576 results about "Passenger transport" patented technology

The invention relates to the technical field of railways, and discloses a railway passenger train operation state monitoring system based on artificial intelligence, which comprises a multi-modal sensor array, an edge AI judgment platform and a cloud intelligent decision center. According to the railway passenger train operation state monitoring method and system based on artificial intelligence, 28 parameters of a contact network, a running gear and the like are collected in real time through a multi-modal sensor array, an edge AI judgment platform utilizes a cross-modal fusion algorithm to deeply mine multi-source data potential association, the fault diagnosis accuracy is improved, and the fault diagnosis efficiency is improved. The cloud intelligent decision center dynamically aggregates gradient parameters of the edge end model based on federated learning, filters abnormal nodes and updates the abnormal nodes in an hour-level period, and constructs a digital twinborn model in combination with a Spark framework to realize dynamic parameter optimization; the fire-fighting early warning fusion model is linked with the air conditioner pressure and the compartment sealing state correction threshold value through a three-stage mechanism of parameter initial judgment, visual verification and environment verification, it is ensured that the early warning response time is shorter than 200 ms, and cooperation with the overall state of the train is achieved.

The invention relates to the technical field of weld joint alignment tolerance detection of special equipment, spaceflight, bridges, ships, wind power and the like, such as containers, pipelines, boilers, recreation facilities, hoisting machinery, passenger ropeways and the like. The invention discloses an automatic weld joint alignment tolerance detection method fusing point cloud and image segmentation, which can quickly and accurately measure the alignment tolerance of a weld joint by combining binocular stereoscopic vision, AI and point cloud analysis technologies, and make up for the defects of the traditional detection method in efficiency and accuracy. The method comprises the following specific steps: shooting through a binocular structured light camera to obtain a grey-scale image and a point cloud image which are aligned; segmenting a welding seam on the grey-scale map, generating a position area mask according to the segmented welding seam, and dividing the actual object into an upper welding seam area, a welding seam area and a lower welding seam area; and according to the segmented welding seam, a welding seam boundary mask is extracted, the position mask and the boundary mask are mapped to a point cloud picture, and regional point cloud data and boundaries are obtained.

The invention is suitable for the technical field of railway passenger flow prediction, and provides a railway passenger flow prediction method and system based on a knowledge graph and a multi-modal large model. The method comprises the following steps: carrying out multi-source data acquisition on a plurality of preset heterogeneous data sources, and carrying out multi-source data preprocessing to obtain multi-modal data; entity and relation information is extracted from the multi-modal data, a knowledge graph is constructed, and the knowledge graph is dynamically updated; acquiring real-time input data, performing association reasoning on the real-time input data and the knowledge graph by using a preset multi-modal large model, and outputting a passenger flow prediction result; and carrying out visual display on the passenger flow prediction result, and providing scheduling optimization suggestions. According to the method, the problems of high data isomerism, slow knowledge graph updating, insufficient multi-modal data association analysis capability and the like in the prior art can be solved, so that efficient and accurate prediction of the railway passenger flow is realized, effective decision support is provided for railway passenger transport management, and the intelligent level and economic benefits of railway operation management are improved.

The invention relates to a shared automobile passenger and freight co-transport method based on a vehicle-mounted freight unmanned aerial vehicle technology, the method combines an unmanned aerial vehicle and a shared automobile to carry out passenger and freight co-transport, the unmanned aerial vehicle is used for processing delivery time-sensitive lightweight packages, and the shared automobile assists the unmanned aerial vehicle in completing a package distribution task while completing passenger transport. Comprising the following steps: constructing an unmanned aerial vehicle-shared automobile passenger and freight co-transport path optimization objective function and constraint according to an unmanned aerial vehicle-shared automobile passenger and freight co-transport mode, and selecting a decision variable; and carrying out shared automobile path planning based on the target function and the constraint, and generating an unmanned aerial vehicle-shared automobile passenger and freight co-transportation scheme according to a path planning result. Compared with the prior art, the invention provides a logistics form of shared automobile-unmanned aerial vehicle passenger and freight co-transportation, and realizes freight network flow expansion cost minimization on the premise of ensuring passenger transportation service efficiency and level.

