85 results about "Project execution" patented technology

The invention discloses a task scheduling optimization and feedback control method and system based on a causal graph structure, and relates to the technical field of task scheduling, and the method comprises the steps: integrating multi-source information, identifying an entity, constructing a directed edge connection entity, calculating an edge weight, and forming a task causal graph; performing deep analysis on the causal graph, and identifying risk nodes and propagation paths thereof in the current project; combining the edge weight and the node attribute, quantifying the risk propagation possibility and influence range, and generating a risk thermodynamic diagram; on the basis of the identified risk nodes and propagation paths thereof, mining controllable variables in a task scheduling process, constructing a scheduling optimization objective function, searching a scheduling solution space under constraint conditions by using a search method, and evaluating the influence of different strategies on a task network through multiple rounds of simulation, so as to improve the task scheduling efficiency. A current optimal task adjustment strategy is screened out and practically applied; and collecting data generated in a project execution process, and updating the causal diagram. The method is suitable for intelligent scheduling and fine management scenes of projects.

The invention discloses a human resource information management system and method based on big data, and relates to the technical field of human resources, and the system comprises a project demand analysis module which is used for extracting a skill list required by new project post personnel, determining task complexity, and generating skill parameter requirements; the employee screening module is used for obtaining the basic information of all the employees in service and dividing the employees in service into two types of crowds, one type is the crowd meeting the new project employment, and the other type is the crowd not meeting the new project employment, through big data analysis and multi-dimensional evaluation, accurate matching of the project demand and the employee ability is achieved, and the work efficiency is improved. Project execution quality and efficiency are improved, enterprise internal human resource potential is fully excavated, personnel can be reasonably allocated, and waste and idleness of human resources can be avoided.

According an embodiment of the present invention, a system processes requests to perform projects. The system comprises one or more memories, and at least one processor coupled to the one or more memories. The at least one processor processes a request in a natural language to perform a project via a hierarchy of machine learning agents. One or more machine learning agents of a management layer of the hierarchy determine and assign tasks for the project to one or more machine learning agents of an operation layer of the hierarchy based on the request. The at least one processor performs the assigned tasks by the one or more machine learning agents of the operation layer to perform the project. Embodiments of the present invention further include a method and computer program product for processing requests to perform projects in substantially the same manner described above.

The invention relates to the technical field of artificial intelligence, and particularly provides a project whole-process data tracking processing method and system, and the method comprises the steps: obtaining project planning data, extracting the relation between task information and tasks from the project planning data through a pre-training language model, and constructing a knowledge graph based on the relation between the task information and the tasks; acquiring project execution data from a plurality of data sources, and identifying task execution information from the project execution data; predicting a task progress based on a data sequence formed by all task execution information of the task, and adding state attributes for corresponding nodes of the knowledge graph based on the task progress; and analyzing an abnormal condition of a task execution state based on the knowledge graph after the state attribute is updated, analyzing an abnormal factor based on the project execution data, and generating a processing scheme for the abnormal factor by utilizing a pre-constructed knowledge base. According to the invention, the refined and intelligent level of project management is improved.

The invention provides a method, a device, equipment and a medium for generating an engineering project management digital model, and the method comprises the steps: collecting original data related to engineering project features, carrying out the preprocessing, forming a standardized project data set, constructing a space-time reference frame based on the data set, fusing a multi-dimensional feature tensor of multiple engineering features, and carrying out the construction of a space-time reference frame. The method comprises the steps of generating a project progress node and an integrated feature tensor, fusing the project progress node and the integrated feature tensor to generate a multi-source association graph containing entity relationships and feature semantics, generating a verified engineering project management digital model according to the project progress node, the integrated feature tensor and the association graph, and dynamically updating and optimizing the model in response to change data in project execution. According to the method, the problems of data dispersion, lack of association and static stiffness of the model in a traditional method are solved, automatic construction and dynamic evolution from multi-source heterogeneous data to an intelligent decision-making model are realized, and the accuracy, real-time performance and intelligent level of project management are remarkably improved.

