Outdoor advertisement terminal safety management system based on Internet of Things

Abstract

The invention relates to the technical field of safety management, in particular to an outdoor advertisement terminal safety management system based on the Internet of Things, which comprises an environment monitoring module, a structure health monitoring module, a data analysis module, a response and control module, a maintenance scheduling module and a user interaction module, the environment data around the advertisement terminal is monitored in real time, the structural health monitoring module continuously monitors the structural integrity of the advertisement terminal through a vibration sensor and a sound wave detection technology, and the data analysis module evaluates the current safety condition and predicts the future maintenance requirement. The response and control module adjusts the setting of the advertisement terminal or activates a preset early warning system, the maintenance scheduling module is responsible for notifying a maintenance team, and the user interaction module provides an interface. According to the invention, comprehensive and real-time safety management of the outdoor advertisement terminal can be realized, and the adaptability, the reliability and the user experience of the system are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of security management, and in particular to an outdoor advertising terminal security management system based on the Internet of Things. Background Art

[0002] In the current outdoor advertising industry, traditional advertising terminal management mainly relies on manual inspections and basic electronic monitoring systems. These systems usually only provide limited environmental monitoring and structural detection functions, and cannot fully and real-time grasp the operating status and safety status of advertising terminals. With the development of Internet of Things technology, the management efficiency and safety of outdoor advertising terminals can be significantly improved by integrating advanced sensors, real-time data analysis and remote control technology. However, most existing solutions lack systematicity and intelligence, and it is difficult to meet the increasingly complex security management needs.

[0003] Existing technologies have technical problems in the following aspects: First, traditional environmental monitoring methods cannot capture environmental changes around advertising terminals in real time and comprehensively, and it is difficult to warn of potential environmental risks in advance. Second, structural health monitoring usually relies on regular manual inspections, which cannot achieve continuous monitoring and early warning of advertising terminal structures. Third, data analysis lacks intelligence and predictive capabilities, and cannot effectively integrate environmental data and structural health data for comprehensive analysis and risk prediction. Finally, existing systems usually lack flexible threshold setting functions and user-friendly interactive interfaces, making it difficult for users to adjust monitoring parameters in a timely manner and obtain intuitive risk assessments and maintenance recommendations. Summary of the invention

[0004] Based on the above purpose, the present invention provides an outdoor advertising terminal security management system based on the Internet of Things.

[0005] The outdoor advertising terminal security management system based on the Internet of Things includes an environmental monitoring module, a structural health monitoring module, a data analysis module, a response and control module, a maintenance scheduling module and a user interaction module, among which;

[0006] The environmental monitoring module is equipped with a variety of sensors to monitor the environmental data around the advertising terminal in real time, including wind speed, humidity, temperature and noise level;

[0007] The structural health monitoring module uses vibration sensors and acoustic wave detection technology to continuously monitor the structural integrity of the advertising terminal;

[0008] The data analysis module integrates and analyzes data from the environmental monitoring module and the structural health monitoring module to assess the current safety status and predict future maintenance needs;

[0009] The response and control module automatically adjusts the advertising terminal settings or activates a preset early warning system according to the analysis results provided by the data analysis module;

[0010] The maintenance scheduling module is responsible for notifying the maintenance team when maintenance or emergency intervention is identified;

[0011] The user interaction module provides an interface that allows users to access real-time data, maintenance updates and security alerts.

[0012] Optionally, the environment monitoring module specifically includes:

[0013] Wind speed sensor: A thermoelectric anemometer or ultrasonic anemometer is used to capture wind speed changes around the billboard;

[0014] Humidity sensor: Use capacitive humidity sensor or resistive humidity sensor to monitor the relative humidity in the air in real time;

[0015] Temperature sensor: Use thermocouple temperature sensor or thermistor temperature sensor to monitor air temperature in real time;

[0016] Noise sensor: The noise sensor picks up ambient sound through a microphone, calculates the decibel value of the noise through the internal processing unit of the noise sensor, and monitors the noise level in the environment.

