Bridge construction protection device and protection system

Abstract

The invention provides a bridge construction protection device and system, and relates to the technical field of bridge construction.The bridge construction protection device comprises a sliding table and a supporting frame, a sliding block is slidably connected into the sliding table, a sliding rail is arranged at the bottom in the sliding table, a sliding opening is formed in the bottom of the sliding block, the sliding opening and the sliding rail are matched with each other, and vertical main rods are arranged at the top of the sliding block in a strip-shaped array mode; according to the bridge construction protection device and system, compared with the prior art, the assembling efficiency, the protection capacity and the data processing performance are remarkably improved, the bridge construction protection device and system have the advantages that the bridge construction protection device and system are simple in structure and convenient to use, and the service life of the bridge construction protection device and system is prolonged. The problems that an existing device structure is inconvenient to assemble, lacks a prevention function and is insufficient in monitoring precision and data integration capacity are solved. According to the protection device, modular design is adopted, and rapid assembly and flexible movement are achieved through sliding connection of the sliding tables, the sliding blocks and the sliding rails and an inserted connection structure of the vertical main rods and the transverse main rods.

Description

Technical Field

[0001] This invention relates to the field of bridge construction technology, specifically to a bridge construction protection device and protection system. Background Technology

[0002] Bridge construction safety technology is a key technology in civil engineering safety management, widely used in mountainous bridges, urban viaducts, and coastal bridge construction sites to prevent landslides, intercept objects thrown from heights, and cope with strong wind loads, ensuring the safety of construction personnel and equipment. According to industry research, users' core requirements for bridge construction safety devices include high-precision object positioning (positioning error less than 0.5 meters), real-time landslide monitoring (deformation rate detection accuracy of 0.01 mm / s), adaptability to complex environments (wind speeds of 5 to 25 m / s, vibration frequencies of 1 to 6 Hz), rapid early warning response (less than 2 seconds), and data reliability (false alarm rate less than 5%). Modern bridge construction scenarios place increasingly higher demands on the performance of safety devices. For example, mountainous construction requires real-time monitoring of deformation rates of 0.1 to 0.2 mm / s to warn of landslides, urban viaducts require accurate positioning of objects thrown from heights to determine responsibility, and coastal construction requires maintaining device stability in wind speeds of 20 to 25 m / s. However, existing bridge construction safety technologies face the following key technical challenges:

[0003] The equipment structure is inconvenient for assembly: Existing protective devices mostly use fixed connection methods, such as welding or a large number of bolts, making the assembly process complex and time-consuming. It typically takes 2 to 3 hours to complete the assembly of a single section, making it difficult to quickly adapt to different construction area lengths (10 to 100 meters). Traditional devices lack modular design; the protective netting and support structure cannot be flexibly disassembled or moved, requiring reconstruction when adjusting the construction area, increasing construction time and labor costs. For example, the support rods and protective netting of existing devices are connected by fixed bolts, requiring specialized tools for disassembly, which is inefficient and cannot meet the needs of rapid deployment. Furthermore, the device fixing methods (such as steel piles directly driven into the foundation) are difficult to adapt to complex geological conditions in mountainous areas or the spatial constraints of urban overpasses, resulting in poor installation adaptability, especially inefficient in temporary construction sites or dynamically adjusted scenarios.

[0004] Existing equipment lacks preventative capabilities: Current protective devices primarily rely on passive protection methods, such as fixed protective nets to intercept objects thrown from heights or steel structures to resist falling rocks, lacking active monitoring and early warning functions. Traditional devices are not equipped with integrated protection systems and cannot collect and analyze deformation data (accuracy less than 0.05 mm), wind speed data (accuracy less than 0.5 m / s), or tension data in real time, resulting in an inability to predict landslide risks (deformation rate 0.15 mm / s) or wind load risks (wind speed 20 to 25 m / s). For example, existing devices cannot generate early warning signals in high-vibration environments (frequency 5 to 6 Hz), requiring manual inspection to confirm risks, with response times as long as 5 to 10 seconds, far exceeding the industry requirement of 2 seconds. Devices lacking preventative capabilities can only passively respond in emergency landslide events, unable to provide advance warnings to construction personnel to evacuate or reinforce the devices, increasing safety hazards.

[0005] Insufficient monitoring accuracy and data integration capabilities: Existing protective devices rely on single sensors (such as displacement sensors with an accuracy of 0.05 mm) or low-resolution cameras (resolution below 1920×1080 pixels, frame rate below 15 frames per second), which is insufficient to meet the requirements of high-precision monitoring. In mountainous construction, traditional displacement sensors exhibit deformation rate detection errors of up to 0.03 mm per second when the vibration frequency exceeds 5 Hz, failing to meet the industry requirement of 0.01 mm per second. Positioning errors for objects thrown from heights reach 1 to 2 meters, making it difficult to support accurate liability determination. Furthermore, existing devices lack a data integration system, making it impossible to simultaneously process multi-source data (such as deformation, wind speed, and humidity). Data synchronization deviations often exceed 0.2 seconds, resulting in incomplete risk assessments and warning signal generation delays of 3 to 5 seconds. Traditional devices lack data sharing mechanisms, preventing the transmission of risk information to external emergency systems, limiting cross-site collaboration capabilities, and lacking data recording functions, making it difficult to ensure data integrity and prone to interruption during system malfunctions.

[0006] Therefore, a bridge construction protection device and system are needed to solve the above problems. Summary of the Invention

[0007] Technical problems to be solved

[0008] To address the shortcomings of existing technologies, this invention provides a bridge construction protection device and system, which solves the problems mentioned in the background section.

[0009] Technical solution

[0010] To achieve the above objectives, the present invention provides the following technical solution: a bridge construction protection device, comprising a sliding platform and a support frame. A slider is slidably connected inside the sliding platform. A slide rail is provided at the bottom of the sliding platform. A sliding opening is provided at the bottom of the slider. The sliding opening and the slide rail are mutually compatible. Vertical main rods are arranged in a strip array at the top of the slider. The vertical main rods and the slider are interlocked. Horizontal uprights are interlocked between the vertical main rods. The vertical main rods and the horizontal uprights together form a support frame. A protective shield is snapped onto the top of the support frame. A sleeve is welded to the bottom of the protective shield. The sleeve and the vertical main rod at the top of the support frame are interlocked. An analyzer is equipped on the top of the protective shield. High-altitude monitoring cameras are installed on the front and back sides of both sides of the top of the protective shield. Pull ropes are connected to the outer sides of the sliding platform. A cone is connected to the end of each pull rope. The cone is driven into the interior of a nearby mountain. A displacement sensor is installed inside the cone. The protective shield is equipped with an alarm device.

[0011] A bridge construction protection system corresponding to the aforementioned bridge construction protection device includes a protection and prevention system embedded within an analyzer. This system comprises a data integration subsystem, an anomaly analysis subsystem, a risk warning subsystem, a strategy generation subsystem, a feedback optimization subsystem, a user interaction subsystem, and an environmental monitoring subsystem. The data integration subsystem includes a displacement data acquisition module, an image data acquisition module, and a data synchronization module. The anomaly analysis subsystem includes a parabolic positioning module, a deformation detection module, and an event correlation module. The risk warning subsystem includes a risk quantification module, a warning classification module, and a priority management module. The strategy generation subsystem includes a strategy formulation module, a strategy verification module, a strategy distribution module, and an alarm control module. The feedback optimization subsystem includes an effect evaluation module. The user interaction subsystem includes an information display module and a command input module. The environmental monitoring subsystem includes an environmental data acquisition module and a comprehensive analysis module.

[0012] Preferably, limit holes are provided on both sides of the slide table, and drive cylinder assemblies are installed on both sides of the slider. Limit telescopic rods are installed at the ends of the drive cylinder assemblies. The limit telescopic rods and limit holes are adapted to each other. A baffle is embedded in the front of the slide table. A cross slot is provided on the outside of the front of the slide table. A cross insert is provided on the outside of the back of the slide table. The cross insert and the cross slot are interlocked. The protective shield is connected in the middle by tenon and mortise. The protective shield includes a protective mesh layer, a protective soft plate and a protective base plate. The protective shield is assembled from the protective mesh layer, the protective soft plate and the protective base plate. The top of the protective mesh layer has a rectangular array of mesh holes.

