37 results about "Bridge Collapses" patented technology

The invention belongs to the technical field of bridge monitoring, and particularly relates to an intelligent detection and early warning method and system for bridge collapse, and the method achieves the continuous and synchronous monitoring of a key region of a bridge through the deployment of a composite sensing node with a multi-physical field sensing capability. The time-frequency domain joint analysis and empirical mode decomposition technology is combined to effectively separate environmental interference and structure real response components; constructing a local rigidity evolution trajectory based on the structural response dominant component, and identifying a starting moment when the rigidity is significantly reduced by using a dual-threshold criterion; and multi-scale precursor features in the damage evolution process are further mined through time alignment recombination, space thermodynamic diagram generation and multi-region collaboration analysis. According to the method, the accuracy of small damage identification and the reliability of early warning are remarkably improved, the structure performance degradation process can be stably tracked under the actual service condition with complex environmental interference, and interpretable and traceable intelligent early warning support is provided for the bridge collapse risk.

The invention relates to the technical field of highway bridge demolition, in particular to a mechanical demolition construction method for a slant leg rigid frame bridge. Through the means of combining on-site actual measurement and numerical simulation analysis, a non-linear refined bridge demolition model is adopted, and the whole construction process of bridge mechanical demolition is reasonably simulated. And performing whole-process finite element analysis and comparison on the to-be-broken bridge to accurately obtain the collapse state of the bridge and the deflection limit value of the collapse of the bridge. Bridge breaking is carried out according to the optimal breaking sequence, and risk early warning can be effectively carried out. According to the technical scheme, on the basis of the scheme, real-time monitoring is further carried out in the whole forcible entry process through a strain sensor and long-distance deflection measuring equipment. And the construction risk of mechanical forcible entry is further reduced.

The invention relates to an expressway bridge collapse identification and early warning method based on vehicle dynamic monitoring, which belongs to the technical field of bridge safety monitoring, and comprises the following steps: if a vehicle falls into a bridge in a target bridge section, comparing with a bipartite model threshold based on a vertical acceleration, a vertical acceleration change rate and a three-axis resultant acceleration; whether the vehicle falls on the bridge or not is judged; under the condition that the vehicle falls to the bridge and falls to the water surface, the number of vehicles falling to the bridge, the first disaster correlation of the weather data associated with the vehicle falling to the bridge and the second disaster correlation of the social media data associated with the vehicle falling to the bridge are obtained; determining the credibility of the collapse state of the target bridge section based on the number of the vehicles falling into the bridge, the first disaster correlation of the vehicles falling into the bridge associated with the meteorological data and the second disaster correlation of the vehicles falling into the bridge associated with the social media data; and based on the credibility of the collapse state of the target bridge road section, issuing early warning information of the collapse state of the target bridge road section.

The application relates to a bridge collapse identification method and system based on vehicle mobile terminal sensing data, and belongs to the technical field of bridge safety monitoring. The method comprises the following steps: in the case that a target vehicle is determined to be located on a bridge section based on relative positions, monitoring driving acceleration of the target vehicle according to IMU data of a vehicle mobile terminal; in the case that a mutation occurs in vertical acceleration in the driving acceleration of the target vehicle, judging whether the target vehicle appears a bridge falling state caused by bridge collapse based on the vertical acceleration and synthetic lateral acceleration; if the target vehicle appears the bridge falling state caused by bridge collapse, obtaining jerk of the vertical acceleration, and determining bridge falling time information of the target vehicle based on the jerk; and based on the bridge falling time information of the target vehicle and falling heights of multiple vehicles when falling off the bridge, adjusting the credibility of the bridge collapse based on the falling heights of the multiple vehicles when falling off the bridge, so as to improve the determination accuracy and credibility of the bridge collapse state.