The invention relates to an airport operation guarantee capability evaluation and analysis method, which belongs to the field of airport operation and maintenance, and comprises the following steps: intelligently predicting the number of entering airplanes and the number of entering and exiting passenger flows of a target airport in a future time interval by using an airport operation and maintenance analysis model; sending a runway increase request when the number of entering aircrafts exceeds the aircraft capacity threshold value of the target airport in the future time interval, and sending a passenger flow overrun signal when the number of entering and exiting passenger flows is larger than the upper limit of the number of entering and exiting passenger flows of the target airport in the set interval duration. The invention also relates to an airport operation guarantee capability evaluation and analysis system. According to the invention, in order to solve the technical problem that it is difficult to consider time-sharing passenger transport demand meeting and airport operation and maintenance resource saving in the prior art, the airport operation and maintenance analysis model is introduced to predict the number of entering airplanes and the number of entering and exiting passenger flows of the target airport in the future time interval; and executing airport operation guarantee capability evaluation analysis and airport operation and maintenance resource dynamic adjustment, thereby solving the technical problems.

The embodiment of the invention relates to datum line arrangement processing. The datum line arrangement processing comprises the following steps: acquiring various travel mode information; determining a unit mileage emission factor of each travel mode; obtaining the passenger transport turnover of each travel mode information through big data processing; when the travel mode is the first travel mode, determining a unit passenger transport turnover discharge factor of the first travel mode according to the ratio of the unit mileage discharge factor to the average passenger number; when the travel mode is a second travel mode, determining a unit passenger transport turnover discharge factor of the second travel mode according to the ratio of the unit mileage discharge factor to the average passenger number; according to the unit passenger transport turnover quantity emission factors of the first and second travel modes, the passenger transport turnover quantity of the first travel mode and the passenger transport turnover quantity of the second travel mode, calculating a datum line emission quantity; determining the actual discharge amount of the passenger transport turnover of the first trip mode; and the emission reduction amount is calculated according to the difference value between the datum line emission amount and the actual emission amount.

The invention discloses an urban passenger transport resource allocation method and system based on Internet big data, and belongs to the field of intelligent transportation. A bus station service matching model is constructed, service areas are divided through bus station space distribution, service radius and travel data, travel demand intensity and station matching degree are evaluated, and the service efficiency is improved. The method comprises the following steps: establishing an accessibility evaluation model, evaluating the accessibility level of each station through destination information around the station, establishing a bus and subway collaborative evaluation model, evaluating the substitution effect of the subway on the bus and the collaborative degree of the bus and the subway through transfer data, and establishing a station residence time optimization model. The matching degree, the accessibility, the substitution degree and the cooperation degree are imported into a station residence time optimization model to adjust the residence time of the bus at each station, a bus shift dynamic adjustment model is constructed, weather and event external factors are imported into the bus shift dynamic adjustment model to predict passenger flow changes and optimize shift setting, and the bus shift dynamic adjustment model is constructed. And the bus dispatching efficiency and the operation stability are improved.

The invention relates to the technical field of passenger flow prediction, in particular to a passenger flow prediction method based on language model fusion, which is suitable for railway operation scenes such as train working diagram dynamic adjustment and passenger transport organization, and comprises the following steps: firstly, collecting passenger flow, holidays, weather and event multi-source data and preprocessing; in the first stage, passenger flow data is input by using time sequence models such as PatchTST and the like, and preliminary predicted values in a plurality of time periods in the future are output; and textualizing the predicted value, generating external semantic information, constructing a fusion Prompt input language large model, and optimizing the predicted value after comprehensive analysis. According to the passenger flow prediction method based on language model fusion, numerical trend and semantic collaborative modeling is realized, the prediction precision of holidays and holidays and emergency scenes is improved, the result interpretability is enhanced, and the prediction efficiency is improved. Generalization is high, the structure is flexible, and reliable support is provided for railway operation decision making.

