Multi-parameter intelligent monitoring device and method for cantilever bridge fabrication machine

Abstract

The invention provides a multi-parameter intelligent monitoring device and method for a suspended grouting bridge fabrication machine. The multi-parameter intelligent monitoring device comprises a sensing system, an interaction system and a supporting system. The sensing system is used for collecting anchor rod tension, main beam stress and environmental parameters required by suspension pouring construction and providing basic data for monitoring and early warning; the interaction system is used for realizing real-time display of monitoring data, function operation support, and acousto-optic early warning and voice broadcast of a threshold exceeding state, so that construction personnel can obtain safety information in time; the supporting system is used for completing acquisition and conversion of sensor signals, uploading and transmission of monitoring data and linkage of line arrangement and circuit control; accurate alignment of multi-parameter data such as load, stress and wind speed is achieved through hardware clock synchronization, the structure safety state is calculated in real time based on a multi-sensor fusion model, active intelligent early warning is achieved, and construction safety is improved.

Description

Technical Field

[0001] This invention relates to the field of bridge construction safety monitoring technology, specifically to a multi-parameter intelligent monitoring device for a cantilever bridge construction machine. Background Technology

[0002] In the field of bridge engineering, cantilever construction, with its advantages of strong spanning capacity and wide adaptability, has become one of the core technologies for the construction of long-span bridges. The cantilever bridge-building machine, as a key piece of equipment in this process, directly determines the quality of bridge construction and the safety of personnel and property. During the operation of the cantilever bridge-building machine, the anchor bolt tension and the main beam stress are core parameters reflecting the structural stability of the equipment. As a key fixing component of the bridge-building machine, the anchor bolts must provide sufficient tension to balance the construction load and prevent equipment displacement or overturning.

[0003] Traditional monitoring relies on separate devices for independent measurements, resulting in poor data synchronization. Monitoring anchor bolt tension and main beam stress requires two independent detection systems: one dedicated to collecting anchor bolt tension data, and the other responsible for measuring main beam stress parameters. This asynchronous measurement method prevents monitoring personnel from obtaining the complete stress state of the equipment at the same time, leading to significant biases in subsequent data analysis and failing to accurately reflect the dynamic matching relationship between anchor bolt tension and main beam stress. Furthermore, current technology can only independently collect and perform simple threshold judgments on single parameters such as anchor bolt tension and main beam stress, without integrating environmental influencing factors such as wind speed. Summary of the Invention

[0004] The purpose of this invention is to provide a multi-parameter intelligent monitoring device for cantilever bridge construction machines to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A multi-parameter intelligent monitoring device for a cantilever bridge construction machine includes a sensing system, an interaction system, and a support system;

[0007] The sensing system includes load sensors, stress sensors, wind speed sensors, and a hanging basket for construction; these sensors are used to collect the anchor bolt tension, main beam stress, and environmental parameters required for cantilever casting construction, providing basic data for monitoring and early warning.

[0008] The interactive system includes a monitoring display, a buzzer alarm, and a voice alarm, which are used to realize the real-time display of monitoring data, support for functional operation, and sound and light warnings and voice broadcasts for exceeding threshold states, so as to ensure that construction personnel can obtain safety information in a timely manner.

[0009] The support system includes a vibrating wire stress acquisition instrument, an analog load acquisition instrument, a switching power supply, a gigabit industrial switch, cable trays, and relays, which are used to complete the acquisition and conversion of sensor signals, the uploading and transmission of monitoring data, as well as the wiring and circuit control linkage, to ensure the overall stable operation of the device.

[0010] The signal output terminals of the load sensor, stress sensor, and wind speed sensor extend into the monitoring cabinet via lines and are connected to the signal input terminals of the vibrating wire stress acquisition instrument and analog load acquisition instrument of the support system via cable trays. The signal output terminals of the vibrating wire stress acquisition instrument and analog load acquisition instrument are respectively connected to the monitoring display, buzzer alarm, voice alarm of the interactive system, and gigabit industrial switch of the support system. All the above-mentioned electrical components are electrically connected to the switching power supply of the support system, forming a complete signal transmission circuit and power supply circuit through lines and cable trays.