The utility model discloses a bridge collapse warning device, which relates to the technical field of disaster early warning and comprises a traction connecting device, an alarm device and a fixed guide device, one end of the traction connecting device is fixed at any position on a tunnel portal or a bridge, and the other end of the traction connecting device is connected with the alarm device; the alarm device gives an alarm when the traction connecting device is separated and disconnected; the fixed guide device is arranged at the bottom or the side edge of the bridge in the length direction of the bridge, and the traction connecting device penetrates through the fixed guide device. The bridge collapse warning device is installed on a side guardrail of a bridge through the steel wire rope and the connecting pipe, the switch can be triggered to be closed through the steel wire rope after the bridge collapses, so that a closed-loop circuit is formed among the switch, the warning lamp and the power supply, and the warning lamp emits warning light at the position, 100-150 m away from the bridge, in a tunnel. The warning device plays a role in warning vehicles going to enter the bridge, effectively eradicates or reduces major safety accidents caused by collapse of the bridge on the mountainous road, and guarantees driving safety on the bridge and the road in the mountainous area.

The invention discloses a test method for judging whether a damaged T-beam bridge target can meet the passing requirement of an armored vehicle, and belongs to the field of test and evaluation. According to the method, factors such as brake, wheel track and wheel base of the armored vehicle are considered, an equivalent loading block is used for simulating the armored vehicle, and a loading test is carried out at the most unfavorable position of a T-beam bridge target through graded load loading. If the bridge collapses in the loading process, taking a lower level of load to represent the target traffic capacity of the damaged T-beam bridge; and if the bridge is not collapsed, loading a larger level of load until the load is loaded to the maximum tonnage of the simulated armored vehicle, and finally judging whether the T-beam bridge target can meet the passing of the armored vehicle or not. According to the test method, the equivalent loading block is used for replacing the armored vehicle, a graded load loading mode is used, the traffic capacity of the damaged T-beam bridge target is obtained, the test cost is saved, safety risks are avoided, and accurate judgment can be provided for whether the military armored vehicle passes through the damaged T-beam bridge target or not.

The invention provides a traffic optimization and influence evaluation method based on a space-time traffic network model, and the method comprises the steps: constructing a space-time traffic network model, and obtaining space-time information based on a graph theory through the historical traffic flow data, and predicting the future traffic flow; the bridge collapse influence is evaluated, and traffic flow and stakeholders are involved; a multi-target bus route optimization model is constructed, bus station distribution is optimized, and multi-target optimization is achieved; determining an optimal traffic network project by using an analytic hierarchy process, and analyzing advantages and influences of the optimal traffic network project; according to the method, the space-time traffic network model is constructed, so that the traffic flow can be predicted, and particularly, the influence of emergencies on traffic is considered; through a bus route multi-objective optimization model, bus station distribution is optimized, the coverage rate of a bus network is improved, and the operation cost and the average commuting time are reduced; the traffic network project is comprehensively evaluated, the advantages of each project and the influence on different stakeholders are comprehensively analyzed, and a scientific basis is provided for traffic planning and decision making.

The embodiment of the invention discloses a method and equipment for determining ship-collision-resistant fortification ship type parameters of a bridge and a medium, and relates to the technical field of bridge risk assessment. The method comprises the steps that a ship-to-bridge collision model is constructed, and the ship-to-bridge collision model is used for reflecting the relation among ship-to-bridge displacement, mass and rigidity; determining a calculation formula of a net displacement ratio and an energy ratio of the ship and the bridge according to the ship-bridge collision model; according to the calculation formula and the law of conservation of energy, determining an expression of the initial navigational speed of the ship about the energy absorbed by the pier; determining a navigational speed threshold expression for preventing the bridge from collapsing under different ship tonnages according to the expression and the maximum threshold of the bridge pier displacement; and according to the ship speed threshold expression, determining fortification ship type parameters of the bridge pier. According to the embodiment, fortification ship type parameters can be determined according to bridge pier structure characteristics and service stages.

