996 results about "Subway station" patented technology

The invention discloses a large-section long-footage mechanical blasting mixed excavation method suitable for a subway station, and relates to the technical field of underground rail transit engineering, and the method comprises the following steps: obtaining a tunnel section contour, a geologic structure and blasting parameters, building a three-dimensional blasting wave propagation inversion model, and combining geology and material heterogeneity to obtain a three-dimensional blasting wave propagation inversion model; and identifying a closed space region forming reflection interference, and predicting a space point location where blasting wave energy is abnormally accumulated. Based on the three-dimensional blasting wave propagation inversion model, the abnormal wave energy accumulation area is predicted in combination with geological heterogeneity, the high-risk blasting section is recognized, parameters are reconstructed, vibration real-time monitoring and model feedback correction are assisted, a closed-loop control system is constructed, local wave crest abnormity is effectively restrained, and the safety and controllability of large-section tunnel blasting construction are improved.

The invention discloses a subway service robot real-time path planning method based on a graph neural network, and the method comprises the following steps: scanning the environment in a subway station, completing the map construction, and obtaining basic environment data; performing target detection and personnel statistics to form an environment and passenger flow fusion map; taking the fused map as input, setting a starting point and a target position, and outputting a global path search initial state; calling an improved A * algorithm to carry out node expansion, calculating a cost estimation function, and generating candidate paths; performing redundant node deletion and arc smoothing processing on the candidate path, performing step length dynamic adjustment, and outputting an optimized global path; performing local path planning by adopting an improved dynamic window method, and outputting an update path in real time; a passenger evacuation scheme is generated and is output through a display screen and voice broadcast, evacuation is guided, and passing is guaranteed. According to the invention, real-time path planning of the subway service robot is realized.

The invention relates to the technical field of subway station safety management and disaster emergency, and provides a subway station flood life-saving facility arrangement optimization method and device and electronic equipment, and the subway station flood life-saving facility arrangement optimization method comprises the steps: obtaining passenger position distribution data of a target subway station and disaster data during flood; modeling the passenger density information by using a density-based noise application space clustering algorithm, and identifying a passenger high-density area; according to the passenger position distribution data and the disaster data, dividing the area in the subway station into different danger levels by using a Bayesian network; constructing a robustness optimization problem based on the passenger high-density area and the danger level; and solving a robustness optimization problem, and determining the setting position and number of the lifesaving equipment. According to the method, the arrangement position and the number of the optimized lifesaving equipment are determined by constructing and solving the robustness optimization problem, and the rescue capacity of the subway station on passengers under the flood condition can be improved by arranging the lifesaving equipment based on the arrangement position and the number of the optimized lifesaving equipment.

The invention provides a passenger flow regulation and control method based on simulation prediction and a feedback closed loop, and the method comprises the steps: obtaining monitored real-time monitoring data through a camera, and fusing the real-time monitoring data with historical passenger flow data on an edge computing device; constructing a simulation environment according to the fused data, and performing simulation prediction on passenger flow distribution of the subway station in a future time period; inputting the simulation prediction result into a strategy generation module to generate a passenger flow control strategy; executing a passenger flow control strategy, and controlling the passenger flow by adjusting hardware facilities of the station; in the passenger flow control strategy execution process, feedback data are collected in real time through a camera, the control strategy is adjusted according to the feedback data, and closed-loop regulation and control are achieved. According to the method, the passenger flow distribution of the station in the future time period is simulated and predicted, the possible congestion trend can be predicted before the actual passenger flow growth arrives, and a strategy suitable for the actual conditions of different stations is finally made through continuous verification and adjustment, so that the station operation safety and the passenger passing efficiency are improved.

The invention relates to the technical field of subway passenger flow prediction, and discloses a space-time perception subway passenger flow prediction method based on large model and multi-source information fusion, which comprises the following steps: constructing a data agent based on a large language model and a model context protocol; generating text description of each subway station and a corresponding spatial context embedding vector based on the peripheral interest point data of each subway station by utilizing a data agent; constructing an enhanced graph neural network according to the spatial context embedded vector, and performing spatio-temporal joint prediction based on the historical passenger flow data and the spatial context embedded vector by using the enhanced graph neural network to obtain a preliminary passenger flow prediction result; and constructing a cue word template, and performing domain knowledge calibration based on the cue word template by using the pre-trained large language model to obtain a final passenger flow prediction result. According to the method, external multi-source information is deeply fused, so that the urban rail transit passenger flow prediction task performance, robustness and interpretability are remarkably improved.