The invention provides a layered multi-agent car-pooling vehicle scheduling method and device, and relates to the technical field of inter-city passenger transport car-pooling planning, and the method comprises the steps: obtaining passenger demand distribution, vehicle distribution and prediction data of origin and destination cities, combining a driving time matrix, a distance matrix and historical car-pooling data of regions, and carrying out the inter-city passenger transport car-pooling planning. And constructing a hypergraph structure and forming a model constraint. In the city level, the city intelligent agent carries out vehicle scheduling according to passenger and vehicle distribution in the city; and in the global level, the global intelligent agent further implements inter-city vehicle scheduling based on the scheduled state in the city. Through global vehicle and passenger distribution data, passengers and vehicles in the city are firstly matched, and then inter-city vehicles are scheduled according to a matching result, so that related transport mechanisms can configure transport capacity resources in advance. The waiting time of passengers and the empty driving range of drivers are effectively reduced, the problem of unbalanced distribution of passengers and vehicles between cities is recognized and relieved in advance, and meanwhile, the operating profit of a company is improved.

The invention discloses a multi-mode continuous transportation supply and demand matching degree evaluation method for a comprehensive transportation junction, and the method comprises the steps: carrying out the collection, cleaning, standardization and time-space alignment of multi-source passenger flow and transport capacity data of inter-city traffic and an intra-city continuous mode, and constructing a unified data basis; according to operation characteristics of different connection modes, a differential supply and demand measurement model is established, and accurate mapping of multi-mode passenger flow and transport capacity is realized through a total passenger flow-connection mode distribution matrix; and introducing a cloud model theory, and carrying out weighted fusion on matching degree indexes of each continuing mode to describe fuzziness and uncertainty in a supply-demand relationship, so as to realize quantitative evaluation of the multi-mode transport capacity coordination level of the comprehensive hub. Through differential supply and demand modeling and cloud model fusion, the supply and demand matching state of multi-mode continuous transportation of the comprehensive passenger transport hub can be accurately reflected, and a scientific decision basis is provided for operation scheduling and resource optimization of a hub management department.

The invention provides a railway passenger transport operation safety risk hidden danger troubleshooting method and system, and the method comprises the steps: synchronously collecting various operation data, including communication and broadcast voice, station guide screen state, fault log and operation environment sensor data; and determining a homework voice main body by using the voiceprint recognition model, and converting the homework voice main body into a homework text after noise Meanwhile, key entity information is extracted from all kinds of data and is aligned with the homework text. And performing semantic extraction and logical reasoning comparison on the aligned text and information in combination with a multi-modal risk knowledge graph, outputting a real-time troubleshooting result according to a preset risk assessment mechanism, and feeding back the real-time troubleshooting result to an operation text main body, so as to realize troubleshooting of the railway passenger operation safety risk hidden danger. Real-time and accurate troubleshooting of the railway passenger transport operation safety risk hidden danger is realized, and the safety management level of the railway passenger transport operation is effectively improved.

The invention discloses a passenger and freight integrated interruption recovery method and system, and particularly aims at an operation mode that a passenger airline company uses a passenger plane belly cabin to transport goods and carries out collaborative transportation with passengers in the passenger cabin. The core of the method is an innovative'preliminary generation-supplement 'search strategy. According to the strategy, a cargo transfer network with limited transfer times is firstly generated, and then the transfer times are gradually increased until all affected cargoes are properly arranged or reach the maximum transfer time limit, so that a cargo transportation path is efficiently generated and optimized, unnecessary calculation is avoided, and the solving efficiency is improved. The method gives consideration to the benefits of airlines, passengers and buyers in the flight recovery process, and reduces the loss caused by interruption to the greatest extent. And meanwhile, the blank of the existing passenger and freight integrated flight interruption recovery method is filled, a more comprehensive and efficient flight recovery solution is provided for airlines, and the competitiveness of the airlines in a complex operation environment is enhanced.

