Engineering project management method and system, electronic equipment and storage medium

Abstract

The invention discloses an engineering project management method and system, electronic equipment and a storage medium, and relates to the field of project management. In the method, engineering projects with the same nature are summarized together to form a plurality of project groups, and an access level is set for each project group; information data of a construction site of each engineering project are obtained, the information data comprise engineering material consumption, labor distribution and equipment operation conditions, and potential risk factors and potential cost increase factors in the project progress are determined according to the information data; generating a time planning adjustment scheme and a cost planning adjustment scheme according to the potential risk factors and the potential cost growth factors of all the engineering projects in the target project group; and sending the time planning adjustment scheme and the cost planning adjustment scheme to a target administrator according to the access level of the target project group. By implementing the technical scheme provided by the invention, the scientificity and accuracy of project management and decision making are improved, and the potential risk and cost hyper-branched possibility are reduced.

Description

Technical Field

[0001] This application relates to the technical field of project management, and particularly to a management method, system, electronic device, and storage medium for engineering projects. Background Art

[0002] With the acceleration of the urbanization process, engineering projects have become increasingly complex, and the need for project management and monitoring has become more urgent. Effective project management can not only ensure the timely completion of the project, but also effectively control costs and improve project quality. However, in actual operation, due to factors such as the large scale of the project and the large number of participants, project management faces many challenges. How to scientifically and reasonably schedule projects and allocate resources has become an urgent problem to be solved.

[0003] Currently, in response to the problems existing in engineering project management, some conventional measures are generally taken in the industry. For example, by regularly holding project coordination meetings to summarize information from all aspects and timely discover and solve problems; implementing an on-site inspection system to keep track of the construction site in real time for quick response to emergencies. Although the above methods have improved the effect of project management to a certain extent, there are still some deficiencies. Especially when facing large-scale and variable engineering projects, the existing management methods are difficult to cover all details comprehensively, resulting in potential risk factors and cost growth factors that cannot be identified and processed in a timely manner. This will not only affect the smooth progress of the project, but also increase unnecessary cost expenditures and reduce overall benefits.

[0004] Therefore, a more systematic management method is needed that can accurately identify and effectively address these potential problems at an early stage, thereby improving the overall level of project management. Summary of the Invention

[0005] This application provides a management method, system, electronic device, and storage medium for engineering projects, which improves the scientificity and accuracy of project management and decision-making, and reduces the possibility of potential risks and cost overruns.

[0006] In the first aspect of this application, a management method for engineering projects is provided, which is applied to an engineering project management platform. The method includes: Group engineering projects of the same nature together to form multiple project groups, and set access levels for each project group; Obtain information data on the construction sites of each engineering project. The information data includes engineering material consumption, labor distribution, and equipment operation status. Determine potential risk factors and potential cost growth factors in the project progress based on the information data; Generate a time plan adjustment plan and a cost plan adjustment plan based on the potential risk factors and potential cost growth factors of all engineering projects in the target project group; Send the time plan adjustment plan and the cost plan adjustment plan to the target administrator according to the access level of the target project group.

[0007] Optionally, the determining of potential risk factors and potential cost growth factors in the project progress according to the information data includes: Obtain cost data and impact data from the information data, where the cost data includes material procurement costs, labor costs, equipment rental costs, and subcontractor fees, and the impact data includes project progress data, quality data, and change request data; Process the cost data and the impact data to extract cost growth characteristics, where the cost growth characteristics include material usage rate, labor utilization rate, and equipment utilization rate; Reduce the dimension of the cost growth characteristics to obtain principal component characteristics, and input the principal component characteristics into a preset unsupervised learning model to obtain potential cost growth factors.

[0008] Optionally, the determining of potential risk factors and potential cost growth factors in the project progress according to the information data includes: Conduct time series analysis on the project progress data to identify progress delay patterns; Determine quality problems according to the quality data, and determine the change frequency according to the change request data; Input the cost growth characteristics, the progress delay patterns, the quality problems, and the change frequency into a preset project progress risk prediction model to obtain potential risk factors.

[0009] Optionally, the generating of a time plan adjustment plan and a cost plan adjustment plan according to the potential risk factors and potential cost growth factors of all engineering projects in the target project group includes: Determine the priority of the potential risk factors according to the severity and likelihood of occurrence of the potential risk factors; Determine the growth range and growth ratio of the total project cost according to the potential cost growth factors, and determine the impact degree of the potential cost growth factors according to the growth range and the growth ratio; Determine the order of generating the adjustment plan according to the priority of the potential risk factors and the impact degree of the potential cost growth factors; Generate the time plan adjustment plan and the cost plan adjustment plan for all engineering projects in the target project group in sequence according to the order.

[0010] Optionally, the determining of the priority of the potential risk factors according to the severity and likelihood of occurrence of the potential risk factors includes: Assign a severity score and a likelihood score to each potential risk factor, where both the severity score and the likelihood score are based on a preset scoring criterion; Calculate a risk priority index for each potential risk factor according to the severity score and the likelihood score; Rank all potential risk factors according to the risk priority index to determine the priority of each potential risk factor.

[0011] Optionally, the determining the increase range and increase ratio of the total project cost according to the potential cost growth factor, and determining the influence degree of the potential cost growth factor according to the increase range and the increase ratio includes: Predict the expected growth contribution of the potential cost growth factor to the total project cost based on the historical data and current trend of the potential cost growth factor; Determine the increase range of the total project cost according to the expected growth contribution, and determine the increase ratio of the total project cost according to the ratio of the increase range to the initial budget cost; Perform a weighted sum of the increase range and the increase ratio to obtain an influence factor, and determine the influence degree of the potential cost growth factor according to the influence factor.

[0012] Optionally, the generating a time plan adjustment plan and a cost plan adjustment plan according to the potential risk factors and potential cost growth factors of all engineering projects in the target project group includes: Re-evaluate the duration of the critical path according to the potential risk factors, where the critical path is the longest task sequence in the remaining work of the engineering project; Analyze the tasks on the critical path, identify the first target tasks that can be executed in parallel, and rearrange the construction sequence of the critical path according to the first target tasks to reduce the duration; Evaluate the utilization efficiency of existing resources, identify the second target tasks with utilization efficiency lower than the threshold, and increase resource investment in the second target tasks to reduce the duration.