The invention provides a dynamic planning method for a fire evacuation path of a deep subway station based on a cellular automaton, and the method comprises the steps: building a subway space topology through employing the cellular automaton, simulating a fire environment through employing an FDS tool, and obtaining environment data; constructing a multi-field model based on subway space topology and environment data; based on the multi-field model, the pedestrian transition probability is calculated, then the pedestrian transition probability is corrected in combination with the deep subway facility characteristics and the pedestrian consensus behaviors, and finally the corrected pedestrian transition probability is output; and optimizing a cost function of an A star algorithm based on the corrected pedestrian transition probability to obtain a dynamic cost function, further obtaining an improved A star algorithm, planning an initial path based on the improved A star algorithm, formulating a path updating rule, and implementing a smooth transition strategy to realize dynamic path planning. According to the invention, the evacuation safety and the scheduling efficiency under the fire situation can be improved.

The invention provides a metro platform screen door safety monitoring method and monitoring system based on multi-source data analysis, and the method comprises the steps: obtaining a multi-source data set of a target metro platform, carrying out the time-space alignment processing of the multi-source data set, generating a multi-modal monitoring data set fusing the time-space characteristics, and carrying out the monitoring of the metro platform screen door safety. And performing foreign matter identification processing based on the multi-modal monitoring data set, generating a foreign matter monitoring result and foreign matter position distribution information of the shielding door area, performing density prediction processing according to the foreign matter monitoring result and a passenger flow data sequence in the multi-source data set, generating a passenger linear density prediction result and density change trend information, and performing density prediction processing according to the passenger linear density prediction result and the density change trend information. And generating a safety early warning strategy based on the foreign matter position distribution information and the density change trend information, and transmitting the safety early warning strategy to a subway platform control system to trigger emergency response operation. According to the invention, the emergency processing efficiency and passenger guidance accuracy of the subway platform in a sudden foreign matter blocking scene are effectively improved.

The invention provides a subway station room layout drawing wall line extraction method based on an improved Canny algorithm and Hough transform. According to the method, through image multi-channel CLAHE processing enhancement and Laplacian sharpening, an improved Canny edge detection algorithm and Hough transform are applied to detect wall lines, then wall line merging is carried out, wall line geometric data of a standardized subway station room layout drawing are extracted, an output file can be directly imported into CAD software, good practical engineering application adaptability is achieved, and the method is suitable for popularization and application. The problems that a traditional method is low in efficiency, poor in precision and unstructured in output are solved.

The invention relates to the technical field of twin models, in particular to a subway station flood prevention simulation method and system based on a three-dimensional model. According to the method, local important evaluation indexes are obtained through placename approximate analysis and concavity-convexity analysis of structures of point cloud data in a neighborhood space, and structural important evaluation indexes of single point cloud data are determined by combining and analyzing density distribution complexity in the neighborhood space; clustering the point cloud data and dividing the point cloud data into different regions; analyzing depth distribution of all the point cloud data in the regions; combining structural importance evaluation, determining an attention rate of each region, performing differential modeling and semantic processing to obtain a semantic three-dimensional model; and combining a hydrodynamic model to obtain a digital twinborn model. According to the method, differentiated three-dimensional modeling is carried out by evaluating the importance of each point cloud data in subway station flood prevention simulation, and flood prevention analysis is carried out more comprehensively and accurately by combining a digital twin model with a hydrodynamic model, so that the protection capability of subway flood prevention is improved.

The utility model relates to a capillary tube energy wall ground source heat pump air-conditioning system for a subway station. A traditional underground station air-conditioning system water chilling unit usually adopts a ground cooling tower to eliminate unit condensation heat, and the problems that the cooling tower is difficult to expropriate land and arrange, influences urban landscapes and the like exist. The system comprises a capillary energy wall close to the soil side and used for eliminating condensation heat, and the capillary energy wall sequentially comprises a structural wall, a capillary mesh buried pipe layer, a heat preservation layer, an aluminum tin film, an air interlayer, an aluminum tin film and a wall separation wall from the soil side to the station side; the capillary mesh buried pipe layer comprises a capillary mesh laid on the inner side of the structural wall. According to the utility model, station waste heat is transferred to surrounding soil through the capillary tube mesh grid laid on the inner surface of the structural wall, underground renewable energy sources are extracted for cooling, and a traditional cooling tower is reduced or replaced. The underground heat exchanger is combined with an underground station supporting structure, cold energy in soil can be extracted, heat can also be extracted, and the occupied space of the underground heat exchanger is effectively reduced.

