An engineering cost intelligent measurement and cost control system and method

Abstract

This invention relates to the field of information processing technology, specifically to an intelligent engineering cost calculation and control system and method. The system includes a 3D component spatial analysis module for drawings, a building engineering consumption quota addressing module, a sub-item engineering cost pricing module, a construction and installation engineering cost overrun monitoring and control module, and a contract performance cash flow peak adjustment module. In this invention, by automatically analyzing the 3D geometric information in drawings, efficient calculation and accurate generation of component volumes and geometric models are achieved. The building engineering consumption quota database is combined with calculation logic to improve the rapid matching and quantitative extrapolation capabilities of resource quotas. By collecting construction ledgers and on-site settlement data in real time, the system optimizes the identification of overrun processes and the analysis of cash consumption, accurately predicts the timing of cash needs for unfinished projects, adjusts payment plans and response strategies, effectively solves material waste, inefficiency, and cash flow bottlenecks, ensures smooth cash flow, and improves project management efficiency.

Description

Technical Field

[0001] This invention relates to the field of information processing technology, and in particular to an intelligent engineering cost calculation and cost control system and method. Background Technology

[0002] The field of information processing technology encompasses all aspects of acquiring, converting, storing, transmitting, and outputting symbols, texts, sounds, and images carried by various media. Core aspects include information perception and acquisition, source encoding, channel transmission, and decoding and display. Overall, this field relies on physical processing devices, communication lines, and storage media, combined with underlying logic instructions, to construct an information interaction link from front-end acquisition to the computing center and then to terminal presentation. When dealing with massive information throughput, it relies on big data processing to complete the screening and reorganization of factual records. The traditional intelligent cost calculation and control system for engineering projects refers to an execution system consisting of a pricing platform and manual accounting ledgers, which is designed for the preparation of budgets and supervision of expenditures during the construction period of engineering projects. Cost personnel consult the building consumption quota books issued by various provinces and cities, extract the geometric dimensions of columns, beams, slabs, and walls marked in the two-dimensional plan drawings, and input the extracted length, width, and height values ​​into the pricing table. They then multiply these values ​​by the basic guidance prices for steel, cement, sand, and gravel specified in the quota library, as well as the unit price of labor shifts, to calculate various engineering costs. During the cost control stage, the on-site accountant collects the weighing slips and invoices of materials entering the site each day, as well as the attendance sheets of subcontracting teams, and manually enters the values ​​into an electronic spreadsheet. The values ​​are then subtracted from the corresponding values ​​in the original cost list, and a paper form for fund change visa is filled out based on the difference. This form is then submitted to the on-site supervisor and financial personnel for signature and approval.

[0003] Traditional engineering cost estimation and control systems have several shortcomings in actual operation. They mainly rely on manual data entry and paper forms, which can easily lead to data errors and cumbersome management. The parsing of two-dimensional drawing information requires manual extraction and calculation item by item, which is labor-intensive and inefficient. During the project execution phase, due to untimely data feedback and a lack of real-time monitoring of core processes, it is impossible to detect and control problems such as material waste, idle machinery, or idle labor in real time. At the same time, the control of cash flow relies solely on experience and judgment, which cannot accurately predict the peak points of funds, resulting in uneven resource allocation and low efficiency in fund utilization. Overall, they are unable to meet the needs of complex engineering projects for precise control and dynamic adjustment. Summary of the Invention

[0004] To address the technical problems existing in the prior art, embodiments of the present invention provide an intelligent engineering cost calculation and cost control system and method. The technical solution is as follows: On the one hand, an intelligent engineering cost calculation and cost control system is provided, which includes: The 3D component spatial analysis module extracts the geometric boundary parameters of the load-bearing structure and the enclosure structure based on the spatial topological relationship of the elements in the architectural drawings, calculates the 3D spatial shape of the components, and generates the component spatial shape calculation value. The building engineering consumption quota addressing module retrieves the construction area engineering pricing quota specification library based on the component spatial shape quantity calculation value, matches the physical structure benchmark consumption index, performs quantitative conversion of the engineering physical composition, and obtains the physical engineering resource consumption benchmark quantity dataset. The cost pricing module for sub-items of the project is based on the benchmark dataset of resource consumption of the physical project. It maps the base period price of main materials and the guide unit price of labor shifts in the construction element guidance price system, performs quantity-price integration and compound collection of fees and taxes, and establishes the baseline of the target sub-item control price. The construction project cost overrun monitoring and control module compares the construction ledger's list of circulating material consumption with the real-time labor settlement bill based on the target sub-item control price baseline, performs an offset calculation between the recorded amount and the control price baseline, and generates the cost deviation of the core construction process. The performance process cash flow peak-shaving module tracks the payment nodes of the critical path supply chain and the performance progress of subcontractors based on the cost deviation of the core construction process, calculates the cash gap of unfinished projects and the premium of material price fluctuation options, and generates a project cash flow peak-valley smoothing and control strategy.

[0005] As a further aspect of the present invention, the quantity calculation values ​​of the component spatial form include the volume of core tube concrete, the cross-sectional volume of load-bearing columns, the precast slab laying area, and the spatial volume of shear walls. The data transmission of the benchmark quantity of physical engineering resource consumption includes the tonnage of main reinforcement binding, the cubic volume of pumped concrete pouring, the amount of masonry mortar mixing, and the total consumption of standard man-days. The baseline of the target sub-item control price includes the main material cost limit item, the measure item cost item, the general contractor management fee item, and the provisional sum adjustment item. The core construction process cost deviation includes the deviation value of steel over-loss and efficiency reduction, the deviation value of labor idleness and over-cost, and the overflow rate of machinery idle cost. The project fund peak and valley smoothing control strategy includes the timing of batch allocation, the subcontractor progress payment deduction node, the supply chain finance factoring scheme, and the performance bond release plan.

