6results about How to "Improve punctuality" patented technology

The application discloses a kind of to time data processing method and system, it is related to data processing technical field, the method includes: based on local environment data, acquisition acquisition cycle, collect high-precision time data and local perception data;Data characteristics of the same batch crystal are analyzed, and based on the high-precision time data and the local perception data, obtain time deviation;Based on the data characteristics analysis rationality of time deviation, obtain rationality analysis result, adjust the acquisition cycle, obtain optimized acquisition cycle;Based on the local environment data is combined mapping table to obtain correction value, and based on the time deviation and crystal data characteristics and the mutual influence correlation of time deviation, the mapping table is dynamically revised, to obtain revised mapping table, for the time data processing of next cycle.The application solves the technical problem that the prior art exists and time data processing effect is not good.

The application relates to a coal injection amount adjusting method and system, electronic equipment and a storage medium, the coal injection amount adjusting method comprising the following steps: acquiring average batch number of discharging per unit time, batch material volume information, volume between the interface of a furnace shaft and a furnace waist and a tuyere center line plane, and smelting cycle time length information; confirming a coal powder thermal lag time length according to the average batch number of discharging per unit time, the batch material volume information and the volume between the interface of the furnace shaft and the furnace waist and the tuyere center line plane; and confirming a coal injection adjustment starting time according to the coal powder thermal lag time length, the smelting cycle time length information and first batch of furnace charge entering a furnace time information after coke load changes. The application comprehensively considers single and multiple factors to confirm the coal injection amount adjustment starting time, improves the punctuality of the coal injection amount adjustment starting time, can accurately calculate the coal injection amount adjustment starting time when the coke load of the entering furnace charge changes, can be used for guiding blast furnace operators to adjust the furnace condition, and avoids the fluctuation of the furnace temperature and the waste of the fuel consumption.

This invention belongs to the field of intelligent transportation technology, specifically relating to a global-local green wave traffic method for smart buses at multiple intersections in a 5G-CV2X vehicle-road-cloud collaborative environment. This method uses 5G-V2X equipment to obtain real-time driving status of buses, real-time road conditions, and real-time phase information of traffic lights at multiple intersections. First, based on the green light ratio objective function, a global optimization algorithm is initiated to globally optimize the phase duration of traffic lights at multiple intersections and the bus speed. However, the global optimization algorithm does not consider the queuing situation of other vehicles at the intersection. The local optimization algorithm mainly relies on the real-time queuing situation of buses at the intersection, and re-plans the bus speed at subsequent intersections based on the global optimization. This invention solves the problems of green wave traffic for buses at multiple intersections and the time delays caused by vehicle queuing during priority passage, thereby greatly improving the traffic efficiency and punctuality of buses at multiple intersections.

The invention provides a bus signal priority compensation control method and system based on green wave band protection. The method comprises the steps that trunk line green wave coordination parameters are acquired; collecting road traffic information, traffic signal state information and vehicle running state information; judging whether a bus priority triggering condition is met or not according to the collected information; when the trigger condition is met, executing a bus priority strategy, and determining additional phase time increased by the strategy in the current signal period; executing a phase compensation mechanism which specifically comprises the following steps: judging whether a non-coordinated phase has enough compensation capability in a current period; if there is enough compensation capability, compensation of the additional phase time is completed in the current period; and if the compensation capability is not enough, performing partial compensation by using the available compensation time of the non-coordinated phase in the current period, and distributing the residual disturbance time to the subsequent one or more periods to gradually complete compensation. According to the invention, the operation efficiency of buses and the overall traffic capacity of urban traffic are improved.

Methods, systems, and apparatus for obtaining solutions to train and driver recovery problems using quantum computation. In one aspect, a method includes receiving data representing a train and driver recovery problem, wherein the train and driver recovery problem comprises a task of recovering from a disruption to a planned train and driver schedule; generating, based on the data representing the train and driver recovery problem, a quadratic unconstrained binary optimization (QUBO) formulation of the train and driver recovery problem, wherein the QUBO formulation excludes variables that relax constraints on driver duties; obtaining data representing a solution to the train and driver recovery problem from a quantum computing resource, wherein the data representing the solution to the train and driver recovery problem comprises an adjusted train and driver schedule; and initiating an action based on the obtained data representing a solution to the train and driver recovery problem.

The invention provides an intelligent rail green wave driving method and system based on multi-system linkage, relates to the technical field of intelligent rail traffic control, and solves the problem that the overall operation efficiency of a novel rail vehicle under shared right of way is limited. The method comprises the following steps: collecting real-time position and speed data of the intelligent rail vehicle, verifying the data by a station monitoring system, calculating the predicted intersection arrival time of the intelligent rail vehicle, and sending the predicted intersection arrival time to a traffic signal lamp management system; and the predicted intersection arrival time, the current corresponding signal lamp state and intersection traffic flow data are combined and uploaded to a total traffic light control center, and the total traffic light control center determines whether to trigger a green light acceleration operation or not through an authority grading judgment mode, calculates the green light acceleration duration during triggering, generates a green light acceleration instruction and issues the green light acceleration instruction to the corresponding traffic signal lamp. On the premise of guaranteeing the traffic safety of the intelligent rail, social vehicles and pedestrians, the traffic efficiency of the intelligent rail intersection is remarkably improved, the operation and maintenance cost is reduced, and the urban traffic operation order is optimized.