Billboards, as important carriers of urban outdoor advertising, are widely distributed in high-traffic areas such as urban roads, commercial districts, and transportation hubs. Due to long-term exposure to the natural environment, billboards are affected by multiple factors including wind loads, rain and snow erosion, and temperature changes. Their structural safety and stability are directly related to public safety.
In recent years, accidents such as billboard collapse and falling—caused by aging, design flaws, or improper installation—have occurred from time to time, posing a serious threat to the safety of pedestrians and vehicles. Therefore, conducting billboard safety monitoring is of great significance.
By real-time monitoring key parameters of billboards (such as tilt angle, vibration frequency, and stress distribution), potential risks can be detected in a timely manner and preventive maintenance measures can be taken. At the same time, combining IoT (Internet of Things) technology and big data analysis enables intelligent assessment of the billboard’s health status, providing a scientific basis for urban management and safeguarding the lives and property of the public.
The billboard safety monitoring system is an intelligent solution based on the Internet of Things (IoT), sensor technology, and data analysis. It aims to real-time monitor the structural status and environmental impacts of billboards, prevent potential safety hazards caused by natural disasters, aging, or external forces, and ensure public safety.
It is equipped with high-precision sensors (such as tilt sensors, vibration sensors, and strain gauges) to collect data related to billboards, including tilt angle, vibration frequency, and stress changes. Environmental monitoring devices (such as anemometers, temperature and humidity sensors) record external environmental parameters in real time to assess their impact on billboards.
It uses wireless communication technologies (such as 4G/5G, LoRa, and NB-IoT) to upload data collected by sensors to cloud servers, ensuring the stability and real-time performance of data transmission.
A unified cloud management platform is built to realize data storage, analysis, and visual display. It provides multi-terminal access support (PC terminal, mobile terminal), allowing managers to check the status of billboards at any time.
It analyzes historical data and real-time data through AI algorithms to predict potential risks and generate early warning information. When the monitoring data exceeds the preset threshold, the system automatically triggers an alarm and notifies relevant personnel via text messages, emails, and other methods. It provides targeted maintenance plans based on monitoring results to extend the service life of billboards.
Through a sensor network, the system collects key data of billboards in real time, including tilt angle, vibration frequency, wind speed, temperature, and humidity, ensuring comprehensive grasp of the environmental and structural status.
When the monitoring data exceeds the preset safety threshold, the system automatically triggers the alarm mechanism and notifies relevant responsible persons via text messages, emails, or APP notifications, enabling timely response measures to be taken.
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The system stores all monitoring data and supports the generation of trend charts by time range. This helps users analyze the long-term performance changes of billboards and identify potential risks.
Based on the collected data, the system uses algorithms to evaluate the overall structural health of billboards and generates health index reports, providing a basis for maintenance decisions.
Users can check the real-time status and historical records of billboards at any time through web pages or mobile devices, enabling centralized management across regions.
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The system supports the setting of different levels of user permissions. While ensuring data security, it meets the diverse needs of management personnel, technical staff, and operation and maintenance personnel.
Through machine learning models, the system can predict potential faults based on historical data and current status, and provide targeted maintenance recommendations to reduce the risk of accidents.
The system combines billboard location information with GIS maps, intuitively displaying the distribution and status of each billboard, which facilitates quick positioning of faulty equipment.
The system accesses meteorological data. When extreme weather (such as typhoons, heavy rains) is predicted, it issues early warnings in advance and suggests strengthening inspections or taking reinforcement measures.
It supports the regular generation of safety monitoring reports, including key indicator analysis, summary of abnormal events, and improvement suggestions, which facilitates reporting to superiors or filing for record-keeping.
High Precision and Efficiency: High-precision sensors combined with advanced algorithms enable millisecond-level response and millimeter-level accuracy.
Flexible Scalability: The system has an open architecture, allowing easy integration of monitoring needs for more billboards or other facilities.
Cost Savings: It reduces the frequency of manual inspections and avoids high maintenance costs caused by sudden accidents.
Safety Assurance: 24/7 monitoring and timely early warnings minimize losses caused by potential safety hazards.
As a modern and intelligent management solution, the billboard safety monitoring system demonstrates its application value in multiple aspects. This system not only comprehensively improves the safety supervision level of billboard facilities and realizes the transformation from passive response to active prevention, but also creates significant economic and social value for advertising operation enterprises and the public.
By deploying this system, advertising operation enterprises can greatly reduce the compensation costs and brand image losses caused by billboard accidents. At the same time, the public can enjoy a safer urban environment.
Adopting advanced sensing technology and intelligent analysis algorithms, the system builds a complete monitoring and early warning system. It realizes real-time monitoring and accurate early warning of key indicators such as the structural stability and wind resistance of billboards. This 24/7 and intelligent monitoring method greatly reduces the risk of potential safety hazards such as billboard collapse and falling, effectively safeguarding urban public safety.