The invention provides a subway platform edge behavior abnormity real-time identification and early warning method based on deep learning, and relates to the technical field of deep learning, which comprises the steps of obtaining real-time video data, performing pedestrian detection and track extraction, calculating behavior characteristic parameters and a dynamic distance threshold value, performing danger grade division on pedestrians, and performing early warning and early warning. According to the method, time sequence feature extraction is carried out on potential dangerous targets, a behavior abnormity scoring mechanism is established, timely early warning of abnormal behaviors is realized, the accuracy and real-time performance of safety monitoring of the subway platform can be effectively improved, and the occurrence rate of safety accidents can be reduced.

The invention provides a metro station air-conditioning water system energy saving method based on a Modelica model and a genetic algorithm, and relates to the technical field of rail transit building energy optimization and intelligent control, the method comprises the following steps: establishing a simulation model of a metro station air-conditioning water system in Dymola software based on a Modelica language; performing population initialization on the established simulation model, realizing a genetic algorithm by utilizing MATLAB, and taking minimization of the total energy consumption of the air-conditioning water system as a target function to obtain an optimization control strategy; according to the optimization control strategy, a Dymola-MATLAB joint simulation interface is constructed through Python; and according to the joint simulation interface, an optimal control strategy of the subway station air conditioner water system is obtained through genetic algorithm iterative optimization. According to the method, through the technical path of'precise modeling-intelligent optimization-closed-loop control ', the industrial problems of'high energy consumption and difficult regulation and control' of the subway station air conditioning water system are systematically solved, and an innovative solution is provided for intelligent rail transit construction.

The invention discloses a subway station air conditioning load adjusting system and method, and the system comprises a load simulation module which is used for simulating the time sequence change of cold loads and heat loads of different types of stations under different meteorological conditions and operation conditions, and generating a system training data set; the passenger travel behavior modeling module is used for establishing a time-period passenger distribution model by using subway historical passenger flow data and urban public transport survey data; outputting passenger flow densities of different areas by using a time period passenger flow distribution model; the machine learning prediction model is used for extracting multi-dimensional features as input features; a system training data set is utilized to learn the mapping relation between the input features and the target cold / heat load, and a load preset value is output; the intelligent load adjusting control module dynamically adjusts the output capacity of the air conditioning system through the building automation system according to the load preset value, and closed-loop control is achieved. According to the invention, TRNSYS simulation, behavior modeling and intelligent control are integrated, and accurate load prediction and energy-saving regulation and control are realized.

The invention discloses a subway multi-line transfer station flood multi-target dynamic evacuation path planning method. The method comprises the following steps: establishing a three-dimensional space model by acquiring subway station structure information, and abstracting the three-dimensional space model into network representation; real-time water regimen information is obtained through a hydrological sensor and video monitoring, preprocessing and fusion are carried out, and water regimen sensing data under unified space-time reference are generated; in-station crowd information is obtained in real time through video target detection, the crowd density and the traffic capacity are calculated, and crowd situation perception data are formed; generating a plurality of group evacuation path candidate schemes for different types of passengers by adopting a real-time path search algorithm in combination with the water regimen, the people flow situation and the trafficability constraint; evacuation paths are classified according to passenger types, evacuation guidance is issued through a multi-terminal channel, and differentiated dynamic guidance of departure passengers, transfer passengers and mobility-disabled passengers is achieved. According to the method, flood disasters and people flow changes can be responded in real time, and the evacuation efficiency and safety of the subway transfer station are improved.

The invention discloses a subway passenger flow prediction method, system and device considering subway-bus transfer, and a medium, and the method comprises the following steps: obtaining the historical passenger flow of a subway station in a certain region within a period of time and the historical passenger flow of a corresponding bus station around each subway station, and forming a data set; dividing the data set into a training set and a test set according to a time sequence; constructing a dynamic space-time decomposition and fusion network, wherein the dynamic space-time decomposition and fusion network comprises a time sequence decomposition module, a dynamic graph convolution module, a gated cross-modal attention fusion module and a dual-path space-time adaptive fusion module; and training the dynamic space-time decomposition and fusion network by using the training set and the test set, and predicting the subway passenger flow volume by using the optimized dynamic space-time decomposition and fusion network by using a mean absolute error, a root-mean-square error and a weighted mean absolute error percentage as performance evaluation indexes. The prediction precision is improved, and the practicability and generalization ability of the model are enhanced.

