1211 results about "Subway station" patented technology

The invention discloses a subway ventilation demand dynamic decision-making method and system fused with people flow prediction, and belongs to the technical field of intelligent traffic and environment control, and the method comprises the steps: collecting real-time people flow data, historical passenger flow records, station layout information and external environment parameters of each region in a subway station; constructing a deep learning prediction model through multi-source data fusion, and generating short-term and medium-term people flow distribution prediction results; based on the prediction result, combining the ventilation equipment operation parameters, the air quality index and the energy consumption cost to construct a multi-objective optimization model; dynamic decision making is carried out on a ventilation system by utilizing the model, and an optimal ventilation strategy in different regions and different time periods is output; through a real-time feedback mechanism, prediction and control parameters are continuously corrected according to actual people flow changes, closed-loop regulation and control are formed, the response precision and the energy efficiency level of a subway ventilation system can be remarkably improved, and passenger comfort and environment safety are guaranteed.

The invention provides a switching station control method and system of a subway station. The system comprises a subsystem control unit, a main control unit, a communication module and a data caching module, the subsystem control unit transmits an equipment on-off state, a fault signal and an environment parameter to the main control unit in a hybrid networking mode, and a first cooperative control instruction set is generated in combination with a linkage rule base; a target priority is distributed for the operation instruction to obtain a second cooperative control instruction set, and the communication module adopts a multi-channel parallel distribution mechanism for pushing; in the process of executing the switching station operation, the data caching module stores running state data, identifies a time sequence mode by using a machine learning model, pre-judges a switching station linkage scene and loads a control strategy; and the main control unit detects the response delay of the subsystem control unit and generates a third cooperative control instruction set according to the control strategy so as to optimize the switching station control time sequence. According to the invention, intelligent cooperative control of multiple electromechanical devices can be realized.

The invention discloses a metro station non-commuting passenger proportion calculation method based on a random forest model, and the method specifically comprises the steps: selecting a research region, and collecting metro-related built environment data and transportation data; important built-up environment variables are determined through preliminary analysis, and variables influencing non-commuter are added; establishing a prediction model by adopting a random forest algorithm, and dividing a training set and a test set; analyzing the output of the random forest model by applying an SHAP technology, and determining the importance sequence of the influence of each built-up environment factor on the proportion of non-commuting passengers and the action mechanism of the influence of each built-up environment factor; according to the size of the SHAP value and in combination with an actual scene, a numerical matrix of all built-up environment factors around the subway station in the scene is determined; and substituting a model coefficient result into the established environment factor matrix, and calculating the subway station non-commuting travel proportion. According to the method, the prediction precision of the non-commuting passenger quantity of the subway station is remarkably improved, the understanding of non-commuting travel behaviors is deepened, and powerful support is provided for urban traffic management and planning.

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 relates to a subway station large passenger flow emergency command linkage method and device and a storage medium. The method comprises the steps that station passenger flow information is received in real time; the station passenger flow information is preprocessed and analyzed, and real-time passenger flow data are extracted; the historical passenger flow data and the real-time passenger flow data are utilized, the future passenger flow condition and the number of passengers getting off a train about to arrive are predicted through a machine learning algorithm, if it is predicted that the future passenger flow exceeds a station bearing capacity threshold value, the abnormal passenger flow condition is judged, and if it is judged that the abnormal passenger flow is generated, a large passenger flow alarm is generated; alarm information is automatically generated according to large passenger flow alarm, and is pushed to an operation control center for confirmation; and after the alarm information is confirmed, an emergency plan is started for station management and control. Compared with the prior art, real-time monitoring, early warning, evaluation and emergency command of the large passenger flow of the subway station are realized, and the emergency response speed and the disposal efficiency 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 a subway station pedestrian emergency evacuation system and method based on identification guidance, in particular to a dynamic identification guidance system optimized in combination with Legon simulation software. According to the system, a dynamic identification device is deployed in a subway station, Legon simulation software is combined to simulate and analyze people flow in the station in real time, and an optimal evacuation path is provided. In an emergency, the system dynamically adjusts the guiding direction of the evacuation identification by using simulation data and environment monitoring information. Legion simulation software can accurately simulate driving behaviors of passengers in different environments and under different congestion conditions, so that the accuracy of an evacuation scheme is improved. Through a simulation test, the system can significantly reduce the evacuation time, improve the evacuation speed, optimize the distribution of personnel in the station, reduce the residence time in a high-density area, and ensure the safe evacuation of passengers in an emergency.