A structure and passenger transport paradigm for accommodating passengers in a vehicle with particular attention paid to safety, utility and comfort, social networks including a technology configured to enable community engagement in personal protection and methodologies for virtual visualization and navigation in a remote physical space and provides a mechanism for verification and authentication of video and other evidence.

The invention relates to the technical field of traffic transportation, in particular to a railway hub passenger transport demand prediction system and method based on multi-dimensional analysis, and the method comprises the following steps: S1, multi-dimensional data collection and preprocessing: collecting multi-dimensional data related to railway hub passenger transport demands; s2, key factor analysis: analyzing the influence of key factors on the passenger transport demand in different time and space ranges; s3, regional linkage prediction: capturing a passenger flow dependency relationship of the weighted graph in a spatial dimension through a graph neural network model, and predicting a passenger transport demand of regional linkage in combination with a key factor analysis result; and S4, prediction result verification and resource optimization suggestion: generating the resource optimization suggestion for the railway hub. According to the method, specific strategies such as train number adjustment, platform scheduling optimization and peak period resource allocation are generated for railway hub operation, passenger flow fluctuation can be flexibly adapted, and resource allocation is dynamically optimized.

The invention belongs to the technical field of bus operation management, and discloses a bus operation digital management platform based on a low-code platform. Comprising a monitoring period division module, a vehicle driving data monitoring module, a running vehicle behavior analysis module, a historical personnel data monitoring module, a real-time personnel data monitoring module, a running vehicle scheduling analysis module, a vehicle scheduling effect evaluation module and a data storage library. According to the invention, based on the historical passenger transport demand condition and the real-time passenger transport demand condition of each bus station in the current monitoring time period, whether flexible scheduling vehicles need to be added to each bus station in the current monitoring time period is judged, the passenger flow rule can be accurately informed, reasonable putting of the vehicles is realized, and the resource utilization rate is improved. According to the invention, the specific scheduling mode is further identified after whether the flexible scheduling vehicle needs to be added at each bus station is judged, so that the resource utilization efficiency is practically improved, the endless loss of the transport capacity is avoided, and the vehicle delivery is perfectly matched with the passenger flow distribution.

The invention relates to the technical field of customized passenger transport services, in particular to a customized passenger transport route planning method and system, and the method comprises the steps: obtaining an initial route planning result and an order station of a passenger transport vehicle, and constructing graph structure data; in response to a newly added high-priority order of the passenger vehicle, performing path planning again by taking the coordinate point of the current passenger vehicle as a starting point and the coordinate point of the high-priority order as a terminal point; according to the actual effective rate from the coordinate point of each passenger vehicle to the coordinate point of the high-priority order in the graph structure data, obtaining the initial probability distribution of each passenger vehicle; and further correcting the initial probability distribution to obtain a correction probability distribution model, performing a new path planning result, and completing the customized passenger transport service according to the new path planning result. According to the method, high-priority orders are dynamically responded, the path is quickly re-planned, the vehicle empty driving rate and response delay are effectively reduced, and the detouring cost is reduced.

The invention relates to the technical field of fatigue tests, and discloses a vibration device for a fatigue test of a passenger ropeway carriage, the vibration device comprises a support control positioning mechanism and a height control positioning mechanism, the middle position of the support control positioning mechanism is connected with a vibration adjustment positioning mechanism, and the support control positioning mechanism comprises a positioning frame; a positioning column is fixedly arranged at the bottom end of the positioning frame, a fixing frame is fixedly arranged at the bottom end of the positioning column, and a plurality of supporting legs are fixedly arranged at the outer end of the fixing frame. The vibration mechanism can move along a square track, so that reciprocating linear vibration or rotating circular vibration is realized; due to the multidirectional vibration capability, the test working condition is closer to the actual operation scene, and the accuracy of fatigue life evaluation is improved; the vibration mechanism supports multidirectional movement and can simulate complex vibration working conditions caused by passenger walking, goods unbalance loading and the like, and the working condition coverage of the test is remarkably improved.

