Whole-process project cost progress management method, system, equipment and medium

Abstract

The invention relates to the technical field of progress management, in particular to a whole-process project cost progress management method and system, equipment and a medium. According to the method, the engineering project is structurally decomposed, the mapping relation between the cost data and the progress data is established, and real-time monitoring of the cost execution deviation is achieved; the method comprises the following steps: firstly, obtaining divided item 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 construction cost management and the progress management are organically combined, the limitation of a traditional independent management mode is broken through, the construction cost deviation can be found and corrected in time, and the management efficiency and the control precision of an engineering project are effectively improved.

Description

Technical Field

[0001] This application relates to the technical field of progress management, and in particular, to a whole-process project cost progress management method, system, device and medium. Background Art

[0002] With the rapid development of the construction engineering industry, the scale and complexity of engineering projects are constantly increasing. As an important means of project cost control, whole-process project cost management is of great significance for ensuring project investment benefits and improving the efficiency of fund use. The collaborative management of project cost and construction progress has become the focus of the industry.

[0003] Currently, computer-aided cost management systems are generally used for cost control. By storing bill of quantities and quota information in a database, a fund usage plan is automatically generated in combination with the project progress plan to achieve dynamic collection and statistical analysis of cost data. At the same time, network planning technology is used to manage and optimize the project progress.

[0004] However, the existing technology has the problem that cost management and progress management are separated from each other, and it is impossible to effectively associate cost data with progress data, resulting in difficulties in timely discovery and correction of cost execution deviations, and cost control measures lagging behind the project progress, affecting the project investment control effect; this situation needs to be further improved. Summary of the Invention

[0005] In order to solve the problems that it is difficult to timely discover and correct existing cost execution deviations, cost control measures lag behind the project progress, and affect the project investment control effect, this application provides a whole-process project cost progress management method, system, device and medium, and adopts the following technical solutions: In the first aspect, this application provides a whole-process project cost progress management method, including the following steps: Obtain the sub-project data of the engineering project, structurally decompose the engineering project, and divide the engineering project into multiple construction nodes; According to the sub-project data, calculate the planned cost and actual cost of each construction node; According to the planned cost and actual cost of each construction node, calculate the cost execution deviation; Dynamically track the cost execution deviation, generate a cost progress control curve, and output an adjustment plan.

[0006] By adopting the above technical solution, the present application realizes real-time monitoring of cost execution deviation by structurally decomposing the engineering project and establishing a mapping relationship between cost data and schedule data. First, the sub-project data is obtained and the construction nodes are divided. Then, the planned cost and actual cost of each node are calculated. Furthermore, the cost execution deviation is analyzed through a mathematical model. Finally, a cost-schedule control curve is established based on the deviation data and an adjustment plan is generated. By organically combining cost management and schedule management, the limitation of the traditional independent management mode is broken through, cost deviation can be timely discovered and corrected, and the management efficiency and control accuracy of the engineering project are effectively improved.

[0007] Optionally, to obtain the sub-project data of the engineering project, structurally decompose the engineering project, and divide the engineering project into multiple construction nodes, the following steps are specifically included: Obtain the sub-project data of the engineering project, where the sub-project data includes engineering quantity data and planned construction period data; According to the engineering quantity data and the planned construction period data, calculate the engineering quantity distribution data and the construction period distribution data of the engineering project; According to the engineering quantity distribution data and the construction period distribution data, divide the engineering project into multiple construction nodes, and each construction node corresponds to a type of engineering quantity-construction period combination.

[0008] By adopting the above technical solution, the present application first obtains the engineering quantity data and the planned construction period data of the sub-project, then calculates the distribution characteristics of the engineering quantity and the construction period through data mining technology, and finally divides the engineering project into multiple homogeneous construction nodes based on these distribution characteristics. Each node corresponds to a specific type of engineering quantity-construction period combination, realizing the scientific and refined division of construction nodes.

[0009] Optionally, the sub-project data further includes labor cost, material cost, machinery cost, and management cost. According to the sub-project data, calculate the planned cost and actual cost of each construction node, and the following steps are specifically included: Statistically calculate the planned labor cost, planned material cost, planned machinery cost, and planned management cost of each construction node to obtain the planned cost; Account for the actual labor cost, actual material cost, actual machinery cost, and actual management cost of each construction node to obtain the actual cost; Collect and summarize the planned cost and the actual cost by construction node.

[0010] By adopting the above technical solution, this application has established a complete cost calculation system by systematically decomposing and dynamically calculating the four major cost elements of labor, materials, machinery and management; firstly, the planned costs of each construction node are classified and counted, including planned labor costs, planned material costs, planned machinery costs and planned management costs; then the various costs actually incurred are tracked and recorded; finally, the planned costs and actual costs are scientifically collected and summarized according to the construction nodes; thus, the cost calculation is made precise and systematic.

