A net rack structure spherical hinge hoisting device and control method

Abstract

A net rack structure spherical hinge hoisting device and control method belong to engineering construction hoisting equipment technical field, including the tension shell, the high elasticity rubber pad layer is arranged to the tension shell inner wall, the antiskid line, the tension shell inside and outside is provided with the sensor, the tension shell top is provided with the lifting lug, the lifting lug is connected with the hoisting device, the sensor is connected with the intelligent monitoring early warning module through wireless, the intelligent monitoring early warning module includes data receiver, display analyzer, the wireless receiver is set up on the data receiver, the data receiver is connected with display analyzer through the first data transmission line.This device realizes the following technical breakthroughs through the structure optimization design: increase the contact area: adopt the tension shell matched with the spherical hinge curved surface, the contact area is improved significantly;Friction buffer mechanism: built-in high elasticity rubber pad layer, the friction coefficient increases effectively, can absorb the impact load;Standardized hoisting interface: preset lug structure, adapt to general hoisting equipment, reduce the equipment adjustment difficulty.

Description

Technical Field

[0001] This invention belongs to the technical field of hoisting equipment for engineering construction, and specifically relates to a ball joint hoisting device and control method for a space frame structure. Background Technology

[0002] With the rapid development of transportation infrastructure construction, the construction technology innovation of highway toll station grid canopies, as important structures that combine functionality and aesthetics, is increasingly attracting attention in the engineering field. Grid structures, as a highly efficient spatial grid system, have advantages such as large span, light weight, and beautiful appearance, and are widely used in transportation hub protection projects. Their hoisting technology, as a core aspect of construction, directly affects structural safety, construction efficiency, and cost control.

[0003] Modern toll station canopies typically employ orthogonal or obliquely placed pyramidal grid structures, with typical spans ranging from 30 to 60 meters and thousands of components. Lifting operations face significant technical challenges, including high-risk work at heights, high precision in component spatial positioning, and difficulty in controlling welding deformation. Traditional lifting methods often combine segmented lifting with high-altitude assembly, using 200-ton truck cranes as the primary equipment, supplemented by laser total stations for three-dimensional coordinate verification. Recent developments in integrated lifting technology, through a computer-controlled synchronous system, enable the entire grid unit to be lifted off the ground, moved horizontally, and positioned, reducing high-altitude work by over 70% and significantly improving construction safety.

[0004] The technological evolution in this field exhibits three major trends: First, deep integration of BIM technology, optimizing hoisting paths through 4D construction simulation and identifying collision risks in advance; second, the development of new hoisting tools, such as the application of adjustable grid hoisting frames, which improves single-lifting efficiency by 40%; and third, the permeation of green construction concepts, using low-noise hydraulic lifting systems to replace traditional winches, combined with prefabricated node connection technology, reducing on-site welding by 60%. This technological development not only supports the industrialization of transportation construction but also provides a replicable technical paradigm for the construction of large-span steel structures in complex environments, which is of great significance for improving the technological level of infrastructure construction in my country.

[0005] Currently, highway toll booth canopies generally adopt a grid structure, with ball joints connecting the members. Hoisting is done using truck cranes for in-situ assembly and lifting, requiring high precision control and precise coordination of the lifting machinery. The hoisting process carries significant risks and hazard points, necessitating strict control over safety briefings for personnel at each stage and thorough acceptance of incoming equipment. The current hoisting operations suffer from the following technical deficiencies: Stress concentration risk: Traditional steel wire ropes are directly tied to ball joints, resulting in a small contact area, which can easily lead to local crushing of the rod or breakage of the steel wire rope; Low construction safety: The hoisting process requires the coordinated operation of multiple lifting devices, high precision control, and is prone to structural instability; Limited hoisting efficiency: repeated adjustments to hoisting points are required, extending the construction period and increasing the risks of working at height. Summary of the Invention

[0006] To address the aforementioned problems, this invention proposes a ball joint hoisting device for a space frame structure, comprising a load-bearing outer shell, an inner wall of which is provided with a highly elastic rubber pad and anti-slip texture, sensors installed inside and outside the load-bearing outer shell, a lifting lug installed on the top of the load-bearing outer shell, the lifting lug being connected to a hoisting device, and the sensors being wirelessly connected to an intelligent monitoring and early warning module, the intelligent monitoring and early warning module comprising a data receiver and a display analyzer, the data receiver being equipped with a wireless receiver, and the data receiver being connected to the display analyzer via a first data transmission line.