[0013] The assembly method of the protective device is as follows: First, place the required number of sliding platforms on both sides of the construction site, and assemble the sliding platforms on both sides according to the required length of the construction site. Connect the cross slot on the front of one sliding platform with the cross insert on the back of the other sliding platform. By assembling the sliding platforms, a complete sliding rail assembly suitable for the required length of construction is formed, which facilitates the movement of the slider. The limiting telescopic rods on both sides of the slider are controlled to extend and retract by a drive cylinder group. When moving to the required position, the limiting telescopic rods are extended to insert into the corresponding limiting holes. When the slider moves to the construction position, the support frame is assembled. First, insert the two ends of the vertical main rods into the top of the sliders in the sliding platforms on both sides. Then, evenly insert the horizontal main rods between the vertical main rods. After the support frame is built, the protective shield is clipped onto the top of the support frame. The pull rope on the side of the sliding platform is used to further fix the sliding platform. The cone is driven into the mountain. The displacement sensor inside the cone is used to monitor the landslide. After the entire protective device consisting of the support frame and the protective shield is assembled for the first time, it can be moved directly by the slider. This allows for easy movement at any time and reduces construction time.

[0014] Preferably, the data integration subsystem includes a displacement data acquisition module, which collects deformation data, displacement data, and vibration frequency data from displacement sensors within the cone in real time, generating a displacement data packet containing timestamps, data types, and sensor numbers. The data integration subsystem also includes an image data acquisition module, which compresses the image data collected by the high-altitude monitoring camera to generate image data packets containing timestamps and camera numbers. Furthermore, the data integration subsystem includes a data synchronization module, which matches the displacement data packet and image data packet using timestamp alignment technology, discarding data with time deviations exceeding 0.1 seconds, and transmitting the data to the anomaly analysis subsystem via an encrypted controller area network bus protocol. The data utilization method is as follows: deformation data and vibration frequency data in the displacement data packet are used for landslide risk analysis and triggering alarm devices; image data packets are used to calculate the location of objects thrown from the height of the building to support liability determination; timestamps are used to ensure data synchronization; and sensor and camera numbers are used for data traceability. The control flow is: data acquisition, data compression, time alignment, and data transmission.

[0015] Preferably, the anomaly analysis subsystem includes a parabolic positioning module, which calculates the spatial coordinates and velocity vector of the parabolic object in the image data packet acquired by the high-altitude monitoring camera using an inter-frame pixel difference algorithm, generating a parabolic event record containing the parabolic position, timestamp, and trajectory number; the anomaly analysis subsystem includes a deformation detection module, which analyzes the deformation trend in the displacement data packet using a moving average algorithm, generating a deformation anomaly record containing the deformation rate, vibration frequency, and abnormal time; the anomaly analysis subsystem includes an event association module, which integrates the parabolic event record and the deformation anomaly record using time and space matching rules, generating an anomaly event report containing the event type, timestamp, and risk level, which is transmitted to the risk warning subsystem through a priority queue; the data utilization method is as follows: the spatial coordinates in the parabolic event record are used to generate a responsibility determination report, the deformation rate and vibration frequency in the deformation anomaly record are used for landslide risk assessment and triggering alarm devices, and the timestamp and trajectory number are used for event tracing; the control flow is: data reception, parabolic positioning, deformation detection, event integration, and report transmission.

[0016] Preferably, the risk early warning subsystem includes a risk quantification module, which calculates the landslide risk value, wind load risk value, and protective device stability risk value using a weighted integral algorithm, with weights based on deformation rate, wind speed, and rope tension data. The risk early warning subsystem also includes an early warning classification module, which generates low-level, medium-level, and high-level early warning signals based on the risk values. Each signal includes a risk type, risk value, and source description. Furthermore, the risk early warning subsystem includes a priority management module, which determines the order of early warning signal pushes based on risk values ​​and construction progress, transmitting the signals to the strategy generation subsystem via a priority queue. Data utilization is as follows: deformation data from abnormal event reports is used for landslide risk quantification and triggering alarm devices; parabolic event data is used for liability determination analysis; wind speed and rope tension data are used for wind load and stability risk assessment; and historical risk data is used to calibrate weights. The control flow is: abnormal report reception, risk quantification, early warning classification, and signal push.

[0017] Preferably, the strategy generation subsystem includes a strategy formulation module, which generates an early warning strategy based on the advanced and intermediate early warning signals generated by the risk early warning subsystem. This strategy includes suggestions for determining liability for projectile falling objects, suggestions for suspending construction, suggestions for reinforcing guy ropes, and alarm device triggering commands. The strategy generation subsystem also includes a strategy verification module, which verifies the feasibility of the early warning strategy using a rule-based validation algorithm. Furthermore, the strategy generation subsystem includes a strategy distribution module, which transmits the early warning strategy to the user interaction subsystem via an encrypted wireless communication protocol. Finally, the strategy generation subsystem includes an alarm control module, which generates triggering commands based on the advanced early warning signals and transmits them to the alarm device via a signal line. The data utilization method is as follows: advanced early warning signals are used to generate alarm triggering commands and liability determination suggestions; intermediate early warning signals are used to generate construction adjustment suggestions; historical execution data is used to verify strategy feasibility; and deformation data is used to trigger the alarm device. The control flow is: early warning signal reception, strategy formulation, strategy verification, strategy distribution, and alarm triggering.

[0018] Preferably, the feedback optimization subsystem includes an effect evaluation module. This module receives staff instructions, early warning strategy execution results, and alarm device triggering records from the user interaction subsystem. It calculates the difference between the actual and expected effects using a deviation analysis algorithm, generates optimization parameters including sampling frequency adjustment values ​​and risk quantification weight update values, and transmits these parameters to the data integration subsystem and risk early warning subsystem via an internal communication bus. The data utilization method is as follows: early warning strategy execution results are used to evaluate the alarm device triggering effect; staff instructions are used to calibrate the optimization parameters; and cross-site data is used to improve system performance. The control flow is: execution result reception, effect evaluation, parameter generation, and parameter distribution.

[0019] Preferably, the user interaction subsystem includes an information display module, which receives the early warning strategy and parabolic position information transmitted by the strategy generation subsystem, and displays the early warning signal, parabolic trajectory, and deformation trend in the form of bar charts and line graphs on an LCD screen; the user interaction subsystem includes an instruction input module, which receives instructions input by staff through a touch screen, including confirming the early warning signal and adjusting the construction plan; the data utilization method is as follows: the early warning signal is used to prompt staff to take action, the parabolic position information is used to generate a responsibility determination report, and the alarm trigger record is used to evaluate the alarm effect; the control flow is: early warning strategy reception, information display, instruction input, and instruction transmission.

[0020] Preferably, the environmental monitoring subsystem includes an environmental data acquisition module, which collects environmental parameters through temperature sensors, humidity sensors, wind speed sensors, and rope tension sensors, generating an environmental data package containing timestamps and sensor numbers. The environmental monitoring subsystem also includes a comprehensive analysis module, which analyzes the changing trends of the environmental data package and historical deformation data using a moving average algorithm, generating a comprehensive risk report including landslide risk, wind load risk, and protective device stability risk. This report is transmitted to the risk warning subsystem via the controller local area network bus. The data utilization method is as follows: wind speed and tension data are used for wind load and stability risk analysis; temperature and humidity data are used to assist in landslide risk assessment; and the comprehensive risk report is used to optimize early warning classification and trigger alarm devices. The control flow is: environmental data acquisition, trend analysis, and data transmission.

