CN114964353B - An intelligent monitoring system for outdoor signs - Google Patents

Abstract

An intelligent monitoring system for outdoor signs relates to the technical field of outdoor sign safety. The monitoring system comprises an online monitoring unit, a comprehensive evaluation and early warning system for outdoor sign safety, and a central visualization management platform. The online monitoring unit evaluates and divides the safety level of outdoor signs based on the comprehensive evaluation and early warning system for outdoor sign safety, and then performs real-time data monitoring and real-time early warning prompts on the outdoor signs. The central visualization management platform receives the monitoring data and early warning prompt data of the online monitoring unit, and performs data collection to assist urban operations. In terms of the safety management of outdoor signs, the present invention can provide intelligent scene business data for urban operations authorities, thereby assisting urban operations, making urban management smarter and safer, and realizing intelligent human-machine collaboration.

Description

An intelligent monitoring system for outdoor signs

Technical Field

The invention relates to the technical field of outdoor signboard safety, and in particular to an intelligent monitoring system for outdoor signboards.

Background technique

At present, some cities are carrying out comprehensive digital transformation in the direction of "economy, life, and governance", empowering in all aspects, and building a basic framework of data-driven digital cities. This move, as a revolutionary reshaping, can guide the whole society to jointly build, govern, and share digital cities. Urban digital transformation is a new topic and systematic project, covering all aspects of urban production, life, and ecology, including digitalization of the economy, digitalization of life, and digitalization of governance.

In cities, outdoor signs are part of the city's appearance. If they are well managed, they can become a beautiful city landscape. If they are not well managed, they may lead to casualties. In order to prevent safety hazards, cities generally require that companies with steel structure inspection qualifications complete a safety rating assessment and issue a test report every two years for steel structure signs. Each safety rating assessment will require a lot of manpower and material resources to complete, and the time required to issue the test report will also be long. Moreover, during special periods such as typhoon and flood prevention, human inspections cannot be completed in time. If there are safety hazards in outdoor signs, there is a greater possibility of safety accidents. In addition, with traditional inspection methods and grid management, except for the time of inspection and patrol, the structural risks of outdoor signs cannot be controlled in time, posing safety hazards.

With the development and changes in the digital transformation of cities, exploring how to make human resources revolve around computing power and build an "algorithm factory" has become a new path for the transformation of urban management. Therefore, there is room for improvement in the safety management of outdoor signs.

Summary of the invention

In view of the shortcomings of the prior art, the present invention aims to propose an intelligent monitoring system for outdoor signs. The specific scheme is as follows:

An intelligent monitoring system for outdoor signs, the monitoring system comprising an online monitoring unit, a comprehensive evaluation and early warning system for outdoor sign safety, and a central visual management platform;

The online monitoring unit evaluates and classifies the safety levels of outdoor signs based on the comprehensive evaluation and early warning system for outdoor sign safety, and then performs real-time data monitoring and real-time early warning prompts on the outdoor signs. The central visualization management platform receives the monitoring data and early warning prompt data from the online monitoring unit, and collects data to assist urban operations.

Furthermore, the working process of the online monitoring unit and the outdoor signboard safety comprehensive evaluation and early warning system includes the following stages:

Basic information stage: Determine the basic monitoring targets of different monitoring points according to the outdoor sign type, safety influencing factors, and project field conditions. Combined with the outdoor sign safety evaluation hierarchical model, the online monitoring unit monitors the monitoring parameters corresponding to different monitoring parts of the basic monitoring targets, accumulates basic monitoring data, and classifies the basic monitoring data;

Individual evaluation stage: The outdoor signboard safety comprehensive evaluation and early warning system uses the classified basic monitoring data to conduct micro-evaluation and macro-evaluation. The micro-evaluation is specifically the safety evaluation of a single monitoring point, and the macro-evaluation is specifically the overall safety evaluation of the outdoor signboard based on the fuzzy method;

Comprehensive evaluation and decision-making stage for outdoor sign safety: Based on the individual evaluation stage, the outdoor sign safety comprehensive evaluation and early warning system automatically issues an early warning, activates the emergency plan, and prepares disaster prevention and mitigation measures in advance until the danger is lifted.

