92 results about "Transportation infrastructure" patented technology

The invention discloses a traffic infrastructure full life cycle carbon emission assessment method based on a knowledge graph. The method comprises the steps that knowledge is acquired through multi-source data acquisition, entities, attributes and relations related to carbon emission are defined, and knowledge graph ontology design and graph construction are carried out; establishing a carbon emission evaluation model based on an artificial neural network on a framework of the knowledge graph through data preprocessing, multi-layer perceptron network structure design and model training; and in combination with the carbon emission evaluation result and the optimization knowledge in the knowledge graph, generating a specific optimization strategy, and performing combinatorial optimization of the optimization strategy to formulate a recommendable optimization scheme for execution of an optimization decision. According to the scheme provided by the invention, carbon emission can be accurately quantified, a scientific and reasonable optimization strategy is generated, dynamic adjustment is supported, and a systematic and intelligent solution is provided for green and low-carbon development of traffic infrastructures and other engineering projects.

The invention relates to the technical field of traffic infrastructure maintenance, and particularly discloses a method for evaluating the anti-collision toughness of a rusted steel bar bridge structure after ship collision, and the method comprises the following steps: firstly, building a rusted bridge pier finite element model based on a rusted steel bar concrete theoretical degradation model; simulating ship collision by adopting an equivalent static method, and determining dynamic damage factors of the ship; structural nonlinear static analysis and nonlinear dynamic analysis are conducted by considering sudden external force to obtain a bridge function loss function, and then a bridge function is calculated; constructing a response surface agent model to perform dynamic response prediction; determining a bridge structure damage state judgment criterion; the vulnerability of the rusted bridge is calculated through Monte Carlo simulation; and according to the bridge function loss function, combining the repair time and the recovery function to calculate a structure anti-collision toughness index. The method provided by the invention fills up the blank of ship collision resistance toughness evaluation of the coastal rusted bridge pier, provides a scientific basis for bridge safety evaluation and maintenance decision, and is of great significance for guaranteeing safe operation of the bridge.

The invention discloses a road corrugated plate integrity detection method based on a vehicle-mounted three-dimensional camera, and relates to the technical field of traffic infrastructure intelligent management and maintenance, and the method comprises the steps: generating a system configuration file through camera internal geometric parameters and multi-line light plane calibration; collecting an image sequence in real time, and extracting a light strip center pixel coordinate; based on a system configuration file, carrying out back projection on the pixel coordinates to solve a three-dimensional intersection point to generate three-dimensional point cloud data of the waveform plate; extracting the three-dimensional point cloud data to obtain the three-dimensional point cloud data of the segmented waveform plate; fitting a reference surface to calculate a height deviation value from a point to a plane; sampling according to multiple layers and multiple intervals and forming a feature string; comparing and identifying defect types and degrees bit by bit; and analyzing the aging trend of the corrugated plate based on historical data. According to the method, the multi-level three-dimensional geometrical characteristics of the surface of the corrugated plate can be efficiently obtained, and automatic identification and positioning of defects are realized.

The invention discloses an offshore island group deep soft soil foundation and traffic infrastructure structural system toughness collaborative evaluation system and method, and the system comprises a sampling module which is used for sampling an offshore island group deep soft soil foundation, and carrying out the indoor test of a sample to obtain the physical and mechanical parameters of a soil body; the response characteristic extraction module is used for establishing a dynamic response analysis model of the deep soft soil foundation of the offshore island group based on the physical and mechanical parameters of the soil body and the resistance investigation data, and calculating the dynamic response characteristics of the foundation under different working conditions based on the dynamic response analysis model of the deep soft soil foundation of the offshore island group; the index selection module is used for selecting the toughness evaluation index of the traffic infrastructure structure system by combining the dynamic response characteristics of the foundation and the characteristics of the deep and thick soft soil foundation of the offshore island group; and the collaborative evaluation module is used for evaluating the toughness of the traffic infrastructure of the deep and thick soft soil foundation of the offshore island group by using the toughness evaluation index points, determining the toughness grade and completing the toughness collaborative evaluation method.

