136 results about "Traffic station" patented technology

The invention relates to the technical field of data communication, and discloses a rail transit station-level agent implementation method and system. The method comprises the following steps: constructing a professional body base through an ARM processor, designing a LiteIP security communication bus based on an FPGA, constructing a multi-core CPU cluster to construct an intelligent body center, establishing a real-time and entity database to form a data basis, fusing federated learning and a neural network to generate a decision, and executing edge calculation to realize station-level autonomous control. According to the invention, millisecond-level data exchange and intelligent cooperative control in the station-level system are realized, and the response speed and the processing efficiency of the system in an emergency are remarkably improved.

The invention discloses an urban rail transit station site selection multi-objective optimization method and a related device, and belongs to the crossing field of urban planning and traffic engineering, and the method comprises the following steps: according to preprocessed urban road network data, screening crossing points of urban three-level roads and roads above the three-level roads as candidate stations; the coordinates of the candidate sites are coded; based on the preprocessed crowd travel origin and destination data, POI data, building data and land utilization data, quantifying the service people flow, facility accessibility and land development intensity of each candidate site, and forming a feature matrix of each candidate site; and constructing a multi-target traffic station site selection model, screening candidate stations meeting distance constraints through a greedy search algorithm according to the feature matrix, inputting the candidate stations to NSGA-II, and solving a multi-target optimization function of the multi-target traffic station site selection model to obtain an optimal planning result. The method can solve the problems that in the prior art, the target is single during site selection, and the inter-site distance constraint is not considered.

The invention discloses a rail transit platform intrusion detection and intelligent reminding method and system, and the method comprises the following steps: carrying out the overhead scanning of a safety yellow line based on a single-line laser radar; processing the obtained laser radar data to obtain a center coordinate of the intrusion target; performing coordinate conversion to obtain Cartesian coordinates of the intrusion target; unifying a coordinate system, and carrying out the linkage of a holder camera and a follow spotlight, and obtaining an intrusion target video stream; an intrusion target and behaviors thereof are described, and acousto-optic reminding and warning are carried out; the system comprises a safety yellow line intrusion detection device located in a platform rail running area, and the safety yellow line intrusion detection device comprises a single line laser radar, a holder camera, a voice module, a follow spotlight, an edge calculation box and a router. According to the invention, real-time detection of line crossing personnel and articles of the safe yellow line of the platform rail-mounted area is realized. According to the invention, the problem of low reflectivity of a laser radar to a black or transparent object is particularly solved.

The invention provides an intelligent simulation method for the flow of an air conditioning water system of a rail transit station. The intelligent simulation method comprises the following steps that A1, a 3D model, recognized by EnergyPlus, of the rail transit station is built through SketchUp software; a2, an air conditioning system is built through EnergyPlus software; a3, modifying key parameters influencing the thermal load of the air conditioning system to generate data; a4, constructing an indoor air conditioning system load LSTM (Long Short Term Memory) prediction model of the traffic station; and A5, simulating a predicted load value of the indoor air-conditioning system through the data set and the LSTM prediction model, converting the predicted load value into the total control flow of the air-conditioning water system of the rail transit station, and adjusting the air-conditioning water system of the rail transit station. Multiple times of simulation are carried out through EnergyPlus simulation software, a large amount of data generated during operation are summarized to form a data set and preprocessed, a real-time indoor air conditioning system load value is simulated based on the preprocessed data set and an LSTM prediction model and converted into the total air conditioning water system control flow, and intelligent simulation of the air conditioning water system is achieved.

The invention provides a rail transit platform people flow monitoring method, a medium and a system, and belongs to the technical field of rail transit safety. A multi-scale space monitoring network is constructed by adopting a multi-resolution camera array, human body posture feature points are extracted through an improved OpenPose algorithm, and the human body posture feature points are extracted through the improved OpenPose algorithm; and establishing a human body three-dimensional space occupation model based on the maximum cylindrical virtual shell and the minimum cylindrical virtual shell. The system calculates a human body motion variation matrix to realize individual trajectory analysis, generates a people flow density distribution map to evaluate the degree of congestion, and analyzes an overlapping matrix to quantify the congestion risk. A weighted directed flow network is constructed, a maximum flow and minimum cut algorithm is applied to identify a congestion bottleneck point, and a deep learning model is combined to predict a people flow change trend so as to realize early warning. When the danger coefficient of the platform exceeds a preset threshold value, the system triggers a grading response mechanism to start an emergency disposal process, and the problem that the passenger flow monitoring precision of the rail transit platform is insufficient is solved.

