475 results about "Time schedule" patented technology

The invention discloses a simulation optimization method for a digital twin factory. The simulation optimization method comprises the steps of obtaining workshop equipment data and performing classified storage; generating a task priority and resource configuration rule based on the basic operation data of the equipment; constructing a three-dimensional space model by using a 3D modeling tool, and creating a digital twinborn simulation factory model in combination with real-time production data; constructing a dynamic planning state space and a decision variable, and determining the resource use time, the resource allocation position and the specific quantity of each task; according to the resource allocation scheme and the task chain dependency relationship, evaluating a risk value of a task node in combination with historical equipment fault data; and based on the influence range report of the production fault chain, evaluating a task execution sequence and adjusting resource allocation and task time arrangement. According to the method, the influence of faults on a production plan and resource waste are reduced, the stability and adaptability of a factory system are remarkably enhanced, and the reliability and fine management level of overall production are improved.

The invention relates to the technical field of information data processing, in particular to a building engineering project data processing system, which comprises a resource demand analysis module, an engineering project-based human resource management and material demand plan, man-hour record and material inventory data collection module, timetable and resource use record arrangement module, resource utilization rate and gap calculation module and a data processing module, a resource status report is generated, and a resource supply status and potential shortage are determined based on the resource status report. According to the invention, through comprehensive data collection and dynamic analysis, the resource management efficiency of the construction engineering project is improved. Updating resource utilization rate and gap information in real time allows for fast and accurate response to resource changes, reducing resource waste and project delay risks. The resource allocation efficiency and the cost simulation ensure that the resource use reaches the optimal economic benefit, and meanwhile, the capability of the project for adapting to uncertain factors is improved. Time conflicts in resource allocation are reduced through risk assessment, and the continuity of project execution is optimized.

A method and system for generating a schedule of tasks for a group of machines to perform in a factory. The method and system are particularly applicable in semiconductor manufacturing in manufacturing semiconductor wafers. A first method is used to generate a schedule for the group of machines comprising allocating one task or a time-ordered list of several tasks to each machine in a group of machines. The schedule is then optimised using a second method.

The invention provides a multi-modal collaborative delivery scheduling method, which comprises the following steps of: constructing a dynamic environment model according to topographic data and traffic condition data, extracting delivery demand characteristics from real-time order information, and splitting a complex order into a plurality of sub-task units by adopting a task decomposition technology to obtain a decomposed sub-task set; extracting sub-task features of adjacent areas and similar time windows from the optimized sub-task sequence, performing clustering analysis on the sub-tasks by adopting an intelligent combination technology, determining space-time relevance among the sub-tasks, and generating a preliminary sub-task aggregation group; and calculating the path cost and the time cost of each delivery batch according to the final resource allocation scheme and the sub-task aggregation grouping, and carrying out optimization iteration on the batch path by adopting a genetic algorithm to obtain a time table and a route plan of the efficient delivery batch.

One example method includes accessing at a Time-Aware Scheduler (TAS) of a Time-Sensitive Networking (TSN) network a plurality of data packets, where each data packet includes a data packet priority that defines an order for transmitting the plurality of data packets by the TSN network; grouping the plurality of data packets into a cluster according to the data packet priorities, the cluster identifying a first TSN network state; applying a first machine-learning model to the cluster to determine a TAS cycle policy that defines a timing schedule for data packet transmission in the TSN network; and providing the TAS cycle policy to components of the TSN network.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided generative task scheduling, include: obtaining a dataset describing a schedule of one or more projects to be rescheduled, the dataset including tasks to be scheduled, resource requirements, and dependencies between or among the tasks; generating variations of the schedule, each of the variations having different characteristics that determine for the tasks in the schedule when each task is scheduled in time, and each of the variations satisfying the resource requirements and the dependencies; selecting among the different characteristics for the tasks in the variations of the schedule to form a revised schedule of the one or more projects; and providing the revised schedule of the one or more projects for display to a user or for output to manage the one or more projects.