[0013] In a second aspect of the present application, a management system for engineering projects is provided, including an induction module, an analysis module, an adjustment module, and a display module, where: The induction module is configured to group engineering projects of the same nature together to form multiple project groups, and set an access level for each project group; The analysis module is configured to obtain information data of the construction site of each engineering project, where the information data includes engineering material consumption, labor distribution, and equipment operation status, and determine potential risk factors and potential cost growth factors in the project progress according to the information data; An adjustment module, configured to generate a time plan adjustment plan and a cost plan adjustment plan according to the potential risk factors and potential cost growth factors of all engineering projects in the target project group; A display module, configured to send the time plan adjustment plan and the cost plan adjustment plan to the target administrator according to the access level of the target project group.

[0014] In a third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, and both the user interface and the network interface are used to communicate with other devices. The processor is used to execute the instructions stored in the memory, so that the electronic device executes the method described in any one of the above.

[0015] In a fourth aspect of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores instructions, and when the instructions are executed, the method described in any one of the above is executed.

[0016] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Engineering projects of the same nature are grouped together to form multiple project groups, realizing centralized management and unified coordination of multiple projects. Compared with the traditional single-project management mode, it can allocate resources and share information more efficiently, reducing duplicate management work and communication costs; the engineering project management platform automatically obtains information data on the construction site and generates a time plan adjustment plan and a cost plan adjustment plan based on these data, reducing the time for manual analysis and decision-making, and improving the timeliness and accuracy of management decisions. Managers do not need to spend a lot of time manually collecting and analyzing data, but can quickly obtain key information with the help of the platform's automation function, discover problems in time and take measures, making project management more efficient and agile; 2. Determine the potential risk factors and potential cost growth factors in the project progress according to the information data on the construction site, enabling the project team to identify in advance the risk points that may affect the project progress and cost. This early warning mechanism wins valuable response time for the project team, helps to take preventive measures or formulate response strategies, and reduces the probability and impact of risks; further analyze the expected growth contribution of potential cost growth factors to the total project cost, as well as the severity and likelihood of potential risk factors, to accurately locate the source and key influencing factors of risks. The project team can focus on monitoring and managing high-risk factors, concentrating resources to solve the most critical problems, rather than blindly dealing with all potential risks, improving the accuracy and effectiveness of risk control; 3. Forecast the expected growth contribution of the potential cost growth factor to the total project cost based on historical data and current trends, enabling the project team to anticipate cost change trends in advance and adjust the cost plan in a timely manner. By calculating the growth rate and growth ratio of the total project cost and obtaining the impact factor through weighted summation of the growth rate and growth ratio, the project team can conduct a cost-benefit analysis of different cost control measures and select the optimal solution for implementation. This helps to minimize costs while ensuring project quality and improve the economic efficiency of the project. 4. Re-evaluate the duration of the critical path based on potential risk factors, identify tasks that can be executed in parallel by analyzing the tasks on the critical path, re-arrange the construction sequence, and evaluate the utilization efficiency of existing resources. Increase resource input to effectively shorten the length of the critical path. This helps to accelerate the project schedule, reduce the risk of project delay caused by critical task delays, and ensure that the project can be delivered on time or in advance. Regularly track and evaluate the implementation of the time plan adjustment plan, and make dynamic adjustments based on the actual progress and newly emerging risk factors to make the project schedule management more flexible and adaptable. The project team can adjust the work plan and resource allocation in a timely manner according to the actual situation, continuously optimize the project schedule, and better respond to various uncertainties and changes during project implementation. Description of the Drawings

[0017] Figure 1 is a schematic flowchart of the management method for engineering projects disclosed in the embodiments of the present application; Figure 2 is a schematic block diagram of the management system for engineering projects disclosed in the embodiments of the present application; Figure 3 is a schematic structural diagram of an electronic device disclosed in the embodiments of the present application.

[0018] Description of the Reference Numerals: 201, induction module; 202, analysis module; 203, adjustment module; 204, display module; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. Detailed Embodiments

[0019] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments.

[0020] In the description of the embodiments of the present application, words such as "for example" or "for illustration" are used to give examples, illustrations or explanations. Any embodiment or design solution described as "for example" or "for illustration" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "for example" or "for illustration" is intended to present relevant concepts in a specific manner.

[0021] In the description of the embodiments of the present application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The terms "comprise", "include", "have" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0022] This embodiment discloses a management method for engineering projects, which is applied to an engineering project management platform. Figure 1 It is a schematic flowchart of the management method for engineering projects disclosed in the embodiments of the present application. As Figure 1 shown, the method includes the following steps: S101. Group engineering projects of the same nature together to form a plurality of project groups, and set access levels for each project group; S102. Obtain information data of the construction sites of each engineering project. The information data includes engineering material consumption, labor distribution, and equipment operation status, and determine potential risk factors and potential cost growth factors in the project progress according to the information data; S103. Generate a time plan adjustment plan and a cost plan adjustment plan according to the potential risk factors and potential cost growth factors of all engineering projects in the target project group; S104. Send the time plan adjustment plan and the cost plan adjustment plan to the target administrator according to the access level of the target project group.

[0023] Group engineering projects with similar natures together to form a plurality of project groups. These project groups can be classified based on project type (such as infrastructure construction, real estate development, technology research and development, etc.), project scale, industry characteristics, or other relevant criteria. For example, all infrastructure construction projects can be grouped into one group, and all real estate development projects can be grouped into another group. Set different access levels for each project group to ensure that managers at different levels can access corresponding levels of information. The access levels can be divided into multiple levels. For example: Owner: The highest level, can access the detailed information and summary data of all project groups, and make macro decisions and resource allocation.

[0024] Maintainer: The intermediate level, can access the detailed information of specific project groups, and conduct project management and coordination.

[0025] Developer: The lower level, can only access the detailed information of the specific projects they are responsible for, and conduct daily management and execution.

[0026] Obtain the information data of the construction site of each engineering project from the project management platform. These data include but are not limited to: Engineering material consumption: material procurement cost, material usage, material inventory, etc.

[0027] Labor distribution: labor cost, actual working hours, planned working hours, labor utilization rate, etc.

[0028] Equipment operation status: equipment rental cost, actual equipment operation time, total available equipment time, equipment utilization rate, etc.

[0029] Other influencing data: project progress data, quality data, change request data, etc.

