Analysis method for engineering project management

Abstract

The invention relates to the technical field of data processing, in particular to an analysis method for engineering project management, which comprises the following steps: collecting budget data, contract settlement data in an investment analysis period and plan data of engineering construction investment, and cleaning the data; dynamically managing the design work amount in the construction drawing design stage; establishing a data articulation relationship among the design budget data, the execution budget data and a contract; determining a project amount completion image and a contract static unit price of each project in the contract; respectively determining a cost deviation, a progress deviation, a cost performance index and a progress performance index to determine deviation evaluation parameters; and according to the deviation evaluation parameters, sorting the items causing the unfavorable deviation and the items causing the favorable deviation from large to small according to the influence absolute values, and carrying out early warning management on the items of which the accumulated deviation accounts for a preset proportion of the total deviation. According to the method, the statistics and analysis of the design budget investment completion condition can be realized under the unified static price level statistics caliber.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, in particular to an analysis method for engineering project management. BACKGROUND

[0002] The existing engineering construction investment deviation analysis method is mainly earned value method, also known as earned value method. Earned value method originated in the United States, and analyzes project cost deviation and schedule deviation through three basic parameters of completed work budget cost BCWP, completed work actual cost ACWP and planned work budget cost BCWS.

[0003] Earned value method originated in the United States, and there are the following defects in applying earned value method to analyze deviation in the investment management practice of engineering construction projects (especially projects with long construction period, large investment scale and more engineering changes) in China: (1) The core parameter of earned value method is completed work budget cost (BCWP), also known as earned value, which is the investment control target in deviation analysis. This parameter is calculated based on the actual completed engineering quantity, without considering that the design engineering quantity change may cause the investment control target to exceed the approved budget estimate. Combined with the engineering construction management practice in China, engineering quantity change is inevitable, and the longer the construction period and the larger the investment scale, the more engineering quantity change will be. It is unscientific, inaccurate to take completed work budget cost (BCWP) as the stage investment control target, and it is difficult to reveal the investment risk in the construction process in time, and even may cause the investment control target of the completed project to exceed the approved budget estimate.

[0004] (2) Another key parameter for calculating cost deviation in earned value method is actual cost of completed work (ACWP), which is calculated based on actual unit price. For long construction period projects, price fluctuations, policy adjustments and other uncertain factors have a great impact on unit price, and it is difficult to distinguish the specific reasons for investment deviation by calculating cost deviation in this way, which is not conducive to investment control of construction management units.

[0005] (3) Earned value method has a large amount of calculation in engineering construction investment deviation analysis application, and manual calculation is tedious and prone to error, lacking simple and easy-to-use information tools. SUMMARY

[0006] Therefore, the present application provides an analysis method for engineering project management to overcome the problem that the existing theoretical method in the prior art is not applicable to engineering construction projects with long construction period, large investment scale and more engineering changes, create a universal analysis method for large and medium-sized engineering construction investment management in China, scientifically and reasonably determine the investment control target in the construction process, and construct a deviation analysis model that is conducive to explaining the reasons for investment changes and develop a simple and easy-to-use method.

[0007] To achieve the above object, the application provides an analysis method for project management, comprising: Step S1, collecting budget data, contract settlement data in the investment analysis period and plan data of the project construction investment, wherein the budget data comprises design budget data and execution budget data; Step S2, identifying valid budget data and valid contract settlement data, and prompting invalid budget data, invalid contract settlement data, missing budget data and missing contract settlement data; Step S3, dynamically managing the design engineering quantity in the construction drawing design stage; Step S4, coding the contract settlement data and the budget data to establish the data cross-checking relationship of the design budget data, the execution budget data and the contract; Step S5, determining the engineering quantity completion image of each item in the contract according to the contract settlement data and the plan data; Step S6, determining the contract static unit price according to the contract settlement data and the budget data; Step S7, respectively determining the cost deviation, the progress deviation, the cost performance index and the progress performance index according to the engineering quantity completion image, the budget data, the contract settlement data, the contract static unit price and the plan data to determine the deviation evaluation parameters; Step S8, according to the deviation evaluation parameters, sorting the items causing adverse deviation and the items causing favorable deviation according to their influence absolute values from large to small, and performing early warning management on the items whose cumulative deviation accounts for a preset proportion of the total deviation.