The invention provides an inertial sensing range and sensitivity adjusting method, which belongs to the technical field of parameter adjustment, and comprises the following steps: after an item opening instruction is obtained, obtaining basic information of a moving body, and calling an adaptive sensing range according to the basic information; different detection nodes are set in the whole process before a project is started, the feedback degree of a moving body is recorded in sequence when execution is carried out to each node, values of corresponding positions of an internal curve are increased or decreased according to the feedback degree, and corresponding sensitivity is dynamically set according to the internal curve. The feedback speed and external performance of the moving body are judged in the project execution process, and the follow-up content and links of the project are adjusted in combination with the action model library till the project is completed or closed. The inertial sensing range and sensitivity adjusting method provided by the invention can carry out specific dynamic adjustment according to the state of the moving body and the actual situation, has strong pertinence and ensures smooth completion of a project.

The invention relates to the technical field of project management, and particularly discloses a project management method and system based on an AI large model technology, and the method comprises the steps: collecting multi-dimensional project execution data, carrying out the data cleaning and feature coupling analysis of the multi-dimensional project execution data, and generating a normalized project feature tensor; inputting the task delay risk into a pre-trained time sequence prediction large model, and outputting a task delay risk probability distribution matrix; carrying out risk level label mapping based on the task delay risk probability distribution matrix, and generating a multi-level risk early warning signal; and in response to the risk event exceeding the preset threshold in the multi-level risk early warning signal, a resource redistribution scheme is generated, and a project manager not only can monitor the project progress in real time, but also can quickly adjust resource configuration when the risk occurs, thereby realizing dynamic management. The intelligent project management mode based on data driving not only improves transparency and controllability of the project, but also provides powerful technical support for successful implementation of the project.

The invention discloses a project combination adjusting method, and particularly relates to a project combination adjusting method and device based on dynamic risks and electronic equipment. The method comprises the following steps: acquiring support degree information corresponding to an existing project combination at a moment t-1, and acquiring risk influence information at a moment t; updating the support degree information based on the risk influence information to obtain updated support degree information at the moment t; judging whether the existing project combination meets a preset constraint condition or not based on the updated support degree information at the moment t; under the condition that the existing project combination does not meet the preset constraint condition, the adjustment cost corresponding to each project adjustment scheme is calculated, and the project adjustment scheme comprises an adjustment strategy executed by each existing project; and adjusting the existing project combination based on the project adjustment scheme with the lowest adjustment cost to obtain an updated project combination at the moment t. According to the method, the project combination can be dynamically adjusted according to the risk impact, and efficient allocation of resources is realized.

A large language model (LLM)-based method includes receiving, from a user terminal, a transition command to a project-type chat window and information regarding a project execution period; in response to receipt of the transition command, determining a context retention period for the project-type chat window using the information regarding the project execution period; automatically generating a prompt for generating, using the LLM, a response to a query input from the user terminal, wherein the prompt is automatically generated to include the second query and information on one of a plurality of topics corresponding to the project-type chat window designated in the second query, and the response is generated in consideration of contexts of a plurality of conversations during the context retention period of the project-type chat window; and transmitting the response received from the LLM using the prompt, as a response to the second query, to the user terminal.

The invention relates to the technical field of enterprise resource management, in particular to an enterprise management optimization method and system based on big data, and the method comprises the following steps: capturing data of employee skills, a project execution process and customer interaction according to enterprise resource planning in an enterprise, analyzing the captured data, and carrying out the multi-dimensional information classification processing; and constructing an enterprise resource comprehensive data set. According to the method, the flow and utilization efficiency of the resources is improved by establishing the graphic database to integrate the enterprise resources and converting the data elements into the network nodes and the connecting edges, and the resource flow and utilization efficiency is improved by identifying and analyzing the association strength of the nodes and the weights of the edges in the resource network. Through detailed flow path analysis, an enterprise can formulate a scientific resource allocation strategy according to market requirements and current resource situations, resource allocation and use are optimized after dynamic resource allocation is implemented, the strategy is adjusted in time by comparing and analyzing resource efficiency and cost effectiveness before and after optimization, and the market response speed and competitiveness of the enterprise are remarkably improved.

The invention discloses an engineering collaborative design management and control method and system based on digital twinning, and relates to the technical field of digital twinning, and the method comprises the steps: presenting a project design in a digital twinning model through a virtual reality environment based on a collaborative management matrix, carrying out the interactive design review and optimization, and generating an optimized design scheme; based on the optimized design scheme, the project team arranges task execution according to the design progress, and generates a task execution plan and resource scheduling data; monitoring actual execution conditions of the task execution plan and the resource scheduling data, and generating a quality control report by analyzing execution deviation and performing quality control; by automatically generating the task execution plan and the resource scheduling data, the design quality and the project management efficiency are improved, and the flexibility and the real-time performance in the project execution process are enhanced.

