93 results about "Project group" patented technology

The invention relates to the technical field of software engineering management, in particular to a multi-project group Bug statistical management system based on a YAML configuration file and a low code, which comprises a YAML configuration file analysis core module, a low code personnel information acquisition core module, a Bug data visualization core module, an intelligent notification engine core module, a multi-project centralized management core module and the like. Multi-project configuration information is dynamically read through the YAML configuration file analysis module, and the low-code personnel information acquisition module is automatically associated with a Bug responsible person; the multi-dimensional visualization of the Bug data is realized by means of Apache ECharts; the intelligent notification engine performs hierarchical notification based on rules and dynamically adjusts priorities; and the multi-project centralized management module uniformly stores and updates cross-project data. According to the method, intelligent and centralized management of the multi-project Bug is realized, the data processing and display capability is improved, the resource allocation is optimized, the team cooperation efficiency is enhanced, the project risk is effectively reduced, and the overall quality and management level of software development are improved.

The invention relates to the field of data processing, and discloses a human resource information processing method based on an RPA robot, and the method comprises the following steps: collecting graph structure data at the beginning of each stage of a project, the graph structure data comprises nodes and edges connected with the nodes, one node represents one employee or one project, and the other node represents one employee or one project; one edge represents the relationship between the employee and the project; encoding the collected graph structure data into sequence data, wherein the sequence data comprises n sequence units; the process model comprises a first module, a second module and an output module, one sequence unit is input into the first module, the first module outputs a first hidden state of the sequence unit, and the second module inputs first hidden states of all the sequence units and outputs a second hidden state; and the output layer inputs the second hidden state and outputs the employees allocated to the project. According to the invention, a plurality of appropriate employees can be drawn for a project to form a project group for completing project work.

The invention discloses a project combination adjusting method, and particularly relates to a project combination adjusting method and device based on dynamic risks and electronic equipment. The method comprises the following steps: acquiring support degree information corresponding to an existing project combination at a moment t-1, and acquiring risk influence information at a moment t; updating the support degree information based on the risk influence information to obtain updated support degree information at the moment t; judging whether the existing project combination meets a preset constraint condition or not based on the updated support degree information at the moment t; under the condition that the existing project combination does not meet the preset constraint condition, the adjustment cost corresponding to each project adjustment scheme is calculated, and the project adjustment scheme comprises an adjustment strategy executed by each existing project; and adjusting the existing project combination based on the project adjustment scheme with the lowest adjustment cost to obtain an updated project combination at the moment t. According to the method, the project combination can be dynamically adjusted according to the risk impact, and efficient allocation of resources is realized.

The invention discloses an intelligent water conservancy-oriented drainage basin water engineering control application optimization regulation and control system and method. The regulation and control system comprises a watershed topology intelligent processor, a reservoir gate dam control plan fine simulator, a reservoir gate dam scheduling plan simulator, a flood discharge storage stagnation space water flow simulator, a scheduling plan multi-target evaluator and an engineering regulation and control intelligent optimizer, the method is used for intelligently constructing an optimal regulation and control project, an upstream control application project and a downstream control application project set of a drainage basin reservoir project group and a gate dam project group. According to the invention, by introducing the basin topology intelligent processor, intelligent construction of the basin water engineering partition set and the dominating relationship is realized, and a foundation is laid for parallel computing; a multi-level and high-precision water engineering and water flow process simulation system is constructed by combining a reservoir gate dam control plan fine simulator, a scheduling plan simulator and a flood discharge and storage stagnation space water flow simulator.

The invention belongs to the field of project group decision making, and particularly relates to a dynamic strategic target-oriented project group reconstruction method and system, and the method comprises the steps: obtaining a project adjustment decision scheme according to a constraint condition; inputting the strategic targets, the project attributes and the decision-making schemes into a large language model to obtain preference scores of the decision-making schemes, and then sorting the decision-making schemes to obtain a sorting result; setting a state; the strategy network generates a corresponding weight vector according to the sorting result and selects an execution action to obtain a selection strategy; according to the initial state and the execution action, state conversion is carried out to obtain a next state, and the extraction weight of each training sample is calculated; updating the strategy network according to the extraction weight and the training sample to obtain an optimized strategy network; and obtaining a project group adjustment result according to the sorting result and the optimization strategy network. The method has the effects that the project is objectively decided, and the project combination is accurately changed according to the changing dynamic strategy target.

