51 results about "Schedule (project management)" patented technology

An AI-driven project management system to optimize resource allocation and project schedules, including: a) a data entry module (101) configured to capture and process historical and real-time project data, including resource availability, task dependencies, and staff capacity; (b) a predictive analytics engine (102) that uses machine learning algorithms to analyse project data and generate predictive insights into potential risks, bottlenecks and inefficiencies; c) an intelligent planning module (103) that uses reinforcement learning and constraint optimization techniques to dynamically allocate resources and adjust schedules in response to changing project conditions; (d) a risk assessment module (104) that integrates natural language processing (NLP) and structured data analysis to identify emerging project risks and recommend risk mitigation strategies; and (e) a continuous learning framework(105) that refines AI models over time based on project results, ensuring better decision-making accuracy and adaptability for future projects.

A system (100) for adaptive real-time planning in construction projects using location and production feedback, wherein the system comprises: a data acquisition module configured to capture real-time data from construction site sensors, IoT-enabled devices, construction machinery, workforce systems, and material supply updates; a central processing engine configured to analyze deviations between planned schedules and actual site performance using adaptive planning algorithms; an intelligent feedback loop that integrates qualitative input from site managers, engineers and project managers to refine planning decisions; a visualization and dashboard module configured to display updated schedules, resource allocations, predictive alerts, and progress indicators in real time; and an integration and communication module configured to synchronize adaptive schedules with existing construction project management platforms, The system continuously updates and optimizes the schedules of construction projects to improve efficiency, resource utilization, and on-time completion.

The invention is suitable for the technical field of project management, and particularly relates to a project management method and system based on an AI large model technology, and the method comprises the steps: segmenting a project site into a plurality of blocks, configuring a key node in each block, determining the completion time of each key node, and generating a progress schedule; according to the method, video monitoring data of a project site are collected, resources of each block are determined, the resources at least comprise personnel and construction time, monitoring periods are set, and snapshots of two adjacent monitoring periods are intercepted from the video monitoring data. By determining the defect item and the priority item, resource configuration can be optimized, resources can be adjusted in time according to the progress schedule, it is guaranteed that the project is completed on time, by constructing the resource management pool, the project bottleneck can be visually displayed, the resources can be adjusted in real time, the overall progress of the project is accelerated, project management is continuously optimized, and the project management efficiency is improved. And the project management efficiency is improved.

The embodiment of the invention relates to a plan release method and device in project management, equipment, a medium and a program product. The method comprises: in a draft mode of a schedule for a work item, receiving at least one editing operation on the schedule, the schedule being configured to orchestrate one or more items for at least partially completing the work item; in response to a release operation for the plan table, presenting a publishable range of the plan table based on the at least one editing operation; and in response to a selection operation on at least one target item in the publishable range, publishing the at least one target item from the draft mode to the plan table.

The invention relates to the technical field of building management, in particular to a digital building management system based on BIM, and the system comprises a data collection module which collects the worker position information, equipment operation parameters and environment monitoring data of a construction site, and obtains a site data set; and performing time sorting and space mapping on the worker position information and the equipment operation parameters in the field data set to generate construction state data. In the invention, aiming at the problems that a project management mode is extensive, the digital management degree is not high and the business process is not efficient enough, the construction activity record can be generated by tracking and analyzing the positions of workers and equipment on the construction site, and the transparency and the execution efficiency are improved. Through comprehensive comparison of construction records and BIM model data, project monitoring is more accurate, and activities deviating from a predetermined plan can be found in time, so that resource configuration and work arrangement are rapidly adjusted, and it is guaranteed that the project is completed on schedule. The intelligent matching of the acquired material position information and the demand data reduces the material waste, optimizes the cost management, and improves the resource utilization rate at the same time.

The invention discloses a project management method and device, equipment, a medium and a product. The method comprises the steps of obtaining a multi-source project data set of a target project and performing preset preprocessing to obtain a multi-source project standard data set; constructing a multi-dimensional project progress management and control model according to the multi-source project standard data set; acquiring real-time progress monitoring data, processing the real-time progress monitoring data according to the project progress management and control model, and determining project progress evaluation data and a project progress deviation result; and generating a project adjustment scheme according to the project progress evaluation data and the project progress deviation result. According to the technical scheme, the flexibility of project management can be effectively improved, and it is guaranteed that the project plan is completed on schedule.

