Scaffold posture monitoring method based on internet of things communication

Abstract

This invention provides a scaffolding posture monitoring method based on Internet of Things (IoT) communication. It collects scaffolding images, real-time scaffolding vibration data, and atmospheric flow data of the scaffolding environment. From these data, it filters out the locations of all scaffolding component detachment events, providing a sufficient data foundation for determining whether a scaffolding collapse will occur. This improves the predictability and accuracy of scaffolding monitoring, ensuring comprehensive investigation and early warning before a scaffolding collapse occurs.

Description

Technical Field

[0001] This invention relates to the technical field of building safety monitoring, and in particular to a method for monitoring scaffold posture based on Internet of Things (IoT) communication. Background Technology

[0002] Scaffolding, as a climbing aid, is widely used on construction sites. Scaffolding consists of several support poles and two-way / three-way connecting structures. The support poles are fixed to these structures using screws or bolts, thus assembling the scaffolding. Scaffolding is typically installed outdoors, and over time, screws or bolts inevitably loosen, causing the support poles to lose their secure connection to the two-way / three-way structures. Furthermore, strong winds outdoors can also affect the overall stability of the scaffolding. Current technology involves installing tilt sensors at different locations on the scaffolding to monitor its tilt in real time and determine if there is a risk of collapse. However, this method, relying solely on tilt angle as a basis for judgment, cannot accurately predict whether a collapse will occur in advance, reducing the predictability and accuracy of scaffolding monitoring and hindering comprehensive inspection and early warning before a collapse. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a scaffolding posture monitoring method based on Internet of Things (IoT) communication. This method identifies loose scaffolding connections based on images of different parts of the scaffolding; determines abnormal vibration areas based on vibration data obtained from vibration detection of different parts of the scaffolding; uses an IoT platform terminal to determine if the loose scaffolding connections overlap with the abnormal vibration areas; and, if overlap exists, determines whether a scaffolding collapse will occur in the corresponding abnormal vibration area based on atmospheric flow data in the vicinity of the abnormal vibration area. Scaffold component detachment events: Based on the distribution information of all scaffold component detachment events, it is determined whether a scaffold collapse event will occur. Then, the judgment result is sent to the IoT platform terminal via targeted notification messages. The platform collects scaffold images, real-time scaffold vibration data, and atmospheric flow data of the scaffold environment, and filters out the locations of all scaffold component detachment events. This provides a sufficient data foundation for judging whether a scaffold collapse event will occur, improves the advance and accuracy of scaffold monitoring, and ensures comprehensive investigation and early warning before a scaffold collapse occurs.

[0004] This invention provides a method for monitoring the posture of scaffolding based on Internet of Things (IoT) communication, which includes the following steps:

[0005] Step S1: Take pictures of different parts of the scaffolding to obtain scaffolding images corresponding to each part; analyze and process the scaffolding images to preliminarily identify the loose scaffolding connections in the corresponding parts; and upload the location information of the loose scaffolding connections in the corresponding parts to the Internet of Things platform terminal.

[0006] Step S2: Vibration detection is performed on different parts of the scaffolding to obtain the vibration information corresponding to each part; the vibration information is analyzed and processed to determine the abnormal vibration areas of the scaffolding; the location information of the abnormal vibration areas in the corresponding parts is uploaded to the IoT platform terminal; then the IoT platform terminal is used to determine whether the location of the loose scaffolding connection overlaps with the abnormal vibration area.

[0007] Step S3: If there is a location overlap, determine whether a scaffolding component detachment event will occur in the corresponding abnormal vibration area based on the atmospheric flow data of the space near the corresponding abnormal vibration area; if it will occur, upload the location information corresponding to the scaffolding component detachment event to the IoT platform terminal.

[0008] Step S4: Based on the location distribution information of all scaffolding component detachment events, the IoT platform terminal determines whether a scaffolding collapse event will occur; and sends a targeted notification message on the determination result of the collapse event through the IoT platform terminal.

[0009] Furthermore, in step S1, taking pictures of different parts of the scaffold to obtain scaffold images corresponding to each part specifically includes:

[0010] The drone is instructed to hover around different altitude ranges in the circumferential outer area of ​​the scaffolding; during the hovering flight, the drone's built-in wide-angle camera performs a panoramic scan of the corresponding altitude range, obtaining a panoramic image of the scaffolding section at the corresponding altitude range; and then uploads the panoramic images of the scaffolding section at all altitude ranges to the IoT platform terminal.