[0006] As a further aspect of the present invention, the three-dimensional component space analysis module for drawings includes: The component boundary contour topology recognition submodule identifies the physical boundary connectivity of load-bearing columns, frame beams, floor slabs, and shear walls based on the underlying element framework of the architectural drawings, summarizes the associated attributes of structural intersection nodes, and generates a component spatial topology node set. The structural elevation and section parameter extraction submodule extracts the design absolute elevation, cross-sectional radial span and longitudinal extension length of each type of structural component in the architectural coordinate system based on the component spatial topology node set, and generates a three-dimensional dimension parameter table of the component. The morphology and volume calculation submodule, based on the three-dimensional scale parameter table of the component, calls the preset engineering quantity calculation rules deduction logic, performs volume deduction and spatial morphology conversion of the intersecting nodes of each type of component, and generates the spatial morphology calculation value of the component.

[0007] As a further aspect of the present invention, the construction engineering consumption quota addressing module includes: The component attribute quota catalog retrieval submodule retrieves pricing quota guidelines issued by local cost management stations based on the structural material category and construction operation identifier in the component spatial form quantity calculation value, and generates a quota number association mapping chain. The material quota matching submodule extracts the unit main material loss standard, auxiliary material ratio limit and differentiated chemical type quota man-day under the key quota item based on the quota number association mapping chain, and generates unit project quota consumption parameters. The resource consumption extrapolation submodule, based on the unit project quota consumption parameters, introduces the component spatial shape quantity calculation value into the quota consumption benchmark for equivalent extrapolation calculation of the project's physical scale, generating a dataset of physical project resource consumption benchmark quantities.

[0008] As a further aspect of the present invention, the standard for loss of main materials per unit under the key quota item refers to parsing the material details included in the quota number association mapping chain, obtaining the absolute physical loss value corresponding to the core main construction materials that exceed the preset loss rate threshold, and thus obtaining the standard for loss of main materials per unit under the key quota item.

[0009] As a further aspect of the present invention, the component cost pricing module includes: The construction factor market price search and control submodule, based on the benchmark dataset of resource consumption of the physical project, accesses the building materials market price inquiry network and cost information journal database to extract the guidance price of rebar, the landed price of commercial concrete and the unit price of professional labor shifts, and generates the base period price of construction factor costs. The resource unit price and rate composite aggregation submodule is based on the base period price of the construction element cost, and performs quantity and price fusion accounting with the benchmark quantity dataset of physical project resource consumption, and adds the upper and lower level rates and the depreciation allocation of construction machinery and equipment to generate a detailed pricing list for each type of construction resource; The sub-module for integrating the cost benchmark for each type of construction resource pricing details performs cross-level cost aggregation of differentiated professional subcontracting details, and introduces the regional market risk reserve coefficient to solidify the bottom-line price, thus establishing the target sub-item control price baseline.

[0010] As a further aspect of the present invention, the construction project cost overrun monitoring and control module includes: The construction materials and labor ledger loss verification submodule, based on the construction section corresponding to the target sub-item control price baseline, extracts material settlement sheet warehouse entry details, concrete truck receipt slips and labor team real-time settlement sheets, and generates real-time cost items incurred during the construction phase. The budget baseline and loss offsetting submodule, based on the real-time cost items incurred during the construction phase, reviews the cost occurrences during the current performance period, performs cost quota offsetting calculations against the target sub-item control price baseline, and generates a cost item amount profit and loss difference flow. The core construction process cost deviation measurement submodule identifies and anchors frequently over-budget sub-items based on the profit and loss difference flow of the cost items, calculates the erosion ratio of individual over-budget items on the overall construction cost, and generates the core construction process cost deviation.

[0011] As a further aspect of the present invention, the erosion ratio of the individual overspending on the overall construction cost refers to locating the overspending difference from the profit and loss difference flow of the cost item quota, dividing the overspending difference by a preset cost base value for numerical calculation, and obtaining the quotient result of the numerical calculation as the erosion ratio, thus obtaining the erosion ratio of the individual overspending on the overall construction cost.

[0012] As a further aspect of the present invention, the performance process cash flow peak-shaving module includes: The material and machinery procurement funding peak prediction submodule tracks the funding consumption rate during the peak period of large building materials arrival based on the cost deviation of the core construction process, analyzes the pressure points of existing funds in the process flow, and generates a supply chain funding gap time series table. The progress payment leverage range adjustment submodule, based on the supply chain funding gap timeline, extracts the visa claim confirmation form and performance progress assessment form for each subcontracted project, adjusts the progress payment ratio and node retention amount, and generates the subcontracted carry-over fund payment limit. The project funding peak and valley stabilization control submodule, based on the subcontracted carry-over fund allocation limit and the supply chain funding gap time series table, coordinates the overall project's revenue and expenditure time difference, matches factoring financing or deferred payment strategies, and establishes a project funding peak and valley stabilization control strategy.

[0013] On the other hand, the intelligent cost calculation and control method for engineering projects is implemented based on the aforementioned intelligent cost calculation and control system for engineering projects, and includes the following steps: S1: Based on the component annotation information in the architectural engineering plan, extract the geometric dimension parameters of columns, beams, slabs and walls, perform the product logic processing of length, width and height, analyze the correspondence between component type and volume value, and generate a component spatial form quantity calculation table. S2: Based on the component spatial form quantity calculation table, retrieve the quota number in the building engineering consumption quota database, extract the material consumption index and labor quota index per unit volume, perform the multiplication mapping between volume value and consumption index, and generate a data set of benchmark quantity of physical engineering resource consumption. S3: Based on the data set of benchmark quantities of resource consumption of the physical project, map the material guidance price and labor shift unit price specified in the quota library, and adjust the unit price according to the preset market price fluctuation frequency. Perform the summation of each physical quantity and the adjusted unit price to establish a baseline model of the target sub-item control price. S4: Based on the target component control price baseline model, collect the actual material arrival data and actual labor attendance data fed back from the construction site, perform a comparison between the real-time expenditure value and the target component control price baseline model, and generate the core construction process cost deviation. S5: Based on the cost deviation of the core construction process, analyze the intensity of capital demand during peak material arrival periods, adjust the matching path between procurement plans and payment nodes, and generate a peak-valley control strategy for project funds.