The invention provides a rail transit platform passenger flow prediction method and system, computer equipment and a storage medium. The method comprises the following steps: extracting directed OD pairs from entry and exit records of an automatic fare collection system based on a completely directed network; determining travel time of non-transfer and one-time transfer; determining the real-time position of the passenger according to the directed OD pair and the travel time; according to the real-time position of the passenger, determining the passenger flow volume of each station in the target time period; acquiring and processing weather factors; a CNN-BiLSTM-Attention passenger flow prediction model is constructed; and taking the passenger flow volume of each station in the target time period and the weather factors as input variables, and predicting the passenger flow volume of each station by using the CNN-BiLSTM-Attention passenger flow prediction model. According to the method, the influence of weather factors, time dependence and spatial features is considered, the attention on key features is enhanced, and the prediction precision of the platform passenger flow is improved.

The present invention relates to the field of artificial intelligence classification technology, and specifically to a dynamic classification and prediction method for rail transit stations based on PDE and machine learning, comprising the following steps: S1: preprocessing the obtained NPRT index; S101: selecting node index and location index, and evaluating the comprehensive traffic value and location value of the station; S102: using information entropy weighting, and integrating the node index and location index into node value N and location value P respectively; S103: dividing the station by different clustering methods, and selecting the clustering model with the best performance as the final station division method; S104: predicting the passenger flow of each station by fitting method; S105: clustering analysis of the passenger flow of the station, and constructing a labeled data set; S2: introducing partial differential equations, establishing a PDE-NPRT model, and training the PDE-NPRT model. The present invention combines partial differential equations (PDE) with machine learning technology to improve the accuracy and reliability of traffic station classification.

The utility model discloses a bottom supporting mechanism for a rail transit platform door, and relates to the field of platform door installation structures. The platform comprises a platform body and a platform door, a mounting groove is formed in the middle of the top of the platform body, a side groove is formed in one side of the mounting groove, and the side groove penetrates to the outer side of the platform body. The platform door can be conveniently and rapidly installed on a platform, the design simplifies the installation steps, improves the installation efficiency, meanwhile guarantees the stability and safety of the platform door, and can achieve firm fixation of the platform door through the arrangement of the relative positions of the side grooves and the insertion grooves and the insertion mode of the insertion plates in the fixing mechanisms and the insertion plates. By means of the design, the stability of the platform door is enhanced, and the platform door is effectively prevented from shaking or shifting in the using process.

A platform screen door for rail transit. By means of providing a monitoring sensor (12) and a fault early-warning device (13) for a screen door, real-time operation data of the screen door is acquired, and the real-time operation data is then input into a pre-constructed prediction model; on the basis of the prediction model, multi-round cyclic segmented prediction is performed on the real-time operation data, so as to output an operation prediction result at each time node within a target time period, wherein one piece of segmented-prediction data for the target time period is output by means of each round of prediction, and the obtained segmented-prediction data and the real-time operation data are used as model input data for the next round of prediction; and the operation prediction result is input into a pre-constructed fault monitoring model, and on the basis of the fault monitoring model, a fault type monitoring result at a corresponding time node is output. By means of the technical means, a potential fault type at a corresponding time node can be detected in a timely manner, such that accurate and efficient fault monitoring is realized, thereby improving the reliability and stability of operation of a screen door.

