71 results about "Marshalling" patented technology

The invention discloses a virtual marshalling multi-train cooperative adaptive sliding mode control method based on an extended state observer, and the method comprises the steps: firstly constructing an urban rail multi-train tracking error dynamic model based on a unit train dynamic equation; secondly, establishing a nonsingular terminal sliding mode surface according to the urban rail multi-train tracking error dynamical model to obtain an equivalent control law, combining the equivalent control law with a switching control law to obtain a nonsingular terminal sliding mode control law, and introducing a gain adaptive law and a saturation function into the nonsingular terminal sliding mode control law to obtain an adaptive nonsingular terminal sliding mode control law; and finally, an extended state observer is adopted to estimate external interference, an observation value of the interference is added to the output of the adaptive nonsingular terminal sliding mode controller to serve as feed-forward compensation, and the adaptive nonsingular terminal sliding mode control method based on the extended state observer is constructed. According to the method, the multi-train cooperative operation tracking control precision and stability can be remarkably improved under the external interference condition.

A system, apparatus and method for contract classification processes both primary contracts and their associated documents using context window marshalling. The computing device receives and segments each contract document into contextual chunks based on semantic boundaries, maintaining coherent meaning. A marshalling queue processes chunks sequentially, storing processed data within defined context windows, cross-references between chunks, and a running context buffer of key elements. This chunking and storing process repeats until all associated contract documents are processed. The system identifies parties and contract categories by aggregating information across processed chunks from all related documents, then determines risk parameters using a classifier that considers contractual elements, cross-document relationships, and contextual importance weights. Risk recommendations are calculated based on these parameters, identified parties, class categories, and aggregate metrics computed across document and chunk boundaries. The system ranks contracts by evaluating both individual chunk risks and whole-contract assessment, weighting risks based on contextual significance and inter-chunk dependencies across all related documents. Change recommendations are generated that correlate contractual elements with risk levels, identify high-risk chunks and their relationships, and suggest modifications considering cross-document impacts. This approach enables processing of contracts and their associated documents that exceed single context window limitations while maintaining semantic coherence and relationship preservation throughout the entire document collection.

The invention discloses a multipath load control acquisition device and system and a load control acquisition method, the device adopts an architecture in which a master device and a slave device cooperate, the master device comprises a master controller, a master communication module, a user display interface and a master interface unit, and the slave device comprises a slave interface unit, a slave controller, an acquisition unit and a slave communication module. Flexible marshalling management is achieved by distributing electronic identity numbers to the breakers, load parameters and the states of the breakers are synchronously collected through the collection unit, a two-way data transmission channel is constructed by means of the master-slave communication module, a control signal is generated based on preset logic and real-time data through the master controller, and the state of the breakers is controlled. And the slave controller issues an instruction to drive the circuit breaker electric operation mechanism to realize millisecond-level rapid switching-on and switching-off operation. According to the invention, the problems of insufficient number of loops, lack of state monitoring, slow response and the like of an existing load control system are solved, and accurate, rapid and intelligent management of multi-path loads on a client side is realized.

Approaches presented herein can provide for the performance of specific types of tasks using a large model, without a need to retrain the model. Custom endpoints can be trained for specific types of tasks, as may be indicated by the specification of one or more guidance mechanisms. A guidance mechanism can be added to or used along with a request to guide the model in performing a type of task with respect to a string of text. An endpoint receiving such a request can perform any marshalling needed to get the request in a format required by the model, and can add the guidance mechanisms to the request by, for example, prepending one or more text strings (or text prefixes) to a text-formatted request. A model receiving this string can process the text according to the guidance mechanisms. Such an approach can allow for a variety of tasks to be performed by a single model.

A set of discrete input / output (I / O) channels for one or more field devices may be grouped, organized, and connected to a field module device, which may connect to an electronic marshalling apparatus in a marshalling cabinet via an I / O channel. The field module acts as an intermediary, decoding messages received via the I / O channel to identify commands for discrete output (DO) channels that are then forwarded appropriately. The field module may also receive variable values carried by signals on discrete input (DI) channels and encode the values to a message that may be transmitted to the marshalling apparatus and controller, thus making the variable values on the DI channels available to the controller. The field module may store a profile including information that facilitates various smart commissioning techniques, including autosensing of tags, automatic tag binding, and automatic configuration of a control element corresponding to the field module.

