A whole-process engineering cost progress management method, system, device and medium

Abstract

The application relates to the technical field of progress management, in particular to a whole-process engineering cost progress management method, system, device and medium. The application realizes real-time monitoring of cost execution deviation by structurally decomposing an engineering project, establishing a mapping relationship between cost data and progress data, firstly acquiring sub-project engineering data and dividing construction nodes, then calculating planned cost and actual cost of each node, further analyzing cost execution deviation through a mathematical model, and finally establishing a cost progress control curve based on deviation data and generating an adjustment scheme. The application organically combines cost management and progress management, breaks through the limitation of a traditional independent management mode, can timely find and correct cost deviation, and effectively improves the management efficiency and control precision of the engineering project.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of progress management, and in particular to a whole-process engineering cost progress management method, system, device and medium. BACKGROUND

[0002] With the rapid development of the construction engineering industry, the scale and complexity of engineering projects are constantly improving. Whole-process engineering cost management, as an important means of project cost control, is of great significance to ensuring project investment benefits and improving the efficiency of capital use. The coordinated management of engineering cost and construction progress has become the focus of the industry.

[0003] Currently, computer-aided cost management systems are commonly used for cost control. By storing engineering quantity lists and quota information in a database, and combining with project progress plans to automatically generate capital use plans, dynamic collection and statistical analysis of cost data can be achieved. At the same time, network planning techniques are used to manage and optimize project progress.

[0004] However, the existing technology has the problem of separation of cost management and progress management, which cannot effectively associate cost data and progress data, leading to difficulties in timely discovering and correcting cost execution deviations, and cost control measures lagging behind project progress, affecting project investment control effectiveness. This situation needs to be further improved. SUMMARY

[0005] To solve the problem of existing cost execution deviation being difficult to discover and correct in time, and cost control measures lagging behind project progress, affecting project investment control effectiveness, the present application provides a whole-process engineering cost progress management method, system, device and medium, which adopts the following technical solutions:

[0006] In a first aspect, the present application provides a whole-process engineering cost progress management method, comprising the following steps:

[0007] Obtain sub-item engineering data of an engineering project, structurally decompose the engineering project, and divide the engineering project into multiple construction nodes;

[0008] According to the sub-item engineering data, calculate the planned cost and actual cost of each construction node;

[0009] According to the planned cost and actual cost of each construction node, calculate the cost execution deviation;

[0010] Dynamically track the cost execution deviation, generate a cost progress control curve, and output an adjustment scheme.

[0011] By adopting the technical scheme, the application realizes real-time monitoring of cost execution deviation by structurally decomposing the engineering project, establishing a mapping relationship between cost data and progress data, first acquiring sub-part engineering data and dividing construction nodes, then calculating planned cost and actual cost of each node, further analyzing cost execution deviation through a mathematical model, and finally establishing a cost progress control curve based on deviation data and generating an adjustment scheme; the cost management and progress management are organically combined, breaking through the limitations of the traditional independent management mode, and the cost deviation can be found and corrected in time, effectively improving the management efficiency and control accuracy of the engineering project.

[0012] Optionally, the sub-part engineering data of the engineering project is acquired, the engineering project is structurally decomposed, and the engineering project is divided into a plurality of construction nodes, specifically including the following steps:

[0013] The sub-part engineering data of the engineering project is acquired, and the sub-part engineering data includes engineering quantity data and planned duration data;

[0014] The engineering quantity distribution data and the duration distribution data of the engineering project are calculated according to the engineering quantity data and the planned duration data;

[0015] The engineering project is divided into a plurality of construction nodes according to the engineering quantity distribution data and the duration distribution data, and each construction node corresponds to an engineering quantity-duration combination type.

[0016] By adopting the technical scheme, the engineering quantity data and the planned duration data of the sub-part engineering are first acquired, then the distribution characteristics of the engineering quantity and the duration are calculated through data mining technology, and finally the engineering project is divided into a plurality of construction nodes with homogeneity based on the distribution characteristics, and each node corresponds to a specific engineering quantity-duration combination type, realizing the scientization and refinement of the construction node division.

[0017] Optionally, the sub-part engineering data further includes labor cost, material cost, mechanical cost and management cost, and the planned cost and the actual cost of each construction node are calculated according to the sub-part engineering data, specifically including the following steps:

[0018] The planned labor cost, the planned material cost, the planned mechanical cost and the planned management cost of each construction node are counted to obtain the planned cost;

[0019] The actual labor cost, the actual material cost, the actual mechanical cost and the actual management cost of each construction node are accounted to obtain the actual cost;

[0020] The planned cost and the actual cost are collected and summarized according to the construction nodes.

[0021] By adopting the technical scheme, the application establishes a complete cost calculation system by systematically decomposing and dynamically accounting four cost factors of labor, materials, machinery and management. Firstly, the planned costs of each construction node are classified and counted, including planned labor cost, planned material cost, planned machinery cost and planned management cost. Then, the actual costs of each type are tracked and recorded. Finally, the planned cost and the actual cost are scientifically collected and summarized according to the construction node, so as to realize the precision and systematization of cost calculation.