Systems and techniques for optimizing hub resources and maximizing hub throughput based on dual-stream resource optimization (DSRO). In embodiments, a first flow of units arriving to the hub from customers to be loaded into departing trains is represented as a consolidation stream, and a second flow of units arriving to the hub via arriving trains to be unloaded and delivered customers is represented as a deconsolidation stream. A time-space network is generated for each of the consolidation and deconsolidation streams, and included in a DSRO model. Each stage of the streams is represented as a node of the corresponding time-space network in the DSRO model, which also models resource interdependence between the streams. An operating schedule based on the DSRO model optimizes the resources over a planning horizon to ensure they are allocated to both streams fairly so as to maximize the unit flow during operations.

A hierarchy of procedures sets pacing schedules for trains operating in a railroad network (102). At a train level (500) of the hierarchy, a network coordinator (141) sends time windows (504) to a train (112E) indicating when the train should arrive at or depart from a siding along its track (130). The time windows provide flexibility for the train to adjust its pace as needed, for example, to conserve fuel. At a territory level (700), if the train (112E) indicates that it cannot comply with the time windows, the coordinator (141) evaluates and adjusts pacing schedules at least for other trains (112W) sharing the same track (130) in the territory (104) to avoid conflicts, again providing time windows (708) for the trains to adjust their pace as needed. At a network level (800), the coordinator (141) ensures that pacing schedules adjusted for a territory (104) also meet time windows set for trains crossing a boundary (108) into another territory (106, 110) in the network (102).

The invention discloses a segmented self-destruction rain enhancement and hail suppression rocket controlled by a time schedule controller, and relates to the technical field of artificial rain enhancement and hail suppression rockets. The device comprises a catalysis bin assembly, an engine assembly and an empennage assembly, and the catalysis bin assembly, the engine assembly and the empennage assembly are connected through reducing sleeve assemblies. An explosion self-destruction device is adopted as a safe landing device, a segmented self-destruction device is arranged in a rocket body engine and a tail segment assembly in advance, a time schedule controller outputs an ignition signal according to binding information, an empennage assembly, an engine assembly and a catalytic bin assembly are exploded into floccules not larger than 100 g and fall onto the ground, self-destruction of all the assemblies is reliable, and the safety of landing is guaranteed. The rocket body wreckage preventing device can effectively reduce damage of rocket body wreckage to personnel, buildings, farmlands, livestock and the like, any one of the ignition loops of the time schedule controller does not affect performance of other loops during working, fire spurting is avoided, space is saved, and the function is reliable.

Provided is a method for determining a modified timetable (13) for several rail vehicles when at least one disruption to an original timetable (4) is present, wherein a timetable for each rail vehicle contains a time-distance definition (T1.1, T2.1,...), the method comprising: Based on the original timetable (4), cyclically (18) performing a heuristic optimization (5) to generate a first timetable (6); storing time-distance definitions (7, 9) for one or more rail vehicles generated during the cyclically performed heuristic optimization (5); formulating (10) a QUBO task based on the stored time-distance definitions (9); solving (16) the QUBO task to generate a second timetable (11); comparing the first timetable (6) and the second timetable (11) to select the modified timetable (13).

The embodiment of the invention discloses a server access control system and application, and relates to the technical field of server security management, and the system comprises a time scheduling module, a firewall control module, a user authority management module, an emergency access exception module and a log recording and auditing module. According to the invention, comprehensive, flexible and intelligent management of the access authority of the server is realized, the time scheduling module enables the system to automatically adjust the access authority of the server according to a preset time rule, and the firewall control module ensures the security of the server by dynamically managing the opening and closing of a network port in combination with an advanced protection strategy. The emergency access exception module processes emergency access in a non-working time period, and the log recording and auditing module realizes fine management of the access authority of the server by recording log information of a key event, so that the problems that the prior art depends on complex script maintenance, is not flexible and intelligent enough, is high in cost and is not easy to maintain can be effectively solved.

