890 results about "Signaling system" patented technology

The invention provides a train degradation operation control method and system based on active perception, and the method comprises the steps: obtaining a high-safety visual distance and signal machine information through an intelligent perception system after a train enters an ABL mode; a speed curve is calculated based on the train operation condition, the signal machine information and the high-safety visual distance, and the train is controlled; wherein the intelligent sensing system is composed of vehicle-mounted equipment and trackside equipment; the vehicle-mounted equipment comprises a sensing host, a radar sensor and a camera; the trackside equipment comprises a coding signboard; the camera is used for collecting image data; the radar sensor is used for detecting point cloud data; and the sensing host is used for determining a high-safety visual distance and signal machine information according to the image data and the point cloud data. According to the method, in the transformation process of the urban rail transit signal system, when the signal equipment beside the rail does not meet the transformation condition, the train degradation operation control can be carried out.

The invention discloses a multi-intersection signal cooperative control method based on deep reinforcement learning, and the method comprises the steps: firstly constructing a comprehensive reward function which comprises waiting time, queuing length and the influence of adjacent intersections, and constructing a mathematical model of a multi-intersection signal control system based on the reward function, so as to achieve the maximization of a comprehensive reward; and secondly, designing a deep Q network cooperative control algorithm for explicit strategy adjustment, and optimizing and adjusting adjustable strategy function parameters by introducing an explicit strategy adjustment function and utilizing a stochastic gradient descent method. And finally, dynamically adjusting the signal control strategy of each intersection in the road network in a complex and changeable traffic environment by designing a parameter sharing mechanism, thereby realizing collaborative optimization control of multiple intersections. According to the invention, the cooperative control efficiency of a multi-intersection signal system is obviously improved, traffic delay is reduced, and the traffic capacity of a road network is improved.

The invention discloses an automatic driving vehicle key signal testing method and system based on real data driving. According to the method, data are collected in a real road scene, test cases are automatically generated, a standard test case library is constructed, hierarchical or parallel testing is carried out in virtual simulation, hardware-in-the-loop and real vehicle environments, and result feedback and closed-loop iteration are achieved through automatic analysis. The system comprises a data collection module, a test case generation module, a standard test case library module, a test execution module and a result feedback module. According to the invention, the problems of insufficient scene coverage and low authenticity and efficiency of the existing test method are solved, the comprehensiveness, authenticity and test efficiency of the test scene are improved, and the safety and reliability of the key signal system of the automatic driving vehicle are guaranteed.

The present invention relates to an integrated train dispatching system and method for regional rail transit, and a medium. The system comprises: a network-wide operation diagram editing and display module, configured to construct and display a regional rail transit network-level operation diagram; a center / station functional module, configured to, on the basis of center / station mode configuration information, activate a corresponding functional module, and implement center dispatching or station dispatching; a line hybrid dispatching functional module, configured to, on the basis of line automation level configuration information, activate a functional module corresponding to the current automation level, and implement hybrid dispatching management of lines having different automation levels; and a full-function scenario dynamic dispatching module, configured to perform full-lifecycle dynamic dispatching of trains on the basis of different signal system conditions, the signal systems comprising CTCS2 + ATO + ATB, cross-line operation CBTC, and CBTC and CTCS2 + ATO + ATB cross-line operation. Compared with the prior art, the present invention has the characteristics of full-scenario coverage, high compatibility, a high degree of automation, and wide practicability.

The invention relates to a train interlocking control method and system based on distributed interlocking control, and belongs to the technical field of urban rail transit signal systems.The train interlocking control method comprises the steps that the real-time position and dispatching demand data of a train are received; determining the next target position of the train according to the scheduling demand data, and generating a corresponding scheduling command; the dispatching command is analyzed and verified according to the current track state data, the signal machine state data and the turnout position data, confirmation feedback information or correction feedback information is generated to confirm or correct the dispatching command, a final dispatching command is obtained, and a signal machine state adjusting command and a turnout position adjusting command are generated; according to the execution feedback result and the circuit state monitoring data, the execution condition of the final dispatching command is analyzed, and normal driving confirmation information or dispatching execution abnormal information is fed back to the train control center. According to the invention, distributed interlocking control can be realized, and the safety and efficiency of train operation are greatly improved.