The invention belongs to the technical field of computer vision and intelligent traffic, and particularly relates to a roadside long-distance three-dimensional target detection method based on prior geometric information guidance. According to the method, key modules such as vanishing point clipping, three-dimensional query generation and Range Position Embedding are introduced, so that the problems of sparse target pixels, unstable depth estimation and the like in a long-distance scene can be effectively solved, and accurate detection and positioning of multiple types of targets (vehicles, pedestrians, riders and the like) on the road side in a long-distance range are realized. The method can be widely applied to the fields of intelligent traffic infrastructure perception, vehicle-road cooperation, automatic driving and the like, and the intelligence and reliability of road monitoring and safety protection are improved.

A method is provided that enables aircraft to contribute to global cooling by flying at select locations, altitudes, and times. An aircraft will deviate from its planned departure time and flight path to “harvest” prime sections of the atmosphere. Consequently, just as passengers have the option to lower their ticket prices by choosing inconvenient departure times and longer indirect flights, adoption of the method by the airline industry will enable passengers to trade these same options for a lower “environmental price”. The method enables the airline industry to switch from a contributor to global warming, to a contributor to global cooling. In this respect, the method enables the airline industry to be a global cooling technology comparable to carbon capture and sequestration. Unlike the immense capital investment required by other global cooling technologies, the method requires no capital investment because it exploits the existing multitrillion-dollar global air transportation infrastructure.

The invention discloses an automobile charging station AC / DC power distribution area operation optimization method and system, and relates to the technical field of new energy traffic infrastructure, and the method comprises the steps: collecting the voltage, current and temperature data of power distribution equipment through a sensor network, and if the voltage exceeds a preset threshold value, or the current exceeds the path load capacity, or the temperature is higher than a safety range, executing the operation; if yes, judging that the equipment is in fault, obtaining a fault equipment identifier and a fault type, generating global operation parameters containing node storage capacity and a control instruction set, and synchronizing the global operation parameters to all distributed controllers through a broadcast mechanism to obtain a consistent system operation state; according to the automobile charging station AC / DC power distribution area operation optimization method and system, the technical bottlenecks of a traditional power distribution system in the aspects of slow fault response, single control structure, static resource allocation and the like are broken through, and an intelligent, high-reliability and high-adaptability operation optimization scheme is provided for new energy automobile charging infrastructures; and the stability and continuity of the charging service are obviously improved.

The invention discloses a rapid detection method and system for a pavement cavity forming area, and relates to the technical field of intelligent detection, and the method comprises the following steps: screening a to-be-detected area to obtain a first area, carrying out the segmentation to obtain a key area and an associated area, and carrying out the detection to obtain a first result and a second result, the first analysis obtains a first void degree and a second void degree, and constructs a first mapping relationship. According to the method, the to-be-detected area is reduced to the first area through natural cause screening, the calculated amount is reduced, conversion from fishing of a large sea needle to fishing of a pond is realized, a time attenuation factor is introduced, the first area is divided into a key area and an associated area, the detection resource allocation efficiency is improved, and a ternary decision system of geology, engineering and big data is constructed; the core value of the method lies in that invisible underground risks are converted into computable space probability, and the method accords with the intelligent evolution direction of traffic infrastructure.

The invention discloses a regional hydrogen energy storage and transportation infrastructure dynamic planning optimization method and system. The method comprises the following steps: defining system parameters of the polymorphic hydrogen energy region storage and transportation system; constructing a target function of the polymorphic hydrogen energy region storage and transportation system, wherein the target function is used for minimizing the total cost of polymorphic hydrogen storage and transportation; establishing constraint conditions of the polymorphic hydrogen energy region storage and transportation system, including production operation constraints of a form conversion link, a storage link and a transportation link, and supply and demand equilibrium constraints of hydrogen in various forms; and carrying out dynamic planning optimization on the regional hydrogen energy storage and transportation infrastructure by utilizing the system parameters, the objective function and the constraint conditions. According to the method, a complete constraint system including a form transformation constraint, a storage constraint, a transportation constraint and a supply and demand balance constraint is constructed, and the planning scheme is ensured to meet technical requirements and actual requirements.