The application discloses a bridge collapse early warning method and system based on a bridge image and a neural network. The method comprises the following steps: acquiring a bridge image of a bridge prone to collapse; performing pretreatment and feature extraction on the bridge image to obtain bridge high-level features containing bridge structures and vehicle distribution; inputting the bridge high-level features containing the bridge structures and the vehicle distribution into a trained neural network model to output a prediction result of bridge collapse and vehicle drop; evaluating whether the bridge has a bridge collapse risk or a vehicle drop risk based on the prediction result of the bridge collapse; and performing bridge collapse early warning of a corresponding level according to the evaluation result of the bridge collapse risk or the vehicle drop risk. The application realizes bridge collapse prediction by extracting high-level features of a bridge image and combining a neural network, and can perform real-time early warning according to the predicted bridge collapse risk, thereby improving the accuracy of bridge collapse prediction and the real-time performance of early warning.

The invention discloses an inter-tunnel bridge collapse sound image grading early warning and inflation road sign laying system and method. The system comprises an optical fiber detection module, a broadcast early warning module, a sound image synchronous early warning module and an inflation road sign laying module. The optical fiber detection module monitors the inter-tunnel bridge state in real time, and when collapse risks are detected, an early warning instruction is sent out; the broadcast early warning module carries out broadcast early warning at the tunnel entrance according to the early warning instruction to remind passing vehicles to pay attention; the sound-image synchronous early warning module realizes sound-image synchronous early warning in the tunnel, so that the warning effect is enhanced; and after the inflatable road sign laying module receives the early warning instruction, two groups of inflatable traffic signs are laid at the upstream 2KM position of collapse of the inter-tunnel bridge. According to the invention, social vehicles can be effectively prevented from entering dangerous areas in advance, secondary accidents are avoided, reliable guarantee is provided for tunnel traffic safety, and the tunnel operation safety level is improved.

The invention discloses a servo top supporting method for overhead sensitive buildings and structures, and relates to the technical field of traffic engineering. The method comprises the following steps: S1, surveying and setting out; s2, blocking road traffic; s3, equipment entering; s4, top supporting equipment is installed; s5, initial pre-stress force is set; s6, performing automatic compensation; and S7, dismantling. The construction method is an innovative construction method different from a conventional shield underneath passing existing railroad bridge protection mode, the bridge can be supported when shield underneath passing railroad bridge construction is carried out, the risks of collapse and the like caused by excessive settlement of the bridge are avoided, the influence of shield construction is reduced, and the safety of the railroad bridge in the shield construction period is effectively ensured.

The present application belongs to the technical field of intelligent transportation, and relates to a bridge structure state intelligent monitoring method and system based on multi-modal optical feature cross-validation. The present application ingeniously utilizes the existing and ubiquitous mobile light source (i.e. the vehicle lights of the driving vehicles) on the night road and the optical reflection target (i.e. the facade contour marker) on the bridge, takes the interaction of the two as a kind of new passive monitoring signal, combines the tail light point trajectory of the dynamically captured vehicles passing through the bridge, and constructs an intelligent monitoring system of cross-validation and mutual complementation by fusing the double optical feature abnormalities of the dynamic traffic flow (vehicle tail light) and the static facility (bridge marker anomaly), so as to realize the instantaneous early warning of the bridge collapse and other major risks with higher reliability and lower false alarm rate.

The utility model belongs to the technical field of bridge road safety monitoring and early warning, and mainly relates to a bridge collapse open circuit monitoring and early warning system, which comprises a UPS (Uninterrupted Power Supply) module, a data acquisition and processing module and an early warning module, the UPS power supply module comprises a solar panel, a lithium battery and a UPS power supply, and the solar panel and the lithium battery supply power to the UPS power supply module; the data acquisition and processing module comprises an upper computer, an optical transceiver A-end transmitting end, an optical transceiver B-end receiving end and a relay; the upper computer is connected with the A-end transmitting end of the optical transceiver, the B-end receiving end of the optical transceiver and the relay through serial port lines. According to the utility model, local early warning can be realized without an external network, and vehicles running on a lane are reminded outside a safe distance of a collapsed road section; remote transmission of road and bridge field collapse conditions can be realized, road states can be checked in real time at a mobile phone terminal, road management departments can find early warning in time and take effective measures such as circuit breaking in time, and further expansion of disasters is effectively prevented.

