55 results about "Train driver" patented technology

A computerized train driver behavioral analysis system for the automated analysis of behavioral characteristics of drivers of railway trains based on target and keypoint detection. A train operation status and position analysis portion monitors train position, speed, and acceleration. A standardized driver practice analysis portion compares actual driver behaviors and actions to standardized driver behaviors and actions. A driver mental state analysis portion automatically detects a driver's face with a human face detection model with automated target keypoint detection to detect predetermined keypoints to produce an electronic human face box and performs a computer analysis of eye and mouth statuses and makes an automated electronic determination whether the eyes and mouth are open or closed. The system thus produces a computerized judgment regarding behavioral characteristics of drivers based on the train operation status and position analysis, standardized driver practice analysis, and driver mental state analysis portions.

The invention discloses a train driver training method, system and device, a medium and a product, and relates to the field of rail transit teaching training, and the method comprises the steps: determining an alternative training time window in a class of each first target driver according to a scheduling plan of target time in a scheduling period; screening the first target driver with the alternative training time window in the class to obtain a second target driver; and feeding back the alternate riding point corresponding to the alternative training time window in the class of the second target driver to the terminal equipment, so that the second target driver arrives at the position of the training equipment in the alternative training time window in the class of the second target driver, and training through the training equipment. All train drivers in the same team do not need to be intensively trained, the problem of intensively training the train drivers in the same team is avoided, the rest time of the train drivers is not occupied, and the enthusiasm and the training efficiency of the train drivers are improved.

The invention discloses a driver state monitoring method, system and device based on machine vision and a medium. The method comprises the steps that displacement time sequence data of a brake pedal, rotation angle time sequence data of a steering wheel and image time sequence data of a road in front of a vehicle are obtained; extracting emergency braking time sequence characteristics of a brake pedal according to the displacement time sequence data, extracting emergency steering time sequence characteristics of a steering wheel according to the turning angle time sequence data, and extracting direction time sequence characteristics of an obstacle in front of the vehicle according to the road image time sequence data; inputting the emergency braking time sequence characteristics, the emergency steering time sequence characteristics and the obstacle orientation time sequence characteristics into a pre-trained driver state recognition model to obtain a current driver state; and early warning the driver according to the current driver state. The method improves the accuracy and timeliness of driver state monitoring, also improves the driving safety, and can be applied to the technical field of vehicle monitoring.

The present invention discloses a non-contact in-transit fatigue detection method, system and electronic device for drivers, which relates to the field of fatigue state detection. The method includes: obtaining the heartbeat signal of a target driver based on an FMCW millimeter-wave radar; obtaining physiological characteristics by applying heart rate variability analysis according to the heartbeat signal; obtaining the pressing frequency of the target driver pressing the vigilance button; respectively normalizing the time-domain index IBI interval, the time-domain index RMSSD, the time-domain index SDNN and the pressing frequency; applying a preset weight to calculate the comprehensive characteristics of the normalized time-domain index IBI interval, the time-domain index RMSSD, the time-domain index SDNN and the pressing frequency; and obtaining the fatigue state prediction result of the target driver by applying a logistic regression method according to the comprehensive characteristics. The present invention can effectively detect the fatigue state of train drivers in a non-contact manner.

The utility model discloses a kind of relay strong suction tool, including fixed plate, mobile plate being set on the fixed plate and moving on fixed plate, the lower end of the fixed plate is equipped with pressure head, the shell cooperation of relay is equipped with on the one side of the fixed plate, the shell cooperation of relay is equipped with positioning mechanism on the both sides of mobile plate.Working, fixed plate is placed in the recess of relay, pressure head is contacted with the manual operation button in recess, and manual operation button is pressed down, mobile plate one end is deeply into the clearance of the lower end of the shell of the recess one end on relay, and fixed plate both ends are positioned by positioning mechanism, to ensure the pressing of manual operation button, make the armature action of relay, let contactor attract. It is convenient for train driver to carry, to carry out operation quickly and accurately, avoid artificial operation relay contactor to carry out strong suction operation to relay, improve work efficiency while ensuring safety.