The invention relates to a metro station equipment area decoration construction stage carbon emission calculation method, which comprises the following steps: S1, only performing carbon emission calculation on metro station equipment area decoration, dividing the equipment area decoration into three subsystems, namely a ceiling system, a wall surface system and a ground system, and each subsystem comprises a plurality of unit components; s2, establishing a comprehensive carbon emission factor of the equipment area decoration unit component based on the bill of quantity; s3, according to the engineering quantity of each unit component in the engineering quantity list and the corresponding comprehensive carbon emission factor, calculating the construction stage carbon emission of each unit component; and S4, accumulating the construction stage carbon emission of all unit components of the equipment area decoration to obtain the total carbon emission of the station equipment area decoration construction stage. According to the method, the carbon emission calculation difficulty is reduced by defining the calculation boundary of the carbon emission in the construction stage and creating the comprehensive carbon emission factors of equipment area decoration including production, transportation, construction and installation based on the bill of quantity.

The invention is suitable for the field of intelligent illumination control and energy-saving management, and provides an illumination state monitoring management method and system for energy-saving operation of a subway station, and the method comprises the steps: continuously collecting the electrical characteristics, optical performance parameters, equipment basic attributes and historical operation records of illumination nodes, and carrying out the fusion to form analysis basic data; identifying potential fault risk nodes based on the data; simulating a fault influence by using a digital twin model and comparing the fault influence with a safety standard; and starting preventive optical compensation or compensation-combined graded early warning according to a comparison result. The system correspondingly comprises a parameter acquisition module, a risk analysis module, an influence analysis module and an optical compensation and early warning module. According to the invention, fault advanced pre-judgment, accurate compensation and efficient operation and maintenance are realized, the energy-saving and safe operation requirements are balanced, and the intelligent management level of the illumination system is improved.

The invention discloses a safety evacuation compliance verification method, device and equipment and a storage medium, and the method comprises the steps: building a station BIM three-dimensional information model based on integrated multi-specialty design data, and the multi-specialty design data comprises design data of buildings, structures and equipment; and intelligently comparing the spatial layout information in the BIM model with a preset specialty standard database and a safety evacuation standard database to verify whether a safety evacuation scheme coordinated by each specialty accords with a standard index or not. According to the invention, intelligent verification of subway station safety evacuation design is realized, the examination efficiency of the design scheme is obviously improved, the design period is shortened, the manual examination cost is reduced, and reliable technical guarantee is provided for subway fire safety.

The invention relates to a single-circle staggered island shield subway station middle plate and duct piece connecting node structure and a construction method, the single-circle staggered island shield subway station middle plate and duct piece connecting node structure comprises shield duct pieces and a full-prefabricated assembly middle plate, the multiple shield duct pieces are annularly spliced in the circumferential direction of a tunnel to form a tunnel lining, and the two ends of the full-prefabricated assembly middle plate are supported at the upper ends of bracket profile steel; the lower end of the corbel profile steel is connected with the inner side of the shield segment, the corbel profile steel is connected with the shield segment through a pre-embedded steel plate, a reserved connector corresponding to the fully-prefabricated middle plate is further arranged in the shield segment, and a steel bar reserved in the fully-prefabricated middle plate is in butt joint with the reserved connector. A post-pouring area is formed through pouring of post-pouring concrete and the shield segment, and the corbel profile steel is connected with the prefabricated middle plate through corbel post-pouring concrete.

The invention discloses an optimization control method for the construction process of a long, large and deep foundation pit of a subway station, and relates to the technical field of foundation pit construction. Before construction, foundation pit geology and surrounding environment data are firstly obtained and analyzed to obtain a comprehensive foundation pit construction environment evaluation value, and the influence degree of foundation pit excavation is predicted according to the comprehensive foundation pit construction environment evaluation value; then, according to a prediction result, a proper optimal enclosure structure form is selected; secondly, dividing a target subway station into 10 foundation pit sub-regions, constructing an excavation sequence initial population by adopting integer coding, and analyzing a fitness evaluation value of each excavation sequence; and finally, according to the fitness evaluation value, determining the optimal excavation sequence of the target subway station. According to the method, through multi-step cooperation, a scientific and systematic optimal control scheme is provided for construction of the long, large and deep foundation pit of the subway station, and construction safety and quality can be guaranteed.