[0008] Further, the step S3 comprises, Step S31, determining the plan data according to the database design requirements and dynamically managing the plan data; Step S32, determining the change engineering quantity or the expected total control quantity according to the database design requirements.

[0009] Further, in the step S5, the engineering quantity completion image of each item in the contract is determined according to the completed engineering quantity in the contract settlement data and the contracted engineering quantity and the change engineering quantity in the plan data.

[0010] Further, the step S7 comprises, Step S71, determining the execution budget image completion investment according to the engineering quantity completion image and the budget data; Step S72, determining the actual completion static investment according to the contract settlement data and the contract static unit price; Step S73, determining the execution plan completion investment according to the plan data and the budget data; Step S74, determining the cost deviation, the schedule deviation, the cost performance index and the schedule performance index according to the budgeted image completed investment, the actual completed static investment and the budgeted plan completed investment respectively; Step S75, determining the deviation evaluation parameter according to the cost deviation and the schedule deviation to determine the investment progress trend of the whole project; Wherein, the cost deviation is the difference between the budgeted image completed investment and the actual completed static investment, the schedule deviation is the difference between the budgeted image completed investment and the budgeted plan completed investment, the cost performance index is the ratio between the budgeted image completed investment and the actual completed static investment, and the schedule performance index is the ratio between the budgeted image completed investment and the budgeted plan completed investment.

[0011] Further, in the step S71, the budgeted image completed investment is determined according to the image completed quantity and the budgeted investment.

[0012] Further, in the step S72, the actual completed static investment is determined according to the completed quantity and the contract static unit price.

[0013] Further, in the step S73, the budgeted plan completed investment is determined according to the plan completed quantity of the plan data and the budgeted unit price.

[0014] Further, in the step S75, the deviation evaluation parameter is determined according to the cost deviation and the schedule deviation to determine the investment progress trend of the whole project, wherein, If the deviation evaluation parameter is in the preset deviation parameter range, it is determined that the investment progress trend of the project is normal investment progress. If the cost evaluation parameter is not in the preset deviation parameter range, it is determined that the investment progress trend of the project is abnormal investment progress.

[0015] Further, in the step S75, the deviation evaluation parameter is determined according to the cost deviation and the schedule deviation and the respective corresponding cost weight and schedule weight. Wherein, the cost weight and the schedule weight are determined according to the cost performance index and the schedule performance index.

[0016] Further, in the step S8, the preset proportion is determined according to the cost performance index and the schedule performance index; Wherein, the cost performance index and the preset proportion are in a positive correlation relationship, and the schedule performance index and the preset proportion are in a positive correlation relationship.

[0017] Compared with the prior art, the beneficial effect of the present invention is that it uses the engineering execution budget as an intermediate bridge between the design budget investment management and the contract settlement management, so that the actual completed output value of contracts signed in different years can be easily converted into static investment at the same price level as the design budget, thereby enabling the statistics and analysis of the completion of the design budget investment under a unified static price level statistical caliber.

[0018] Furthermore, static and dynamic investments are separated, with a focus on controlling and analyzing static investments. Investment changes caused by uncertainties such as price, interest rate, and exchange rate fluctuations fall under the scope of dynamic investment management and are analyzed in annual price difference calculations, interest rate calculations, and exchange rate impact calculations. This helps clarify the management boundaries and responsibilities of investors, construction management units, and project companies, and facilitates the setting and management of investment management performance targets.

[0019] Furthermore, by adopting the innovative concept of project completion image, it is possible to dynamically and reasonably determine the stage investment control targets at each point in time in the project investment analysis. Through the innovative and adaptive deviation analysis model, it is possible to grasp the deviation between the estimated investment and the schedule in a timely manner during the project construction process, and take appropriate corrective measures, which is conducive to timely detection and response to investment risks.

[0020] Furthermore, by adopting a data coding system based on qualitative codes, quantitative codes, and positional codes, design budget documents, contract settlement documents, and execution budget documents can be organically combined, and this system can be universally adapted to many engineering and construction industries, thereby simplifying data statistics work, improving data processing efficiency, and laying the foundation for information-based computing.

