Scaffold safety monitoring and early warning system

Abstract

According to the scaffold safety monitoring and early warning system provided by the invention, the safety management and early warning functions of the scaffold are realized through real-time monitoring and data analysis. The system comprises a sensing layer, a network layer and an application layer, operation state data of the scaffold are collected in real time through equipment such as a sensor and a camera, and the data are transmitted to a background server through a wireless network. And the background server performs data storage and processing by utilizing a MySQL database, and realizes user data interaction and display by adopting a B / S architecture. The system carries out real-time analysis and abnormal value processing on monitoring data through a data visualization and analysis module, a real-time early warning module and a D-S evidence theory algorithm, potential safety hazards can be found in time, and an early warning notification can be provided. The system supports a plurality of early warning modes, and ensures that safety management personnel can quickly respond and take effective measures; the system can greatly improve scaffold construction safety, guarantee life safety of constructors, and provide intelligent decision support for managers.

Description

Technical Field

[0001] The present invention relates to the field of scaffolding safety monitoring and early warning, and specifically to a scaffolding safety monitoring and early warning system. Background Art

[0002] With the rapid development of the construction industry, scaffolding, as a common construction equipment, is widely used in various projects such as construction, decoration, and demolition. However, traditional scaffolding safety management methods often rely on manual inspections and regular checks. This method not only has low efficiency but also is prone to human oversight, and it is impossible to timely detect potential safety hazards in the scaffolding structure, thus leading to accidents at the construction site and posing a great threat to the lives and safety of construction workers.

[0003] At present, although some sensor-based safety monitoring systems have emerged on the market, most of them are limited to single monitoring parameters such as bearing capacity, displacement, temperature and humidity, etc., and cannot comprehensively and real-time monitor and early warn multiple safety factors of the scaffolding. In addition, the existing monitoring systems lack an effective early warning mechanism and are difficult to make timely responses and disposals before accidents occur, thus affecting the guarantee of construction safety.

[0004] Therefore, it is of great practical significance and broad application prospects to develop a scaffolding safety monitoring and early warning system that integrates multiple monitors, has real-time data collection and analysis functions, and can issue early warnings in a timely manner when potential risks occur. Summary of the Invention

[0005] To solve at least one of the technical problems existing in the prior art to a certain extent, the purpose of the present invention is to provide a scaffolding safety monitoring and early warning system to solve the existing problems.

[0006] To achieve the above purpose, the present invention provides the following technical solutions:

[0007] A scaffolding safety monitoring and early warning system includes three-layer structures: a perception layer, a network layer, and an application layer, and a real-time monitoring system, which collects real-time monitoring data at fixed time intervals and realizes the real-time monitoring and early warning functions for a large amount of data;

[0008] The perception layer includes a sensor system and an intelligent acquisition terminal, which are used to collect data on the operating state of the scaffolding in real time;

[0009] The network layer receives the monitoring data transmitted in real time by the intelligent acquisition terminal to the background server through a wireless network;

[0010] The application layer includes a background server, a database, and a front-end user interface. After the data is processed by the background service program, it realizes remote monitoring of the stress state of the members of the scaffolding structure and processes information in a timely manner according to the early warning information.

[0011] Furthermore, the implementation method of the perception layer includes:

[0012] The installed monitoring devices include sensors and cameras. Integrate each stress sensor into a sensor network, and the intelligent acquisition terminal transmits the sensor data through the network in the form of traffic;

[0013] The implementation method of the application layer includes:

[0014] Adopt the post and get request modes to submit and obtain data, and realize data transmission and interaction through the B / S (browser / server) architecture mode, so as to provide a good user experience; The overall system architecture is a B / S architecture of Vue + Spring Boot, that is, the browser / server architecture mode;

[0015] The implementation method of the database includes:

[0016] Use MySQL to store the real-time monitoring data, and use JDBC to define the specifications for database connection and operation, that is, define the interface for the Java language to connect to the Data Base;

[0017] On the server side, connect to the MySQL database through the SQLyog database connection software; Perform database management operations through SQLyog, including viewing the database table structure, creating new tables, and editing the table structure.

