77 results about "Time limit" patented technology

The invention provides a building engineering project scheduling method based on multi-objective dynamic microphone optimization, and the method comprises the steps: firstly, building an optimization model with the minimization of the construction period, the minimization of the cost and the minimization of the resource fluctuation as targets, and enabling an objective function to cover the total construction period, the total cost and the resource fluctuation variance; secondly, designing an improved multi-target dynamic microphone optimization algorithm which ensures the feasibility and diversity of solutions through a dynamic elite retention mechanism, a mixed position updating rule, a three-layer constraint processing mechanism and a dual-threshold convergence monitoring system, so as to improve the robustness of the dynamic microphone optimization algorithm; and finally, solving the problem of the constructional engineering project by adopting a multi-target dynamic microphone optimization algorithm to obtain a construction project scheduling scheme. According to the method, on the premise of meeting resource limitation and task logic relations, the project construction period, the total cost and the stability of resource use are collaboratively optimized, automatic and intelligent optimization of the project scheduling process is realized, and the project management efficiency and scientificity are improved.

The invention discloses a model-based task instruction management method and device, a storage medium and equipment, and belongs to the technical field of deep learning. Obtaining text data of each task to be executed, wherein the text data comprises description information, demand information and supplementary information of the tasks and log information of historical tasks; extracting key information of each task from the text data by utilizing a large language model, wherein the key information comprises an emergency parameter, a target parameter, a resource demand parameter and a time limit parameter of the task; generating a corresponding task instruction based on the key information of each task by utilizing a generative model; combining similar task instructions in the plurality of task instructions; and performing priority ranking on the combined task instructions, and performing execution scheduling on the ranked task instructions. According to the method, the generation requirement of the high-complexity task instruction can be met, the execution efficiency of the instruction and the resource utilization rate are improved, and execution scheduling of the task instruction is adjusted in real time according to resources.

To provide a technique capable of promoting the use of services.SOLUTION: A program causes a computer to function as, in a game that uses location information indicating a location of a user in a real space, in which each location in the real space is associated with each location in a virtual space, replay control means for controlling a specific event to be replayed at a specific location if the user satisfies a predetermined condition within a predetermined time limit after the specific event associated with a specific object arranged at a specific location in the virtual space is cleared. The predetermined time limit begins when the specific event is arranged at the specific location and becomes available for play by the user.SELECTED DRAWING: Figure 4

The invention provides a contract management method based on intelligent auditing, and belongs to the technical field of contract management, and the method specifically comprises the steps: carrying out the determination of the error probability of different to-be-audited items based on the correlation coefficients of different correlation contracts, and when the error probability meets the requirement, carrying out the verification of the to-be-audited items. The method comprises the following steps: determining the project auditing difficulty of different to-be-audited projects through the auditing processing difficulty of different types of contracts of different to-be-audited projects, obtaining the auditing processing time limit of different to-be-audited projects, and determining the auditing processing sequence of different to-be-audited projects in combination with the project auditing difficulty and the error probability. And the different items to be audited are audited based on the audit processing sequence, so that the timeliness of the audit processing of the contract of the item is further improved.

The invention provides a fault root cause association method, device and equipment and a readable storage medium, and the method comprises the steps: converting the aging constraint of root cause association from a global fixed time window to differentiated configuration according to a network element-service combination pair; for each root cause association rule, an exclusive association aging window is defined in combination with respective network element-service context of two related faults, so that alarm omission or wrong association caused by a fixed window is avoided, and the accuracy of root cause analysis is remarkably improved; and the correlation aging window is used as a time rationality criterion for establishing the causal relationship, so that the root cause correlation is allowed to be constructed and a directional hierarchical causal chain is constructed only on the premise of reasonable propagation delay, and the restoration of a fault propagation path in a complex heterogeneous environment is realized.

A method performed by a control node for handling communication with a robot device. The control node determines a time limit for when a maximum tolerable deviation from a trajectory is reached, for at least two control command types. The at least two control command types include a joint-space command and a Cartesian-space command. The control node selects the control command type that reaches the time limit later, based on the determined time limit for the at least two control command types.

