Engineering project output value determination method and device, electronic equipment and storage medium

Abstract

The invention provides an engineering project output value determination method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining project production data of an engineering project; determining a resource dependency relationship based on the sub-key features of the sub-projects and the progress of the sub-projects, and obtaining a correlation degree matrix corresponding to the sub-projects; according to the stage production data, the estimated project amount and the planned production resources of each sub-project, determining the actual project amount of each sub-project in the corresponding preset production stage; the actual total output value of the engineering project in the current production stage is determined according to the actual engineering amount, the sub-project weight and the planned output value of the at least one active project, the active project is used for representing the sub-project being constructed in the current production stage, and the sub-project weight is obtained based on the correlation degree matrix; according to the method, the association degree matrix and the actual project amount corresponding to the sub-project are updated in real time, so that the actual total output value of the project is determined more accurately, and the effectiveness and scientificity of project management are improved.

Description

Technical Field

[0001] This invention relates to the field of engineering management technology, and in particular to a method, apparatus, electronic device and storage medium for determining the output value of an engineering project. Background Technology

[0002] Construction engineering projects include building construction, municipal public works, decoration and renovation, and old building renovation. These projects typically involve foundation construction, main structure construction, and decoration and renovation. Due to their large scale, wide range of specializations, and numerous tasks, calculating the output value of these projects is extremely complex and directly impacts project cost control, resource allocation, and decision-making.

[0003] In related technologies, output value calculation faces numerous technical challenges. Due to the complex cost structure of each stage of an engineering project, and the influence of market fluctuations and changes in construction techniques, it is difficult to guarantee the objectivity and accuracy of output value calculation. Discrepancies exist between worker labor measurements and actual total output value, making it difficult to accurately match labor input with output, easily leading to distorted output value accounting. Furthermore, while material consumption, time consumption, and quality pass rates play important auxiliary roles in output value calculation, it is difficult to comprehensively and accurately quantify them, resulting in a discrepancy between the calculated value and the actual value, weakening the scientific nature and effectiveness of project management. In addition, in construction projects, the correlation between sub-projects significantly affects output value calculation, but due to the lack of dynamic tracking and quantitative analysis, output value is often overestimated or underestimated, failing to reflect the true value of the project. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and storage medium for determining the output value of engineering projects, in order to solve the aforementioned technical problem of difficulty in accurately calculating the output value of engineering projects.

[0005] This invention provides a method for determining the output value of an engineering project. The method includes: acquiring project production data of the engineering project, wherein the project production data includes sub-key features of multiple sub-projects, sub-project planning information, and at least one stage production data, wherein the sub-project planning information includes estimated workload, planned production resources, and planned output value, and the stage production data is used to characterize the actual production data of the sub-project in at least one preset production stage; determining resource dependencies based on the sub-key features and progress of each sub-project to obtain a correlation matrix between each sub-project; determining the actual workload of each sub-project in the corresponding preset production stage based on the stage production data, estimated workload, and planned production resources of each sub-project; and determining the actual total output value of the engineering project in the current production stage based on the actual workload of at least one active project, sub-project weights, and planned output value, wherein the active project characterizes the sub-projects under construction in the current production stage, and the sub-project weights are obtained based on the correlation matrix.

[0006] In one embodiment of the present invention, determining the actual workload of the sub-project in a corresponding preset production stage based on the stage production data, estimated workload, and planned production resources of the sub-project includes: determining multiple production resource coefficients based on the gap between the planned production resources and the stage production data, each of the production resource coefficients including a material consumption ratio, a labor efficiency coefficient, and an equipment efficiency coefficient; determining a production volume coefficient based on each of the production resource coefficients and a corresponding preset resource weight coefficient; determining a quality correction coefficient based on a comparison result between a preset first correction coefficient and an estimated correction coefficient, the estimated correction coefficient being obtained based on the stage production data; and determining the actual workload of the sub-project in the corresponding preset production stage based on the estimated workload, the production volume coefficient, and the quality correction coefficient.

[0007] In one embodiment of the present invention, determining a quality correction coefficient based on a comparison between a preset first correction coefficient and an estimated correction coefficient includes: determining a pass / fail ratio coefficient for each preset checkpoint based on the ratio between the actual number of defects at each preset checkpoint in the stage production data and the corresponding preset defect allowable threshold; determining an estimated correction coefficient based on a preset rework coefficient and the pass / fail ratio coefficients of each preset checkpoint; and determining the maximum value between the preset first correction coefficient and the estimated correction coefficient as the quality correction coefficient.

[0008] In one embodiment of the present invention, resource dependencies are determined based on the sub-key features and progress of each sub-project to obtain a correlation matrix between each sub-project. This includes: determining multiple resource dependency indicators between any two sub-projects based on the sub-key features of each sub-project, where each dependency indicator includes process dependency, spatial overlap, and resource sharing rate; determining the resource dependency degree between any two sub-projects based on each resource dependency indicator and a corresponding preset dependency weight coefficient; determining each time decay coefficient based on a preset decay coefficient and the time proportion of each sub-project, where the time proportion is based on the ratio of the time already consumed by the sub-project to the planned total time; determining the sub-project dependency degree between any two sub-projects based on the ratio of each resource dependency degree to the total resource dependency degree and the corresponding time decay coefficient; and determining a correlation matrix based on the sub-project dependencies.

