Project management system and management method

Abstract

The invention relates to the technical field, in particular to a project management system and method, and the system comprises a personnel capability assessment module, a project demand analysis module, a progress and cost monitoring module, a multi-stage risk assessment module, a resource allocation adjustment module, and a data synchronization and visualization module. According to the invention, by analyzing the work records of the project personnel, quantitative evaluation of the work efficiency and cooperation capability is realized, data support is provided for prediction of resource demands, reasonable configuration of manpower and material resources is ensured, real-time monitoring of project progress and expenditure is combined, the change trend of cost is predicted, the hyper-branched risk is reduced, and the work efficiency and cooperation capability of the project personnel are improved. According to the method, resource cost and policy changes are considered, project risks are identified, resource configuration of multiple tasks of a target project is adjusted, the adaptability and success rate of the project are improved, data synchronization and visualization are combined, the project state is displayed in real time, team cooperation is optimized, decision-making efficiency and project transparency are improved, and smooth execution of the project is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of project management, and in particular to a project management system and a management method. Background Art

[0002] The field of project management technology involves various methods and tools for planning, organizing, scheduling, executing and monitoring project activities, aiming to ensure that project goals are achieved within the specified time, budget and quality standards. It is applied to construction engineering, software development, manufacturing, and service industries, including project scope management, time management, cost management, quality management, resource allocation, and risk management. It combines a variety of digital tools and software for resource scheduling, timeline tracking, and cost analysis to improve the efficiency of project management and help project managers make decisions and optimize project execution in the process of achieving project goals.

[0003] Among them, the project management system is designed to assist project managers and project team members to effectively manage projects and optimize the project planning, execution and monitoring processes, including automated task allocation, progress tracking, resource management, cost control, communication and coordination functions. By providing a centralized interface, it can record, update and share key information of various projects, improve project transparency, speed up the decision-making process, and promote the completion of projects on time and on budget. It can be used for a variety of complex and multi-stage projects to optimize coordination capabilities and work efficiency and ensure the smooth completion of projects.

[0004] Traditional project management systems lack sufficient flexibility to cope with rapidly changing project requirements and external environments, perform poorly in real-time data processing and multi-stage risk assessment, and cannot effectively synchronize the latest market trends and policy changes, resulting in project management decisions being based on outdated data, increasing the risk of project failure. In terms of resource allocation, they rely on the initial project plan and lack the ability to make dynamic adjustments. When a project faces an emergency, it is difficult to respond to changes in a timely manner, resulting in waste and shortage of resources. This is particularly prominent in complex projects that require a high degree of collaboration and rapid response, including construction engineering and software development, and it is difficult to support efficient project execution and quality control. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a project management system and a management method.

[0006] In order to achieve the above object, the present invention adopts the following technical solution, a project management system includes:

[0007] The personnel capability assessment module is based on the work records of project personnel. By analyzing the task completion records of multiple project personnel, the module assesses work efficiency and collaboration capabilities, calculates individual capability indicators, and generates team capability assessment results.

[0008] The project demand analysis module uses the team capability assessment results to extract and analyze key features of the target project's tasks at multiple stages, assess the resource requirements and types of the target project at multiple stages, and generate resource demand forecast results;

[0009] The progress and cost monitoring module uses the resource demand forecast results to monitor the progress and budget usage of the target project in real time, predict the cost change trend, and generate cost and progress monitoring results;

[0010] The multi-stage risk assessment module collects the cost change and policy change information of the project in real time based on the cost and progress monitoring results, and combines the project progress to assess the target project risk in real time and record the risk factors to generate the project risk assessment results;

[0011] The resource allocation adjustment module adjusts the project resource allocation in real time based on the project risk assessment results, risk identification and resource demand forecast results, matches and identifies risks, optimizes the utilization efficiency of resources at the key stages of the project, and generates the optimal configuration of project resources;

[0012] The data synchronization and visualization module utilizes the project resource optimization configuration, synchronizes various project data in real time, combines data visualization, displays project status in real time and optimizes personnel collaboration efficiency, and outputs project visualization management results.

[0013] As a further solution of the present invention, the team capability assessment results include member efficiency index, collaboration quality score, and skill rating data; the resource demand forecasting results include manpower demand in multiple stages, a list of key equipment requirements, and an estimated material consumption list; the cost and progress monitoring results include cost deviation analysis results, budget difference analysis results, and budget consumption rate; the project risk assessment results include a risk level ranking list, a key risk factor identification data set, and a risk warning time point; the project resource optimization configuration includes manpower allocation parameters, resource reconfiguration results, and resource allocation efficiency assessment information; the project visualization management results include a project progress dynamic graph, a resource allocation heat map, and risk status data.