The invention provides a train section protection method and system capable of autonomously sensing a backup operation level, and the method comprises the steps: receiving danger source information and signal machine state information transmitted by ground equipment under the condition that the operation level of a train is an ABL level; calculating a first perception MA of the train according to the signal machine state information and the ABL level generation factor; according to the type of the signal machine corresponding to the open near road of the train and the first sensing MA, sensing MA fusion of different train routes is carried out, and a second sensing MA is obtained; extending the second perception MA according to different accurate parking scenes to obtain a third perception MA; updating the third sensing MA according to the validity of the hazard source information to obtain a fourth sensing MA; and controlling the train to perform target obstacle protection in the operation interval according to the fourth sensing MA. According to the method, automation, intelligence and reliability of a train signal system are improved, and then the efficiency and safety of interval protection of the train are improved.

The embodiment of the invention provides an urban rail signal system fault diagnosis method based on a knowledge graph and a large model, and the method comprises the steps: collecting system operation logs, state parameters and fault information in real time, and carrying out the data preprocessing and standardization; based on historical fault data, a fault classification and prediction model is constructed through feature extraction and mode recognition, and automatic fault recognition and risk early warning are achieved; constructing a fault diagnosis knowledge graph, and establishing an association relationship among entities such as equipment, faults, reasons, maintenance schemes and the like; a pre-training large language model and a LoRA technology are adopted for efficient fine tuning, a fault diagnosis reasoning model is trained, and end-to-end generation from fault description to diagnosis and maintenance suggestions is achieved; the knowledge graph and large model output are fused, real-time and historical data are combined, multi-path fault analysis and comprehensive diagnosis are carried out, and a diagnosis report is generated and displayed. The intelligent level, accuracy and efficiency of fault diagnosis can be improved, and technical support is provided for intelligent operation and maintenance management.

The invention provides a fault processing method and system for voice dial testing, and belongs to the technical field of communication network operation and maintenance, and the method comprises the steps: receiving a fault request from a signaling system; performing fault type identification on the fault requests in a preset cache period, and merging and compressing the fault requests of the same fault type; determining a first fault request in the merge set, and executing a routing tracking operation on a destination IP on a main / standby data communication equipment switch corresponding to a source IP of the first fault request to obtain current network state information; according to the current network state information and the historical network state information, whether routing abnormity and time delay abnormity exist or not is judged; determining a fault type according to a comparison result, and generating real-time alarm information; and in a preset time period, sending the real-time alarm information to a manager terminal. According to the invention, on the basis of real-time routing tracking, historical alarm comparison and time delay anomaly detection, large-scale fault requests can be quickly and accurately processed in a short time.

The invention discloses a railway LEU-transponder transmission system lightning stroke fault risk assessment method, and the method comprises the steps: determining a lightning current invasion path through building a lightning stroke transient electromagnetic disturbance calculation model of an electromagnetic sensitive equipment port, and calculating the voltage and current at the port when incoming waves invade. And building an electromagnetic sensitivity test experiment platform of the railway signal system based on the lightning current invasion path and the voltage and current at the port. And performing label category prediction on the to-be-predicted sample point through each support vector machine model in the target model set, and voting each prediction result. According to the invention, a complex transmission relation between lightning transient electromagnetic disturbance and equipment failure risk is established through deep learning. The fault risk of the signal system under the lightning transient electromagnetic disturbance action is predicted through transient electromagnetic effect experimental data of real equipment of the railway signal system, and powerful support is provided for improving the electromagnetic sensitivity of the signal system and guaranteeing stable operation of a railway.

A door module for use with a door system, and applications thereof, are disclosed. The door module comprises a door frame and a door articulated to the door frame, a touchless door module comprising a door motor assembly, a door locking assembly, a control assembly and a power source. The door motor assembly can be configured for displacing the door between an open position and a closed position, responsive to a door opening signal or a door closing signal, respectively, emitted from the control assembly. The locking assembly can be configured for displacing a locking bolt between a locked position at which it is engageable with a locking strike, responsive to a locking signal emitted from the control assembly, and an unlocked position, responsive to an unlocking signal emitted from the control assembly. The control assembly comprises in some embodiments at least one touchless inside sensor, wherein an entrance signal includes a signal received form the at least one inside touchless sensor, resulting in generating a door closing signal and an occupied signal, and an exit signal received by the at least one inside sensor resulting in generating a door opening signal. The control assembly may further comprise a signaling system configured for emitting noticeable door mode indicia responsive to door parameters.

A system for warning drivers of the movements semi-tractor and trailer vehicles of the semi-tractor's intended course, and warning drivers of other vehicles around the semi-tractor of the course and intended movement of the semi-tractor. An example includes a closed circuit video display system including cameras mounted at the front corners of the semi-tractor, cameras mounted at the rear of the trailer, and cameras mounted from a central area of the semi-tractor trailer. The system also uses a written message display system having display modules that display messages to vehicles near the semi-tractor. The displays can be used to present various pre-programmed messages or messages created by the driver of the semi-tractor through a message input interface, allowing the driver of the semi-tractor to provide customized massages to other nearby drivers.