[0009] In one embodiment of the present invention, the preset dependency weight coefficients corresponding to each resource dependency index are obtained by hierarchical analysis based on the type of the sub-project and the corresponding historical engineering data; the preset attenuation coefficients are determined based on the type of the sub-project, the corresponding historical engineering data and the preset theoretical attenuation model; wherein, the project production data includes the historical engineering data.

[0010] In one embodiment of the present invention, acquiring project production data for an engineering project includes: acquiring total project reference data for the engineering project, the total project reference data including construction reference data and cost reference data; performing image recognition on the construction reference data to obtain text data; extracting features from the text data according to multiple preset key feature types to obtain multiple project key features, each of the project key features including structural type features, material characteristic features, construction process features, personnel configuration features, and equipment requirement features; decomposing the engineering project based on the logical relationship between each of the project key features and the cost reference data to obtain sub-key features of multiple sub-projects; and determining sub-project plan information for each sub-project based on the cost reference data and the sub-key features of each sub-project.

[0011] In one embodiment of the present invention, determining the sub-project plan information of the sub-project based on the cost reference data and the sub-key features of the sub-project includes: determining the estimated quantity of the sub-project based on the quantity correction coefficient and the basic geometric parameters, wherein the quantity correction coefficient is used to characterize at least one corresponding correction amount among design changes, construction plan changes, construction losses, and process complexity, and the basic geometric parameters and the quantity correction coefficient are obtained based on the sub-key features; and / or, determining the construction unit price based on the labor unit price, material unit price, and machine shift unit price, and determining the planned output value of the sub-project based on the comprehensive rate coefficient, the construction unit price, and the estimated quantity of the sub-project, wherein the comprehensive rate coefficient is used to characterize at least one corresponding correction amount among management fees, profits, regulatory fees, and taxes, and the labor unit price, the material unit price, the machine shift unit price, and the comprehensive rate coefficient are obtained based on the cost reference data.

[0012] This invention provides an apparatus for determining the output value of an engineering project. The apparatus includes: a data acquisition module for acquiring project production data of an engineering project, the project production data including sub-key features of multiple sub-projects, sub-project planning information, and at least one stage production data, the sub-project planning information including estimated workload, planned production resources, and planned output value, and the stage production data used to characterize the actual production data of the sub-project in at least one preset production stage; a correlation degree determination module for determining resource dependencies based on the sub-key features and progress of each sub-project to obtain a correlation degree matrix between each sub-project; an actual workload determination module for determining the actual workload of each sub-project in the corresponding preset production stage based on the stage production data, estimated workload, and planned production resources of each sub-project; and a project output value determination module for determining the actual total output value of the engineering project in the current production stage based on the actual workload of at least one active project, sub-project weights, and planned output value, the active project being used to characterize the sub-projects under construction in the current production stage, and the sub-project weights being obtained based on the correlation degree matrix.

[0013] The present invention provides an electronic device comprising: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device enables the method for determining the output value of an engineering project as described in any of the above embodiments.

[0014] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a computer processor, causes the computer to perform the method for determining the output value of an engineering project as described in any of the above embodiments.

[0015] The beneficial effects of the present invention are as follows: The present invention proposes a method, device, electronic device and storage medium for determining the output value of an engineering project. By updating the correlation matrix in real time through the sub-key features and progress of each sub-project, the latest sub-project weights can be obtained. Furthermore, by dynamically updating the actual workload of the sub-projects, the actual total output value of the engineering project can be determined more accurately, thereby improving the effectiveness and scientific nature of project management. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0017] In the attached diagram:

[0018] Figure 1 A schematic diagram of an exemplary system architecture provided in an embodiment of the present invention;

[0019] Figure 2 This is a flowchart illustrating a method for determining the output value of an engineering project according to an embodiment of the present invention.

[0020] Figure 3 This is a block diagram of an engineering project output value determination device provided in one embodiment of the present invention;

[0021] Figure 4 This is a schematic diagram of the structure of a computer system for an electronic device provided in one embodiment of the present invention. Detailed Implementation

[0022] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0023] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. The drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0024] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0025] Please see Figure 1 , Figure 1 This is a schematic diagram of an exemplary system architecture provided in an embodiment of the present invention. Figure 1 As shown, the system architecture may include a data acquisition device 110 and a computer device 120. The computer device 120 may be at least one of a general-purpose computer, a cloud server, or a neural network computer. The data acquisition device 110 is used to collect actual production data from the engineering project and transmit it to the computer device to determine the project's output value.