[0018] Furthermore, the database includes:

[0019] Stress and strain sensor real-time monitoring data table: This table records the key parameters of the safety monitoring of the scaffolding, including the measuring point number, recorded value, single change amount, total change amount, temperature, acquisition time, and alarm status; Among them, the measuring point number identifies the monitoring location, the recorded value and the change amount reflect the strain situation, the temperature records the environmental conditions, the acquisition time represents the data acquisition moment, and the alarm status identifies whether the alarm is triggered;

[0020] The humidity sensor real-time monitoring table: This table records the key monitoring data on the scaffolding, including the measuring point number, temperature, humidity, acquisition time, and alarm status; Among them, the measuring point number identifies the monitoring location, the temperature and humidity record the environmental parameters, and the acquisition time identifies the data acquisition moment;

[0021] Early warning information table: The structure of this table persists and stores the early warning information in the database, and records the sensor early warning abnormal information;

[0022] System background management staff role permission table: The system background management staff role table is used to store the permission information of the background management staff; By designing the user role table, it is convenient to manage the basic information of the role, support the creation, update and logical deletion of the role, and perform permission control operations on users;

[0023] System user table: The main field table of system users is used to store user information, including user ID, department ID, user account, user type, user email, mobile phone number, password, status, and creation time; The design of this system user table field is mainly for the realization of functions such as system user registration, login, related permission authentication, etc., and the persistent storage of user information.

[0024] Furthermore, the scaffolding safety monitoring and early warning system further includes:

[0025] System management sub-module: It includes adding and deleting the information of corresponding personnel, and relevant personnel can modify their personal information and passwords;

[0026] Device management sub-module: The main function of this sub-module is to add, delete, and modify relevant devices (such as various sensors), and be able to group similar devices;

[0027] Data analysis and visualization module: It displays the data collected by sensors in real time, generates corresponding line charts and force diagrams, and realizes the visualization of monitoring data;

[0028] Real-time early warning module: It is used to display the scaffolding safety early warning in real time;

[0029] Cloud AI analysis module: It is used to predict the potential risk trend of the scaffolding structure.

[0030] Furthermore, the implementation method of the data analysis and visualization module includes:

[0031] Combining the D-S evidence theory algorithm in the multi-sensor information fusion technology to perform real-time analysis on the scaffolding monitoring data;

[0032] Select the Grubbs criterion applicable to small sample data statistics as the processing method; Detect outliers, be able to identify the measurement data that may have problems, and perform further analysis or processing on it;

[0033] The home page of data visualization and analysis displays monitoring items, monitoring content, the number of measuring points, and operation information;

[0034] The connection to the database is implemented using the Java programming language and the corresponding database driver; the required data is retrieved from the database through a program with SQL query statements, and the query results are returned in the form of a data set or a data table; the query results are processed and formatted on the server side and converted into a format suitable for display on a web page, such as JSON, XML, or HTML; through the HTTP protocol, the processed data is sent to the browser side as part of the HTTP response; after receiving the data from the server, the browser uses HTML, CSS, and JavaScript code to parse, render, and display the data, realizing the display of the data in the MySQL database in the browser;

[0035] Select a suitable data visualization library, such as Apache Echarts, etc., obtain the monitoring data, and perform appropriate processing on it so as to organize it in a time series; design four independent conditional query "entries" on the front-end page; "wait" for the data returned by the server, and present the data returned after being analyzed and processed by the server in the form of a dynamic line chart, realizing the visual display of real-time monitoring data.

[0036] Furthermore, the process of the Grubbs' criterion includes:

[0037] Arrange the set of monitoring values in ascending order as: Z1 ≤ Z2 ≤ … ≤ Z n , is the set average;

[0038] Select a risk rate α, where α is the probability of misjudging data as abnormal data, which is 1%, 2.5%, or 5%;

[0039] Calculate the T1 value. Let Z n data is suspicious data: Then let:

[0040]

[0041] Calculate T n , let Z n data is suspicious, then let:

[0042]

[0043] If T1 > T(α, 1) or T n > T(α, n), it indicates that this outlier should be removed;

[0044] Loop the above operations until all abnormal data is removed.