The invention relates to a bridge collapse dual-mode trigger grading early warning method, and the method achieves the grading early warning through the combined judgment of a risk through a dual-mode trigger mechanism based on data deviation and load type recognition, and the combination of the self-adaptive adjustment of a threshold value based on reinforcement learning. The invention further relates to an early warning system using the bridge collapse dual-mode triggering grading early warning method. The early warning system comprises a multi-mode data acquisition and abnormity triggering module, a model fine adjustment module, a risk judgment module and an optimization and synchronization module. According to the invention, the early warning response speed is improved, the balance of rapidity and reliability of the early warning system is realized, and the accuracy and practicability of the early warning system are improved.

The utility model discloses a road bridge collapse and landslide early warning device which comprises a display assembly and an early warning assembly, the display assembly comprises a vertical pile, an LED display screen and an installation frame, the installation frame is fixed on the vertical pile, the LED display screen is fixed in front of the installation frame, an audible and visual alarm is arranged on the LED display screen, a right-angle frame is arranged on the upper side of the back face of the installation frame, and the right-angle frame is connected with the early warning assembly. A photovoltaic panel is obliquely arranged on the right-angle frame, a box body is arranged on the right-angle frame, a power source, a controller and an inverter are arranged in the box body, the photovoltaic panel is electrically connected with the power source through the inverter, and the early warning assembly comprises a pressure trigger sensor and a horizontal trigger sensor. Once relevant roads and bridges are abnormal (slight cracks and larger potential risks), the early warning assembly can be triggered to remind and warn vehicles.

The utility model provides a fixing device suitable for a bridge collapse chain type monitoring unit. The fixing device comprises a fixing base and a cover plate. The fixing base is in a three-layer step shape, a base groove is formed in the central symmetry axis, perpendicular to the extending direction of the step, of the first layer of the step, first round holes are symmetrically formed in the two sides of the base groove, the kicking faces of the first layer and the second layer of the step are first arc-shaped grooves, and the tops of the first arc-shaped grooves extend towards the first round holes by a certain distance. Two first rectangular clamping grooves are formed in the second layer of the step and symmetrically formed in the two sides of the extension line of the central symmetry axis of the base groove of the base, and two second round holes are formed in the third layer of the step and symmetrically formed in the two sides of the extension line of the central symmetry axis of the base groove of the base; the cover plate is in a two-layer reverse step shape corresponding to the first step layer and the second step layer of the fixed base and is provided with a sliding groove corresponding to the base groove of the base, a second rectangular clamping groove corresponding to the first rectangular clamping groove and a second arc-shaped groove corresponding to the first arc-shaped groove.

The utility model provides a road and bridge collapse automatic alarm system, comprising a first mounting plate arranged on a first pavement slab body; a mounting column is arranged on the first mounting plate; the second mounting plate is arranged on the second pavement slab body; a rotating column and an alarm body are adjacently arranged on the second mounting plate; the alarm rod is rotatably arranged on the rotating column; one end of the alarm rod sleeves the mounting column, and the other end of the alarm rod is arranged below the alarm body; a limiting block and an adjusting block are arranged on the mounting column, an action space is formed between the limiting block and the adjusting block, and one end of the alarm rod sleeves the action space; the alarm device is arranged on a fence of the road and bridge and is connected with the alarm body; the road and bridge collapse automatic alarm system provided by the utility model is in a detection state before the road and bridge collapse, and at the moment, excessive energy consumption is not needed; and when collapse occurs, the collapse condition can be detected in time, and an alarm is given, so that accidents are avoided.

