Engineering Cost Data Analysis Method and System for Engineering Management

Abstract

The present invention relates to the technical field of data processing, and particularly relates to a method and system for parsing project cost data for engineering management. The method includes: determining the component change value of the components of the target project according to the materials corresponding to the components in the first BIM model and the second BIM model of the target project; determining the adaptation mutation index of the material level change of each component in a single analysis area; determining the credit loss bias of the materials of each component in the single analysis area after modification according to the adaptation mutation index, the first level, the second level, and the first quantity of the components that coexist in the single analysis area and other analysis areas; in the case where the credit loss bias is greater than the threshold, determining that the materials of the components after modification are abnormal, and readjusting the project cost of the target project based on the materials of the abnormal components after modification. Thus, the present invention improves the accuracy of the project cost of the engineering project.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly relates to a method and system for parsing project cost data for project management. Background Art

[0002] Project cost refers to all the fixed asset investment expenses expected or actually incurred for constructing a project, which covers the total process costs from the start of project decision-making to the completion and payment. It includes but is not limited to the purchase of equipment and tools, construction and installation projects, project construction, reserve funds, and interest during the construction period. During the progress of a project, some people may falsely report the project cost, resulting in inaccurate actual project costs. Therefore, it is necessary to identify whether the project cost is falsely reported.

[0003] In some scenarios, during the project acceptance inspection, the project cost is usually compared by contrasting the finished record report of the project with the originally planned cost at the project design stage, and a difference threshold is set to determine whether there is false reporting. However, this method has significant limitations. Its greatest shortcoming is that it cannot accurately distinguish the rationality of material modifications. In actual construction projects, material modifications may be due to various reasons. Some are reasonable adjustments made according to the actual project requirements, while some may be unreasonable tampering for improper purposes with the intention of falsely reporting the project cost. Traditional methods are difficult to effectively distinguish between these two situations, leading to deviations in the project cost link, being unable to accurately judge the true project cost, resulting in a low accuracy of the project cost of the project, and seriously affecting the effectiveness of the cost control of construction projects and the guarantee of project benefits. Summary of the Invention

[0004] In order to solve the technical problem of the low accuracy of the project cost of a project, the purpose of the present invention is to provide a method and system for parsing project cost data for project management, and the specific technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present invention provides a method for parsing project cost data for engineering management, including: determining the component change value of the components of the target project according to the materials corresponding to the components in the first BIM model and the second BIM model of the target project, where the first BIM model includes components with different performances and corresponding materials during the design of the target project, and the second BIM model includes components with different performances and corresponding materials at the completion of the target project; determining the adaptation mutation index of the material level change of each component in a single analysis area of the target project according to the component change value of each component actually used in the single analysis area of the target project, the first level of the material used by each component during design and the second level of the material used by each component at completion; determining the credibility bias of the modified material of each component in the single analysis area according to the adaptation mutation index, the first level, the second level, and the first quantity of the components co-existing in the single analysis area and other analysis areas; in the case where the credibility bias is greater than the threshold, determining that the modified material of the component is abnormal, and readjusting the project cost of the target project based on the modified material of the abnormal component.

[0006] Optionally, determining the component change value of the components of the target project according to the materials corresponding to the components in the first BIM model and the second BIM model of the target project includes: establishing a sample space with the ascending direction of the performance strength of the performance required by the components in the target project as the positive direction of the coordinate axis of the sample space, and representing the performance and corresponding performance strength of the components required at different positions in the target project as data points in the sample space; clustering each data point of the component to obtain multiple clustering clusters, where the performance and corresponding performance strength of the components in each clustering cluster are similar; determining the rating bias of the materials that can be used by the component when used in the target project according to the distance between the center point of the clustering cluster and the zero point of the sample space and the unit price of the materials that the component can use; sorting the materials that the component can use in descending order according to each rating bias, and taking the sorting serial number of the materials as the level of the materials; obtaining the first level of the materials used by the components in a single analysis area of the target project during design and the second level of the materials used by the components used in the single analysis area of the target project at the completion of the target project; calculating the absolute value of the first difference between the first level and the second level to obtain the level difference; determining the component change value of each component actually used in the target project according to the root mean square error between the first BIM model and the second BIM model and the level difference.

[0007] Optionally, based on the distance between the center point of the clustering cluster and the zero point of the sample space, and the unit price of the materials that the component can adopt, the rating emphasis of the materials that can be adopted when the component is used in the target project includes: determining the maximum value among the unit prices of all the materials that the component can adopt; calculating the first ratio between the unit price of each material that the component can adopt and the maximum value; and determining the first product of the first ratio and the distance as the rating emphasis of each material that the component can adopt.

[0008] Optionally, based on the root mean square error and the level difference between the first BIM model and the second BIM model, the component change values of each component actually adopted in the target project are determined as follows: calculating the second product between the root mean square error and the level difference; and performing a normalization process on the second product to obtain the component change values of each component actually adopted in the target project.

