52 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.

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 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.

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 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.

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.

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.

The invention discloses a file emotional intention recognition system based on think tank and semantic understanding, and relates to the technical field of file emotional intention recognition, and the file emotional intention recognition system comprises the following steps: obtaining a paragraph text of a to-be-processed document and a knowledge base candidate time limit set, and determining a unique time limit; time expression is extracted to determine paragraph absolute time, and a paragraph proximity value is calculated; counting sentiment words and calculating paragraph negative intensity values; calculating a time limit dependent emotion slope based on the proximity value and the negative intensity value; and according to the slope, the proximity value and the negative intensity value, identifying an emotional intention and generating an evidence paragraph. The method can prompt the accuracy of file emotion intention recognition.

The application provides a software startup abnormality monitoring method, device and system, which comprises the following steps: a monitoring step, comprising: simultaneously monitoring the time length of a software startup process and the handshake signals of each stage of the software startup process; for each stage of the software startup process, detecting the handshake signals of the stage within a specified time limit corresponding to the stage; a judging step, comprising: when the handshake signals of the stage are not detected within the specified time limit, determining that the software startup is abnormal. The method can monitor each stage of the software startup process respectively, so that whether each stage of the software startup process is abnormal can be monitored, the position of the abnormality can be accurately located, and the diagnosability is improved.

The invention discloses a work order time limit reminding method and system based on a time wheel, and the method comprises the steps: constructing a time wheel data structure, dividing a time wheel into a plurality of fixed-length time slots, and enabling the time slots to be connected in an annular chain table form; according to the time slot task chain table length, the work order priority, the system load, the work order priority weight and the system load weight, the time slot interval of the time wheel of the layer is adjusted, the corresponding target time slot position is determined according to the work order time limit and the current time, and the work order is registered in the target time slot; driving a time wheel to roll through a timer, wherein the current time slot is activated during each rolling; and extracting an expired work order from the activated time slot, checking whether a task corresponding to the expired work order is completed or not, and triggering a reminding logic corresponding to the expired work order if the task is not completed. The work order processing accuracy and efficiency are improved, and the method has high flexibility and expandability, is suitable for various enterprises, and assists in improving the efficiency.

The invention relates to the technical field of wind turbine generator fault prediction, in particular to selection of a reference sensor, analysis of a plurality of effective time limits corresponding to the reference sensor and definition of the effective time limits as time intervals, selection of operation data, calculation of correlation coefficients of the reference sensor and other sensors at each time interval, and prediction of wind turbine generator faults. Setting a judgment threshold value to judge the reference sensor and other sensors having the association relationship, and constructing each corresponding time interval initial association combination; adjusting the time interval to obtain a plurality of adjustment association combinations; calculating the similarity between the adjustment association combinations and the corresponding initial association combinations, analyzing the change of each adjustment association combination, judging a plurality of same initial association combinations and the corresponding adjustment association combinations, and then combining the initial association combinations and the corresponding adjustment association combinations into a same association set; analyzing the standard association combination, and adjusting a judgment threshold value; selecting an adjustment time period corresponding to the standard association combination, and defining the adjustment time period as a selection time period; and matching the selected time period, and predicting the operation data of the reference sensor in the prediction time period.

This invention relates to a method for predicting mudstone expansion and blockage in deep boreholes and optimizing borehole operation scheduling. The method divides boreholes into sections based on depth and assigns a risk budget item to each section, including at least one of the following: the number of precursor windows, the duration of a phase, and the number of invertible events. Within a sliding time window, at least two of the following parameters are collected: torque, pump pressure, returned material parameters, and mechanical drilling rate. These parameters are compared with a baseline to form primary evidence, which is then combined with exclusionary evidence to identify precursor windows. When a precursor window occurs consecutively for a set number of times, the blockage phase is advanced and a predetermined exploratory action is performed. If the pump pressure or torque does not recover to the baseline's allowable range within a set time limit, it is determined to be an invertible event. The corresponding budget is deducted based on the number of precursor windows, phase duration, and number of invertible events. When any budget is exhausted, a borehole operation deadline and urgency level for that section are generated. The borehole operation needs of multiple sections are prioritized by deadline. When the difference in deadlines is not greater than a threshold, a scheduling plan is generated by combining urgency level and scheduling constraints.

