Linkage analysis command system for on-site hoisting of large-scale structural member

Abstract

The invention provides a large-scale structural member on-site hoisting linkage analysis command system, which comprises AR glasses, a distributed sensor unit, a stress analysis platform, a plurality of cameras and a central processing unit, and is characterized in that the AR glasses, the distributed sensor unit, the stress analysis platform, the plurality of cameras and the central processing unit communicate with one another and realize data interaction. According to the system, AR glasses, a distributed sensor, a stress analysis platform, a multi-view camera and a central processing unit are fused, and an intelligent cooperative control framework is constructed. According to the system, parameters such as component postures, sling stress and environmental interference can be continuously obtained in the whole hoisting process, multi-source heterogeneous data are fused through the central processing unit, potential risks are dynamically predicted, adjustment suggestions are output, and an operator can visually master the operation state on an AR interface.

Description

TECHNICAL FIELD

[0001] The present application relates to a command system, in particular to a large structural member on-site hoisting linkage analysis command system, belonging to the technical field of intelligent construction. BACKGROUND

[0002] The hoisting operation of large structural members is widely used in the fields of bridge construction, high-rise building, industrial equipment installation and shipbuilding, etc. The process usually involves characteristics such as large component weight, high operation space, complex construction environment, etc., so high safety and coordination requirements are put forward for hoisting equipment, operating personnel and command system. In the prior art, large component hoisting often relies on multiple hoisting equipment for collaborative operation, but due to the differences in dynamic response characteristics and control systems of each hoisting equipment, it is easy to cause problems such as hoisting point asynchronization and trajectory deviation. In addition, due to the constraints of hoisting site space and environmental interference factors (such as wind, obstacles, terrain slope, etc.), the attitude change of the component in the hoisting process is difficult to be monitored and dynamically corrected in real time, thereby affecting the overall assembly accuracy and construction safety.

[0003] In the current hoisting organization process, the command system mainly relies on manual observation and experience judgment, lacks digital perception and intelligent control of the whole hoisting process, and leads to problems such as slow on-site response speed, high safety risk, and lagging path adjustment. At the same time, the component itself may have size deviation or node error in the links of processing and manufacturing, welding connection, etc., which further amplifies the error accumulation and construction deviation in the hoisting process. In addition, the stress analysis mainly relies on simulation calculation before construction, which cannot real-time feedback the stress state and component attitude change on site, and also lacks the ability to dynamically adjust the hoisting point and optimize the hoisting path. SUMMARY

[0004] Based on the above background, the purpose of the present application is to provide a large structural member on-site hoisting linkage analysis command system based on multi-source perception and intelligent collaborative control, which solves the problems in the background art.

[0005] In order to achieve the above-mentioned purpose of the application, the present application provides the following technical solutions:

[0006] A large structural member on-site hoisting linkage analysis command system, comprising AR glasses, a distributed sensor unit, a stress analysis platform, a plurality of cameras and a central processing unit, the AR glasses, the distributed sensor unit, the stress analysis platform, the plurality of cameras and the central processing unit are in communication with each other and realize data interaction, wherein:

[0007] AR glasses for real-time analysis of the three-dimensional spatial pose and structural stress state of the sling, visualization of complex data, and guidance of hoisting construction, comprising a glasses body and an optical display, a protection module, a temple, a tightness adjusting piece, an environment perception module, a hoisting parameter receiving module, a data communication acquisition module, a data processing module, an intelligent early warning module, a power and endurance module, a spatial marking module, and a distance measuring module connected with the glasses body, wherein the power and endurance module is electrically connected with the optical display, the environment perception module, the hoisting parameter receiving module, the data communication acquisition module, the data processing module, the intelligent early warning module, the power and endurance module, the spatial marking module, and the distance measuring module;

[0008] A distributed sensor unit for real-time monitoring of the force state of the rope during hoisting, comprising a left half fixator, a right half fixator, a plurality of left strain gauges, a plurality of right strain gauges, a signal processing module, a data transmission module, and a power module, wherein the left half fixator and the right half fixator are detachably arranged, the left strain gauges and the right strain gauges are respectively installed on the left half fixator and the right half fixator, the right half fixator is connected with the signal processing module, the data transmission module, and the power module, and the power module is electrically connected with the left strain gauges, the right strain gauges, the signal processing module, and the data transmission module;