[0030] Perform time series analysis on the project progress data to identify the patterns and trends of schedule delays. For example, smooth the progress data through the moving average method or exponential smoothing method to detect the outliers and trend changes in the data. Determine the quality problems in the project based on the quality data. For example, evaluate the impact degree of the quality problems on the project progress through statistical analysis methods such as analysis of variance or correlation analysis. Determine the change frequency based on the change request data. For example, evaluate the impact of the changes on the project progress and cost by analyzing the number and types of change requests. Process the cost data and impact data to extract the cost growth characteristics, such as material usage rate, labor utilization rate, equipment utilization rate, etc. Use techniques such as principal component analysis to reduce the high-dimensional data to a lower dimension to obtain the principal component characteristics, reduce the complexity of the data, and retain the main variation information at the same time. Input the principal component characteristics into a preset unsupervised learning model (such as the K-means clustering algorithm or Gaussian mixture model GMM), train the model using the expectation maximization algorithm, identify the patterns and anomalies in the data, and discover potential cost growth factors. Generate a time plan adjustment plan and a cost plan adjustment plan based on the potential risk factors and potential cost growth factors of all engineering projects in the target project group. According to the access level of the target project group, send the generated time plan adjustment plan and cost plan adjustment plan to the target administrator through the automated notification system of the engineering project management platform. The notification methods can include email, text message, or in-platform message. The target administrator is responsible for communicating the adjustment plan to the relevant team members and ensuring the implementation of the plan. At the same time, establish a monitoring and evaluation mechanism, regularly track and evaluate the implementation of the adjustment plan, and make dynamic adjustments according to the actual progress and newly emerging risk factors to ensure that the project progresses as planned.

[0031] Optionally, the determining the potential risk factors and potential cost growth factors in the project progress according to the information data includes: Obtain cost data and impact data from the information data, where the cost data includes material procurement costs, labor costs, equipment rental costs, and subcontractor fees, and the impact data includes project progress data, quality data, and change request data; Process the cost data and the impact data to extract cost growth characteristics, where the cost growth characteristics include material usage rate, labor utilization rate, and equipment utilization rate; Reduce the dimension of the cost growth characteristics to obtain principal component characteristics, and input the principal component characteristics into a preset unsupervised learning model to obtain potential cost growth factors.

[0032] Material procurement costs: Record the procurement expenses of all materials in the project, including raw materials, components, etc. Labor costs: Record the expenses of all labor in the project, including workers' wages, benefits, overtime pay, etc. Equipment rental costs: Record the rental expenses of all equipment in the project, including construction equipment, tools, etc. Subcontractor fees: Record the fees of all subcontractors in the project, including the contract amount of subcontracting works, etc. Project schedule data: Record the start time, end time, duration, completion percentage, etc. of each task in the project. Quality data: Record the quality inspection results of each task in the project, including the number of defects, the number of reworks, etc. Change request data: Record the quantity, type, scope of impact, etc. of all change requests in the project. Material usage rate: Calculate the ratio of material procurement costs to the total project cost, reflecting the proportion of material costs in the total project cost. Labor utilization rate: Calculate the ratio of actual working hours to planned working hours, reflecting the utilization efficiency of labor. Equipment utilization rate: Calculate the ratio of actual operating time of equipment to the total available time of equipment, reflecting the utilization efficiency of equipment. Remove duplicate data, fill in missing values, correct incorrect data, etc. to ensure the quality and integrity of the data. Extract the above cost growth characteristics from the original data, which can more intuitively reflect the status and potential problems of the project. Use principal component analysis technology to reduce the high-dimensional feature data to a lower dimension, reduce the complexity of the data, and at the same time retain the main variation information. The principal component features after dimensionality reduction can be more effectively used for subsequent model training. Select the Gaussian mixture model as the unsupervised learning algorithm. The Gaussian mixture model assumes that the data is composed of multiple Gaussian distributions mixed together, and can better handle the complex distribution of the data. Expectation Maximization (EM) algorithm: Use the EM algorithm to train the Gaussian mixture model, estimate the parameters (mean, covariance, and mixing weights) of each Gaussian component, so as to perform soft clustering on the data. Input the principal component features after dimensionality reduction into the Gaussian mixture model. The model outputs the probability that each data point belongs to different Gaussian distributions. By analyzing these probabilities, identify the patterns and anomalies in the data and discover potential cost growth factors. Through the output of the Gaussian mixture model, identify the outliers and patterns in the data. For example, some data points may belong to a cluster with high cost growth. The projects corresponding to these data points may have abnormal cost growth at a specific stage. Analyze the characteristics of these outliers, such as too high material usage rate, low labor utilization rate, frequent equipment failures, etc., and identify potential cost growth factors. Compare the identified potential cost growth factors with the financial data to verify their accuracy. Incorporate these factors into the financial control system, set up a warning mechanism, and when detecting potential cost growth risks, notify the financial team and project managers in a timely manner and take corresponding measures for intervention.

[0033] By obtaining cost data and impact data from the information data at the construction site, including material procurement costs, labor costs, equipment rental costs, subcontractor fees, project schedule data, quality data, and change request data, etc., potential risk factors and potential cost growth factors in the project schedule can be comprehensively and accurately identified. This method is more objective and comprehensive compared to traditional subjective evaluations, can reduce the interference of human factors, and improve the accuracy of risk identification. Process the cost data and impact data, extract cost growth characteristics, such as material usage rate, labor utilization rate, and equipment utilization rate, and obtain the principal component characteristics through dimensionality reduction techniques. This process helps to remove noise and redundant information in the data, highlight key features, and make potential risk factors and cost growth factors more clearly presented, further improving the accuracy of risk assessment. Input the principal component characteristics into a preset unsupervised learning model, such as a Gaussian mixture model, which can automatically identify patterns and anomalies in the data and timely detect potential risk factors and cost growth factors. Unsupervised learning models do not require pre-labeled data and can analyze and give early warnings to new data in real time, enabling the project team to take measures in advance to avoid the occurrence of risks or mitigate their impacts. Based on the real-time monitoring function of the unsupervised learning model, the project team can track data on project schedule, cost, quality, and risks in real time, timely discover potential problems, and dynamically adjust the project plan and resource allocation according to the actual situation. This real-time monitoring and early warning mechanism makes project management more proactive and efficient and can effectively reduce project risks. By predicting the historical data and current trends of potential cost growth factors, the trend of cost changes can be estimated in advance, and the cost plan can be adjusted in a timely manner. For example, if it is predicted that the material price will increase, the price can be locked in advance by negotiating with the supplier, or alternative materials can be found; if there is a trend of increasing labor costs, the work process can be optimized to improve labor productivity, or overtime and outsourcing can be reasonably arranged, so as to effectively control cost growth and ensure that the total project cost is controlled within the budget. Calculate the growth rate and growth ratio of the total project cost, and obtain the impact factor by weighted summation of the growth rate and growth ratio. The project team can conduct a cost-benefit analysis of different cost control measures and select the optimal solution for implementation. This helps to minimize costs and improve the economic benefits of the project on the premise of ensuring project quality.