[0011] Preferably, the support system also includes a monitoring cabinet, which houses a vibrating wire stress acquisition instrument, an analog load acquisition instrument, a switching power supply, a gigabit industrial switch, relays, and cable trays. This integrated cabinet design centrally protects all core processing and power supply units, facilitating on-site installation, commissioning, and maintenance, and improving the overall protection level and reliability of the system.

[0012] Preferably, the monitoring cabinet is equipped with a rotatable door. The back of the door is embedded in the monitoring display, and a transparent window is provided on the front of the display to facilitate observation of its content. A buzzer alarm and a voice alarm are also fixedly installed at the bottom of the monitoring display. This design achieves centralized protection and convenient observation of the human-machine interface, while integrating the audible and visual alarm units in a prominent position to ensure that alarm information can be promptly detected by construction personnel.

[0013] Preferably, there are 12 load sensors, distributed at the front and rear anchor points of the hanging basket; the wind speed sensor is fixedly installed on the top of the hanging basket. Load monitoring of all key anchor points allows for a comprehensive understanding of the hanging basket's stress balance; the wind speed sensor installed on the top provides the most direct wind load data, offering accurate environmental input for structural safety assessment.

[0014] Preferably, eight stress sensors are used and installed on key monitoring sections of the bridge main girder; the stress sensors are resonant sensors containing tensioned metal strings. Deploying a sufficient number of sensors on the key sections of the main girder allows for accurate capture of stress distribution and changes during construction; the use of resonant metal string sensors offers advantages such as good long-term stability and strong anti-interference capabilities.

[0015] Preferably, the stress sensors are installed in the following locations: the front support platform area of ​​the main bridge beam, the junction area between the front and rear suspension beams, and the rear anchor integrated beam area, and are symmetrically arranged along the central axis of the bridge. This symmetrical arrangement in these critical stress areas effectively monitors the stress state of the most unfavorable section of the main beam during cantilever construction, providing direct data support for early warning of structural instability.

[0016] A multi-parameter intelligent monitoring method for cantilever bridge construction machines specifically includes the following steps:

[0017] S1: Multi-parameter synchronous acquisition: Through various sensors in the sensing system, load data of anchor bolts, stress data of bridge main beams and environmental wind speed data are acquired synchronously.

[0018] S2: Signal processing and transmission: The acquired analog signals are converted into digital signals by the analog load acquisition instrument in the support system, and then filtered and compensated. The hardware clock synchronization mechanism ensures the spatiotemporal alignment of multiple data streams.

[0019] S3: Data Fusion Analysis and Safety Assessment: Based on the received digital signals, the actual load on the anchor bolts and the actual stress on the main beam are calculated in real time. Combined with wind speed data, the structural safety status is assessed through a preset load transfer function.

[0020] S4: Real-time early warning and information interaction: When the evaluation result exceeds the preset safety threshold, the system will activate the sound, light and voice alarms, and display the parameter data and alarm status in real time on the monitoring display.

[0021] Preferably, the formula for calculating the actual load value in S3 is as follows:

[0022] Actual load value = (load sensor range - 0) / (16384 - 3276) * acquisition modulus

[0023] The actual stress of each anchor rod (10) and the main beam was calculated.

[0024] The acquired modulus is directly and linearly converted into intuitive physical quantity values, which is computationally efficient and facilitates real-time processing and display by the system.

[0025] Preferably, the relative strain detected by the equipment is measured in S3, and then the relative stress value is calculated based on the elastic modulus of the equipment's steel structure. The specific calculation formula is as follows:

[0026] Strain = K*(f1²-f0²) + K1*(T1²-T0²)

[0027] Stress = Elastic modulus * Strain

[0028] The stress coefficient is denoted as K, the current measurement frequency is denoted as f1, the frequency at 0 is denoted as f0, the temperature coefficient is denoted as K1, the current temperature value is denoted as T1, the temperature at 0 is denoted as T0, and the elastic modulus is taken as the steel structure modulus, denoted as 206000MPa.

[0029] Compared with the prior art, the beneficial effects of the present invention are:

[0030] This invention uses an integrated hardware design and a hardware clock synchronization chip to align multiple signals such as anchor load, main beam stress, and ambient wind speed within microseconds. Combined with a dynamic compensation algorithm, it eliminates high-frequency interference and achieves strict consistency of data in time and space.

