62 results about "Project manager" patented technology

The invention discloses a project cost risk monitoring method and a project cost management platform, and the method comprises the steps: S1, carrying out the real-time collection and standardization processing of multi-source data: collecting dynamic data in real time through an Internet of Things device at a construction site, carrying out the butt joint of a design drawing, a financial system and the like, obtaining static data, and employing a data cleaning, conversion and integration technology; s2, carrying out risk factor identification and correlation analysis based on a knowledge graph; s3, implementing risk quantitative prediction and early warning driven by artificial intelligence; s4, real-time monitoring and automatic verification of contract performance of blockchain enabling are realized; s5, providing dynamic cost adjustment and optimization decision support; through real-time collection and standardization processing of multi-source data, data islands of all parties participating in a project are broken, and accuracy, integrity and timeliness of key data such as construction progress and cost expenditure are ensured. Based on big data analysis and artificial intelligence prediction, more accurate risk assessment and cost prediction are provided for project managers.

The invention discloses an electric power engineering project management talent intelligent evaluation and dynamic training system, and the system comprises a multi-dimensional quality capability model construction module which constructs a four-dimensional capability framework based on the characteristics of an electric power engineering industry, generates a differentiated post capability model through a dynamic weight distribution algorithm, and carries out the dynamic training of the differentiated post capability model; constructing an industry ability dictionary library by utilizing a knowledge graph technology; the intelligent evaluation and matching module integrates a multi-modal evaluation tool to collect dominant and implicit capability data, dynamically adjusts capability index weights through a pre-trained AI model based on project characteristic parameters, and calculates man-post adaptation indexes by adopting a cosine similarity algorithm; and the dynamic training and development module is used for generating a personalized training scheme by quantifying the capability difference, tracking the training effect in a closed-loop manner based on a Korotkoff four-level evaluation model, and dynamically optimizing a training path by adopting a Bayesian network. The technical defects of single evaluation dimension, low man-post matching degree and insufficient cultivation efficiency of traditional power engineering human resource management can be solved.

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

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 provides an intelligent research and development system, device and equipment based on Ai and a storage medium, relates to the field of research and development systems, and aims to convert project management from experience driving to data and AI driving so as to greatly improve the accuracy of task allocation, risk identification and progress prediction. The system can automatically monitor, analyze and actively intervene the research and development process, manual intervention is reduced, and the management efficiency is improved; the burden of compiling the report by a project manager is greatly reduced, and the timeliness, the accuracy and the objectivity of the report are ensured; a complete research and development traceability chain enables the project process to be extremely transparent, and audit, problem positioning and knowledge inheritance are facilitated; scattered research and development knowledge is structurally precipitated in a knowledge graph to become digital assets which can be inquired and reused by subsequent projects.

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 relates to the technical field of information technology data processing, and provides an intelligent examination and approval decision-making system and method based on block chain technology change design, which constructs a change process model by obtaining project information and user change demands, and realizes intelligent processing and examination and approval of user change design based on the change process model. The business process data is stored and verified through the block chain technology, and the tampering resistance and traceability of the data are improved; meanwhile, the examination and approval result is verified by using the service examination and approval simulation model, so that the accuracy of examination and approval decision is improved. According to the method, the problems of fragmentation of an approval link, low flow efficiency and the like in an information processing process in the prior art are solved, the safety and transparency of engineering change design management are improved, multi-party cooperative work is promoted, and scientific and efficient decision support is provided for project managers.

The invention provides a construction informatization management method and system, relates to the technical field of informatization management, and is characterized in that an independent work point is used as a unified space and management unit, and static management information in a building information model and project planning data is converted into static management information; and integrating and associating with real-time dynamic data from heterogeneous systems of personnel, equipment, environment, video monitoring and the like, and automatically judging and visually displaying the comprehensive execution state of each independent work site based on a preset rule. The core step of the method is that a construction site is finely divided into independent work points with independent working procedures and management responsibility, and dynamic and static data deep fusion and state evaluation are carried out by taking the independent work points as basic units, so that the problems of information islands and fuzzy responsibility in traditional construction management are effectively solved. And a real-time, transparent and traceable global command view is provided for project managers, so that the refined and intelligent management level of the construction process is remarkably improved.

The invention provides an intelligent bond project establishment application report compiling method and system based on multi-agent cooperative work, and the method and system employ an architecture based on multi-agent cooperative work, can simulate the working process of an actual operator, and cooperatively complete the task decomposition, data arrangement, content generation and structure verification of financial document compiling work. The automation level is improved. A model agent for simulating the division roles of six financial project groups is designed, and the model agent comprises a project manager, data investigation, material examination, content writing, quality control auditing and content correction. Each role plays different functions and tasks in the research and report writing process, uses different tools, and is mutually matched from multiple dimensions, so that the quality and efficiency of the bond project establishment application report are improved.