[0017] Optionally, the structural health monitoring module specifically includes:

[0018] Vibration sensor: The vibration sensor is installed in the key structural parts of the advertising terminal to obtain vibration data. The key structural parts include support rods, connection points and panels;

[0019] Acoustic wave sensor: uses acoustic wave detection technology to monitor the structural integrity of the advertising terminal, including an acoustic wave transmitter and receiver, which are installed on the structural surface of the advertising terminal, emit high-frequency sound waves, and receive sound wave data after passing through the structure.

[0020] Optionally, the data analysis module includes:

[0021] Data collection and integration: The data analysis module collects the environmental data collected by the environmental monitoring module and the vibration data and acoustic wave data collected by the structural health monitoring module, and performs data cleaning, outlier detection, time synchronization and format standardization on the environmental data, vibration data and acoustic wave data to form a unified analysis data set;

[0022] Vibration analysis and acoustic wave analysis: Through frequency and time domain analysis, abnormal patterns in vibration data are identified, such as high-frequency vibrations or sudden amplitude changes, which may indicate structural damage. The received acoustic wave data is analyzed to identify small changes and cracks in the structure.

[0023] Environmental impact assessment: Combined with environmental data, evaluate the impact of environmental factors on the structure of the advertising terminal. For example, strong winds, high humidity or extreme temperatures may cause increased structural stress or material deterioration.

[0024] Comprehensive safety assessment: The results of vibration analysis and acoustic wave analysis are combined with environmental data, and the support vector machine algorithm is applied to evaluate the current safety status. The support vector machine separates data of different safety status by finding the best classification boundary, and generates a comprehensive safety score to represent the current health status of the advertising terminal.

[0025] Optionally, the data analysis module further includes:

[0026] Trend analysis: Apply the autoregressive integrated moving average model to perform time series analysis to predict future environmental changes and structural health status;

[0027] Machine learning prediction: predicting future structural problems and maintenance needs by building random forest models;

[0028] Predicted Safety Score: Generates a predicted comprehensive safety score based on the output of the autoregressive integrated moving average model and the random forest model.

[0029] Optionally, the response and control module specifically includes:

[0030] Receiving analysis results: The response and control module receives the output of the data analysis module, including the comprehensive safety assessment results, predicted maintenance needs, and predicted safety scores;

[0031] Threshold judgment: Preset security thresholds. Based on the predicted security scores, the response and control module automatically adjusts the advertising terminal settings or activates the preset early warning system.

[0032] Optionally, the maintenance scheduling module specifically includes:

[0033] Receive warning information: The maintenance scheduling module receives threshold judgment results, comprehensive safety assessment results, and structural problems and maintenance requirements predicted by the random forest model;

[0034] Maintenance task generation: Create maintenance tasks based on received warning information;

[0035] Notify maintenance team: Notify maintenance team through multiple communication methods, including SMS, email and mobile app notifications, ensuring that notification content is complete and accurate, including task details and execution time;

[0036] Maintenance feedback: After maintenance is completed, the maintenance team submits a detailed task report, including the actual maintenance operations performed, problems encountered, and solutions.

[0037] Optionally, the user interaction module specifically includes:

[0038] User interaction interface: The user interaction module provides a user interaction interface, which includes home page, real-time data, maintenance updates, security alerts, and threshold settings;

[0039] Functional design: The user interaction module provides operational functions, including data visualization, task management, alarm management, and setting safety thresholds.

[0040] Optionally, the user interaction module also includes a data export function, where users can export real-time data, historical data and analysis results as CSV or Excel files for further analysis and archiving.

[0041] Optionally, the data analysis module further includes data processing capabilities based on cloud computing, including:

[0042] Cloud storage: The collected environmental data, vibration data and acoustic wave data are stored in the cloud database to ensure data security and durability;

[0043] Cloud computing: Use cloud computing platforms to analyze and process data to improve data processing efficiency and response speed.