[0014] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: By automating the analysis of the 3D geometric information of components in drawings, the system achieves efficient calculation of component volume and accurate generation of geometric models. It combines a construction engineering consumption quota database with computational logic, enhancing the ability to quickly match and quantify resource quotas. A digital baseline for control prices of individual items is established, strengthening the system's ability to collect quota consumption, material unit prices, and regulatory fees and taxes. Simultaneously, by collecting construction ledgers and on-site settlement data in real time, the system dynamically verifies deviations against the budget baseline, optimizing the depth of identification of over-budget processes and the ability to analyze differences in capital consumption. This allows for accurate prediction of the timing of funding needs for unfinished projects, adjusting payment plans and response strategies, and effectively solving the problems of material waste, inefficiency, and bottlenecks in capital control in existing technologies. This ensures smooth capital flow and a comprehensive improvement in project management efficiency. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of an intelligent engineering cost calculation and cost control system provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the system framework of the present invention; Figure 3 This is a flowchart of the three-dimensional component spatial analysis module in the drawings of this invention; Figure 4 This is a flowchart of the building engineering consumption quota addressing module in this invention; Figure 5 This is a flowchart of the cost estimation module for sub-items of the project in this invention; Figure 6 This is a flowchart of the construction cost overrun monitoring and control module in this invention; Figure 7 This is a flowchart of the cash flow peak-shaving module in the performance process of this invention; Figure 8 This is a flowchart of an intelligent calculation and cost control method for engineering costs provided in an embodiment of the present invention. Detailed Implementation

[0017] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0018] To make the technical problems, solutions, and advantages of this invention clearer, a detailed description will be provided below in conjunction with the accompanying drawings and specific embodiments.

[0019] This invention provides an intelligent engineering cost calculation and cost control system, such as... Figure 1-2 The diagram shown illustrates an intelligent engineering cost calculation and control system. This system includes: The 3D component spatial analysis module extracts the geometric boundary parameters of the load-bearing and enclosure structures based on the spatial topological association of the elements in the architectural drawings, performs spatial morphology calculation of the components at the 3D scale, and generates the component spatial morphology calculation value. The building engineering consumption quota addressing module is based on the quantity calculation value of component spatial shape, retrieves the engineering pricing quota specification library of the corresponding construction area, matches the benchmark consumption index of each type of entity structure, performs quantitative conversion of the physical composition of the project, and obtains the benchmark quantity dataset of physical project resource consumption. The cost pricing module for sub-items of engineering projects is based on the benchmark dataset of resource consumption of physical engineering projects. It maps the base period price of main materials and the guidance unit price of labor shifts in the construction element guidance price system, performs the integration of quantity and price and the composite collection of regulatory fees and taxes, and establishes the baseline of the control price of target sub-items. The construction project cost overrun monitoring and control module compares the list of circulating material consumption registered in the on-site construction ledger with the real-time labor settlement bill, performs a limit offset calculation between the real-time recorded amount and the control price baseline, and generates the cost deviation of the core construction process based on the target sub-item control price baseline. The performance process cash flow peak-shaving module tracks the supply chain payment nodes and subcontracting performance progress on the project's critical path based on the cost deviation of core construction procedures. It calculates the cash gap exposure of unfinished projects and the premium of material price fluctuation options. By adjusting the timing of procurement entry and the leverage ratio of disbursement, it generates a project cash flow peak-valley smoothing and control strategy.

[0020] The quantity calculation values ​​for component spatial form include the volume of core tube concrete, the cross-sectional volume of load-bearing columns, the area of ​​precast slabs, and the spatial volume of shear walls. The data transfer of the benchmark quantity of physical engineering resource consumption includes the tonnage of main reinforcement binding, the cubic volume of pumped concrete pouring, the amount of masonry mortar mixed, and the total consumption of standard man-days. The baseline of the target sub-item control price includes the main material cost limit, the measure item cost, the general contractor management fee, and the provisional sum adjustment item. The cost deviation of the core construction process includes the deviation value of steel over-loss and efficiency reduction, the deviation value of labor idleness and over-cost, and the overflow rate of machinery idle cost. The peak and valley smoothing control strategy of project funds includes the timing of batch allocation, the deduction node of subcontractor progress payment, the supply chain finance factoring scheme, and the performance bond release plan.

[0021] Specifically, such as Figure 2 , 3 As shown, the 3D component space analysis module of the drawing includes: The component boundary contour topology recognition submodule identifies the physical boundary connectivity of load-bearing columns, frame beams, floor slabs, and shear walls based on the underlying element framework of the architectural drawings, summarizes the associated attributes of structural intersection nodes, and generates a component spatial topology node set. This process extracts architectural drawings from industrial-grade data formats, parses the 3D geometric coordinate dataset and material attribute label set contained within the files, and inputs the underlying graphic structure into a data cleaning and filtering pipeline to remove invalid graphic entities with null values ​​or out-of-bounds coordinates, retaining structurally complete load-bearing column entities, frame beam entities, floor slab entities, and shear wall entities. It then reads the spatial bounding box extreme coordinate data of each valid entity, compares the spatial bounding box extreme coordinate data of adjacent entities to determine if there are numerical overlap intervals, and assesses the physical boundary connectivity between load-bearing column entities, frame beam entities, floor slab entities, and shear wall entities. For entity groups with overlapping coordinate intervals, it records the centroid coordinate vector and relative angle deflection of the common intersection surface, summarizes and aggregates the association attributes of structural intersection nodes, and transforms all connected entity relationship mapping pairs into directed graph structure data, generating a component spatial topology node set. For example, when the extreme coordinate axis span range of the load-bearing column entity is set to 2.5 meters to 3.5 meters and the extreme coordinate axis span range of the frame beam entity is set to 3.0 meters to 8.0 meters, the 3.0-meter to 3.5-meter range is identified as a numerical overlap range, establishing that the two have physical connectivity and generating corresponding topological node records.