[0021] Preferably, the protection and prevention system includes a data tracing module, which records historical data such as displacement data packets, image data packets, early warning strategies, projectile location information, and alarm trigger records using timestamps and hash verification to ensure the integrity of the projectile responsibility determination data; the protection and prevention system includes a fault switching module, which monitors the analyzer's operating status in real time and automatically switches to a backup computing node when an abnormality in data processing is detected; the protection and prevention system includes a data sharing module, which transmits early warning signals, projectile location information, and comprehensive risk reports to an external emergency system via an encrypted message queue telemetry transmission protocol; the data utilization method is as follows: projectile location information in the event log is used for responsibility determination, comprehensive risk reports are used for external emergency coordination, historical data is used for system performance analysis, and alarm trigger records are used to evaluate alarm effectiveness; the control flow is: data recording, anomaly detection, node switching, and data sharing, and the alarm device is an alarm.

[0022] Beneficial effects

[0023] This invention provides a bridge construction protection device and system. It has the following beneficial effects:

[0024] This invention provides a bridge construction protection device and system, which significantly improves assembly efficiency, protective capability, and data processing performance compared to existing technologies. It solves the problems of inconvenient assembly, lack of preventative functions, and insufficient monitoring accuracy and data integration capabilities of existing devices. The protective device of this invention adopts a modular design, achieving rapid assembly and flexible movement through sliding connections of sliding platforms, sliders, and rails, as well as plug-in structures of vertical and horizontal main rods. The assembly time for a single section is reduced to 0.5 hours, significantly lowering construction preparation costs compared to the 2-3 hours of assembly time in existing technologies. The protective shield is fixed to the top of the support frame via a snap-fit ​​method. Combined with the triangular support structure of the counterweight base and inclined steel cables, it enhances the stability of the device in complex geological conditions and wind speeds of 20-25 meters per second, adapting to the diverse needs of construction in mountainous areas, urban viaducts, and coastal areas. The modular design of the device supports rapid adjustment of construction area lengths from 10 to 100 meters, and disassembly and movement can be completed without special tools, significantly improving construction efficiency and adaptability.

[0025] This invention, by equipping a protective and preventative treatment system, achieves active monitoring and early warning functions, effectively solving the problem of existing devices relying solely on passive protection. The system integrates a data integration subsystem, an anomaly analysis subsystem, and a risk early warning subsystem. It utilizes an LVDT-1000 displacement sensor (accuracy 0.01 mm) to monitor the mountain deformation rate in real time (0.1 to 0.2 mm / s), and combines this with a moving average algorithm to detect anomalies in vibration frequencies from 1 to 6 Hz, generating deformation anomaly records. A HIKVISIONDS-2CD3T56G2-4IS high-altitude monitoring camera acquires image data at 30 frames per second, achieving parabolic positioning through an inter-frame pixel difference algorithm, reducing the positioning error to 0.4 meters, far superior to the 1 to 2 meters of existing technologies. A weighted integral algorithm integrates deformation, wind speed, and tension data to generate a landslide risk value (range 0 to 100). When the risk value exceeds 60, the SIREN-200 alarm device is triggered, reducing the response time to less than 1 second, significantly improving the timeliness of early warning compared to the 5 to 10 seconds of manual inspection response in existing technologies. The user interaction subsystem displays risk value bar charts and parabolic trajectory curves on an LCD screen, supporting staff to make quick decisions, effectively preventing landslides and object throwing incidents, and ensuring construction safety.

[0026] This invention improves monitoring accuracy and system reliability through multi-source data integration and collaborative processing, overcoming the limitations of insufficient data integration capabilities in existing technologies. The data integration subsystem synchronizes displacement and image data packets using timestamp alignment technology, controlling the deviation to within 0.1 seconds, significantly improving data consistency compared to the 0.2-second synchronization deviation of existing technologies. The environmental monitoring subsystem collects environmental parameters using a DS18B20 temperature sensor, a DHT22 humidity sensor, and an FS-100 wind speed sensor (accuracy 0.3 m / s), and generates a comprehensive risk report using a moving average algorithm, accurately assessing wind load and device stability risks, reducing the false alarm rate to below 5%, superior to the 15% of existing technologies. The data traceability module records all data and instruction history, ensuring the integrity of responsibility determination data; the data sharing module shares early warning signals with external emergency systems in real time through an encrypted message queue telemetry transmission protocol, enhancing cross-site collaboration capabilities. The fault switching module automatically switches to a backup computing node when an analyzer anomaly is detected, ensuring continuous system operation. These functions effectively solve the problems of lagging data processing and insufficient collaboration in existing technologies, providing efficient and reliable protection support for bridge construction. Attached Figure Description

[0027] Figure 1 This is a system flowchart of the present invention;

[0028] Figure 2 This is a system framework diagram of the present invention;

[0029] Figure 3 This is a structural diagram of the support frame assembly of the present invention;

[0030] Figure 4 This is an overall structural diagram of the present invention;

[0031] Figure 5 This is a schematic diagram of the slide assembly of the present invention;

[0032] Figure 6 This is a schematic diagram of the slider structure of the present invention;

[0033] Figure 7 This is a schematic diagram of the bottom of the protective shield of the present invention;

[0034] Figure 8 This is a diagram illustrating the structure of the protective shield of the present invention.

[0035] Legend:

[0036] 1. Slide table; 2. Slider; 3. Slide rail; 4. Limiting hole; 5. Support frame; 6. Vertical main rod; 7. Horizontal upright rod; 8. Cross slot; 9. Cross insert; 10. Sliding mouth; 11. Limiting telescopic rod; 12. Drive cylinder assembly; 13. Baffle; 14. Pull rope; 15. Anvil; 16. Protective shield; 17. High-altitude monitoring camera; 18. Analyzer; 19. Protective net layer; 20. Mesh; 21. Protective soft plate; 22. Protective base plate; 23. Hoop. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Specific Implementation Example 1:

[0039] like Figures 1 to 8 As shown, the bridge construction safety device works in concert with a sliding platform 1, a slider 2, a sliding rail 3, a support frame 5, a protective shield 16, a pull rope 14, a cone 15, an analyzer 18, a high-altitude monitoring camera 17, and an alarm device to ensure the safety of the construction site. The sliding platform 1 achieves horizontal movement of the device through the sliding connection of the sliding rail 3 and the slider 2, adapting to the dynamic needs of the bridge construction area. The support frame 5, composed of a vertical main rod 6 and a horizontal upright rod 7, provides robust support for the protective shield 16. The protective shield 16 is snapped onto the top of the support frame 5 to intercept objects thrown from a height, protecting construction personnel and equipment below. The pull rope 14 connects the sliding platform 1 and the cone 15. The cone 15 is driven into a mountainside fixing device with an embedded displacement sensor that monitors mountain deformation in real time, generating deformation data, displacement data, and vibration frequency data. The high-altitude monitoring camera 17 is installed on both sides of the top of the protective shield 16 to capture the trajectory of objects thrown from a height, generating image data for calculating the object's position. The alarm device is an audible and visual alarm, installed on the top of the protective shield 16 and connected to the analyzer 18 via a signal line. When the protection and prevention system detects a high risk of landslide, it triggers the audible and visual alarm, prompting construction personnel to evacuate immediately or take protective measures. The analyzer 18, as the core processing unit, runs the protection and prevention system, receives data from displacement sensors and cameras, and performs risk analysis, early warning generation, alarm control, and liability determination functions.

[0040] To enhance the stability of the support frame 5, a counterweight base and inclined stay cables are added to the device. The counterweight base, made of high-density concrete and weighing 500 kg, is bolted to the bottom of the slider 2, lowering the center of gravity of the support frame 5 and effectively resisting overturning forces when wind speeds exceed 20 m / s. The inclined stay cables are made of high-strength steel wire rope with a diameter of 10 mm, and both ends are connected to the adjacent vertical main poles 6 with high-strength fasteners to form a triangular support structure, enhancing the shear and overturning resistance of the support frame 5, making it particularly suitable for complex environments where mountain vibration frequencies exceed 5 Hz. The counterweight base and inclined stay cables, combined with the fixing effect of the rope 14, ensure the stability of the device under harsh weather or geological conditions.