[0045] Furthermore, the implementation method of the real-time warning module includes:

[0046] Monitoring threshold setting of the scaffolding: It is set according to the specific construction environment, scaffolding type, usage purpose, as well as relevant standards and specifications, including height limit, load limit, wind force, and foundation conditions;

[0047] Early warning notification interface: The early warning information is fed back to the user in the form of a UI interface, giving the user an intuitive warning effect to achieve the purpose of timely early warning;

[0048] Early warning information management: Record and persist the early warning information generated by the sensors;

[0049] In the D-S evidence theory algorithm program for real-time early warning, the monitoring data of the scaffolding collected by the device or sensor in real time is fused to evaluate the safety evaluation level of the scaffolding, and the evaluation level is fed back to the user in real time. The user conducts real-time monitoring and judgment according to the early warning level; if the early warning condition is triggered, the system will send an early warning notice to the safety management personnel in time, so as to take corresponding measures for the scaffolding in time to cope with potential safety risks.

[0050] Furthermore, the early warning information sending methods include two ways: system early warning reminder and mobile phone early warning:

[0051] System early warning reminder: When the system detects an abnormal situation, it displays the early warning reminder information to the user by calling the ElementUI plug-in;

[0052] Mobile phone early warning: Obtain the permission usage certificate by the Alibaba Cloud account and enabling the SMS service. Create an SMS template in the Alibaba Cloud console, write code using the SDK provided by Alibaba Cloud, and call the SMS sending interface in the code to send the early warning information to the specified mobile phone number.

[0053] Furthermore, the implementation method of the cloud AI analysis module includes:

[0054] Deployed on the cloud server, receiving the real-time monitoring data transmitted by the network layer, jointly analyzing the historical data and real-time data through machine learning algorithms (such as LSTM, random forest), and predicting the potential risk trend of the scaffolding structure;

[0055] Combining the D-S evidence theory algorithm to optimize the anomaly detection logic, dynamically adjusting the hazard rate α value of the Grubbs criterion, and improving the accuracy of outlier rejection;

[0056] Generating a risk assessment report, and returning the analysis result to the application layer through the API interface for the user's decision-making reference.

[0057] Furthermore, the scaffolding safety monitoring and early warning system also includes:

[0058] Combining the advantages of the monitoring data information collection and transmission of the Internet of Things technology, and analyzing the monitoring data by using the information fusion technology;

[0059] The system can collect, persistently store, and analyze various monitoring data of the scaffolding in real time, including the stress of structural members and environmental condition information; and use the information fusion technology, namely the D-S evidence theory, to comprehensively analyze these data in order to timely and accurately identify potential safety hazards and abnormal situations.

[0060] Compared with the existing technologies, the beneficial effects of the present invention are as follows:

[0061] (1) The real-time monitoring and analysis system of the present invention can timely discover the safety hazards existing in the external scaffolding, give early warnings and take measures, effectively guaranteeing the safety of construction workers.

[0062] (2) The real-time monitoring and analysis system of the present invention can extract valuable information from a large amount of monitoring data. This information can provide intelligent decision-making for management personnel.

[0063] (3) The present invention will realize functions such as information integration and display, data visualization chart analysis, etc. on a display interface, and realize functions such as real-time display of scaffolding parameters, scientific analysis, and scientific early warning. Description of the Drawings

[0064] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following introduces the accompanying drawings of the relevant technical solutions in the embodiments of the present invention or the prior art. It should be understood that the accompanying drawings introduced below are only for conveniently and clearly expressing some embodiments of the technical solutions in the present invention, and for those skilled in the art, without creative efforts, other drawings can also be obtained according to these drawings.

