16results about How to "Improve punctuality" patented technology

The invention relates to the technical field of logistics transportation scheduling, in particular to a logistics management system based on intelligent scheduling, which comprises a data acquisition module, a demand analysis module, an intelligent scheduling module, a path planning module, a monitoring and feedback module, an optimization module and the like. The data acquisition module is used for collecting information such as goods, vehicles, storage, customer demands and traffic road conditions; the demand analysis module predicts logistics demands by using a time sequence analysis or machine learning algorithm; the intelligent scheduling module adopts a greedy and dynamic programming mixed algorithm to allocate resources; the path planning module calculates an optimal path according to road conditions and starting and ending points; the monitoring and feedback module monitors logistics parameters in real time and feeds back abnormity; and the optimization module optimizes the scheduling scheme according to the fitness function based on the genetic algorithm. According to the invention, data and resources of all links of logistics are effectively integrated, accurate demand prediction, efficient resource configuration, transportation path optimization, real-time monitoring feedback and overall performance improvement of the system are realized, the logistics cost is significantly reduced, and the transportation efficiency and the service quality are improved.

The invention relates to the technical field of solid waste sorting scheduling, in particular to a real-time monitoring optimization method and device for a solid waste collection, transportation and sorting ERP system. The method comprises the following steps: obtaining a real-time solid waste sorting log based on a solid waste collection, transportation and sorting ERP system; solid waste carrying vehicle tracking is carried out on the real-time solid waste sorting log, and a carrying track distribution visual view is constructed; acquiring an omnibearing monitoring image of a real-time sorting site; equipment sorting behavior visual identification is carried out on the real-time sorting site omnibearing monitoring image, dynamic sorting evolution is carried out, and a dynamic sorting twinborn model is constructed; carrying out multi-time-point solid waste sorting simulation on the dynamic sorting twinborn model, carrying out sorting load demand prediction, and generating a sorting load demand prediction value; and carrying out vehicle load calculation on the sorting load demand prediction value one by one, and then carrying out dynamic vehicle scheduling decision making to obtain a dynamic vehicle scheduling strategy. According to the invention, efficient and real-time solid waste sorting scheduling optimization is realized.

The invention provides a new energy transport capacity task scheduling method and system based on an energy complementation scene, and relates to the technical field of transport capacity task scheduling, and the scheduling method comprises the steps: collecting and preprocessing the real-time data of the energy, position, energy consumption and the like of a vehicle, carrying out the vehicle endurance evaluation and energy complementation judgment according to the real-time data, according to the endurance evaluation and energy complementation judgment result, screening energy complementation sites meeting preset conditions, carrying out scheme calculation and cost calculation on the screened energy complementation sites, comparing calculation results through an intelligent scheduling decision algorithm to obtain a final scheduling scheme, sending a scheduling instruction, carrying out cycle scheduling on newly added waybills or transport capacity tasks, and carrying out scheduling on the newly added waybills or transport capacity tasks. The scheduling scheme is dynamically adjusted and updated in real time according to actual conditions so as to adapt to efficient operation of a complex scene; the scheduling flexibility is enhanced, the scheduling efficiency and economic benefits of the new energy transport capacity in the energy complementing scene can be remarkably improved, and powerful support is provided for wide application of new energy automobiles in the logistics transportation field.

The invention belongs to the field of rail transit transportation, and particularly relates to a cargo multimodal transport system integrating high-speed rail express transportation and subway distribution. Comprising a high-speed rail trunk line transportation subsystem for cargo transportation between two cities, an urban underground distribution subsystem, node infrastructures communicating the high-speed rail trunk line transportation subsystem and the urban underground distribution subsystem, and carrying equipment for realizing cargo transportation of the high-speed rail trunk line transportation subsystem and the urban underground distribution subsystem. According to the invention, adverse effects of freight activities on subway passenger service can be avoided; a traditional traffic mode is effectively promoted to be upgraded and transformed to be efficient, intelligent and integrated, and therefore the rapidly-increased differentiated transportation service requirements are met.

The invention relates to the technical field of flying around of aircrafts, in particular to an airport entering and leaving thunderstorm flying around scheme analysis system based on historical flight paths. And obtaining a thunderstorm fly-around scheme of the current aircraft at the airport by combining the meteorological data of the specified area in the specified time period in the future and the geographical map information of the airport and the surrounding area. The method has the beneficial effects that through data analysis and processing, the comparison between the flight historical track based on the geographic map and the flight program design standard track is realized, so that the flight fly-around rule under the thunderstorm weather is obtained, and a pre-fly-around scheme reference under the thunderstorm weather is provided for pilots and controllers. A more reasonable and safer fly-around scheme is formulated, and the thunderstorm weather coping capacity is enhanced. The system aims at improving the flight safety, reducing flight delay and cancellation caused by thunderstorm weather and improving the flight punctuality rate.

