58 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 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.

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 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.

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 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 provides a project approval scheduling method and device, equipment and a storage medium, relates to the technical field of intelligent management, and can improve the project approval efficiency and rationality. According to the specific technical scheme, the method comprises the steps of firstly receiving a target conference number and project basic information including customer features, project features and approval levels; primary grouping is completed through a preset merging rule based on customer / project characteristics, and associated projects are screened and grouped; according to the relation between the primary grouping total amount and the target conference number, secondary merging is executed according to the approval level similarity, and the grouping total amount is controlled to meet the target; and finally, planning conferences for the groups and configuring conference approval personnel according to approval levels, thereby realizing accurate matching of the project groups and the target conference number, reducing approval redundant information transmission through primary combination, ensuring grouping level adaptation through secondary combination, optimizing resource utilization through personnel configuration, and finally improving project approval efficiency and conference arrangement rationality. And the approval scheduling demand of the target conference number is satisfied.

The invention discloses an automatic construction log generation method and system based on working condition keywords, and the method comprises the following steps: S1, creating project groups, and constructing a working condition keyword library K in the corresponding groups according to the project types; s2, group messages in the group are collected, working condition keywords are recognized in real time through an AI matching function, and the types of the group messages comprise at least one of texts, voices and images; when the keyword matching degree meets the condition that f (m, ki) is greater than or equal to theta, the log content is marked as effective log content, and an effective log information set is output; s3, performing context-aware optimization, structured analysis and standardization processing on the effective information set acquired in the step S2, and generating a corresponding construction log; and S4, distributing the construction logs obtained in the step S3 to related parties according to a preset list, and meanwhile, filing the construction logs to a cloud database according to dates, types and user identities. The invention aims to greatly improve the construction log recording efficiency.

The invention discloses a centralized online project management system, and relates to the technical field of artificial intelligence, the system comprises a database module, an interface module and an auxiliary module, the auxiliary module is used for determining a plurality of display fields of a corresponding to-be-online project according to an online plan when the online plan is received, and displaying the display fields of the to-be-online project according to the display fields of the to-be-online project. The method comprises the following steps: acquiring a to-be-online project, creating a project group corresponding to the to-be-online project, and then synchronizing online data of the to-be-online project in the project group, the online data being determined according to a plurality of display fields; the database module is used for storing project data of the to-be-online project; and the interface module is used for displaying a plurality of display fields corresponding to the item to be online on at least one deployed platform. Through the system, each to-be-online project can be monitored in time, and the online plan of the to-be-online project is prevented from being influenced.

The invention relates to the technical field of artificial intelligence and engineering project management, and particularly discloses a project group performance intelligent assessment method and device. The method is especially suitable for a project group management scene, and examination work is carried out from multiple dimensions of task completion, organization coordination, cross-project collaboration, research, development, innovation and the like. The method comprises the following steps: acquiring three types of basic data including characters, images and structured data; semantic decoding is carried out through a large language model, image recognition is carried out through a convolutional neural network, structured data is processed through a standardized algorithm, and multi-source data preprocessing is achieved; extracting static features based on a multi-layer sensing network, and extracting dynamic time sequence features based on a long short-term memory network; and a big language model is utilized to generate an interpretive performance comment, and finally a comprehensive assessment report is output. The system is fused with a multi-mode AI model, has high scoring accuracy and high interpretability, and is particularly suitable for intelligent performance evaluation under a multi-project collaborative management situation.

The application provides an annotation and base class-based data screening method and system, comprising: establishing a programming language base class; establishing an aspect module and performing corresponding business logic assignment processing on fields according to the programming language base class and actual business requirements; assembling base class fields in the programming language base class into structured query language query conditions through the established Mybatis interception module, and then executing the structured query language to obtain corresponding results. The application puts all data screening related fields into a certain base class and extracts all assignment and business logic processing parts of the fields to an aspect class based on the industry mainstream open source framework SpringBoot, and the aspect class uniformly processes, so that the project group screening function code sharing is realized, the code is non-invasive, the coding speed of the developer is greatly improved, and the bug repair speed is also improved.

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 present invention relates to the fields of R & D and testing technologies, and provides a method for API information management based on the overall application system group. The main purpose is to facilitate the project team to automatically update the API information of the current system by invisibly monitoring the interface request and response data in the R & D and testing processes, and notify the relevant parties of the project. The solution will address the following issues: the communication of interface changes across systems completely relies on manual work, which is extremely prone to omissions and errors; testers cannot accurately obtain the scope of interface changes within the current version and cannot perform accurate testing. The main solutions include: 1. Deploy the Splunk system and gradually connect all application system groups as the system group log management system; 2. Build an API management platform, a manage scripts for batch querying the Splunk log database for various systems; b manage the startup and scheduled tasks of the scripts; c store the query results of the scripts by time; 3. Analyze the query results to determine whether there are changes in the interfaces; 4. Update the API information and notify the relevant parties.

This invention discloses a project portfolio optimization method based on heterogeneous networks, relating to the fields of project management and intelligent decision-making. The method first acquires project objectives, capability requirements, resource inputs, task dependencies, and risk information, and then standardizes and encodes projects, capabilities, tasks, resources, and strategies. Based on RDF triples, it constructs project association networks, capability association networks, and capability-project fusion heterogeneous networks. It uses grey relational analysis and entropy weighting to determine capability importance, and combines project support, project contribution, data envelopment analysis, CRITIC, critical path method, and TOPSIS to complete project value, core projects, critical path, and risk assessment. Under budget, capability thresholds, project mutual exclusion, and schedule constraints, a multi-objective portfolio optimization model is established, and NSGA-II is used to generate a Pareto optimal solution set. Finally, a recommended solution is output through weighted scoring. This invention can improve the systematicity, accuracy, and risk controllability of resource allocation.