[0011] Optionally, the cost execution deviation is calculated based on the planned cost and the actual cost of each construction node, which specifically includes the following steps: Determine the execution status of various costs of a target construction node according to the planned cost and the actual cost, wherein the target construction node is any one of the construction nodes; According to the preset deviation analysis standards, the deviation of the execution of various costs is calculated to obtain the deviation value of various costs; The deviation values ​​of various types of costs are summarized to obtain the cost execution deviation of the target construction node.

[0012] By adopting the above technical scheme, this application first determines the specific execution status of various types of costs, such as labor, materials, machinery and management, for the target construction nodes; then, based on the scientifically set deviation analysis standards, independent deviation calculations are performed on various types of costs to obtain detailed deviation data; finally, through reasonable weight allocation and mathematical models, various types of deviation values ​​are systematically summarized to obtain accurate cost execution deviations; accurate identification and quantitative expression of cost execution deviations are achieved, and cost problems can be discovered and handled in a timely manner.

[0013] Optionally, a cost progress control curve is generated and an adjustment plan is output, which specifically includes the following steps: Obtain the planned cost and actual cost data, as well as the planned progress and actual progress data for each construction node; Calculate the cost saving rate and progress advance rate of each construction node respectively, 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; Set the cost deviation weight coefficient and the progress deviation weight coefficient, where the sum of the cost deviation weight coefficient and the progress deviation weight coefficient is 1; The cost saving rate is multiplied by the cost deviation weight coefficient, and the progress advance rate is multiplied by the progress deviation weight coefficient, and the sum is added to obtain a comprehensive cost-progress deviation index; When the comprehensive deviation index of the construction cost progress is greater than zero, it is determined that the construction node is in a good state; When the comprehensive deviation index of cost and progress is less than zero, it is determined that early warning intervention is required for the construction node; When the absolute value of the comprehensive deviation index of cost and progress exceeds the preset early warning threshold, the adjustment plan generation program is triggered.

[0014] By adopting the above technical solution, the present application first comprehensively collects the cost and progress data of the construction node; then introduces the cost saving rate and the progress advance rate; through the scientifically set weight coefficient, the two indexes are fused into the comprehensive deviation index of cost and progress; finally, a hierarchical early warning mechanism is designed based on this index. When the index is positive, it indicates a good state. When it is negative, early warning is started. When it exceeds the threshold, the adjustment program is automatically triggered, realizing the intelligence and precision of cost and progress control.

[0015] Optionally, the method further includes the following steps: Determine the lagging construction nodes whose deviation exceeds the preset threshold according to the cost execution deviation of each construction node; Determine the subsequent construction nodes of the lagging construction nodes according to the construction logic relationship of the engineering project; Calculate the impact of the lagging construction node on the construction period extension of the subsequent construction node, and adjust the planned cost time node of the subsequent construction node according to the number of days of construction period extension.

[0016] By adopting the above technical solution, the present application first identifies the lagging construction nodes whose cost execution deviation exceeds the preset threshold; then based on the construction logic relationship of the engineering project, analyzes and determines the affected subsequent construction nodes; finally, quantitatively calculates the impact of the lagging node on the construction period extension, and dynamically adjusts the planned cost time node of the subsequent node accordingly. Through the adjustment method based on correlation analysis, the systematicness and forward-looking of construction adjustment are realized, effectively avoiding the expansion of local problems and ensuring the overall progress and cost control effect of the project.

[0017] Optionally, calculating the impact of the lagging construction node on the construction period extension of the subsequent construction node specifically includes the following steps: Obtain the difference between the actual construction period and the planned construction period of the lagging construction node to determine the number of days of construction period lag; Identify the subsequent construction nodes affected by the construction period lag according to the construction network diagram; Adjust the planned start time and planned completion time of the subsequent construction nodes in sequence according to the construction order.

[0018] By adopting the above technical solutions, the present application first accurately calculates the number of days of construction delay at the lagging construction nodes by comparing the actual construction period and the planned construction period; then uses the logical relationships of the construction network diagram to systematically identify all affected subsequent construction nodes; and finally, in strict accordance with the construction sequence, scientifically adjusts the planned start time and completion time of each subsequent node, achieving the precision and optimization of the construction period adjustment.

[0019] In a second aspect, the present application provides a whole-process project cost and progress management system, including: A construction node division module, configured to obtain the sub-project data of the engineering project, perform a structured decomposition on the engineering project, and divide the engineering project into multiple construction nodes; A cost calculation module, configured to calculate the planned cost and actual cost of each construction node according to the sub-project data; An execution deviation calculation module, configured to calculate the cost execution deviation according to the planned cost and actual cost of each construction node; An adjustment plan output module, configured to dynamically track the cost execution deviation, generate a cost progress control curve, and output an adjustment plan.

