58 results about "Urban transit" patented technology

The invention provides an intelligent urban municipal planning method and system based on geographic information, and relates to the technical field of data processing, and the method comprises the steps: obtaining urban spatial data of different data sources, including terrain, land utilization, building distribution, traffic network, population distribution and environment index data; and analyzing the urban spatial data, including spatial overlay analysis, buffer analysis and network analysis, and identifying key problems and potential risks in urban municipal planning to obtain a data analysis result. The urban space data can be comprehensively and accurately analyzed, the optimized municipal planning scheme is automatically generated and updated and adjusted in real time, and the urban traffic fluency, the environment quality and the public facility utilization efficiency are improved.

The invention relates to a space-ground integrated Beidou high-precision positioning method applied to urban canyons, and belongs to the technical field of navigation positioning. The method comprises the following steps: deploying a pseudo satellite base station, calibrating coordinates of the base station through carrier phase difference, and monitoring the number of Beidou visible satellites; a master pseudo-satellite is determined, timestamps and ephemeris data are broadcasted to slave pseudo-satellites through Beidou short messages, and the slave pseudo-satellites are combined with bidirectional ranging data to correct a local clock to realize high-precision synchronization; receiving Beidou and pseudo-satellite signals by a user terminal, screening effective observation values through a shielding judgment mechanism, substituting the effective observation values into a non-difference observation equation in combination with pseudo-satellite reference difference data, and resolving a fusion result through an elastic coupling mode; and finally, multi-path interference is identified by using pseudo-satellite double antennas, and historical data is called to construct an error model to correct a fusion result. The space-ground integrated positioning of Beidou and pseudo satellites in an urban canyon scene is realized, the centimeter-level positioning precision is stably output, and the high-precision positioning requirements of urban traffic, surveying and mapping and the like are met.

The invention relates to the technical field of artificial intelligence, and discloses an event prediction method and system based on multi-modal fusion, and the method comprises the steps: constructing a knowledge graph encoder, and converting domain expert knowledge into learnable vector representation; constructing a multi-granularity feature extraction network, and extracting features from different microcosmic, mesoscopic and macroscopic scales; realizing a knowledge-guided attention mechanism, and dynamically adjusting feature scale importance; constructing a prototype learning module, and establishing prototype representation of the abnormal category; a knowledge migration mechanism is constructed, and the generalization ability of the model to novel anomalies is enhanced; and multi-granularity abnormal event detection and early warning are realized, and a detection result and interpretable analysis are output. According to the method, through combination of knowledge guidance and multi-scale feature learning, efficient identification and early warning of social abnormal events under the condition of data scarcity are realized, and the method is suitable for the fields of public place safety monitoring, urban traffic safety management, large-scale activity safety guarantee and the like.

The invention relates to the technical field of artificial intelligence and automatic driving, and discloses an automatic driving digital twin agent system based on reinforcement learning training, which comprises an agent library construction module, a simulation and configuration module, a distributed simulation execution module, a scheduling and learning module, a strategy training module and a simulation migration module. The method comprises the following steps: constructing a modular digital twin agent library, combining to generate an urban traffic simulation scene, executing large-scale parallel simulation on a distributed computing cluster, implementing dynamic task scheduling and course learning according to an agent learning progress, and training a reinforcement learning strategy and a value network based on simulation data. And verifying the strategy model and implementing migration deployment from simulation to reality. According to the method, the training efficiency can be improved, the diversity of simulation environments is enriched, and the sim-to-real migration difficulty is reduced, so that the robustness of the strategy model is improved.