[0022] The structural elevation and section parameter extraction submodule is based on the component spatial topology node set. It extracts the design absolute elevation, cross-sectional radial span and longitudinal extension length of each type of structural component in the architectural coordinate system, and generates a three-dimensional dimension parameter table of the component. Based on the component spatial topology node set, the independent node elements in the directed graph structural data are traversed. A structural component identification query request is sent to the engineering attribute database to extract the bottom reference plane height value of each type of structural component in the building's global absolute coordinate system as the design absolute elevation. The maximum horizontal projection distance perpendicular to the main extension axis of the structural component is obtained as the radial span of the cross-section, and the Euclidean distance between the starting and ending endpoints along the main extension axis is obtained as the longitudinal extension length. The extracted design absolute elevation, radial span, and longitudinal extension length are bound and combined according to the structural component's unique identification code, outputting a structured key-value pair array to generate a three-dimensional dimensional parameter table for the component. For example, if the bottom reference plane height value is read as 4.5 meters, then the component's design absolute elevation is 4.5 meters, the radial span of the cross-section is determined by the polygon contour peak-finding algorithm to be 0.8 meters horizontally, and the longitudinal extension length is determined by taking the absolute value of the difference between the endpoint coordinates to be 6.2 meters.

[0023] The shape and volume calculation submodule is based on the component's three-dimensional scale parameter table. It calls the preset engineering quantity calculation rules deduction logic, performs volume deduction and spatial shape conversion for the intersecting nodes of each type of component, and generates the component's spatial shape quantity calculation value. Based on the three-dimensional dimension parameter table of the components, the radial span and longitudinal extension length of each component's cross-section are read, and the preset engineering quantity calculation rules are called to deduct logic; the radial span of the cross-section is squared to obtain the standard cross-sectional area value, and the standard cross-sectional area value is multiplied by the longitudinal extension length to obtain the initial outer envelope geometric volume parameter; the overlapping volume parameter of adjacent related components is extracted, the volume deduction logic of the intersection nodes of each type of component is executed, the overlapping volume parameter of adjacent related components is subtracted from the initial outer envelope geometric volume parameter, and spatial morphology conversion is performed to generate the spatial morphology quantity value of the independent entity component. For example, if the radial span of the cross section is 0.8 meters and the standard cross-sectional area obtained by the self-square operation is set to 0.64 square meters, multiplying it by the longitudinal extension length of 6.2 meters yields an initial outer envelope geometric volume parameter of 3.968 cubic meters. If the overlapping volume parameter of adjacent related components extracted by the mesh integration operation is 0.168 cubic meters, subtracting 0.168 cubic meters from 3.968 cubic meters derives a component spatial form calculation value of 3.800 cubic meters.

[0024] Specifically, such as Figure 2 , 4 As shown, the construction engineering consumption quota addressing module includes: The component attribute quota catalog retrieval submodule retrieves pricing quota guidelines published by local cost management stations based on the structural material category and construction operation identifier in the component spatial shape quantity calculation value, and generates a quota number association mapping chain. The process involves extracting the underlying material attribute dictionary and construction method feature code from the spatial morphology calculation values ​​of structural components. The underlying material attribute dictionary is analyzed to identify the structural material category, and the construction method feature code is decoded to clarify the corresponding construction operation identifier. The structural material category and construction operation identifier are combined into a joint query primary key. This is then accessed through a cloud-based read-only copy of the pricing quota guidelines published by the local cost management station. A depth-first traversal search is performed in the multidimensional index tree of the cloud-based read-only copy to locate the quota standard clause that perfectly matches the joint query primary key. The unique legal quota item code and corresponding version number timestamp attached to the clause are extracted. A one-to-one pointer link is established between the unique identification code of the structural component and the legal quota item code, generating a quota number association mapping chain with traceability characteristics. For example, if the analyzed structural material category is high-strength pumped concrete and the construction operation identifier is mechanical vibration pouring, this is combined into a joint query primary key. The corresponding legal quota item code is found to be 10245. A quota number association mapping chain is then established between the current component identification code and 10245.

[0025] The material quota matching submodule extracts the unit main material loss standard, auxiliary material ratio limit and differentiated chemical type quota man-day under the key quota item based on the quota number association mapping chain, and generates unit project quota consumption parameters. The standard for loss of main materials per unit under the key quota item refers to the material details included in the parsing quota number association mapping chain, obtaining the absolute physical loss value of the core main construction materials that exceed the preset loss rate threshold, and thus obtaining the standard for loss of main materials per unit under the key quota item. The system receives the quota number association mapping chain, and executes an on-demand retrieval command in the quota detail consumption database according to the legal quota item code in the chain to extract the standard consumption coefficient of the core main construction materials specified under the key quota details; it compares the standard consumption coefficient of the core main construction materials with the preset loss rate threshold to calculate the difference ratio exceeding the preset loss rate threshold; it multiplies the difference ratio by the absolute basic physical consumption base to obtain the absolute physical loss value; it adds the absolute physical loss value to the absolute basic physical consumption base to obtain the standard loss per unit of main material under the key quota details; it extracts the auxiliary material ratio limit parameters for auxiliary consumable categories, as well as the differentiated quota man-day parameters for laborers at different technical levels; it then structurally assembles the standard loss per unit of main material, the auxiliary material ratio limit parameters, and the differentiated quota man-day parameters to generate the unit project quota consumption parameters. The preset loss rate threshold is set to 0.03. If the standard consumption coefficient of the core main building materials is extracted to be 1.05, the absolute basic physical consumption base is set to 100 kg, the excess part is 1.05 minus 1.03 to get 0.02, the absolute physical loss value is 100 kg multiplied by 0.02 equals 2 kg, the standard loss per unit of main material is 102 kg, the auxiliary material ratio limit parameter is extracted to be 5 kg, and the quota man-day parameter for differentiated chemical types is extracted to be 0.5 working days.

[0026] The resource consumption extrapolation submodule, based on the unit project quota consumption parameters, introduces the component spatial form quantity calculation value into the quota consumption benchmark for equivalent extrapolation calculation of the project's physical scale, generating a dataset of physical project resource consumption benchmark quantity. Based on the unit project quota consumption parameters, the component spatial form quantity calculation value is extracted as a multiplier factor for the project's physical scale. The multiplier factor is then introduced into the quota consumption benchmark for equivalent extrapolation calculation of the project's physical scale. The component spatial form quantity calculation value is multiplied item by item with the standard loss per unit of main material, the auxiliary material ratio limit parameter, and the differentiated quota man-day parameter, outputting the theoretical resource demand estimate for the corresponding physical total quantity. The theoretical resource demand estimates for all dimensions are summarized into a multidimensional array matrix. For example, when the component spatial form quantity calculation value is 10 units of measurement, it is multiplied by the standard loss per unit of main material of 102 kg to extrapolate the theoretical total usage of core main material to 1020 kg. Multiplying it by the auxiliary material ratio limit parameter of 5 kg yields the total demand for 50 kg of auxiliary materials, and multiplying it by 0.5 differentiated quota man-days yields the demand for 5 standard working days. These three values ​​together constitute the physical project resource consumption benchmark dataset.