[0065] Figure 1 is a flowchart of a scaffolding safety monitoring and early warning in an embodiment of the present invention;

[0066] Figure 2 is a general framework diagram of a scaffolding safety monitoring and early warning system in an embodiment of the present invention;

[0067] Figure 3 is a flowchart of outlier processing in an embodiment of the present invention;

[0068] Figure 4 is a flowchart of scaffolding early warning in an embodiment of the present invention;

[0069] Figure 5 is a statistical chart of stress change in an embodiment of the present invention. Detailed Embodiments

[0070] Embodiments of the present application will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are only used to explain the present application and should not be construed as a limitation to the present application. For the step numbers in the following embodiments, they are only set for the convenience of explanation and illustration, and no limitation is imposed on the order between steps. The execution order of each step in the embodiments can be adaptively adjusted according to the understanding of those skilled in the art.

[0071] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to limit the embodiments of the present application. The singular forms "a", "the" and "said" used in the embodiments of the present application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. In addition, unless otherwise clearly defined, words such as "set", "installed", "connected" should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above words in the present invention in combination with the specific content of the technical solution.

[0072] In the description of the present application, it should be understood that for the orientation description, such as the orientation or positional relationship indicated by up, down, front, back, left, right, etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present application.

[0073] In the description of the present application, the meaning of "several" is one or more, the meaning of "multiple" is two or more, and understandings such as "greater than", "less than", "exceeding" do not include the recited number, and understandings such as "above", "below", "within" include the recited number. If there is a description of "first" and "second", it is only for the purpose of distinguishing technical features and should not be construed as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features or implicitly indicating the sequence relationship of the indicated technical features.

[0074] In the description of the present application, " / and / " describes the association relationship of associated objects and indicates that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. These three situations. The character " / " generally represents an "or" relationship between the associated objects before and after.

[0075] As Figure 1 and Figure 2 shown, this embodiment provides a scaffolding safety monitoring and early warning system, including three-layer structures: a perception layer, a network layer, and an application layer, a real-time monitoring system, which collects real-time monitoring data at fixed time intervals and realizes the real-time monitoring and early warning functions for a large amount of data.

[0076] The perception layer consists of devices such as sensor systems and intelligent acquisition terminals, and is used to collect data on the operating status of the scaffolding in real time;

[0077] The network layer receives the monitoring data transmitted in real time by the intelligent acquisition terminal to the background server through the 4G network;

[0078] The application layer consists of parts such as a background server, a database, and a front-end user interface. After the data is processed by the background service program, the stress state of the members of the scaffolding structure can be remotely monitored, and information can be processed in a timely manner according to the warning information.

[0079] As an implementation method, the perception layer includes installation monitoring devices including sensors and cameras. Each stress sensor is integrated into a sensor network, and the intelligent integration terminal transmits the sensor data through the network in the form of "traffic".

[0080] As an implementation method, the application layer uses the post and get request modes to submit and obtain data, and realizes data transmission and interaction through the B / S (browser / server) architecture mode, so as to provide a good user experience. The overall system architecture is a B / S architecture of Vue + Spring Boot, that is, the browser / server architecture mode.

[0081] As an implementation method, MySQL is used in the database to store the real-time monitoring data. JDBC defines the specifications for database connection and operation, that is, it defines the interface for connecting the Java language to the Data Base; on the server side, the connection to the MySQL database is realized through the Sqlyog database connection software. Database management operations are performed through SQLyog, including viewing the database table structure, creating new tables, editing the table structure, etc.

[0082] The working principle of the system in this embodiment is as follows: The scaffolding safety monitoring and warning system collects device operation data in real time through various sensors fixed on the scaffolding, stores it in the server through a 5G private network, and after data processing, the final result is presented on the upper computer (PC side); signals such as DCS and PLC on site are docked through the OPC protocol, and the data is connected to the system, so as to realize the integration and unification of signals.

[0083] In addition, the scaffolding safety monitoring and early warning system has a real-time monitoring and alarm function. It can trigger corresponding warning signals according to different bearing capacities, displacements, temperature and humidity conditions of the scaffolding. Different alarm states are marked in the system with different and eye-catching colors. After the alarm is triggered, users can quickly view the operation status of the scaffolding on the web monitoring screen and promptly repair and handle the scaffolding with potential safety risks. Ultimately, it can achieve "early detection, early prevention, and early resolution" of scaffolding safety hazards, thereby reducing the significant losses caused by scaffolding safety accidents.