[0011] Further, in step S1, the scaffolding image is analyzed and processed to initially identify the loose scaffolding connections in the corresponding sections; and the location information of the loose scaffolding connections in the corresponding sections is uploaded to the IoT platform terminal, specifically including:

[0012] Based on the altitude range corresponding to the panoramic images of all scaffold sections, the panoramic images of all scaffold sections are stitched together sequentially to obtain the panoramic image of the scaffold.

[0013] After performing pixel grayscale processing and pixel edge sharpening processing on the panoramic image of the scaffolding, the screw engagement depth value corresponding to the scaffolding connection joint is extracted from the panoramic image of the scaffolding.

[0014] If the screw engagement depth is less than or equal to a preset depth threshold, the corresponding scaffolding connection joint is determined to be a loose scaffolding connection; otherwise, the corresponding scaffolding connection joint is determined not to be a loose scaffolding connection.

[0015] Then, the location information of all loose scaffold connections on the scaffold is uploaded to the IoT platform terminal.

[0016] Further, in step S2, vibration detection is performed on different parts of the scaffolding to obtain the actual vibration information corresponding to each part; the actual vibration information is analyzed and processed to determine the abnormal vibration areas of the scaffolding; and the location information of the abnormal vibration areas in the corresponding parts is uploaded to the IoT platform terminal, specifically including:

[0017] The distributed acceleration sensing devices installed on the scaffolding are instructed to collect periodic vibration data of different scaffolding connection joints, and obtain vibration amplitude and frequency data of each scaffolding connection joint, which are used as the vibration real-time information.

[0018] Based on the vibration amplitude data and the vibration frequency data, the average vibration amplitude value and the average vibration frequency value of the scaffold connection joint are obtained. If the average vibration amplitude value is greater than or equal to a preset vibration amplitude threshold, or the average vibration frequency value is greater than or equal to a preset vibration frequency threshold, then the area of ​​the corresponding scaffold connection joint on the scaffold is determined to be an abnormal vibration area. Then, the location information of all abnormal vibration areas on the scaffold is uploaded to the Internet of Things platform terminal.

[0019] Furthermore, in step S2, determining whether the location of the loose scaffold connection overlaps with the abnormal vibration area via the IoT platform terminal specifically includes:

[0020] The location information of each loose scaffold connection on the scaffold is compared with the location information of all abnormal vibration areas on the scaffold by the IoT platform terminal. If the location information of one loose scaffold connection overlaps with the location information of one abnormal vibration area, it is determined that the loose scaffold connection and the abnormal vibration area are in the same position.

[0021] Furthermore, in step S3, if there is a location overlap, the atmospheric flow data near the corresponding abnormal vibration area is used to determine whether a scaffolding component detachment event will occur in the corresponding abnormal vibration area; if it will occur, the location information corresponding to the scaffolding component detachment event is uploaded to the IoT platform terminal, specifically including:

[0022] If there is a location overlap, the distributed wind speed / direction sensing device installed on the scaffolding is instructed to collect wind speed and wind direction data in the vicinity of the corresponding abnormal vibration area; the wind speed and wind direction data are analyzed and processed to determine whether wind field eddies occur in the corresponding abnormal vibration area;

[0023] If wind field eddies are present, it is determined that a scaffolding component detachment event will occur in the corresponding abnormal vibration area; if wind field eddies are not present, it is determined that a scaffolding component detachment event will not occur in the corresponding abnormal vibration area.

[0024] If a scaffolding component falls off, the location information corresponding to all scaffolding component falls off will be uploaded to the IoT platform terminal.

[0025] Furthermore, in step S4, determining whether a scaffold collapse will occur based on the location distribution information of all scaffold component detachment events via the IoT platform terminal specifically includes:

[0026] The IoT platform terminal determines the average distance between the locations of all scaffolding component detachment events based on the distribution information of the locations of all scaffolding component detachment events. If the average distance is less than or equal to a preset distance threshold, it is determined that a scaffolding collapse event will occur; otherwise, it is determined that a scaffolding collapse event will not occur.

[0027] Furthermore, in step S4, sending a targeted notification message about the judgment result of the collapse event through the IoT platform terminal specifically includes:

[0028] When the IoT platform terminal determines that a collapse event will occur, it will broadcast the predicted location information of the collapse event's location to the corresponding target terminal in the form of a broadcast message.

[0029] Furthermore, in step S4, when the IoT platform terminal determines that a collapse event will occur, sending the predicted location information of the collapse event's occurrence area to the corresponding target terminal in the form of a broadcast message specifically includes:

[0030] Step S401: Control the information transmitting antenna of the IoT platform terminal to be in the vertical direction, and then send the predicted location information of the collapse event in the form of a broadcast message. Then, using the following formula (1), based on the information return status and information return order of each target terminal, select the target terminal with the fastest information return, and select the target terminal closest to the IoT platform terminal based on the distance value extracted from the information return status. Each target terminal will be numbered according to the access order of the target terminals, denoted as a, i.e., the a-th target terminal.