[0014] As a further solution of the present invention, the personnel capability assessment module includes:

[0015] The task data evaluation submodule is based on the work records of project personnel and the task completion records of multiple members, analyzes and records the completion time and quality of multiple tasks, and generates task record analysis results;

[0016] The work efficiency analysis submodule evaluates the work efficiency of multiple project members based on the task record analysis results by calculating the average time and quality score of individual task completion, and generates individual efficiency evaluation results;

[0017] The collaboration capability analysis submodule is based on the individual efficiency evaluation results, analyzes the communication and collaboration records within the team, evaluates the collaboration quality and team interaction frequency of multiple members, and generates team capability evaluation results based on the work efficiency of multiple project personnel.

[0018] As a further solution of the present invention, the project demand analysis module includes:

[0019] The stage requirement characteristic analysis submodule analyzes the task types of multiple stages of the target project according to the team capability assessment results and the project plan, and generates task type information;

[0020] The skill matching analysis submodule analyzes the skills and resource types required for various tasks based on the task type information, evaluates the skill matching of the project team, and generates key skill matching results;

[0021] The project resource requirement calculation submodule uses the key skill matching results to analyze the amount and type of resources required for multiple stages of the target project and generate resource requirement forecast results.

[0022] As a further solution of the present invention, the progress and cost monitoring module includes:

[0023] The project progress identification submodule analyzes the start and completion dates of multiple tasks of the target project based on the resource demand forecast results, and compares them with the timeline in the project plan to analyze the advance and delay of tasks, the progress status of the equipment target project, and generates progress tracking analysis results;

[0024] The task expenditure analysis submodule collects and analyzes the actual expenditures of multiple stages based on the progress tracking analysis results, identifies the tasks with cost overruns and savings by comparing them with the predetermined budget, and generates actual cost comparison results;

[0025] The cost trend prediction submodule utilizes the actual cost comparison results, considers market changes and resource price fluctuations, analyzes the changing trend of budget expenditures, predicts project cost changes, and generates cost change prediction results.

[0026] As a further solution of the present invention, the multi-stage risk assessment module includes:

[0027] The risk data collection submodule collects external environmental data of the target project based on the cost change prediction results, including market dynamics, policy changes and resource price change information, and generates a risk-related data set;

[0028] The real-time risk analysis submodule evaluates the risk level of the target project in real time based on the risk-related data set, taking into account cost changes and the real-time progress of the project, and generates risk level evaluation data;

[0029] The key factor identification submodule is based on the risk level assessment data and, according to the risk level of the project, identifies multiple key risk factors that affect the project by assessing the degree of influence and probability of occurrence of multiple risk factors, and generates a project risk assessment result.

[0030] As a further solution of the present invention, the specific formula for real-time evaluation of the risk level of the target project is:

[0031]

[0032] Among them, R represents the calculated project risk level, which is a comprehensive score obtained by considering the weighted impact of each risk factor and the actual deviation of the project, and is used to quantify the overall risk status of the project. i Represents the weight of each risk factor. The weight is adjusted based on historical data and expert opinions to reflect the importance of different risk factors to the overall risk of the project. i Represents the current value of the corresponding risk factor, extracted from the real-time data stream, including the cost change rate and the degree of project delay, which is used to reflect the risk status of the project in real time. i Represents the deviation from the preset threshold and is the difference between the actual value of the risk and the expected safety value.

[0033] As a further solution of the present invention, the resource allocation adjustment module includes:

[0034] The associated task identification submodule identifies key risk points related to the target project based on the project risk assessment results, extracts task and resource type information associated with the target risk, and generates a risk resource matching list;

[0035] The allocation level adjustment submodule uses the risk resource matching list to calculate the resource allocation priorities of multiple tasks according to the target risk's demand for multiple resources and generates a priority adjustment record;

[0036] The resource allocation optimization submodule adjusts the resource allocation of multiple tasks of the project based on the priority adjustment records, optimizes the resource utilization efficiency in the key stages, and generates an optimized configuration of project resources.

[0037] As a further solution of the present invention, the data synchronization and visualization module includes:

[0038] The project data integration submodule collects various project data, including personnel communication information, operation records, project progress, and resource usage, based on the project resource optimization configuration, and generates a project integration data set;

[0039] The project information synchronization submodule is based on the project integrated data set, detects changes in various project data in real time, synchronizes project information, and generates real-time data synchronization results;

[0040] The visualization output submodule utilizes the real-time data synchronization results and uses data visualization to draw project flow charts and resource dependency diagrams, display project status in real time and optimize team collaboration, and generate project visualization management results.

