Construction hanging basket operation risk real-time monitoring method and system

Abstract

The invention relates to the technical field of bridge construction, in particular to a construction hanging basket operation risk real-time monitoring method and system. The method comprises the following steps: S1, deploying a monitoring system including sensing, transmission, data processing and early-warning brake layers; s2, early warning and braking threshold values are set; s3, the sensing layer collects parameters in real time in the walking process and transmits the parameters to the data processing layer through the transmission layer; s4, the processing layer preprocesses the data, calculates a displacement difference and a speed difference, and judges a balance state in combination with attitude parameters; and S5, executing continuous monitoring, primary early warning or secondary early warning and emergency braking according to a judgment result. In the system, a sensing layer comprises a high-precision laser displacement sensor, a tilt angle sensor and a stress monitoring module, a transmission layer adopts a'wired + wireless' mixed mode (delay is less than or equal to 0.5 s), a data processing layer comprises an edge computing terminal and a background monitoring center, and an early warning braking layer realizes graded prevention and control. According to the invention, automatic high-precision monitoring is realized, manual dependence is avoided, accurate early warning and braking are realized, overturning accidents are avoided, and construction safety and quality are improved.

Description

A method and system for real-time monitoring of operational risks of construction hanging baskets Technical Field

[0001] This invention relates to the field of bridge construction technology, and in particular to a method and system for real-time monitoring of the operational risks of construction hanging baskets. Background Technology

[0002] In the construction of continuous beams in transportation engineering projects such as highways and railways, the formwork, as the core load-bearing and operating equipment, directly determines construction safety through its synchronicity and stability during movement. Continuous beam construction requires the formwork on both sides to move in strict sync to avoid overturning accidents caused by excessive displacement or speed differences or structural stress imbalances. Such accidents, once they occur, will cause significant casualties, equipment damage, and project delays, resulting in substantial economic losses and social impact.

[0003] Currently, the industry's monitoring of the traveling status of hanging baskets mainly relies on the visual observation and experience of on-site construction personnel. This involves manually monitoring the movement and posture changes of the hanging baskets on both sides, subjectively judging whether there is a risk of synchronous imbalance. However, this traditional monitoring method has several insurmountable drawbacks: First, manual monitoring is highly subjective; different operators have inconsistent judgment standards, easily leading to missed risks due to insufficient experience or visual errors. Second, imbalance can occur instantaneously during the traveling of the hanging basket, and the limited reaction speed of manual visual monitoring makes it difficult to capture instantaneous imbalance signals, resulting in significant monitoring lag. Third, manual monitoring cannot quantify key technical parameters such as displacement difference, velocity difference, and structural stress; it can only make qualitative judgments and cannot accurately identify potential risks approaching critical states. Fourth, continuous beam construction often involves high piers and large spans, with complex working environments; manual visual monitoring is easily affected by weather, obstructed views, and other factors, further reducing monitoring reliability.

[0004] To address these issues, some construction scenarios have attempted to use simple mechanical limit switches or single-point sensor monitoring. However, such methods can only achieve rough monitoring of a single parameter, lack the fusion analysis of multi-dimensional data, and cannot fully reflect the overall balance of the hanging basket. Furthermore, existing monitoring methods have not formed an integrated linkage mechanism of "monitoring-analysis-early warning-braking". Even if an imbalance risk is detected, manual braking measures are required, resulting in low response efficiency and difficulty in preventing accidents.

[0005] In summary, existing methods for monitoring the movement of formwork suffer from technical deficiencies such as low monitoring accuracy, poor real-time performance, untimely early warnings, and reliance on manual operation. These shortcomings fail to meet the high-precision, automated control requirements for formwork safety in continuous beam construction. Therefore, developing a technical solution capable of real-time, automatic monitoring of the formwork's balance, accurate early warning, and rapid triggering of emergency braking is crucial for mitigating the risk of formwork overturning in continuous beam construction. This has significant practical implications for ensuring construction safety and improving project quality.

[0006] In view of the above-mentioned shortcomings, the designer has actively researched and innovated in order to create a real-time monitoring method and system for the operation risk of construction hanging baskets, so as to make it more valuable for industrial use. Summary of the Invention

[0007] To address the aforementioned technical problems, the purpose of this invention is to provide a method and system for real-time monitoring of operational risks of construction hanging baskets.

[0008] This invention provides a real-time monitoring method for the operational risks of a construction formwork, comprising the following steps: S1, deploying a monitoring system, which includes a sensing layer, a transmission layer, a data processing layer, and an early warning and braking layer; the sensing layer is deployed at key locations on the formwork to collect the traveling displacement, traveling speed, and posture parameters of the formwork on both sides; S2, setting balance state evaluation thresholds, including an early warning threshold and a braking threshold, wherein the early warning threshold is the initial warning threshold for formwork imbalance, and the braking threshold is the emergency prevention and control threshold for formwork imbalance; S3, during the movement of the formwork, the sensing layer collects monitoring parameters in real time, and the transmission layer transmits the monitoring data to the data processing layer; S4, the data processing layer preprocesses and fuses the monitoring data, calculates the difference in traveling displacement and speed between the two sides of the formwork, and determines the balance state of the formwork based on the posture parameters; S5, executing corresponding prevention and control measures based on the balance state judgment results: if the monitoring indicators do not exceed the early warning threshold, monitoring continues; if the monitoring indicators exceed the early warning threshold but do not reach the braking threshold, a first-level early warning is initiated; if the monitoring indicators reach the braking threshold, a second-level early warning is initiated and emergency braking is triggered, forcing the formwork to stop moving.