The invention discloses a bridge collapse accident flexible water curtain blocking system based on Beidou automatic monitoring, which comprises an intelligent control terminal, a base, a water curtain device mounted on the base, a high-brightness laser projection device, a tweeter and a detection device, the water curtain device, the high-brightness laser projection device, the tweeter and the detection device are connected with the intelligent control terminal, and the intelligent control terminal receives accident warning information sent by the bridge monitoring and early warning system based on Beidou automatic monitoring and controls the water curtain device to form a water curtain barrier at a bridge entrance. The high-brightness laser projection device projects high-brightness laser displaying accident warning information on the water curtain barrier, meanwhile, the tweeter gives out alarm sound to prevent vehicles from entering the bridge, and the detection device collects bridge running state information and vehicle information in the bridge and uploads the information in real time. According to the invention, the barrier-free flexible blocking effect which is clear and visible from a long distance in all weathers in daytime or sunny days is realized, and the effect of effectively blocking vehicles at the bridge entrance is realized.

The invention relates to a construction method for newly building an arch bridge in situ of an old bridge. The construction method comprises the steps that arch foot foundations are newly built at the two ends of a main beam of the old bridge, and steel pipe arch construction is conducted on the arch foot foundations; a plurality of slings are installed on the steel pipe arch, supporting ropes are installed at the bottom of the old bridge girder section by section, and each supporting rope section is connected with the corresponding sling; the old bridge girder is cut and dismantled segment by segment with the old bridge pier as the center, and the old bridge girder is transported to the set position segment by segment; and a new bridge girder is erected, and the new bridge girder is connected with the steel pipe arch through the slings to form the newly-built arch bridge. A sling on a new bridge steel pipe arch is used for lifting an old bridge girder, and the old bridge girder is symmetrically cut and dismantled section by section with an old bridge pier as the center, so that the risk that an old bridge collapses due to unbalanced stress in the dismantling process is reduced, normal navigation in the dismantling and building construction process is guaranteed, and the construction efficiency is improved. The technical problems that in the prior art, the construction period for dismantling and rebuilding a conventional old bridge is long, the old bridge is prone to collapse in the dismantling process, and navigation is interrupted are solved.

The utility model discloses a road and bridge collapse early warning structure and system, and relates to the technical field of geological disaster early warning. The early warning structure comprises a follow-up part and a touch part, one end of the follow-up part is fixedly provided with a fastener, and the touch part is also fixedly provided with a fastener; the touch part comprises a trigger mechanism, a signal transmission device and a box body; the early warning system comprises a plurality of the road and bridge collapse early warning structures and further comprises a road surface, a plurality of grooves are formed in the road surface, and the early warning structures are arranged in the grooves. According to the utility model, the plurality of fixed bodies are connected through the plurality of connecting bodies, so that the length or the length of the follow-up part formed by the plurality of fixed bodies and the plurality of connecting bodies can be adjusted, and the follow-up part can be suitable for wide or narrow roads; the follow-up part is laid in the groove formed in the surface of the road, and compared with an early warning structure pre-buried in a roadbed, the road early warning device can be used for a built road and can also be applied to a bridge for early warning and monitoring.

The invention relates to a bridge catastrophe identification method based on an image mode. The method comprises the following steps: acquiring a bridge target image and a bridge floor information image in real time; performing target point identification on the bridge target image, and calculating deviation of each target point along the bridge direction at different moments; recognizing the bridge floor information image through a prediction model obtained through pre-training to judge whether the appearance contour state of the bridge is abnormal or not; and judging whether to give an alarm or not according to the deviation and the bridge appearance contour state. According to the bridge catastrophe recognition method based on the image mode, the bridge target image and the bridge floor information image are collected in real time, whether major catastrophe such as bridge collapse occurs or not is accurately judged by judging the deviation amount and the bridge appearance contour state, alarm pushing is carried out in real time, and after the major catastrophe such as the bridge collapse accident occurs, the bridge target image and the bridge floor information image are recognized. And a secondary accident is caused.