[0020] In a third aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the above whole-process project cost and progress management method are implemented.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above whole-process project cost and progress management method are implemented.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: 1. By performing a structured decomposition on the engineering project and establishing a mapping relationship between cost data and progress data, the present application realizes the real-time monitoring of cost execution deviations; first obtains the sub-project data and divides the construction nodes, then calculates the planned cost and actual cost of each node, further analyzes the cost execution deviation through a mathematical model, and finally establishes a cost progress control curve and generates an adjustment plan based on the deviation data; organically combines cost management and progress management, breaks through the limitations of the traditional independent management mode, can timely discover and correct cost deviations, and effectively improves the management efficiency and control accuracy of engineering projects; 2. This application first obtains the engineering quantity data and planned construction period data of sub - projects, then calculates the distribution characteristics of the engineering quantity and construction period through data mining technology, and finally divides the engineering project into multiple homogeneous construction nodes based on these distribution characteristics. Each node corresponds to a specific engineering quantity - construction period combination type, realizing the scientific and refined division of construction nodes; 3. This application first determines the specific implementation of various costs such as labor, materials, machinery, and management for the target construction node; then, according to the scientifically set deviation analysis criteria, independent deviation calculations are performed on various costs to obtain refined deviation data; finally, through reasonable weight allocation and a mathematical model, various deviation values are systematically summarized to obtain the accurate cost execution deviation; realizing the accurate identification and quantitative expression of the cost execution deviation, and being able to promptly discover and handle cost problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a schematic flowchart of a whole - process project cost and progress management method according to an embodiment of this application; Figure 2 is a schematic flowchart of step S100 in a whole - process project cost and progress management method according to an embodiment of this application; Figure 3 is a schematic flowchart of step S200 in a whole - process project cost and progress management method according to an embodiment of this application; Figure 4 is a schematic flowchart of step S300 in a whole - process project cost and progress management method according to an embodiment of this application; Figure 5 is a schematic flowchart of step S400 in a whole - process project cost and progress management method according to an embodiment of this application; Figure 6 is a cost - progress control analysis chart of a whole - process project cost and progress management method according to an embodiment of this application; Figure 7 is a CPSI change curve chart of a whole - process project cost and progress management method according to an embodiment of this application; Figure 8 is another schematic flowchart of a whole - process project cost and progress management method according to an embodiment of this application; Figure 9 is a schematic flowchart of step S700 in a whole - process project cost and progress management method according to an embodiment of this application; Figure 10 is a module schematic diagram of a whole - process project cost and progress management system according to an embodiment of this application; Figure 11 is an internal structure diagram of an electronic design according to an embodiment of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] The terms used in the following embodiments of this application are only for the purpose of describing specific embodiments and are not intended to limit this application. As used in the specification and appended claims of this application, the singular forms "a", "an", "the", "above-mentioned", "said", and "this" are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in this application refers to any or all possible combinations including one or more of the listed items.

[0025] Hereinafter, the terms "first" and "second" are only used for descriptive purposes and should not be construed as implying or suggesting relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of this application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0026] The embodiments of this application will be further described in detail below with reference to the accompanying drawings of the specification.

[0027] In a first aspect, this application provides a whole-process project cost progress management method, with reference to Figure 1 , including the following steps: S100. Obtain the sub-project data of the engineering project, perform a structural decomposition on the engineering project, and divide the engineering project into multiple construction nodes.

[0028] In this embodiment, the sub-project 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, realizing the structural management of the project. The engineering structure decomposition database pre-stores the standard decomposition templates of common engineering types and can be quickly matched and applied.

[0029] Specifically, taking an office building project as an example, first import the construction drawings and bill of quantities, and refer to the office building decomposition template in the database to divide the project into major categories such as foundation engineering, main structure, and decoration, and then further divide them into specific construction nodes such as pile foundation, pile cap, basement, and reinforced concrete frame. For special or innovative components, the decomposition results can be supplemented and improved through manual judgment. Each construction node is assigned a unique code for subsequent management and tracking.

[0030] Furthermore, 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 (areas with highly intensive resources) and cold zones (areas with relatively sparse resources). For example, within a certain period, narrow spaces such as elevator shafts and pipe shafts may gather multiple professional construction teams simultaneously, forming typical hot zones; while the ordinary areas on the same floor form cold zones. The system dynamically updates the regional heat map by real - time monitoring the spatial distribution density of resources such as construction workers and equipment.

[0031] S200. Calculate the planned cost and actual cost of each construction node according to the sub - project data.

[0032] 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 summing the products of the quantities of work and the corresponding quota indicators, while the actual cost is obtained by real - time statistics of consumption data such as materials, labor, and machinery at 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.

