12 results about "Work package" patented technology

The invention discloses a regulation-work package bidirectional association and dynamic mapping method and system, and relates to the technical field of enterprise compliance management and task management informatization. The method comprises the following steps: constructing a standardized law and regulation library and a work package attribute library, disassembling a law and regulation file into compliance requirement points, and determining multi-dimensional attributes of a work package; forward mapping and reverse tracing binding of the compliance requirement point and the work package are realized through a mapping matching model; performing integrity, consistency and rationality verification on the mapping relation; monitoring the regulation change and automatically updating the mapping relation; and visually displaying the mapping relationship and monitoring compliance execution. The system correspondingly comprises a regulation management module, a work package management module, a bidirectional mapping module and the like. According to the method, closed-loop management and control of law and regulation requirements, task execution and compliance evidence are realized, the problems of unidirectional and static mapping and rough granularity in the prior art are solved, the compliance management and control accuracy and the dynamic adaptation capability are improved, and the compliance risk of an enterprise is reduced.

The invention belongs to the technical field of intelligent manufacturing and industrial scheduling, and provides a high-altitude platform multi-test task production scheduling method based on a clustering algorithm and multi-objective optimization, and the method comprises the steps: automatically calculating the exclusive resource demands of all working condition points in a plurality of aero-engine test tasks based on a multi-parameter coupling model; for each task, dividing a plurality of work packages by adopting a clustering algorithm based on the multi-dimensional features containing exclusive resource requirements in the task; a multi-objective model of multiple optimization objectives is constructed, all the work packages are jointly sorted globally, and the optimization objectives comprise the equipment utilization rate; and finally, under the condition that constraint of resource capacity, mutual exclusion of test cabins and task continuity is satisfied, allocating an available tester and a continuous time window to each work package, and generating an initial production scheduling plan. According to the method, the production scheduling efficiency and the resource utilization rate are effectively improved, the plan robustness is enhanced, and the method is suitable for high-complexity aero-engine test scheduling scenes.

A work package management system and method for serving device assets of multiple clients. The work package management system and method may include one or more work packages that can be accessed by a service agent through an associated data device. The work package management system may be configured to provide work packages that can be applied to a single service agent. The work package management system may be configured to provide work packages based on data device location.

The application discloses a data labeling task distribution method and device, equipment and medium, and relates to the technical field of task distribution. The method comprises the following steps: obtaining labeling task data packets and project configuration information, splitting the labeling task data packets according to project distribution characteristics to obtain at least one batch of first to-be-distributed task sets; obtaining labeling work orders, and generating second to-be-distributed tasks according to the labeling work orders; obtaining repair work orders fed back after the second to-be-distributed tasks are audited, and generating third or fourth to-be-distributed tasks according to the repair work orders; and packaging the first, second, third and / or fourth to-be-distributed tasks into a current batch of work packages according to real-time team states, real-time individual states and permission information, and distributing the work packages to workers. The application considers multiple factors during task distribution, efficiently matches tasks and workers, realizes multi-dimensional matching and dynamic resource distribution, shortens the average project cycle, and significantly improves delivery efficiency.

The invention discloses a financial problem processing method, device and equipment based on a dual-loop architecture and a storage medium, relates to the technical field of artificial intelligence, is applied to the dual-loop architecture comprising a first loop architecture and a second loop architecture, and comprises the following steps: the first loop architecture receives and analyzes a user financial problem, the second loop architecture generates financial problem processing flow work packages including execution structures and execution steps, calls an evaluation device to perform structure, execution and comparison evaluation on each work package to obtain evaluation results, integrates the evaluation results into feedback information through a feedback loop, and generates a model by using a corpus; processing the evaluation result into a structured training corpus, storing the structured training corpus into a corpus storage library, training the initial large language model by utilizing a low-rank matrix training method and combining the training corpus and feedback information to obtain a superposition model when a condition is met, and fusing the superposition model into a preset reasoning model to obtain a target reasoning model, and the original work package is optimized to generate the new work package, so that the problem processing efficiency is improved.

This invention discloses a method, system, and apparatus for decomposing project information management work packages, relating to the field of project information management technology. The method includes: constructing a first tree diagram based on enterprise hierarchical structure data; constructing a second tree diagram based on project organizational structure data; obtaining preset project identifiers and a third tree diagram based on preset project basic information; generating task work packages based on the third tree diagram; assigning preset projects to preset units based on preset identifiers; setting data pools for each level of the third tree diagram; setting tag data for personnel based on preset unit personnel basic information and assigning it to the data pools; configuring corresponding personnel for each node based on the data pools and tag data; configuring task work packages and setting preset permissions for each node; storing data from the third tree diagram into nodes of the first tree diagram, thus completing the dynamic decomposition of task work packages. This invention significantly improves the management efficiency of multi-level enterprises for technological innovation projects.