[0007] Furthermore, the load-bearing outer shell is formed by stamping Q345B steel, and the inner wall is provided with a groove that matches the outer contour of the ball joint.

[0008] Furthermore, the lifting lug has a lifting lug hole and a lifting lug rubber pad layer passes through the lifting lug.

[0009] Furthermore, the hoist is provided with pre-drilled bolt holes, and the hoist is connected to the lifting lugs by means of high-strength bolts and screws.

[0010] Furthermore, the high-strength bolt is provided with a reserved pin hole, through which the anti-slip pin passes.

[0011] Furthermore, the sensor includes a strain gauge wire, a lead wire, a power supply, an electrical signal transmission line, an electrical signal converter, a second data transmission line, a data acquisition transmitter, a positioning signal transmission line, and a positioning and temperature sensor connected in sequence.

[0012] Furthermore, the display analyzer includes a data processing module, a data visualization module, an early warning and decision-making module, a third data transmission line, a data storage device, and a system detection and maintenance module connected in sequence. The data processing module and the data visualization module are both connected to the data storage device.

[0013] A control method for the ball joint hoisting device of the space frame structure described above includes a data processing module performing the following steps: 1) Preprocessing Filtering and noise reduction: Applying digital filtering algorithms to eliminate high-frequency noise; Temperature compensation: Corrects thermal output effects based on temperature sensor data to ensure the accuracy of strain measurement; Outlier removal: Outliers are identified and removed using the 3σ criterion or sliding window statistical method; 2) Feature extraction Calculate key indicators: instantaneous stress / strain value, peak value, mean value, fluctuation range, strain energy density; 3) Advanced Analysis Fatigue analysis: Based on the rainflow counting method, the number of cyclic loads is counted to predict fatigue life; Modal identification: Analyzing the structural vibration frequencies using FFT transform to determine if there is a risk of resonance; Damage assessment: By comparing the measured strain distribution with the finite element model (FEM), potential damage areas can be located.

[0014] Furthermore, the data visualization module also includes the following steps: 1) Real-time dashboard Key parameters are displayed in the form of dynamic graphs and digital instruments, and multi-parameter split-screen comparison is supported; 2) Historical trend analysis Generates time-stress / strain curves, supporting scaling, panning, data annotation, and export to CSV / Excel format; 3) 3D cloud map display Generate strain distribution thermograms for complex structures to visually locate high-stress areas; 4) Multi-dimensional comparison By overlaying data curves under different operating conditions, the correlation between variables can be analyzed.

[0015] Furthermore, the early warning and decision-making module also includes the following steps: 1) Threshold warning Static threshold: Sets the upper limit of the absolute value of stress / strain; exceeding the limit triggers an audible and visual alarm. Dynamic threshold: The warning threshold is dynamically adjusted based on a machine learning model trained on historical data; 2) Tiered alarm mechanism Level 1 Warning (Yellow): Parameters are approaching the safety threshold; SMS / email notification will be sent. Level 2 warning (orange): Parameters continue to exceed limits, triggering a local buzzer and recording an event log; Level 3 warning (red): When the critical value for structural failure is reached, an emergency shutdown or evacuation order will be automatically triggered. 3) Intelligent diagnostic suggestions Based on knowledge base rules, generate maintenance suggestions; It also includes a data storage device (31) that performs the following steps: 1) Time-series database storage Use InfluxDB or TimescaleDB to store high-frequency sampled data, and support fast querying by time range; 2) Relational database archiving MySQL / PostgreSQL stores processed feature values, alarm events, and analysis reports to ensure data traceability; 3) Backup and Restore Regularly and automatically back up data to a remote server, supporting point-in-time restoration of historical data; It also includes a system detection and maintenance module (32) that performs the following steps: 1) Sensor health monitoring Regularly check the zero drift and sensitivity decay of the sensor (4), and automatically calibrate or mark faulty equipment; 2) Software log auditing Record system operating status, alarm trigger records, and user operation logs to facilitate troubleshooting; 3) Remote upgrade Supports OTA updates for firmware / algorithms to ensure continuous optimization of system functions.