[0084] The following will explain and illustrate the system of this embodiment in detail in combination with the attached drawings and specific implementation manners.

[0085] (1) Monitoring tables:

[0086] Participate Figure 5 , Real-time monitoring data table of stress and strain sensors: This table records the key parameters of the scaffolding safety monitoring, such as the measuring point number, recorded value, single change amount, total change amount, temperature, acquisition time, and alarm status. The measuring point number identifies the monitoring location, the recorded value and change amount reflect the strain situation, the temperature records the environmental conditions, the acquisition time indicates the data acquisition moment, and the alarm status identifies whether an alarm is triggered.

[0087] Real-time monitoring table of temperature and humidity sensors: Records the key monitoring data on the scaffolding, including fields such as the measuring point number, temperature, humidity, acquisition time, and alarm status. The measuring point number identifies the location of the sensor, the temperature and humidity record the environmental parameters, and the acquisition time identifies the data acquisition time.

[0088] (2) System information

[0089] Early warning information table: The structure of this table persists the early warning information in the database, mainly recording the abnormal information of sensor early warnings;

[0090] System background management personnel role permission table: The system background management personnel role table is used to store information related to the permissions of background management personnel. By designing the user role table, it is convenient to manage the basic information of roles, support the creation, update, and logical deletion of roles, and perform permission control operations on users.

[0091] System user table: The main field table of system users is used to store user information, including fields such as user ID, department ID, user account, user type, user email, mobile phone number, password, status, and creation time. The design of the fields in this system user table is mainly for the realization of functions such as user registration, login, related permission authentication, and the persistent storage of user information.

[0092] (3) System function modules

[0093] System management sub-module: It includes adding and deleting information of corresponding personnel, and relevant personnel can modify their personal information and passwords, etc.

[0094] Device management sub-module: The main functions of this subsystem can add, delete, and modify relevant devices (such as various sensors), and can group similar devices.

[0095] Data analysis and visualization module: It displays the data collected by sensors in real time, generates corresponding line charts and force diagrams, and realizes the visualization of monitoring data.

[0096] Real-time warning module: It is used to display the safety warning of the scaffolding in real time.

[0097] Cloud AI analysis module: The cloud server adopts a distributed architecture, receives real-time data streams transmitted by the network layer through Kafka, stores them in the Hadoop cluster, and uses the TensorFlow framework to train the LSTM model. Input historical monitoring data (such as stress and temperature sequences), and output the risk probability for the next 24 hours. When the risk probability exceeds the preset threshold, it triggers the system warning module and pushes the analysis report via email or text message.

[0098] (4) Visualization module

[0099] Combined with the D-S evidence theory algorithm in the multi-sensor information fusion technology, it analyzes the scaffolding monitoring data in real time.

[0100] See Figure 3 , and select the Grubbs criterion applicable to small sample data statistics as the processing method. Detect outliers, identify measurement data that may have problems, and conduct further analysis or processing on them.

[0101] The home page of data visualization and analysis displays information such as monitoring items, monitoring content, the number of measuring points, and operations.

[0102] Use the Java programming language and the corresponding database driver to implement the connection to the database. Query the required data from the database through the program of SQL query statements, and the query results are returned in the form of a data set or a data table. Process and format the query results on the server side, and convert them into a format suitable for display on the web page, such as JSON, XML, or HTML. Through the HTTP protocol, send the processed data as part of the HTTP response to the browser side. After the browser receives the data from the server, use HTML, CSS, and JavaScript code to parse, render, and display the data, and realize the display of the data in the MySQL database in the browser.

[0103] Select a suitable data visualization library, such as Apache Echarts, etc., obtain the monitoring data, and perform appropriate processing on it for organization in time series. Design four independent conditional query "entrances" on the front-end page. "Wait" for the data returned by the server, and present the data returned after analysis and processing by the server in the form of a dynamic line chart to achieve the visualization display of real-time monitoring data.

