism based on the sub-item analysis results.

[0042] As a further solution of the present invention, the acquisition module specifically includes:

[0043] A sub-item sensor unit is used to arrange a number of sub-item sensors;

[0044] The first acquisition unit is used to acquire electromagnetic field intensity data and electromagnetic frequency data within the target range of the communication tower collected by the electromagnetic sensor in real time;

[0045] The second acquisition unit is used to acquire vibration information in different directions within the target range of the communication tower collected in real time by the vibration sensor;

[0046] The third acquisition unit is used to acquire the displacement data of the monitoring tower structure within the target range of the communication tower collected by the displacement sensor in real time;

[0047] The fourth acquisition unit is used to obtain the wind speed, wind direction, temperature, humidity and rainfall information within the target range of the communication tower collected in real time by the meteorological sensor.

[0048] As a further solution of the present invention, the sub-item analysis module specifically includes:

[0049] A first correlation calculation unit, used to correlate basic evaluation indicators of the electromagnetic sensor and the vibration sensor, and calculate an electromagnetic fluctuation coefficient correlation indicator;

[0050] A second correlation calculation unit is configured to correlate basic evaluation indicators of the vibration sensor and the displacement sensor and calculate a displacement accumulation rate correlation indicator;

[0051] A third correlation calculation unit is used to correlate the meteorological sensor and the basic evaluation index located at the sensor to calculate the rainfall sedimentation coefficient correlation index;

[0052] An acquisition unit, used to acquire an electromagnetic wave coefficient correlation index, a displacement accumulation rate correlation index, and a rainfall sedimentation coefficient correlation index;

[0053] Comprehensive calculation unit, used to calculate the comprehensive risk score.

[0054] The embodiment of the present invention provides a communication tower safety monitoring method and system. The method and system can comprehensively grasp the operating status of the communication tower by comprehensively collecting multiple key sensor data. Accurate data analysis and item-by-item assessment improve the ability to identify potential safety risks. The item-by-item associated warning mechanism can issue warnings in a timely and accurate manner, which can buy valuable processing time for maintenance personnel, reduce the probability of accidents, and ensure the long-term stable and safe operation of the communication tower. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 The present invention is a main flow chart of a communication tower safety monitoring method.

[0056] Figure 2 The present invention is a flow chart of a first embodiment of a method for safety monitoring of a communication tower for collecting a set of sensor data within a target range of the communication tower.

[0057] Figure 3 The present invention is a flow chart of a second embodiment of a method for safely monitoring a communication tower for collecting a set of sensor data within a target range of a communication tower.

[0058] Figure 4 The invention is a flowchart of the first embodiment of obtaining sub-item analysis of a sensor data set and generating sub-item analysis results in a communication tower safety monitoring method.

[0059] Figure 5 The present invention is a flowchart of the second embodiment of obtaining sub-item analysis of a sensor data set and generating sub-item analysis results in a communication tower safety monitoring method.

[0060] Figure 6 It is a main structural diagram of a communication tower safety monitoring system.

[0061] Figure 7 It is a structural block diagram of the acquisition module in the communication tower safety monitoring system.

[0062] Figure 8 The present invention is a structural block diagram of a sub-item analysis module in a communication tower safety monitoring system. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0064] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0065] The present invention provides a communication tower safety monitoring method and system, which solves the technical problems in the background technology.

[0066] like Figure 1 As shown, it is a main flow chart of a communication tower safety monitoring method provided by an embodiment of the present invention, and the communication tower safety monitoring method comprises:

[0067] Step S100: collecting a set of sensor data within the target range of the communication tower;

[0068] The sensor data set includes electromagnetic environment data, mechanical vibration data, structural displacement data and surrounding meteorological data;

[0069] Step S200: transmitting and storing a set of sensor data;

[0070] Step S300: Acquire a sensor data set, analyze the sensor data set by item, and generate a comprehensive analysis result;

[0071] The sub-item assessment results include: electromagnetic environment, mechanical vibration, structural displacement, and surrounding meteorological items.

[0072] Step S400: Based on the sub-item analysis results, trigger and start the sub-item associated warning mechanism.