[0031] This invention uses synchronously collected multi-dimensional data to calculate the stress-load transfer function of the main beam in real time, and combines it with environmental parameters such as wind speed to dynamically assess the overall safety status of the structure. When key parameters (such as uneven load or stress exceeding limits) or their combination exceed the preset safety model threshold, the system can immediately issue a clear warning through audible and visual alarms and voice broadcasts. Attached Figure Description

[0032] Figure 1 This is a schematic diagram of the overall structure of the interactive system of the present invention.

[0033] Figure 2 This is a schematic diagram of the internal structure of the interactive system of the present invention.

[0034] Figure 3 This is a schematic diagram of the position of the front anchor point of the basket of the analog load acquisition instrument of the present invention.

[0035] Figure 4 This is a schematic diagram of the rear anchor point position of the analog load acquisition instrument of the present invention.

[0036] Figure 5 This is a schematic diagram showing the location of the stress sensor on the front support platform of the present invention.

[0037] Figure 6 This is a schematic diagram showing the location of the stress sensor at the junction of the front and rear suspension beams of the present invention.

[0038] Figure 7 This is a schematic diagram showing the location of the stress sensor in the rear-anchored integrated beam of the present invention.

[0039] Figure 8 This is a schematic diagram of the wiring and interface layout of the analog load acquisition instrument of the present invention.

[0040] Figure 9 This is a schematic diagram of the overall principle of the present invention.

[0041] In the diagram: 1. Cabinet; 2. Monitoring display; 3. Buzzer alarm; 4. Voice alarm; 5. Vibrating wire stress acquisition instrument; 6. Analog load acquisition instrument; 7. Switching power supply; 8. Gigabit industrial switch; 9. Cable tray; 10. Anchor bolt; 11. Load sensor; 12. Stress sensor; 13. Relay; 14. Wind speed sensor; 15. Hanging basket; 16. Metal string; 17. Opening and closing door; 18. Front hanging beam; 19. Rear hanging beam; 20. Front support platform; 21. Rear anchor integrated beam. Detailed Implementation

[0042] 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.

[0043] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installed," "equipped with," "sleeved with," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. For those skilled in the art, the specific meaning of the above terms in this invention can be understood according to the specific circumstances.

[0044] Example:

[0045] Please see Figures 1 to 9 The present invention provides a technical solution:

[0046] A multi-parameter intelligent monitoring device for a cantilever bridge construction machine includes a sensing system, an interaction system, and a support system;

[0047] The sensing system is responsible for directly collecting physical quantity signals from the construction site. Load sensor 11 directly measures the real-time tensile force borne by each anchor bolt 10 of the cantilever bridge-building machine (hanging basket 15), providing raw data for assessing the safety of the anchoring system. Stress sensor 12 is used to monitor the stress state of key sections of the bridge main beam during construction, providing a basis for assessing the safety of the main structure. Wind speed sensor 14 monitors the ambient wind speed at the construction site in real time, providing parameters for assessing the impact of wind load on construction safety. The hanging basket 15, as the load-bearing and mobile working platform for cantilever pouring construction, is the mounting carrier for load sensor 11 and wind speed sensor 14, and is also one of the main objects being monitored.

[0048] The interactive system is responsible for human-machine information exchange and alarm output, ensuring that monitoring information can be obtained by construction personnel in a timely manner. Monitoring display unit 2 centrally displays all monitoring data and system status, and provides an interface for parameter settings, data clearing, and other operations. It is installed on the door of monitoring cabinet 1, serving as the main human-machine interaction terminal. Buzzer alarm 3 emits a high-frequency sound and flashes when the monitored value exceeds the limit, providing an immediate and high-intensity alert. The control signal input terminal of buzzer alarm 3 is connected to monitoring display unit 2. Voice alarm 4 broadcasts specific alarm information (such as "Anchor bolt 10 tension exceeds limit") in voice form, making the alarm content clearer.

[0049] The support system is responsible for signal acquisition, conversion, transmission, power supply, and system integration. The monitoring cabinet 1 houses a vibrating wire stress acquisition instrument 5, an analog load acquisition instrument 6, a switching power supply 7, a gigabit industrial switch 8, a relay 13, and cable trays 9. The vibrating wire stress acquisition instrument 5 specifically acquires the frequency signal output from the stress sensor 12 and converts it into a digital signal. The signal input terminal of the vibrating wire stress acquisition instrument 5 is connected to the stress sensor 12 via a shielded cable, and the output terminal is connected to the monitoring display instrument 2 and the gigabit industrial switch 8 via an RS485 communication bus. The vibrating wire stress acquisition instrument 5 uses a 24-bit ADC with a sampling rate of 1kHz, eliminating high-frequency harmonic interference, and achieving an accuracy of ±0.1%FS.