[0009] This real-time risk monitoring method for construction formwork operation involves first deploying a monitoring system comprising a sensing layer, a transmission layer, a data processing layer, and an early warning and braking layer. The sensing layer collects data on the displacement, speed, and attitude parameters of the formwork at key locations on both sides. Then, an early warning threshold is set as the initial warning threshold for formwork imbalance, and a braking threshold is set as the emergency control threshold. During formwork movement, the monitoring parameters collected in real-time by the sensing layer are transmitted to the data processing layer via the transmission layer. The data processing layer preprocesses and fuses the monitoring data, calculating the difference in displacement and speed between the two sides of the formwork and combining this with attitude parameters to determine the balance state. Finally, corresponding control measures are implemented based on the judgment results. If the warning threshold is not exceeded, monitoring continues; if the warning threshold is exceeded but the braking threshold is not reached, [further control measures are implemented]. The system initiates a Level 1 warning; if the braking threshold is reached, a Level 2 warning is activated, triggering emergency braking to force the hanging basket to stop. This achieves automated, high-precision real-time monitoring of the hanging basket's balance throughout its movement, completely eliminating reliance on manual visual control. It provides timely and accurate warnings of potential imbalance risks, quickly triggering emergency braking to prevent overturning accidents at their source, ensuring the safety of construction personnel and the stability of equipment during continuous beam construction, and improving construction efficiency and project quality. The corresponding monitoring system uses a stress monitoring module combining laser displacement sensors (with a monitoring accuracy of no less than ±0.1mm), tilt sensors, strain gauges, and data acquisition modules in the sensing layer to accurately collect parameters such as the traveling displacement of the hanging baskets on both sides, horizontal tilt angle, vertical deflection, main truss stress, and sling tension. This data is collected via wired +... The "wireless" hybrid transmission mode (short-range industrial Ethernet, long-range 5G / 4G industrial router, transmission latency ≤0.5s) stably transmits data to the data processing layer. The on-site edge computing terminal completes data preprocessing, displacement difference and velocity difference calculation, and multi-parameter weighted algorithm analysis to determine the balance state and compare it with the preset threshold in real time. The background monitoring center realizes data storage, visualization display and dynamic optimization of thresholds. The early warning and braking layer uses an emergency braking execution component consisting of an audible and visual early warning device, a mobile terminal communication module and an electromagnetic brake or hydraulic lock to initiate early warning and braking measures in stages according to the matching of monitoring indicators and thresholds. The preset thresholds are determined by the mechanical calculation of the hanging basket structure and dynamically optimized in combination with construction conditions, design loads and historical data. The background monitoring center can also retrospectively analyze historical data to assess operational stability, thereby realizing closed-loop prevention and control of hanging basket operation risks throughout the entire process. This greatly improves the accuracy of monitoring data, the real-time transmission, the scientific nature of judgment and the efficiency of emergency response, providing reliable safety guarantee and data support for continuous beam construction.

[0010] Furthermore, in step S1, the sensing layer also includes a stress monitoring module for collecting the stress parameters of the main truss of the hanging basket and the tension parameters of the slings. The stress monitoring module adopts a combination structure of strain gauges and data acquisition modules.

[0011] At the critical stress-bearing sections of the main truss of the hanging basket and the core force-transmitting parts of the hoisting straps in the system perception layer, an additional stress monitoring module consisting of strain gauges and a data acquisition module is configured. The strain gauges accurately capture the stress deformation of the main truss and the changes in the tension of the hoisting straps and convert them into electrical signals. The data acquisition module completes signal acquisition, conversion and preliminary processing, realizing the real-time capture of the stress parameters of the main truss of the hanging basket and the tension parameters of the hoisting straps. This allows for a comprehensive understanding of the stress state of the core load-bearing structure of the hanging basket, timely detection of stress anomalies caused by uneven load, structural fatigue or local damage, and provides key stress data support for the assessment of the balance state of the hanging basket. This further improves the comprehensiveness and accuracy of the monitoring system in identifying potential risks and ensures the structural safety of the hanging basket during its movement.

[0012] Furthermore, in step S1, the displacement monitoring of the sensing layer adopts a laser displacement sensor with a monitoring accuracy of not less than ±0.1mm; the attitude monitoring adopts an tilt sensor to collect the horizontal tilt angle and vertical deflection parameters of the hanging basket.

[0013] At key deployment locations in the system's perception layer, laser displacement sensors with a monitoring accuracy of ±0.1mm are used to collect displacement data of the hanging baskets on both sides. Leveraging the high sensitivity and anti-interference characteristics of laser sensing technology, the displacement is accurately captured. Simultaneously, tilt sensors are used to collect horizontal tilt angle and vertical deflection data of the hanging baskets in real time during operation, comprehensively acquiring information on changes in the spatial attitude of the hanging baskets. Together, these two sensors provide high-precision and high-reliability basic data support for subsequent calculation of the displacement difference between the two hanging baskets and judgment of the overall balance state. This effectively avoids risky misjudgments caused by displacement or attitude monitoring errors, significantly improves the accuracy of the hanging basket's synchronization monitoring and the scientific nature of balance state judgment, and lays a solid data foundation for the accurate triggering of subsequent early warning and braking measures.

[0014] Furthermore, in step S1, the transmission layer adopts a hybrid wired and wireless transmission mode, with short-range data transmitted via industrial Ethernet and long-range data transmitted via 5G / 4G industrial routers, and the data transmission delay ≤0.5s.

[0015] The system's transmission layer innovatively adopts a wired and wireless dual-mode collaborative transmission architecture. For short-distance data interaction between the sensing layer and the field data processing terminal, the high stability and high transmission rate of industrial Ethernet ensure the continuity of data transmission. For long-distance data communication between the field terminal and the remote back-end monitoring center, a high-speed communication link is established through 5G / 4G industrial routers to achieve long-distance real-time transmission of monitoring data. The entire transmission scheme strictly controls the data transmission delay to within 0.5 seconds, effectively avoiding the problems of single transmission mode being susceptible to interference and transmission limitations in complex construction environments. It also ensures that key monitoring data such as displacement, attitude, and stress collected by the sensing layer can be quickly and without distortion transmitted to the data processing layer, providing timely data support for subsequent balance state assessment, early warning signal triggering, and emergency braking control, thus ensuring the real-time response capability and operational reliability of the entire monitoring system.

[0016] Furthermore, in step S1, the data processing layer includes an on-site edge computing terminal and a back-end monitoring center; the on-site edge computing terminal is used for data preprocessing and real-time threshold comparison, and the back-end monitoring center is used for data storage, visualization, and threshold optimization adjustment.