[0041] A project management method, which is implemented based on the above project management system, comprises the following steps:

[0042] S1: Based on the work records of project personnel, by analyzing the work completion records of multiple project team members, evaluate work efficiency and collaboration capabilities, and analyze the task requirements of multiple stages of the target project according to the project plan, including evaluating the resource requirements and types of multiple stages, and generating resource demand forecast results;

[0043] S2: Using the resource demand forecast results, monitor the project progress and budget usage in real time, dynamically analyze the difference between the budget and actual expenditure, predict the cost change trend, and generate cost and progress monitoring results;

[0044] S3: Based on the cost and progress monitoring results, collect various external environment data in real time, including resource costs and policy changes, evaluate the impact of various changes on the project, evaluate project risks in combination with project progress, identify key risk factors, and generate project risk assessment results;

[0045] S4: According to the project risk assessment results, adjust resource allocation in real time, optimize resource utilization efficiency at key stages of the project, and generate optimal configuration of project resources;

[0046] S5: Use the project resource optimization configuration, synchronize various project data in real time, combine data visualization technology, display the project status in real time to optimize team collaboration efficiency, and generate project visualization management results.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are:

[0048] In the present invention, by analyzing the work records of project personnel, a quantitative evaluation of work efficiency and collaboration ability is achieved, data support is provided for the prediction of resource requirements, and the rational allocation of human and material resources is ensured. In combination with real-time monitoring of project progress and expenditure, the trend of cost changes is predicted, and the risk of overspending is reduced. Resource costs and policy changes are considered, project risks are identified, and resource allocation of multiple tasks of the target project is adjusted, thereby improving the adaptability and success rate of the project. In combination with data synchronization and visualization, the project status is displayed in real time and team collaboration is optimized, thereby improving decision-making efficiency and project transparency and promoting the smooth execution of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 is a system flow chart of the present invention;

[0050] Figure 2 It is a schematic diagram of the system framework of the present invention;

[0051] Figure 3 It is a flow chart of the personnel capability assessment module of the present invention;

[0052] Figure 4 It is a flow chart of the project demand analysis module of the present invention;

[0053] Figure 5 is a flow chart of the progress and cost monitoring module of the present invention;

[0054] Figure 6 is a flow chart of the multi-stage risk assessment module of the present invention;

[0055] Figure 7 It is a flow chart of the resource allocation adjustment module of the present invention;

[0056] Figure 8 It is a flow chart of the data synchronization and visualization module of the present invention;

[0057] Fig. 9 It is a schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0059] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0060] See also Figure 1 to Figure 2 The present invention provides a technical solution, a project management system comprising:

[0061] The personnel capability assessment module is based on the work records of project personnel. By analyzing the task completion records of multiple project personnel, the module assesses work efficiency and collaboration capabilities, calculates individual capability indicators, and generates team capability assessment results.

[0062] The project demand analysis module uses the team capability assessment results to extract and analyze the key features of the target project's tasks at multiple stages, assess the resource requirements and types of the target project at multiple stages, and generate resource demand forecast results;

[0063] The progress and cost monitoring module uses the resource demand forecast results to monitor the progress and budget usage of the target project in real time, predict the cost change trend, and generate cost and progress monitoring results;

[0064] The multi-stage risk assessment module collects the cost changes and policy change information of the project in real time based on the cost and progress monitoring results. Combined with the project progress, it assesses the target project risks in real time and records the risk factors to generate the project risk assessment results.

[0065] The resource allocation adjustment module is based on the project risk assessment results, risk identification and resource demand forecast results, and adjusts project resource allocation in real time, matches and identifies risks, optimizes resource utilization efficiency at key stages of the project, and generates optimal configuration of project resources;

[0066] The data synchronization and visualization module utilizes project resource optimization configuration, synchronizes multiple project data in real time, combines data visualization, displays project status in real time, optimizes personnel collaboration efficiency, and outputs project visualization management results.

[0067] The results of team capability assessment include member efficiency index, collaboration quality score, and skill rating data. The results of resource demand forecasting include manpower demand in multiple stages, a list of key equipment requirements, and an estimated material consumption list. The results of cost and progress monitoring include cost deviation analysis results, budget difference analysis results, and budget consumption rate. The results of project risk assessment include a risk level ranking list, a key risk factor identification data set, and a risk warning time point. The project resource optimization configuration includes manpower allocation parameters, resource reallocation results, and resource allocation efficiency evaluation information. The results of project visualization management include a dynamic project progress chart, a resource allocation heat map, and risk status data.

[0068] See also Figure 2 and Figure 3 , the personnel competency assessment modules include:

[0069] The task data evaluation submodule is based on the work records of project personnel and the task completion records of multiple members, analyzes and records the completion time and quality of multiple tasks, and generates task record analysis results;

[0070] In the above content, based on the work records of project personnel, the formula is used and Calculate the average completion time T and average quality score Q of the task. In this formula, t i represents the completion time of the i-th task, q i represents the quality score of the i-th task, n is the total number of tasks,

[0071] Detailed explanation of the formula and the process of formula calculation and derivation:

[0072] Assume that the target project personnel completed three tasks, with completion times t of 30, 45, and 60 minutes, and quality scores q of 80, 90, and 85, respectively. Calculate the average completion time and average quality score of each task:

[0073]

[0074] The results T=45 and Q=85 show that the average task completion time of the target project personnel is 45 minutes and the average quality score is 85. The values ​​are used to provide benchmark data for subsequent steps and analyze the team's work efficiency and collaboration capabilities.

