35 results about "Project implementation" patented technology

The invention discloses a science and technology project management method and system based on business fusion, and belongs to the technical field of project management, and the method comprises the following steps: S1, collecting business data and technical data of each department, and storing the collected data in a unified database according to a preset data standard; s2, performing format conversion, standardization processing and data version management on the business data and the technical data to generate a comprehensive management data set; and S3, based on the comprehensive management data set, risk factors and performance indicators in the project implementation process are automatically calculated by using a risk assessment algorithm and a performance assessment algorithm, the risk assessment algorithm adopts a machine learning model, the performance assessment algorithm adopts a weighted statistical analysis method, and risk early warning information and a performance feedback report are generated. Through standardized data management and a unified database, information islands are eliminated, efficient integration of business data and technical data is realized, and cross-department collaboration efficiency is improved.

The invention relates to the technical field of engineering project management, in particular to an engineering project whole-process consultation management method and system. Comprising the following steps of S1, collecting contract data related to an engineering project, performing type splitting on the contract data, and performing progress stage distribution on the split contract data in combination with a total construction plan of the engineering project; s2, the uploaded completed construction data and the uncompleted construction plan are collected, related progress stage analysis is carried out on the completed construction data, and correction analysis is carried out on the completed construction data and the uncompleted construction plan in combination with the total construction plan; by integrating contract data and construction plans and utilizing technologies such as time sequence analysis to construct a construction prediction analysis model, the project progress can be accurately monitored and predicted, and in the project implementation process, completed construction data and a total construction plan are compared in real time, and progress deviation is found in time.

Deployment models of deep learning models are various in development framework and deployment framework, and support conditions of various different reasoning frameworks for computing power are greatly different. According to manufacturers, models and systems of development boards, dependency compatibility problems occur during deployment, so that model deployment and project landing have great problems all the time. The invention aims to provide the automatic deployment method for the deep learning model based on the minitrain software, the trained deep learning model can be automatically deployed to a development board end in a graphical mode, and the work of dependency compatibility adaptation, reasoning file writing, operator adaptation and the like is omitted.

The present invention provides a method and system for automatically generating a bond project implementation plan, comprising: obtaining key information of the bond project input by a user terminal; performing data matching on the key information of the bond project using a pre-built bond business model based on the key information of the bond project, and outputting an initial project plan corresponding to the key information of the bond project; extracting business data information from the initial project plan, and performing data identification based on the business data information using a matching algorithm to obtain a data table and business description corresponding to the business data information; generating a project implementation plan corresponding to the key information of the bond project based on the data table and the business description; the present application significantly improves the accuracy of information extraction and the accuracy of plan matching through automated acquisition of key information of the bond project, intelligent matching and data identification, and can quickly generate standardized project implementation plans, thereby reducing manual intervention, reducing errors and improving efficiency.

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

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 embodiment of the application provides a project data backup method, system and medium, the method comprises the following steps: executing project implementation according to a project plan, and obtaining a project implementation progress; matching storage areas of different implementation progress according to the project implementation progress, and forming a plurality of backup blocks, wherein the project implementation progress is one-to-one corresponding to the backup block; backing up the project data of different implementation progress into the corresponding backup block to form the first full backup data; comparing the project data corresponding to the project implementation progress with the first full backup data to obtain the difference data; setting a backup time period, calling a backup strategy, starting the backup block to fill and backup the difference data according to the backup strategy; and backing up the project data corresponding to different project implementation progress in different backup blocks to realize the separate backup of data, perform the first full backup, and then only need to compare the project data with the first backup data, add the difference data, and improve the backup efficiency.

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.