Furthermore, the monitoring parts of the outdoor signboard include a panel, a frame and an attached object, and the monitoring parameters of the outdoor signboard include stress-strain, cracks, deformation, wind-induced response, frequency, and temperature and humidity. The monitoring parts corresponding to stress-strain are the panel and the frame, the monitoring parts corresponding to cracks are the attached object, the monitoring parts corresponding to deformation are the frame, the monitoring parts corresponding to wind-induced response are the panel and the frame, the monitoring parts corresponding to frequency are the frame, and the monitoring parts corresponding to temperature and humidity are the panel.

Furthermore, the real-time data detection includes real-time dynamic tilt monitoring, real-time dynamic anchor surface displacement monitoring, real-time vibration monitoring, real-time wind-induced response monitoring and real-time humidity monitoring;

Real-time dynamic tilt monitoring is specifically to arrange an inclinometer at the frame position of the advertising sign, and the inclinometer is arranged parallel to the frame to measure the change of the tilt angle of the frame;

2) Real-time dynamic anchor surface displacement monitoring: Specifically, displacement sensors are placed on the surface of the attached body of the advertising sign to detect whether the anchor surface is detached;

3) Real-time vibration monitoring: When the advertising sign is damaged or deformed, the sign's self-vibration period will change, so as to detect the vibration frequency of the advertising sign;

4) Real-time wind response monitoring: displacement sensors are installed at the connection points between the panel and the frame of the advertising sign to monitor the horizontal displacement of the panel, and wind pressure sensors are installed on the surface of the panel to determine whether the panel displacement is related to the wind pressure;

5) Real-time humidity monitoring is to place a hygrometer inside the advertising sign to monitor whether there is water ingress into the advertising sign.

Furthermore, the selection of the monitoring points can be divided according to the region, setting type, appearance, and crowd density;

When dividing by region, priority is given to areas with a higher degree of urbanization for monitoring. When dividing by setting type, priority is given to signs with high risk factors and difficult daily maintenance as monitoring objects. When dividing by appearance, priority is given to signs with hidden dangers of damage, water seepage or panel tilt as monitoring objects. When dividing by the density of pedestrian flow, priority is given to road sections with a higher density of pedestrian flow as monitoring objects.

Furthermore, the safety level evaluation and classification includes the classification of safety degree, danger degree, color level, and warning level;

The safety levels are specifically divided into 1, 2, 3, 4, and 5. The danger levels are divided into safety, basic safety, mild danger, moderate danger, and high danger. The color levels are divided into blue, green, yellow, orange, and red. The warning levels are divided into Level I warning, Level II warning, Level III warning, Level IV warning, and Level V warning.

Furthermore, the online monitoring unit includes a data acquisition module, a communication component and a central control module. The data acquisition module is provided with multiple corresponding to different monitoring points, including a displacement sensor, an inclination sensor, a vibration sensor, a current sensor and a water immersion sensor. The data acquisition module is electrically connected to the communication component, and the communication component is electrically connected to the central control module.

The outdoor sign safety comprehensive evaluation and early warning system includes a data prediction module, an outdoor shop sign safety evaluation module, and an outdoor shop sign safety early warning module. The data prediction module is based on a data prediction model of an LSTM neural network, and in combination with the outdoor shop sign safety evaluation module, a fuzzy method is used to rate the safety status of outdoor signs. The outdoor shop sign safety early warning module provides real-time early warning prompts based on the safety rating of outdoor signs.

The central visualization management platform includes an online visualization module, which can realize data visualization and information query. The data visualization includes data query, graphic display and data export. The information query includes project information, monitoring plan, and equipment operation status query. The online visualization module is electrically connected to the central control module and the data prediction module.

Furthermore, the technical requirements of the displacement sensor and the inclination sensor are as follows:

Displacement sensor accuracy requirement: ±0.2mm;

The accuracy requirement of the inclination sensor is: ≤±0.01°, temperature drift coefficient is 0.002°/℃;

Working temperature and humidity: -10℃-60℃, 5%-95%;

Storage temperature: -20℃-85℃;

Protection grade: IP67.