The invention discloses a block chain and MPC-based federated learning city information model and a construction method thereof, which are used for serving the field of smart city management and information security. Through a multi-party security computing technology, security sharing of data and model optimization are realized under the condition that local data of each city management department is not leaked. The MPC protocol allows all parties to carry out cooperative calculation in a data encryption state, and safe aggregation and updating of global model parameters are ensured. Meanwhile, in combination with the decentralization and traceability characteristics of the block chain technology, a non-tampering verification mechanism is provided for the data sharing process, and data tampering and forgery are prevented. The federated learning city information model provided by the invention is suitable for smart city scenes such as city traffic, energy optimization, environment monitoring and the like, effectively solves the problems of data privacy leakage, calculation pressure, model safety and the like under a centralized system, and enhances the safety and performance of a city information model system.

The utility model discloses a multifunctional intelligent street lamp. Comprising a lamp pole and a lighting unit arranged on the lamp pole, the lighting unit comprises a lamp holder and a plurality of lamp sets detachably connected with the lamp holder, and the lamp holder is installed on the lamp pole; the lamp post is provided with a cavity, an electric box is arranged in the cavity, the electric box is detachably connected with the lamp post, a monitoring module and a wireless communication module are arranged in the electric box, the monitoring module and the wireless communication module are respectively provided with a mounting part connected with the electric box, and the structures of the mounting parts of the monitoring module and the wireless communication module are the same. According to the intelligent street lamp, modular design is adopted, assembling is easy, only corresponding parts need to be replaced when faults occur, the maintenance process of the intelligent street lamp is simplified, maintenance work can be conducted rapidly, influences of road closing and work on urban traffic are reduced, material and labor cost is reduced, and meanwhile, due to the fact that assembling is easy, the maintenance efficiency is improved. And the dependence on professional technicians is also reduced.

The invention relates to a trusted security traffic monitoring system based on an anti-quantum key management framework, and relates to the technical field of smart city traffic, and the system comprises an initialization module which is used for carrying out the initialization processing of a cloud platform, an edge gateway and a camera node; the data acquisition and transmission module is used for acquiring and encrypting monitoring data based on the initialized camera node, and transmitting the encrypted monitoring data to the cloud platform through the edge gateway in a preset data transmission mode; wherein the preset data transmission mode comprises a cross-gateway area transmission mode and a same-gateway area transmission mode; and the data detection module is used for deleting or replacing the scene of the corresponding node when the edge gateway or the camera node shows a malicious behavior or the equipment is aged. According to the method, a key system is constructed through an encryption and decryption algorithm, so that the key management framework oriented to edge computing has quantum aggression resistance, and the security of a city monitoring system in a traditional scheme is improved.

The utility model discloses a manhole cover and a manhole cover monitoring system, and relates to the technical field of intelligent manhole covers, the manhole cover comprises a base, a cover body, a control lock, a processor, a sensor unit and an Internet of Things module, the base is provided with a containing cavity with at least one side open; the cover body is rotationally connected to the base and covers the opening of the accommodating cavity; the control lock is arranged on the side, facing the base, of the cover body and used for locking and connecting the cover body to the base. The processor is arranged on the side, facing the base, of the cover body, is electrically connected with the control lock and is used for controlling the control lock to be unlocked or locked; the sensor unit is arranged on the side, facing the base, of the cover body and used for detecting condition information of the well lid. The Internet of Things module is arranged on the side, facing the base, of the cover body and electrically connected with the processor and the sensor unit. According to the technical scheme provided by the utility model, remote monitoring management and remote control of the well lid can be realized, and the well lid management system is relatively simple in structural arrangement, relatively reasonable in design and suitable for well lid management of urban traffic.

The application relates to a space-ground integrated Beidou high-precision positioning method applied to an urban canyon, and belongs to the technical field of navigation and positioning. The method comprises the following steps: deploying a pseudolite base station, calibrating the base station coordinates through carrier phase difference, and monitoring the number of visible Beidou satellites; determining a master pseudolite, broadcasting timestamp and ephemeris data to a slave pseudolite through a Beidou short message, and combining two-way ranging data to correct a local clock to realize high-precision synchronization; then a user terminal receives Beidou and pseudolite signals, screens effective observation values through a shielding discrimination mechanism, combines pseudolite reference differential data into a non-difference observation equation, and solves a fusion result through a loose-tight coupling mode; finally, the pseudolite double-antenna is used to identify multipath interference, historical data is called to construct an error model, and the fusion result is corrected. The space-ground integrated fusion positioning of Beidou and pseudolites in the urban canyon scene is realized, stable centimeter-level positioning precision is output, and the high-precision positioning demand of urban traffic and surveying and mapping is met.

