18 results about "Project implementation" patented technology

The invention relates to a project file tracking and polling method, system and equipment based on a project full life cycle, and relates to the technical field of project management, and the method comprises the steps: innovatively setting a directory for a project full life process, analyzing a project file full life cycle file, and controlling a project implementation process through a full life cycle table. And establishing a full life cycle coordinate system for each file to realize progress matching of the project and the archive data. And inputting the constructed full-life-cycle coordinate system matrix into the model, establishing a full-life-cycle coordinate system matrix mapping relation, and realizing internal understanding of data required by a project by learning internal connection, including accurate and efficient positioning of the data. Through the full-life-cycle coordinate system matrix of the model inspection project file, the difference change of the project file is quickly positioned, the leakage checking and the vacancy filling of the full-life data of the project are realized, and the technical problems of low project tracking and positioning accuracy, low efficiency and the like in the prior art are solved.

The present application belongs to the field of project risk prediction, and particularly relates to a project risk prediction avoidance method and system fusing deep learning, comprising: acquiring project reports and overall personnel configuration data, using a relation extraction decomposition model to extract project decomposition configuration data, secondly, constructing a project implementation node chain according to graph theory, thirdly, obtaining a set of correlated and non-correlated single sub-project from single sub-project implementation planning data in the node chain through a correlation algorithm, and then constructing a configuration risk model based on a particle swarm algorithm-optimized Bayesian algorithm, inputting the above-mentioned sub-project set to obtain single and correlated configuration risk probabilities, and finally constructing a personnel configuration adjustment factor according to the two risk probabilities, configuring the adjustment factor to the node chain connection relationship, and dynamically adjusting the initial configuration of personnel of each single sub-project until all nodes satisfy a preset risk probability threshold, so as to effectively cope with risks caused by personnel configuration in project implementation.

The present application relates to a kind of list-based management method and system based on multi-agent collaborative project, belong to project management technical field.Establish list in the whole life cycle of project approval, project implementation and project acceptance, carry out dynamic control to project, ensure the coherence of project from planning to landing, realize whole process penetration type management;Project approval stage, including establishing the basic situation list of project research unit, establishing project performance index list, establishing project investment budget list;Project implementation stage, including establishing project contract signing list, establishing project progress execution list, establishing project fund execution list;Project acceptance stage, including establishing project achievement delivery list, establishing project fund final account list, establishing project acceptance application list, establishing project archives handover list.The present application solves the problem that communication and coordination between cross-domain, cross-regional cooperation subjects are difficult, effectively improves work quality and efficiency.

This invention relates to the field of application development technology and provides a method for identifying duplicate change orders in engineering projects. First, engineering information is correlated and integrated to obtain an intermediate dataset with a logical order of project implementation. Text extraction and data cleaning are then performed on the intermediate dataset to form change order text data. Next, the change order text data are paired based on instruction keywords to form an instruction control group. Then, a dual-thread similarity framework is used to calculate the similarity between two change order text data in the instruction control group to obtain first and second similarity data. If the first and second similarity data meet the duplication condition, the instruction control group is considered as a duplicate change order. In this way, duplicate change orders can be automatically identified, allowing for timely detection of problems and mitigation of company losses.

The application provides a management method and system based on a special construction project planning implementation scheme, relates to the technical field of data management, and obtains project basic data through a preset database, performs risk identification and weight analysis, obtains a weight data set, performs scheme comparison and analysis, and obtains a scheme comparison sequence; performs forward verification and reverse verification according to the scheme comparison sequence, adjusts the scheme according to the forward verification result and the reverse verification result, determines a main selected scheme and an alternative scheme; and performs fit degree examination, analysis and adjustment on the main selected scheme and the alternative scheme, and obtains scheme management data; and the application greatly improves the intelligence and accuracy of project implementation management.

The invention discloses a graded early warning method and device for project progress, equipment and a storage medium. The method comprises the following steps: determining key activity execution data through a project key node according to project approval data of a target project; determining reference activity execution data through a project reference node according to the key activity execution data and the project approval data; determining implementation activity execution data through the project implementation node according to the reference activity execution data and the project approval data; determining a target activity execution path through the strategy management node according to the implementation activity execution data; the target activity execution path is verified through the strategy management node according to the reference activity execution data, the implementation activity execution data and the actual execution data, and a verification result is obtained; and through the strategy management node, according to the real-time progress verification result, early warning is performed on the target abnormal node. According to the scheme, the reliability and the real-time performance of project progress early warning are improved.