[0044] Beneficial effects of the present invention:

[0045] The present invention collects various environmental parameters and structural health data of the advertising terminal in real time through the environmental monitoring module and the structural health monitoring module, such as wind speed, humidity, temperature, noise level, vibration and sound wave detection results. The data analysis module combines the autoregressive integral moving average model and the random forest model to perform intelligent data analysis and generate a predictive safety score to help users identify potential risks in a timely manner and take corresponding measures, thereby effectively improving the safety of the advertising terminal. Through continuous monitoring and intelligent analysis of the structural health status, the system can predict and prevent potential structural problems in advance, ensuring the long-term stable operation of the advertising terminal.

[0046] In the present invention, when the maintenance scheduling module identifies the need for maintenance or emergency intervention, it generates a maintenance task and notifies the maintenance team via SMS, email, and mobile applications to ensure that the task is communicated in a timely manner. Users can track the progress of maintenance tasks in real time through the interface, and view the detailed information, history, and current status of the tasks. After the maintenance is completed, the maintenance team submits a detailed task report to ensure that the maintenance task is completed efficiently, significantly improving the operational efficiency of the advertising terminal.

[0047] In the present invention, the user interaction module provides a flexible threshold setting function, allowing users to adjust the thresholds of predicted safety scores, environmental parameters and structural health according to specific needs. Users can intuitively adjust these thresholds through the interface and view the adjusted effects in real time. The system divides the predicted safety scores into three risk levels: high, medium and low according to the set thresholds, and takes corresponding response measures according to different risk levels, such as immediately performing emergency adjustments, activating early warning systems or making preventive adjustments. This function not only enhances the adaptability of the system, but also enables users to flexibly adjust system settings according to actual conditions, ensuring that the advertising terminal can maintain the best operating state under various conditions, thereby improving the safety and reliability of the advertising terminal. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 is a schematic diagram of an embodiment of the present invention;

[0050] Figure 2 Schematic diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0052] It should be noted that the references to "one embodiment", "an embodiment", "an exemplary embodiment", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0053] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending, at least in part, on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0054] like Figure 1-Figure 2 As shown, the outdoor advertising terminal security management system based on the Internet of Things includes an environmental monitoring module, a structural health monitoring module, a data analysis module, a response and control module, a maintenance scheduling module and a user interaction module, wherein;

[0055] The environmental monitoring module is equipped with a variety of sensors to monitor the environmental data around the advertising terminal in real time, including wind speed, humidity, temperature and noise level;

[0056] The structural health monitoring module uses vibration sensors and acoustic wave detection technology to continuously monitor the structural integrity of the advertising terminal. This module can identify small changes in the structure and detect damage or deterioration at an early stage, so that maintenance measures can be taken in advance;

[0057] The data analysis module integrates and analyzes data from the environmental monitoring module and the structural health monitoring module to assess the current safety status and predict future maintenance needs;

[0058] The response and control module automatically adjusts the advertising terminal settings or activates the preset early warning system based on the analysis results provided by the data analysis module. This module ensures that it can respond quickly when potential risks are detected to protect the safety of the terminal and the public;

[0059] The maintenance scheduling module is responsible for notifying the maintenance team when maintenance or emergency intervention is required to ensure timely handling of problems and maintain the operational efficiency and security of the advertising terminal;

[0060] The user interaction module provides an interface that allows users to access real-time data, maintenance updates and security alerts. This module enhances the user experience, allowing users to monitor the status of advertising terminals in real time and improve user confidence and satisfaction with system operations.

[0061] The environmental monitoring module specifically includes:

[0062] Wind speed sensor: A thermoelectric anemometer or ultrasonic anemometer is installed on the top or side of the advertising terminal to capture wind speed changes around the billboard;

[0063] Humidity sensor: A capacitive humidity sensor or a resistive humidity sensor is installed on the outside of the advertising terminal to monitor the relative humidity in the air in real time;

[0064] Temperature sensor: A thermocouple temperature sensor or a thermistor temperature sensor is installed on the outer shell of the advertising terminal to monitor the air temperature in real time;

[0065] Noise sensor: The noise sensor picks up ambient sound through a microphone, calculates the decibel value of the noise through the internal processing unit of the noise sensor, and is installed on the outside of the advertising terminal to monitor the noise level in the environment.