The invention discloses an urban rail transit subway congestion people flow guiding device, and relates to the technical field of urban traffic guidance, and the urban rail transit subway congestion people flow guiding device comprises a grid bottom plate, the inner side of the grid bottom plate is provided with a sign and a lamp strip, the sign and the lamp strip are randomly arranged through bayonet locks, and a control switch is arranged to correspondingly control corresponding routes. The signpost structure which can only record limited and single information in the prior art is changed, the direction equipment which directs the way through the lamp strip, can be flexibly installed in any scene and can be used for identification through the characteristics of photos, colors, numbers and the like is designed, the use of different cultural crowds is facilitated, in addition, the equipment can record more path information, and the practicability is high. The system is flexible to set and use without customization, can be recycled and adjusted, is more flexible and advanced in guiding mode, and is more convenient for multiple persons to use in public places.

This invention discloses a method for assessing the resilience of subway travel behavior during rainstorms, taking into account the impact of the built environment. It belongs to the field of urban transportation resilience assessment. The specific steps include: S1, collecting subway travel data, meteorological data, and built environment data around subway stations under rainstorm and ideal weather conditions; S2, quantifying the resilience value of subway travel behavior using the resilience triangle method; S3, constructing a spatially weighted geographic random forest model, using built environment data as features and resilience value as the objective, establishing a nonlinear mapping relationship between the two, and outputting the spatial distribution characteristics of resilience; S4, using the model to analyze the marginal contribution of each built environment factor to the resilience value, outputting the feature importance ranking, and identifying key built environment factors. This invention can quantify the disturbance and recovery capacity of subway travel behavior during rainstorms, reveal the mechanism by which the built environment affects travel behavior resilience, and provide a scientific basis for urban transportation resilience planning and rainstorm emergency management.

The invention relates to an urban underground comprehensive pipe gallery structure and a construction technology thereof, and relates to the technical field of urban underground comprehensive pipe galleries, the urban underground comprehensive pipe gallery structure comprises a foundation, a foundation pit is excavated in the surface of the foundation, a pipe gallery main body structure is arranged in the foundation pit, and the pipe gallery main body structure is used for laying and protecting urban pipelines. An auxiliary assembly is arranged in the foundation pit and used for monitoring the pipe gallery and adjusting the temperature, humidity and gas concentration, the pipe gallery body structure comprises a fence, a steel support, a bottom plate, side walls and a top plate, the fence is arranged on the periphery of the foundation pit and located above the foundation, the steel support is installed in the foundation pit, the bottom plate is arranged in the foundation pit, and the side walls are arranged on the top plate. And the side wall is poured on the side wall of the bottom plate through concrete. The construction method has the advantages that the construction efficiency is high, the structural integrity is high, interference to urban traffic and the environment is reduced, the anti-seismic performance, the anti-sedimentation performance and the like are remarkably improved, and the effect of conveniently and efficiently monitoring and ventilating the interior of the pipe gallery can be achieved.

The invention discloses a trajectory prediction method for urban vehicle tracking. The method comprises the following steps: firstly, constructing a double-layer graph attention network, and constructing a weighted directed global traffic flow graph for modeling a global flow mode of urban traffic by using urban traffic data; meanwhile, each target historical track is abstracted into a local individual track diagram, and the microscopic motion preference of the target is described. And then predicting a next-step track point of the vehicle by using a Transform model, introducing a road network topology perception loss function in a training process of the Transform model, and constraining a target prediction point and an actual road network to promote a track output by the model to better conform to road connectivity. And finally, carrying out posteriori correction on Transform output by adopting extended Kalman filtering so as to enhance the robustness of the abrupt change trajectory.

