407 results about "Project management" patented technology

The invention discloses a method for analyzing a matching degree between a demand and an output result based on text semantics. The method comprises the following steps: step 1, labeling a data set; step 2, technical document preprocessing; 3, training and predicting a single-parameter model; 4, integrating prediction results of the multi-parameter model; the method has the beneficial effects thatthe method is simple; deep learning and the NLP technology are applied to the field of project association degree calculation of enterprise project management for the first time. Calculating an association matching degree between the two projects according to project requirements and result description; the associated project positioning difficulty is effectively reduced; meanwhile, the demand side can be helped to quickly and efficiently locate high-quality projects adapting to the demand of the demand side; time and resource investment for achievement screening and matching are greatly reduced, the association matching degree between projects is calculated by means of text data of existing project achievement technical documents and project declaration guidelines, and then large enterprises are assisted in screening high-quality projects with the high matching degree in the project bidding and tendering link.

A system and method for collaborative creation and management of intellectual property (IP) projects is disclosed. The system includes a server configured to dynamically assign roles and permissions to participants based on predefined criteria. A graphical user interface (GUI) facilitates real-time collaboration, editing, and version control, while a semantic analysis engine ensures compliance with intellectual property standards and assesses content novelty. Predictive analytics generate metrics, such as patentability scores and inventorship overlap, to guide project development. Contributions are electronically tracked and stored in a secure, non-transitory computer-readable medium alongside generated metrics. The system supports role-specific recommendations, automated notifications, and integration with external data sources for enhanced functionality. Participants can visualize contributions, resolve conflicts, and simulate commercialization outcomes, enabling efficient project management and innovation. This invention improves the collaborative development process, ensuring compliance, enhancing productivity, and maximizing the value of intellectual property assets.

The invention provides a building engineering project scheduling method based on multi-objective dynamic microphone optimization, and the method comprises the steps: firstly, building an optimization model with the minimization of the construction period, the minimization of the cost and the minimization of the resource fluctuation as targets, and enabling an objective function to cover the total construction period, the total cost and the resource fluctuation variance; secondly, designing an improved multi-target dynamic microphone optimization algorithm which ensures the feasibility and diversity of solutions through a dynamic elite retention mechanism, a mixed position updating rule, a three-layer constraint processing mechanism and a dual-threshold convergence monitoring system, so as to improve the robustness of the dynamic microphone optimization algorithm; and finally, solving the problem of the constructional engineering project by adopting a multi-target dynamic microphone optimization algorithm to obtain a construction project scheduling scheme. According to the method, on the premise of meeting resource limitation and task logic relations, the project construction period, the total cost and the stability of resource use are collaboratively optimized, automatic and intelligent optimization of the project scheduling process is realized, and the project management efficiency and scientificity are improved.

The invention discloses an intelligent project implementation management system and method based on multi-source perception fusion, and aims to solve the problems of information isolated island, response lag, experience dependence, extensive management and control and the like in an engineering project. According to the system, multi-source data acquisition is carried out through an Internet of Things sensor, a video monitor, a mobile terminal, a BIM / GIS, a project management platform and the like, and after space-time alignment and standardization processing are carried out, a unified situation awareness view is constructed by adopting a hierarchical fusion strategy; performing real-time intelligent evaluation and prediction on progress, quality, safety, cost and resources based on the fused data; a rectification, scheduling or early warning instruction is automatically generated, and a sensing-analysis-decision-execution closed loop is realized by pushing and linking a field execution system through multiple channels; according to the method, the safety prevention and control, quality control and progress performance capabilities are remarkably improved, the accident rate and cost are reduced, and project management is promoted to be transformed and upgraded to a refined, active and self-evolution direction.

The invention discloses a water conservancy project management method and system based on multi-source inspection data fusion and correlation analysis, and relates to the technical field of data processing. According to the method, hierarchical coding is performed on the inspection data in a unified acquisition period, and a three-layer envelope structure is constructed, so that time-space integrated organization of multi-source inspection information is realized, cross-source data is enabled to obtain structural consistency expression, and the accuracy and traceability of data fusion are improved; according to the method, a joint positioning point is established in a time envelope layer and a collaborative labeling identifier is distributed in a space envelope layer, so that collaborative labeling entries with synchronous semantics are formed by data of different sources, and the alignment capability and the contrastive analysis efficiency of inspection information are remarkably improved; by means of construction of a step-by-step linkage association link, continuous evolution of a water conservancy structure state can be presented on a time sequence, meanwhile, spatial-temporal characteristics can be synchronously captured in combination with generation of dynamic association paragraphs, and the recognition sensitivity of abnormal changes is enhanced.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a search and chat generative interfaces, which may be used to produce generative answers, identify relevant content, and take actions within a respective content collaboration platform.