The application discloses a long-distance rail recognition and obstacle detection method and system, a long-focus optical system is combined with a super-high-speed industrial camera on a hardware level to build a high-frame-rate and long-distance optical detection system, a region of interest for obstacle detection is demarcated by recognizing and visually segmenting left and right rail lines on a software level, and a target detection-based track obstacle intrusion detection algorithm and other advanced visual tasks are executed, and finally high-frame-rate recognition and detection of long-distance rails and track obstacles are realized. The Schmidt-Cassegrain optical system with a focal length of 2000mm is combined with a super-high-speed industrial camera with a resolution of 1920*1080 and 3000 frames per second to build a long-distance high-frame-rate optical detection platform and erect on a driving position of a train, railway conditions within a range of 6km are detected in real time, and serious accidents caused by a too long braking distance of the train due to high-speed driving can be prevented. Compared with traditional train driver eye observation and laser radar scanning imaging modes, a long-distance optical observation platform and a rear-end real-time detection system can realize a longer detection distance, better detection and recognition robustness and a higher frame rate.

This invention discloses a method, system, and medium for constructing a facial fatigue dataset suitable for train drivers, relating to the field of data processing. The method includes acquiring multi-dimensional data of a subject performing an AX-CPT psychological paradigm task, including the subject's facial data, heart rate data, reaction time of the AX-CPT task, and accuracy of the AX-CPT task. The subject's fatigue state is labeled using the heart rate data, reaction time, and accuracy of the AX-CPT task. A facial fatigue dataset is constructed based on the labeled facial data and corresponding fatigue state labels. By performing the AX-CPT psychological paradigm task, an accurate facial fatigue dataset suitable for the working characteristics of train drivers can be obtained, thus laying the foundation for accurate detection of fatigue states in actual working scenarios for train drivers.

To provide new technology to protect train drivers during collisions. [Solution] The driver's seat 10 of the railway vehicle is equipped with a turning mechanism (e.g., a rotating support mechanism 30) that can change the orientation of the front of the seat from a normal state to an emergency state which is the opposite direction to the normal state, and a deployment part (e.g., a lateral extension frame 27, a coil spring 28, a lateral extension stopper 70) that holds an auxiliary device (e.g., a footrest 80) for reducing injury to the driver 2 in the event of a collision in an unnecessary state in the normal state and deploys in conjunction with the turning mechanism to change to the emergency state.

The utility model relates to the technical field of subways, and discloses a subway platform gap safety confirmation auxiliary device which comprises a base, the top of the base is connected with a supporting seat in a sliding mode, the top of the supporting seat is fixedly connected with a metal frame, and the interior of the metal frame is connected with a platform door in a sliding mode. An operation control box is fixedly connected to one side of the outer portion of the metal frame, a nixie tube display screen is fixedly connected to the upper portion of the outer portion of the operation control box, a control assembly is arranged at the position, close to the middle, of the outer portion of the operation control box, and an acousto-optic buzzer is fixedly connected to the position, close to the lower portion, of the outer portion of the operation control box. According to the utility model, the safety confirmation function and the alarm prompt function of the gap between the train door and the platform door can be realized, the confirmation capability of a train driver on the gap between the train door and the platform door is enhanced, the operation of the driver is more effectively supervised and reminded, and the safety and the reliability of the door opening and closing operation are ensured.

This invention discloses a testing system for a rail transit train driver control unit, relating to the field of controller testing, aiming to solve the problems of incomplete functional coverage, low accuracy, and low efficiency in existing systems. The system includes logic interaction, interaction index, type parsing, fault parsing, and level analysis modules, and can also include virtual parsing and level correction modules. The logic interaction module handles command response and feedback reception; the interaction index module retrieves commands through a comprehensive index; the type parsing module identifies the driver control unit type; the fault parsing module diagnoses faults; and the level analysis module detects level deviations. The virtual parsing module simulates test scenarios, and the level correction module optimizes driver control unit damping. The system comprehensively covers key indicators such as contact resistance, logic, and level voltage, improving testing accuracy and efficiency to meet the testing needs of modern rail transit.