[0033] Specifically, before the start of each construction node, combined with the project characteristics and market conditions, appropriate quota indicators are selected for planned cost calculation. During the construction process, actual cost data at the site are collected through mobile terminals, including the unit price of materials entering the site, labor hours records of laborers, and usage duration of construction machinery. The system updates the cost data daily and conducts dynamic comparison with the planned cost.

[0034] Furthermore, by establishing a congestion cost model for construction in hot zones (including construction efficiency reduction coefficient and idle work loss) and a scale - effect revenue model for construction in cold zones, the economy of different regional combination schemes is quantitatively evaluated. When there is excessive resource concentration in a certain area, the system automatically calculates the cost - benefit of transferring some transferable work to an area with lower resource density to achieve a more optimal cost plan.

[0035] S300. Calculate the cost execution deviation according to the planned cost and actual cost of each construction node.

[0036] In this embodiment, a multi - level cost deviation analysis method is adopted to establish a standardized deviation calculation model. The deviation calculation model not only calculates the total cost deviation, but also conducts deviation analysis on different cost elements such as labor, materials, and machinery respectively to identify the specific reasons and influence degrees of cost deviation. Importance weights of different cost elements are set in the model to ensure the accuracy of the analysis results.

[0037] Furthermore, this embodiment pays special attention to the cost fluctuations caused by the imbalance of regional heat distribution when analyzing the cost execution deviation. By establishing a "hot and cold area value assessment model", various hidden costs caused by crowded construction areas are identified, such as: reduced construction efficiency, poor material turnover and increased safety management pressure. By calculating various hidden costs, the cost execution deviation can be calculated more accurately.

[0038] S400, dynamically track cost execution deviation, generate cost progress control curve, and output adjustment plan.

[0039] In this embodiment, a simple cost progress control chart based on Excel is established. By setting two baselines, the planned value and the actual value, the cost execution status is intuitively displayed. When the actual curve deviates from the planned curve beyond the preset range, the warning point is automatically marked and adjustment suggestions based on historical experience are given.

[0040] In one embodiment, referring to Figure 2 In step S100, the sub-item engineering data of the project is obtained, the project is structurally decomposed, and the project is divided into multiple construction nodes, which specifically includes the following steps: S110, obtaining sub-item engineering data of the engineering project, where the sub-item engineering data includes engineering quantity data and planned construction period data.

[0041] In this embodiment, the acquisition of sub-project data is completed by electronic entry of project preliminary data. The system has established a standardized Excel template, which includes two worksheets: the engineering quantity table and the construction schedule table. The engineering quantity table sets up basic fields such as sub-project, sub-project, project code, project name, unit, and engineering quantity, while the construction schedule table contains time dimension information such as planned start time, planned completion time, and duration.

[0042] Specifically, project managers enter the engineering quantity and planned construction period data into the Excel template according to the construction drawings and construction organization design. For example, in the main structure sub-project of a high-rise building project, the engineering quantity data such as the concrete volume and steel bar usage of the sub-projects such as columns, beams, and slabs, as well as the planned start and completion time of each floor construction, are all filled in according to the template format. The template has a data validity check function to ensure the integrity and accuracy of the input data.

[0043] S120. Calculate the engineering quantity distribution data and the construction period distribution data of the engineering project according to the engineering quantity data and the planned construction period data.

[0044] In this embodiment, statistical analysis is performed on the engineering quantity and construction period data through a pre-set data processing function. An engineering quantity-time distribution mapping table is established, and the engineering quantity data is reorganized according to the time dimension to calculate the engineering quantity concentration degree of each time period. At the same time, through the analysis of the construction period overlap degree, key time nodes and construction intensity change points during the construction process are identified.

[0045] Specifically, using the function of Excel pivot table, the distribution of engineering quantity is statistically analyzed monthly or weekly to generate an engineering quantity density curve. For the construction period data, a bar chart is used to intuitively display the duration and intersection relationship of each sub-project.

[0046] S130. According to the engineering quantity distribution data and the construction period distribution data, the engineering project is divided into multiple construction nodes, and each construction node corresponds to an engineering quantity-construction period combination type.

[0047] In this embodiment, a classification standard table based on the engineering quantity and construction period characteristics is established. The classification standard table divides the engineering quantity into three levels: large, medium, and small, and the construction period into three levels: long, medium, and short, forming nine basic combination types. By looking up the table, the combination type to which each construction unit belongs can be quickly determined, realizing the rapid division of construction nodes.

[0048] Specifically, first determine the grading standards for the engineering quantity and the construction period. For example, if the proportion of the engineering quantity in the total quantity exceeds 10% it is large, 5%-10% is medium, and less than 5% is small; if the construction period exceeds 3 months it is long, 1-3 months is medium, and less than 1 month is short. Then, referring to the standard table, the construction units with the same or similar combination characteristics are merged into one construction node. For example, in a certain project, the floor construction of the main structure can be divided into several independent construction nodes according to the standard floor combination because of its large engineering quantity and long construction period. And some decoration projects, because of their small engineering quantity and short construction period, can be merged into the same construction node for unified management.