An offshore wind power project management system based on a project implementation progress, which relates to the field of project management. The system comprises a project management center, which comprises a project data collection module, an offshore data collection module, a project resource management module, a project collaboration and sharing module, and a project early-warning management module, wherein the project data collection module collects project data information and project personnel data information; the offshore data collection module collects project implementation data and meteorological forecast data; the project resource management module sets project resource nodes and corresponding user permission data on the basis of the project data information and the project personnel data information; the project collaboration and sharing module sets corresponding project planning data on the basis of the project implementation data and the meteorological forecast data; and the project early-warning management module performs analysis on the basis of the project planning data and the project implementation data, so as to acquire project early-warning information. The system improves the security of project management.

The invention discloses a project full-life-cycle investment evaluation method and system based on multi-dimensional cost-benefit analysis, and relates to the technical field of planning project benefit evaluation.According to the project full-life-cycle investment evaluation method and system based on multi-dimensional cost-benefit analysis, multi-dimensional benefit indexes are obtained, comprehensive benefit analysis is carried out, project profit analysis is carried out in combination with operation and maintenance cost, discount rate and project construction cost, and the project benefit evaluation efficiency is improved. Dynamic integration of multi-dimensional benefits and cost after project implementation is realized, and implementation effects of the project in a full life cycle can be truly reflected after external interference factors are eliminated; meanwhile, a traditional static financial evaluation framework is broken through, a dynamic multi-dimensional evaluation system with discount revenue as the core is established, the influence of multi-dimensional benefit indexes such as economic benefits, operation benefits and strategic benefits on project values is considered, the adaptability to different industry projects and scenes is guaranteed, and the method is suitable for popularization and application. And the comprehensive value of the project in the whole life cycle can be accurately evaluated.

The invention relates to the technical field of building design, in particular to a building project construction common problem intelligent diagnosis and design optimization suggestion method based on a historical case library, which comprises the following steps: constructing a building project construction historical case library, and carrying out structured storage and index construction on the historical case library; building information of a to-be-diagnosed building project is collected, feature extraction and structured conversion are carried out on the building information according to the index rule of the historical case library, and a to-be-diagnosed structured data set is obtained; and matching the to-be-diagnosed structured data set with the construction problem feature data in the historical case library, calculating feature similarity and screening a suspected problem set. According to the method, the case library is dynamically and iteratively managed, and feedback data is collected and integrated every time, so that the case library is continuously updated, the effectiveness and timeliness of a solution are ensured, the scheme can be adjusted and optimized according to feedback of actual project implementation, and the quality of the scheme is gradually improved.

The embodiment of the present application provides a kind of project whole process management method and device, at least two milestone nodes are established in bidding module, contract management module and technical report module, and from at least two milestone nodes, determine the parent milestone node and child milestone node of existence association, according to the implementation progress of project, current progress information is acquired by the whole process management system of project, when current progress information flag project implementation progress completes parent milestone node, trigger child milestone node start. Realize after the completion of parent milestone node, system automatically starts child milestone node, so as to remind the person in charge of child milestone node to fill in progress information in time, in turn advance, so as to link the whole process of bidding project, improve the connection and communication between departments, promote project progress in time, and reduce the number of staff responsible for the bidding project, reduce resource waste.

The invention relates to a project aid decision-making and risk prediction method based on a large model. The method comprises the following steps: acquiring project information related to a project; performing classified management and storage on the project information; before project implementation, according to project information, generating a project implementation plan, drawing a resource input trend chart in a project period, listing a risk problem list, and in the project implementation process, according to the project information, dynamically optimizing the project implementation plan, providing risk early warning, providing decision information for project implementation personnel, and generating a project implementation document; distributing project implementation tasks, pushing risk early warning and decision information, synchronizing project progress information, and updating project implementation documents; and evaluating the decision information and risk early warning effect, and carrying out model training and optimization. Dependence on a single expert is reduced, the management efficiency is improved, the consistency and scientificity of project planning are improved, the review decision process is accelerated, the project period is shortened, and precipitation, reuse and continuous optimization of project management knowledge are achieved.

This invention discloses a method for managing computer system integration projects, comprising the following steps: S1: Creating a project database and establishing a parent management terminal and child management terminals; S2: Classifying project information and formulating a project implementation plan, and inputting the project implementation plan into the project database; S3: Decomposing project work content and allocating it to the corresponding execution terminals of each management terminal; S4: Comparing the collected work progress data with the project implementation plan; S5: Constructing a dynamic knowledge graph based on the project task decomposition structure; S6: Real-time collection of multi-source heterogeneous data. This invention, by constructing a dynamic knowledge graph, structurally expresses multi-dimensional elements and their dependencies, allocation relationships, and temporal relationships. By real-time collection of multi-source heterogeneous data and updating the node attributes and association strength of the knowledge graph, the system can dynamically perceive the project execution status.