1. Name of the designed product: seat (train driver). 2. Use of the designed product: for train driver to sit. 3. Design points of the designed product: in shape. 4. Picture or photo that best shows the design points: perspective view.

The integral ring-shaped frame integrated forming tooling for the cab of high-speed trains and its forming method belong to the field of manufacturing integral ring-shaped frames for the cabs of rail vehicles. The tooling includes multiple groups of limiting mechanisms, rolling mechanisms and stretch bending jigs. The limiting mechanism includes a connecting seat at the end of the mold base, an L-shaped support arm, a screw pressing mechanism, a pressing base plate, a profiling pressing block and four profiling pressing block connecting bolts; the connecting seat at the end of the mold base includes a connecting seat, a hinge shaft seat and a state locking pin, and the screw pressing mechanism includes a screw rod and a screw rod driving handle vertically fixed to its end. The present invention can effectively solve the defects existing in the traditional bending forming process, such as high profile cross-section, large deformation resistance, and easy inability to completely fit the mold profile surface after stretch bending; the tooling structure is simple, the forming method is efficient, easy to use, with excellent forming quality, can greatly improve the forming accuracy, reduce the difficulty and workload of subsequent dimensional adjustment, thus significantly improving the yield rate of one-time forming, and further saving production costs.

The invention discloses a driver seat self-adaptive adjusting method, system and device based on machine vision and a medium, and the method comprises the steps: when a vehicle is started and a brake pedal is stepped down, obtaining stress distribution time sequence data and displacement time sequence data of the brake pedal and facial expression time sequence data of a driver; inputting the stress distribution time sequence data, the displacement time sequence data and the facial expression time sequence data into a pre-trained driver seat posture deviation recognition model to obtain a target driver seat posture deviation; and according to the target driver seat posture deviation, posture adjustment is conducted on the driver seat of the vehicle. The deviation between the current posture and the optimal posture of the driver seat can be automatically recognized according to the stress distribution and displacement of the brake pedal and the facial expression of the user when the user starts the vehicle, so that the posture of the driver seat is automatically adjusted, manual operation of the user is not needed, the user can go out quickly, the driving experience of the user is improved, and the user experience is improved. The method can be applied to the technical field of vehicle control.

1. The name of this design product: Intelligent driver's console. 2. Purpose of this design product: used as a train driver's console. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1. 5. The right view is symmetrical to the left view, so the right view is omitted; the back of the product of this design is a part that is not easy to see or cannot be seen when in use, so the back view is omitted.

The application relates to a driver driving state judgment analysis method and a judgment device, and belongs to the technical field of train driver driving state judgment. Through orderly cooperation between various devices, the action frequency detection device is set as a normally open device, the starting cost of which is extremely low, and the operation cost of traditional video image recognition is greatly reduced. Moreover, the action frequency detection device is used as the first-stage detection judgment, the seat stress detection device is used as the second-stage detection judgment, the face information recognition device is used as the third-stage detection judgment, and the eye opening degree recognition device is used as the fourth-stage detection judgment. Through the four-stage detection judgment, the judgment accuracy of driver fatigue driving can be further improved. Moreover, the various devices are cooperatively and orderly operated, are not all normally open, and cannot cause the devices to collect too much invalid data.

1. The name of the design product: vehicle-ground interconnection wireless communication system signal repeater. 2. The use of the design product: used in the vehicle-ground interconnection wireless communication system, the relay and amplification of the wireless signal sent by the subway platform personnel to the train driver. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This application discloses a method, device, medium, and product for train driver speech recognition, relating to the fields of deep learning and speech recognition technology. The method includes acquiring the train driver's speech information; performing denoising, preprocessing, and fast Fourier transform on the speech information to obtain first spectral features; inputting the first spectral features into a proprietary vocabulary recognition model to obtain a proprietary vocabulary recognition result; inputting the first spectral features into a general vocabulary recognition model to obtain a general vocabulary recognition result; and fusing the proprietary and general vocabulary recognition results to obtain the train driver's speech recognition result. By fusing the recognition results of the proprietary and general vocabulary recognition models, the train driver's speech recognition result is obtained. This fusion process effectively compensates for the limitations of the general model in railway field recognition, thereby improving the accuracy of train driver speech recognition.