[0016] The beneficial effects of this invention are as follows: This device achieves the following technological breakthroughs through structural optimization design: Increased contact area: The use of a tension-bearing outer shell that matches the ball joint surface significantly increases the contact area; Friction buffering mechanism: Built-in high-elasticity rubber pad layer effectively increases the coefficient of friction and can absorb impact loads; Standardized lifting interface: Pre-set lifting lug structure, compatible with general lifting equipment, reducing the difficulty of equipment adjustment. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the overall structure of the ball joint hoisting device for the space frame structure of the present invention; Figure 2 This is a top view of the ball joint hoisting device for the space frame structure of the present invention; Figure 3 This is a cross-sectional view of the ball joint hoisting device for the space frame structure of the present invention; Figure 4 This is a YY cross-sectional view of the ball joint hoisting device for the space frame structure of the present invention; Figure 5 This is a front view of the ball joint hoisting device for the space frame structure of the present invention; Figure 6 This is a left view of the ball joint hoisting device for the space frame structure of the present invention; Figure 7 This is a top view of the ball joint hoisting device for the space frame structure of the present invention; Figure 8 This is a cross-sectional and plan view of the anti-slip texture of the ball joint hoisting device for the space frame structure of the present invention; Figure 9 This is a schematic diagram of the sensor for the ball joint hoisting device of the space frame structure of the present invention; Figure 10 This is a schematic diagram of the display and analysis function of the ball joint hoisting device for the space frame structure of the present invention.

[0018] The components are as follows: 1-Bearing outer shell, 2-High-elasticity rubber pad, 3-Anti-slip texture, 4-Sensor, 5-Lifting lug, 6-Lifting lug rubber pad, 7-High-strength bolt, 8-Lifting lug hole, 9-Screw, 10-Anti-slip pin, 11-Lifting device, 12-Data receiver, 13-First data transmission line, 14-Display analyzer, 15-Strain gauge wire, 16-Lead-out wire, 17-Power supply, 18-Electrical signal transmission line, 19-Electrical signal converter, 20-Second data transmission line, 21-Data acquisition transmitter, 22-Positioning signal transmission line, 23-Positioner, 24-Reserved bolt hole, 25-Reserved pin hole, 26-Wireless receiver, 27-Data processing module, 28-Data visualization module, 29-Early warning and decision-making module, 30-Third data transmission line, 31-Data storage, 32-System detection and maintenance module. Detailed Implementation

[0019] To make the technical means and objectives of this invention easier to understand, the invention is further described below in conjunction with specific embodiments, such as a ball joint hoisting device for a space frame structure. Figures 1-10 As shown, it includes a load-bearing outer shell 1, with a high-elasticity rubber pad layer 2 and anti-slip texture 3 on the inner wall of the load-bearing outer shell 1. Sensors 4 are installed inside and outside the load-bearing outer shell 1. Lifting lugs 5 are installed on the top of the load-bearing outer shell 1. The lifting lugs 5 are connected to the lifting device 11. The sensors 4 are wirelessly connected to the intelligent monitoring and early warning module. The intelligent monitoring and early warning module includes a data receiver 12 and a display analyzer 14. A wireless receiver 26 is installed on the data receiver 12. The data receiver 12 is connected to the display analyzer 14 through a first data transmission line 13.

[0020] The load-bearing outer shell 1 is made of Q345B steel and is stamped, with a groove on the inner wall that matches the outer contour of the ball joint.