[0009] A force analysis platform for receiving data collected by the distributed sensor unit, constructing a hoisting dynamics model considering geometric nonlinearity and material plastic deformation based on a finite element-meshless coupling algorithm, and generating an optimal hoisting point arrangement scheme through a topology optimization algorithm, and outputting hoisting stress prediction results and component attitude adjustment suggestions;

[0010] A plurality of cameras arranged in key areas of the hoisting site for collecting hoisting environment image information, wherein the camera comprises a camera body and a power supply, a communication module, an image shooting module, an image processing module, and an infrared night vision module connected with the camera body, the power supply is electrically connected with the communication module, the image shooting module, the image processing module, and the infrared night vision module, and the image processing module is in communication connection with the environment perception module of the AR glasses;

[0011] A central processing unit for fusing multi-source data of the AR glasses, the distributed sensor unit, and the plurality of cameras, completing hoisting path planning, three-dimensional attitude recognition, and safety warning judgment, and transmitting the processing results to the AR glasses for visual presentation.

[0012] The optical display is used to display the hoisting path and hoisting point layout generated by the central processing unit according to the output results of the force analysis platform, and superimposes it in the form of augmented reality to the wearer's field of view; the protection module is connected with the glasses body through the temple, which can cover the optical display to provide protection in the non-working state; the tightness adjusting piece is arranged at the rear of the glasses body, which is used to adjust the wearing tightness to ensure the stability; the environment perception module is in communication connection with the camera, which is used to obtain the terrain information, obstacle distribution and wind data of the hoisting site, and transmit the results to the data processing module to assist the central processing unit to complete the three-dimensional path construction and risk analysis; the hoisting parameter receiving module is used to receive the structure parameters and weight information of the hoisted component, and cooperate with the force analysis platform to calculate the hoisting point position, and the obtained results are marked in space by the space marking module, combined with the depth information provided by the distance measuring module, to realize the accurate positioning of the target hoisting point in the wearer's field of view; the intelligent early warning module receives the stress abnormality or attitude deviation judgment result made by the central processing unit based on the feedback data of the distributed sensor unit, and triggers the sound and light alarm to prompt the operator to adjust when the warning condition is reached; the data communication acquisition module is used to uniformly collect and upload the data of the environment perception module, the hoisting parameter receiving module, the distributed sensor unit and the camera to the central processing unit, and receives and feeds back the processing results to the data processing module to assist local calculation; the power supply is electrically connected with the optical display, the environment perception module, the hoisting parameter receiving module, the data communication acquisition module, the data processing module, the intelligent early warning module, the power supply and the endurance module, the space marking module and the distance measuring module, which is used to provide continuous and stable power to ensure the stable operation of the AR glasses.

[0013] The left and right half fixers are used to stably install the distributed sensor unit on the surface of the steel wire rope or structural member of the hoisting equipment, and provide a physical support base for the left and right strain gauges; the left and right strain gauges are used to perceive the force state of the rope in the hoisting process in real time and generate strain signals, the signals are received by the signal processing module for preliminary filtering, amplification and coding processing, and then transmitted to the central processing unit through the data transmission module to realize the monitoring of the force distribution of the rope and the force change of the member; after receiving the strain data, the central processing unit fuses the hoisting dynamics model constructed by the force analysis platform to determine whether there is local overload, structure deviation or stress concentration, and sends an audible and visual alarm to the operator through the intelligent warning module of the AR glasses for timely intervention; at the same time, the force state calculated by the central processing unit can also be transmitted to the optical display of the AR glasses through the data communication acquisition module for visual presentation, so that the operator can intuitively obtain the rope stress distribution information during the operation, and realize information closed loop; the power module provides continuous power support for the left strain gauge, the right strain gauges, the signal processing module and the data transmission module, to ensure their continuous work and high-frequency data update during the entire hoisting period.

[0014] The force analysis platform is used for mechanical modeling and dynamic analysis of the strain data collected by the distributed sensor unit and transmitted by the central processing unit, by constructing a hoisting dynamics model that fuses geometric nonlinearity and material plastic deformation characteristics, the force response of the large-span structural member under different hoisting point arrangements in the hoisting process is accurately simulated, the force analysis platform uses a finite element-meshless coupling algorithm to continuously solve the force area, and combines a topological optimization algorithm to calculate the optimal hoisting point arrangement scheme that meets the structural stability and load balance conditions, the obtained arrangement scheme and structural stress prediction results are transmitted to the central processing unit in real time, the central processing unit further fuses the spatial information provided by the environment perception module and the image processing module, and outputs a structural attitude suggestion that can be used for hoisting path planning and attitude adjustment judgment, the attitude suggestion is transmitted to the AR glasses through the data communication acquisition module, and is visually presented to the operator by the optical display, at the same time, the intelligent warning module obtains abnormal state information in advance when the platform analysis result shows that the member locally exists stress concentration or instability risk, and provides a pre-judgment trigger condition before the central processing unit makes a final determination, to improve the response speed and processing safety margin of the system to potential hoisting accidents.