[0009] Optionally, based on the component change values of each component actually used in a single analysis area of the target project, the first level of the materials adopted when each component is designed and the second level of the materials adopted by each component at the time of completion, the adaptation mutation index of the material level change of each component in the single analysis area is determined as follows: calculating the average change value of the component change values of the components used at each position in the single analysis area; determining the second quantity of the components whose first level of the materials adopted when designed and the second level of the materials adopted at the time of completion are inconsistent in the single analysis area and the third quantity of all types of components in the single analysis area; determining the modified outlier degree of the material level change of each component in the single analysis area based on the average change value of the current component change values in the single analysis area, the average change value of the component change values of other components in the single analysis area, the second quantity, and the third quantity; calculating the absolute value of the first difference between the first level and the second level to obtain the level difference; and determining the adaptation mutation index of the material level change of each component based on the level difference of the materials adopted by each component, the modified outlier degree, and the second level.

[0010] Optionally, determining the modified outlier degree of the material level change of each component in a single analysis area based on the average change value of the component change values of the current components in the single analysis area, the average change value of the component change values of other components in the single analysis area, the second quantity, and the third quantity includes: calculating the absolute value of the second difference between the average change value of the component change values of the current components in the single analysis area and the average change value of the component change values of other components in the single analysis area, and superimposing the absolute values of the second differences to obtain a first superimposed value; calculating the third difference between the second quantity and a predetermined value, the third product between the third quantity and the average change value of the component change values of the current components in the single analysis area, and calculating the second ratio between the third product and the second quantity; calculating the third ratio between the first superimposed value and the third difference; determining the fourth product between the second ratio and the third ratio as the modified outlier degree.

[0011] Optionally, determining the adaptation mutation index of the material level change of each component based on the level difference of the materials used by the components, the modified outlier degree, and the second level includes: determining the maximum difference among the level differences of the materials used by the components, and calculating the fourth difference between the maximum difference and the level differences of the materials used by the components; calculating the fourth ratio between the modified outlier degree and the fourth difference; determining the fifth product between the fourth ratio and the second level as the adaptation mutation index of the material level change of the component.

[0012] Optionally, determining the trustworthiness bias of the modified materials of each component in a single analysis area based on the adaptation mutation index, the first level, the second level, and the first quantity of the components that coexist in the single analysis area and other analysis areas includes: determining the level change degree difference of the current components based on the level difference of the current components in the single analysis area and other analysis areas; superimposing the level change degree differences of the materials corresponding to all components in the single analysis area and other analysis areas to obtain the level modification difference situation of the materials corresponding to all components in the single analysis area; determining the trustworthiness bias of the modified materials of the current components in the single analysis area based on the level modification difference situation of the materials corresponding to all components in the single analysis area, the first quantity, and the adaptation mutation index.

[0013] Optionally, modifying the difference situation, the first quantity, and determining the material trustworthiness bias of the current component in a single analysis area according to the adaptation mutation index includes: calculating the fifth difference between the adaptation mutation indices of the material level changes of the components in a single analysis area and other analysis areas, and the fifth ratio between the first quantity and the difference situation of the material level modifications corresponding to all the components in a single analysis area, and calculating the sixth product between the fifth difference and the fifth ratio; superimposing the sixth products corresponding to all the analysis areas in the target project to obtain a second superimposed value; and performing a normalization process on the second superimposed value to obtain the trustworthiness bias.

[0014] In a second aspect, an embodiment of the present invention provides a project cost data analysis system for engineering management, including: a processor and a memory; wherein, the memory is used to store a computer program that can run on the processor; the processor is used to execute the program stored on the memory to implement the steps of the project cost data analysis method for engineering management mentioned in the first aspect.

[0015] The present invention has the following beneficial effects: First, determine the component change value of the components of the target project according to the materials corresponding to the components in the first BIM model and the second BIM model of the target project, where the first BIM model includes components with different performances and corresponding materials when the target project is designed, and the second BIM model includes components with different performances and corresponding materials when the target project is completed; secondly, determine the adaptation mutation index of the material level change of each component in the single analysis area according to the component change value of each component actually used in the single analysis area of the target project, the first level of the material used when each component is designed, and the second level of the material used by each component when completed; then, according to the adaptation mutation index, the first level, the second level, and the first quantity of the components that coexist in the single analysis area and other analysis areas, determine the trustworthiness bias of the materials of each component after modification in the single analysis area; finally, when the trustworthiness bias is greater than the threshold, determine that the material of the component after modification is abnormal, and readjust the project cost of the target project based on the material of the abnormal component after modification.