The invention discloses a multi-source information fusion-based comprehensive quality portraying method for small, medium and micro-sized enterprises. The method comprises the steps of S1, constructing a portraying dimension and label classification method; s2, data preprocessing and application; s3, static label extraction and dynamic label establishment; s4, quickly fusing the labels, and matching and classifying; and S5, constructing a scoring and feedback mechanism. According to the method, open information of enterprises and products is collected in modes of comment, application, error correction and the like, the information is verified, the information accuracy is continuously improved, and generated dynamic tags and static tags are fused, so that the generated comprehensive tags are highly associated with enterprise users; by constructing a scoring mechanism, enterprise users can obtain scoring information from the service platform, the service quality, the enterprise comprehensive quality and the product quality are improved, a one-to-one communication platform between an enterprise project principal and a customer is established through a payment channel, and the accuracy of platform interaction and the enterprise comprehensive quality service level are improved.

The invention discloses a project task dependency relationship intelligent modeling system and method based on a knowledge graph, and belongs to the technical field of project task modeling, and the method specifically comprises the steps: obtaining project task image data, carrying out the preprocessing of the obtained project task image data, and according to the preprocessed project task image data, carrying out the intelligent modeling of the project task dependency relationship; the method comprises the steps of constructing a preliminary project task knowledge graph, analyzing direct and indirect dependency relationships between project tasks, updating the preliminary project task knowledge graph to obtain the project task knowledge graph, and optimizing project task scheduling based on the project task knowledge graph and in combination with attribute information of the project tasks. The priority and resource allocation of project task execution are determined, and project task nodes and dependency relationships in the knowledge graph are automatically updated based on real-time data and project progress; the priority and resource allocation between project tasks can be processed in real time, so that a project manager can obtain the latest dependency relationship and progress condition of the tasks in real time.

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

The invention discloses a man-hour filling and reporting method, system and device and a medium, and the method comprises the steps: building a user man-hour filling and reporting list with a user as a role, and pushing the user man-hour filling and reporting list to a corresponding user; receiving a user man-hour list formed by a user based on the user man-hour filling list; summarizing the user working hour lists to form a summarized approval list; and pushing the summarized approval sheet to the corresponding approver, so that the approver performs man-hour approval. According to the method, the user is taken as a main body to push the man-hour filling sheet, the filling efficiency of the man-hour filling sheet can be improved, the pushing of a manpower department and a project manager is not needed, and manpower resources and time resources required by man-hour filling are reduced. And meanwhile, after the user working hour list is received, the user working hour list is summarized and pushed to the supervisor for examination and approval, so that the supervisor can obtain the working hour information of each employee in time, and the use efficiency of enterprise resources and the human resource occupation condition of each project can be known in time.

The invention provides a project resource analysis method and device, equipment, a medium and a program product. The method comprises the steps that a trigger instruction of resource analysis is received, an analysis interface is displayed, and the analysis interface comprises a problem input area and an analysis display area; in response to a reference instruction received in the question input area, a reference interface is displayed, and the reference interface comprises at least one reference content; in response to a reference operation on a target reference content in the at least one reference content, adding the target reference content to a resource analysis problem of the problem input area; and in response to sending of the resource analysis problem, displaying a resource analysis result corresponding to the resource analysis problem in the analysis display area. According to the invention, the resources can be analyzed through the large model in project management, the current situation and problems of the project resources can be accurately known, and valuable insight is provided for project managers.

The present invention discloses a method for assessing the risk of construction project shutdowns based on rainfall indicators. By establishing a forecast model with actual precipitation and a 24-hour precipitation forecast as input conditions and the shutdown risk level as the output result, and matching corresponding response measures, a risk forecast text can be formed. When the actual precipitation and forecast precipitation data exceed the pre-set threshold indicators, the start-up conditions are met, and then the forecast model provides alarm information based on the actual situation and early warning information based on the forecast, so that project managers can make scientific decisions, improve the risk resistance of construction projects, and reduce losses caused by meteorological influences. The present invention solves the problem that project managers at existing construction sites rely on experience to deal with various types of weather, cannot make scientific decisions, and easily cause losses to the project.

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

The invention relates to an amphibious multi-business and multi-mode complete-period construction project cost management and control system. The system comprises a project income management module, a project budget management module, a project planning management module, a project cost management module, an economic activity analysis module and an assessment and evaluation module. According to the invention, big data, artificial intelligence, mobile internet and other informatization technologies are applied to perform full-business process management and control on project income, budget, planning, cost and economic activity analysis, and by means of dynamic assessment and evaluation, the cost management and control requirements of construction projects of different types, different stages and different conditions are met, so that the cost management and control requirements of construction projects on water or land are met. The cost management and control requirements of the project can be met whether a standard project or an EPC project, the universality of the system is improved, meanwhile, a data flow mechanism with data communicated layer by layer is constructed through strict system logic, the reuse rate of process achievements is improved, the burden of data filling and reporting can be reduced for first-line project management personnel, and the working quality and efficiency are improved.

This application relates to a progress monitoring method and BIM information management system based on digital twins, which provides a method for automating the progress monitoring process and can provide more accurate and objective construction activity progress information. By using three-dimensional information elevation views and semantic segmentation technology based on deep learning, the completion percentage of construction activities can be detected and reported. This application can help construction managers track the progress of main structures such as beams, columns, and floor slabs, and detect potential delays or problems as early as possible during the construction process. Through BIM color coding and point cloud segmentation technology, the progress of each activity can be visualized, helping project managers make more informed decisions and optimize resource allocation.