The utility model relates to a railway passenger train vehicle-mounted sewage treatment system, which comprises a vacuum pumping drainage system, a sewage treatment system and a control system, the sewage treatment system comprises a sewage tank, a primary filter, a booster pump and a reverse osmosis processor, the sewage tank is arranged at the bottom of a train carriage, and an electric heating sheet and a temperature sensor are arranged at the bottom of the sewage tank. The outer layer of the sewage tank is sequentially coated with a rubber thermal insulation layer and a shell, the top of the sewage tank is respectively provided with a sewage inlet and a sewage suction port, the side surface of the sewage tank is provided with an overflow port and a water outlet, the water outlet is sequentially connected with a primary filter, a booster pump and a reverse osmosis processor, a replaceable filter element is arranged in the primary filter, and a replaceable reverse osmosis membrane is arranged in the reverse osmosis processor. According to the utility model, the sewage generated in the train toilet can be treated in time on the train and discharged up to the standard or recycled to flush the toilet, so that the daily sewage discharge operation of the train is avoided, and only clear water is required to be supplemented, chemicals are added, and the filter element and the reverse osmosis membrane are required to be replaced daily.

The invention discloses a multi-objective optimization method, medium and equipment for passenger and goods mail fusion in rural areas, and the method comprises the steps: S1, building a multi-objective optimization model of urban and rural passenger vehicle operation based on the constraint conditions of urban and rural passenger vehicle operation; s2, acquiring operation parameters of urban and rural passenger vehicles and inputting the operation parameters to the multi-objective optimization model; s3, determining and coding values of decision variables involved in the operation optimization process; s4, searching an optimal solution set by using a multi-target genetic algorithm; and S5, adjusting an urban and rural passenger vehicle operation scheme based on the optimal solution set, and departing the vehicle. The urban and rural passenger transport vehicle operation multi-objective optimization model under the passenger-goods-mail fusion is constructed, the optimal decision of the vehicle operation problem of the subject benefits of all parties is met, and the problem that the transport capacity and the transport volume of the passenger-goods-mail in the rural area are not matched and unbalanced is effectively solved.

The invention discloses an airline passenger transport fleet business index calculation method and system based on aviation data, and the method comprises the steps: obtaining the passenger transport information of an airline passenger transport fleet in a preset period, and carrying out the screening and cleaning of the passenger transport information, so as to form a passenger transport data set which can be used for analysis; constructing four-level index data of the airline passenger transportation fleet business index based on the passenger transportation data set, and determining the weight of the four-level index data by adopting a CRITIC method; performing season adjustment and standardization processing on the fourth-level index data, and performing weighted calculation according to the determined weight of the fourth-level index data to obtain third-level index data; carrying out abnormal value detection and processing on the third-level index data, and carrying out weighting calculation to obtain second-level index data; and calculating the second-level index data by adopting an entropy weight method to obtain the airline passenger transportation fleet prosperity index. According to the method and the system, the operation efficiency and the economic benefit of the airline are improved.

The invention provides a passenger ropeway operation monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining data collected by an intelligent sensor, and building a ropeway operation database; analyzing historical data to construct an anomaly diagnosis model; inputting the first data into the model to obtain an abnormality diagnosis result; controlling a camera to collect video image data, analyzing a video, and recognizing a compartment posture and passenger behaviors to obtain a video recognition result; analyzing the cableway abnormity diagnosis result and the video identification result to obtain an abnormity analysis result; constructing a three-dimensional digital model of the first passenger ropeway, and mapping the real-time operation data into the model to generate a digital twinborn model; and when an abnormal condition occurs, generating an abnormal processing scheme according to the digital twin model and an abnormal analysis result, triggering a braking system and a safety control device, and adjusting operation parameters. Through the scheme of the invention, the abnormity can be monitored and diagnosed in real time, and the safety and the operation efficiency can be improved through an automatic means.