[0016] Thus, in the embodiments of the present invention, the project cost is combined with the BIM model. According to the differences in the material levels of components in each analysis area of the target project during design and after completion, as well as the changes in the material levels of components in the analysis area of the target project compared with those of other components, the reasonableness of the change in the material level of this component is analyzed. That is, if the deviation of the material change of the component in this analysis area is too high, it indicates that the material of the component after modification is abnormal and there may be a situation of false reporting. Therefore, the embodiments of the present invention can analyze the reasonableness of the material modification of components in the target project, identify false reporting situations, thereby accurately judging the true project cost, improving the accuracy of the project cost of the engineering project, and ensuring the effectiveness of the cost control of the construction project and the guarantee of project benefits. Brief Description of the Drawings

[0017] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0018] Figure 1 It is a flowchart of a project cost data analysis method for engineering management provided by an embodiment of the present invention;

[0019] Figure 2 It is a schematic structural diagram of a project cost data analysis system for engineering management provided by an embodiment of the present invention;

[0020] Figure 3 It is a schematic structural diagram of a project cost data analysis system for engineering management provided by another embodiment of the present invention. Detailed Embodiments

[0021] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, details the specific embodiments, structures, features, and effects of a project cost data analysis method and system for engineering management proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0023] The following specifically describes the specific solution of a project cost data parsing method for engineering management provided by the present invention in conjunction with the accompanying drawings.

[0024] Embodiment 1:

[0025] Please refer to Figure 1 , which shows a flowchart of a project cost data parsing method for engineering management provided by an embodiment of the present invention, including:

[0026] S101. Determine the component change value of the components of the target project according to the materials corresponding to the components in the first BIM model and the second BIM model of the target project.

[0027] Among them, the first BIM model includes components with different performances and corresponding materials during the design of the target project, and the second BIM model includes components with different performances and corresponding materials at the completion of the target project.

[0028] Specifically, in the embodiment of the present invention, the first BIM model is built according to the design requirements of the target project, and then the second BIM model is built during the actual progress of the target project. When building the first BIM model, different components are numbered according to the design requirements of the target project, and the performance description corresponding to the required components, as well as the materials and strengths corresponding to the performance, are found in the general description according to the component numbers. For example, if the component is concrete, the performance of the component can be the compressive strength and impermeability of the concrete, etc., and the strength and materials corresponding to the performance can be the production materials of the concrete and the grades of the compressive strength and impermeability of the concrete made of different production materials, etc.

[0029] Furthermore, in the embodiment of the present invention, the multiple strengths under a single performance of the component are sorted in ascending order, and the obtained serial number is the grade of the material adopted for the corresponding performance. For example, when the component is a ceiling, the performance of the ceiling is fire resistance, and the grades of the fire resistance performance of the ceiling are Class B2 (flammable), Class B1 (difficult to burn), and Class A (non-combustible), and the corresponding performance strength grades are Grade 1, Grade 2, and Grade 3. In the embodiment of the present invention, each component and the corresponding performance and material grades are stored in the first BIM model in a corresponding manner. Among them, the second BIM model can also be built in the same way as the first BIM model, and the embodiment of the present invention will not elaborate here.

[0030] Furthermore, due to different usage purposes, each space in the target project to be repaired often needs to meet different performance strength requirements. For example, in the foundation part of a building, such as the raft foundation or pile foundation of a high-rise building, since it needs to bear the huge weight of the upper structure, the compressive strength requirement of the concrete is very high. Therefore, in actual construction, material brands that meet the requirements of various performance strengths should be selected. Among them, when misreporting engineering materials, more expensive materials than the actual engineering materials used are often selected for reporting. Therefore, in the embodiments of the present invention, first, the unit price of the component material products corresponding to the requirements range of each finally determined component and their respective performance strengths are used to rate the materials of all possible components used in the project. Then, when the target project is completed and accepted, the rationality of the change in the material level of this component is analyzed based on the change in the material level of different components used in the target project compared with the material levels of surrounding similar components and different family components. Among them, the use of the material levels of each component in a certain area during the original design is determined with reference to the environmental conditions and usage purposes of this area. Therefore, when the material of a certain component in a certain area is modified, the materials of some other components should also be modified. Therefore, when the material modification of a certain component in the same area is more abrupt, the more likely it is that there is a misreporting problem that the actually used material does not match the reported material level.

[0031] Based on the above analysis, as an optional embodiment of the present invention, determining the component change value of the components of the target project according to the materials corresponding to the components in the first BIM model and the second BIM model of the target project includes: establishing a sample space with the ascending direction of the performance strength of the performance required by the components in the target project as the positive direction of the coordinate axis of the sample space, and representing the performance of the components required at different positions in the target project and the corresponding performance strengths in the sample space in the form of data points; clustering each data point of the components to obtain multiple clustering clusters, and the performance of the components and the corresponding performance strengths in each clustering cluster are similar; determining the rating preference of the materials that can be used by the components when used in the target project according to the distance between the center point of the clustering cluster and the zero point of the sample space and the material unit price of the materials that the components can adopt; sorting the materials that the components can adopt in descending order according to each rating preference, and using the sorting serial number of the materials as the material level; obtaining the first level of the materials used by the components in the design of a single analysis area of the target project and the second level of the materials used by the components used in the single analysis area of the target project when the target project is completed; calculating the absolute value of the first difference between the first level and the second level to obtain the level difference; determining the component change value of each actually adopted component in the target project according to the root mean square error between the first BIM model and the second BIM model and the level difference.