The invention relates to an application that utilizes artificial intelligence to enhance project management in construction and repair industries. The system includes a user computing device, an application server, and a database server. The application server processes project data, including blueprints, to generate materials lists, integrates with online marketplaces to facilitate purchasing, and employs machine learning for product recommendations. The system also uses predictive analytics to forecast project deliveries and prevent backorders, while optimizing resource allocation through efficient supplier and material selection. The software application features an AI-powered chat, job planner, marketplace, and cart, providing a comprehensive platform for real-time collaboration among contractors, suppliers, and manufacturers. This innovation streamlines project workflows, reduces errors, and improves overall efficiency in managing construction and repair projects.

The invention provides a research and development project classification method and system based on an intelligent label, and the classification method is applied to the classification system which comprises a preliminary recognition processing module, an achievement type prediction processing module, a classification label labeling module, a circulation auditing and filing module and a project execution monitoring module. The method specifically comprises the steps that after information cleaning and standardization processing are conducted on project basic information, project research and development attributes are obtained, information verification and uncertainty evaluation are conducted according to project related documents, research and development achievement types are predicted, and automatic classification labels are matched and labeled according to the project research and development attributes and the research and development achievement types. And correcting the automatic classification tag according to the auditing information of the multiple auditing subjects, determining a project classification tag, performing project management and archiving, and identifying project deviation according to the project classification tag in the execution process to trigger early warning and project classification tag updating. By automatically matching the classification labels and correcting the classification labels, the classification efficiency and accuracy of research and development projects are effectively improved.

A computer-implemented method for defining and creating a request intake flow for an issue tracking system is described. Embodiments described herein include systems and techniques for creating custom portal intake flows for an issue tracking system. The systems may include a user interface that allows portal intake flows to be generated and the user to select the information and workflow for an intake flow during the generation process. Embodiments are also directed to system and methods for creating dynamic summaries for issues managed by an issue tracking system. The dynamic summaries may be generated using a generative output model, as described herein, and provide information to a user about a current status, history or other events associated with an issue. Embodiments are directed to systems and methods for using a generative output engine to provide suggestions for creating a project management interface for an issue tracking system.

The invention relates to the technical field of power system project management, and discloses a power grid science and technology project acceptance material examination method and system. The method comprises the steps of obtaining power grid science and technology project acceptance materials containing different file formats, and obtaining multi-modal data; extracting structured information and semantic features in the multi-modal data by using a pre-constructed multi-modal lightweight model to obtain a multi-dimensional data result; selecting a large semantic model adaptive to the power grid scene, and performing deep analysis on the multi-dimensional data result according to the large semantic model to obtain a deep analysis result; reviewing the multi-dimensional data result and the deep analysis result according to a predefined compliance reviewing rule base to obtain a material reviewing result; and converting the material review result into a structured review report through standardization processing. According to the invention, intelligentization, precision and high efficiency of power grid science and technology project acceptance material examination are realized.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

The invention discloses an integrated power transformation engineering project full-process comprehensive management system, and relates to the technical field of electric power engineering management. The system comprises a unified data center platform, a full-life-cycle management module group, an intelligent analysis and decision support engine and a cooperative work interface. Unified storage and management of multi-source heterogeneous data are realized, all stages of planning, design, purchasing, construction and transfer operation and maintenance are covered, and seamless business connection and data linkage are realized; progress prediction, cost hyper-branched automatic traceability and security risk dynamic early warning are provided; a unified operation interface is provided for all participants; according to the invention, the problems of information island, process disjunction and risk early warning lag in a traditional management mode are effectively solved, the integrated, intelligent and visual management of the whole process of the project is realized, and the project management efficiency, the cost control capability and the safety risk prevention and control level are remarkably improved.

A multi-dimensional data processing system is disclosed for the automated ingestion, normalization, and computational mapping of project data across spatial, temporal, and regulatory dimensions. The system operates by ingesting diverse datasets—including two-dimensional schematics, three-dimensional data models, cost structures, and workforce logistics—and normalizing them within a unified schema. A dimensional calculations model enables the system to computationally align normalized data with spatial zones, project phases, and operational constraints, structuring it for further computational processing. By integrating this mapped data within a coordinated digital environment, the system applies task sequencing and resource allocation algorithms, generating optimized project plans that support complex, multi-dimensional data interoperability. The structured data is further configured for display through an interactive visualization interface, allowing computational resources to facilitate real-time analysis and adaptive data-driven project management.