The invention belongs to the field of multi-objective optimization, and particularly relates to a project combination optimization method and system considering execution capability deviation repair, and the method comprises the steps: obtaining a plurality of decision schemes according to the constraint conditions and strategic objectives of a project, taking the decision schemes as an initial population, carrying out the rapid non-dominated sorting, obtaining a plurality of non-dominated leading edges, and carrying out the rapid non-dominated sorting of the decision schemes; carrying out crowding degree, carrying out a tournament selection method on the temporary population, generating subgroups, obtaining a final subgroup after the last iteration, carrying out crossover and variation on the final subgroup to obtain a population to be corrected, and carrying out rolling constraint correction on the population to be corrected to obtain an optimal decision scheme group; and randomly selecting a decision scheme from the optimal decision scheme group as an optimization result. The method has the effect of remarkably improving the enterprise strategic planning project combination execution feasibility and income stability.

The invention discloses a water engineering group risk toughness regulation and control method considering uncertainty, and the method comprises the steps: building a double-track dynamic hierarchical structure based on the obtained working condition and hydrological data of a water engineering group, and generating a toughness performance boundary representing the lower limit of system performance and a current toughness performance state considering the uncertainty; the method comprises the following steps: judging the regulation potential of a toughness failure project by identifying a performance gap and tracking a cross-level failure chain, and dividing the toughness failure project into a regulable failure project set and a non-regulable failure project set; and aiming at the two types of failure project sets, carrying out self regulation and control optimization by adopting a multi-target reinforcement learning guided mixed gradient search algorithm and carrying out collaborative regulation and control optimization by adopting a collaborative-competitive co-evolution algorithm so as to output an optimal scheduling scheme set. According to the method, the system structure can be dynamically cognized, the risk conduction can be accurately traced, and the risk active defense capability and the system toughness of the water engineering group under uncertainty disturbance can be 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 provides a project group comprehensive evaluation method and device for a power grid transformation project, and a medium. The method comprises the steps of obtaining related text data, geographic information system data, project historical data and power grid topological structure data; performing feature extraction and analysis on the related text data to construct a semantic feature association network; performing connection analysis on the geographic information system data and the power grid topological structure data to construct a geographic topological feature association network; performing time sequence feature analysis on the project historical data to construct a time sequence feature association network; constructing a multi-dimensional coupling network based on the semantic feature association network, the geographic topological feature association network and the time sequence feature association network; identifying a core project group from the multi-dimensional coupling network; establishing a project group comprehensive evaluation model based on the core project group; performing comprehensive evaluation on the to-be-evaluated project group through the project group comprehensive evaluation model to obtain a target project group; and evaluating the comprehensive benefit of the target project group in the power grid transformation. Therefore, the project group evaluation comprehensiveness is improved.

The invention relates to the technical field of human resource management methods, and discloses a building enterprise project group human resource configuration system based on multi-objective optimization, which comprises a model construction module used for constructing a multi-objective optimization model including maximization of project group overall man-post matching degree, optimization of team personnel age structure and minimization of human resource cost; the information acquisition module is used for acquiring employee information and post information; the matching degree quantification module is used for quantifying the post matching degree based on the post competency model and the personnel portrait, and evaluating the age structure rationality of the team personnel by using the personnel marginal contribution rate curve; and the scheme generation module is used for solving the multi-objective optimization model by adopting an improved NSGA-II algorithm to obtain a human resource allocation scheme and outputting the human resource allocation scheme. The invention aims to provide a multi-objective optimization system which can consider the man-post matching degree, the team age structure and the human resource cost at the same time, so as to improve the scientificity and effectiveness of human resource configuration of a building enterprise.

A method, a device, and a non-transitory storage medium are described in which a machine learning-based project evaluation, prediction, and recommendation service is provided. The service may include obtaining performance data pertaining to key performance indicators (KPIs) and groups of a project and calculating affinity propagation using the performance data. The service may further include calculating prospective target KPI values for groups that may have deficient current KPI values based on similar performance data associated with other groups. The service may also include calculating time periods allotted to attain the prospective target KPI values.

This application provides a software development management method, apparatus, and software development system. The method includes: a compilation step, compiling a development baseline to obtain the development baseline of the main project team and the development baseline of the collaborating project team; a merging step, merging the development baseline of the main project team and the development baseline of the collaborating project team to obtain a merged development baseline; a tracking step, tracking the development progress of the merged development baseline after a predetermined development period based on the merged development baseline, obtaining a progress tracking result; an updating step, updating the merged development baseline based on the progress tracking result, obtaining an updated merged development baseline; and a repetition step, repeating the tracking step and the updating step at least once until the software development is completed. This method solves the problem of low efficiency in software development in the prior art.