[0041] The protective shield 16 consists of a three-layer structure: a protective mesh layer 19, a protective flexible plate 21, and a protective base plate 22, which are fixed together with adhesives and bolts. The protective mesh layer 19 uses high-strength stainless steel mesh with a mesh size 20 of 5 cm in diameter, intercepting projectiles larger than 5 cm in diameter while maintaining ventilation and light transmission, reducing the impact of wind loads on the device, and is suitable for high-wind-speed environments. The protective flexible plate 21 uses polyurethane cushioning material, is 2 cm thick, and has high elasticity, absorbing the impact energy of projectiles, protecting the structure below and personnel, and reducing the risk of impact damage. The protective base plate 22 uses an aluminum alloy plate, is 1 cm thick, providing rigid support to prevent deformation of the protective shield 16 under long-term use or repeated impacts, ensuring structural integrity. This three-layer design balances protective performance, lightweight design, and durability, adapting to the complex environment of bridge construction.

[0042] The protection and prevention system operates on analyzer 18. Through the collaborative efforts of a data integration subsystem, anomaly analysis subsystem, risk warning subsystem, strategy generation subsystem, feedback optimization subsystem, user interaction subsystem, and environmental monitoring subsystem, it achieves landslide early warning, high-altitude object throwing location, wind load and stability risk assessment, and alarm control. The data integration subsystem collects data from displacement sensors and high-altitude monitoring cameras 17, generating displacement data packets and image data packets. After timestamp alignment, these are transmitted to the anomaly analysis subsystem via an encrypted controller area network bus protocol. The anomaly analysis subsystem analyzes the trajectory of the thrown object and mountain deformation, generates anomaly event reports, and pushes them to the risk warning subsystem. The risk warning subsystem quantifies the risks of landslides, wind loads, and device stability, generates tiered warning signals, and transmits them to the strategy generation subsystem. The strategy generation subsystem formulates recommendations for determining responsibility for the thrown object, construction adjustment suggestions, and alarm trigger commands, transmitting them to the user interaction subsystem and alarm equipment. The user interaction subsystem displays warning signals and the location of the thrown object and receives instructions from staff. The feedback optimization subsystem analyzes the execution effect, generates optimization parameters, and updates system performance. The environmental monitoring subsystem collects environmental data, generates comprehensive risk reports, and assists in risk early warning.

[0043] The data utilization methods are clearly defined as follows: deformation and vibration frequency data in the displacement data package are used to analyze landslide risk and trigger alarm devices; image data packages are used to calculate the spatial coordinates of the parabolic object to support liability determination; wind speed and rope tension data in the environmental data package are used to assess wind load and device stability risk; temperature and humidity data assist in landslide risk analysis; historical data are used to calibrate risk weights and optimize sampling frequency; and early warning signals and parabolic position information are used to generate liability determination reports and prompt construction adjustments. The control flow includes the following steps: data acquisition, time alignment, anomaly analysis, risk quantification, early warning generation, strategy formulation, alarm triggering, user interaction, effect feedback, and environmental monitoring. The system records all data and instruction history through the data traceability module to ensure the integrity of liability determination data; the fault switching module monitors the operating status of the analyzer 18 and switches to the backup computing node in case of anomalies; the data sharing module shares early warning signals and risk reports with external emergency systems through an encrypted message queue telemetry transmission protocol.

[0044] The user interaction subsystem facilitates interaction with staff through an information display module and a command input module. The information display module presents the following on the LCD screen: landslide risk values ​​are displayed as a bar chart, ranging from 0 to 100, with risk levels indicated (low 0-30, medium 31-60, high 61-100); wind load risk values ​​and device stability risk values ​​are displayed as bar charts, indicating the source of wind speed and tension data; deformation trends are displayed as a curve graph, reflecting the rate of deformation over time; the parabolic trajectory is presented in three-dimensional coordinates (x, y, z), with an accuracy error of less than 0.5 meters, accompanied by a timestamp and trajectory number to assist in liability determination; alarm trigger records display the alarm trigger time and duration. The information display module synchronizes warning signals, parabolic trajectory locations, and alarm records to staff's mobile terminals via an encrypted wireless communication protocol, ensuring real-time notification. The command input module receives commands input by staff via a touchscreen, including confirming warning signals, suspending construction, reinforcing guy ropes, adjusting construction plans, or requesting external emergency support. Instructions are transmitted to the feedback optimization subsystem via a wireless communication protocol to optimize system parameters and record execution results. The user interaction subsystem ensures that staff can quickly obtain risk information and respond, supporting efficient liability determination and construction safety management. Specific Implementation Example 2:

[0046] like Figures 1 to 8 As shown, the following is a supplement to the hardware content in Example 1:

[0047] The hardware components of the bridge construction protection device include a sliding platform 1, a slider 2, a sliding rail 3, a support frame 5, a protective shield 16, a tension rope 14, a cone 15, an analyzer 18, a high-altitude monitoring camera 17, alarm equipment, a counterweight base, and inclined steel cables, as well as displacement sensors embedded in the cone 15 and temperature, humidity, wind speed, and tension sensors used in the environmental monitoring subsystem. These hardware components work together to collect environmental and structural data, supporting the protection and prevention system in performing functions such as landslide early warning, high-altitude object placement, wind load and stability risk assessment, and alarm control. The following details the model, installation method, and data acquisition method of each hardware component.

[0048] The displacement sensor uses an LVDT-1000 linear variable differential transformer sensor with a range of 0 to 50 mm, a resolution of 0.01 mm, and an operating temperature range of -20°C to 60°C, making it suitable for the harsh environments of bridge construction sites. The displacement sensor is embedded inside a cone 15, a 50 mm diameter, 1-meter long steel cone with a galvanized surface for corrosion protection. During installation, the cone 15 is driven 2 meters into the mountainside using a hydraulic pile driver to ensure direct contact between the sensor probe and the rock strata. The sensor is then fixed to the internal cavity of the cone 15 with threads, and the signal line extends from the top of the cone 15 and connects to the input port of the analyzer 18. The data acquisition method is as follows: the displacement sensor collects deformation data, displacement data and vibration frequency data at a basic sampling frequency of 5 times per second, and generates a displacement data packet containing timestamp, data type and sensor number. When the vibration intensity exceeds 5 Hz, the sampling frequency is dynamically adjusted to 10 times per second. The data is transmitted to the analyzer 18 through an encrypted controller local area network bus protocol. The power supply is provided by the analyzer 18, and the voltage is 24 volts DC.

[0049] The high-altitude monitoring camera 17 is a high-definition network camera, model HIKVISION DS-2CD3T56G2-4IS, with a resolution of 2560×1440 pixels, a frame rate of 30 frames per second, infrared night vision capability, a 100-degree field of view, and an IP67 protection rating, suitable for outdoor high humidity and dust environments. The camera is installed on the front and back of the top sides of the protective shield 16, secured by stainless steel brackets. The bottom of the brackets is welded to the aluminum alloy protective base plate 22 of the protective shield 16. The camera lens faces upwards towards the construction area, covering a 50-meter range of parabolic trajectories. During installation, the camera is bolted to the brackets, and signal and power cables are routed along the edge of the protective shield 16, connecting to the video input port of the analyzer 18. Data acquisition is as follows: the camera acquires image data at 30 frames per second, compresses it into H.265 format using a built-in encoder, generating image data packets containing timestamps and camera numbers. The data is transmitted to the analyzer 18 via an encrypted controller area network bus protocol. The power supply is 12V DC, provided by the analyzer 18.

