212 results about "Arrival time" patented technology

The invention relates to the technical field of intelligent prediction, and discloses an emergency resource reserve intelligent prediction system and method based on a graph neural network, and the system comprises a space-time diagram construction module which collects port, berth, channel segment, emergency warehouse and ship information, passing time window information and emergency information, and constructs an event flow heterogeneous space-time diagram; the backbone screening module is used for screening backbone sub-graphs and setting a relation feature conversion rule and a time feature representation rule; the graph memory updating module is used for updating node and edge features; the multi-task prediction module is used for outputting quantile demand prediction, reachability scores, transportation timeliness and safety stock threshold values; the consistency constraint training module is used for executing consistency constraint training; the inventory allocation decision-making module is used for generating allocation distribution quantity and outputting predicted arrival time; and the berth time window recharging module is used for generating a berth operation time window and recharging the actual arrival time. According to the invention, emergency resource demand prediction, inventory threshold calculation and allocation and berth operation linkage decision are realized.

The invention relates to a medical-seeking registration appointment method and system and a medium, and relates to the technical field of medical information services. The method comprises the following steps: recommending a doctor and a corresponding doctor-seeing date to a user on the basis of registration information including a doctor-seeing department and the severity of an illness state of the user, determining doctor-seeing time and hospital arrival time of the user on the doctor-seeing date on the basis of the doctor-seeing date selected by the user and a doctor-seeing time determination condition preset by a system, and sending doctor-seeing information to a user terminal. In the process, the doctor is recommended based on the severity of the illness state, so that the waste of doctor resources can be reduced, and the doctor-seeing time and the hospital arrival time of the user at the doctor-seeing date are determined based on the doctor-seeing, the doctor-seeing date and the doctor-seeing time determination condition, so that the doctor-seeing efficiency is improved, and the doctor-seeing queuing time is reduced.

The invention relates to a material weighing acceptance technology, and relates to an intelligent construction site unattended reservation weighing material acceptance system. According to the method, the estimated arrival time is calculated according to the initial position of the reserved vehicle, the initial wagon balance number is allocated to the reserved vehicle, and when the reserved vehicle is about to arrive, the finally allocated wagon balance number of the reserved vehicle is determined according to the current use conditions of all wagon balances of a construction site; obtaining the position deviation degree of the reserved vehicle after driving into the wagon balance, judging whether the position of the vehicle needs to be adjusted or not, recording the total weight of the adjusted reserved vehicle and associating the total weight with the identified license plate number, obtaining the weight of the unloaded reserved vehicle, and calculating the net weight of materials by combining the total weight of the reserved vehicle associated with the license plate number. The weight range is compared with the weight range of the reservation application, and corresponding acceptance processing is executed according to a comparison result; reasonable wagon balance resource allocation is realized, weighing congestion and congestion are reduced, weighing time consumption is shortened, weighing data and acceptance results are improved, and labor cost is reduced.

This logistics network management device 1100: calculates, for each vehicle 1300, based on the expected arrival time at a delivery destination location at which the vehicle will arrive after an expected arrival at a delivery origin location and also based on information about vacant period of each shared unit 1210 at the delivery destination location, a recommended arrival time, which is the arrival time at the delivery destination location for which the period from arrival at the delivery destination location until the start of a prescribed operation is shortest; calculates a recommended departure time from the delivery origin location; and, for each vehicle 1300, when the vehicle 1300 can arrive at a shared unit 1210 that can be used at the delivery origin location at a time at or before the recommended departure time, displays information indicating that the vehicle 1300 should arrive at the stated time at the shared unit 1210 that can be used at the delivery origin location.

The invention discloses a discrete service flow predictive digital triggering method and system under time delay constraint, and relates to the field of network service quality assurance, and the method comprises the steps: collecting an arrival time sequence, a packet length sequence, network state data and service level protocol parameters of a plurality of discrete service flows; performing multi-scale dependency decomposition on the arrival time sequence, and predicting an arrival amount and a queuing length in a future time window; calculating and predicting a residual time delay budget in combination with the maximum tolerant time delay, and mapping the residual time delay budget into a digital triggering probability representing the scheduling urgency degree; and further fusing the stream importance index to determine the scheduling weight, and dynamically adjusting the service sequence and resource allocation of the edge nodes according to the scheduling weight. Therefore, advanced scheduling triggering of multiple paths of service flows is realized, and the time delay guarantee capability and the resource scheduling efficiency are improved.