[0049] In one embodiment, the sub-project data further includes labor cost, material cost, machinery cost, and management cost. Referring to Figure 3 , in step S200, according to the sub-project data, the planned cost and actual cost of each construction node are calculated, which specifically includes the following steps: S210. Statistically analyze the planned labor cost, planned material cost, planned machinery cost, and planned management cost of each construction node to obtain the planned cost.

[0050] In this embodiment, a cost estimation form based on the quota consumption is established. The cost estimation form presets the calculation formulas for labor, materials, machinery, and management expenses, and the input of the engineering quantity and market unit price can automatically calculate each cost item. To improve the calculation efficiency, common quota consumption data is built into the form, which can be selected according to the project characteristics without a complex modeling process.

[0051] Specifically, the measurement of the planned cost is carried out by the itemized accumulation method. First, query the labor, material, and machinery consumption indexes of the corresponding quota sub-items, and multiply them by the planned engineering quantity to obtain the total consumption. Then, conduct cost measurement based on the labor wage standard, material market price, machinery shift unit price, etc. determined through market research. Finally, calculate the management cost according to the fee collection standard. For example, for a reinforced concrete sub-project, obtain the consumption quotas such as the number of labor days, steel consumption, and formwork area required per cubic meter of concrete by looking up the table, and combine the market price to estimate the planned cost of this construction node.

[0052] Furthermore, for prefabricated building projects, a "component family - cost elasticity coefficient matrix" is added to the template. Based on the BIM model data, the precast components are automatically clustered according to geometric characteristics and functional attributes to form different component groups. Associate the sub-item project data with the scale effect of the precast components, and dynamically reflect the non-linear relationship between the component batch and the unit cost by setting the cost elasticity coefficients in different production quantity intervals. For example, when the production quantity of a certain type of precast wall panel reaches the scale threshold, its unit cost will show an obvious decreasing characteristic, and the system automatically adjusts the planned cost corresponding to the engineering quantity through the elasticity coefficient.

[0053] S220. Calculate the actual labor cost, actual material cost, actual machinery cost, and actual management cost of each construction node to obtain the actual cost.

[0054] In this embodiment, a construction site data collection system based on a mobile terminal is adopted. The on-site management personnel record the basic data such as daily labor attendance, material arrival, and machinery use through the mobile phone APP. The system automatically summarizes and generates a daily report form, and imports it into the cost accounting form for statistical analysis.

[0055] Specifically, the actual cost accounting adopts the cost collection method. The labor cost is statistically analyzed through the attendance records of labor workers and salary payment vouchers; the material cost is determined according to the actual arrival quantity and purchase invoices; the machinery cost is calculated through the equipment usage hour records and lease contracts; the management cost includes the actual expenditures such as the salaries of on-site management personnel and office expenses.

[0056] S230. Accumulate and summarize the planned cost and the actual cost by construction node.

[0057] In this embodiment, a cost summary tool based on Excel macros is developed. The tool is set with a multi-level cost accumulation table, and data screening and summarization can be carried out according to different dimensions such as construction node, cost category, time period, etc. Through the preset data pivot table template, various statistical reports can be quickly generated.

[0058] Specifically, the cost collection adopts the hierarchical summarization method. First, classify the basic data according to the construction node codes, and summarize the planned cost and the actual cost respectively; then set up a cost analysis template to automatically calculate the comparison between the planned value and the actual value.

[0059] In one embodiment, referring to Figure 4 , in step S300, according to the planned cost and the actual cost of each construction node, calculate the cost execution deviation, which specifically includes the following steps: S310. According to the planned cost and the actual cost, determine the execution situation of various types of costs of the target construction node, where the target construction node is any one of the construction nodes.

[0060] In this embodiment, the system establishes a cost execution analysis table, and the cost execution analysis table classifies the cost execution situation by using the four - quadrant method. The horizontal axis represents the cost completion progress, and the vertical axis represents the cost execution difference. Map the execution situations of labor, material, machinery, and management costs to different quadrants to visually display the execution status of various types of costs. Through the preset color markings, quickly identify the cost items that need to be focused on.

[0061] Specifically, for each target construction node, calculate the cost execution progress according to the proportion of the completed project volume, and at the same time count the actual occurrence of various types of costs. For example, for a masonry project construction node with 60% of the project volume completed, the system automatically calculates that the labor cost execution rate is 65%, the material cost execution rate is 58%, the machinery cost execution rate is 62%, and the management cost execution rate is 61%. By comparing with the planned value, mark the execution positions of various types of costs in the four - quadrant diagram, and the points that deviate far from the diagonal represent the cost types that need to be focused on.

[0062] S320. According to the preset deviation analysis criteria, calculate the deviation of the execution situation of various types of costs to obtain the deviation values of various types of costs.