[0050] The analog load acquisition unit 6 acquires standard analog signals (such as 4-20mA current) output from the load sensor 11 and the wind speed sensor 14, and converts them into digital signals. It is fixedly installed inside the monitoring cabinet 1, with its multiple analog input terminals connected to each load sensor 11 and wind speed sensor 14, and its output terminals connected to the monitoring display unit 2 and the gigabit industrial switch 8 via an RS485 communication bus. The switching power supply 7 provides a stable and reliable DC power supply (such as DC24V) for all electrical equipment inside the cabinet. The output terminal of the switching power supply 7 is connected to the power input terminals of each electrical component via power distribution lines.

[0051] A gigabit industrial switch 8 establishes an internal industrial Ethernet network, enabling high-speed data exchange between the vibrating wire stress acquisition instrument 5, the analog load acquisition instrument 6, and the monitoring display instrument 2. It also provides an uplink port to remotely transmit monitoring data to a BIM platform or cloud server. It connects to various intelligent devices via network cables. Cable trays 9 neatly organize, fix, and protect all power lines, signal lines, and communication cables inside the cabinet 1, ensuring clean, reliable wiring and preventing mutual interference. Relays 13, based on control commands from the monitoring display instrument 2, drive the high-power buzzer alarm 3 and voice alarm 4, achieving circuit isolation and control linkage. The control coil of relay 13 is connected to the switch output of the monitoring display instrument 2, and its contact is connected in series in the power supply circuit of the alarm. The monitoring cabinet 1 provides physical protection and environmental isolation for all supporting system equipment and cable trays 9.

[0052] The signal output terminals of the load sensor 11, stress sensor 12, and wind speed sensor 14 extend into the monitoring cabinet 1 via lines, and are connected to the signal input terminals of the vibrating wire stress acquisition instrument 5 and analog load acquisition instrument 6 of the support system via cable trays 9. The signal output terminals of the vibrating wire stress acquisition instrument 5 and analog load acquisition instrument 6 are respectively connected to the monitoring display instrument 2, buzzer alarm 3, voice alarm 4 of the interactive system, and gigabit industrial switch 8 of the support system. All the above-mentioned electrical components are electrically connected to the switching power supply 7 of the support system, forming a complete signal transmission circuit and power supply circuit through lines and cable trays 9.

[0053] The monitoring cabinet 1 has an outwardly rotating door 17 on its front. The back panel of this door 17 is reinforced for embedded mounting of the monitoring display 2. The monitoring display 2 uses a 7-inch industrial-grade human-machine interface (HMI) with an IP65 protection rating, making the display and cabinet door a single unit. To further enhance ease of observation and equipment protection, a transparent observation window of matching size is provided on the area corresponding to the front of the monitoring display 2 screen on the door 17. This observation window is typically made of high-strength transparent acrylic or tempered glass, allowing operators to clearly and in real-time observe all monitoring data, curves, and system status displayed on the monitoring display 2 without opening the cabinet door.

[0054] The buzzer alarm 3 uses a high-loudness alarm with a sound pressure level of no less than 110dB and integrates a synchronously triggered strobe light. When the monitored data exceeds the preset threshold, it will immediately activate, emitting a strong alarm sound and flashing light that is difficult to ignore, for immediate remote, site-wide alarm in noisy construction sites, forcibly attracting the attention of workers. The voice alarm 4 is equipped with a dedicated voice module supporting the Modbus communication protocol, which converts specific alarm information (such as "Front-end anchor bolt No. 3 10 tension exceeds limit") into clear and unambiguous voice broadcasts. This transforms the alarm content from abstract sound and light signals into specific semantic information, greatly improving the directionality and understandability of the alarm, guiding personnel to quickly locate the source of the problem.