The invention relates to the technical field of anti-unmanned aerial vehicle detection, and discloses an unmanned aerial vehicle pilot grabbing method, electronic equipment and a computer readable storage medium, the method comprises the following steps: obtaining signal detection results of n detection equipment, n being a positive integer greater than 2; judging whether the n detection devices all detect the first target unmanned aerial vehicle or not according to the signal detection result; if the n detection devices all detect the first target unmanned aerial vehicle, the arrival time of a target remote control signal arriving at each detection device is obtained, n first arrival time is obtained, and the target remote control signal is used for indicating flight of the first target unmanned aerial vehicle; and according to the n first arrival times and the position information of the n detection devices, determining the position information of an emission source of the target remote control signal, so as to determine the position of the emission source as the position of a target pilot for controlling the first target unmanned aerial vehicle, and completing the position grabbing of the target pilot. Through the above mode, the method achieves the timely positioning of the black flying hand.

A system for estimating a delivery is disclosed. The system generates delivery time predictions, and generates a confidence score for each time prediction. The system also generates a publication determination for each particular time prediction based on the confidence score associated with each particular time prediction. The publication determination indicates whether to publish the particular time prediction or to not publish the particular time prediction.

This invention discloses a collaborative scheduling and path planning method for warehousing and logistics robot clusters, relating to the field of path coordination and planning technology. When constructing a directed topology graph, this method records the passage cost value and initializes a second-level occupancy record table to achieve accurate querying of the number of nodes occupied per second. When assigning tasks, if the starting node is full, the start is delayed to eliminate congestion at the starting point. During path generation, nodes are filtered based on their passage cost value, and nodes that are full at the arrival time are excluded to avoid leading to congestion points. When updating the record table, the robot number is entered at the arrival time, quantifying the occupancy into second-level data. During congestion analysis, the capacity of nodes with density ratios exceeding a threshold is temporarily reduced to shrink the number of occupants in advance. During traffic heat analysis, the passage cost value of the edges traversed is increased according to the robot type and loading level, so that subsequent paths bypass heavily loaded edges. During conflict resolution, temporary capacity is used to determine conflicts, and paths are regenerated according to the adjusted passage cost value, staggering spatiotemporal trajectories to reduce overlap.

Methods and apparatuses for providing an estimated time of arrival at a point of interest (POI) in a navigation system are described. According to one embodiment, the method includes collecting driving data and trajectory data, generating parking time data of the vehicles by deriving times required for the vehicles to park based on the trajectory data and integrating the times required for the vehicles to park, deriving travel times of the vehicles traversing links leading to an entrance to the parking lot based on the driving data, calculating the vehicles' entry wait times by aggregating the travel times, and generating entry wait time data by integrating the vehicles' entry wait times, and deriving estimated times of arrival of the vehicles by summing the times required for the vehicles to park and the entry wait times, and generating estimated arrival time data by integrating the vehicles' estimated times of arrival.

This application relates to an elevator control method, device, and system; the method includes: when receiving a first hall call task, determining a first waiting time based on the login time of the first hall call task and the arrival time of the elevator responding to the first hall call task; and if a second hall call task is received while the elevator is performing a door closing action, comparing a time threshold with the first waiting time to control the elevator to perform a door reopening action or continue performing a door closing action; this method can improve the elevator's transportation efficiency while also enhancing the user's elevator riding experience.

This application provides a method and apparatus for detecting covert communication behavior, relating to the field of network security technology. On one hand, the method uses a dynamic time warping algorithm to determine the minimum cumulative distance between the packet length-timestamp sequence and the standard response traffic template sequence in the packet length dimension. This quantifies temporal misalignment differences, thus solving the problem of missed detection caused by the lack of temporal analysis capabilities in traditional methods. On the other hand, based on the arrival timestamp of the packet length-timestamp sequence, the method determines the differential entropy and the maximum time span of sudden events. The differential entropy can amplify the minute temporal fluctuations caused by the mechanical packet sending of tunnel traffic, while the maximum time span can identify deliberately lengthened idle periods in tunnel traffic. Combining these two methods can accurately capture gradual covert communication such as slow tunnels. Therefore, this method can improve the accuracy of detecting covert communication behavior.