[0022] Optionally, according to the planned cost and the actual cost of each construction node, the cost execution deviation is calculated, specifically including the following steps:

[0023] According to the planned cost and the actual cost, the execution of each type of cost of the target construction node is determined, and the target construction node is any one of the construction nodes;

[0024] According to the preset deviation analysis standard, the execution of each type of cost is calculated to obtain the deviation value of each type of cost;

[0025] The deviation values of each type of cost are summarized to obtain the cost execution deviation of the target construction node.

[0026] By adopting the technical scheme, the application firstly determines the specific execution of each type of cost of labor, materials, machinery and management for the target construction node. Then, according to the scientific deviation analysis standard, the independent deviation calculation of each type of cost is performed to obtain the refined deviation data. Finally, through reasonable weight distribution and mathematical model, the system summarizes each type of deviation value to obtain the accurate cost execution deviation. The accurate identification and quantitative expression of the cost execution deviation are realized, and the cost problem can be found and handled in time.

[0027] Optionally, a cost progress control curve is generated, and an adjustment scheme is output, specifically including the following steps:

[0028] The planned cost and actual cost data of each construction node, and the planned progress and actual progress data are obtained;

[0029] The cost saving rate and the progress advance rate of each construction node are calculated, wherein the cost saving rate is the planned cost minus the actual cost divided by the planned cost, and the progress advance rate is the planned progress minus the actual progress divided by the planned progress;

[0030] The cost deviation weight coefficient and the progress deviation weight coefficient are set, and the sum of the cost deviation weight coefficient and the progress deviation weight coefficient is 1;

[0031] multiply the cost saving rate by the cost deviation weight coefficient, multiply the progress advance rate by the progress deviation weight coefficient, and add the cost saving rate and the progress advance rate to obtain a cost progress comprehensive deviation index;

[0032] When the cost progress comprehensive deviation index is greater than zero, it is determined that the construction node is in a good state.

[0033] When the cost progress comprehensive deviation index is less than zero, it is determined that the construction node needs early warning intervention.

[0034] When the absolute value of the cost progress comprehensive deviation index exceeds a preset early warning threshold, an adjustment program generation procedure is triggered.

[0035] By adopting the technical solution, the cost and progress data of the construction node are first comprehensively collected; then the cost saving rate and the progress advance rate are introduced; by scientifically setting the weight coefficient, the two indexes are fused into the cost progress comprehensive deviation index; finally, a hierarchical early warning mechanism is designed based on the index, when the index is positive, it indicates that the state is good, when the index is negative, early warning is started, and when the index exceeds the threshold, an adjustment procedure is automatically triggered; the intelligentization and precision of cost progress control are realized.

[0036] Optionally, the method further includes the following steps:

[0037] According to the cost execution deviation of each construction node, a lagging construction node whose deviation exceeds a preset threshold is determined.

[0038] According to the construction logical relationship of the engineering project, a subsequent construction node of the lagging construction node is determined.

[0039] The influence of the lagging construction node on the time extension of the subsequent construction node is calculated, and the planned cost time node of the subsequent construction node is adjusted according to the time extension days.

[0040] By adopting the technical solution, the lagging construction node whose cost execution deviation exceeds the preset threshold is first identified; then the affected subsequent construction node is analyzed and determined based on the construction logical relationship of the engineering project; finally, the influence of the lagging node on the time extension is quantitatively calculated, and the planned cost time node of the subsequent node is dynamically adjusted accordingly; by the adjustment method based on the correlation analysis, the systematization and foresight of construction adjustment are realized, the local problem is effectively avoided from being enlarged, and the overall progress and cost control effect of the project are ensured.

[0041] Optionally, calculating the influence of the lagging construction node on the time extension of the subsequent construction node includes the following steps:

[0042] The difference between the actual construction period and the planned construction period of the lagging construction node is obtained to determine the construction period lag days.

[0043] According to the construction network diagram, a subsequent construction node affected by the construction period lag is identified;

[0044] According to the construction sequence, the planned start time and the planned completion time of the subsequent construction node are adjusted in sequence.

[0045] By adopting the technical scheme, the application first accurately calculates the construction period delay days of the lag construction node by comparing the actual construction period and the planned construction period; then, all affected subsequent construction nodes are identified by using the logical relationship of the construction network diagram; finally, the planned start time and the completion time of each subsequent node are scientifically adjusted according to the strict construction sequence, so that the precision and optimization of the construction period adjustment are realized.

[0046] In a second aspect, the application provides a whole-process project cost progress management system, comprising:

[0047] A construction node division module is configured to obtain sub-item engineering data of a project, structurally decompose the project, and divide the project into multiple construction nodes;

[0048] A cost calculation module is configured to calculate the planned cost and the actual cost of each construction node according to the sub-item engineering data;

[0049] An execution deviation calculation module is configured to calculate the cost execution deviation according to the planned cost and the actual cost of each construction node;

[0050] An adjustment scheme output module is configured to dynamically track the cost execution deviation, generate a cost progress control curve, and output an adjustment scheme.

[0051] In a third aspect, the application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the whole-process project cost progress management method.

[0052] In a fourth aspect, the application provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executable on a processor to implement the steps of the whole-process project cost progress management method.