[0032] Specifically, in the embodiments of the present invention, first, the ascending direction of the material grades of various performance strengths that a single type of component may require is used as the coordinate axis of the sample space, and the direction from the larger to the smaller grade data is taken as the positive direction to establish the sample space. Secondly, the various performances required for components at different positions and the corresponding performance strengths are corresponded in the sample space to obtain the corresponding required data points. Then, the required data points of all such components in the target project are clustered in the sample space by the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to obtain multiple clustering clusters. Finally, the maximum performance strength of each required data point in a single clustering cluster on different performances is used as the reference data for selecting the materials of the components within this clustering cluster, and different types of product materials are selected according to this reference data.

[0033] Furthermore, in the embodiments of the present invention, the distance between the center point within the clustering cluster and the zero point in the sample space is used to express the overall performance strength of the materials recommended for use in the design of the components in this clustering cluster, thereby calculating the rating bias of the materials that can be adopted when the components are used in the target project. Among them, as an optional embodiment of the present invention, determining the rating bias of the materials that can be adopted when the components are used in the target project according to the distance between the center point of the clustering cluster and the zero point of the sample space and the unit price of the materials that the components can adopt includes: determining the maximum value among the unit prices of all the materials that the components can adopt; calculating the first ratio between the unit price of each material that the components can adopt and the maximum value; and determining the first product between the first ratio and the distance as the rating bias of each material that the components can adopt.

[0034] Specifically, the embodiments of the present invention specifically calculate the rating bias using the following formula:

[0035]

[0036] In the above formula, represents the rating bias of the k-th material adopted by the i-th component. represents the unit price of the k-th material adopted by the i-th component. represents the maximum value among the unit prices of all the materials adopted by the i-th component. represents the distance between the center point of the i-th component corresponding to the j-th clustering cluster and the zero point of the sample space.

[0037] Furthermore, in the embodiments of the present invention, the rating biases of all the materials of the i-th component obtained are sorted from largest to smallest for each material k, and the sorting serial number is used as the level size of each material of the i-th component. .

[0038] Further, in the embodiments of the present invention, a single spatial range in the target project is used as an analysis area. The levels of the materials used when the i-th component in the single analysis area m is designed and when it is finally completed are obtained. In the embodiments of the present invention, the first level when the i-th component in the single analysis area m is designed is denoted as and the second level after the completion of the i-th component in the single analysis area m is denoted as . Then, the level difference of the materials used when the i-th component in the single analysis area m is designed and when it is finally completed is calculated .

[0039] Further, in the embodiments of the present invention, the root mean square error between the first BIM model and the second BIM model is obtained based on the point cloud matching algorithm. The larger the root mean square error, the worse the matching effect. Among them, the root mean square error between the first BIM model and the second BIM model obtained based on the point cloud matching algorithm can refer to the known technology, and the embodiments of the present invention will not elaborate here.

[0040] Further, as an optional embodiment of the present invention, according to the root mean square error and the level difference between the first BIM model and the second BIM model, determining the component change value of each component actually adopted in the target project includes: calculating the second product between the root mean square error and the level difference; performing a normalization process on the second product to obtain the component change value of each component actually adopted in the target project.

[0041] Specifically, the embodiments of the present invention specifically use the following formula to calculate the component change value of each component:

[0042]

[0043] In the above formula, represents the component change value of the i-th component in the single analysis area m. represents the level difference of the i-th component in the single analysis area m. represents the root mean square error of the i-th component in the single analysis area m between the first BIM model and the second BIM model. sig is the normalization operation on using the sigmoid function.

[0044] S102. According to the component change value of each component actually used in the single analysis area of the target project, the first level of the material used when each component is designed and the second level of the material used by each component at the time of completion, determine the adaptation mutation index of the material level change of each component in the single analysis area.

[0045] Specifically, after obtaining the component change values of each component actually used in a single analysis area of the target project, the embodiment of the present invention calculates the average value of the component change values of all components of this component at the used position in the analysis area, and then calculates the adaptation mutation index of the material level change of each component in a single analysis area.

[0046] Further, as an optional embodiment of the present invention, according to the component change values of each component actually used in a single analysis area of the target project, the first level of the material used when each component is designed and the second level of the material used by each component at the time of completion, determining the adaptation mutation index of the material level change of each component in a single analysis area includes: calculating the average change value of the component change values of the components used at each position in a single analysis area; determining the second quantity of the components whose first level of the material used when designed and the second level of the material used by the components at the time of completion in a single analysis area are inconsistent, and the third quantity of all types of components in a single analysis area; determining the modified outlier degree of the material level change of each component in a single analysis area according to the average change value of the component change values of the current components in a single analysis area, as well as the average change value of the component change values of other components in a single analysis area, the second quantity and the third quantity; calculating the absolute value of the first difference between the first level and the second level to obtain the level difference; determining the adaptation mutation index of the material level change of each component according to the level difference of the materials used by each component, the modified outlier degree and the second level.

[0047] Specifically, taking the m-th analysis area as an example, the embodiment of the present invention calculates the average change value of the component change values of the i-th component used at each position in the m-th analysis area . Then obtain the second quantity of the component p whose material level used by the i-th component at the time of design and final completion in the m-th analysis area is different , and obtain the third quantity of all types of components in the m-th analysis area .