The present invention relates to the field of computer technology, specifically a project collaborative innovation system, method, and storage medium based on mechanism matching, wherein the system includes: a demand release module, a collaborative selection module, an implementation supervision module, an achievement conversion module, an innovation exchange module, a system management module, and a storage module; the demand release module is used to compile the content of the project and set the mechanism of the project; conduct multi-level review of the project; according to the set mechanism, match the matching conditions proposed by each participant on each mechanism to obtain a matching rate; push the bidding information of the project to the participants who meet the preset matching rate and publish it; the implementation supervision module is used to enter the current project progress of the implemented project and determine whether the project is completed based on the current project progress. If so, the achievement conversion module is triggered; if not, the project implementation continues. This solution can improve the cooperation achievement rate of both parties, ensure the orderly progress of the project, and ensure the distribution of project achievements according to the agreement.

The invention relates to the technical field of project management, financial science and technology and smart medical treatment, and discloses a project management method and device based on dynamic regulation and control, a storage medium and equipment, and the method comprises the steps: obtaining project approval information of a target project; performing strategic importance scoring and operational feasibility scoring on the target project according to the project approval information, and constructing a strategic score matrix of the target project according to the strategic importance score and the operational feasibility score; if the strategic score matrix of the target project meets the project implementation condition, implementing the target project, and obtaining project implementation information of the target project in the implementation process of the target project; and dynamically scoring the target project according to the project implementation information, and dynamically intervening the implementation of the target project according to the dynamic score. Project management is upgraded to a dynamic data driving mode from a static experience driving mode, and the project adaptability and decision accuracy in a complex environment are improved.

A project management system disclosed by the present invention comprises a project input module, a fund monitoring module, a project implementation monitoring module and a project after-sales module, the project input module inputs an initiated project based on a block chain and determines project details, and the fund monitoring module carries out fund supervision on the established project. The project implementation monitoring module is used for project decomposition, distribution and implementation, the project after-sales module is used for monitoring the project completion progress, and the project input module comprises a member registration sub-module for registration and use based on a block chain. The sealing and testing sub-module is used for testing the performance, and the member registration sub-module is used for sealing a block chain interface; the information scanning sub-module is used for automatically inputting the uploaded contract or protocol; and the login module is used for accessing the packaged block chain interface. According to the invention, through integration of social resources and a block chain technology, a safe, efficient and extensible project management solution is provided for enterprises.

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 present invention provides a five-in-one integrated project management and control system, which solves the technical problems of resource waste, labor and time consumption in current EPC engineering general contracting projects. The present invention is mainly aimed at engineering general contracting projects with design as the main body. The design management system of the present invention is the "leader", and the design management system is the final carrier of project implementation; the contract scope and construction rules stipulated by the contract management system are the basis of income and risk; the procurement management system is used as the support of project costs, which plays a key role in connecting the upper and lower levels; the construction management system is used to manage the construction implementation of the project; the business management system is used as the basis for judging risks and costs, which is the core of controlling the budget and creating benefits (risk control, budget, and creating higher benefits).

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 invention relates to the field of engineering project management, in particular to a risk management and control method for an engineering investment project, which is used for carrying out risk assessment, feasibility assessment and fund assessment in a project implementation process and obtaining effect verification in the project. The method comprises the steps of obtaining an engineering quantity list of an engineering project, and establishing a virtual contract for the engineering project; inputting the engineering quantity list into basic contract information of the virtual contract; carrying out credibility scoring on the virtual contract according to the scoring model, and when the credibility score passes a threshold value, carrying out first evaluation dimension judgment and second evaluation dimension judgment on the virtual contract; and performing accuracy judgment on the virtual contract according to the two-factor decision model, and performing hierarchical management and control on the virtual contract according to the accuracy. The method for managing the project amount outside the contract is provided, structured processing and hierarchical management and control of the project amount outside the contract are achieved, and the problems of hidden cost loss and low management efficiency caused by lack of additional project amount management are effectively reduced.