[0055] The load monitoring system is equipped with 12 high-precision load sensors 11, which are precisely selected and arranged according to the actual stress characteristics of the cantilever bridge construction machine (hanging basket 15). Specifically, the 12 load sensors 11 are divided into two groups in terms of measuring range: 8 sensors have a measuring range of 0-90 tons, and the other 4 sensors have a measuring range of 0-45 tons. All sensors have a high protection rating of IP68, which can completely prevent dust intrusion and work reliably for a long time at a certain water depth, so as to adapt to the harsh environment of humid and dusty construction sites.

[0056] Sensors with a range of 0-45 tons are installed at specific anchor points on the upper part of the hanging basket 15 (such as the top) to measure relatively small loads in that area. Sensors with a range of 0-90 tons are positioned at key locations bearing the main loads, such as the main load-bearing anchor rods 10 at the front end and the rear anchoring system, to directly and accurately measure the enormous downward pressure at the front end and the main balancing tension at the rear end generated during the cantilever pouring process. This refined arrangement, matching different range sensors based on the estimated load at different anchor points, ensures that each sensor operates within its optimal measurement range, achieving full coverage and high-precision monitoring of the loads at all key anchor points of the hanging basket 15. Matching the most suitable sensor range to the actual stress range of each anchor point avoids measurement accuracy loss, ensuring that the data at each monitoring point remains within the optimal accuracy range. Comprehensive perception and precise status monitoring: By tailoring monitoring to all key anchor points, including the relatively less stressed upper anchor points, the system can more accurately and comprehensively grasp the overall and local stress state and load distribution of the hanging basket 15.

[0057] The stress monitoring system is equipped with eight stress sensors 12 for precise monitoring of the stress state of the bridge main girder during the cantilever construction process. Each stress sensor 12 is a resonant sensor containing a tensioned metal string 16. When the bridge main girder deforms, the tension of the internally pre-tensioned metal string 16 changes. According to the principles of physics, the natural vibration frequency of a tensioned string is proportional to the square root of the tension it experiences. Therefore, the strain of the main girder (manifested as a change in string tension) directly causes a shift in the resonant frequency of the metal string 16. By continuously exciting and accurately measuring this frequency value through a measuring circuit, an electrical signal directly related to the strain can be obtained.

[0058] Four stress sensors 12 are installed at the front support platform 20 area, near the support point at the front end of the main beam. This section bears the maximum negative bending moment and shear force. This placement allows direct monitoring of the maximum stress level at the root of the main beam, preventing cracking or crushing of the root concrete. Two stress sensors 12 are placed on the main beam at the junction of the front and rear suspension beams 18 and 19, corresponding to the section between the front and rear suspension points of the hanging basket 15. This area exhibits significant changes in bending moment and shear force, making it a crucial location for monitoring the peak bending moment and its trend under construction loads, sensitively reflecting the load effects during pouring. Two stress sensors 12 are installed near the rear anchorage zone of the main beam in the rear anchorage beam 21 area. The stress state in this area directly affects the effectiveness of the rear anchorage system and the overall force balance. Monitoring this area verifies the transmission effect of the rear anchoring force and the local stress concentration at the anchorage point of the main beam.

[0059] A multi-parameter intelligent monitoring method for cantilever bridge construction machines specifically includes the following steps:

[0060] S1: Multi-parameter synchronous acquisition;

[0061] The system uses various sensors to synchronously collect load data from anchor bolt 10, stress data from the bridge main beam, and ambient wind speed data. The core of this step lies in synchronization. A high-precision clock synchronization chip (accuracy ±10μs) built into the acquisition hardware ensures that all sensor signals are strictly aligned on the time scale, fundamentally solving the problem of inconsistent data timing (error >200ms) in traditional discrete acquisition methods. This provides an accurate time reference for subsequent multi-source data fusion.

[0062] S2: Signal processing and transmission;

[0063] The acquired analog signals are converted into digital signals by the corresponding acquisition instruments in the support system, and then filtered and compensated. The 4-20mA current signals output by the load sensor 11 and the wind speed sensor 14 are converted from analog to digital by the analog load acquisition instrument 6, and the frequency signal output by the stress sensor 12 is acquired and converted by the vibrating wire stress acquisition instrument 5.