Compared with the prior art, the present invention has the following beneficial effects:

(1) The online monitoring unit is an intelligent sensing source installed on the outdoor signboard, which can replace the detection and inspection performed by manpower. The online monitoring unit and the outdoor signboard safety comprehensive evaluation and early warning system work together to judge the deformation state and deformation trend of the outdoor signboard within a certain period of time, so as to realize the quantitative evaluation in the monitoring process. The quantitative evaluation is reflected in the monitoring data and early warning prompt data. After being connected to the central visualization management platform, the central visualization management platform conducts effective data collection and comprehensive and unified management of this quantitative evaluation, and provides intelligent scene business data for the urban operation department, thereby assisting urban operations, making urban management smarter and safer, and realizing intelligent human-machine collaboration.

Traditional detection methods and grid management cannot timely control the structural risks of outdoor signs except at the time of detection and inspection, which poses a safety hazard. Even if more detection and inspection can improve safety, the cost of manpower and material resources will increase significantly. By installing online monitoring units on outdoor signs, this kind of intelligent sensing source monitoring and early warning can deal with risks more timely without increasing costs, play a role in safety protection, and thus provide real-time supervision for business departments. Moreover, the installation of this kind of intelligent sensing source will provide more authoritative and accurate data support for the generation of detection reports. By real-time and classified monitoring of the basic conditions, connection conditions, structural conditions, maintenance conditions and electrical conditions of outdoor signs, the final assessment results are generated by algorithm calculation. This method can not only maintain a high degree of consistency in the assessment standards with the traditional method of generating reports after on-site detection by professionals, but also realize the real-time and effectiveness of the monitoring status, making urban management more refined, more efficient and more intelligent.

Furthermore, the intelligent sensing source monitoring and early warning prompts provide a basis for the current implementation process and specifications, enhance the acceptance of current specifications by merchants and owners, strengthen daily management and implementation processes, and during special periods such as typhoon and flood prevention, compared to waiting for subsequent manpower testing or inspections of outdoor signs, the present invention can quickly deal with safety hazards in real time and reduce the possibility of safety accidents.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart showing the connection relationship between the online monitoring unit, the outdoor signboard safety comprehensive evaluation and early warning system, and the central visualization management platform of the present invention;

Figures 2-5 are interface renderings of the central visualization management platform of the present invention when it is actually used.

Detailed ways

The present invention will be further described in detail below in conjunction with embodiments and drawings, but the embodiments of the present invention are not limited thereto.

An intelligent monitoring system for outdoor signs includes an online monitoring unit, a comprehensive evaluation and early warning system for outdoor sign safety, and a central visualization management platform. The online monitoring unit evaluates and classifies the safety level of outdoor signs based on the comprehensive evaluation and early warning system for outdoor sign safety, and then performs real-time data monitoring and real-time early warning prompts on outdoor signs. The central visualization management platform receives the monitoring data and early warning prompt data of the online monitoring unit, and collects data to assist urban operations.

In this embodiment, the online monitoring unit, as an intelligent sensing source installed on the outdoor sign, can replace the detection and inspection performed by manpower. The intelligent sensing source mainly forms a model by simulating the impact of key risk factors such as vibration, tilt, displacement, service life, extreme temperature, strong wind, etc. on the safety, stability, fall protection, tilt and other indicators of the outdoor sign. Then, hundreds of thousands of detection data from professional testing companies over the years are used to verify and correct the model, propose risk characteristics and key values of typical outdoor signs, form a monitoring indicator system, and cooperate with the comprehensive evaluation and early warning system for outdoor sign safety to realize the division of early warning levels. After the real-time push of safety early warning information, the intelligent and efficient real-time monitoring process of the outdoor sign is finally completed, transforming "passive discovery" into "active discovery."