[0027] Specifically, such as Figure 2 , 5 As shown, the cost composition module for sub-items of the project includes: The construction factor market price search and control submodule is based on the benchmark dataset of resource consumption of physical engineering projects. It accesses the building materials market price inquiry network and cost information journal database to extract the guidance price of rebar, the landed price of commercial concrete and the unit price of professional labor shifts, and generates the base period price of construction factor costs. Based on the material and labor classification labels covered by the benchmark dataset of physical engineering resource consumption, the system periodically accesses the regional building materials market inquiry network server and the online cloud database of cost information journals via a distributed application programming interface (API) protocol. It captures legally valid publicly available transaction data records from the past 30 calendar days, extracting the guidance price values ​​for specific specifications of steel, the landed price values ​​for specific strength grades of concrete, and the unit price values ​​for specific technical trades' labor shifts from the cleaned transaction records. The three core price indicators are then weighted and averaged according to time decay weights to output smoothed benchmark price parameters, generating the base period price for construction element costs. For example, the weight of data 1 to 10 days from the current date is set to 0.5, 11 to 20 days to 0.3, and 21 to 30 days to 0.2. If the recent guidance prices for rebar are 4000 yuan per ton, 3900 yuan per ton, and 3800 yuan per ton respectively, the weighted average calculation yields a smoothed base period price of 3930 yuan per ton.

[0028] The resource unit price and rate composite aggregation submodule is based on the base period price of construction element cost, and performs quantity and price integration accounting with the benchmark data of physical project resource consumption, and adds the upper and lower level rates and construction equipment depreciation allocation to generate a price list for each type of construction resource; Based on the base period prices of construction element costs, the system reads the total theoretical usage of various resources recorded in the benchmark data set of physical project resource consumption. It then performs a multiplication operation between the total theoretical usage of each resource and the corresponding base period price of the construction element costs to obtain the pure basic cost amount for each resource, completing the basic-level quantity-price integration accounting. The system extracts the enterprise management fee rate coefficients, profit rate coefficients, and value-added tax rate coefficients specified in the local cost standard database. It also extracts the depreciation usage time of machinery shifts and the unit-time allocation benchmark amount specified in the construction organization design plan. The system then multiplies each pure basic cost amount by various rate coefficients to obtain the surcharge amount, and multiplies the depreciation usage time of machinery shifts by the unit-time allocation benchmark amount to obtain the depreciation allocation amount for construction machinery. Finally, it performs a summation operation on the pure basic cost amount, various surcharge amounts, and the depreciation allocation amount for construction machinery to generate a detailed pricing list for each type of construction resource that includes all costs and expenses. For example, the theoretical total consumption of rebar is 10 tons, and the base period smoothed price is 3930 yuan per ton. Multiplying these together, the pure basic construction cost is 39300 yuan. The comprehensive rate coefficient of the enterprise's upper and lower levels is set at 0.15. The surcharge amount is 39300 multiplied by 0.15, which equals 5895 yuan. If the depreciation usage time of the machinery is 20 hours, the unit time allocation benchmark amount is 50 yuan, and the depreciation allocation amount of the construction machinery is 1000 yuan, then adding 39300 yuan, 5895 yuan, and 1000 yuan, we get a total resource pricing detail of 46195 yuan.

[0029] The sub-module for integrating the cost benchmark for itemized control is based on the pricing details of each type of construction resource, performs cross-level cost aggregation of differentiated professional subcontracting details, and introduces the regional market risk reserve coefficient to solidify the bottom line price, thus establishing the target itemized control price baseline. The system receives all output pricing details for each type of construction resource, and performs cumulative aggregation operations on tree nodes according to the hierarchical relationship of sub-items to achieve cross-level aggregation of the cost of differentiated professional subcontracting projects, obtaining the initial cost amount of each sub-item. It then extracts the regional market risk reserve coefficient published by the local macroeconomic database, multiplies the initial cost amount of each sub-item by the regional market risk reserve coefficient to obtain the risk redundancy reserve fund. Finally, it adds the initial cost amount of each sub-item to the risk redundancy reserve fund for bottom-line price consolidation. The regional market risk reserve coefficient is set to 0.05. If the initial cost amount of a certain earthwork project calculated through cross-level aggregation is 200,000 yuan, it is multiplied by the regional market risk reserve coefficient of 0.05 to calculate the risk redundancy reserve fund of 10,000 yuan. Then, 200,000 yuan and 10,000 yuan are added to generate a target sub-item control price baseline of 210,000 yuan.

[0030] Specifically, such as Figure 2 , 6 As shown, the construction project cost overrun monitoring and control module includes: The construction materials and labor ledger loss verification submodule extracts the material settlement sheet warehouse entry details, concrete truck receipt slips and labor team real-time settlement sheets from the construction section corresponding to the target sub-item control price baseline, and generates real-time cost items incurred during the construction phase. The system monitors the data event stream of the enterprise-level financial management platform to identify the specific construction section code corresponding to the baseline of the target component control price; based on the construction section code, it sends periodic retrieval requests to the warehouse management database to extract detailed warehouse entry data of material settlement sheets confirmed by on-site material specialists through scanning; it sends data docking requests to the mixing plant collaboration platform to extract concrete truck receipt data including license plate number, net weight on weighbridge, and receipt time; it obtains clock-in time data from the on-site labor real-name access control system and combines it with the real-time settlement sheet data of the labor teams generated by the human resources platform; it performs field cleaning and format unification operations on the three types of discrete bill data, performs cumulative summation logical operations on the actual expenditure amounts belonging to the same statistical period, and generates real-time expense items for the construction stage that reflect the actual on-site capital consumption level. For example, in the first monitoring cycle, the cumulative amount of the warehouse receipt details of the material settlement sheet was 45,000 yuan, the total converted cost of the concrete truck receipt was 12,000 yuan, and the total amount of the real-time settlement sheet of the labor team was 28,000 yuan. Summing up the three values ​​of 45,000, 12,000 and 28,000, the total construction cost item was 85,000 yuan.