A visual signaling system includes smart signage with a set of three or more lights visible from a single direction. Activation of the lights in a first pattern indicates a hazard and for individuals to move away from the sign. Activation of the lights in a second pattern indicates safety and for individuals to move toward the sign. Activation of the lights in a third pattern indicates a need for caution and for individuals to refrain from approaching the sign. The visual signaling system may include a plurality of smart signs which display different patterns on different signs depending on the location of each sign relative to the hazard, thereby guiding individuals away from the hazard.

The invention discloses a simulation method of a full-system coupled railway traction power supply system, which comprises the following steps: taking a traction power supply system and a train group as integrated simulation objects, and respectively constructing traction power supply network models including equivalent models of traction transformer, traction network, AT station and public power grid parameters; a multi-train operation simulator is constructed, and the multi-train operation simulator comprises various parameters such as trains, lines, signal systems, operation organizations and the like. Traversing all on-line trains through a multi-train operation simulator, substituting the on-line trains into a traction power supply network model, and dynamically calculating operation parameters and traction loads of a train group, including calculating locomotive initial current according to train initialization voltage, solving a traction power supply network node voltage equation and updating locomotive terminal voltage; and correcting the traction and braking characteristics of the train based on the updated locomotive terminal voltage. The method overcomes the defects of a traditional calculation method using a traction power supply system as an isolated network, reveals the dynamic state of train operation and the distribution characteristics of the traction network, and finally can obtain various parameters of each train.

Systems and methods for wireless communications are disclosed herein. In one embodiment, a wireless communication device determines that transmission of uplink control information (UCI) on at least a portion of a first uplink resource is canceled. In response to determining that the transmission of the UCI on the first resource is canceled, the wireless communication device determines a second uplink resource for transmitting the UCI. The wireless communication device transmits the UCI on the second uplink resource.

The invention discloses an intelligent rail transit signal system and an automatic scheduling method, and relates to the technical field of rail transit, and the method comprises the steps of data acquisition, machine learning modeling, scheduling optimization algorithm based on machine learning, scheduling strategy generation, real-time signal control, automatic scheduling decision, and system monitoring and optimization. By adding the physical constraint to guide the generation process, the problem that the rail transit data generation sample does not conform to the actual physical law is solved; the problems of insufficient data generation diversity, generation mode collapse and the like are solved through methods of dynamic memory mechanism optimization generator training and the like. The problems of high-dimensional redundancy, nonlinear structural features, poor model generalization ability and the like of rail transit data are solved by using a negentropy excitation function.

The invention discloses an urban rail transit management system based on multi-source data fusion, and the system is characterized in that a data collection module is connected with a data preprocessing module, and is used for collecting multi-source data of a power supply system, a vehicle system and a rail signal system; the data preprocessing module is connected with the data fusion center and is used for denoising, filtering and normalizing the received original data; the data fusion center is connected with the data acquisition module, the data preprocessing module and the decision analysis module and is used for realizing fusion of multi-source data; the decision analysis module is connected with the data fusion center and the control execution module and is used for performing fault prediction and emergency processing decision; the control execution module is connected with the decision analysis module and an external execution mechanism and used for controlling the execution mechanism to guarantee operation of the rail transit system according to instructions of the decision analysis module. According to the invention, operation efficiency and resource configuration can be improved, risks are reduced, shutdown time is reduced, safety and experience are guaranteed, maintenance and operation costs are reduced, and benefits are improved.

The invention provides a platform door system gap detection device control method, which specifically comprises the steps that a signal system sends a door closing command to a platform door system and then keeps a command output state, the platform door system controls a sliding door to be closed after receiving the signal door closing command, and the state is fed back to a gap detection device after the sliding door is closed and locked; the gap detection device starts gap detection when receiving that the sliding door is in a closed and locked state, and feeds back the closed and locked state of the platform door system to the signal system when the gap detection is not abnormal; after the vehicle door is normally closed and locked, the vehicle door is fully closed, and the locking state is fed back to the signal system; the signal judges that the train door and the platform door are closed and the door closing command is canceled when being locked, the gap detection device cancels detection after detecting that the signal door closing command disappears, and the signal system controls the train to leave the station after confirming that no obstacle is retained in the gap detection device. According to the method, gap detection is matched with train operation, and the safety of train operation is improved.