The invention relates to the technical field of tourism management, in particular to a rail type aged sightseeing tourism management method and system. Firstly, high-angle images in a carriage are collected in real time through a camera to obtain a high-angle image sequence arranged according to the sequence of shooting moments, and the high-angle image sequence is sent to a server; the server also obtains the foot pressure values of the users collected by the pressure sensors in real time, and performs image recognition on the high-angle images to determine the head contour area values of the users in different high-angle images; the change of the head contour area value can reflect the actual body posture change condition of the user in the carriage, and the pressure borne by the feet when the user sits down is smaller than the pressure borne by the feet when the user stands, so that the server can judge whether the user is in a getting-up state currently based on the head contour area value, the foot pressure value and the high-angle image; when the user is in the getting-up state, reminding information is generated to remind a train driver to stop accelerating or decelerating.

The invention discloses a train driver attention degeneration multi-scale prediction system based on electroencephalogram signals, and relates to the technical field of intelligent driving safety monitoring, during system operation, a deep learning model LiteFormer-BR based on original multichannel electroencephalogram signals is included, the model adopts a light CNN-Transform backbone network to extract spatial-temporal characteristics, and the spatial-temporal characteristics are extracted through a deep learning model LiteFormer-BR based on the original multichannel electroencephalogram signals; and receiving a fixed-length feature vector output by the lightweight mixed CNN-Transformer backbone network, predicting continuous attention scores corresponding to K preset key time points in the future at the same time through the probability regression prediction head based on Beta distribution, and outputting a multi-scale attention prediction result. Therefore, multi-time-scale prediction of the attention degeneration state of the train driver is realized. According to the application, prospective and multi-scale early warning from a second level to a minute level (0s to 30min) can be realized, so that the system credibility and the engineering practicability are improved.

The present invention relates to the technical field of event detection and behavior norm supervision, and discloses a monitoring method and device for the operation standardization of rail transit drivers based on an improved ST-GCN model. The method includes: determining a variety of key standard operations involved in the start and stop processes of urban rail transit train drivers, and pre-calibrating the key joint points corresponding to each key standard operation; collecting video data of the driver performing the various key standard operations in the vehicle and external environments, and evaluating and annotating the compliance of the driver's operation behavior in the video data; constructing an ST-GCN model based on a dynamic topology and domain prior fusion layer, and training the model using the evaluated and annotated video data; and using the trained ST-GCN model based on dynamic topology and domain prior fusion to monitor the driver's operation in real time and output a prediction result. The device and method can improve the real-time performance and accuracy of supervision and ensure the safe operation of rail transit.

The utility model discloses a ceiling lamp of a train cab, and belongs to the technical field of train illuminating lamps. A train cab ceiling lamp comprises a lamp box and a lamp strip arranged in the lamp box, a connecting cylinder is fixedly connected to the inner wall of the lamp box, a lampshade is fixedly connected to the bottom of the connecting cylinder, and a plurality of fixing assemblies used for fixing the lamp box are distributed in an interlayer formed by the lamp box and the connecting cylinder in an array mode. The surface of the lamp box is provided with a plurality of entrances and exits for the fixing parts to enter and exit from the lamp box. The fixing assembly comprises the fixing parts and guide rods for the fixing parts to slide up and down. Through the arrangement of the fixing assembly, the guide rod rotates to drive the fixing piece to rotate towards the outside of the lamp box, under the cooperation of the ejector block, the fixing piece is pressed downwards, and under the cooperation of the step shape of the lamp box, the lighting lamp can be conveniently clamped on the train ceiling, and the purpose of firm fixation is achieved while installation and disassembly are convenient.