A notification device includes: an acquisition unit that acquires a destination to which a mobile body moves and an estimated arrival time of the mobile body arriving at the destination; a meeting determination unit that determines whether or not a user boarding the mobile body participates in an electronic meeting during movement of the mobile body; and a notification control unit that compares, when the user participates in the electronic meeting during movement of the mobile body, a scheduled end time of the electronic meeting with the estimated arrival time, and controls the notification unit to execute notification based on a comparison result.

The application discloses a kind of arrival time estimation method, device, storage medium, electronic equipment and product, involve artificial intelligence technical field, the present application can be applied to blockchain, cloud technology, map and Internet of Vehicles etc. field, the method comprises: obtaining estimated arrival time, estimated arrival time is obtained using preset estimation model estimation;Obtain residual network parameters, residual network parameters are obtained by periodically training residual calculation network according to the travel data of user via candidate route;For scheduled departure time feature extraction processing, obtain scheduled departure time feature;Using residual calculation network, residual network parameters and scheduled departure time feature are based on residual calculation network parameter and scheduled departure time feature and carry out residual calculation processing, obtain arrival time residual;According to estimated arrival time and arrival time residual, obtain route arrival time.The present application can effectively improve the estimation effect of arrival time without adjusting preset estimation model, improve user experience.

This application discloses a rail vehicle maintenance method and system, relating to the field of rail transit technology. The rail vehicle maintenance method includes: classifying rail vehicles into high-frequency passenger-carrying trains and low-frequency non-passenger-carrying trains according to their operational characteristics; wherein, low-frequency non-passenger-carrying trains exhibit time parameters reaching maintenance thresholds before mileage parameters within their maintenance cycle; identifying mileage-related components and time-related components in the low-frequency non-passenger-carrying trains; and, during each maintenance stage of the low-frequency non-passenger-carrying train's entire life cycle, performing standard maintenance on all time-related components and lower-than-standard maintenance on the corresponding mileage-related components. This rail vehicle maintenance method solves the problem of significant waste caused by performing routine maintenance on rail vehicles with short mileage and early arrival times according to standard train maintenance procedures.

This invention belongs to the field of port operation and management technology. It provides a port project full-process decision management system based on big data analysis, comprising: verifying and analyzing multiple historical estimated arrival times using a hypothetical moving window; determining the optimal moving window using the moving window averaging method and Euclidean algorithm; obtaining a model correction factor based on historical estimates and actual times; obtaining the estimated arrival time; comparing it with the waiting-to-departure time; if a mismatch is found, removing the original stable connecting vessels; reselecting vessels based on connection matching degree and re-evaluating; until a vessel with a time-dimensional connection match is found within the connecting vessel sequence. By optimizing the moving window and introducing correction factors, the accuracy of arrival time prediction is improved, avoiding delays due to time mismatches and effectively improving port vessel scheduling efficiency. This invention solves the problem of how to accurately predict the arrival time of stable connecting vessels and determine whether it matches their waiting-to-departure time.

The embodiment of the application provides a kind of mining behavior detection method, wherein the method comprises: the first computer equipment obtains data packet arrival time sequence, the data packet arrival time sequence includes the time that at least one data packet from target equipment arrives second computer equipment;The first computer equipment obtains block arrival time sequence, and the block arrival time sequence includes the time that at least one mining task arrives mining equipment;The first computer equipment judges the approximate degree of data packet arrival time sequence and block arrival time sequence in time;If the approximate degree is greater than or equal to the first threshold value of preset, determine that the target equipment is suspected mining equipment.The technical scheme of the application can be free from manual operation and maintenance, cover multiple mining scenarios, and can protect user privacy, with strong versatility.

