B61L27/60

Positive Train Control simulation system and method therefor
11756446 · 2023-09-12 · ·

A system and method for simulating positive train control (PTC) systems in a local and controlled environment using software and hardware. The system can simulate various functionalities of the PTC system in the environment using software and hardware components. The system can instruct the software of a train management computer (TMC) to control electromechanical valves to simulate air compression on brake pipes in response to the PTC system executing a penalty on the locomotive. The system can display statuses of various systems on the locomotive to a user using a cab display unit (CDU). The system can control the software and hardware components to simulate warnings and actions from the PTC system allowing locomotive engineers and conductors to experience the PTC system for optimum training.

DYNAMIC PARAMETER CALCULATION METHOD BASED ON CTC SIMULATION TRAINING PROCEDURE AND APPARATUS THEREOF

The present invention relates to a dynamic parameter calculation method based on a CTC simulation training procedure and an apparatus thereof. The method includes the following steps: step S.sub.1: establishing a parameterized multi-branch emergency response procedure template; and step S.sub.2: performing dynamic parameter calculation and substitution on CTC data by using a combinatorial computational branching method. Compared with the related art, the present invention has the advantages of strong applicability, high real-time performance, and high accuracy.

DYNAMIC PARAMETER CALCULATION METHOD BASED ON CTC SIMULATION TRAINING PROCEDURE AND APPARATUS THEREOF

The present invention relates to a dynamic parameter calculation method based on a CTC simulation training procedure and an apparatus thereof. The method includes the following steps: step S.sub.1: establishing a parameterized multi-branch emergency response procedure template; and step S.sub.2: performing dynamic parameter calculation and substitution on CTC data by using a combinatorial computational branching method. Compared with the related art, the present invention has the advantages of strong applicability, high real-time performance, and high accuracy.

POSITIVE TRAIN CONTROL SIMULATION SYSTEM AND METHOD THEREFOR
20230377474 · 2023-11-23 · ·

A system and method for simulating positive train control (PTC) systems in a local and controlled environment using software and hardware. The system can simulate various functionalities of the PTC system in the environment using software and hardware components. The system can instruct the software of a train management computer (TMC) to control electromechanical valves to simulate air compression on brake pipes in response to the PTC system executing a penalty on the locomotive. The system can display statuses of various systems on the locomotive to a user using a cab display unit (CDU). The system can control the software and hardware components to simulate warnings and actions from the PTC system allowing locomotive engineers and conductors to experience the PTC system for optimum training.

POSITIVE TRAIN CONTROL SIMULATION SYSTEM AND METHOD THEREFOR
20230377474 · 2023-11-23 · ·

A system and method for simulating positive train control (PTC) systems in a local and controlled environment using software and hardware. The system can simulate various functionalities of the PTC system in the environment using software and hardware components. The system can instruct the software of a train management computer (TMC) to control electromechanical valves to simulate air compression on brake pipes in response to the PTC system executing a penalty on the locomotive. The system can display statuses of various systems on the locomotive to a user using a cab display unit (CDU). The system can control the software and hardware components to simulate warnings and actions from the PTC system allowing locomotive engineers and conductors to experience the PTC system for optimum training.

TRAIN SIGNAL SYSTEM AND LINKAGE METHOD THEREFOR
20220297731 · 2022-09-22 ·

A train signal system includes a first subsystem, a second subsystem, built by an LUA framework, and a control platform configured to perform communication with the first subsystem by using a first interface, perform communication with the second subsystem by using a second interface, and transmit an LUA script instruction to the second subsystem by using the second interface, so that the second subsystem executes the LUA script instruction.

System for controlling or monitoring a vehicle system along a route

System includes a control system used to control operation of a vehicle system as the vehicle system moves along a route. The vehicle system includes a plurality of system vehicles in which adjacent system vehicles are operatively coupled such that the adjacent system vehicles are permitted to move relative to one another. The control system includes one or more processors that are configured to (a) receive operational settings of the vehicle system and (b) input the operational settings into a system model of the vehicle system to determine an observed metric of the vehicle system. The one or more processors are also configured to (c) compare the observed metric to a reference metric and (d) modify the operational settings of the vehicle system based on differences between the observed and the reference metrics.

System for controlling or monitoring a vehicle system along a route

System includes a control system used to control operation of a vehicle system as the vehicle system moves along a route. The vehicle system includes a plurality of system vehicles in which adjacent system vehicles are operatively coupled such that the adjacent system vehicles are permitted to move relative to one another. The control system includes one or more processors that are configured to (a) receive operational settings of the vehicle system and (b) input the operational settings into a system model of the vehicle system to determine an observed metric of the vehicle system. The one or more processors are also configured to (c) compare the observed metric to a reference metric and (d) modify the operational settings of the vehicle system based on differences between the observed and the reference metrics.

Portable pneumatic loading system for simulating operation of subway train

A portable pneumatic loading system for simulating the operation of a subway train is provided, comprising a control cabinet, an powered air station and an air cylinder, wherein a proportional directional valve is disposed between the control cabinet and the powered air station, a control cabinet is connected to the powered air station through an air inlet pipe, and the powered air station is connected to the air cylinder through a hose; a PLC, a switching power supply and a guide rail are arranged in the control cabinet, with the PLC and the switching power supply being connected through signal lines to a wiring terminal fixed on the guide rail; a frequency regulating knob, an emergency stop switch, a main start button, a power start button and a power indicator are embedded in five through holes formed on a door of the control cabinet, respectively; a signal line led out from the top of the control cabinet is connected to the proportional directional valve; and, the air cylinder is connected to the proportional directional valve through a hose. The present invention has the following advantages: the system is light, flexible and portable, and can enter subway tunnels under various working conditions; and, the design is novel and reasonable, the operation is simple, the actual engineering operation is highly feasible, and the on-site adjustment process is more visible.

Method and system for multi-objective optimization of urban train operation

Disclosed are a method and a system for multi-objective optimization of urban train operation. Firstly, speed limit information, slope information and curve radius information of a real train route are obtained, a section is segmented into non-equal sub-sections according to the above information about actual line characteristics, and then a longitudinal dynamics model of the train is constructed in combination with basic vehicle data of the train. Next, energy consumption of the train operation, section operation time, actual parking positions, and rates of acceleration change are calculated, so as to construct a multi-objective optimization model of train operation. Afterwards, a multi-objective differential evolution algorithm is used to solve the multi-objective optimization model, in order to obtain a Pareto optimal solution set of each operation district. Finally, an optimal solution is obtained which takes all objectives into comprehensive consideration, and an optimal train speed curve is generated.