The application provides a project cluster optimization method, device and system, comprising the following steps: A1, modeling a project cluster optimization problem based on the value, cost and constraint relationship of the project; A2, defining an objective function based on the value maximization of the project; A3, then solving the problem by using a biased random key genetic algorithm based on single project optimization in the project cluster, and solving the problem by using an NSGA, NSGA-II or NSGA-III algorithm based on multiple project optimization in the project cluster, and selecting the corresponding project or project combination that is most beneficial to the development of the project cluster according to the result of the solution. In the selection process of the project, the application can effectively avoid falling into a local optimal solution, the technical scheme of the application has stronger exploration ability for a solution space, can more uniformly and diversely search the solution space, has better convergence, and expands the problem model from single-objective optimization to multi-objective optimization, so that the feasibility of the optimization result is ensured while the solution space is reduced and the calculation efficiency is improved.

The invention discloses a highway design data version control method. The method comprises the following steps: constructing a local library, an intra-group library, a professional library and a project library; determining each design line and project group of the project; a designer designs the corresponding stake number paragraph data of the corresponding design line; the designer submits the project file to the intra-group library and updates the project version number of the project file; the project group leader pulls the project file in the intra-group library to the local library for auditing, submits the project file to the professional library and updates the project version number of the project file; and the total project manager pulls the project file of each specialty in the specialty library for auditing, submits the project file to the project library and updates the project version number. According to the method, the time and energy of a designer are not additionally occupied for version control; the accuracy of design data is improved; and design collaboration is promoted.

The invention relates to the technical field of software resource scheduling, in particular to a software resource scheduling method and device based on application characteristics, and the software resource scheduling method comprises the following steps: classifying various professional software based on application characteristic identifiers, and planning into a plurality of application resource pools; creating a project group, and setting a security isolation identifier according to the project group security and service requirements; in response to the software resource application of the project group, establishing a binding relationship between the project group and the software resource pool; and in response to a software use application of the scientific research user, determining the item group to which the scientific research user belongs, and determining the use right of the required software according to the binding relationship among the security isolation identifier, the item group and the software resource pool. Concepts of project teams and software resource pools are introduced, resource pool division is performed on software based on application features, the resource pools are subjected to isolated management and control through security isolation identifiers based on project team service requirements, software resources can be decoupled from research institutions at all levels, and unified and standardized definition, installation deployment and deployment management are achieved.

The invention belongs to the technical field of nuclear power, and particularly relates to a nuclear power plant overhaul project group construction simulation method and device, a computer readable storage medium and electronic equipment. The method comprises the following steps: determining an equipment set to be arranged in nuclear power plant overhaul project group construction; wherein the device set comprises more than one device; based on the space utilization rate, the gravity center shift and the bearing capacity constraint of the equipment set, a plurality of objective functions for layout of the equipment set are determined respectively; performing optimization solution on the layout position of the equipment set based on the plurality of objective functions to obtain a layout result of the equipment set; and performing simulation display on the layout result of the equipment set in a preset electronic sand table. Through the embodiment of the invention, the efficiency can be effectively improved, errors caused by personal negligence can be avoided, the accuracy is higher, and the actual nuclear power plant overhaul project group construction requirements can be better met.

The invention discloses a project group owner risk cost optimization method under an uncertain delay perspective. The method comprises the following steps: generating a plurality of groups of project group delay scenes by using a Monte Carlo method; putting forward a prediction model based on a GNN-GRNN algorithm, taking the predicted completion time of each project and the completion degree of each project as the input of the GNN algorithm to obtain an association relationship among the projects, inputting the three kinds of data into the GRNN algorithm on the basis of a generated delay scene, and predicting the project group material demand quantity at the next moment; constructing a project group owner risk cost optimization model under an uncertain delay perspective; and the optimization model is solved by using a DDPG algorithm to obtain the material supply amount at the next moment, the project hurry-up strategy and the risk cost after optimization, so that the decision-making difficulty of a manager is reduced.

The invention discloses a hydraulic engineering construction project full-scene cooperative command visualization system and method, and the system carries out the full-scene data collection at a front end from a hydraulic engineering construction site, carries out the analysis of multi-modal data, generates safety event information, and assists a rear end to make an emergency decision through the visual display of a safety event. The system can complete the functions of remote safety supervision of hydraulic engineering construction projects, safety analysis of on-site multi-modal data, visual emergency command and dispatch, multi-dimensional no-dead-corner hidden danger search, efficient hidden danger rectification and verification and the like, and improves the quality and efficiency of hydraulic engineering construction safety production management and the emergency processing capability. The problems of low project group supervision efficiency, high field inspection risk, lagging emergency response and the like in safety production management of traditional hydraulic engineering construction projects are solved.