The invention relates to the technical field of port logistics optimization, in particular to an outer container truck arrival operation time planning service and optimization method based on flexible reservation, which comprises the following steps: constructing a demand response service mode based on an outer container truck voluntary participation principle, and dividing outer container trucks into vehicles accepting service and vehicles not accepting service; submitting data information by the vehicles accepting the service, predicting information of the vehicles not accepting the service in combination with historical data, integrating multi-source dynamic data, and constructing a dynamic decision database; the demand response service mode is used for generating a personalized arrival time suggestion for each served vehicle on the basis of the dynamic decision database; and taking the minimum total turnover time of all the external container trucks at the port as a target function, establishing a mathematical optimization model, and realizing collaborative optimization of the system and individual targets. According to the method, on the premise of respecting individual preferences, the minimization of the total turnover time of all the outer container trucks at the port is realized, and finally the collaborative improvement of the overall operation efficiency of the system and the individual satisfaction of the outer container trucks is achieved.

The invention discloses an intelligent scheduling method and system for port energy-traffic bilateral flexible resources, relates to the technical field of port scheduling, and aims to solve the problem that the resource utilization efficiency is reduced due to the fact that an existing port scheduling system cannot realize collaborative optimization of energy and traffic resources when facing equipment performance fluctuation and traffic flow imbalance. The method comprises the following steps: sensing and evaluating operation completion time information of equipment in real time and generating a dispatching instruction of a transport vehicle; and acquiring operation completion time information updated in real time and an arrival time adjustment request of the transport vehicle when the operation equipment executes the operation task, and generating an adjustment instruction of the transport vehicle according to the updated operation completion time information and the arrival time adjustment request. The problem of mismatching of energy and traffic resources caused by information lag and lack of flexible adjustment capability of a traditional scheduling system is effectively solved, and the overall operation efficiency and the resource utilization rate of a port are remarkably improved.

According to the network switching method of the Internet of Things equipment, the estimated arrival time of the logistics equipment arriving at the target position is calculated based on the current position information, the real-time vehicle speed and the target position, and the logistics equipment can be switched according to the estimated arrival time and the section division between the current position information and the target position. According to the method, a pre-loading strategy of an operator configuration file is formulated, the network switching opportunity can be dynamically pre-judged based on the real-time position, speed and advancing path of logistics equipment, and the configuration file is pre-loaded in advance by utilizing a satellite link, so that weak signal interference is avoided, and smooth switching of cross-operator networks is realized.

This invention discloses a container shipping route analysis method based on artificial intelligence analysis, belonging to the field of shipping intelligence technology. The method includes: collecting route operation data during the operation and management of a target container shipping route, performing time alignment and normalization processing to generate an actual route event sequence; embedding route governance rules into corresponding route segments based on the actual route event sequence to construct a route governance semantic representation; outputting the arrival time series of each port of call and the reliability evolution characteristics as the route progresses through an artificial intelligence analysis process based on the route governance semantic representation; and generating a counterfactual route trajectory sequence using the arrival time series and reliability evolution characteristics. This invention reconstructs the theoretical evolution process of a shipping route under given operational constraints by constructing a counterfactual route trajectory with route governance semantics, providing a predictable and alignable expressive basis for the operational state of the route in both time and space dimensions.

Various aspects of the present disclosure relate to a method and apparatus of supporting burst arrival time (BAT) reporting. An exemplary UE includes: at least one memory; and at least one processor coupled with the at least one memory and configured to cause the UE to: receive, a request of BAT of a QoS flow, from a network side; determine a BAT of the QoS flow, wherein the BAT of the QoS flow is a time value relative to a boundary of a system frame number (SFN); and transmit the determined BAT of the QoS flow to the network side.

This application discloses a data management method and a cloud management platform based on a cloud management platform, which can improve user experience. The method includes: a user sending a data processing request to the cloud management platform; the cloud management platform obtaining the arrival time of the data processing request in a first period and notifying the primary storage node to provide the arrival time of the data processing request in a second period; the cloud management platform selecting a third period with the latest end time from the first and second periods; the cloud management platform notifying the primary storage node to process the user's data and synchronizing the processed data to the backup storage node; and the user sending a data access request to the cloud management platform; the cloud management platform determining whether the arrival time of the data access request is earlier than the end time of the third period; if so, the cloud management platform notifying the backup storage node to return the data before processing; otherwise, the cloud management platform notifying the backup storage node to return the processed data to the user.