[0034] Optionally, the determining of potential risk factors and potential cost growth factors in the project schedule according to the information data includes: Performing time series analysis on the project schedule data to identify schedule delay patterns; Determining quality problems according to the quality data and determining the change frequency according to the change request data; Input the cost growth characteristics, the schedule delay pattern, the quality issues, and the change frequency into a preset project schedule risk prediction model to obtain potential risk factors.

[0035] Collect project schedule data from the project management platform or records at the construction site. This data includes the planned start time, planned end time, actual start time, actual end time, and the amount of work completed for each task. Use time series analysis methods such as the moving average method, exponential smoothing method, or ARIMA model to analyze the project schedule data. These methods can help identify trends, seasonality, and cyclic changes in the project schedule, thereby discovering potential schedule delay patterns. Through time series analysis, it is possible to identify which tasks are frequently delayed, the average number of days of delay, the frequency of delay, etc. For example, if a certain task is delayed in multiple phases, this may indicate that there are systematic problems with this task and further analysis and solutions are required. Collect quality data in the project, including quality inspection reports, defect records, rework records, etc. This data can help identify quality issues in the project. Analyze the quality data to determine which quality issues occur frequently and which quality issues have a greater impact on the project schedule and cost. For example, if a certain quality issue leads to multiple reworks, this will seriously affect the project schedule and cost. Collect change request data in the project, including the number of change requests, the types of change requests, the processing time of change requests, etc. Analyze the change request data to determine the frequency and types of change requests. A high frequency of change requests may indicate unclear project requirements or poor project management, and it is necessary to further optimize the project management process. Extract cost growth characteristics from the project schedule data, quality data, and change request data, such as material usage rate, labor utilization rate, equipment utilization rate, etc. At the same time, extract characteristics such as schedule delay patterns, quality issues, and change frequency. Use a preset project schedule risk prediction model, such as a logistic regression model, decision tree model, or random forest model, and input the extracted characteristics into the model. Through model training, identify potential risk factors in the project schedule. The model can output the risk probability of each risk factor to help the project team prioritize high-risk factors. Analyze the potential risk factors output by the model to determine which factors have the greatest impact on the project schedule and cost. For example, if the schedule delay pattern and quality issues of a certain task occur simultaneously, this may indicate that there are major risks with this task and it needs to be prioritized for handling.

[0036] By performing time series analysis on the project progress data, it is possible to identify the patterns and trends of schedule delays. This method can reveal the schedule fluctuations of the project at different stages, helping the project team to detect in advance the key nodes that may lead to delays. Determining quality issues by combining quality data and determining the change frequency based on change request data further enriches the evaluation dimensions of project schedule risks. Quality issues may result in rework and delayed delivery, while frequent change requests may disrupt the original project plan, increasing project complexity and uncertainty. Considering these factors comprehensively enables the project team to understand more fully the potential risks faced by the project schedule, thus formulating more targeted risk response strategies. Inputting the cost growth characteristics, schedule delay patterns, quality issues, and change frequency into a preset project schedule risk prediction model can predict in advance the potential risk factors in the project schedule. This data-driven prediction model can utilize historical project data and current project data, through technical means such as machine learning algorithms, to mine the potential laws in the data and provide forward-looking intelligence for the project team. The project team can, based on the prediction results of the model, adjust the project plan and optimize resource allocation in advance, actively responding to potential risks instead of passively dealing with problems that have already occurred, thereby improving the controllability and success rate of the project. The above method supports the dynamic monitoring and real-time feedback of the project schedule. The project team can regularly update the project progress data, quality data, and change request data and re-run the risk prediction model to obtain the latest risk assessment results. This dynamic monitoring mechanism ensures that the project team can promptly capture any changes during the project progress, adjust management strategies in a timely manner, and maintain the smooth progress of the project. By analyzing the cost growth characteristics, such as material usage rate, labor utilization rate, and equipment utilization rate, the project team can more clearly understand the reasons and trends of cost changes. This helps to identify the key factors that may lead to cost overruns, such as material waste, labor idleness, or low equipment efficiency, and thus take corresponding measures for optimization. Combining the cost growth characteristics with project schedule risk factors such as schedule delay patterns, quality issues, and change frequency, the project team can more comprehensively consider the mutual influence between cost and schedule when formulating the project plan and budget.

[0037] Optionally, the generating of the time plan adjustment plan and the cost plan adjustment plan according to the potential risk factors and the potential cost growth factors of all engineering projects in the target project group includes: Determining the priority of the potential risk factors according to the severity and likelihood of occurrence of the potential risk factors; Determining the growth amplitude and growth ratio of the total project cost according to the potential cost growth factor, and determining the influence degree of the potential cost growth factor according to the growth amplitude and the growth ratio; Determine the order of generating adjustment plans according to the priority of the potential risk factors and the impact degree of the potential cost growth factor; Generate time planning adjustment plans and cost planning adjustment plans for all engineering projects in the target project group in sequence according to the order.