The present application belongs to the field of automobile active safety and intelligent transportation technology, and relates to a night road and bridge collapse early warning method and system based on visual perception. The method comprises the following steps: step one, establishing a normal disappearance rule benchmark model of a preceding vehicle tail light and a normal optical characteristic model of a roadside vertical sign; step two, performing preliminary calculation of a collapse confidence, giving a first collapse confidence A1, and simultaneously analyzing the roadside vertical sign, if the optical characteristics of the vertical sign detected do not conform to the normal optical characteristic model rule, then giving a second collapse confidence A2; step three, comparing the bridge collapse comprehensive confidence A with a preset threshold value to determine whether to issue a warning. The present application can quickly detect bridge collapse hazards at night, provide instant warning for vehicles in motion, and avoid the delay and non-real-time problems of traditional fixed sensors or manual inspection.

The utility model discloses a bridge collapse monitoring, alarming and damage reducing device, which relates to the technical field of bridge safety monitoring and comprises an abutment and a cover beam in a bridge. The bridge collapse monitoring, alarming and loss reducing device comprises a power supply module for supplying power to the whole device, an abutment monitoring assembly for monitoring the displacement of bridge parts, a monitoring box for recording the state of a bridge, a signal lamp display module for prompting the state of the bridge, and a centralized monitoring terminal arranged outside the bridge, the abutment monitoring assemblies are arranged on the abutments of the bridges, each abutment monitoring assembly comprises a distribution box and a displacement change sensing switch, and the plurality of abutment monitoring assemblies are connected in series for redundancy. When the displacement of the abutment and the bridge exceeds the preset value, the bridge of the fixed section is monitored through the abutment assemblies connected in series, and the monitoring accuracy is improved.

The invention discloses a bridge collapse alarm system based on an inclination angle and acceleration, and relates to the technical field of bridge safety monitoring, a distributed acquisition unit is adopted, acquisition nodes are arranged at key positions of a bridge at preset intervals, and vertical acceleration data and inclination angle data of the bridge are monitored and acquired in real time; the information is collected to the acquisition unit through wireless communication; the data processing host receives and stores the data, determines a reference characteristic average inclination angle and an inherent frequency reference value, processes the real-time data, extracts a rigidity degradation index, an inclination angle variable quantity and a torsion variable quantity, and calibrates state identifiers for bridge segments according to the rigidity degradation index, the inclination angle variable quantity and the torsion variable quantity; the host synthesizes each identifier to evaluate a risk bridge segment, triggers grading alarm signals of different risk grades, and issues the grading alarm signals to the sound-light alarm execution unit through a wireless network, and the sound-light alarm execution unit responds to the signals and issues on-site sound-light warnings; through accurate monitoring and intelligent analysis, real-time early warning of bridge collapse risks is realized, and bridge safety is guaranteed.

The present invention provides a bridge collapse prevention buffer chain that can prevent stress concentration at the contact points between rings when an impact load is applied. [Solution] A bridge collapse prevention buffer chain 1, comprising a ring connector 2 in which multiple rings are connected to each other, and a covering 3 covering the ring connector 2, connects a bridge superstructure such as a bridge girder to a bridge substructure such as a bridge abutment or bridge pier to prevent the bridge superstructure from falling, wherein the ring connector 2 is covered with a rubber elastic material except for a part of the end rings 21a (21b) at the ends, the end rings 21a (21b) and adjacent rings 22a (22b) are brought into contact, and the wire diameter of the ring steel material of one or both of the end rings 21a (21b) and adjacent rings 22a (22b) is set to be larger than the wire diameter of the ring steel material of the other rings of the ring connector 2.