[0063] In this embodiment, the basic mathematical functions in the Excel table are used to realize the automatic calculation of the deviation. The deviation analysis criteria adopt a three - level early warning mechanism, which divides the deviation values into three levels: normal, attention, and warning, and each level corresponds to different processing strategies.

[0064] S330. Summarize the deviation values of various types of costs to obtain the cost execution deviation of the target construction node.

[0065] In this embodiment, the weighted average method is used for the comprehensive calculation of the cost execution deviation. A cost weight configuration table is established, and the weight coefficients of various types of costs are flexibly adjusted according to different project types and construction stages.

[0066] In one embodiment, referring to Figure 5, in step S400, a cost-progress control curve is generated and an adjustment plan is output, which specifically includes the following steps: S410. Obtain the planned cost and actual cost data, as well as the planned progress and actual progress data, for each construction node.

[0067] S420. Calculate the cost savings rate and schedule advance rate for each construction node respectively.

[0068] Among them, the cost savings rate is (planned cost - actual cost) divided by the planned cost, and the schedule advance rate is (planned progress - actual progress) divided by the planned progress.

[0069] In this embodiment, referring to Figure 6 the cost-progress control analysis diagram shown, 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 dotted line, intuitively showing the changing trends of the two curves. In the diagram, node 2 shows that the planned cost is 2.5 million yuan and the actual cost is 2.4 million yuan, and the cost savings rate of this node can be quickly calculated as 4%.

[0070] Specifically, the system uses the hyperbola comparison method for data analysis. From the changing trends from node 1 to node 6, it can be seen that the actual cost curve is slightly higher than the planned curve in the early stage, gradually lower than the planned curve in the middle stage, and the two curves tend to coincide in the later stage of the project. Through the deviation degree between the planned curve and the actual curve, the cost control situation in each stage can be intuitively judged, providing a basis for timely adjustment.

[0071] S430. Set the cost deviation weight coefficient and the schedule deviation weight coefficient.

[0072] Among them, the sum of the cost deviation weight coefficient and the schedule deviation weight coefficient is 1.

[0073] S440. Multiply the cost savings rate by the cost deviation weight coefficient, multiply the schedule advance rate by the schedule deviation weight coefficient, and add them together to obtain the cost-progress comprehensive deviation index.

[0074] In this embodiment, the weight coefficients of cost and schedule are determined by establishing a weight configuration table. For example, considering that the importance of cost control is slightly higher than that of schedule control in the current project, the cost deviation weight coefficient is set to 0.6 and the schedule deviation weight coefficient is set to 0.4. The system substitutes the cost savings rate and schedule advance rate of each node into the calculation formula to generate Figure 7 the CPSI change curve shown.

[0075] Specifically, taking Figure 7Taking the middle node 2 as an example, the cost saving rate is 4% (a positive value indicates savings), and the schedule advancement rate is 2%. Substituting these values into the formula: CPSI = 0.6×4% + 0.4×2% = 3.2%. It is obtained that the comprehensive deviation index of this node is about 0.08, which is within the controllable range within the early warning upper limit of 0.1. From the overall trend of the CPSI curve, the project performs stably in the early stage and shows a downward trend in the middle stage, which requires timely attention and adjustment.

[0076] S450. Determine the treatment plan according to the comprehensive cost and schedule deviation index and the preset early warning threshold.

[0077] Among them, when the comprehensive cost and schedule deviation index is greater than zero, it is determined that the construction node is in a good state; when the comprehensive cost and schedule deviation index is less than zero, it is determined that the construction node requires early warning intervention; when the absolute value of the comprehensive cost and schedule deviation index exceeds the preset early warning threshold, the adjustment plan generation program is triggered.

[0078] Specifically, the system has established a three-level early warning response mechanism. Two dotted lines, upper and lower, are set in the CPSI change curve, representing the early warning upper limit (0.1) and the early warning lower limit (-0.1) respectively. When the CPSI curve exceeds these two warning lines, the system automatically triggers the corresponding level of early warning; specifically, according to the position of the CPSI index, the system automatically generates treatment 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 method 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 initiated, and it is recommended to strengthen monitoring and analysis; when the index is lower than -0.1 (such as node 5), a second-level early warning is initiated, and the system automatically generates an adjustment plan, such as specific measures like optimizing resource allocation and adjusting construction processes; From Figure 7 It can be seen that the project reaches the lowest point of about -0.2 at node 5, triggering the adjustment plan generation program. After adjustment, it rebounds at node 6, verifying the effectiveness of the early warning mechanism.

[0079] In one embodiment, referring to Figure 8 , the method further includes the following steps: S500. Determine the lagging construction nodes with deviations exceeding the preset threshold according to the cost execution deviations of each construction node.