[0038] Evaluate the potential impact of each potential risk factor on the project schedule and quality. For example, the delay of a critical task may have a significant impact on the overall project delivery date, with a relatively high severity level. Assess the probability of occurrence of each potential risk factor. For example, the unstable material supply from a certain supplier results in a relatively high risk of material shortage, with a relatively high likelihood of occurrence. Assign a severity score and a likelihood score to each potential risk factor. The scoring criteria can be on a scale of 1 to 10, where 1 represents the lowest and 10 represents the highest. Calculate the risk priority index for each potential risk factor using the formula: Risk Priority Index = Severity Score × Likelihood Score. For example, if a potential risk factor has a severity score of 8 and a likelihood score of 6, then its risk priority index is 8 × 6 = 48. Rank all potential risk factors according to the risk priority index. The higher the priority index, the higher the priority. Based on the historical data and current trends of potential cost growth factors, predict their expected growth contributions to the total project cost. For example, the increase in material prices, labor costs, or low equipment efficiency may all lead to cost growth. If the material price is expected to increase by 10% and the material cost accounts for 30% of the total project cost, then the expected growth contribution is 30% × 10% = 3%. Sum up the expected growth contributions of all potential cost growth factors to obtain the growth magnitude of the total project cost. Calculate the growth ratio of the total project cost using the formula: Growth Ratio = Growth Magnitude / Initial Project Budget Cost. For example, if the initial project budget cost is 1 million yuan and the growth magnitude is 30,000 yuan, then the growth ratio is 3%. According to the growth ratio, classify the potential cost growth factors into three levels: high impact, medium impact, and low impact. Those with a growth ratio greater than or equal to 10% are of high impact, those with a growth ratio between 5% and 10% are of medium impact, and those with a growth ratio less than 5% are of low impact. Create a comprehensive evaluation matrix where the rows of the matrix correspond to potential risk factors and the columns correspond to potential cost growth factors. Assign a comprehensive score to each combination of potential risk factors and potential cost growth factors. The comprehensive score is based on the risk priority index and the cost growth ratio. Rank all combinations of potential risk factors and potential cost growth factors according to the comprehensive score to determine the order of generating adjustment plans. Prioritize the combinations with the highest comprehensive scores to ensure that the project team first addresses the issues with the greatest impact on the project. Re-evaluate the duration of the critical path based on potential risk factors. The critical path is the longest sequence of tasks in the remaining work of the engineering project. Analyze the tasks on the critical path, identify tasks that can be executed in parallel, and re-arrange the construction sequence to reduce the duration. Evaluate the utilization efficiency of existing resources, identify tasks with utilization efficiency below the threshold, and increase resource input to these tasks to reduce the duration. Develop specific action steps, schedules, and responsible persons for each critical task to ensure the project progresses as planned.Formulate specific cost control measures for high-impact potential cost growth factors, such as negotiating to reduce procurement costs, improving labor efficiency, optimizing equipment usage plans, etc. Determine the amount of the risk buffer fund based on the impact degree and occurrence probability of the potential cost growth factors to cope with possible additional costs in the future and ensure that the total project cost is controlled within the budget. Regularly review and update the cost planning adjustment plan, and make dynamic adjustments according to the actual situation to ensure that the cost is controlled within the budget.

[0039] By evaluating the severity and occurrence probability of potential risk factors to determine the priority of each risk factor, the project team can more clearly identify which risks need to be prioritized and addressed. This method makes risk management more scientific and systematic, avoiding the uncertainty of making decisions based solely on experience or intuition. Determining the growth range and growth ratio of the potential cost growth factor on the total project cost, as well as its impact degree, enables the project team to quantify the specific impact of the risk on the project cost. This quantitative analysis helps to more accurately assess the potential impact of the risk, thus formulating more targeted countermeasures. Determine the order of generating adjustment plans according to the priority of potential risk factors and the impact degree of potential cost growth factors to ensure that the project team can handle each risk factor in turn according to importance and urgency. This orderly method of generating plans improves the efficiency and effectiveness of project adjustment, avoiding waste of resources and duplicate work. Generate time planning adjustment plans and cost planning adjustment plans for all engineering projects in the target project group in turn, enabling coordinated time and cost management. The project team can consider both schedule and cost factors simultaneously, formulate a comprehensive adjustment plan that meets the time requirements and is within the budget, improving the overall coordination and consistency of project management. By identifying and evaluating potential risk factors in advance, the project team can formulate countermeasures in advance instead of rushing to respond after the risk occurs. This proactive risk management method helps to reduce the risks of project delays and cost overruns, and improve the success rate and delivery quality of the project.

[0040] Optionally, determining the priority of the potential risk factors according to the severity and occurrence probability of the potential risk factors includes: Assign a severity score and an occurrence probability score to each potential risk factor, where both the severity score and the occurrence probability score are based on a preset scoring standard; Calculate the risk priority index of each potential risk factor according to the severity score and the occurrence probability score; Sort all potential risk factors according to the risk priority index to determine the priority of each potential risk factor.

[0041] Evaluate the impact of each potential risk factor on project objectives (such as schedule, cost, quality, etc.) if it occurs. Usually, the following criteria can be used for scoring: High severity: After this risk occurs, it will have a significant impact on the key objectives of the project, and may lead to the project being unable to continue or causing significant economic losses. The scoring range can be set from 9 to 10 points.

[0042] Medium severity: After this risk occurs, it will have a certain impact on some objectives of the project, but will not cause significant losses to the entire project. The scoring range can be set from 5 to 8 points.

[0043] Low severity: After this risk occurs, the impact on the project is small and can be ignored. The scoring range can be set from 1 to 4 points.

[0044] Evaluate the probability of each potential risk factor occurring. Usually, the following criteria can be used for scoring: High probability: This risk is almost certain to occur and cannot be avoided or reduced. The scoring range can be set from 9 to 10 points.

[0045] Medium probability: This risk has a certain possibility of occurring and corresponding preventive measures need to be taken. The scoring range can be set from 5 to 8 points.

[0046] Low probability: The possibility of this risk occurring is small and can be ignored. The scoring range can be set from 1 to 4 points.

[0047] Risk Priority Number (RPN): Calculate the Risk Priority Number (RPN) of each potential risk factor by multiplying the severity score (S) and the likelihood score (O). The calculation formula is: RPN = S × O. For example, if the severity score of a certain risk factor is 7 and the likelihood score is 3, then its RPN is: RPN = 7 × 3 = 21. The larger the RPN value, the higher the priority of this risk factor, and it needs to be given priority attention and treatment. Sort all potential risk factors in descending order of RPN value. The risk factor with the highest RPN value has the highest priority and needs to be dealt with first; the risk factor with the lowest RPN value has the lowest priority and can be dealt with later. The specific steps are as follows: High priority: Risk factors with RPN values between 81 and 100 need to immediately take measures for management and control.

[0048] Medium priority: Risk factors with RPN values between 36 and 80 need to be continuously monitored during project execution and appropriate preventive measures should be taken.

[0049] Low priority: Risk factors with RPN values between 1 and 35 can be regularly inspected, but no immediate measures are required.