[0017] The data processing layer adopts a distributed architecture of "on-site edge computing + centralized back-end management and control," consisting of on-site edge computing terminals and a back-end monitoring center. The on-site edge computing terminals are responsible for preprocessing the monitoring data, such as filtering, denoising, and format conversion, and simultaneously calculate the displacement and speed differences between the two sides of the hanging basket. They use a multi-parameter weighted algorithm to fuse attitude parameters to determine the balance state of the hanging basket and compare it with preset thresholds in real time. The back-end monitoring center focuses on storing and archiving all monitoring data, visualizing the hanging basket's operating status, and dynamically optimizing and adjusting thresholds based on construction conditions, design loads, and historical data. This layered processing mode not only leverages the low latency of edge computing to ensure the real-time nature of balance state assessment and threshold comparison, but also achieves long-term data retention and continuous optimization of the monitoring scheme through centralized back-end management and control. At the same time, the visualization allows construction personnel to intuitively grasp the dynamics of the hanging basket's operation, providing efficient and accurate data support for risk management and construction decisions, and comprehensively improving the operational efficiency and practical value of the monitoring system.

[0018] Furthermore, in step S5, the first-level warning includes activating the audible and visual warning device and pushing warning information to the mobile terminal of the construction personnel; the second-level warning includes upgrading the audible and visual warning signal and simultaneously linking the electromagnetic brake or hydraulic lock of the hanging basket traveling drive system to perform emergency braking.

[0019] To address different levels of imbalance risk, a tiered response mechanism is implemented in the early warning and braking layer: When the monitored indicators exceed the early warning threshold but do not reach the braking threshold, the audible and visual early warning device is activated simultaneously to issue a field warning signal, and precise early warning information is pushed through the mobile terminal communication module of the construction personnel, ensuring that the operators are aware of the risk immediately and take timely adjustment measures; When the monitored indicators reach the braking threshold and the hanging basket faces an emergency risk of overturning, the audible and visual early warning signal is upgraded to a high-intensity warning, and the emergency braking execution component composed of an electromagnetic brake or hydraulic lock is triggered, which quickly links with the hanging basket traveling drive system to achieve a forced stop. In this way, through the coordinated action of tiered early warning and precise braking, a gradient control of risks is achieved, which avoids excessive braking that affects construction efficiency during minor imbalances, and can quickly cut off the source of danger when major risks occur, maximizing the safety of personnel and the stability of equipment during the travel of the hanging basket.

[0020] Furthermore, in step S2, the equilibrium state evaluation threshold is determined by structural mechanics calculations of the hanging basket and dynamically optimized by combining the continuous beam construction conditions, hanging basket design load, and historical monitoring data.

[0021] The warning and braking thresholds required for evaluating the balance state of the hanging basket are first determined by professional calculations based on the structural mechanical properties of the hanging basket to clarify the initial benchmark values. Then, dynamic iterative optimization is carried out by combining the actual working condition changes during the construction of the continuous beam, the design load parameters of the hanging basket, and the massive amount of data accumulated from historical monitoring. This ensures that the threshold settings not only meet the theoretical requirements of the hanging basket structure but also accurately adapt to the actual operating scenarios at different construction stages. This avoids the problem of delayed warnings or false triggering caused by the mismatch between fixed thresholds and on-site working conditions, improves the scientificity and accuracy of balance state judgment, and provides a reliable basis for the reasonable triggering of graded warnings and emergency braking measures.

[0022] Furthermore, in step S4, the data preprocessing includes filtering, denoising, and format conversion. The fusion analysis adopts a multi-parameter weighted algorithm, which combines the weight ratios of displacement difference, velocity difference, and attitude parameters to determine the equilibrium state.

[0023] In the data processing stage, the raw monitoring data collected by the sensing layer is first preprocessed by filtering, denoising, and format conversion to effectively eliminate invalid data and errors caused by factors such as electromagnetic interference and vibration interference in the construction environment, ensuring the purity and standardization of the data. Then, a multi-parameter weighted algorithm is used for fusion analysis. According to the importance of displacement difference, velocity difference, and attitude parameters in the judgment of the hanging basket balance state, corresponding weights are assigned. Through weighted calculation, deep fusion and comprehensive evaluation of multi-dimensional data are achieved, so as to accurately judge the real-time balance state of the hanging basket, avoid the risk of misjudgment caused by the limitations of single parameter monitoring, improve the scientificity, comprehensiveness and reliability of the balance state judgment results, and provide solid data support for the accurate triggering of subsequent graded early warning and emergency braking measures.

[0024] Furthermore, step S6 is included: after the hanging basket has completed its travel, the historical monitoring data is retrospectively analyzed to assess the stability of the hanging basket's operation and provide data support for optimizing the monitoring plan for subsequent construction.

[0025] After the hanging basket completes a single travel operation, a multi-dimensional retrospective analysis is conducted based on the historical monitoring data stored in the back-end monitoring center. The system systematically sorts out key data characteristics such as displacement synchronization, speed matching degree, structural stress changes and attitude stability during the travel process, accurately assesses the overall stability level of the hanging basket operation, locates potential risk points and weak links in monitoring, and provides detailed data support for subsequent construction of different beam segments, adjustment of monitoring parameters under different working conditions, threshold optimization and iteration of monitoring schemes. This promotes the continuous adaptation of the monitoring system to construction needs and continuously improves the accuracy of risk identification and the pertinence of prevention and control measures.

[0026] A system employing a real-time monitoring method for the operational risks of construction formwork includes a sensing layer, a transmission layer, a data processing layer, and an early warning and braking layer. These layers work together to achieve real-time monitoring and control of the operational risks of the formwork. The sensing layer is deployed at key locations on the formwork and includes laser displacement sensors, tilt sensors, and a stress monitoring module. The laser displacement sensors collect the travel displacement of the formwork on both sides with a monitoring accuracy of no less than ±0.1mm. The tilt sensors collect the horizontal tilt angle and vertical deflection of the formwork. The stress monitoring module uses a combination of strain gauges and a data acquisition module to collect the stress parameters of the main truss and the tension parameters of the slings. The transmission layer uses a hybrid wired and wireless transmission mode. Short-range data is transmitted via industrial Ethernet, and long-range data is transmitted via a 5G / 4G industrial router with a data transmission delay of ≤0.5s. This layer transmits the monitoring data collected by the sensing layer to the data processing layer. The data processing layer includes a field edge computing terminal and a back-end monitoring center. The field edge computing terminal performs preprocessing on the monitoring data, including filtering, noise reduction, and format conversion, and can also calculate the travel displacement of the formwork on both sides. The system measures displacement and speed differences, employing a multi-parameter weighted algorithm combined with attitude parameters to determine the balance state of the hanging basket, while simultaneously comparing it in real-time with preset thresholds. The backend monitoring center stores monitoring data, visualizes the hanging basket's operating status, and dynamically optimizes and adjusts the thresholds. The early warning and braking layer includes an audible and visual warning device, a mobile terminal communication module for construction personnel, and an emergency braking execution component, which is either an electromagnetic brake or a hydraulic lock. When a monitored indicator exceeds the warning threshold but does not reach the braking threshold, the audible and visual warning device is activated, and warning information is pushed through the mobile terminal communication module. When the monitored indicator reaches the braking threshold, the audible and visual warning signal is upgraded, and the emergency braking execution component, in conjunction with the hanging basket's travel drive system, performs emergency braking, forcing the hanging basket to stop. The preset thresholds include both warning and braking thresholds, both determined through hanging basket structural mechanics calculations and dynamically optimized based on continuous beam construction conditions, hanging basket design loads, and historical monitoring data. The backend monitoring center can also perform retrospective analysis of historical monitoring data to assess the hanging basket's operational stability, providing data support for optimizing subsequent construction monitoring schemes.