[0053] In summary, the application has at least one of the following beneficial technical effects:

[0054] 1.The application realizes real-time monitoring of cost execution deviation by establishing a mapping relationship between cost data and progress data through structured decomposition of the engineering project; first, sub-part engineering data is obtained and construction nodes are divided, then the planned cost and actual cost of each node are calculated, and then the cost execution deviation is analyzed through a mathematical model, and finally a cost progress control curve is established based on the deviation data and an adjustment scheme is generated; the cost management and progress management are organically combined, breaking through the limitations of the traditional independent management mode, which can timely discover and correct cost deviation, effectively improving the management efficiency and control accuracy of the engineering project;

[0055] 2.The application first obtains the engineering quantity data and planned duration data of the sub-part engineering, then calculates the distribution characteristics of the engineering quantity and duration through data mining technology, and finally divides the engineering project into multiple construction nodes with homogeneity based on these distribution characteristics, each node corresponding to a specific engineering quantity-duration combination type, realizing the scientization and refinement of construction node division;

[0056] 3.The application first determines the specific execution of each type of cost, including labor, materials, machinery and management, for the target construction node; then according to the scientifically set deviation analysis standard, the deviation of each type of cost is calculated independently to obtain detailed deviation data; finally, through reasonable weight allocation and mathematical model, the deviation values of each type are systematically summarized to obtain the accurate cost execution deviation; the accurate identification and quantitative expression of the cost execution deviation are realized, which can timely discover and handle the cost problem. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 is a flowchart of a whole-process engineering cost progress management method according to an embodiment of the application;

[0058] Figure 2 is a flowchart of step S100 in the whole-process engineering cost progress management method according to an embodiment of the application;

[0059] Figure 3 is a flowchart of step S200 in the whole-process engineering cost progress management method according to an embodiment of the application;

[0060] Figure 4 is a flowchart of step S300 in the whole-process engineering cost progress management method according to an embodiment of the application;

[0061] Figure 5 is a flowchart of step S400 in the whole-process engineering cost progress management method according to an embodiment of the application;

[0062] Figure 6 is a cost progress control analysis diagram of the whole-process engineering cost progress management method according to an embodiment of the application;

[0063] Figure 7 is a CPSI change curve diagram of a whole-process engineering cost progress management method according to an embodiment of the present application;

[0064] Figure 8 is another flowchart of a whole-process engineering cost progress management method according to an embodiment of the present application;

[0065] Figure 9 is a flowchart of step S700 in a whole-process engineering cost progress management method according to an embodiment of the present application;

[0066] Figure 10 is a module schematic diagram of a whole-process engineering cost progress management system according to an embodiment of the present application;

[0067] Figure 11 is an internal structure diagram of an electronic design according to an embodiment of the present application. DETAILED DESCRIPTION

[0068] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to be limiting of the present application. As used in the specification and the appended claims of the present application, the singular forms "a," "an" and "the" are intended to include both singular and plural forms, unless the context clearly indicates otherwise. It will be further understood that the terms "and / or" as used herein refers to any or all possible combinations of one or more of the associated listed items.

[0069] Hereinafter, the terms "first" and "second" are only for the purpose of description, and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0070] The embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0071] In a first aspect, the present application provides a whole-process engineering cost progress management method, referring to Figure 1 , comprising the following steps:

[0072] S100, obtaining sub-item engineering data of the engineering project, structurally decomposing the engineering project, and dividing the engineering project into a plurality of construction nodes.

[0073] In this embodiment, the sub-construction data of the engineering project includes construction drawings, bill of quantities and construction organization design. By establishing an engineering structure decomposition database, the complex engineering project is divided into the smallest construction units that can be independently measured and controlled, so as to realize the structured management of the project. The engineering structure decomposition database pre-stores standard decomposition templates of common engineering types, so that the templates can be quickly matched and applied.

[0074] Specifically, taking an office building project as an example, first, the construction drawings and the bill of quantities are imported, and the project is divided into categories such as foundation engineering, main structure, decoration and the like by referring to the office building decomposition template in the database, and then is further divided into specific construction nodes such as pile foundation, pile cap, basement and reinforced concrete frame. For special or innovative components, the decomposition result can be supplemented and improved by manual judgment. Each construction node is assigned a unique code for subsequent management and tracking.

[0075] Further, the system pre-establishes a “regional heat dynamic mapping system”. Based on the aggregation degree of construction resources, the project space is divided into different hot zones (highly concentrated resource zones) and cold zones (relatively sparse resource zones). For example, in a certain period, narrow spaces such as elevator shafts and pipe shafts may simultaneously gather multiple professional construction teams, forming a typical hot zone; while the ordinary area of the same layer forms a cold zone. The system dynamically updates the regional heat map by real-time monitoring of the spatial distribution density of construction personnel, equipment and other resources.

[0076] S200, according to the sub-construction data, calculating the planned cost and actual cost of each construction node.

[0077] In this embodiment, a rapid estimation mechanism based on quota indicators and an actual cost collection system are established. The planned cost is obtained by adding the product of the quantities and the corresponding quota indicators, and the actual cost is obtained by real-time statistics of the consumption data of materials, labor and machinery on the construction site. The system sets a cost warning threshold, and automatically alarms when there is a significant deviation between the actual cost and the plan.