[0066] The structural health monitoring module specifically includes:

[0067] Vibration sensor: Vibration sensors are installed at key structural parts of the advertising terminal to obtain vibration data. Key structural parts include support rods, connection points and panels. Vibration sensors (accelerometers) detect vibration by measuring the vibration frequency and amplitude of the structure. They usually sense vibration through piezoelectric effect or capacitance change.

[0068] Acoustic wave sensor: uses acoustic wave detection technology to monitor the structural integrity of the advertising terminal, including an acoustic wave transmitter and receiver, which are installed on the structural surface of the advertising terminal, emit high-frequency sound waves, and receive sound wave data after passing through the structure.

[0069] Data analysis modules include:

[0070] Data collection and integration: The data analysis module collects the environmental data collected by the environmental monitoring module and the vibration data and acoustic wave data collected by the structural health monitoring module, and performs data cleaning, outlier detection, time synchronization and format standardization on the environmental data, vibration data and acoustic wave data to form a unified analysis data set;

[0071] Vibration analysis and acoustic wave analysis: Through frequency and time domain analysis, abnormal patterns in vibration data are identified, such as high-frequency vibrations or sudden amplitude changes, which may indicate structural damage. The received acoustic wave data is analyzed to identify small changes and cracks in the structure.

[0072] The steps of time domain analysis are as follows:

[0073] (1) Time domain feature extraction:

[0074] Mean: Calculate the average value of the vibration signal to identify the long-term trend, expressed as:

[0075] Where N is the total number of samples, x i is the vibration value of the i-th sample point;

[0076] Root mean square value (RMS): Calculate the root mean square value of the vibration signal to evaluate the vibration energy, expressed as:

[0077] Where N is the total number of samples, x i is the vibration value of the i-th sample point;

[0078] Peak value: Detects the maximum and minimum values ​​of the vibration signal and identifies high-amplitude vibrations, expressed as:

[0079] Peak Value = max(x i )andmin(x i );

[0080] Kurtosis: Evaluates the sharpness of the vibration signal and identifies shock events, expressed as:

[0081] Kurtosis in, is the mean of the signal;

[0082] (2) Time domain anomaly detection:

[0083] Sliding window analysis: The vibration data is segmented, and the above time domain features are calculated through a sliding window to identify sudden changes, which can be expressed as:

[0084] SlidingWindow = [x 1 , x 2 , …, x w ], where w is the window size, the sliding window moves on the data stream, and the time domain features of each window are calculated;

[0085] Anomaly detection algorithm: The control chart method is applied to detect abnormal changes in the vibration signal, which is expressed as:

[0086] in, is the mean, σ is the standard deviation, k is the control limit factor, and Control Limits is the control limit. The control limit is used to monitor the variation in the process. If the data point falls within the control limit range, it means that the process is in a controlled state; if the data point exceeds the control limit range, it means that the process may be abnormal and needs further investigation and treatment;

[0087] The steps of frequency domain analysis are as follows:

[0088] (1) Fourier transform: Perform fast Fourier transform on the time domain vibration signal to convert the signal into the frequency domain and obtain the spectrum information, which is expressed as:

[0089] Among them, x(n) is the time domain signal, X(f) is the frequency domain signal;

[0090] (2) Frequency domain feature extraction:

[0091] Dominant Frequency: Identifies the frequency component with the highest energy in the spectrum, expressed as:

[0092] Dominant Frequency=arg max f |X(f)|;

[0093] Band Energy: Calculates the energy within a specific frequency band and identifies abnormal frequency ranges, expressed as:

[0094] Among them, f 1 and f 2 are the upper and lower limits of the frequency band;

[0095] Frequency Response Function (FRF): Evaluates the response of a system to a specific frequency and identifies the structural resonant frequencies, expressed as:

[0096] Among them, Y(f) is the output signal and X(f) is the input signal;

[0097] (3) Frequency domain anomaly detection:

[0098] Spectrum comparison: Compare the current spectrum with the historical spectrum to identify new frequency components or energy changes, expressed as:

[0099]

[0100] Wavelet transform: The frequency change of the vibration signal is analyzed by wavelet transform, and the change of the instantaneous frequency component is detected, which is expressed as:

[0101] Among them, ψ is the mother wavelet, a and b are scale and translation parameters;

[0102] Acoustic wave analysis: Analyze the received acoustic wave data, including changes in amplitude, frequency, and phase, to identify small changes and cracks in the structure. The formula for the change of the acoustic wave signal is:

[0103] A(t)=A 0 exp(-αd);

[0104] Among them, A(t) is the amplitude of the received sound wave, A 0 is the initial sound wave amplitude, α is the attenuation coefficient, and d is the propagation distance;

[0105] Environmental impact assessment: Combined with environmental data, evaluate the impact of environmental factors on the structure of the advertising terminal. For example, strong winds, high humidity or extreme temperatures may cause increased structural stress or material deterioration.

[0106] Comprehensive safety assessment: The results of vibration analysis and acoustic wave analysis are combined with environmental data, and the support vector machine algorithm is applied to evaluate the current safety status. The support vector machine separates the data of different safety states by finding the best classification boundary, and generates a comprehensive safety score to represent the current health status of the advertising terminal. The score is based on multiple indicators, such as structural stability, environmental adaptability, and potential damage degree;

[0107] The steps of the vector machine algorithm to evaluate the current security status are as follows:

[0108] (1) Data preprocessing:

[0109] Feature vector construction: Combine the data of vibration analysis, sound wave analysis and environmental monitoring to construct a feature vector. If there are n samples and each sample has d features, the feature vector can be expressed as:

[0110] x i =[x i1 , x i2 , …, x id ], where x i is the feature vector of the i-th sample, which contains the features of vibration data, sound wave data and environmental data;

[0111] Label vector: assign a label y to each sample i , represents the safety status of the sample, and the labels are divided into safe state and abnormal state, expressed as: y i ∈{1, -1}

[0112] (2) Support vector machine model training:

[0113] Objective function: The support vector machine maximizes the interval between categories by finding a hyperplane. The objective function is as follows:

[0114] Among them, w is the weight vector, b is the bias term, ξ i is the relaxation variable, C is the penalty parameter used to balance the interval maximization and misclassification rate;

[0115] Constraints: For all samples, the following constraints are satisfied, expressed as:

[0116] y i (w·x i +b)≥1-ξ i ,ξ i ≥0;

[0117] (3) Classification decision function:

[0118] Decision function: The trained support vector machine model classifies new samples through the following decision function, expressed as:

[0119] f(x) = w·x+b;

[0120] Classification result: According to the sign of the decision function, the category of the sample is determined, expressed as:

[0121]

[0122] (4) Score calculation: Based on the classification results and feature vectors of the support vector machine, a comprehensive safety score is generated. The score can be weighted based on the output value of the decision function and the feature value of the sample, expressed as:

[0123] Among them, safety score is a value between 0 and 1, indicating the current health status of the advertising terminal. The closer the value is to 1, the better the safety status is, and the closer the value is to 0, the more safety risks exist.

[0124] The data analysis module also includes:

[0125] Trend analysis: The autoregressive integrated moving average model is used for time series analysis to predict future environmental changes and structural health conditions. The autoregressive integrated moving average model formula is expressed as:

[0126]

[0127] Among them, y t is time series data, is the autoregressive coefficient, θ is the moving average coefficient, ∈ t is a random error;

[0128] The specific steps of trend analysis are as follows:

[0129] (1) Data stationarity analysis: Check the stationarity of the data, use the ADF (Augmented Dickey Fuller) test, and perform difference processing on non-stationary data until the data becomes stationary;