[0050] Assigning severity scores and likelihood scores to each potential risk factor according to preset scoring criteria ensures the objectivity and consistency of risk assessment. This standardized method avoids inconsistent assessment results caused by differences in subjective judgments of different assessors, and improves the reliability and comparability of risk assessment. For example, all project team members use the same set of scoring criteria to evaluate risks, which can ensure the comparability of risk assessment results between different projects and facilitate unified management and coordination at the project portfolio level. Transforming the severity and likelihood of risk factors into specific score values realizes the quantification of risk assessment. This quantification method makes the magnitude and urgency of risks more intuitive and clear, facilitating understanding and communication among project teams. Compared with traditional qualitative descriptions, quantified scores can more accurately reflect the relative importance of risks, helping project teams quickly identify key risks among numerous risk factors. Sorting all potential risk factors according to the risk priority index, the project team can clarify which risks need to be addressed first. This method helps optimize resource allocation, ensuring that limited resources (such as time, funds, manpower) are preferentially invested in risk factors that have the greatest impact on the project. For example, for the risk factor with the highest priority, more resources can be allocated for monitoring and response, while for the risk factor with a lower priority, relatively simple measures can be taken or it can be shelved temporarily. After determining the priority of each potential risk factor, the project team can formulate more targeted risk management strategies. For high-priority risk factors, detailed response plans can be developed, including preventive measures and contingency measures; for medium-priority risk factors, regular monitoring and evaluation can be carried out to take timely measures when risks occur; for low-priority risk factors, relatively loose management strategies can be adopted to reduce unnecessary workload. Based on the results of quantified scoring and priority ranking, project decision-makers can formulate project plans and adjustment plans more scientifically. This data-driven decision-making method reduces the interference of subjective factors and improves the accuracy and reliability of decision-making. The project team can regularly re-evaluate the severity and likelihood of potential risk factors according to project progress and newly emerging information, update the risk priority index and priority ranking. This dynamic adjustment mechanism ensures that the project team can promptly respond to changes in the project environment, continuously optimize risk management strategies, and improve the overall management level of the project.

[0051] Optionally, the determining the increase range and increase ratio of the total project cost according to the potential cost growth factor, and determining the influence degree of the potential cost growth factor according to the increase range and the increase ratio includes: Predicting the expected growth contribution of the potential cost growth factor to the total project cost based on the historical data and current trend of the potential cost growth factor; Determine the increase range of the total project cost based on the expected growth contribution, and determine the growth ratio of the total project cost according to the ratio of the increase range to the initial budget cost; Perform a weighted sum of the increase range and the growth ratio to obtain an impact factor, and determine the degree of influence of the potential cost growth factor based on the impact factor.

[0052] Collect historical data of each potential cost growth factor, such as historical price fluctuations of material procurement costs, historical changes in labor costs, historical usage of equipment rental costs, etc. This data can be from past project records, market reports, or industry databases. Analyze factors such as current market trends, economic environment, and policy changes to predict future cost change trends. For example, if the current market material price is continuously rising, it can be predicted that future material procurement costs will continue to increase. Use statistical analysis or machine learning models (such as linear regression, time series analysis, neural networks, etc.) to predict the expected growth contribution of each potential cost growth factor to the total project cost based on historical data and current trends. For example, if the material price has increased by 10% in the past year and the current market trend indicates that this upward trend will continue, it can be predicted that future material procurement costs will increase by a certain proportion. Specific calculation: Assume that the expected growth contribution of a certain potential cost growth factor (such as material procurement cost) is 100,000 yuan, which means that during the remaining period of the project, this factor is expected to increase the total project cost by 100,000 yuan. Add up the expected growth contributions of all potential cost growth factors to obtain the increase range of the total project cost. For example, if the expected growth contributions of three potential cost growth factors are 100,000 yuan, 50,000 yuan, and 30,000 yuan respectively, then the increase range of the total project cost is 180,000 yuan. Determine the ratio of the increase range to the initial project budget cost as the growth ratio of the total project cost. For example, if the initial project budget cost is 1 million yuan and the increase range is 180,000 yuan, then the growth ratio is 18%. According to project management and cost control experience, assign weights to the increase range and the growth ratio. For example, it can be considered that the weight of the increase range is 0.6 and the weight of the growth ratio is 0.4, and these weights can be adjusted according to the characteristics and management requirements of the project. Perform a weighted sum of the increase range and the growth ratio to obtain an impact factor. For example, if the increase range is 180,000 yuan, the growth ratio is 18%, and the weights are 0.6 and 0.4 respectively, then the impact factor is: Impact factor = (18×0.6) + (18×0.4) = 18. Based on the size of the impact factor, divide the potential cost growth factors into three levels: high impact, medium impact, and low impact. For example, a high impact threshold can be set at 20, a medium impact threshold at 10, and the specific thresholds can be set according to the project's historical data and industry standards. Impact factors greater than or equal to 20 are high impact factors, impact factors greater than or equal to 10 and less than 20 are medium impact factors, and impact factors less than 10 are low impact factors.

[0053] By calculating the expected growth contribution, growth rate, and growth proportion, the impact of potential cost growth factors is quantified, enabling the project team to more intuitively understand the specific impact of each factor on the total project cost. Based on the impact factors, the degree of influence of potential cost growth factors is determined. The project team can prioritize factors with high influence, formulate more targeted cost control measures, and optimize resource allocation. Regularly re-evaluate the expected growth contribution and impact factors of potential cost growth factors, and make dynamic adjustments according to project progress and market changes to ensure the timeliness and effectiveness of cost control strategies. Provide scientific data support for project decision-makers to help them formulate reasonable project budgets and cost control plans, and improve the economic efficiency and success rate of the project.

[0054] Optionally, the generation of the time plan adjustment plan and cost plan adjustment plan based on the potential risk factors and potential cost growth factors of all engineering projects in the target project group includes: Re-evaluate the duration of the critical path according to the potential risk factors, where the critical path is the longest task sequence in the remaining work of the engineering project; Analyze the tasks on the critical path, identify the first target tasks that can be executed in parallel, and rearrange the construction order of the critical path according to the first target tasks to reduce the duration; Evaluate the utilization efficiency of existing resources, identify the second target tasks with utilization efficiency lower than the threshold, and increase resource investment in the second target tasks to reduce the duration.