[0027] This real-time monitoring system for the operation risk of the construction hanging basket possesses multi-dimensional core advantages. Through a collaborative closed-loop design of the perception layer, transmission layer, data processing layer, and early warning and braking layer, it achieves a comprehensive improvement in monitoring accuracy, real-time transmission, scientific analysis, and efficient prevention and control. The perception layer integrates a high-precision laser displacement sensor (accuracy ±0.1mm), tilt sensor, and stress monitoring module, capturing key data on displacement, attitude, and stress from multiple dimensions. Compared to traditional manual monitoring or single-parameter monitoring, it provides more comprehensive coverage and more accurate data, avoiding missed risk assessments at the source. The transmission layer adopts a hybrid "wired + wireless" mode, combining the dual-mode advantages of industrial Ethernet and 5G / 4G routers. This solves the interference problem of a single transmission mode in complex construction environments and controls latency within 0.5 seconds, ensuring fast and distortion-free data transmission and guaranteeing real-time response. The data processing layer utilizes existing... The preprocessing and real-time comparison of the edge computing terminal, combined with the visualization and dynamic threshold optimization of the back-end monitoring center, not only enables rapid judgment of the equilibrium state, but also improves the scientific nature of the analysis by using a multi-parameter weighted algorithm, avoiding misjudgments caused by a single data dimension. The hierarchical response mechanism of the early warning and braking layer, through the linkage of audible and visual warnings, mobile terminal push, and electromagnetic brakes / hydraulic locks, achieves gradient control of "early warning-handling-emergency braking", which does not affect normal construction efficiency and can quickly cut off the source of danger when the risk is critical. In addition, the threshold system based on structural mechanics calculations and combined with working conditions, loads and historical data for dynamic optimization, as well as the historical data backtracking analysis function, enable the system to have continuous adaptability and iteration capabilities, completely get rid of dependence on human experience, significantly improve the safety level of hanging basket construction, and provide data support for subsequent engineering optimization, which is both practical and forward-looking.

[0028] By means of the above solution, the present invention has at least the following advantages: 1. Accurate and comprehensive monitoring, eliminating the drawbacks of manual dependence: By integrating a high-precision laser displacement sensor (accuracy ±0.1mm), tilt sensor and strain gauge combined stress monitoring module in the sensing layer, key parameters such as the travel displacement of the hanging baskets on both sides, spatial attitude, main truss stress and sling tension are captured in multiple dimensions. Compared with the qualitative judgment and single parameter monitoring of traditional manual visual control, it realizes the quantitative collection and comprehensive coverage of monitoring data, effectively avoids the risk of missed judgment caused by human subjective error, visual blind spots and environmental interference, and greatly improves the accuracy and reliability of the hanging basket operation status monitoring.

[0029] 2. Highly efficient and stable transmission, ensuring real-time response capability: The transmission layer adopts a "wired + wireless" hybrid transmission architecture, combining the short-range stable transmission advantages of industrial Ethernet with the long-range high-speed communication capabilities of 5G / 4G industrial routers. This strictly controls data transmission latency to within 0.5s, solving the problem of single transmission mode being susceptible to interference and transmission limitations in complex construction environments. It also ensures the rapid and distortion-free transmission of monitoring data, providing timely data support for subsequent real-time analysis, early warning, and braking, and ensuring the dynamic response efficiency of the entire system.

[0030] 3. Enhanced Risk Assessment Quality through Scientific and Intelligent Analysis: The data processing layer integrates preprocessing (filtering, denoising, and format conversion) at the on-site edge computing terminal with multi-parameter weighted algorithms to quickly calculate displacement and velocity differences and determine the equilibrium state by combining attitude parameters. Coupled with dynamic threshold optimization in the back-end monitoring center, this avoids misjudgments caused by a single data dimension and achieves accurate adaptation of thresholds to construction conditions, design loads, and historical data. This significantly improves the scientific rigor, timeliness, and accuracy of equilibrium state assessment, laying a solid foundation for the precise triggering of tiered prevention and control measures.

[0031] 4. Highly efficient tiered prevention and control, balancing safety and construction efficiency: The tiered response mechanism of the early warning and braking layer ensures timely handling by operators in the event of minor imbalances through the first-level early warning mode of "audio-visual warning + mobile terminal push," avoiding excessive braking that could affect the construction progress. The upgraded second-level early warning mode, which combines audio-visual warning with electromagnetic brake / hydraulic lock linkage emergency braking, quickly cuts off the source of danger in the event of major risks, achieving "gradient prevention and control, precise handling." This maximizes the safety of construction personnel and the stability of equipment, completely solving the drawbacks of traditional monitoring response delays and reliance on manual braking.

[0032] 5. System Iteration and Optimization to Enable Subsequent Engineering Improvements: The historical data storage and retrospective analysis functions of the back-end monitoring center can accurately assess the stability of the hanging basket operation, locate weak links in monitoring, and provide detailed data support for subsequent construction of different beam segments, adjustment of monitoring parameters under different working conditions, threshold optimization, and scheme iteration. This enables the system to have the ability to continuously adapt to construction needs, not only providing safety assurance for the current project, but also promoting the long-term improvement of continuous beam construction monitoring technology, combining immediate practicality with long-term application value.