[0015] The power supply is used for providing continuous power for the communication module, the image shooting module, the image processing module and the infrared night vision module, guaranteeing stable operation of them in day and night operation environment, the image shooting module is arranged at the front end of the camera, is used for collecting operation environment image information of the hoisting site, including visual content such as hoisting components, personnel position and obstacle distribution, the infrared night vision module cooperates with the image shooting module to carry out infrared image collection in low-illumination or night environment, improves imaging definition and environmental recognizability, the image processing module is used for denoising, enhancing and structure edge extraction on image data collected by the image shooting module and the infrared night vision module, and processed digital image information is sent to the central processing unit and the environment perception module in the AR glasses through the communication module, the central processing unit completes three-dimensional reconstruction and path calculation of the hoisting operation scene based on image data transmitted by the image processing module and stress information fed back by the distributed sensor unit, the environment perception module further analyzes the relative position of the target component in space and the direction of the lifting point in combination with the image information transmitted by the camera, and presents a visual guidance interface through the optical display of the AR glasses, so that auxiliary judgment and dynamic adjustment of the hoisting path, risk area and attitude deviation are realized, and the camera as a whole keeps communication connection with the data communication acquisition module through the communication module, ensuring efficient transmission and synchronous processing of image data and structure recognition information.

[0016] After receiving strain data from the distributed sensor unit, stress model output of the stress analysis platform, image processing data of the camera and hoisting parameters transmitted by the data communication acquisition module of the AR glasses, the central processing unit constructs a three-dimensional hoisting operation model based on a multi-source data fusion algorithm, performs real-time path planning, attitude recognition, lifting point matching and dynamic risk judgment, and generates corresponding adjustment instructions when identifying that there may be structure deviation, stress anomaly and wind load interference, the adjustment instructions are fed back to the optical display of the AR glasses for visual presentation through the data communication acquisition module, and abnormal information is synchronously transmitted to the intelligent early warning module of the AR glasses to trigger sound and light alarm; the central processing unit also establishes a real-time data channel with the stress analysis platform, which is used for dynamically updating stress boundary conditions and correcting lifting point position judgment according to the spatial coordinates identified by the image processing module, so that the finally output hoisting path reaches an optimized balance between stress safety and spatial implementability.

[0017] As a preferred, the camera body bottom is provided with a connecting seat, and a plurality of fixing holes are arranged on the connecting seat.

[0018] As a preferred, the glasses body is provided with two mirror holes, and the two mirror holes are connected with the glasses body; the protection module includes two protection blocks, the head includes a plurality of slides and a plurality of hinges, the two protection blocks are respectively located on the two sides of the glasses body, a plurality of slides and hinges are arranged between the glasses body and the protection blocks, and the glasses body and the protection blocks are movably connected through the slides and the hinges.

[0019] As preferred, the tightness adjusting member comprises a transverse adjusting band, a longitudinal adjusting band, a transverse tightness adjuster and a longitudinal tightness adjuster, the transverse adjusting band is connected with the two ends of the glasses body in the transverse direction, the transverse adjusting band is provided with the transverse tightness adjuster, one end of the longitudinal adjusting band is connected with the middle part of the transverse adjusting band, the other end of the longitudinal adjusting band is connected with the top of the glasses body, and the longitudinal adjusting band is provided with the longitudinal tightness adjuster.

[0020] As preferred, the environment sensing module comprises a terrain and structure identifier, a wind inductor, a distance identifier and a locator, the distance measuring module comprises an environment camera and a distance measurer, and the terrain and structure identifier, the wind inductor, the distance identifier, the locator, the environment camera and the distance measurer are all installed on the upper part of the glasses body.

[0021] As preferred, the hoisting parameter receiving module is located above the inner layer of the glasses body, and a data import end of the hoisting parameter receiving module is in communication with the outside of the glasses body.

