7 results about "Task level" patented technology

The application relates to a task scheduling method and system based on a zero-work system, and relates to the technical field of data processing. The method comprises the following steps: receiving a task publishing instruction, calling a task level and a task type based on the task publishing instruction; determining a capability level based on the task type, and inquiring whether the capability level is less than preset capability information of an order-receiving user; if the capability level is less than the preset capability information of the order-receiving user, filtering the task for the order-receiving user; if the capability level is not less than the preset capability information of the order-receiving user, opening a task receiving permission for the order-receiving user; receiving a receiving instruction of the order-receiving user based on the opened task receiving permission, generating a task package based on the receiving instruction, and taking down the task; collecting identity information based on the task package, and after the identity information is consistent with preset order-receiving user information, a supervision method is matched and supervision is performed. The application has the effect of improving the task completion rate.

This application provides a method and related equipment for constructing a skill tree profile of maintenance personnel based on work order task topology mapping, which can improve overall work efficiency. The method includes: acquiring historical work order data from the maintenance work order system, which includes equipment information, task information, and personnel information; performing structured processing on the historical work order data to construct a full lifecycle map of equipment and a personnel skill tree, establishing a bidirectional mapping relationship between task nodes in the equipment lifecycle map and skill nodes in the personnel skill tree through personnel and equipment information; when receiving new work order data, extracting feature information from the new work order data to generate a composite identifier, and verifying the composite identifier against historical composite identifiers in a pre-stored topology cache library, where the composite identifier includes equipment type and task level; if the verification result is invalid, calculating the mapping relationship in real time based on the equipment lifecycle map and the new work order data to obtain the target mapping relationship.

The present application relates to the technical field of industrial control system, specifically to a kind of forest fire pump group's collaborative operation control method and system, comprising the following steps: decomposition forest fire pump group collaborative operation process, aggregate all local pump controller's discretization control task list, establish whole system real-time task set.The present application is by forest fire pump group collaborative operation process discretization into task level control unit, and constructs complete whole system real-time task set, enhances the structural clarity and operation accuracy of task timing scheduling.With quantitative extraction and contrast execution to task resource allocation parameters, a clear priority order is assigned to the tasks, and accurate scheduling boundaries are provided by the deterministic execution time window table, allowing each pump controller to respond collaboratively within a strict time limit.

The invention relates to the technical field of resource allocation, in particular to an office resource allocation method based on the Internet of Things, which comprises the following steps: acquiring a task flow and a resource calling record, identifying a task dependence flow, extracting a resource type, a use time period and calling frequency, constructing a resource demand structure list, calculating resource occupation, and marking a high occupation flow. Generating a conflict area list, screening high-conflict requests, executing resource rearrangement, correcting calling duration, and generating allocation information. According to the method, the resource demand distribution structure is constructed by extracting the resource type, the use time period and the calling frequency in the task process, the resource allocation conflict area is identified, the combined screening is executed, the resource calling urgency degree is calculated in combination with the task priority and the resource utilization rate, and the high-conflict request starting point is effectively positioned; by eliminating the calling records with long resource idle period and low task level, the reasonability of task scheduling and the stability of office resource supply are enhanced.

The invention discloses a task planning method and device, electronic equipment and a storage medium, and relates to the technical field of task simulation deduction, and the method comprises the steps: constructing a mind map ontology model according to a task level and an initial node contained in the task level; and performing logic verification on the mind map editing information of the user, if the logic verification is passed, adjusting the mind map ontology model according to the mind map editing information, and generating a target task file according to the obtained target mind map. The problems that in the task planning process, the logic relation and the overall conception among multiple tasks are difficult to visually reflect, and task errors are likely to occur can be solved. According to the method, the mind map is used as a front-end carrier, and the logic relationship is displayed through the mind map, so that a user can quickly view the whole task planning process from macroscopic to microscopic, and the planning efficiency is greatly improved. In addition, the method verifies editing information in real time, information missing or information conflict is avoided, and completeness and executable performance of the task are ensured.

This invention provides a method for autonomous mobile navigation path planning in an ICU, relating to the field of path planning technology. The method includes: acquiring patient tags, task identifiers, and intervention records in an ICU disaster scenario; extracting task time series and analyzing frequency characteristics; filtering passage segments and matching time windows; identifying equipment overlap and operational conflicts; extracting remaining tasks to generate a scheduling sequence; rearranging path nodes and integrating task levels; and generating a navigation path segment sequence. In this invention, by extracting task time features and spatial states, priority task points are generated and passable paths are filtered. This adapts to the high density of ICU beds and path compression in disaster scenarios. Resource conflicts are identified by combining equipment usage records and node spatial relationships to avoid task overlap. A scheduling sequence is constructed based on task stagnation status, improving path adjustment efficiency and enhancing the robot's ability to respond to unexpected tasks and the continuity of path execution.

The invention discloses a dynamic task allocation and optimization method for aviation robots, relates to the technical field of task allocation, is used for solving the problems of equipment overload and frequent airspace conflicts, obtains a current task list of each aviation robot through a task database, calls a task level of a task target, collects residual electric quantity and calculates endurance time, and provides a dynamic task allocation and optimization method for the aviation robots. Screening and marking task targets in combination with task levels; importing position coordinates of the marked task targets and available time into a clustering analysis algorithm to generate candidate areas; marking overlapped parts of the candidate areas of different robots; obtaining a robot list of the marked candidate areas; according to the method, optimal scores are evaluated and executed in combination with track density characteristics, sorting is carried out in marked candidate areas according to the scores, a sorting result is imported into an analytic hierarchy process algorithm to generate a candidate robot list, and the safety and execution efficiency of a multi-aviation-robot collaborative task are improved.