[0078] Specifically, before the start of each construction node, appropriate quota indicators are selected for the calculation of the planned cost in combination with the engineering characteristics and market conditions. During the construction process, the actual cost data on the site are collected through mobile terminals, including material entry unit price, labor worker's time record, and mechanical equipment use duration. The system updates the cost data daily and dynamically compares them with the planned cost.

[0079] Further, by establishing the congestion cost model of hot area construction (including construction efficiency reduction coefficient and the loss of the nest) and the scale effect benefit model of cold area construction, the economic efficiency of different regional combination schemes is quantitatively evaluated. When the resources are excessively dense in a certain area, the system automatically calculates the cost and benefit of replacing part of the transferable work to the area with lower resource density, so as to realize a more optimal cost scheme.

[0080] S300, according to the planned cost and actual cost of each construction node, the cost execution deviation is calculated.

[0081] In this embodiment, a multi-level cost deviation analysis method is used to establish a standardized deviation calculation model. The deviation calculation model not only calculates the total cost deviation, but also analyzes the deviation of different cost elements such as labor, materials and machinery, and identifies the specific reasons and influence degree of cost deviation. The importance weight of different cost elements is set in the model to ensure the accuracy of the analysis result.

[0082] Further, in analyzing the cost execution deviation, this embodiment pays special attention to the cost fluctuation caused by the imbalance of the hot area distribution. By establishing a "hot and cold area value evaluation model", various hidden costs caused by the congestion of the construction area are identified, such as construction efficiency reduction, material turnover difficulty and safety management pressure increase. The cost execution deviation is more accurately calculated by calculating various hidden costs.

[0083] S400, the cost execution deviation is dynamically tracked, the cost progress control curve is generated, and the adjustment scheme is output.

[0084] In this embodiment, a simple cost progress control chart based on Excel is established. By setting two baseline lines of planned value and actual value, the cost execution situation is intuitively displayed. When the actual curve deviates from the planned curve beyond the preset range, the warning point is automatically marked, and the adjustment suggestion based on historical experience is given.

[0085] In one embodiment, referring to Figure 2 , in step S100, the sub-part engineering data of the engineering project is acquired, the engineering project is structurally decomposed, and the engineering project is divided into multiple construction nodes, which specifically includes the following steps:

[0086] S110, acquiring the sub-part engineering data of the engineering project, the sub-part engineering data including the engineering quantity data and the planned duration data.

[0087] In this embodiment, the acquisition of sub-item engineering data is completed through the electronic input of pre-project data. The system establishes a standardized Excel template, including two worksheets of engineering quantity table and construction schedule table. The engineering quantity table sets basic fields such as sub-division engineering, sub-item engineering, project code, project name, unit, and engineering quantity, and the construction schedule table includes planned start time, planned completion time, and duration time dimension information.

[0088] Specifically, the project manager enters the engineering quantity and planned duration data into the Excel template according to the construction drawings and construction organization design. For example, in the main structure division engineering of a high-rise building project, the concrete quantity, steel quantity, and other engineering quantity data of column, beam, and plate sub-item engineering, as well as the planned start and completion time of each layer construction, are filled in according to the template format. The template has a data validity check function to ensure the completeness and accuracy of the input data.

[0089] S120, according to the engineering quantity data and the planned duration data, calculating the engineering quantity distribution data and the duration distribution data of the engineering project.

[0090] In this embodiment, the engineering quantity and duration data are statistically analyzed by pre-set data processing functions. An engineering quantity-time distribution mapping table is established to reorganize the engineering quantity data by time dimension and calculate the engineering quantity concentration of each time period. At the same time, through duration overlap analysis, the key time nodes and construction intensity change points in the construction process are identified.

[0091] Specifically, the engineering quantity distribution is statistically analyzed by month or week using the Excel data pivot table function to generate an engineering quantity density curve. For duration data, a horizontal bar chart is used to intuitively display the duration and cross relationship of each sub-item engineering.

[0092] S130, according to the engineering quantity distribution data and the duration distribution data, dividing the engineering project into multiple construction nodes, each construction node corresponding to an engineering quantity-duration combination type.

[0093] In this embodiment, a classification standard table based on engineering quantity and duration characteristics is established. The classification standard table classifies engineering quantity into three grades of large, medium, and small, and duration into three grades of long, medium, and short, forming nine basic combination types. Through table lookup, the combination type to which each construction unit belongs is quickly determined, and the rapid division of construction nodes is realized.

[0094] Specifically, first, the grading standards of the engineering quantity and the construction period are determined, such as the engineering quantity accounting for more than 10% of the total quantity is large, 5-10% is medium, and less than 5% is small, and the construction period more than 3 months is long, 1-3 months is medium, and less than 1 month is short. Then, the construction units with the same or similar combination characteristics are merged into one construction node according to the standard table. For example, the floor construction of the main structure in a project can be divided into several independent construction nodes according to the standard layer combination because of large engineering quantity and long construction period. Some decoration engineering can be merged into the same construction node for unified management because of small engineering quantity and short construction period.

[0095] In one embodiment, the sub-item engineering data further includes labor cost, material cost, mechanical cost, and management cost, referring to Figure 3 In step S200, the planned cost and the actual cost of each construction node are calculated according to the sub-item engineering data, specifically including the following steps:

[0096] S210, the planned labor cost, the planned material cost, the planned mechanical cost, and the planned management cost of each construction node are counted to obtain the planned cost.