[0026] For example, computer device 120 acquires project production data for an engineering project. The project production data includes sub-key features of multiple sub-projects, sub-project planning information, and production data for at least one stage. The sub-project planning information includes estimated workload, planned production resources, and planned output value. The stage production data is used to characterize the actual production data of a sub-project in at least one preset production stage. Based on the sub-key features and progress of each sub-project, resource dependencies are determined to obtain the correlation matrix between each sub-project. The actual workload of each sub-project in the corresponding preset production stage is determined according to the stage production data, estimated workload, and planned production resources of each sub-project. The actual total output value of the engineering project in the current production stage is determined according to the actual workload of at least one active project, sub-project weight, and planned output value. Active projects are used to characterize sub-projects under construction in the current production stage, and sub-project weights are obtained based on the correlation matrix.

[0027] In related technologies, there is a technical problem that makes it difficult to accurately calculate the output value of engineering projects.

[0028] To address the aforementioned technical problems, this invention provides a method, apparatus, electronic device, and storage medium for determining the output value of engineering projects. The implementation details of the technical solutions of the embodiments of this invention are described in detail below.

[0029] Please see Figure 2 , Figure 2 This is a flowchart illustrating a method for determining the output value of an engineering project according to an embodiment of the present invention. Figure 2 As shown, in an exemplary embodiment, the method for determining the output value of an engineering project includes at least steps S210 to S240, which are described in detail below:

[0030] Step S210: Obtain project production data for the engineering project.

[0031] The project production data includes key features of multiple sub-projects, sub-project planning information, and production data for at least one stage. The sub-project planning information includes estimated workload, planned production resources, and planned output value. The stage production data is used to characterize the actual production data of the sub-project in at least one preset production stage.

[0032] In one embodiment of the present invention, the engineering projects include projects corresponding to building construction projects, municipal public works projects, electromechanical installation projects, steel structure projects, and decoration and renovation projects.

[0033] In one embodiment of the present invention, acquiring project production data for an engineering project includes: acquiring overall project reference data for the engineering project, which includes construction reference data and cost reference data; performing image recognition on the construction reference data to obtain text data; extracting features from the text data according to multiple preset key feature types to obtain multiple project key features, each of which includes structural type features, material property features, construction process features, personnel configuration features, and equipment requirement features; decomposing the engineering project based on the logical relationships between the project key features and the cost reference data to obtain sub-key features for multiple sub-projects; and determining the sub-project plan information for each sub-project based on the cost reference data and the sub-key features of each sub-project.

[0034] In one embodiment of the present invention, the construction reference data includes at least one of the following: project design drawings, construction plan documents, material list, equipment parameter descriptions, and historical project data.

[0035] In one embodiment of the invention, the project design drawings include project structural information. The construction plan document details the process requirements. The bill of materials and equipment parameter specifications correspond to the material requirements and equipment requirements, respectively.

[0036] In one embodiment of the present invention, the cost reference data includes at least one of quota data, historical project data, and historical cost databases in an Enterprise Resource Planning (ERP) system.

[0037] In one embodiment of the present invention, image recognition is performed on construction reference data to obtain text data, including: image recognition is performed on construction reference data to obtain recognition data; the recognition data is preprocessed to obtain text data, wherein the preprocessing includes at least one of noise removal, text standardization, missing value processing, and outlier processing.

[0038] In one embodiment of the present invention, feature extraction is achieved through Natural Language Processing (NLP).

[0039] In one embodiment of the present invention, the engineering project is decomposed based on the logical relationship between the key features of each project and cost reference data to obtain the sub-key features of multiple sub-projects. This includes: decomposing the engineering project based on the logical relationship between the key features of multiple projects, and combining preset standards, expert experience and historical project data to obtain a set of sub-projects with clear boundaries and features, and the sub-key features, estimated workload and planned output value corresponding to each sub-project.

[0040] In one embodiment of the present invention, the logical relationship includes at least one generalized logic such as dependency relationship, parallel relationship, mapping relationship, and subordinate relationship.

[0041] In one embodiment of the present invention, the set of sub-items is P = {SP} i |i=1,2,...,m}, where m is the total number of sub-items. The sub-key features of the i-th sub-item are expressed as SP. i =(S i1 S i2 S i3 S i4 S i5 ), S i1 S represents the structural type characteristic of the i-th sub-item. i2 S represents the material properties of the i-th sub-project. i3 S represents the construction technology characteristics of the i-th sub-project. i4 S represents the personnel configuration characteristics of the i-th sub-project. i5 Let represent the equipment requirement characteristics of the i-th sub-project.

[0042] In one embodiment of the present invention, the sub-key feature representation of the i-th sub-item in the sub-item set is shown as follows:

[0043]

[0044]

[0045] The structure type, material properties, construction technology, personnel configuration, and equipment requirements are identified by structure_type, material_property, construction_tech, labor_config, and equipment, respectively.