[0031]

[0032] In the above formula (1), A represents the target terminal that returns the information the fastest as the Ath target terminal; B represents the target terminal that is closest as the Bth target terminal; t0 represents the initial time when the IoT platform terminal sends the information to the targeted notification; t(a) represents the time when the IoT platform terminal receives the status information returned by the ath target terminal; G(b) represents the GPS positioning data of the bth target terminal extracted from the status information returned by the bth target terminal; G0 represents the GPS positioning data of the IoT platform; S[,] represents calculating the distance between the two GPS positioning data within the parentheses; n represents the total number of target terminals; This indicates the value of a that is obtained when the values ​​of a from 1 to n are substituted into the parentheses to get the minimum value of the values ​​inside the parentheses; This means that the value of b is obtained by substituting the values ​​of b from 1 to n into the parentheses to get the minimum value within the parentheses;

[0033] Step S402: Using the formula (2) below, based on the position status in the information return states of the fastest and closest target terminals, obtain the vertex angle value of the IoT platform position in the triangle formed by the two target terminals and the IoT platform.

[0034]

[0035] In the above formula (2), θ represents the vertex angle value of the IoT platform position in the triangle formed by the two target terminals and the IoT platform; G(A) represents the GPS positioning data of the Ath target terminal extracted from the status information returned by the Ath target terminal; G(B) represents the GPS positioning data of the Bth target terminal extracted from the status information returned by the Bth target terminal.

[0036] Step S403: Using the following formula (3), based on the apex angle value at the location of the IoT platform, control the deflection direction of the information transmission antenna of the IoT platform terminal.

[0037]

[0038] In the above formula (3), This indicates the deflection direction control angle value of the information transmission antenna of the IoT platform terminal;

[0039] First, the tip of the information transmitting antenna of the IoT platform terminal is directed towards the GPS positioning direction of the Ath target terminal, and then rotated in a direction that minimizes the angle of rotation to the GPS positioning direction of the Bth target terminal. Adjust the angle, then remain still.

[0040] Compared to existing technologies, this scaffolding posture monitoring method based on IoT communication identifies loose scaffolding connections based on images of different parts of the scaffolding; it determines abnormal vibration areas based on vibration data obtained from vibration detection of different parts of the scaffolding; it uses an IoT platform terminal to determine if the loose scaffolding connections overlap with the abnormal vibration areas; and if overlap exists, it uses atmospheric flow data in the vicinity of the corresponding abnormal vibration area to determine whether scaffolding component detachment events will occur; based on the distribution of all scaffolding component detachment events, it determines whether a scaffolding collapse event will occur, and then sends targeted notification messages about the collapse event determination via the IoT platform terminal. This method collects scaffolding images, real-time scaffolding vibration data, and atmospheric flow data of the scaffolding environment, filtering out the locations of all scaffolding component detachment events to provide a sufficient data foundation for determining whether a scaffolding collapse event will occur, improving the predictability and accuracy of scaffolding monitoring, and ensuring comprehensive investigation and early warning before a scaffolding collapse.

[0041] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0042] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a flowchart illustrating the scaffold posture monitoring method based on Internet of Things communication provided by the present invention. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] See Figure 1 This is a flowchart illustrating the scaffolding posture monitoring method based on Internet of Things (IoT) communication provided in an embodiment of the present invention. The scaffolding posture monitoring method based on IoT communication includes the following steps:

[0047] Step S1: Take pictures of different parts of the scaffolding to obtain scaffolding images corresponding to each part; analyze and process the scaffolding images to preliminarily identify the loose scaffolding connections in the corresponding parts; and upload the location information of the loose scaffolding connections in the corresponding parts to the IoT platform terminal.

[0048] Step S2: Vibration detection is performed on different parts of the scaffolding to obtain the vibration information corresponding to each part; the vibration information is analyzed and processed to determine the abnormal vibration area of ​​the scaffolding; the location information of the abnormal vibration area in the corresponding part is uploaded to the IoT platform terminal; then the IoT platform terminal is used to determine whether the location of the loose scaffolding connection overlaps with the abnormal vibration area.

[0049] Step S3: If there is a location overlap, determine whether a scaffolding component detachment event will occur in the corresponding abnormal vibration area based on the atmospheric flow data of the space near the corresponding abnormal vibration area; if it will occur, upload the location information corresponding to the scaffolding component detachment event to the IoT platform terminal.