[0048] Further, as an optional embodiment of the present invention, determining the modified outlier degree of the material level change of each component in a single analysis area based on the average change value of the component change values of the current components in the single analysis area, the average change value of the component change values of other components in the single analysis area, the second quantity, and the third quantity includes: calculating the absolute value of the second difference between the average change value of the component change values of the current components in the single analysis area and the average change value of the component change values of other components in the single analysis area, and superimposing the absolute values of the second differences to obtain a first superimposed value; calculating the third difference between the second quantity and a predetermined value, the third product between the third quantity and the average change value of the component change values of the current components in the single analysis area, and calculating the second ratio between the third product and the second quantity; calculating the third ratio between the first superimposed value and the third difference; determining the fourth product between the second ratio and the third ratio as the modified outlier degree.

[0049] Specifically, the embodiment of the present invention specifically calculates the modified outlier degree using the following formula:

[0050]

[0051] In the above formula, represents the modified outlier degree of the material level change of the i-th component in the m-th analysis area. represents the average change value of the component change values of the i-th component used at each position in the m-th analysis area. represents the average change value of the component change values of the p-th component used at each position in the m-th analysis area. represents the second quantity of the component p whose material level difference exists between the design and the final completion of the i-th component in the m-th analysis area. represents the third quantity of all types of components in the m-th analysis area. is the average difference of the component change values between other types of components and the i-th component in the analysis area m. The larger the value, the more abrupt the material level change of the i-th component, and the more likely there is a problem of false reporting. is the reciprocal of, which is the proportion of the material level change of the component types in the analysis area m. When the value is smaller, When the value is larger, it proves that the material level changes of other component types in this space are relatively smaller, and the situation of the material level change of the i-th component is more inconsistent with the actual situation, and there is more likely a problem of false reporting of materials.

[0052] Furthermore, in reality, false reporting of the materials used may occur in combination with reasonable modifications. For example, different material levels are used in the design of the surrounding walls of a room due to different functions. During construction, it is found that due to environmental problems, the materials need to be upgraded. For the walls with lower actual material requirements, there is no need to overly increase the material level, and high-level materials have not been used during construction. However, since there is indeed a wall that has been changed and high-level materials have been used, the construction party may charge for all the walls in the room at the high-level material price. To judge such false reporting situations, the material level changes of similar components in the area and the material level at the time of its own design should be used as a reference to analyze whether the material changes of the current component are in line with the actual situation and whether false reporting has occurred.

[0053] Furthermore, as an alternative embodiment of the present invention, determining the adaptation mutation index of the material level change of each component according to the level difference of the materials used by each component, the degree of modification outlier, and the second level includes: determining the maximum difference in the level differences of the materials used by the component, and calculating the fourth difference between the maximum difference and the level difference of the materials used by the component; calculating the fourth ratio between the degree of modification outlier and the fourth difference; determining the fifth product between the fourth ratio and the second level as the adaptation mutation index of the material level change of the component.

[0054] Specifically, the embodiment of the present invention calculates the adaptation mutation index using the following formula:

[0055]

[0056] In the above formula, represents the adaptation mutation index of the material level change of the i-th component in the m-th analysis area. represents the degree of modification outlier of the material level change of the i-th component in the m-th analysis area. represents the maximum value of the level differences of the materials used by the i-th component in the m-th analysis area during design and final completion. represents the level difference of the materials used by the i-th component in the m-th analysis area during design and final completion. The larger it is, the greater the level of the material of the i-th component in the m-th analysis area, the higher the price, and the more likely false reporting is to occur. The smaller it is, the greater the degree of change in the material level of the i-th component in the m-th analysis area, and the relatively more unreasonable it is. The larger it is, the more abrupt the modification of the material level of the i-th component, and there may be problems. As a result, the more likely it is that false reporting problems will occur in the individual components included.

[0057] S103. Determine the material credibility bias of the modified components in a single analysis area according to the adaptation mutation index, the first level, the second level, and the first quantity of components that coexist in the single analysis area and other analysis areas.

[0058] Specifically, analyzing the unreasonable modification situation based on the material level performance of a certain component in a single analysis area is rather one-sided. Compare the unreasonable modification situations of components in similar layout areas in the target project to judge the actual degree of false reporting. Among them, the judgment of the similarity degree of areas in the target project can be made by the difference degree of various component material levels included in the design of different areas. When the difference degree is smaller, the actual usage purposes or environmental situations of the areas are more similar, and it has more reference significance for comparison.

[0059] Further, as an optional embodiment of the present invention, determining the material credibility bias of the modified components in a single analysis area according to the adaptation mutation index, the first level, the second level, the first quantity of components that coexist in the single analysis area and other analysis areas includes: determining the degree difference of the level change of the current component according to the level difference of the current component in the single analysis area and other analysis areas; superimposing the degree differences of the level changes of the materials corresponding to all components in the single analysis area and other analysis areas to obtain the level modification difference situation of the materials corresponding to all components in the single analysis area; determining the material credibility bias of the modified component in the current single analysis area according to the level modification difference situation of the materials corresponding to all components in the single analysis area, the first quantity, and the adaptation mutation index.