[0046] In one embodiment of the present invention, determining the sub-project plan information of a sub-project based on cost reference data and sub-key features of the sub-project includes: determining the estimated quantity of work for the sub-project based on the quantity correction coefficient and basic geometric parameters, wherein the quantity correction coefficient is used to characterize at least one corresponding correction amount among design changes, construction plan changes, construction losses, and process complexity, and the basic geometric parameters and quantity correction coefficient are obtained based on the sub-key features; and / or, determining the construction unit price based on the unit price of labor, the unit price of materials, and the unit price of machinery shifts, and determining the planned output value of the sub-project based on the comprehensive rate coefficient, the construction unit price, and the estimated quantity of work, wherein the comprehensive rate coefficient is used to characterize at least one corresponding correction amount among management fees, profits, regulatory fees, and taxes, and the unit price of labor, the unit price of materials, the unit price of machinery shifts, and the comprehensive rate coefficient are obtained based on cost reference data.

[0047] In one embodiment of the present invention, the estimated amount of work is determined as follows:

[0048] Q i = f(para) × k Equation (1)

[0049] Among them, Q i f(para) represents the estimated quantity of work for the i-th sub-project, f(para) is the initial quantity of work corresponding to the basic geometric parameter para, and k is the quantity correction coefficient.

[0050] In one embodiment of the present invention, the basic geometric parameter para includes at least one of area, length, height, width, etc.

[0051] In one embodiment of the present invention, during the actual construction process of an engineering project, there may be changes to the design scheme and / or construction plan of the process items. Therefore, the estimated engineering quantity can be made more accurate by dynamically adjusting the engineering quantity correction coefficient.

[0052] In one embodiment of the present invention, the engineering quantity correction coefficient can also be dynamically adjusted according to construction losses and / or process complexity to make the estimated engineering quantity more accurate.

[0053] In one embodiment of the present invention, taking concrete engineering as an example, the estimated engineering quantity Q_concrete=Σ(L×W×H)×(1+β), where L is the length of the component, W is the height of the component, H is the width of the component, and β is the loss coefficient, which can be set between 1.5% and 2.5%.

[0054] In one embodiment of the present invention, the planned output value is determined as follows:

[0055] V i =Q i ×(P 人工 +P 材料 +P 机械 Equation (2) is (1+η) × (1+η)

[0056] Among them, V i Let Q be the planned output value of the i-th sub-project. i For the estimated quantity of work for the i-th sub-project, P 人工 P represents the unit price of labor. 材料 P represents the unit price of the material. 机械 η is the unit price per machine shift, and η is the comprehensive rate coefficient.

[0057] In one embodiment of the present invention, taking the sub-project budget of concrete as an example, if the estimated project volume is 500m³ 3 The process for determining its planned output value is as follows:

[0058] Labor cost = 0.8 man-days / m3 ×150 yuan / workday ×500m 3 = 60,000 yuan;

[0059] Material cost = (1.015 × 500) × 450 yuan / m 3 + Template amortization fee = 231,750 yuan;

[0060] Machinery cost = 0.2 machine shifts / month 3 ×800 yuan / shift ×500m 3 =80,000 yuan;

[0061] Direct costs = 60,000 + 231,750 + 80,000 = 371,750 yuan;

[0062] Planned output value = 371,750 × (1 + 8% management fee) × (1 + 5% profit) = 429,884 yuan.

[0063] In one embodiment of the present invention, the actual production data includes material consumption records, labor hour statistics, equipment operation logs, and quality inspection reports. The collected actual production data needs to be standardized.

[0064] Step S220: Determine resource dependencies based on the key features and progress of each sub-project to obtain the correlation matrix between each sub-project.

[0065] In one embodiment of the present invention, resource dependencies are determined based on the key features and progress of each sub-project to obtain a correlation matrix between the sub-projects. This includes: determining multiple resource dependency indicators between any two sub-projects based on the key features of each sub-project, where each dependency indicator includes process dependency, spatial overlap, and resource sharing rate; determining the resource dependency between any two sub-projects based on each resource dependency indicator and the corresponding preset dependency weight coefficient; determining each time decay coefficient based on a preset decay coefficient and the time proportion of each sub-project, where the time proportion is obtained based on the ratio of the time already consumed by the sub-project to the planned total time; determining the sub-project dependency between any two sub-projects based on the ratio of each resource dependency to the total resource dependency and the corresponding time decay coefficient; and determining the correlation matrix based on the dependencies of each sub-project.

[0066] In one embodiment of the present invention, the present invention considers the impact of time on resource dependence, introduces a time decay coefficient, and obtains it based on the progress of sub-projects.

[0067] In one embodiment of the present invention, the sub-item dependency is determined as follows:

[0068]

[0069] Where, ωij Let C be the sub-item dependency of the i-th sub-item on the j-th sub-item. ij Let C be the resource dependency of the i-th sub-project on the j-th sub-project. ik Let m be the resource dependency of the i-th sub-project on the k-th sub-project, and m be the total number of sub-projects. λ is the time decay coefficient, and T is the preset decay coefficient. rat This represents the percentage of time spent on the task.