[0021] The lifting lug 5 has a lifting lug hole 8 and a lifting lug rubber pad 6 passes through the lifting lug 5.

[0022] The hoisting device 11 is provided with reserved bolt holes 24, and the hoisting device 11 is connected to the lifting lug 5 by the cooperation of high-strength bolts 7 and screws 9.

[0023] The high-strength bolt 7 is provided with a reserved pin hole 25, and the anti-slip pin 10 passes through the reserved pin hole 25.

[0024] The sensor 4 includes a strain gauge wire 15, a lead wire 16, a power supply 17, an electrical signal transmission line 18, an electrical signal converter 19, a second data transmission line 20, a data acquisition transmitter 21, a positioning signal transmission line 22, and a positioning and temperature sensor 23, which are connected in sequence.

[0025] The display analyzer 14 includes a data processing module 27, a data visualization module 28, an early warning and decision-making module 29, a third data transmission line 30, a data storage device 31, and a system detection and maintenance module 32 connected in sequence. The data processing module 27 and the data visualization module 28 are both connected to the data storage device 31.

[0026] The structure consists of the following components: (1) Ball joint contact module Tension-bearing outer shell 1: It is made of Q345B (or other strength materials, depending on the different lifting weight) steel by stamping, and the inner wall is provided with a groove that matches the outer contour of the ball joint; High-elasticity rubber pad 2: vulcanized and bonded to the inner wall of the bearing shell 1, with a thickness of 8-12mm and a Shore hardness of 70±5; Anti-slip texture 3 (with) Figure 8 The inner wall of the outer shell 1 is decorated with a diamond pattern, with a pattern depth of 2mm and a spacing of 5mm. Sensor 4: Attached to the inside and outside of the bearing housing 1, one directly below the bottom, four symmetrically and centrally arranged on the outside, and four symmetrically and centrally arranged inside (see appendix). Figure 2 ); Lifting lug 5: Welded to the top of the bearing shell 1, with a lifting hole of 50mm in diameter, and a 6-lifting lug rubber pad layer.

[0027] (2) Lifting connection module Angle adjustment mechanism: High-strength bolt 7 is hinged through lifting lug hole 8 to achieve tilt angle compensation; Safety latch: Equipped with a double anti-disengagement hook (screw 9 and anti-slip pin 10); Lifting device 11: Made of high-strength steel through one-piece die casting.

[0028] (3) Intelligent monitoring and early warning module Data receiver 12: Acquires stress-strain sensor data via wireless transmission; Display Analyzer 14: Composed of a data processing module 27, a data visualization module 28, an early warning and decision-making module 29, a third data transmission line 30, a data storage device 31, and a system detection and maintenance module 32, it realizes the intelligent monitoring and early warning function of monitoring data.

[0029] The working principle is as follows: The load-bearing outer shell 1 is fastened to the ball joint and pre-tightened with 4 high-strength bolts; The highly elastic rubber pad 2 undergoes elastic deformation, filling the micro-gaps on the surface of the ball joint; The lifting equipment applies load through the hoist 11, effectively reducing the pressure on the contact surface; The high-elasticity rubber pad 2 dynamically buffers vibrations during hoisting, avoiding rigid impacts.

[0030] This device effectively increases the contact area of ​​the ball joint, reduces the maximum stress value, and significantly reduces the rope breakage accident rate.

[0031] The connection method is as follows: The high-elasticity rubber pad 2 is bonded to the load-bearing housing 1 by vulcanization, the sensor 4 is connected to the load-bearing housing 1 by fixing glue, the lifting lug 5 is welded to the load-bearing housing 1, and the lifting lug rubber pad 6 is vulcanized and bonded to the wall of the lifting lug hole 8, thereby forming a ball joint contact module.

[0032] The high-strength bolt 7 is hinged to the hoisting device 11 through the reserved bolt hole 24 using screw 9 and anti-slip pin 10 to form a hoisting connection module. The anti-slip pin 10 passes through the reserved pin hole 25 through the high-strength bolt and screw 9 to form a double anti-disengagement system.