In detail, the working process of the online monitoring unit and the outdoor sign safety comprehensive evaluation and early warning system includes the following stages:

Basic information stage: Determine the basic monitoring targets of different monitoring points according to the outdoor sign type, safety influencing factors, and project site conditions. Combined with the outdoor sign safety evaluation hierarchical model, the online monitoring unit monitors the monitoring parameters corresponding to different monitoring locations of the basic monitoring targets, accumulates basic monitoring data, and classifies the basic monitoring data.

Individual evaluation stage: The outdoor signboard safety comprehensive evaluation and early warning system uses the classified basic monitoring data to conduct micro-evaluation and macro-evaluation. The micro-evaluation is specifically the safety evaluation of a single monitoring point, and the macro-evaluation is specifically the overall safety evaluation of outdoor signs based on the fuzzy method.

Comprehensive evaluation and decision-making stage for outdoor sign safety: Based on the individual evaluation stage, the outdoor sign safety comprehensive evaluation and early warning system automatically issues an early warning, activates the emergency plan, and prepares disaster prevention and mitigation measures in advance until the danger is lifted.

In the above working process, specifically in the basic information stage, the first thing to do is to determine the outdoor signs to be monitored by the online monitoring unit. Since the number and distribution range of outdoor signs in the urban area are relatively wide, when the city uses the present invention for actual application, it first determines different monitoring points through multiple factors, and uses the outdoor signs at these monitoring points as monitoring targets. The types of outdoor signs may include roof signs, wall signs, hanging signs, railing signs, etc., and safety influencing factors may include the structural condition and panel condition of the outdoor signs. The actual situation of the project may include residential areas, office areas, etc.

The specific selection of monitoring points can be divided according to region, setting type, appearance, and crowd density. When divided by region, priority should be given to areas with a high degree of urbanization for monitoring. When divided by setting type, priority should be given to signs with high risk factors and difficult daily maintenance as monitoring objects. When divided by appearance, priority should be given to signs with hidden dangers of damage, water seepage, or panel tilt as monitoring objects. When divided by crowd density, priority should be given to road sections with high crowd density as monitoring objects.

After the monitoring points are determined, online monitoring units are installed on the corresponding outdoor signs. The online monitoring units can be set to monitor the outdoor signs online around the clock to ensure that the basic monitoring data is accumulated sufficiently for use.

When the online monitoring unit needs to be installed on an outdoor sign, it cannot be installed at will. Since the outdoor sign is connected to the specific attached body through a frame when it is installed on the attached body, the different monitoring parts mentioned above include the panel, the frame and the attached body. The monitoring parameters of the outdoor sign include stress-strain, cracks, deformation, wind-induced response, frequency, and temperature and humidity. The monitoring parts corresponding to each different monitoring parameter are different, as follows: the monitoring parts corresponding to stress-strain are the panel and the frame, the monitoring parts corresponding to cracks are the attached body, the monitoring parts corresponding to deformation are the frame, the monitoring parts corresponding to wind-induced response are the panel and the frame, the monitoring parts corresponding to frequency are the frame, and the monitoring parts corresponding to temperature and humidity are the panel.

After determining the monitoring points, the monitored outdoor signs, the monitoring parts on the outdoor signs and the monitoring parameters, the online monitoring unit needs to further complete the data monitoring. Therefore, the real-time data detection of the online monitoring unit includes real-time dynamic tilt monitoring, real-time dynamic anchor surface displacement monitoring, real-time vibration monitoring, real-time wind-induced response monitoring and real-time humidity monitoring.

Real-time dynamic tilt monitoring is to arrange an inclinometer at the frame position of the advertising sign. An inclinometer is set inside the inclinometer. The inclinometer is set parallel to the frame to measure the change of the inclination angle of the frame. The inclination deformation of the frame is the main feature that causes the sign to become unstable and collapse, and it needs to be monitored. Real-time dynamic anchor surface displacement monitoring is to arrange a displacement sensor on the surface of the attached body of the advertising sign to detect whether the anchor surface is detached. Real-time vibration monitoring is to arrange a displacement sensor on the surface of the attached body of the advertising sign to detect whether the anchor surface is detached. When the advertising sign is damaged and deformed, the self-vibration period of the sign will change. In order to detect the vibration frequency of the advertising sign, it can be achieved by setting a vibration sensor. Real-time wind-induced response monitoring is to arrange a displacement sensor at the connection point between the panel and the frame of the advertising sign to monitor the horizontal displacement of the panel, and to arrange a wind pressure sensor on the surface of the panel to determine whether the displacement of the panel is related to the wind pressure. Real-time humidity monitoring is to arrange a hygrometer inside the advertising sign to monitor whether there is water ingress inside the advertising sign. It can also be achieved by using a temperature and humidity sensor.