The invention relates to the technical field of metro key station identification and vulnerability evaluation methods, in particular to a metro key station identification and vulnerability evaluation method, which specifically comprises the following steps: step 1, metro network construction: establishing a weighted metro network model by adopting a Space-L space method according to a topological relation between metro stations and intervals, taking stations as nodes, intervals as edges and passenger flow as edge weights to form a weighted graph structure reflecting passenger travel rules, constructing an OD passenger flow matrix based on subway passenger flow card swiping data, and quantifying passenger flow connection strength between different stations; according to the method, the time-varying importance evaluation of the dynamic Domiank is combined with the feature learning ability of the graph convolutional network, and meanwhile, the structural complexity and passenger flow dynamic features of the subway network are described, so that the high-precision identification of the key stations and the comprehensive evaluation of the network vulnerability are realized.

The invention relates to a carbon dioxide combined cooling heating and power supply system, which realizes liquid carbon dioxide energy storage and combined cooling heating and power supply through the technologies of liquid carbon dioxide energy storage, Brayton expansion power generation or pressure increasing heating, carbon dioxide variable-capacity stable-pressure storage and gas transmission, and provides a new energy source for safe and long-period operation and large-scale or small-scale application of an energy storage device. An efficient and feasible technical path is provided for'valley shifting and peak filling 'of photovoltaic power, wind power and a power grid, and the method is suitable for various application scenes such as subway stations, large shopping malls, refrigeration houses or large electricity users.

The present invention relates to the field of subway construction, and particularly relates to an assembling device for the middle-layer components of an assembled subway station, which includes a guide rail, a side splicing mechanism of the frame and an intermediate splicing mechanism. The guide rail is laid on the top surface of the bottom-layer components of the assembled subway station and is arranged along the length direction of the assembled subway station. The frame is slidably connected to the guide rail. The side splicing mechanism is arranged on the frame. The side splicing mechanism includes a first positioning device and a pressing device. The side components of the middle-layer components of the assembled subway station are placed on the first positioning device. The first positioning device is used to adjust the position of the side components, and the pressing device is used to press the side components to be assembled and the side components that have been assembled. The intermediate splicing mechanism is arranged on the frame. The intermediate components of the middle-layer components of the assembled subway station are placed on the intermediate splicing mechanism. After the side components are assembled, the intermediate splicing mechanism lapps the intermediate components on the side components to complete the assembly of the middle-layer components of the assembled subway station.

The invention relates to a talaromyces purpureogenus strain D01 and application of the talaromyces purpureogenus strain D01, and belongs to the technical field of microorganisms. The talaromyces purpurogenus D01 disclosed by the invention is preserved in Guangdong Microbial Culture Collection Center, and the preservation number of the talaromyces purpurogenus D01 is GDMCC NO.66458. The strain is obtained by separating and purifying soil samples near exits of Guangzhou Taitai and subway stations, and tests show that bacteriostatic active substances generated by fermentation of the strain have good bacteriostatic effects on burkholderia cepacia, staphylococcus aureus, pseudomonas putida, pseudomonas aeruginosa, escherichia coli and candida albicans. And the antibacterial active substance has high temperature resistance and excellent preservative effect, can be used as an antibacterial preservative raw material to be applied to the fields of food, health care products or daily chemical products and the like, and has wide application prospects and important conversion research values.

The invention discloses a grouting lifting device for an existing close-to-underpass structure of a subway station, and relates to the technical field of engineering construction equipment, the grouting lifting device comprises a mobile vehicle, a grouting assembly, an adjusting frame, a first linear driving mechanism, a grouting pipe, a second linear driving mechanism and a grouting head. The grouting assembly conducts grouting lifting work, a grouting pipe in the grouting mechanism is used for conducting grouting conveying on grout, and the grouting pipe discharges the grout from a grouting head; the second linear driving mechanism can drive the grouting pipe to do linear reciprocating motion, the grouting pipe is matched with the grouting head to achieve reciprocating type impact operation on grout, so that the grout in gaps and holes in an existing structure does pulse type motion, the compaction treatment effect of the grout in the existing structure or on a foundation soil layer is better, and the grouting efficiency is improved. The contact filling uniformity of the grout to the interior of the existing structure or the soil layer of the foundation is better, and the reinforcing and lifting effect of grouting on the foundation is better.