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

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

The present invention belongs to the technical field of text data processing, and specifically discloses a contract element extraction and review method and device based on LLM, including: parsing a target contract to obtain text block data, vectorizing the text block data to obtain a first multidimensional vector, and constructing a text vector database; extracting feature information from the text to be processed and using it as a contract indicator, generating a label for the contract indicator according to the category to which the feature information belongs, and vectorizing the feature information and the corresponding label to obtain a second multidimensional vector; searching the text vector database for a first multidimensional vector similar to the second multidimensional vector, sorting all the second multidimensional vectors to generate a vector sequence; generating a contract to be reviewed according to the vector sequence and the text block data, and marking the contract to be reviewed according to the difference between the first multidimensional vector and the second multidimensional vector; the method has the following advantages: the indicators can be automatically extracted and a verification result including an explanation is given, which can significantly improve the work efficiency of project managers.

The embodiment of the invention discloses a project management digital management method, a project management digital management system, project management equipment and a practical training platform integrated with an Internet of Things operating system, and relates to the technical field of office automation or electric digital data processing. Basic configuration information in the project management information is screened out, an Internet of Things model in the basic configuration information is obtained, dynamic operation data of Internet of Things equipment is generated, real-time monitoring data in response to a project site is generated, a multi-source heterogeneous data set and a project monitoring data set are generated, and digital management is performed on the project according to the project monitoring data set. According to the embodiment of the invention, through screening of the basic configuration information and dynamic management of the Internet of Things equipment, resources can be reasonably allocated according to actual demands of the project, and based on semantic matching of the multi-source heterogeneous data set and the project document keyword, the generated project monitoring data set provides comprehensive and accurate data support for a project manager.

The present invention proposes an intelligent statistical analysis method and system for the implementation progress of a production project. The method includes: initially classifying all task lists in the production project, and constructing a directed acyclic task graph based on the initially classified task lists to represent the dependencies between tasks; collecting data on the execution status of each task according to the initial monitoring granularity of each task, and determining whether the actual progress of each task deviates from the planned progress based on the collected data; collecting behavioral data for each project role, and then calculating the behavioral deviation of each role based on regularization. Based on the behavioral deviation of each role, the collaborative efficiency between the roles is calculated, and then task allocation and progress management are dynamically adjusted; task priorities and resource allocation are re-optimized based on the results of the dynamic adjustment; feedback on the execution of the optimized tasks is provided to the project manager, and intelligent decision support is provided. The present invention has higher intelligence and real-time response capabilities.

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

The invention relates to the technical field of data processing, and particularly discloses a project management data processing method and system for engineering construction, and the method comprises the steps: enabling a BIM model to be associated with a current task, forming a visual recognition progress tracking chain, employing an AI-driven image analysis technology, automatically recognizing the type of a component and the construction state from an unmanned plane image, and achieving the automatic recognition of the construction state. And a real-time identified work log is generated, so that the subjectivity and hysteresis of manual progress tracking are overcome. Meanwhile, for the completion acceptance link, high-precision geometric comparison is innovatively carried out on the completion original scanning data and the BIM model, a verified component list containing the component verification state and the completion degree is automatically generated, and the low efficiency and the inaccuracy of traditional manual acceptance are changed. Finally, the system intelligently fuses the structured data from different dimensions and different stages, a comprehensive progress report is automatically generated, and an objective, timely and quantifiable decision basis is provided for project managers.

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

The embodiment of the invention relates to the technical field of version risk management and control, in particular to a software version risk index calculation and risk management and control method, electronic equipment and a storage medium. According to case data, defect data, historical code data and demand change data, an integrated risk index of a demand is calculated, an aggregated risk index of a version is calculated according to the integrated risk index of all demands, a risk level of the version is determined according to the aggregated risk index, and finally a risk early warning identifier corresponding to the risk level of the version is presented. Therefore, the risk index of the software version can be automatically and efficiently calculated, and the risk of the software version can be visually monitored, so that a project manager or a manager can control the risk of the software version in time, the development progress is ensured not to be influenced as much as possible, and the software development quality is improved.

The invention discloses an intelligent project inspection method and system based on multi-modal data fusion. The method comprises the steps of obtaining multi-modal data of an engineering project; performing space-time alignment and feature extraction on the multi-modal data to obtain a space-time feature sequence with a unified space-time stamp; inputting the spatio-temporal feature sequence into a spatio-temporal context sensing model, and identifying a preliminary abnormal fragment deviating from the normal mode; performing abnormal influence propagation deduction in an engineering element association relationship constructed by the spatio-temporal context sensing model based on the preliminary abnormal fragment, and determining an abnormal project; and according to the final abnormal item, generating an intelligent inspection report containing a processing priority and a processing strategy suggestion. According to the invention, project risks jointly induced by a plurality of associated factors can be effectively identified, and project managers can timely deal with related project risks.

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

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