[0022] As preferred, the intelligent early warning module comprises a sound warning device and a light warning device, the sound warning device and the light warning device are located on the outer layer of the glasses body, and the sound warning device and the light warning device are connected with the glasses body.

[0023] Compared with the prior art, the present application has the following advantages:

[0024] The present application discloses a large-scale structure on-site hoisting linkage analysis and command system, which comprises an AR glasses, a distributed sensor unit, a stress analysis platform, a plurality of perspective cameras and a central processing unit, and constructs an intelligent collaborative control framework for complex hoisting conditions. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the accompanying drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0026] Figure 1 is a structural schematic diagram of the present application;

[0027] Figure 2 is a position schematic diagram of the tension adjusting member of the present application on the eyeglass body;

[0028] Figure 3 is a structural schematic diagram of the eyeglass body of the present application;

[0029] Figure 4 is a structural schematic diagram of the distributed sensor unit of the present application;

[0030] Figure 5 is a position schematic diagram of the left strain gauge on the left half holder of the present application;

[0031] Figure 6 is a position schematic diagram of the right strain gauge on the right half holder of the present application;

[0032] Figure 7 is a structural schematic diagram of the temple of the present application;

[0033] Figure 8 is a structural schematic diagram of the temple camera of the present application.

[0034] In the figure: 1, AR glasses; 101, glasses body; 102, optical display; 103, protection module; 103-1, protection block; 104, temple; 104-1, slide; 104-2, hinge; 105, tightness adjusting piece; 105-1, transverse adjusting band; 105-2, longitudinal adjusting band; 105-3, transverse tightness adjuster; 105-4, longitudinal tightness adjuster; 106, environment perception module; 106-1, terrain and structure identifier; 106-2, wind inductor; 106-3, distance identifier; 106-4, positioner; 107, hoisting parameter receiving module; 108, data communication acquisition module; 109, data processing module; 1010, intelligent early warning module; 1010-1, sound warning device; 1010-2, light warning device; 1011, power and endurance module; 1012, space marking module; 1013, distance measuring module; 1013-1, environment camera; 1013-2, distance measurer; 2, distributed sensor unit; 201, left half fixator; 202, right half fixator; 203, left strain measurer; 204, right strain measurer; 205, signal processing module; 206, data transmission module; 207, power module; 3, stress analysis platform; 4, camera; 401, camera body; 402, power supply; 403, communication module; 404, image shooting module; 405, image processing module; 406, infrared night vision module; 5, central processing unit; 6, connecting seat; 7, fixing hole; 8, mirror hole; 9, data import end. DETAILED DESCRIPTION

[0035] The technical solutions of the present application will be further described in detail below with specific examples and in conjunction with the drawings. It should be understood that the implementation of the present application is not limited to the following examples, and any form of variation and / or change made to the present application will fall within the scope of protection of the present application.

[0036] In the present application, all parts and percentages are weight units unless otherwise specified, and the equipment and raw materials used can be purchased from the market or are commonly used in the art. The methods in the following examples are conventional methods in the art unless otherwise specified. The components or equipment in the following examples are general standard components or components known to those skilled in the art unless otherwise specified, and their structure and principles are known to those skilled in the art through technical manuals or through conventional experimental methods.

[0037] The embodiments of the present application will be described in detail below in conjunction with the drawings. In the following detailed description, many specific details are set forth in order to provide a thorough understanding of the embodiments of the present application. However, one or more embodiments can be practiced without these specific details.

[0038] AsFigure 1 As shown, a large structural component on-site hoisting linkage analysis and command system includes AR glasses 1, distributed sensor unit 2, force analysis platform 3, several cameras 4, and central processing unit 5. The AR glasses 1, distributed sensor unit 2, force analysis platform 3, several cameras 4, and central processing unit 5 achieve data interaction through communication.