The invention discloses a public transit network optimization method and system. The method comprises the steps of 1, acquiring urban traffic network data, bus station data, station data, passenger flow OD and lines needing to be adjusted; step 2, mapping bus stops to an urban traffic road network; 3, updating the urban traffic network data; 4, adjacent bus stations are connected to form a bus traffic network; step 5, finding out a target OD which needs to be covered by the planned route; step 6, generating a candidate line pool; and 7, calculating a coverage relationship between the lines in the candidate line pool and the target OD, and then finding out a line set which can cover all the target OD and has the shortest mileage to realize public transit network optimization. According to the method, the problem of network optimization adjustment of a common asymmetric traffic network can be solved, and the applicability of the network optimization method is greatly improved. Particularly, under the condition that the current bus operation cost is high, the service level is not reduced while the operation cost is reduced.

The present invention relates to the fields of urban traffic noise control and photovoltaic intelligent control technology, and discloses a louver-type intelligent photovoltaic noise reduction device for a fully enclosed sound barrier, comprising: a transverse short metal frame and a longitudinal tall metal frame; and a noise reduction mechanism disposed on a side opposite the longitudinal tall metal frame. The present invention rotates a metal base plate, thereby squeezing gas within a rotating shaft into an airbag. The airbag's expansion fills the interior of the silencer's internal cavity with sound-absorbing material, thereby achieving an intelligently controlled, fully enclosed sound barrier multifunctional fire smoke exhaust vent noise reduction device. This device avoids noise transmission gaps and window periods in a semi-open state, achieving a good noise reduction effect while also reducing the amount of sound-absorbing material used, ensuring both noise reduction and cost savings.

This invention discloses a novel power hybrid simulation system and method that considers urban transportation integration, addressing the problem that simulation applications involving electric vehicles (EVs) in grid coordination cannot reflect the impact on the transportation system. The transient simulation collaborative management unit sends dispatch instructions from the dispatch master station unit to the EV-charging pile control unit and the EV-transportation collaborative simulation unit. The EV-charging pile control unit generates dispatch control instructions based on the dispatch instructions and sends them to the multi-dimensional hybrid simulation unit. The EV-transportation collaborative simulation unit performs long-term, grid-related collaborative simulations based on the dispatch instructions, generating time-series simulation data, which is then sent to the multi-dimensional hybrid simulation unit via the transient simulation collaborative management unit. The multi-dimensional hybrid simulation unit performs grid transient simulations based on the dispatch control instructions and time-series simulation data, generating grid transient simulation data, which is then sent to the EV-transportation collaborative simulation unit via the transient simulation collaborative management unit.

The application discloses a kind of city traffic wisdom street lamp based on Internet of Things, it is related to outdoor street lamp technical field, including fixed frame, the fixed frame bottom end is equipped with fixed rod, the fixed frame top is equipped with frame cover, climate monitoring mechanism, the climate monitoring mechanism includes movable plate, collection notch and movable pass, the movable pass is set in the middle part of frame cover, movable plate is movably installed in the inside of movable pass, the movable plate middle part is equipped with collection notch.The application is used in cooperation with climate monitoring mechanism and illumination monitoring mechanism, in the use process of outdoor street lamp, by monitoring different climate, the result generated by monitoring is used to adjust the working position of photosensitive sensor, ensure the stability of photosensitive sensor during operation, and the accuracy of sensing monitoring, avoid the change of outdoor climate, the light becomes dark and the position of photosensitive sensor is in the shadow, resulting in the error of the result when photosensitive sensor judges.