The invention discloses a dynamic optimization method for research and development project resource allocation, which comprises the following steps of: acquiring task state data and resource state data in a project execution process, constructing multi-source data and transmitting the multi-source data to a data processing center in real time; performing real-time monitoring on the multi-source data to obtain key indexes and resource pool states of research and development projects; based on a preset triggering rule, judging whether a triggering condition of resource redistribution optimization is met or not, and when the triggering condition is met, constructing a multi-target dynamic resource optimization model; solving the optimization model, generating a resource allocation scheme, and performing multi-dimensional evaluation to determine a final scheme; and executing the final optimization scheme, updating the project resource allocation state, and continuously collecting execution effect data for optimization adjustment, the research and development project resource real-time monitoring and dynamic optimization are realized, and the resource utilization efficiency and the execution quality of the research and development project are improved.

The invention relates to the technical field of science and technology intermediary services, in particular to a project management system which comprises a project information management module, a project progress tracking module, a resource docking matching module, a project execution and monitoring module, a communication module and a project achievement display module. And the project demand and the resource supply are accurately connected. The resource docking and matching module collects demand and supply information and shares the demand and supply information with the project information management module, so that task allocation is more scientific and reasonable. And the pre-estimation module cooperates with the project progress tracking module, pre-estimates resource investment time according to progress arrangement, and avoids resource idle waste. And the project execution and monitoring module performs task allocation according to the recommended resources, so that the resources are effectively utilized. The human resource recommendation unit recommends appropriate personnel according to task requirements and resource evaluation results, and the human resource utilization rate is improved.

To facilitate forming project execution plans.SOLUTION: A project support system 10 is configured to execute, by at least one processor, first processing s1 for acquiring requirements data 100, which records information related to requirement contents of a project, and second processing s2 for identifying departments most closely related to the requirement contents recorded in the requirements data 100.SELECTED DRAWING: Figure 1

The invention provides a project information processing method and device, equipment, a medium and a program product, and the method comprises the steps: responding to a field configuration operation for a node in a project, and displaying a field configuration interface; in response to an awakening operation for the work item of the work decomposition structure, displaying an interaction panel corresponding to the work item of the work decomposition structure in the field configuration interface; wherein the interaction panel comprises work items for displaying different levels of work decomposition structures; and according to different levels of work decomposition structure work items in the interaction panel, configuring a target field in a field configuration interface so as to establish a data transmission link between the target field and the work decomposition structure work items. According to the invention, information transmission between upstream and downstream nodes can be realized in a project execution process.

The invention provides a construction project cost analysis method and device, a storage medium and a program product, and relates to the technical field of construction cost analysis. Performing budget reverse decomposition operation on the current construction project by using the cloud computing service center to obtain a sub-item project parameter set, geographic position data, sub-item budget constraint conditions and a sub-item project optimization strategy; a background database is used for executing missing parameter influence operation on the subentry engineering parameter set according to the geographic position data and the material supply chain data, and a cost influence weight is obtained; key parameter locking operation is executed on the front-end application software according to the cost influence weight, so that key parameters are obtained; and utilizing a background database to generate a cost decision analysis report according to the key parameters, the sub-item engineering parameter set, the sub-item engineering optimization strategy and the sub-item budget constraint conditions. The technical problem that the parameter processing efficiency is low in the construction project cost analysis process in the prior art is solved.

The invention discloses a BIM (Building Information Modeling)-based track signal equipment configuration management method, which comprises the following steps of: tracking a change state of a material by taking a component number and a serial number as a unique identification code of a hardware configuration item; according to the design file of the material, establishing a BIM model of the material in a BIM system; the BIM system uses a two-dimensional code tag as a carrier for configuration information management, and a unique two-dimensional code tag is set for each hardware configuration item; according to the design file of the material, based on the distributed serial number, exporting the two-dimensional code label of the assembly part from the BIM system, and recording the configuration information of the current-level material and the sub-level material; after the equipment is installed on site, registering or supplementing configuration information of the installed equipment in the BIM system; and during project execution, exporting the hardware configuration management database under the project through the BIM system, and cutting according to the requirements of each project. According to the invention, online real-time configuration management of the rail transit signal equipment in the stages of construction, operation and the like is realized.