[0050] The alarm device is a SIREN-200 audible and visual alarm with a sound pressure level of 120 dB, a light intensity of 200 candela, an operating temperature range of -30°C to 70°C, and an IP65 protection rating. The alarm is installed at the top center of the protective shield 16 and bolted to the aluminum alloy protective base plate 22. The signal line is connected to the control output port of the analyzer 18 via a waterproof connector. Data acquisition is as follows: the alarm receives trigger commands sent by the analyzer 18 via the signal line. When the protection and prevention system detects a landslide risk value exceeding 60 (advanced warning), the trigger command activates the alarm, emitting continuous red flashes and a buzzer sound for 30 seconds or until manually confirmed to stop by personnel. The trigger record includes a timestamp and duration, and is transmitted to the analyzer 18 for effectiveness evaluation.

[0051] The analyzer 18 uses an IPC-610 industrial computer equipped with an Intel Core i7 processor, 16GB of memory, and a 512GB solid-state drive. It runs an embedded Linux system and features eight RS-485 interfaces, four Ethernet interfaces, and two USB interfaces, with an IP54 protection rating. The analyzer 18 is mounted on top of the protective shield 16 and fixed to the aluminum alloy protective base plate 22 via a shock-absorbing bracket. It is covered by a waterproof and dustproof shell, and signal and power cables are connected via sealed connectors. The analyzer 18 receives input data from displacement sensors, camera 17, and environmental sensors, runs the protection and prevention processing system, and performs data processing, risk analysis, early warning generation, and alarm control functions. Data acquisition is as follows: the analyzer 18 receives displacement sensor data via the RS-485 interface and camera data via the Ethernet interface. The data is integrated using an encrypted controller area network (CLAN) bus protocol, processed, and generates abnormal event reports, early warning signals, and alarm commands. Power is supplied by 220V AC through the on-site power distribution box.

[0052] The environmental sensors include a temperature sensor, a humidity sensor, a wind speed sensor, and a tension sensor, each used to collect environmental parameters. The temperature sensor is a DS18B20 digital temperature sensor with a range of -55°C to 125°C and an accuracy of ±0.5°C. It is mounted on the bottom of the protective shield 16 and secured with bolts, with the probe exposed to the air. The humidity sensor is a DHT22 digital humidity sensor with a range of 0 to 100% relative humidity and an accuracy of ±2%. It is mounted on the bottom of the protective shield 16 and fixed alongside the temperature sensor. The wind speed sensor is an FS-100 ultrasonic wind speed sensor with a range of 0 to 60 m / s and an accuracy of ±0.3 m / s. It is mounted on the top of the protective shield 16 and secured with a pole at a height of 0.5 meters. The tension sensor is an LC-500 type, with a range of 0 to 10 kN and an accuracy of ±0.1 kN. It is installed at the connection between the pull rope 14 and the cone 15 and fixed to the end of the pull rope 14 with a fastener. The environmental sensor is connected to the analyzer 18 via an RS-485 interface, acquiring data once per second and generating environmental data packets containing timestamps and sensor numbers. The data is transmitted via an encrypted controller area network bus protocol. The power supply is 24V DC, provided by the analyzer 18.

[0053] The counterweight base is made of high-density concrete with a density of 2400 kg / m³, measuring 1 m × 1 m × 0.5 m and weighing 500 kg. Its surface is coated with a waterproof layer to enhance durability. The counterweight base is secured to the bottom of slider 2 with four sets of M20 bolts, each with a torque of 200 Nm, ensuring a firm connection. During installation, the counterweight base is hoisted onto slider 2 using lifting equipment. After securing it, the center of gravity of the support frame 5 is lowered to resist overturning forces caused by wind loads and vibrations, making it suitable for scenarios with wind speeds exceeding 20 m / s.

[0054] The stay cables are made of high-strength steel wire rope, model 6×19+IWRC, with a diameter of 10 mm and a tensile strength of 1770 MPa. The surface is galvanized for corrosion protection. Both ends of the stay cables 26 are connected to the adjacent vertical main poles 6 via high-strength fasteners made of stainless steel, with a fixing torque of 150 Nm, forming a triangular support structure. During installation, the cables are adjusted to an initial tension of 500 N using a tensioner to ensure the support frame 5's shear and overturning resistance, making it particularly suitable for environments where mountain vibration frequencies exceed 5 Hz.

[0055] The hardware collaborative operation mode is as follows: displacement sensors and environmental sensors collect mountain deformation and environmental parameters, high-altitude monitoring camera 17 captures the parabolic trajectory, and the data is transmitted to analyzer 18 via an encrypted protocol. Analyzer 18 processes the data, generates risk values, early warning signals, and alarm commands, and drives alarm devices to issue audible and visual alarms. The information is displayed on an LCD screen and mobile terminal through a user interaction subsystem. The counterweight base and inclined steel cables ensure the stability of the device and support reliable operation of the system in complex environments. Specific Implementation Example 3:

[0057] like Figures 1 to 8 As shown, the algorithm described in Example 1 will be explained below:

[0058] The protection and prevention processing system runs on analyzer 18. It processes data from displacement sensors, high-altitude monitoring cameras 17, and environmental sensors using algorithms such as inter-frame pixel difference, moving average, weighted integral, moving average, rule verification, and deviation analysis. This enables landslide early warning, high-altitude object location, wind load and stability risk assessment, strategy verification, and system optimization. The following details the input-output relationships, implementation methods, specific problems addressed, and solutions for each algorithm.

[0059] The inter-frame pixel difference algorithm is used in the parabolic object localization module to handle the problem of locating objects thrown from high altitudes. The input data is an image data packet generated by the high-altitude monitoring camera 17, containing consecutive frame images, timestamps, and camera numbers. Each frame has a resolution of 2560×1440 pixels, and the frame rate is 30 frames per second. The algorithm identifies the contour and trajectory of a moving object by comparing pixel changes in adjacent frames, calculates the object's coordinates and velocity vector in three-dimensional space, and outputs a parabolic event record, including the object's position (x, y, z coordinates, with an accuracy error of less than 0.5 meters), timestamp, and trajectory number. The implementation involves an industrial computer running an embedded Linux system on the analyzer 18. This system analyzes the image data packet using an image processing library, extracts pixel differences, calculates the object's spatial position by combining the camera's field of view and focal length, and stores the results in a structured database. The problem addressed is the difficulty in determining responsibility due to inaccurate positioning of objects thrown from high altitudes. The solution is as follows: the algorithm extracts the trajectory of the parabola from the image data, generates high-precision coordinates, and combines the timestamp and trajectory number to generate a parabola event record, which is then transmitted to the user interaction subsystem and displayed on the LCD screen and mobile terminal, allowing staff to determine the source and responsibility of the parabola.

[0060] The moving average algorithm is used in the deformation detection module to address the problem of landslide risk detection. The input data is a displacement data packet generated by a displacement sensor, containing deformation data, displacement amount data, vibration frequency data, timestamps, and sensor numbers. The sampling frequency is 5 to 10 times per second. The algorithm calculates the average value of data over the most recent 10 seconds, smooths noise, identifies deformation trends and abnormal vibrations, and outputs deformation anomaly records, including deformation rate, vibration frequency, and anomaly time. The implementation involves: Analyzer 18 receiving displacement data packets via an RS-485 interface, running a real-time data processing program, sorting the data by timestamp, calculating the moving average value, detecting anomalies with a deformation rate exceeding 0.1 mm / s or a vibration frequency exceeding 5 Hz, and storing the results in a database. The problem addressed is the difficulty in real-time detection of landslide deformation anomalies. The solution is: the algorithm analyzes deformation trends, generates anomaly records, transmits them to the risk warning subsystem, triggers advanced warning signals and alarm devices, and prompts construction personnel to evacuate or take protective measures.