[0080] In this embodiment, the system has established a cost deviation analysis database for construction nodes. By comparing the preset deviation threshold with the actual execution deviation, the lagging construction nodes that need to be focused on are identified; the database contains the cost execution data of various construction nodes in historical projects, and through data mining, the corresponding relationship between common deviation causes and influence degrees is established.

[0081] Specifically, the system first reads the planned cost and actual cost data of each construction node in the current project, calculates the absolute value and relative value of the execution deviation. 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, if 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 will automatically identify it as a lagging node.

[0082] S600. According to the construction logical relationship of the engineering project, determine the subsequent construction nodes of the lagging construction nodes.

[0083] In this embodiment, a construction node association mapping table is used to store and manage the logical relationships between each node in the engineering project. The mapping table uses an adjacency matrix to record the dependency relationships between nodes and marks the critical path information. The system quickly locates all subsequent nodes affected by the lagging nodes by querying the mapping table.

[0084] Specifically, after identifying the lagging construction node, the system automatically retrieves the subsequent nodes that have direct or indirect dependency relationships with this node in the mapping table. For example, if a beam-column node is identified as a lagging node, the system can quickly determine through the mapping table that the subsequent floor slab, wall, decoration and other related nodes will all be affected.

[0085] S700. Calculate the impact of the lagging construction node on the subsequent construction node's construction period extension, and adjust the planned cost time node of the subsequent construction node according to the number of days of construction period extension.

[0086] In this embodiment, a construction period extension impact assessment 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.

[0087] Specifically, the system first queries the assessment table to obtain the minimum interval time and elastic space between each process, and then calculates the extension impact in combination with the actual number of lagging days. For example, if a beam-column node lags behind for 5 days, according to the assessment table, the minimum interval between it and the subsequent floor slab node is 3 days, and the elastic space is 2 days. Then the system automatically extends the planned time of the floor slab node by 3 days to ensure the rationality of the construction sequence.

[0088] In one embodiment, with reference to Figure 9 , in step S700, calculating the impact of the lagging construction node on the subsequent construction node's construction period extension specifically includes the following steps: S710. Obtain the difference between the actual construction period and the planned construction period of the lagging construction node, and determine the number of days of construction period lag.

[0089] In this embodiment, a construction period difference calculation form is established to record and track the planned construction period and actual construction period of each construction node. The construction period difference calculation form 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 number of days in arrears.

[0090] Specifically, the construction period difference calculation form is set with an automatic calculation formula. When the actual completion time of a certain node is input, the system automatically compares it with the planned completion time to obtain the specific number of days in arrears.

[0091] S720. According to the construction network diagram, identify the subsequent construction nodes affected by the construction period lag.

[0092] 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 lagged node are quickly identified through filtering and sorting.

[0093] Specifically, when the lagged node is determined, the system filters all rows with this node as the leading task in the construction network relationship diagram, and the list of directly affected subsequent nodes can be obtained. For example, it is found through filtering that a lagged beam-column node will directly affect the construction period arrangements of 3 subsequent nodes such as floor construction and wall construction.

[0094] S730. In the construction sequence, sequentially adjust the planned start time and planned completion time of the subsequent construction nodes.

[0095] In this embodiment, the system designs a construction period extension calculation template. The template presets the minimum number of days between different types of construction nodes and automatically adjusts the planned time of subsequent nodes 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.

[0096] Specifically, the system substitutes the number of days in arrears into the construction period extension calculation template and adjusts the planned time of subsequent nodes one by one according to the construction sequence. For each subsequent node, its planned start time will be extended by no less than the number of days in arrears of the previous node.

[0097] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0098] In the second aspect, the present application provides a whole-process project cost progress management system. The whole-process project cost progress management system of the present application will be described below in combination with the above whole-process project cost progress management method.

[0099] Refer to Figure 10, a whole-process project cost and progress management system, comprising: A construction node division module, configured to obtain the sub - project data of a construction project, perform a structured decomposition on the construction project, and divide the construction project into multiple construction nodes; A cost calculation module, configured to calculate the planned cost and actual cost of each construction node according to the sub - project data; An execution deviation calculation module, configured to calculate the cost execution deviation according to the planned cost and actual cost of each construction node; An adjustment plan output module, configured to dynamically track the cost execution deviation, generate a cost - progress control curve, and output an adjustment plan.

[0100] In one embodiment, the present application provides an electronic device, which may be a server, and its internal structure diagram may be as Figure 11 shown. 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 and 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 operation of the operating system and computer program in the non - volatile storage medium. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a whole - process project cost and progress management method.

[0101] Those skilled in the art can understand that Figure 11 the structure shown in

[0102] is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the electronic device to which the solution of the present application is applied. The specific electronic device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0103] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The above 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 embodiments of the above various methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0104] The above are all preferred embodiments of the present application. The protection scope of the present application is not limited thereby. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be covered within the protection scope of the present application.