[0073] When this embodiment is applied, first, by setting up a variety of sensors within the target range of the communication tower, a sensor data set including electromagnetic environment data, mechanical vibration data, structural displacement data and surrounding meteorological data is collected. Electromagnetic sensors are arranged at key locations and surrounding interference areas to capture electromagnetic field information in real time; vibration sensors are installed at locations such as the tower body and crossarms to accurately collect vibration data in different directions; displacement sensors use high-precision equipment and are set at key locations such as the top of the tower and the middle of the tower body to monitor displacement; meteorological sensors are set at the top or in an open area to obtain meteorological information. Then, the collected sensor data set is transmitted to the data processing center via wired or wireless (such as LoRa, ZigBee or 4G / 5G) and stored to ensure the integrity and traceability of the data. Afterwards, the sensor data set is analyzed by item to generate a comprehensive analysis result, covering electromagnetic environment items, mechanical vibration items, structural displacement items, and surrounding meteorological items. Finally, based on the results of the sub-item analysis, the sub-item associated warning mechanism is triggered and started. When one or more data are abnormal, the warning information is sent to relevant personnel through various alarms and other means, and the data is stored for a long time for subsequent analysis. This method and system can fully grasp the operating status of the communication tower by comprehensively collecting a variety of key sensor data. Accurate data analysis and sub-item analysis improve the ability to identify potential safety risks. The sub-item associated warning mechanism can issue warnings in a timely and accurate manner, which can buy valuable processing time for maintenance personnel, reduce the probability of accidents, and ensure the long-term stable and safe operation of the communication tower.

[0074] like Figure 2 As shown, as a preferred embodiment of the present invention, the sensor data set collected within the target range of the communication tower specifically includes:

[0075] Step S101: arranging a number of sub-item sensors;

[0076] The sub-item sensors include electromagnetic sensors, vibration sensors, displacement sensors and meteorological sensors;

[0077] Step S102: Acquire electromagnetic field strength data and electromagnetic frequency data within the target range of the communication tower collected by the electromagnetic sensor in real time;

[0078] Step S103: Acquire vibration information in different directions within the target range of the communication tower collected in real time by the vibration sensor;

[0079] Step S104: Acquire the displacement data of the monitoring tower structure within the target range of the communication tower collected in real time by the displacement sensor;

[0080] Step S105: obtaining wind speed, wind direction, temperature, humidity, and rainfall information within the target range of the communication tower collected in real time by the meteorological sensor;

[0081] When this embodiment is applied, first, the layout of the sub-item sensors is carried out. Electromagnetic sensors, vibration sensors, displacement sensors and meteorological sensors are reasonably distributed within the communication tower and its target range. Subsequently, data acquisition work is carried out for different types of sensors. Electromagnetic sensors are used to collect electromagnetic field strength data and electromagnetic frequency data within the target range of the communication tower in real time, which helps to timely discover abnormal changes in the electromagnetic environment and evaluate its potential impact on communication equipment and surrounding electronic systems. The vibration sensor captures vibration information in different directions within the target range of the communication tower in real time. By analyzing these vibration data, it can be determined whether the tower is affected by external factors (such as wind, earthquake, etc.) and whether the stability of its own structure is good. The displacement sensor is used to monitor the displacement data of the tower structure in real time. Small displacement changes may indicate potential problems in the tower structure. Timely acquisition of displacement data can provide early warning and avoid the occurrence of safety accidents. The meteorological sensor collects meteorological information such as wind speed, wind direction, temperature and humidity, and rainfall within the target range of the communication tower in real time. The impact of meteorological conditions on the communication tower cannot be ignored. For example, strong winds may cause the tower to shake, and heavy rains may affect the stability of the tower foundation. By monitoring meteorological data, the impact of meteorological factors on tower safety can be comprehensively evaluated.