[0050] Step S4: Based on the location distribution information of all scaffolding component detachment events, the IoT platform terminal determines whether a scaffolding collapse event will occur; and sends a targeted notification message regarding the determination result of the collapse event through the IoT platform terminal.

[0051] The beneficial effects of the above technical solution are as follows: This scaffolding posture monitoring method based on IoT communication identifies loose scaffolding connections in different parts of the scaffolding based on scaffolding images; it determines abnormal vibration areas of the scaffolding based on vibration data obtained from vibration detection of different parts of the scaffolding; it judges whether the loose scaffolding connections and abnormal vibration areas overlap through the IoT platform terminal; and when there is overlap, it judges whether the scaffolding will experience a scaffolding malfunction based on atmospheric flow data in the vicinity of the corresponding abnormal vibration area. Scaffolding component detachment events: Based on the distribution information of all scaffolding component detachment events, it is determined whether a scaffolding collapse event will occur. Then, the IoT platform terminal sends targeted notification messages on the judgment results of the collapse event. It collects scaffolding images, real-time scaffolding vibration data, and atmospheric flow data of the scaffolding environment, and filters out the locations of all scaffolding component detachment events from them. This provides a sufficient data foundation for judging whether a scaffolding collapse event will occur, improves the advance and accuracy of scaffolding monitoring, and ensures comprehensive investigation and early warning before a scaffolding collapse occurs.

[0052] Preferably, in step S1, taking pictures of different parts of the scaffold to obtain scaffold images corresponding to each part specifically includes:

[0053] The drone is instructed to hover around different altitude ranges in the circumferential outer area of ​​the scaffolding; during the hovering flight, the drone's built-in wide-angle camera performs a panoramic scan of the corresponding altitude range, obtaining a panoramic image of the scaffolding section at the corresponding altitude range; and then uploads the panoramic images of the scaffolding section at all altitude ranges to the IoT platform terminal.

[0054] The beneficial effects of the above technical solution are as follows: In practical applications, the scaffolding can be divided into several sections with different altitude ranges from low to high. Then, the drone can be instructed to hover around the perimeter of different sections from low to high. At the same time, the built-in wide-angle camera can be used to perform panoramic scanning and shooting of each altitude range, thereby obtaining a panoramic image of the scaffolding section corresponding to each altitude range. This facilitates the subsequent detailed identification and analysis of the panoramic image of the scaffolding section by the IoT platform terminal.

[0055] Preferably, in step S1, the scaffolding image is analyzed and processed to preliminarily identify the loose scaffolding connections in the corresponding sections; and the location information of the loose scaffolding connections in the corresponding sections is uploaded to the IoT platform terminal, specifically including:

[0056] Based on the altitude range corresponding to the panoramic images of all scaffold sections, the panoramic images of all scaffold sections are stitched together sequentially to obtain the panoramic image of the scaffold.

[0057] After performing pixel grayscale processing and pixel edge sharpening processing on the panoramic image of the scaffolding, the screw engagement depth value corresponding to the scaffolding connection joint is extracted from the panoramic image of the scaffolding.

[0058] If the screw engagement depth is less than or equal to the preset depth threshold, the corresponding scaffolding connection joint is determined to be a loose scaffolding connection; otherwise, the corresponding scaffolding connection joint is determined not to be a loose scaffolding connection.

[0059] Then, the location information of all loose scaffold connections on the scaffold is uploaded to the IoT platform terminal.

[0060] The beneficial effects of the above technical solution are as follows: After the IoT platform terminal receives panoramic images of all scaffold sections, it stitches together all altitude ranges sequentially according to the altitude range corresponding to each panoramic image of the scaffold section. The scaffold connection joints correspond to the locations where steel pipes are screwed to two-way / three-way fittings. At this point, pixel recognition processing is performed on the panoramic scaffold images to determine the screw engagement depth at the scaffold connection joint. The greater the screw engagement depth, the more secure the screw installation at the scaffold connection joint, indicating a more stable connection between the steel pipe and the two-way / three-way fitting. Using the screw engagement depth as a benchmark, it is possible to accurately determine whether the corresponding scaffold connection joint is a loose scaffold connection.

[0061] Preferably, in step S2, vibration detection is performed on different parts of the scaffolding to obtain the actual vibration information corresponding to each part; the actual vibration information is analyzed and processed to determine the abnormal vibration areas of the scaffolding; and the location information of the abnormal vibration areas in the corresponding parts is uploaded to the IoT platform terminal, specifically including:

[0062] The distributed acceleration sensing devices installed on the scaffolding are instructed to collect periodic vibration data of different scaffolding connection joints, and obtain vibration amplitude and frequency data of each scaffolding connection joint, which are used as the vibration real-time information.