The AUTOBUILD schedule system / module gathers project design data information and basic schedule constraint goal information and separates and categorizes all parts and pieces from large pieces of equipment and assembly systems to the smallest connection materials such as closure trim, screws, nails, adhesives etc. From a basic construction logic, the AUTOBUILD schedule system / module assembles the initial schedule for the project. This initial schedule is then reevaluated by its internal system taking into several factors, including (1) an initial review and resequencing from a human professional; (2) information received from vendors bidding the project; and (3) input giving further accurate details of quantities required, actual production and delivery dates, weather, and / or other environmental factors, etc. The AUTOBUILD schedule system / module then tracks the actual project progress utilizing information and status of contractual commitments, procurement approvals, fabrication, and delivery.

Systems, methods, and devices for managing target wake time (TWT) schedules may include a first device of a wireless local area network (WLAN) which receives information relating to drift of a start time of a target wake time (TWT) schedule from a second device of the WLAN. The first device may modify a start time for a subsequent TWT service period, according to the information relating to the drift of the start time from the second device.

The invention relates to the technical field of time schedule controllers, and discloses an on-off control method of a time schedule controller, which comprises the following steps: electrically connecting the time schedule controller to a power supply, and starting the time schedule controller through an ON / OFF key to enable the time schedule controller to be in a standby state; then receiving a control mode selected by a user and input control parameters; then, a corresponding injection molding signal input mode is determined according to the type of an injection molding machine, and a proper output voltage form is selected according to the type of an electromagnetic valve; and finally, after an injection molding signal sent by the injection molding machine is received, the time sequence controller automatically controls opening and closing of the pouring gate based on the selected control mode and parameters. Particularly, the time schedule controller collects environment temperature data in real time based on a temperature sensor, and dynamically adjusts the frequency of a clock crystal oscillator to compensate clock drift, so that the stability and accuracy of on-off control of the time schedule controller are ensured.

The invention provides an operation and maintenance management method and platform for a photovoltaic power generation system, and relates to the technical field of photovoltaic power station operation and maintenance, and the method comprises the steps: obtaining a to-be-processed operation and maintenance task set and an idle operation and maintenance personnel set; scheduling optimization is carried out on operation and maintenance tasks through an improved NSGA-II algorithm, a multi-objective optimization problem of total operation and maintenance cost minimization, total task completion time minimization and response time minimization is established, multi-objective optimization solution is carried out by adopting a clustering enhancement coding structure, a mixed population initialization strategy and a probability weighting genetic operator, and a Pareto optimal solution set is output; and selecting a final scheme from the Pareto optimal solution set, converting the final scheme into an executable format, and outputting a complete operation and maintenance scheduling scheme comprising a personnel scheduling list, a path planning instruction, a material and tool list and a total time schedule. According to the invention, multi-objective collaborative optimization of the operation and maintenance cost, the response time and the execution efficiency can be realized.

A system and method are disclosed for executing and monitoring changes in a warehouse plan. The method includes receiving an initial warehouse plan, receiving a changed warehouse plan, receiving user input defining a scope, capturing, via sensors, real-time data to determine execution changes, identifying warehouse execution changes based on the captured real-time data, outputting an execution changes report, using the received initial warehouse plan, the received changed warehouse plan, the identified warehouse execution changes and the defined scope of warehouse analysis to identify changes in the initial warehouse plan and generate required tasks, generating a task and changes report for tasks based on the identified changes, receiving warehouse information, determining a task priority and task schedule, outputting a dynamic task sequence and task schedule, beginning real-time electronic monitoring of user performance, and in response to the monitoring of user performance, changing the dynamic task sequence and task schedule.

The disclosure provides an approach for automatically scheduling resource-aware software-defined data center (SDDC) upgrades. Embodiments include receiving, via a user interface (UI), user input indicating one or more constraints related to automatically scheduling a plurality of upgrade phases for upgrading components of a plurality of computing devices across a plurality of SDDCs. Embodiments include receiving, via the UI, a user selection of a first UI control that, when selected, initiates an automatic assignment of the plurality of upgrade phases to particular time slots based on the one or more constraints. Embodiments include displaying, via the UI, a depiction of a schedule for the plurality of upgrade phases based on the automatic assignment. Embodiments include displaying, via the UI, a second UI control that, when selected, causes the automatic assignment to be finalized and a third UI control that, when selected, initiates a new automatic assignment.