[0060] Specifically, in the embodiment of the present invention, randomly select a type of component i in analysis area m and analysis area h respectively, and calculate the level difference of the materials used by the two components. Then, take the component of the same type with the minimum level difference obtained from component i in analysis area m and component i in analysis area h as the corresponding component. Secondly, use the formula to calculate the degree difference of the level change between component i in analysis area m and the corresponding component in analysis area h. Among them, represents the degree difference of the level change of the i-th component in analysis area m and analysis area h. represents the level difference of the material used by component i in analysis area m. represents the level difference of the material used by component i in analysis area h. Finally, superimpose the degree differences of the level changes of all components in analysis area m and analysis area h to obtain the level modification difference situation of the materials corresponding to all components in the analysis area, and specifically use the formula to calculate. represents the level modification difference situation of the materials corresponding to all components in analysis area m and analysis area h. Indicates the difference in the degree of level change of the i-th component in analysis area m and analysis area h. Indicates the number of component i existing in analysis area m and analysis area h.

[0061] Furthermore, as an optional embodiment of the present invention, the determined loss of trust bias of the material of the current component in a single analysis area according to the difference in the level modification of the materials corresponding to all components in the single analysis area, the first quantity, and the adaptation mutation index includes: calculating the fifth difference between the adaptation mutation indices of the material level changes of each component in the single analysis area and other analysis areas, and the fifth ratio between the first quantity and the difference in the level modification of the materials corresponding to all components in the single analysis area, and calculating the sixth product between the fifth difference and the fifth ratio; superimposing the sixth products corresponding to all analysis areas in the target project to obtain a second superimposed value; performing normalization processing on the second superimposed value to obtain the loss of trust bias.

[0062] Specifically, the embodiment of the present invention specifically calculates the loss of trust bias using the following formula:

[0063]

[0064] In the above formula, Indicates the loss of trust bias of the material of the modified component i in analysis area m. Indicates the first quantity of the components co-existing in analysis area m and analysis area h. Indicates the difference in the level modification of the materials corresponding to all components in analysis area m and analysis area h. Indicates the adaptation mutation index of the material level change of the i-th component in the m-th analysis area. Indicates the adaptation mutation index of the material level change of the i-th component in the h-th analysis area. Is the number of analysis areas in the target project. Is the design similarity degree between analysis area m and analysis area h, and the larger the value, the more similar. When the value is larger, it proves that the use of the modified material of component i in analysis area m is more unreasonable compared to the corresponding component in analysis area h. When the value is larger, it proves that the material of component i in analysis area m is more unreasonable in terms of modification compared to other areas, and it is more likely to be misreported. The sigmoid function is used to Perform normalization processing, and its value range is (0, 1).

[0065] S104. In the case where the loss of trust bias is greater than the threshold, determine that the material of the modified component is abnormal, and re-adjust the project cost of the target project based on the material of the abnormal component after modification.

[0066] Specifically, in the embodiments of the present invention, the threshold value can be determined according to the actual situation. In the embodiments of the present invention, the value is 0.6. When > 0.6, there are problems with the modification of the material of the component, and there may be false reporting problems.

[0067] Furthermore, in the embodiments of the present invention, the components that may have false reporting problems obtained through analysis are stored and marked in the database. The component numbers, component types, material levels, etc. of the components with false reporting problems in the database are detected and queried in the controller through SQL query statements, and are displayed on the computer screen of the engineering management analyst in the form of a table. Exemplarily, as shown in Table 1, Table 1 is an information table of the component numbers, component types, material levels, etc. of the components with false reporting problems.

[0068] Table 1 Information Table of Components with False Reporting Problems

[0069]

[0070] Furthermore, in the embodiments of the present invention, on-site inspections of the construction sites are carried out on the modified components with problems, and the materials used after the final inspection are used as a reference for the cost results. The BIM model of the completed building is obtained, and the quality of the construction is judged by comparing the BIM model during design with the model after completion. Then, the project cost is adjusted according to the price of the actual materials used.

[0071] In the embodiments of the present invention, the project cost is combined with the BIM model. According to the differences in the material levels of the components used during design and after completion in each analysis area of the target project and the change situation of the material levels of the components in the analysis area of the target project compared with those of other components, the rationality of the change in the material level of this component is analyzed, that is, the degree of deviation from trustworthiness. If the degree of deviation from trustworthiness of the material change of the component in this analysis area is too high, it indicates that the material of the component after modification is abnormal and there may be false reporting. Therefore, the embodiments of the present invention can analyze the rationality of the material modification situation of the components in the target project, identify false reporting situations, thereby accurately judging the true project cost, improving the accuracy of the project cost of the engineering project, and ensuring the effectiveness of the cost control of the construction project and the guarantee of the project benefits.