The invention relates to the technical field of construction management, in particular to a BIM (Building Information Modeling)-based engineering supervision management system and method.According to the BIM-based engineering supervision management system and method, spatial positions and states of construction machinery, vehicles and personnel are captured in real time through a sensor network deployed on site, and a core dynamic spatial conflict calculation module is used for calculating the safety of the construction machinery, the vehicles and the personnel according to a preset safety rule base; and millisecond-level conflict detection and prediction are carried out on the real-time dynamic safety envelope lines of the moving objects. And after potential risks are found, the system sends early warning of different levels from prompting to forced intervention to related personnel, so that a complete management closed loop from active perception and intelligent prediction to co-processing is constructed. Therefore, through pre-virtual simulation and in-process real-time intervention, the risk of major safety accidents such as collision and overturning caused by space conflicts is greatly reduced, and life safety is guaranteed. And by optimizing the construction space and logistics planning, shutdown and rework caused by conflicts are reduced, and the construction efficiency and the project management refinement level are improved.

The invention relates to the technical field of property right project management, in particular to a dynamic management system and method for property right project state tags. The method comprises the following steps: a data acquisition and processing unit acquires project data and preprocesses the project data; a state label system construction unit constructs a multi-level state label system by using a property right project full life cycle process based on the preprocessed project data; and the state reasoning and dynamic updating unit is used for identifying the change trend of the project state based on the multi-level state tag system by adopting a level state machine model, generating a state tag set, dynamically updating the tag set when a project business event occurs, and generating a dynamically evolved state tag set. According to the method, a hierarchical state machine model and a link correction mechanism are introduced, a label set is dynamically updated when a service event is triggered, and structure-level compensation is carried out on inference interruption caused by data missing or cross-system inconsistency.

The invention relates to the technical field of intelligent power grid project management, in particular to an electric power project management method and system based on task disassembly and agent orchestration, and the method comprises the following steps: S1, disassembling a fuzzy natural language demand inputted by a user based on a natural language model and a knowledge graph, and forming a structured task sequence; s2, receiving the task sequence by the Agent arrangement layer, respectively distributing a plurality of tasks contained in the task sequence to each preset Agent, and carrying out task processing through a preset special AI Agent in the Agent; and S3, constructing a virtual environment for workflow execution by adopting a simulation method based on a state space, performing a prospective test on the steps S1 and S2 through the virtual execution environment, and performing continuous learning optimization based on historical execution data. According to the method, power field knowledge and large language model capability are deeply fused, and end-to-end intelligent generation from natural language requirements to executable workflows is realized through a knowledge graph, multi-agent cooperation and reinforcement learning technologies.

The invention discloses a photovoltaic station construction period main project investment cost collection method, and particularly relates to the technical field of photovoltaic station construction management, and the method comprises the following steps: 1, building a standard division rule of cost collection items, and determining a cost collection list; step 2, establishing an association relationship between the cost collection list and each type of business data; 3, executing automatic collection of the investment cost on the cost collection item to obtain an automatic collection list; 4, performing quality verification on the target collection items in the automatic collection list, and summarizing obtained quality verification results to obtain a quality verification list; 5, matching each item of quality verification with a preset construction acceptance policy form, and executing a construction acceptance policy; the system can achieve the comprehensive management, monitoring and automatic collection of the investment cost of the main project in the construction period of the photovoltaic station, facilitates the improvement of the project management level and management efficiency, guarantees the completion of the project according to the quality, and achieves an expected target.

The invention relates to the technical field of engineering project management, and discloses an engineering project progress and resource collaborative management system based on a cloud platform. According to the system, a progress main sequence is generated by collecting progress data, and resource information is recorded in real time to generate a resource circulation record set. The system extracts progress key nodes and corresponding resource consumption wave crest features and performs time alignment verification to generate preliminary cooperation deviation information; and the system inputs the information into a collaborative deduction model, and carries out parallel simulation on the subsequent progress and the resource demand to obtain a future collaborative deduction picture. The system analyzes on-site image data according to the image, obtains actual cooperative state parameters, and generates a management conclusion for adjusting subsequent plans and resource allocation by comparing the actual cooperative state parameters with deduced images. According to the invention, dynamic accurate diagnosis and look-ahead closed-loop regulation and control of the progress and resource coordination state are realized.