[0039] like Figures 2-4 As shown, the AR glasses 1, as the core visual interactive device, includes a glasses body 101 and connected to it an optical display 102, a protective module 103, a headband 104, a tension adjustment component 105, an environmental perception module 106, a hoisting parameter receiving module 107, a data communication acquisition module 108, a data processing module 109, an intelligent early warning module 1010, a power supply and battery life module 1011, a spatial marking module 1012, and a distance measuring device 1013-2. The optical display 102 is used to overlay and display the hoisting path, hoisting point position, and component posture adjustment suggestions. The protective module 103 is structurally movable with the glasses body 101 via a hinge 104-2 and a slide rail 104-1, allowing it to shield the optical display 102 for physical protection when not in operation. The tension adjustment component 105 includes horizontal and vertical adjustment straps 105-2 and corresponding adjusters, installed at the rear of the glasses body 101, used to adjust the tightness of the fit to ensure operational stability. An environmental perception module 106 is installed on the upper part of the glasses body 101, including a terrain and structure identifier 106-1, a wind sensor 106-2, a distance identifier 106-3, and a locator 106-4. Combined with image data collected by several cameras 4, it is transmitted to the central processing unit 5 via a data communication acquisition module 108 to achieve functions such as hoisting environment perception, spatial positioning, and obstacle recognition. A hoisting parameter receiving module 107 is used to import the geometric dimensions, weight, and structural parameters of the target component for joint modeling and analysis by the data processing module 109 and the force analysis platform 3. A spatial annotation module 1012 and a distance measuring device 1013-2 work together to mark target hoisting points and calculate their relative depth information, assisting in component posture guidance. An intelligent early warning module 1010 receives abnormal judgment signals output by the central processing unit 5 and provides real-time on-site early warning through audio-visual means. All functional modules within the entire AR glasses 1 are powered by a unified power supply and battery life module 1011 to ensure stable operation during extended periods of use.

[0040] like Figure 5 -picture- Figure 7As shown, the distributed sensor unit 2 is installed at the key position of the crane rope or hoisting structure to monitor the force state of the sling in real time. The structure includes a left half fixer 201, a right half fixer 202, a plurality of left strain gauges 203, a plurality of right strain gauges 204, a signal processing module 205, a data transmission module 206 and a power module 207. The left half fixer 201 and the right half fixer 202 are detachably connected through a threaded fastening structure, and provide stable support for the left strain gauges 203 and the right strain gauges 204 respectively. The left strain gauges 203 and the right strain gauges 204 are symmetrically arranged and can accurately monitor the force change of the steel wire rope or the connecting member during hoisting. The power module 207 provides continuous power for each strain gauge, the signal processing module 205 and the data transmission module 206. The signal processing module 205 filters, amplifies and encodes the sensing signal. The data transmission module 206 sends the processed strain information to the central processing unit 5 in real time. After receiving the strain data from the distributed sensor unit 2, the force analysis platform 3 establishes a dynamic model of the large-span hoisting member under multi-point force condition based on the finite element-meshless coupling algorithm. The model considers the geometric nonlinearity and material plasticity of the member, and can accurately reflect the structural deformation, hoisting point cooperative force and attitude evolution characteristics. Through the topology optimization algorithm, the optimal hoisting point layout scheme under the current member characteristics and environmental boundary conditions is further calculated, and the stress concentration area and the member adjustment direction suggestion are output. After the analysis results are transmitted to the central processing unit 5, the hoisting space data provided by the environmental perception module 106 and the image processing module 405 are combined to output visual guidance information and adjustment instructions to the display end of the AR glasses 1, and when there is a potential stress overrun risk, the intelligent warning module 1010 is activated to trigger a prompt.

[0041] As Figure 8As shown, several cameras 4 are arranged at key positions of the crane jib, the end of the component, the obstacle area and the like at the hoisting site, each camera 4 comprising a camera body 401 and a power supply 402, a communication module 403, an image capturing module 404, an image processing module 405 and an infrared night vision module 406 connected thereto. The power supply 402 is used to ensure stable operation of each sub-module of the camera 4, the image capturing module 404 collects visual information of the hoisting component, the working environment and the position of the personnel, the infrared night vision module 406 assists in improving the imaging clarity at night or in low light conditions, and the image processing module 405 performs edge extraction, structure recognition and space modeling on the collected images. The processed data is transmitted to the central processing unit 5 through the communication module 403, and is also transmitted to the environment perception module 106 of the AR glasses 1 to enhance the scene reconstruction accuracy. After receiving the data from each sub-module, the central processing unit 5 generates a three-dimensional hoisting model based on a multi-source fusion algorithm, and completes tasks such as path planning, posture recognition and wind load disturbance prediction judgment in real time. All processing results are fed back to the AR glasses 1 through the data communication acquisition module 108 for visual presentation, realizing the visual control of the operator on the component state during hoisting operation; when the system identifies that the hoisting point is out of balance, the posture deviates or the safety risk boundary is close, the intelligent early warning module 1010 of the AR glasses 1 will give an early sound and light alarm prompt. Through the above cooperation, the whole system can realize intelligent linkage analysis and high-precision visual command of the whole process of hoisting large structural parts in a complex operation site.