[0061] The weighted integral algorithm is used in the risk quantification module to handle multi-dimensional risk assessment problems. Input data includes anomaly event reports from the anomaly analysis subsystem (containing deformation rate, vibration frequency, and parabolic events), environmental data packages (wind speed, tension of guy rope 14, temperature, and humidity), and historical risk data. The algorithm assigns weights to each data type (deformation rate 40%, vibration frequency 30%, wind speed 20%, and tension 10%), calculates landslide risk values, wind load risk values, and protective device stability risk values ​​through weighted summation, and outputs risk values ​​(range 0 to 100) and source descriptions. The implementation involves: the analyzer 18 running a risk assessment program, reading anomaly event reports and environmental data from the database, calculating risk values ​​according to weights, storing them in a structured database, and periodically updating the weights based on historical data. The problem addressed is the lack of comprehensive risk assessment leading to untimely early warnings. The solution is: the algorithm integrates deformation, wind speed, and tension data to generate risk values, transmits them to the early warning classification module, and generates low-level, medium-level, and high-level early warning signals. The high-level signal triggers alarm equipment, prompting reinforcement of guy rope 14 or suspension of construction.

[0062] The moving average algorithm is used in the comprehensive analysis module of the environmental monitoring subsystem to handle environmental risk trend analysis. Input data is an environmental data package containing temperature, humidity, wind speed, tension data of the tension cable 14, timestamps, and sensor numbers, with a sampling frequency of once per second, as well as historical deformation data. The algorithm calculates the average of the data over the most recent 30 minutes, analyzes environmental parameters and deformation trends, and outputs a comprehensive risk report, including landslide, wind load, and stability risk levels. Implementation involves: Analyzer 18 receiving environmental data via an RS-485 interface, running a data analysis program, calculating the moving average, combining it with historical deformation data to assess risk trends, storing the report in a database, and transmitting it to the risk early warning subsystem. The problem addressed is the difficulty in quantifying the impact of environmental changes on risk. The solution is that the algorithm generates a comprehensive risk report based on environmental data and deformation trends, optimizes early warning classification, assists in triggering alarm devices, and guides construction adjustments.

[0063] The rule verification algorithm is used in the strategy verification module to handle the feasibility verification of early warning strategies. The input data is the early warning strategy formulated by the strategy generation subsystem, including suggestions for determining liability for object ejection, suspending construction, reinforcing guy ropes, and alarm triggering commands. The algorithm checks whether the strategy meets the site conditions using preset safety standard rules (such as construction progress, wind speed threshold, and deformation rate threshold), and outputs verified strategies or adjustment suggestions. The implementation involves: the analyzer 18 running the rule verification program, loading the safety standard database, comparing the strategy content item by item, marking infeasible strategies and generating adjustment suggestions, storing the verification results in the database, and transmitting them to the strategy distribution module. The problem addressed is that early warning strategies may not conform to actual construction conditions. The solution is: the algorithm ensures the feasibility of the strategy through rule verification; the verified strategy is transmitted to the user interaction subsystem and alarm equipment, avoiding invalid commands and improving construction safety.

[0064] The deviation analysis algorithm is used in the effect evaluation module of the feedback optimization subsystem to handle system performance optimization issues. Input data includes staff instructions from the user interaction subsystem, execution results of early warning strategies, alarm trigger records, and historical data from across construction sites. The algorithm compares the actual execution effect with the expected effect, calculates the deviation, and generates optimization parameters (sampling frequency adjustment values ​​and risk quantification weight update values). The implementation involves: Analyzer 18 running the optimization program, loading the execution results and historical data, calculating the deviation percentage, generating optimization parameters, storing them in the database, and updating the data integration and risk early warning subsystem via the internal communication bus. The problem addressed is that system parameters may become inaccurate due to changes in the construction site environment. The solution is that the algorithm adjusts the sampling frequency and weights through deviation analysis, combines cross-construction site data to optimize system performance, ensures that the risk assessment error is less than 5%, and improves the accuracy of alarms and early warnings. Specific Implementation Example 4:

[0066] like Figures 1 to 8 As shown, the following are specific use cases of the content described in the above embodiments:

[0067] Case 1: Landslide warning during bridge construction in mountainous areas:

[0068] At a bridge construction site in a mountainous area, the construction area is close to a steep slope, posing a risk of landslides. Protective devices are deployed on both sides of the construction area. A sliding platform 1 is fixed to the ground via a sliding rail 3 and a slider 2. A support frame 5 is constructed by connecting vertical main rods 6 and horizontal main rods 7. A protective shield 16 is snapped onto the top to intercept falling rocks. A counterweight base is fixed to the slider 2, and a diagonal steel cable connects to the vertical main rod 6, ensuring the support frame 5 remains stable under mountain vibrations. A cone 15 is driven 2 meters into the mountainside, embedding an LVDT-1000 displacement sensor to monitor mountain deformation. The sampling frequency is 5 times per second, increasing to 10 times per second when the vibration frequency exceeds 5 Hz. A HIKVISION DS-2CD3T56G2-4IS high-altitude monitoring camera 17 captures the trajectory of falling rocks and generates image data packets. A DS18B20 temperature sensor, a DHT22 humidity sensor, an FS-100 wind speed sensor, and an LC-500 tension sensor collect data on temperature, humidity, wind speed, and the tension of the tension rope 14. The IPC-610 analyzer 18 operates the protection and prevention system, receiving displacement and environmental data. It detects a deformation rate of 0.15 mm / s using a moving average algorithm, generating an anomaly record. A weighted integral algorithm calculates a landslide risk value of 65, triggering an advanced early warning signal. The strategy generation subsystem proposes a work stoppage and alarm trigger command. The SIREN-200 alarm device emits a 120 dB audible and visual alarm for 30 seconds. The user interaction subsystem displays a landslide risk value bar chart and deformation trend curve on an LCD screen. Workers input confirmation commands via a touchscreen to stop construction and tighten the tension rope 14 to 600 Newtons. The data traceability module records deformation data and alarm trigger times to ensure subsequent accountability analysis. Problem Solving: The system promptly detects landslide risks, triggers alarms, and guides construction personnel to evacuate, preventing casualties.

[0069] Case 2: Determination of liability for objects thrown from heights during urban elevated bridge construction:

[0070] At a construction site of an elevated bridge in a certain city, workers are performing high-altitude operations above the construction area, and tools or materials may fall. A protective device is deployed below the elevated bridge. The protective shield 16 consists of a stainless steel mesh protective layer 19, a polyurethane protective soft board 21, and an aluminum alloy protective base plate 22, intercepting projectiles and protecting pedestrians and equipment below. A counterweight base and inclined steel cables ensure the stability of the support frame 5 under urban wind loads. A HIKVISION DS-2CD3T56G2-4IS high-altitude monitoring camera 17 acquires image data at 30 frames per second. An inter-frame pixel difference algorithm analyzes the image data packets, calculates the spatial coordinates (x-coordinate 2.3 meters, y-coordinate 1.5 meters, z-coordinate 10 meters, accuracy error 0.4 meters) and velocity vector of the projectile (e.g., a wrench), and generates a projectile event record containing a timestamp and trajectory number. An IPC-610 analyzer 18 integrates the projectile record through an event association module, generates an abnormal event report, and transmits it to the user interaction subsystem. The information display module shows the trajectory curve and 3D coordinates of the projectile on an LCD screen, simultaneously transmitting this information to the worker's mobile terminal. Workers input a responsibility query command via touchscreen; the system combines the projectile's location and timestamp to trace it back to the specific construction team in the high-altitude work area, generating a responsibility determination report. The strategy generation subsystem formulates recommendations for strengthening safety training and transmits them to the mobile terminal. The data tracing module records projectile incident data, ensuring the integrity of responsibility determination data. Problem Solving: The system accurately locates the source of the projectile, generates a responsibility determination report, supports construction management, and prevents similar incidents from recurring.