The invention discloses an electric power engineering project dynamic cost and risk prediction system based on digital twinning, and relates to the technical field of electric power engineering project management and digital twinning. The problem that in the prior art, it is difficult to dynamically and accurately predict the construction cost and the construction period and quantitatively evaluate the chain influence of risk events is solved. According to the method, the digital twinborn body with the autonomous evolution capability is constructed, the physical constraint and the time delay causal relationship are fused, and the structural causal model and the anti-factual reasoning are combined, so that the probabilistic dynamic prediction of the project cost and the construction period and the visual map generation of the risk situation are realized; and multi-scheme comparison and robust decision support are provided. The system also has a self-learning optimization capability, and can continuously improve the accuracy of prediction and decision, thereby remarkably improving the fine management and anti-risk level of the whole life cycle of the electric power engineering project.

The invention provides a collaborative development process data synchronization and notification method. According to the method, an automatic process is triggered by monitoring a test-submitted event message queue, development data is positioned based on module identification, key operation features (such as database change and task start and stop) are analyzed and extracted by using natural language, and feature extraction precision is improved by combining a dynamic keyword library and cross-modal fusion; the timeliness and reliability of risk reminding are ensured through template message generation and multi-channel delivery; a risk propagation range is further predicted by means of a dependency graph model, and a closed-loop early warning mechanism is formed. According to the method, the problem of delay caused by information lagging and insufficient collaboration in the development process is solved, the risk of manual operation is reduced, and the efficiency and controllability of project management are improved.

1. The name of the design product: computer with engineering digital base platform and graphical user interface. 2. The use of the design product: the design product is used for running programs and displaying interface contents. 3. The design points of the design product: the interface contents of the graphical user interface in the screen. 4. The picture or photo best indicating the design points: change state diagram 1. 5. The computer is a conventional design, and other views are omitted. 6. The use of the graphical user interface: used for information display and state interaction between various project management in the engineering digital base platform. 7. The human-computer interaction mode of the graphical user interface: the main view is the interface after clicking "project selection" in the engineering digital base platform; the change state diagram 1 is the display interface after clicking any project on the left side in the main view; the change state diagram 2 is the display interface after clicking the "three-dimensional opening" state in the change state diagram 1; wherein the single gray block in each view belongs to changeable content.

The embodiment of the invention provides a visual editing system based on a LabVIEW platform, and the system comprises a project management module which is used for carrying out the creation, deletion, selection and loading operation of a visual algorithm project, and an image collection and display module which is used for displaying an intermediate result and a final result of an image in a processing process. The visual operator module is used for providing various visual operators for a user to call in the form of a graphical component, a bottom visual processing function of the LabVIEW platform is integrated in the graphical component, and the algorithm step module is used for receiving a selection instruction of the user for the visual operators from the visual operator module. According to the method, a user selects a plurality of visual operators, an editable visual algorithm process formed by the plurality of visual operators is recorded according to the order of the selection instruction, the system separates the visual algorithm process constructed by the user from a program source code and stores the visual algorithm process as a structured configuration file, and field personnel can directly debug, store and call an algorithm without modifying codes. And the maintainability and the flexibility of the system are obviously improved.

The invention discloses a building engineering project management field monitoring device, and relates to the technical field of engineering monitoring, an auxiliary device further comprises a fixed block, a square pipe and a movable plate, the fixed block is fixedly installed at the output end of a telescopic motor, a series of linkage structures are driven through the telescopic motor, meanwhile, an elastic telescopic push plate provides upward assistance, and the movable plate is fixed to the fixed block. When a detection rod detects that dust is too large, a water spraying pipe and a telescopic motor can be started at the same time, manual operation of the two parts is not needed, manual intervention steps are reduced, the automation degree of the device is improved, movement of the pressing plate is driven through a mechanical structure, and the labor intensity of workers is reduced. And compared with manual water pressure adjustment, the water pressure is more stable, sufficient pressure can be continuously provided for the water spraying pipe, and the consistency of the dust falling effect is ensured.

A method for using artificial intelligence (AI) with agile project management (APM) includes accessing an APM user story, a plurality of an AI chatbot prompts, and a plurality of large language model (LLM) parameters. The APM user story includes a user description of a unit of work. The method further includes electronically transmitting, to an AI chatbot across a communications network, the APM user story, the plurality of AI chatbot prompts, and the LLM parameters. The method further includes electronically receiving, across the communications network, an APM AI response generated by the AI chatbot using the APM user story, the plurality of AI chatbot prompts, and the LLM parameters. The method further includes displaying the APM AI response generated by the AI chatbot on an electronic display.