[0075] The work efficiency analysis submodule is based on the task record analysis results. It calculates the average time and quality score of individual task completion, evaluates the work efficiency of multiple project members, and generates individual efficiency evaluation results.

[0076] In the work efficiency analysis submodule, based on the task record analysis results, the average time and quality score of each project member to complete the task are calculated. The completion time and quality score of each member on all tasks are summarized and the average value is calculated using a numerical calculation method. The parameters involved include task completion time and task quality score. For each member, the average completion time and average quality score are calculated separately. Data normalization is used to convert the time and quality data into a unified scale to facilitate cross-individual comparison. The weighted average formula is used to score efficiency. Taking into account that the importance of different types of tasks may be different, different weight coefficients are assigned. The generated personal efficiency evaluation results show the work efficiency of each member, including the difference in ability to handle routine tasks and complex tasks, providing decision support for management.

[0077] The collaboration capability analysis submodule is based on the individual efficiency evaluation results. By analyzing the communication and collaboration records within the team, it evaluates the collaboration quality and team interaction frequency of multiple members, and combines the work efficiency of multiple project personnel to generate team capability evaluation results.

[0078] In the collaboration capability analysis submodule, based on the individual efficiency evaluation results, the communication and collaboration records of the project team members are analyzed. Social network analysis and communication frequency statistics are used to export communication records from the project management system, including emails, meeting minutes and instant messages. Text analysis technology is used to extract key communication events and participation frequencies. The process parameters include the communication initiator, receiver and timestamp. By constructing a communication network diagram, the interaction intensity and centrality between team members are evaluated. The degree centrality and closeness centrality in graph theory are used to measure the collaborative core position of team members. Combined with the individual efficiency evaluation results, the relationship between collaboration quality and individual efficiency is analyzed. The generated team capability evaluation results provide project management with a team dynamics perspective and help identify strengths and weaknesses in team collaboration.

[0079] See also Figure 2 and Figure 4 , the project requirements analysis module includes:

[0080] The stage requirement characteristics analysis submodule analyzes the task types of multiple stages of the target project based on the team capability assessment results and the project plan, and generates task type information;

[0081] In the stage requirement feature analysis submodule, based on the team capability assessment results and the content of the project plan, the task types and features of each stage in the target project are analyzed. Relying on text analysis technology, keyword extraction and semantic analysis are performed on the task description in the project plan. The parameters involved include the task description text and the predefined task classification standards. Natural language processing (NLP) technology, such as the TF-IDF algorithm, is used to perform weight analysis on the task description, determine the main features and categories of each task, apply clustering algorithms to group tasks, discover potential task type patterns, facilitate subsequent resource and skill allocation, generate task type information reports, list the task types and key features of each stage of the project, and provide a scientific basis for task classification for project management.

[0082] The skill matching analysis submodule analyzes the skills and resource types required for various tasks based on task type information, evaluates the skill matching of the project team, and generates key skill matching results;

[0083] In the skill matching analysis submodule, skill requirements were analyzed based on task type information. During the analysis, a decision tree analysis method was used to identify the key skills and resources required for various tasks. Relevant parameters included task types and corresponding skill requirement databases. The importance and urgency of skills corresponding to each task type were evaluated through the node division of the decision tree. By comparing the matching between the existing skills of the project team and task requirements, skill matching algorithms, such as cosine similarity measurement, were used to calculate the similarity between team member skills and task requirements, and generate key skill matching results. The results show the skill coverage and matching degree of the project team on different task types, providing accurate data support for project resource allocation and manpower arrangements.

[0084] The project resource demand calculation submodule uses the key skills matching results to analyze the amount and type of resources required at multiple stages of the target project and generate resource demand forecast results;

[0085] The project resource requirement calculation submodule uses the key skill matching results to analyze and predict the resource requirements of multiple stages of the target project. It adopts resource requirement prediction models, such as linear regression models, to estimate the amount and type of resources required at different stages. The parameter types include the complexity of tasks at each stage and the skill matching results. Historical project data and industry standards are considered as references. Through regression analysis, the module calculates the expected resource consumption for each project stage, including manpower, materials and time. The calculation process records the selection of input data, calibration of the model and verification steps of the prediction results. The generated resource requirement prediction results list the amount and type of resources at each stage, provide optimization suggestions for resource allocation, and help the project management team effectively allocate resources to ensure the smooth execution of the project.

[0086] See also Figure 2 and Figure 5 , the progress and cost monitoring module includes:

[0087] The project progress identification submodule is based on the resource demand forecast results. By analyzing the start and completion dates of multiple tasks of the target project and comparing them with the timeline in the project plan, it analyzes the advance and delay of tasks, the progress status of the equipment target project, and generates progress tracking analysis results;

[0088] In the project progress identification submodule, based on the resource demand forecast results, the actual start and completion dates of each task are monitored and analyzed. The parameters include the start and end timestamps and planned time of the task. Time series analysis techniques, such as the ARIMA model, are used to compare the actual and planned execution times of each task. In the process, the time deviation of each task is calculated, that is, the number of days in advance or delay. The deviation analysis method is used to quantitatively evaluate the overall time management efficiency of the project. The generated progress tracking analysis results describe the time deviation of each task in the project and identify key delayed tasks, which provides project managers with timely progress adjustment basis and risk warning.