The invention provides a control method and a control device for a rail transit station-level operation terminal, and the method comprises the steps: responding to a key operation for a target button in a manual operation module, generating an operation instruction corresponding to the target button, and transmitting the operation instruction to a measurement and control device; the operation instruction is sent to the industrial personal computer module through the measurement and control device, and if the operation instruction passes verification, a grounding knife switch in a grounding device corresponding to the manual operation module is controlled to execute the operation instruction. In the mode, through the structural form that the measurement and control device is arranged on the station-level operation terminal, wall-mounted installation, wall-embedded installation and even installation in a screen cabinet can be met, the space of a station-level control room is saved, and the installation flexibility is improved; the measurement and control device can also display the position of the grounding knife switch and the communication state of the industrial personal computer and the grounding device. In addition, remote control operation of the grounding knife switch is realized through the manual operation module and the measurement and control device, hard wiring construction does not need to be carried out on the station-level operation terminal, and troubleshooting is facilitated.

Stations are monitored that join and leave a multicast group associated with one or more switches over a wired channel and one or more access points over a wireless channel. At least one of latency or packet loss over a threshold are detected for a specific VLAN group. Multicast traffic is segregated in response to the detection, at the one or more switches, by reassigning stations that are not associated with multicast traffic to a new VLAN group, and by at the one or more access points, reassigning stations that are associated with multicast traffic with the low bandwidth frequency and reassigning stations that are not associated with multicast traffic with the high bandwidth frequency.

The invention discloses a rail transit station area collaborative management method and system, and the method comprises the steps: dividing stations in a rail transit station area into central stations and satellite stations, and each central station is used for controlling one or more satellite stations to which the central station belongs; and resource allocation and management are carried out on one or more satellite sites to which the center site belongs through the center site, the predicted passenger flow volume of each site is calculated, and the center site carries out passenger flow allocation on each satellite site according to the predicted passenger flow volume.

The invention relates to the technical field of public transport organization, in particular to an urban traffic station connection evaluation method based on multi-source data, which comprises the following steps of: performing passenger flow analysis on an upstream public transport section of a station, dividing passenger flow time periods, and acquiring multi-source connection situation data by adopting a sampling or real-time monitoring mode based on different time periods; calculating a transport capacity supply saturation index based on the station upstream public traffic section passenger flow data, calculating a dynamic transport capacity service efficiency index based on the mobile passenger-carrying end parking characteristic data, weighting to obtain a comprehensive connection bearing coefficient, estimating the real-time passenger flow arrival flow based on the arrival shift data of the traffic station and the number of resold tickets, and determining the real-time passenger flow arrival flow. And evaluating the urban traffic connection capability of each station by generating a real-time connection efficiency value. According to the method, the quantitative evaluation of the operation state of the connection system of the urban traffic station is realized, the defects of a traditional method in the aspect of multi-source data fusion are overcome, and the analysis precision of the connection capability of the urban traffic is improved.

The present invention discloses a method and system for traffic relief during the construction of a rail transit station. The method comprises: obtaining construction information of the rail transit station during the construction; setting a traffic relief speed evaluation model, and calculating a traffic relief speed index based on the construction information, for evaluating the relief speed when an emergency occurs, wherein when the traffic relief speed index is greater than a preset relief threshold, adjusting the construction area until it is less than or equal to the preset relief threshold; obtaining all paths actually selected by pedestrians, and setting a path selection evaluation model to evaluate all paths actually selected by pedestrians, finding a path with the smallest evaluation index of the paths actually selected by pedestrians as the optimal path, and setting road signs so that pedestrians can be relieved along the optimal path.

The invention provides a rail transit station peak passenger flow operation generation method, and relates to the technical field of rail transit. The method comprises the following steps: acquiring historical passenger flow passage data of a target station in preset rail transit, determining predicted passenger flow passage data of the target station in a preset future time period by adopting a pre-trained target passenger flow passage prediction model according to the historical passenger flow passage data, and then determining the target station in the preset future time period according to the predicted passenger flow passage data. And determining a passenger flow peak period in a preset future time period, and finally, according to the predicted passenger flow passing data and the passenger flow peak period, generating an operation plan of the passenger flow peak period in the preset future time period, the operation plan being used for adjusting a gate operation mode of the target gate in the target station in the passenger flow peak period. A worker does not need to manually adjust a gate operation mode according to actual passenger flow passing data, the problems of time delay and misoperation existing in manual operation are avoided, and the operation efficiency of a target station is effectively improved.