The invention discloses a railway marshalling station intelligent scheduling control method and system based on hierarchical reinforcement learning, and belongs to the technical field of rail transit. In the hierarchical reinforcement learning framework, the upper layer achieves a global marshalling priority strategy by using a deep Q network trained in stages and by means of dynamic reward function design; and the lower layer optimizes a PPO algorithm by means of a near-end strategy of dynamic action space cutting, and regulates and controls the state of the debugging equipment in real time. A security policy distillation technology is adopted in a marshalling station scheduling control process, and a security policy passing verification is extracted as a rule tree to serve as an initial policy for reinforcement learning, so that a training convergence process is accelerated. A transfer learning method is further applied, so that the method can adapt to the dynamic flow distribution requirements of marshalling stations of different scales. By adopting the technical scheme of the invention, the physical limitation and the operation safety standard of the railway marshalling station can be met as far as possible.

The invention relates to a free marshalling control method, device and system for station equipment and electronic equipment, and the method comprises the steps: obtaining the use demand, scheduling demand and scene application information of the station equipment, generating a standard operation instruction set of the equipment according to the information, and enabling the instruction set to comprise an execution instruction and an execution object; according to scene requirements, the control execution instruction and the execution object are freely combined to generate a marshalling plan; simulating a plan execution condition, and outputting feedback information; and identifying operation data, energy consumption data and feedback information of the equipment to generate a log report, and optimizing the plan according to the log report. According to the free marshalling control method, device and system for the station equipment and the electronic equipment, flexible configuration of control over multiple pieces of equipment and multiple pieces of professional equipment can be achieved through a free marshalling station equipment control mode, meanwhile, in the actual operation process, operation personnel do not need to execute control instructions on site, and the labor cost is reduced.

Approaches presented herein can provide for the performance of specific types of tasks using a large model, without a need to retrain the model. Custom endpoints can be trained for specific types of tasks, as may be indicated by the specification of one or more guidance mechanisms. A guidance mechanism can be added to or used along with a request to guide the model in performing a type of task with respect to a string of text. An endpoint receiving such a request can perform any marshalling needed to get the request in a format required by the model, and can add the guidance mechanisms to the request by, for example, prepending one or more text strings (or text prefixes) to a text-formatted request. A model receiving this string can process the text according to the guidance mechanisms. Such an approach can allow for a variety of tasks to be performed by a single model.

The invention discloses a long marshalling train coupler force prediction method and device, equipment and a storage medium. The method comprises the steps that simulation data generated when a pre-constructed longitudinal dynamic model operates under multiple working conditions are acquired; inputting the current train operation data into the longitudinal dynamical model for simulation to obtain first coupler force data; the current train operation data are input into a pre-constructed coupler force estimation model for prediction, second coupler force data are obtained, and the coupler force estimation model is related to the simulation data; and filtering and fusing the first coupler force data and the second coupler force data to obtain the coupler force of the train. According to the coupler force prediction method, device and equipment for the long marshalling train and the storage medium, the problems that an existing coupler force prediction method is low in precision and poor in stability are solved, the interpretability of the longitudinal dynamical model and the adaptability of the coupler force estimation model are considered, and the prediction accuracy of the coupler force prediction method is improved. Therefore, high-precision and high-stability coupler force prediction is realized.

The invention discloses a train communication address allocation method, electronic equipment and a storage medium, and the method comprises the steps: carrying out the detection interaction between train-level backbone network modules of each train to determine a subnet segment corresponding to each train, and receiving an address request of local target equipment based on an Ethernet train composition module of each train, the unique network address is allocated based on the subnet segment, so that the technical problems of low efficiency, easy conflict and incapability of adapting to flexible marshalling requirements caused by manual configuration of the communication address during marshalling adjustment of the existing train are solved, automatic allocation of the train communication address is realized, the marshalling adjustment time is greatly shortened, address conflict is avoided, and the marshalling adjustment efficiency is improved. And meanwhile, different marshalling switching is adapted to meet diversified operation requirements.

The invention relates to a method and equipment for testing in-station marshalling and departure functions of a virtual marshalling system and a medium, and the method comprises the steps: testing the marshalling functions of the virtual marshalling system on a station track with a waist turnout in a station and a station track without the waist turnout in the station respectively, and testing the FS mode departure function and the ATO mode departure function of a train respectively in two scenes; meanwhile, in the testing process, the testing result of each step in the in-station marshalling process is observed from the visual interfaces of the vehicle-mounted DMI, the CTC, the RBC maintenance station and the interlocking maintenance station. Compared with the prior art, the method has the advantages that the scene of in-station marshalling in the virtual marshalling system is fully covered, and the testing efficiency is greatly improved.