1. Name of this design: Train simulator cabin (Type D). 2. Purpose of this design: For the training of train drivers. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The system (100) comprises a plurality of pass- through points (300), geo-fence creator (210), a plurality of user devices (102) / geo-devices (104), centralized controller devices (106) associated with a plurality of users in one-to-one correspondence, brake interface mechanism (400), geo- devices blackbox (500) and a server (200). The server (200) generates a machine- readable code based on the registration details of user devices (102) and generates OTP for every time system is accessed by train driver / guard. Server (200) creates train signal, post verification of real-time presence of a user device (102) of train driver / guard / lineman on assigned train / rail track / pass through point (300) which are geofenced as per train management rules. The server (200) generates stop zone / no stop zone by geofencing the stretch of rail track as per requests received from user device (102). The server (200) issues alert to user device (102) of driver / guard about their train movement on wrong track (wrong geofence) with instructions to stop or stop & reverse and informing lineman to change / correct rail track direction. The server (200) takes over control of brake interface mechanism (400) in case train driver / guard has not followed the instructions received from server (200) and their user devices (102) are not found on desired geofenced track / pass through point (300) and force stop the train through brake system of the train. In case of an accident of a train, geo-devices housed in geo-device blackbox (500) installed in various coaches / engine / guard room etc. generates damage message based in impact on geo-device blackbox (500) to plan rescue operations and generate new train schedule through train scheduling generator (208) for review and release implementation of the same by centralized controller as per revised priorities of train schedule management and rescue operations.

The invention provides a train driver behavior state detection method and system based on a neural network model, and the method specifically comprises the steps: S1, collecting a driver image sequence, an operation sequence, a train operation sequence, signal display information and line attributes, and forming a behavior sequence, an operation sequence and an environment sequence; s2, constructing a graph structure of a driver, a train, a signal, a line and an equipment node, and setting a control, sensing, power and feedback relation edge; s3, a graph neural differential equation is constructed, node states are generated by short-time action branches and long-time trend branches, events trigger continuous time advance, and edge weights are adjusted along with working conditions; s4, forming a self-adaptive Koopman operator by using the basic Koopman operator group and the weight of the risk factor; s5, generating a driver state trend, a train state trend and a danger trend score in linear extrapolation; and S6, outputting the driver behavior level, the operation risk level and the joint risk index. According to the method, the reliability of risk prediction is improved through combined modeling of driver behaviors, train operation and environment constraints.

The utility model provides a protective warning vertical board for a small-area skylight. The protective warning vertical board for the small-area skylight comprises a fixing piece, a supporting assembly and a fixing assembly, the top of the fixing piece is fixedly connected with a warning board, the supporting assembly comprises outer supports, the outer supports are hinged to the bottom of the fixing piece, and the four sets of outer supports are distributed in the circumferential direction of the fixing piece; inner supports are slidably connected into the outer support, the two fixing assemblies comprise limiting pieces, the two limiting pieces are hinged to the bottoms of the inner supports on the left side and the right side correspondingly, and fixing clamping blocks are fixedly connected to the surfaces of one side walls of the limiting pieces. The protective warning vertical board for the small-area skylight has the advantages that workers and train drivers can be conveniently warned, and the protective warning vertical board can be conveniently and stably installed on a railway steel rail.

The utility model discloses a train tail air pipe air pressure monitoring system, including the train tail air pipe air pressure measuring device and train driver's room monitoring device of mutual connection, train tail air pipe air pressure measuring device mainly comprises CPU module and the LoRa module, 4G LTE module, big dipper and GPS module, diffusion silicon fluid pressure sensor, walkie -talkie module, NFC near field communication module, big dipper short message module, power module that it connects, train driver's room monitoring device mainly comprises CPU module and the LoRa module, 4G LTE module, big dipper and GPS module, display, walkie -talkie module, NFC near field communication module, big dipper short message module, power module that it connects. Compared with prior art, the utility model has the characteristics of reasonable in design, reliable in performance, excellent in effect, and the communication reliability optimization, data synchronization and check ability promotion, hardware and system stability improvement, security and maintenance efficiency upgrading.