[0104] The calculation process of applying Grubbs' criterion includes:

[0105] Arrange the set of monitoring values in ascending order as: Z1 ≤ Z2 ≤ … ≤ Z n , is the set average;

[0106] Select the significance level α. Note: α is the probability that the data is misjudged as abnormal data, which is 1%, 2.5%, 5%;

[0107] Calculate the value of T1. Let Z n the data is a suspect data: then let:

[0108]

[0109] Calculate T n , let Z n the data is suspect, then let:

[0110]

[0111] If T1 > T(α, 1) or T n > T(α, n), it indicates that this outlier should be removed;

[0112] Loop the above operations until all abnormal data is removed.

[0113] (5) Real-time warning module

[0114] Set the monitoring threshold of the scaffolding: Set it according to the specific construction environment, scaffolding type, usage purpose, and relevant standards and specifications, including height limit, load limit, wind force, foundation conditions;

[0115] Warning notification interface: Feed back the warning information to the user in the form of a UI interface to give the user an intuitive warning effect for the purpose of timely warning;

[0116] Warning information management: Record and persist the warning information generated by the sensor;

[0117] See Figure 4, in the D-S evidence theory algorithm program for real-time warning, information fusion is carried out on the monitoring data of the scaffolding collected by the device or sensor in real time, so as to evaluate the safety evaluation level of the scaffolding body, and the evaluation level is fed back to the user in real time. The user conducts real-time monitoring and judgment according to the warning level. If the warning condition is triggered, the system will send a warning notice to the safety management personnel in time, so as to take corresponding measures for the scaffolding in time to cope with potential safety risks.

[0118] (6) Warning information sending method

[0119] System warning reminder: When the system detects an abnormal situation, it displays a warning reminder message to the user by calling the ElementUI plug-in;

[0120] Telephone and SMS warning: The permission use certificate obtained by the Alibaba Cloud account and opening the SMS service. Create an SMS template in the Alibaba Cloud console, write code using the SDK provided by Alibaba Cloud, and call the SMS sending interface in the code to send the warning information to the specified mobile phone number.

[0121] (7) Conclusion

[0122] Based on providing complete scaffolding status information, the monitoring and warning system automatically analyzes and warns the scaffolding status, and accurately judges the risk hidden dangers of the scaffolding through expert diagnosis, enabling the scaffolding management personnel to grasp the scaffolding status in real time and accurately, bringing the following benefits to construction enterprises:

[0123] 1) Realize the integration of management and control

[0124] Digital management and intelligent warning to prevent sudden accidents make the scaffolding safety monitoring and warning system an indispensable important part of the digital construction site, and promote the improvement of the safety management level of construction enterprises.

[0125] 2) Promote staff reduction and efficiency increase

[0126] Optimize the scaffolding management and control plan, greatly reduce the human resource input on site, improve the management and control efficiency, improve the enterprise automation level, and create the best conditions for implementing staff reduction and efficiency increase.

[0127] Repair time; improve safety and ensure quality.

[0128] 3) Control the scaffolding status anytime and anywhere

[0129] The system adopts a B\S web architecture. Personnel who have obtained management or browsing permissions can understand the real-time operation status of the scaffolding through the Internet anytime and anywhere, making the work of the management layer and the scaffolding management personnel easier.

[0130] The system of the present invention has great benefits for the monitoring and early warning of scaffolding at construction sites, improving the production capacity of enterprises, ensuring safe production, and improving product quality, and has very important significance in the development of various sectors of the national economy.

[0131] In the description of this specification, the description referring to terms such as "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0132] The above embodiments are only for illustrating the technical concept and characteristics of the present invention, and the purpose is to enable those of ordinary skill in the art to understand the content of the present invention and implement it accordingly, and cannot be used to limit the protection scope of the present invention. Any equivalent changes or modifications made according to the essence of the content of the present invention should be covered within the protection scope of the present invention.