The invention discloses an intelligent retail order dynamic scheduling method based on multi-source data fusion, and relates to the technical field of order dynamic scheduling, and the method comprises the steps: determining the distribution position of a target order through monitoring the order position information change in an order transportation process, and analyzing a plurality of selectable paths and time limits based on a preset path model; firstly, whether an order is a time limit order is identified, and a transportable time limit is calculated; then, comparing the time limit required by the optimal path with the transportable time limit of the order, and judging whether the order is an abnormal order or not; if the order is an abnormal order, whether the transportation time limit can be prolonged through protection measures is judged, and finally whether delivery can be completed according to the optimal path is determined; the distribution risk caused by external interference is effectively prevented through fine management, and an intelligent and flexible scheduling solution with high adaptability is provided for logistics enterprises, so that the customer experience and satisfaction are greatly improved while the economic benefit is improved.

This sales data processing system includes a terminal device that performs a process of receiving a customer's operation during shopping to register product information, and comprises a time limit checking unit that performs a process of checking whether or not time limit information included in the product information exceeds the current date and time, at least once between a first operation that is an operation for registering the product information on the terminal device, and a second operation that is an operation for starting a process related to payment for the registered product.

The present invention discloses a method for power intelligent operation and maintenance path planning, which relates to the field of power operation and maintenance. At present, when implementing intelligent operation and maintenance, only the shortest path is aimed to be achieved. The present invention includes the following steps: obtaining work order data; processing work order information; judging whether the total workload exceeds the maintenance capacity of all workers during their working hours; if so, discarding a batch of faults considered impossible to complete; re-establishing a path planning model and adding time limit and capacity limit; solving the path planning model to obtain an optimal dispatching plan, outputting dispatching work orders, and obtaining the power intelligent operation and maintenance path. According to the present technical solution, considering the fault urgency degree and distance factors comprehensively, the faults with high urgency degree are preferentially solved; appropriate workloads are arranged for each maintenance worker; according to the working hours, location and distance of the staff, the dispatching of embarrassing-time-consuming or excessive-total maintenance work is avoided, so that the work tasks of each worker are scientific, reasonable and feasible.

To provide a gaming machine that can improve the enjoyment of the game. [Solution] The specific feature effect is an effect in which the game ball may enter a designated area within a predetermined time limit, resulting in an entry result, or the game ball may not enter the designated area within the time limit, resulting in a non-entry result. The effect is not one in which the movement of the game ball is forcibly manipulated to result in either an entry result or a non-entry result, and the game machine is characterized in that it is possible to execute a feature entry effect that may occur when the specific feature effect results in an entry result, but may not occur when the specific feature effect results in a non-entry result.

The invention discloses a claim settlement case distribution method and system based on RPA. The method comprises the step of simulating manual operation to log in a system claim settlement platform through an RPA robot. According to the method, the RPA simulation login and paging query merging technology is adopted, so that the time consumption of manual login, case query and data merging operation is shortened, meanwhile, manual operation errors are avoided, and the accuracy of analysis of fields such as case numbers and case reporting time is ensured; a fairness algorithm dynamically counts the number of personnel cases and preferentially distributes the number of personnel cases to the least load personnel, and the pain point of'busy and idle non-uniformity 'is thoroughly solved by combining processing time comparison and a random polling mechanism; the effect monitoring module generates a fairness report per hour, and when the processing time is lower than a threshold value, the strategy weight is automatically adjusted to form a'monitoring-evaluation-tuning 'dynamic closed loop, so that the average processing time is improved, and the requirements of workers are met.

The application belongs to the technical field of process control, and particularly relates to a multi-spindle machining task dynamic distribution method and system, which comprises the following steps: obtaining running state data of each spindle, determining a load parameter and a fatigue risk parameter; determining an overloaded spindle and a candidate replacement spindle according to the load parameter and the fatigue risk parameter; screening a target task meeting a process switching condition, matching a process requirement parameter with a carrying capacity parameter, and generating a task distribution relationship; determining a load balance index according to the task distribution relationship and completing adjustment; and determining a target spindle according to the target task distribution relationship and executing task distribution. The application can take into account the spindle load state, fatigue risk and task completion time limit, and improve the rationality of task distribution and the stability of system operation.

The invention discloses a social relation management method and device based on time delay. The method comprises the following steps: receiving a forgetting instruction of a user to a target friend; moving the target friend to the forgetting list and starting timing, updating the relationship state to be forgetting and unidirectionally hiding in the UI interface; monitoring whether the user sends a recovery instruction within a preset time limit; if a recovery instruction is received, recovering the friend relationship and UI display; and if the recovery instruction is not received and the time limit is expired, the permanent deletion operation is automatically executed. According to the embodiment of the invention, by introducing the reversible forgetting state with time delay buffering, the technical problems that the existing social relation deletion operation is stiff, irreversible and heavy in decision psychological burden are solved, the technical effects of operation regret period, emotion buffering and automation are realized, the user experience and the product stickiness are remarkably improved, and the user experience is improved. The method is suitable for a social application or system contact management module of various intelligent devices such as a smart phone and a tablet personal computer.