[0089] The task expenditure analysis submodule collects and analyzes the actual expenditures of multiple stages based on the progress tracking analysis results, identifies the tasks with cost overruns and savings by comparing them with the predetermined budget, and generates actual cost comparison results;

[0090] In the task expenditure analysis submodule, based on the progress tracking analysis results, the actual expenditure data collection and analysis tasks are performed, and financial analysis methods, such as variance analysis, are used to compare the differences between actual expenditures and budgets. The parameters involved include the budget amount and actual expenses of each stage. Not only the cost overruns or savings of individual tasks are examined, but also the overall financial health of the project is evaluated. Considering the impact of changes in project progress on costs, regression analysis is used to identify the correlation between progress and cost. The actual cost comparison results generated reveal the effectiveness of cost control and possible risk points, providing data support for financial planning and control.

[0091] The cost trend forecasting submodule uses the actual cost comparison results, considers market changes and resource price fluctuations, analyzes the changing trend of budget expenditures, predicts project cost changes, and generates cost change forecast results;

[0092] The cost trend forecasting submodule uses the actual cost comparison results to perform cost trend analysis and forecasting tasks. It uses economic forecasting models, such as moving average and exponential smoothing, to analyze the potential impact of market changes and resource price fluctuations on project costs. Parameter types include historical price data, market trend reports, and budget data. It calculates the possible range of future cost changes and evaluates the potential impact of target changes on project finances. The generated cost change forecast results predict the budget requirements of the project in future stages, providing a forward-looking financial decision-making basis for project management and helping the project team optimize resource allocation and cost control strategies.

[0093] See also Figure 2 and Figure 6 , the multi-stage risk assessment module includes:

[0094] The risk data collection submodule collects external environmental data of the target project based on the cost change forecast results, including market dynamics, policy changes, and resource price change information, and generates risk-related data sets;

[0095] In the risk data collection submodule, based on the cost change prediction results, we focus on collecting external environmental data related to the target project, including market dynamics, policy changes and resource price change information. The data collection technologies used include web crawlers and API data capture, which automatically obtain the latest market and policy information from multiple online data sources. The parameter types involve the release date of policy changes, market price index and resource type. Time series analysis is used to track price change trends and provide baseline data for risk assessment. The generated risk-related data sets are preliminarily processed and screened to ensure the relevance and accuracy of the data, providing real-time updated environmental information for the next step of risk assessment.

[0096] The real-time risk analysis submodule evaluates the risk level of the target project in real time based on the risk-related data set, taking into account cost changes and the real-time progress of the project, and generates risk level assessment data;

[0097] The specific formula for real-time assessment of the risk level of the target project is:

[0098]

[0099] Among them, R represents the calculated project risk level, which is a comprehensive score obtained by considering the weighted impact of each risk factor and the actual deviation of the project, and is used to quantify the overall risk status of the project. i Represents the weight of each risk factor. The weight is adjusted based on historical data and expert opinions to reflect the importance of different risk factors to the overall risk of the project. i Represents the current value of the corresponding risk factor, extracted from the real-time data stream, including the cost change rate and the degree of project delay, which is used to reflect the risk status of the project in real time. i Represents the deviation from the preset threshold and is the difference between the actual value of the risk and the expected safety value.

[0100] formula:

[0101]

[0102] Detailed explanation of the formula and the process of formula calculation and derivation:

[0103] The formula is used to calculate the overall risk level of the project, and the results are used to guide project risk management and decision making;

[0104] Parameter meaning and setting value:

[0105] w iis the weight of each risk factor, assuming w = [0.3, 0.4, 0.3], reflecting the relative importance of cost increase risk, schedule delay risk and compliance risk in the overall project risk assessment;

[0106] x i is the current actual value of the corresponding risk factor. Assume x = [10%, 20%, 15%], and the value represents the actual monitored cost overrun rate, schedule delay rate, and compliance issue rate of the current project;

[0107] d i is the deviation between the current value of the risk factor and the threshold. Assume that d = [5%, 10%, 5%], which indicates the deviation between the current actual risk value and the project risk management threshold.

[0108] Substitute the parameters into the formula for calculation:

[0109]

[0110] The result R=1.27 indicates that the current risk level of the project is above medium. The value is used to help project managers understand the risk status of the project, adjust resources and strategies to mitigate potential risks, and improve the success rate of the project.

[0111] The key factor identification submodule is based on the risk level assessment data. According to the risk level of the project, it evaluates the impact and probability of various risk factors, identifies various key risk factors that affect the project, and generates project risk assessment results.