[0064] During the conversion process, the system employs a dynamic compensation algorithm to digitally filter the signal and compensate for environmental factors such as temperature, in order to eliminate high-frequency harmonic interference and drift. All processed digital signals are uploaded in real time to the monitoring display 2 via an RS-485 industrial bus, and local data integration and remote transmission are supported by a gigabit industrial switch 8.

[0065] S3: Data fusion analysis and security assessment;

[0066] Based on the received digital signals, the system performs real-time calculations and comprehensive analysis;

[0067] Calculate the load according to the formula:

[0068] Actual load value = (load sensor 11 range - 0) / (16384 - 3276) * acquisition modulus

[0069] For stress calculation of resonant sensors, the formula is as follows:

[0070] Strain = K*(f1²-f0²) + K1*(T1²-T0²)

[0071] Stress = Elastic modulus * Strain

[0072] Calculate the actual stress at the key section of the main beam, where K is the stress coefficient, f1 is the current measurement frequency, f0 is the initial frequency, K1 is the temperature coefficient, T1 is the current temperature, and T0 is the temperature at point 0.

[0073] S4: Real-time early warning and information interaction;

[0074] When the assessment results indicate that the safety status exceeds the preset threshold, the system immediately activates a multi-layered, three-dimensional early warning and interaction mechanism. Simultaneously, it triggers a high-intensity buzzer alarm 3 (sound pressure level ≥110dB, with strobe) for mandatory warning and drives a voice alarm 4 to clearly broadcast the specific alarm content (e.g., "Load at rear anchor point 3 exceeds limit"), forming a three-in-one instant alarm system integrating sound, light, and voice. All real-time data, historical trend curves, alarm status, and location information are centrally and intuitively displayed graphically on a 7-inch industrial human-machine interface, providing comprehensive decision support for on-site personnel. Complete monitoring data streams and alarm logs are uploaded via the industrial network, supporting remote monitoring centers and BIM collaboration platforms for data archiving, in-depth analysis, and collaborative management.

[0075] This invention addresses the technical bottleneck of traditional discrete monitoring equipment, which suffers from asynchronous data (error > 200ms) and difficulty in accurately reflecting the instantaneous comprehensive state of a structure. It introduces a hardware-level clock synchronization mechanism. By embedding a high-precision clock synchronization chip (accuracy ±10μs) into the data acquisition hardware, a unified time stamp is applied to data from all sensing channels (stress, load, wind speed), achieving microsecond-level strict spatiotemporal alignment of multi-source heterogeneous signals. The synchronously acquired load, stress, and wind speed data are input into a pre-set main beam stress-load transfer function model for online calculation and fusion analysis. This model can dynamically simulate the structural response under the combined action of construction loads and environmental loads, and assess the overall stability of the structure in real time, making early warning more forward-looking and scientific.

[0076] All other parts of this invention not described herein are the same as existing technologies, or are known technologies, or can be implemented using existing technologies, and will not be described in detail here.

[0077] 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 variations 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 multi-parameter intelligent monitoring device for a cantilever bridge construction machine, characterized in that, This includes a sensing system, an interaction system, and a support system; The sensing system includes a load sensor (11), a stress sensor (12), a wind speed sensor (14), and a hanging basket (15) for construction. The load sensor (11), stress sensor (12), and wind speed sensor (14) are used to collect the tension of the anchor rod (10), the stress of the main beam, and environmental parameters required for the suspended grouting construction, so as to provide basic data for monitoring and early warning. The interactive system includes a monitoring display (2), a buzzer alarm (3), and a voice alarm (4), which are used to realize the real-time display of monitoring data, support for function operation, and sound and light warnings and voice broadcasts of over-threshold states, so as to ensure that construction personnel can obtain safety information in a timely manner. The support system includes a vibrating wire stress acquisition instrument (5), an analog load acquisition instrument (6), a switching power supply (7), a gigabit industrial switch (8), a cable tray (9), and a relay (13), which are used to complete the acquisition and conversion of sensor signals, the uploading and transmission of monitoring data, as well as the line arrangement and circuit control linkage, to ensure the overall stable operation of the device; The signal output terminals of the load sensor (11), stress sensor (12), and wind speed sensor (14) are extended into the cabinet (1) via lines and connected to the signal input terminals of the vibrating wire stress acquisition instrument (5) and analog load acquisition instrument (6) of the support system via cable trays (9). The signal output terminals of the vibrating wire stress acquisition instrument (5) and analog load acquisition instrument (6) are respectively connected to the monitoring display (2), buzzer alarm (3), voice alarm (4) of the interactive system and the gigabit industrial switch (8) of the support system. All the above-mentioned electrical components are electrically connected to the switching power supply (7) of the support system, forming a complete signal transmission circuit and power supply circuit through lines and cable trays (9).