[0033] The data receiver 12 is connected to the display analyzer 14 via the first data transmission line 13 to form an intelligent monitoring and early warning module, wherein the data receiver 12 uses the device's wireless receiver to receive data from the data acquisition transmitter 21 in the sensor 4.

[0034] The data processing module 27, data visualization module 28, early warning and decision-making module 29, data storage 31, and system detection and maintenance module 32 are connected by a third data transmission line 30 for data transmission.

[0035] Specific implementation steps First, a total station is used to accurately lay out the coordinates of the lifting points. The steel columns are then lifted to the designated positions and positioned for installation. The space frame units are assembled on the ground according to standard specifications. After the overall space frame assembly is completed, the lifting device is installed at the ball joint nodes. First, the ball joint contact module is positioned and fixed to each designated lifting point. Then, high-strength bolts 7 are used to hinge the ball joint contact module to the lifting device 11 through the lifting lug holes 8 using screws 9 and anti-slip pins 10. The stability of each connection is checked. After verification, the wire ropes of each lifting device are threaded through the pre-drilled holes of the lifting device 11 and secured with U-shaped locks. The lifting points are then checked again.

[0036] Its specific functions are as follows: Tension-bearing outer shell 1: bears weight in direct contact with the mesh structure ball joint; High-elasticity rubber pad 2: It generates elastic deformation upon contact with the ball joint and plays a role in cushioning and anti-slip; Anti-slip texture 3: Increases the friction force when in contact with the ball joint; Sensor 4: Acquires the current elevation position and measures the stress and strain changes of the outer shell during hoisting; Lifting lug 5: A connecting device between the ball joint contact module and the lifting connection module; Lifting lug rubber pad 6: Prevents slippage of the ball joint contact module and lifting connection module and cushions gravity; High-strength bolt 7: The ball hinge contact module and the hoisting connection module are hinged through the lifting lug hole 8; Lifting lug hole 8: Provides the position for high-strength bolt 7 to pass through; Screw 9: Connect the hoisting device 11 to the hoisting device 7 using high-strength bolts; Anti-slip pin 10: Prevents screw 9 from loosening and coming off; Lifting device 11: Connected to the lifting equipment via a wire rope; Data receiver 12: Acquires data from wireless receiver 26; First data transmission line 13: Transmits relevant data acquired by data receiver 12 to display analyzer 14; Display Analyzer 14: Processes and analyzes the data, displays the elevation and stress-strain changes of each point during the hoisting process in real time, and monitors and issues early warnings in real time. Strain gauge wire 15: Deformation caused by external force results in a change in resistance; Lead 16: Transmits current to power supply terminal 17; Power supply 17: Provides voltage to strain gauge wire 15; Electrical signal transmission line 18: transmits electrical signals to electrical signal converter 19; Electrical signal converter 19: converts electrical signals into recognizable data; Second data transmission line 20: transmits the data generated by electrical signal converter 19 to data acquisition transmitter 21; Data acquisition transmitter 21: wirelessly transmits the acquired data to data receiver 12; Positioning signal transmission line 22: transmits coordinate information to data acquisition transmitter 21; Positioning and temperature sensor 23: Acquires device location coordinates and temperature information; Pre-drilled bolt hole 24: Screw 9 passes through the pre-drilled hole of hoist 11; Reserved pin hole 25: Anti-slip pin 10 passes through the reserved hole of screw 9; Wireless receiver 26: Receives data such as elevation, temperature, and stress-strain via wireless transmission (LoRa / 4G / 5G).

[0037] A control method for a ball joint hoisting device for a space frame structure includes a data processing module 27 performing the following steps: (1) Pretreatment Filtering and noise reduction: Apply digital filtering algorithms (such as Butterworth low-pass filtering and wavelet transform) to eliminate high-frequency noise.