This invention relates to the field of machining production management technology, specifically a machining production planning management method and system, comprising the following steps: extracting time limits to establish a part flow path diagram; matching available slots and idle spindles to generate a machine tool mapping assignment spectrum; executing extension and replacement scheduling to obtain a reconstructed sequence for tool occupancy exceeding quota items; generating a clamping turnover distribution column based on pallet idleness indicators; and determining boundary exceedance situations to transmit start-up levels and obtain a trigger chain. In this invention, by implementing equipment assignment based on path constraints and machine tool resource distribution, it reverses the capacity mismatch caused by production scheduling based on subjective experience, deeply verifies tool occupancy capacity and pre-screens over-limit processes, implements extension and replacement scheduling actions to reshape the production sequence, avoids material flow delays and equipment changeover downtime risks, compares shift operation periods to remove over-limit assignment nodes, and directly issues conflict-free instructions to the lower levels to ensure tight flow of machining in the workshop.

The invention discloses a portable intelligent power first-aid repair metering method, system, equipment and medium, and belongs to the technical field of power distribution network maintenance, and the method comprises the steps: receiving and integrating the position and type information of a fault point and the real-time state data of each first-aid repair device, dynamically predicting the first-aid repair time of each device based on the historical efficiency and the real-time efficiency, and calculating the first-aid repair time of each device; the total scheduling time is calculated in combination with the path distance and the distribution speed; and through intelligent comparison, predicting a matching relationship between the first-aid repair time and the total scheduling time, selecting a device with the optimal comprehensive scheduling time efficiency from the devices meeting the time efficiency conditions as a supply source, generating a distribution instruction and issuing the distribution instruction to distribution personnel. According to the method, the historical efficiency data, the real-time working condition information and the multi-device synergistic effect are integrated, the first-aid repair time is predicted, and the optimal device is dynamically selected, so that the timeliness of first-aid repair response and the scientificity of resource scheduling are improved, and the whole-process intelligence from first-aid repair operation to equipment maintenance is realized while the continuous and reliable operation of first-aid repair equipment is ensured.

To provide a learning continuation support system and the like capable of supporting individual learners to continue learning.SOLUTION: A system that includes a server 2 and a user terminal 3 and supports continuation of learning of a user, wherein the server 2 includes a storage unit 21 that stores a start time and a time limit set by the user, a transmission unit 22 that transmits, to the user terminal 3, a display element for selecting whether or not to attempt learning when the start time is reached, an acquisition unit 23 that acquires feasibility information regarding the selected feasibility in association with a time, and a reward unit 24 that determines a reward on the basis of the time limit, the feasibility information, and a predetermined condition, and the user terminal 3 includes a terminal transmission unit 33 that transmits the feasibility information to the server 2.SELECTED DRAWING: Figure 2

The invention relates to the technical field of data processing, and discloses a user permission verification and data updating method and system, and the user permission verification and data updating method comprises the following steps: S101, calculating to obtain gateway side parameters; step S102, calculating to obtain a service side parameter; step S103, generating a plan submission moment; step S104, calculating to obtain an actual submission moment and recording scheduling jitter; step S105, constructing an audit vector; and step S106, updating the exponential moving average and generating a time consumption estimation value of the next round of processing. Aiming at the problems that the submission time is out of control and compliance auditing is difficult in an access control system based on a token, an instant feasible interval and a planned submission time are determined by uniformly integrating two layers of time limits of a gateway and resource service and combining link time delay calculation; and the unauthorized writing risk that the token is still submitted after expiration or is submitted before being effective is effectively avoided.