The present invention discloses a standardized collaborative system and method based on the entire project life cycle, which relates to the technical field of project management. The present invention obtains the text data of real-time work orders by using text recognition technology; extracts historical projects from the project management platform to form a historical project set; extracts and marks the project feature data of each historical project; calculates the correlation degree value between the project feature data of the historical projects in the project feature set and the feature data of the first project; analyzes the association relationship between the historical project and the first project; constructs a project implementation fitting model according to the text data of the historical work orders; analyzes the task implementation situation corresponding to the work orders being implemented by the first project according to the project implementation fitting model, extracts abnormal work orders to generate a list of abnormal work orders, and sends them to the administrator. The accuracy of model fitting is improved, and the operation efficiency of the system is improved; the automated management of the entire project life cycle is realized, and the engineering implementation efficiency is improved.

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.

The invention relates to the technical field of engineering project management, in particular to an engineering project multi-source management platform, which comprises a data acquisition module, a data analysis module, a data processing module and a data processing module, the project permission type determining module is used for calculating a project permission type tendency value based on the first complexity and the second complexity, and determining a project permission type based on a comparison result of the project permission type tendency value and a preset project permission type tendency value; the permission extension module is used for differentially extending project permissions when determining that the project has conflict data based on the project permission type and / or the sensitivity degree of the project conflict data; the authority recycling module is used for determining whether to recycle the extension authority or not based on whether the project stage is changed or not and / or whether the authority extension user meets the negative access condition or not, and multi-source engineering project management is achieved by improving the accuracy of authority dynamic management when conflict data occurs.

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 belongs to the field of project risk prediction, and particularly relates to a project risk prediction avoidance method and system fused with deep learning, and the method comprises the steps: obtaining a project report and overall personnel configuration data, extracting project decomposition configuration data through employing a relation extraction decomposition model, building a project implementation node chain according to a graph theory, and carrying out the construction of a project implementation node chain according to a graph theory. The method comprises the following steps: implementing planning data from a single sub-project in a node chain through a correlation algorithm to obtain a relevance and non-relevance single sub-project set, constructing a configuration risk model based on a Bayesian algorithm optimized by a particle swarm algorithm, inputting the sub-project set to obtain a single and relevance configuration risk probability, and finally, constructing a configuration risk model. And according to the two risk probabilities, constructing a personnel configuration adjustment factor, configuring the personnel configuration adjustment factor to a node chain connection relationship, and dynamically adjusting the initial configuration of each single sub-project personnel until all nodes meet a preset risk probability threshold, thereby effectively coping with risks caused by personnel configuration in project implementation.

The present application provides a method, apparatus, electronic device, and storage medium for project deployment. Among them, in the method for project deployment, first, project information and project code of the project to be deployed are obtained. Then, based on the project information, project registration of the project to be deployed is performed under a preset main project directory. A pre-trained software security detection model is called to process the code of the project to be deployed to obtain a project security score; wherein, the software security detection model is pre-trained according to preset sample data. Finally, project deployment is performed on the projects to be deployed whose project security scores are greater than a preset value. The method of the present application adopts a mode of merging multiple front-end projects and deploying them under the main project directory, which is convenient for unified management, and each project does not need to apply for a Web server separately, saving a large amount of resources. At the same time, the project code can be automatically audited, reducing the risks of project implementation and operation.

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.

The invention provides an engineering cost accounting and price rationality commenting system and method based on AI. The engineering cost accounting and price rationality commenting system comprises: a project confirmation module determines a project project to be subjected to cost accounting and locks a target project; the data acquisition module acquires target project implementation data information in the enterprise database according to the target project; the cost accounting module adopts AI assistance to carry out cost budgeting on the target project and carries out big data analysis according to the implementation information of the target project to calculate the actual project cost; and the analysis and comment module carries out price reasonability comment on the engineering cost budget data and the engineering cost actual data in combination with a comment model to obtain a price reasonability comment result. According to the invention, the method achieves the automatic and efficient accounting of the engineering cost based on AI, does not need manual participation, effectively reduces the accounting error, can achieve the price rationality comment based on the accounting result, reasonably controls the project cost, and guarantees the core competitiveness of an enterprise.

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.