[0097] In this embodiment, a cost estimation table based on the quota consumption is established. The cost estimation table presets the calculation formulas of labor, material, mechanical, and management costs, and can automatically calculate each cost by inputting the engineering quantity and the market unit price. To improve the calculation efficiency, the commonly used quota consumption data is built in the table, which can be selected according to the engineering characteristics without complex modeling process.

[0098] Specifically, the calculation of the planned cost adopts the sub-item accumulation method. First, the labor, material, and mechanical consumption indexes of the corresponding quota sub-item are queried, and the total consumption is obtained by multiplying the planned engineering quantity; then the labor wage standard, material market price, mechanical unit price, and the like determined by market research are used for cost estimation; finally, the management cost is calculated according to the fee standard. For example, for a reinforced concrete sub-item engineering, the labor workday number, steel consumption, and formwork area of each cubic meter of concrete are obtained by table lookup, and the planned cost of the construction node is calculated by combining the market price.

[0099] Further, for the fabricated building project, a "component family-cost elasticity coefficient matrix" is added in the template. Based on the BIM model data, the prefabricated components are automatically clustered according to the geometric characteristics and functional attributes to form different component family groups. The sub-item engineering data is associated with the scale effect of the prefabricated components, and the cost elasticity coefficient of different production quantity intervals is set to dynamically reflect the nonlinear relationship between the component batch quantity and the unit cost. For example, when the production quantity of a certain type of prefabricated wallboard reaches the scale threshold, the unit cost will show a significant decreasing feature, and the system automatically adjusts the planned cost corresponding to the engineering quantity through the elasticity coefficient.

[0100] S220, calculate actual labor cost, actual material cost, actual mechanical cost and actual management cost of each construction node to obtain actual construction cost.

[0101] In this embodiment, a construction site data collection system based on a mobile terminal is adopted. The site manager records daily labor attendance, material arrival, mechanical use and other basic data through a mobile phone APP, and the system automatically generates a daily report and imports a cost accounting form for statistical analysis.

[0102] Specifically, the actual construction cost is calculated by the cost collection method. Labor cost is calculated by laborer attendance record and salary payment voucher; material cost is calculated according to actual arrival quantity and purchase invoice; mechanical cost is calculated by equipment usage time record and rental contract; and management cost includes site manager salary, office expenses and other actual expenditures.

[0103] S230, collect and summarize the planned construction cost and the actual construction cost according to the construction node.

[0104] In this embodiment, a cost summary tool based on Excel macro is developed. The tool sets a multi-level cost collection table, which can filter and summarize data according to different dimensions such as construction node, cost category and time period. Through the preset data pivot table template, various statistical reports can be quickly generated.

[0105] Specifically, the cost collection adopts hierarchical summary method. First, the basic data is classified according to the construction node code, and the planned cost and the actual cost are summarized respectively; then the cost analysis template is set to automatically calculate the comparison between the planned value and the actual value.

[0106] In one embodiment, with reference to Figure 4 , in step S300, the construction cost execution deviation is calculated according to the planned construction cost and the actual construction cost of each construction node, specifically including the following steps:

[0107] S310, determine the execution of each type of cost of the target construction node according to the planned construction cost and the actual construction cost, the target construction node being any one of the construction nodes.

[0108] In this embodiment, the system establishes a cost execution analysis table, which classifies the cost execution by the four-quadrant method. The horizontal axis represents the cost completion progress, and the vertical axis represents the construction cost execution difference. The execution of labor, material, mechanical and management costs is mapped to different quadrants to intuitively display the execution status of each type of cost. Through the preset color marking, the cost items that need to be focused on can be quickly identified.

[0109] Specifically, for each target construction node, the cost execution progress is calculated according to the proportion of completed quantities, and the actual occurrence of various costs is counted. For example, for a masonry construction node, 60% of the quantities have been completed, the system automatically calculates the execution rates of labor cost as 65%, material cost as 58%, mechanical cost as 62%, and management cost as 61%. By comparing with the planned values, the execution positions of various costs are marked in the four-quadrant diagram, and the points far from the diagonal line indicate the cost types that need to be focused on.

[0110] In S320, deviation calculation is performed on the execution of various costs according to preset deviation analysis standards, and deviation values of various costs are obtained.

[0111] In this embodiment, the built-in basic mathematical functions in the Excel table are used to automatically calculate the deviation. The deviation analysis standard adopts a three-level early warning mechanism, and the deviation values are divided into three levels of normal, attention and alert, each level corresponding to different processing strategies.

[0112] In S330, the deviation values of various costs are summarized to obtain the cost execution deviation of the target construction node.

[0113] In this embodiment, the weighted average method is used for comprehensive calculation of the cost execution deviation. A cost weight configuration table is established, and the weight coefficients of various costs are flexibly adjusted according to different engineering types and construction stages.

[0114] In one embodiment, referring to Figure 5 , in step S400, a cost progress control curve is generated, and an adjustment scheme is output, specifically including the following steps:

[0115] In S410, the planned cost and actual cost data of each construction node, and the planned progress and actual progress data are obtained.