[0031] The budget baseline and loss offsetting submodule is based on the real-time cost items incurred during the construction phase. It reviews the cost occurrence in the current performance cycle, performs cost quota offsetting calculations against the target sub-item control price baseline, and generates the cost item amount profit and loss difference flow. The system receives real-time cost data during the construction phase, synchronously extracts the baseline numerical parameters of the target sub-item control price under the corresponding work process node from the database, and reviews the cost occurrence in the current performance cycle. It performs a cost quota offsetting operation by subtracting the amount of real-time cost items during the construction phase from the baseline value of the target sub-item control price. Based on the positive or negative attribute and absolute value of the subtraction result, it determines the current cost control status. If the calculation result is positive, it is determined to be a budget surplus; if the calculation result is negative, it is determined to be a budget overrun. The difference amount obtained from each offsetting operation is added to the cost change tracking matrix according to the time series attribute, generating the cost item amount profit and loss difference flow. If the baseline value of the target sub-item control price specifies that the planned budget for the current performance period is 80,000 yuan, and the total real-time cost items incurred during the construction phase are calculated to be 85,000 yuan, then subtracting 85,000 yuan from 80,000 yuan yields a result of -5,000 yuan, which is recorded as a single-point overspending difference of 5,000 yuan. This record value of -5,000 yuan is stored in the cost item amount profit and loss difference flow data center.

[0032] The core construction process cost deviation measurement submodule identifies and anchors the construction actions of sub-items that frequently exceed the budget based on the profit and loss difference flow of the cost item quota, calculates the erosion ratio of the overall construction cost of a single item over budget, and generates the core construction process cost deviation degree. The erosion ratio of a single overspending item on the overall construction and installation cost is calculated by locating the overspending item difference from the profit and loss difference flow of the cost item quota, dividing the overspending item difference by the preset cost plate benchmark value, and obtaining the quotient result of the numerical calculation as the erosion ratio. The system reads the cost item profit and loss difference flow dataset, traverses all records, identifies and anchors construction actions that show negative values ​​and occur more than a set number of times, and accurately locates the absolute value of the overspending difference corresponding to the specific process from the cost item profit and loss difference flow. It then reads the preset cost plate benchmark value stored in the global cost database, divides the absolute value of the overspending difference by the preset cost plate benchmark value, and obtains the quotient as the erosion ratio parameter. Finally, it calculates the absolute erosion ratio of a single overspending item on the overall construction cost plate, generating a core construction process cost deviation degree that quantifies the risk level. The preset cost base value is set at 5,000,000 yuan. The absolute value of the overspending difference corresponding to the concrete pouring process identified in the preceding process is 50,000 yuan. The division operation is performed by dividing 50,000 yuan by 5,000,000 yuan, and the quotient result is 0.01. The erosion ratio of a single overspending item on the overall construction cost base is set at 1%. The 1% data result is directly used as the core construction process cost deviation output.

[0033] Specifically, such as Figure 2 , 7 As shown, the peak-shaving module for fund flows during the performance process includes: The material and machinery procurement peak prediction submodule tracks the rate of capital consumption during the peak period of large building materials arrival based on the cost deviation of core construction procedures, analyzes the pressure points of existing funds in the process flow, and generates a time series table of supply chain capital gaps. Extract the cost deviation data list of core construction procedures and parse and read the critical path method construction schedule Gantt chart file from the project planning management software interface; based on the severe overspending tendency index in the cost deviation of core construction procedures, locate the corresponding high-density time window for the planned arrival of major core building materials on the Gantt chart; within this time window, read the daily planned material procurement quantity and multiply it by the current material market unit price to track the capital consumption rate index during the peak period of major building material arrival; read the current available stock of funds balance parameter in the project's dedicated basic account, subtract the current available stock of funds balance parameter from the expected cumulative capital consumption in a specific future time window, and analyze the pressure point and pressure level of stock funds in the subsequent process flow; output the capital shortage forecast data sequentially according to the calendar timeline to generate a supply chain capital gap time series table with forward-looking early warning attributes. It is predicted that on the 10th day, the total amount of funds consumed will reach 800,000 yuan due to the concentrated arrival of large steel components. The current available stock of funds is 500,000 yuan. The module subtracts 500,000 yuan from 800,000 yuan and derives the pressure point funding gap of 300,000 yuan. The peak gap of 300,000 yuan is recorded and written into the corresponding time node position in the supply chain funding gap time series table.

[0034] The progress payment leverage range adjustment submodule is based on the supply chain funding gap time series table. It extracts the visa claim confirmation form and performance progress assessment form for each subcontracted project, adjusts the progress payment ratio and node retention amount, and generates the subcontracted carry-over fund payment limit. Based on the early warning information of funding pressure nodes presented in the supply chain funding gap time series table, a query request is sent to the subcontract execution management platform; the cumulative verified amount parameters of the visa claim confirmation forms associated with each subcontracted project and the quality score parameters in the performance image progress assessment table are extracted; according to the extracted parameters, the progress payment ratio is dynamically adjusted down near the funding shortage node according to the basic payment ratio adjustment framework agreed in the contract, and the retention ratio is adjusted up; the total amount to be settled in this period is multiplied by the adjusted progress payment ratio to calculate and generate the controlled issuance limit for the actual subcontracted settlement funds in this period. The original total settlement amount for a subcontracted project was 200,000 yuan, with an original progress payment ratio of 0.8. If it is detected that the current period is a high-pressure period in the funding gap schedule and the subcontractor's quality score parameters are not up to standard, the progress payment ratio parameter will be lowered from 0.8 to 0.6, and the node retention quota ratio will be increased from 0.2 to 0.4. Multiplying 200,000 yuan by the adjusted ratio of 0.6 yields a calculation result of 120,000 yuan, which becomes the newly generated subcontracted carryover fund payment limit.