The invention provides a project visualization full-process management method and system combined with a knowledge graph, and the method comprises the steps: firstly gathering multi-source project information units which cover project tasks, resources, progress and participant information in a project implementation process, and then carrying out the correlation analysis of the multi-source project information units; the method comprises the following steps: generating association relationship data including relationships such as inter-task preposition dependency, resource and task allocation and use, progress and task completion states, participants and task responsible execution and the like, establishing a project association map according to the association relationships, and describing association paths and interaction modes of all elements of a project; the project association graph is displayed on a visual management interface including graph display, information details, relation analysis and an operation control area in an interactive graph form, a user management instruction is responded, the project association graph and a corresponding multi-source project information unit are adjusted, updated and refreshed and displayed in real time, and the project management efficiency and quality are improved.

A dynamic AI-based resource planning system and calculator for optimizing fieldwork in renewable energy construction projects, the system comprising: (a) a data collection module configured to collect real-time and historical data from sources such as worker attendance records, weather data, equipment usage logs and project management software; b) a predictive analytics module configured to process the data using machine learning algorithms to predict work needs, potential project delays, and task prioritization; (c) a resource allocation module configured to dynamically allocate on-site workers to tasks based on forecast results, worker availability, skill levels and project schedules; (d) an interactive planning interface suitable for the visualisation, modification and simulation of personnel plans and project activities in real time; (e) a Smart Operational Resource Dashboard (SORD) configured to monitor and display key performance indicators, detect anomalies, and issue automatic alerts; and f) a reporting module configured to generate work, productivity and compliance reports, The system continuously adjusts labor deployment in response to changing on-site conditions to improve work efficiency and project results.

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.

The invention provides a project scheduling and resource configuration integrated optimization method considering time-resource balance, and the method comprises the steps: obtaining the information of a to-be-optimized project, and proposing a basic hypothesis according to the information; according to the basic hypothesis, constructing a dual-objective function model with the goal of minimizing the project construction period and the total cost; and solving the dual-objective function model by adopting a self-adaptive large neighborhood search algorithm based on a hypervolume contribution rate index to generate an optimal project scheduling plan and an optimal resource configuration plan. According to the method, on the premise of ensuring that the project is completed on schedule, resource consumption and cost expenditure are effectively reduced, the construction period is shortened, and the execution efficiency and the resource utilization rate are improved, so that the project scheduling and resource configuration effects are improved, and the method is particularly suitable for a complex project management scene pursuing cost benefit maximization under the condition of limited resources.

To provide a system for efficiently and exhaustively implementing project management office (PMO) tasks.SOLUTION: A system, as means for implementing project management office (PMO) tasks, collects information including exchanges of e-mails and utterances at conferences of persons concerned, project related documentation and artificial intelligence (AI) administration tables, and carries out PMO tasks, such as conference adjustment, task allocation, schedule management, and budget adjustment.SELECTED DRAWING: Figure 1

The invention relates to an intelligent integrated project management method based on an AI large model technology, and the method comprises the steps: decomposing a project and determining key nodes: segmenting a project site into a plurality of blocks, and determining the key nodes in each block according to the process logic and organization structure of the project, the method comprises the following steps: performing deep analysis on historical data of similar projects by using an AI large model based on a Transform architecture, determining reasonable completion time of each key node through an LSTM time sequence prediction algorithm in combination with characteristics and requirements of a current project, and generating a progress schedule. Through real-time analysis and simulation of project data by the AI large model, the resource demand and allocation scheme can be accurately determined, waste and shortage of resources are avoided, the resource utilization efficiency is improved, the project cost is reduced, the project progress can be monitored in real time, progress deviation can be found in time, and the future progress trend can be accurately predicted.

This invention discloses an intelligent project scheduling method and system based on multi-constraint optimization, relating to the field of smart project management. It constructs a multi-dimensional constraint model for the project, including task sequence relationships, resource skill matrices, construction space grids and capacity, and personnel risk coefficients. An initial feasible plan is generated based on the critical path method and heuristic resource balancing. The initial plan is then iteratively optimized using a multi-objective optimization algorithm to obtain the Pareto optimal plan. This invention improves the rationality and feasibility of project scheduling by constructing a multi-dimensional constraint model that comprehensively integrates various constraints such as tasks, resources, space, and personnel risks. By combining the critical path method and multi-objective optimization algorithms, a globally optimal plan is generated, achieving synergistic optimization of schedule, cost, resource balance, and personnel risk, thereby improving project construction efficiency.