The invention discloses a slope landslide and bridge collapse disaster monitoring and early warning method and system, and relates to the technical field of traffic safety monitoring, and the method comprises the steps: constructing a heterogeneous graph structure of multi-source nodes, inputting the heterogeneous graph structure into a heterogeneous graph attention coding model for feature fusion, and outputting a first alarm score of each node; weighting the first alarm score based on image confidence of adjacent camera nodes to obtain a re-calibrated alarm score of each node; and constructing time sequence input, performing graph convolution and time convolution processing on the time sequence input based on a dynamic space-time graph convolution network, when a node re-calibration alarm score exceeds a threshold value, triggering an early warning blocking action, returning a processing result as a training sample, and performing incremental updating on the model. According to the method provided by the invention, large-range and full-link disaster monitoring is realized, and the false alarm rate is reduced. Risk features are captured at the same time in the time sequence dimension and the space topology, and early warning of the disaster trend is achieved.

The invention provides a timely alarm system for occurrence of major disasters of bridge collapse. The timely alarm system is mainly composed of a plurality of displacement pressure control switches arranged at two ends of a bridge box, information wireless sending modules connected with the displacement pressure control switches, a wireless information collection control module, reminding warning lamps, voice warning horns and a management center, wherein the reminding warning lamps and the voice warning horns are arranged at two ends of a bridge. The management center develops management system software, can judge accident occurrence position nodes according to program software and received signal data, and simulates and generates damage general situation graphs and tables. The management center can also push'emergency stop 'information to a mobile phone and a vehicle navigation system client in an accident occurrence area range through mobile communication and satellite communication in a combined manner according to setting conditions, and meanwhile, can operate an unmanned aerial vehicle workstation arranged near a site through the management center, collects image data of the site at the first time, and sends the image data to the mobile phone and the vehicle navigation system client. Therefore, disaster loss can be quickly judged, and follow-up management and control measures and schemes can be formulated.

The invention discloses a bridge intelligent safety alert method and system for road traffic, and the method comprises the steps: collecting vibration frequency, displacement deformation and stress distribution data in real time, and generating a state monitoring data set of a bridge structure in combination with bridge deck vehicle load distribution information obtained by an image recognition unit; based on the state monitoring data set, utilizing a pre-trained deep neural network model to carry out structure health degree evaluation, and outputting a structure safety situation map containing a structure stability index and a potential risk area; generating multi-color early warning signals corresponding to different danger levels according to the structure safety situation map; and triggering a grading response mechanism according to the multi-color early warning signal, and automatically controlling the intelligent warning device installed at the bridgehead position to switch a warning mode and execute a corresponding warning combination. According to the embodiment of the invention, the prospective accurate perception of the bridge collapse risk can be realized, and the automation level of safety alert and the emergency disposal efficiency are improved by means of a graded early warning and linkage control mechanism.

The invention relates to the related technical field of intelligent cable bridges, in particular to an intelligent large-span cable bridge crumple active compensator with break angle allowance and a compensation method thereof.The active compensator is arranged between two bridges and comprises two sets of frame structures; the frame structure comprises a first frame body and a second frame body which are rotationally connected through a shaft piece. The first cross arm is arranged between the first frame body and the second frame body, the second cross arm is fixed with the first cross arm, a cross rod is arranged on the first cross arm, and two symmetrically arranged cylindrical springs sleeve the periphery of the cross rod; the two first sliding blocks are arranged on the first cross arm in a sliding mode, the first sliding blocks are further connected with the cross rod in a sliding mode, and the head ends of the cylindrical springs are connected with the first sliding blocks; active compensation of the cable bridge is achieved through the cylindrical spring, the adverse effect of the longitudinal offset factor on the telescopic compensation capacity in the length direction of the cable bridge is avoided, and compared with a passive compensation mode, effective guarantee is provided for the stability of the large-span cable bridge.