[0112] The key factor identification submodule is based on the risk level assessment data and uses the decision tree analysis method to identify and assess the key factors of project risk. It analyzes the risk level assessment data and determines the risk level cut-off points. The parameters include the value of the risk level and the corresponding degree of influence of the risk factors. By constructing a decision tree model, it analyzes the contribution of each risk factor to the project risk and the probability of occurrence of multiple factors. It combines expert input and historical data to adjust and verify the impact assessment of factors. The generated project risk assessment results list the key risk factors that affect the success of the project, providing important decision-making support for project risk management.

[0113] See also Figure 2 and Figure 7 , the resource allocation adjustment module includes:

[0114] The associated task identification submodule identifies key risk points related to the target project based on the project risk assessment results, extracts the task and resource type information associated with the target risk, and generates a risk resource matching list;

[0115] In the associated task identification submodule, based on the project risk assessment results, we focus on identifying key risk points that are closely related to the target project. We use association rule mining technology, and the parameters include the type and impact level of risk factors, as well as data on related tasks and resources. By analyzing project documents and historical risk events, we identify potential risk points and their characteristics. We apply the Apriori algorithm to analyze the relationship between risk points and project tasks, and find out the strong association rules between risks and tasks. Through data clustering analysis, the module refines the relationship between risks and resources to ensure that each resource type has the highest matching degree with the corresponding risk point. The generated risk resource matching list lists the tasks and resources associated with each risk point, providing accurate risk response measures for project management.

[0116] The allocation level adjustment submodule uses the risk resource matching list to calculate the resource allocation priorities of multiple tasks based on the target risk's demand for multiple resources and generates priority adjustment records;

[0117] In the resource allocation process, the priority of various resources is calculated according to the risk resource matching list to ensure that key risk points receive appropriate resource responses. Calculate the resource allocation priority of each task, balance the resource allocation in the project, automatically adjust resources according to the urgency and criticality of the task, ensure that key tasks receive the necessary support, and improve the response capability and resource utilization efficiency of the entire project.

[0118] Where P represents the resource allocation priority of the task, r i represents the demand for each resource, w i represents the risk weight associated with resources, R represents the total amount of available resources, and n is the number of resource types.

[0119] Detailed explanation of the formula and the process of formula calculation and derivation:

[0120] Assume that the target project has three main resource requirements, namely manpower, equipment and materials. Assume that the manpower requirement r1 = 15, the equipment requirement r2 = 10, and the material requirement r3 = 5. The corresponding risk weights are w1 = 0.5, w2 = 0.3, and w3 = 0.2. The total available resources R = 100. Calculate P:

[0121]

[0122] P = 0.115

[0123] The result P=0.115 means that in resource allocation, taking into account the demand and risk weights corresponding to various resources, after the overall resource configuration is optimized, the resource allocation priority of the task is 11.5%. The value is used to allocate project resources to ensure that key risks are reasonably responded to and maximize the efficiency of resource utilization.

[0124] The resource allocation optimization submodule adjusts the resource allocation of multiple tasks of the project based on the priority adjustment records, optimizes the resource utilization efficiency at the key stage, and generates the optimal configuration of project resources;

[0125] The resource allocation optimization submodule performs configuration optimization of project resources based on priority adjustment records. It adopts genetic algorithm with parameters including task resource requirements, priority information and total resources. It evaluates the contribution of different resource allocation schemes to project efficiency by defining a fitness function. It uses the iterative evolution process to adjust resource allocation and find the solution with the most optimized resource utilization. It evaluates the efficiency of resource allocation scheme in each iteration and makes adjustments according to the requirements of key stages of the project. The generated project resource optimization configuration explains the resource allocation of tasks at each stage and shows the optimization results of key task resource allocation, which helps to improve the overall execution efficiency and success rate of the project.

[0126] See also Figure 2 and Figure 8 , the data synchronization and visualization module includes:

[0127] The project data integration submodule collects various project data, including personnel communication information, operation records, project progress, and resource usage, based on the optimal configuration of project resources, and generates a project integration data set;

[0128] The project data integration submodule adopts data aggregation technology, based on the optimal configuration of project resources, to collect various types of project data, including personnel communication information, operation records, project progress and resource usage. It uses ETL tools to perform data extraction process to ensure the latest data from various databases and online tools. The parameter types involve data source identification, timestamp and data quality indicators. In the data conversion stage, data cleaning and standardization techniques are applied, such as data deduplication and format standardization, to ensure data consistency and accuracy. The loading stage involves integrating the processed data into a centralized data warehouse to facilitate data analysis and report generation. The generated project integration data set provides a comprehensive project view to support data analysis and decision making.

[0129] The project information synchronization submodule is based on the project integrated data set. It detects changes in various project data in real time, synchronizes project information, and generates real-time data synchronization results.