Provided may be a computer system for payroll management wherein the stored program instructions cause the processor to correlate each of a plurality of employees to one of a plurality of scheduled positions and a payroll type; determine a scheduled start time, a scheduled end time, a scheduled location-in location, and a scheduled location-out location based on a work schedule for each of the employees; receive, via an employee device, a first scan time and a clock-in time; determine an actual clock-in location based on a clock-in geolocation generated by the employee device upon the generation of the clock-in input; receive, via the employee device, a last scan time and a clock-out time; determine an actual clock-out location based on a clock-out geolocation generated by the employee device upon the generation of the clock-out input; and determine a location-in distance and determine a location-out distance.

A method, computing device, and non-transitory machine-readable medium for generating and maintaining snapshots. An image (snapshot) of a volume is generated for a point in time that aligns with a base schedule time in a base schedule. The image includes metadata pointing to data blocks stored on the volume at the base schedule time and is designated for use as a base snapshot of the volume at the base schedule time. In response to determining that the base schedule time aligns with a supplementary schedule time in a supplementary schedule, the image can be further designated for use as a supplementary snapshot of the volume at the supplementary schedule time. Restoring data corresponding to the supplementary schedule time includes computing all the deltas between the base snapshots created between the supplementary schedule time and an immediately preceding supplementary schedule time in the supplementary schedule.

A method for triggering an event reactive delivery schedule adjustment. The method detects one or more events leading to a delay in a delivery schedule based on integrating IoT sensor data and real-time events. The method further triggers a reschedule event based on the detected one or more events leading to the delay in the delivery schedule. The method further determines availability and location of a user to receive a delivery, based on the reschedule event, and reschedules or cancels the delivery based on the determined availability and location of the user. The method notifies the user about any changes to the delivery, based on user preferences.

The invention relates to the technical field of scheduling management, in particular to a scheduling management method and system based on live broadcast data, and the method comprises the following steps: based on live broadcast activity key data, including the number of viewers, comment frequency, like and sharing times and performance indexes of live broadcast personnel, the indexes include an interaction quality score, audience feedback information and a conversion rate; and executing data cleaning and integration processing to obtain a live broadcast data integration set. According to the invention, high-frequency updating and real-time analysis are carried out through live broadcast activity key data, so that the scheduling can be dynamically adjusted to meet the actual work requirements, and the ARIMA model is adopted, so that the prediction accuracy is enhanced, the scheduling decision has perspectiveness, the human resource allocation is optimized, and the scheduling efficiency is improved. And the clustering analysis helps to accurately identify the performance modes of different live broadcast personnel, and optimizes the working schedule according to the modes, thereby ensuring that the most suitable personnel are deployed in the time period with the highest audience activeness, and improving the employee satisfaction degree and the audience service quality.

To reduce time required for scheduling.SOLUTION: A schedule adjustment apparatus according to the present invention has a search unit, a schedule acquiring unit, a date and time extracting unit, and an output unit. The search unit searches for a schedule of a participant candidate from a participant candidate information database storing public information of an organization to which participant candidates for an event belongs. The schedule acquiring unit acquires a search result of the search unit as the schedule information of the participant candidate. The date and time extracting unit uses the schedule information to extract, as candidate time and date for the event, the date and time on which the participant candidate has no schedule among the desired date and time for the event designated by a host of the event. The output unit outputs information including the candidate date and time for the event.SELECTED DRAWING: Figure 3

To provide a work allocation device capable of optimizing, in response to a request, both the allocation of tasks to each worker and the scheduling of task start times to which each worker has been allocated.SOLUTION: A work allocation device comprises: an information acquisition unit which acquires information on the work time required by a worker to perform a task, the work cost incurred when the worker performs the task, and the workload imposed on the worker; an objective function generation unit which generates an objective function which uses, as parameters, values related to at least one of the work time, work cost, or workload, and which sets weights to be multiplied by the parameters; a task allocation unit which allocates the tasks performed by each worker so as to minimize or maximize the objective function; and an adjustment unit which adjusts the task start times of each worker so as to reduce the maximum task completion time by minimizing or maximizing a second objective function which uses, as parameters, values related to the task completion time of each worker.SELECTED DRAWING: Figure 1