The present invention relates to the technical field of urban renewal pipeline engineering construction, specifically a kind of urban renewal cover plate pipeline installation construction process and equipment, screw piles, groove baffles, connecting beams, and groove cover plates form a groove integral support system; the connecting beam is composed of a beam body and a printer longitudinal rod, and the beam bodies of adjacent connecting beams are sequentially connected to form a beam that is longitudinally long along the groove; a 3D printer is installed on the printer longitudinal rod, and is used to print pipelines, inspection wells, and pipeline supports in the pipeline groove; the groove cover plate includes a panel and a support grid, and the groove cover plate is installed on the connecting beam with the support grid facing downward, and the support grid is stuck between the connecting beams on both sides of the groove. This application solves the problem of mutual influence between pipeline engineering construction and urban traffic demand in the prior art.

This invention discloses a method, device, system, and storage medium for extracting urban traffic scenes, belonging to the field of intelligent interpretation technology. The method comprises: obtaining 3D point cloud data and image data of an urban traffic scene; extracting static elements of the urban traffic scene using a trained KPConv network based on the 3D point cloud data, obtaining the static elements of the urban traffic scene, and parameterizing the static elements of the urban traffic scene; extracting dynamic objects in the urban traffic scene using a trained YOLOv7-W6 network based on the image data, obtaining the dynamic objects in the urban traffic scene, and mapping the dynamic objects in the urban traffic scene to the coordinate system of the 3D point cloud data, thereby completing the urban traffic scene extraction. This method can effectively extract static elements and dynamic objects in urban traffic scenes.

The present invention discloses a public data processing method and system, and relates to the field of public data technology. The present invention includes S1. acquiring urban public data, S2. determining a city culture promotion method, and S3. processing city culture promotion. The present invention constructs a relationship expression between tourist parameters and building risk indicator parameters of each cultural building and a relationship expression between tourist parameters and the convenience of residents' lives, predicts the building risk indicator parameters of each cultural building in the city in the current period and the convenience of residents' lives in the city, judges the recommended tour mode of the city, and improves the accuracy of the recommended tour mode of the city. The present invention not only timely adjusts the display method of the on-site tour tourism plan to ensure the dissemination balance of the on-site tour tourism plan and avoids increasing the subsequent urban traffic burden, but also adjusts the layout of the real-scene acquisition equipment of the cultural buildings, thereby improving the experience of tourists' cloud tours and ensuring the effect of urban cultural dissemination.

This invention discloses a small target detection method and system based on improved YOLOv11 and fused attention, applicable to small target detection in unmanned aerial vehicles (UAVs). The method includes the following steps: constructing a backbone network using a custom module SFBCR; constructing a neck network using a custom module MFBCR to obtain a custom model; and designing a fused attention mechanism based on the SimAM attention module and PartialConv partial convolutional modules. The model parameters are determined by training on the public UAV small target dataset VisDrone. Compared with existing neural networks, the proposed detection method achieves an average accuracy improvement of 2.03% in UAV small target detection applications while maintaining detection speed. It can be used in smart city construction to improve urban traffic management.

The invention relates to the related technical field of application performance monitoring, in particular to a low-Token consumption time sequence analysis method based on time sequence data visualization and a multi-modal large model, which comprises the following steps: step S1, cleaning, normalizing and feature extraction are performed on original time sequence data, and features comprise trend features, periodic features and abnormal features; s2, a customized time sequence trend chart is generated according to the features extracted in the step S1, the trend chart comprises a customized coordinate axis, a multivariable visual distinguishing identifier, a feature highlight identifier and a long time sequence segmentation identifier, and the method relates to a long time sequence data efficient analysis technology under the scenes of industrial equipment operation and maintenance, financial risk control, urban traffic scheduling and the like. By customizing the time sequence visual coding compression data Token amount and combining with the time sequence enhancement fine tuning optimization multi-modal model, low-cost and high-precision analysis of long time sequence data is realized, and technical support is provided for time sequence abnormity early warning, trend prediction and correlation diagnosis.