[0082] like Figure 3 As shown, as a preferred embodiment of the present invention, the sensor data set collected within the target range of the communication tower specifically includes:

[0083] Step S106: confirming the basic risk assessment indicators of the electromagnetic sensor, wherein the basic risk assessment indicators of the electromagnetic sensor include: the multiple of the electromagnetic field intensity exceeding the standard, and the multiple of the electromagnetic frequency exceeding the standard;

[0084] Step S107: confirming the basic risk assessment indicators of the vibration sensor, wherein the basic risk assessment indicators of the vibration sensor include: vibration frequency deviation rate and amplitude exceeding standard multiples;

[0085] Step S108: confirming the displacement sensor risk basic assessment indicators, wherein the displacement sensor risk basic assessment indicators include: displacement change rate and cumulative displacement;

[0086] Step S109: confirming the basic risk assessment indicators of the meteorological sensor, wherein the basic risk assessment indicators of the meteorological sensor include: wind speed and rainfall.

[0087] When this embodiment is applied, by selecting the excess multiples of electromagnetic field intensity and electromagnetic frequency as the basic evaluation indicators of electromagnetic environment data, excessive electromagnetic field intensity and abnormal electromagnetic frequency may interfere with communication equipment, and even affect surrounding electronic equipment and human health; selecting vibration frequency deviation rate and amplitude excess multiples as the basic evaluation indicators of mechanical vibration data, abnormal deviation of vibration frequency and excessive amplitude may imply the instability of the tower structure, which may easily cause structural fatigue and damage; selecting displacement change rate and cumulative displacement as the basic evaluation indicators of structural displacement data, displacement change rate and cumulative displacement can reflect the deformation of the tower structure, and excessive displacement change rate and cumulative displacement may indicate that there is a problem with the tower foundation or tower structure, and there is a risk of collapse. Select wind speed and rainfall as the basic evaluation indicators of surrounding meteorological data, strong winds may generate large lateral forces on the tower, and heavy rains may affect the stability of the tower foundation.

[0088] like Figure 4 As shown, as a preferred embodiment of the present invention, the acquisition of the sensor data set, the analysis of the sensor data set by item, and the generation of the item-by-item analysis results specifically include:

[0089] Step S301: Correlate basic evaluation indicators of electromagnetic sensors and vibration sensors, and calculate electromagnetic wave coefficient correlation indicators;

[0090] Step S302: Correlate basic evaluation indicators of the vibration sensor and the displacement sensor, and calculate a displacement accumulation rate correlation indicator;

[0091] Step S303: Correlate the meteorological sensor with the basic evaluation index located at the sensor, and calculate the rainfall sedimentation coefficient correlation index;

[0092] Step S304: obtaining the electromagnetic fluctuation coefficient correlation index, the displacement accumulation rate correlation index and the rainfall sedimentation coefficient correlation index, and calculating the comprehensive risk score;

[0093] The calculation process of the comprehensive risk score is as follows:

[0094] ;

[0095] In the formula, is the number of associated indicators, is the weight of each related indicator, Calculate values ​​for each associated indicator

[0096] It should be understood that by correlating the basic evaluation indicators of electromagnetic sensors and vibration sensors, the electromagnetic fluctuation coefficient correlation indicator is calculated. The electromagnetic fluctuation coefficient correlation indicator is equal to the ratio of the maximum fluctuation value of the electromagnetic field intensity caused by vibration within a certain time period to the average value of the electromagnetic field intensity within the time period. The calculation formula of the electromagnetic fluctuation coefficient correlation indicator is: Electromagnetic fluctuation coefficient = (maximum fluctuation value of electromagnetic field intensity ÷ average value of electromagnetic field intensity) × 100%; the basic evaluation indicators of vibration sensors and displacement sensors are correlated to calculate the displacement accumulation rate correlation indicator, that is, the cumulative amount of structural displacement per unit time; the basic evaluation indicators of meteorological sensors and sensors are correlated to calculate the rainfall sedimentation coefficient correlation indicator, which represents the settlement of the tower foundation under unit rainfall; then the electromagnetic fluctuation coefficient correlation indicator, the displacement accumulation rate correlation indicator and the rainfall sedimentation coefficient correlation indicator are obtained to calculate the comprehensive risk score.