This invention discloses a modeling method for layered soft soil subgrades reinforced with pile foundations under simulated seismic loading, belonging to the field of seismic numerical simulation in geotechnical engineering. This method constructs a multi-field coupled numerical model based on a finite element platform, defines the contact mechanisms at the pile-soil and reinforced-subgrade interfaces, and completes the construction of in-situ stress equilibrium and initial pore water pressure fields. Static results are output through fill-consolidation coupling analysis. Distributed viscoelastic artificial boundaries are automatically constructed using Python scripts, and seismic waves are converted into equivalent nodal loads using wave theory. Multi-physics field connections between static and dynamic analysis boundaries are achieved, and core response parameters such as embankment settlement and pile-soil stress are output through implicit dynamic analysis. This invention considers the seismic wave propagation effect in layered soils, reduces spurious oscillations caused by the transformation of static and dynamic boundaries, and improves simulation accuracy and efficiency. It is suitable for seismic design and analysis of transportation infrastructure in soft soil areas.

This invention discloses a method for constructing a comprehensive transportation infrastructure spatial database based on multi-source data, including the following steps: S1, collecting data on three types of transportation infrastructure: highway, water transport, and aviation; S2, establishing a data dictionary and metadata standards based on specifications, and formulating a database partitioning strategy and interface specifications; S3, standardizing attribute data, satellite image data, and spatial vector data; S4, formulating a spatial data sharding strategy based on geographic regions, building a full-text index and spatial index system, and optimizing storage and query; S5, using MySQL, PostGIS, MongoDB, ElasticSearch, and K-V storage for collaborative management; S6, designing expansion mechanisms at the storage, retrieval, and computing layers; and S7, establishing a unified retrieval platform based on the database, integrating raster and vector data, and supporting spatial visualization and semantic retrieval. This invention enhances the ability to integrate, retrieve, and expand transportation infrastructure data, and is suitable for the construction of a comprehensive transportation information platform.

The present application discloses a method and apparatus for constructing a three-dimensional digital large model of open-set transportation infrastructure. The method includes: obtaining street view images, point cloud data containing transportation infrastructure, and prompt information corresponding to the street view images; performing object detection on the street view images based on the prompt information to obtain object detection frames; inputting the object detection frames into a segment-anything model to obtain two-dimensional masks; projecting the two-dimensional masks into three-dimensional space based on the geometric relationship between the two-dimensional masks and the point cloud data to obtain three-dimensional mask candidates; grouping the three-dimensional mask candidates based on an intersection coverage judgment strategy to obtain a group of three-dimensional mask candidates; calculating the scores of the points in the group of three-dimensional mask candidates, and determining a segmentation threshold through an Otsu threshold segmentation algorithm, taking the points with scores higher than the segmentation threshold as foreground points, and taking the set of foreground points as the target three-dimensional mask. The present application has high adaptability and can accurately identify transportation infrastructure in different urban environments.

The present invention is a system and method for providing a regenerative energy system and method for capturing kinetic energy from wave motion or the relative motion of train cars on tracks to generate electricity, wherein the system uses a hydraulic mechanism coupled to a wave motion capture system or train track components to convert vertical movement into rotational motion, wherein this rotational motion is amplified by a gear reduction assembly, driving one or more generators to produce electrical power. The generated electricity can be utilized in real time by electrical motors, stored in batteries or supercapacitors, or supplied directly to the power grid, wherein the invention integrates hydraulic conversion, motion amplification, and efficient energy transformation to create a durable, scalable system for renewable energy production, and wherein it is designed to harness repetitive, continuous movements, making it applicable for sustainable energy in coastal and transportation infrastructures.

A method for setting up an electrical transportation infrastructure in a mine includes receiving mining data for different time periods of a mining interval. The data identifies expected source locations where material is extracted and destination locations where it is delivered. Using this data, a time-dependent 3D network of the mine is determined for each period, either as separate networks of paths connecting the source and destination locations or as a single network covering all periods. Based on this network, a planned placement of the electrical transportation infrastructure is numerically determined to at least approximately minimize the expected total costs of the mine over the mining interval. These costs include estimated environmental costs from transporting material between source and destination locations, subject to mining constraints. Finally, the electrical transportation infrastructure is initialized in the mine according to the planned placement.

This invention provides a method and system for intelligent observation and planning of transportation infrastructure based on multi-aircraft collaboration, relating to the field of UAV intelligent observation technology. The method includes acquiring disaster scene, target distribution, and UAV resource information; determining sensor configuration schemes; calculating target urgency and prioritizing them for allocation; constructing access maps to generate observation sequences; planning unobstructed flight paths; controlling UAVs to execute observation tasks; and generating damage assessment results. This method achieves efficient multi-aircraft collaborative observation, improving the efficiency and accuracy of post-disaster transportation infrastructure assessment.