The invention relates to the technical field of information, in particular to an AI-based financial and accounting data intelligent processing method and system. The method comprises the following steps: receiving implementation process materials and finance and tax materials of a target project to be settled or accepted; based on the implementation process material, constructing project characteristic indexes including project granularity, complexity, one-way propulsion degree and acceptance complexity; obtaining a finance and tax management and control difficulty level of the target project according to the project feature index; when the difficulty level is high, finance and tax risk perception is carried out according to the compliance degree of each activity in the project implementation process; when the difficulty level is low, finance and taxation risk perception is carried out according to the combined expectation degree of the project implementation progress and the expectation plan; and based on the selected perception basis, obtaining a risk assessment result of the target project based on the response of a corresponding pre-trained risk identification model to the implementation process material and the finance and taxation material.

The invention relates to an international engineering project ESG management-oriented teaching method and system. The method comprises the steps of selecting an engineering project from a project database; according to the engineering project, loading a corresponding project ESG management standard requirement; generating an offline task table according to project parameters of the engineering project and project ESG management standard requirements; and receiving coping scheme data of different learners for each task in the offline task table, dividing the plurality of learners into different roles or groups according to project parameters, the plurality of coping scheme data and project ESG management standard requirements, and presenting project implementation scenes and scene event prompts round by round. Through the method, offline multi-role task-driven and online probability-driven three-dimensional index dynamic game systems are integrated, ESG management immersive decision training based on real international engineering projects is realized, and the blank that traditional teaching lacks dynamic quantitative feedback and actual combat experience is filled.

The invention discloses a planning project implementation effect evaluation method and system, and relates to the technical field of planning project effect evaluation.According to the planning project implementation effect evaluation method and system, a control group similar to a target project in characteristic is constructed, interference of external environment factors is stripped through index changes of the control group, and when the net contribution value and the contribution proportion value of the project are determined, the project implementation effect is evaluated. The influence of external factors on index improvement can be accurately eliminated, so that the implementation effect of the planning project is truly and accurately evaluated, the technical problem that the implementation effect of the planning project cannot be accurately evaluated due to the fact that interference of the external factors is difficult to eliminate in the prior art is effectively solved, and meanwhile through the scientific quantitative analysis process, the evaluation accuracy is improved. The accuracy and reliability of project effect evaluation are improved, and powerful decision support is provided for effect review and subsequent construction direction of the planning project.

This application relates to the field of project operation management technology, and in particular to a demand-driven project operation collaborative management system and method. The system uses a demand management module to perform structured parsing of user project requirements and generate demand data and user profiles; a project matching module matches project personnel qualifications, capabilities, and resources based on the demand data and user profiles, generating resource allocation results; a project collaborative execution module constructs a project workspace, records and tracks the project implementation process, forming execution trajectory data; and a project quality assessment module evaluates the project process and delivery results based on the execution trajectory data, outputting monitoring or alert information when anomalies or risks occur. This invention achieves closed-loop project operation management with precise allocation of project resources, traceable execution processes, and predictable risks, thereby significantly improving project implementation efficiency and delivery quality.

The application provides an AI-based engineering cost accounting and price reasonableness commenting system and method, which comprises: a project confirmation module for determining a project engineering for cost accounting and locking a target engineering; a data acquisition module for acquiring target project implementation data information in an enterprise database according to the target engineering; a cost accounting module for assisting in cost budgeting of the target engineering by AI and calculating actual engineering cost by big data analysis according to target engineering implementation information; and an analysis and commenting module for commenting on the price reasonableness based on engineering cost budget data and engineering cost actual data in combination with a commenting model to obtain a price reasonableness commenting result. The application realizes automatic and efficient accounting of engineering cost based on AI, without human participation, effectively reducing accounting errors, and also enabling price reasonableness commenting based on the accounting result, reasonably controlling project cost and expenses, and further ensuring the core competitiveness of the enterprise.

The invention discloses an AI-assisted building project supply chain optimization and intelligent decision-making system, which comprises a building project AI intelligent system, and the building project AI intelligent system comprises a project implementation management and control module, a dynamic price prediction module and an early warning system. According to the method, the cost input of a project proposed by a group can be reduced, the AI technology is utilized to realize data processing and analysis, the workload of manual data arrangement and pricing is reduced, the working efficiency is improved, the expenditure of the group in the aspect of manpower can be reduced, and meanwhile, the AI prediction can improve the accuracy of human-material-machine cost estimation, so that the accuracy of human-material-machine cost estimation is improved. According to the invention, a price prediction engine based on deep learning comprehensively considers multiple factors to carry out trend prediction on the price, and an early warning mechanism is established, so that a project manager can adjust a purchasing strategy in time, and the cost risk caused by material price fluctuation is reduced.