In the basic information stage, after the online monitoring unit completes the real-time dynamic anchor surface displacement monitoring, real-time vibration monitoring, real-time wind-induced response monitoring, and real-time humidity monitoring of the outdoor signs, it obtains monitoring data for different monitoring parts according to different classifications, which is used to comprehensively evaluate the overall safety of the outdoor signs.

In the individual evaluation stage, when conducting micro-evaluation and macro-evaluation, the safety level evaluation and classification include the classification of safety degree, danger level, color level, and warning level. The safety degree is specifically divided into 1, 2, 3, 4, and 5. The danger level is divided into safety, basic safety, slight danger, moderate danger, and high danger. The color level is divided into blue, green, yellow, orange, and red. The warning level is divided into level I warning, level II warning, level III warning, level IV warning, and level V warning. When the safety evaluation feedback of outdoor signs is actually carried out, the online detection unit will simultaneously push out information in real time from the five aspects of safety degree, danger level, color level, and warning level, which is easy for staff to understand, such as in the form of sound, light, numbers, text, or patterns.

As shown in Figure 1, when the outdoor sign intelligent monitoring system of the present invention is actually used, the online monitoring unit is dispersed at different monitoring points as an integrated structure and installed on a specific outdoor sign. The central visualization management platform can be integrated indoors and managed by the urban transportation department in a unified manner, thereby converting the data of the online detection unit into intelligent scene business data. Specifically, the online monitoring unit includes a data acquisition module, a communication component and a central control module. The data acquisition module is provided with multiple corresponding to different monitoring points, including displacement sensors, tilt sensors, vibration sensors, current sensors and water immersion sensors. Multiple sensors are provided at corresponding positions corresponding to real-time dynamic anchor surface displacement monitoring, real-time vibration monitoring, real-time wind-induced response monitoring, and real-time humidity monitoring. In addition, in order to automatically detect and display current, and have automatic protection functions and more advanced intelligent control when dangerous situations such as overcurrent and overvoltage of outdoor signs occur, the current sensor is installed on the power supply circuit of the outdoor sign. The data acquisition module is electrically connected to the communication component, and the communication component is electrically connected to the central control module. The data monitored in real time by each sensor in the data acquisition module is sent to the central control module through the communication component, and the central control module collects and classifies the data according to the algorithm.

The comprehensive evaluation and early warning system for outdoor sign safety includes a data prediction module, an outdoor shop sign safety evaluation module, and an outdoor shop sign safety early warning module. After the comprehensive evaluation and early warning system for outdoor sign safety receives the collected data, the data prediction module uses the data prediction model of the LSTM neural network and the outdoor shop sign safety evaluation module to use the fuzzy method to rate the safety status of outdoor signs. The outdoor shop sign safety early warning module provides real-time early warning prompts based on the safety rating of outdoor signs, which are specifically expressed in terms of safety level, danger level, color level, and early warning level.

Since safety evaluation is complex, each evaluation method involves multi-factor weight calculation. Therefore, whether the safety evaluation method is scientific or not depends on whether the indicator selection is appropriate and whether the weight assignment is scientific. When determining the weight, a purely subjective, purely objective or a combination of subjective and objective weighting methods can be used. The following table explains the characteristics of different weight calculation methods.

It can be seen that both the subjective and objective weighting methods only consider one of the expert opinions or values, and the weighting is biased. The subjective and objective weighted combination assignment method combines personal subjective judgment and data intuitive characteristics, and can perform qualitative and quantitative evaluation on the discrimination index. The data prediction model and fuzzy method in the present invention adopt the subjective and objective weighted combination assignment method, so as to better evaluate the real-time status of outdoor signs.