The invention discloses an urban and rural passenger transport line network optimization system based on intelligent evaluation and scheduling, which relates to the technical field of urban and rural traffic and comprises a data acquisition module, a data processing module, a line network diagnosis module, a traffic supply and demand analysis module and a line network optimization module. The data acquisition module comprises a bus data acquisition unit, a road condition data acquisition unit and a travel data acquisition unit and is used for acquiring urban and rural bus operation data in real time; the data processing module is used for preprocessing the collected data. Technical research and development and product construction are carried out around an intelligent bus big data analysis system, Internet geographic information data and a big data analysis technology are fully utilized, the current situation of a bus network is evaluated, the bus travel demands of all county residents are actually mined and extracted, the travel demand change of people is analyzed, and the travel demand change of people is analyzed. The conditions of insufficient line coverage, unreasonable transport capacity configuration and inconvenience in resident trip are avoided, the resident trip time and cost are reduced, and convenience is provided.

The invention relates to a seat assembly (10), in particular for a vehicle for passenger transport (1), comprising at least one seat (200) and at least one carrier arm assembly (100), wherein the carrier arm assembly (100) has a wall mount (110) and a carrier arm (120), wherein the wall mount (110) has a connection element (112) for connecting the wall mount (110) to a wall (2), characterised in that the wall mount furthermore has a connector (114) which is designed for coupling to the carrier arm (120).

The invention discloses a civil aviation passenger transport income management system and method, and relates to the technical field of aviation data processing, and the system comprises an order recognition module, an order database, a checking module, a balance checking module, and an archiving module. The order identification module is used for receiving order data; marking an income influence state for the order data; performing hierarchical analysis on the order data to obtain analysis information; the order database is used for storing the order data processed by the order identification module; the checking module is used for carrying out to-be-settled money increase and decrease processing and use income confirmation or deletion on order data with influence on income management; the balance checking module is used for checking whether the to-be-settled money and the use income of the order in the closed state are balanced or not; and the archiving module is used for archiving the orders of which the order states are closed and pass the balance check. According to the invention, the problem that an airline company income management system for processing airline tickets / miscellaneous fees cannot deal with income management of unified orders at present can be solved.

A sofa for a passenger transport vehicle such as an aircraft, including a seat section, a backrest and a structure supporting them, the sofa being convertible into at least two positions each having a total usable surface area by the passenger: a sitting position where the backrest is upright with respect to the seat section, and a reclining position where the backrest is folded down in the same plane with respect to the seat section. The seat having a sufficient length to allow a passenger in the sitting position to fully extend their legs. In the sitting position, the backrest is partially stored beneath the seat section in a space of the structure, such that the total usable surface area in the sitting position is less than the total usable surface area in the reclining position.

The invention provides a peak period passenger transport organization optimization method and system based on big data, and relates to the technical field of passenger transport organization optimization. The method comprises the following steps: acquiring historical peak period passenger transport data of a target station, and performing feature extraction based on price factors to form peak period passenger transport change feature data; collecting ticket booking data of the target station in the current peak period, and performing passenger flow guide adjustment based on price factors in combination with the passenger transport change characteristic data in the peak period to form passenger flow guide adjustment data; and acquiring guide peak ticket booking data of the target station, and performing early warning analysis in combination with station transport capacity data to form peak guide early warning data. According to the method, active consumption guidance is realized through characteristic analysis based on price factors, so that the condition of transport capacity tension caused by peak hours is relieved, the efficiency is high, and the influence on the cost is relatively small.