The present invention relates to computer operating systems and proposes a novel OS architecture to provide compatibility between different generations of user applications and operating systems. In addition, the OS also implements a refined module-based structure for customization and full access to hardware functions. The OS and its kernel can be developed for new functions and hardware without damaging and rewriting existing software components and applications. This architecture is represented as ACOM - an evolving COM component architecture with invariant interfaces and their specifications, allowing components to freely program code implementations. It includes: the modular microkernel itself, the possibility for the OS to run containers of microkernels of different generations simultaneously, including / delegating or aggregating other required components; a special marshaling mechanism that reduces the size of headers by allowing executable files to have address pointers for a single system interface instance for dynamic function imports, without the need to recompile earlier executable files in an application according to the latest version of the OS system library.

The invention relates to a virtual marshalling train spacing dynamic control method. The method comprises the following steps: S1, acquiring current running state data of all trains in a virtual marshalling train group; s2, based on a particle swarm optimization algorithm, initializing a particle swarm according to the current running state data of all trains; s3, performing iterative optimization on the particle swarm according to a preset constraint condition until a preset maximum number of iterations is reached; s4, after iterative optimization is completed, a group optimal solution is output, the group optimal solution comprises a group of optimized train position sequences, and recommendation intervals between adjacent trains in the virtual marshalling train group are calculated according to the train position sequences; and S5, according to the recommended interval, a control instruction is generated and sent to each train in the virtual marshalling train group, so that the traction or braking working condition of each train is dynamically adjusted, and the train interval tends to the recommended interval. According to the method, the operation stability of the virtual marshalling train can be improved on the basis of ensuring the safe operation of the virtual marshalling train.

A system, apparatus and method for contract classification processes both primary contracts and their associated documents using context window marshalling. The computing device receives and segments each contract document into contextual chunks based on semantic boundaries, maintaining coherent meaning. A marshalling queue processes chunks sequentially, storing processed data within defined context windows, cross-references between chunks, and a running context buffer of key elements. The system identifies parties and contract categories by aggregating information across processed chunks from all related documents, then determines risk parameters using a classifier that considers contractual elements, cross document relationships, and contextual importance weights. Risk recommendations are calculated based on these parameters, identified parties, class categories, and aggregate metrics computed across document and chunk boundaries.

The invention relates to the technical field of marshalling plans of freight trains, in particular to a digital platform for compiling a marshalling plan of a railway freight train, which establishes the digital compiling platform for the marshalling plan of the railway freight train and realizes intelligent definition of a group number range and intelligent generation of text description. The planning requirements of business personnel at all levels of the railway are met, the productivity is further liberated, and the production quality and efficiency are improved; according to the method, a planned route algorithm is designed, pre-judgment of a transfer technical station with reconciliation and without reconciliation in the cargo transportation process is achieved, and technical support is provided for intelligent compilation of a railway cargo train marshalling plan. The invention provides a marshalling plan intelligent compilation algorithm, the algorithm is composed of a basic traffic flow method, a path umbrella and a traffic flow convergence algorithm, and intelligent compilation of the marshalling plan of the marshalling station from far to near is realized according to the intensity of the marshalling traffic flow.

This invention relates to a flexible train formation, coupling, and decoupling fully automated scheduling and management method, equipment, and medium. The method includes the following steps: Step S1, dynamically creating a train number window for coupled trains in the scheduling and management system; Step S2, compiling a fully automated coupling and decoupling operation diagram; Step S3, managing the automated coupling process; Step S4, managing the automated decoupling process. Compared with existing technologies, this invention has advantages such as making scheduling and command more flexible in actual operation scenarios and improving overall operational efficiency.

The present disclosure relates to the field of computer network technology, and discloses a control method, device, server and edge switch cluster of edge switches, including: obtaining configuration information of a virtual gateway, querying switch grouping information based on the identifier of a target edge switch in the configuration information, thereby determining a scheduling path, issuing configuration information according to the scheduling path, and configuring the target edge switch according to the configuration content. Among them, the switch grouping information is divided based on a first switch controller and a first geographical location of a first edge switch, and the first switch controller is connected to the corresponding first edge switch. The method divides the switch controller and the edge switch according to the geographical location, and through a specific controller component and forwarding device arrangement and organization method, it realizes the scheduling and configuration of the target edge switch in the cluster according to the grouping information, ensures the precise control of the edge switch, and ensures the stability of the control system.