[0130] The project information synchronization submodule performs real-time data synchronization operations based on the project integrated data set. The technologies used include WebSocket and message queues. It monitors changes in the data set in real time. Parameter types include data update frequency and change threshold. By establishing a real-time data channel, key data changes are captured instantly and pushed to relevant parties. The differential synchronization mechanism is applied to transmit only the changed data part, optimize data transmission efficiency and reduce system load. The generated real-time data synchronization results ensure the consistency and timeliness of project information throughout the organization, and support dynamic adjustment and instant decision-making of project management.

[0131] The visualization output submodule uses real-time data synchronization results, uses data visualization to draw project flow charts and resource dependency diagrams, displays project status in real time and optimizes team collaboration, and generates project visualization management results;

[0132] The visualization output submodule uses real-time data synchronization results and data visualization technologies such as Tableau and Power BI to draw project flow charts and resource dependency diagrams, design data models, and parameters including data dimensions, metrics, and relationship types. By building interactive dashboards and charts, it displays the multi-dimensional status of the project, including progress tracking, resource allocation, and team collaboration. The dynamic update function is applied so that the visualization results can be updated in real time according to the latest data. The generated project visualization management results not only enhance project transparency, but also optimize team collaboration and communication efficiency through intuitive graphical information display.

[0133] See also Fig. 9 A project management method is provided, and the project management method is implemented based on the above project management system, and comprises the following steps:

[0134] S1: Based on the work records of project personnel, by analyzing the work completion records of multiple project team members, evaluate work efficiency and collaboration capabilities, and analyze the task requirements of multiple stages of the target project according to the project plan, including evaluating the resource requirements and types of multiple stages, and generating resource demand forecast results;

[0135] S2: Use the resource demand forecast results to monitor the project progress and budget usage in real time, dynamically analyze the difference between budget and actual expenditure, predict cost change trends, and generate cost and progress monitoring results;

[0136] S3: Based on the cost and progress monitoring results, collect various external environment data in real time, including resource costs and policy changes, evaluate the impact of various changes on the project, evaluate project risks in combination with project progress, identify key risk factors, and generate project risk assessment results;

[0137] S4: According to the project risk assessment results, adjust resource allocation in real time, optimize the utilization efficiency of resources in the key stages of the project, and generate the optimal configuration of project resources;

[0138] S5: Use project resources to optimize configuration, synchronize various project data in real time, combine data visualization technology, display project status in real time to optimize team collaboration efficiency, and generate project visualization management results.

[0139] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A project management system, characterized in that: The system comprises: The personnel capability assessment module is based on the work records of project personnel. By analyzing the task completion records of multiple project personnel, the module assesses work efficiency and collaboration capabilities, calculates individual capability indicators, and generates team capability assessment results. The project demand analysis module uses the team capability assessment results to extract and analyze key features of the target project's tasks at multiple stages, assess the resource requirements and types of the target project at multiple stages, and generate resource demand forecast results; The progress and cost monitoring module uses the resource demand forecast results to monitor the progress and budget usage of the target project in real time, predict the cost change trend, and generate cost and progress monitoring results; The multi-stage risk assessment module collects the cost change and policy change information of the project in real time based on the cost and progress monitoring results, and combines the project progress to assess the target project risk in real time and record the risk factors to generate the project risk assessment results; The resource allocation adjustment module adjusts the project resource allocation in real time based on the project risk assessment results, risk identification and resource demand forecast results, matches and identifies risks, optimizes the utilization efficiency of resources at the key stages of the project, and generates the optimal configuration of project resources; The data synchronization and visualization module utilizes the project resource optimization configuration, synchronizes various project data in real time, combines data visualization, displays project status in real time and optimizes personnel collaboration efficiency, and outputs project visualization management results.

2. The project management system according to claim 1, characterized in that: The team capability assessment results include member efficiency index, collaboration quality score, and skill rating data; the resource demand forecasting results include manpower demand in multiple stages, a list of key equipment requirements, and an estimated material consumption list; the cost and progress monitoring results include cost deviation analysis results, budget difference analysis results, and budget consumption rate; the project risk assessment results include a risk level ranking list, a key risk factor identification data set, and a risk warning time point; the project resource optimization configuration includes manpower allocation parameters, resource reallocation results, and resource allocation efficiency assessment information; the project visualization management results include a project progress dynamic graph, a resource allocation heat map, and risk status data.

3. The project management system according to claim 1, characterized in that: The personnel competency assessment module includes: The task data evaluation submodule is based on the work records of project personnel and the task completion records of multiple members, analyzes and records the completion time and quality of multiple tasks, and generates task record analysis results; The work efficiency analysis submodule evaluates the work efficiency of multiple project members based on the task record analysis results by calculating the average time and quality score of individual task completion, and generates individual efficiency evaluation results; The collaboration capability analysis submodule is based on the individual efficiency evaluation results, analyzes the communication and collaboration records within the team, evaluates the collaboration quality and team interaction frequency of multiple members, and generates team capability evaluation results based on the work efficiency of multiple project personnel.