[0070] In one embodiment of the present invention, the resource dependency is determined as follows:

[0071] C ij =α×process dependence + β×spatial overlap + δ×resource sharing rate (4)

[0072] Among them, C ij Let α be the resource dependency of the i-th sub-project on the j-th sub-project, β be the first preset dependency weight coefficient, δ be the second preset dependency weight coefficient, and α+β+δ=1.

[0073] In one embodiment of the present invention, the preset dependency weight coefficients corresponding to each resource dependency index are obtained by hierarchical analysis based on the type of sub-project and the corresponding historical engineering data; the preset attenuation coefficients are determined based on the type of sub-project, the corresponding historical engineering data and the preset theoretical attenuation model; wherein, the project production data includes historical engineering data.

[0074] In one embodiment of the present invention, a hierarchical analysis of sub-projects is performed by combining expert experience and historical engineering data to obtain resource dependency indicators.

[0075] In one embodiment of the present invention, the preset attenuation coefficient is obtained by combining engineering experience, data analysis, and a preset theoretical attenuation model, and its value ranges from 0.04 to 0.06, with a typical value of 0.05. Furthermore, there is a 5% fluctuation depending on the project type.

[0076] In one embodiment of the present invention, the correlation matrix is ​​determined as follows:

[0077]

[0078] Where W is the correlation matrix, ω 11 ω represents the sub-item dependency of the first sub-item on the first sub-item. 1m ω represents the sub-item dependency of the first sub-item on the m-th sub-item. m1 Let ω be the sub-item dependency of the m-th sub-item on the 1st sub-item. mm Let m be the sub-item dependency of the m-th sub-item on the m-th sub-item.

[0079] In one embodiment of the present invention, if there are changes to the design scheme and / or construction plan of the process item, the sub-key features and sub-project progress of the corresponding sub-project will change accordingly, and the correlation matrix will also change accordingly.

[0080] Step S230: Determine the actual workload of each sub-project in the corresponding preset production stage based on the stage production data, estimated workload and planned production resources of each sub-project.

[0081] In one embodiment of the present invention, determining the actual workload of a sub-project in a corresponding preset production stage based on the sub-project's stage production data, estimated workload, and planned production resources includes: determining multiple production resource coefficients based on the gap between planned production resources and stage production data, each production resource coefficient including a material consumption ratio, a labor efficiency coefficient, and an equipment efficiency coefficient; determining a production volume coefficient based on each production resource coefficient and a corresponding preset resource weight coefficient; determining a quality correction coefficient based on a comparison between a preset first correction coefficient and an estimated correction coefficient, the estimated correction coefficient being obtained based on stage production data; and determining the actual workload of the sub-project in the corresponding preset production stage based on the estimated workload, the production volume coefficient, and the quality correction coefficient.

[0082] In one embodiment of the present invention, the actual amount of work is determined as follows:

[0083] Q i-act,t =Q i-plan ×(u mat ·T m +u hr ·T h +u eqp ·T e )×Q qc Equation (6)

[0084] In one embodiment of the present invention, Q i-act,t Let Q be the actual workload of the i-th sub-project in the t-th pre-set production stage. i-plan Let u be the planned quantity of work for the i-th sub-project. mat T represents the preset resource weighting coefficient corresponding to the material. m u is the material consumption ratio. hr T represents the preset resource weighting coefficient corresponding to human intervention. h u is the labor efficiency coefficient. eqp T represents the preset resource weight coefficient corresponding to the device. e Q is the equipment efficiency coefficient. qc This is the quality correction factor.

[0085] In one embodiment of the present invention, the planned workload of the i-th sub-project is obtained based on the estimated workload and sub-key features of the sub-project.

[0086] In one embodiment of the present invention, the preset resource weight coefficient is determined based on the type of sub-project. Different types of sub-projects may have different preset resource weights.

[0087] In one embodiment of the present invention, the material consumption ratio T m The determination is as follows:

[0088]

[0089] In one embodiment of the present invention, the labor efficiency coefficient T h The determination is as follows:

[0090]

[0091] In one embodiment of the present invention, the equipment efficiency coefficient T e The determination is as follows:

[0092]

[0093] In one embodiment of the present invention, determining the quality correction coefficient based on the comparison result of a preset first correction coefficient and an estimated correction coefficient includes: determining the pass rate coefficient of each preset checkpoint based on the ratio between the actual number of defects at each preset checkpoint in the stage production data and the corresponding preset defect allowable threshold; determining the estimated correction coefficient based on the preset rework coefficient and the pass rate coefficient of each preset checkpoint; and determining the maximum value between the preset first correction coefficient and the estimated correction coefficient as the quality correction coefficient.

[0094] In one embodiment of the present invention, the quality correction factor is determined as follows:

[0095]

[0096] Among them, Q qc Q is the quality correction factor. s To preset the first correction factor, f au_s Let A be the actual number of defects at the s-th preset checkpoint. ll_s λ is the preset defect allowable threshold for the s-th preset checkpoint. 返工 S is the preset rework coefficient, and S is the total number of preset checkpoints.