[0038] Temperature compensation: Corrects thermal output effects based on temperature sensor data to ensure the accuracy of strain measurement.

[0039] Outlier removal: Outliers are identified and removed using the 3σ criterion or sliding window statistical method.

[0040] (2) Feature extraction Calculate key indicators such as instantaneous stress / strain values, peak value, mean value, fluctuation range, and strain energy density.

[0041] (3) Advanced Analysis Fatigue analysis: Based on the rainflow counting method, the number of cyclic loads is counted to predict fatigue life.

[0042] Modal identification: Analyze the vibration frequency of the structure through FFT transformation to determine whether there is a risk of resonance.

[0043] Damage assessment: By comparing the measured strain distribution with the finite element model (FEM) (which will be included in the specific construction plan), potential damage areas can be located.

[0044] It also includes a data visualization module 28 that performs the following steps: (1) Real-time dashboard Key parameters (such as current stress value and safety factor) are displayed in the form of dynamic curves and digital instruments, and multi-parameter split-screen comparison is supported.

[0045] (2) Historical trend analysis Generates time-stress / strain curves, supporting scaling, panning, data annotation, and export to CSV / Excel format.

[0046] (3) Display of three-dimensional cloud map Generate strain distribution thermograms for complex structures to visually locate high-stress areas.

[0047] (4) Multi-dimensional comparison Data curves under different operating conditions (such as loading / unloading, temperature changes) are superimposed to assist in the analysis of variable correlation.

[0048] It also includes the early warning and decision-making module 29, which performs the following steps: (1) Threshold warning Static threshold: Set the upper limit of the absolute value of stress / strain (e.g., 80% of the yield strength). Exceeding the limit will trigger an audible and visual alarm.

[0049] Dynamic threshold: The warning threshold is dynamically adjusted based on the machine learning model (such as LSTM neural network) trained on historical data.

[0050] (2) Tiered alarm mechanism Level 1 Warning (Yellow): Parameters are approaching the safe threshold; SMS / email notification will be sent.

[0051] Level 2 Warning (Orange): Parameters continue to exceed limits, triggering a local buzzer and recording an event log.

[0052] Level 3 warning (red): When the critical value for structural damage is reached, an emergency shutdown or evacuation order will be automatically triggered.

[0053] (3) Intelligent diagnostic suggestions Based on knowledge base rules (such as "stress concentration + high-frequency vibration = crack propagation risk"), maintenance suggestions are generated (such as suggesting immediate inspection of a certain point).

[0054] The third data transmission line 30 provides data transmission functionality between the data processing module 27, the data visualization module 28, the early warning and decision-making module 29, the data storage module 31, and the system detection and maintenance module 32.

[0055] The data storage device 31 also performs the following steps: (1) Time-series database storage Use InfluxDB or TimescaleDB to store high-frequency sampled data, and support fast querying by time range.

[0056] (2) Relational database archiving MySQL / PostgreSQL stores processed feature values, alarm events, and analysis reports to ensure data traceability.

[0057] (3) Backup and recovery It automatically backs up data to a remote server on a regular basis and supports restoring historical data by point in time.

[0058] The system detection and maintenance module 32 also includes the following steps: (1) Sensor health monitoring Regularly check for zero-point drift and sensitivity decay of the 4-sensor, and automatically calibrate or mark faulty equipment.

[0059] (2) Software log auditing Record system operating status, alarm trigger records, and user operation logs to facilitate troubleshooting.

[0060] (3) Remote upgrade Supports OTA updates for firmware / algorithms to ensure continuous optimization of system functions.