The invention provides an urban rail transit outside-station rainfall detection method, device and equipment and a storage medium, and belongs to the technical field of rail transit, and the method comprises the steps: inputting a to-be-recognized image into a target detection model, and obtaining a target detection result outputted by the target detection model, the to-be-recognized image is obtained by intercepting a traffic station entrance and exit monitoring video, and the target detection model is used for detecting pedestrians and rain gears worn by the pedestrians in the input image; and determining the rainfall state outside the traffic station based on the target detection result. The security cameras are uniformly distributed at the entrance and the exit of the urban rail transit station, and the existing security cameras are used for acquiring monitoring videos and detecting the acquired video images, so that on one hand, additional weather sensing equipment does not need to be added, the rainfall monitoring cost is reduced, and on the other hand, the monitoring videos can be identified and detected in real time; the requirement for continuously monitoring the rainfall condition outside the station in real time is met, and station workers can take corresponding preparation measures in time according to the rainfall condition.

The invention provides a rail transit platform waiting personnel protecting and guiding integrated device, and relates to the technical field of rail transit. An infrared sensor is installed on the bottom plate, two sets of supporting plates are fixed to the bottom plate, ejector rods are fixed to the upper ends of the two sets of supporting plates, a display assembly is installed on the supporting plate close to the left side of the bottom plate through bolts, and voice prompt equipment and passenger flow monitoring equipment are installed at the upper ends of the ejector rods through bolts. Heat dissipation holes are formed in the surface of a shell of the voice prompt equipment; passenger safety is guaranteed through structural design, safety monitoring and stable driving in safety protection, personalized display, flexible adjustment and all-dimensional voice assistance are achieved in the aspect of information guidance, an advanced passenger flow monitoring function is achieved in equipment performance, operation is energy-saving and stable, efficient integrated control and good compatibility are achieved in a system integration level, and the system is suitable for popularization and application. And the operation efficiency, the safety and the passenger experience of the rail transit platform are comprehensively improved.

The utility model discloses a rail transit platform door isolation device, including and the mechanical isolation lock of lintel connection, and the isolation support of door leaf connection, mechanical isolation lock includes lock core, lock tongue, lock core front end connection lock tongue, and the keyhole that is equipped with for professional key access is equipped in the back, and lock core and lintel rotation is connected, forms mechanical isolation, and lock core drives lock tongue to rotate, and the clearance between door leaf is reduced, and the isolation support is prevented to cross lock tongue. Through setting lock core structure, prevent misoperation, and lock core drive lock tongue movement, prevent sliding door to slide, and sliding door can not open, on the basis of electric isolation, increase a safeguard, guarantee security.

The embodiment of the invention provides a passenger path planning method, system and device in a rail transit station and a storage medium, and relates to the technical field of rail transit. The method comprises the following steps: performing real-time communication between sensing terminal equipment and guiding terminal equipment, and acquiring a current coordinate point and a target coordinate point of the guiding terminal equipment in a rail transit station; the sensing terminal equipment sends a first path from the current coordinate point to the target coordinate point to the guiding terminal equipment, wherein the first path comprises at least one group of first sensing points serving as a starting point and second sensing points serving as an ending point; and when the current coordinate point coincides with the first sensing point, the sensing terminal device sends a second path from the first sensing point to the second sensing point to the guiding terminal device. The passenger transfer efficiency is improved, the in-station passenger flow is optimized, and the passenger peak travel efficiency and the passenger travel experience are improved.

The disclosed computer-implemented method may include (i) receiving, from a transportation requestor device, a request for transportation that comprises a transportation stop at a location next to a street, (ii) matching, by a dynamic transportation matching system, the transportation requestor device with a transportation provider, and (iii) improving, by the dynamic transportation matching system, a value of fulfilling the request by (a) determining that a near side of the street is closer to the location of the transportation stop than a far side of the street, (b) mapping, based on the determination that the near side of the street is closer to the location of the transportation stop, a driving route that traverses the street, and (c) directing the transportation provider to fulfill the request for transportation by traversing the driving route. Various other methods, systems, and computer-readable media are also disclosed.