[0097] like Figure 5 As shown, as a preferred embodiment of the present invention, the acquisition of sensor data set, item-by-item analysis of the sensor data set, and generation of comprehensive analysis results specifically include:

[0098] Step S305: define the risk comprehensive score range interval;

[0099] Step S306: Based on the comprehensive risk score and the range of the comprehensive risk score, determine and generate the risk level;

[0100] When this embodiment is applied, the risk comprehensive score range interval is: low risk [0, 20]; medium risk [20, 50]; high risk [50, 80]; extremely high risk [80, 100]. The risk comprehensive score is calculated, and it is determined which range the risk comprehensive score falls into, and the corresponding risk level is generated.

[0101] like Figure 6 As shown, as another preferred embodiment of the present invention, on the other hand, a communication tower security monitoring system, the system comprises:

[0102] The acquisition module 100 is used to collect sensor data sets within the target range of the communication tower;

[0103] The sensor data set includes electromagnetic environment data, mechanical vibration data, structural displacement data and surrounding meteorological data;

[0104] The transmission and storage module 200 is used to transmit and store the sensor data set;

[0105] An acquisition module 300 is used to acquire a set of sensor data;

[0106] An item analysis module 400 is used to analyze the sensor data set item by item;

[0107] A generating module 500 is used to generate a comprehensive analysis result;

[0108] The sub-item assessment results include: electromagnetic environment, mechanical vibration, structural displacement, and surrounding meteorological items;

[0109] The early warning module 600 is used to trigger and start the early warning mechanism of the sub-item association based on the sub-item analysis results;

[0110] When this embodiment is applied, the collection module 100 collects the sensor data set within the target range of the communication tower, the transmission storage module 200 transmits and stores the sensor data set, the acquisition module 300 acquires the sensor data set, the sub-item analysis module 400 analyzes the sensor data set by sub-items, the generation module 500 generates a comprehensive analysis result, and based on the sub-item analysis result, the warning module 600 triggers and starts the sub-item associated warning mechanism.

[0111] like Figure 7 As shown, as another preferred embodiment of the present invention, the acquisition module 100 specifically includes:

[0112] The sub-item sensor unit 101 is used to arrange a plurality of sub-item sensors;

[0113] The first acquisition unit 102 is used to acquire electromagnetic field strength data and electromagnetic frequency data within the target range of the communication tower collected by the electromagnetic sensor in real time;

[0114] The second acquisition unit 103 is used to acquire vibration information in different directions within the target range of the communication tower collected in real time by the vibration sensor;

[0115] The third acquisition unit 104 is used to acquire the displacement data of the monitoring tower structure within the target range of the communication tower collected by the displacement sensor in real time;

[0116] The fourth acquisition unit 105 is used to obtain the wind speed, wind direction, temperature, humidity and rainfall information within the target range of the communication tower collected in real time by the meteorological sensor.

[0117] When this embodiment is applied, several sub-item sensors are arranged through the sub-item sensor unit 101. The first acquisition unit 102 acquires the electromagnetic field strength data and electromagnetic frequency data within the target range of the communication tower collected in real time by the electromagnetic sensor. The second acquisition unit 103 acquires the vibration information in different directions within the target range of the communication tower collected in real time by the vibration sensor. The third acquisition unit 104 acquires the displacement data of the monitoring tower structure within the target range of the communication tower collected in real time by the displacement sensor. The fourth acquisition unit 105 acquires the wind speed, wind direction, temperature and humidity, and rainfall information within the target range of the communication tower collected in real time by the meteorological sensor.

[0118] like Figure 8As shown, as another preferred embodiment of the present invention, the sub-item analysis module 400 specifically includes:

[0119] A first correlation calculation unit 401 is used to correlate basic evaluation indicators of electromagnetic sensors and vibration sensors and calculate an electromagnetic wave coefficient correlation indicator;

[0120] A second correlation calculation unit 402 is configured to correlate basic evaluation indicators of the vibration sensor and the displacement sensor and calculate a displacement accumulation rate correlation indicator;

[0121] The third correlation calculation unit 403 is used to correlate the meteorological sensor with the basic evaluation index located at the sensor and calculate the rainfall sedimentation coefficient correlation index;

[0122] An acquisition unit 404 is used to acquire an electromagnetic wave coefficient correlation index, a displacement accumulation rate correlation index, and a rainfall sedimentation coefficient correlation index;

[0123] The comprehensive calculation unit 405 is used to calculate the comprehensive risk score.