[0033] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, the preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings. Attached Figure Description

[0034] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show a certain embodiment of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 is a schematic diagram of the principle framework of the present invention. Detailed Implementation

[0036] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0037] First, a monitoring system covering the sensing layer, transmission layer, data processing layer, and early warning and braking layer was deployed. The sensing layer was precisely deployed at key locations on the hanging basket to collect the displacement, speed, and attitude parameters of the hanging baskets on both sides. Then, an early warning threshold including the initial warning threshold for hanging basket imbalance and a braking threshold including the emergency control threshold were set. During the movement of the hanging basket, the sensing layer collected various monitoring parameters in real time and transmitted them to the data processing layer through the transmission layer. The data processing layer preprocessed and fused the received monitoring data, calculated the difference in displacement and speed between the two hanging baskets, and judged the balance state of the hanging basket by combining the hanging basket attitude parameters. Finally, based on the judgment results, corresponding control measures were implemented: if the monitoring indicators did not exceed the early warning threshold, monitoring continued; if they exceeded the early warning threshold but did not reach the braking threshold, a first-level early warning was initiated; if the braking threshold was reached, a second-level early warning was initiated and an emergency braking was triggered to force the hanging basket to stop moving. This achieved real-time full-process control of the hanging basket operation risk. Through precise data collection, scientific analysis, and hierarchical control, the risk of hanging basket imbalance can be warned in advance, dangerous working conditions can be avoided in time, construction safety and hanging basket operation stability can be effectively guaranteed, while improving construction efficiency and reducing losses caused by safety accidents.

[0038] In step S1, strain gauges are first precisely deployed to the key stress-bearing sections of the main truss of the hanging basket and the core force-transmitting parts of the slings, ensuring close contact between the strain gauges and the component surfaces to accurately capture stress deformation. Then, a connection is established between the strain gauges and the data acquisition module via wires. When the main truss experiences stress changes due to load during the hanging basket's movement, and the slings deform under tension, the strain gauges convert these mechanical deformations into corresponding electrical signals. The data acquisition module receives these electrical signals in real time and performs signal amplification, filtering, analog-to-digital conversion, and other processing, ultimately generating stress parameters for the main truss and tension parameters for the slings that can be used for subsequent analysis. This workflow relies on the combined structure of strain gauges and the data acquisition module. The strain gauges possess high sensitivity and miniaturization characteristics, making them adaptable to various applications. The complex structural layout of the hanging basket enables precise monitoring of key stress points. The coordinated operation of the data acquisition module and strain gauges ensures the stability and timeliness of the conversion of mechanical parameters into electrical signals and subsequent processing. This fills the gap in sensing the internal stress state of a structure by monitoring only displacement and attitude. It allows the sensing layer to comprehensively acquire external attitude and internal stress data of the hanging basket, providing more comprehensive basic data support for subsequent equilibrium state assessment. This effectively avoids the risk of missed detection caused by only monitoring the external state and ignoring internal stress anomalies. At the same time, the combined structure has the characteristics of flexible deployment and strong adaptability, which can meet the monitoring needs of different types of hanging baskets and complex construction environments, improving the overall reliability and comprehensiveness of the sensing layer's monitoring.

[0039] In step S1, based on the monitoring requirements of the hanging basket movement, laser displacement sensors with a monitoring accuracy of no less than ±0.1mm are precisely deployed at key locations that can clearly capture the movement trajectories of the hanging baskets on both sides. Simultaneously, tilt sensors are installed at representative locations on the main frame of the hanging basket to ensure a comprehensive reflection of its spatial attitude. After the equipment installation and debugging are completed, during the movement of the hanging basket, the laser displacement sensors continuously emit laser signals and receive reflected signals. By calculating the laser propagation time difference, the real-time movement displacement data of the hanging baskets on both sides is accurately calculated. The tilt sensors simultaneously sense changes in the spatial attitude of the hanging basket, collecting horizontal tilt data and vertical deflection data in real time. The displacement and attitude data collected by both types of sensors are synchronously aggregated at the data output end of the sensing layer, laying the foundation for subsequent transmission to the data processing layer. The core advantage of this workflow is: the laser displacement sensor... With its ±0.1mm high-precision characteristics, it completely breaks through the limitations of insufficient accuracy in traditional displacement monitoring methods. It can accurately capture minute displacement differences between the two hanging baskets, providing reliable data support for judging the synchronization of movement. The tilt sensor realizes the synchronous acquisition of the horizontal tilt angle and vertical deflection of the hanging basket, comprehensively covering the core dimensions of hanging basket attitude monitoring, avoiding misjudgment of state caused by monitoring a single attitude parameter. The coordinated deployment of the two types of sensors enables the perception layer to acquire key motion parameters of the hanging basket during movement in multiple dimensions and with high precision. At the same time, the automated acquisition mode of the sensors does not require manual intervention, effectively avoiding the subjective errors and lag of manual monitoring. It is suitable for the long-term stable monitoring needs in the complex environment of continuous beam construction, providing high-precision and high-reliability basic data guarantee for subsequent judgment of the hanging basket balance state, and greatly improving the initial data quality of the entire monitoring system.

[0040] Step S1 first completes the deployment of the "wired + wireless" hybrid transmission architecture. An industrial Ethernet wired transmission link is established to cover the short-range data transmission range between the sensing layer and the field data processing terminal. Simultaneously, a 5G / 4G industrial router is configured to build a wireless transmission link, used to connect the field terminal with the remote back-end monitoring center for long-range data interaction. During the operation of the monitoring system, the transmission layer intelligently determines the transmission path of the monitoring data output by the sensing layer. For short-range data between the sensing layer and the field processing terminal, it is transmitted directly through the industrial Ethernet link. For long-range data that needs to be uploaded to the remote back-end, it switches to the 5G / 4G industrial router wireless link for transmission. Throughout the process, the data transmission latency is strictly controlled within 0.5 seconds to ensure efficient data delivery to the corresponding data processing node. The "wired + wireless" hybrid transmission mode... This approach breaks through the limitations of single transmission methods. The high stability and high transmission rate of industrial Ethernet ensure the continuity and anti-interference capabilities of short-distance data transmission, effectively addressing the interference of complex construction site environments on data transmission. 5G / 4G industrial routers, with their wide coverage and high bandwidth, enable flexible and efficient long-distance data transmission, eliminating the need for laying lengthy wired links and reducing construction and deployment costs. Meanwhile, the low transmission latency of ≤0.5s ensures the real-time nature of monitoring data, preventing delays in subsequent balance state analysis, early warning, and braking processes due to data lag. The synergistic effect of these three transmission characteristics ensures the stability and flexibility of data transmission, as well as transmission efficiency, providing critical link support for the real-time operation of the entire monitoring system. At the same time, it adapts to the transmission needs of different construction scenarios, improving the system's environmental adaptability.