[0116] In S420, the cost saving rate and progress advance rate of each construction node are calculated respectively.

[0117] The cost saving rate is the planned cost minus the actual cost divided by the planned cost, and the progress advance rate is the planned progress minus the actual progress divided by the planned progress.

[0118] In this embodiment, referring to the cost progress control analysis diagram shown in Figure 6 , the horizontal axis represents the construction node, and the vertical axis represents the cost amount. The planned cost is represented by a solid line, and the actual cost is represented by a dashed line, which intuitively shows the trend of the two curves. Node 2 in the diagram shows that the planned cost is 2.5 million yuan, and the actual cost is 2.4 million yuan, so the cost saving rate of this node can be quickly calculated as 4%.

[0119] Specifically, the system uses a hyperbolic comparison method for data analysis. The trend from node 1 to node 6 shows that the actual cost curve is slightly higher than the planned curve in the early stages, gradually falls below the planned curve in the middle stages, and then the two curves tend to overlap in the later stages of the project. By observing the deviation between the planned and actual curves, the cost control situation at each stage can be intuitively judged, providing a basis for timely adjustments.

[0120] S430, Set the cost deviation weighting coefficient and schedule deviation weighting coefficient.

[0121] The sum of the cost deviation weighting coefficient and the schedule deviation weighting coefficient is 1.

[0122] S440. Multiply the cost savings rate by the cost deviation weighting coefficient, multiply the schedule lead time rate by the schedule deviation weighting coefficient, and add them together to obtain the comprehensive cost-schedule deviation index.

[0123] In this embodiment, a weighting table is established to determine the weighting coefficients for cost and schedule. For example, considering that cost control is slightly more important than schedule control in the current project, the cost deviation weighting coefficient is set to 0.6, and the schedule deviation weighting coefficient is set to 0.4. The system substitutes the cost savings rate and schedule lead time rate of each node into the calculation formula to generate... Figure 7 The CPSI variation curve is shown.

[0124] Specifically, with Figure 7 Taking node 2 as an example, the cost saving rate is 4% (a positive value indicates savings), and the schedule advance rate is 2%. Substituting into the formula: CPSI = 0.6 × 4% + 0.4 × 2% = 3.2%, the comprehensive deviation index for this node is approximately 0.08, which is within the controllable range of the warning upper limit of 0.1. Looking at the overall trend of the CPSI curve, the project performed steadily in the early stages but showed a downward trend in the middle stages, requiring timely monitoring and adjustment.

[0125] S450. Determine the handling plan based on the comprehensive deviation index of cost and schedule and the preset early warning threshold.

[0126] Specifically, when the comprehensive deviation index of cost and schedule is greater than zero, the construction node is determined to be in a good state; when the comprehensive deviation index of cost and schedule is less than zero, the construction node is determined to require early warning intervention; when the absolute value of the comprehensive deviation index of cost and schedule exceeds the preset early warning threshold, the adjustment plan generation program is triggered.

[0127] Specifically, the system establishes a three-level early warning response mechanism, and two dashed lines are set in the CPSI change curve, representing the upper limit of early warning (0.1) and the lower limit of early warning (-0.1). When the CPSI curve exceeds the two warning lines, the system automatically triggers the early warning of the corresponding level. Specifically, according to the position of the CPSI index, the system automatically generates processing suggestions: when the index is greater than 0 and less than 0.1 (such as nodes 1 and 2), it is determined to be in a normal state, and the existing management mode is continued; when the index is less than 0 and greater than -0.1 (such as nodes 3 and 4), a first-level early warning is started, and it is suggested to strengthen monitoring and analysis; when the index is less than -0.1 (such as node 5), a second-level early warning is started, and the system automatically generates an adjustment scheme, such as optimizing resource allocation, adjusting construction procedures, and specific measures; from Figure 7 It can be seen that the project reaches a minimum of about -0.2 at node 5, triggering the adjustment scheme generation program, and after adjustment, it rebounds at node 6, verifying the effectiveness of the early warning mechanism.

[0128] In one embodiment, referring to Figure 8 , the method further comprises the following steps:

[0129] S500, according to the cost execution deviation of each construction node, determine the lagging construction node whose deviation exceeds the preset threshold.

[0130] In this embodiment, the system establishes a construction node cost deviation analysis database, which identifies the lagging construction node that needs to be focused on by comparing the preset deviation threshold with the actual execution deviation; the database contains cost execution data of various construction nodes in historical projects, and establishes a corresponding relationship between common deviation causes and influence degree through data mining.

[0131] Specifically, the system first reads the planned cost and actual cost data of each construction node of the current project, calculates the absolute value and relative value of the execution deviation, and when the deviation of a certain node exceeds 1.5 times the historical average deviation value of this type of node in the database, it is marked as a lagging construction node; for example, the cost execution deviation of a certain foundation construction node reaches 15%, while the historical average deviation of this type of node in the database is 8%, the system automatically identifies it as a lagging node.

[0132] S600, according to the construction logic relationship of the engineering project, determine the subsequent construction node of the lagging construction node.

[0133] In this embodiment, a construction node association mapping table is used to store and manage the logical relationship between nodes in the engineering project, and the mapping table records the dependency relationship between nodes in an adjacency matrix manner and marks the critical path information; the system quickly locates all subsequent nodes affected by the lagging node by querying the mapping table.