[0021] Furthermore, based on the engineering investment statistical analysis theory and method of this invention, intelligent calculation of investment return and deviation analysis can be realized through a visual interface, and projects with significant adverse deviation impacts can be listed to prompt investment managers to pay attention in a timely manner and take countermeasures, thereby realizing the transformation from ex-post management to in-process management of engineering construction investment. Attached Figure Description

[0022] Figure 1 This is a flowchart illustrating the steps of an analysis method for engineering project management according to an embodiment of the present invention; Figure 2 A flowchart illustrating the steps for determining the investment progress trend of the entire project in an embodiment of the present invention; Figure 3 This is a flowchart illustrating the investment progress trend of the entire project in an embodiment of the present invention. Detailed Implementation

[0023] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0024] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0025] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0026] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0027] For ease of understanding, the technical terms for design budget and execution budget are explained as follows: 1. Design Budget: This is a crucial document prepared during the feasibility study phase based on industry budget preparation regulations and the feasibility study report, in accordance with relevant quotas and cost standards. It serves as the basis for evaluating the technical and economic rationality of the design scheme, selecting the optimal design, and conducting national economic and financial evaluations of the project. It is also the basis for government departments to determine and control the scale of fixed asset investment or approve construction projects; for project owners to raise construction funds, sign loan contracts, and control and manage project costs; for relevant government departments to conduct inspections and audits of construction projects; for reasonably calculating and determining the project's on-grid electricity price; and for comparison in project final accounts and post-investment evaluations. 2. Execution Budget: This is a cost management document prepared based on the static investment of the design budget, according to the annual price level of the design budget, the project division in the bidding design, the workload, and the labor, machinery efficiency, and material consumption in the contract. It also takes into account the actual situation of project bidding and construction management, and reasonably reserves investment control space. The execution budget further refines, decomposes, and reorganizes the static investment management objectives of the design budget, establishing an organic link between the design budget and the contract.

[0028] Please see Figure 1 The diagram illustrates the steps of an analysis method for engineering project management according to an embodiment of the present invention. This embodiment of the present invention provides an analysis method for engineering project management, comprising: Step S1, collect source data: collect preliminary budget data, contract settlement data during the investment analysis period, and planned data for engineering construction investment. The preliminary budget data includes design preliminary budget data and execution preliminary budget data. In implementation, for projects using information-based construction management, using the source data collection method via data interface can significantly reduce workload and improve calculation efficiency and quality. In implementation, planned data is imported manually by the user or automatically by the computer. Planned data includes the planned amount of work to be completed. Step S2, Source Data Cleaning: Identify valid budget data and valid contract settlement data, and prompt invalid budget data, invalid contract settlement data, missing budget data, and missing contract settlement data; In practice, contract settlement data includes contract name, settlement date, project name, completed work quantity, unit, unit price, settlement quantity, and settlement amount; Step S3, Design Control Quantity Management: Dynamically manage the design quantities during the construction drawing design phase; Step S4, Data Encoding: Encode the contract settlement data and the budget data to establish the data reconciliation relationship between the design budget data, the execution budget data and the contract; it can be understood that the data reconciliation relationship refers to the mutual correlation and mutual verification relationship between related numbers or indicators in different datasets. By comparing and verifying these numbers or indicators, the accuracy of the data can be verified and potential errors or inconsistencies can be found. Step S5, Calculation of the completed work quantity: Based on the contract settlement data and the plan data, the completed work quantity of each item in the contract is determined item by item according to the calculation formula of the completed work quantity through the data reconciliation relationship established in step S4. Step S6, Contract Static Unit Price Conversion: The contract static unit price is automatically determined based on the contract settlement data and the estimated data; in practice, this method has a preset algorithm for the contract static unit price, and the contract static unit price is automatically generated; Step S7, determine the deviation analysis parameters: Based on the completed project quantity, the estimated data, the contract settlement data, the contract static unit price, and the planned data, determine the cost deviation (CV), schedule deviation (SV), cost performance index (CPI), and schedule performance index (SPI) to determine the deviation evaluation parameters; Step S8, Investment Deviation Evaluation, Early Warning and Tracking Management: Based on the deviation evaluation parameters, projects causing adverse deviations and projects causing favorable deviations are sorted from largest to smallest according to their absolute impact value. Projects with cumulative deviations accounting for a preset percentage of the total deviation amount are subject to early warning management, prompting managers to strengthen follow-up management and formulate and implement corrective measures. In implementation, adverse deviations are projects whose deviation evaluation parameters are not within the preset range of the deviation parameters, and projects whose deviation evaluation parameters are within the preset range of the deviation parameters but less than 0. Favorable deviations are projects whose deviation evaluation parameters are within the preset range of the deviation parameters and greater than or equal to 0.