The invention discloses a subway passenger and freight co-transport simulation method and system based on multiple agents, and belongs to the technical field of urban traffic and logistics simulation. The simulation method comprises the following steps: constructing a multi-source heterogeneous urban traffic basic database; generating a passenger agent and a cargo agent, and allocating an initial travel plan or a logistics strategy to each agent; simulating a passenger transport benchmark equilibrium state, loading a passenger agent through iteration, calculating a utility score, and re-planning a low-score agent until the passenger transport benchmark equilibrium state is converged to a user equilibrium state; constructing a passenger and freight co-transport conflict interaction and nonlinear perception model, and constructing a coupling congestion perception model and a nonlinear comfort penalty function; passenger and cargo co-evolution iterative simulation is carried out, passengers and cargo intelligent agents are loaded at the same time, multi-dimensional utility evaluation and dynamic collaborative re-planning are carried out, and a system is simulated through a double-layer coupling iterative mechanism to find a new equilibrium process; and calculating and outputting a passenger flow influence index, a logistics efficiency index and a system comprehensive benefit.

The invention provides a traffic structure optimization method and system based on a carbon emission calculation model, and belongs to the technical field of intelligent traffic management and environmental engineering. According to the method, a multi-factor and multi-target traffic structure optimization model is constructed, and an ideal point method and an NSGA-II algorithm are fused under the condition of a multi-modal scene. The model takes the minimum traffic carbon emission, the maximum passenger traffic transportation efficiency and the optimal user travel utility as three core targets, and corresponding constraint conditions are set. Through the model, accurate optimization of the traffic structure can be realized, the carbon emission of the traffic system is effectively reduced, and meanwhile, the overall efficiency of the traffic system and the user travel experience are improved.

The invention discloses a reciprocating type passenger ropeway constant deceleration control system, and relates to the technical field of brake control. According to the method, the first-stage constant deceleration braking mode and the second-stage constant torque braking mode are set, analysis is carried out through the second-stage braking conversion algorithm, the deceleration abnormal index, the speed tracking abnormal index and the response abnormal index are output, then the mode abnormal total value is obtained, the braking state is judged, self-adaptive mode switching is achieved, and the braking efficiency is improved. Constant braking deceleration is maintained, swinging of a hanging box is reduced, comfort of passengers is improved, brake rubber abrasion is reduced, meanwhile, regional debugging is not needed, and the operation difficulty of a construction site is reduced; hydraulic loop parameters are analyzed through a failure judgment logic algorithm set by the hydraulic redundancy protection module, a loop abnormal total value is output, and hydraulic loop switching is carried out based on the loop abnormal total value; and through visual display of the fault memory interaction module, the safety redundancy of the braking system is improved, fault tracing and maintenance are facilitated, and the running reliability of the cableway is guaranteed.

The invention discloses a railway passenger train brake head bush dismounting device which comprises a bolt, a brake head anti-deformation mechanism and a locking matching mechanism, the brake head anti-deformation mechanism and the locking matching mechanism are assembled on the bolt, and the brake head anti-deformation mechanism is used for being installed between two bush assembling plates of a brake head. The two lining assembling plates are respectively provided with lining assembling holes which are coaxially distributed with the bolts; the bolt comprises a screw portion and a driving portion which are integrally connected, the locking matching mechanism is in threaded connection with the screw portion, a sleeve is arranged between the driving portion and the brake head anti-deformation mechanism, a sleeve is arranged between the locking matching mechanism and the brake head anti-deformation mechanism, and the sleeves are bushings matched with the bushing assembly holes or sleeve withdrawing sleeves higher than the bushings. According to the invention, the bush assembly plate of the brake head can be effectively prevented from being extruded and deformed, so that the maintenance cost is reduced, the two bushings can be inlaid or withdrawn at the same time, and the maintenance efficiency of the brake head is improved; in addition, use and operation are easy, and the requirement for maintainers is low.