According to the intelligent train dynamic marshalling scheduling method for the heavy haul railway marshalling station, a train dynamic marshalling scheduling mixed integer linear programming model for the heavy haul railway marshalling station is established, and the target function is to minimize the dwell time of a train in the marshalling station; the decision variables comprise a train dynamic marshalling strategy, a departure sequence and departure time; the mixed integer linear programming model is expanded into a two-stage robust optimization model, the first stage decides a marshalling scheme of a departure train, and the second stage optimizes a departure time sequence based on a worst operation time scene; solving the two-stage robust optimization model by using an improved column sum constraint generation method, and determining an optimal departure sequence and time by combining a dynamic programming algorithm; and verifying the performance of the dynamic marshalling scheduling strategy through a numerical experiment. The optimal scheduling strategy is generated under the condition that the operation time of the train marshalling station is uncertain, and the scheduling strategy obtained by solving can be ensured to have better robustness in test cases of different scales.

This technology enhances the GPU computing model to provide data marshalling features provided by the system of the graphics pipeline, thereby improving efficiency and reducing overhead. A simple scheduling model based on scalar counters (e.g., semaphores) abstracts the availability of hardware resources. Resource release can be done programmatically, and the system scheduler only needs to track the status of such counters / semaphores to make work start decisions. The semantics of the counters / semaphores are defined by the application, and the application can use the counters / semaphores to represent the availability of available space in the memory buffer, the amount of cache pressure caused by data flow in the network, or the presence of work items to be processed.

Embodiments of the present disclosure provide a train virtual marshalling key technology test requirement extraction method and device, which are applied to the field of rail transit technology. The method comprises: acquiring various running data of train virtual marshalling runtime; matching the various running data with various train virtual marshalling key technologies to determine the train virtual marshalling key technologies corresponding to the various running data; dividing the various running data into a first data set of the train virtual marshalling key technologies corresponding thereto; and generating test requirements of the various train virtual marshalling key technologies according to the running data in the first data set of the various train virtual marshalling key technologies. In this way, the attribution of the various running data can be divided through the matching of the various running data of train virtual marshalling runtime with the various train virtual marshalling key technologies, and then the test requirements of the various train virtual marshalling key technologies are generated, thereby realizing the systematic extraction of the test requirements of the train virtual marshalling key technologies.

Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can identify an effective channel on a transmission stream framework comprising a plurality of channels and nodes using current capacity states and current transmission schedules. Embodiments of the present invention can then determine whether to continue marshalling on a current channel or to marshal to the effective channel based on transmission demands between nodes and channel providing a minimum latency between available options within the transmission stream framework

The application provides an interconnection and interworking test system and method based on an ETB network, which comprises an ETBN device set, an ETB side data stream exchange control system, a power supply control system, an upper computer and an ECN side data stream exchange control system. The ECN side data stream exchange control system controls the upper computer and the ETBN device to interact information, distributes a plurality of marshalling TRDP data simulated by the upper computer to corresponding ETBN devices in the ETBN device set, and forwards an Ethernet instruction of the topology structure of the ETBN device set sent by the upper computer to the ETB side data stream exchange control system. The upper computer sends an instruction for setting the topology structure of the ETBN device set to the ETB side data stream exchange control system according to a corresponding IP address, sends a test excitation to each ETBN device, calculates a test expected result, compares the test expected result with an actual result fed back by the ETBN device, and obtains a test result.

The embodiment of the invention provides a data processing method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of data processing. Obtaining to-be-processed point cloud data; under the condition that the to-be-processed point cloud data meets a marshalling condition, marshalling the to-be-processed point cloud data; and processing the grouped to-be-processed point cloud data according to the target processing logic selected by the user. Therefore, the point cloud data with the same processing logic can be grouped together, so that the relevance between the data can be improved, the relationship between the new data and the data before processing can be determined according to the grouping after processing, the data needing to be processed together cannot be independently processed, the difference between processing results can be reduced, and the processing efficiency can be improved. And the data processing effect is improved.

The application discloses a plan-driven radio block center virtual marshalling control method and system, and is applied to the technical field of data processing.The radio block center is taken as a core, a marshalling plan of a centralized dispatching system, train data, trackside and interlocking information are acquired first, cross-source mapping is established through associated line and station basic data, and initial legality checking is completed, and target associated plan data is generated.Then, structured control data is obtained through splitting processing, topological relationship generation and a priority caching mechanism, and targeted control commands are generated in combination with real-time states of trains and state machine logic.Through optimization of state machine migration conditions and weights, a dynamic optimization model is constructed, and finally, based on the model and train-ground and train-train communication states, virtual marshalling dynamic control results and abnormal protection instructions are output, and efficient and safe train virtual marshalling control is realized.