The present invention relates to an account management method and system based on big data, the method comprising: at every preset time period, counting the behavior information of all users within the time period, obtaining the user's location information, and constructing a behavior matrix according to the location information; arranging the behavior matrix according to time sequence, extracting all matrix data of the same account label based on the values ​​at the row and column positions, fitting the matrix data, and creating a behavior curve; clustering the accounts by time period based on the behavior curve to obtain similar accounts in each time period; the present invention counts the behavior information of all accounts at each moment in the form of a matrix, selects the matrix data of the same account in the behavior matrix at different moments, connects the matrix data and fits a curve, which can be used as an account feature; and then abstracts the complex behavior data into a curve, compares the curves, and classifies similar accounts into one category, the operation process is extremely convenient, and there is a lot of room for secondary development.

The invention relates to a filter screen filth blockage prompting method and device, a storage medium and an air conditioner, and the method comprises the steps that the standing duration of an oxygen generation module of the air conditioner in a preset time period is obtained, and the standing duration is the accumulated duration that the oxygen generation module does not run in the preset time period; the preset time period is a time period from power-on time of the oxygen generation module to specified time; obtaining the operation duration of the oxygen generation module during each operation in the preset time period; according to the operation duration of each time of operation, the equivalent use duration corresponding to the oxygen generation module is determined; determining a target duration according to the standing duration and the equivalent use duration; and outputting prompt information according to the target duration, wherein the prompt information is used for prompting filth blockage information of a filter screen of the oxygen generation module.

The invention relates to the technical field of resource planning, in particular to an intelligent logistics tracking system driven by the Internet of Things, which comprises a positioning time sequence module, an aging verification module, a path resource module, a path evaluation module and a path optimization module. According to the method, the cargo displacement distance and the transportation duration are synchronously associated to form a tracking state capable of reflecting the advancing rhythm change, and the remaining time is continuously calculated around the delivery time limit, so that the aging pressure sensing in the transportation process is realized; on this basis, unified verification is carried out on storage capacity loading and unloading waiting and passing time consumption of multiple connectable paths in combination with the current position, comparative analysis is carried out on path time occupation and remaining time, and meanwhile continuous cycle time consumption fluctuation evaluation is introduced, so that limited risks are dominated in advance, and the accuracy of the system is improved. Therefore, weight distinguishing and sorting optimization of feasible paths are supported, and the probability of scheduling mismatch and resource waste of adjacent delivery nodes is reduced.

The application provides a fault root cause association method, device, equipment and readable storage medium, through changing the time limit of root cause association from a global fixed time window to a differentiated configuration according to a network element-service combination, that is, defining a special association time limit window for each root cause association rule in combination with the network element-service context of each of the two faults involved, avoiding alarm omission or misassociation caused by the fixed window, significantly improving the accuracy of root cause analysis, and taking the association time limit window as a time rationality criterion for establishing a causal relationship, ensuring that root cause association is only allowed to be constructed under the premise that the propagation delay is reasonable, a directional hierarchical causal chain is constructed, and the fault propagation path in a complex heterogeneous environment is restored.

Provided are a management device and the like for an entertainment facility, which are capable of strictly managing a user entering the entertainment facility. A management server 110 that manages the entry of an entertainment facility is provided with: a timing unit 120 that measures the stay duration of a user who has entered the entertainment facility; and a notification unit 130 that notifies the user before the stay duration reaches a time limit that the game performed by using the entertainment machine 200 in the entertainment facility will be limited if the stay duration exceeds the time limit.

The application discloses a kind of component assembly unit finite equipment resource dynamic scheduling method considering delivery time limit constraint, solve the problem of unreasonable allocation of finite equipment resources and unable to effectively respond to fault disturbance under existing production scene.For the finite equipment resource scheduling problem of flexible job shop with sudden equipment failure disturbance, first, a model is established with the optimization goal of minimizing the maximum delay time, a three-layer coding and decoding method is designed, and an improved particle swarm algorithm with adaptive inertia factor is used to solve the initial scheduling scheme;Then, considering the product delay cost and equipment switching cost caused by equipment failure disturbance, a re-scheduling model is constructed to minimize the comprehensive cost;Finally, based on the event-driven re-scheduling mechanism, partial / complete re-scheduling strategy and right-shift re-scheduling strategy are used to generate two alternative schemes for comparison and optimization.