The invention belongs to the technical field of engineering project management, and particularly discloses a scheduling management system based on pumped storage engineering project multi-source data fusion, which comprises a project data acquisition module, a business progress evaluation module, an intelligent scheduling decision module and a scheduling command management terminal. According to the invention, the hysteresis and one-sidedness of the traditional progress management depending on manual reporting are broken by sensing the mechanical position, the personnel position and the material consumption in real time, and the hidden risks such as the process connection window period and the resource waste are quantified by constructing a multi-dimensional index system, so that the conversion from result acceptance to process early warning is realized; meanwhile, grading decision rules are automatically matched based on deviation grades, experience decisions are converted into standardized responses, resource conflicts of cooperation of multiple types of work are reduced, and finally accurate scheduling actions are ensured through instruction visualization and execution feedback closed loop. The construction efficiency is obviously improved; and the resource waste is reduced.

The present disclosure provides a data processing method and device in project management, equipment and storage medium, relating to the field of computer. The method comprises: obtaining generation description information for a target field in a work item, the work item comprising a plurality of fields, the generation description information describing generation requirements of a field value of the target field; selecting a target system prompt word from a plurality of system prompt words based on the type of the target field; determining prompt word information for field value generation of the target field based on the generation description information and the target system prompt word, the prompt word information comprising description information for a structured computer language used to describe content of a rich text type; and determining the field value of the target field by using a machine learning model based on the prompt word information. There may be fields of the rich text type in project management. By using the embodiments of the present disclosure, the generation of the field value related to the rich text content can be efficiently processed, thereby improving the efficiency of project management.

The invention discloses a dynamic prediction and resource allocation method for the workload of an annotation task, and belongs to the technical field of resource scheduling, and the method comprises the steps: obtaining annotation task data, and generating a key feature vector through a feature extraction model; determining a core attribute and a difficulty level of a task through a full connection layer classifier, and dividing coarse and fine granularity workload dimensions including macroscopic and microscopic indexes according to the core attribute and the difficulty level; in the prediction stage, a double-model cooperation mechanism is adopted to dynamically correct and output final task total time consumption and time consumption distribution; the prediction result is analyzed, the Hungary algorithm and the priority arbitration mechanism are combined, personnel, tool instances and time windows are automatically and optimally matched and marked for task subitems, and therefore accurate and efficient automatic resource allocation is achieved; according to the method, the intelligent level of annotation project management and the resource utilization efficiency are improved.

The application provides an artificial intelligence-based software test case automatic generation system and method, relates to the technical field of software testing, and comprises the following modules: a project management data acquisition module that collects code metadata and project management data; a dynamic risk weight allocation module that inputs the two types of data into a risk prediction model, outputs a risk heat map, and allocates the dynamic risk weight of the input parameters; a basic test suite generation module that generates a basic test suite according to the input parameters and the dynamic risk weight; and a software test algorithm execution module that starts a software test algorithm and iteratively evolves to generate a test case set. The application solves the technical problem that the existing software test case generation mode is difficult to effectively integrate software related data to identify high-risk links, and the generated test cases are insufficient in covering key areas and low in accuracy, achieves the technical effect of accurately identifying high-risk links of software, and the generated test cases are more targeted, thereby improving software testing efficiency and software quality evaluation accuracy.

This utility model discloses a project management document storage device, including an assembly, an adjustment component, and a moisture-proof component. The adjustment component is located in the middle of the assembly, and the moisture-proof components are located on both sides of the assembly. Each moisture-proof component includes a fixed frame, a through hole, a drawer, and a moisture-proof layer. The fixed frame has a through hole in its middle, and the drawer is located inside the fixed frame. In this project management document storage device, elastic buckles are provided at both ends of a support plate, allowing for position adjustment within the cabinet. The support plate is made of iron. A baffle is then magnetically attached to the iron support plate via a bottom magnetic block, limiting the placement of project management document folders. The storage device includes a monitoring block and a display screen. An internal probe on the monitoring block positions the project management document folders for quick retrieval. Finally, a desiccant is placed inside the drawer to prevent moisture damage to the documents inside the cabinet.

The embodiment of the invention provides a design and development method and device of a functional safety product and electronic equipment, and relates to the technical field of functional safety product development. The method comprises the following steps: obtaining a product architecture and a safety requirement level planned in a functional safety product design stage; determining a system demand and a type test demand according to the product architecture and the safety requirement level; determining project management requirements according to project management requirements of the functional safety product; designing and developing a hardware part and a software part of the functional safety product based on the product architecture, the system requirements, the type test requirements and the project management requirements to obtain a prototype of the functional safety product; and testing and verifying the prototype of the functional safety product to determine that the prototype of the functional safety product meets the product architecture and the safety requirement level. According to the implementation mode provided by the invention, the product development efficiency can be improved on the basis of ensuring the reliability and the safety.