15 results about "Project manager" patented technology

The invention belongs to the technical field of shipping big data application, and particularly relates to a shipping research report generation method based on multi-agent cooperation, and the method comprises the steps: enabling a multi-agent hierarchical cooperation architecture, dividing a whole agent into a plurality of sub-agents with independent functions, and dividing the sub-agents into a management layer and an execution layer; the management layer comprises a project manager agent, an architect agent and a demand side agent; the execution layer comprises a shipping intention recognition agent, a background investigation agent, a content team agent, a review verification agent and a report writing agent; the intelligent agents cooperate with one another, and a shipping research report is written in a popular, easy-to-understand, organized and clear language according to the structure and style of the shipping report. According to the method provided by the invention, human information processing, decision making and operation processes are simulated, a modularized and multi-agent cooperative agent scheme is constructed, and the application of AI in the shipping field is pushed to a new height of comprehensive knowledge creation from operation assistance and single analysis.

The application discloses a task allocation method and system based on artificial intelligence, and the method comprises the following steps: obtaining the meeting content of a project manager and analyzing the voice information corresponding to the meeting content, obtaining multiple to-be-allocated tasks according to the voice information; dividing each to-be-allocated task into multiple levels of subtasks according to the task index of each to-be-allocated task; determining the allocation subtasks of each participant through an artificial intelligence model according to the experience information and enterprise professional level information of the participant and the execution complexity of each subtask; and determining the personnel allocation situation of each to-be-allocated task according to the membership relationship between the allocation subtasks of each participant and the multiple to-be-allocated tasks. The method can avoid subjective personnel allocation by the project manager, save a large amount of allocation time, improve practicability, guarantee the objectivity of the task personnel allocation result, and make the personal ability of each person suitable for the allocated task.

1. Name of the designed product: Jacket (project management). 2. Use of the designed product: Clothing for project managers to wear in various scenarios. 3. Design points of the designed product: Combination of shape and pattern. 4. Picture or photo that best indicates the design points: Front view. 5. The designed product is a thin product, and other views are omitted.

The system according to this embodiment aims to grasp the progress and challenges of a project in real time and provide appropriate advice. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a provision unit, and a monitoring unit. The collection unit collects the content of conversations and chats of project members. The analysis unit analyzes the data collected by the collection unit to understand the progress and issues of the project. The provision unit provides advice to the project manager based on the analysis results obtained by the analysis unit. The monitoring unit monitors the progress understood by the analysis unit in real time.

We provide the system. [Solution] A means for collecting historical information including the progress of a task and the actions of the person in charge, A means for learning a predictive model to predict the future progress of a task based on the aforementioned historical information, A means for identifying tasks that are likely to be delayed or have problems using the aforementioned predictive model, Means for generating alerts and suggested solutions regarding identified tasks, A means of notifying the project manager of the aforementioned alerts and suggestions, A system that includes this.

The application discloses a supervision system for effectively controlling project labor cost, and the innovation point is that the project labor cost accounting constitution granularity is scientific and reasonable, in order to realize project cost efficiency optimization, the project events generating labor cost are split into basic task event work hour units which can be marked as completed plans, the project manager designs the basic task event units matched with the project according to the characteristics of the cost events, generates work orders with unique dispatching numbers through a dispatching module, associates the project (project name, work site), task (task number, task name, planned work hour) and personnel (required professional title, required major) and publishes the associated work order in a task pool. The system automatically dispatches matched personnel to form a task work order from the associated work order in the task pool, and the personnel need to complete the task and report work hours within the planned time after confirmation, or the project manager can close the task work order at the planned work hour deadline, so that the completion work hours of each basic task event unit are controlled, and the total project work hours are further controlled.

The invention relates to the technical field of upper computer maintenance and repair, and provides an automatic upper computer error repair method and system based on AI and code management and application, and the method comprises the following steps: S1, when an upper computer has an error, automatically collecting log information and uploading the log information to a server; s2, triggering an AI analysis engine based on log information, and performing positioning and repair feasibility analysis on errors in combination with a Git submission record and Issue tracking information; s3, if the analysis result shows that a feasible repair scheme exists, automatically generating a patch upgrade package; s4, confirming by a project manager; and S5, automatically releasing the patch and finishing error repair under the condition that the user terminal does not perceive. The system comprises a log acquisition module, an AI analysis module, a patch generation module, a notification and confirmation module and an automatic updating module. According to the method, automatic error positioning, automatic repairing and intelligent upgrading of the upper computer can be realized, the manual troubleshooting time is shortened, and the stability and maintenance efficiency of a software system are improved.