The present invention relates to a railway vehicle signal transmission system using a PWM encoder, in which an analog signal generated from a master controller is converted into a PWM signal and transmitted to a vehicle control device and a monitoring system, so that a driver's master controller operation signal can be accurately transmitted, and in a case of occurrence of an abnormal signal, a signal failure, or the like, rapid recognition and response are possible. The railway vehicle signal transmission system comprises: the master controller which is installed in a cab of a railway vehicle, and outputs a corresponding analog command signal when a train driver operates a running controller and a reverser; the PWM encoder which receives the analog command signal, converts the received analog command signal into a PWM signal, and transmits the PWM signal to a subsequent stage; and the vehicle control device which receives the PWM signal from the PWM encoder and controls propulsion or braking of the vehicle.

The invention discloses a test system for heavy haul train group operation simulation. The test system comprises a data center laboratory, a ground control laboratory, a vehicle-mounted control laboratory and a central coordination center, the data center laboratory, the ground control laboratory and the vehicle-mounted control laboratory are in network connection through the central coordination center; the data center laboratory is used for collecting real-time data of the train and the surrounding environment; the ground control laboratory is used for simulating ground scheduling and control; the vehicle-mounted control laboratory is used for simulating train operation and verifying response of a vehicle-mounted system to a ground instruction and cooperation between trains; and receiving real-time data of the train and the surrounding environment from the data center laboratory and a ground instruction from the ground control laboratory to realize dynamic simulation of the train. The system can support scientific research, development and testing of new vehicle-mounted products and new equipment, and can also be used for training group train drivers and passengers.

1. Name of the product in this design: Integrated scheduling graphical user interface for electronic devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 main view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: Used in dispatch communication systems to display communication and operation information with train drivers and station users. 7. The area of ​​the graphical user interface in the product: within the screen of the electronic device. 8. Human-computer interaction methods in graphical user interfaces: touch and click. 9. Description of the changing states of the graphical user interface: Design 1's main view is the dispatch console station interface displaying station information; clicking the locomotive interface button in the main view of Design 1 jumps to the changing state diagram 1 of Design 1, displaying the dispatch console locomotive interface, where registered locomotive user information can be viewed; clicking the dial button in the changing state diagram 1 of Design 1 jumps to the changing state diagram 2 of Design 1, displaying the dial pad interface; Design 2's main view is the dispatch console station interface displaying station information; when the dispatch console is communicating with a locomotive at station number one, the main view of Design 2 changes to the interface of the changing state diagram of Design 2, showing the user's key presses and the assigned station turning green during the call; Design 3's main view is the duty console station interface displaying duty console information; clicking the locomotive interface button in the main view of Design 3 jumps to the changing state diagram of Design 3, displaying the duty console locomotive interface, where registered locomotive users within the current station, the upstream station, and the downstream station can be viewed. Information; Design 4 main view is the station interface of the duty station displaying duty station information; when the duty station communicates with the dispatcher, the design 4 main view changes to the interface of the design 4 change state diagram, showing that the direct call key turns green during the call; Design 5 main view is the station interface of the duty station displaying duty station information; when locomotive users in the station communicate with the dispatcher or other station duty stations, the design 5 main view changes to the interface of the design 5 change state diagram, showing the occupancy status of locomotive users in this station; Design 6 main view is the station interface of the duty station displaying duty station information; when the station duty officer communicates with locomotive users in this station, the design 6 main view changes to the interface of the design 6 change state diagram, showing that the user key turns green; Design 7 main view is the station interface of the duty station displaying duty station information; clicking the dial key in the design 7 main view jumps to the design 7 change state diagram, displaying the dial pad interface. 10. Other situations requiring explanation: The product carriers of Designs 1 to 7 are conventional designs, and the rear view, left view, right view, top view, and bottom view of Designs 1 to 7 are omitted.

To provide a technique for estimating an effect of measures against sleepiness for a railroad driver.SOLUTION: A machine learning model 1 is generated on the basis of training data having, as explanatory variables, 1) whether or not to perform the pointing call, 2) whether or not to repeat from the system, 3) whether or not to pay attention to a matter noticed during driving, and 4) an elapsed time, and 5) whether or not the train is stopped at a station, regarding driving of a railroad driver. Further, the drowsiness index value is estimated by inputting each explanatory variable to the generated machine learning model 1.SELECTED DRAWING: Figure 1