The invention discloses a management method and system based on a digital capital construction project, and relates to the technical field of capital construction project management, and the method comprises the steps: carrying out the stage division of a power grid capital construction plan, constructing a capital construction task model containing key / non-key processes and equipment dependence, determining key process core equipment, and giving a construction period influence weight; according to the model and the stage construction period, stage authority data associated with the equipment identifier, the user authority and the time dimension is generated; generating an equipment operation management thread based on the authority data, and distributing user access authority and deadline; capital construction site data are collected and fused, and the contribution degree of key and non-key processes to the whole progress is separated; when the key process is abnormally stopped due to core equipment, the contribution degree calculation of the non-key process is paused; key process delay duration is obtained, and corrected construction progress deviation is generated in combination with the weight of the core equipment; and adjusting the user operation authority deadline of the equipment corresponding to the key process according to the deviation.

The invention provides a cooking equipment control method and device and cooking equipment, and relates to the technical field of cooking control. The method comprises the following steps: acquiring an equipment maintenance rule of current cooking equipment; when the use information of the current cooking equipment meets a reminding rule in the equipment maintenance rules, first maintenance reminding information is sent out, and the first maintenance reminding information is used for reminding a user to execute a maintenance task within a specified time limit; if it is detected that the user does not execute the maintenance task within the specified time limit, first target operation is executed, and the first target operation comprises sending second maintenance reminding information and / or adjusting preset items of the current cooking equipment. According to the application, a user can be reminded and supervised to maintain the equipment, the service life of the equipment is prolonged, the failure rate is reduced, the equipment is ensured to operate in an optimal state, and the working efficiency and the output quality are improved.

The application provides a logistics time limit prediction method, device and equipment, and a storage medium. A rule configuration method of the logistics time limit prediction method comprises the following steps: acquiring a confidence degree of historical time limit prediction of a to-be-predicted waybill; judging whether the confidence degree is greater than a set confidence threshold; if yes, providing a first predicted waybill time limit according to the to-be-predicted waybill; and if no, providing a second predicted waybill time limit according to the to-be-predicted waybill, wherein the second predicted waybill time limit is later than the first predicted waybill time limit. The application predicts the logistics time limit, thereby avoiding the situation that the predicted time limit is inaccurate due to the difference in prediction accuracy of waybills of different lines, and further improving user experience.

The invention relates to the technical field of human resource management, in particular to a task scheduling method for human resource management, comprising: acquiring task features of a to-be-allocated task, the task features comprising task complexity, core skill requirements and construction period requirements; based on a pre-constructed personnel ability library and a basic matching relationship, calculating a static matching degree between the task features and the remaining personnel; obtaining a task dependency chain of the to-be-allocated task, and if the to-be-allocated task is bound with the task dependency chain and the current task has a preposed task, correcting the static matching degree based on the dependency adaptation coefficient to obtain a final matching degree; sorting distribution priorities on the basis of the final matching degree and the time redundancy, and distributing the tasks on the basis of the distribution priorities and personnel quantity requirements of the tasks to be distributed; and after task allocation is completed, processing priority ranking is performed on the tasks of the employees based on the final matching degree and the construction period requirement. The method has the advantages of improving the allocation reasonability and reducing the task rework rate.

The application relates to the technical field of time limit early warning management and control, and particularly discloses a time limit early warning monitoring and supervising method and system based on AI technology, which first extracts a target task from a task library, and analyzes the target task by using a natural language processing technology to extract the task type, the deadline and the information of the person in charge of the target task, and further judges the urgency and importance of the task, and then sets the early warning level and frequency of the target task according to the urgency and importance of the task, and when the distance to the deadline of the task reaches the set early warning level, the monitoring and supervising mechanism is automatically triggered to send early warning information to the relevant person in charge at the set frequency to check and remind the task progress. In this way, the efficiency and effect of the supply and service task management can be effectively improved, and the loss caused by the task delay can be reduced.

The invention provides a constrained multi-objective collaborative optimization method, system, device and medium, and belongs to the technical field of port logistics, the method comprises the following steps: firstly defining constraints such as total transportation mileage, time efficiency, cost minimization objective function, capacity, time window and the like, initializing main and auxiliary populations and setting parameters; environment change is detected by comparing the abrupt change of the inter-generation target value; performing three-dimensional analysis on change intensity from a target spatial form, decision variable distribution and population diversity; calling strategies such as multi-knee-point guidance, knowledge memory and diversity injection according to the change type to generate a response solution; combining repair response solutions, reconstructing main and auxiliary populations, and updating elite archives; and cooperating the main population with the auxiliary population in stages, and outputting a solution set approaching the dynamic Pareto frontier after the main population is evolved. According to the method, mileage and aging targets are balanced through multi-target modeling and multi-population cooperation, and feasibility and diversity of solutions are guaranteed; and finally, the solution set approaches the dynamic Pareto leading edge, so that the scheduling efficiency and robustness are improved.