[0124] When this embodiment is applied, the first correlation calculation unit 401 correlates the basic evaluation indicators of the electromagnetic sensor and the vibration sensor, and calculates the electromagnetic fluctuation coefficient correlation indicator. The second correlation calculation unit 402 correlates the basic evaluation indicators of the vibration sensor and the displacement sensor, and calculates the displacement accumulation rate correlation indicator. The third correlation calculation unit 403 correlates the basic evaluation indicators of the meteorological sensor and the location sensor, and calculates the rainfall sedimentation coefficient correlation indicator. The acquisition unit 404 acquires the electromagnetic fluctuation coefficient correlation indicator, the displacement accumulation rate correlation indicator and the rainfall sedimentation coefficient correlation indicator. The comprehensive calculation unit calculates the comprehensive risk score.

[0125] In the above embodiment of the present invention, a communication tower safety monitoring method is provided, and a communication tower safety monitoring system is provided. First, by setting a variety of sensors within the target range of the communication tower, a sensor data set including electromagnetic environment data, mechanical vibration data, structural displacement data and surrounding meteorological data is collected. Electromagnetic sensors are arranged at key locations and surrounding interference areas to capture electromagnetic field information in real time; vibration sensors are installed at locations such as the tower body and crossarms to accurately collect vibration data in different directions; displacement sensors use high-precision equipment and are set at key locations such as the top of the tower and the middle of the tower body to monitor displacement; meteorological sensors are set at the top or in an open area to obtain meteorological information. Then, the collected sensor data set is transmitted to the data processing center by wire or wireless (such as LoRa, ZigBee or 4G / 5G) and stored to ensure the integrity and traceability of the data. Afterwards, the sensor data set is analyzed by item, thereby generating a comprehensive judgment result, covering electromagnetic environment items, mechanical vibration items, structural displacement items, and surrounding meteorological items. Finally, based on the results of the sub-item analysis, the sub-item associated warning mechanism is triggered and started. When one or more data are abnormal, the warning information is sent to relevant personnel through various alarms and other means, and the data is stored for a long time for subsequent analysis. This method and system can fully grasp the operating status of the communication tower by comprehensively collecting a variety of key sensor data. Accurate data analysis and sub-item analysis improve the ability to identify potential safety risks. The sub-item associated warning mechanism can issue warnings in a timely and accurate manner, which can buy valuable processing time for maintenance personnel, reduce the probability of accidents, and ensure the long-term stable and safe operation of the communication tower.

[0126] In order to load the above-mentioned method and system and enable it to run smoothly, the system, in addition to the various modules mentioned above, may also include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, processors and memories, etc.

[0127] The processor may be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the system, and various interfaces and lines are used to connect various parts.

[0128] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0129] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0130] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A communication tower safety monitoring method, characterized in that: The method comprises: Collecting a set of sensor data within the target range of the communication tower, the sensor data set including electromagnetic environment data, mechanical vibration data, structural displacement data and surrounding meteorological data; Transmit and store sensor data sets; Acquire sensor data sets, analyze sensor data sets by item, and generate comprehensive research and judgment results; The sub-item assessment results include: electromagnetic environment, mechanical vibration, structural displacement, and surrounding meteorological items; Based on the sub-item analysis results, the sub-item correlation warning mechanism is triggered and activated.

2. The communication tower safety monitoring method according to claim 1, characterized in that: The sensor data set collected within the target range of the communication tower specifically includes: Arrange a number of sub-item sensors, wherein the sub-item sensors include electromagnetic sensors, vibration sensors, displacement sensors and meteorological sensors; Obtain electromagnetic field intensity data and electromagnetic frequency data within the target range of the communication tower collected by the electromagnetic sensor in real time; Obtain vibration information in different directions within the target range of the communication tower collected by the vibration sensor in real time. Acquire the displacement data of the monitoring tower structure within the target range of the communication tower collected by the displacement sensor in real time; Obtain wind speed, wind direction, temperature, humidity, and rainfall information within the target range of the communication tower collected in real time by meteorological sensors.