The present invention discloses a method and system for optimizing the operation of the AC / DC power distribution area of an electric vehicle charging station, which relates to the technical field of new energy transportation infrastructure. It includes collecting voltage, current, and temperature data of power distribution equipment through a sensor network. If the voltage exceeds a preset threshold, the current exceeds the path load capacity, or the temperature is higher than the safe range, it is determined that there is a device failure, and the failure device identifier and failure type are obtained. Global operation parameters including node storage capacity and control instruction sets are generated and synchronized to all distributed controllers through a broadcast mechanism to obtain a consistent system operation state. The method and system for optimizing the operation of the AC / DC power distribution area of the electric vehicle charging station break through the technical bottlenecks of traditional power distribution systems in aspects such as slow fault response, single control structure, and static resource allocation, providing an intelligent, highly reliable, and highly adaptable operation optimization solution for new energy vehicle charging infrastructure, and significantly improving the stability and continuity of charging services.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

The invention discloses an airport-high-speed rail traffic infrastructure double-layer network anti-disaster toughness recovery analysis method. The method comprises the following steps: establishing an airport-high-speed rail traffic infrastructure double-layer network model, and carrying out characteristic analysis on the model; calculating relative importance of a field and a high-speed rail network layer and intra-layer importance of nodes; calculating global importance of nodes in the model; selecting airport and high-speed rail nodes with large node degree values, aggregation coefficient values and global importance values for damage to obtain failure nodes in the airport-high-speed rail traffic infrastructure double-layer network model; the model toughness is evaluated by calculating the change of the double-layer network efficiency before and after node failure; and determining an optimal recovery sequence of the failure nodes based on a genetic algorithm. According to the method, the disaster resistance toughness of an airport-high-speed rail traffic infrastructure double-layer network is effectively improved, and an analysis method is provided for improvement of the operation efficiency of comprehensive three-dimensional traffic infrastructures in China and overall allocation of recovery resources under disasters.

The invention discloses an intelligent power dispatching unit and an intelligent power dispatching system thereof, and belongs to the crossing field of intelligent power grids, new energy storage and traffic infrastructures. The intelligent power dispatching unit comprises m charging piles, an energy storage system and a relay array; the relay array is arranged between the charging pile and the energy storage system and is used for power dispatching and coupling of the charging pile and the energy storage system; the energy storage system comprises n DC / DC chargers; the number of relays in the relay array is m (m + 3) / 2 + n, m is an integer greater than or equal to 2, n is an integer greater than or equal to 2, and m is an integral multiple of n. A plurality of charging piles are combined with an energy storage system and a related detection control system to form an intelligent power dispatching unit, so that the purposes of flexibly dispatching charging power, relieving peak electricity consumption pressure, charging an energy storage battery by utilizing photovoltaic or electricity price valley sections and reducing charging cost are achieved.

This invention relates to the field of transportation infrastructure maintenance technology, specifically disclosing a method for assessing the impact toughness of corroded reinforced concrete bridge structures after a ship collision. The method includes the following steps: first, establishing a finite element model of the corroded bridge pier based on a theoretical degradation model of corroded reinforced concrete; second, simulating a ship collision using the equivalent static method to determine the dynamic damage factors of the ship; third, considering sudden external forces, performing nonlinear static and nonlinear dynamic analyses of the structure to obtain the bridge's functional loss function, and then calculating the bridge's functional function; fourth, constructing a response surface proxy model to predict the dynamic response; fifth, determining the criteria for judging the bridge's structural damage state; sixth, calculating the vulnerability of the corroded bridge through Monte Carlo simulation; and finally, calculating the structural impact toughness index based on the bridge's functional loss function, combined with repair time and recovery function. The method proposed in this invention fills the gap in assessing the impact toughness of coastal corroded bridge piers, providing a scientific basis for bridge safety assessment and maintenance decisions, and is of great significance for ensuring the safe operation of bridges.