The invention relates to the technical field of power distribution networks, in particular to an automatic recloser multi-section definite-time-limit overcurrent control method and a recloser thereof, comprising a control cabinet, the control cabinet is internally provided with a controller for bearing an instantaneous reaction module, a data collection module, a feature extraction module, a similarity matching module and a historical database, and parameters in a circuit are monitored in real time, so as to realize the multi-section definite-time-limit overcurrent control of the recloser. When an abnormality occurs, calculating and analyzing the corresponding parameters, judging the similarity between the parameters and historical data, further judging the general type of the fault, and performing a corresponding switching-on action according to the judged fault type; through the combination of instantaneous reaction and intelligent judgment and switching on, instantaneous faults can be solved as soon as possible, or switching on operation is no longer tried too much for permanent faults, loss is reduced, and corresponding data are stored after the current fault type is confirmed, so that subsequent comparison is facilitated.

We provide a training system and a training / testing integration system that enable appropriate and efficient training for each user. [Solution] In the training system 10, the timer adjustment means 24 determines whether predetermined time limit reduction conditions are met using the results of the training response result determination means 23, such as the percentage of tasks that were handled correctly or that were completed, or the number of consecutive tasks. If these time limit reduction conditions are met, the time limit reduction process is executed. At the same time, the timer adjustment means 24 determines whether predetermined time limit extension conditions are met using the results of the training response result determination means 23, such as the percentage of tasks that were handled incorrectly or that were not completed, or the number of consecutive tasks. If these time limit extension conditions are met, the time limit extension process is executed.

The invention discloses an order delivery method, device and equipment and a computer readable medium, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining historical order throughput in a delivery area and historical order throughput of a delivery end, and predicting an order backlog amount of the delivery area in a preset time period based on the historical order throughput in the delivery area and the historical order throughput of the delivery end; on the basis of the order backlog amount in the preset time period, estimating that the actual order delivery time limit is later than the expected order delivery time limit, determining that the order is overdue and sending an early warning message; and receiving an adjustment instruction in response to the early warning message, and adjusting the order quantity of the delivery end according to the delivery area of the order backlog quantity so as to deliver the orders in time. According to the embodiment, the resource delivery order can be dispatched in time, and delivery delay is avoided.

This invention relates to the field of intelligent scheduling and control technology, specifically to an intelligent scheduling system for parallel batch processing machine job shop scheduling. The system first acquires the arrival time, preparation time, maximum in-process time limit, and oxidation rate constant of each batch, and sets multiple tentative start-up times. Then, for each start-up time, it filters processable and scrapped batches, and performs virtual loading sorting based on the maximum in-process time limit and batch capacity. Next, it linearly calculates the yield impact ratio of each loaded batch by combining waiting time and oxidation rate constant, and constructs a net output evaluation value for each start-up time by comprehensively considering loading volume, scrap volume, and yield loss, and calculates the delay gain index relative to the initial time. Finally, the scheduling module selects the optimal start-up time based on the delay gain index. This system effectively balances the conflict between "waiting for full load" and "avoiding overdue scrapping" under unsteady material conditions, improving the efficiency of equipment output and scheduling decisions.

The application relates to a method for calculating time limit based on a specified date and a time period, which comprises the following steps: after a Cartesian joint of a specified date profile and a specified time period profile, a first intermediate result set is obtained, and the first intermediate result set is stored in a first intermediate table; self-association mapping is performed on the first intermediate result set to obtain a second intermediate result set, and the second intermediate result set is stored in a second intermediate table; association mapping is performed on to-be-calculated time limit service data and the second intermediate table to obtain a to-be-calculated time limit service intermediate table; and time limit information of the to-be-calculated time limit service table is obtained by processing the to-be-calculated time limit service intermediate table. The application solves the problems of automatically determining time limit based on a working day and a specified time period, processing order, delivery and other processes, whether the working day and the working time period (i.e. the delivery time period) are involved, whether the delivery is overtime, whether the logistics delivery to the customer is overtime and other time limit (i.e. effective time consumption) problems.