3. The communication tower safety monitoring method according to claim 1, characterized in that: The sensor data set collected within the target range of the communication tower specifically includes: Confirm the basic risk assessment indicators of electromagnetic sensors, which include: the multiples of electromagnetic field intensity exceeding the standard and the multiples of electromagnetic frequency exceeding the standard; Confirm the basic risk assessment indicators of the vibration sensor, wherein the basic risk assessment indicators of the vibration sensor include: vibration frequency deviation rate and amplitude exceeding the standard multiple; Confirming the basic risk assessment indicators of the displacement sensor, wherein the basic risk assessment indicators of the displacement sensor include: displacement change rate and cumulative displacement; Confirm the basic risk assessment indicators of meteorological sensors, which include: wind speed and rainfall.

4. The communication tower safety monitoring method according to claim 1, characterized in that: The obtaining of the sensor data set, analyzing the sensor data set by item, and generating the item-by-item analysis results specifically include: Correlate the basic evaluation indicators of electromagnetic sensors and vibration sensors, and calculate the correlation indicators of electromagnetic fluctuation coefficients; Correlate the basic evaluation indicators of vibration sensors and displacement sensors, and calculate the correlation indicators of displacement accumulation rate; Correlate meteorological sensors with basic evaluation indicators located at the sensors and calculate rainfall sedimentation coefficient correlation indicators; Obtain the correlation index of electromagnetic fluctuation coefficient, displacement accumulation rate and rainfall sedimentation coefficient, and calculate the comprehensive risk score; The calculation process of the comprehensive risk score is as follows: ； In the formula, is the number of associated indicators, is the weight of each related indicator, Calculate values ​​for each associated indicator.

5. The communication tower safety monitoring method according to claim 4, characterized in that: The obtaining of the sensor data set, analyzing the sensor data set by item, and generating a comprehensive analysis result specifically includes: Define the range of comprehensive risk scores; Based on the comprehensive risk score and the range of the comprehensive risk score, the risk level is judged and generated.

6. A communication tower safety monitoring system, characterized in that: The system comprises: A collection module is used to collect sensor data sets within the target range of the communication tower; The sensor data set includes electromagnetic environment data, mechanical vibration data, structural displacement data and surrounding meteorological data; A transmission and storage module, used for transmitting and storing sensor data sets; An acquisition module, used for acquiring a set of sensor data; Itemized analysis module, used for itemized analysis of sensor data sets; A generation module is used to generate comprehensive research and judgment results; The sub-item assessment results include: electromagnetic environment, mechanical vibration, structural displacement, and surrounding meteorological items; The early warning module is used to trigger and start the sub-item-related early warning mechanism based on the sub-item analysis results.

7. The communication tower safety monitoring system according to claim 6, characterized in that: The acquisition module specifically includes: A sub-item sensor unit is used to arrange a number of sub-item sensors; The first acquisition unit is used to acquire electromagnetic field intensity data and electromagnetic frequency data within the target range of the communication tower collected by the electromagnetic sensor in real time; The second acquisition unit is used to acquire vibration information in different directions within the target range of the communication tower collected in real time by the vibration sensor; The third acquisition unit is used to acquire the displacement data of the monitoring tower structure within the target range of the communication tower collected by the displacement sensor in real time; The fourth acquisition unit is used to obtain the wind speed, wind direction, temperature, humidity and rainfall information within the target range of the communication tower collected in real time by the meteorological sensor.

8. The communication tower safety monitoring system according to claim 6, characterized in that: The sub-item analysis module specifically includes: A first correlation calculation unit, used to correlate basic evaluation indicators of the electromagnetic sensor and the vibration sensor, and calculate an electromagnetic fluctuation coefficient correlation indicator; A second correlation calculation unit is configured to correlate basic evaluation indicators of the vibration sensor and the displacement sensor and calculate a displacement accumulation rate correlation indicator; A third correlation calculation unit is used to correlate the meteorological sensor and the basic evaluation index located at the sensor to calculate the rainfall sedimentation coefficient correlation index; An acquisition unit, used to acquire an electromagnetic wave coefficient correlation index, a displacement accumulation rate correlation index, and a rainfall sedimentation coefficient correlation index; Comprehensive calculation unit, used to calculate the comprehensive risk score.

Images