[0035] The project funding peak and valley stabilization control submodule is based on the subcontracted carry-over fund disbursement limit and the supply chain funding gap time series table. It coordinates the overall revenue and expenditure period difference of the project, matches factoring financing or deferred payment strategies, and establishes a project funding peak and valley stabilization control strategy. Obtain the list of subcontracted fund transfer payment limits and simultaneously retrieve the supply chain funding gap timeline; compare the estimated total outflow of funds at each node within the next quarter with the expected arrival time of the project payment promised by the owner, and take into account the overall payment period difference days for the project; when the payment period difference days are greater than 0 and an absolute rigid funding gap is predicted, the module calculates the short-term borrowing cost and the amount of overdue penalty, and compares the two; if the penalty is greater than the borrowing cost, a supply chain factoring financing recommendation strategy instruction is triggered; if the penalty is less than the borrowing cost, a strategy instruction to send a deferred payment negotiation letter to a specific supplier is triggered; based on the comprehensive judgment of the actions, a project funding peak and valley smoothing control strategy is established.

[0036] The overall calculation shows that the time difference between the payment and receipt period at a certain node is 15 days, with a rigid funding gap of 300,000 yuan. The short-term borrowing cost for 15 days is calculated at a daily interest rate of 0.1%, which is 4,500 yuan. The late payment will result in a total overdue penalty of 10,000 yuan. The comparison shows that 10,000 yuan is greater than 4,500 yuan. Therefore, the factoring financing recommendation strategy is automatically determined and output as the highest priority project funding peak and valley smoothing control strategy.

[0037] Please see Figure 8 The intelligent cost calculation and control method for engineering projects is implemented based on the aforementioned intelligent cost calculation and control system for engineering projects, and includes the following steps: S1: Based on the component annotation information in the architectural engineering plan, extract the geometric dimension parameters of columns, beams, slabs and walls, perform the product logic processing of length, width and height, analyze the correspondence between component type and volume value, and generate a component spatial form quantity calculation table. S2: Based on the component spatial form quantity calculation table, retrieve the quota number in the building engineering consumption quota database, extract the material consumption index and labor quota index per unit volume, perform the multiplication mapping between volume value and consumption index, and generate the physical engineering resource consumption benchmark dataset. S3: Based on the benchmark dataset of physical engineering resource consumption, map the material guidance price and labor shift unit price specified in the quota library, and adjust the unit price according to the preset market price fluctuation frequency. Perform the cumulative summary of each physical quantity and the adjusted unit price to establish the target sub-item control price baseline model. S4: Based on the target component control price baseline model, collect the actual measured data of material arrival and labor attendance from the construction site, compare the real-time expenditure values ​​with the target component control price baseline model, and generate the cost deviation of the core construction process. S5: Based on the cost deviation of core construction procedures, analyze the intensity of capital demand during peak material arrival periods, adjust the matching path between procurement plans and payment nodes, and generate a peak-valley control strategy for project capital.

[0038] The above embodiments illustrate preferred embodiments of the present invention. Any equivalent adjustments to the technical solution based on software engineering methods are within the scope of protection, including but not limited to: implementing algorithm logic using different programming languages, refactoring functional modules into services, adjusting data interaction protocols, and optimizing resource scheduling strategies. Any implementation scheme derived from reasonable modifications to the data processing flow, service call chain, or system architecture layer without departing from the core technology of the present invention should be considered within the protection scope defined by the technical solution of the present invention.

Claims

1. An intelligent engineering cost calculation and cost control system, characterized in that, The system includes: The 3D component spatial analysis module extracts the geometric boundary parameters of the load-bearing structure and the enclosure structure based on the spatial topological relationship of the elements in the architectural drawings, calculates the 3D spatial shape of the components, and generates the component spatial shape calculation value. The building engineering consumption quota addressing module retrieves the construction area engineering pricing quota specification library based on the component spatial shape quantity calculation value, matches the physical structure benchmark consumption index, performs quantitative conversion of the engineering physical composition, and obtains the physical engineering resource consumption benchmark quantity dataset. The cost pricing module for sub-items of the project is based on the benchmark dataset of resource consumption of the physical project. It maps the base period price of main materials and the guide unit price of labor shifts in the construction element guidance price system, performs quantity-price integration and compound collection of fees and taxes, and establishes the baseline of the target sub-item control price. The construction project cost overrun monitoring and control module compares the construction ledger's list of circulating material consumption with the real-time labor settlement bill based on the target sub-item control price baseline, performs an offset calculation between the recorded amount and the control price baseline, and generates the cost deviation of the core construction process. The performance process cash flow peak-shaving module tracks the payment nodes of the critical path supply chain and the performance progress of subcontractors based on the cost deviation of the core construction process, calculates the cash gap of unfinished projects and the premium of material price fluctuation options, and generates a project cash flow peak-valley smoothing and control strategy.

2. The intelligent engineering cost calculation and cost control system according to claim 1, characterized in that: The quantity calculation values ​​for the spatial form of the components include the volume of core tube concrete, the cross-sectional volume of load-bearing columns, the area of ​​precast slabs, and the spatial volume of shear walls. The data transfer of the benchmark quantity of resource consumption for the physical project includes the tonnage of main reinforcement binding, the cubic volume of pumped concrete pouring, the amount of masonry mortar mixed, and the total consumption of standard man-days. The baseline of the target sub-item control price includes the main material cost limit, the measure item cost, the general contractor management fee, and the provisional sum adjustment item. The cost deviation of the core construction process includes the deviation value of steel over-loss and efficiency reduction, the deviation value of labor idleness and over-cost, and the overflow rate of idle machinery costs. The peak and valley smoothing control strategy for project funds includes the timing of batch allocation, the deduction node of subcontractor progress payment, the supply chain finance factoring scheme, and the performance bond release plan.