This invention discloses a method for predicting urban rail transit passenger flow based on multimodal information fusion. First, feature vectors of urban points of interest are obtained. Then, a directed graph of rail transit stations and the positional relationship between rail transit stations and points of interest are constructed to extract feature vectors of rail transit stations. Social media text from various time periods is crawled to extract public travel interest feature vectors. Then, a multi-head cross-attention model is used to fuse the public travel interest feature vectors, rail transit station feature vectors, and historical passenger flow feature vectors. Finally, an LTSM network is used to predict the passenger flow feature vector for the next time period. This invention integrates urban point of interest features and social media text features to predict urban rail transit passenger flow, improving prediction accuracy.

The invention relates to the technical field of urban water resource recycling, and particularly discloses a rail transit station rainwater collecting and recycling system which comprises a collecting tank, a first reservoir, a second reservoir and a water pump, the collecting tank is used for collecting rainwater in a ground drainage ditch, and an intercepting assembly is arranged in the collecting tank; the collecting tank is communicated with a first reservoir, the bottom of the first reservoir is communicated with a drainage pipe, a first filter is arranged between the first reservoir and the collecting tank, and a stirring mechanism is arranged in the first reservoir; the first reservoir is communicated with a water outlet pipe I, the second reservoir is communicated with the tail end of the water outlet pipe I, and a second filter is mounted on the water outlet pipe I; the second reservoir is communicated with a water outlet pipe II; water pumps are mounted on the drainage pipe, the water outlet pipe I and the water outlet pipe II. According to the diversion network based on the site building, the rainwater collection rate is greatly improved; according to different water demands, rainwater is filtered, water quality is subjected to stage treatment, the water quality of water is guaranteed, and the cost is reduced.

The present application discloses a method and device for determining a traffic connection ratio and a data processing device. The method includes: for any preset traffic mode in a first preset traffic mode set, obtaining an estimated traffic connection ratio for connecting between the traffic station and the preset traffic mode within a preset time period; based on the payment information generated by using the traffic mode, determining a calculated traffic connection ratio for connecting between the traffic station and the payment-bound traffic mode within the preset time period; and based on each estimated traffic connection ratio obtained and the determined calculated traffic connection ratio, determining a traffic connection ratio for connecting between the traffic station and each preset traffic mode in the first preset traffic mode set. Thereby, the accuracy and scientificity of determining the traffic connection ratio of the traffic station is improved.

The invention belongs to the technical field of urban planning, and particularly relates to a traffic station region land utilization efficiency evaluation method, which comprises the following steps of: acquiring and preprocessing point-of-interest data and a traffic station region in an analysis region; extracting land utilization layout features based on the null data set; constructing a multi-mode traffic network including walking, bicycles, buses and rail transit based on the layout features; establishing a land coupling simulation model of traffic based on the regional reachability index; causal inference and model calibration are carried out based on historical traffic intervention events of dynamic evolution; adopting a multi-objective optimization algorithm to generate traffic and land utilization configuration schemes meeting different planning objectives; according to the method, the evaluation result is subjected to visual display and decision output, unified modeling of traffic and social economic data is achieved through multi-source heterogeneous data fusion and standardization processing, and the effect of improving data space-time matching precision and calculation reliability is achieved.

The application provides a shared bicycle demand prediction method, system, device and medium, and belongs to the field of computer application, and comprises the following steps: acquiring order data of shared bicycles at a traffic station in a target area; using sparrow search algorithm to optimize hyperparameters of a model based on long short-term memory neural network and random forest; combining long short-term memory neural network and random forest model by using least square weight combination to obtain a demand prediction model; inputting order data of shared bicycles in a region to be predicted into the demand prediction model to obtain demand prediction data of shared bicycles in a set time period. The model performs well on a data set with large demand and obvious change over time, is suitable for shared bicycle demand prediction at a subway station, and provides theoretical support for planning shared bicycle distribution and scheduling, and is complementary to subway service.