[0130] (2) Parameter selection: Use AIC (Akaike Information Criterion) or BIC (Bayesian Information Criterion) to select the best autoregressive integrated moving average parameters (p, d, q);

[0131] (3) Model fitting: Use historical environmental data and vibration data to fit the autoregressive integrated moving average model and perform residual analysis to ensure that the residual of the model is white noise;

[0132] (4) Future data prediction: Use the fitted autoregressive integrated moving average model to predict future environmental changes and structural health status;

[0133] Machine learning prediction: Predict future structural problems and maintenance needs by building a random forest model, including:

[0134] (1) Data collection: Collect historical environmental data, including wind speed, humidity, temperature, and noise level, and historical health data of the advertising terminal structure, including vibration data and sound wave data, as well as collect data on maintenance operations performed;

[0135] (2) Constructing training and test sets: Extract features and labels (safe state or abnormal state) from historical data to construct training and test sets;

[0136] (3) Training the random forest model: Use the training set to train the random forest model and adjust the hyperparameters (such as the number of trees and maximum depth) to optimize the model performance;

[0137] (4) Model evaluation: Use the test set to evaluate model performance and calculate indicators such as accuracy, precision, and recall;

[0138] (5) Prediction of future maintenance needs: Use the trained random forest model and input real-time data to predict future advertising terminal structural problems and maintenance needs;

[0139] The random forest model formula is: in, is the predicted value of the random forest, B is the number of decision trees, T b is the bth decision tree;

[0140] Predicted safety score: Based on the output of the autoregressive integrated moving average model and the random forest model, a predicted comprehensive safety score is generated, expressed as:

[0141] Safety Score = α·ARIMA_Score + β·RF_Score, where ARIMA_Score is the prediction result of the autoregressive integrated moving average model, RF_Score is the prediction result of the random forest model, α and β are weight coefficients that satisfy α+β=1, and can be adjusted according to actual conditions.

[0142] The response and control module specifically includes:

[0143] Receiving analysis results: The response and control module receives the output of the data analysis module, including the comprehensive safety assessment results, predicted maintenance needs, and predicted safety scores;

[0144] Threshold judgment: Preset security thresholds. Based on the predicted security score, the response and control module automatically adjusts the advertising terminal settings or activates the preset early warning system, including:

[0145] The security thresholds are divided into high risk level, medium risk level and low risk level, among which;

[0146] (1) High risk level:

[0147] Threshold range: 0≤comprehensive safety score<0.3;

[0148] Response measures: Immediately implement emergency adjustment measures, including reinforcing the mechanical structure of the advertising terminal and adjusting the display settings, activating the early warning system, including activating warning lights and sirens, sending emergency notifications to maintenance teams and managers, and arranging emergency maintenance;

[0149] (2) Medium risk level:

[0150] Threshold range: 0.3≤comprehensive safety score<0.6;

[0151] Response measures: Automatically adjust the advertising terminal settings, including appropriately reducing display brightness, adjusting the advertising content display mode, enhancing monitoring efforts, and regularly checking the health of the environment and structure;

[0152] (3) Low risk level:

[0153] Threshold range: 0.6 ≤ comprehensive safety score ≤ 1;

[0154] Response measures: Routine monitoring, no immediate adjustments required, just regular inspection and maintenance.

[0155] The maintenance scheduling module specifically includes:

[0156] Receive warning information: The maintenance scheduling module receives threshold judgment results, comprehensive safety assessment results, and structural problems and maintenance requirements predicted by the random forest model;

[0157] Maintenance task generation: Create maintenance tasks based on the received warning information. When the threshold is judged as a high risk level, a maintenance task is created, including the following information:

[0158] Risk level: High;

[0159] Risk type: structural problems, environmental problems, etc.

[0160] Recommended maintenance actions: e.g. structural reinforcement, environmental adjustments;

[0161] Warning time: the time when the warning is triggered;

[0162] Estimated maintenance time: recommended maintenance execution time;

[0163] Notify maintenance team: Notify maintenance team through multiple communication methods, including SMS, email and mobile app notifications, ensuring that notification content is complete and accurate, including task details and execution time;

[0164] Maintenance feedback: After maintenance is completed, the maintenance team submits a detailed task report, including the actual maintenance operations performed, problems encountered, and solutions.