[0055] The critical path refers to the longest sequence of tasks from the start to the end of a project. Any delay in tasks on the critical path will cause a delay in the entire project. Tasks on the critical path are usually referred to as critical tasks. Re-evaluate the duration of the critical path based on potential risk factors. Potential risk factors may include delays in material supply, labor shortages, equipment failures, etc., all of which can affect the completion time of critical tasks. By re-evaluating, the project completion time can be predicted more accurately, and risk points that may cause delays can be identified in advance. Analyze the tasks on the critical path to identify the first target tasks that can be executed in parallel. Parallel tasks refer to tasks that can be carried out simultaneously within the same time period. By reasonably arranging the execution order of these tasks, the total duration of the critical path can be shortened. Assume that there are tasks A, B, and C on the critical path, and tasks B and C can be executed in parallel. By adjusting the start times of tasks B and C to synchronize with the end time of task A, the total duration of the critical path can be reduced. Rearrange the construction order of the critical path according to the identified parallel tasks. This adjustment can optimize the task dependencies, reduce waiting time and idle time, and improve the overall construction efficiency. Project management software or Gantt Chart can be used to visualize and adjust the task order to ensure that the adjusted plan is clear and feasible. The resource utilization efficiency refers to the efficiency of resource (such as labor, equipment, materials) utilization in a project. Inefficient resource utilization may lead to task delays and cost increases. Evaluate the utilization efficiency of existing resources by analyzing data such as task completion, resource usage time, and idle time. Resource utilization rate indicators (such as equipment utilization rate = actual running time / total available time) can be used to quantify the resource utilization efficiency. Identify the second target tasks with utilization efficiency lower than the threshold. The threshold can be set according to the project's historical data and industry standards. For example, if the equipment utilization rate is lower than 80%, it is considered that the utilization efficiency of the equipment is low. Assume that in a certain project, the utilization rate of equipment D is only 60%, which is lower than the set threshold of 80%, indicating that the utilization efficiency of equipment D is low. Increase resource input for the second target tasks with utilization efficiency lower than the threshold to reduce the task duration. Increasing resources can include increasing labor, extending working hours, increasing the number of equipment, etc. For equipment D, the utilization efficiency of the equipment can be improved and the task duration can be reduced by adding an identical model equipment or extending the running time of the equipment, thereby shortening the total duration of the critical path.

[0056] This embodiment also discloses a management system for a project. Figure 2 It is a schematic diagram of the modules of the management system for a project disclosed in the embodiments of the present application, as Figure 2 shown. The system includes an induction module 201, an analysis module 202, an adjustment module 203, and a display module 204, where: The induction module 201 is configured to group engineering projects of the same nature together to form multiple project groups, and set access levels for each project group; The analysis module 202 is configured to obtain information data on the construction sites of each engineering project. The information data includes engineering material consumption, labor distribution, and equipment operation status, and determine potential risk factors and potential cost growth factors in the project progress based on the information data; The adjustment module 203 is configured to generate a time plan adjustment plan and a cost plan adjustment plan based on the potential risk factors and potential cost growth factors of all engineering projects in the target project group; The display module 204 is configured to send the time plan adjustment plan and the cost plan adjustment plan to the target administrator according to the access level of the target project group.

[0057] Optionally, the analysis module 202 is configured to: Obtain cost data and impact data from the information data. The cost data includes material procurement costs, labor costs, equipment rental costs, and subcontractor fees. The impact data includes project progress data, quality data, and change request data; Process the cost data and the impact data to extract cost growth characteristics. The cost growth characteristics include material usage rate, labor utilization rate, and equipment usage rate; Perform dimensionality reduction on the cost growth characteristics to obtain principal component characteristics, and input the principal component characteristics into a preset unsupervised learning model to obtain potential cost growth factors.

[0058] Optionally, the analysis module 202 is configured to: Perform time series analysis on the project progress data to identify progress delay patterns; Determine quality problems based on the quality data, and determine the change frequency based on the change request data; Input the cost growth characteristics, the progress delay patterns, the quality problems, and the change frequency into a preset project progress risk prediction model to obtain potential risk factors.

[0059] Optionally, the adjustment module 203 is configured to: Determine the priority of the potential risk factors according to the severity and likelihood of occurrence of the potential risk factors; Determine the growth range and growth ratio of the total project cost based on the potential cost growth factors, and determine the impact degree of the potential cost growth factors according to the growth range and the growth ratio; Determine the order of generating the adjustment plan according to the priority of the potential risk factors and the influence degree of the potential cost growth factor; Generate the time planning adjustment plan and cost planning adjustment plan for all engineering projects in the target project group in sequence according to the order.

[0060] Optionally, the adjustment module 203 is configured to: Assign a severity score and a likelihood score to each potential risk factor, and both the severity score and the likelihood score are based on a preset scoring standard; Calculate the risk priority index of each potential risk factor according to the severity score and the likelihood score; Sort all potential risk factors according to the risk priority index to determine the priority of each potential risk factor.

[0061] Optionally, the adjustment module 203 is configured to: Predict the expected growth contribution of the potential cost growth factor to the total project cost according to the historical data and current trend of the potential cost growth factor; Determine the growth range of the total project cost according to the expected growth contribution, and determine the growth ratio of the total project cost according to the ratio of the growth range to the initial budget cost; Perform weighted summation on the growth range and the growth ratio to obtain an influence factor, and determine the influence degree of the potential cost growth factor according to the influence factor.

[0062] Optionally, the adjustment module 203 is configured to: Re-evaluate the duration of the critical path according to the potential risk factors, where the critical path is the longest task sequence in the remaining work of the engineering project; Analyze the tasks on the critical path, identify the first target tasks that can be executed in parallel, and rearrange the construction order of the critical path according to the first target tasks to reduce the duration; Evaluate the utilization efficiency of existing resources, identify the second target tasks with utilization efficiency lower than the threshold, and increase resource investment in the second target tasks to reduce the duration.

[0063] It should be noted that: when the device provided in the above embodiment realizes its functions, only the above-mentioned division of each functional module is used for illustration. In actual application, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process can be seen in the method embodiment, which will not be elaborated here.

[0064] This embodiment also discloses an electronic device. Referring to Figure 3 , the electronic device may include: at least one processor 301, at least one communication bus 302, a user interface 303, a network interface 304, and at least one memory 305.

[0065] Among them, the communication bus 302 is used to realize the connection and communication between these components.

[0066] Among them, the user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may further include a standard wired interface and a wireless interface.