[0097] In one embodiment of the present invention, the preset first correction coefficient is obtained based on national standards, such as 0.7.

[0098] In one embodiment of the present invention, the present invention is based on a set of sub-projects, and uses the material consumption, time consumption, labor hours consumption, and equipment occupancy collected in a preset production stage, combined with the quality evaluation of the preset production stage, to build a dynamic calculation model of the actual engineering quantity, so as to obtain the actual engineering quantity of the sub-projects in the preset production stage.

[0099] Step S240: Determine the actual total output value of the project in the current production stage based on the actual workload of at least one active project, the weight of the sub-projects, and the planned output value.

[0100] Among them, active projects are used to represent sub-projects that are under construction in the current production stage, and the weights of sub-projects are obtained based on the correlation matrix.

[0101] In one embodiment of the present invention, the actual project output value of each active project is determined based on the actual workload, sub-project weight and planned output value of each active project, and the actual project output values ​​of at least one active project are aggregated to obtain the actual total output value of the project in the preset production stage.

[0102] In one embodiment of the present invention, the current production stage is used to characterize a preset production stage in which the engineering project is under construction.

[0103] In one embodiment of the present invention, the actual total output value is determined as follows:

[0104]

[0105] Among them, TotalOutput t Let Q be the actual total output value of the project in the t-th pre-set production stage. i-act,t Let ω be the actual workload of the i-th sub-project in the t-th pre-set production stage. i,t V represents the weight of the i-th sub-item in the t-th preset production stage. i,t The budgeted unit price of the i-th sub-item in the t-th preset production stage, where n is the total number of active items.

[0106] In one embodiment of the present invention, the budgeted unit price of the i-th sub-project in the t-th preset production stage is obtained based on the planned output value of the sub-project and the actual market price index, or determined by the price adjustment formula agreed in the contract. For example, budgeted unit price = planned output value V of the sub-project i ×Real market price index.

[0107] In one embodiment of the present invention, taking five preset production stages and three sub-projects as an example, with the current production stage being the second preset production stage, the actual total output value of the project in the current production stage is determined as follows:

[0108] An example scenario is set up as follows:

[0109] The data for the three sub-projects at the current production stage are as follows:

[0110] SP1: Status is completed, actual workload Q 1-act,2 =100m 3 Planned output value V1 = 500 yuan / m 3 Budget unit price V 1,2 =500 yuan / m 3 ;

[0111] SP2: Actual completed work quantity Q 2-act,2 =80m 3 Planned output value V2 = 500 yuan / m 3 Budget unit price V 2,2 =800 yuan / m 3 ;

[0112] SP3: Actual completed work quantity Q 3-act,2 =0m 3 Planned output value W3 = 500 yuan / m 3 ;

[0113] Correlation matrix W:

[0114]

[0115] An example calculation process is as follows:

[0116] Active projects identified: SP1 and SP2.

[0117] Determine the weight of sub-items:

[0118] ω 1,2 =(W[0,0]+W[0,1]) / (W[0,0]+W[0,1]+W[1,0]+W[1,1])=(0.6+0.3) / (0.9+0.9)=0.5

[0119] ω 2,2 =(W[1,0]+W[1,1]) / (W[0,0]+W[0,1]+W[1,0]+W[1,1])=(0.2+0.7) / 1.8=0.5

[0120] TotalOutput2 = (100 × 500 × 0.5) + (80 × 800 × 0.5) = 57000 yuan

[0121] It can be seen that the actual total output value of the project in the second pre-set production stage was 57,000 yuan.

[0122] In one embodiment of the present invention, based on the actual total output value of an engineering project in multiple preset production stages, as well as different types of historical project data and expert decision data, the parameters of the project decomposition stage, the parameters of the correlation matrix, the parameters used to determine the actual engineering quantity, and the parameters of output value aggregation are optimized around the three major objectives of data accuracy, robustness of actual engineering quantity determination, and computational efficiency. This continuously improves the accuracy of determining the output value of the engineering project. For example, at least one of the following can be dynamically adjusted: the preset dependency weight coefficient and preset attenuation coefficient corresponding to the correlation matrix; the engineering quantity correction coefficient corresponding to the estimated engineering quantity; the preset rework coefficient and preset defect allowance threshold corresponding to the actual engineering quantity; and the budget unit price corresponding to the actual total output value.

[0123] In one embodiment of the invention, the project is rationally broken down based on material consumption, time input, quality pass rate, and worker labor measurement. Through refined management, an estimated workload model and correlation matrix for each sub-project are constructed. By comprehensively considering the correlation factors between sub-projects, a real-time output value calculation model is built to accurately calculate the actual total output value of the project. This provides a core basis for the construction party to pay progress payments and ensure worker wages are paid. Furthermore, it provides the project management team with precise progress control references, helping to optimize project resource allocation and construction progress.