Claims

1. A scaffolding safety monitoring and warning system, characterized in that, It includes three-layer structure of perception layer, network layer and application layer, collects real-time monitoring data at fixed time intervals, and realizes the functions of real-time monitoring and early warning of a large amount of data; The perception layer includes a sensor system and an intelligent acquisition terminal, which are used to collect data on the operation state of the scaffolding in real time; The network layer receives the monitoring data transmitted in real time by the intelligent acquisition terminal to the background server through the wireless network; The application layer includes a background server, a database, and a front-end user interface. After the data is processed by the background service program, it realizes remote monitoring of the stress state of the members of the scaffolding structure and processes information in a timely manner according to the warning information.

2. The safety monitoring and early warning system for scaffolding according to claim 1, characterized in that The implementation method of the perception layer includes: The installed monitoring devices include sensors and cameras. The stress sensors are integrated into a sensor network, and the intelligent acquisition terminal transmits the sensor data through the network in the form of traffic; The implementation method of the application layer includes: The post and get request modes are used for data submission and acquisition, and the data transmission and interaction are realized through the B / S architecture mode, so as to provide a good user experience; The overall system architecture is the B / S architecture of Vue + Spring Boot, that is, the browser / server architecture mode; The implementation method of the database includes: MySQL is used to store the real-time monitoring data, and JDBC is used to define the specifications for database connection and operation, that is, to define the interface for connecting Java language and Data Base; On the server side, the connection to the MySQL database is realized through the SQLyog database connection software; Database management operations are carried out through SQLyog, including viewing the database table structure, creating new tables, and editing the table structure.

3. A scaffolding safety monitoring and early warning system according to claim 1, characterized in that, The database includes: Stress and strain sensor real-time monitoring data table: This table records the key parameters of the safety monitoring of the scaffolding, including the measuring point number, recorded value, single change amount, total change amount, temperature, acquisition time, and alarm status; Among them, the measuring point number identifies the monitoring position, the recorded value and the change amount reflect the strain situation, the temperature records the environmental conditions, the acquisition time represents the data acquisition moment, and the alarm status identifies whether the alarm is triggered; The humidity sensor real-time monitoring table: This table records the key monitoring data on the scaffolding, including the measuring point number, temperature, humidity, acquisition time, and alarm status; Among them, the measuring point number identifies the monitoring position, the temperature and humidity record the environmental parameters, and the acquisition time identifies the data acquisition moment; Warning information table: The structure of this table persists and stores the warning information in the database, and records the abnormal information of the sensor warning; System background management personnel role permission table: The system background management personnel role table is used to store the permission information of the background management personnel; Through the design of the user role table, it is convenient to manage the basic information of the role, supports the creation, update and logical deletion of the role, and controls the permissions of the user; System user table: The main field table of the system users is used to store user information, including user ID, department ID, user account, user type, user email, mobile phone number, password, status, and creation time.

4. A scaffolding safety monitoring and early warning system according to claim 1, characterized in that, The scaffolding safety monitoring and early warning system also includes: System management sub-module: It includes adding and deleting information of corresponding personnel, and relevant personnel can modify their personal information and passwords; Equipment management sub-module: The main functions of this sub-module are to add, delete, and modify relevant equipment, and to group similar equipment; Data analysis and visualization module: It displays the data collected by sensors in real time, generates corresponding line charts and force diagrams, and realizes the visualization of monitoring data; Real-time warning module: It is used to display the safety warning of the scaffolding in real time; Cloud AI analysis module: It is used to predict the potential risk trend of the scaffolding structure.