[0041] Step S1 first completes the collaborative deployment and communication link establishment between the on-site edge computing terminal and the back-end monitoring center to ensure smooth data interaction between the two. During system operation, monitoring data transmitted from the transmission layer first accesses the on-site edge computing terminal, which prioritizes data preprocessing to remove interference noise, standardize data formats, and clean the data. After data purification, the processed monitoring data is compared in real-time based on preset thresholds to quickly determine if the hanging basket's operating status is abnormal. Simultaneously, the preprocessed data and threshold comparison results are uploaded to the back-end monitoring center. Upon receiving the data, the back-end monitoring center classifies, stores, and archives all monitoring data. Furthermore, it visually presents data trends and the hanging basket's operating status through a graphical interface, facilitating real-time monitoring by staff. The preset thresholds are then optimized and adjusted based on actual construction needs, and the optimized thresholds are fed back to the on-site edge computing terminal to form a data processing system. The system operates within a closed-loop data processing flow. Adopting a layered processing architecture of "on-site edge + back-end center," the localized data preprocessing and real-time threshold comparison at the on-site edge computing terminal significantly reduces data transmission pressure, avoids the latency issues of centralized processing, and ensures the real-time nature of status determination. This provides time assurance for rapid risk response. The professional data storage function of the back-end monitoring center enables long-term retention of monitoring data, facilitating subsequent traceability and analysis. Visualization lowers the barrier to data interpretation and improves the efficiency of construction personnel in controlling the hanging basket's operating status. Threshold optimization and adjustment functions allow the system to adapt to the needs of different construction stages, enhancing the flexibility and adaptability of the monitoring scheme. The collaborative operation of these two aspects balances the efficiency of real-time on-site processing with the professionalism and systematic nature of back-end management, significantly improving the overall efficiency and quality of data processing and providing core support for the accurate operation of the entire monitoring system.

[0042] In step S5, the deployment and debugging of the audible and visual warning device, the mobile terminal communication module for construction personnel, and the electromagnetic brake / hydraulic lock are completed first to ensure smooth signal linkage between each device and the data processing layer. When the data processing layer determines that the monitoring index exceeds the warning threshold but does not reach the braking threshold, the first-level warning process is immediately triggered. The system simultaneously sends a start command to the audible and visual warning device, causing it to emit a standardized audible and visual warning signal to remind the on-site construction personnel. At the same time, the warning information, including the warning type and risk location, is accurately pushed to the mobile terminals of relevant construction personnel through the mobile terminal communication module. When the data processing layer determines that the monitoring index reaches the braking threshold, the second-level warning process is immediately initiated. On the one hand, a signal is sent to the audible and visual warning device to upgrade the strength and frequency of the audible and visual warning signal to enhance the on-site warning effect. On the other hand, a signal is simultaneously sent to the electromagnetic brake or hydraulic lock of the hanging basket traveling drive system. The linkage command triggers an emergency braking action, forcing the hanging basket to stop moving. The core advantages of this workflow are: adopting a tiered early warning response mechanism, the first-level early warning uses a dual reminder mode of "on-site audible and visual warning + mobile terminal push" to ensure that construction personnel can accurately know about minor imbalance risks at the first time and intervene in a timely manner to prevent the risks from escalating. The second-level early warning, through the coordinated action of upgraded warning signals and linkage emergency braking, quickly cuts off the source of danger when facing major overturning risks, maximizing the safety of personnel and equipment. At the same time, the tiered response mode avoids the impact of excessive braking on construction efficiency in the case of minor risks, achieving a balance between safety control and construction efficiency. In addition, the automated linkage response of each early warning device completely eliminates the lag and uncertainty of manual intervention, greatly improving the timeliness and reliability of early warning response, and providing key guarantees for the precise control of risks in the operation of the hanging basket.

[0043] In step S2, based on the structural parameters and material properties of the hanging basket, professional structural mechanics calculations are first performed. By simulating the equilibrium limit state of the hanging basket under different stress conditions, the initial benchmark values ​​of the warning threshold and braking threshold are determined. Subsequently, actual working condition parameters at each stage of continuous beam construction (such as beam segment pouring progress, construction load distribution, etc.), hanging basket design load standards, and historical monitoring data accumulated from similar past constructions or the early stages of this project are collected to establish a threshold optimization database. During the operation of the monitoring system, real-time construction data is continuously compared and analyzed with the database information, and the threshold parameters are dynamically adjusted to ensure that the thresholds always adapt to the current construction scenario. The structural mechanics calculations of the hanging basket are then used to further refine the calculations. The initial threshold was determined based on this, ensuring its scientific validity and theoretical rationality, thus guaranteeing the reliability of the equilibrium state judgment from the root. The dynamic optimization mode, which combines construction conditions, design loads, and historical data, breaks the limitations of fixed thresholds and effectively avoids the problem of delayed early warnings or false triggers caused by threshold mismatch due to changes in construction scenarios. This allows the threshold to accurately meet the actual needs of different construction stages, improving the accuracy of equilibrium state evaluation and providing a reliable basis for the reasonable triggering of subsequent graded early warning, emergency braking, and other prevention and control measures. At the same time, the dynamic optimization feature enhances the monitoring system's adaptability to complex construction environments, further ensuring the safety and stability of the hanging basket construction.