The present invention belongs to the field of infrastructure evaluation, and specifically is a method for evaluating the suitability of the spatial distribution of transportation infrastructure, comprising the following steps: evaluating the current habitat quality of the target area; analyzing the comprehensive ecological losses of occupation, obstruction, and interference that may be caused by the grid construction of transportation infrastructure in the target area as the potential comprehensive ecological effects of transportation construction in the grid; analyzing the supporting role of the resource conditions in the target area on the transportation infrastructure, as well as the level of recovery of the ecological environment under natural conditions after being disturbed by transportation construction, and quantitatively evaluating the natural conditions of transportation construction in a grid-based manner; integrating the potential comprehensive ecological effects of transportation construction and the natural conditions of transportation construction to construct an evaluation system for the carrying capacity of the ecosystem for transportation infrastructure. The present invention also provides a transportation infrastructure spatial distribution suitability evaluation system. The present invention can comprehensively evaluate the spatial distribution suitability of transportation infrastructure and improve resource utilization efficiency.

The invention belongs to the technical field of highway engineering detection, and particularly provides a target-based traffic infrastructure three-dimensional laser scanning equipment geometric error calibration system and method, and the system comprises a denoising module which is used for carrying out the denoising processing of traffic infrastructure point cloud data collected by three-dimensional laser scanning equipment, and obtaining the denoised point cloud data; the plane error calibration module is used for carrying out plane error calibration on the three-dimensional laser scanning equipment; the three-dimensional error calibration module is used for carrying out three-dimensional error calibration on the three-dimensional laser scanning equipment; and the multi-station equipment calibration module is used for carrying out multi-station equipment calibration based on the plane error calibration result and the stereo error calibration result of the multi-station three-dimensional laser scanning equipment in combination with a four-parameter method and an NDT optimization method, and completing target-based geometric error calibration of the traffic infrastructure three-dimensional laser scanning equipment. According to the technical scheme, the detection precision, efficiency and reliability of the traffic infrastructure structural body can be improved.

An energy harvesting device comprises a system for installation on or in a structure for transferring kinetic energy from a load e.g. vehicle moving across the structure to a pneumatic or hydraulic sy

The invention discloses a multi-objective collaborative optimization control method for ultra-long tunnel electromechanical equipment, and belongs to the technical field of intelligent traffic infrastructures. The method comprises the following steps: (a) preparing a distributed sensor array by adopting a multi-layer graphene-boron nitride heterostructure composite sensing material; (b) performing spatial registration based on tunnel three-dimensional deformation data obtained by laser radar scanning and fiber grating sensing data, and constructing a dynamic partition model; (c) establishing a multi-objective optimization function including three dimensions of energy consumption efficiency, equipment life and safety coefficient, and introducing an equipment maintenance cost weight factor; and (d), before collaborative optimization calculation is carried out through an improved NSGA-III algorithm, an equipment working mode pre-screening step is executed. The graphene-boron nitride heterostructure composite material is adopted, the salt spray corrosion resistance of the sensor is improved by 3 times through the plasma activation and atomic layer deposition technology, and the service life of the sensor in the 95% RH humidity environment is prolonged to 8 years or above.

The invention discloses an open set traffic infrastructure three-dimensional digital large model construction method and device. The method comprises the following steps: acquiring street scene pictures containing traffic infrastructures, point cloud data and prompt information corresponding to the street scene pictures; performing target detection on the streetscape picture based on the prompt information to obtain a target detection frame; inputting the target detection box into a segmentation cutting model to obtain a two-dimensional mask; projecting the two-dimensional mask to a three-dimensional space based on a geometrical relationship between the two-dimensional mask and the point cloud data to obtain a three-dimensional mask candidate; grouping the three-dimensional mask candidates based on a communication coverage judgment strategy to obtain a three-dimensional mask candidate group; and calculating scores of points in the three-dimensional mask candidate group, determining a segmentation threshold through an Otsu threshold segmentation algorithm, taking the points of which the scores are higher than the segmentation threshold as foreground points, and taking a set of the foreground points as a target three-dimensional mask. The method has high adaptability, and traffic infrastructures in different urban environments can be accurately identified.