[0063] Based on the vibration amplitude data and the vibration frequency data, the average vibration amplitude value and the average vibration frequency value of the scaffold connection joint are obtained. If the average vibration amplitude value is greater than or equal to the preset vibration amplitude threshold, or the average vibration frequency value is greater than or equal to the preset vibration frequency threshold, then the area of ​​the corresponding scaffold connection joint on the scaffold is determined to be an abnormal vibration area. Then, the location information of all abnormal vibration areas on the scaffold is uploaded to the Internet of Things platform terminal.

[0064] The beneficial effects of the above technical solution are as follows: In practical work, acceleration sensors can be installed at different scaffolding connection joints to form a distributed acceleration sensing device. Based on the vibration amplitude and vibration frequency data of the scaffolding connection joints collected by each acceleration sensor, it can be determined whether the area of ​​the scaffolding where the scaffolding connection joint is located is an abnormal vibration area, thereby realizing the mechanical monitoring of the scaffolding.

[0065] Preferably, in step S2, determining whether the location of the loose scaffold connection overlaps with the abnormal vibration area via the IoT platform terminal specifically includes:

[0066] The location information of each loose scaffold connection on the scaffold is compared with the location information of all abnormal vibration areas on the scaffold by the IoT platform terminal. If the location information of one loose scaffold connection overlaps with the location information of one abnormal vibration area, it is determined that the loose scaffold connection and the abnormal vibration area are in the same location.

[0067] The beneficial effects of the above technical solution are as follows: by comparing the position information of each loose scaffold connection on the scaffold with the position information of all abnormal vibration areas on the scaffold, it can be determined that the loose scaffold connection and the abnormal vibration area have overlapping positions, thereby ensuring the accurate screening of loose scaffold connections.

[0068] Preferably, in step S3, if there is a location overlap, the atmospheric flow data near the corresponding abnormal vibration area is used to determine whether a scaffolding component detachment event will occur in the corresponding abnormal vibration area; if it will occur, the location information corresponding to the scaffolding component detachment event is uploaded to the IoT platform terminal, specifically including:

[0069] If there is a location overlap, the distributed wind speed / direction sensing device installed on the scaffolding is instructed to collect wind speed and wind direction data in the space near the corresponding abnormal vibration area; the wind speed and wind direction data are analyzed and processed to determine whether wind field eddies occur in the corresponding abnormal vibration area;

[0070] If wind field eddies are present, it is determined that a scaffolding component detachment event will occur in the corresponding abnormal vibration area; if wind field eddies are not present, it is determined that a scaffolding component detachment event will not occur in the corresponding abnormal vibration area.

[0071] If a scaffolding component falls off, the location information corresponding to all scaffolding component falls off will be uploaded to the IoT platform terminal.

[0072] The beneficial effects of the above technical solution are as follows: In practical work, wind speed / direction sensors can be installed at different locations on the scaffolding to form a distributed wind speed / direction sensing device. Each sensor collects wind speed and direction data for the space near its corresponding location. Using this data as a reference, a wind field distribution is generated for the corresponding space, thereby determining whether wind vortices have appeared in areas of abnormal vibration. Under the influence of these wind vortices, significant external forces are exerted on the corresponding areas of abnormal vibration, easily leading to scaffolding component detachment events (such as the detachment of steel pipes or T-junction / T-junction connections).

[0073] Preferably, in step S4, determining whether a scaffold collapse will occur based on the location distribution information of all scaffold component detachment events through the IoT platform terminal specifically includes:

[0074] The IoT platform terminal determines the average distance between the locations of all scaffolding component detachment events based on the distribution information of the locations of all scaffolding component detachment events. If the average distance is less than or equal to a preset distance threshold, it is determined that a scaffolding collapse event will occur; otherwise, it is determined that a scaffolding collapse event will not occur.

[0075] The beneficial effects of the above technical solution are as follows: when the locations of all scaffolding component detachment events are densely distributed (i.e., the average distance between the locations of all scaffolding component detachment events is less than or equal to a preset distance threshold), this will cause structural instability in the corresponding local area of ​​the scaffolding, making the scaffolding more prone to collapse, thereby enabling accurate prediction of scaffolding collapse events.

[0076] Preferably, in step S4, sending a targeted notification message about the judgment result of the collapse event through the IoT platform terminal specifically includes:

[0077] When the IoT platform terminal determines that a collapse event will occur, it will broadcast the predicted location information of the collapse event area to the corresponding target terminal in the form of a broadcast message.