An information transmission method and apparatus, a terminal, and a network-side device. The information transmission method in embodiments of this application includes: obtaining, by a terminal, arrival time advance information, where the arrival time advance information includes an arrival time advance of a target picture frame, and the arrival time advance is an advance of an actual arrival time of the target picture frame relative to a target arrival time; and sending, by the terminal, the arrival time advance information to a network-side device.

This invention belongs to the technical field of logistics management, specifically relating to a method and system for predicting the arrival time of goods in transit based on real-time environmental data. It addresses the technical problems of existing methods, such as difficulty in quantifying uncertainty and neglecting real-time data quality and vehicle status. The prediction method includes: S1, calculating Shannon entropy based on the prior probability distribution of arrival time at the current moment; S2, adjusting the basic transition probability matrix to obtain a spatiotemporally correlated transition probability matrix; S3, generating evidence update weights by comprehensively considering the quantification index of prediction uncertainty and the credibility of observational evidence; and S4, obtaining the posterior probability distribution of arrival time at the current moment through Bayesian updating. This invention can improve the accuracy of arrival time prediction in complex traffic environments.

Systems, methods and / or computer program products predictively automating configurations of modular service zones servicing physical assets, maximizing reuse of service zone (s) and optimizing time for servicing a plurality of physical assets. Digital twin models of physical assets are classified, and arranged into workflows for the service zones, sequencing services performed on physical assets arriving at service centers and preparing service zones based on types of services requested, the estimated time of arrival and similarities between classifications of different digital twins of physical assets. Based on sequences of the workflow, arrival times of physical assets and overlap between parts, tools, machines, etc., within various service zones, service center coordinates robotic systems to arrange service zones in a manner that minimizes waiting time between services, maximizes the number of physical assets repaired within a period of time and reduces rearrangement of service zones between the services provided to different physical assets.

The invention relates to the field of freight, in particular to a freight order chain type pushing method and device, equipment and a storage medium. The method comprises the following steps: in response to a selection instruction of a user for an initial order, obtaining a final position and predicted arrival time of the initial order; retrieving from an order pool according to a preset space-time matching rule by taking the end point position as a retrieval origin to generate at least one order sequence, the order sequence including the initial order and at least one subsequent order; wherein the distance between the starting point position of the first order and the ending point position of the second order is smaller than a set threshold value, the starting time of the first order is not earlier than the estimated arrival time of the second order, and the first order and the second order are orders in the same order sequence. The second order is a preorder of the first order; and pushing order information to the user based on the order sequence.

In accordance with an embodiment, there is provided a method for providing flight path using a flight path providing apparatus, the method comprising: calculating at least one candidate departure time and at least one candidate arrival time based on a flight service request including a desired departure time, a departure location, and an arrival location; generating at least one candidate flight path based on the at least one candidate departure time and the at least one candidate arrival time; generating at least one candidate flight information including a flight path, a departure time, and an arrival time corresponding to the at least one candidate flight path; and determining recommended flight information from among the at least one candidate flight information based on at least one of the flight path, the departure time, and the arrival time included in the at least one candidate flight information.

This invention discloses a periodic synchronous position interpolation control method and system for servo drives, relating to the field of servo control technology. The method includes: receiving synchronous position commands at a fixed bus cycle and recording their theoretical / actual arrival timestamps; converting the commands into position increments and storing them in a buffer; calculating a buffer saturation index reflecting the supply and demand balance of the command stream in real time; dynamically calculating and smoothly adjusting the next position loop sampling cycle based on this index and its changing trend using a feedback control model; and triggering position loop processing with the adjusted cycle. This invention, by monitoring the command stream status and adaptively adjusting local processing, compensates for the effects of master-slave clock deviation and network jitter, ensuring that the position loop always receives continuous and uniform command input. This achieves high stability and high precision motion control under bus communication, improving the system's anti-interference capability and synchronization performance.