Claims

1. A whole-process project cost progress management method, characterized in that It includes the following steps: Obtain the sub - project data of the engineering project, conduct a structured decomposition of the engineering project, and divide the engineering project into multiple construction nodes; Calculate the planned cost and actual cost of each construction node according to the sub - project data; Calculate the cost execution deviation according to the planned cost and actual cost of each construction node; Dynamically track the cost execution deviation, generate a cost - progress control curve, and output an adjustment plan.

2. The whole-process project cost progress management method according to claim 1, wherein Obtain the sub - project data of the engineering project, conduct a structured decomposition of the engineering project, and divide the engineering project into multiple construction nodes, which specifically includes the following steps: Obtain the sub - project data of the engineering project, and the sub - project data includes engineering quantity data and planned duration data; Calculate the engineering quantity distribution data and duration distribution data of the engineering project according to the engineering quantity data and planned duration data; Divide the engineering project into multiple construction nodes according to the engineering quantity distribution data and duration distribution data, and each construction node corresponds to an engineering quantity - duration combination type.

3. The whole-process project cost progress management method according to claim 1, characterized in that, The sub - project data also includes labor cost, material cost, machinery cost, and management cost. Calculate the planned cost and actual cost of each construction node according to the sub - project data, which specifically includes the following steps: Statistical planned labor cost, planned material cost, planned machinery cost, and planned management cost of each construction node to obtain the planned cost; Account for the actual labor cost, actual material cost, actual machinery cost, and actual management cost of each construction node to obtain the actual cost; Collect and summarize the planned cost and actual cost by construction node.

4. The whole-process project cost progress management method according to claim 1, characterized in that Calculate the cost execution deviation according to the planned cost and actual cost of each construction node, which specifically includes the following steps: Determine the execution status of various costs of the target construction node according to the planned cost and actual cost, and the target construction node is any one of the construction nodes; Perform deviation calculation on the execution status of various costs according to the preset deviation analysis criteria to obtain the deviation values of various costs; Summarize the deviation values of various costs to obtain the cost execution deviation of the target construction node.

5. The whole-process project cost progress management method according to claim 1, characterized in that Generate a cost - progress control curve and output an adjustment plan, which specifically includes the following steps: Obtain the planned cost, actual cost data, and planned progress and actual progress data of each construction node; Calculate the cost savings rate and progress advance rate of each construction node respectively. Among them, the cost savings rate is (planned cost - actual cost) divided by planned cost, and the progress advance rate is (planned progress - actual progress) divided by planned progress; Set the cost deviation weight coefficient and progress deviation weight coefficient, and the sum of the cost deviation weight coefficient and progress deviation weight coefficient is 1; Multiply the cost savings rate by the cost deviation weight coefficient, multiply the progress advance rate by the progress deviation weight coefficient, and add them to obtain the cost - progress comprehensive deviation index; When the cost - progress comprehensive deviation index is greater than zero, determine that the construction node is in a good state; When the comprehensive deviation index of cost and progress is less than zero, it is determined that early warning intervention is required for the construction nodes; When the absolute value of the comprehensive deviation index of cost and progress exceeds the preset early warning threshold, the adjustment plan generation program is triggered.

6. The whole-process project cost progress management method according to claim 4, characterized in that The method further includes the following steps: Determine the lagging construction nodes with deviations exceeding the preset threshold according to the cost execution deviations of each construction node; Determine the subsequent construction nodes of the lagging construction nodes according to the construction logical relationship of the engineering project; Calculate the impact of the lagging construction nodes on the construction period extension of the subsequent construction nodes, and adjust the planned cost time nodes of the subsequent construction nodes according to the number of days of construction period extension.

7. The whole-process project cost progress management method according to claim 6, characterized in that Calculating the impact of the lagging construction nodes on the construction period extension of the subsequent construction nodes specifically includes the following steps: Obtain the difference between the actual construction period and the planned construction period of the lagging construction node to determine the number of days of construction period lag; Identify the subsequent construction nodes affected by the construction period lag according to the construction network diagram; Adjust the planned start time and planned completion time of the subsequent construction nodes in sequence according to the construction order.

8. A whole-process project cost progress management system, characterized in that, Includes: A construction node division module for obtaining the sub - project data of the engineering project, structurally decomposing the engineering project, and dividing the engineering project into multiple construction nodes; A cost calculation module for calculating the planned cost and actual cost of each construction node according to the sub - project data; An execution deviation calculation module for calculating the cost execution deviation according to the planned cost and actual cost of each construction node; An adjustment plan output module for dynamically tracking the cost execution deviation, generating a cost - progress control curve, and outputting an adjustment plan.

9. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the whole - process project cost - progress management method described in any one of claims 1 - 7.

10. 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 project cost - progress management method described in any one of claims 1 - 7.

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