[0134] Specifically, when the lagging construction node is identified, the system automatically retrieves the subsequent nodes having direct or indirect dependency relationship with the node in the mapping table; for example, a beam-column node is identified as a lagging node, the system can quickly determine that the subsequent floor, wall, decoration and other related nodes will be affected through the mapping table.

[0135] S700, calculate the impact of the lagging construction node on the subsequent construction node, and adjust the planned cost time node of the subsequent construction node according to the time extension.

[0136] In this embodiment, a construction period extension impact evaluation table is established, and the connection rules and buffer time between different types of processes are summarized based on construction experience, which is used to quickly estimate the transmission effect of construction period extension.

[0137] Specifically, the system first queries the evaluation table to obtain the minimum interval time and elastic space between each process, and then calculates the impact of the actual lag days; for example, a beam-column node lags 5 days, according to the evaluation table, the minimum interval between the beam-column node and the subsequent floor node is 3 days, and the elastic space is 2 days, then the system automatically extends the planned time of the floor node by 3 days to ensure the rationality of the construction sequence.

[0138] In one embodiment, referring to Figure 9 , in step S700, the impact of the lagging construction node on the subsequent construction node is calculated, which specifically includes the following steps:

[0139] S710, obtain the difference between the actual construction period and the planned construction period of the lagging construction node, and determine the construction period lag days.

[0140] In this embodiment, a construction period difference calculation table is established to record and track the planned construction period and the actual construction period of each construction node. The construction period difference calculation table records the planned start time, planned completion time, actual start time and actual completion time of the node; the system regularly updates the actual construction data, automatically calculates the construction period difference and outputs the lag days.

[0141] Specifically, the construction period difference calculation table sets an automatic calculation formula, when the actual completion time of a node is input, the system automatically compares it with the planned completion time to obtain the specific lag days.

[0142] S720, according to the construction network diagram, identify the subsequent construction nodes affected by the construction period lag.

[0143] In this embodiment, the logical relationship between nodes is marked by two columns of leading tasks and subsequent tasks, and all subsequent nodes related to the lagging node are quickly identified by screening and sorting.

[0144] Specifically, when the lag node is determined, the system filters all the lines of the node as the leading task in the construction network relationship diagram, so as to obtain the list of directly affected subsequent nodes; for example, it is found through filtering that a lag beam-column node will directly affect the construction period arrangement of three subsequent nodes such as floor construction and wall construction.

[0145] S730, according to the construction sequence, the planned start time and the planned completion time of the subsequent construction node are adjusted in turn.

[0146] In this embodiment, the system designs a construction period postponement calculation template, which presets the minimum interval days between different types of construction nodes, and automatically adjusts the planned time of the subsequent node according to the construction sequence; when adjusting, the nodes on the critical path are given priority to ensure the rationality of the construction period adjustment.

[0147] Specifically, the system substitutes the lag days into the construction period postponement calculation template, and adjusts the planned time of the subsequent node according to the construction sequence; for each subsequent node, the planned start time will be postponed by no less than the lag days of the previous node.

[0148] It should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution, and the execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present application.

[0149] In a second aspect, the present application provides a whole-process engineering cost progress management system, which will be described below in combination with the whole-process engineering cost progress management method.

[0150] Reference Figure 10 A whole-process engineering cost progress management system, comprising:

[0151] A construction node division module is configured to obtain sub-item engineering data of an engineering project, structurally decompose the engineering project, and divide the engineering project into a plurality of construction nodes;

[0152] A cost calculation module is configured to calculate the planned cost and the actual cost of each construction node according to the sub-item engineering data;

[0153] An execution deviation calculation module is configured to calculate the cost execution deviation according to the planned cost and the actual cost of each construction node;

[0154] An adjustment scheme output module is configured to dynamically track the cost execution deviation, generate a cost progress control curve, and output an adjustment scheme.

[0155] In one embodiment, the present application provides an electronic device, which can be a server, and its internal structure diagram can be as shown in Figure 11As shown in the figure. The electronic device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium, an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with the external terminal through the network connection. The computer program is executed by the processor to implement a whole-process engineering cost progress management method.

[0156] Those skilled in the art can understand that, Figure 11 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0157] In one embodiment, an electronic device is also provided, including a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0158] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware. The above-mentioned computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned method embodiments. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not as a limitation, RAM can be in various forms such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0159] The above are the preferred embodiments of the present application, which do not limit the protection scope of the present application, therefore: any equivalent changes made on the structure, shape, principle of the present application shall be covered within the protection scope of the present application.