[0165] The user interaction module specifically includes:

[0166] User interaction interface: The user interaction module provides a user interaction interface. The interface design includes home page, real-time data, maintenance updates, security alerts, and threshold settings, as follows:

[0167] Home page: displays the overall status of the advertising terminal, including the current safety score, the latest maintenance information and the alarm summary;

[0168] Real-time data: Displays real-time environmental data (such as wind speed, humidity, temperature, and noise level) and structural health data (such as vibration and acoustic wave detection results);

[0169] Maintenance Update: Provides detailed information about maintenance tasks, including the status of current tasks, historical maintenance records, and planned maintenance tasks;

[0170] Security Alerts: Displays current and historical security alerts, including alert type, risk level, and specific recommendations;

[0171] Threshold setting: Allows users to set and adjust the threshold and other related parameters of the comprehensive safety score;

[0172] Functional design: The user interaction module provides operational functions, including data visualization, task management, alarm management, and setting safety thresholds, as shown below:

[0173] Data visualization: Use charts, dashboards, and heat maps to intuitively display real-time data and historical trends;

[0174] Task management: creation, assignment and progress tracking of maintenance tasks;

[0175] Alert Management: View and manage security alerts, providing detailed alert information and response recommendations;

[0176] Threshold setting: Provides a user interface to allow users to set and adjust security score thresholds, including:

[0177] (1) Comprehensive safety score threshold: Users can set and adjust the low, medium, and high risk thresholds for the predicted safety score;

[0178] (2) Environmental parameter thresholds: Users can set alarm thresholds for environmental parameters (such as wind speed, temperature, humidity, and noise level);

[0179] (3) Structural health thresholds: Users can set alarm thresholds for vibration and acoustic detection data.

[0180] The user interaction module also includes a data export function, where users can export real-time data, historical data and analysis results as CSV or Excel files for further analysis and archiving.

[0181] The data analysis module further includes cloud computing-based data processing capabilities, including:

[0182] Cloud storage: The collected environmental data, vibration data and acoustic wave data are stored in the cloud database to ensure data security and durability;

[0183] Cloud computing: Use cloud computing platforms to analyze and process data to improve data processing efficiency and response speed.

[0184] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0185] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. The outdoor advertising terminal security management system based on the Internet of Things is characterized by: It includes environmental monitoring module, structural health monitoring module, data analysis module, response and control module, maintenance scheduling module and user interaction module, among which; The environmental monitoring module is equipped with a variety of sensors to monitor the environmental data around the advertising terminal in real time, including wind speed, humidity, temperature and noise level; The structural health monitoring module uses vibration sensors and acoustic wave detection technology to continuously monitor the structural integrity of the advertising terminal; The data analysis module integrates and analyzes data from the environmental monitoring module and the structural health monitoring module to assess the current safety status and predict future maintenance needs; The response and control module automatically adjusts the advertising terminal settings or activates a preset early warning system according to the analysis results provided by the data analysis module; The maintenance scheduling module is responsible for notifying the maintenance team when maintenance or emergency intervention is identified; The user interaction module provides an interface that allows users to access real-time data, maintenance updates and security alerts.

2. The outdoor advertising terminal security management system based on the Internet of Things according to claim 1 is characterized in that: The environmental monitoring module specifically includes: Wind speed sensor: A thermoelectric anemometer or ultrasonic anemometer is used to capture wind speed changes around the billboard; Humidity sensor: Use capacitive humidity sensor or resistive humidity sensor to monitor the relative humidity in the air in real time; Temperature sensor: Use thermocouple temperature sensor or thermistor temperature sensor to monitor air temperature in real time; Noise sensor: The noise sensor picks up ambient sound through a microphone, calculates the decibel value of the noise through the internal processing unit of the noise sensor, and monitors the noise level in the environment.