The invention provides a method and a device for drawing a subway station platform layer building limit range graph based on CAD (Computer Aided Design), and relates to the technical field of data processing.The method comprises the following steps: acquiring a line center line entity object of a subway station platform layer, dividing the building clearance area into an effective platform range, an effective platform outer corridor range and a side wall range based on the line center line; according to preset vehicle model parameters and area types, the building limit reference value of each area is obtained, the dynamic widening amount is obtained by combining the larger value of the curve widening amount and the turnout widening amount, and the total building limit value is the sum of the reference value and the dynamic widening amount. According to the invention, the automatic and high-precision generation of the limit diagram is realized.

The present invention provides a mechanical shield-bored separated island-type subway station drainage system, which includes a left-line shield tunnel body, a right-line shield tunnel body, a platform shield tunnel body, a left-line local water collection well, a right-line local water collection well, a wastewater pump room and a wastewater tank; the present invention fully utilizes the existing space of the shield according to the space limitations of the shield form, rationally plans and collects station drainage such as structural seepage, firefighting wastewater, and flushing water, does not need to add a separate wastewater pump room while meeting the use requirements, utilizes existing conditions and innovates thinking, has a reasonable wastewater outlet, and the wastewater pipeline laying method is convenient for construction, installation and daily maintenance and repair, and has good social and economic benefits.

The invention discloses a subway station channel pedestrian abnormal overtaking behavior identification method, which comprises the following steps: acquiring pedestrian motion videos in morning and evening commuting peak periods of a subway station channel, and extracting pedestrian motion feature data when a plurality of overtaking behaviors occur; firstly, a correlation analysis method is adopted to screen out an overtaking behavior key characterization index G which generates the most significant correlation influence on the walking speed of other pedestrians, then a quartile difference method is adopted to calculate an upper limit threshold Tu of the overtaking behavior key characterization index G so as to obtain a discrimination index M, then the discrimination index M is utilized to carry out negative and positive judgment on the overtaking behaviors, and finally the negative and positive judgment is carried out on the overtaking behaviors. And finally, according to the ROC curve, obtaining an optimal judgment threshold value G * of the key characterization index G of the exceeding behavior, and completing the judgment of the abnormal exceeding behavior by using the optimal judgment threshold value G *. Based on the quartile difference and the ROC curve, the abnormal pedestrian overtaking behavior of the subway station channel is recognized, and a scientific basis is provided for abnormal overtaking behavior recognition and control, refined passenger flow organization and facility design and the like.

The invention discloses a rail transit dispatching command system, which belongs to the technical field of rail transit dispatching and comprises a data acquisition module, a data integration module and a dispatching command module. The data acquisition module collects current urban rail transit data, including traffic routes, station intervals, driving intervals and subway parameters, collects gate data of different stations of the current urban rail transit, obtains real-time passenger flow data of different subway stations under the jurisdiction of a city, and obtains the real-time passenger flow data of the different subway stations through installing infrared sensors at subway doors. Collecting real-time passenger flow data of different metro shifts; the data integration module establishes files based on the number of rail transit lines by establishing a rail transit information database. According to the rail transit dispatching command system, different line parameters of urban rail transit are collected, the subway stopping time is flexibly adjusted based on the real-time passenger flow volume, dynamic dispatching is carried out on subways of morning and evening peak transfer stations, and practicability is enhanced.

The invention provides a safety-oriented subway station passenger flow dynamic control method and system, and relates to the technical field of rail transit, and the method comprises the steps: calculating the time utility of each directed path and the selection probability of stairs and ladders according to real-time detection data, simulating the pedestrian walking process based on a microscopic pedestrian simulation model, and constructing a subway station simulation model; performing gridding processing on the preset risk detection area, constructing a multi-level comprehensive risk degree evaluation model based on the subway station simulation model in combination with the congestion level, the space risk, the train operation condition and the traffic capacity, and determining the comprehensive risk degree; constructing a prediction model; and with the minimization of the difference between the predicted risk degree and a set safety reference value as a target, optimizing the pull-in service delay time through closed-loop control to obtain the pull-in service delay time. The invention provides a metro passenger flow control method oriented to microscopic crowd safety. The metro passenger flow control method overcomes the defect that in the prior art, only the macroscopic service level or congestion is concerned, and local dynamic risks are ignored.