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 present application relates to the field of urban public transportation technology, and in particular to a bus service method, system, terminal and storage medium based on intelligent transportation, aiming to solve the defect that the dispatching method in the prior art ignores the road condition information of the vehicle, resulting in the difficulty of the vehicle to be on time. The technical solution is: a bus service method based on intelligent transportation, including pre-establishing a bus geographic information system; obtaining the train information of all bus routes in the city, and marking all the stations in the bus routes; obtaining real-time traffic data in the city, estimating the travel time between adjacent stations in the bus routes; adjusting the vehicle dispatching plan; obtaining the real-time driving status of the vehicle and the operation information of the on-board equipment; updating the vehicle dispatching plan. The present application has the effect of referring to the actual road condition information when dispatching the bus, so as to improve the rationality of the vehicle dispatching.

The utility model discloses a medicine box with a reminding function, and relates to the field of medicine boxes, the medicine box comprises a medicine storage body arranged on the upper side of a base plate and further comprises a rotating block, a power module is fixedly connected to the inner side of the rotating block in a clamped mode, a timing alarm module is fixedly connected to the upper side of the power module in a clamped mode, and a plurality of sets of grooves are formed in the outer side face of the medicine storage body at equal intervals. A fixing ring plate is fixedly connected to the position, close to the edge, of the upper surface of the base plate, a baffle is arranged on the outer side of the fixing ring plate, a micro motor is fixedly embedded in the middle of the upper surface of the base plate, a rotating shaft is fixedly connected to the output end of the micro motor, and a rotating block is fixedly connected to the upper end of the rotating shaft; the rotating block is fixedly clamped and connected to the inner side of the medicine storage body; the medicine box has the advantages of being capable of reminding a user to take medicine by mistake while reminding the user to take medicine on time, improving punctuality and accuracy of medicine taking, achieving the function of carrying the medicine box and preventing the user from forgetting to take the medicine box.

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.

The invention discloses a method for centralized dispatching of multiple buses considering travel time fluctuations, including S1: collecting operation information, station location information, road condition information and historical driving data information of bus lines, and initializing bus operation parameters in combination with bus operation experience to select time control points; S2: based on the operation information of bus lines, according to station location information and selected time control points, with the goal of minimizing the total cost of the bus pre-dispatching system, establishing a first-stage optimization model for centralized dispatching of multiple buses; S3: establishing a second-stage optimization model for centralized dispatching of multiple buses according to the first-stage optimization model for centralized dispatching of multiple buses; S4: obtaining a dispatching plan according to the second-stage optimization model for centralized dispatching of multiple buses, so as to establish a scene fusion coordination mechanism to obtain a robust dispatching plan for centralized dispatching of multiple buses. This method takes the time cost and operation cost of the bus system as the dual goals, realizes the reduction of operation cost while ensuring service quality, fully considers the interference of travel time fluctuations on dispatching, and realizes the design of centralized dispatching of multiple buses in combination with time control points.

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 application relates to a three-mode redundant power station localized high-precision autonomous time-keeping system and method, which comprises a three-way local atomic clock reference module for outputting frequency signals and timing pulse signals; a Beidou auxiliary calibration module for timing receiving Beidou satellite signals and calibrating and correcting long-term aging drift of the three-way local atomic clock reference module; a three-clock intelligent comparison fault-tolerant module for collecting three-way clock timing data in real time, executing two-by-two comparison and intelligent weighted fault-tolerant algorithm, automatically identifying drift overage and faults, completing non-jitter, non-interruption and seamless switching, and outputting unified standard timing signals; and a redundant time service transmission module for layering and transmitting the same standard timing signals to various terminal devices. The application realizes complete localization and autonomous control of the timing system, completely discards the satellite real-time time service architecture, uses Beidou as a low-frequency calibration reference, fundamentally avoids satellite interference, deception and loss of lock risks, and greatly improves the timing security level of key infrastructure.

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.

The invention relates to the field of data processing, in particular to a public transport operation management scheduling system, and solves the problems that an existing intelligent public transport scheduling and management system cannot analyze urban buses in the driving process, so that the subsequent departure condition of the urban buses is scheduled, and the service life of the urban buses is prolonged. The problems of poor riding environment and serious traffic jam due to the fact that the driving route of the city bus cannot be analyzed and the form route of the subsequent city bus is changed are solved. The system can monitor the congestion degree of urban buses in real time, perform early warning and scheduling in advance, provide a comfortable riding environment and safe travel experience for passengers, reduce potential safety hazards caused by carriage congestion, monitor the congestion condition of driving routes in real time, perform early warning and change in advance, improve the punctuality of the urban buses, and improve the driving safety of the urban buses. The travel experience and satisfaction degree of passengers are improved, and the operation efficiency of public transportation is improved.