2. The multi-parameter intelligent monitoring device for a cantilever bridge construction machine according to claim 1, characterized in that, The support system also includes a cabinet (1), inside which a vibrating wire stress acquisition instrument (5), an analog load acquisition instrument (6), a switching power supply (7), a gigabit industrial switch (8), a relay (13), and a cable tray (9) are fixedly installed.

3. The multi-parameter intelligent monitoring device for a cantilever bridge construction machine according to claim 2, characterized in that, The cabinet (1) is equipped with a rotatable switch door (17) on the outside. The back of the switch door (17) is embedded in the monitoring display (2). The switch door (17) has a transparent window in the area corresponding to the front of the monitoring display (2) to facilitate observation of the content displayed on the monitoring display (2). A buzzer alarm (3) and a voice alarm (4) are also fixedly installed at the bottom of the monitoring display (2).

4. The multi-parameter intelligent monitoring device for a cantilever bridge construction machine according to claim 1, characterized in that, The number of load sensors (11) is 12, and they are distributed in the front anchor point and rear anchor point area of ​​the hanging basket (15); the wind speed sensor (14) is fixedly installed on the top of the hanging basket (15).

5. The multi-parameter intelligent monitoring device for a cantilever bridge construction machine according to claim 1, characterized in that, There are eight stress sensors (12), which are installed on the key monitoring sections of the main beam of the bridge; the stress sensors (12) are resonant sensors containing a tensioned metal string (16).

6. The multi-parameter intelligent monitoring device for a cantilever bridge construction machine according to claim 5, characterized in that, The specific installation locations of the stress sensor (12) include: the area of ​​the front support platform (20) of the main beam of the bridge, the area at the junction of the front suspension beam (18) and the rear suspension beam (19), and the area of ​​the rear anchor integrated beam (21), and are arranged symmetrically along the central axis of the bridge.

7. A multi-parameter intelligent monitoring method for a cantilever bridge construction machine, characterized in that, Monitoring is performed using the multi-parameter intelligent monitoring device for a cantilever bridge construction machine as described in any one of claims 1-6, specifically including the following steps: S1: Multi-parameter synchronous acquisition: Through the sensors in the sensing system, the load data of the anchor rod (10), the stress data of the main beam of the bridge and the environmental wind speed data are collected synchronously. S2: Signal processing and transmission: The acquired analog signals are converted into digital signals by the analog load acquisition instrument (6) in the support system, and filtered and compensated. The spatiotemporal alignment of multiple data is ensured by the hardware clock synchronization mechanism. S3: Data fusion analysis and safety assessment: Based on the received digital signals, the actual load of the anchor rod (10) and the actual stress of the main beam are calculated in real time, and combined with wind speed data, the structural safety status is assessed through the preset load transfer function; S4: Real-time early warning and information interaction: When the evaluation result exceeds the preset safety threshold, the sound and light alarm is activated through the interactive system, and the parameter data and alarm status are displayed in real time on the monitoring display (2).

8. The multi-parameter intelligent monitoring method for a cantilever bridge construction machine according to claim 7, characterized in that, The formula for calculating the actual load value in S3 is: Actual load value = (load sensor range - 0) / (16384 - 3276) * acquisition modulus The actual stress of each anchor rod (10) and the main beam was calculated.

9. The multi-parameter intelligent monitoring method for a cantilever bridge construction machine according to claim 7, characterized in that, The relative strain detected by the equipment is measured in S3, and the relative stress value is calculated based on the elastic modulus of the equipment's steel structure. The specific calculation formula is as follows: Strain = K*(f1²-f0²) + K1*(T1²-T0²) Stress = Elastic modulus * Strain The stress coefficient is denoted as K, the current measurement frequency as f1, the frequency at 0 points as f0, and the current temperature value as T1. The temperature at 0 is denoted as T0, the temperature coefficient is denoted as K1, and the elastic modulus is taken as the steel structure modulus, denoted as 206000MPa.

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