[0061] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A control method for a ball-joint hoisting device for a space frame structure, characterized in that, The ball joint hoisting device for the space frame structure includes a load-bearing shell. The inner wall of the load-bearing shell is provided with a high-elasticity rubber pad and anti-slip texture. Sensors are installed inside and outside the load-bearing shell. Lifting lugs are installed on the top of the load-bearing shell and are connected to the hoisting device. The sensors are wirelessly connected to the intelligent monitoring and early warning module. The intelligent monitoring and early warning module includes a data receiver and a display analyzer. A wireless receiver is installed on the data receiver and the data receiver is connected to the display analyzer through a first data transmission line. The outer shell is made of Q345B steel and stamped out, with a groove on the inner wall that matches the outer contour of the ball joint; The lifting lug has a lifting lug hole, and a lifting lug rubber pad is inserted through the lifting lug hole; The hoist is equipped with pre-drilled bolt holes, and the hoist is connected to the lifting lugs by high-strength bolts and screws. The high-strength bolts are provided with pre-drilled pin holes, through which anti-slip pins pass; The sensor includes a strain gauge wire, lead wire, power supply, electrical signal transmission line, electrical signal converter, second data transmission line, data acquisition transmitter, positioning signal transmission line, positioning and temperature sensor connected in sequence. The display analyzer includes a data processing module, a data visualization module, an early warning and decision-making module, a third data transmission line, a data storage device, and a system detection and maintenance module, which are connected in sequence. The data processing module and the data visualization module are both connected to the data storage device. The method includes a data processing module that performs the following steps: 1) Preprocessing Filtering and noise reduction: Applying digital filtering algorithms to eliminate high-frequency noise; Temperature compensation: Corrects thermal output effects based on positioning and temperature sensor data to ensure the accuracy of strain measurement; Outlier removal: Outliers are identified and removed using the 3σ criterion or sliding window statistical method; 2) Feature extraction Calculate key indicators: instantaneous stress / strain value, peak value, mean value, fluctuation range, strain energy density; 3) Advanced Analysis Fatigue analysis: Based on the rainflow counting method, the number of cyclic loads is counted to predict fatigue life; Modal identification: Analyzing the structural vibration frequencies using FFT transform to determine if there is a risk of resonance; Damage assessment: By comparing the measured strain distribution with the finite element model (FEM), potential damage areas can be located. It also includes a data visualization module that performs the following steps: 1) Real-time dashboard Key parameters are displayed in the form of dynamic graphs and digital instruments, and multi-parameter split-screen comparison is supported; 2) Historical trend analysis Generates time-stress / strain curves, supporting scaling, panning, data annotation, and export to CSV / Excel format; 3) 3D cloud map display Generate strain distribution thermograms for complex structures to visually locate high-stress areas; 4) Multi-dimensional comparison Overlaying data curves under different operating conditions helps in analyzing the correlation between variables; It also includes an early warning and decision-making module that performs the following steps: 1) Threshold warning Static threshold: Sets the upper limit of the absolute value of stress / strain; exceeding the limit triggers an audible and visual alarm. Dynamic threshold: The warning threshold is dynamically adjusted based on a machine learning model trained on historical data; 2) Tiered alarm mechanism Level 1 Yellow Alert: Parameters are approaching the safe threshold; SMS / email notification will be sent. Level 2 Orange Alert: Parameters continue to exceed limits, triggering a local buzzer and recording an event log; Level 3 Red Alert: When the critical value for structural damage is reached, an emergency shutdown or evacuation order will be automatically triggered. 3) Intelligent diagnostic suggestions Based on knowledge base rules, generate maintenance suggestions; The data storage device also performs the following steps: 1) Time-series database storage Use InfluxDB or TimescaleDB to store high-frequency sampled data, and support fast querying by time range; 2) Relational database archiving MySQL / PostgreSQL stores processed feature values, alarm events, and analysis reports to ensure data traceability; 3) Backup and Restore Regularly and automatically back up data to a remote server, supporting point-in-time restoration of historical data; It also includes a system detection and maintenance module that performs the following steps: 1) Sensor health monitoring Regularly check sensor zero-point drift and sensitivity decay, and automatically calibrate or mark faulty equipment; 2) Software log auditing Record system operating status, alarm trigger records, and user operation logs to facilitate troubleshooting; 3) Remote upgrade Supports OTA updates for firmware / algorithms to ensure continuous optimization of system functions.

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