[0029] Specifically, step S3 includes, Step S31: Determine the planned data according to the database design requirements and manage it dynamically; during implementation, the planned data is imported manually by the user or automatically by the computer. Step S32: Determine the variable quantities or estimated total control quantities (relative to the contracted quantities) according to the database design requirements, which can be automatically converted during implementation; it is understood that the variable quantities and / or estimated total control quantities are manually imported by the user or automatically imported by the computer.

[0030] In implementation, this method pre-sets database design requirements. Specifically, in step S5, the completion status of each item in the contract is determined based on the completed work volume in the contract settlement data and the contracted work volume and changed work volume in the planning data.

[0031] In practice, the formula for calculating the completed work volume is as follows: , Among them, PCQ represents the completed work quantity, EQ1 represents the completed work quantity, EQ0 represents the contracted work quantity, and EQ represents the variable work quantity.

[0032] It is understandable that the completed work volume refers to the proportion of the completed work volume to the total estimated work volume.

[0033] Please see Figure 2 and Figure 3 The figures shown are a step diagram and a flowchart of determining the investment progress trend of the entire project according to an embodiment of the present invention. Specifically, step S7 includes: Step S71: Based on the completed project image and the estimated data, determine the finalized project investment (SIPQ) through the data reconciliation relationship established by data coding; it can be understood that the finalized project investment is the static investment control target corresponding to the completed project image. Step S72: Based on the contract settlement data and the contract static unit price, determine the actual completed static investment (SIAQ) through the data reconciliation relationship established by data coding; it can be understood that the actual completed static investment is the static investment corresponding to the completed work volume; Step S73: Based on the planned data and the estimated data, determine the planned investment to be completed (SISQ) through the data reconciliation relationship established by data coding; it can be understood that the planned investment to be completed is the static control investment corresponding to the planned completed work volume; Step S74: Determine the cost deviation, schedule deviation, cost performance index, and schedule performance index based on the completed investment in the projected image, the actual completed static investment, and the completed investment in the projected plan, respectively. Step S75: Determine the deviation evaluation parameters based on the cost deviation and the schedule deviation to determine the investment schedule trend of the entire project; Wherein, the cost deviation is the difference between the investment completed in the planned image and the actual static investment completed; the schedule deviation is the difference between the investment completed in the planned image and the investment completed in the planned plan; the cost performance index is the ratio of the investment completed in the planned image to the actual static investment completed; and the schedule performance index is the ratio of the investment completed in the planned image to the investment completed in the planned plan.

[0034] In implementation, (1) Cost Variance CV = SIPQ of Completed Investment in the Project - SIAQ of Actual Completed Static Investment; (2) Schedule Variance SV = SIPQ of Completed Investment in the Project - SISQ of Completed Investment in the Project; (3) Cost Performance Index CPI = SIPQ of Completed Investment in the Project ÷ SIAQ of Actual Completed Static Investment; (4) Schedule Performance Index SPI = SIPQ of Completed Investment in the Project ÷ SISQ of Completed Investment in the Project.

[0035] Specifically, in step S71, the estimated investment for the completion of the project is determined based on the completed project quantity and the estimated investment for the project.

[0036] In implementation, the formula for calculating the investment completed by the project team is as follows: , Where SIPQ is the estimated investment for completion of the project, PCQi is the estimated investment for the i-th project in the bill of quantities, EEIi is the estimated investment for the i-th project in the bill of quantities, and n is the number of projects in the bill of quantities.

[0037] Specifically, in step S72, the actual completed static investment is determined based on the contract static unit price of the completed work volume.

[0038] In practice, the formula for calculating the actual completed static investment is as follows: , Where SIAQ represents the actual completed static investment, EQ1i represents the completed work volume of the i-th item in the bill of quantities, UPCi represents the static unit price of the i-th item in the bill of quantities, and n represents the number of items in the bill of quantities.

[0039] Specifically, in step S73, the investment to be completed in the execution plan is determined based on the planned amount of work to be completed and the estimated unit price.

[0040] In implementation, the formula for calculating the completed investment of the general plan is as follows: , Where SISQ is the planned investment to be completed, EQ2i is the planned completed work volume of the i-th item in the bill of quantities, UPEi is the estimated unit price of the i-th item in the bill of quantities, and n is the number of items in the bill of quantities.