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 an underground engineering construction design technology, discloses a method for analyzing the influence of underground excavation under-crossing on an existing subway station, and improves the efficiency and precision of analyzing the influence of underground excavation under-crossing construction on the existing subway station. The method comprises the steps that by defining a structure and geometrical shapes and material attributes of a stratum, boundary conditions and external loads are set, grid division is carried out, and a finite element three-dimensional basic calculation model is constructed; according to theories of porous media and the like, a multi-physical field coupling model of a seepage-deformation-temperature full coupling effect is constructed; the rigidity of the underground excavation vertical pile foundation is calculated, and the rigidity of the underground excavation vertical pile foundation is corrected based on the influence factors of the soil squeezing effect and the negative friction resistance; subsurface excavation construction is subdivided into a plurality of stages, structural stress, deformation and stratum displacement are calculated through an incremental method, and the timeliness of a supporting structure and the influence of different excavation modes on stratum disturbance are analyzed; and obtaining a structural response through finite element iteration solution, and judging the influence of underground excavation under-crossing on the existing subway station.

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 field of metro platform smoke control, in particular to a metro platform screen door type smoke exhaust system based on a one-way closed smoke exhaust ventilation valve, which realizes communication between a metro platform space and a station tunnel space under a smoke exhaust working condition by arranging the one-way closed smoke exhaust ventilation valve above a platform screen door type top beam. A shielding door system mode is converted into an opening and closing type system mode for smoke exhaust scheme design, arrangement of a rail top air duct on a subway platform is avoided, and arrangement of a subway platform smoke exhaust system is simplified. The one-way closed smoke exhaust ventilation valve can meet the requirement that the train in the upstream section crosses the fire subway platform, smoke backflow is avoided, the control technology of the one-way closed smoke exhaust ventilation valve is simple, and manual or automatic control intervention can be avoided.

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 discloses supporting axial force self-compensation type subway station foundation pit supporting equipment and method, and belongs to the technical field of foundation pit construction. The equipment comprises a bottom plate, a supporting assembly arranged on the bottom plate, a driving assembly arranged on the bottom plate and connected with the supporting assembly and a PLC electrically connected with the driving assembly; the supporting assembly comprises a main support connected to the bottom plate in a clamped mode, a supporting plate arranged on the main support and a follow-up supporting rod arranged between the supporting plate and the main support, and a pressure sensor is arranged on the supporting plate. The driving assembly is used for driving the supporting plate to move on the bottom plate; the PLC is electrically connected with each electric device; the equipment is reasonable in structural design, the pressure sensor is arranged on the supporting plate, the driving motor is used for conducting self-adaptive compensation on supporting axial force on the supporting plate, the safety of subway station foundation pit construction can be improved, and the equipment is suitable for application and popularization.

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 concrete pouring device for metro station construction, and relates to the technical field of concrete pouring, the concrete pouring device for metro station construction comprises a base, the base is provided with a feeding bin and a discharging port, the discharging port is provided with a discharging pipe, the discharging pipe is provided with a three-way connector, and the three-way connector is provided with a plurality of through holes; a pouring pipe is installed on the three-way connector, two flow dividing openings are formed in the pouring pipe, the flow dividing openings are connected with the three-way connector, and three pouring openings are formed in the pouring pipe. When concrete is poured, stirred concrete is injected into the feeding bin and flows through the three-way connector from the discharging opening along an internal flow channel; concrete flows into the pouring pipe from the two output ports of the three-way connector through the flow dividing port, the concrete finally flows to a building face needing to be poured from the pouring connectors of the pouring port, the three pouring connectors conduct pouring synchronously, the pouring method is suitable for a construction site with large-area pouring, the unit pouring area can be increased, and therefore the construction efficiency is improved.