The invention provides a project progress and quality collaborative management method, and relates to the technical field of project management, and the method comprises the steps: obtaining a plurality of pieces of multi-dimensional state data of a project execution process; performing standardization processing on the multi-dimensional state data to obtain a multi-dimensional state vector; determining a mahalanobis distance between the multi-dimensional state vector and each clustering center, and taking a state category corresponding to the clustering center with the minimum mahalanobis distance as a current integrated management level; and based on the integrated management level, identifying a causal influence type, defect characteristics of the key task and a downstream propagation path, generating a basic management decision scheme or a management collaborative optimization suggestion, and converting the basic management decision scheme or the management collaborative optimization suggestion into a correction plan scheme. A first causal value of progress to quality and a second causal value of quality to progress are obtained, and a directional dependency relationship between progress and quality is identified. In this way, a targeted plan scheme is generated according to the dependency relationship, and the management precision is improved.

Embodiments of the present disclosure include systems and methods for managing revisions in complex projects. Certain embodiments facilitate efficient tracking, monitoring, notifying, and implementation of revisions to project artifacts, such as commodities, drawings, and documents, thereby enhancing collaboration and reducing errors during project execution.

The application discloses a financial integration platform and a data processing method for application of the same, relates to the technical field of financial management, and comprises the following modules: a project library construction module, which establishes a unified project management model, defines project attributes through a hierarchical structure, and associates full life cycle information of budget preparation, execution and performance evaluation for each project node; a budget association generation module, which generates a department budget draft according to distribution rules, and adjusts a mechanism to associate budget preparation and project execution progress; an index dynamic management module, which decomposes a ratified budget result into executable indexes in stages, and locks, adjusts and recycles the executable indexes according to project dimensions; a payment control module, which checks payment conditions based on project budget balances and contract performance states; and an emergency and data maintenance module, which performs local emergency payment when a network is interrupted, maintains cross-year project data, and realizes automatic association of budget execution data of historical projects and newly-built projects. The application improves the efficiency of financial management.

The invention discloses an engineering enterprise secondary management method and system. The method comprises the steps of obtaining project management and control target data issued by a primary management end of an engineering enterprise and multi-dimensional project execution data collected from secondary execution ends of the engineering enterprise; performing difference quantitative analysis on the project management and control target data and the multi-dimensional project execution data to generate a target and execution difference vector; inputting the difference vector of the target and the execution into a strategy generation model, and generating a corresponding management strategy of the secondary execution end; and issuing the management strategy to the corresponding secondary execution end for project management adjustment. According to the invention, the management efficiency and management quality of engineering enterprises can be effectively improved.

The invention discloses a geological exploration project plan management intelligent analysis system, and relates to the technical field of geological exploration, and the method comprises the steps: collecting and integrating data, forming a unified data set, and obtaining geological data; performing risk identification and assessment according to the geological data to obtain a risk assessment result; project planning optimization is carried out according to the risk assessment result, and an optimized project planning scheme is obtained; performing resource scheduling and task allocation according to the optimized project planning scheme to obtain a scheduling scheme; performing project execution monitoring according to the scheduling scheme to obtain execution monitoring data; performing cost control and budget analysis according to the execution monitoring data to obtain an analysis result; performing fund flow optimization according to the analysis result to obtain an optimization result; and performing project performance evaluation according to an optimization result in combination with real-time data of project execution. According to the invention, the accuracy of risk prediction and the adaptability of the model are improved, the storage and transmission speed of data is optimized, and the transparency and efficiency of project management are improved.

Embodiments of the present disclosure include systems and methods for managing revisions in complex projects. Certain embodiments facilitate efficient tracking, monitoring, notifying, and implementation of revisions to project artifacts, such as commodities, drawings, and documents, thereby enhancing collaboration and reducing errors during project execution.