The application discloses a project task dependency relationship intelligent modeling system and method based on a knowledge graph, and belongs to the technical field of project task modeling. The method specifically comprises the following steps: acquiring project task image data, and pre-processing the acquired project task image data; constructing a preliminary project task knowledge graph according to the pre-processed project task image data; analyzing direct and indirect dependency relationships between project tasks; updating the preliminary project task knowledge graph to obtain a project task knowledge graph; based on the project task knowledge graph, combining attribute information of the project tasks, optimizing project task scheduling, determining the priority of project task execution and resource allocation, and automatically updating project task nodes and dependency relationships in the knowledge graph based on real-time data and project progress. The priority and resource allocation between project tasks can be processed in real time, so that a project manager can obtain the latest dependency relationships and progress of tasks in real time.

The invention belongs to the technical field of project management, and provides a project plan generation method and device, equipment and a storage medium. According to the embodiment of the invention, the method comprises the steps: obtaining a project schedule draft and a reference historical project plan corresponding to a project plan demand; segmenting the task tree of the reference historical project plan to obtain at least one project plan fragment; performing adjustment processing on each project plan fragment through a large language model according to the adjustment cue word and the project chapter draft to obtain structured information of the required project plan; the adjustment prompt word is used for indicating to perform plan content adjustment on the project plan fragment; and generating a target project plan according to the structured information of the required project plan. According to the embodiment of the invention, the dependence on a project manager can be reduced, and the project planning efficiency is improved.

We provide the system. [Solution] A means of saving the knowledge acquired during the progress of a project to a database, A method for generating advice for new project managers using knowledge, A means of providing the generated advice to the user's terminal, A system that includes this.

This application relates to the technical field of environmental impact assessment (EIA) project management, and in particular to a project management method, system, and storage medium for the EIA industry. The method includes: obtaining project orders and generating corresponding project tasks to be assigned based on the project orders; assigning the project tasks to the corresponding project managers; obtaining contract signing information and generating several project sub-items based on the project tasks corresponding to the contract signing information; generating a project topology diagram based on the project sub-items, the project topology diagram including topology points generated from the work results of the project sub-items, and several topology points satisfying preset correlation influence conditions being connected by topology lines; dynamically updating the project topology diagram at preset time intervals based on the work results of the project sub-items, and obtaining the corresponding topology results; and generating a project submission draft based on the topology results and the work results of the project sub-items. This application has the effect of improving the efficiency of EIA work.

A method and system for managing personnel profile information based on vector indexing is disclosed. The method first converts project manager profiles into high-dimensional vectors and constructs a vector index, with data consistency, fairness, and qualification compliance as multi-objective constraints. Next, real-time project requirements are converted into query vectors, and the vector index is used to match a set of candidate project managers. Finally, the MOPSO algorithm is used to search for feasible solutions, and non-dominated solutions are filtered using Pareto dominance relations, iteratively optimizing the optimal solution. The output is an interpretable result containing identifiers, matching scores, and constraint satisfaction status and reasons. This invention eliminates cross-system data conflicts through multi-feature comparison and source priority entity disambiguation mechanisms, ensuring the accuracy and timeliness of core information. Furthermore, relying on a multi-objective constraint set, optimization algorithms avoid irrelevant biases, ensuring that qualification review matching conforms to rules and regulatory fairness, thus comprehensively realizing the accuracy, fairness, and standardization of qualification information management.

The system according to this embodiment aims to enable project managers to focus on strategic tasks. [Solution] The system according to the embodiment comprises a data collection unit, an analysis unit, a proposal unit, and a dashboard unit. The data collection unit collects data on project progress, resource allocation, and risk factors. The analysis unit analyzes the data collected by the data collection unit and evaluates the project progress and risk factors. The proposal unit proposes resource allocation and task automation based on the analysis results obtained by the analysis unit. The dashboard unit visualizes the content proposed by the proposal unit.

The invention provides a tire project visual view generation method, system and equipment based on a data service bus and a medium, automation and timing / event-driven synchronization of cross-system data are realized through the data service bus, a unified data model taking a tire project as a core and a production number as a key tracking unit is constructed, and the data service bus is established. The method comprises the following steps of: establishing a project panoramic view by business roles such as a project manager in a self-service manner on the basis of the dimension and real-time data, defining project data dimensions specific to the industry, and adopting a low-code view generator, so that dynamic linkage of view data and a business system is realized, and regular update and safety management and control of information such as material inventory, project progress and process parameters are guaranteed; and full-process visual management of the tire project is realized.

The application relates to the technical field of artificial intelligence and project management, and discloses a project risk dynamic prediction method and system based on multi-modal fusion deep learning, wherein the project risk dynamic prediction method based on multi-modal fusion deep learning comprises the following steps: collecting multi-modal data of a target project, performing time alignment and quality inspection; performing multi-modal feature extraction and feature processing; performing multi-modal feature fusion; analyzing time sequence evolution rules and long-short term dependence relations; performing risk prediction and trend analysis; and performing risk attribution analysis and relief measure matching on multi-category risk prediction results; the application simultaneously captures short-term fluctuations and long-term trends through a multi-scale time window attention mechanism, thereby providing forward-looking decision support for project managers.