The central visualization management platform includes an online visualization module, which can realize data visualization and information query. Data visualization includes data query, graphic display and data export. Information query includes project information, monitoring plan, and equipment operation status query. The online visualization module is displayed indoors as a user interface with a display screen. The online visualization module is electrically connected to the central control module and the data prediction module. Therefore, staff can view real-time monitoring data and early warning data through the user interface.

As shown in Figures 2 to 5, this is a specific implementation of the central visualization management platform of the present invention. As a smart safety detection system for outdoor advertising signs in a certain city, its work interface includes a workbench, store sign management, equipment management, and cooperative unit management. It performs statistics on various types of data and displays detailed information on outdoor signs in different districts of the city, such as today's estimated statistics, sensor equipment statistics, and comprehensive early warning statistics. It can also display sensor parameter information in a certain time period in the form of charts, such as comprehensive early warning basic information display, safety hazard basic information display, and store basic information display.

Optimized, the present invention has certain limitations on the parameters of the structures required to be used, for example, the technical requirements of the displacement sensor and the inclination sensor are as follows:

Displacement sensor accuracy requirement: ±0.2mm;

The accuracy requirement of the inclination sensor is: ≤±0.01°, temperature drift coefficient is 0.002°/℃;

Working temperature and humidity: -10℃-60℃, 5%-95%;

Storage temperature: -20℃-85℃;

Protection grade: IP67.

For data transmission, NB-IoT and LoRa low-power wide area network deployment are supported, and the signals collected by relevant sensors are transmitted to the central visualization management platform. For more detailed restrictions, please refer to the table below.

The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims (7)

1. The intelligent monitoring system for the outdoor sign is characterized by comprising an online monitoring unit, an outdoor sign safety comprehensive evaluation and early warning system and a central visual management platform;

The on-line monitoring unit carries out security level evaluation and division on the outdoor sign based on an outdoor sign security comprehensive evaluation early warning system, so as to carry out real-time data monitoring and real-time early warning prompt on the outdoor sign, and the central visual management platform receives the monitoring data and early warning prompt data of the on-line monitoring unit and carries out data collection to assist city operation;

the working process of the online monitoring unit and outdoor signboard safety comprehensive evaluation early warning system comprises the following steps:

basic information phase: determining basic monitoring targets of different monitoring points according to the types of the outdoor signboards, safety influence factors and the field conditions of the projects, and combining an outdoor signboard safety evaluation hierarchical model, wherein the online monitoring unit monitors monitoring parameters corresponding to different monitoring positions of the basic monitoring targets, accumulates basic monitoring data and classifies the basic monitoring data;

Individual evaluation stage: the outdoor sign safety comprehensive evaluation early warning system utilizes the classified basic monitoring data to carry out microscopic evaluation and macroscopic evaluation, wherein the microscopic evaluation is specifically the safety evaluation of a single monitoring point, and the macroscopic evaluation is specifically the overall safety evaluation of the outdoor sign based on a fuzzy method;

And (3) comprehensively evaluating and deciding the safety of the outdoor sign: on the basis of an individual evaluation stage, an outdoor signboard safety comprehensive evaluation early warning system automatically early warns, an emergency plan is started, disaster prevention and reduction measures are made in advance, and the danger is relieved.

2. The intelligent monitoring system of claim 1, wherein the monitoring portion of the outdoor sign comprises a panel, a frame and an attached body, the monitoring parameters of the outdoor sign comprise stress strain, cracks, deformation, wind induced response, frequency and temperature and humidity, the monitoring portion corresponding to the stress strain is the panel, the frame, the monitoring portion corresponding to the cracks is the attached body, the monitoring portion corresponding to the deformation is the frame, the monitoring portion corresponding to the wind induced response is the panel, the frame, the monitoring portion corresponding to the frequency is the frame, and the monitoring portion corresponding to the temperature and the humidity is the panel.