The invention provides a virtual power plant two-stage joint optimization scheduling method and system for participation of a power market, and a related device, and the method comprises the following steps: 1, depicting the uncertainty characteristics of renewable energy sources, and obtaining a prediction error confidence interval; step 2, constructing a virtual power plant day-ahead scheduling model taking the maximum market income as a target; step 3, obtaining a day-ahead energy declaration curve and an energy storage operation strategy corresponding to the virtual power plant based on the obtained virtual power plant day-ahead scheduling model; 4, obtaining the actual output of the renewable energy in real time, and calculating the output deviation between the obtained actual output and the date energy declaration curve obtained in the step 3; 5, constructing a virtual power plant real-time scheduling model according to the obtained output deviation; 6, generating an interaction strategy between energy storage and a power grid according to the obtained real-time scheduling model of the virtual power plant; on the premise of guaranteeing the power supply stability of the system, the economic benefits of the virtual power plant participating in the power market transaction can be remarkably improved.

The invention provides an operation and maintenance work order management method and device based on budget management integration, and the method comprises the steps: obtaining work orders, and carrying out the classification according to the work order information, and the work order information comprises a work order type and a priority level; the method comprises the following steps: performing keyword extraction in combination with a TF-IDF statistical method, performing evaluation in combination with priorities, sorting work orders with high priorities according to overdue time, reasonably distributing the work orders to corresponding customer service personnel by using a time scheduling algorithm and keywords, and performing marking processing on the overdue work orders for work order positioning; secondary packaging and workflow micro-service based on an activiti framework are introduced into a micro-service architecture, and the workflow micro-service is used for managing the process of a work order and generating a to-be-processed list, so that process processing and real-time state tracking are realized; the work order needs to complete all circulation of the work order according to the process until the processing is completed, so that the operation and maintenance efficiency is improved, and the maintenance cost is reduced.

A method and apparatus comprising computer code configured to cause a processor or processors to obtain augmented reality (AR) data of a media component of at least one of audio and video; determine a plurality of days of a week and any of a number of occurrences of and an end date of a 5G media-streaming (5GMS) background data transfer (BDT); and control, based on an indication of a resource of a 5GMS media session handler (MSH) indicating any of a started, stopped, and teared-down state, transfer of a media stream of the media component by the 5GMS BDT according to a result of determining the plurality of days of the week and the any of the number of occurrences and end date.

To provide a system.SOLUTION: A system is provided, comprising means of collecting tasks to be executed, means of generating a task schedule, means of setting and notifying task reminders, and means of generating and obtaining a report at scheduled times of the tasks using generative artificial intelligence.SELECTED DRAWING: Figure 1

The invention discloses a display which comprises a backlight module and a time sequence controller. The backlight module comprises a target backlight block and an adjacent backlight block, and the adjacent backlight block is adjacent to the target backlight block. The time schedule controller is coupled to the backlight module and generates an initial work cycle of a target backlight block and an initial work cycle of an adjacent backlight block according to pixel data of the image frame. And generating an update work cycle of the target backlight block at least according to the initial work cycle of the target backlight block, the initial work cycle of the adjacent backlight block, the weight value of the target backlight block and the weight value of the adjacent backlight block. And the backlight module adjusts the brightness of the target backlight block according to the updating work period.

A computer-implemented method and system for creating a virtual channel based on linear broadcast content, is disclosed. The method comprises obtaining scheduling information and content information associated with a plurality of content items in a content schedule for two or more existing channels, the content information comprising at least an identifier for each content item; determining, for each timeslot in a predetermined time period, a ranking for each content item scheduled in each timeslot; selecting, for each timeslot, a content item based on the ranking; and creating one or more virtual channel schedules comprising at least the identifier for the selected content items from the two or more existing channels.