[0041] Specifically, in step S75, deviation evaluation parameters are determined based on the cost deviation and the schedule deviation to determine the investment schedule trend of the entire project, wherein... If the deviation evaluation parameter is within the preset range of the deviation parameter, then the investment progress trend of the project is determined to be normal investment progress. If the cost evaluation parameter is not within the preset range of the deviation parameter, the investment progress trend of the project is determined to be an abnormal investment progress.

[0042] It is understandable that (1) when the cost deviation CV is greater than 0, it means that the static investment is lower than the control target, that is, the investment is saved; when the cost deviation CV is less than 0, it means that the static investment is higher than the control target, that is, the investment is over budget; if CV=0, it means that the static investment is the same as the control target; (2) when the schedule deviation SV is greater than 0, it means that the actual progress is faster than the planned progress, that is, the progress is ahead; when the schedule deviation SV is less than 0, it means that the actual progress is behind the planned progress, that is, the progress is lagging; when SV=0, it means that the actual progress is the same as the planned progress. However, during the construction period, due to various external factors, the temporary cost deviation and / or schedule deviation may not be zero. Therefore, the deviation parameter preset range should be set in the implementation: generally, the deviation parameter preset range ∈ [-0.2, 0.2]. The smaller the deviation parameter preset range, the more strict the judgment of the investment progress trend. However, if the deviation parameter preset range is too small, it will lead to the use of too much computing power when determining the investment progress trend, thus causing waste; therefore, preferably, the deviation parameter preset range ∈ [-0.15, 0.15].

[0043] In implementation, abnormal investment progress is divided into two types: (1) Abnormal investment progress when the cost evaluation parameter is greater than the maximum value of the preset range of the deviation parameter is that the actual expenditure is less and the progress is ahead of schedule. In this case, it is necessary to consider whether the progress measurement standard or method is scientific, or whether there is human misleading or concealment in the measurement process, resulting in inflated progress data; at the same time, the rapid progress of the project often makes it difficult to ensure that each construction link meets the standard requirements, thereby increasing the quality risks; (2) Abnormal investment progress when the cost evaluation parameter is less than the minimum value of the preset range of the deviation parameter is that the actual expenditure is more and the progress is very slow. In this case, it is necessary to consider whether the planning, organization and control of project activities by the project management team is reasonable, and whether there are problems such as improper use of resources, unreasonable task allocation, and low decision-making efficiency.

[0044] Specifically, in step S75, deviation evaluation parameters are determined based on the cost deviation and the schedule deviation, as well as their respective cost weights and schedule weights. The cost weight and the schedule weight are determined based on the cost performance index and the schedule performance index.

[0045] In implementation, the calculation formula for the deviation evaluation parameters is as follows: In the formula, A is the deviation evaluation parameter, CV is the cost deviation, SV is the schedule deviation, a is the cost weight, and b is the schedule weight. It can be understood that when calculating A, a and b are dimensional values ​​so that the calculated deviation evaluation parameter A is a dimensionless value. During implementation, both cost weight a and schedule weight b satisfy the following conditions: a+b=1 and Wherein, CPI is the cost performance index and SPI is the schedule performance index.

[0046] It is understandable that determining the weights of cost and schedule deviations based on the cost performance index and schedule performance index is consistent with the current actual progress of the project, and the weight values ​​change in real time as the project's costs and schedule change.

[0047] Specifically, in step S8, the preset ratio is determined based on the cost performance index and the schedule performance index; The cost performance index is positively correlated with the preset ratio, and the schedule performance index is positively correlated with the preset ratio.

[0048] Understandably, the cost performance index represents the gap between static investment and control targets, while the schedule performance index represents the gap between actual progress and planned progress. Therefore, the larger the cost performance index and schedule performance index, the greater the gap between the current investment progress and the planned investment progress. In this case, the investment progress trends of more projects should be in an abnormal state, so more projects should be subject to early warning management, and thus a larger preset ratio should be selected.

[0049] In implementation, the preset ratio is ∈ [60%, 95%]. The preset ratio is calculated as (|CPI-1|+|SPI-1|+1)×60%. The calculated preset ratio is rounded up. If the calculated preset ratio is greater than 95%, then 95% is used.

[0050] Example 1: Analysis method for engineering project management based on B / S architecture computer program.