Systems and devices for signal arbitration are described. A first asynchronous circuit can receive and sanitize a first non-persistent signal representing a first request to generate a first persistent signal. A second asynchronous circuit can receive and sanitize a second non-persistent signal representing a second request to generate a second persistent signal. A mutual exclusive circuit can arbitrate between the first persistent signal and the second persistent signal and output a grant signal to issue a grant. A control circuit can control an operation mode of the first and second asynchronous circuits based on a control signal, a first grant signal indicating a grant status of the first request, a second grant signal indicating a grant status of the second request, the first persistent signal and the second persistent signal.

The invention relates to the technical field of rail transit automatic driving, and particularly discloses a rail transit train automatic driving control method, which is characterized in that a vehicle-mounted control center cooperates with a signal system, a traction unit and a braking system, and centimeter-level real-time positioning is realized by adopting extended Kalman filtering and fusing satellite positioning, an odometer and trackside beacon data; the parking precision of the platform is controlled based on a graded braking strategy (coasting-common-precise braking) and pulse type terminal point fine adjustment; the method dynamically adapts to line condition changes in combination with feedforward-feedback composite speed control, and establishes a multi-level safety monitoring network (obstacle detection / overspeed protection / vehicle door linkage) to realize full-process closed-loop control, and finally, high-precision, high-safety and high-coordination operation under unmanned driving is achieved.

The invention discloses a model library-based spaceflight radio frequency signal quality multi-domain evaluation and compensation method, and belongs to the technical field of wireless communication. The implementation method comprises the steps of determining signal system parameters based on various CCSDS standards and a spaceflight protocol system, extracting related parameters of spaceflight standards in a time-frequency domain, generating standard time-frequency domain radio frequency signals, converting the standard time-frequency domain radio frequency signals into a related domain, a modulation domain, an energy domain and a polarization domain, and establishing spaceflight radio frequency signal sub-model libraries of the domains; obtaining a time-frequency domain measured signal through a receiver, integrating time domain information and frequency domain information, and constructing a time-frequency domain sub-evaluation model; constructing a multi-domain comprehensive evaluation model by adopting a parallel data transmission mode and a weight data processing method; calculating the weight of the evaluation result of each domain through an entropy weight method, and obtaining a comprehensive quality evaluation result of the spacecraft radio frequency signal; and based on the distortion coefficient, a robust signal equalization algorithm is adopted to process the signal, the influence of the distortion effect on the signal quality is compensated, and the robustness and the anti-interference capability of signal transmission are improved.

The invention relates to a constant envelope modulation method based on the combination of Interplex and CSK. The method comprises the following steps: generating at least one group of CSK authentication signals according to an authentication information rate and an authentication time interval; calculating a modulation coefficient according to the attenuation degree of the signal carrier-to-noise ratio; generating a transmission signal according to a preset signal system; taking each group of authentication signals as an input signal and modulating the input signal and the transmission signal on the same carrier through Interplex phase modulation; and calculating the modulation coefficient when the authentication signal is located at the frame header position of the carrier signal, and setting the modulation coefficients of other carrier signals to be 0. Through the technical scheme of the invention, the generation rate of the authentication signal is further improved, the influence on the original signal can be reduced by performing authentication at the frame header position, and the error rate of authentication is further reduced.

The invention provides an unattended control method and system protected by a signal system in a full-automatic mode. Comprising automatic coupling; the coupling is stopped; automatic de-coding is carried out; and stopping decoding. According to the method, coupling and decompilation operation sites are confirmed by identifying map section types and safety conditions, a signal system carries out pre-testing according to the condition meeting condition, and layer-by-layer check is realized with the assistance of monitoring measures, so that the safety and reliability of operation are ensured; the preciseness, safety and flexibility of the operation process are improved and the operation efficiency is improved through pre-testing and operation stopping, the operation cost is effectively reduced, the safety guarantee is improved, and the defect that coupling and de-compiling of flexibly-grouped trains only depend on manual protection is overcome; the system is reasonable in structure, ingenious in design and high in safety, the operation efficiency is effectively improved on the premise that operation safety and reliability are guaranteed, the operation cost can be effectively reduced, the system availability is remarkably improved, operation is flexible, and execution is safe and orderly.

The invention discloses an unmanned aerial vehicle target inversion method, system and device under a strong sea clutter background based on time-frequency-Doppler domain joint filtering and time-frequency ridge analysis, and a medium, and aims at a linear frequency modulation signal system radar, a multi-rotor unmanned aerial vehicle radar echo model is established, and a multi-rotor unmanned aerial vehicle radar echo is calculated. Actually measured sea surface radar echoes are added into multi-rotor unmanned aerial vehicle radar echoes to form unmanned aerial vehicle radar echoes under a complete strong sea clutter background, namely total radar echoes; performing time-frequency-Doppler domain joint filtering on the total radar echo to obtain a filtered total power spectral density P1; performing time-frequency ridge line extraction on the filtered total power spectral density P1 to verify the fitting degree; the system, the device and the medium are used for bearing and implementing the method. Compared with traditional single-field unmanned aerial vehicle detection, the method can better suppress sea clutters, is wider in application range, and can accurately detect and recognize an unmanned aerial vehicle target in a high-sea-condition environment.