3. The intelligent engineering cost calculation and cost control system according to claim 1, characterized in that: The three-dimensional component space analysis module of the drawing includes: The component boundary contour topology recognition submodule identifies the physical boundary connectivity of load-bearing columns, frame beams, floor slabs, and shear walls based on the underlying element framework of the architectural drawings, summarizes the associated attributes of structural intersection nodes, and generates a component spatial topology node set. The structural elevation and section parameter extraction submodule extracts the design absolute elevation, cross-sectional radial span and longitudinal extension length of each type of structural component in the architectural coordinate system based on the component spatial topology node set, and generates a three-dimensional dimension parameter table of the component. The morphology and volume calculation submodule, based on the three-dimensional scale parameter table of the component, calls the preset engineering quantity calculation rules deduction logic, performs volume deduction and spatial morphology conversion of the intersecting nodes of each type of component, and generates the spatial morphology calculation value of the component.

4. The intelligent engineering cost calculation and cost control system according to claim 3, characterized in that: The construction engineering consumption quota addressing module includes: The component attribute quota catalog retrieval submodule retrieves pricing quota guidelines issued by local cost management stations based on the structural material category and construction operation identifier in the component spatial form quantity calculation value, and generates a quota number association mapping chain. The material quota matching submodule extracts the unit main material loss standard, auxiliary material ratio limit and differentiated chemical type quota man-day under the key quota item based on the quota number association mapping chain, and generates unit project quota consumption parameters. The resource consumption extrapolation submodule, based on the unit project quota consumption parameters, introduces the component spatial shape quantity calculation value into the quota consumption benchmark for equivalent extrapolation calculation of the project's physical scale, generating a dataset of physical project resource consumption benchmark quantities.

5. The intelligent engineering cost calculation and cost control system according to claim 4, characterized in that: The standard for loss of main materials per unit under the key quota item refers to the material details included in the parsing quota number association mapping chain, obtaining the absolute physical loss value corresponding to the core main construction materials that exceed the preset loss rate threshold, and thus obtaining the standard for loss of main materials per unit under the key quota item.

6. The intelligent engineering cost calculation and cost control system according to claim 4, characterized in that: The cost estimation module for each sub-item of the project includes: The construction factor market price search and control submodule, based on the benchmark dataset of resource consumption of the physical project, accesses the building materials market price inquiry network and cost information journal database to extract the guidance price of rebar, the landed price of commercial concrete and the unit price of professional labor shifts, and generates the base period price of construction factor costs. The resource unit price and rate composite aggregation submodule is based on the base period price of the construction element cost, and performs quantity and price fusion accounting with the benchmark quantity dataset of physical project resource consumption, and adds the upper and lower level rates and the depreciation allocation of construction machinery and equipment to generate a detailed pricing list for each type of construction resource; The sub-module for integrating the cost benchmark for each type of construction resource pricing details performs cross-level cost aggregation of differentiated professional subcontracting details, and introduces the regional market risk reserve coefficient to solidify the bottom-line price, thus establishing the target sub-item control price baseline.

7. The intelligent engineering cost calculation and cost control system according to claim 6, characterized in that: The construction project cost overrun monitoring and control module includes: The construction materials and labor ledger loss verification submodule, based on the construction section corresponding to the target sub-item control price baseline, extracts material settlement sheet warehouse entry details, concrete truck receipt slips and labor team real-time settlement sheets, and generates real-time cost items incurred during the construction phase. The budget baseline and loss offsetting submodule, based on the real-time cost items incurred during the construction phase, reviews the cost occurrences during the current performance period, performs cost quota offsetting calculations against the target sub-item control price baseline, and generates a cost item amount profit and loss difference flow. The core construction process cost deviation measurement submodule identifies and anchors frequently over-budget sub-items based on the profit and loss difference flow of the cost items, calculates the erosion ratio of individual over-budget items on the overall construction cost, and generates the core construction process cost deviation.

8. The intelligent engineering cost calculation and cost control system according to claim 7, characterized in that, The erosion ratio of a single overspending item on the overall construction cost refers to the percentage of the overspending item located from the profit and loss difference flow of the cost items, the overspending difference divided by a preset cost base value, and the quotient obtained as the erosion ratio.

9. The intelligent engineering cost calculation and cost control system according to claim 7, characterized in that: The cash flow peak-shaving module for the performance process includes: The material and machinery procurement funding peak prediction submodule tracks the funding consumption rate during the peak period of large building materials arrival based on the cost deviation of the core construction process, analyzes the pressure points of existing funds in the process flow, and generates a supply chain funding gap time series table. The progress payment leverage range adjustment submodule, based on the supply chain funding gap timeline, extracts the visa claim confirmation form and performance progress assessment form for each subcontracted project, adjusts the progress payment ratio and node retention amount, and generates the subcontracted carry-over fund payment limit. The project funding peak and valley stabilization control submodule, based on the subcontracted carry-over fund allocation limit and the supply chain funding gap time series table, coordinates the overall project's revenue and expenditure time difference, matches factoring financing or deferred payment strategies, and establishes a project funding peak and valley stabilization control strategy.

10. A method for intelligent calculation and cost control of engineering costs, characterized in that, The execution of the intelligent engineering cost calculation and cost control system according to any one of claims 1-9 includes the following steps: S1: Based on the component annotation information in the architectural engineering plan, extract the geometric dimension parameters of columns, beams, slabs and walls, perform the product logic processing of length, width and height, analyze the correspondence between component type and volume value, and generate a component spatial form quantity calculation table. S2: Based on the component spatial form quantity calculation table, retrieve the quota number in the building engineering consumption quota database, extract the material consumption index and labor quota index per unit volume, perform the multiplication mapping between volume value and consumption index, and generate a data set of benchmark quantity of physical engineering resource consumption. S3: Based on the data set of benchmark quantities of resource consumption of the physical project, map the material guidance price and labor shift unit price specified in the quota library, and adjust the unit price according to the preset market price fluctuation frequency. Perform the summation of each physical quantity and the adjusted unit price to establish a baseline model of the target sub-item control price. S4: Based on the target component control price baseline model, collect the actual material arrival data and actual labor attendance data fed back from the construction site, perform a comparison between the real-time expenditure value and the target component control price baseline model, and generate the core construction process cost deviation. S5: Based on the cost deviation of the core construction process, analyze the intensity of capital demand during peak material arrival periods, adjust the matching path between procurement plans and payment nodes, and generate a peak-valley control strategy for project funds.

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