5. The safety monitoring and early warning system for scaffolding according to claim 4, characterized in that, The implementation method of the data analysis and visualization module includes: Combining the D-S evidence theory algorithm in the multi-sensor information fusion technology to analyze the scaffolding monitoring data in real time; Selecting the Grubbs criterion applicable to small sample data statistics as the processing method; detecting outliers, being able to identify the measurement data that may have problems, and further analyzing or processing it; The home page of data visualization and analysis displays monitoring items, monitoring content, the number of measuring points, and operation information; Using the Java programming language and the corresponding database driver to implement the connection to the database; querying the required data from the database through the program of SQL query statements, and the query results are returned in the form of data sets or data tables; processing and formatting the query results on the server side, and converting them into a format suitable for display on the web page; through the HTTP protocol, sending the processed data as part of the HTTP response to the browser side; after the browser receives the data from the server, using HTML, CSS, and JavaScript codes to parse, render, and display the data, and realizing the display of the data in the MySQL database in the browser; Selecting a suitable data visualization library, obtaining the monitoring data, and performing appropriate processing on it so as to organize it in time series; designing four independent conditional query entrances on the front-end page; waiting for the data returned by the server, and presenting the data returned after being analyzed and processed by the server in the form of a dynamic line chart, and realizing the visualization display of the real-time monitoring data.

6. The scaffold safety monitoring and warning system according to claim 5, characterized in that, The process of the Grubbs criterion includes: Arrange the set of monitoring values in ascending order as: Z1 ≤ Z2 ≤ … ≤ Z n , is the set average value; Selecting the significance level α; Calculate the T1 value, set Z n The data is suspicious data: Then let: Calculate T n , assume Z n The data is suspicious, then let: If T1 > T(α, 1) or T n > T(α, n), it indicates that this outlier should be removed; Looping the above operations until all abnormal data are removed.

7. The safety monitoring and warning system for scaffolding according to claim 4, characterized in that, The implementation method of the real-time warning module includes: Setting the monitoring threshold of the scaffolding: It is set according to the specific construction environment, scaffolding type, usage purpose, and relevant standards and specifications, including height limit, load limit, wind force, and foundation conditions; Warning notification interface: Feedback the warning information to the user in the form of a UI interface, giving the user an intuitive warning effect to achieve the purpose of timely warning; Warning information management: Recording and persisting the warning information generated by the sensor; The D-S evidence theory algorithm program in real-time early warning performs information fusion on the monitoring data of the scaffolding collected in real-time by devices or sensors, so as to evaluate the safety evaluation level of the scaffolding structure, and feedback the evaluation level to the user in real-time. The user conducts real-time monitoring and judgment according to the early warning level. If the early warning condition is triggered, the system will send an early warning notice to the safety management personnel in time, so as to take corresponding measures for the scaffolding in time to cope with potential safety risks.

8. A scaffolding safety monitoring and early warning system according to claim 7, characterized in that, The early warning information sending methods include two ways: system early warning reminder and mobile phone early warning. System early warning reminder: When the system detects an abnormal situation, it displays the early warning reminder information to the user by calling the ElementUI plug-in. Mobile phone early warning: Obtain the permission usage certificate by opening the SMS service with an Alibaba Cloud account. Create an SMS template in the Alibaba Cloud console, write code using the SDK provided by Alibaba Cloud, and call the SMS sending interface in the code to send the early warning information to the specified mobile phone number.

9. A scaffolding safety monitoring and warning system according to claim 4, characterized in that, The implementation method of the cloud AI analysis module includes: Deployed on the cloud server, receive the real-time monitoring data transmitted by the network layer, and conduct joint analysis on the historical data and real-time data through machine learning algorithms to predict the potential risk trend of the scaffolding structure. Optimize the abnormal detection logic by combining the D-S evidence theory algorithm, dynamically adjust the hazard rate α value of the Grubbs criterion, and improve the accuracy of abnormal value rejection. Generate a risk assessment report, and return the analysis result to the application layer through the API interface for the user's decision-making reference.

10. A scaffolding safety monitoring and early warning system according to claim 1, characterized in that The scaffolding safety monitoring and early warning system also includes: Combine the advantages of the monitoring data information collection and transmission of the Internet of Things technology, and use the information fusion technology to analyze the monitoring data. The system can collect, persistently store, and analyze the monitoring data of the scaffolding in real-time, including the stress of structural members and environmental condition information; and use the information fusion technology, that is, the D-S evidence theory, to comprehensively analyze these data in order to identify potential safety hazards and abnormal situations in a timely and accurate manner.

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