The invention discloses a coordination control phase difference transition decision-making and distribution method, which comprises the following steps of: correlation adjustment amount calculation: taking any specified time point as a unified clock reference point, and calculating an extended transition adjustment amount required by a period switching moment and a shortened transition adjustment amount corresponding to the extended transition adjustment amount; according to the transition decision model establishment, through association adjustment amount and period phase boundary constraint, through accurate phase difference transition control, differentiated green time ratio distribution, real-time dynamic feedback and multi-field applicability, the defects in dynamic adaptability, multi-objective optimization and engineering economy in the prior art are systematically overcome, and the method has the advantages of high efficiency, high reliability and the like. And a core technical support is provided for intelligent upgrading of urban traffic.

The invention provides an optimization method based on an Infomap algorithm and a genetic algorithm, aiming at solving the problem of inaccurate functional area division caused by neglect of node attributes in the existing urban activity area identification method. The method comprises the following steps: (1) carrying out gridding processing on mobile phone signaling data, and constructing a space interaction network fusing node attributes; (2) realizing high-modularity community detection considering node attributes based on an enhanced Infomap algorithm; and (3) modeling and quantitatively analyzing the boundary effect of the active area, and proposing optimization suggestions. The space interaction network is constructed based on the mobile phone signaling data, and an enhanced Infomap algorithm considering node attributes is provided to complete community detection, so that quantitative analysis of the importance of each activity area and the boundary effect of the activity area is implemented, and reference is provided for constructing a more efficient and sustainable urban traffic network.

The invention relates to the technical field of smart city evaluation, in particular to a smart city evaluation method and system based on artificial intelligence. The method comprises the following steps: acquiring a smart city evaluation index, acquiring a city ground environment image through a satellite image acquisition system, analyzing the city ground environment image, an appearance evaluation index and an appearance index weight coefficient, and generating an appearance characterization value of the smart city; to-be-evaluated city data of the smart city are obtained, the to-be-evaluated city data comprise city network data, city logistics data, city community data and city traffic data, the to-be-evaluated city data, the non-appearance evaluation indexes and the non-appearance index weight coefficients, and non-appearance characterization values of the smart city are generated; and determining the smart city grade corresponding to the to-be-evaluated smart city according to the appearance characterization value and the non-appearance characterization value. The smart city evaluation method and device can improve the accuracy of smart city evaluation.

The application provides an intersection signal optimization timing method based on queue length and delay, comprising the following steps: S1, road end equipment collects traffic situation data; S2, historical data aggregation and algorithm data preparation; S3, timing optimization model based on queue length and signal control delay; relying on the traffic data collected by the urban traffic flow monitoring equipment and the phase control data of the signal machine, the fine timing result of the urban intersection signal control scheme is calculated more quickly and conveniently, a set of reasonable timing optimization model for the continuous and real traffic passing demand of the intersection is provided, the more accurate data in different time periods is accurately controlled and optimized, the same set of timing scheme method is used, and the space-time data resources of the intersection equipment and the signal machine are fully utilized.

The invention discloses an urban traffic intelligent street lamp based on the Internet of Things, and relates to the technical field of outdoor street lamps, the urban traffic intelligent street lamp comprises a fixing frame, a fixing rod is installed at the bottom end of the fixing frame, a frame cover and a climate monitoring mechanism are installed at the top end of the fixing frame, and the climate monitoring mechanism comprises a movable plate, a collection notch and a movable through opening. A movable through opening is formed in the middle of the frame cover, a movable plate is movably installed in the movable through opening, and a collecting notch is formed in the middle of the movable plate. Through cooperative use of the climate monitoring mechanism and the illumination monitoring mechanism, in the use process of the outdoor street lamp, the working position of the photosensitive sensor is adjusted by monitoring different climates and through results generated during monitoring, the working stability of the photosensitive sensor and the accuracy during sensing monitoring are guaranteed, and the working efficiency of the outdoor street lamp is improved. And the condition that the judgment result of the photosensitive sensor has an error due to the fact that outdoor climate changes, light darkens and the position of the photosensitive sensor is located at a shadow position is avoided.