3. The intelligent monitoring system of outdoor signs according to claim 1, wherein the real-time data detection comprises real-time dynamic tilt monitoring, real-time dynamic anchor face displacement monitoring, real-time vibration monitoring, real-time wind induced response monitoring, and real-time humidity monitoring;

The real-time dynamic tilt monitoring is specifically to arrange a tilt meter at the frame position of the advertising signboard, wherein the tilt meter is arranged in parallel with the frame so as to measure the change of the tilt angle of the frame;

the real-time dynamic anchoring surface displacement monitoring is specifically to arrange a displacement sensor on the surface of the attached body of the advertising signboard to detect whether the anchoring surface is detached or not;

the real-time vibration monitoring is specifically that when the advertisement signboard is damaged and deformed, the self-vibration period of the advertisement signboard is changed so as to detect the vibration frequency of the advertisement signboard;

The real-time wind-induced response monitoring is characterized in that displacement sensors are arranged at connection points of a panel and a framework of the advertising signboard, the horizontal displacement of the panel is monitored, a wind pressure sensor is arranged on the surface layer of the panel, and whether the panel displacement is related to wind pressure or not is judged;

the real-time humidity monitoring is specifically to arrange a hygrometer in the advertisement sign to monitor whether water is fed into the advertisement sign.

4. The intelligent monitoring system for outdoor signs according to claim 1, wherein the selection of the monitoring points can be divided according to the area, the setting type, the appearance condition and the people stream density;

when dividing according to the area, the area with higher urban degree is preferentially selected for monitoring, when dividing according to the setting type, the signboard with large risk coefficient and difficult daily maintenance is preferentially selected as the monitoring object, when dividing according to the appearance condition, the signboard with hidden danger of damage, water seepage or panel inclination is preferentially selected as the monitoring object, and when dividing according to the people flow density degree, the road section with higher people flow density degree is preferentially selected as the monitoring object.

5. The intelligent monitoring system of an outdoor sign according to claim 1, wherein the security level assessment and classification includes classification of security level, risk level, color level, pre-warning level;

The safety degree is specifically divided into 1,2,3, 4 and 5, the danger degree is divided into safety, basic safety, light danger, moderate danger and high danger, the color level is divided into blue, green, yellow, orange and red, and the early warning level is divided into I level early warning, II level early warning, III level early warning, IV level early warning and V level early warning.

6. The intelligent monitoring system of an outdoor sign according to claim 1, wherein the online monitoring unit comprises a data acquisition module, a communication assembly and a central control module, wherein the data acquisition module is provided with a plurality of monitoring points corresponding to different monitoring points and comprises a displacement sensor, an inclination sensor, a vibration sensor, a current sensor and a water immersion sensor, the data acquisition module is electrically connected with the communication assembly, and the communication assembly is electrically connected with the central control module;

The outdoor sign safety comprehensive evaluation early warning system comprises a data prediction module, an outdoor shop sign safety evaluation module and an outdoor shop offer amnesty and enlistment to rebels total warning module, wherein the data prediction module is based on a data prediction model of an LSTM neural network, the outdoor shop sign safety evaluation module is combined to rate the safety state of an outdoor sign by adopting a fuzzy method, and the outdoor shop offer amnesty and enlistment to rebels total warning module is based on real-time early warning prompt of the safety rate of the outdoor sign;

The central visual management platform comprises an online visual module, wherein the online visual module can realize data visualization and information inquiry, the data visualization comprises data inquiry, graphic display and data export, the information inquiry comprises project information, a monitoring scheme and equipment running state inquiry, and the online visual module is electrically connected with the central control module and the data prediction module.

7. The intelligent monitoring system for outdoor signs according to claim 6, wherein the technical requirements of the displacement sensor and the inclination sensor are as follows:

accuracy requirements of the displacement sensor: + -0.2 mm;

Precision requirements of the tilt sensor: less than or equal to +/-0.01 DEG, and a temperature drift coefficient of 0.002 DEG/DEG C;

working temperature, humidity: -10-60 ℃, 5-95%;

storage temperature: -20 ℃ -85 ℃;

Protection grade: IP67.