[0078] The beneficial effects of the above technical solution are as follows: by using the above method, the predicted location information of the collapse event area is sent to the corresponding target terminal in the form of a broadcast message, ensuring that staff can accurately locate the location of the collapse event in a timely manner, and effectively preventing the occurrence of safety incidents.

[0079] Preferably, in step S4, when the IoT platform terminal determines that a collapse event will occur, it sends the predicted location information of the collapse event's occurrence area to the corresponding target terminal in the form of a broadcast message. This specifically includes:

[0080] Step S401: Control the information transmitting antenna of the IoT platform terminal to the vertical direction, and then send the predicted location information of the collapse event in the form of a broadcast message. Then, using the following formula (1), based on the information return status and information return order of each target terminal, select the target terminal with the fastest information return, and select the target terminal closest to the IoT platform terminal based on the distance value extracted from the information return status. Each target terminal will be numbered according to the access order of the target terminals, denoted as a, i.e., the a-th target terminal.

[0081]

[0082] In the above formula (1), A represents the target terminal that returns the information the fastest, which is the Ath target terminal; B represents the target terminal that is closest, which is the Bth target terminal; t0 represents the initial time when the IoT platform terminal sends the information to the targeted notification; t(a) represents the time when the IoT platform terminal receives the status information returned by the ath target terminal; G(b) represents the GPS positioning data of the bth target terminal extracted from the status information returned by the bth target terminal; G0 represents the GPS positioning data of the IoT platform; S[,] represents calculating the distance between the two GPS positioning data in parentheses; n represents the total number of target terminals; This indicates the value of a that is obtained when the values ​​of a from 1 to n are substituted into the parentheses to get the minimum value of the values ​​inside the parentheses; This means that the value of b is obtained by substituting the values ​​of b from 1 to n into the parentheses to get the minimum value within the parentheses;

[0083] Step S402: Using the formula (2) below, based on the position status in the information return states of the fastest and closest target terminals, obtain the vertex angle value of the IoT platform's position in the triangle formed by the two target terminals and the IoT platform.

[0084]

[0085] In the above formula (2), θ represents the vertex angle of the IoT platform in the triangle formed by the two target terminals and the IoT platform; G(A) represents the GPS positioning data of the Ath target terminal extracted from the status information returned by the Ath target terminal; G(B) represents the GPS positioning data of the Bth target terminal extracted from the status information returned by the Bth target terminal.

[0086] Step S403: Using the formula (3) below, control the deflection direction of the information transmission antenna of the IoT platform terminal according to the apex angle value at the location of the IoT platform.

[0087]

[0088] In the above formula (3), This indicates the deflection direction control angle value of the information transmission antenna of the IoT platform terminal;

[0089] First, control the tip of the information transmitting antenna of the IoT platform terminal to point towards the GPS positioning direction of the A-th target terminal, and then rotate it in the direction of the GPS positioning direction of the B-th target terminal with the smallest possible angle. Adjust the angle, then remain still.

[0090] The beneficial effects of the above technical solution are as follows: Using the above formula (1), the target terminal with the fastest information return is selected according to the information return status and information return order of each target terminal, and the target terminal with the closest distance is selected according to the distance value of the IoT platform terminal extracted from the information return status. Thus, the information transmission antenna of the IoT platform terminal is controlled according to the positions of the two target terminals with the fastest information transmission and the closest distance to ensure further enhancement of data transmission and increase in reliability. Then, using the above formula (2), the vertex angle value of the IoT platform position in the triangle formed by the two target terminals and the IoT platform is obtained according to the position status in the information return status of the target terminal with the fastest information return and the closest target terminal. This provides a theoretical basis for the control of the positioning and rotation of the information transmission antenna of the IoT platform terminal in the subsequent control. Finally, using the above formula (3), the deflection direction of the information transmission antenna of the IoT platform terminal is controlled according to the vertex angle value of the IoT platform position to ensure the reliability of subsequent information interaction.

[0091] As can be seen from the above embodiments, this scaffolding posture monitoring method based on IoT communication identifies loose scaffolding connections in different parts of the scaffolding based on images of different parts of the scaffolding; determines abnormal vibration areas of the scaffolding based on vibration data obtained from vibration detection of different parts of the scaffolding; determines whether the loose scaffolding connections and abnormal vibration areas overlap through the IoT platform terminal; and, if they overlap, determines whether scaffolding components will malfunction in the corresponding abnormal vibration area based on atmospheric flow data in the vicinity of the abnormal vibration area. Detachment events; Based on the distribution information of all scaffold component detachment events, it is determined whether a scaffold collapse event will occur. Then, the IoT platform terminal sends targeted notification messages on the judgment results of the collapse event. It collects scaffold images, real-time scaffold vibration data, and atmospheric flow data of the scaffold environment, and filters out the locations of all scaffold component detachment events. This provides a sufficient data foundation for judging whether a scaffold collapse event will occur, improves the advance and accuracy of scaffold monitoring, and ensures comprehensive investigation and early warning before a scaffold collapse occurs.