The utility model relates to a subway station cast-in-place concrete side wall large steel formwork supporting system which comprises a bottom plate and a large steel formwork, the bottom plate is provided with a side wall base corresponding to the bottom of a side wall, and a side wall reinforcement cage is bound on the side wall base; the large steel die is arranged on the bearing beam and comprises a large steel die panel, a large steel die support and a cantilever operation platform, the large steel die panel abuts against the side face of the side wall base, the large steel die support is fixed to the back face of the large steel die panel, and the cantilever operation platform is arranged at the top of the large steel die support. The utility model has the beneficial effects that by arranging the bearing beam and the sliding beam structure, the high-precision adjustment of the large steel mould is realized by utilizing the longitudinal jack and the transverse jack, and the sliding resistance can be effectively reduced by fully paving the stainless steel composite plates on the top surface of the bearing beam; three hydraulic rod mounting structures are provided and can be used for solving the problems that a foundation pit inner support exists on a large steel mold, a reverse top plate exists on the large steel mold, and neither the foundation pit inner support nor the reverse top plate exists on the large steel mold.

The invention discloses a subway station dynamic passenger flow management and control method based on an AnyLogic platform. The method comprises the following steps: setting passenger flow management and control scene information; generating a subway station layout generation graph based on the passenger flow control scene information; dynamically generating a multi-agent pedestrian logic generation graph based on the subway station layout generation graph, wherein the multi-agent pedestrian logic generation graph corresponds to the passenger flow dispersion route; and carrying out analogue simulation in the subway station dynamic passenger flow management and control system based on the passenger flow dispersion route, and verifying and evaluating passenger flow dispersion effects in different passenger flow management and control scenes. The invention further discloses a corresponding system, the architecture of the system adopts a four-layer system structure which comprises a front-end application layer, a data service layer, an application layer and a business service layer, the configuration states of various facilities in the station can be flexibly adjusted through analogue simulation and real-time data feedback, intelligent prediction and optimization can be carried out on passenger flow distribution, a passenger flow dispersion scheme is optimized, and the system is high in practicability. It is ensured that the station operates efficiently under different passenger flow densities, and more accurate and efficient passenger flow management and control are achieved.

The invention discloses a subway separation island type underground excavation station construction method. The method comprises the following steps that a vertical shaft is excavated, and a construction transverse channel connected with a pilot tunnel is excavated; pilot tunnels are constructed and supported; constructing an enclosure structure and a waterproof curtain, and constructing a top beam on the pile; an advance support and a primary support are constructed, and large arch earthwork is excavated; pouring an arch secondary lining structure; pouring the side wall and the middle plate; constructing a structural bottom plate and side walls; constructing a contact channel; and a platform plate and a rail top air duct are constructed. The method has the advantages of being safe and reliable in construction process, low in economic cost, small in environmental influence, good in passenger use attribute, high in underground space utilization rate, convenient to connect with surrounding traffic and urban space and the like, and has wide popularization prospects.

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 utility model provides an assembly type subway station side wall installation translation device which comprises a base. The platform is arranged on the upper portion of the base and slidably connected with the base through a sliding assembly; one end of the first driving device is connected with the platform, and the other end is connected with the base through a first supporting piece for driving the platform to move; the guide wheel assembly is located in the base; one end of the second driving device is connected with the guide wheel assembly, the other end of the second driving device is connected with the base through a second supporting piece, and the second driving device is used for driving the guide wheel assembly to longitudinally move to stretch or retract; and the power device is arranged on the base, connected with the first driving device and the second driving device and used for providing power for the first driving device and the second driving device. The assembly type subway station side wall installation translation device is small in occupied area, rapid in assembly and movement and easy to operate, can effectively replace the function of a trolley when used in cooperation with a gantry crane, improves the assembly speed and reduces the manufacturing cost.

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 discloses an intelligent monitoring system for a subway platform door, and relates to the technical field of intelligent monitoring. The method comprises the following steps that platform door operation data are transmitted to a station PC terminal; the site PC terminal preprocesses the data and then sends the data to the switch; the camera collects a panel image of the power supply control system, identifies indicator light information and key information of the panel, and sends the information to the switch; the various sensors collect environment data of the equipment room and transmit the environment data to the line server through the comprehensive monitoring network, and indicator light information, key information and platform door operation data are sent to the line server. And the line server analyzes the uploaded data and sends an analysis result to the management end PC. According to the system, the operation state, fault information, PSL / IBP and other operation and use conditions of the platform door of each station are remotely monitored in real time through the system, the state and fault information of the power supply system are monitored in real time, the monitoring strength and supervision efficiency of the subway platform door are improved, and the workload of platform door management personnel is reduced.