The invention relates to the technical field of POS terminal equipment, in particular to a method for remotely configuring terminal parameters of a POS. According to the technical scheme, the method for remotely configuring the terminal parameters through the POS comprises the following steps that a server receives a parameter configuration request of a POS terminal; determining a project group to which the POS terminal belongs according to a device serial number (SN); obtaining a user-defined parameter file corresponding to the project group; issuing the user-defined parameter file to the POS terminal through a communication protocol; and the POS terminal receives the user-defined parameter file, analyzes the user-defined parameter file according to an analysis rule bound with the project group, and sets local parameters. The invention provides a method for remotely configuring terminal parameters by a POS (Point Of Sale), and aims to solve the problems of high maintenance complexity, error proneness to cross configuration of parameters and insufficient flexibility caused by centralized parameter management in the prior art.

The invention discloses a research and development efficiency evaluation method and system based on process work item statistics, and relates to the technical field of software research and development management and efficiency evaluation, and the method comprises the steps: refining demands, tasks and defect work items according to the design, development and test stages of a project research and development process, and collecting related basic data; according to the basic data of the work item, calculating a research and development efficiency index of each stage; and according to the research and development efficiency index, analyzing the research and development efficiency of the project group and the project group. The research and development efficiency evaluation method based on process work item statistics has the beneficial effects that by monitoring the research and development efficiency indexes, teams can better understand the efficiency and effectiveness in the research and development process, and necessary adjustment is carried out according to the efficiency and effectiveness, so that the software quality is improved. It should be noted that these indicators should be seen as part of the entirety. And the team restores the index data regularly and performs continuous improvement according to feedback.

A method, apparatus, medium, device, and product for processing project component data are disclosed. The method includes: obtaining first data corresponding to a first function, wherein the first data is obtained based on the dependency information of the first function, the dependency information indicating a first file package that the first function depends on, the first file package being pre-associated with multiple first files, and the first files storing the data dependent on the first function; injecting a second function into the runtime environment of the first data; and obtaining the output result of the first function based on the first data. This disclosed solution is applied to the construction of application components in a project management system, achieving decoupling of component business logic from the backend, reducing component development costs, and improving system operating efficiency.

The embodiment of the invention provides a project budget management system and method, computer equipment and a storage medium. The method comprises the following steps: for a target project group, a project group budget top node performs budget allocation on each project group budget sub-node of a next level according to total budget information and project control information of each project group budget sub-node of the next level, and first budget information corresponding to each project group budget sub-node is obtained and issued; and each project group budget sub-node performs budget allocation on each project control element and / or other sub-nodes according to the corresponding first budget information and the control information of each hung project control element and / or other sub-nodes to obtain and issue second budget information corresponding to each project control element and / or other sub-nodes. The method is used for improving the budget allocation efficiency when the budget is allocated to the project group.

This application discloses a resource allocation method, apparatus, equipment, and storage medium for distribution network engineering projects. The method includes: acquiring process parameters for all processes in the distribution network engineering project; determining a first critical path for each sub-project based on the duration of each process under each sub-project; determining a second critical path for each sub-project based on the resource requirements and supply of each process under each sub-project; grouping multiple sub-projects into multiple sub-project groups based on the second critical path of each sub-project; determining a third critical path for each sub-project group based on the second critical path of each sub-project group; determining the target critical path for the distribution network engineering project based on the third critical path of each sub-project group; and determining resource allocation data for each process under each sub-project based on the target critical path. This application helps improve the accuracy of resource allocation for distribution network engineering projects.

The invention provides a project system capability evaluation method and device based on heterogeneous preferences, and the method comprises the steps: obtaining a numerical evaluation matrix and a comparison evaluation matrix of a plurality of experts for a plurality of to-be-evaluated projects, converting the comparison evaluation matrix according to an information conversion operator, adding the converted comparison evaluation matrix to a numerical evaluation matrix given by the same expert, and obtaining the capability of a project system. The heterogeneous preference information of the experts in different fields is effectively aggregated, and the problem that the assessment information is difficult to unify due to different specialist fields of the experts is solved. According to the method, expert weights are determined based on a double-entropy target, a complete evaluation matrix of multiple experts is aggregated, and strategic target weights are determined based on the double-entropy target; according to the strategic target weight and the comprehensive evaluation matrix, the expected performance conditions of the multiple to-be-evaluated projects on the strategic target are determined, so that scientific evaluation of the project execution capability is realized, and a solid data support is provided for execution capability deviation evaluation and optimization adjustment of subsequent project combinations.