[0092] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for monitoring scaffold posture based on Internet of Things (IoT) communication, characterized in that, It includes the following steps: Step S1: Take pictures of different parts of the scaffolding to obtain scaffolding images corresponding to each part; analyze and process the scaffolding images to preliminarily identify the loose scaffolding connections in the corresponding parts; and upload the location information of the loose scaffolding connections in the corresponding parts to the Internet of Things platform terminal. Step S2: Vibration detection is performed on different parts of the scaffolding to obtain the vibration information corresponding to each part; the vibration information is analyzed and processed to determine the abnormal vibration areas of the scaffolding; the location information of the abnormal vibration areas in the corresponding parts is uploaded to the IoT platform terminal; then the IoT platform terminal is used to determine whether the location of the loose scaffolding connection overlaps with the abnormal vibration area. Step S3: If there is a location overlap, determine whether a scaffolding component detachment event will occur in the corresponding abnormal vibration area based on the atmospheric flow data of the space near the corresponding abnormal vibration area; if it will occur, upload the location information corresponding to the scaffolding component detachment event to the IoT platform terminal. Step S4: Based on the location distribution information of all scaffolding component detachment events, the IoT platform terminal determines whether a scaffolding collapse event will occur; and sends a targeted notification message on the determination result of the collapse event through the IoT platform terminal. In step S4, determining whether a scaffold collapse will occur based on the location distribution information of all scaffold component detachment events via the IoT platform terminal specifically includes: The IoT platform terminal determines the average distance between the locations of all scaffolding component detachment events based on the distribution information of the locations of all scaffolding component detachment events. If the average distance is less than or equal to a preset distance threshold, it is determined that a scaffolding collapse event will occur; otherwise, it is determined that a scaffolding collapse event will not occur.

2. The scaffolding posture monitoring method based on Internet of Things communication as described in claim 1, characterized in that: In step S1, taking pictures of different parts of the scaffold to obtain scaffold images corresponding to each part specifically includes: The drone is instructed to hover around different altitude ranges in the circumferential outer area of ​​the scaffolding; during the hovering flight, the drone's built-in wide-angle camera performs a panoramic scan of the corresponding altitude range, obtaining a panoramic image of the scaffolding section at the corresponding altitude range; and then uploads the panoramic images of the scaffolding section at all altitude ranges to the IoT platform terminal.

3. The scaffolding posture monitoring method based on Internet of Things communication as described in claim 2, characterized in that: In step S1, the scaffolding image is analyzed and processed to initially identify loose scaffolding connections in the corresponding sections; and the location information of the loose scaffolding connections in the corresponding sections is uploaded to the IoT platform terminal, specifically including: Based on the altitude range corresponding to the panoramic images of all scaffold sections, the panoramic images of all scaffold sections are stitched together sequentially to obtain the panoramic image of the scaffold. After performing pixel grayscale processing and pixel edge sharpening processing on the panoramic image of the scaffolding, the screw engagement depth value corresponding to the scaffolding connection joint is extracted from the panoramic image of the scaffolding. If the screw engagement depth is less than or equal to a preset depth threshold, the corresponding scaffolding connection joint is determined to be a loose scaffolding connection; otherwise, the corresponding scaffolding connection joint is determined not to be a loose scaffolding connection. Then, the location information of all loose scaffold connections on the scaffold is uploaded to the IoT platform terminal.

4. The scaffolding posture monitoring method based on Internet of Things communication as described in claim 3, characterized in that: In step S2, vibration detection is performed on different parts of the scaffolding to obtain the vibration information corresponding to each part; the vibration information is analyzed and processed to determine the abnormal vibration areas of the scaffolding. Uploading the location information of the abnormal vibration area to the IoT platform terminal specifically includes: The distributed acceleration sensing devices installed on the scaffolding are instructed to collect periodic vibration data of different scaffolding connection joints, and obtain vibration amplitude and frequency data of each scaffolding connection joint, which are used as the vibration real-time information. Based on the vibration amplitude data and the vibration frequency data, the average vibration amplitude value and the average vibration frequency value of the scaffold connection joint are obtained. If the average vibration amplitude value is greater than or equal to a preset vibration amplitude threshold, or the average vibration frequency value is greater than or equal to a preset vibration frequency threshold, then the area of ​​the corresponding scaffold connection joint on the scaffold is determined to be an abnormal vibration area. Then, the location information of all abnormal vibration areas on the scaffold is uploaded to the Internet of Things platform terminal.