[0067] Among them, the network interface 304 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0068] Among them, the processor 301 may include one or more processing cores. The processor 301 connects various parts within the entire server through various interfaces and lines, and by running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, as well as calling data stored in the memory 305, it executes various functions of the server and processes data. Optionally, the processor 301 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 301 may integrate one or several combinations of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communication. It can be understood that the above modem may not be integrated into the processor 301 and may be implemented separately through a single chip.

[0069] Among them, the memory 305 may include a Random Access Memory (RAM), or may also include a Read-Only Memory. Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area may store data involved in the above-mentioned method embodiments. Optionally, the memory 305 may also be at least one storage device located far from the aforementioned processor 301. As Figure 3 shown, in the memory 305 as a computer storage medium, there may be included an operating system, a network communication module, a user interface module, and an application program for the project management method.

[0070] In Figure 3 the electronic device shown, the user interface 303 is mainly used to provide an input interface for the user to obtain user input data; while the processor 301 can be used to call the application program for the project management method stored in the memory 305. When executed by one or more processors 301, the electronic device is caused to execute the method as described in one or more of the above embodiments.

[0071] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0072] In the above embodiments, the descriptions of the respective embodiments have their own focuses. For parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0073] In several embodiments provided by the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some service interfaces. The indirect coupling or communication connection of the device or unit can be in electrical or other forms.

[0074] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0075] In addition, each functional unit in various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0076] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory 305 and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in various embodiments of the present application. And the aforementioned memory 305 includes: various media such as USB flash drives, mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0077] The above are only exemplary embodiments of the present disclosure, and the scope of the present disclosure cannot be limited thereby. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. Those skilled in the art will easily think of other implementation schemes of the present disclosure after considering the disclosure of the specification. The present application aims to cover any variations, uses, or adaptive changes of the present disclosure. These variations, uses, or adaptive changes follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for managing an engineering project, characterized in that: Applied to an engineering project management platform, the method comprises: Group similar engineering projects together to form multiple project groups, and set access levels for each project group; Obtaining information data on the construction site of each engineering project, including engineering material consumption, labor allocation, and equipment operation status, and determining potential risk factors and potential cost growth factors in the project schedule based on the information data; Generate time planning adjustment plans and cost planning adjustment plans based on the potential risk factors and potential cost growth factors of all engineering projects in the target project group; The time plan adjustment plan and the cost plan adjustment plan are sent to a target administrator according to the access level of the target project group.

2. The project management method according to claim 1, characterized in that: Determining the potential risk factors and potential cost growth factors in the project schedule according to the information data includes: Obtaining cost data and impact data from the information data, wherein the cost data includes material purchase cost, labor cost, equipment rental cost and subcontractor fee, and the impact data includes project schedule data, quality data and change request data; Processing the cost data and the impact data to extract cost growth characteristics, wherein the cost growth characteristics include material utilization rate, labor utilization rate and equipment utilization rate; The cost growth feature is dimensionally reduced to obtain a principal component feature, and the principal component feature is input into a preset unsupervised learning model to obtain a potential cost growth factor.

3. The project management method according to claim 2, characterized in that: Determining the potential risk factors and potential cost growth factors in the project schedule according to the information data includes: performing time series analysis on said project schedule data to identify schedule delay patterns; determining quality issues based on the quality data, and determining a change frequency based on the change request data; The cost growth characteristics, the schedule delay pattern, the quality issues and the change frequency are input into a preset project schedule risk prediction model to obtain potential risk factors.

4. The project management method according to claim 1, characterized in that: The generating of the time planning adjustment plan and the cost planning adjustment plan according to the potential risk factors and the potential cost growth factors of all engineering projects in the target project group includes: Determine the priority of the potential risk factors according to their severity and likelihood of occurrence; Determine the growth range and growth ratio of the total project cost according to the potential cost growth factor, and determine the impact of the potential cost growth factor according to the growth range and growth ratio; Determine the order of generating adjustment plans according to the priority of the potential risk factors and the impact of the potential cost growth factors; The time planning adjustment plan and the cost planning adjustment plan for all engineering projects in the target project group are generated in sequence according to the sequence.

5. The project management method according to claim 4, characterized in that: Determining the priority of the potential risk factors according to the severity and likelihood of occurrence of the potential risk factors includes: Assigning a severity score and an occurrence likelihood score to each potential risk factor, wherein the severity score and the occurrence likelihood score are both based on a preset scoring criteria; Calculate a risk priority index for each potential risk factor according to the severity score and the occurrence likelihood score; All potential risk factors are sorted according to the risk priority index to determine the priority of each potential risk factor.

6. The project management method according to claim 4, characterized in that: Determining the growth range and growth ratio of the total project cost according to the potential cost growth factor, and determining the impact of the potential cost growth factor according to the growth range and growth ratio includes: Predicting the expected growth contribution of the potential cost growth factor to the total project cost based on the historical data and current trends of the potential cost growth factor; Determine the growth rate of the total project cost based on the expected growth contribution, and determine the growth ratio of the total project cost based on the ratio of the growth rate to the initial budget cost; The growth amplitude and the growth ratio are weightedly summed to obtain an impact factor, and the impact degree of the potential cost growth factor is determined according to the impact factor.

7. The project management method according to claim 4, characterized in that: The generating of the time planning adjustment plan and the cost planning adjustment plan according to the potential risk factors and the potential cost growth factors of all engineering projects in the target project group includes: Re-evaluate the duration of the critical path based on the potential risk factors, the critical path being the longest sequence of tasks remaining in the project; Analyze the tasks on the critical path, identify the first target tasks that can be executed in parallel, and rearrange the construction sequence of the critical path according to the first target tasks to reduce the duration; The utilization efficiency of existing resources is evaluated, a second target task whose utilization efficiency is lower than a threshold is identified, and resource input to the second target task is increased to reduce the duration.

8. A management system for an engineering project, characterized in that: It includes the summarization module, analysis module, adjustment module and display module, among which: The induction module is configured to group engineering projects of the same nature together to form multiple project groups, and set an access level for each project group; An analysis module configured to obtain information data of the construction site of each engineering project, the information data including engineering material consumption, labor allocation and equipment operation status, and determine potential risk factors and potential cost growth factors in the project schedule based on the information data; An adjustment module configured to generate a time plan adjustment plan and a cost plan adjustment plan based on potential risk factors and potential cost growth factors of all engineering projects in the target project group; A presentation module is configured to send the time plan adjustment plan and the cost plan adjustment plan to a target administrator according to the access level of the target project group.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is executed.

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