The invention discloses a project management system based on data integration, relates to the technical field of project management, and solves the technical problems that in actual project management, key properties of all processes of a project are different, when the key process of the project is abnormal, the whole project may be stopped, and the project is overdue. The method comprises the following steps: acquiring full-process data of a project, dividing the project according to the full-process data, and determining an acquisition frequency; acquiring real-time data of the project based on the acquisition frequency; preprocessing the real-time data to obtain project data; performing abnormal early warning on the project according to the project data, and generating an early warning signal; adjusting the project based on the early warning signal; displaying the project data to related project personnel; obtaining adjustment data of project personnel; adjusting the project according to the adjustment data; and normal proceeding of the project can be ensured and the project is completed on schedule.

This invention specifically relates to a method for full lifecycle management and evaluation of enterprise information technology projects, belonging to the field of information technology project management technology. It includes: generating a software artifact knowledge graph based on software artifact information and its relationships contained in the four-dimensional quality evaluation index matrix, using requirement items, software architecture modules, code files, and test cases as entity nodes, and traceability and dependency relationships between entities as association edges. In this invention, a four-dimensional quality evaluation index matrix covering requirements, software architecture, code, and testing is established, expanding the project evaluation perspective from schedule and workload indicators to quality indicators within software engineering, enabling the quantitative identification of quality problems hidden beneath normal progress appearances.

The invention belongs to the technical field of engineering management, and provides an engineering progress management method and system based on an AI large model, and the method comprises the steps: carrying out the construction change analysis of the historical engineering information of different region units in a plurality of historical engineering project models of the same type after the division of different region units of an engineering project model; identifying change high-risk area units in different area units divided by the engineering project model; the method comprises the following steps: performing change type analysis on historical engineering information of a change high-risk area unit in a plurality of same-type historical engineering project models, identifying a main construction change type of the change high-risk area unit, performing stable analysis on a construction change range, and determining a construction change range prediction value; and in combination with the constructed construction period delay prediction model, the change prediction delay cycle of the change high-risk area unit is output, and the preset project total construction period is designed and updated, so that the controllability of the project progress is greatly improved.

A software project management system can store object data about components of a software development project, such epics, features, and stories. The software project management system can also store dependency objects that reflect dependency relationships between two or more components of the software development project. The dependency objects can track status information about the dependency relationships, including expected completion dates, acceptance criteria, and state indicators. The information stored in the dependency objects can be updated over time as information about the dependency relationship changes. The software project management system can also use the dependency objects to display information in a user interface about one or more dependency relationships, such as to indicate which dependency relationships are on track or behind schedule.

To easily adjust a schedule to provide a buffer in a case of a delay due to a risk.SOLUTION: A project management apparatus 1 comprises: a project information acquisition unit 11; a cost information acquisition unit 12; a schedule information acquisition unit 13; a risk target range information acquisition unit 14; a risk retrieval unit 16 for retrieving risk items that are targets of a project in a planning stage from risk items included in the project information on projects that have already been executed, and adding the retrieved items to the project information on the project in the planning stage; and a schedule adjustment unit 17 for calculating a cost buffer and a schedule buffer for the target range of delays due to risks of the project in the planning stage based on the project information, cost information, schedule information, and risk target range information of the project in the planning stage, and adjusting the schedule information of the project in the planning stage by adding the cost buffer and the schedule buffer.SELECTED DRAWING: Figure 1

A software project management system can store object data about components of a software development project, such epics, features, and stories. The software project management system can also store dependency objects that reflect dependency relationships between two or more components of the software development project. The dependency objects can track status information about the dependency relationships, including expected completion dates, acceptance criteria, and state indicators. The information stored in the dependency objects can be updated over time as information about the dependency relationship changes. The software project management system can also use the dependency objects to display information in a user interface about one or more dependency relationships, such as to indicate which dependency relationships are on track or behind schedule.