[0124] Please see Figure 3 , Figure 3 This is a block diagram of an engineering project output value determination device provided in one embodiment of the present invention. This device can be applied to... Figure 1 The implementation environment shown is specifically configured in computer device 120. This device can also be applied to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the device is applicable.

[0125] like Figure 3 As shown, an engineering project output value determination device 300 according to an embodiment of the present invention includes: a data acquisition module 310, a correlation degree determination module 320, an actual engineering quantity determination module 330, and a project output value determination module 340.

[0126] Among them, the data acquisition module 310 is used to acquire the project production data of the engineering project. The project production data includes the sub-key features of multiple sub-projects, sub-project planning information and at least one stage production data. The sub-project planning information includes the estimated workload, planned production resources and planned output value. The stage production data is used to characterize the actual production data of the sub-project in at least one preset production stage.

[0127] The correlation determination module 320 is used to determine resource dependencies based on the key features and progress of each sub-project, and to obtain the correlation matrix between each sub-project.

[0128] The actual workload determination module 330 is used to determine the actual workload of each sub-project in the corresponding preset production stage based on the stage production data, estimated workload and planned production resources of each sub-project.

[0129] The project output value determination module 340 is used to determine the actual total output value of the project in the current production stage based on the actual workload of at least one active project, the weight of the sub-project, and the planned output value. Active projects are used to characterize the sub-projects under construction in the current production stage, and the weight of the sub-project is obtained based on the correlation matrix.

[0130] It should be noted that the project output value determination device and the project output value determination method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the project output value determination device provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0131] Embodiments of the present invention also provide an electronic device, including: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device enables the method for determining the output value of engineering projects provided in the above embodiments.

[0132] Please see Figure 4 , Figure 4 This is a schematic diagram of the structure of a computer system for an electronic device provided in one embodiment of the present invention. Figure 4 The computer system 400 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0133] like Figure 4 As shown, the computer system 400 includes a central processing unit 401, which can perform various appropriate actions and processes based on a program stored in read-only memory 402 or a program loaded from storage section 408 into random access memory 403, such as performing the methods described in the above embodiments. The random access memory 403 also stores various programs and data required for system operation. The central processing unit 401, read-only memory 402, and random access memory 403 are interconnected via bus 404. Input / output interface 405 is also connected to bus 404.

[0134] The following components are connected to the input / output interface 405: an input section 406 including a keyboard, mouse, etc.; an output section 407 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the input / output interface 405 as needed. A removable medium 411, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 410 as needed so that computer programs read from it can be installed into the storage section 408 as needed.

[0135] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing computer programs for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 409, and / or installed from removable medium 411. When the computer program is executed by central processing unit 401, it performs various functions defined in the system of the present invention.

[0136] The computer-readable medium shown in the embodiments of the present invention can be a computer-readable signal medium, a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory (EPROM), flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. Computer programs contained on computer-readable media can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0137] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. Each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0138] The units described in the embodiments of the present invention can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself. Therefore, the technical solutions according to the embodiments of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, portable hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, touch terminal, or network device, etc.) to execute the method according to the embodiments of the present invention.

[0139] Another aspect of the present invention provides a computer-readable storage medium storing a computer program thereon, which, when executed by a computer's processor, causes the computer to perform the project output value determination method provided in the above embodiments. This computer-readable storage medium may be included in the electronic device described in the above embodiments, or it may exist independently and not assembled into the electronic device.

[0140] In the above embodiments, unless otherwise specified, the use of numerals such as "first" and "second" to describe common objects only indicates that they refer to different instances of the same object, and does not imply that the described objects must be in a given order, whether temporally, spatially, sequentially, or in any other way. The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A method for determining the output value of an engineering project, characterized in that, The method includes: Acquire project production data for an engineering project. The project production data includes sub-key features of multiple sub-projects, sub-project planning information, and production data for at least one stage. The sub-project planning information includes estimated workload, planned production resources, and planned output value. The stage production data is used to characterize the actual production data of the sub-project in at least one preset production stage. Based on the key features and progress of each sub-project, resource dependencies are determined to obtain the correlation matrix between each sub-project. The actual workload of each sub-project in the corresponding preset production stage is determined based on the stage production data, estimated workload and planned production resources of each sub-project. The actual total output value of the project in the current production stage is determined based on the actual workload of at least one active project, the weight of the sub-project, and the planned output value. The active project is used to characterize the sub-project under construction in the current production stage, and the weight of the sub-project is obtained based on the correlation matrix.

2. The method for determining the output value of an engineering project according to claim 1, characterized in that, Based on the phased production data, estimated workload, and planned production resources of the sub-project, the actual workload of the sub-project in the corresponding preset production phase is determined, including: Multiple production resource coefficients are determined based on the gap between the planned production resources and the stage production data. Each of the production resource coefficients includes a material consumption ratio, a labor efficiency coefficient, and an equipment efficiency coefficient. The production quantity coefficient is determined based on each of the aforementioned production resource coefficients and the corresponding preset resource weight coefficients. The quality correction coefficient is determined based on the comparison between the preset first correction coefficient and the estimated correction coefficient, wherein the estimated correction coefficient is obtained based on the stage production data; The actual workload of the sub-project in the corresponding preset production stage is determined based on the estimated workload, the production volume coefficient, and the quality correction coefficient.