[0051] Step P1: Users apply for and register an account through the "Account Management Module" to establish a data connection and access functions; Step P2: Use the "Settlement Management Module - Data Acquisition" function to collect contract settlement data for the investment analysis period: This function provides a data interface mode and a data import mode. The data interface mode refers to the prior completion of information integration with other settlement management systems, which can automatically obtain contract settlement data. The data import mode refers to the collection of contract settlement data through the data import tool based on the contract settlement data tables provided in the data collection template of this invention. In step P3, while data is being collected in P2, the system automatically triggers the "data cleaning" function to write data that meets the database requirements into the database, and to provide a prompt for data that does not meet the requirements or is missing. Step P4: Use the "Budget Management Module" to import the project design budget data and execution budget data into the system according to the database design requirements; Step P5: Use the "Investment Plan Module" to import project plan data into the system by year and month. Step P6: Use the “Design Control Quantity Module” to import the design quantities of the project construction drawing design stage into the system according to the data template requirements. This function provides two data modes. Users can choose to input the variable quantities (relative to the quantities in the signed contract) or the expected total control quantities. The system can automatically convert them. If the design quantities change in the future, users need to use this function for dynamic maintenance. Step P7: Use the "Code Management Module" to encode the contract settlement data, design budget data, and execution budget data for the investment analysis period, and establish the data reconciliation relationship between the design budget data, execution budget data, and contracts. The data coding system mainly includes qualitative codes, order codes, and location codes. Qualitative codes refer to the codes set to determine the engineering attributes of the last-level items in the bill of quantities, including cost attribute codes, classification engineering codes, and standard unit of measurement conversion codes. Order codes refer to the codes that express the relationships between items at different levels, including contract tree sequence codes, design budget level codes, and execution budget level codes. Location codes refer to the codes that determine the corresponding positions of a bill of quantities item in a cost document in the project, contract section, and another cost document, including design budget codes and execution budget codes. Step P8: Use the "Statistical Analysis Module" to perform data calculation, analysis, and deviation analysis evaluation. The statistical analysis calculation can be triggered manually or automatically by the system every day, usually automatically every day.

[0052] Step P9: Based on the contract settlement data and the plan data, and through the data relationship established by the data coding, calculate the completed work volume of each item in the entire contract list according to the calculation formula of the completed work volume. Step P10: Based on the contract settlement data and preliminary estimate data, the static unit price of the contract is automatically calculated through the data relationship established by data coding; Step P11: Based on the completed project data, preliminary estimate data, contract settlement data, contract static unit price, planned data, and preliminary estimate data, determine the deviation analysis parameters to identify the deviation evaluation parameters. These parameters include cost deviation (CV), schedule deviation (SV), cost performance index (CPI), and schedule performance index (SPI). (1) Based on the completed image and budget data of the project, determine the investment in the completed image (SIPQ) through the data reconciliation relationship established by data coding. (2) Based on the contract settlement data and the static unit price of the contract, the actual completed static investment (SIAQ) is determined through the data reconciliation relationship established by data coding; among them, the list of contracts with the attribute of "major construction and installation contracts" can find the items with the corresponding list unit price in the execution budget, and the actual completed static investment. For items where the corresponding unit price in the execution budget cannot be found (such as newly added, changed, or claimed items), the actual completed static investment is calculated by multiplying the cumulative settlement investment by the return-to-budget coefficient for the corresponding category of the contract. For items with the contract attribute of "non-major construction and installation contract", the actual completed static investment is calculated by multiplying the cumulative settlement investment by the return-to-budget coefficient for the corresponding comprehensive category of the project. After the investment conversion is completed, the investment is aggregated into the design budget list and the execution budget list using the data location code. (3) Based on the planned data and the estimated data, determine the planned investment (SISQ) by establishing data reconciliation relationship through data coding. (4) Plot a cost deviation curve with time on the horizontal axis and investment on the vertical axis; (5) Calculate the cost variance (CV), schedule variance (SV), cost performance index (CPI), and schedule performance index (SPI) respectively; (6) Calculate the deviation evaluation parameters based on the cost deviation and the schedule deviation to determine the investment schedule trend of the project; Step P12, cost deviation evaluation, early warning and tracking management: Based on the deviation evaluation parameters, sort the items that cause adverse deviations and the items that cause favorable deviations according to their absolute impact value from largest to smallest, and put the items with cumulative deviations accounting for 80% of the total deviations under early warning management, prompting managers to strengthen follow-up management and formulate and implement corrective measures.

