11 results about "Time limit" patented technology

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 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 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.

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.

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 application belongs to the technical field of engineering management, and provides an intelligent project scheduling system and method based on engineering management. A plurality of candidate scheduling schemes are generated based on project space-time attribute graphs, task requirements and constraint conditions. For each scheme, the qualification time limit data of resources and the information flow correlation data between tasks are extracted, a risk deduction model is constructed and Monte Carlo simulation is performed, and the deduction results including risk probability distribution and risk root cause chain are output. The risk, cost and duration indexes of each scheme are input into a multi-objective optimization model for solution, and a Pareto optimal scheduling scheme is generated. Real-time data is dynamically collected during execution to update the risk model, and re-scheduling is triggered when the risk exceeds the threshold or the progress exceeds the limit. Finally, the scheduling process is restarted based on real-time state and risk analysis. The application improves the overall robustness and management adaptability of complex engineering projects in terms of cost, duration and compliance.

The application discloses a stamping production scheduling management system based on multi-dimensional constraint parameters and relates to the technical field of stamping production scheduling management; the application generates a to-be-scheduled work order table through work order screening and sorts the to-be-scheduled work order table according to a delivery time, matches exclusive / common equipment pools for work order processes, generates a theoretical scheduling table through double-constraint trial calculation time, and obtains an actual scheduling table through actual time simulation; the application breaks the infinite capacity assumption of traditional stamping production scheduling, no longer fixes and allocates equipment selection, can shorten the work order delivery time limit, simultaneously realizes global real-time synchronization of workshop equipment states, effectively avoids the resource conflict problem of multiple work orders competing for the same equipment, and greatly improves the executability of the scheduling plan.