3. The method for determining the output value of an engineering project according to claim 2, characterized in that, The quality correction factor is determined based on the comparison between the preset first correction factor and the estimated correction factor, including: The pass rate coefficient for each preset checkpoint is determined based on the ratio between the actual number of defects at each preset checkpoint in the stage production data and the corresponding preset defect allowable threshold. The estimated correction coefficient is determined based on the preset rework coefficient and the pass rate coefficient of each preset inspection point; The maximum value between the preset first correction coefficient and the estimated correction coefficient is determined as the quality correction coefficient.

4. The method for determining the output value of an engineering project according to claim 1, characterized in that, Resource dependencies are determined based on the key features and progress of each sub-project, resulting in a correlation matrix between the sub-projects, including: Based on the sub-key features of each sub-project, multiple resource dependency indicators are determined between any two sub-projects. Each dependency indicator includes process dependency, spatial overlap, and resource sharing rate. The resource dependency between any two sub-projects is determined based on each of the resource dependency indicators and the corresponding preset dependency weight coefficients. Each time decay coefficient is determined based on a preset decay coefficient and the time proportion of each sub-item, wherein the time proportion is obtained based on the ratio between the time already spent on the sub-item and the planned total time. The sub-project dependency between any two sub-projects is determined based on the ratio of each resource dependency to the total resource dependency and the corresponding time decay coefficient. The correlation matrix is ​​determined based on the dependency of each sub-item.

5. The method for determining the output value of an engineering project according to claim 4, characterized in that, The preset dependency weight coefficients corresponding to each resource dependency index are obtained through hierarchical analysis based on the type of the sub-project and the corresponding historical engineering data. The preset attenuation coefficient is determined based on the type of the sub-project, the corresponding historical engineering data, and the preset theoretical attenuation model. The project production data includes the historical engineering data.

6. The method for determining the output value of an engineering project according to any one of claims 1-5, characterized in that, Obtain project production data for engineering projects, including: Obtain the overall project reference data for the engineering project, which includes construction reference data and cost reference data; Image recognition is performed on the construction reference data to obtain text data; The text data is subjected to feature extraction based on multiple preset key feature types to obtain multiple project key features. Each project key feature includes structural type features, material property features, construction technology features, personnel configuration features, and equipment requirement features. Based on the logical relationship between the key features of each project and the cost reference data, the project is decomposed to obtain sub-key features of multiple sub-projects. The sub-project plan information for each sub-project is determined based on the cost reference data and the sub-key characteristics of each sub-project.

7. The method for determining the output value of an engineering project according to claim 6, characterized in that, Based on the cost reference data and the sub-key characteristics of the sub-project, the sub-project plan information of the sub-project is determined, including: The estimated quantities of the sub-project are determined based on the quantity correction factor and the basic geometric parameters. The quantity correction factor is used to characterize at least one corresponding correction amount among design changes, construction plan changes, construction losses, and process complexity. The basic geometric parameters and the quantity correction factor are obtained based on the sub-key features. And / or, The construction unit price is determined based on the unit price of labor, the unit price of materials, and the unit price of machinery shifts. The planned output value of the sub-project is determined based on the comprehensive rate coefficient, the construction unit price, and the estimated project quantity. The comprehensive rate coefficient is used to characterize at least one corresponding adjustment amount among management fees, profits, regulatory fees, and taxes. The unit price of labor, the unit price of materials, the unit price of machinery shifts, and the comprehensive rate coefficient are obtained based on cost reference data.

8. A device for determining the output value of an engineering project, characterized in that, The device includes: The data acquisition module is used to acquire project production data of the engineering project. The project production data includes sub-key features of multiple sub-projects, sub-project planning information, and at least one stage production data. The sub-project planning information includes estimated workload, planned production resources, and planned output value. The stage production data is used to characterize the actual production data of the sub-project in at least one preset production stage. The correlation determination module is used to determine resource dependencies based on the sub-key features and progress of each sub-project, and to obtain the correlation matrix between each sub-project. The actual workload determination module is used to determine the actual workload of each sub-project in the corresponding preset production stage based on the stage production data, estimated workload and planned production resources of each sub-project. The project output value determination module is used to determine the actual total output value of the project in the current production stage based on the actual workload of at least one active project, the weight of the sub-project, and the planned output value. The active project is used to characterize the sub-project under construction in the current production stage, and the weight of the sub-project is obtained based on the correlation matrix.

9. An electronic device, characterized in that, The electronic device includes: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to implement the method for determining the output value of an engineering project as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It stores a computer program, which, when executed by the computer's processor, causes the computer to perform the method for determining the output value of an engineering project as described in any one of claims 1 to 7.

Images