3. The outdoor advertising terminal security management system based on the Internet of Things according to claim 2 is characterized in that: The structural health monitoring module specifically includes: Vibration sensor: The vibration sensor is installed in the key structural parts of the advertising terminal to obtain vibration data. The key structural parts include support rods, connection points and panels; Acoustic wave sensor: uses acoustic wave detection technology to monitor the structural integrity of the advertising terminal, including an acoustic wave transmitter and receiver, which are installed on the structural surface of the advertising terminal, emit high-frequency sound waves, and receive sound wave data after passing through the structure.

4. The outdoor advertising terminal security management system based on the Internet of Things according to claim 3 is characterized in that: The data analysis module includes: Data collection and integration: The data analysis module collects the environmental data collected by the environmental monitoring module and the vibration data and acoustic wave data collected by the structural health monitoring module, and performs data cleaning, outlier detection, time synchronization and format standardization on the environmental data, vibration data and acoustic wave data to form a unified analysis data set; Vibration analysis and acoustic wave analysis: Identify abnormal patterns in vibration data through frequency and time domain analysis, and analyze received acoustic wave data to identify structural changes and cracks; Environmental impact assessment: Combine environmental data to assess the impact of environmental factors on the structure of advertising terminals; Comprehensive safety assessment: The results of vibration analysis and acoustic wave analysis are combined with environmental data, and the support vector machine algorithm is applied to evaluate the current safety status to generate a comprehensive safety score that represents the current health status of the advertising terminal.

5. The outdoor advertising terminal security management system based on the Internet of Things according to claim 4 is characterized in that: The data analysis module also includes: Trend analysis: Apply the autoregressive integrated moving average model to perform time series analysis to predict future environmental changes and structural health status; Machine learning prediction: predicting future structural problems and maintenance needs by building random forest models; Predicted Safety Score: Generates a predicted comprehensive safety score based on the output of the autoregressive integrated moving average model and the random forest model.

6. The outdoor advertising terminal security management system based on the Internet of Things according to claim 5 is characterized in that: The response and control module specifically includes: Receiving analysis results: The response and control module receives the output of the data analysis module, including the comprehensive safety assessment results, predicted maintenance requirements, and predicted safety scores; Threshold judgment: Preset security thresholds. Based on the predicted security scores, the response and control module automatically adjusts the advertising terminal settings or activates the preset early warning system.

7. The outdoor advertising terminal security management system based on the Internet of Things according to claim 6 is characterized in that: The maintenance scheduling module specifically includes: Receive warning information: The maintenance scheduling module receives threshold judgment results, comprehensive safety assessment results, and structural problems and maintenance requirements predicted by the random forest model; Maintenance task generation: Create maintenance tasks based on received warning information; Notify maintenance team: Notify maintenance team through multiple communication methods, including SMS, email and mobile app notifications; Maintenance feedback: After maintenance is completed, the maintenance team submits a task report, including the actual maintenance operations performed, problems encountered, and solutions.

8. The outdoor advertising terminal security management system based on the Internet of Things according to claim 1 is characterized in that: The user interaction module specifically includes: User interaction interface: The user interaction module provides a user interaction interface, which includes home page, real-time data, maintenance updates, security alerts, and threshold settings; Functional design: The user interaction module provides operational functions, including data visualization, task management, alarm management, and setting safety thresholds.

9. The outdoor advertising terminal security management system based on the Internet of Things according to claim 1 is characterized in that: The user interaction module also includes a data export function, which allows users to export real-time data, historical data and analysis results as CSV or Excel files for further analysis and archiving.

10. The outdoor advertising terminal security management system based on the Internet of Things according to claim 1 is characterized in that: The data analysis module further includes cloud computing-based data processing capabilities, including: Cloud storage: The collected environmental data, vibration data and acoustic wave data are stored in the cloud database to ensure data security and durability; Cloud computing: Use cloud computing platforms to analyze and process data to improve data processing efficiency and response speed.

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