[0044] The detailed workflow of data processing in step S4 is as follows: First, the raw monitoring data transmitted to the data processing layer is preprocessed. This involves filtering out noise signals generated by electromagnetic interference and mechanical vibration in the construction environment, followed by denoising to further purify the data and eliminate invalid errors. Finally, format conversion is performed to unify the heterogeneous data collected by different sensors into a standardized format to meet subsequent analysis needs. After preprocessing, a multi-parameter weighted algorithm is initiated for fusion analysis. First, reasonable weighting percentages are set based on the importance of displacement difference, velocity difference, and attitude parameters in the assessment of the hanging basket's balance state. Then, the standardized displacement difference, velocity difference, and attitude parameters are substituted into the algorithm model for weighted calculation and comprehensive assessment, ultimately outputting the hanging basket's actual... The results of the balance state judgment; the combination of preprocessing such as filtering, denoising and format conversion effectively improved the purity and standardization of the original monitoring data, avoiding the influence of interference data on subsequent analysis results, and laying a high-quality data foundation for accurate judgment of the balance state; the application of multi-parameter weighted algorithm broke through the limitations of single-parameter analysis. By scientifically allocating the weights of each parameter, it fully considered the different degrees of influence of displacement difference, velocity difference and attitude parameters on the balance state of the hanging basket, realizing the deep integration and comprehensive evaluation of multi-dimensional data, greatly improving the scientificity, comprehensiveness and accuracy of the balance state judgment, effectively avoiding the risk of misjudgment caused by the deviation of a single parameter, and providing reliable analytical support for the accurate triggering of subsequent graded early warning and prevention and control measures.

[0045] In step S6, after the hanging basket completes a single travel operation, historical monitoring data for the entire travel process is retrieved from the backend monitoring center of the data processing layer. This includes core parameter data such as displacement, velocity, attitude, and stress. Subsequently, this data undergoes systematic retrospective analysis and multi-dimensional analysis. By extracting data features, identifying abnormal data nodes, and analyzing parameter change trends, the operational stability of the hanging basket during its travel is accurately assessed, and potential risk points and weaknesses in the monitoring process are located. Finally, based on the analysis results and assessment conclusions, optimization suggestions for the monitoring scheme are formulated, providing direct guidance for subsequent adjustments to monitoring parameters, equipment deployment optimization, and threshold correction under different beam segment construction and working conditions. Data support: Through in-depth retrospective analysis of historical monitoring data, the limitations of traditional monitoring that only focuses on real-time status are overcome. This enables post-event review and improvement of the hanging basket's operating status. It can not only accurately assess the stability of a single trip, but also continuously optimize subsequent monitoring plans through accumulated analysis results. This allows the monitoring system to constantly adapt to changes in construction needs, improve the accuracy of risk identification and the pertinence of prevention and control measures. At the same time, the retrospective application of historical data also provides quantitative evidence for the accumulation of construction experience and technical improvement, avoiding the subjectivity and uncertainty of relying on human experience judgment. This further strengthens the closed-loop management capability of the entire monitoring system and provides strong support for the long-term safety guarantee of continuous beam construction.

[0046] The detailed workflow of the real-time monitoring system for the operation risk of the construction hanging basket is as follows: First, the entire system is deployed. The laser displacement sensor, tilt sensor, strain gauge, and data acquisition module combined with the stress monitoring module of the sensing layer are precisely installed at key locations on the hanging basket. A hybrid wired + wireless transmission link (short-range industrial Ethernet, long-range 5G / 4G industrial router) is established at the transmission layer. The deployment and debugging of the field edge computing terminal and the back-end monitoring center at the data processing layer, as well as the linkage debugging of various devices in the early warning and braking layer, are completed. Simultaneously, the initial values ​​of the early warning threshold and braking threshold are determined through structural mechanical calculations of the hanging basket and entered into the system. During the movement of the hanging basket, all sensors in the sensing layer work synchronously, with the laser displacement sensor... The system collects the travel displacement of the hanging baskets on both sides with an accuracy of no less than ±0.1mm. Tilt sensors collect the horizontal tilt angle and vertical deflection, while a stress monitoring module collects the main truss stress and sling tension. All monitoring data is transmitted to the data processing layer via a distance-adapted transmission link, with transmission delay strictly controlled to ≤0.5s. The data processing layer first performs filtering, noise reduction, and format conversion preprocessing on the data by the on-site edge computing terminal. Then, it calculates the displacement and velocity differences between the hanging baskets on both sides. A multi-parameter weighted algorithm combined with attitude parameters is used to determine the equilibrium state and compare it in real-time with a preset threshold. The background monitoring center simultaneously completes data storage and visualizes the operational status. Based on the comparison results, the early warning and braking layer executes corresponding measures: monitoring... When the indicator exceeds the warning threshold but does not reach the braking threshold, an audible and visual warning is activated and a warning message is pushed to the construction personnel's mobile terminals; when the braking threshold is reached, the audible and visual warning signal is upgraded and the electromagnetic brake or hydraulic lock is activated to perform emergency braking and force the hanging basket to stop; after the hanging basket completes its movement, the background monitoring center performs retrospective analysis of historical monitoring data to evaluate operational stability, and dynamically optimizes the threshold based on the continuous beam construction conditions, hanging basket design load, and historical data, providing data support for the optimization of subsequent construction monitoring schemes; the core advantages of this system are: through multiple types of high-precision sensors in the sensing layer, it achieves accurate acquisition of multi-dimensional core parameters of hanging basket operation, breaking through the limitations of traditional single-parameter monitoring; and it uses a hybrid "wired + wireless" transmission. The system combines stability and flexibility, with low-latency transmission ensuring real-time data transmission and laying the foundation for rapid response. The data processing layer's "on-site edge computing + back-end central control" architecture balances the real-time nature of equilibrium state judgment with the professionalism of data management, while multi-parameter weighted algorithms enhance the scientific rigor and accuracy of equilibrium assessments. A collaborative mechanism of tiered early warning and emergency braking enables gradient risk control, balancing construction safety and efficiency. Dynamic threshold optimization and historical data backtracking analysis capabilities give the system the ability to continuously adapt to construction needs, completely eliminating reliance on manual experience and significantly improving the safety and quality of hanging basket construction, while also meeting the long-term stable monitoring requirements of complex construction environments.

[0047] Finally, several points should be noted: First, in the description of this application, it should be noted that, unless otherwise specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly, and can refer to mechanical or electrical connections, or internal connections between two components, or direct connections. Terms such as "upper," "lower," "left," and "right" are only used to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may change. Second, the accompanying drawings of the embodiments disclosed in this invention only involve structures relevant to the embodiments disclosed in this invention; other structures can refer to common designs. In the absence of conflict, the same embodiment and different embodiments of this invention can be combined with each other. Finally, the above descriptions are merely preferred embodiments of this invention and are not intended to limit the invention. It should be pointed out that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of this invention, and these improvements and modifications should also be considered within the scope of protection of this invention.