The invention relates to the technical field of platform door control, in particular to a communication-based SIL4 platform door system, which comprises a domain controller, a DCU (Data Control Unit), an external interface and other subsystem equipment, the platform door system realizes interconnection and intercommunication with a signal system and other subsystem equipment through bus connection and hard wire connection, high safety and high reliability of the system are ensured, a dual-CPU architecture is adopted in a domain controller and a door control unit, dual processing and cross verification can be carried out on data by utilizing a dual-CPU design, and the system is convenient to use. The accuracy and consistency of data are ensured, so that an existing relay circuit is replaced to reach an SIL4 security level; a data transparent transmission mechanism is carried out by using a single CPU, so that the data transmission delay is reduced, and the real-time response capability is improved.

The present invention relates to the technical field of rail transit signaling systems, and in particular to a train control system, method and apparatus for heterogeneous verification of movement authority (MA). The system comprises: a ground-based temporary speed restriction server configured to send, to an onboard device of a target train, location information of all trains within a section corresponding to the target train; a ground-based radio block center configured to: calculate MA on the basis of the location information of the target train and location information of a train preceding the target train; and send the MA and identification information of the preceding train to the onboard device of the target train; and the onboard device configured to verify and correct the MA on the basis of the identification information of the preceding train and the location information of all the trains. In the present application, a heterogeneous MA calculation and verification mechanism is adopted, thereby reducing the risk of errors due to MA calculation by a single device.

The invention provides a particle image velocity measurement device and method suitable for an icing wind tunnel, and belongs to the technical field of particle image velocity measurement. Comprising a particle putting system, the particle putting system comprises a manufacturing device and putting equipment, the manufacturing device is used for manufacturing water into liquid drops, the liquid drops are used as tracer particles of the particle image velocity measurement device, the putting equipment is communicated with the manufacturing device, and an outlet of the putting equipment is arranged towards a measurement area. The liquid drops manufactured by the manufacturing device are put into the measuring area; the illumination system is used for providing light rays for the measurement area; the shooting system is used for shooting tracer particles in the measurement area; and the control system is in signal connection with the particle delivery system, the illumination system and the shooting system, and calculates the velocity field of the measurement area. According to the invention, water is made into liquid drops, the liquid drops are used as tracer particles, the tracer particles are prevented from blocking a nozzle of a spraying system, and a particle image velocity measurement test can be carried out in an icing wind tunnel.

A method for calculating and comparing evaluation indices for a signal system of an intersection includes: a traffic statistical information generation step of receiving image information in real time through cameras to derive traffic object information including traffic volume for each driving direction and traffic volume for each lane on a corresponding road at a preset first cycle, and to generate traffic statistical information including the traffic object information and intersection environment information; a digital twin generation step of inputting the traffic statistical information to a simulator, and implementing a traffic situation of the intersection as a graphical digital twin; and a composite congestion index derivation step of deriving a composite congestion index from each of an actual digital twin and a virtual digital twin, in which the evaluation indices are derived based on a congestion time of a predetermined number of vehicles at the corresponding intersection.

Systems and methods for wireless communication systems are disclosed. In one aspect, the wireless communication method includes determining, by a first wireless communication device, a power and sending, by the first wireless communication device to a second wireless communication device in a sidelink communication, a reference signal with the power. The power is determined based on one or more sidelink parameters related to a priority level associated with the reference signal.

The invention relates to a system for generating multiple types of coherent time-frequency signals. The system comprises an offset frequency generation module and a multi-source frequency and time generation module, the offset frequency generation module generates coherent time-frequency signals with different frequencies based on the same reference source according to the constellation synchronization requirement of the satellite time-frequency system; the time generation and measurement module generates time frequency signals used by various satellite loads in a frequency division or frequency multiplication mode according to the coherent time frequency signals generated by the offset frequency generation module, generates 1pps signals for the various time frequency signals respectively, measures the phase difference of the 1pps generated by the multi-source coherent time frequency signals, obtains the phase difference of multiple time frequency references and outputs the phase difference. According to the invention, various time-frequency signals required by the satellite load can be generated, the time-frequency signals are coherent, the 1pps phase difference generated by the time-frequency signals is fixed and measurable, and technical support is provided for the satellite load to support measurement of various signal systems.