The application provides a project progress and quality collaborative management method, relates to the technical field of project management, and obtains a plurality of multi-dimensional state data of a project execution process; the multi-dimensional state data is subjected to standardization processing to obtain a multi-dimensional state vector; Mahalanobis distance of the multi-dimensional state vector and each cluster center is determined, a state category corresponding to the cluster center with the smallest Mahalanobis distance is taken as a current integrated management level; based on the integrated management level, a cause-and-effect type, a defect feature of a key task and a downstream propagation path are identified, a basic management decision scheme or a management collaborative optimization suggestion is generated and is converted into a rectification plan scheme. A first cause-and-effect value of progress on quality and a second cause-and-effect value of quality on progress are obtained, and a directional dependence relationship between progress and quality is identified. According to the dependence relationship, the application generates a targeted preplan scheme, and management accuracy is improved.

This invention relates to the field of software development technology, specifically to a software compilation method, system, device, and storage medium based on Jenkins. The method includes: pre-setting a manifest file describing the project structure and building a base build image encapsulating a complete compilation environment; pulling the full code of each project to a physical server; triggering an automated compilation task when a commit event occurs in the code repository; the task updating the manifest file according to the commit information and generating an updated manifest file with a sequence number; performing incremental pulls on the physical server for the changed projects based on the updated manifest file; synchronizing the code to a container environment started by the base build image via a local Git HTTP server; and finally performing automated compilation within the container. This invention can significantly improve the compilation efficiency of large projects, completely eliminate environmental differences, and enhance the stability and reliability of the automated process.

This application provides an intelligent recommendation method and device for project management tasks, which is beneficial to improving project management efficiency. The method includes: based on the execution team and project information of the target project, selecting at least one historical project executed by the execution team that shares the same project information as the target project from multiple historical projects. The project information includes at least one of the following: the project type of the target project, the role of the execution team in the target project, or the implementation cycle of the target project. Each historical project includes a project execution phase and the corresponding task; determining the project execution phase in the at least one historical project that meets a first preset condition as the target project execution phase of the target project; determining the task in the at least one historical project that meets a second preset condition as the target task of the target project; and outputting a recommendation result based on the target project execution phase and target task.

The invention discloses an infrastructure contract intelligent management and control method, system and device based on artificial intelligence and a medium, and belongs to the technical field of natural language processing, and the method comprises the steps: automatically converting the core obligation terms of an infrastructure contract into a structured contract WBS knowledge graph through the natural language processing technology, and forming a contract obligation map through binding performance conditions; in the project execution process, the system identifies the event entity in the performance data in real time and automatically associates the event entity to the corresponding node of the knowledge graph, and finally, automatic performance monitoring of contract obligations based on event triggering is achieved. According to the method, the dynamic contract WBS knowledge graph is constructed, semantic analysis and graph reasoning technologies are combined, intelligent management of contract obligations and accurate association of performance events are achieved, and the intelligent level of engineering management and control is improved by means of an automatic review and risk early warning mechanism.

This invention provides a method and system for calculating the construction progress and cost variances of power transmission and transformation projects. The method includes performing multivariate correlation analysis on construction period data to calculate the planned duration of each process; identifying critical path processes that affect the total project duration, determining the time percentage of each critical path process within the critical path, and calculating the total project duration based on the time percentage of each process within the critical path and the planned duration of each process; determining alternative project execution plans based on the total project duration; calculating the personnel and machinery costs of each process based on the alternative project execution plans; accumulating the costs of each process, and comparing the cost differences between different alternative project execution plans. This invention develops a quantitative analysis tool for the correlation between construction period and cost through an innovative method, constructing a multi-dimensional linkage model of "schedule-cost-resources" to accurately quantify the intrinsic relationship between construction efficiency losses and cost fluctuations, avoiding errors from empirical estimations.

The invention discloses a home decoration digital management system, and belongs to the technical field of home decoration management. The system comprises a design verification module, a project execution management module, a client and contract management module and a data tracing module. The design verification module is used for collecting customer demands and generating a design scheme and scene simulation data confirmed by a customer; the project execution management module executes a construction plan and quality control based on the confirmed scheme; the client and contract management module stores client information and manages a payment process; and the data tracing module records whole-process data from demand acquisition to project acceptance. According to the invention, through constructing full-process digital closed-loop management, it can be ensured that the decoration effect accords with the customer expectation from the source, the problems of delivery disputes and difficult collection of tail money caused by design inconformity are effectively solved, and the construction quality and project management efficiency are improved at the same time.