This application provides a method and system for assessing earthquake-induced landslide risk in transportation networks in high-intensity seismic zones, relating to the field of landslide risk assessment technology. The method includes: screening key influencing factors of earthquake-induced landslides; optimizing the construction of positive and negative sample libraries; using a spatial weighted machine learning model to evaluate landslide susceptibility and generate a susceptibility zoning map; extracting parameters of potential landslide source areas based on the high-susceptibility zone identification results; using a parallel particle discrete element method to simulate the entire landslide movement process to obtain hazard parameters; inputting the hazard parameters into a transportation engineering structure vulnerability model to quantitatively calculate the failure probability; and fusing the susceptibility probability and structural vulnerability results to generate a risk zoning map based on road network units. The final results of this application are directly applicable to the operation and maintenance management of transportation infrastructure. The provided risk zoning map can be directly used to guide the optimal allocation of risk control resources, the formulation of emergency plans, and the seismic resilience design of engineering projects, demonstrating clear application value.

A fast, flexible, and affordable structural building solution is disclosed. Current construction methodologies are prohibitively costly, slow, and wasteful. This construction method provides responsive and adaptive short to long term structural solutions. A reconfigurable flat packed modular structure can be shipped, assembled, and move-in ready in a fraction of the time of standard structural solutions. This system is easy to assemble and reusable with decreased maintenance costs and utilizes standardized shipping infrastructure. The structural elements are designed to build flexible residential, commercial, and industrial spaces. Component standardization reduces construction and maintenance cost over traditional building methods. The ease of construction reduces the learning curve for the assembly process. Embedded utilities in the components further minimize construction time. The modular nature of the design system allows for rapid assembly, disassembly, and redeployment as needed. Components are specifically built to ship using standard shipping containers for optimal organization of components and transportation.

The present invention is applicable to the field of maintenance planning for transportation infrastructure clusters, and provides a method, device, equipment and storage medium for maintenance planning of transportation infrastructure clusters. The method includes: dividing the transportation infrastructure cluster to obtain a bottom-layer planning layer and at least one upper-layer planning layer, and according to the solution rule of bottom-up serial solution between layers and parallel solution within the same layer, using a multi-objective optimization algorithm to solve the multi-objective maintenance planning models of the basic units in all bottom-layer planning layers and the composite units in all upper-layer planning layers, so as to obtain the objective non-dominated solution set of the maintenance planning; wherein, the optimization variable of the multi-objective maintenance planning model of the composite unit is the index of the non-dominated solution set of the constituent units. This solution improves the optimization calculation efficiency of the maintenance planning, reduces resource consumption, and systematically realizes the association of maintenance planning results with different granularities in the transportation infrastructure cluster, improving the applicability of maintenance planning problems with various granularities.

The present application provides an asphalt pavement apparent disease evolution deduction method, system, device and medium, which belongs to the field of road engineering, transportation infrastructure operation and maintenance and intelligent detection technology, and comprises the following steps: constructing a unified space-time reference system, aligning and normalizing multi-source data in space-time; forming section-level disease quantification characteristics based on the recognition results of the inspection images and the structural indexes; event coding the maintenance measures of the road surface and pre-processing the section-level disease quantification characteristics corresponding to the time of the maintenance measures; constructing the correlation, time lag effect and spatial consistency between the disease types, disease characteristics and structural indexes to generate the collaborative evolution characteristics of the coupling relationship between diseases; constructing a deep time series prediction model to obtain the disease development trend at a specified time scale in the future, and forming the section-level disease evolution prediction result. The present application can depict the disease development law at different road sections and different time scales, and predict the future disease expansion.

The present application relates to a bridge degradation identification and maintenance decision support method and system based on a knowledge graph, belonging to the technical field of intelligent operation and maintenance of transportation infrastructure and engineering information processing, and solving the defects of weak data fusion capability, opaque causal modeling and non-traceable decision support of the prior art. The method comprises: acquiring and preprocessing multi-source heterogeneous data to generate a standardized data set; performing semantic alignment to extract candidate entities and relationships; constructing a knowledge graph ontology and loading it as a knowledge graph; using an adaptive quantile threshold to binarize the factor intensity and disease severity sequence, and fusing a one-point smoothing mutual information and a Spearman correlation coefficient to learn the causal weight; completing the bridge factor influence relationship and calculating the weight through graph reasoning; and finally calculating the bridge degradation risk score and outputting the high-confidence influence path based on the shortest path algorithm. The present application realizes multi-source data fusion and explicit modeling of the degradation causal chain, and provides a scientific basis for bridge maintenance decision-making.