[0072] Embodiment 2:

[0073] Corresponding to the engineering management-oriented project cost data analysis method provided in the above embodiment, based on the same technical concept, the embodiments of the present invention also provide an engineering management-oriented project cost data analysis system. The engineering management-oriented project cost data analysis system is used to execute the above engineering management-oriented project cost data analysis method. Figure 2The structural schematic diagram of a project cost data parsing system for project management provided by an embodiment of the present invention is as follows Figure 2 As shown, the project cost data parsing system 200 for project management includes: a determination module 201, configured to determine the component change value of the components of the target project according to the materials corresponding to the components in the first BIM model and the second BIM model of the target project. The first BIM model includes components with different performances and corresponding materials during the design of the target project, and the second BIM model includes components with different performances and corresponding materials at the completion of the target project; the determination module 201 is further configured to determine the adaptation mutation index of the material level change of each component in a single analysis area according to the component change value of each component actually used in the single analysis area of the target project, the first level of the materials used by each component during design, and the second level of the materials used by each component at completion; the determination module 201 is further configured to determine the credit loss bias of the materials of each component after modification in the single analysis area according to the adaptation mutation index, the first level, the second level, and the first quantity of the components coexisting in the single analysis area and other analysis areas; the determination module 201 is further configured to determine that the materials of the components after modification are abnormal when the credit loss bias is greater than the threshold, and readjust the project cost of the target project based on the materials of the abnormal components after modification.

[0074] Embodiment III:

[0075] Corresponding to the project cost data parsing method for project management provided in the above embodiment, based on the same technical concept, an embodiment of the present invention further provides a project cost data parsing system for project management. This project cost data parsing system for project management is used to execute the above project cost data parsing method for project management. Figure 3 The structural schematic diagram of a project cost data parsing system for project management provided by another embodiment of the present invention is as follows Figure 3 As shown. The project cost data parsing system for project management may vary greatly due to configuration or performance differences, and may include one or more processors 301 and a memory 302. The memory 302 is used to store computer programs that can run on the processor 301. The processor 301 is configured to execute the programs stored in the memory 302 to implement each step in the method embodiments above Figure 1 Among them, the memory 302 can be short-term storage or persistent storage. The application programs stored in the memory 302 may include one or more modules (not shown in the figure), and each module may include a series of computer-executable instructions for the project cost data parsing system for project management.

[0076] Further, the processor 301 can be configured to communicate with the memory 302 and execute a series of computer-executable instructions in the memory 302 on the project cost data parsing system for engineering management. The project cost data parsing system for engineering management may further include one or more power supplies 303, one or more wired or wireless network interfaces 304, one or more input / output interfaces 305, and one or more keyboards 306.

[0077] Specifically, in this embodiment, the project cost data parsing system for engineering management includes a processor, a communication interface, a memory, and a communication bus; wherein, the processor, the communication interface, and the memory complete communication with each other through the bus; the memory is used to store computer programs; the processor is used to execute the programs stored on the memory to implement each of the steps in the method embodiments above Figure 1 and has the beneficial effects of the above method embodiments. To avoid repetition, the embodiments of the present invention will not be described in detail herein.

[0078] It should be noted that the project cost data parsing system for engineering management provided by the embodiments of the present invention and the project cost data parsing method for engineering management provided by the embodiments of the present invention are based on the same application concept. Therefore, the specific implementation of this embodiment can refer to the implementation of the aforementioned project cost data parsing method for engineering management and has the same or similar beneficial effects. The repeated parts will not be described again.

[0079] It should be noted that the above sequence of the embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0080] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for parsing project cost data for engineering management, characterized in that, The engineering management-oriented project cost data analysis method includes: Determining the component change value of the components of the target project according to the materials corresponding to the components in the first BIM model and the second BIM model of the target project, where the first BIM model includes components with different performances and corresponding materials during the design of the target project, and the second BIM model includes components with different performances and corresponding materials at the completion of the target project; Determining the adaptation mutation index of the material level change of each component in the single analysis area of the target project according to the component change value of each component actually used in the single analysis area of the target project, the first level of the materials used for each component during design, and the second level of the materials used for each component at completion; Determining the credit loss bias of the materials of each component after modification in the single analysis area according to the adaptation mutation index, the first level, the second level, and the first quantity of the components co-existing in the single analysis area and other analysis areas; When the credit loss bias is greater than the threshold, determining that the materials of the components after modification are abnormal, and re-adjusting the project cost of the target project based on the materials of the abnormal components after modification.

2. The engineering cost data analysis method for engineering management according to claim 1, characterized in that The determining the component change value of the components of the target project according to the materials corresponding to the components in the first BIM model and the second BIM model of the target project includes: Establishing a sample space with the ascending direction of the performance strength of the performance required by the components in the target project as the positive direction of the coordinate axis of the sample space, and representing the performances and corresponding performance strengths of the components required at different positions in the target project in the form of data points in the sample space; Clustering the data points of each component to obtain a plurality of clustering clusters, where the performances and corresponding performance strengths of the components in each clustering cluster are similar; Determining the rating bias of the materials that can be used by the component when used in the target project according to the distance between the center point of the clustering cluster and the zero point of the sample space and the unit price of the materials that the component can use; Sorting the materials that the component can use in descending order according to each rating bias, and using the sorting serial number of the materials as the level of the materials; Obtaining the first level of the materials used by the component during design in the single analysis area of the target project and the second level of the materials used by the component in the single analysis area at the completion of the target project; Calculating the absolute value of the first difference between the first level and the second level to obtain the level difference; Determining the component change value of each component actually used in the target project according to the root mean square error between the first BIM model and the second BIM model and the level difference.