[0071] Case Study 3: Risk Management of Wind Load and Stability of Protective Devices during Coastal Bridge Construction

[0072] At a coastal bridge construction site, wind speeds frequently reach 25 meters per second, posing a challenge to the stability of the protective device. The protective device is secured to the ground by ropes 14 and anchor bolts 15, with a counterweight base and inclined cables ensuring the wind resistance of the support frame 5. An FS-100 wind speed sensor monitors wind speed, and an LC-500 tension sensor monitors the tension of rope 14, with data acquisition occurring once per second. An IPC-610 analyzer 18 runs a moving average algorithm to analyze wind speed and tension data, generating a comprehensive risk report showing a wind load risk value of 70 and a protective device stability risk value of 60. A weighted integral algorithm integrates wind speed, tension, and historical deformation data to generate an advanced early warning signal. The strategy generation subsystem recommends reinforcing rope 14 and suspending high-altitude work, while the SIREN-200 alarm device issues an audible and visual alarm to alert construction personnel to check the device. The user interaction subsystem displays a wind load risk bar chart and tension trend curve on an LCD screen. Workers input reinforcement commands via a touchscreen, and the tension of rope 14 is adjusted to 600 Newtons on-site. The feedback optimization subsystem analyzes the execution effect, adjusts wind speed weights, and improves the accuracy of risk assessment. The data sharing module transmits risk reports to the external emergency system via an encrypted message queue telemetry transmission protocol to coordinate emergency response. Problem resolution: The system monitors wind load and the stability risk of protective devices in real time, triggers alarms, and guides reinforcement measures to ensure stable operation of the equipment in strong wind environments. Specific Implementation Example 5:

[0074] like Figures 1 to 8 As shown in the table below, the bridge construction protection device and its protection system have experimental data in three different construction scenarios (mountainous areas, urban viaducts, and coastal areas with strong winds). The data covers displacement sensors, the HIKVISION DS-2CD3T56G2-4IS high-altitude monitoring camera, environmental sensors, risk values, alarm trigger records, and projectile positioning results, reflecting the system's performance in landslide early warning, high-altitude projectile positioning, wind load assessment, and stability risk assessment of the protection device.

[0075] Test Scenario Deformation rate (mm / s) Vibration frequency (Hertz) Wind speed (m / s) Rope tension (Newtons) Parabolic coordinates (meters) Wind load risk value Stability risk value Alarm trigger duration (seconds) Parabolic positioning error (meters) landslide risk value Bridge construction in mountainous areas 0.15 5.8 8.0 500 No parabolic 30 25 30 No parabolic 65 Urban elevated bridge construction 0.02 1.2 12.0 550 x=2.3, y=1.5, z=10.0 45 35 0 0.4 10 Coastal bridge construction 0.05 2.5 25.0 600 No parabolic 70 60 45 No parabolic 20

[0076] It should be noted that the experimental data comes from a comprehensive verification combining simulation experiments and field tests. The construction data for the mountain bridge is based on a laboratory simulation of a landslide environment. An LVDT-1000 displacement sensor was used to monitor deformation rate and vibration frequency. DS18B20 temperature sensors, DHT22 humidity sensors, FS-100 wind speed sensors, and LC-500 tension sensors collected environmental data. The simulated mountain vibration frequency was 5 to 6 Hz, the wind speed was 8 m / s, and the deformation rate was 0.1 to 0.2 mm / s. The data was processed by an IPC-610 analyzer, with a moving average algorithm detecting deformation anomalies, a weighted integral algorithm calculating risk values, and a SIREN-200 alarm device recording trigger durations. Construction data for urban elevated bridges was based on on-site testing at urban construction sites. A HIKVISION DS-2CD3T56G2-4IS camera (17 units) captured parabolic trajectories (simulating a falling wrench) at 30 frames per second. Coordinates were calculated using an inter-frame pixel difference algorithm, and positioning errors were verified by comparison with actual locations. Wind speed and tension data were collected by environmental sensors, and risk values ​​were generated using a weighted integral algorithm. Construction data for coastal bridges was based on simulations of strong coastal winds, with wind speeds set at 20-25 meters per second. Tension sensors monitored the tension of the tension rope (14 units), and a moving average algorithm generated a comprehensive risk report. Alarm trigger durations were recorded by a SIREN-200 alarm device. All data was timestamped and hash-verified through a data traceability module to ensure integrity. Risk weights were optimized through cross-site data comparison, with errors controlled within 5%. The experiment was repeated 10 times, and the average value was taken to ensure data validity and reliability.

[0077] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising a reference structure" does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0078] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A bridge construction safety device, comprising a sliding platform (1) and a support frame (5), characterized in that: The slide table (1) has a slider (2) slidably connected inside. The bottom of the slide table (1) is provided with a slide rail (3). The bottom of the slider (2) is provided with a sliding opening (10). The sliding opening (10) and the slide rail (3) are adapted to each other. The top of the slider (2) has a strip array of vertical main rods (6). The vertical main rods (6) and the slider (2) are inserted together. Horizontal uprights (7) are inserted between the vertical main rods (6). The vertical main rods (6) and the horizontal uprights (7) together form a support frame (5). The top of the support frame (5) is snapped with a protective cover (16). The protective cover (16) The bottom of the shield is welded with a sleeve (23), and the sleeve (23) and the vertical main rod (6) at the top of the support frame (5) are interlocked. The top of the protective shield (16) is equipped with an analyzer (18). The front and back sides of the top of the protective shield (16) are equipped with high-altitude monitoring cameras (17). The outside of the sliding platform (1) is connected with a pull rope (14). The end of the pull rope (14) is connected with a cone (15). The cone (15) is driven into the nearby mountain. The cone (15) is equipped with a displacement sensor. The protective shield (16) is equipped with an alarm device. The bridge construction protection device mentioned above corresponds to a bridge construction protection system, which includes a protection and prevention treatment system. The protection and prevention treatment system is embedded within an analyzer (18). This system includes a data integration subsystem, an anomaly analysis subsystem, a risk warning subsystem, a strategy generation subsystem, a feedback optimization subsystem, a user interaction subsystem, and an environmental monitoring subsystem. The data integration subsystem includes a displacement data acquisition module, an image data acquisition module, and a data synchronization module. The anomaly analysis subsystem includes a parabolic positioning module, a deformation detection module, and an event association module. The risk warning subsystem includes a risk quantification module, a warning classification module, and a priority management module. The strategy generation subsystem includes a strategy formulation module, a strategy verification module, a strategy distribution module, and an alarm control module. The feedback optimization subsystem includes an effect evaluation module. The user interaction subsystem includes an information display module and an instruction input module. The environmental monitoring subsystem includes an environmental data acquisition module and a comprehensive analysis module.

2. The bridge construction protection device according to claim 1, characterized in that: Limiting holes (4) are provided on both sides of the slide (1). A drive cylinder assembly (12) is installed on both sides of the slider (2). A limiting telescopic rod (11) is installed at the end of the drive cylinder assembly (12). The limiting telescopic rod (11) and the limiting hole (4) are adapted to each other. A baffle (13) is embedded in the front of the slide (1). A cross slot (8) is provided on the outside of the front of the slide (1). A cross insert (9) is provided on the outside of the back of the slide (1). The cross insert (9) and the cross slot (8) are inserted into each other. The protective shield (16) is connected by tenon and mortise in the middle. The protective shield (16) includes a protective mesh layer (19), a protective soft plate (21), and a protective base plate (22). The protective shield (16) is assembled from the protective mesh layer (19), the protective soft plate (21), and the protective base plate (22). The top of the protective mesh layer (19) has a rectangular array of mesh holes (20). The assembly method of the protective device is as follows: First, place the required number of slides (1) on both sides of the construction site, and assemble the slides (1) on both sides according to the required length of the construction site. Insert the cross slot (8) on the front of one slide (1) and the cross insert (9) on the back of the other slide (1) into the slides. By assembling the slides (1), a complete slide rail (3) component with a length suitable for construction needs is formed, which facilitates the movement of the slider (2). The limiting telescopic rods (11) on both sides of the slider (2) are controlled to extend and retract by the drive cylinder group (12). When it moves to the required position, the limiting telescopic rods (11) are controlled to extend and insert into the corresponding limiting hole (4). When the slider (2) moves When the construction site is reached, the support frame (5) is assembled. First, the two ends of the vertical main rod (6) are inserted into the top of the slider (2) in the sliding platform (1) on both sides. Then, the horizontal main rod (7) is evenly inserted between the vertical main rods (6). After the support frame (5) is built, the protective shield (16) is clamped on the top of the support frame (5). The pull rope (14) on the side of the sliding platform (1) is used to further fix the sliding platform (1). The cone (15) is driven into the mountain. The displacement sensor inside the cone (15) is used to monitor the landslide. After the entire support frame (5) and the protective shield (16) are assembled for the first time, the protective device can be moved directly by the slider (2) the next time.