[0053] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0054] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An analytical method for engineering project management, characterized in that, include: Step S1: Collect preliminary budget data, contract settlement data during the investment analysis period, and planned data for engineering construction investment. The preliminary budget data includes design preliminary budget data and execution preliminary budget data. Step S2: Identify valid budget data and valid contract settlement data, and prompt for invalid budget data, invalid contract settlement data, missing budget data, and missing contract settlement data; Step S3: Dynamically manage the design quantities during the construction drawing design phase; Step S4: Encode the contract settlement data and the budget data to establish a data reconciliation relationship between the design budget data, the execution budget data and the contract; Step S5: Determine the completion status of each project in the contract based on the contract settlement data and the plan data; Step S6: Determine the static unit price of the contract based on the contract settlement data and the preliminary estimate data; Step S7: Based on the completed project quantity, the estimated data, the contract settlement data, the contract static unit price, and the planned data, determine the cost deviation, schedule deviation, cost performance index, and schedule performance index to determine the deviation evaluation parameters. Step S8: Based on the deviation evaluation parameters, sort the items that cause adverse deviations and the items that cause favorable deviations in descending order of their absolute impact value, and implement early warning management for items whose cumulative deviation accounts for a preset percentage of the total deviation.

2. The analytical method for engineering project management according to claim 1, characterized in that, Step S3 includes... Step S31: Determine the planned data according to the database design requirements and manage it dynamically; Step S32: Determine the variable engineering quantities or the estimated total control quantities according to the database design requirements.

3. The analytical method for engineering project management according to claim 1, characterized in that, In step S5, the completion status of each project in the contract is determined based on the completed work volume in the contract settlement data and the contracted work volume and changed work volume in the planning data.

4. The analytical method for engineering project management according to claim 1, characterized in that, Step S7 includes... Step S71: Determine the investment for completing the project based on the completed project quantity and the estimated cost data; Step S72: Determine the actual completed static investment based on the contract settlement data and the contract static unit price; Step S73: Determine the investment to be completed according to the planned data and the estimated data; Step S74: Determine the cost deviation, schedule deviation, cost performance index, and schedule performance index based on the investment completed in the projected image, the actual completed static investment, and the investment completed in the projected plan, respectively. Step S75: Determine the deviation evaluation parameters based on the cost deviation and the schedule deviation to determine the investment schedule trend of the entire project; Wherein, the cost deviation is the difference between the investment completed in the planned image and the actual static investment completed; the schedule deviation is the difference between the investment completed in the planned image and the investment completed in the planned plan; the cost performance index is the ratio of the investment completed in the planned image to the actual static investment completed; and the schedule performance index is the ratio of the investment completed in the planned image to the investment completed in the planned plan.

5. The analytical method for engineering project management according to claim 4, characterized in that, In step S71, the estimated investment for the completion of the project is determined based on the completed project quantity and the estimated investment for the project.

6. The analytical method for engineering project management according to claim 4, characterized in that, In step S72, the actual completed static investment is determined based on the completed work volume and the contract static unit price.

7. The analytical method for engineering project management according to claim 4, characterized in that, In step S73, the investment to be completed in the execution plan is determined based on the planned amount of work to be completed in the plan data and the estimated unit price of the execution plan.

8. The analytical method for engineering project management according to claim 4, characterized in that, In step S75, deviation evaluation parameters are determined based on the cost deviation and the schedule deviation to determine the overall project investment schedule trend, wherein, If the deviation evaluation parameter is within the preset range of the deviation parameter, then the investment progress trend of the project is determined to be normal investment progress. If the cost evaluation parameters are not within the preset range of deviation parameters, the investment progress trend of the project is determined to be abnormal investment progress.

9. The analytical method for engineering project management according to claim 8, characterized in that, In step S75, deviation evaluation parameters are determined based on the cost deviation and the schedule deviation, as well as their respective cost weights and schedule weights. The cost weight and the schedule weight are determined based on the cost performance index and the schedule performance index.

10. The analytical method for engineering project management according to claim 1, characterized in that, In step S8, the preset ratio is determined based on the cost performance index and the schedule performance index; The cost performance index is positively correlated with the preset ratio, and the schedule performance index is positively correlated with the preset ratio.

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