3. The engineering management-oriented engineering cost data analysis method according to claim 2, characterized in that The determining the rating bias of the materials that can be used by the component when used in the target project according to the distance between the center point of the clustering cluster and the zero point of the sample space and the unit price of the materials that the component can use includes: Determining the maximum value among the unit prices of all the materials that the component can use; Calculate a first ratio between the unit material price of each material that the component can adopt and the maximum value; Determine a first product between the first ratio and the distance as the rating bias of each material that the component can adopt.

4. The method for parsing project cost data for engineering management according to claim 2, wherein The component change values of each component actually adopted in the target project determined according to the root mean square error between the first BIM model and the second BIM model and the level difference include: Calculate a second product between the root mean square error and the level difference; Perform normalization processing on the second product to obtain the component change values of each component actually adopted in the target project.

5. The method for parsing project cost data for engineering management according to claim 1, characterized in that The adaptation mutation index of the material level change of each component in the single analysis area determined according to the component change values of each component actually used in the single analysis area of the target project, the first level of the material adopted by each component during design and the second level of the material adopted by each component at the time of completion includes: Calculate the average change value of the component change values of the components used at each position in the single analysis area; Determine a second quantity of components whose first level of the material adopted by the components during design is inconsistent with the second level of the material of the components used at the time of completion in the single analysis area and a third quantity of all types of components in the single analysis area; Determine the modified outlier degree of the material level change of each component in the single analysis area according to the average change value of the component change values of the current components in the single analysis area, the average change value of the component change values of other components in the single analysis area, the second quantity and the third quantity; Calculate the absolute value of the first difference between the first level and the second level to obtain the level difference; Determine the adaptation mutation index of the material level change of each component according to the level difference of the material adopted by each component, the modified outlier degree and the second level.

6. The engineering cost data parsing method for engineering management according to claim 5, characterized in that The modified outlier degree of the material level change of each component in the single analysis area determined according to the average change value of the component change values of the current components in the single analysis area, the average change value of the component change values of other components in the single analysis area, the second quantity and the third quantity includes: Calculate the absolute value of the second difference between the average change value of the component change values of the current components in the single analysis area and the average change value of the component change values of other components in the single analysis area, and superimpose the absolute values of each second difference to obtain a first superimposed value; Calculate a third difference between the second quantity and a predetermined value, a third product between the third quantity and the average change value of the component change values of the current components in the single analysis area, and calculate a second ratio between the third product and the second quantity; Calculate a third ratio between the first superimposed value and the third difference; Determine a fourth product between the second ratio and the third ratio as the modified outlier degree.

7. The method for parsing project cost data for engineering management according to claim 5, characterized in that Determining the adaptation mutation index of the material level change of each of the components according to the level difference of the materials used for each of the components, the modified outlier degree, and the second level includes: Determining the maximum difference among the level differences of the materials used for the component, and calculating a fourth difference between the maximum difference and the level difference of the materials used for the component; Calculating a fourth ratio between the modified outlier degree and the fourth difference; Determining that the fifth product between the fourth ratio and the second level is the adaptation mutation index of the material level change of the component.

8. The method for parsing project cost data for engineering management according to any one of claims 1-7, characterized in that Determining the credibility bias of the modified materials of the components in the single analysis area according to the adaptation mutation index, the first level, the second level, and the first quantity of the components that coexist in the single analysis area and other analysis areas includes: Determining the degree difference of the level change of the current component according to the level difference of the current components in the single analysis area and other analysis areas; Superimposing the degree differences of the level changes of the materials corresponding to all the components in the single analysis area and other analysis areas to obtain the level modification difference situation of the materials corresponding to all the components in the single analysis area; Determining the credibility bias of the modified materials of the current component in the single analysis area according to the level modification difference situation of the materials corresponding to all the components in the single analysis area, the first quantity, and the adaptation mutation index.

9. The engineering management-oriented project cost data parsing method according to claim 8, wherein Determining the credibility bias of the modified materials of the current component in the single analysis area according to the level modification difference situation of the materials corresponding to all the components in the single analysis area, the first quantity, and the adaptation mutation index includes: Calculating a fifth difference between the adaptation mutation indexes of the material level changes of the components in the single analysis area and other analysis areas, and a fifth ratio between the first quantity and the level modification difference situation of the materials corresponding to all the components in the single analysis area, and calculating a sixth product between the fifth difference and the fifth ratio; Superimposing the sixth products corresponding to all the analysis areas in the target project to obtain a second superimposed value; Performing a normalization process on the second superimposed value to obtain the credibility bias.

10. A project cost data analysis system for engineering management, characterized in that, Including: A processor and a memory; wherein, the memory is used for storing a computer program that can run on the processor; The processor is used for executing the program stored on the memory to implement the steps of the engineering cost data analysis method for engineering management as described in any one of claims 1-9.

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