[0042] The implementation principle of the large structural part hoisting linkage analysis and command system is as follows:

[0043] Through the cooperative communication among the AR glasses 1, the distributed sensor unit 2, the plurality of cameras 4, the force analysis platform 3 and the central processing unit 5, an intelligent hoisting control mechanism combining multi-source perception, real-time analysis and visual guidance is constructed. Before the operation starts, the operator wears the AR glasses 1 with the function of augmented reality display. The AR glasses 1 import the structure information and target hoisting point parameters of the hoisted component through the built-in hoisting parameter receiving module 107, and simultaneously obtain the spatial image, terrain obstacle and weather data of the working area by the environment perception module 106 in combination with the cameras 4 arranged on site, and transmit the spatial position and component information of the hoisting object to the central processing unit 5 through the data communication acquisition module 108.

[0044] During the hoisting process, the distributed sensor unit 2 installed on the steel wire rope senses the force state of the rope in real time. The strain data collected by the left strain gauge 203 and the right strain gauge 204 are encoded and filtered by the signal processing module 205, and then sent to the central processing unit 5 by the data transmission module 206. After receiving the strain data, the central processing unit 5 establishes a hoisting dynamics model based on the finite element-meshless coupling algorithm, and identifies the optimal hoisting point arrangement and attitude adjustment direction under the current working condition in combination with the topological optimization algorithm. The stress analysis result is fused with the spatial structure recognition information transmitted by the image processing module 405 to form the basis for decision-making of three-dimensional path planning and attitude recognition. The central processing unit 5 then sends the calculated hoisting guide path, hoisting point offset prediction and safety risk information to the optical display 102 of the AR glasses 1 for real-time visual display.

[0045] During this process, if the force analysis platform 3 or the image processing module 405 identifies that the member has local overload, unbalanced stress distribution of the hoisting point, or structural attitude deviation, etc., the central processing unit 5 will first send an audible and visual alarm prompt through the intelligent warning module 1010 of the AR glasses 1 to ensure that the operator adjusts the operation scheme in a timely manner. At the same time, the spatial marking module 1012 and the distance measuring device 1013-2 in the system are used in cooperation to accurately mark the target hoisting point in the wearer's field of view, realize accurate control and visual guidance of complex members, and further improve the safety and operation efficiency of hoisting operations.

[0046] In this paper, specific examples are applied to explain the principles and implementation modes of the present application. The above examples are only used to help understand the method of the present application and its core idea. It should be noted that for ordinary skilled persons in the technical field, without departing from the principles of the present application, the present application can be improved and modified in several ways, and these improvements and modifications also fall within the protection scope of the claims of the present application.