The invention provides a data interaction method and device, electronic equipment and a storage medium, which are applied to various scenes such as cloud technology, artificial intelligence, intelligent traffic and auxiliary driving, and the method comprises the following steps: receiving an image file of an architecture diagram corresponding to a cloud product; the cloud product can be a cloud server, the image file is obtained by performing model marshalling according to a logic diagram of the architecture diagram, and the logic diagram is obtained by splitting the architecture diagram; performing analysis processing on the image file, and obtaining a group object and a subgroup object corresponding to the cloud product from an analysis processing result; displaying a target model corresponding to the cloud product based on the group object and the subgroup object; and in response to an operation instruction triggered based on the preset object, displaying at least one of contents included in the group object to which the preset object belongs, contents included in the subgroup object to which the preset object belongs, the subgroup object to which the preset object belongs and the tag component associated with the group object in a preset form. According to the invention, the interaction convenience of the cloud product is improved.

A backplane for use in an I / O device includes a first bus configured to communicatively couple each of a plurality of electronic marshalling component (EMC) slots to each of one or more I / O processor module slots. The I / O device also includes a second bus, redundant to the first bus, configured to communicatively couple each of the plurality of EMC slots to each of the one or more I / O processor module slots. For each pair of a one of the plurality of EMC slots and a one of the one or more I / O processor module slots, a first path length of the first bus between the pair is the same as a second path length of the second bus between the pair, such that data transmitted between the pair on the first bus has a same latency as data transmitted between the pair on the second bus.

The application discloses a kind of dry bulk cargo wharf mobile caterpillar equipment intelligent marshalling and collaborative control system and method, the mobile caterpillar equipment intelligent marshalling and collaborative control system includes hardware part and software part, hardware part includes equipment modular classification module, dynamic marshalling strategy module, multi-machine collaborative control module and global data collaborative platform;Software part includes TI module and ECI module, and upwards with wharf operating system i-TOS interactive docking, and downwards through standardized interface form and caterpillar single machine equipment control system interaction.The application further discloses a kind of dry bulk cargo wharf mobile caterpillar equipment intelligent marshalling and collaborative control method.The dry bulk cargo wharf mobile caterpillar equipment intelligent marshalling and collaborative control system and method realize the automation operation optimization of unloading, storage, taking material, loading whole process by dynamic marshalling strategy and multi-machine collaborative control, improve the operation efficiency and space utilization of dry bulk cargo wharf.

The invention discloses an ECN marshalling consistency test system and method, and the system comprises a to-be-tested ECN which is used for bearing Ethernet communication in marshalling, receiving test flow as a test object during testing, and executing corresponding protocol processing; the accompanying test equipment is used for simulating interaction between the terminal and the ECN network to be tested during test so as to inject and / or receive test service flow; the ETBN switch is used for providing upstream network service in the testing process; the automatic test module is used for controlling the test process, calling a test execution engine to execute a preset test case, monitoring the execution progress of the test case, and collecting and summarizing execution results; and the test execution engine is used for executing the test case to perform a consistency test on the ECN network to be tested and outputting an execution result of the test case. According to the ECN marshalling consistency testing method and device, automation of ECN marshalling consistency testing is achieved, the testing accuracy and consistency are guaranteed, and meanwhile the testing efficiency is improved.

The application provides a dynamic marshalling method applied to virtual marshalling, and the method comprises the following steps: in response to a command of dynamic marshalling, obtaining a marshalling section and enabling adjacent trains to establish train-to-train communication to obtain front train and rear train information in the adjacent trains; based on the obtained front train and rear train information, a first optimization target meeting a virtual marshalling constraint condition is constructed with the target of accurate marshalling and low energy consumption; a dynamic programming method is adopted to calculate an optimal control strategy in a virtual marshalling process and an offline speed curve corresponding to the optimal control strategy based on the first optimization target; the rear train is controlled to run according to the offline speed curve based on the optimal control strategy; the running condition of the rear train is monitored in real time during the running of the rear train; when the actual running speed curve of the rear train deviates from the offline speed curve, a sequential quadratic programming method is adopted to calculate and update the optimal control strategy and the speed curve in a subsequent stage, and the rear train is controlled based on the updated optimal control strategy.