Claims

1. A method for managing the entire process of project cost and schedule, characterized in that, Includes the following steps: The system acquires the sub-item engineering data of the project, performs structured decomposition of the project, and divides the project into multiple construction nodes. Based on the degree of aggregation of construction resources, the system divides the project space into resource-intensive hot zones and resource-sparse cold zones. The system dynamically updates the regional heat map by monitoring the spatial distribution density of construction personnel and equipment resources in real time. Based on the data of the sub-items of the project, the planned cost and actual cost of each construction node are calculated. In particular, by establishing a congestion cost model for construction in hot areas and a scale effect benefit model for construction in cold areas, the economic efficiency of different regional combination schemes is quantitatively evaluated. The congestion cost model includes the construction efficiency reduction coefficient and idle labor loss. Based on the planned and actual costs of each construction node, calculate the cost execution deviation, focusing on cost fluctuations caused by uneven regional heat distribution and identifying various hidden costs caused by overcrowding in construction areas. The cost execution deviation is dynamically tracked, a cost schedule control curve is generated, and an adjustment plan is output. The sub-item project data also includes labor costs, material costs, machinery costs, and management costs. Based on the sub-item project data, the planned cost and actual cost of each construction node are calculated, specifically including the following steps: The planned cost is obtained by statistically analyzing the planned labor cost, planned material cost, planned machinery cost, and planned management cost for each construction node. For prefabricated building projects, based on BIM model data, prefabricated components are automatically clustered according to geometric features and functional attributes to form different component families. The data of sub-items of the project are correlated with the scale effect of prefabricated components. By setting cost elasticity coefficients for different production ranges, the non-linear relationship between component batch and unit cost is dynamically reflected. The actual labor cost, material cost, machinery cost, and management cost at each construction node are calculated to obtain the actual cost. The planned cost and actual cost are collected and summarized according to construction milestones.

2. The method for managing the entire process of engineering cost and schedule according to claim 1, characterized in that, The process of acquiring the sub-item data of the engineering project, decomposing the project into a structured form, and dividing the project into multiple construction nodes includes the following steps: Acquire the sub-item project data of the engineering project, wherein the sub-item project data includes quantity data and planned construction period data; Based on the project quantity data and planned construction period data, calculate the project quantity distribution data and construction period distribution data for the project. Based on the project quantity distribution data and the project duration distribution data, the project is divided into multiple construction nodes, and each construction node corresponds to a project quantity-duration combination type.

3. The method for managing the entire process of project cost and schedule according to claim 1, characterized in that, Based on the planned cost and actual cost of each construction node, calculate the cost execution deviation, which includes the following steps: Based on the planned cost and the actual cost, determine the execution status of various costs for the target construction node, where the target construction node is any one of the various construction nodes; Based on the preset deviation analysis standards, the deviation of the execution of various costs is calculated to obtain the deviation values ​​of various costs; The cost execution deviation of the target construction node is obtained by summarizing the deviation values ​​of various costs.

4. The method for managing the entire process of project cost and schedule according to claim 1, characterized in that, Generate cost and schedule control curves and output adjustment plans, specifically including the following steps: Obtain the planned cost and actual cost data for each construction node, as well as the planned progress and actual progress data; Calculate the cost saving rate and schedule advance rate for each construction node, wherein the cost saving rate is the planned cost minus the actual cost divided by the planned cost, and the schedule advance rate is the planned schedule minus the actual schedule divided by the planned schedule. Set the cost deviation weighting coefficient and the schedule deviation weighting coefficient, wherein the sum of the cost deviation weighting coefficient and the schedule deviation weighting coefficient is 1; Multiply the cost saving rate by the cost deviation weighting coefficient, multiply the schedule advance rate by the schedule deviation weighting coefficient, and add them together to obtain the comprehensive cost and schedule deviation index. When the comprehensive deviation index of cost and schedule is greater than zero, the construction node is determined to be in good condition; When the comprehensive deviation index of cost and schedule is less than zero, it is determined that a construction node requires early warning and intervention. When the absolute value of the comprehensive deviation index of cost and schedule exceeds the preset warning threshold, the adjustment plan generation program is triggered.

5. The method for managing the entire process of project cost and schedule according to claim 3, characterized in that, The method further includes the following steps: Based on the cost execution deviation of each construction node, identify the lagging construction nodes whose deviation exceeds a preset threshold; Based on the construction logic of the project, determine the subsequent construction nodes of the lagging construction nodes; Calculate the impact of the delayed construction node on the extension of the construction period of subsequent construction nodes, and adjust the planned cost time nodes of subsequent construction nodes according to the extension days.

6. The method for managing the entire process of project cost and schedule according to claim 5, characterized in that, The calculation of the impact of the delayed construction node on the schedule extension of subsequent construction nodes includes the following steps: Obtain the difference between the actual construction period and the planned construction period for the delayed construction nodes, and determine the number of days of delay. Based on the construction network diagram, identify subsequent construction nodes affected by schedule delays; According to the construction sequence, the planned start and completion times of subsequent construction nodes will be adjusted accordingly.

7. A full-process engineering cost and schedule management system, characterized in that, The whole-process project cost and schedule management method according to any one of claims 1-6 includes: The construction node division module is used to acquire the sub-item engineering data of the project, perform structured decomposition of the project, and divide the project into multiple construction nodes. The cost calculation module is used to calculate the planned cost and actual cost of each construction node based on the sub-item project data; The execution deviation calculation module is used to calculate the cost execution deviation based on the planned cost and actual cost of each construction node; The adjustment scheme output module is used to dynamically track the cost execution deviation, generate a cost progress control curve, and output an adjustment scheme.

8. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the whole-process engineering cost and schedule management method according to any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the whole-process engineering cost and schedule management method as described in any one of claims 1-6.

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