Claims

1. A large-scale structural component on-site hoisting linkage analysis and command system, characterized in that, The large structural component on-site hoisting linkage analysis and command system includes AR glasses (1), a distributed sensor unit (2), a force analysis platform (3), several cameras (4), and a central processing unit (5). The AR glasses (1), distributed sensor unit (2), force analysis platform (3), several cameras (4), and central processing unit (5) communicate with each other and realize data interaction. AR glasses (1) are used to analyze the three-dimensional spatial pose and structural stress state of slings in real time, visualize complex data, and guide hoisting operations. The glasses include the glasses body (101) and an optical display (102) connected to the glasses body (101), a protective module (103), a sling head (104), a tension adjustment component (105), an environmental perception module (106), a hoisting parameter receiving module (107), a data communication acquisition module (108), a data processing module (109), and an intelligent early warning module (1010). The system includes a power supply and endurance module (1011), a spatial marking module (1012), and a distance measurement module (1013). The power supply and endurance module (1011) is electrically connected to the optical display (102), the environmental perception module (106), the hoisting parameter receiving module (107), the data communication acquisition module (108), the data processing module (109), the intelligent early warning module (1010), the power supply and endurance module (1011), the spatial marking module (1012), and the distance measurement module (1013). A distributed sensor unit (2) is used to monitor the rope stress state during the hoisting process in real time. It includes a left half-fixed device (201), a right half-fixed device (202), several left strain gauges (203), several right strain gauges (204), a signal processing module (205), a data transmission module (206), and a power supply module (207). The left half-fixed device (201) and the right half-fixed device (202) are detachably installed. The left strain gauges (203) and the right strain gauges (204) are respectively installed on the left half-fixed device (201) and the right half-fixed device (202). The right half-fixed device (202) is connected to the signal processing module (205), the data transmission module (206), and the power supply module (207). The power supply module (207) is electrically connected to the left strain gauges (203), the right strain gauges (204), the signal processing module (205), and the data transmission module (206). The stress analysis platform (3) is used to receive the data collected by the distributed sensor unit (2), construct a hoisting dynamics model that considers geometric nonlinearity and material plastic deformation based on the finite element-meshless coupling algorithm, generate the optimal hoisting point arrangement scheme through the topology optimization algorithm, and output the hoisting stress prediction results and component attitude adjustment suggestions. Several cameras (4) are respectively deployed in key areas of the hoisting site to collect hoisting environment image information. Each camera (4) includes a camera body (401) and a power supply (402), a communication module (403), an image capturing module (404), an image processing module (405), and an infrared night vision module (406) connected to the camera body (401). The power supply (402) is electrically connected to the communication module (403), the image capturing module (404), the image processing module (405), and the infrared night vision module (406). The image processing module (405) is communicatively connected to the environmental perception module (106) of the AR glasses (1). The central processing unit (5) is used to integrate multi-source data from the AR glasses (1), the distributed sensor unit (2) and several cameras (4) to complete hoisting path planning, three-dimensional posture recognition and safety warning judgment, and transmit the processing results to the AR glasses (1) for visualization.

2. The large structural component on-site hoisting linkage analysis and command system according to claim 1, characterized in that: The bottom of the camera body (401) is provided with a connecting seat (6), and the connecting seat (6) is provided with a plurality of fixing holes (7).

3. The large structural component on-site hoisting linkage analysis and command system according to claim 1, characterized in that: The eyeglass body (101) is provided with two lens holes (8), and the two lens holes (8) are connected to the eyeglass body (101); the protective module (103) includes two protective blocks (103-1), and the frame (104) includes several slides (104-1) and several hinges (104-2). The two protective blocks (103-1) are located on both sides of the eyeglass body (101). Several slides (104-1) and hinges (104-2) are provided between the eyeglass body (101) and the protective blocks (103-1). The eyeglass body (101) and the protective blocks (103-1) are movably engaged through the slides (104-1) and hinges (104-2).

4. The large structural component on-site hoisting linkage analysis and command system according to claim 1, characterized in that: The tension adjustment component (105) includes a horizontal adjustment band (105-1), a vertical adjustment band (105-2), a horizontal tension adjuster (105-3), and a vertical tension adjuster (105-4). The horizontal adjustment band (105-1) is connected to both ends of the eyeglass body (101) in the horizontal direction. The horizontal adjustment band (105-1) is provided with the horizontal tension adjuster (105-3). One end of the vertical adjustment band (105-2) is connected to the middle of the horizontal adjustment band (105-1), and the other end of the vertical adjustment band (105-2) is connected to the top of the eyeglass body (101). The vertical adjustment band (105-2) is provided with the vertical tension adjuster (105-4).

5. The large structural component on-site hoisting linkage analysis and command system according to claim 1, characterized in that: The environmental perception module (106) includes a terrain and structure identifier (106-1), a wind sensor (106-2), a distance identifier (106-3), and a locator (106-4). The distance measurement module (1013) includes an environmental camera (1013-1) and a distance measuring device (1013-2). The terrain and structure identifier (106-1), wind sensor (106-2), distance identifier (106-3), locator (106-4), environmental camera (1013-1), and distance measuring device (1013-2) are all installed on the upper part of the glasses body (101).

6. The large structural component on-site hoisting linkage analysis and command system according to claim 1, characterized in that: The hoisting parameter receiving module (107) is located above the inner layer of the eyeglass body (101), and the data import terminal (9) of the hoisting parameter receiving module (107) is connected to the outside of the eyeglass body (101).

7. The large structural component on-site hoisting linkage analysis and command system according to claim 1, characterized in that: The intelligent warning module (1010) includes a sound warning device (1010-1) and a light warning device (1010-2). The sound warning device (1010-1) and the light warning device (1010-2) are located on the outer layer of the glasses body (101) and are connected to the glasses body (101).

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