An investment execution monitoring method and system adapted to multi-modal power grid project group characteristics are provided, and the method and the system aim at three aspects of specific operation and quality control in a project execution process, quantification of the performance of a unit in the execution process, and setting of a special monitoring index for a specific field or problem. A lean process management and control index, a unit execution monitoring index and a special item monitoring index are respectively constructed, the three indexes jointly form a project group index system, an intelligent monitoring model is constructed through a machine learning algorithm, and the intelligent monitoring model is used for carrying out intelligent monitoring on input power grid project group process basic data and the project group index system. Scientific decisions are made based on data analysis results through big data and artificial intelligence technologies. According to the design, scientific decision can be made through the data analysis result, the management efficiency is effectively improved, refined index monitoring and whole-process management of project group investment execution can be realized, and the project risk is effectively reduced.

The invention relates to the field of nuclear power, in particular to a risk assessment method, device and equipment for nuclear power plant construction and a program product. The method comprises the steps of obtaining construction plan data of an overhaul project group of a nuclear power plant; determining a time cross risk according to the construction window, the operation function position, the operation content and the operation condition of each project; according to the construction window, the operation area and the operation function position, determining a space crossing risk; determining a resource cross risk according to the construction window and the resource demand; determining a design interface risk according to the design interface information of each project; and determining a risk list of the construction plan data according to the time cross risk, the space cross risk, the resource cross risk and the design interface risk. Multi-dimensional and systematic analysis is carried out through global space, time, resources and design interface information, effective identification of various risks of a project group is realized, the cross coupling risk is reduced, and the construction safety quality is effectively improved.

The invention provides a transaction item recommendation method and device, equipment and a storage medium. Relates to the technical field of data processing. The method comprises the following steps: acquiring historical transaction information of each user, determining a user label of each user according to the historical transaction information of each user, determining at least one user group according to each historical transaction information, and respectively determining item groups corresponding to each user group according to the historical transaction information of each user in each user group, and establishing a project recommendation model according to each piece of historical transaction information, each user tag and each project group, and in response to a received project transaction application, inputting the project transaction application into the project recommendation model to obtain a project recommendation list output by the project recommendation model. According to the method provided by the invention, the problems of low matching degree between a transaction item recommendation result and a user demand and relatively low recommendation success rate in the prior art are solved.

The invention relates to the technical field of data analysis and application, in particular to a project team post-suitable employee recommendation method and device, and the method comprises the steps: receiving team demand information of project building and employee information of to-be-evaluated employees, and the team demand information at least comprises target post information; according to the employee information of the to-be-assessed employee, performing matching from a post label model associated with a target post to obtain ability label information of the to-be-assessed employee; according to the ability label information of the to-be-assessed employee, calculating to obtain an appropriate post matching degree corresponding to the to-be-assessed employee; and according to the target post information and the post-suitable matching degree corresponding to the to-be-evaluated employee, determining post-suitable employee recommendation information. According to the method, the employees suitable for the job can be automatically recommended, and the problems of difficult employee recommendation and low efficiency during existing project team establishment are solved.

The present invention discloses a system and method for optimizing the operation and control of basin water projects for intelligent water conservancy. The control system includes a basin topology intelligent processor, a fine simulator for reservoir and dam control plans, a simulator for reservoir and dam operation plans, a simulator for flood flow in flood storage and detention areas, a multi-objective evaluator for operation plans, and an intelligent optimizer for project operation and control. The basin topology intelligent processor is used to intelligently construct the sets of optimized operation and control projects, upstream operation and control projects, and downstream operation and control projects for the basin reservoir project group and the dam project group. By introducing the basin topology intelligent processor, the present invention realizes the intelligent construction of the partition sets and domination relationships of basin water projects, laying a foundation for parallel computing; and combines the fine simulator for reservoir and dam control plans, the simulator for operation plans, and the simulator for flood flow in flood storage and detention areas to construct a multi-level and high-precision simulation system for water projects and water flow processes.

The invention discloses a station reservation and station management system and method, the system comprises an upper computer, a station generation module, a station reservation module, a station distribution module and a station optimization module, and the method comprises the following steps: uploading an office space layout map to generate a station map; the project manager selects group members, classifies the importance degrees of the group members, selects station attributes, and initiates station reservation; the system generates a station distribution scheme according to requirements; and the system sorts station reservation conditions according to the number of project group members, and outputs station layout improvement suggestions. According to the invention, by optimizing the station reservation method, the station reservation of the project group is more reasonable, the station distances between the project group members and the project manager and between the project group members are closer, the distances and communication demands between the project group members are comprehensively considered, the station arrangement is optimized, and the working efficiency and the team cooperation efficiency are improved.