The invention provides a task processing method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of artificial intelligence and the like. According to the specific implementation scheme, a task target input by a user is received; performing task decomposition, target definition and constraint identification on a task corresponding to the task target to obtain global planning information including an atomic work package and a work package logic sequence; determining a sub-work task set based on an atomic work package in the global planning information; for each sub-work task in the sub-work task set, executing the sub-work task based on the global planning information and a preset atomic instruction sequence to obtain atomic output of the sub-work task; and on the basis of the work package logic sequence, combining the atomic outputs of the sub-work task sets to obtain a task output result.

The application belongs to the technical field of intelligent manufacturing and industrial scheduling, and provides a high-altitude table multi-test task scheduling method based on a clustering algorithm and multi-objective optimization, which comprises the following steps: automatically calculating the exclusive resource demand of each working condition point in a plurality of aero-engine test tasks based on a multi-parameter coupling model; for each task, a plurality of work packages are divided by using a clustering algorithm based on multi-dimensional features containing exclusive resource demand; a multi-objective model of multi-optimization objectives is constructed, and all work packages are jointly sorted globally, wherein the optimization objectives include equipment utilization; finally, under the constraints of resource capacity, test cabin mutual exclusion and task continuity, available test devices and continuous time windows are allocated to each work package to generate an initial scheduling plan. The application effectively improves scheduling efficiency and resource utilization, enhances plan robustness, and is suitable for high-complexity aero-engine test scheduling scenarios.

The invention provides a ship design change single whole process data management method and system, and the method comprises the steps: constructing a standard database, and maintaining standard data; inputting design data, purchase data, operation data, production data and quality data; carrying out the calculation through the change list issuing time, the tray plan distribution time and the tray standard manufacturing period, and carrying out the change list material application judgment; carrying out change order dispatching judgment through change order material application judgment and a change order stage; and through the original drawing work package number, the original drawing work package state and the original drawing work package real work time, single construction department change and waste return judgment are carried out. The data management method runs through data specifications and association relationships of all links such as design, purchase, production, operation and quality, realizes data entry and management in the whole process of a design change list, ensures close collaboration of the links such as design, purchase, production and quality in the change process, and significantly improves the overall efficiency and project management level of ship construction.

The invention discloses a project cost progress management system based on artificial intelligence, and relates to the technical field of artificial intelligence, and the system comprises a construction module which is used for constructing a dynamic causal network based on each work package in a project list and a multi-source influence factor extracted from multi-source data, and a prediction module which is used for predicting the project cost progress based on the dynamic causal network. And the optimization module is used for identifying parallel work packets in a project execution process, forming an experimental group and a control group, carrying out iterative optimization on the dynamic causal network according to a comparison result of the experimental group and the control group, and outputting a prediction result. According to the method, the dynamic causal network is constructed based on the influence factors extracted from the work packages and the multi-source data in the project list, the influence of risks on the total cost and the total construction period of the project is quantified, the micro-intervention strategy is generated, the experimental group and the control group are set, the strategy effect is quantified through differential analysis, the management precision and efficiency are continuously improved, and the risk is reduced. And full-period management and control of the project are realized.

The present disclosure involves systems, software, and computer implemented methods for data privacy. One example method includes receiving a first request to start a data privacy integration protocol for a first object instance. At least one second request is sent to at least one other service for information regarding which subset of applications of a multiple-application landscape have received a copy of the first object instance. A work package is created for the first object instance and the data privacy integration protocol and is sent to applications in the subset and not sent to landscape applications not in the subset. Work package responses are received from applications in the subset of applications. A data privacy integration protocol result is determined based on the work package responses and is sent in response to the first request to start the data privacy integration protocol.

A system for generating task schedules using an electronic device includes: a processor, the processor comprising neural networks; a memory coupled to the processor; a scheduler coupled to the processor, the scheduler is configured to: receive: a total work database configured to contain items representing work packages; a resources database configured to contain items representing resources required to fulfill items in the work packages; a constraints database configured to contain items representing constraints to fulfilling items in the work packages; and a scheduling objective database configured to designate a prime objective that is to be achieved by the optimum task schedule; provide a trained reinforcement learning engine for optimizing the task schedule based on inputs from the databases; and generate an optimum work package schedule to sequence the work packages using the trained reinforcement learning engine, wherein the optimum work package schedule maximizes the one or more prime objectives.