The utility model discloses a platform door rail side anti-pinch lock, which relates to the technical field of rail traffic platform doors, and comprises a sliding door, the sliding door comprises sliding door frames on two sides, lock holes are arranged on the sliding door frames, the sliding door further comprises a pressing assembly, and the pressing assembly comprises a bottom shell. The two ends of the bottom shell are connected with sliding door frames on the two sides of the sliding door through a plurality of fixing screws respectively, the bottom shell is connected with an unlocking assembly, the structure is simple, rigid connection is adopted, jamming is not prone to occurring, installation is convenient, the requirement for assembly precision is low, practicability is high, later maintenance and repair are convenient, the product cost is low, and the practicability is high. Furthermore, passengers and station service can unlock the sliding door through the body part during use, so that the personal safety is guaranteed, and the safety is improved.

This invention provides a method, system, computer equipment, and storage medium for predicting passenger flow at rail transit stations. The method extracts directed origin-destination (OD) pairs from the entry and exit records of an automated fare collection system using a fully directed network; determines the travel time for non-transfer and single-transfer journeys; determines the real-time location of passengers based on the OD pairs and travel time; determines the passenger flow at each station within a target time period based on the passengers' real-time locations; acquires and processes weather factors; constructs a CNN-BiLSTM-Attention passenger flow prediction model; and uses the passenger flow at each station within the target time period and weather factors as input variables to predict the passenger flow at each station using the CNN-BiLSTM-Attention passenger flow prediction model. This invention considers the influence of weather factors, time dependence, and spatial characteristics, enhancing the focus on key features and improving the accuracy of station passenger flow prediction.

The embodiment of the utility model provides a control loop and system of a rail transit platform door. The control loop comprises a safety switch which is used for being arranged on a plurality of platform doors and is provided with at least two contacts; the first safety circuit comprises a plurality of safety switch first contacts which are connected in sequence; the second safety circuit comprises a plurality of safety switch second contacts which are connected in sequence; the first safety loop is connected to the first input end of the safety controller, and the second safety loop is connected to the second input end of the safety controller. The platform door is used for achieving the effect of improving the safety of the platform door of the rail transit.

The embodiment of the present application discloses a platform screen door for rail transit. The technical solution provided by the embodiment of the present application obtains the real-time operation data of the platform screen door by setting the monitoring sensor and fault alarm of the platform screen door, and inputs the real-time operation data into a pre-built prediction model; performs multiple rounds of cyclic segmented prediction on the real-time operation data based on the prediction model, outputs the operation prediction results of each time node in the target period, and outputs a segmented prediction data of the target period in each round of prediction, and uses the predicted segmented prediction data and real-time operation data as the model input data for the next round of prediction; inputs the operation prediction results into the pre-built fault monitoring model, and outputs the fault type monitoring results of the corresponding time node based on the fault monitoring model. By adopting the above technical means, the potential fault type of the corresponding time node can be discovered in time, and accurate and efficient fault monitoring can be achieved, thereby improving the reliability and stability of the platform screen door operation.

The invention belongs to the technical field of urban rail transit safety management, and particularly discloses an urban rail transit station crowd stability identification and early warning method, which comprises the following steps: acquiring personnel action data under various crowd flow movement scenes, quantifying conflict events among personnel based on a Worronoi diagram and a speed obstacle model, and obtaining quantitative characteristics; abstracting personnel as nodes, abstracting conflict events as directed edges, and constructing a time-varying conflict network; setting a percolation threshold value, and continuously analyzing a communication state and a conflict index set of the conflict network in a threshold value increasing process; generating a stability criterion according to the change trend of the connected subgraph along with the threshold value, judging the stability of the target scene in combination with the conflict index set, and outputting an early warning signal; the method has the following advantages that individual microscopic behaviors and system macroscopic steady-state characteristics can be described at the same time, multi-scene stability criteria are unified, steady-state real-time recognition and instability early warning of people in the rail transit station are achieved, and the in-station passenger flow safety management level can be improved.