5. The scaffolding posture monitoring method based on Internet of Things communication as described in claim 4, characterized in that: In step S2, determining whether the location of the loose scaffold connection overlaps with the abnormal vibration area via the IoT platform terminal specifically includes: The location information of each loose scaffold connection on the scaffold is compared with the location information of all abnormal vibration areas on the scaffold by the IoT platform terminal. If the location information of one loose scaffold connection overlaps with the location information of one abnormal vibration area, it is determined that the loose scaffold connection and the abnormal vibration area are in the same position.

6. The scaffolding posture monitoring method based on Internet of Things communication as described in claim 5, characterized in that: In step S3, if there is a location overlap, the atmospheric flow data near the corresponding abnormal vibration area is used to determine whether a scaffold component detachment event will occur in the corresponding abnormal vibration area; if it will occur, the location information corresponding to the scaffold component detachment event is uploaded to the IoT platform terminal, specifically including: If there is a location overlap, the distributed wind speed / direction sensing device installed on the scaffolding is instructed to collect wind speed and wind direction data in the vicinity of the corresponding abnormal vibration area; the wind speed and wind direction data are analyzed and processed to determine whether wind field eddies occur in the corresponding abnormal vibration area; If wind field eddies are present, it is determined that a scaffolding component detachment event will occur in the corresponding abnormal vibration area; if wind field eddies are not present, it is determined that a scaffolding component detachment event will not occur in the corresponding abnormal vibration area. If a scaffolding component falls off, the location information corresponding to all scaffolding component falls off will be uploaded to the IoT platform terminal.

7. The scaffolding posture monitoring method based on Internet of Things communication as described in claim 1, characterized in that: In step S4, sending a targeted notification message about the judgment result of the collapse event through the IoT platform terminal specifically includes: When the IoT platform terminal determines that a collapse event will occur, it will broadcast the predicted location information of the collapse event's location to the corresponding target terminal in the form of a broadcast message.

8. The scaffolding posture monitoring method based on Internet of Things communication as described in claim 7, characterized in that: In step S4, when the IoT platform terminal determines that a collapse event will occur, it specifically sends the predicted location information of the collapse event's occurrence area to the corresponding target terminal in the form of a broadcast message. Step S401: Control the information transmitting antenna of the IoT platform terminal to be in the vertical direction, and then send the predicted location information of the collapse event in the form of a broadcast message. Then, using the following formula (1), based on the information return status and information return order of each target terminal, filter out the target terminal with the fastest information return, and filter out the target terminal closest to the IoT platform terminal based on the distance value extracted from the information return status. Each target terminal will be numbered according to the access order of the target terminals. That is, the first Target terminals （1） In the above formula (1), The target terminal that returns the information the fastest is the [number]th [terminal]. One target terminal; The nearest target terminal is indicated as the first... One target terminal; This indicates the initial time at which the IoT platform terminal sends a targeted notification. This indicates that the IoT platform terminal received the first... The moment when the target terminal returns status information; Indicates from the first Extracting the first from the status information returned by the target terminal GPS location data of each target terminal; This represents the GPS positioning data of the IoT platform; This indicates that the distance between the two GPS positioning data points within the parentheses is calculated. This represents the total number of the target terminals; Indicates will The value ranges from 1 to Substituting into the parentheses yields the minimum value within the parentheses. value; Indicates will The value ranges from 1 to Substituting into the parentheses yields the minimum value within the parentheses. value; Step S402: Using the formula (2) below, based on the position status in the information return states of the fastest and closest target terminals, obtain the vertex angle value of the IoT platform position in the triangle formed by the two target terminals and the IoT platform. （2） In the above formula (2), This represents the vertex angle value of the IoT platform position within the triangle formed by the two target terminals and the IoT platform; Indicates from the first Extracting the first from the status information returned by the target terminal GPS location data of each target terminal; Indicates from the first Extracting the first from the status information returned by the target terminal GPS location data of each target terminal; Step S403: Using the following formula (3), based on the apex angle value at the location of the IoT platform, control the deflection direction of the information transmission antenna of the IoT platform terminal. （3） In the above formula (3), This indicates the deflection direction control angle value of the information transmission antenna of the IoT platform terminal; First, control the tip of the information transmitting antenna of the IoT platform terminal to point towards the first... The GPS positioning direction of the target terminal is determined, and then the target terminal is rotated to the position with the smallest angle. Rotate the direction of the GPS positioning of the target terminal. Adjust the angle, then remain still.

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