3. A bridge construction protection device according to claim 1, characterized in that: The data integration subsystem includes a displacement data acquisition module, which collects deformation data, displacement data, and vibration frequency data of the displacement sensor inside the cone (15) in real time, and generates a displacement data packet containing timestamps, data types, and sensor numbers; the data integration subsystem includes an image data acquisition module, which performs resolution compression on the image data collected by the high-altitude monitoring camera (17), and generates an image data packet containing timestamps and camera numbers; the data integration subsystem includes a data synchronization module, which matches the displacement data packet and the image data packet using timestamp alignment technology, removes data with time deviations exceeding 0.1 seconds, and transmits it to the anomaly analysis subsystem through an encrypted controller local area network bus protocol; the data utilization method is as follows: the deformation data and vibration frequency data in the displacement data packet are used for landslide risk analysis and triggering alarm devices, the image data packet is used to calculate the location of objects thrown from the air to support responsibility determination, the timestamp is used to ensure data synchronization, and the sensor number and camera number are used for data traceability; the control flow is: data acquisition, data compression, time alignment, and data transmission.

4. A bridge construction protection device according to claim 1, characterized in that: The anomaly analysis subsystem includes a parabolic positioning module, which calculates the spatial coordinates and velocity vector of the parabolic object in the image data packet acquired by the high-altitude monitoring camera (17) using an inter-frame pixel difference algorithm, and generates a parabolic event record containing the parabolic position, timestamp, and trajectory number; the anomaly analysis subsystem includes a deformation detection module, which analyzes the deformation trend in the displacement data packet using a moving average algorithm, and generates a deformation anomaly record containing the deformation rate, vibration frequency, and abnormal time; the anomaly analysis subsystem includes an event association module, which integrates the parabolic event record and the deformation anomaly record using time and space matching rules, and generates an anomaly event report containing the event type, timestamp, and risk level, which is transmitted to the risk warning subsystem through a priority queue; the data utilization method is as follows: the spatial coordinates in the parabolic event record are used to generate a responsibility determination report, the deformation rate and vibration frequency in the deformation anomaly record are used for landslide risk assessment and triggering alarm devices, and the timestamp and trajectory number are used for event tracing; the control flow is: data reception, parabolic positioning, deformation detection, event integration, and report transmission.

5. A bridge construction protection device according to claim 1, characterized in that: The risk warning subsystem includes a risk quantification module, which calculates the risk value of landslide, wind load and the stability risk value of protective device through a weighted integral algorithm. The weights are based on deformation rate, wind speed and tension data of rope (14). The risk warning subsystem includes a warning classification module, which generates low-level, medium-level, and high-level warning signals based on the risk value. Each signal includes the risk type, risk value, and source description. The risk warning subsystem includes a priority management module, which determines the order of warning signal push based on the risk value and construction progress, and transmits the signal to the strategy generation subsystem through a priority queue. The data utilization method is as follows: deformation data in abnormal event reports is used for landslide risk quantification and triggering alarm devices; parabolic event data is used for responsibility determination analysis; wind speed and rope (14) tension data are used for wind load and stability risk assessment; and historical risk data is used for weight calibration. The control flow is as follows: abnormal report reception, risk quantification, warning classification, and signal push.

6. A bridge construction protection device according to claim 1, characterized in that: The strategy generation subsystem includes a strategy formulation module, which generates an early warning strategy based on the advanced and intermediate early warning signals generated by the risk early warning subsystem. This strategy includes suggestions for determining liability for projectiles, suggestions for suspending construction, suggestions for reinforcing the guy ropes (14), and alarm device triggering instructions. The strategy generation subsystem also includes a strategy verification module, which verifies the feasibility of the early warning strategy using a rule verification algorithm. The strategy generation subsystem further includes a strategy distribution module, which transmits the early warning strategy to the user interaction subsystem using an encrypted wireless communication protocol. The strategy generation subsystem also includes an alarm control module, which generates triggering instructions based on the advanced early warning signals and transmits them to the alarm device via a signal line. The data utilization method is as follows: advanced early warning signals are used to generate alarm triggering instructions and liability determination suggestions; intermediate early warning signals are used to generate construction adjustment suggestions; historical execution data is used to verify the feasibility of the strategy; and deformation data is used to trigger the alarm device. The control flow is as follows: early warning signal reception, strategy formulation, strategy verification, strategy distribution, and alarm triggering.

7. A bridge construction protection device according to claim 1, characterized in that: The feedback optimization subsystem includes an effect evaluation module. This module receives staff instructions, early warning strategy execution results, and alarm device triggering records from the user interaction subsystem. It calculates the difference between the actual and expected effects using a deviation analysis algorithm, generating optimization parameters that include sampling frequency adjustment values ​​and risk quantification weight update values. These parameters are then transmitted to the data integration subsystem and the risk early warning subsystem via an internal communication bus. Data utilization methods are as follows: early warning strategy execution results are used to evaluate the alarm device triggering effect; staff instructions are used to calibrate optimization parameters; and cross-site data is used to improve system performance. The control flow is: execution result reception, effect evaluation, parameter generation, and parameter distribution.

8. A bridge construction protection device according to claim 1, characterized in that: The user interaction subsystem includes an information display module, which receives the early warning strategy and parabolic position information transmitted by the strategy generation subsystem and displays the early warning signal, parabolic trajectory, and deformation trend in the form of bar charts and line graphs on an LCD screen. The user interaction subsystem also includes an instruction input module, which receives instructions input by staff via a touch screen. Instructions include confirming the early warning signal and adjusting the construction plan. The data utilization method is as follows: the early warning signal is used to prompt staff to take action, the parabolic position information is used to generate a responsibility determination report, and the alarm trigger record is used to evaluate the alarm effect. The control flow is: early warning strategy reception, information display, instruction input, and instruction transmission.

9. A bridge construction protection device according to claim 1, characterized in that: The environmental monitoring subsystem includes an environmental data acquisition module, which collects environmental parameters through temperature sensors, humidity sensors, wind speed sensors, and tension sensors (14) to generate an environmental data package containing timestamps and sensor numbers. The environmental monitoring subsystem also includes a comprehensive analysis module, which analyzes the changing trends of the environmental data package and historical deformation data through a moving average algorithm to generate a comprehensive risk report containing landslide risk, wind load risk, and stability risk of protective devices. This report is then transmitted to the risk warning subsystem via the controller local area network bus. The data utilization method is as follows: wind speed and tension data are used for wind load and stability risk analysis, temperature and humidity data are used to assist in landslide risk assessment, and the comprehensive risk report is used to optimize early warning classification and trigger alarm devices. The control flow is: environmental data acquisition, trend analysis, and data transmission.

10. A bridge construction protection device according to claim 1, characterized in that: The protection and prevention system includes a data tracing module, which records historical data such as displacement data packets, image data packets, early warning strategies, object location information, and alarm trigger records through timestamps and hash verification to ensure the integrity of the object responsibility determination data; the protection and prevention system includes a fault switching module, which monitors the operating status of the analyzer (18) in real time and automatically switches to the backup computing node when an abnormality in data processing is detected; the protection and prevention system includes a data sharing module, which transmits early warning signals, object location information, and comprehensive risk reports to the external emergency system through an encrypted message queue telemetry transmission protocol; the data utilization method is as follows: the object location information in the event log is used for responsibility determination, the comprehensive risk report is used for external emergency collaboration, historical data is used for system performance analysis, and alarm trigger records are used to evaluate the alarm effect; the control flow is: data recording, abnormality detection, node switching, and data sharing, and the alarm device is an alarm.

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