This invention provides a BIM-based method and system for dynamic management and optimization of project schedule and cost, belonging to the field of project management and optimization technology. It includes constructing a digital twin platform with real-time sensing capabilities based on a BIM model and multi-source sensor data; importing schedule plans and cost baseline data to establish a schedule-cost correlation model, calculating a comprehensive deviation value, and automatically generating multiple sets of optimization schemes containing resource allocation, process organization, and cost control parameters; performing parallel simulations on the digital twin platform to obtain schedule and cost prediction results, conducting multi-objective evaluation, selecting the optimal scheme, and issuing it to the site for execution; continuously collecting actual execution data and comparing it with simulation results; when the deviation exceeds a threshold, updating the schedule-cost correlation model in the digital twin platform using actual data to achieve adaptive evolution and form dynamic collaborative management and control of schedule and cost. This invention can effectively improve the accuracy and efficiency of schedule and cost management and reduce project risks.

System (100) for unified resource forecasting and earned value management (EVM) across multiple project platforms, comprising: a) a data integration module configured to extract and synchronise project-related data from multiple external project management platforms; (b) a resource forecasting module configured to analyze historical and real-time data to predict future resource requirements using artificial intelligence (AI) or machine learning algorithms; c) an Earned Value Management (EVM) module configured to calculate performance metrics including Earned Value (EV), Planned Value (PV), Actual Cost (AC), Cost Performance Index (CPI) and Schedule Performance Index (SPI); d) a real-time dashboard module configured to visually present project data, performance indicators and predictive insights through interactive graphical interfaces; (e) an alerting and notification module configured to generate automatic alerts based on deviations in performance metrics or resource thresholds; (f) a collaboration module configured to facilitate communication with stakeholders, task allocation and dissemination of updates; g) and an analysis and reporting module configured to generate customized reports, trend analysis and predictive insights, h) the modules being interconnected by a centralised processing unit to enable integrated real-time project management and resource optimisation.

The application provides a large model-based construction schedule plan WBS automatic generation method and system, and relates to the technical field of engineering construction project management, wherein the method comprises the following steps: performing supervised fine-tuning and reinforcement learning training on a basic large language model to obtain a target large language model; inputting construction documents and / or BIM model data and prompt words of a target project into the target large language model to identify a first construction task item and a process level that are adapted to the prompt words; inputting construction drawings of the target project into a multi-modal large model to identify a second construction task item and supplement the first construction task item; performing standardized processing on the supplemented first construction task item, generating a hierarchical WBS tree according to a task granularity level to which a standardized construction task item obtained belongs and the process level. The application can fuse multi-modal information, automatically generate a construction schedule plan WBS, improve plan compilation efficiency, and promote digital management of construction projects.

The present invention relates to a technology for optimizing human, software (SW), and hardware (HW) resources generated in IT service development projects through dynamic automation. Specifically, the invention provides an integrated process in which (1) a machine learning prediction module (100) calculates future resource demand based on project management tools, server / network logs, SW license usage history, etc., (2) a decision engine (200) determines resource allocation logic, such as personnel reallocation, license increase / decrease, and server expansion / reduction, by referring to rule tables and priorities, (3) a resource control module (300) executes allocation / release commands for actual resources (personnel, licenses, servers), and (4) a monitoring module (400) collects and analyzes the above results and real-time project status to continuously correct prediction errors and decision logic. This enables the resolution of recurring issues during IT service development projects, such as manpower bottlenecks, license overloads or shortages, and server resource overuse or insufficient resources, effectively mitigating project schedule delays and cost increases. Furthermore, by continuously correcting discrepancies between the machine learning model and actual data during project execution through online or adaptive learning methods, it improves long-term accuracy and efficiently performs dynamic resource optimization. Consequently, various benefits are achieved, including shortened project schedules, cost reductions, and improved resource utilization. At the same time, managers can reduce their workload through automated resource allocation processes and further enhance project quality and stability.

The present invention relates to the field of digital management technology, and discloses a digital management method and system for engineering projects, wherein the method comprises: collecting multi-dimensional project information of the engineering project, and performing digital modeling and real-time synchronization processing based on the multi-dimensional project information to obtain a digital model of the project; performing deep learning analysis and multi-scenario simulation on the digital model of the project to generate a project budget plan; performing fuzzy comprehensive evaluation and procurement planning on the project budget plan to obtain a dynamic supply chain plan, and performing progress management on the dynamic supply chain plan to obtain an adaptive progress plan; performing risk prediction and association rule mining on the adaptive progress plan to obtain a dynamic risk list of the project; performing knowledge graph construction and case reasoning analysis on the dynamic risk list of the project to construct an engineering project management knowledge base, and the method improves the overall efficiency and quality of project management.