4. The project management system according to claim 1, characterized in that: The project requirements analysis module includes: The stage requirement characteristic analysis submodule analyzes the task types of multiple stages of the target project according to the team capability assessment results and the project plan, and generates task type information; The skill matching analysis submodule analyzes the skills and resource types required for various tasks based on the task type information, evaluates the skill matching of the project team, and generates key skill matching results; The project resource requirement calculation submodule uses the key skill matching results to analyze the amount and type of resources required for multiple stages of the target project and generate resource requirement forecast results.

5. The project management system according to claim 1, characterized in that: The progress and cost monitoring module includes: The project progress identification submodule analyzes the start and completion dates of multiple tasks of the target project based on the resource demand forecast results, and compares them with the timeline in the project plan to analyze the advance and delay of tasks, the progress status of the equipment target project, and generates progress tracking analysis results; The task expenditure analysis submodule collects and analyzes the actual expenditures of multiple stages based on the progress tracking analysis results, identifies the tasks with cost overruns and savings by comparing them with the predetermined budget, and generates actual cost comparison results; The cost trend prediction submodule utilizes the actual cost comparison results, considers market changes and resource price fluctuations, analyzes the changing trend of budget expenditures, predicts project cost changes, and generates cost change prediction results.

6. The project management system according to claim 1, characterized in that: The multi-stage risk assessment module includes: The risk data collection submodule collects external environmental data of the target project based on the cost change prediction results, including market dynamics, policy changes and resource price change information, and generates a risk-related data set; The real-time risk analysis submodule evaluates the risk level of the target project in real time based on the risk-related data set, taking into account cost changes and the real-time progress of the project, and generates risk level evaluation data; The key factor identification submodule is based on the risk level assessment data and, according to the risk level of the project, identifies multiple key risk factors that affect the project by assessing the degree of influence and probability of occurrence of multiple risk factors, and generates a project risk assessment result.

7. The project management system according to claim 6, characterized in that: The specific formula for real-time assessment of the risk level of the target project is: Among them, R represents the calculated project risk level, which is a comprehensive score obtained by considering the weighted impact of each risk factor and the actual deviation of the project, and is used to quantify the overall risk status of the project. i Represents the weight of each risk factor. The weight is adjusted based on historical data and expert opinions to reflect the importance of different risk factors to the overall risk of the project. i Represents the current value of the corresponding risk factor, extracted from the real-time data stream, including the cost change rate and the degree of project delay, which is used to reflect the risk status of the project in real time. i Represents the deviation from the preset threshold and is the difference between the actual value of the risk and the expected safety value.

8. The project management system according to claim 1, characterized in that: The resource allocation adjustment module includes: The associated task identification submodule identifies key risk points related to the target project based on the project risk assessment results, extracts task and resource type information associated with the target risk, and generates a risk resource matching list; The allocation level adjustment submodule uses the risk resource matching list to calculate the resource allocation priorities of multiple tasks according to the target risk's demand for multiple resources and generates a priority adjustment record; The resource allocation optimization submodule adjusts the resource allocation of multiple tasks of the project based on the priority adjustment records, optimizes the resource utilization efficiency in the key stages, and generates an optimized configuration of project resources.

9. The project management system according to claim 1, characterized in that: The data synchronization and visualization module includes: The project data integration submodule collects various project data, including personnel communication information, operation records, project progress, and resource usage, based on the project resource optimization configuration, and generates a project integration data set; The project information synchronization submodule is based on the project integrated data set, detects changes in various project data in real time, synchronizes project information, and generates real-time data synchronization results; The visualization output submodule utilizes the real-time data synchronization results and uses data visualization to draw project flow charts and resource dependency diagrams, display project status in real time and optimize team collaboration, and generate project visualization management results.

10. A project management method, characterized in that: The project management system according to any one of claims 1 to 9 is implemented, comprising the following steps: Based on the work records of project personnel, by analyzing the work completion records of multiple project team members, evaluate work efficiency and collaboration capabilities, and according to the project plan, analyze the task requirements of multiple stages of the target project, including evaluating the resource requirements and types of multiple stages, and generating resource demand forecast results; Using the resource demand forecast results, monitor the project progress and budget usage in real time, and predict cost change trends by dynamically analyzing the difference between budget and actual expenditures to generate cost and progress monitoring results; Based on the cost and progress monitoring results, various external environment data are collected in real time, including resource costs and policy changes, the impact of various changes on the project is evaluated, project risks are evaluated in combination with project progress, key risk factors are identified, and project risk assessment results are generated; According to the project risk assessment results, adjust resource allocation in real time, optimize resource utilization efficiency at key stages of the project, and generate optimal configuration of project resources; Use the project resource optimization configuration, synchronize various project data in real time, combine data visualization technology, display project status in real time, optimize team collaboration efficiency, and generate project visualization management results.

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