Claims

1. A method for real-time monitoring of operational risks of construction hanging baskets, characterized in that, Includes the following steps: S1. Deploy a monitoring system, which includes a sensing layer, a transmission layer, a data processing layer, and an early warning and braking layer. The sensing layer is deployed at key locations on the hanging basket to collect the traveling displacement, traveling speed, and hanging basket attitude parameters of both sides. S2. Set balance state evaluation thresholds, including an early warning threshold and a braking threshold. The early warning threshold is the initial warning threshold for hanging basket imbalance, and the braking threshold is the emergency control threshold for hanging basket imbalance. S3. During the hanging basket's movement, monitoring parameters are collected in real time through the sensing layer and transmitted to the data processing layer via the transmission layer. S4. The data processing layer preprocesses and fuses the monitoring data, calculates the difference in traveling displacement and speed between the two sides of the hanging basket, and determines the balance state of the hanging basket based on the hanging basket attitude parameters. S5. Execute corresponding control measures based on the balance state judgment results: if the monitoring indicators do not exceed the early warning threshold, continue monitoring. If the monitored indicators exceed the warning threshold but do not reach the braking threshold, a Level 1 warning is activated; if the monitored indicators reach the braking threshold, a Level 2 warning is activated and emergency braking is triggered, forcing the basket to stop moving.

2. The method for real-time monitoring of operational risks of construction hanging baskets according to claim 1, characterized in that, In step S1, the sensing layer also includes a stress monitoring module for collecting the stress parameters of the main truss of the hanging basket and the tension parameters of the sling. The stress monitoring module adopts a combination structure of strain gauge and data acquisition module.

3. The method for real-time monitoring of operational risks of construction hanging baskets according to claim 1, characterized in that, In step S1, the displacement monitoring of the sensing layer uses a laser displacement sensor with a monitoring accuracy of not less than ±0.1mm; the attitude monitoring uses a tilt sensor to collect the horizontal tilt angle and vertical deflection parameters of the hanging basket.

4. The method for real-time monitoring of operational risks of construction hanging baskets according to claim 1, characterized in that, In step S1, the transmission layer adopts a hybrid wired and wireless transmission mode. Short-range data is transmitted through industrial Ethernet, and long-range data is transmitted through 5G / 4G industrial routers. The data transmission delay is ≤0.5s.

5. The method for real-time monitoring of operational risks of construction hanging baskets according to claim 1, characterized in that, In step S1, the data processing layer includes an on-site edge computing terminal and a back-end monitoring center; the on-site edge computing terminal is used for data preprocessing and real-time threshold comparison, and the back-end monitoring center is used for data storage, visualization, and threshold optimization adjustment.

6. The method for real-time monitoring of operational risks of construction hanging baskets according to claim 1, characterized in that, In step S5, the first-level warning includes activating the audible and visual warning device and pushing warning information to the mobile terminal of the construction personnel; the second-level warning includes upgrading the audible and visual warning signal and simultaneously linking the electromagnetic brake or hydraulic lock of the hanging basket traveling drive system to perform emergency braking.

7. The method for real-time monitoring of operational risks of construction hanging baskets according to claim 1, characterized in that, In step S2, the equilibrium state evaluation threshold is determined by structural mechanics calculation of the hanging basket and dynamically optimized by combining the continuous beam construction conditions, hanging basket design load and historical monitoring data.

8. The method for real-time monitoring of operational risks of construction hanging baskets according to claim 1, characterized in that, In step S4, the data preprocessing includes filtering, denoising and format conversion. The fusion analysis adopts a multi-parameter weighted algorithm, which combines the weight ratios of displacement difference, velocity difference and attitude parameters to determine the balance state.

9. The method for real-time monitoring of operational risks of construction hanging baskets according to claim 1, characterized in that, It also includes step S6: After the hanging basket has completed its travel, the historical monitoring data is retrospectively analyzed to assess the stability of the hanging basket operation and provide data support for optimizing the monitoring plan for subsequent construction.

10. A system employing the real-time monitoring method for the operational risk of construction hanging baskets according to any one of claims 1-9, characterized in that, The system comprises a sensing layer, a transmission layer, a data processing layer, and an early warning and braking layer. These layers work together to achieve real-time monitoring and control of operational risks in the hanging basket. The sensing layer, deployed at key locations on the hanging basket, includes laser displacement sensors, tilt sensors, and a stress monitoring module. The laser displacement sensors collect the travel displacement of the hanging baskets on both sides, with a monitoring accuracy of no less than ±0.1mm. The tilt sensors collect the horizontal tilt angle and vertical deflection of the hanging basket. The stress monitoring module uses a combination of strain gauges and a data acquisition module to collect the stress parameters of the main truss and the tension parameters of the slings. The transmission layer employs a hybrid wired and wireless transmission mode. Short-range data is transmitted via industrial Ethernet, while long-range data is transmitted via 5G / 4G industrial routers, with a data transmission delay of ≤0.5s. This layer transmits the monitoring data collected by the sensing layer to the data processing layer. The data processing layer includes a field edge computing terminal and a back-end monitoring center. The field edge computing terminal performs preprocessing on the monitoring data, including filtering, noise reduction, and format conversion. It can also calculate the travel displacement difference and speed difference between the hanging baskets on both sides and employ multiple... A parameter-weighted algorithm combines attitude parameters to determine the balance state of the hanging basket, while simultaneously achieving real-time comparison with preset thresholds. The back-end monitoring center stores monitoring data, visualizes the hanging basket's operating status, and dynamically optimizes and adjusts the thresholds. The early warning and braking layer includes an audible and visual early warning device, a mobile terminal communication module for construction personnel, and an emergency braking execution component, which is either an electromagnetic brake or a hydraulic lock. When a monitored indicator exceeds the early warning threshold but does not reach the braking threshold, the audible and visual early warning device is activated, and early warning information is pushed through the mobile terminal communication module. When the monitored indicator reaches the braking threshold, the audible and visual early warning signal is upgraded, and the emergency braking execution component, in conjunction with the hanging basket's travel drive system, performs emergency braking, forcing the hanging basket to stop. The preset thresholds include both early warning and braking thresholds, both determined through hanging basket structural mechanics calculations and dynamically optimized based on continuous beam construction conditions, hanging basket design loads, and historical monitoring data. The back-end monitoring center can also perform retrospective analysis of historical monitoring data to assess the hanging basket's operational stability, providing data support for optimizing subsequent construction monitoring schemes.

Images