This invention discloses a schedule delay early warning and correction system and method based on project management data, belonging to the field of engineering project management technology. The system includes: a schedule planning and data management module for establishing and associating structured schedule plans with multi-dimensional data; a schedule monitoring and event triggering module for real-time monitoring and generating delay events when deviations exceed thresholds; a multi-dimensional impact coupling analysis engine for synchronously propagating schedule delay events, quantifying costs, and assessing risks, and outputting a comprehensive report; and an intelligent deduction and decision-making module for correction schemes, automatically generating multiple correction schemes based on the report and performing simulations, using visual comparisons to assist decision-making. This invention achieves multi-dimensional automatic coupling analysis and intelligent decision support for schedule, cost, and risk, forming a complete closed loop from early warning and analysis to scheme optimization, significantly improving the initiative and scientific nature of project management.

The present invention discloses a method for managing elevator shaft template construction projects, which specifically relates to the field of construction project management and is used to solve the problem of dynamic process adjustment. The method introduces dynamic process sorting into construction management, uses real-time monitoring data to obtain the status of the previous process, and constructs process dependency and flexibility indexes to quantify the dependency and flexibility between processes. Based on this, a multi-level hierarchical analysis method is used to calculate the process startup adaptation index and evaluate the feasibility of starting the subsequent process. For the subsequent process that cannot be started directly, it is decomposed into sub-steps, and the execution conditions of the sub-steps are evaluated using resource independence coefficients, time flexibility coefficients, etc., and the impact on subsequent sub-steps is analyzed to ensure that there will be no adverse effects on subsequent construction. Flexible construction under tight construction period or delay of the previous process is realized, process coordination and resource allocation are optimized, efficiency is improved, delays are reduced, and precise control and efficient management are achieved.

The embodiment of the invention discloses a project management method and device and electronic equipment. According to one specific embodiment, the method comprises the steps that a first plan table of a first work item is displayed, and the first plan table comprises first item information; displaying a scheduling dependence expansion control of the first item; in response to a trigger operation on the scheduling dependency expansion control, displaying a scheduling dependency display interface; in the scheduling dependency display interface, the scheduling dependency item set of the first item is displayed, and the planned scheduling of the first item is determined based on the scheduling dependency item set. Therefore, a new project management method is obtained, the scheduling dependency item of the first item can be displayed in a centralized manner, the viewing and operating efficiency is improved, and the project management efficiency is further improved.

The present invention discloses a method based on software project management risk identification, which relates to the technical field of software project management. The method divides various software module projects in a software project, and when a software module project receives an adjustment demand from a customer, performs an in-depth analysis on the progress of each software module project, promptly determines whether the software module project has a progress risk, and when the software module project has a progress risk, accurately analyzes the risk level of the entire software project through the correlation between the software modules, accurately understands the progress risk of the entire software project brought by customer demand, and facilitates the subsequent formulation of corresponding risk adjustment measures.

The disclosed embodiment discloses a view drawing method, device, electronic device and storage medium. It includes: when a view drawing control is triggered, a target filtering condition is obtained; according to the target filtering condition, target data to be processed is determined from the project management data corresponding to the target user; wherein the project management data includes data to be processed corresponding to at least one project, and the data to be processed includes project personnel information; based on the target project personnel identification and corresponding schedule information in the target data to be processed, a personnel scheduling view is generated. The technical solution of the disclosed embodiment realizes that the corresponding personnel scheduling view can be generated without importing data, and the technical effect of improving the convenience and efficiency of view drawing is improved.

The invention relates to a project management system based on software development, which belongs to the technical field of software development management, and comprises a user role and a data layer, the output end of the user role is in signal connection with a function module layer; the function module layer comprises a project planning and demand management module, a task and workflow management module, a resource management module, a time and progress management module, a risk management module, a quality management module, a communication and cooperation module, a report and analysis module and a user permission and safety management module; and the project planning and demand management module is used for defining a project target, a project range and a project demand, and providing a basic framework for subsequent execution. According to the project management system based on software development, a comprehensive, collaborative and efficient software development project management ecological system is constructed; real-time sharing of information and seamless connection of processes are realized, the overall success rate and delivery quality of a project are remarkably improved, and the advantages of high agility, high success rate and high delivery quality are achieved.